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TorontoToronto Toronto
35-24-15, 85pts · 4th in Conference Est

Toronto
GP: 74 | W: 35 | L: 24 | OTL: 15 | P: 85
GF: 111 | GA: 128 | PP%: 19.51% | PK%: 76.60%
DG: Nicolas Drapeau | Morale : 41 | Moyenne d’équipe : N/A
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Centre de jeu
Worchester
35-24-15, 85pts
2
FINAL
3 Toronto
35-24-15, 85pts
Team Stats
L1StreakW2
19-10-8Home Record19-9-9
16-14-7Away Record16-15-6
4-5-1Last 10 Games7-3-0
1.42Buts par match 1.50
1.49Buts contre par match 1.73
21.50%Pourcentage en avantage numérique19.51%
81.58%Pourcentage en désavantage numérique76.60%
Peroria
34-30-10, 78pts
1
FINAL
2 Toronto
35-24-15, 85pts
Team Stats
OTL1StreakW2
18-15-4Home Record19-9-9
16-15-6Away Record16-15-6
6-2-2Last 10 Games7-3-0
1.65Buts par match 1.50
1.80Buts contre par match 1.73
20.00%Pourcentage en avantage numérique19.51%
76.10%Pourcentage en désavantage numérique76.60%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
111
1.50 GFG
Tirs pour
922
12.46 Avg
Pourcentage en avantage numérique
19.5%
56 GF
Début de zone offensive
32.6%
Buts contre
128
1.73 GAA
Tirs contre
977
13.20 Avg
Pourcentage en désavantage numérique
76.6%%
77 GA
Début de la zone défensive
33.6%
Informations de l'équipe

Directeur généralNicolas Drapeau
EntraîneurBrock Sheahan
DivisionNord Est
ConférenceConference Est
CapitaineTrent Frederic
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro11
Équipe Mineure20
Limite contact 31 / 250
Espoirs52


Historique d'équipe

Saison actuelle35-24-15 (85PTS)
Historique0-0-0


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
1Mikael Pyyhtia (R)X100.00654199636364746432615577254545646800212897,500$
2Jackson Blake (R)X100.00705799715732304450384457424444506800203905,833$
3Isak Rosen (R)X100.00695893665880856450616362604444666800203894,167$
4Alex SteevesX100.00736787666779836650626664634444676800231834,167$
5Oliver WahlstromX100.00764491807858557037615765616263646800231874,125$
6Dominic ToninatoXX100.00824587767256706473725866256465665000292775,000$
7John Ludvig (R)X100.00879962737758636225455080254747616800232775,000$
8Wyatt Kaiser (R)X100.00694280716472716225564783254646626800212916,667$
9Ty Emberson (R)X100.00964793667176666425644882254646666800231775,000$
10Jake ChristiansenX100.00714394707161736125524767254545596800241775,000$
11Cole McWard (R)X100.00807590687561654825404163394444536800221922,500$
Rayé
MOYENNE D’ÉQUIPE100.0076568970686367613856527038484862660
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
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brock Sheahan60606060606060TUR802500,000$


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
Alex SteevesToronto (TOR)RW231999-12-10No185 Lbs5 ft11NoNoNo1Pro & Farm834,167$0$0$NoLien / Lien NHL
Cole McWardToronto (TOR)D222001-06-09Yes205 Lbs6 ft1NoNoNo1Pro & Farm922,500$0$0$NoLien
Dominic ToninatoToronto (TOR)C/LW291994-03-09No191 Lbs6 ft2NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien / Lien NHL
Isak RosenToronto (TOR)RW202003-03-15Yes156 Lbs5 ft11NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Jackson BlakeToronto (TOR)RW202003-08-03Yes158 Lbs5 ft10NoNoNo3Pro & Farm905,833$0$0$No905,833$905,833$Lien
Jake ChristiansenToronto (TOR)D241999-09-12No194 Lbs6 ft1NoNoNo1Pro & Farm775,000$0$0$NoLien
John LudvigToronto (TOR)D232000-02-08Yes200 Lbs6 ft1NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Mikael PyyhtiaToronto (TOR)C212001-12-17Yes174 Lbs5 ft11NoNoNo2Pro & Farm897,500$0$0$No897,500$Lien
Oliver WahlstromToronto (TOR)RW232000-06-13No211 Lbs6 ft2NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Ty EmbersonToronto (TOR)D232000-05-24Yes194 Lbs6 ft1NoNoNo1Pro & Farm775,000$0$0$NoLien
Wyatt KaiserToronto (TOR)D212002-07-31Yes172 Lbs6 ft0NoNoNo2Pro & Farm916,667$0$0$No916,667$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1122.64185 Lbs6 ft01.73849,542$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Albany2010010025-31010000013-21000010012-110.250246001531541221174321378833281671010110.00%16287.50%049491853.81%49994652.75%49395551.62%185113451778509887437
2Binghamton54000001853320000014312200000042290.90081624011531541260174321378836791693020315.00%22290.91%049491853.81%49994652.75%49395551.62%185113451778509887437
3Bridgeport3120000047-31010000025-32110000022020.33348120115315412291743213788334121831812433.33%14285.71%049491853.81%49994652.75%49395551.62%185113451778509887437
4Charlotte Checkers21000001321110000003121000000101-130.7503580015315412321743213788329714615500.00%8187.50%049491853.81%49994652.75%49395551.62%185113451778509887437
5Chicago2010010013-21000010012-11010000001-110.2501230015315412291743213788312953118112.50%4175.00%049491853.81%49994652.75%49395551.62%185113451778509887437
6Chicago Wolf21100000220110000001011010000012-120.5002460115315412281743213788325424126116.67%7185.71%049491853.81%49994652.75%49395551.62%185113451778509887437
7Grand Rapids20002000532100010001011000100043141.0005101501153154122817432137883267146109222.22%8362.50%049491853.81%49994652.75%49395551.62%185113451778509887437
8Hamilton4020110068-22010010046-22010100022030.375610160015315412551743213788348111172421419.05%16662.50%049491853.81%49994652.75%49395551.62%185113451778509887437
9Hartford2110000013-21010000003-31100000010120.500123011531541226174321378831352912900.00%7271.43%049491853.81%49994652.75%49395551.62%185113451778509887437
10Hersey2110000023-1110000002021010000003-320.50024601153154121617432137883317106117114.29%13376.92%049491853.81%49994652.75%49395551.62%185113451778509887437
11Hershey211000004401010000024-21100000020220.50047110115315412301743213788320478129111.11%9455.56%049491853.81%49994652.75%49395551.62%185113451778509887437
12Houston22000000413110000002021100000021141.000481201153154122917432137883156241210110.00%70100.00%049491853.81%49994652.75%49395551.62%185113451778509887437
13Iowa21000010422110000002111000001021141.0004590015315412351743213788320157796116.67%6266.67%049491853.81%49994652.75%49395551.62%185113451778509887437
14Lake Erie2020000028-61010000024-21010000004-400.000235001531541227174321378835411147109111.11%11554.55%049491853.81%49994652.75%49395551.62%185113451778509887437
15Lowell2020000004-41010000003-31010000001-100.0000000015315412181743213788322121748600.00%12191.67%049491853.81%49994652.75%49395551.62%185113451778509887437
16Manchester3010100158-3100010002112010000137-430.500510150015315412291743213788349191111110330.00%18666.67%049491853.81%49994652.75%49395551.62%185113451778509887437
17Manitoba2010000124-21000000123-11010000001-110.2502460015315412211743213788334735177114.29%10280.00%049491853.81%49994652.75%49395551.62%185113451778509887437
18Milwaukee22000000413110000001011100000031241.00048120115315412191743213788329102674125.00%8187.50%049491853.81%49994652.75%49395551.62%185113451778509887437
19Norfolk32100000523220000005141010000001-140.6675101501153154122817432137883491246179333.33%13192.31%049491853.81%49994652.75%49395551.62%185113451778509887437
20Peroria20001001330100010002111000000112-130.75036900153154122117432137883257711011218.18%13192.31%049491853.81%49994652.75%49395551.62%185113451778509887437
21Philadelphie22000000523110000003211100000020241.000510150115315412321743213788321822119333.33%6183.33%049491853.81%49994652.75%49395551.62%185113451778509887437
22Portland21001000532110000004311000100010141.00051015011531541231174321378833056476233.33%7185.71%149491853.81%49994652.75%49395551.62%185113451778509887437
23Providence42100001880210000013302110000055050.62581523001531541265174321378834117742424729.17%17570.59%049491853.81%49994652.75%49395551.62%185113451778509887437
24Quad City200011004401000010001-11000100043130.75048120015315412231743213788323738138225.00%9366.67%049491853.81%49994652.75%49395551.62%185113451778509887437
25Rochester4020001137-42010000113-22010001024-230.375347001531541256174321378834617167201317.69%11372.73%149491853.81%49994652.75%49395551.62%185113451778509887437
26Rochester21001000202100010001011100000010141.000246021531541222174321378832162574125.00%50100.00%049491853.81%49994652.75%49395551.62%185113451778509887437
27Rockford Icehogs20001001550100010003211000000123-130.750581300153154122817432137883261169710110.00%13376.92%049491853.81%49994652.75%49395551.62%185113451778509887437
28Springfield2020000037-41010000024-21010000013-200.000369001531541233174321378835717108139222.22%9633.33%049491853.81%49994652.75%49395551.62%185113451778509887437
29Syracuse2010010003-31000010001-11010000002-210.25000000153154121317432137883321113710100.00%11281.82%049491853.81%49994652.75%49395551.62%185113451778509887437
30Wilkes Barre2000020057-21000010034-11000010023-120.5005101500153154121417432137883341116055480.00%15566.67%049491853.81%49994652.75%49395551.62%185113451778509887437
31Worchester21100000440110000003211010000012-120.50048120015315412241743213788312748810220.00%4250.00%049491853.81%49994652.75%49395551.62%185113451778509887437
Total74242409728111128-1737149055046266-4371015042244962-13850.574111209320014153154129221743213788397729928413912875619.51%3297776.60%249491853.81%49994652.75%49395551.62%185113451778509887437
_Since Last GM Reset74242409728111128-1737149055046266-4371015042244962-13850.574111209320014153154129221743213788397729928413912875619.51%3297776.60%249491853.81%49994652.75%49395551.62%185113451778509887437
_Vs Conference411515025135667-112177013033142-1120880121025250440.5375610616209153154125131743213788348514514882211653420.61%1743679.31%149491853.81%49994652.75%49395551.62%185113451778509887437
_Vs Division1765011132135-14832001031125-149330101010100200.5882141620415315412183174321378832087195086611321.31%901978.89%049491853.81%49994652.75%49395551.62%185113451778509887437

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7485W21112093209229772992841391014
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7424249728111128
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3714955046266
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37101542244962
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2875619.51%3297776.60%2
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
1743213788315315412
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
49491853.81%49994652.75%49395551.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
185113451778509887437


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
1 - 2024-09-307Toronto1Manchester4ALSommaire du match
3 - 2024-10-0220Binghamton0Toronto1BWSommaire du match
4 - 2024-10-0335Toronto2Rochester1AWXXSommaire du match
6 - 2024-10-0549Norfolk0Toronto3BWSommaire du match
8 - 2024-10-0771Toronto3Providence4ALSommaire du match
9 - 2024-10-0884Providence2Toronto1BLXXSommaire du match
11 - 2024-10-1099Toronto0Hersey3ALSommaire du match
13 - 2024-10-12118Rochester2Toronto1BLXXSommaire du match
14 - 2024-10-13129Toronto2Binghamton1AWSommaire du match
16 - 2024-10-15144Portland3Toronto4BWSommaire du match
18 - 2024-10-17167Hamilton4Toronto3BLSommaire du match
19 - 2024-10-18175Toronto0Bridgeport2ALSommaire du match
22 - 2024-10-21201Binghamton2Toronto1BLXXSommaire du match
23 - 2024-10-22213Toronto0Lake Erie4ALSommaire du match
25 - 2024-10-24232Toronto0Manitoba1ALSommaire du match
27 - 2024-10-26244Manitoba3Toronto2BLXXSommaire du match
28 - 2024-10-27261Toronto1Chicago Wolf2ALSommaire du match
30 - 2024-10-29278Toronto2Wilkes Barre3ALXSommaire du match
32 - 2024-10-31292Wilkes Barre4Toronto3BLXSommaire du match
34 - 2024-11-02308Houston0Toronto2BWSommaire du match
36 - 2024-11-04329Hamilton2Toronto1BLXSommaire du match
38 - 2024-11-06345Toronto4Grand Rapids3AWXSommaire du match
40 - 2024-11-08360Hartford3Toronto0BLSommaire du match
43 - 2024-11-11383Toronto0Syracuse2ALSommaire du match
44 - 2024-11-12395Toronto1Peroria2ALXXSommaire du match
46 - 2024-11-14408Providence1Toronto2BWSommaire du match
48 - 2024-11-16431Quad City1Toronto0BLXSommaire du match
50 - 2024-11-18442Toronto1Springfield3ALSommaire du match
51 - 2024-11-19459Toronto2Binghamton1AWSommaire du match
53 - 2024-11-21472Chicago Wolf0Toronto1BWSommaire du match
55 - 2024-11-23492Charlotte Checkers1Toronto3BWSommaire du match
57 - 2024-11-25507Toronto0Norfolk1ALSommaire du match
58 - 2024-11-26526Philadelphie2Toronto3BWSommaire du match
60 - 2024-11-28541Toronto2Manchester3ALXXSommaire du match
61 - 2024-11-29555Iowa1Toronto2BWSommaire du match
63 - 2024-12-01570Toronto2Philadelphie0AWSommaire du match
64 - 2024-12-02586Hersey0Toronto2BWSommaire du match
66 - 2024-12-04601Toronto4Quad City3AWXSommaire du match
68 - 2024-12-06619Toronto2Iowa1AWXXSommaire du match
69 - 2024-12-07632Albany3Toronto1BLSommaire du match
71 - 2024-12-09650Toronto1Albany2ALXSommaire du match
73 - 2024-12-11663Milwaukee0Toronto1BWSommaire du match
74 - 2024-12-12680Toronto1Rochester0AWSommaire du match
76 - 2024-12-14694Bridgeport5Toronto2BLSommaire du match
78 - 2024-12-16717Lowell3Toronto0BLSommaire du match
79 - 2024-12-17731Toronto1Worchester2ALSommaire du match
81 - 2024-12-19744Toronto0Charlotte Checkers1ALXXSommaire du match
82 - 2024-12-20759Norfolk1Toronto2BWSommaire du match
84 - 2024-12-22777Toronto2Hamilton1AWXSommaire du match
86 - 2024-12-24793Springfield4Toronto2BLSommaire du match
88 - 2024-12-26806Toronto0Rochester3ALSommaire du match
89 - 2024-12-27823Lake Erie4Toronto2BLSommaire du match
91 - 2024-12-29837Toronto1Portland0AWXSommaire du match
93 - 2024-12-31856Grand Rapids0Toronto1BWXSommaire du match
94 - 2025-01-01875Syracuse1Toronto0BLXSommaire du match
97 - 2025-01-04898Toronto2Houston1AWSommaire du match
98 - 2025-01-05908Rockford Icehogs2Toronto3BWXSommaire du match
101 - 2025-01-08933Chicago2Toronto1BLXSommaire du match
102 - 2025-01-09947Toronto3Milwaukee1AWSommaire du match
104 - 2025-01-11963Binghamton1Toronto2BWSommaire du match
106 - 2025-01-13983Toronto0Chicago1ALSommaire du match
107 - 2025-01-14996Toronto2Rockford Icehogs3ALXXSommaire du match
108 - 2025-01-151005Toronto1Hartford0AWSommaire du match
109 - 2025-01-161014Hershey4Toronto2BLSommaire du match
112 - 2025-01-191038Manchester1Toronto2BWXSommaire du match
114 - 2025-01-211055Toronto2Hershey0AWSommaire du match
115 - 2025-01-221063Toronto0Hamilton1ALSommaire du match
117 - 2025-01-241078Rochester0Toronto1BWXSommaire du match
118 - 2025-01-251089Toronto2Bridgeport0AWSommaire du match
119 - 2025-01-261099Toronto2Providence1AWSommaire du match
121 - 2025-01-281116Rochester1Toronto0BLSommaire du match
123 - 2025-01-301126Toronto0Lowell1ALSommaire du match
126 - 2025-02-021149Worchester2Toronto3BWSommaire du match
130 - 2025-02-061172Peroria1Toronto2BWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
13,499,833$ 9,344,959$ 9,344,959$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 13,499,833$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 70,795$ 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

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

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

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