Columbus Blue Jackets

GP: 51 | W: 28 | L: 17 | OTL: 6 | P: 62
GF: 148 | GA: 119 | PP%: 20.39% | PK%: 84.46%
DG: Patrick Auger | Morale : 54 | Moyenne d'Équipe : 72
Prochain matchs #792 vs Buffalo Sabres
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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
1Ryan Nugent-HopkinsXX100.006438837971869577828078817971698767750
2Chris Kreider (C)X100.008443718087839276567477597875806967730
3Zach Hyman (A)XX100.008054747379838471747272886973715267730
4Phillip DanaultX100.007645797477869473867867856971697670730
5David PastrnakX100.006439828473847982558386588465678156730
6Evgenii Dadonov (A)XX100.005636927769849576528079637680745267720
7Jonathan DrouinXXX100.006238848373829482767871598267698667720
8Alex GalchenyukXXX100.006340847879808577717573527669718667700
9Dylan StromeX100.005337867483819273797772637463658967700
10Colin WhiteXX100.005638847371818471807467657263648268680
11Matt NietoXX100.005936906670757765536864836573686167670
12Oskar LindblomXX100.006937876776759465536667646365675667660
13Ian ColeX100.008168596481858463307359885178706669730
14Nate SchmidtX100.005936907376887472307967845675693667720
15Matt DumbaX100.008347807871905077308076756869668427710
16Mike MathesonX100.006441736879898867307469785669667862710
17Marco ScandellaX100.007239816585837663307164775277705743700
18Dan HamhuisX100.006840816278817361307254774887773860690
Rayé
1Madison BoweyX100.007754736280796361307354665267656855650
MOYENNE D'ÉQUIPE100.00684281737783837154756972677169696271
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
1Braden Holtby100.00939593839291939291939278845034870
2Carter Hart (R)100.00848886778382848382848361657562790
Rayé
MOYENNE D'ÉQUIPE100.0089929080888789888789887075634883
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner83798983716678CAN4741,000,000$


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
1Ryan Nugent-HopkinsColumbus Blue JacketsC/LW5125224710160531451944111812.89%12102820.1691221421870005893252.37%128700010.9102000335
2Nate SchmidtColumbus Blue JacketsD5143236112019768426524.76%62122824.0831215491840222168000.00%000000.5900000002
3Phillip DanaultColumbus Blue JacketsC5115213673951091741432911510.49%14106620.91781541161202101952252.21%147100100.6802100332
4Evgenii DadonovColumbus Blue JacketsLW/RW511123342002154140331057.86%391918.045121730180000004041.43%7000000.7400000132
5David PastrnakColumbus Blue JacketsRW47171734912056551273910113.39%381417.32641031132000005231.58%5700010.8412000440
6Matt DumbaColumbus Blue JacketsD42721281455589558333548.43%3588321.0435843153000014110.00%000000.6300010121
7Ian ColeColumbus Blue JacketsD51323266782018058387197.89%72107020.9913412580330143010.00%000000.4900112333
8Jonathan DrouinColumbus Blue JacketsC/LW/RW511015252100326212933787.75%386216.9236932161000001052.46%6100010.5801000111
9Alex GalchenyukColumbus Blue JacketsC/LW/RW511011216100284978186012.82%175114.730337610000542032.61%9200000.5600000011
10Zach HymanColumbus Blue JacketsLW/RW51912211164101129210031909.00%979815.660001011291801152.17%6900000.5300101233
11Dylan StromeColumbus Blue JacketsC51713206208827113529.86%565212.80000020000251052.39%73100000.6100000002
12Chris KreiderColumbus Blue JacketsLW5198172600163529433819.57%389017.4535825167000014037.78%4500000.3800000302
13Marco ScandellaColumbus Blue JacketsD4721315042055293512255.71%4191319.45156231210110120000.00%000000.3300000003
14Mike MathesonColumbus Blue JacketsD3521214016045273613235.56%3472920.8306618105000089000.00%000000.3800000011
15Oskar LindblomColumbus Blue JacketsC/LW518412-38039193542322.86%23306.48000001011211133.33%2100000.7300000020
16Dan HamhuisColumbus Blue JacketsD5111112-71605750199195.26%5084316.540003260000109000.00%000000.2800000101
17Colin WhiteColumbus Blue JacketsC/RW513692951341329209.38%13296.4700004000001145.06%32400000.5500001010
18Matt NietoColumbus Blue JacketsLW/RW51369-1201535438316.98%83867.59000000002930052.38%2100000.4700000000
19Madison BoweyColumbus Blue JacketsD431453475852216356.25%3469916.26101672000035100.00%000000.1400001000
20Casey MittelstadtMonsters (Clb)C4011-200002010.00%0225.5900000000000047.83%2300000.8900000000
Stats d'équipe Total ou en Moyenne932147275422784885011791177149939410729.81%3921522216.33428112336317834711291344271150.61%427200130.5517325222729
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
1Braden HoltbyColumbus Blue Jackets46261620.9152.312572669911600001.0003456613
2Carter HartColumbus Blue Jackets122140.9252.1350700182410100.2005645000
Stats d'équipe Total ou en Moyenne58281760.9162.2830806611714010100.50085151613


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex GalchenyukColumbus Blue JacketsC/LW/RW251994-02-12No207 Lbs6 ft1NoNoNo4Pro & Farm2,330,000$2,330,000$847,273$No2,330,000$2,330,000$2,330,000$Lien
Braden HoltbyColumbus Blue JacketsG291989-09-16No211 Lbs6 ft2NoNoNo3Pro & Farm5,000,000$5,000,000$1,818,182$No5,000,000$5,000,000$Lien
Carter HartColumbus Blue JacketsG201998-08-13Yes181 Lbs6 ft2NoNoNo4Pro & Farm500,000$500,000$181,818$No500,000$500,000$500,000$Lien
Chris KreiderColumbus Blue JacketsLW281991-04-30No220 Lbs6 ft3NoNoNo1Pro & Farm3,500,000$3,500,000$1,272,727$NoLien
Colin WhiteColumbus Blue JacketsC/RW221997-01-30No183 Lbs6 ft0NoNoNo3Pro & Farm900,000$900,000$327,273$No900,000$900,000$Lien
Dan HamhuisColumbus Blue JacketsD361982-12-13No204 Lbs6 ft1NoNoNo2Pro & Farm2,000,111$2,000,111$727,313$No2,000,111$Lien
David PastrnakColumbus Blue JacketsRW231996-05-25No194 Lbs6 ft0NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Dylan StromeColumbus Blue JacketsC221997-03-07No200 Lbs6 ft3NoNoNo3Pro & Farm900,000$900,000$327,273$No900,000$900,000$Lien
Evgenii DadonovColumbus Blue JacketsLW/RW301989-03-12No185 Lbs5 ft11NoNoNo4Pro & Farm4,500,000$4,500,000$1,636,364$No4,500,000$4,500,000$4,500,000$Lien
Ian ColeColumbus Blue JacketsD301989-02-21No219 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Jonathan DrouinColumbus Blue JacketsC/LW/RW241995-03-28No193 Lbs6 ft0NoNoNo4Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$2,500,000$2,500,000$Lien
Madison BoweyColumbus Blue JacketsD241995-04-22No198 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Marco ScandellaColumbus Blue JacketsD291990-02-23No210 Lbs6 ft3NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Matt DumbaColumbus Blue JacketsD241994-07-25No182 Lbs6 ft0NoNoNo3Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$3,500,000$Lien
Matt NietoColumbus Blue JacketsLW/RW261992-11-05No190 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Mike MathesonColumbus Blue JacketsD251994-02-27No193 Lbs6 ft2NoNoNo4Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$2,500,000$2,500,000$Lien
Nate SchmidtColumbus Blue JacketsD271991-07-16No194 Lbs6 ft1NoNoNo2Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$Lien
Oskar LindblomColumbus Blue JacketsC/LW221996-08-15No191 Lbs6 ft1NoNoNo3Pro & Farm500,000$500,000$181,818$No500,000$500,000$Lien
Phillip DanaultColumbus Blue JacketsC261993-02-24No198 Lbs6 ft1NoNoNo3Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$2,500,000$Lien
Ryan Nugent-HopkinsColumbus Blue JacketsC/LW261993-04-12No184 Lbs6 ft0NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Zach HymanColumbus Blue JacketsLW/RW271992-06-09No209 Lbs6 ft1NoNoNo4Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$3,500,000$3,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.95197 Lbs6 ft12.672,339,529$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,130,111$38,130,111$29,130,000$15,830,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan DrouinRyan Nugent-HopkinsDavid Pastrnak32113
2Chris KreiderPhillip DanaultEvgenii Dadonov32122
3Zach HymanDylan StromeAlex Galchenyuk27122
4Oskar LindblomColin WhiteMatt Nieto9122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt35122
2Ian ColeMike Matheson34122
3Marco ScandellaDan Hamhuis27131
4Matt DumbaNate Schmidt4023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgenii DadonovRyan Nugent-HopkinsDavid Pastrnak60005
2Chris KreiderPhillip DanaultJonathan Drouin40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt55014
2Mike MathesonMarco Scandella45113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phillip DanaultZach Hyman60131
2Ryan Nugent-HopkinsMatt Nieto40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian ColeNate Schmidt55140
2Marco ScandellaDan Hamhuis45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Hyman60140Ian ColeNate Schmidt55140
2Phillip Danault40140Marco ScandellaDan Hamhuis45140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Nugent-HopkinsDavid Pastrnak60122
2Phillip DanaultEvgenii Dadonov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt55122
2Ian ColeMarco Scandella45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris KreiderRyan Nugent-HopkinsEvgenii DadonovMatt DumbaNate Schmidt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach HymanPhillip DanaultMatt NietoIan ColeNate Schmidt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Evgenii Dadonov, David Pastrnak, Phillip DanaultChris Kreider, David PastrnakPhillip Danault
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nate Schmidt, Matt Dumba, Ian ColeNate SchmidtMatt Dumba, Ian Cole
Tirs de Pénalité
David Pastrnak, Jonathan Drouin, Ryan Nugent-Hopkins, Chris Kreider, Evgenii Dadonov
Gardien
#1 : Braden Holtby, #2 : Carter Hart


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
1Anaheim Ducks220000001156110000005231100000063341.0001121320034406417222505420244911436.36%10190.00%1926178251.96%868172450.35%36872450.83%493446132412
2Boston Bruins22000000642110000003211100000032141.00061218002220581823170691020437114.29%7271.43%0926178251.96%868172450.35%36872450.83%453048142612
3Buffalo Sabres11000000202110000002020000000000021.000235011100329914027118216116.67%40100.00%0926178251.96%868172450.35%36872450.83%2316247125
4Calgary Flames11000000523110000005230000000000021.00051015003110261011502238285240.00%40100.00%0926178251.96%868172450.35%36872450.83%2517217137
5Carolina Hurricanes32000100651210001004401100000021150.833612180011407223133607316245210330.00%11281.82%0926178251.96%868172450.35%36872450.83%735267243919
6Chicago Blackhawks21100000752110000005051010000025-320.50071219011420591229180481412461119.09%6183.33%0926178251.96%868172450.35%36872450.83%523742132412
7Colorado Avalanche1010000024-2000000000001010000024-200.0002460001102961112033527206116.67%30100.00%0926178251.96%868172450.35%36872450.83%2214248126
8Dallas Stars1010000012-11010000012-10000000000000.0001230010001455402510122411100.00%4175.00%0926178251.96%868172450.35%36872450.83%2013278115
9Detroit Red Wings211000006511010000023-11100000042220.5006101600222050151520048113148900.00%11281.82%0926178251.96%868172450.35%36872450.83%473247162412
10Edmonton Oilers11000000404110000004040000000000021.0004711012020311271201446284125.00%30100.00%0926178251.96%868172450.35%36872450.83%2518217126
11Florida Panthers2010010057-21010000034-11000010023-110.2505914001400471220132461414525120.00%70100.00%0926178251.96%868172450.35%36872450.83%452949152612
12Los Angeles Kings21100000752110000005231010000023-120.50071421003310652719190552218495240.00%6183.33%0926178251.96%868172450.35%36872450.83%453149132412
13Montreal Canadiens22000000606110000003031100000030341.000611170241105120161506213202811436.36%100100.00%1926178251.96%868172450.35%36872450.83%463149152412
14New Jersey Devils2010010069-32010010069-30000000000010.25061016002220561717220762112489222.22%6266.67%0926178251.96%868172450.35%36872450.83%453050142412
15New York Islanders311001008801010000023-12100010065130.500813210033208225342216922336812216.67%9277.78%1926178251.96%868172450.35%36872450.83%694874213819
16New York Rangers2110000056-11010000024-21100000032120.5005914003110692127210531418529111.11%7271.43%0926178251.96%868172450.35%36872450.83%513643152412
17Ottawa Senators21100000541110000005231010000002-220.50051015003110671716340511412466350.00%5180.00%0926178251.96%868172450.35%36872450.83%493545142412
18Philadelphia Flyers2010000135-21010000012-11000000123-110.2503690011104616820450162142600.00%8187.50%0926178251.96%868172450.35%36872450.83%453053142512
19Phoenix Coyotes201010004401010000012-11000100032120.5004812001111721827252611424449111.11%7185.71%0926178251.96%868172450.35%36872450.83%543944142412
20Pittsburgh Penguins3010001168-21000000134-12010001034-130.500691500014195382624121081822781417.14%10370.00%0926178251.96%868172450.35%36872450.83%725077243918
21San Jose Sharks22000000633110000003121100000032141.000612180023106517331503711164712433.33%80100.00%0926178251.96%868172450.35%36872450.83%523742152512
22St. Louis Blues20101000990100010005411010000045-120.50091827004221522017123621625549333.33%10370.00%0926178251.96%868172450.35%36872450.83%503444142512
23Toronto Maple Leafs2110000057-21010000014-31100000043120.5005914002120582220160662014474125.00%7185.71%0926178251.96%868172450.35%36872450.83%453048132511
Total5125170241214811929271211012017663132413601211725616620.608148272420064851463149246851049724140137549011582064220.39%1933084.46%4926178251.96%868172450.35%36872450.83%12288501214378642320
25Vegas Golden Knights22000000835110000004221100000041341.0008152300134079263023049191837600.00%8275.00%1926178251.96%868172450.35%36872450.83%493444152513
26Washington Capitals321000009721010000003-32200000094540.6679152400252083213131099273974700.00%17288.24%0926178251.96%868172450.35%36872450.83%664477193517
27Winnipeg Jets211000006241010000012-11100000050520.500611170103307024242204410123312216.67%50100.00%0926178251.96%868172450.35%36872450.83%493446142412
_Since Last GM Reset5125170241214811929271211012017663132413601211725616620.608148272420064851463149246851049724140137549011582064220.39%1933084.46%4926178251.96%868172450.35%36872450.83%12288501214378642320
_Vs Conference31141000412787531658002013744-7159200211413110360.58178138216032726241866274275305198972272886991152017.39%1192083.19%2926178251.96%868172450.35%36872450.83%729501759231392194
_Vs Division1866003124348-5915002011829-119510011125196190.52843741170012141615031611561761752813416941467913.43%681479.41%1926178251.96%868172450.35%36872450.83%426295445134227113

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5162L114827242014921401375490115806
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5125172412148119
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27121112017663
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2413612117256
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
2064220.39%1933084.46%4
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
468510497244851463
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
926178251.96%868172450.35%36872450.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12288501214378642320


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
3 - 2019-09-0416Toronto Maple Leafs4Columbus Blue Jackets1LSommaire du Match
4 - 2019-09-0522Columbus Blue Jackets2Pittsburgh Penguins1WXXSommaire du Match
6 - 2019-09-0735Buffalo Sabres0Columbus Blue Jackets2WSommaire du Match
10 - 2019-09-1159Anaheim Ducks2Columbus Blue Jackets5WSommaire du Match
11 - 2019-09-1269Columbus Blue Jackets2Carolina Hurricanes1WSommaire du Match
15 - 2019-09-1694Dallas Stars2Columbus Blue Jackets1LSommaire du Match
17 - 2019-09-18110Columbus Blue Jackets2Chicago Blackhawks5LSommaire du Match
18 - 2019-09-19120New York Islanders3Columbus Blue Jackets2LSommaire du Match
20 - 2019-09-21129Columbus Blue Jackets4Toronto Maple Leafs3WSommaire du Match
23 - 2019-09-24148Carolina Hurricanes3Columbus Blue Jackets2LXSommaire du Match
25 - 2019-09-26165Columbus Blue Jackets2Philadelphia Flyers3LXXSommaire du Match
29 - 2019-09-30189Edmonton Oilers0Columbus Blue Jackets4WSommaire du Match
31 - 2019-10-02200Columbus Blue Jackets4St. Louis Blues5LSommaire du Match
32 - 2019-10-03212Calgary Flames2Columbus Blue Jackets5WSommaire du Match
35 - 2019-10-06227Vegas Golden Knights2Columbus Blue Jackets4WSommaire du Match
37 - 2019-10-08246Columbus Blue Jackets3Phoenix Coyotes2WXSommaire du Match
39 - 2019-10-10260Columbus Blue Jackets2Colorado Avalanche4LR3Sommaire du Match
42 - 2019-10-13273Columbus Blue Jackets3Montreal Canadiens0WSommaire du Match
45 - 2019-10-16297St. Louis Blues4Columbus Blue Jackets5WXSommaire du Match
49 - 2019-10-20322Montreal Canadiens0Columbus Blue Jackets3WSommaire du Match
51 - 2019-10-22337Detroit Red Wings3Columbus Blue Jackets2LSommaire du Match
53 - 2019-10-24352Columbus Blue Jackets5Winnipeg Jets0WSommaire du Match
55 - 2019-10-26369Ottawa Senators2Columbus Blue Jackets5WSommaire du Match
57 - 2019-10-28384Philadelphia Flyers2Columbus Blue Jackets1LSommaire du Match
59 - 2019-10-30400Pittsburgh Penguins4Columbus Blue Jackets3LXXSommaire du Match
60 - 2019-10-31410Columbus Blue Jackets3New York Islanders1WSommaire du Match
63 - 2019-11-03429Phoenix Coyotes2Columbus Blue Jackets1LSommaire du Match
65 - 2019-11-05444New York Rangers4Columbus Blue Jackets2LSommaire du Match
67 - 2019-11-07458Columbus Blue Jackets2Florida Panthers3LXSommaire du Match
69 - 2019-11-09469Columbus Blue Jackets4Washington Capitals3WSommaire du Match
72 - 2019-11-12490Columbus Blue Jackets1Pittsburgh Penguins3LSommaire du Match
74 - 2019-11-14501Columbus Blue Jackets0Ottawa Senators2LSommaire du Match
76 - 2019-11-16521Washington Capitals3Columbus Blue Jackets0LSommaire du Match
77 - 2019-11-17529Columbus Blue Jackets4Detroit Red Wings2WSommaire du Match
79 - 2019-11-19541Los Angeles Kings2Columbus Blue Jackets5WSommaire du Match
81 - 2019-11-21561New Jersey Devils4Columbus Blue Jackets3LXSommaire du Match
83 - 2019-11-23573Columbus Blue Jackets3New York Islanders4LXSommaire du Match
87 - 2019-11-27585Columbus Blue Jackets5Washington Capitals1WSommaire du Match
89 - 2019-11-29604Chicago Blackhawks0Columbus Blue Jackets5WSommaire du Match
91 - 2019-12-01619Florida Panthers4Columbus Blue Jackets3LSommaire du Match
93 - 2019-12-03627Columbus Blue Jackets3Boston Bruins2WSommaire du Match
95 - 2019-12-05642San Jose Sharks1Columbus Blue Jackets3WSommaire du Match
97 - 2019-12-07662Columbus Blue Jackets2Los Angeles Kings3LSommaire du Match
98 - 2019-12-08674Columbus Blue Jackets6Anaheim Ducks3WSommaire du Match
100 - 2019-12-10688Columbus Blue Jackets3San Jose Sharks2WSommaire du Match
102 - 2019-12-12700Columbus Blue Jackets4Vegas Golden Knights1WSommaire du Match
105 - 2019-12-15719Boston Bruins2Columbus Blue Jackets3WSommaire du Match
107 - 2019-12-17733Carolina Hurricanes1Columbus Blue Jackets2WSommaire du Match
109 - 2019-12-19751New Jersey Devils5Columbus Blue Jackets3LSommaire du Match
110 - 2019-12-20758Columbus Blue Jackets3New York Rangers2WSommaire du Match
113 - 2019-12-23766Winnipeg Jets2Columbus Blue Jackets1LSommaire du Match
123 - 2020-01-02792Columbus Blue Jackets-Buffalo Sabres-
124 - 2020-01-03807Columbus Blue Jackets-Montreal Canadiens-
126 - 2020-01-05818Florida Panthers-Columbus Blue Jackets-
129 - 2020-01-08841Detroit Red Wings-Columbus Blue Jackets-
130 - 2020-01-09851Colorado Avalanche-Columbus Blue Jackets-
132 - 2020-01-11863Tampa Bay Lightning-Columbus Blue Jackets-
135 - 2020-01-14880Columbus Blue Jackets-Buffalo Sabres-
136 - 2020-01-15893New York Rangers-Columbus Blue Jackets-
138 - 2020-01-17912Columbus Blue Jackets-New Jersey Devils-
140 - 2020-01-19920Columbus Blue Jackets-Philadelphia Flyers-
142 - 2020-01-21936Philadelphia Flyers-Columbus Blue Jackets-
144 - 2020-01-23955Columbus Blue Jackets-Nashville Predators-
146 - 2020-01-25967Ottawa Senators-Columbus Blue Jackets-
147 - 2020-01-26978Columbus Blue Jackets-Minnesota Wild-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29995Minnesota Wild-Columbus Blue Jackets-
152 - 2020-01-311013Vancouver Canucks-Columbus Blue Jackets-
155 - 2020-02-031030Columbus Blue Jackets-Calgary Flames-
158 - 2020-02-061058Columbus Blue Jackets-Edmonton Oilers-
159 - 2020-02-071064Columbus Blue Jackets-Vancouver Canucks-
163 - 2020-02-111088Pittsburgh Penguins-Columbus Blue Jackets-
165 - 2020-02-131105Nashville Predators-Columbus Blue Jackets-
167 - 2020-02-151118Columbus Blue Jackets-Boston Bruins-
170 - 2020-02-181141Washington Capitals-Columbus Blue Jackets-
172 - 2020-02-201155Columbus Blue Jackets-Toronto Maple Leafs-
174 - 2020-02-221171Columbus Blue Jackets-New Jersey Devils-
175 - 2020-02-231178Columbus Blue Jackets-New York Rangers-
178 - 2020-02-261199Columbus Blue Jackets-Tampa Bay Lightning-
179 - 2020-02-271212Columbus Blue Jackets-Dallas Stars-
181 - 2020-02-291226New York Islanders-Columbus Blue Jackets-
184 - 2020-03-031249Tampa Bay Lightning-Columbus Blue Jackets-
185 - 2020-03-041255Columbus Blue Jackets-Carolina Hurricanes-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance152,417129,49651,021102,09325,367
Attendance PCT94.08%95.92%94.48%94.53%93.95%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
14 17052 - 94.73% 602,791$16,275,349$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
30,623,387$ 49,130,111$ 4,500,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,130,111$ 29,954,954$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
8,439,070$ 68 268,075$ 18,229,100$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
20,195,750$ 49,130,111$ 156,984,129$ 145,227,449$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Ryan Nugent-HopkinsAGE:26PO:87OV:75
Chris KreiderAGE:28PO:69OV:73
Zach HymanAGE:27PO:52OV:73
Jonathan DrouinAGE:24PO:86OV:72
Evgenii DadonovAGE:30PO:52OV:72
Alex GalchenyukAGE:25PO:86OV:70
Matt NietoAGE:26PO:61OV:67
Oskar LindblomAGE:22PO:56OV:66
Nick CousinsAGE:25PO:63OV:64
Oscar LindbergAGE:27PO:58OV:64
Brendan LeipsicAGE:25PO:61OV:63
*Jonah GadjovichAGE:20PO:64OV:58
Ryan Nugent-HopkinsAGE:26PO:87OV:75
Phillip DanaultAGE:26PO:76OV:73
Jonathan DrouinAGE:24PO:86OV:72
Dylan StromeAGE:22PO:89OV:70
Alex GalchenyukAGE:25PO:86OV:70
Colin WhiteAGE:22PO:82OV:68
Oskar LindblomAGE:22PO:56OV:66
*Casey MittelstadtAGE:20PO:87OV:64
Nick CousinsAGE:25PO:63OV:64
Brendan LeipsicAGE:25PO:61OV:63
Ryan HaggertyAGE:26PO:59OV:62
Emil PetterssonAGE:25PO:60OV:61
Daniel AudetteAGE:23PO:62OV:59
David PastrnakAGE:23PO:81OV:73
Zach HymanAGE:27PO:52OV:73
Jonathan DrouinAGE:24PO:86OV:72
Evgenii DadonovAGE:30PO:52OV:72
Alex GalchenyukAGE:25PO:86OV:70
Colin WhiteAGE:22PO:82OV:68
Matt NietoAGE:26PO:61OV:67
Buddy RobinsonAGE:27PO:57OV:65
Nick CousinsAGE:25PO:63OV:64
Ryan HaggertyAGE:26PO:59OV:62
Brayden BurkeAGE:22PO:72OV:59
Nikita SoshnikovAGE:25PO:51OV:58
*David KaseAGE:22PO:63OV:57
Max VeronneauAGE:23PO:43OV:56

Défense #1Défense #2Gardien
Ian ColeAGE:30PO:66OV:73
Nate SchmidtAGE:27PO:36OV:72
Matt DumbaAGE:24PO:84OV:71
Mike MathesonAGE:25PO:78OV:71
Marco ScandellaAGE:29PO:57OV:70
Dan HamhuisAGE:36PO:38OV:69
Madison BoweyAGE:24PO:68OV:65
Ryan SproulAGE:26PO:67OV:65
Josiah DidierAGE:26PO:60OV:61
Jeremy RoyAGE:22PO:74OV:60
Kyle BurroughsAGE:23PO:71OV:60
Brennan MenellAGE:22PO:63OV:60
Will O'NeillAGE:31PO:54OV:60
Braden HoltbyAGE:29PO:50OV:87
*Carter HartAGE:20PO:75OV:79
Marcus HogbergAGE:24PO:64OV:75
Eamon McAdamAGE:24PO:51OV:70
*Evan CormierAGE:21PO:53OV:69
Filip GustavssonAGE:21PO:75OV:68

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
Akim AliuColumbus Blue Jackets
Alexei LipanovColumbus Blue Jackets1380
Brandon AldersonColumbus Blue Jackets
Bulat ShafigullinColumbus Blue Jackets14105
Cal HeeterColumbus Blue Jackets
Chris KellyColumbus Blue Jackets
Cody KunykColumbus Blue Jackets
Cole HultsColumbus Blue Jackets13166
Daniel CatenacciColumbus Blue Jackets
Evgeni DadonovColumbus Blue Jackets
Filip WesterlundColumbus Blue Jackets13109
Jake LeschyshynColumbus Blue Jackets1395
Jeff MalcolmColumbus Blue Jackets
John NegrinColumbus Blue Jackets
Jonny TychonickColumbus Blue Jackets1474
Joshua WinquistColumbus Blue Jackets
Kasper BjorkqvistColumbus Blue Jackets12121
Lauri KorpikoskiColumbus Blue Jackets
Leon GawankeColumbus Blue Jackets13171
Marcus HögbergColumbus Blue Jackets992
Marian GaborikColumbus Blue Jackets
Matt BucklesColumbus Blue Jackets
Mike BrownColumbus Blue Jackets
Mike WeberColumbus Blue Jackets
Nick TarnaskyColumbus Blue Jackets
Olivier ArchambaultColumbus Blue Jackets
Quinton HowdenColumbus Blue Jackets
Robin NorellColumbus Blue Jackets
Stephen MacAulayColumbus Blue Jackets
Tim BozonColumbus Blue Jackets
Ty SmithColumbus Blue Jackets1413
Ville PokkaColumbus Blue Jackets
Zach O'BrienColumbus Blue Jackets
Zack StortiniColumbus Blue Jackets

Choix au Repêchage

Année R1R2R3R4R5R6
15Clb Clb Buf MTL Clb
16Nas Clb Clb Buf PHX Clb Clb Clb
17Clb Clb Clb Chi Dal Clb Ott Clb Clb
18Clb Clb Clb Clb
19Clb Clb Clb Clb Clb



[2020-01-04 05:17:29] - TRADE : From Montreal Canadiens to Columbus Blue Jackets : Y:17-RND:3-Dal, Y:15-RND:6-MTL.
[2020-01-04 05:17:29] - TRADE : From Columbus Blue Jackets to Montreal Canadiens : Jake Evans (61).
[2019-11-18 13:53:36] - TRADE : From Vegas Golden Knights to Columbus Blue Jackets : Dan Hamhuis (68).
[2019-11-18 13:53:36] - TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Brian Lashoff (64), Y:15-RND:4-Clb, Y:15-RND:5-Clb, Y:19-RND:6-Clb.
[2019-10-03 09:33:53] - Zach Hyman has been selected as assistant for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Chris Kreider is no longer as assistant for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Evgenii Dadonov has been selected as assistant for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Alex Galchenyuk is no longer as assistant for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Chris Kreider has been selected as captain for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Unknown Player is no longer captain for Columbus Blue Jackets.
[2019-08-17 10:52:30] - Brayden Burke was added to Columbus Blue Jackets.
[2019-08-07 07:50:51] - Max Veronneau was added to Columbus Blue Jackets.
[2019-07-31 15:25:56] - Monsters hired Todd McLellan for 5 000 000 $ for 5 year(s).
[2019-07-31 15:25:49] - Monsters fired Randy Ladouceur.
[2019-07-28 16:46:32] - TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Travis Hamonic (73).
[2019-07-28 16:45:13] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Jack Campbell (77).
[2019-07-28 16:39:58] - TRADE : From Columbus Blue Jackets to Phoenix Coyotes : Mike Sislo (58).



[2020-01-21 07:52:06] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-01-20 07:41:43] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-01-18 09:23:44] Marco Scandella from Columbus Blue Jackets is back from Strained Left Elbow Injury.
[2020-01-14 05:09:59] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2020-01-14 05:09:59] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2020-01-11 10:11:02] Game 700 - Marco Scandella from Columbus Blue Jackets is injured (Strained Left Elbow) and is out for 1 week.
[2020-01-11 10:09:03] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-01-10 08:04:38] Matt Dumba from Columbus Blue Jackets is back from Head Injury.
[2020-01-05 05:09:49] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-01-04 05:17:29] TRADE : From Montreal Canadiens to Columbus Blue Jackets : Y:17-RND:3-Dal, Y:15-RND:6-MTL.
[2020-01-04 05:17:29] TRADE : From Columbus Blue Jackets to Montreal Canadiens : Jake Evans (61).
[2020-01-04 05:14:47] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2020-01-04 05:14:47] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2020-01-02 11:03:56] Game 627 - Matt Dumba from Columbus Blue Jackets is injured (Head) and is out for 1 week.
[2019-12-31 11:33:16] Last 7 Days Farm Star : 1 - Marcus Hogberg of Monsters (0,969) / 2 - Dan DeSalvo of Rocket (4-4-8) / 3 - Oscar Lindberg of Monsters (4-5-9)
[2019-12-28 16:32:34] Nikita Soshnikov from Monsters has scored a Hat Trick!
[2019-12-28 16:30:58] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-12-28 16:30:58] Casey Mittelstadt of Columbus Blue Jackets was sent down to farm.
[2019-12-27 07:42:16] Columbus Blue Jackets are expected to be over the salary cap by 30 111 $!
[2019-12-27 07:40:53] Jonathan Drouin from Columbus Blue Jackets has scored a Hat Trick!
[2019-12-27 07:38:04] David Pastrnak from Columbus Blue Jackets is back from Left Foot Injury.
[2019-12-27 07:38:01] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-12-21 11:20:35] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-12-20 13:36:36] Mike Matheson from Columbus Blue Jackets is back from Strained Back Injury.
[2019-12-19 07:53:36] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.0
[2019-12-19 07:53:36] Casey Mittelstadt of Columbus Blue Jackets was sent to pro.
[2019-12-17 08:52:28] Game 529 - David Pastrnak from Columbus Blue Jackets is injured (Left Foot) and is out for 1 week.



Pas de Blessure ou de Suspension.


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
14512517024121481192927121101201766313241360121172561662148272420064851463149246851049724140137549011582064220.39%1933084.46%4926178251.96%868172450.35%36872450.83%12288501214378642320
Total Saison Régulière512517024121481192927121101201766313241360121172561662148272420064851463149246851049724140137549011582064220.39%1933084.46%4926178251.96%868172450.35%36872450.83%12288501214378642320