Columbus Blue Jackets

GP: 82 | W: 45 | L: 28 | OTL: 9 | P: 99
GF: 239 | GA: 205 | PP%: 18.69% | PK%: 83.54%
DG: Patrick Auger | Morale : 58 | Moyenne d'Équipe : 72
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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-HopkinsXX100.006438837971869577828078817971698778750
2Chris Kreider (C)X100.008443718087839276567477597875806978730
3Zach Hyman (A)XX100.008054747379838471747272886973715279730
4Phillip DanaultX100.007645797477869473867867856971697679730
5David PastrnakX100.006439828473847982558386588465678168730
6Evgenii Dadonov (A)XX100.005636927769849576528079637680745278720
7Jonathan DrouinXXX100.006238848373829482767871598267698678720
8Alex GalchenyukXXX100.006340847879808577717573527669718678700
9Dylan StromeX100.005337867483819273797772637463658978700
10Colin WhiteXX100.005638847371818471807467657263648278680
11Matt NietoXX100.005936906670757765536864836573686178670
12Oskar LindblomXX100.006937876776759465536667646365675678660
13Ian ColeX100.008168596481858463307359885178706669730
14Nate SchmidtX100.005936907376887472307967845675693666720
15Matt DumbaX100.008347807871905077308076756869668424710
16Mike MathesonX100.006441736879898867307469785669667873710
17Marco ScandellaX100.007239816585837663307164775277705754700
18Dan HamhuisX100.006840816278817361307254774887773861690
Rayé
1Madison BoweyX100.007754736280796361307354665267656837650
MOYENNE D'ÉQUIPE100.00684281737783837154756972677169696971
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 Holtby100.00939593839291939291939278845028870
2Carter Hart (R)100.00848886778382848382848361657573790
Rayé
MOYENNE D'ÉQUIPE100.0089929080888789888789887075635183
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/LW8234367010240892312877117411.85%26165220.161117286730300051455252.39%209200010.8525000347
2Phillip DanaultColumbus Blue JacketsC82293059185151512792306918912.61%24173821.201091959268202113274252.50%239800110.6802100653
3Nate SchmidtColumbus Blue JacketsD798505820802810913047756.15%91189223.9671724862870222261020.00%000000.6100000123
4David PastrnakColumbus Blue JacketsRW78223658820010097239591749.21%4138017.707101758247000006232.69%10400010.8425000560
5Evgenii DadonovColumbus Blue JacketsLW/RW82262955120021822195115311.87%4146617.888132149289000008142.31%10400000.7501000446
6Matt DumbaColumbus Blue JacketsD70113849218351678413553918.15%62149221.31581373257000037120.00%000000.6600010232
7Jonathan DrouinColumbus Blue JacketsC/LW/RW82162945022059100218521417.34%6140417.134111557272000002049.45%9100010.6404000221
8Chris KreiderColumbus Blue JacketsLW8218254311900249791575312711.46%5143317.485101542272000036035.44%7900010.6001000514
9Ian ColeColumbus Blue JacketsD80535401212620285865316319.43%113164020.5115613720440224010.00%000000.4900112355
10Zach HymanColumbus Blue JacketsLW/RW82141832611515180141168571508.33%18126315.4100011123152902246.00%10000000.5100102343
11Alex GalchenyukColumbus Blue JacketsC/LW/RW8215132801803678115288713.04%3117114.2904486810121003038.22%15700000.4800000022
12Mike MathesonColumbus Blue JacketsD6652328-124064627623496.58%52137120.792911462100000125000.00%000000.4100000012
13Dylan StromeColumbus Blue JacketsC82917261201112212132797.44%7102112.46000020000331053.36%116200000.5100000012
14Marco ScandellaColumbus Blue JacketsD7822123-2560106546419433.12%84152319.53189412260111220000.00%000000.3000000103
15Dan HamhuisColumbus Blue JacketsD8221517-1328099662915256.90%90135316.510003350000206000.00%000000.2500000101
16Colin WhiteColumbus Blue JacketsC/RW8267133115266255153310.91%25136.2610115000001246.99%53200000.5100001010
17Oskar LindblomColumbus Blue JacketsC/LW828412-322061254653217.39%35406.59000021013391127.27%3300000.4400000020
18Matt NietoColumbus Blue JacketsLW/RW82461004024515717497.02%126267.640000000021510054.84%3100000.3200000000
19Madison BoweyColumbus Blue JacketsD51257259510225205510.00%4382816.24101983000037200.00%000000.1700001000
20Casey MittelstadtMonsters (Clb)C4011-200002010.00%0225.5900000000000047.83%2300000.8900000000
Stats d'équipe Total ou en Moyenne14902364386741037635518581833242168717089.75%6492433916.346312118461329075914412206421750.96%690600150.55418326364344
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 Jackets74412650.9112.4641728717119160210.85714739733
2Carter HartColumbus Blue Jackets184240.9182.3078400303670100.2005973000
Stats d'équipe Total ou en Moyenne92452890.9122.4349578720122830310.684198282733


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$0$No2,330,000$2,330,000$2,330,000$Lien
Braden HoltbyColumbus Blue JacketsG291989-09-16No211 Lbs6 ft2NoNoNo3Pro & Farm5,000,000$5,000,000$0$No5,000,000$5,000,000$Lien
Carter HartColumbus Blue JacketsG201998-08-13Yes181 Lbs6 ft2NoNoNo4Pro & Farm500,000$500,000$0$No500,000$500,000$500,000$Lien
Chris KreiderColumbus Blue JacketsLW281991-04-30No220 Lbs6 ft3NoNoNo1Pro & Farm3,500,000$3,500,000$0$NoLien
Colin WhiteColumbus Blue JacketsC/RW221997-01-30No183 Lbs6 ft0NoNoNo3Pro & Farm900,000$900,000$0$No900,000$900,000$Lien
Dan HamhuisColumbus Blue JacketsD361982-12-13No204 Lbs6 ft1NoNoNo2Pro & Farm2,000,111$2,000,111$0$No2,000,111$Lien
David PastrnakColumbus Blue JacketsRW231996-05-25No194 Lbs6 ft0NoNoNo2Pro & Farm3,500,000$3,500,000$0$No3,500,000$Lien
Dylan StromeColumbus Blue JacketsC221997-03-07No200 Lbs6 ft3NoNoNo3Pro & Farm900,000$900,000$0$No900,000$900,000$Lien
Evgenii DadonovColumbus Blue JacketsLW/RW301989-03-12No185 Lbs5 ft11NoNoNo4Pro & Farm4,500,000$4,500,000$0$No4,500,000$4,500,000$4,500,000$Lien
Ian ColeColumbus Blue JacketsD301989-02-21No219 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$2,500,000$0$NoLien
Jonathan DrouinColumbus Blue JacketsC/LW/RW241995-03-28No193 Lbs6 ft0NoNoNo4Pro & Farm2,500,000$2,500,000$0$No2,500,000$2,500,000$2,500,000$Lien
Madison BoweyColumbus Blue JacketsD241995-04-22No198 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$No500,000$Lien
Marco ScandellaColumbus Blue JacketsD291990-02-23No210 Lbs6 ft3NoNoNo1Pro & Farm2,500,000$2,500,000$0$NoLien
Matt DumbaColumbus Blue JacketsD241994-07-25No182 Lbs6 ft0NoNoNo3Pro & Farm3,500,000$3,500,000$0$No3,500,000$3,500,000$Lien
Matt NietoColumbus Blue JacketsLW/RW261992-11-05No190 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$No500,000$Lien
Mike MathesonColumbus Blue JacketsD251994-02-27No193 Lbs6 ft2NoNoNo4Pro & Farm2,500,000$2,500,000$0$No2,500,000$2,500,000$2,500,000$Lien
Nate SchmidtColumbus Blue JacketsD271991-07-16No194 Lbs6 ft1NoNoNo2Pro & Farm2,500,000$2,500,000$0$No2,500,000$Lien
Oskar LindblomColumbus Blue JacketsC/LW221996-08-15No191 Lbs6 ft1NoNoNo3Pro & Farm500,000$500,000$0$No500,000$500,000$Lien
Phillip DanaultColumbus Blue JacketsC261993-02-24No198 Lbs6 ft1NoNoNo3Pro & Farm2,500,000$2,500,000$0$No2,500,000$2,500,000$Lien
Ryan Nugent-HopkinsColumbus Blue JacketsC/LW261993-04-12No184 Lbs6 ft0NoNoNo1Pro & Farm2,500,000$2,500,000$0$NoLien
Zach HymanColumbus Blue JacketsLW/RW271992-06-09No209 Lbs6 ft1NoNoNo4Pro & Farm3,500,000$3,500,000$0$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-HopkinsEvgenii Dadonov35113
2Chris KreiderPhillip DanaultDavid Pastrnak35113
3Zach HymanDylan StromeAlex Galchenyuk23122
4Oskar LindblomColin WhiteMatt Nieto7122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt37122
2Ian ColeMike Matheson33122
3Marco ScandellaDan Hamhuis23131
4Matt DumbaNate Schmidt7023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgenii DadonovRyan Nugent-HopkinsDavid Pastrnak65005
2Chris KreiderPhillip DanaultJonathan Drouin35005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt60014
2Mike MathesonMarco Scandella40113
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 ColeMarco Scandella55140
2Dan HamhuisNate Schmidt45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Hyman60140Ian ColeMarco Scandella55140
2Phillip Danault40140Dan HamhuisNate Schmidt45140
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 ColeMike Matheson45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgenii DadonovRyan Nugent-HopkinsDavid PastrnakMatt 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
Ian Cole, Nate Schmidt, Matt DumbaIan ColeMike Matheson, Matt Dumba
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%11483286451.78%1427278151.31%609119451.01%493446132412
2Boston Bruins32100000660110000003212110000034-140.667612180022207624252709720326610110.00%13376.92%01483286451.78%1427278151.31%609119451.01%684674223717
3Buffalo Sabres32100000972110000002022110000077040.66791524015310852928280982634671218.33%17288.24%01483286451.78%1427278151.31%609119451.01%684574223718
4Calgary Flames210000101064110000005231000001054141.000101727004231551821145601318589333.33%8187.50%01483286451.78%1427278151.31%609119451.01%473150152714
5Carolina Hurricanes42100100880210001004402110000044050.625816240012509930264309618327316425.00%15473.33%01483286451.78%1427278151.31%609119451.01%997089315226
6Chicago Blackhawks21100000752110000005051010000025-320.50071219011420591229180481412461119.09%6183.33%01483286451.78%1427278151.31%609119451.01%523742132412
7Colorado Avalanche2020000058-31010000034-11010000024-200.000510150022105918162506415414012216.67%10280.00%01483286451.78%1427278151.31%609119451.01%453150152412
8Dallas Stars211000006601010000012-11100000054120.50061117004200411219100581924443133.33%10370.00%01483286451.78%1427278151.31%609119451.01%432952152411
9Detroit Red Wings321000001073211000006511100000042240.667101828005230853028270691837641317.69%14285.71%01483286451.78%1427278151.31%609119451.01%745268233618
10Edmonton Oilers21000001633110000004041000000123-130.750611170122215917152573910124910220.00%60100.00%01483286451.78%1427278151.31%609119451.01%513546162713
11Florida Panthers311001001082211000008531000010023-130.5001019290018108421313026718267312325.00%110100.00%01483286451.78%1427278151.31%609119451.01%714871223819
12Los Angeles Kings21100000752110000005231010000023-120.50071421003310652719190552218495240.00%6183.33%01483286451.78%1427278151.31%609119451.01%453149132412
13Minnesota Wild2010100056-11010000013-21000100043120.50051015102111592319152652216458112.50%7185.71%01483286451.78%1427278151.31%609119451.01%463150152513
14Montreal Canadiens32000010817110000003032100001051461.000813210251119839253079121284815426.67%14192.86%11483286451.78%1427278151.31%609119451.01%755271223719
15Nashville Predators2110000045-1110000003121010000014-320.50048120021106721242205517125211218.18%6183.33%01483286451.78%1427278151.31%609119451.01%533743132312
16New Jersey Devils41200100914-52010010069-32110000035-230.37591524015220113324536013436338718211.11%14285.71%01483286451.78%1427278151.31%609119451.01%9061101294824
17New York Islanders412001001112-12020000057-22100010065130.37511182900452011034443119829398916318.75%12375.00%11483286451.78%1427278151.31%609119451.01%956696295025
18New York Rangers4210010013130211000007702100010066050.62513223500436011736423901234036961516.67%16475.00%11483286451.78%1427278151.31%609119451.01%976793294924
19Ottawa Senators32100000963220000009451010000002-240.667918270062101033727390692122708337.50%9277.78%01483286451.78%1427278151.31%609119451.01%755266213819
20Philadelphia Flyers421000011091211000004402100000165150.62510203000424011935275549733378419315.79%16381.25%01483286451.78%1427278151.31%609119451.01%1007194284925
21Phoenix Coyotes201010004401010000012-11000100032120.5004812001111721827252611424449111.11%7185.71%01483286451.78%1427278151.31%609119451.01%543944142412
22Pittsburgh Penguins40200011812-42010000158-32010001034-130.375813210003411224337351213326261021516.67%12375.00%01483286451.78%1427278151.31%609119451.01%9767100315224
23San Jose Sharks22000000633110000003121100000032141.000612180023106517331503711164712433.33%80100.00%01483286451.78%1427278151.31%609119451.01%523742152512
24St. Louis Blues20101000990100010005411010000045-120.50091827004221522017123621625549333.33%10370.00%01483286451.78%1427278151.31%609119451.01%503444142512
25Tampa Bay Lightning321000001192220000009451010000025-340.6671120310055109120304106323285716425.00%13376.92%01483286451.78%1427278151.31%609119451.01%835959203720
26Toronto Maple Leafs3210000089-11010000014-32200000075240.66781523002330782829210973520707228.57%10190.00%01483286451.78%1427278151.31%609119451.01%664376213717
Total82392803633239205344120160130112097234119120233211910811990.604239435674178584647241476682080145228463276718373376318.69%3225383.54%51483286451.78%1427278151.31%609119451.01%1992138019466051026513
28Vancouver Canucks211000004401010000001-11100000043120.500459001300592523110691216388225.00%8187.50%01483286451.78%1427278151.31%609119451.01%483450132110
29Vegas Golden Knights22000000835110000004221100000041341.0008152300134079263023049191837600.00%8275.00%11483286451.78%1427278151.31%609119451.01%493444152513
30Washington Capitals42100100111012010010026-42200000094550.62511182900452010933383801323449106900.00%21290.48%01483286451.78%1427278151.31%609119451.01%8759105274723
31Winnipeg Jets211000006241010000012-11100000050520.500611170103307024242204410123312216.67%50100.00%01483286451.78%1427278151.31%609119451.01%493446142412
_Since Last GM Reset82392803633239205344120160130112097234119120233211910811990.604239435674178584647241476682080145228463276718373376318.69%3225383.54%51483286451.78%1427278151.31%609119451.01%1992138019466051026513
_Vs Conference52251700622141131102612100030174695261370032167625620.596141252393045348382148947148252026146439847911522013316.42%2073583.09%31483286451.78%1427278151.31%609119451.01%12508641243384652325
_Vs Division281010005127078-81437003013345-1214730021137334290.51870122192012222251789243259277178132162526371081412.96%1062180.19%21483286451.78%1427278151.31%609119451.01%668463681206350174

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8299L123943567424142284632767183717
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8239283633239205
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412016130112097
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4119122332119108
Derniers 10 Matchs
WLOTWOTL SOWSOL
440200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3376318.69%3225383.54%5
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
766820801458584647
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
1483286451.78%1427278151.31%609119451.01%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1992138019466051026513


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 Jackets4Buffalo Sabres2WSommaire du Match
124 - 2020-01-03807Columbus Blue Jackets2Montreal Canadiens1WXXSommaire du Match
126 - 2020-01-05818Florida Panthers1Columbus Blue Jackets5WSommaire du Match
129 - 2020-01-08841Detroit Red Wings2Columbus Blue Jackets4WSommaire du Match
130 - 2020-01-09851Colorado Avalanche4Columbus Blue Jackets3LR3Sommaire du Match
132 - 2020-01-11863Tampa Bay Lightning2Columbus Blue Jackets3WSommaire du Match
135 - 2020-01-14880Columbus Blue Jackets3Buffalo Sabres5LSommaire du Match
136 - 2020-01-15893New York Rangers3Columbus Blue Jackets5WSommaire du Match
138 - 2020-01-17912Columbus Blue Jackets1New Jersey Devils5LSommaire du Match
140 - 2020-01-19920Columbus Blue Jackets4Philadelphia Flyers2WSommaire du Match
142 - 2020-01-21936Philadelphia Flyers2Columbus Blue Jackets3WSommaire du Match
144 - 2020-01-23955Columbus Blue Jackets1Nashville Predators4LSommaire du Match
146 - 2020-01-25967Ottawa Senators2Columbus Blue Jackets4WSommaire du Match
147 - 2020-01-26978Columbus Blue Jackets4Minnesota Wild3WXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29995Minnesota Wild3Columbus Blue Jackets1LSommaire du Match
152 - 2020-01-311013Vancouver Canucks1Columbus Blue Jackets0LSommaire du Match
155 - 2020-02-031030Columbus Blue Jackets5Calgary Flames4WXXSommaire du Match
158 - 2020-02-061058Columbus Blue Jackets2Edmonton Oilers3LXXSommaire du Match
159 - 2020-02-071064Columbus Blue Jackets4Vancouver Canucks3WSommaire du Match
163 - 2020-02-111088Pittsburgh Penguins4Columbus Blue Jackets2LSommaire du Match
165 - 2020-02-131105Nashville Predators1Columbus Blue Jackets3WSommaire du Match
167 - 2020-02-151118Columbus Blue Jackets0Boston Bruins2LSommaire du Match
170 - 2020-02-181141Washington Capitals3Columbus Blue Jackets2LXSommaire du Match
172 - 2020-02-201155Columbus Blue Jackets3Toronto Maple Leafs2WSommaire du Match
174 - 2020-02-221171Columbus Blue Jackets2New Jersey Devils0WSommaire du Match
175 - 2020-02-231178Columbus Blue Jackets3New York Rangers4LXSommaire du Match
178 - 2020-02-261199Columbus Blue Jackets2Tampa Bay Lightning5LSommaire du Match
179 - 2020-02-271212Columbus Blue Jackets5Dallas Stars4WSommaire du Match
181 - 2020-02-291226New York Islanders4Columbus Blue Jackets3LSommaire du Match
184 - 2020-03-031249Tampa Bay Lightning2Columbus Blue Jackets6WSommaire du Match
185 - 2020-03-041255Columbus Blue Jackets2Carolina Hurricanes3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance232,379198,00277,467155,84838,828
Attendance PCT94.46%96.59%94.47%95.03%94.70%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17135 - 95.19% 605,929$24,843,078$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
48,740,188$ 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$ 47,689,441$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 268,075$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 49,130,111$ 145,468,407$ 145,468,407$



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
Alexei LipanovColumbus Blue Jackets1380
Bulat ShafigullinColumbus Blue Jackets14105
Cole HultsColumbus Blue Jackets13166
Filip WesterlundColumbus Blue Jackets13109
Jake LeschyshynColumbus Blue Jackets1395
Jonny TychonickColumbus Blue Jackets1474
Kasper BjorkqvistColumbus Blue Jackets12121
Leon GawankeColumbus Blue Jackets13171
Marian GaborikColumbus Blue Jackets
Olivier ArchambaultColumbus Blue Jackets
Ty SmithColumbus Blue Jackets1413

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



[2020-03-27 09:33:04] - Zack Stortini has been deleted from Columbus Blue Jackets.
[2020-03-27 09:33:01] - Zach O'Brien has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:58] - Ville Pokka has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:54] - Tim Bozon has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:51] - Stephen MacAulay has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:48] - Robin Norell has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:46] - Quinton Howden has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:43] - Nick Tarnasky has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:41] - Mike Weber has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:36] - Mike Brown has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:33] - Matt Buckles has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:29] - Marcus Högberg has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:26] - Lauri Korpikoski has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:22] - Joshua Winquist has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:17] - John Negrin has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:15] - Jeff Malcolm has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:12] - Evgeni Dadonov has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:09] - Daniel Catenacci has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:06] - Cody Kunyk has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:02] - Chris Kelly has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:59] - Cal Heeter has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:55] - Brandon Alderson has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:52] - Akim Aliu has been deleted from Columbus Blue Jackets.
[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.



[2020-04-02 07:57:10] Phillip Danault from Columbus Blue Jackets has scored a Hat Trick!
[2020-04-02 07:56:49] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-03-28 09:02:28] Chris Kreider from Columbus Blue Jackets has scored a Hat Trick!
[2020-03-27 09:33:04] Zack Stortini has been deleted from Columbus Blue Jackets.
[2020-03-27 09:33:01] Zach O'Brien has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:58] Ville Pokka has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:54] Tim Bozon has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:51] Stephen MacAulay has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:48] Robin Norell has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:46] Quinton Howden has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:43] Nick Tarnasky has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:41] Mike Weber has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:36] Mike Brown has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:33] Matt Buckles has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:29] Marcus Högberg has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:26] Lauri Korpikoski has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:22] Joshua Winquist has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:17] John Negrin has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:15] Jeff Malcolm has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:12] Evgeni Dadonov has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:09] Daniel Catenacci has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:06] Cody Kunyk has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:02] Chris Kelly has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:59] Cal Heeter has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:55] Brandon Alderson has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:52] Akim Aliu has been deleted from Columbus Blue Jackets.
[2020-03-25 05:28:32] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-03-22 08:19:14] Nate Schmidt from Columbus Blue Jackets is back from Lower Body Injury.
[2020-03-22 08:19:12] Casey Mittelstadt from Monsters has scored a Hat Trick!
[2020-03-20 10:25:21] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.1.1
[2020-03-19 10:50:26] Game 1141 - Nate Schmidt from Columbus Blue Jackets is injured (Lower Body) and is out for 1 week.
[2020-03-18 10:56:51] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.1.1



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
148239280363323920534412016013011209723411912023321191081199239435674178584647241476682080145228463276718373376318.69%3225383.54%51483286451.78%1427278151.31%609119451.01%1992138019466051026513
Total Saison Régulière8239280363323920534412016013011209723411912023321191081199239435674178584647241476682080145228463276718373376318.69%3225383.54%51483286451.78%1427278151.31%609119451.01%1992138019466051026513