Washington

DG: David Arseneault Morale : 29 Moyenne d'Équipe : 60
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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
1Jarome Iginla (C)X98.00585683827374956964667256538877019690
2Tyler EnnisXX100.00574383774478597042716959525346038640
3Elias LindholmXX100.00613588756573946383646265474636050640
4Mikhail GrigorenkoXXX100.00553592717368715879595667484338048610
5Peter HollandXX100.00605084737066756080586163634440037610
6Reid BoucherXX100.00563590766563466235586661534136049600
7Linden VeyXX100.00513589736163495676555661534337026570
8Ty RattieX100.00523587745458386035536661484036049570
9Andreas AthanasiouXXX100.00524390726650405141435865563532028540
10Michael McCarronXX100.00645057648453374550424856483532040510
11Mikko RantanenXXX100.00523588687450353557353561483532050480
12Brent Burns (A)X100.00734379787986957235756978647060024740
13Johnny Boychuk (A)X100.00715085687779885935595887486459044700
14Jamie OleksiakX100.00775077609962394135433964484238038570
15Christian FolinX100.00644385617166434435464171484136045570
16Shea TheodoreX100.00503592666457374135384374483532066550
17Michael Matheson (R)X100.00503579646255353135303271483532064520
Rayé
1Nick FolignoXXX100.00745678757276917584777265426051046700
2Alexander SeminX100.00553579687369506136606258536758019600
3Andrew Copp (R)X100.00583593696058645077465467483532029560
4Byron FroeseX74.39543587676854464481424672483532030530
5Alexey MarchenkoX91.66604390646968644835494774484237030600
MOYENNE D'ÉQUIPE98.3259418470696559545353556651474104060
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
1Craig Anderson100.007676956778807580857783665909740
2Jonas Hiller100.0056579170565757565673805952017600
Rayé
MOYENNE D'ÉQUIPE100.006667936967696668717582635601367
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Vigneault97959099999996CAN552500,000$


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
1Brent BurnsWashingtonD82245175-1110951631181750013.71%115202724.722019391213710001329230.00%000010.7423000533
2Johnny BoychukWashingtonD82144761-1311020102116180007.78%116198524.21816241133670001316010.00%100000.6100300024
3Tyler EnnisWashingtonLW/RW77154156-630095124203007.39%3132917.2742226713110111822429.01%13100100.8412000264
4Nick FolignoWashingtonC/LW/RW80242751-6129351651051990012.06%6136717.099817603430001634051.79%81100000.7501133540
5Reid BoucherWashingtonLW/RW82193150-632066102202009.41%8127215.52313165726601141292136.21%11600000.7901000043
6Mikhail GrigorenkoWashingtonC/LW/RW82202444-8220621331510013.25%20151318.46108184930610152322148.71%119700000.5811000323
7Elias LindholmWashingtonC/RW75172542-17400861141540011.04%8117015.6077143922700041174050.00%115400000.7200000322
8Jarome IginlaWashingtonRW52192241-5683052621270014.96%094418.1691019382200000621247.52%10100000.8704213030
9Alexey MarchenkoWashingtonD7543337-5360527674005.41%85167422.3211011372970001261100.00%000000.4400000011
10Christian FolinWashingtonD8271522-101182012251500014.00%82152418.59426272360000195200.00%000000.2900103101
11Linden VeyWashingtonC/RW497121921201944460015.22%04579.341346280000111150.97%15500000.8311000101
12Ty RattieWashingtonRW8210919-301404272850011.76%687410.670000220000121029.82%5700000.4301000040
13Alexander SeminWashingtonRW6671118-12360555175009.33%976111.54011451000081027.78%5400000.4711000101
14Andrew CoppWashingtonC6261117-82004780510011.76%667110.830004230000381048.03%76200000.5100000101
15Andreas AthanasiouWashingtonC/LW/RW647613-7801835600011.67%373211.4401181000002770025.29%8700000.3602000110
16Byron FroeseWashingtonC757613-1518036101420016.67%1279910.6600012320231571051.31%80300000.3300000110
17Michael MathesonWashingtonD5011011-12220241716006.25%5570414.09000010000088000.00%000000.3100000011
18Jamie OleksiakWashingtonD781910-14138101622225004.00%74133617.1303371210111136000.00%000000.1500101000
19Peter HollandWashingtonC/LW53426-139152444270014.81%14418.340001100000120152.63%32300000.2701030000
20Shea TheodoreWashingtonD17022-740894000.00%1125615.0900001000019000.00%000000.1600000000
21Michael McCarronWashingtonC/RW25011-2431535818000.00%12469.8600000000090040.26%7700000.0800012000
22Mikko RantanenWashingtonC/LW/RW22011-1401093000.00%130213.740000630110350042.86%2100000.0700000000
Stats d'équipe Total ou en Moyenne1412213396609-19410521501445149319670010.83%6222239415.86761231996433409347242400251448.36%585000110.546188812243425
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
1Craig AndersonWashington69293220.8823.3834788219616550100.864226416632
2Jonas HillerWashington3701900.8593.90144800946670100.00001864000
Stats d'équipe Total ou en Moyenne106295120.8753.5349278229023220200.864228280632


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
Alexander SeminWashingtonRW311984-03-03No211 Lbs6 ft2NoNo4Sans RestrictionPro & Farm3,600,000$3,300,000$2,500,000$2,000,000$Lien
Alexey MarchenkoWashingtonD231992-01-02No210 Lbs6 ft3NoNo2Avec RestrictionPro & Farm625,000$625,000$Lien
Andreas AthanasiouWashingtonC/LW/RW211994-08-06No192 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm667,000$667,000$667,000$667,000$Lien
Andrew CoppWashingtonC211994-07-08Yes188 Lbs6 ft0NoNo3Contrat d'EntréePro & Farm925,000$925,000$925,000$Lien
Brent BurnsWashingtonD301985-03-09No230 Lbs6 ft5NoNo6Sans RestrictionPro & Farm5,900,000$5,900,000$5,900,000$5,900,000$5,900,000$5,900,000$Lien
Byron FroeseWashingtonC241991-03-12No199 Lbs6 ft0YesNo3Avec RestrictionPro & Farm1,250,000$1,250,000$1,250,000$Lien
Christian FolinWashingtonD241991-02-09No214 Lbs6 ft3NoNo2Avec RestrictionPro & Farm925,000$925,000$Lien
Craig AndersonWashingtonG341981-05-21No184 Lbs6 ft2YesNo5Sans RestrictionPro & Farm8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$Lien
Elias LindholmWashingtonC/RW201994-12-02No192 Lbs6 ft1NoNo2Contrat d'EntréePro & Farm925,000$925,000$Lien
Jamie OleksiakWashingtonD221992-12-21No260 Lbs6 ft7NoNo1Avec RestrictionPro & Farm925,000$Lien
Jarome Iginla (Contrat à 1 Volet)WashingtonRW381977-07-01No210 Lbs6 ft1YesNo3Sans RestrictionPro & Farm6,000,000$4,500,000$3,500,000$Lien
Johnny BoychukWashingtonD311984-01-19No227 Lbs6 ft2YesNo5Sans RestrictionPro & Farm6,200,000$6,200,000$6,200,000$6,200,000$6,200,000$Lien
Jonas HillerWashingtonG331982-02-12No191 Lbs6 ft2NoNo2Sans RestrictionPro & Farm3,000,000$3,000,000$Lien
Linden VeyWashingtonC/RW241991-07-17No189 Lbs6 ft0NoNo2Avec RestrictionPro & Farm790,000$790,000$Lien
Michael MathesonWashingtonD211994-02-27Yes192 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Michael McCarronWashingtonC/RW201995-03-07No231 Lbs6 ft6NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Mikhail GrigorenkoWashingtonC/LW/RW211994-05-16No209 Lbs6 ft3NoNo1Contrat d'EntréePro & Farm925,000$Lien
Mikko RantanenWashingtonC/LW/RW181996-10-29No211 Lbs6 ft4NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Nick FolignoWashingtonC/LW/RW271987-10-31No210 Lbs6 ft0NoNo6Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$3,500,000$3,500,000$3,500,000$Lien
Peter HollandWashingtonC/LW241991-01-14No201 Lbs6 ft2NoNo2Avec RestrictionPro & Farm1,100,000$1,100,000$Lien
Reid BoucherWashingtonLW/RW221993-09-08No195 Lbs5 ft10NoNo2Avec RestrictionPro & Farm642,000$642,000$Lien
Shea TheodoreWashingtonD201995-08-03No195 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Ty RattieWashingtonRW221993-02-05No178 Lbs6 ft0NoNo2Avec RestrictionPro & Farm743,000$743,000$Lien
Tyler EnnisWashingtonLW/RW251989-10-06No160 Lbs5 ft9NoNo3Avec RestrictionPro & Farm3,000,000$3,375,000$3,900,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2424.83203 Lbs6 ft23.172,222,583$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
53,342,000$50,067,000$40,042,000$29,967,000$23,600,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tyler EnnisJarome Iginla40122
2Mikhail GrigorenkoElias LindholmReid Boucher30122
3Andreas AthanasiouPeter HollandTy Rattie20122
4Mikko RantanenMichael McCarronLinden Vey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brent BurnsJohnny Boychuk40122
2Michael MathesonChristian Folin30122
3Jamie OleksiakShea Theodore20122
4Brent BurnsJohnny Boychuk10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tyler EnnisJarome Iginla60122
2Mikhail GrigorenkoElias LindholmReid Boucher40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brent BurnsJohnny Boychuk60122
2Shea TheodoreChristian Folin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jarome Iginla60122
2Mikhail GrigorenkoElias Lindholm40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brent BurnsJohnny Boychuk60122
2Michael MathesonChristian Folin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Peter Holland60122Brent BurnsJohnny Boychuk60122
2Elias Lindholm40122Shea TheodoreChristian Folin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Linden VeyJarome Iginla60122
2Mikhail GrigorenkoElias Lindholm40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brent BurnsJohnny Boychuk60122
2Shea TheodoreChristian Folin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tyler EnnisJarome IginlaBrent BurnsJohnny Boychuk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tyler EnnisJarome IginlaBrent BurnsJohnny Boychuk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Peter Holland, Ty RattieAndreas Athanasiou, Peter HollandTy Rattie
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jamie Oleksiak, Michael Matheson, Johnny BoychukJamie OleksiakShea Theodore, Jamie Oleksiak
Tirs de Pénalité
, Jarome Iginla, Tyler Ennis, Elias Lindholm, Mikhail Grigorenko
Gardien
#1 : Craig Anderson, #2 : Jonas Hiller


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
Anaheim2020000059-41010000014-31010000045-100.000510150021206325152306616353713215.38%14378.57%01269263048.25%1259272946.13%646132448.79%442951152411
Atlanta532000001417-332100000111012110000037-460.6001424380064401253038570126294010824312.50%20290.00%01269263048.25%1259272946.13%646132448.79%11073125386430
Boston30200001611-52010000146-21010000025-310.16761016002130772431206802728601516.67%13192.31%01269263048.25%1259272946.13%646132448.79%664478253918
Buffalo3010001157-22010000125-31000001032130.5005813001031621626189722128501600.00%13469.23%01269263048.25%1259272946.13%646132448.79%684479234220
Calgary211000007701010000035-21100000042220.500713200043007728282104813143220630.00%7357.14%01269263048.25%1259272946.13%646132448.79%513542162613
Philadelphie422000001113-22020000027-52200000096340.50011203100452010344451408935426029827.59%20385.00%01269263048.25%1259272946.13%646132448.79%8656101325225
Chicago2010001089-11010000046-21000001043120.500813210041226723172748113373311218.18%15473.33%01269263048.25%1259272946.13%646132448.79%432955172611
Colorado2020000039-61010000023-11010000016-500.0003580010204211151606012453710110.00%9455.56%01269263048.25%1259272946.13%646132448.79%382454162612
Kansas City211000007701010000035-21100000042220.500713200014204514171404520274510110.00%10190.00%11269263048.25%1259272946.13%646132448.79%453149152512
Detroit3020100069-32010100057-21010000012-120.333610160023016624241358524565311218.18%17382.35%01269263048.25%1259272946.13%646132448.79%674476234019
Edmonton21100000761110000004221010000034-120.500712190011505419201503914225013430.77%11281.82%01269263048.25%1259272946.13%646132448.79%452947152713
Islanders523000001516-12020000049-532100000117440.4001526410056401373944540171337011328310.71%24579.17%01269263048.25%1259272946.13%646132448.79%10871126386532
LA Kings211000003211010000012-11100000020220.50036901021039111414054163736900.00%110100.00%01269263048.25%1259272946.13%646132448.79%402551172813
Minnesota211000008711010000035-21100000052320.50081220005210511619160601628476233.33%14378.57%11269263048.25%1259272946.13%646132448.79%412754152411
Hartford4210100015123220000008352010100079-260.750152540013471113394032212238456234617.65%19573.68%01269263048.25%1259272946.13%646132448.79%956495304925
Ottawa30300000915-61010000034-120200000611-500.000916250005407622292507932375319210.53%16568.75%11269263048.25%1259272946.13%646132448.79%724868233818
Pittsburgh40400000715-82020000037-42020000048-400.000711180014206815302301143950721915.26%24866.67%01269263048.25%1259272946.13%646132448.79%8253104325224
Rangers413000001214-2211000007522020000059-420.250121931003540103274432010226485822418.18%16475.00%01269263048.25%1259272946.13%646132448.79%926394325225
San Jose2010001045-11010000013-21000001032120.5004610000122441115183602035359222.22%10190.00%01269263048.25%1259272946.13%646132448.79%422854172712
St-Louis2010001057-21010000025-31000001032120.500581300202133101112574171644600.00%70100.00%01269263048.25%1259272946.13%646132448.79%392658162612
Tampa Bay30300000715-81010000025-320200000510-500.00071219001240821931320882047412129.52%21480.95%01269263048.25%1259272946.13%646132448.79%634178243818
Toronto30300000613-71010000024-22020000049-500.00061016001140802131280882039421516.67%16475.00%01269263048.25%1259272946.13%646132448.79%745066233919
Vancouver220000001156110000007341100000042241.0001121320036204812201607919412911545.45%18383.33%01269263048.25%1259272946.13%646132448.79%382458152311
Quebec31200000811-32110000067-11010000024-220.33381422000530742029250863349571000.00%21576.19%01269263048.25%1259272946.13%646132448.79%644276223819
Winnipeg2110000010821010000067-11100000041320.5001015250043306123201804611273610330.00%11190.91%01269263048.25%1259272946.13%646132448.79%473145152612
Nashville20200000510-51010000015-41010000045-100.000581300203050152780761718355120.00%40100.00%01269263048.25%1259272946.13%646132448.79%463248152411
Montreal303000001116-51010000035-220200000811-300.0001121320018207929302009636515012216.67%23673.91%01269263048.25%1259272946.13%646132448.79%634079233717
Caroline4310000017125220000009452110000088060.75017294600584088263626011028518525624.00%22481.82%01269263048.25%1259272946.13%646132448.79%8149104335427
Las Vegas2110000057-21010000015-41100000042220.50051015000320531315250409163711327.27%8275.00%01269263048.25%1259272946.13%646132448.79%543639132614
Vs Division301316010009199-81578000004445-11568010004754-7280.4679115424501273627173722027723828342283465581813117.13%1453178.62%01269263048.25%1259272946.13%646132448.79%657432752238390190
Vs Conference54143502012149196-4727816010027188-17276190101078108-30360.33314925540401356150313333955084192215084416819643004113.67%2856377.89%11269263048.25%1259272946.13%646132448.79%11987891356428705341
Since Last GM Reset82235102042237294-5741102801002110148-3841132301040127146-19600.3662374076440264887982060626761662342336654107914974447316.44%4349079.26%31269263048.25%1259272946.13%646132448.79%1818120120666511069516
Total82235102042237294-5741102801002110148-3841132301040127146-19600.3662374076440264887982060626761662342336654107914974447316.44%4349079.26%31269263048.25%1259272946.13%646132448.79%1818120120666511069516

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8260W1237407644206023366541079149702
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8223512042237294
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4110281002110148
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4113231040127146
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4447316.44%4349079.26%3
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
626761662346488798
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
1269263048.25%1259272946.13%646132448.79%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1818120120666511069516


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
2 - 2016-10-1312Washington2Pittsburgh4LSommaire du Match
4 - 2016-10-1523Islanders5Washington4LSommaire du Match
7 - 2016-10-1840Colorado3Washington2LSommaire du Match
9 - 2016-10-2056Washington2Quebec4LSommaire du Match
11 - 2016-10-2268Rangers1Washington5WSommaire du Match
15 - 2016-10-2695Washington3Edmonton4LSommaire du Match
18 - 2016-10-29119Washington4Vancouver2WSommaire du Match
19 - 2016-10-30130Washington4Calgary2WSommaire du Match
21 - 2016-11-01134Washington4Winnipeg1WSommaire du Match
23 - 2016-11-03152Winnipeg7Washington6LSommaire du Match
25 - 2016-11-05168Quebec4Washington2LSommaire du Match
28 - 2016-11-08187San Jose3Washington1LSommaire du Match
31 - 2016-11-11209Washington4Chicago3WXXSommaire du Match
32 - 2016-11-12222Washington3Caroline2WSommaire du Match
35 - 2016-11-15237Washington1Atlanta6LSommaire du Match
36 - 2016-11-16243Pittsburgh3Washington2LSommaire du Match
38 - 2016-11-18256Detroit6Washington3LSommaire du Match
40 - 2016-11-20271Atlanta6Washington3LSommaire du Match
43 - 2016-11-23291St-Louis5Washington2LSommaire du Match
45 - 2016-11-25302Buffalo3Washington2LXXSommaire du Match
46 - 2016-11-26313Washington1Toronto4LSommaire du Match
51 - 2016-12-01348Islanders4Washington0LSommaire du Match
53 - 2016-12-03359Washington3Tampa Bay4LSommaire du Match
55 - 2016-12-05380Buffalo2Washington0LSommaire du Match
57 - 2016-12-07392Boston3Washington2LXXSommaire du Match
59 - 2016-12-09405Washington3Buffalo2WXXSommaire du Match
61 - 2016-12-11423Vancouver3Washington7WSommaire du Match
63 - 2016-12-13438Washington4Islanders1WSommaire du Match
66 - 2016-12-16455Washington5Caroline6LSommaire du Match
67 - 2016-12-17465Montreal5Washington3LSommaire du Match
71 - 2016-12-21493Washington5Philadelphie3WSommaire du Match
73 - 2016-12-23512Tampa Bay5Washington2LSommaire du Match
77 - 2016-12-27518Washington3Islanders4LSommaire du Match
79 - 2016-12-29533Hartford0Washington3WSommaire du Match
81 - 2016-12-31553Washington5Hartford4WXSommaire du Match
82 - 2017-01-01560Ottawa4Washington3LSommaire du Match
84 - 2017-01-03566Toronto4Washington2LSommaire du Match
86 - 2017-01-05579Atlanta2Washington5WSommaire du Match
88 - 2017-01-07592Washington3Ottawa5LSommaire du Match
90 - 2017-01-09610Washington3Montreal4LSommaire du Match
92 - 2017-01-11622Pittsburgh4Washington1LSommaire du Match
94 - 2017-01-13634Chicago6Washington4LSommaire du Match
96 - 2017-01-15655Philadelphie2Washington1LSommaire du Match
97 - 2017-01-16661Washington2Pittsburgh4LSommaire du Match
100 - 2017-01-19680Washington3St-Louis2WXXSommaire du Match
102 - 2017-01-21696Washington4Kansas City2WSommaire du Match
104 - 2017-01-23712Caroline1Washington5WSommaire du Match
105 - 2017-01-24719Washington3Ottawa6LSommaire du Match
107 - 2017-01-26739Washington2Hartford5LSommaire du Match
112 - 2017-01-31746Washington4Islanders2WSommaire du Match
113 - 2017-02-01755Boston3Washington2LSommaire du Match
116 - 2017-02-04771Washington5Montreal7LSommaire du Match
117 - 2017-02-05784LA Kings2Washington1LSommaire du Match
119 - 2017-02-07793Caroline3Washington4WSommaire du Match
121 - 2017-02-09810Detroit1Washington2WXSommaire du Match
123 - 2017-02-11824Anaheim4Washington1LSommaire du Match
130 - 2017-02-18859Washington1Detroit2LSommaire du Match
131 - 2017-02-19877Washington1Rangers4LSommaire du Match
134 - 2017-02-22892Washington4Philadelphie3WSommaire du Match
136 - 2017-02-24900Edmonton2Washington4WSommaire du Match
137 - 2017-02-25907Washington4Las Vegas2WSommaire du Match
140 - 2017-02-28927Washington4Rangers5LSommaire du Match
142 - 2017-03-02939Hartford3Washington5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04957Philadelphie5Washington1LSommaire du Match
146 - 2017-03-06969Kansas City5Washington3LSommaire du Match
149 - 2017-03-09990Washington3San Jose2WXXSommaire du Match
151 - 2017-03-111001Washington2LA Kings0WSommaire du Match
152 - 2017-03-121014Washington4Anaheim5LSommaire du Match
154 - 2017-03-141030Minnesota5Washington3LSommaire du Match
156 - 2017-03-161041Las Vegas5Washington1LSommaire du Match
158 - 2017-03-181057Washington2Tampa Bay6LSommaire du Match
161 - 2017-03-211078Calgary5Washington3LSommaire du Match
163 - 2017-03-231090Atlanta2Washington3WSommaire du Match
165 - 2017-03-251111Nashville5Washington1LSommaire du Match
168 - 2017-03-281133Washington5Minnesota2WSommaire du Match
169 - 2017-03-291139Washington1Colorado6LSommaire du Match
171 - 2017-03-311156Washington4Nashville5LSommaire du Match
173 - 2017-04-021169Washington2Atlanta1WSommaire du Match
175 - 2017-04-041190Washington3Toronto5LSommaire du Match
176 - 2017-04-051193Rangers4Washington2LSommaire du Match
179 - 2017-04-081209Washington2Boston5LSommaire du Match
180 - 2017-04-091226Quebec3Washington4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000250040001000
Prix des Billets120804025210
Assistance24384416194210053816345041000
Attendance PCT99.12%79.00%98.09%99.66%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17336 - 93.71% 1,437,425$58,934,410$18500100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
52,642,000$ 51,213,666$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
50,841,643$ 290,840$ 50,338,868$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 293,602$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 56,289,423$ 87,263,892$ 87,263,892$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Nick FolignoAGE:27PO:0OV:70
Tyler EnnisAGE:25PO:0OV:64
Mikhail GrigorenkoAGE:21PO:0OV:61
Peter HollandAGE:24PO:0OV:61
Reid BoucherAGE:22PO:0OV:60
Andreas AthanasiouAGE:21PO:0OV:54
Michael BournivalAGE:23PO:0OV:53
Kevin PorterAGE:29PO:0OV:51
*Emile PoirierAGE:20PO:0OV:51
Sean CollinsAGE:31PO:0OV:51
*Charles HudonAGE:21PO:0OV:50
Ryan CraigAGE:33PO:0OV:48
Mikko RantanenAGE:18PO:0OV:48
*Adam ErneAGE:20PO:0OV:46
Matt LindbladAGE:25PO:0OV:46
*Zachary SanfordAGE:20PO:0OV:44
David UllstromAGE:26PO:0OV:43
Colton GilliesAGE:26PO:0OV:41
Simon MoserAGE:26PO:0OV:40
Evgeny DadonovAGE:26PO:0OV:39
Justin DiBenedettoAGE:27PO:0OV:37
Joonas RaskAGE:25PO:0OV:36
Nick FolignoAGE:27PO:0OV:70
Elias LindholmAGE:20PO:0OV:64
Dave BollandAGE:29PO:0OV:61
Mikhail GrigorenkoAGE:21PO:0OV:61
Peter HollandAGE:24PO:0OV:61
Linden VeyAGE:24PO:0OV:57
*Andrew CoppAGE:21PO:0OV:56
Andreas AthanasiouAGE:21PO:0OV:54
Byron FroeseAGE:24PO:0OV:53
Kevin PorterAGE:29PO:0OV:51
Sean CollinsAGE:31PO:0OV:51
Michael McCarronAGE:20PO:0OV:51
Brian O'NeillAGE:27PO:0OV:50
*Charles HudonAGE:21PO:0OV:50
Jim O'BrienAGE:26PO:0OV:49
Ryan CraigAGE:33PO:0OV:48
Mikko RantanenAGE:18PO:0OV:48
Ryan CarpenterAGE:24PO:0OV:48
Gabriel DumontAGE:24PO:0OV:47
David UllstromAGE:26PO:0OV:43
*Steven ShipleyAGE:23PO:0OV:42
*Kelsey TessierAGE:25PO:0OV:41
Simon MoserAGE:26PO:0OV:40
*Jeremy GregoireAGE:20PO:0OV:39
Carson McMillanAGE:27PO:0OV:38
Greg NemiszAGE:25PO:0OV:37
Joonas RaskAGE:25PO:0OV:36
Nick FolignoAGE:27PO:0OV:70
Jarome IginlaAGE:38PO:0OV:69
Tyler EnnisAGE:25PO:0OV:64
Elias LindholmAGE:20PO:0OV:64
Mikhail GrigorenkoAGE:21PO:0OV:61
Alexander SeminAGE:31PO:0OV:60
Reid BoucherAGE:22PO:0OV:60
Linden VeyAGE:24PO:0OV:57
Ty RattieAGE:22PO:0OV:57
Andreas AthanasiouAGE:21PO:0OV:54
Michael BournivalAGE:23PO:0OV:53
Kevin PorterAGE:29PO:0OV:51
*Emile PoirierAGE:20PO:0OV:51
Michael McCarronAGE:20PO:0OV:51
Brian O'NeillAGE:27PO:0OV:50
*Tyler BiggsAGE:22PO:0OV:50
Mikko RantanenAGE:18PO:0OV:48
Ryan CarpenterAGE:24PO:0OV:48
Gabriel DumontAGE:24PO:0OV:47
*Adam ErneAGE:20PO:0OV:46
David UllstromAGE:26PO:0OV:43
Nick PalmieriAGE:26PO:0OV:43
Simon MoserAGE:26PO:0OV:40
Evgeny DadonovAGE:26PO:0OV:39
Carson McMillanAGE:27PO:0OV:38
Greg NemiszAGE:25PO:0OV:37

Défense #1Défense #2Gardien
Brent BurnsAGE:30PO:0OV:74
Johnny BoychukAGE:31PO:0OV:70
Andrew FerenceAGE:36PO:0OV:61
Alexey MarchenkoAGE:23PO:0OV:60
Mark FistricAGE:29PO:0OV:58
Carlo ColaiacovoAGE:32PO:0OV:57
Jamie OleksiakAGE:22PO:0OV:57
Nate GueninAGE:32PO:0OV:57
Christian FolinAGE:24PO:0OV:57
Joe MorrowAGE:22PO:0OV:56
Taylor ChorneyAGE:28PO:0OV:56
Peter HarroldAGE:32PO:0OV:55
Shea TheodoreAGE:20PO:0OV:55
*Michael MathesonAGE:21PO:0OV:52
*Madison BoweyAGE:20PO:0OV:45
*Mathieu BriseboisAGE:23PO:0OV:45
*Brycen MartinAGE:19PO:0OV:44
*Joey LeachAGE:23PO:0OV:44
*Adam JanosikAGE:23PO:0OV:43
*Justin WellerAGE:24PO:0OV:42
*Loic LeducAGE:21PO:0OV:42
*Mike McKeeAGE:22PO:0OV:41
*Joshua BrownAGE:21PO:0OV:40
*Teigan ZahnAGE:25PO:0OV:40
Chad BillinsAGE:26PO:0OV:38
Johan MotinAGE:25PO:0OV:37
Eric BrewerAGE:36PO:0OV:23
Sheldon SourayAGE:39PO:0OV:23
Craig AndersonAGE:34PO:0OV:74
Jonas HillerAGE:33PO:0OV:60
Troy GrosenickAGE:26PO:0OV:49
Malcolm SubbanAGE:21PO:0OV:47
*Harri SateriAGE:25PO:0OV:43
Shawn HunwickAGE:28PO:0OV:40

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
Alex LyonWashington201682
Boris KatchoukWashington201652
Brock BoeserWashington201528
Jakub ZborilWashington201519
Jesse PuljujarviWashington20164
Mikhail SergachevWashington201610
Nathan BastianWashington201648
Phillipe MyersWashington201670
Ryan GroppWashington201578
Sean DayWashington2016102

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017Har Was Nas Las Stl Ana Stl
2018Was Was Tor Was
2019Was Was Was Was Was Was
2020Was Was Was Was Was Was Was
2021Was Was Was Was Was Was Was



[2016-09-16 21:11:09] - Byron Froese was added to Washington.
[2016-09-16 21:11:14] - Jarome Iginla was added to Washington.
[2016-09-16 21:11:18] - Ryan Carpenter was added to Washington.
[2016-09-16 21:16:29] - Andreas Athanasiou was added to Washington.
[2016-09-16 21:16:30] - TRADE : From Philadelphie to Washington : Andreas Athanasiou (54), Y:2017-RND:4-Phi.
[2016-09-16 21:16:30] - TRADE : From Washington to Philadelphie : Jyrki Jokipakka (60), Y:2017-RND:7-Chi.
[2016-09-16 21:17:21] - TRADE : From Atlanta to Washington : 1 $ (Money).
[2016-09-16 21:17:21] - TRADE : From Washington to Atlanta : Andreas Lilja (23).
[2016-09-16 21:18:12] - TRADE : From Hartford to Washington : 1 $ (Money).
[2016-09-16 21:18:12] - TRADE : From Washington to Hartford : Matt Delahey (42), Michael Caruso (37).
[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).
[2016-09-28 20:00:18] - Unknown Player is no longer captain for Washington.
[2016-09-28 20:00:18] - Jarome Iginla has been selected as captain for Washington.
[2016-09-28 20:00:18] - Unknown Player is no longer as assistant for Washington.
[2016-09-28 20:00:18] - Johnny Boychuk has been selected as assistant for Washington.
[2016-09-28 20:00:18] - Unknown Player is no longer as assistant for Washington.
[2016-09-28 20:00:18] - Dave Bolland has been selected as assistant for Washington.
[2016-10-02 22:21:06] - General Manager Change : Washington fired general manager Patrice Caron
[2016-10-02 22:21:06] - General Manager Change : Washington hired general manager David Arseneault
[2016-10-02 22:25:59] - Eric Brewer was added to Washington.
[2016-10-02 22:26:00] - TRADE : From Anaheim to Washington : Eric Brewer (23), Y:2018-RND:7-Ana.
[2016-10-02 22:26:00] - TRADE : From Washington to Anaheim : 1 $ (Money).
[2016-11-28 06:34:52] - Elias Lindholm was added to Washington.
[2016-11-28 06:34:53] - TRADE : From St-Louis to Washington : Elias Lindholm (64), Ryan Gropp (P), Y:2017-RND:2-Stl, Y:2017-RND:3-Stl, Y:2018-RND:5-Stl.
[2016-11-28 06:34:53] - TRADE : From Washington to St-Louis : Nino Niederreiter (66), Xavier Ouellet (56), Y:2017-RND:4-Phi, Y:2018-RND:7-Ana, Y:2018-RND:7-Pit.
[2016-12-13 21:26:51] - New Record for Team's Most Hits (36) in 1 Game for Washington!
[2017-01-17 21:51:36] - TRADE : From Montreal to Washington : Sean Day (P), Y:2017-RND:7-LA .
[2017-01-17 21:51:36] - TRADE : From Washington to Montreal : Matt Read (64), Y:2018-RND:5-Stl.
[2017-02-02 20:54:35] - Linden Vey was added to Washington.
[2017-02-02 20:54:36] - TRADE : From Pittsburgh to Washington : Linden Vey (57).
[2017-02-19 10:16:48] - Brent Burns was added to Washington.
[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] - Johnny Boychuk is no longer as assistant for Washington.
[2017-02-20 20:00:17] - Brent Burns has been selected as assistant for Washington.
[2017-02-20 20:00:17] - Unknown Player is no longer as assistant for Washington.
[2017-02-20 20:00:17] - Johnny Boychuk has been selected as assistant for Washington.
[2017-02-23 22:15:39] - Ryan Fitzgerald was added to Washington.
[2017-02-23 22:15:40] - TRADE : From Edmonton to Washington : Ryan Fitzgerald (41), Dante Fabbro (P), Dennis Yan (P).
[2017-02-23 22:15:40] - TRADE : From Washington to Edmonton : Darnell Nurse (60), Y:2017-RND:7-LA .
[2017-03-02 00:03:02] - Nick Foligno was added to Washington.
[2017-03-02 00:03:04] - TRADE : From Kansas City to Washington : Nick Foligno (70).
[2017-03-02 00:03:04] - TRADE : From Washington to Kansas City : Ryan Fitzgerald (41), Dante Fabbro (P), Dennis Yan (P), Y:2017-RND:2-Was.
[2017-03-02 00:03:56] - Peter Holland was added to Washington.
[2017-03-02 00:03:57] - TRADE : From Washington to Nashville : Y:2019-RND:5-Was.
[2017-03-02 00:03:57] - TRADE : From Nashville to Washington : Peter Holland (61).
[2017-03-23 20:00:23] - New Record for Team's Most Shots (44) in 1 Game for Washington!



Nick Foligno est suspendu pour 5 plusieurs matchs.



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
201682235102042237294-5741102801002110148-3841132301040127146-19462374076440264887982060626761662342336654107914974447316.44%4349079.26%31269263048.25%1259272946.13%646132448.79%1818120120666511069516
Total Saison Régulière82235102042237294-5741102801002110148-3841132301040127146-19462374076440264887982060626761662342336654107914974447316.44%4349079.26%31269263048.25%1259272946.13%646132448.79%1818120120666511069516