Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

Toronto
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Richard Gadbois | Morale : 50 | Moyenne d’équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRichard Gadbois
EntraîneurMarty Raymond
DivisionNord
ConférenceConference est
Capitaine
Assistant #1Nick Bonino
Assistant #2Valtteri Filppula


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure21
Limite contact 38 / 50
Espoirs12


Historique d'équipe

Saison actuelle0-0
Historique38-37-6 (0.469%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 TA SPÂgeContratSalaire moyen
1Jim O'BrienXX100.00652292607870896573626468755858285000322951,000$
2Nikolai ZherdevXX100.006833936175679067846368608397951750003521,240,000$
3Oscar MollerXX100.00662899757785806770696972758475255000323500,000$
4Rocco GrimaldiXX100.00731996766778816970667263825654545000281750,000$
5Valtteri Filppula (A)XXX100.00612391667580907280706863848783150003721,350,000$
6Jimmy VeseyXX100.00743175768782957370727265805545565000281675,000$
7David DesharnaisXX100.005725977166819271867271648876703450003421,200,000$
8Nick Bonino (A)XX100.00573692587578836885686467796490305000332850,000$
9Kyle OkposoX100.007034937378888773706573598562533750003321,203,000$
10Linus OmarkXX100.00602395617167847250646864757859265000342650,000$
11Luca SbisaX100.00684172808181955815852866270534150003121,000,000$
12Mark BorowieckiX100.00815543609174874850484987626360345000312800,000$
13Juuso RiikolaX100.00772985808782804851494483775349605000272650,000$
14Casey NelsonX100.00743482768182835150504487715555515000283500,000$
15Mark PysykX100.006234957580888658505261847858575950002931,000,500$
Rayé
MOYENNE D’ÉQUIPE100.0068318770787987646362637177686437500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 TA SPÂgeContratSalaire moyen
1David Rittich100.0071878891839596939393935959575000283500,000$
2Michal Neuvirth100.0065818287789397989882857978435000333500,000$
Rayé
MOYENNE D’ÉQUIPE100.006884858981949796968889696950500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marty Raymond72726974868769CAN592550,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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 GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Casey NelsonToronto (TOR)D281992-07-18No189 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
David DesharnaisToronto (TOR)C/LW341986-09-14No177 Lbs5 ft7NoNoNo2Pro & Farm1,200,000$0$0$No1,200,000$Lien
David RittichToronto (TOR)G281992-08-08 05:28:46No208 Lbs6 ft3NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Jim O'BrienToronto (TOR)C/RW321989-01-29No207 Lbs6 ft2NoNoNo2Pro & Farm951,000$0$0$No951,000$Lien
Jimmy VeseyToronto (TOR)LW/RW281993-05-26No210 Lbs6 ft3NoNoNo1Pro & Farm675,000$0$0$NoLien
Juuso RiikolaToronto (TOR)D271993-11-09No192 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Kyle OkposoToronto (TOR)RW331988-04-16No223 Lbs6 ft0NoNoNo2Pro & Farm1,203,000$0$0$No1,203,000$Lien
Linus OmarkToronto (TOR)LW/RW341987-02-05No191 Lbs5 ft10NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Luca SbisaToronto (TOR)D311990-01-01No218 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Mark BorowieckiToronto (TOR)D311989-07-12No209 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Mark PysykToronto (TOR)D291992-01-11No206 Lbs6 ft1NoNoNo3Pro & Farm1,000,500$0$0$No1,000,500$1,000,500$Lien
Michal NeuvirthToronto (TOR)G331988-01-21 14:34:09No230 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Nick BoninoToronto (TOR)C/LW331988-04-20No200 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Nikolai ZherdevToronto (TOR)LW/RW351985-11-05No211 Lbs6 ft2NoNoNo2Pro & Farm1,240,000$0$0$No1,240,000$
Oscar MollerToronto (TOR)LW/RW321989-01-22No195 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Rocco GrimaldiToronto (TOR)LW/RW281993-02-08No183 Lbs5 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien
Valtteri FilppulaToronto (TOR)C/LW/RW371984-03-20No189 Lbs6 ft0NoNoNo2Pro & Farm1,350,000$0$0$No1,350,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1731.35202 Lbs6 ft02.18842,324$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jimmy VeseyDavid DesharnaisValtteri Filppula40122
2Oscar MollerNick BoninoKyle Okposo30122
3Rocco GrimaldiJim O'BrienNikolai Zherdev20122
4Linus OmarkDavid DesharnaisJimmy Vesey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaMark Pysyk40122
2Casey NelsonMark Borowiecki30122
3Juuso RiikolaLinus Omark20122
4Luca SbisaMark Pysyk10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jimmy VeseyDavid DesharnaisValtteri Filppula60122
2Oscar MollerNick BoninoKyle Okposo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaMark Pysyk60122
2Casey NelsonMark Borowiecki40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David DesharnaisJimmy Vesey60122
2Valtteri FilppulaOscar Moller40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaMark Pysyk60122
2Casey NelsonMark Borowiecki40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1David Desharnais60122Luca SbisaMark Pysyk60122
2Jimmy Vesey40122Casey NelsonMark Borowiecki40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1David DesharnaisJimmy Vesey60122
2Valtteri FilppulaOscar Moller40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaMark Pysyk60122
2Casey NelsonMark Borowiecki40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jimmy VeseyDavid DesharnaisValtteri FilppulaLuca SbisaMark Pysyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jimmy VeseyDavid DesharnaisValtteri FilppulaLuca SbisaMark Pysyk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rocco Grimaldi, Nikolai Zherdev, Jim O'BrienRocco Grimaldi, Nikolai ZherdevJim O'Brien
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Juuso Riikola, Casey Nelson, Mark BorowieckiJuuso RiikolaCasey Nelson, Mark Borowiecki
Tirs de pénalité
David Desharnais, Jimmy Vesey, Valtteri Filppula, Oscar Moller, Kyle Okposo
Gardien
#1 : Michal Neuvirth, #2 : David Rittich


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,431,950$ 1,431,950$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Toronto Leaders statistiques (saison régulière)

# 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
1Mark Arcobello82263763-78559423411.11%10146917.93513186001101153.3300.8611
2Jake Evans58174259-9361231692377.17%12126521.82514196503332153.1400.9303
3Michael Chaput82243458-7204214021711.06%10137116.7249133700094154.7310.8512
4MacKenzie Entwistle82223456-18581671062518.76%14141117.2287157200004044.4400.7901
5Melker Karlsson71212950-111283952837.42%12147420.77610167310162150.2400.6825

Toronto Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Samuel Montembeault46162440.8983.5526738115815460130.50012
2Pavel Francouz35151620.8973.5419698111611300020.6679

Toronto Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
2082254503234249317-6841132600011117161-4441121903223132156-24682494416905272100719276492394186358288183882114993526117.33%3306779.70%51641310752.82%1539322347.75%690137550.18%1889127320076421070523
Total Saison régulière82323706700259262-3411915025001301151541132204200129147-1883259467726248886796260983388887117275581676113923436518.95%3275583.18%71646308953.29%1637311552.55%729132155.19%1952131419226271069539
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Toronto Leaders statistiques (séries éliminatoires)

# 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)

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