Columbus
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Cleveland 41-33-8, 90pts	3	Box score	4	San Jose 42-32-8, 92pts

Team Stats
W1	Streak	W2
20-17-4	Home Record	21-16-4
21-16-4	Home Record	21-16-4
7-3-0	Last 10 Games	5-5-0
2.84	Goals Per Game	3.37
3.22	Goals Against Per Game	3.35
16.94%	Power Play Percentage	19.00%
82.00%	Penalty Kill Percentage	79.62%

Cleveland
41-33-8, 90pts

Box score

Charlotte
58-16-8, 124pts

Team Stats
W1	Streak	L1
20-17-4	Home Record	33-5-3
21-16-4	Home Record	25-11-5
7-3-0	Last 10 Games	7-2-1
2.84	Goals Per Game	3.83
3.22	Goals Against Per Game	2.66
16.94%	Power Play Percentage	20.81%
82.00%	Penalty Kill Percentage	83.43%

Team Leaders
Goals Colin Wilson 25		Assists Dylan Samberg 47

Points Matthew Benning 57		Plus/Minus Chris Wagner 16

Wins Joseph Woll 22	Save Percentage Joseph Woll 0.918

Team Stats
Goals For 233 2.84 GFG	Shots For 2784 33.95 Avg	Power Play Percentage 16.9% 51 GF	Offensive Zone Start 41.1%
Goals Against 264 3.22 GAA	Shots Against 2886 35.20 Avg	Penalty Kill Percentage 82.0%% 74 GA	Defensive Zone Start 41.9%

Team Info
	General Manager	Dany Bourdeau
	Coach	Andre Tourigny
	Division	Atlantique
	Conference	Conference est
	Captain	Ryan Kesler
	Assistant #1	Jeff Petry
	Assistant #2	Dustin Brown
Arena Info
	Capacity	3,000
	Attendance	2,443
	Season Tickets	300
Roster Info
	Pro Team	20
	Farm Team	19
	Contract Limit	39 / 50
	Prospects	23

Show or Hide Columns

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Cory Conacher		X	X		100.00	67	33	94	72	72	69	79	69	53	67	70	60	72	70	64	24	50	0	0	34	2	800,000$
2	Derick Brassard	X	X	X		100.00	66	32	93	59	76	66	84	72	74	71	68	66	78	89	66	21	50	0	0	36	2	1,210,000$
3	Chris Wagner			X		100.00	78	28	76	67	77	71	84	67	70	65	68	68	75	76	73	23	50	0	0	33	2	850,000$
4	Ryan Kesler (C)	X		X		100.00	92	30	62	45	75	72	93	73	99	71	71	71	83	99	99	17	50	0	0	39	1	1,500,000$
5	Tomas Tatar		X	X		100.00	69	33	88	73	69	82	97	74	70	70	71	55	88	71	58	39	50	0	0	33	2	900,000$
6	Jordan Martinook	X	X	X		100.00	63	17	95	65	81	77	90	64	83	62	67	72	85	62	56	31	50	0	0	31	1	1,000,000$
7	Frank Vatrano		X	X		100.00	77	38	82	74	79	80	94	69	72	66	74	58	83	62	63	48	50	0	0	30	1	1,100,000$
8	Nick Cousins	X	X	X		100.00	65	31	80	74	77	75	87	66	73	66	65	57	85	61	49	35	50	0	0	30	2	1,000,000$
9	Dustin Brown (A)		X	X		100.00	68	20	85	57	77	71	99	71	69	73	66	64	83	89	99	20	50	0	0	39	1	951,000$
10	Oscar Lindberg	X	X	X		100.00	67	29	89	71	80	71	95	70	86	67	69	63	77	65	56	29	50	0	0	32	2	900,000$
11	Colin Wilson	X	X	X		100.00	67	22	94	70	78	69	90	72	82	66	72	66	83	74	67	27	50	0	0	34	2	1,100,000$
12	Jeff Petry (A)				X	100.00	81	33	66	62	80	78	96	68	25	67	60	87	51	82	70	29	50	0	0	36	3	1,200,000$
13	Michael Stone				X	100.00	67	45	61	58	82	78	98	53	50	50	52	85	56	74	60	35	50	0	0	34	2	950,000$
14	Dylan Samberg (R)				X	100.00	74	32	81	80	90	83	99	53	72	56	46	97	77	48	49	66	50	0	0	25	1	800,000$
15	Andreas Englund				X	100.00	88	76	62	71	88	76	99	45	70	46	44	86	75	59	58	51	50	0	0	27	3	825,000$
16	Brenden Dillon				X	100.00	94	57	60	69	90	84	97	54	50	54	55	91	75	78	74	36	50	0	0	33	2	1,300,000$
17	Matthew Benning				X	100.00	73	36	52	75	77	85	91	59	53	58	55	91	74	60	50	42	50	0	0	30	1	1,000,000$
Scratches

	TEAM AVERAGE					100.00	74	35	78	67	79	76	92	65	68	63	63	73	76	72	65	34	50	0

Show or Hide Columns

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Adin Hill	100.00	67	87	84	82	75	84	85	86	85	82	79	56	56	64	50	0	0	28	1	925,000$
2	Chad Johnson	100.00	56	90	82	81	70	81	79	82	83	77	73	96	95	7	50	0	0	38	2	500,000$
3	Joseph Woll (R)	100.00	67	92	86	82	76	88	86	89	89	79	70	52	52	72	50	0	0	25	1	700,000$
Scratches

	TEAM AVERAGE	100.00	63	90	84	82	74	84	83	86	86	79	74	68	68	48	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Andre Tourigny	78	74	85	96	92	88	75	CAN	51	2	2,500,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Matthew Benning	Cleveland (CLB)	D	82	18	39	57	9	108	10	145	101	181	42	102	9.94%	130	1765	21.53	10	13	23	98	258	0	0	0	3	301	1	1	100.00%	1	0	0	0.65	0	0	0	1	1	2	2	2
2	Dylan Samberg	Cleveland (CLB)	D	76	4	47	51	7	38	0	48	79	131	47	99	3.05%	141	1720	22.64	1	19	20	76	243	0	0	0	1	309	1	0	0%	0	0	0	0.59	0	0	0	0	0	1	2	1
3	Ryan Kesler	Cleveland (CLB)	C/RW	72	18	32	50	-1	116	0	252	175	158	34	120	11.39%	13	1553	21.58	3	9	12	26	213	1	0	1	5	253	4	1	60.91%	2251	1	0	0.64	2	3	0	0	0	4	2	4
4	Jeff Petry	Cleveland (CLB)	D	82	11	38	49	4	67	5	54	103	174	75	116	6.32%	128	1960	23.91	6	5	11	101	237	0	1	1	0	301	2	0	0%	0	2	0	0.50	0	1	0	0	0	0	4	2
5	Tomas Tatar	Cleveland (CLB)	LW/RW	82	20	27	47	1	40	0	94	53	251	61	147	7.97%	1	1334	16.28	7	9	16	59	254	0	0	0	0	0	4	1	45.19%	104	0	0	0.70	0	0	0	0	0	4	4	1
6	Colin Wilson	Cleveland (CLB)	C/LW/RW	79	25	22	47	-8	24	0	62	129	235	65	180	10.64%	14	1592	20.16	6	9	15	43	238	1	0	1	8	300	7	2	52.76%	1558	0	0	0.59	1	1	0	0	0	2	3	1
7	Brenden Dillon	Cleveland (CLB)	D	82	14	26	40	-5	236	60	207	90	169	48	121	8.28%	132	1874	22.86	7	6	13	84	235	0	0	0	2	259	3	0	0%	0	0	0	0.43	0	1	2	3	7	1	1	1
8	Derick Brassard	Cleveland (CLB)	C/LW/RW	81	12	24	36	-1	18	0	70	73	206	36	153	5.83%	15	1380	17.04	4	8	12	37	243	0	0	0	1	62	2	1	51.87%	509	0	0	0.52	1	1	0	0	0	2	3	2
9	Chris Wagner	Cleveland (CLB)	RW	82	18	17	35	16	72	0	131	57	197	39	133	9.14%	12	1145	13.97	1	2	3	6	66	0	0	0	0	5	4	2	51.38%	109	0	1	0.61	0	0	0	0	0	3	2	4
10	Oscar Lindberg	Cleveland (CLB)	C/LW/RW	81	9	25	34	-7	14	0	30	101	140	46	128	6.43%	9	1094	13.51	0	0	0	0	4	0	0	0	4	74	1	0	55.11%	1310	0	0	0.62	0	0	0	0	0	1	0	3
11	Dustin Brown	Cleveland (CLB)	LW/RW	69	9	23	32	0	10	0	28	55	155	34	116	5.81%	6	1484	21.51	3	2	5	32	205	0	0	0	6	274	0	1	49.75%	199	0	0	0.43	1	2	0	0	0	0	0	1
12	Andreas Englund	Cleveland (CLB)	D	82	10	18	28	-20	167	35	169	62	45	14	40	22.22%	86	1186	14.47	0	0	0	1	14	0	0	0	0	31	1	2	60.00%	5	1	0	0.47	0	0	2	0	5	0	2	1
13	Frank Vatrano	Cleveland (CLB)	LW/RW	78	15	11	26	-5	44	0	80	52	153	46	109	9.80%	7	998	12.80	0	0	0	2	9	0	0	0	0	9	3	2	49.44%	89	0	0	0.52	0	0	0	0	0	1	2	4
14	Michael Stone	Cleveland (CLB)	D	82	4	17	21	-15	31	5	39	40	64	12	36	6.25%	112	1260	15.38	0	0	0	2	3	0	0	0	2	134	1	0	0%	0	0	0	0.33	0	0	0	0	1	0	0	0
15	Jordan Martinook	Cleveland (CLB)	C/LW/RW	82	7	14	21	-6	6	0	17	54	70	23	67	10.00%	3	550	6.72	0	1	1	0	1	0	0	0	1	2	0	1	53.82%	602	0	0	0.76	0	0	0	0	0	2	0	0
16	Cory Conacher	Cleveland (CLB)	LW/RW	82	7	7	14	-12	17	5	30	47	107	38	91	6.54%	6	883	10.78	0	0	0	0	1	0	0	0	1	24	1	1	45.25%	221	0	0	0.32	0	0	1	0	0	2	0	0
17	Noah Gregor	Columbus	LW/RW	10	1	12	13	5	6	0	22	28	48	17	41	2.08%	2	247	24.76	0	2	2	8	35	0	0	0	0	38	0	1	57.75%	142	0	0	1.05	0	2	0	0	0	1	0	0
18	Nick Cousins	Cleveland (CLB)	C/LW/RW	82	4	8	12	-10	16	0	32	22	64	21	60	6.25%	0	530	6.47	0	0	0	0	0	0	0	0	0	0	0	1	51.72%	87	0	0	0.45	0	0	0	0	0	0	0	1
Team Total or Average				1366	206	407	613	-48	1030	120	1510	1321	2548	698	1859	8.08%	817	22564	16.52	48	85	133	575	2267	2	1	3	34	2384	35	17	55.38%	7187	4	1	0.54	5	11	5	4	14	26	27	28

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Joseph Woll	Cleveland (CLB)	37	22	11	4	0.918	2.83	2141	0	1	101	1237	1	0.636	11	37	11	8	5	1
2	Adin Hill	Cleveland (CLB)	40	19	17	2	0.910	3.03	2315	6	1	117	1294	2	1.000	3	38	35	3	3	4
3	Chad Johnson	Cleveland (CLB)	2	0	0	0	0.950	2.11	57	0	0	2	40	0	0	0	0	29	0	0	0
Team Total or Average			79	41	28	6	0.914	2.92	4514	6	2	220	2571	3		14	75	75	11	8	5

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Adin Hill	Cleveland (CLB)	G	28	1996-05-11	CAN	No	204 Lbs	6 ft6	No	No	N/A		No	No	1	2024-09-14	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Andreas Englund	Cleveland (CLB)	D	27	1996-09-21	SWE	No	200 Lbs	6 ft4	No	No	N/A		No	No	3	2025-09-09	False	False	Pro & Farm	825,000$	0$	0$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Brenden Dillon	Cleveland (CLB)	D	33	1990-11-13	CAN	No	225 Lbs	6 ft4	No	No	Free Agent		No	No	2	2024-10-02	False	False	Pro & Farm	1,300,000$	0$	0$	No	1,300,000$	-	-	-	-	-	-	-	-	1,300,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Chad Johnson	Cleveland (CLB)	G	38	1986-06-10	CAN	No	218 Lbs	6 ft3	No	No	Free Agent		No	No	2	2024-10-08	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Chris Wagner	Cleveland (CLB)	RW	33	1991-05-27	USA	No	197 Lbs	6 ft0	No	No	Free Agent		No	No	2	2024-09-26	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Colin Wilson	Cleveland (CLB)	C/LW/RW	34	1989-10-20	USA	No	223 Lbs	6 ft1	No	No	Free Agent		No	No	2	2024-09-23	False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Cory Conacher	Cleveland (CLB)	LW/RW	34	1989-12-14	CAN	No	187 Lbs	5 ft8	No	No	Free Agent		No	No	2	2025-09-26	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Derick Brassard	Cleveland (CLB)	C/LW/RW	36	1987-09-22	CAN	No	200 Lbs	6 ft1	No	No	Free Agent		No	No	2	2024-09-24	False	False	Pro & Farm	1,210,000$	0$	0$	No	1,210,000$	-	-	-	-	-	-	-	-	1,210,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dustin Brown	Cleveland (CLB)	LW/RW	39	1984-11-04	USA	No	206 Lbs	6 ft0	No	No	Free Agent		No	No	1	2025-09-23	False	False	Pro & Farm	951,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dylan Samberg	Cleveland (CLB)	D	25	1999-01-24	NA	Yes	216 Lbs	6 ft4	No	No	Trade	2024-10-06	No	No	1		False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Frank Vatrano	Cleveland (CLB)	LW/RW	30	1994-03-14	USA	No	206 Lbs	5 ft9	No	No	N/A		No	No	1	2024-09-14	False	False	Pro & Farm	1,100,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jeff Petry	Cleveland (CLB)	D	36	1987-12-09	USA	No	207 Lbs	6 ft3	No	No	Free Agent	2025-01-14	No	No	3	2025-09-23	False	False	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	1,200,000$	-	-	-	-	-	-	-	1,200,000$	1,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jordan Martinook	Cleveland (CLB)	C/LW/RW	31	1992-07-25	CAN	No	209 Lbs	6 ft0	No	No	Free Agent		No	No	1	2024-09-26	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joseph Woll	Cleveland (CLB)	G	25	1998-07-12	USA	Yes	212 Lbs	6 ft3	No	No	Prospect		No	No	1	2025-10-27	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matthew Benning	Cleveland (CLB)	D	30	1994-05-25	CAN	No	208 Lbs	6 ft1	No	No	N/A		No	No	1	2024-09-14	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michael Stone	Cleveland (CLB)	D	34	1990-06-07	CAN	No	218 Lbs	6 ft3	No	No	Free Agent		No	No	2	2024-10-02	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nick Cousins	Cleveland (CLB)	C/LW/RW	30	1993-07-20	CAN	No	192 Lbs	5 ft10	No	No	Free Agent		No	No	2	2024-10-02	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Oscar Lindberg	Cleveland (CLB)	C/LW/RW	32	1991-10-29	SWE	No	201 Lbs	6 ft1	No	No	Free Agent		No	No	2	2025-09-26	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ryan Kesler	Cleveland (CLB)	C/RW	39	1984-08-31	CAN	No	207 Lbs	6 ft2	No	No	Free Agent	2025-03-13	No	No	1	2025-09-22	False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tomas Tatar	Cleveland (CLB)	LW/RW	33	1990-12-01	SVK	No	189 Lbs	5 ft10	No	No	Free Agent		No	No	2	2025-09-30	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	32.35	206 Lbs	6 ft1	1.70	975,550$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dustin Brown	Ryan Kesler	Colin Wilson	35	1	2	2
2	Tomas Tatar	Derick Brassard	Chris Wagner	30	1	2	2
3	Frank Vatrano	Oscar Lindberg	Cory Conacher	25	1	2	2
4	Nick Cousins	Jordan Martinook	Ryan Kesler	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brenden Dillon	Jeff Petry	35	1	2	2
2	Dylan Samberg	Matthew Benning	30	1	2	2
3	Andreas Englund	Michael Stone	25	1	2	2
4	Brenden Dillon	Jeff Petry	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dustin Brown	Ryan Kesler	Colin Wilson	50	1	2	2
2	Tomas Tatar	Derick Brassard	Chris Wagner	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brenden Dillon	Jeff Petry	50	1	2	2
2	Dylan Samberg	Matthew Benning	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Kesler	Dustin Brown	50	1	2	2
2	Colin Wilson	Derick Brassard	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brenden Dillon	Jeff Petry	50	1	2	2
2	Dylan Samberg	Matthew Benning	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Kesler	50	1	2	2	Brenden Dillon	Jeff Petry	50	1	2	2
2	Dustin Brown	50	1	2	2	Dylan Samberg	Matthew Benning	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Kesler	Dustin Brown	50	1	2	2
2	Colin Wilson	Derick Brassard	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brenden Dillon	Jeff Petry	50	1	2	2
2	Dylan Samberg	Matthew Benning	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Dustin Brown	Ryan Kesler	Colin Wilson	Brenden Dillon	Jeff Petry

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Dustin Brown	Ryan Kesler	Colin Wilson	Brenden Dillon	Jeff Petry

Extra Forwards
Normal	PowerPlay	Penalty Kill
Frank Vatrano, Oscar Lindberg, Cory Conacher	Frank Vatrano, Oscar Lindberg	Cory Conacher

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Andreas Englund, Michael Stone, Dylan Samberg	Andreas Englund	Michael Stone, Dylan Samberg

Penalty Shots
Ryan Kesler, Dustin Brown, Colin Wilson, Derick Brassard, Tomas Tatar

Goalie
#1 : Joseph Woll, #2 : Adin Hill

Custom OT Lines Forwards
Ryan Kesler, Dustin Brown, Colin Wilson, Derick Brassard, Tomas Tatar, Chris Wagner, Frank Vatrano, Oscar Lindberg, Cory Conacher, Jordan Martinook

Custom OT Lines Defensemen
Brenden Dillon, Jeff Petry, Dylan Samberg, Matthew Benning, Andreas Englund

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	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	Abbotsford	2	0	0	0	0	1	0	1	8	10	-2	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	1	0	0	5	6	-1	2	0.500	8	16	24	0	0	83	62	79	11	77	917	848	984	47	83	28	29	38	10	3	30.00%	12	2	83.33%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
2	Bakersfield	2	1	1	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	5	1	4	2	0.500	9	17	26	0	0	83	62	79	11	94	917	848	984	47	67	22	16	29	12	2	16.67%	7	1	85.71%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
3	Bridgeport	6	3	3	0	0	0	0	0	21	23	-2	3	0	3	0	0	0	0	0	8	13	-5	3	3	0	0	0	0	0	0	13	10	3	6	0.500	21	38	59	0	0	83	62	79	11	213	917	848	984	47	175	52	54	92	32	7	21.88%	25	6	76.00%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
4	Charlotte	5	1	4	0	0	0	0	0	12	19	-7	2	0	2	0	0	0	0	0	4	6	-2	3	1	2	0	0	0	0	0	8	13	-5	2	0.200	12	23	35	0	0	83	62	79	11	166	917	848	984	47	169	55	68	93	27	4	14.81%	28	5	82.14%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
5	Coachella Valley	2	1	0	0	0	0	1	0	7	4	3	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	11	18	0	0	83	62	79	11	70	917	848	984	47	80	23	31	39	9	3	33.33%	13	1	92.31%	1	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
6	Eagles	2	1	0	0	1	0	0	0	7	5	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	14	21	0	0	83	62	79	11	82	917	848	984	47	60	17	16	43	13	4	30.77%	7	2	71.43%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
7	Grand Rapids	4	4	0	0	0	0	0	0	15	10	5	2	2	0	0	0	0	0	0	9	6	3	2	2	0	0	0	0	0	0	6	4	2	8	1.000	15	22	37	0	0	83	62	79	11	147	917	848	984	47	135	35	47	82	18	2	11.11%	19	5	73.68%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
8	Hartford	6	2	2	0	1	1	0	0	14	13	1	2	1	0	0	1	0	0	0	7	4	3	4	1	2	0	0	1	0	0	7	9	-2	7	0.583	14	27	41	0	1	83	62	79	11	184	917	848	984	47	193	52	78	107	20	1	5.00%	27	3	88.89%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
9	Hershey	4	0	4	0	0	0	0	0	6	23	-17	2	0	2	0	0	0	0	0	3	10	-7	2	0	2	0	0	0	0	0	3	13	-10	0	0.000	6	12	18	0	0	83	62	79	11	119	917	848	984	47	165	58	69	73	7	2	28.57%	27	8	70.37%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
10	Iowa	2	1	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	3	1	2	2	0.500	4	8	12	0	0	83	62	79	11	72	917	848	984	47	59	25	23	27	10	0	0.00%	7	1	85.71%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
11	Laval	4	0	2	0	0	1	1	0	8	21	-13	2	0	1	0	0	0	1	0	5	9	-4	2	0	1	0	0	1	0	0	3	12	-9	3	0.375	8	13	21	0	0	83	62	79	11	136	917	848	984	47	168	43	63	63	11	2	18.18%	27	7	74.07%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
12	Lehigh Valley	4	1	2	0	0	1	0	0	8	14	-6	2	1	0	0	0	1	0	0	7	5	2	2	0	2	0	0	0	0	0	1	9	-8	3	0.375	8	14	22	0	0	83	62	79	11	133	917	848	984	47	153	44	41	73	15	1	6.67%	17	6	64.71%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
13	Manitoba	3	1	1	0	1	0	0	0	12	9	3	2	1	1	0	0	0	0	0	8	6	2	1	0	0	0	1	0	0	0	4	3	1	4	0.667	12	22	34	0	0	83	62	79	11	117	917	848	984	47	89	24	39	52	12	3	25.00%	12	1	91.67%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
14	Ontario	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	5	10	15	0	0	83	62	79	11	40	917	848	984	47	73	23	18	31	6	0	0.00%	9	2	77.78%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
15	Providence	5	2	2	0	0	1	0	0	13	12	1	3	1	1	0	0	1	0	0	8	8	0	2	1	1	0	0	0	0	0	5	4	1	5	0.500	13	25	38	0	0	83	62	79	11	165	917	848	984	47	199	56	92	102	18	3	16.67%	31	5	83.87%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
16	Rochester	5	3	1	0	1	0	0	0	13	8	5	2	2	0	0	0	0	0	0	6	2	4	3	1	1	0	1	0	0	0	7	6	1	8	0.800	13	24	37	0	1	83	62	79	11	171	917	848	984	47	152	39	66	94	18	2	11.11%	26	1	96.15%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
17	Rockford	2	1	1	0	0	0	0	0	5	10	-5	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	8	-7	2	0.500	5	8	13	0	0	83	62	79	11	64	917	848	984	47	67	17	26	50	6	2	33.33%	8	1	87.50%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
18	San Diego	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	3	5	8	0	0	83	62	79	11	64	917	848	984	47	78	25	26	39	8	0	0.00%	13	2	84.62%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
19	San Jose	2	0	1	0	1	0	0	0	8	8	0	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	8	16	24	0	0	83	62	79	11	62	917	848	984	47	64	23	37	25	4	0	0.00%	10	0	100.00%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
20	Springfield	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	9	14	0	0	83	62	79	11	64	917	848	984	47	75	12	26	44	8	3	37.50%	13	5	61.54%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
21	Syracuse	4	2	1	0	0	1	0	0	9	9	0	2	1	1	0	0	0	0	0	3	3	0	2	1	0	0	0	1	0	0	6	6	0	5	0.625	9	15	24	0	0	83	62	79	11	136	917	848	984	47	126	26	29	71	9	0	0.00%	11	1	90.91%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
22	Texas	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	7	14	21	0	0	83	62	79	11	68	917	848	984	47	85	24	26	36	3	0	0.00%	11	3	72.73%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
23	Utica	6	5	0	0	1	0	0	0	22	14	8	4	3	0	0	1	0	0	0	14	9	5	2	2	0	0	0	0	0	0	8	5	3	12	1.000	22	40	62	0	0	83	62	79	11	192	917	848	984	47	226	57	76	117	16	4	25.00%	27	3	88.89%	1	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
24	Wilkes-Barre/Scranton	4	1	1	0	0	1	1	0	12	13	-1	2	0	1	0	0	1	0	0	3	7	-4	2	1	0	0	0	0	1	0	9	6	3	5	0.625	12	18	30	0	0	83	62	79	11	148	917	848	984	47	145	46	48	100	9	3	33.33%	24	3	87.50%	0	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
	Total	82	32	33	0	6	7	3	1	233	264	-31	41	14	17	0	4	3	2	1	119	126	-7	41	18	16	0	2	4	1	0	114	138	-24	90	0.549	233	421	654	0	2	83	62	79	11	2784	917	848	984	47	2886	826	1044	1520	301	51	16.94%	411	74	82.00%	2	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
	_Since Last GM Reset	82	32	33	0	6	7	3	1	233	264	-31	41	14	17	0	4	3	2	1	119	126	-7	41	18	16	0	2	4	1	0	114	138	-24	90	0.549	233	421	654	0	2	83	62	79	11	2784	917	848	984	47	2886	826	1044	1520	301	51	16.94%	411	74	82.00%	2	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
	_Vs Conference	57	24	22	0	3	6	2	0	153	179	-26	28	11	11	0	2	3	1	0	77	82	-5	29	13	11	0	1	3	1	0	76	97	-21	64	0.561	153	271	424	0	2	83	62	79	11	1910	917	848	984	47	2006	563	731	1067	200	31	15.50%	289	53	81.66%	1	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548
	_Vs Division	30	12	12	0	2	3	1	0	83	100	-17	15	5	6	0	2	2	0	0	42	48	-6	15	7	6	0	0	1	1	0	41	52	-11	33	0.550	83	149	232	0	1	83	62	79	11	989	917	848	984	47	1057	309	366	562	99	18	18.18%	147	29	80.27%	1	1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%	1949	1293	1931	642	1095	548

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	90	W1	233	421	654	2784	2886	826	1044	1520	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	32	33	6	7	3	1	233	264

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	17	4	3	2	1	119	126

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	16	2	4	1	0	114	138

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
301	51	16.94%	411	74	82.00%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
917	848	984	47	83	62	79	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1700	3139	54.16%	1733	3202	54.12%	728	1300	56.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1949	1293	1931	642	1095	548

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1	3	Utica	4	Cleveland	5	W	X		Box score
3	15	Cleveland	4	Hartford	5	L	X		Box score
6	26	Cleveland	1	Charlotte	5	L			Box score
9	39	Cleveland	3	Rochester	2	W	X		Box score
12	49	Providence	2	Cleveland	4	W			Box score
14	63	Utica	1	Cleveland	2	W			Box score
18	82	Cleveland	5	Wilkes-Barre/Scranton	4	W	X	X	Box score
19	88	Cleveland	6	Bridgeport	5	W			Box score
22	98	Bridgeport	3	Cleveland	2	L			Box score
23	107	Cleveland	0	Hartford	1	L			Box score
26	121	Charlotte	3	Cleveland	2	L			Box score
30	136	Grand Rapids	3	Cleveland	4	W			Box score
32	151	Cleveland	3	Rochester	4	L			Box score
35	168	Hartford	2	Cleveland	3	W	X		Box score
37	181	Cleveland	1	Providence	3	L			Box score
39	191	Bridgeport	3	Cleveland	2	L			Box score
42	210	Charlotte	3	Cleveland	2	L			Box score
46	227	Cleveland	1	Rochester	0	W			Box score
48	237	San Jose	4	Cleveland	5	W	X		Box score
50	246	Cleveland	2	Springfield	4	L			Box score
52	261	Bridgeport	7	Cleveland	4	L			Box score
55	269	Cleveland	4	Manitoba	3	W	X		Box score
57	284	Grand Rapids	3	Cleveland	5	W			Box score
61	304	Manitoba	5	Cleveland	4	L			Box score
63	316	Cleveland	2	San Diego	5	L			Box score
67	332	Ontario	1	Cleveland	3	W			Box score
69	345	Cleveland	5	Bakersfield	1	W			Box score
71	356	Rockford	2	Cleveland	4	W			Box score
73	366	Cleveland	1	Laval	9	L			Box score
75	380	Eagles	3	Cleveland	4	W	X		Box score
77	389	Cleveland	2	Laval	3	L	X		Box score
79	406	Laval	5	Cleveland	0	L			Box score
81	417	Cleveland	4	Coachella Valley	2	W			Box score
83	431	Laval	4	Cleveland	5	W	X	X	Box score
85	442	Cleveland	1	Rockford	8	L			Box score
87	455	Cleveland	4	Wilkes-Barre/Scranton	2	W			Box score
88	462	Coachella Valley	2	Cleveland	3	W	X	X	Box score
92	480	Iowa	4	Cleveland	1	L			Box score
94	491	Cleveland	3	Bridgeport	2	W			Box score
98	508	Manitoba	1	Cleveland	4	W			Box score
101	528	Springfield	5	Cleveland	3	L			Box score
103	539	Cleveland	2	Ontario	3	L			Box score
106	553	Hartford	2	Cleveland	4	W			Box score
109	571	Cleveland	4	Grand Rapids	3	W			Box score
110	579	Providence	4	Cleveland	3	L			Box score
112	597	Wilkes-Barre/Scranton	4	Cleveland	3	L	X		Box score
114	607	Cleveland	3	Eagles	2	W			Box score
116	617	Cleveland	4	Bridgeport	3	W			Box score
118	629	Syracuse	2	Cleveland	1	L			Box score
119	633	Cleveland	4	Syracuse	3	W			Box score
122	648	Cleveland	3	Iowa	1	W			Box score
123	658	Wilkes-Barre/Scranton	3	Cleveland	0	L			Box score
126	672	Cleveland	4	Texas	2	W			Box score
127	679	Cleveland	2	Syracuse	3	L	X		Box score
129	688	Hershey	4	Cleveland	1	L			Box score
132	703	Abbotsford	4	Cleveland	3	L	X	X	Box score
134	715	Cleveland	5	Abbotsford	6	L	X		Box score
136	727	Cleveland	1	Lehigh Valley	5	L			Box score
137	736	Texas	4	Cleveland	3	L			Box score
139	748	Cleveland	2	Hershey	6	L			Box score
141	761	Hershey	6	Cleveland	2	L			Box score
143	774	Cleveland	1	Hershey	7	L			Box score
146	785	Lehigh Valley	3	Cleveland	2	L	X		Box score
149	802	Cleveland	0	Lehigh Valley	4	L			Box score
151	809	San Diego	4	Cleveland	1	L			Box score
154	830	Bakersfield	5	Cleveland	4	L			Box score
156	840	Cleveland	2	Grand Rapids	1	W			Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
158	853	Cleveland	4	Providence	1	W			Box score
160	862	Syracuse	1	Cleveland	2	W			Box score
161	870	Cleveland	2	Hartford	0	W			Box score
164	885	Providence	2	Cleveland	1	L	X		Box score
168	906	Utica	2	Cleveland	4	W			Box score
172	925	Cleveland	1	Hartford	3	L			Box score
173	932	Utica	2	Cleveland	3	W			Box score
178	953	Rochester	1	Cleveland	3	W			Box score
181	969	Cleveland	3	Utica	2	W			Box score
184	978	Rochester	1	Cleveland	3	W			Box score
187	991	Cleveland	5	Utica	3	W			Box score
188	993	Cleveland	3	Charlotte	6	L			Box score
191	1006	Lehigh Valley	2	Cleveland	5	W			Box score
192	1012	Cleveland	3	San Jose	4	L			Box score
193	1019	Cleveland	4	Charlotte	2	W			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	25
Attendance	60,328	39,840
Attendance PCT	73.57%	97.17%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2443 - 81.44%	132,116$	5,416,739$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
4,515,058$	1,951,100$	1,951,100$	2,500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
10,006$	2,015,008$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	22,826$	0$

Cleveland Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	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

Cleveland Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Cleveland Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	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

Cleveland Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	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

Cleveland Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Cleveland
	GP: 82 \| W: 41 \| L: 33 \| OTL: 8 \| P: 90 GF: 233 \| GA: 264 \| PP%: 16.94% \| PK%: 82.00% GM : Dany Bourdeau \| Morale : 50 \| Team Overall : N/A