Toronto
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Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	Dallas 29-49-4, 62pts	2	FINAL	3	Toronto 51-24-7, 109pts

Team Stats
L1	Streak	W5
16-24-1	Home Record	29-10-2
13-25-3	Away Record	22-14-5
4-5-1	Last 10 Games	6-3-1
2.51	Buts par match	3.34
3.18	Buts contre par match	2.72
16.26%	Pourcentage en avantage numérique	17.84%
80.43%	Pourcentage en désavantage numérique	83.78%

New Jersey
33-41-8, 74pts

FINAL

Toronto
51-24-7, 109pts

Team Stats
L1	Streak	W5
16-21-4	Home Record	29-10-2
17-20-4	Away Record	22-14-5
2-7-1	Last 10 Games	6-3-1
2.71	Buts par match	3.34
2.95	Buts contre par match	2.72
13.26%	Pourcentage en avantage numérique	17.84%
79.30%	Pourcentage en désavantage numérique	83.78%

Meneurs d'équipe
	Buts Connor McDavid 37	Passes Connor McDavid 58

	Points Connor McDavid 95	Plus/Moins Kris Letang 24

	Victoires John Gibson 37	Pourcentage d’arrêts John Gibson 0.916

Statistiques d’équipe
Buts pour 274 3.34 GFG	Tirs pour 2610 31.83 Avg	Pourcentage en avantage numérique 17.8% 48 GF	Début de zone offensive 41.2%
Buts contre 223 2.72 GAA	Tirs contre 2607 31.79 Avg	Pourcentage en désavantage numérique 83.8%% 48 GA	Début de la zone défensive 41.2%

Informations de l'équipe
	Directeur général	Richard Gadbois
	Entraîneur	Patrick Roy
	Division	Atlantique
	Conférence	Conference Est
	Capitaine	Connor McDavid
	Assistant #1	Cam Fowler
	Assistant #2	Oliver Ekman-Larsson
Informations de l’aréna
	Nom	Air Canada Centrer
	Capacité	23,167
	Assistance	19,902
	Billets de saison	9,267
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	20
	Limite contact	40 / 50
	Espoirs	12
Plafond salarial
	Cap Salarial de la Saison estimé	65,099,274$
	Plafond salarial disponible	-99,274$
	Valeur du plafond salarial spécial	1,582,500$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	67,442,874$
	Dépenses annuelles à ce jour	67,130,077$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	13,025,042$
	Compte bancaire projeté	13,025,042$
Historique d'équipe
	Saison actuelle	51-24-7 (109PTS)
	Historique	102-48-14 (0.622%)
	Apparitions en séries éliminatoires	0
	Historique en séries éliminatoires (W-L)	-
	Coupe Stanley	0

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Connor McDavid (C)	X				100.00	79	33	99	99	90	99	96	96	79	91	91	78	89	46	79	87	50	0	0	24	1	9,000,000$
2	Mikhail Grigorenko	X	X			100.00	61	27	95	77	89	83	90	73	87	69	71	67	79	50	38	48	50	0	0	27	2	900,000$
3	Alex DeBrincat		X	X		100.00	80	36	99	99	79	97	99	81	78	79	84	62	87	41	40	82	50	0	0	23	4	4,200,000$
4	Tyler Ennis		X	X		100.00	69	33	99	82	73	86	83	78	50	74	79	68	84	71	62	34	50	0	0	32	2	2,500,000$
5	Tyler Bozak	X		X		100.00	72	30	93	71	83	79	92	71	94	70	69	74	87	83	82	1	50	0	0	35	2	1,200,000$
6	Elias Lindholm	X		X		100.00	80	33	95	92	89	94	99	83	86	82	77	63	82	53	46	62	50	0	0	26	1	6,000,000$
7	Jakub Vrana		X	X		100.00	74	35	94	95	91	87	91	82	75	77	80	56	92	47	49	72	50	0	0	25	1	4,600,000$
8	Mike Richards	X	X			100.00	87	42	65	52	72	77	91	71	92	70	72	77	75	97	99	22	50	0	0	36	3	1,200,000$
9	Mika Zibanejad	X				100.00	85	33	87	84	82	91	97	80	90	77	76	61	91	57	54	64	50	0	0	28	1	6,750,000$
10	Mathieu Perreault		X	X		100.00	71	33	95	68	74	69	81	76	77	72	76	75	70	78	70	27	50	0	0	33	1	2,220,000$
11	William Carrier (R)		X			100.00	86	39	75	81	88	77	91	78	76	75	78	69	85	49	45	61	50	0	0	26	2	2,100,000$
12	Logan Couture	X	X			100.00	71	35	96	75	73	81	91	83	95	80	78	75	82	77	82	45	50	0	0	32	1	3,430,000$
13	Michael Del Zotto				X	100.00	68	32	84	71	80	86	82	71	50	70	61	90	72	69	63	47	50	0	0	31	1	4,000,000$
14	Cam Fowler (A)				X	100.00	67	32	79	86	85	93	92	79	50	75	69	94	80	59	56	59	50	0	0	29	3	4,400,000$
15	Oliver Ekman-Larsson (A)				X	100.00	80	52	57	83	82	97	97	73	25	72	72	95	81	63	51	58	50	0	0	29	4	5,500,000$
16	John Moore				X	100.00	58	40	93	87	82	82	83	58	50	59	53	86	62	60	51	52	50	0	0	30	3	1,000,000$
17	Kris Letang				X	100.00	91	32	78	77	73	98	87	65	30	69	60	93	80	86	80	37	50	0	0	34	1	2,800,000$
18	Dmitry Kulikov				X	100.00	76	37	73	74	80	93	93	61	1	60	55	94	70	70	65	57	50	0	0	30	3	3,500,000$
Rayé
Équipe Mineure
1	Nikolai Zherdev		X	X		100.00	68	33	93	61	75	67	90	67	84	63	68	60	83	97	95	17	50	0	0	35	2	1,240,000$
2	Oscar Moller		X	X		100.00	66	28	99	75	77	85	80	67	70	69	69	72	75	84	75	25	50	0	0	32	3	500,000$
3	Rocco Grimaldi		X	X		100.00	73	19	96	76	67	78	81	69	70	66	72	63	82	56	54	54	50	0	0	28	1	750,000$
4	Valtteri Filppula	X	X	X		100.00	61	23	91	66	75	80	90	72	80	70	68	63	84	87	83	1	50	0	0	37	2	1,350,000$
5	Jimmy Vesey		X	X		100.00	74	31	75	76	87	82	95	73	70	72	72	65	80	55	45	56	50	0	0	28	1	675,000$
6	David Desharnais	X	X			100.00	57	25	97	71	66	81	92	71	86	72	71	64	88	76	70	34	50	0	0	34	2	1,200,000$
7	Nick Bonino	X	X			100.00	57	36	92	58	75	78	83	68	85	68	64	67	79	64	90	30	50	0	0	33	2	850,000$
8	Kyle Okposo			X		100.00	70	34	93	73	78	88	87	73	70	65	73	59	85	62	53	37	50	0	0	33	2	1,203,000$
9	Linus Omark		X	X		100.00	60	23	95	61	71	67	84	72	50	64	68	64	75	78	59	26	50	0	0	34	2	650,000$
10	Luca Sbisa				X	100.00	68	41	72	80	81	81	95	58	1	58	52	86	62	70	53	41	50	0	0	31	2	1,000,000$
11	Nikita Tryamkin				X	100.00	76	35	65	79	93	82	99	54	55	55	52	87	80	49	39	55	50	0	0	26	2	900,000$
12	Brent Seabrook				X	100.00	64	32	88	55	81	76	97	56	31	56	48	88	75	92	90	23	50	0	0	36	3	1,180,000$
13	Mark Borowiecki				X	100.00	81	55	43	60	91	74	87	48	50	48	49	87	62	63	60	34	50	0	0	31	2	800,000$
14	Casey Nelson				X	100.00	74	34	82	76	81	82	83	51	50	50	44	87	71	55	55	51	50	0	0	28	3	500,000$
15	Mark Pysyk				X	100.00	62	34	95	75	80	88	86	58	50	52	61	84	78	58	57	59	50	0	0	29	3	1,000,500$
16	Jim O'Brien	X		X		100.00	65	22	92	60	78	70	89	65	73	62	64	68	75	58	58	28	50	0	0	32	2	951,000$
17	Joe Colborne	X	X	X		100.00	74	39	81	71	86	81	86	70	98	72	70	61	83	61	61	51	50	0	0	31	1	999,999$
18	Juuso Riikola				X	100.00	77	29	85	80	87	82	80	48	51	49	44	83	77	53	49	60	50	0	0	27	2	650,000$

	MOYENNE D’ÉQUIPE					100.00	75	35	86	81	81	87	91	76	66	73	72	77	80	64	62	51	50	0

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Jake Oettinger (R)	100.00	70	88	89	95	85	95	96	93	92	91	89	38	38	89	50	0	0	22	3	800,000$
2	John Gibson	100.00	74	91	90	91	85	99	99	99	99	96	94	57	57	69	50	0	0	27	2	2,800,000$
Rayé
Équipe Mineure
1	David Rittich	100.00	71	87	88	91	83	95	96	93	93	93	93	59	59	57	50	0	0	28	3	500,000$
2	Michal Neuvirth	100.00	65	81	82	87	78	93	97	98	98	82	85	79	78	43	50	0	0	33	3	500,000$

	MOYENNE D’ÉQUIPE	100.00	72	90	90	93	85	97	98	96	96	94	92	48	48	79	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	97	84	84	95	99	99	57	CAN	54	2	3,500,000$

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Connor McDavid	Toronto	C	81	37	58	95	18	14	0	99	176	367	91	259	10.08%	9	1741	21.50	4	14	18	56	226	1	0	1	5	131	3	2	46.89%	2425	1	1.09	4	9	0	0	0	10	6	7
2	Elias Lindholm	Toronto	C/RW	82	21	44	65	20	22	0	78	106	213	51	166	9.86%	8	1556	18.99	5	15	20	35	219	0	0	0	0	17	4	3	52.41%	664	0	0.84	0	4	0	0	0	3	2	5
3	Alex DeBrincat	Toronto	LW/RW	82	32	32	64	18	39	5	98	82	242	56	157	13.22%	9	1642	20.03	4	6	10	45	239	0	0	0	0	29	7	0	50.39%	127	1	0.78	3	3	0	0	1	6	3	4
4	Cam Fowler	Toronto	D	81	14	42	56	14	18	0	45	98	168	47	104	8.33%	128	1957	24.17	6	7	13	80	214	1	0	1	4	258	3	0	0.00%	0	0	0.57	0	0	0	0	0	0	5	2
5	Oliver Ekman-Larsson	Toronto	D	80	17	38	55	19	136	30	193	71	152	46	90	11.18%	117	1807	22.59	9	10	19	66	223	0	1	1	0	154	2	2	0.00%	0	0	0.61	0	0	3	0	3	5	6	3
6	William Carrier	Toronto	LW	82	26	27	53	20	85	15	156	53	175	44	105	14.86%	7	1467	17.90	2	7	9	26	172	0	0	0	2	42	2	3	50.89%	112	0	0.72	0	1	0	1	2	1	1	7
7	Logan Couture	Toronto	C/LW	79	19	33	52	-13	23	5	58	143	181	55	149	10.50%	12	1614	20.44	4	11	15	33	219	0	3	3	5	228	6	1	54.07%	2029	0	0.64	1	5	0	1	0	4	0	9
8	Jakub Vrana	Toronto	LW/RW	81	23	26	49	7	26	0	48	80	194	58	155	11.86%	3	1473	18.19	6	4	10	33	223	0	0	0	2	11	4	0	48.72%	117	0	0.66	0	4	0	0	0	3	3	1
9	Tyler Ennis	Toronto	LW/RW	83	20	23	43	5	15	5	24	60	184	60	116	10.87%	8	1325	15.97	2	4	6	27	150	0	0	0	2	66	1	2	40.41%	146	0	0.65	0	3	0	0	1	3	5	1
10	Kris Letang	Toronto	D	78	11	30	41	24	94	0	155	78	105	27	70	10.48%	123	1720	22.06	4	7	11	44	196	1	1	2	1	214	3	3	0.00%	0	0	0.48	0	0	0	0	0	4	2	1
11	Mika Zibanejad	Toronto	C	79	11	28	39	-6	64	0	150	109	180	54	132	6.11%	8	1406	17.81	2	9	11	31	207	0	0	0	1	64	1	1	51.38%	1812	0	0.55	3	6	0	0	0	0	1	4
12	Michael Del Zotto	Toronto	D	75	14	23	37	-8	22	0	44	55	100	32	62	14.00%	99	1555	20.74	8	6	14	51	211	0	0	0	3	230	2	1	0.00%	0	1	0.48	0	0	0	0	0	1	4	0
13	Dmitry Kulikov	Toronto	D	82	9	26	35	22	36	10	83	61	103	35	63	8.74%	130	1799	21.94	5	4	9	40	178	0	0	0	1	236	1	2	0.00%	0	0	0.39	0	0	0	0	2	2	0	2
14	Mathieu Perreault	Toronto	LW/RW	82	14	14	28	10	30	10	29	51	110	50	93	12.73%	8	1177	14.36	0	1	1	0	5	2	0	2	12	181	2	1	42.22%	90	0	0.48	0	0	0	0	2	2	1	0
15	Tyler Bozak	Toronto	C/RW	82	9	16	25	14	6	0	26	84	82	19	65	10.98%	6	856	10.44	0	0	0	0	0	0	1	1	1	188	3	1	55.91%	1023	0	0.58	0	0	0	0	0	1	1	2
16	John Moore	Toronto	D	64	4	16	20	13	13	5	11	38	32	8	25	12.50%	54	876	13.69	0	1	1	5	22	0	0	0	0	18	0	0	0.00%	0	0	0.46	0	0	0	0	1	1	0	1
17	Nikita Tryamkin	Toronto (TOR)	D	19	0	8	8	-1	20	0	37	8	10	10	9	0.00%	18	326	17.17	0	1	1	2	7	0	0	0	0	14	0	0	0.00%	0	0	0.49	0	0	0	0	0	0	0	1
18	Mike Richards	Toronto	C/LW	45	1	3	4	-2	46	10	42	42	31	7	19	3.23%	4	389	8.67	0	0	0	1	7	0	0	0	1	68	0	0	56.94%	353	0	0.21	0	0	0	1	1	0	0	0
19	Oscar Moller	Toronto (TOR)	LW/RW	22	2	1	3	1	0	0	1	6	16	1	11	12.50%	1	140	6.40	0	0	0	0	0	0	0	0	2	29	0	0	43.48%	23	0	0.43	0	0	0	0	0	0	0	0
20	Joe Colborne	Toronto (TOR)	C/LW/RW	15	0	1	1	0	0	0	7	5	6	0	4	0.00%	0	70	4.70	0	0	0	0	0	0	0	0	0	0	0	0	61.45%	83	0	0.28	0	0	0	0	0	0	0	0
21	Luca Sbisa	Toronto (TOR)	D	2	0	0	0	1	0	0	1	0	5	1	0	0.00%	2	22	11.16	0	0	0	3	3	0	0	0	0	2	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0	0	0
22	Mikhail Grigorenko	Toronto	C/LW	7	0	0	0	2	0	0	0	2	0	0	4	0.00%	1	24	3.57	0	0	0	0	0	0	0	0	0	5	0	0	0.00%	1	0	0.00%	0	0	0	0	0	0	0	0
23	Brent Seabrook	Toronto (TOR)	D	3	0	0	0	-1	0	0	1	2	0	0	0	0.00%	1	13	4.56	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0	0	0
24	Jimmy Vesey	Toronto (TOR)	LW/RW	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.73	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0	0	0
25	David Desharnais	Toronto (TOR)	C/LW	1	0	0	0	0	0	0	0	0	0	0	1	0.00%	0	9	9.42	0	0	0	0	1	0	0	0	0	0	0	0	57.14%	14	0	0.00%	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1388	284	489	773	177	709	95	1386	1410	2656	752	1859	10.69%	756	24979	18.00	61	107	168	578	2732	5	6	11	42	2196	44	22	51.34%	9019	3	0.62	11	35	3	3	13	46	40	50

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	John Gibson	Toronto	67	37	25	3	0.916	2.66	4022	8	7	178	2118	4	0	0.808	26	66	15	8	5	5
2	Jake Oettinger	Toronto	32	20	6	6	0.911	2.72	1919	2	1	87	974	0	1	0.737	19	32	38	3	2	1
Statistiques d’équipe totales ou en moyenne			99	57	31	9	0.914	2.68	5942	10	8	265	3092	4	1		45	98	53	11	7	6

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Alex DeBrincat (contrat à 1 volet)	Toronto	LW/RW	23	1997-12-18	No	169 Lbs	5 ft7	No	No	Yes	Yes	4	Pro & Farm	4,200,000$	4,200,000$	0$	No	4,200,000$	4,200,000$	4,200,000$	Lien
Cam Fowler (contrat à 1 volet)	Toronto	D	29	1991-12-05	No	216 Lbs	6 ft1	No	No	Yes	Yes	3	Pro & Farm	4,400,000$	4,400,000$	0$	No	4,400,000$	4,400,000$		Lien
Connor McDavid (contrat à 1 volet)	Toronto	C	24	1997-01-13	No	206 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	9,000,000$	9,000,000$	0$	No				Lien
Dmitry Kulikov (contrat à 1 volet)	Toronto	D	30	1990-10-29	No	227 Lbs	6 ft3	No	No	Yes	Yes	3	Pro & Farm	3,500,000$	3,500,000$	0$	No	3,500,000$	3,500,000$		Lien
Elias Lindholm (contrat à 1 volet)	Toronto	C/RW	26	1994-12-02	No	195 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	6,000,000$	6,000,000$	0$	No				Lien
Jake Oettinger	Toronto	G	22	1998-12-18 05:08:52	Yes	220 Lbs	6 ft5	No	No	No	No	3	Pro & Farm	800,000$	800,000$	0$	No	800,000$	800,000$		Lien
Jakub Vrana (contrat à 1 volet)	Toronto	LW/RW	25	1996-02-28	No	202 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	4,600,000$	4,600,000$	0$	No				Lien
John Gibson (contrat à 1 volet)	Toronto	G	27	1993-07-14 09:31:55	No	234 Lbs	6 ft3	No	No	Yes	Yes	2	Pro & Farm	2,800,000$	2,800,000$	0$	No	2,800,000$			Lien
John Moore (contrat à 1 volet)	Toronto	D	30	1990-11-19	No	208 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	1,000,000$	1,000,000$	0$	No	1,000,000$	1,000,000$		Lien
Kris Letang (contrat à 1 volet)	Toronto	D	34	1987-04-24	No	209 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	2,800,000$	2,800,000$	0$	No				Lien
Logan Couture (contrat à 1 volet)	Toronto	C/LW	32	1989-03-28	No	210 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	3,430,000$	3,430,000$	0$	No				Lien
Mathieu Perreault (contrat à 1 volet)	Toronto	LW/RW	33	1988-01-21	No	197 Lbs	5 ft10	No	No	Yes	Yes	1	Pro & Farm	2,220,000$	2,220,000$	0$	No				Lien
Michael Del Zotto (contrat à 1 volet)	Toronto	D	31	1990-06-24	No	202 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	4,000,000$	4,000,000$	0$	No				Lien
Mika Zibanejad (contrat à 1 volet)	Toronto	C	28	1993-04-18	No	228 Lbs	6 ft2	No	No	Yes	Yes	1	Pro & Farm	6,750,000$	6,750,000$	0$	No				Lien
Mike Richards	Toronto	C/LW	36	1985-02-11	No	208 Lbs	5 ft11	No	No	No	No	3	Pro & Farm	1,200,000$	1,200,000$	0$	No	1,200,000$	1,200,000$
Mikhail Grigorenko	Toronto	C/LW	27	1994-05-16	No	212 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	No	900,000$			Lien
Oliver Ekman-Larsson (contrat à 1 volet)	Toronto	D	29	1991-07-17	No	199 Lbs	6 ft2	No	No	Yes	Yes	4	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$	5,500,000$	Lien
Tyler Bozak (contrat à 1 volet)	Toronto	C/RW	35	1986-03-19	No	201 Lbs	6 ft1	No	No	Yes	Yes	2	Pro & Farm	1,200,000$	1,200,000$	0$	No	1,200,000$			Lien
Tyler Ennis (contrat à 1 volet)	Toronto	LW/RW	32	1989-01-19	No	176 Lbs	5 ft9	No	No	Yes	Yes	2	Pro & Farm	2,500,000$	2,500,000$	0$	No	2,500,000$			Lien
William Carrier (contrat à 1 volet)	Toronto	LW	26	1994-12-20	Yes	215 Lbs	6 ft2	No	No	Yes	Yes	2	Pro & Farm	2,100,000$	2,100,000$	0$	No	2,100,000$			Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	28.95	207 Lbs	6 ft1	2.05	3,445,000$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
68,900,000$	30,100,000$	20,600,000$	9,700,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jakub Vrana	Connor McDavid	Alex DeBrincat	38	0	0	5
2	William Carrier	Logan Couture	Elias Lindholm	38	0	0	5
3	Mathieu Perreault	Mika Zibanejad	Tyler Ennis	20	1	2	2
4	Mikhail Grigorenko	Mike Richards	Tyler Bozak	4	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cam Fowler	Oliver Ekman-Larsson	40	0	2	3
2	Kris Letang	Dmitry Kulikov	38	0	2	3
3	Michael Del Zotto	John Moore	22	1	3	1
4	Cam Fowler	Oliver Ekman-Larsson	0	1	3	1

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex DeBrincat	Connor McDavid	Elias Lindholm	60	0	0	5
2	William Carrier	Logan Couture	Jakub Vrana	40	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cam Fowler	Oliver Ekman-Larsson	60	0	0	5
2	Kris Letang	Michael Del Zotto	40	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Logan Couture	Mathieu Perreault	55	1	4	0
2	Tyler Bozak	Mike Richards	45	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cam Fowler	Oliver Ekman-Larsson	55	0	5	0
2	Kris Letang	Dmitry Kulikov	45	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Connor McDavid	55	0	5	0	Cam Fowler	Oliver Ekman-Larsson	55	0	5	0
2	Logan Couture	45	0	5	0	Kris Letang	Dmitry Kulikov	45	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Connor McDavid	Alex DeBrincat	55	0	2	3
2	Logan Couture	Elias Lindholm	45	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cam Fowler	Oliver Ekman-Larsson	55	0	3	2
2	Kris Letang	Michael Del Zotto	45	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex DeBrincat	Connor McDavid	Elias Lindholm	Cam Fowler	Oliver Ekman-Larsson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Logan Couture	Connor McDavid	Mathieu Perreault	Cam Fowler	Oliver Ekman-Larsson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
William Carrier, Tyler Ennis, Mathieu Perreault	William Carrier, Tyler Ennis	Mathieu Perreault

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Dmitry Kulikov, Oliver Ekman-Larsson, Kris Letang	Dmitry Kulikov	Oliver Ekman-Larsson, Kris Letang

Tirs de pénalité
Jakub Vrana, Mika Zibanejad, Connor McDavid, Alex DeBrincat, Tyler Bozak

Gardien
#1 : John Gibson, #2 : Jake Oettinger

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim	2	1	0	0	0	0	1	0	6	4	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	1	0	4	3	1	4	1.000	6	9	15	0	0	3	2	0	1	53	20	19	11	6	76	22	22	31	6	1	16.67%	10	1	90.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	46	31	53	16	25	11
2	Arizona	2	1	1	0	0	0	0	0	10	10	0	1	1	0	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	10	17	27	0	0	4	3	3	0	72	26	30	16	0	74	22	32	35	6	1	16.67%	5	1	80.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	47	34	47	13	24	13
3	Boston	6	0	3	0	0	1	1	1	13	19	-6	3	0	2	0	0	0	1	0	5	8	-3	3	0	1	0	0	1	0	1	8	11	-3	4	0.333	13	21	34	1	0	5	3	4	3	186	73	56	51	12	182	54	42	108	19	4	21.05%	20	2	90.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	152	108	143	44	76	36
4	Buffalo	7	6	0	0	0	1	0	0	32	16	16	3	3	0	0	0	0	0	0	15	7	8	4	3	0	0	0	1	0	0	17	9	8	13	0.929	32	54	86	0	0	12	10	10	0	236	83	72	78	3	195	77	48	123	27	8	29.63%	18	2	88.89%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	173	124	163	51	87	43
5	Chicago	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	6	3	3	4	1.000	11	17	28	0	1	3	4	4	0	78	18	27	33	0	44	11	10	28	8	2	25.00%	4	0	100.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	53	37	41	14	25	13
6	Columbus	5	4	0	0	0	0	1	0	19	10	9	3	2	0	0	0	0	1	0	12	8	4	2	2	0	0	0	0	0	0	7	2	5	10	1.000	19	33	52	0	0	3	9	6	2	143	53	44	45	6	179	59	61	76	19	4	21.05%	24	3	87.50%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	118	80	124	35	61	31
7	Dallas	3	1	1	0	0	0	1	0	9	9	0	2	0	1	0	0	0	1	0	5	8	-3	1	1	0	0	0	0	0	0	4	1	3	4	0.667	9	15	24	0	0	3	1	4	1	109	40	28	37	6	92	31	37	54	13	2	15.38%	16	3	81.25%	1	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	80	55	65	22	38	20
8	Detroit	6	1	4	0	0	0	0	1	15	23	-8	3	1	1	0	0	0	0	1	9	10	-1	3	0	3	0	0	0	0	0	6	13	-7	3	0.250	15	27	42	0	0	6	6	3	0	194	55	69	69	4	194	74	46	110	19	2	10.53%	22	6	72.73%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	149	104	140	42	75	39
9	Edmonton	2	2	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	7	1	6	4	1.000	12	24	36	0	0	6	2	4	0	72	26	20	26	0	61	14	8	31	10	2	20.00%	4	1	75.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	50	36	45	14	24	12
10	Floride	6	2	2	0	0	0	2	0	19	18	1	3	1	0	0	0	0	2	0	12	6	6	3	1	2	0	0	0	0	0	7	12	-5	8	0.667	19	31	50	0	1	8	5	4	2	196	65	60	66	12	216	63	41	100	18	2	11.11%	18	4	77.78%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	147	105	149	41	73	35
11	LosAngeles	2	2	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	2	0	2	4	1.000	5	10	15	0	2	4	1	0	0	58	26	17	15	0	42	21	13	38	5	0	0.00%	4	0	100.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	51	37	44	12	24	12
12	Minnesota	2	0	1	0	0	0	0	1	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	5	6	11	0	0	1	2	2	0	61	23	20	17	5	77	18	24	41	4	1	25.00%	12	0	100.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	43	28	54	16	27	13
13	Montreal	6	4	2	0	0	0	0	0	16	11	5	3	2	1	0	0	0	0	0	8	5	3	3	2	1	0	0	0	0	0	8	6	2	8	0.667	16	28	44	0	2	8	4	4	0	191	72	67	52	0	165	43	47	112	25	3	12.00%	20	2	90.00%	1	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	151	106	132	43	76	39
14	NYRangers	5	5	0	0	0	0	0	0	22	10	12	2	2	0	0	0	0	0	0	12	5	7	3	3	0	0	0	0	0	0	10	5	5	10	1.000	22	42	64	0	0	8	9	5	0	168	56	55	57	0	138	39	53	102	14	4	28.57%	13	0	100.00%	1	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	122	86	115	32	61	32
15	Nashville	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	4	8	12	0	0	3	1	0	0	55	16	21	18	0	79	25	20	40	3	1	33.33%	4	1	75.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	45	30	49	13	25	12
16	New Jersey	4	4	0	0	0	0	0	0	20	11	9	2	2	0	0	0	0	0	0	8	5	3	2	2	0	0	0	0	0	0	12	6	6	8	1.000	20	36	56	0	0	6	4	10	0	150	50	47	53	0	128	41	41	81	15	4	26.67%	16	3	81.25%	1	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	95	67	97	29	47	24
17	Philadelphie	4	1	3	0	0	0	0	0	7	12	-5	2	1	1	0	0	0	0	0	4	5	-1	2	0	2	0	0	0	0	0	3	7	-4	2	0.250	7	13	20	0	0	2	2	3	0	121	41	40	40	0	129	43	18	71	12	1	8.33%	7	0	100.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	93	64	95	28	50	25
18	Pittsburgh	4	1	2	0	0	0	0	1	6	10	-4	2	1	1	0	0	0	0	0	3	3	0	2	0	1	0	0	0	0	1	3	7	-4	3	0.375	6	11	17	0	1	3	2	1	2	100	34	26	38	6	107	27	54	56	14	0	0.00%	22	4	81.82%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	95	67	99	29	49	23
19	San Jose	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	6	10	16	0	0	3	2	1	0	69	23	23	23	0	62	22	35	39	6	1	16.67%	10	2	80.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	44	31	52	13	23	11
20	St. Louis	2	0	0	0	1	1	0	0	8	8	0	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	1	0	0	0	4	3	1	3	0.750	8	11	19	0	0	2	3	2	1	70	23	25	18	4	69	11	16	45	5	1	20.00%	8	1	87.50%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	48	33	48	13	25	12
21	Vancouver	2	1	0	0	1	0	0	0	8	6	2	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	16	24	0	0	2	4	1	1	61	23	17	20	1	76	19	20	29	7	2	28.57%	9	4	55.56%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	45	32	50	15	24	11
22	Washington	4	2	0	0	1	0	1	0	18	10	8	2	1	0	0	1	0	0	0	9	6	3	2	1	0	0	0	0	1	0	9	4	5	8	1.000	18	30	48	0	0	6	3	7	3	119	42	39	36	5	148	35	60	67	9	2	22.22%	15	3	80.00%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	92	64	102	29	49	24
23	Winnipeg	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	5	8	0	0	1	1	1	0	48	16	14	18	0	74	12	30	40	5	0	0.00%	15	5	66.67%	0	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	38	24	55	16	26	13
	Total	82	41	24	0	3	3	7	4	274	223	51	41	22	10	0	2	1	5	1	142	106	36	41	19	14	0	1	2	2	3	132	117	15	109	0.665	274	474	748	1	7	102	83	79	16	2610	904	836	837	70	2607	783	778	1457	269	48	17.84%	296	48	83.78%	4	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	1987	1393	1974	590	1023	513
	_Since Last GM Reset	82	41	24	0	3	3	7	4	274	223	51	41	22	10	0	2	1	5	1	142	106	36	41	19	14	0	1	2	2	3	132	117	15	109	0.665	274	474	748	1	7	102	83	79	16	2610	904	836	837	70	2607	783	778	1457	269	48	17.84%	296	48	83.78%	4	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	1987	1393	1974	590	1023	513
	_Vs Conference	57	30	16	0	1	2	5	3	187	150	37	28	16	6	0	1	0	4	1	97	68	29	29	14	10	0	0	2	1	2	90	82	8	77	0.675	187	326	513	1	4	67	57	57	12	1804	624	575	585	48	1781	555	511	1006	191	34	17.80%	195	29	85.13%	3	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	1393	979	1365	407	708	355
	_Vs Division	31	13	11	0	0	2	3	2	95	87	8	15	7	4	0	0	0	3	1	49	36	13	16	6	7	0	0	2	0	1	46	51	-5	36	0.581	95	161	256	1	3	39	28	25	5	1003	348	324	316	31	952	311	224	553	108	19	17.59%	98	16	83.67%	1	1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%	774	547	729	222	388	193

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
82	109	W5	274	474	748	2610	2607	783	778	1457	1	7

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	41	24	3	3	7	4	274	223

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	10	2	1	5	1	142	106

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	14	1	2	2	3	132	117

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	1

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
269	48	17.84%	296	48	83.78%	4

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
904	836	837	70	102	83	79	16

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
1564	3042	51.41%	1526	3042	50.16%	652	1294	50.39%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
1987	1393	1974	590	1023	513

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
1 - 2022-11-25	1	Toronto	5	Buffalo	1	AW			Sommaire du match
3 - 2022-11-26	15	Buffalo	3	Toronto	4	BW			Sommaire du match
5 - 2022-11-27	24	Toronto	4	Detroit	6	AL			Sommaire du match
7 - 2022-11-28	35	Toronto	3	Boston	4	AL			Sommaire du match
9 - 2022-11-29	44	Boston	3	Toronto	1	BL			Sommaire du match
11 - 2022-11-30	56	Toronto	1	Pittsburgh	4	AL			Sommaire du match
12 - 2022-11-30	58	Toronto	4	Montreal	3	AW			Sommaire du match
14 - 2022-12-01	72	Columbus	3	Toronto	4	BW	X	X	Sommaire du match
16 - 2022-12-02	83	Toronto	3	NYRangers	2	AW			Sommaire du match
18 - 2022-12-03	97	Detroit	3	Toronto	4	BW			Sommaire du match
21 - 2022-12-05	114	Floride	3	Toronto	4	BW	X	X	Sommaire du match
23 - 2022-12-06	128	Toronto	4	Columbus	1	AW			Sommaire du match
24 - 2022-12-06	133	Toronto	0	Floride	5	AL			Sommaire du match
26 - 2022-12-07	142	Toronto	2	Buffalo	3	AL	X		Sommaire du match
28 - 2022-12-08	151	Montreal	1	Toronto	5	BW			Sommaire du match
31 - 2022-12-10	165	Boston	3	Toronto	4	BW	X	X	Sommaire du match
33 - 2022-12-11	179	Toronto	5	NYRangers	2	AW			Sommaire du match
35 - 2022-12-12	190	Pittsburgh	3	Toronto	2	BL			Sommaire du match
40 - 2022-12-14	211	San Jose	3	Toronto	5	BW			Sommaire du match
42 - 2022-12-15	216	Toronto	6	Buffalo	2	AW			Sommaire du match
44 - 2022-12-16	232	Philadelphie	4	Toronto	2	BL			Sommaire du match
46 - 2022-12-17	239	Toronto	3	Vancouver	2	AW			Sommaire du match
48 - 2022-12-18	253	Toronto	2	Pittsburgh	3	AL	X	X	Sommaire du match
50 - 2022-12-19	262	Floride	3	Toronto	4	BW	X	X	Sommaire du match
54 - 2022-12-21	278	Toronto	3	Minnesota	4	AL	X	X	Sommaire du match
55 - 2022-12-22	285	St. Louis	5	Toronto	4	BL	X		Sommaire du match
58 - 2022-12-23	305	Buffalo	3	Toronto	5	BW			Sommaire du match
62 - 2022-12-25	323	Winnipeg	2	Toronto	1	BL			Sommaire du match
64 - 2022-12-26	336	Toronto	8	New Jersey	3	AW			Sommaire du match
67 - 2022-12-28	349	Philadelphie	1	Toronto	2	BW			Sommaire du match
69 - 2022-12-29	362	Toronto	2	NYRangers	1	AW			Sommaire du match
72 - 2022-12-30	373	LosAngeles	0	Toronto	3	BW			Sommaire du match
75 - 2023-01-01	387	Toronto	1	Montreal	3	AL			Sommaire du match
77 - 2023-01-02	396	Toronto	7	Edmonton	1	AW			Sommaire du match
78 - 2023-01-02	402	Floride	0	Toronto	4	BW			Sommaire du match
81 - 2023-01-04	415	Toronto	2	LosAngeles	0	AW			Sommaire du match
83 - 2023-01-05	421	Toronto	2	Winnipeg	4	AL			Sommaire du match
84 - 2023-01-05	429	Washington	3	Toronto	4	BW	X		Sommaire du match
86 - 2023-01-06	445	Toronto	4	New Jersey	3	AW			Sommaire du match
88 - 2023-01-07	453	Washington	3	Toronto	5	BW			Sommaire du match
92 - 2023-01-09	473	Pittsburgh	0	Toronto	1	BW			Sommaire du match
93 - 2023-01-10	484	Toronto	3	Arizona	4	AL			Sommaire du match
96 - 2023-01-11	497	Chicago	0	Toronto	5	BW			Sommaire du match
98 - 2023-01-12	510	Toronto	4	St. Louis	3	AW	X		Sommaire du match
100 - 2023-01-13	519	Buffalo	1	Toronto	6	BW			Sommaire du match
102 - 2023-01-14	532	Toronto	3	Nashville	5	AL			Sommaire du match
103 - 2023-01-15	542	Toronto	4	Dallas	1	AW			Sommaire du match
105 - 2023-01-16	549	NYRangers	3	Toronto	6	BW			Sommaire du match
108 - 2023-01-17	564	Toronto	3	Boston	4	AL	X	X	Sommaire du match
110 - 2023-01-18	572	Boston	2	Toronto	0	BL			Sommaire du match
113 - 2023-01-20	584	Toronto	3	Floride	4	AL			Sommaire du match
115 - 2023-01-21	595	NYRangers	2	Toronto	6	BW			Sommaire du match
116 - 2023-01-21	601	Toronto	3	Montreal	0	AW			Sommaire du match
119 - 2023-01-23	611	Toronto	4	Floride	3	AW			Sommaire du match
122 - 2023-01-24	622	Nashville	4	Toronto	1	BL			Sommaire du match
124 - 2023-01-25	639	Toronto	3	Columbus	1	AW			Sommaire du match
125 - 2023-01-26	645	Montreal	0	Toronto	3	BW			Sommaire du match
128 - 2023-01-27	662	Toronto	2	Boston	3	AL	X		Sommaire du match
129 - 2023-01-28	668	Arizona	6	Toronto	7	BW			Sommaire du match
132 - 2023-01-29	677	Toronto	1	Detroit	4	AL			Sommaire du match
135 - 2023-01-31	692	Minnesota	3	Toronto	2	BL			Sommaire du match
136 - 2023-01-31	700	Toronto	1	Detroit	3	AL			Sommaire du match
139 - 2023-02-02	715	Toronto	6	Chicago	3	AW			Sommaire du match
140 - 2023-02-02	720	Columbus	2	Toronto	4	BW			Sommaire du match
144 - 2023-02-04	739	Toronto	4	Anaheim	3	AW	X	X	Sommaire du match
145 - 2023-02-05	744	Columbus	3	Toronto	4	BW			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2023-02-06	763	Toronto	4	Buffalo	3	AW			Sommaire du match
149 - 2023-02-07	768	Edmonton	2	Toronto	5	BW			Sommaire du match
154 - 2023-02-09	789	Detroit	2	Toronto	1	BL			Sommaire du match
156 - 2023-02-10	801	Toronto	1	San Jose	5	AL			Sommaire du match
158 - 2023-02-11	814	Montreal	4	Toronto	0	BL			Sommaire du match
160 - 2023-02-12	822	Toronto	4	Washington	3	AW	X	X	Sommaire du match
162 - 2023-02-13	835	Toronto	1	Philadelphie	4	AL			Sommaire du match
163 - 2023-02-14	840	Detroit	5	Toronto	4	BL	X	X	Sommaire du match
167 - 2023-02-16	859	Toronto	2	Philadelphie	3	AL			Sommaire du match
168 - 2023-02-16	864	Vancouver	4	Toronto	5	BW	X		Sommaire du match
173 - 2023-02-19	888	Dallas	6	Toronto	2	BL			Sommaire du match
177 - 2023-02-21	910	New Jersey	3	Toronto	5	BW			Sommaire du match
181 - 2023-02-23	928	Anaheim	1	Toronto	2	BW			Sommaire du match
184 - 2023-02-24	939	Toronto	5	Washington	1	AW			Sommaire du match
189 - 2023-02-27	957	Dallas	2	Toronto	3	BW	X	X	Sommaire du match
194 - 2023-03-01	974	New Jersey	2	Toronto	3	BW			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6500	6944	2778	5556	1389
Prix des billets	85	48	39	28	165
Assistance	248,799	230,617	98,569	194,951	43,036
Attendance PCT	93.36%	81.00%	86.54%	85.58%	75.57%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	19902 - 85.91%	1,644,948$	67,442,874$	23167	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
67,130,077$	68,900,000$	68,900,000$	0$	1,582,500$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
349,746$	63,516,774$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	367,513$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	13,025,042$	13,025,042$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
65,099,274$	-99,274$	65,000,000$	25,099,274$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Alex DeBrincat	AGE:23	PO:82	OV:0
Jakub Vrana	AGE:25	PO:72	OV:0
William Carrier (R)	AGE:26	PO:61	OV:0
Jimmy Vesey	AGE:28	PO:56	OV:0
Rocco Grimaldi	AGE:28	PO:54	OV:0
Joe Colborne	AGE:31	PO:51	OV:0
Mikhail Grigorenko	AGE:27	PO:48	OV:0
Logan Couture	AGE:32	PO:45	OV:0
Tyler Ennis	AGE:32	PO:34	OV:0
David Desharnais	AGE:34	PO:34	OV:0
Nick Bonino	AGE:33	PO:30	OV:0
Mathieu Perreault	AGE:33	PO:27	OV:0
Linus Omark	AGE:34	PO:26	OV:0
Oscar Moller	AGE:32	PO:25	OV:0
Mike Richards	AGE:36	PO:22	OV:0
Nikolai Zherdev	AGE:35	PO:17	OV:0
Valtteri Filppula	AGE:37	PO:1	OV:0

Connor McDavid	AGE:24	PO:87	OV:0
Mika Zibanejad	AGE:28	PO:64	OV:0
Elias Lindholm	AGE:26	PO:62	OV:0
Joe Colborne	AGE:31	PO:51	OV:0
Mikhail Grigorenko	AGE:27	PO:48	OV:0
Logan Couture	AGE:32	PO:45	OV:0
David Desharnais	AGE:34	PO:34	OV:0
Nick Bonino	AGE:33	PO:30	OV:0
Jim O'Brien	AGE:32	PO:28	OV:0
Mike Richards	AGE:36	PO:22	OV:0
Valtteri Filppula	AGE:37	PO:1	OV:0
Tyler Bozak	AGE:35	PO:1	OV:0

Alex DeBrincat	AGE:23	PO:82	OV:0
Jakub Vrana	AGE:25	PO:72	OV:0
Elias Lindholm	AGE:26	PO:62	OV:0
Jimmy Vesey	AGE:28	PO:56	OV:0
Rocco Grimaldi	AGE:28	PO:54	OV:0
Joe Colborne	AGE:31	PO:51	OV:0
Kyle Okposo	AGE:33	PO:37	OV:0
Tyler Ennis	AGE:32	PO:34	OV:0
Jim O'Brien	AGE:32	PO:28	OV:0
Mathieu Perreault	AGE:33	PO:27	OV:0
Linus Omark	AGE:34	PO:26	OV:0
Oscar Moller	AGE:32	PO:25	OV:0
Nikolai Zherdev	AGE:35	PO:17	OV:0
Valtteri Filppula	AGE:37	PO:1	OV:0
Tyler Bozak	AGE:35	PO:1	OV:0

Défense #1

Défense #2

Gardien

Juuso Riikola	AGE:27	PO:60	OV:0
Cam Fowler	AGE:29	PO:59	OV:0
Mark Pysyk	AGE:29	PO:59	OV:0
Oliver Ekman-Larsson	AGE:29	PO:58	OV:0
Dmitry Kulikov	AGE:30	PO:57	OV:0
Nikita Tryamkin	AGE:26	PO:55	OV:0
John Moore	AGE:30	PO:52	OV:0

Casey Nelson	AGE:28	PO:51	OV:0
Michael Del Zotto	AGE:31	PO:47	OV:0
Luca Sbisa	AGE:31	PO:41	OV:0
Kris Letang	AGE:34	PO:37	OV:0
Mark Borowiecki	AGE:31	PO:34	OV:0
Brent Seabrook	AGE:36	PO:23	OV:0

Jake Oettinger (R)	AGE:22	PO:89	OV:0
John Gibson	AGE:27	PO:69	OV:0
David Rittich	AGE:28	PO:57	OV:0
Michal Neuvirth	AGE:33	PO:43	OV:0

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Alexander Holtz	Toronto	19	10
Alexei Toropchenko	Toronto	16	135
Brendan De Jong	Toronto	16	136
Chase De Leo	Toronto	13	74
Francis Perron	Toronto	13	138
Ian Scott	Toronto	16	103
Keean Washkurak	Toronto	18	162
Markus Phillips	Toronto	16	83
Matvey Guskov	Toronto	18	166
Noel Hoefenmayer	Toronto	16	116
Santeri Virtanen	Toronto	16	145
Trevor Zegras	Toronto	18	4

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
23
24
25

Toronto Historique de transactions

[2023-07-12 19:50:28] - Joakim Ryan was released.
[2023-07-12 19:50:28] - Toronto paid 0 $ to release Joakim Ryan.
[2023-05-30 23:12:43] - Casey Nelson signed with Toronto for 500 000 $ for 3 year(s).
[2023-05-30 23:12:43] - Casey Nelson was added to Toronto.
[2023-05-16 22:16:27] - TRADE : From Toronto to Buffalo : Phillip Danault, 2 000 000 $ (Money).
[2023-05-16 22:16:27] - TRADE : From Buffalo to Toronto : Logan Couture.
[2023-05-16 03:23:24] - TRADE : From Toronto to Montreal : Y:21-RND:3-TOR, Y:22-RND:6-TOR.
[2023-05-16 03:23:24] - TRADE : From Montreal to Toronto : Michael Del Zotto.
[2023-05-12 04:20:27] - TRADE : From Toronto to Columbus : Denis Gurianov.
[2023-05-12 04:20:27] - TRADE : From Columbus to Toronto : Mika Zibanejad, Y:21-RND:3-TOR.
[2023-03-29 19:08:09] - Oliver Ekman-Larsson has been selected as assistant for Toronto.
[2023-03-29 19:08:09] - Unknown Player is no longer as assistant for Toronto.
[2023-03-18 13:46:30] - TRADE : From Toronto to Anaheim : Curtis Lazar, Y:21-RND:7-VAN, Y:22-RND:5-TOR.
[2023-03-18 13:46:30] - TRADE : From Anaheim to Toronto : Mathieu Perreault.
[2023-03-17 21:00:13] - TRADE : From Toronto to Columbus : Peyton Krebs (P), Y:22-RND:3-PIT, Y:21-RND:6-PIT.
[2023-03-17 21:00:13] - TRADE : From Columbus to Toronto : Phillip Danault.
[2023-03-10 21:32:30] - TRADE : From Toronto to Washington : Auston Matthews, 2 000 000 $ (Money).
[2023-03-10 21:32:30] - TRADE : From Washington to Toronto : Alexander Holtz (P), Trevor Zegras (P), Peyton Krebs (P).
[2023-03-08 08:11:56] - Oscar Moller signed with Toronto for 500 000 $ for 3 year(s).
[2023-03-08 08:11:56] - Oscar Moller was added to Toronto.
[2023-03-06 21:33:33] - TRADE : From Toronto to Pittsburgh : Adam Erne, Steven Stamkos.
[2023-03-06 21:33:33] - TRADE : From Pittsburgh to Toronto : Curtis Lazar, Jakub Vrana, Y:21-RND:6-PIT, Y:22-RND:3-PIT.
[2023-02-15 08:25:42] - TRADE : From Toronto to Columbus : Adin Hill, Zach Hyman.
[2023-02-15 08:25:42] - TRADE : From Columbus to Toronto : Tyler Ennis.
[2023-02-04 17:40:06] - Michal Neuvirth signed with Toronto for 500 000 $ for 3 year(s).
[2023-02-04 17:40:06] - Michal Neuvirth was added to Toronto.
[2023-02-04 17:38:12] - Spencer Martin was released.
[2023-02-04 17:38:12] - Toronto paid 0 $ to release Spencer Martin.
[2023-02-04 17:30:54] - TRADE : From Columbus to Toronto : John Gibson.
[2023-02-04 17:30:54] - TRADE : From Toronto to Columbus : Cory Schneider, Luke Kunin, Y:22-RND:1-TOR.
[2023-01-08 07:14:52] - TRADE : From Toronto to Arizona : Nikita Zadorov, Y:22-RND:4-TOR.
[2023-01-08 07:14:06] - TRADE : From Arizona to Toronto : Denis Gurianov.
[2022-12-12 23:06:26] - New Record for Team's Most Shots Blocked (24) in 1 Game for Toronto!
[2022-12-06 01:50:27] - David Rittich signed with Toronto for 500 000 $ for 3 year(s).
[2022-12-06 01:50:27] - David Rittich was added to Toronto.
[2022-11-28 05:42:45] - Valtteri Filppula has been selected as assistant for Toronto.
[2022-11-28 05:42:45] - Unknown Player is no longer as assistant for Toronto.
[2022-11-28 05:42:45] - Nick Bonino has been selected as assistant for Toronto.
[2022-11-28 05:42:45] - Unknown Player is no longer as assistant for Toronto.
[2022-11-28 05:42:45] - Brent Seabrook has been selected as captain for Toronto.
[2022-11-28 05:42:45] - Unknown Player is no longer captain for Toronto.
[2022-11-28 05:42:45] - Cam Fowler has been selected as assistant for Toronto.
[2022-11-28 05:42:45] - Unknown Player is no longer as assistant for Toronto.
[2022-11-24 05:26:42] - TRADE : From Columbus to Toronto : Cam Fowler, William Carrier.
[2022-11-24 05:26:42] - TRADE : From Toronto to Columbus : Brendan Leipsic, Erik Karlsson, Y:21-RND:1-TOR, Y:21-RND:4-VAN.
[2022-11-18 12:01:22] - Darren Archibald was released.
[2022-11-18 12:01:22] - Toronto paid 0 $ to release Darren Archibald.
[2022-11-18 12:01:17] - Cody Franson was released.
[2022-11-18 12:01:17] - Toronto paid 0 $ to release Cody Franson.
[2022-11-18 12:01:10] - Tyrell Goulbourne was released.
[2022-11-18 12:01:10] - Toronto paid 0 $ to release Tyrell Goulbourne.
[2022-11-18 11:27:15] - Ryan Hartman was released.
[2022-11-18 11:27:15] - Toronto paid 0 $ to release Ryan Hartman.
[2022-11-16 01:26:03] - Andrej Sekera was released.
[2022-11-16 01:26:03] - Toronto paid 0 $ to release Andrej Sekera.
[2022-11-16 01:25:56] - Brian Lashoff was released.
[2022-11-16 01:25:56] - Toronto paid 0 $ to release Brian Lashoff.
[2022-11-16 01:25:22] - Mike Condon was released.
[2022-11-16 01:25:22] - Toronto paid 0 $ to release Mike Condon.
[2022-11-13 16:29:35] - Brent Seabrook signed with Toronto for 1 180 000 $ for 3 year(s).
[2022-11-13 16:29:35] - Brent Seabrook was added to Toronto.
[2022-11-13 16:27:27] - Brian Gibbons signed with Toronto for 560 000 $ for 3 year(s) / Option : 1 Way Contract .
[2022-11-13 16:27:27] - Brian Gibbons was added to Toronto.
[2022-11-13 16:26:33] - Mike Richards signed with Toronto for 1 200 000 $ for 3 year(s).
[2022-11-13 16:26:33] - Mike Richards was added to Toronto.
[2022-11-12 18:42:25] - Mark Pysyk signed with Toronto for 1 000 500 $ for 3 year(s).
[2022-11-12 18:42:25] - Mark Pysyk was added to Toronto.
[2022-11-10 21:02:29] - Cory Schneider signed with Toronto for 1 250 000 $ for 2 year(s) / Option : 1 Way Contract .
[2022-11-10 21:02:29] - Cory Schneider was added to Toronto.
[2022-11-10 20:59:28] - John Moore signed with Toronto for 1 000 000 $ for 3 year(s) / Option : 1 Way Contract .
[2022-11-10 20:59:28] - John Moore was added to Toronto.

[2023-08-19 11:22:35] Toronto are expected to be over the salary cap by $99,274!
[2023-07-12 19:50:28] Joakim Ryan was released by Toronto.
[2023-07-12 19:50:28] Toronto paid 0 $ to release Joakim Ryan.
[2023-07-12 19:37:53] Joakim Ryan(Toronto) cleared from waivers and was sent to down farm.
[2023-07-12 19:37:53] Joe Colborne(Toronto) cleared from waivers and was sent to down farm.
[2023-07-12 19:37:53] Jim O'Brien(Toronto) cleared from waivers and was sent to down farm.
[2023-07-12 19:37:53] Juuso Riikola(Toronto) cleared from waivers and was sent to down farm.
[2023-07-12 19:25:20] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-07-10 19:58:51] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-07-07 21:02:53] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-07-07 21:02:53] Toronto placed Joakim Ryan on waivers.
[2023-07-07 21:02:52] Toronto placed Joe Colborne on waivers.
[2023-07-07 21:02:51] Toronto placed Jim O'Brien on waivers.
[2023-07-07 21:02:49] Toronto placed Juuso Riikola on waivers.
[2023-07-05 20:54:55] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-07-03 22:08:25] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-07-01 05:43:06] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-28 20:52:50] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-26 23:11:54] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-23 23:10:00] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-21 01:04:17] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-19 20:00:28] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-16 17:37:45] Joakim Ryan(Toronto) cleared from waivers and was sent to down farm.
[2023-06-16 17:37:45] St. Louis claimed Michael Stone from waivers by Toronto for 0 $.
[2023-06-16 17:37:45] St. Louis claimed Brian Gibbons from waivers by Toronto for 0 $.
[2023-06-16 15:44:10] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-14 21:37:49] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-12 20:04:34] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-12 20:04:34] Mike Richards of Toronto was sent to pro.
[2023-06-12 20:04:34] Michael Stone of Toronto was sent down to farm.
[2023-06-12 20:04:34] Brian Gibbons of Toronto was sent down to farm.
[2023-06-12 20:04:34] Oscar Moller of Toronto was sent down to farm.
[2023-06-12 20:04:34] Mikhail Grigorenko of Toronto was sent to pro.
[2023-06-12 20:04:32] Toronto placed Joakim Ryan on waivers.
[2023-06-12 20:04:30] Toronto placed Michael Stone on waivers.
[2023-06-12 20:04:27] Toronto placed Brian Gibbons on waivers.
[2023-06-09 19:48:00] Mike Richards from Toronto is back from Exhaustion.
[2023-06-09 19:45:46] Mike Richards from Toronto is injured from Exhaustion.
[2023-06-09 19:35:58] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-07 21:08:03] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5
[2023-06-07 21:08:03] John Moore of Toronto was sent to pro.
[2023-06-05 22:07:12] Cam Fowler from Toronto is back from Exhaustion.
[2023-06-05 22:07:12] Juuso Riikola(Toronto) cleared from waivers and was sent to down farm.
[2023-06-05 21:57:47] Cam Fowler from Toronto is injured from Exhaustion.
[2023-06-05 21:47:53] Successfully loaded Toronto lines done with STHS Client - 3.3.5.5

Pas de blessure ou de suspension.

Toronto Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	P/20	PSG	PSS
1	Colton Sissons	160	50	84	134	-24	144	282	322	586	8.53%	32	3364	21.03	16	26	42	124	0	0	0	14	2	2	51.15	0.80	4	12
2	Shayne Gostisbehere	164	24	98	122	-60	44	50	194	360	6.67%	212	3837	23.40	20	26	46	200	0	2	2	0	0	0	0.00%	0.64	0	2
3	Ryan O'Reilly	158	48	70	118	-2	42	96	328	496	9.68%	40	3079	19.49	8	16	24	82	0	2	2	8	4	0	50.84	0.77	4	8
4	Gustav Nyqvist	166	56	60	116	-8	26	54	188	472	11.86%	22	3213	19.36	16	24	40	96	4	2	6	16	6	2	36.36	0.72	4	4
5	Nikolaj Ehlers	178	46	58	104	6	14	54	216	576	7.99%	12	3352	18.84	10	20	30	144	0	0	0	0	8	2	46.67	0.62	2	4

Toronto Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	EG	PS %	PSA
1	Andrei Vasilevskiy	130	58	58	10	0.899	3.20	7355	8	392	3882	4	2	0.750	80
2	Frederik Andersen	50	10	22	4	0.882	3.82	2422	0	154	1306	2	2	0.684	38
3	Samuel Montembeault	2	0	0	0	0.964	1.35	89	0	2	56	0	0	0.00%	0
4	Pavel Francouz	2	0	2	0	0.880	3.05	118	0	6	50	0	0	0.00%	0

Toronto Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison régulière
20	82	22	41	0	2	3	10	4	241	283	-42	41	12	18	0	2	0	5	4	126	134	-8	41	10	23	0	0	3	5	0	115	149	-34	75	241	403	644	2	0	87	75	67	24	2715	889	939	860	85	2649	770	772	1427	338	59	17.46%	293	66	77.47%	6	1581	3183	49.67%	1497	3015	49.65%	673	1341	50.19%	1959	1367	2009	598	1031	510
20	82	22	41	0	2	3	10	4	241	283	-42	41	12	18	0	2	0	5	4	126	134	-8	41	10	23	0	0	3	5	0	115	149	-34	75	241	403	644	2	0	87	75	67	24	2715	889	939	860	85	2649	770	772	1427	338	59	17.46%	293	66	77.47%	6	1581	3183	49.67%	1497	3015	49.65%	673	1341	50.19%	1959	1367	2009	598	1031	510
Total Saison régulière	164	82	48	0	6	6	14	8	548	446	102	82	44	20	0	4	2	10	2	284	212	72	82	38	28	0	2	4	4	6	264	234	30	218	548	948	1496	2	14	204	166	158	32	5220	1808	1672	1674	140	5214	1566	1556	2914	538	96	17.84%	592	96	83.78%	8	3128	6084	51.41%	3052	6084	50.16%	1304	2588	50.39%	3975	2787	3948	1181	2047	1026
Séries éliminatoires
Total Séries éliminatoires											0											0	0	0	0	0	0	0	0	0	0	0	0																						0.00%			0.00%				0.00%			0.00%			0.00%	0	0	0	0	0	0

Toronto Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Toronto Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Toronto
	GP: 82 \| W: 51 \| L: 24 \| OTL: 7 \| P: 109 GF: 274 \| GA: 223 \| PP%: 17.84% \| PK%: 83.78% DG: Richard Gadbois \| Morale : 50 \| Moyenne d’équipe : N/A