Toronto

DG: Jean-François Langlais Morale : 7 Moyenne d'Équipe : 57
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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 SP
1Thomas Vanek (A)XX100.00583586777471937235727157536959018680
2Evander KaneX100.00765064757181676857627371475444032660
3Jeff Skinner (C)X100.00553585796874956837637364445142027660
4Sam GagnerXXX100.00534384726970766482636565555848018630
5Chris StewartXX100.00636668708266786338606558535849032620
6Ryan WhiteX100.00695666726964785485466264485146015600
7David ClarksonXX100.00685065697161545235455855456455025560
8Andrew EbbettXX100.00443592755150365245535161475448018540
9Greg McKeggXX100.00523591696355364773355870483936034540
10Sebastien Aho (R) (A)XXX100.00454545455145454545454545453230049450
11Pavel Buchnevich (R)XX100.00434343435443434343434343433230016430
12Ondrej Kase (R)X99.00373737374837373737373737373230044390
13Andrej MeszarosX100.00604379667566675235495469476555023620
14Brendan SmithX100.00745073666971824835494772454843020620
15Lubomir VisnovskyX100.00473588786167595435555265477161018610
16Trevor van RiemsdykX100.00594386676169664635464576563535028590
17Justin FalkX100.00634378607760414250453969485045021570
18Corey PotterX100.00563595636855353135303265485247024530
Rayé
1John MitchellXX100.00614379707171885983566272455648038630
2Nathan GerbeXX100.00553586735168725546525868535447020590
3Tyler KennedyXX100.00563587745763605651585459456558020590
4Rob KlinkhammerXX100.00673585657558464842425463564642020550
5Brandon BolligXX100.00766658667657674471424654484946020540
6Drayson BowmanX100.00493588696749414756464958474842023520
7Nathan HortonX100.00395762678133623335333368476457020500
8Philippe CornetX100.00329030346733423335333333473532020370
9Max SauveXX100.00329030335033333335333333473532020360
10Adam PardyX100.00643579607867494535513972485447014590
11Colby RobakX100.00513587606458353635393368474238020520
MOYENNE D'ÉQUIPE99.9755467264665858494748506048504502455
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 SP
1Ryan Miller99.0079839761797876788076897062032740
Rayé
1Andrew Hammond100.0070459383716973716594944137012670
2Petr Mrazek69.397358906772657070608177423906650
MOYENNE D'ÉQUIPE89.337462937074717373688487514601769
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle68636176999978CAN602500,000$


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'ÉquipePOS 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 GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Evander KaneTorontoLW74204565-911440183112270007.41%12138318.70523288331811291382243.40%10600000.9404116545
2Jeff SkinnerTorontoLW82223153-2322060111230009.57%13150418.34716237835200021474030.17%23200010.7014000331
3Sam GagnerTorontoC/LW/RW72212344-260231001580013.29%16118116.418614452381127961049.91%57900000.7423000322
4Chris StewartTorontoLW/RW82151328-710345106861100013.64%11110513.49123811500021211127.96%9300000.5123215124
5Andrej MeszarosTorontoD7171926-23595705477009.09%77155421.904610423040112254100.00%000000.3300001002
6Thomas VanekTorontoLW/RW44101525-141402845107009.35%476917.485813361810001630135.44%15800000.6501000001
7Brendan SmithTorontoD7922022-9146201956147004.26%95170521.592911222710001268000.00%000000.2600012000
8Adam PardyTorontoD7261521-3688014947470012.77%84138519.24279242190001227000.00%000000.3000000111
9Andrew EbbettTorontoC/LW6510919-1600268570017.54%374511.4710151800011210135.73%62700000.5102000003
10Trevor van RiemsdykTorontoD8261117-32580806965009.23%90138916.951121278000093100.00%000000.2402000000
11Justin FalkTorontoD794913-20126012735350011.43%68121015.330225580001143000.00%500000.2100000010
12Lubomir VisnovskyTorontoD474913-153203032320012.50%4986018.30235151270003150010.00%000000.3000000000
13Ryan WhiteTorontoRW645611-117830575075006.67%35869.16000216000000049.06%5300000.3802024010
14Greg McKeggTorontoC/LW373811-1440116466004.55%1160516.362462110300031030041.78%68700000.3600000010
15David ClarksonTorontoLW/RW746410-2141156937510011.76%26779.16202332000022128.50%20000000.3000012101
16John MitchellTorontoC/LW62549-9120267555009.09%105438.764044370000530051.46%51500000.3312000011
17Sebastien AhoTorontoC/LW/RW26224-7135252460033.33%142116.221123860000351032.70%41900000.1900001001
18Rob KlinkhammerTorontoLW/RW41213-20120272021009.52%63638.8700004000000142.15%12100000.1700000000
19Corey PotterTorontoD43112-15200301911009.09%2959113.750113640000800020.41%4900000.0700000001
20Drayson BowmanTorontoLW40011-214032528000.00%840610.170003150000130041.27%12600000.0502000000
21Ondrej KaseTorontoRW32000-1014012153000.00%141813.080000750000320034.78%9200000.0000000000
22Pavel BuchnevichTorontoLW/RW26000-132553212000.00%041315.900000780000550032.26%3100000.0000000000
Stats d'équipe Total ou en Moyenne1294151246397-347991165134511501553009.72%5931982315.324789136414279823533220213840.02%409300010.406253621141623
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
1Ryan MillerToronto58262060.8992.6433132214614470100.769265028612
2Petr MrazekToronto60163260.8713.8729944019315010500.579195422411
3Andrew HammondToronto3051530.8783.46150900877160310.600152534001
Stats d'équipe Total ou en Moyenne1484767150.8843.2778166242636640910.66760129841024


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam PardyTorontoD311984-03-29No227 Lbs6 ft4NoNo1Sans RestrictionPro & Farm849,000$Lien
Andrej MeszarosTorontoD291985-10-13No223 Lbs6 ft2NoNo1Avec RestrictionPro & Farm2,200,000$Lien
Andrew EbbettTorontoC/LW321983-01-02No174 Lbs5 ft9YesNo3Sans RestrictionPro & Farm500,000$500,000$500,000$Lien
Andrew HammondTorontoG271988-02-11No220 Lbs6 ft1NoNo2Avec RestrictionPro & Farm720,000$720,000$Lien
Brandon BolligTorontoLW/RW281987-01-31No220 Lbs6 ft2NoNo0Avec RestrictionPro & FarmLien
Brendan SmithTorontoD261989-02-08No211 Lbs6 ft2NoNo6Avec RestrictionPro & Farm2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$Lien
Chris StewartTorontoLW/RW271987-10-30No231 Lbs6 ft2NoNo1Avec RestrictionPro & Farm3,300,000$Lien
Colby RobakTorontoD251990-04-24No194 Lbs6 ft3NoNo0Avec RestrictionPro & FarmLien
Corey PotterTorontoD311984-01-05No204 Lbs6 ft3NoNo2Sans RestrictionPro & Farm535,000$535,000$Lien
David ClarksonTorontoLW/RW311984-03-31No207 Lbs6 ft0NoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$Lien
Drayson BowmanTorontoLW261989-03-08No195 Lbs6 ft1NoNo1Avec RestrictionPro & Farm650,000$Lien
Evander KaneTorontoLW241991-08-02No204 Lbs6 ft2NoNo2Avec RestrictionPro & Farm3,750,000$3,750,000$Lien
Greg McKeggTorontoC/LW231992-06-17No191 Lbs6 ft0NoNo2Avec RestrictionPro & Farm690,000$690,000$Lien
Jeff SkinnerTorontoLW231992-05-16No200 Lbs5 ft11NoNo4Avec RestrictionPro & Farm4,800,000$4,800,000$4,800,000$4,800,000$Lien
John MitchellTorontoC/LW301985-01-22No204 Lbs6 ft1NoNo1Sans RestrictionPro & Farm1,000,000$Lien
Justin FalkTorontoD261988-10-11No224 Lbs6 ft5NoNo2Avec RestrictionPro & Farm750,000$750,000$Lien
Lubomir VisnovskyTorontoD391976-08-11No192 Lbs5 ft10NoNo1Sans RestrictionPro & Farm2,700,000$Lien
Max SauveTorontoC/LW251990-01-30No170 Lbs6 ft0NoNo0Avec RestrictionPro & FarmLien
Nathan GerbeTorontoLW/RW281987-07-24No178 Lbs5 ft5NoNo0Avec RestrictionPro & FarmLien
Nathan HortonTorontoRW301985-05-29No229 Lbs6 ft2NoNo0Sans RestrictionPro & FarmLien
Ondrej KaseTorontoRW191995-11-08Yes165 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm645,000$645,000$645,000$645,000$Lien
Pavel BuchnevichTorontoLW/RW201995-04-17Yes176 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Petr MrazekTorontoG231992-02-14No183 Lbs6 ft2NoNo2Avec RestrictionPro & Farm605,000$605,000$Lien
Philippe CornetTorontoLW251990-03-28No196 Lbs6 ft0NoNo0Avec RestrictionPro & FarmLien
Rob KlinkhammerTorontoLW/RW291986-08-12No214 Lbs6 ft3YesNo2Avec RestrictionPro & Farm500,000$500,000$Lien
Ryan MillerTorontoG351980-07-17No168 Lbs6 ft2YesNo2Sans RestrictionPro & Farm8,000,000$8,000,000$Lien
Ryan WhiteTorontoRW271988-03-17No200 Lbs6 ft0NoNo2Avec RestrictionPro & Farm500,000$500,000$Lien
Sam GagnerTorontoC/LW/RW261989-08-10No202 Lbs5 ft11YesNo6Avec RestrictionPro & Farm1,900,000$1,900,000$1,900,000$1,900,000$1,900,000$1,900,000$Lien
Sebastien AhoTorontoC/LW/RW171997-11-26Yes172 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Thomas VanekTorontoLW/RW311984-01-19No214 Lbs6 ft2YesNo5Sans RestrictionPro & Farm6,200,000$6,200,000$6,200,000$6,200,000$6,200,000$Lien
Trevor van RiemsdykTorontoD241991-07-24No188 Lbs6 ft2NoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$Lien
Tyler KennedyTorontoLW/RW291986-07-15No185 Lbs5 ft11NoNo0Avec RestrictionPro & FarmLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3227.06199 Lbs6 ft12.031,476,375$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,244,000$36,545,000$18,495,000$17,070,000$10,100,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jeff SkinnerSam GagnerPavel Buchnevich30005
2Evander KaneSebastien AhoThomas Vanek30104
3Chris StewartAndrew EbbettOndrej Kase30122
4Greg McKeggDavid ClarksonRyan White10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brendan SmithAndrej Meszaros40122
2Corey PotterLubomir Visnovsky30122
3Trevor van RiemsdykJustin Falk20122
4Trevor van RiemsdykBrendan Smith10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jeff SkinnerSam GagnerPavel Buchnevich60104
2Evander KaneSebastien AhoThomas Vanek40104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brendan SmithAndrej Meszaros60104
2Corey PotterOndrej Kase40104
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ondrej KaseAndrew Ebbett60122
2Greg McKeggPavel Buchnevich40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brendan SmithAndrej Meszaros60122
2Corey PotterLubomir Visnovsky40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Corey Potter60122Brendan SmithAndrej Meszaros60122
2Andrew Ebbett40122Corey PotterLubomir Visnovsky40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sam GagnerAndrew Ebbett60122
2Thomas VanekChris Stewart40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brendan SmithAndrej Meszaros60122
2Corey PotterLubomir Visnovsky40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evander KaneSam GagnerThomas VanekBrendan SmithJeff Skinner
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evander KaneSam GagnerThomas VanekBrendan SmithAndrej Meszaros
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Clarkson, Sebastien Aho, Ondrej KaseDavid Clarkson, Sebastien AhoThomas Vanek
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trevor van Riemsdyk, Justin Falk, Corey PotterTrevor van RiemsdykJustin Falk, Corey Potter
Tirs de Pénalité
Jeff Skinner, Andrew Ebbett, Sam Gagner, Chris Stewart, Ryan White
Gardien
#1 : , #2 : Ryan Miller


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
LigueDomicileVisiteur
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
Anaheim2110000078-1110000005231010000026-420.5007101700043044816200642331301218.33%13376.92%11176258345.53%1192277043.03%602133745.03%422852152412
Atlanta3110000189-1110000004222010000147-330.500813210031417126162859017386219315.79%14471.43%01176258345.53%1192277043.03%602133745.03%674478223818
Boston41300000813-52020000048-42110000045-120.250814221033209631323301212970751915.26%23482.61%01176258345.53%1192277043.03%602133745.03%906099325023
Buffalo505000001020-102020000058-330300000512-700.0001014240023501002736370156425010522313.64%24579.17%01176258345.53%1192277043.03%602133745.03%10266133396429
Calgary211000008711010000034-11100000053220.500814220023306113262207015355016425.00%14471.43%01176258345.53%1192277043.03%602133745.03%453150142311
Philadelphie3120000067-1211000005411010000013-220.333611170023106526192008621595318211.11%22195.45%01176258345.53%1192277043.03%602133745.03%644077233818
Chicago2020000019-81010000016-51010000003-300.00012300010035121310062202140900.00%6266.67%01176258345.53%1192277043.03%602133745.03%382454152613
Colorado2000010179-21000000134-11000010045-120.500713200012415412132935419422913323.08%12283.33%01176258345.53%1192277043.03%602133745.03%473152162612
Kansas City20200000211-91010000007-71010000024-200.000246000110401511140802526399222.22%13469.23%01176258345.53%1192277043.03%602133745.03%422753152311
Detroit403000011021-1120200000615-92010000146-210.125101525002532118424432610843615926415.38%18855.56%01176258345.53%1192277043.03%602133745.03%8960104305024
Edmonton2010000157-21000000134-11010000023-110.25059140003208119382256313204016425.00%9188.89%01176258345.53%1192277043.03%602133745.03%523746142512
Islanders30200010813-51000001043120200000410-620.3338111900322177302916610134369410110.00%18383.33%01176258345.53%1192277043.03%602133745.03%624084233717
LA Kings20200000212-101010000017-61010000015-400.0002350001104081616077152533800.00%9277.78%01176258345.53%1192277043.03%602133745.03%402655152411
Minnesota20100001412-81000000134-11010000018-710.250471100202057131527460933428225.00%14471.43%11176258345.53%1192277043.03%602133745.03%463152152512
Hartford3210000015871010000034-122000000124840.6671527420064508230232909727245222522.73%10460.00%01176258345.53%1192277043.03%602133745.03%694872213818
Ottawa41300000814-62020000017-62110000077020.25081624004040101303140010122578220315.00%21290.48%01176258345.53%1192277043.03%602133745.03%896098315124
Pittsburgh31200000880211000006511010000023-120.333813210060209436243409020255916425.00%10370.00%01176258345.53%1192277043.03%602133745.03%734968223819
Rangers3020000137-42020000025-31000000112-110.1673580002116025171657127486018211.11%19384.21%01176258345.53%1192277043.03%602133745.03%684376254020
San Jose21100000871110000006331010000024-220.50081523004220602716170492318338337.50%8362.50%01176258345.53%1192277043.03%602133745.03%473345132613
St-Louis20200000512-71010000035-21010000027-500.00059140022104118121108424273710220.00%11190.91%01176258345.53%1192277043.03%602133745.03%342260142510
Tampa Bay41300000613-72110000035-22020000038-520.250691500213092302438010537476719210.53%21385.71%01176258345.53%1192277043.03%602133745.03%8556105334923
Vancouver2010000146-21000000123-11010000023-110.250471100112035991375312244312216.67%12191.67%01176258345.53%1192277043.03%602133745.03%422755182712
Quebec522000011822-4311000011315-22110000057-250.5001832500065721405251376141396410119421.05%27774.07%01176258345.53%1192277043.03%602133745.03%11174130386329
Winnipeg2010100078-11010000046-21000100032120.500711180011416125171816021244311218.18%10550.00%01176258345.53%1192277043.03%602133745.03%453048162713
Nashville2100010012111110000009721000010034-130.7501219310062406021231515719463915533.33%11190.91%01176258345.53%1192277043.03%602133745.03%513544152613
Montreal40400000412-82020000025-32020000027-500.00048120012107825312201063662822414.17%25388.00%01176258345.53%1192277043.03%602133745.03%8049108335123
Washington330000001367220000009451100000042261.0001323360082308837222908025505716425.00%15193.33%01176258345.53%1192277043.03%602133745.03%664374233919
Caroline32100000862110000004312110000043140.667814220034107220312108827306719526.32%13192.31%01176258345.53%1192277043.03%602133745.03%704670223819
Las Vegas20100010910-1100000105411010000046-220.50091322004131471317155701852467228.57%18383.33%01176258345.53%1192277043.03%602133745.03%442954142511
Vs Division305230000264115-5115212000013463-2915311000013052-22120.20064108172102019254725237249239128382484115711491812.08%1593279.87%01176258345.53%1192277043.03%602133745.03%649428780239380178
Vs Conference54153400014133179-4627817000117193-2227717000036286-24360.333133225358105137447133446743043228154144672110752874415.33%2805281.43%01176258345.53%1192277043.03%602133745.03%11927841382425690332
Since Last GM Reset82195001228214308-9441112300025119159-40418270120395149-54540.32921436157510746176102050680672681542444702114516194417617.23%4408880.00%21176258345.53%1192277043.03%602133745.03%1815120221116411049503
Total82195001228214308-9441112300025119159-40418270120395149-54540.32921436157510746176102050680672681542444702114516194417617.23%4408880.00%21176258345.53%1192277043.03%602133745.03%1815120221116411049503

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8254W1214361575205024447021145161910
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8219501228214308
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4111230025119159
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41827120395149
Derniers 10 Matchs
WLOTWOTL SOWSOL
350002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4417617.23%4408880.00%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
6806726815474617610
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
1176258345.53%1192277043.03%602133745.03%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1815120221116411049503


Derniers Match 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 - 2016-10-121Toronto6Ottawa4WSommaire du Match
4 - 2016-10-1518Boston4Toronto3LSommaire du Match
8 - 2016-10-1950Toronto3Winnipeg2WXSommaire du Match
9 - 2016-10-2057Toronto1Minnesota8LSommaire du Match
11 - 2016-10-2269Toronto0Chicago3LSommaire du Match
14 - 2016-10-2587Tampa Bay3Toronto0LSommaire du Match
16 - 2016-10-27101Quebec6Toronto4LSommaire du Match
18 - 2016-10-29122Toronto1Montreal2LSommaire du Match
19 - 2016-10-30126Toronto2Islanders5LSommaire du Match
21 - 2016-11-01142Edmonton4Toronto3LXXSommaire du Match
23 - 2016-11-03149Toronto2Buffalo4LSommaire du Match
25 - 2016-11-05163Vancouver3Toronto2LXXSommaire du Match
28 - 2016-11-08188LA Kings7Toronto1LSommaire du Match
31 - 2016-11-11207Philadelphie2Toronto1LSommaire du Match
32 - 2016-11-12221Toronto2Pittsburgh3LSommaire du Match
35 - 2016-11-15239Las Vegas4Toronto5WXXSommaire du Match
37 - 2016-11-17245Quebec2Toronto3WSommaire du Match
39 - 2016-11-19269Toronto1Montreal5LSommaire du Match
42 - 2016-11-22286Caroline3Toronto4WSommaire du Match
43 - 2016-11-23289Toronto8Hartford3WSommaire du Match
46 - 2016-11-26313Washington1Toronto4WSommaire du Match
49 - 2016-11-29338Toronto2Edmonton3LSommaire du Match
50 - 2016-11-30344Toronto5Calgary3WSommaire du Match
53 - 2016-12-03362Toronto2Vancouver3LSommaire du Match
57 - 2016-12-07391Minnesota4Toronto3LXXSommaire du Match
60 - 2016-12-10419Toronto1Boston3LSommaire du Match
61 - 2016-12-11425Colorado4Toronto3LXXSommaire du Match
63 - 2016-12-13431San Jose3Toronto6WSommaire du Match
65 - 2016-12-15447Nashville7Toronto9WSommaire du Match
67 - 2016-12-17462Pittsburgh1Toronto5WSommaire du Match
69 - 2016-12-19478Anaheim2Toronto5WSommaire du Match
72 - 2016-12-22503Toronto4Colorado5LXSommaire du Match
73 - 2016-12-23507Toronto3Nashville4LXSommaire du Match
78 - 2016-12-28527Toronto1Quebec5LSommaire du Match
79 - 2016-12-29535Toronto2Tampa Bay3LSommaire du Match
82 - 2017-01-01559Detroit5Toronto3LSommaire du Match
84 - 2017-01-03566Toronto4Washington2WSommaire du Match
87 - 2017-01-06586Toronto4Hartford1WSommaire du Match
88 - 2017-01-07591Montreal3Toronto1LSommaire du Match
94 - 2017-01-13633Toronto1Rangers2LXXSommaire du Match
95 - 2017-01-14643Toronto1Ottawa3LSommaire du Match
98 - 2017-01-17665Buffalo4Toronto2LSommaire du Match
100 - 2017-01-19679Rangers3Toronto1LSommaire du Match
102 - 2017-01-21692Ottawa3Toronto0LSommaire du Match
104 - 2017-01-23713Calgary4Toronto3LSommaire du Match
106 - 2017-01-25724Toronto3Detroit4LSommaire du Match
107 - 2017-01-26728Toronto1Philadelphie3LSommaire du Match
112 - 2017-01-31741Toronto2Kansas City4LSommaire du Match
114 - 2017-02-02761Toronto2St-Louis7LSommaire du Match
116 - 2017-02-04774Toronto3Boston2WSommaire du Match
118 - 2017-02-06789Toronto2Islanders5LSommaire du Match
119 - 2017-02-07794Kansas City7Toronto0LSommaire du Match
121 - 2017-02-09812St-Louis5Toronto3LSommaire du Match
123 - 2017-02-11821Buffalo4Toronto3LSommaire du Match
126 - 2017-02-14838Islanders3Toronto4WXXSommaire du Match
127 - 2017-02-15843Toronto2Atlanta4LSommaire du Match
130 - 2017-02-18860Ottawa4Toronto1LSommaire du Match
131 - 2017-02-19872Toronto1Caroline2LSommaire du Match
133 - 2017-02-21885Winnipeg6Toronto4LSommaire du Match
135 - 2017-02-23894Rangers2Toronto1LSommaire du Match
137 - 2017-02-25908Montreal2Toronto1LSommaire du Match
140 - 2017-02-28924Toronto2San Jose4LSommaire du Match
142 - 2017-03-02944Toronto1LA Kings5LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2017-03-03947Toronto2Anaheim6LSommaire du Match
147 - 2017-03-07975Detroit10Toronto3LSommaire du Match
149 - 2017-03-09992Philadelphie2Toronto4WSommaire du Match
151 - 2017-03-111006Toronto3Caroline1WSommaire du Match
154 - 2017-03-141025Toronto4Quebec2WSommaire du Match
156 - 2017-03-161045Toronto1Tampa Bay5LSommaire du Match
158 - 2017-03-181055Chicago6Toronto1LSommaire du Match
160 - 2017-03-201070Boston4Toronto1LSommaire du Match
162 - 2017-03-221088Toronto2Atlanta3LXXSommaire du Match
163 - 2017-03-231091Hartford4Toronto3LSommaire du Match
165 - 2017-03-251106Toronto1Buffalo4LSommaire du Match
168 - 2017-03-281131Quebec7Toronto6LXXSommaire du Match
170 - 2017-03-301142Toronto4Las Vegas6LSommaire du Match
172 - 2017-04-011159Toronto1Detroit2LXXSommaire du Match
174 - 2017-04-031176Toronto2Buffalo4LSommaire du Match
175 - 2017-04-041190Washington3Toronto5WSommaire du Match
177 - 2017-04-061201Tampa Bay2Toronto3WSommaire du Match
179 - 2017-04-081211Pittsburgh4Toronto1LSommaire du Match
180 - 2017-04-091222Atlanta2Toronto4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets125603520250
Assistance2382182030548200016375241000
Attendance PCT96.84%99.05%100.00%99.85%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17757 - 98.65% 1,423,306$58,355,530$18000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
47,244,000$ 47,244,000$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
50,133,481$ 261,017$ 49,630,705$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 263,779$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 51,003,161$ 88,385,992$ 88,385,992$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Thomas VanekAGE:31PO:0OV:68
Evander KaneAGE:24PO:0OV:66
Jeff SkinnerAGE:23PO:0OV:66
John MitchellAGE:30PO:0OV:63
Sam GagnerAGE:26PO:0OV:63
Chris StewartAGE:27PO:0OV:62
Nathan GerbeAGE:28PO:0OV:59
Tyler KennedyAGE:29PO:0OV:59
David ClarksonAGE:31PO:0OV:56
Rob KlinkhammerAGE:29PO:0OV:55
Andrew EbbettAGE:32PO:0OV:54
Brandon BolligAGE:28PO:0OV:54
Greg McKeggAGE:23PO:0OV:54
Drayson BowmanAGE:26PO:0OV:52
Marek HrivikAGE:24PO:0OV:52
Tim SestitoAGE:31PO:0OV:51
Cole SchneiderAGE:25PO:0OV:48
John McCarthyAGE:29PO:0OV:48
*John McFarlandAGE:23PO:0OV:47
*Sebastien AhoAGE:17PO:0OV:45
*Erik FoleyAGE:18PO:0OV:44
Lane MacDermidAGE:26PO:0OV:43
*Pavel BuchnevichAGE:20PO:0OV:43
Vladimir ZharkovAGE:27PO:0OV:40
Philippe CornetAGE:25PO:0OV:37
Max SauveAGE:25PO:0OV:36
John MitchellAGE:30PO:0OV:63
Sam GagnerAGE:26PO:0OV:63
Andrew EbbettAGE:32PO:0OV:54
Greg McKeggAGE:23PO:0OV:54
Marek HrivikAGE:24PO:0OV:52
Tim SestitoAGE:31PO:0OV:51
*Ryan DonatoAGE:19PO:0OV:45
*Sebastien AhoAGE:17PO:0OV:45
*Brent Gates Jr.AGE:18PO:0OV:44
*Daniel AudetteAGE:19PO:0OV:39
Max SauveAGE:25PO:0OV:36
Thomas VanekAGE:31PO:0OV:68
Sam GagnerAGE:26PO:0OV:63
Chris StewartAGE:27PO:0OV:62
Ryan WhiteAGE:27PO:0OV:60
Nathan GerbeAGE:28PO:0OV:59
Tyler KennedyAGE:29PO:0OV:59
David ClarksonAGE:31PO:0OV:56
Rob KlinkhammerAGE:29PO:0OV:55
Brandon BolligAGE:28PO:0OV:54
Marek HrivikAGE:24PO:0OV:52
Nathan HortonAGE:30PO:0OV:50
Stu BickelAGE:29PO:0OV:50
Cole SchneiderAGE:25PO:0OV:48
*John McFarlandAGE:23PO:0OV:47
*Sebastien AhoAGE:17PO:0OV:45
*Pavel BuchnevichAGE:20PO:0OV:43
Vladimir ZharkovAGE:27PO:0OV:40
*Ondrej KaseAGE:19PO:0OV:39

Défense #1Défense #2Gardien
Andrej MeszarosAGE:29PO:0OV:62
Brendan SmithAGE:26PO:0OV:62
Lubomir VisnovskyAGE:39PO:0OV:61
Adam PardyAGE:31PO:0OV:59
Trevor van RiemsdykAGE:24PO:0OV:59
Justin FalkAGE:26PO:0OV:57
Corey PotterAGE:31PO:0OV:53
Colby RobakAGE:25PO:0OV:52
Joe PiskulaAGE:31PO:0OV:51
Stu BickelAGE:29PO:0OV:50
*Ahtti OksanenAGE:22PO:0OV:46
*Andrew NielsenAGE:18PO:0OV:44
*Sergey ZborovskiyAGE:18PO:0OV:44
*Brandon HickeyAGE:19PO:0OV:43
Colby CohenAGE:26PO:0OV:39
*Gustav ForslingAGE:19PO:0OV:39
Ryan MillerAGE:35PO:0OV:74
Andrew HammondAGE:27PO:0OV:67
Petr MrazekAGE:23PO:0OV:65
Yann DanisAGE:34PO:0OV:48
Leland IrvingAGE:27PO:0OV:45

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Connor IngramToronto2016137
Filip HronekToronto201664
Hudson ElynuikToronto201694
Jake BeanToronto201615
Jakob ChychrunToronto201617
Kieffer BellowsToronto201616
Sam SteelToronto201634
Taylor RaddyshToronto201659

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017Tor Tor Mon Tor
2018Isl Tor Tor Isl Tor Tor Tor
2019Tor Tor Tor Tor Tor Tor Tor
2020Tor Tor Tor Tor Tor Tor Tor
2021Tor Tor Tor Tor Tor Tor Tor



[2016-09-14 06:53:52] - Brandon Dubinsky was added to Toronto.
[2016-09-14 06:53:52] - Evander Kane was added to Toronto.
[2016-09-14 06:53:53] - TRADE : From Buffalo to Toronto : Brandon Dubinsky (71), Evander Kane (66).
[2016-09-14 06:53:53] - TRADE : From Toronto to Buffalo : Matthew Tkachuk (P), Y:2017-RND:3-Tor.
[2016-09-16 21:18:33] - Stu Bickel was added to Toronto.
[2016-09-16 21:18:33] - TRADE : From Toronto to Washington : 1 $ (Money).
[2016-09-16 21:18:33] - TRADE : From Washington to Toronto : Stu Bickel (50).
[2016-09-21 21:47:11] - Andrew Ebbett was added to Toronto.
[2016-09-21 21:49:03] - Rob Klinkhammer was added to Toronto.
[2016-09-21 21:49:17] - Tim Sestito was added to Toronto.
[2016-09-21 21:49:26] - Vladimir Zharkov was added to Toronto.
[2016-10-12 20:00:14] - New Record for Team's Most Assists (12) in 1 Game for Toronto!
[2016-11-19 11:29:35] - Brendan Smith was added to Toronto.
[2016-11-19 11:29:35] - Marek Hrivik was added to Toronto.
[2016-11-19 11:29:35] - Cole Schneider was added to Toronto.
[2016-11-19 11:29:38] - TRADE : From Toronto to Kansas City : Dustin Brown (66).
[2016-11-19 11:29:38] - TRADE : From Kansas City to Toronto : Brendan Smith (63), Marek Hrivik (52), Cole Schneider (48).
[2016-11-22 20:00:19] - Unknown Player is no longer as assistant for Toronto.
[2016-11-22 20:00:19] - Jeff Skinner has been selected as assistant for Toronto.
[2016-11-23 20:00:22] - New Record for Team's Most Goals (8) in 1 Game for Toronto!
[2016-11-23 20:00:22] - New Record for Team's Most Assists (15) in 1 Game for Toronto!
[2016-11-23 20:00:22] - New Record for Team's Most Points (23) in 1 Game for Toronto!
[2016-12-15 20:00:20] - New Record for Team's Most Goals (9) in 1 Game for Toronto!
[2017-01-17 06:32:15] - General Manager Change : Toronto fired general manager Martin Ferland
[2017-01-17 06:32:15] - General Manager Change : Toronto hired general manager Martin Ferland
[2017-01-17 06:32:36] - General Manager Change : Toronto fired general manager Martin Ferland
[2017-01-17 06:32:36] - General Manager Change : Toronto hired general manager Jean-François Langlais
[2017-01-25 20:10:53] - Gustav Forsling was added to Toronto.
[2017-01-25 20:10:53] - Ondrej Kase was added to Toronto.
[2017-01-25 20:10:54] - TRADE : From Kansas City to Toronto : Gustav Forsling (39), Ondrej Kase (39).
[2017-01-25 20:10:54] - TRADE : From Toronto to Kansas City : Brandon Dubinsky (71).
[2017-01-28 08:48:42] - TRADE : From Toronto to St-Louis : Jarret Stoll (64), Y:2017-RND:7-Min.
[2017-01-28 08:48:42] - TRADE : From St-Louis to Toronto : Y:2017-RND:4-Stl.
[2017-02-02 20:56:50] - Sebastien Aho was added to Toronto.
[2017-02-02 20:56:51] - TRADE : From Islanders to Toronto : Sebastien Aho (45), Kieffer Bellows (P), Y:2018-RND:1-Isl, Y:2018-RND:3-Isl.
[2017-02-02 20:56:51] - TRADE : From Toronto to Islanders : Blake Wheeler (72).
[2017-02-06 20:00:19] - New Record for Team's Most Hits (36) in 1 Game for Toronto!
[2017-02-07 20:13:26] - John Mitchell was added to Toronto.
[2017-02-07 20:13:27] - TRADE : From Montreal to Toronto : John Mitchell (64), Connor Ingram (P), Taylor Raddysh (P).
[2017-02-07 20:13:27] - TRADE : From Toronto to Montreal : Tyler Bozak (68), Y:2017-RND:4-Stl.
[2017-02-19 10:16:48] - Pavel Buchnevich was added to Toronto.
[2017-02-19 10:16:49] - TRADE : From Washington to Toronto : Pavel Buchnevich (43), Jake Bean (P), Jakob Chychrun (P).
[2017-02-19 10:16:49] - TRADE : From Toronto to Washington : Brent Burns (74), Y:2018-RND:3-Tor.
[2017-02-20 20:00:17] - Toronto show interest in Ryan Miller from waiver.
[2017-02-20 20:00:18] - Toronto claimed Ryan Miller from waivers by Caroline for 0 $.
[2017-02-20 20:00:18] - Ryan Miller was added to Toronto.
[2017-03-03 20:00:19] - Unknown Player is no longer captain for Toronto.
[2017-03-03 20:00:19] - Jeff Skinner has been selected as captain for Toronto.
[2017-03-03 20:00:19] - Unknown Player is no longer as assistant for Toronto.
[2017-03-03 20:00:19] - Thomas Vanek has been selected as assistant for Toronto.
[2017-03-03 20:00:19] - Jeff Skinner is no longer as assistant for Toronto.
[2017-03-03 20:00:19] - Sebastien Aho has been selected as assistant for Toronto.



Brandon Bollig est suspendu indéfiniement.
Colby Robak est suspendu indéfiniement.
Nathan Gerbe est suspendu indéfiniement.
Max Sauve est suspendu indéfiniement.
Nathan Horton est suspendu indéfiniement.
Philippe Cornet est suspendu indéfiniement.
Tyler Kennedy est suspendu indéfiniement.



LigueDomicileVisiteur
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
201682195001228214308-9441112300025119159-40418270120395149-543821436157510746176102050680672681542444702114516194417617.23%4408880.00%21176258345.53%1192277043.03%602133745.03%1815120221116411049503
Total Saison Régulière82195001228214308-9441112300025119159-40418270120395149-543821436157510746176102050680672681542444702114516194417617.23%4408880.00%21176258345.53%1192277043.03%602133745.03%1815120221116411049503