Columbus Blue Jackets

GP: 82 | W: 43 | L: 33 | OTL: 6 | P: 92
GF: 252 | GA: 244 | PP%: 21.94% | PK%: 81.75%
DG: Patrick Auger | Morale : 62 | Moyenne d'Équipe : N/A
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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
1Alex GalchenyukXX100.0064508594818686847688837050797616900
2Chris KreiderX100.0091507894908687835283907150787716800
3Marian Gaborik (C)XX100.0056508691888171785078757250919217400
4Valtteri FilppulaX100.0068508682868789788585758650858516100
5Brad Richardson (A)XXX100.0084507677718375679370747750857715900
6Matt NietoXX100.0060509583718175675060627650756717700
7Nick CousinsXX100.0077507975705969705271686150575817700
8Lauri KorpikoskiXX100.0059509381836183665072627650857717100
9Phillip DanaultXX100.0070506583848383819083749150736814600
10Ryan DzingelXXX100.0069508588748089795078756750706718000
11David PastrnakXX100.0078508394799381955590958153767416800
12Jonathan DrouinXX100.0060508996799375935187867575757316300
13Andrej SekeraX100.0076509391848898862578718950767713300
14Ian ColeX100.0096507977878689812572638850827616600
15Matt DumbaX100.0086508093828795872576748350767316900
16Nick Holden (A)X100.0096508785898798832575739350838317300
17Mattias EkholmX100.0074508888909499832571649550807717100
18Travis HamonicX100.0081507688868680792564648950817912800
Rayé
MOYENNE D'ÉQUIPE100.007550848782838580507774805278751640
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 Holtby100.009897979597999799979891868818100
2Ryan Miller99.008990918789907283828591969616500
Rayé
MOYENNE D'ÉQUIPE99.50949494919395859190929191921730
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley88918793999993CAN551500,000$


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
1David PastrnakColumbus Blue JacketsLW/RW793839779440172163339176011.21%20175322.19119207727301151795337.86%20600200.8825000576
2Valtteri FilppulaColumbus Blue JacketsC80254267-1123539201232163810.78%32169621.211210226725201162025354.02%233800010.7902001324
3Jonathan DrouinColumbus Blue JacketsLW/RW8123426571403012728311558.13%3152818.863151861271000182232.65%14700000.8515000243
4Andrej SekeraColumbus Blue JacketsD77174764-24555100116164122510.37%134193025.08111728932690004241100.00%000000.6611100313
5Phillip DanaultColumbus Blue JacketsC/LW763232641935510520018092817.78%9145319.13107174522910121846351.78%170900000.8800010616
6Alex GalchenyukColumbus Blue JacketsC/LW7921406192155413621714289.68%11160420.3141216422490003865049.81%131900000.7612010161
7Chris KreiderColumbus Blue JacketsLW8023345764202298524420459.43%4145018.1431518502440000284148.25%11400000.7904000444
8Mattias EkholmColumbus Blue JacketsD82203656-916045101150142213.33%128189723.14141024732530004227120.00%000000.5900000144
9Matt DumbaColumbus Blue JacketsD8084048-1859151438415313195.23%81167820.994192387275000079100.00%000000.5700111121
10Nick HoldenColumbus Blue JacketsD7783240-17001778411210197.14%104174622.6811415572351013204110.00%000100.4600000113
11Travis HamonicColumbus Blue JacketsD8116163235751417111461214.04%81140217.327512561560000161100.00%000000.4600010151
12Ian ColeColumbus Blue JacketsD6762329958011554627119.68%70104815.650001243000178000.00%000000.5500000102
13Marian GaborikColumbus Blue JacketsLW/RW7681321-10078113010306.15%6103613.640118108000010148.28%8700000.4112000102
14Ryan DzingelColumbus Blue JacketsC/LW/RW8291221-161915318113010266.92%8101312.36134761000000136.48%47700000.4100111011
15Brad RichardsonColumbus Blue JacketsC/LW/RW824913-7655137123877194.60%4115414.0800011900052231152.72%88200000.2301010010
16Lauri KorpikoskiColumbus Blue JacketsC/LW806713-23161088983597.23%1588811.102247470004660037.62%50500000.2900002020
17Nick CousinsColumbus Blue JacketsC/LW76538-123156723332515.15%46047.9500000000040033.68%28800000.2600100001
18Matt NietoColumbus Blue JacketsLW/RW79246-175574751593.92%186428.130000100041301025.00%4000000.1900001000
19Chris KellySpringfield Falcons (Clb)C/LW29235-170034232016.25%634611.96000250000100035.62%30600000.2911000000
20Oscar LindbergSpringfield Falcons (Clb)C39235-7120442828207.14%32596.6500000000000054.24%27100000.3901000001
21Brendan LeipsicSpringfield Falcons (Clb)C/LW32213-675510110018.18%01915.9900001000001038.71%6200000.3101100010
Stats d'équipe Total ou en Moyenne1514277478755-107649851659194628351904619.77%7412532716.73831392227452998224422118351848.50%875100310.60725566304243
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 Jackets59341840.9182.4134426213816870310.905215626571
2Ryan MillerColumbus Blue Jackets60312440.9052.7035164615816630020.765175819733
3Jacob MarkstromSpringfield Falcons (Clb)155600.8883.6173121443940000.00001250100
4Eamon McAdamSpringfield Falcons (Clb)10001.0000.0029000180000.000005000
Stats d'équipe Total ou en Moyenne135704880.9102.64772012934037620330.8423812610013104


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire 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
Alex GalchenyukColumbus Blue JacketsC/LW221994-02-11No198 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm2,690,000$2,690,000$0$No2,690,000$
Andrej SekeraColumbus Blue JacketsD301986-06-07No201 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm4,785,001$4,785,001$0$No4,785,001$4,785,001$
Brad RichardsonColumbus Blue JacketsC/LW/RW311985-02-03No197 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm2,200,000$2,200,000$0$No2,200,000$
Braden HoltbyColumbus Blue JacketsG271989-09-16No217 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm6,500,000$6,500,000$0$No6,500,000$
Chris KreiderColumbus Blue JacketsLW251991-04-29No226 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$0$No
David PastrnakColumbus Blue JacketsLW/RW201996-05-25No167 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$0$No900,000$
Ian ColeColumbus Blue JacketsD271989-02-21No219 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$0$No2,500,000$2,500,000$
Jonathan DrouinColumbus Blue JacketsLW/RW211995-03-28No186 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$0$No900,000$
Lauri KorpikoskiColumbus Blue JacketsC/LW301986-07-27No205 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm976,882$976,882$0$No976,882$
Marian GaborikColumbus Blue JacketsLW/RW341982-02-13No204 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$0$No
Matt DumbaColumbus Blue JacketsD221994-07-24No189 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm300,000$300,000$0$No
Matt NietoColumbus Blue JacketsLW/RW241992-11-05No190 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Mattias EkholmColumbus Blue JacketsD261990-05-23No204 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$0$No
Nick CousinsColumbus Blue JacketsC/LW231993-07-19No169 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Nick HoldenColumbus Blue JacketsD291987-05-14No210 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$0$No
Phillip DanaultColumbus Blue JacketsC/LW231993-02-24No201 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$900,000$0$No900,000$
Ryan DzingelColumbus Blue JacketsC/LW/RW241992-03-09No188 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Ryan MillerColumbus Blue JacketsG361980-07-17No168 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm8,500,000$8,500,000$0$No8,500,000$8,500,000$8,500,000$
Travis HamonicColumbus Blue JacketsD261990-08-16No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$0$No
Valtteri FilppulaColumbus Blue JacketsC321984-03-20No193 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm3,222,000$3,222,000$0$No3,222,000$3,222,000$3,222,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2026.60197 Lbs6 ft11.852,338,694$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
46,773,883$34,073,883$19,007,001$11,722,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex GalchenyukPhillip DanaultDavid Pastrnak34023
2Chris KreiderValtteri FilppulaJonathan Drouin30122
3Marian GaborikBrad RichardsonRyan Dzingel25122
4Lauri KorpikoskiNick CousinsMatt Nieto11131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraMatt Dumba32131
2Nick HoldenMattias Ekholm32131
3Travis HamonicIan Cole25131
4Andrej SekeraMattias Ekholm11131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris KreiderAlex GalchenyukDavid Pastrnak60104
2Phillip DanaultValtteri FilppulaJonathan Drouin40104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraMatt Dumba60113
2Nick HoldenMattias Ekholm40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brad RichardsonMatt Nieto60131
2Phillip DanaultLauri Korpikoski40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmNick Holden60140
2Ian ColeTravis Hamonic40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brad Richardson60140Mattias EkholmNick Holden60140
2Phillip Danault40140Ian ColeTravis Hamonic40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Valtteri FilppulaChris Kreider60122
2Phillip DanaultDavid Pastrnak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraMatt Dumba60122
2Nick HoldenMattias Ekholm40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris KreiderAlex GalchenyukDavid PastrnakAndrej SekeraMatt Dumba
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brad RichardsonPhillip DanaultMatt NietoNick HoldenMattias Ekholm
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Valtteri Filppula, Ryan Dzingel, Brad RichardsonValtteri Filppula, Ryan DzingelBrad Richardson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mattias Ekholm, Matt Dumba, Andrej SekeraMattias EkholmAndrej Sekera, Mattias Ekholm
Tirs de Pénalité
David Pastrnak, Chris Kreider, Jonathan Drouin, Marian Gaborik, Valtteri Filppula
Gardien
#1 : Ryan Miller, #2 : Braden Holtby


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 Ducks311000101091210000108531010000024-240.6671016261024321182848371211137166412433.33%7271.43%01454302048.15%1460283651.48%626125050.08%775370223719
2Boston Bruins3010200012120100010005412010100078-140.6671223350023529028283229629275511218.18%10460.00%01454302048.15%1460283651.48%626125050.08%674675223819
3Buffalo Sabres412000011011-12010000135-22110000076130.37510182800334010833274741483334878225.00%17288.24%01454302048.15%1460283651.48%626125050.08%9061102295126
4Calgary Flames2020000037-41010000012-11010000025-300.00036900300075212826061128367114.29%40100.00%01454302048.15%1460283651.48%626125050.08%493544142512
5Caroline Hurricanes30101001810-21000000134-12010100056-130.5008142200241399323032128429247012325.00%8450.00%01454302048.15%1460283651.48%626125050.08%755172223718
6Chicago Blackhawks22000000936110000005231100000041341.00091726003330561124210691916525360.00%8187.50%01454302048.15%1460283651.48%626125050.08%442949152613
7Colorado Avalanche211000008441010000023-11100000061520.500815230033208021312806221425214535.71%80100.00%01454302048.15%1460283651.48%626125050.08%493546152412
8Dallas Stars320000101293220000007521000001054161.00012213301551191313918711228246010330.00%110100.00%01454302048.15%1460283651.48%626125050.08%684778213718
9Detroit Red Wings320010001156210010005231100000063361.000112132013431783125211712122488112.50%11190.91%01454302048.15%1460283651.48%626125050.08%765267223618
10Edmonton Oilers21000010734100000103211100000041341.0007916002131741927273491419415120.00%4175.00%11454302048.15%1460283651.48%626125050.08%533644162613
11Floride Panthers31200000512-72110000047-31010000015-420.333581300113094353821010625165913215.38%8187.50%01454302048.15%1460283651.48%626125050.08%694771213820
12Los Angeles Kings2200000011011110000007071100000040441.000112132023350712322260461523438112.50%90100.00%01454302048.15%1460283651.48%626125050.08%533841142514
13Minnesota Wild2020000049-51010000025-31010000024-200.0004610002110612216230812216464250.00%8187.50%01454302048.15%1460283651.48%626125050.08%463350122310
14Montreal Canadiens30300000511-61010000023-12020000038-500.00051015002210943739180601722571616.25%11281.82%01454302048.15%1460283651.48%626125050.08%785463223819
15Nashville Predators3210000012751010000012-122000000115640.667122133004350812824290773120589222.22%10280.00%01454302048.15%1460283651.48%626125050.08%664676223617
16New Jersey Devils312000001013-31010000035-22110000078-120.33310192910433011844373709121166619631.58%8275.00%01454302048.15%1460283651.48%626125050.08%765164223920
17New York Islanders320000101156110000002022100001095461.0001117280135219526323647717245314535.71%11190.91%01454302048.15%1460283651.48%626125050.08%755170223920
18New York Rangers412001009902010010046-22110000053230.37591726004320127444538014535557411327.27%19384.21%01454302048.15%1460283651.48%626125050.08%926299294824
19Ottawa Senateurs320010001055210010008531100000020261.0001017270115318331252256017205615320.00%10280.00%01454302048.15%1460283651.48%626125050.08%785363234021
20Philadelphie Flyers503011001017-730101100810-22020000027-530.3001019290013511454844503139486010624312.50%18288.89%01454302048.15%1460283651.48%626125050.08%12590115366231
21Phoenix Coyotes30300000714-72020000037-41010000047-300.00071219002410802234240901629739111.11%12741.67%01454302048.15%1460283651.48%626125050.08%694971213818
22Pittsburgh Penguins31200000811-32110000067-11010000024-220.333814220013409235282901083933765120.00%140100.00%01454302048.15%1460283651.48%626125050.08%634177223918
23San Jose Sharks2110000068-2110000004311010000025-320.50061016003300892835260621963110220.00%3233.33%01454302048.15%1460283651.48%626125050.08%574136142613
24St-Louis Blues21001000752110000004311000100032141.0007132000114165171927274211232700.00%5180.00%01454302048.15%1460283651.48%626125050.08%513846132412
25Tampa Bay Lightning3210000011101211000007701100000043140.6671117280064108225273008124165813323.08%8187.50%01454302048.15%1460283651.48%626125050.08%775464213819
26Toronto Maple Leafs32000100963110000002022100010076150.8339162501225011940304725718107712216.67%50100.00%01454302048.15%1460283651.48%626125050.08%805761214122
Total823133084422522448411615042221211138411518042201311310920.5612524476992781847515262985488985161248071366916653106821.94%2745081.75%21454302048.15%1460283651.48%626125050.08%2010139719215991040525
28Vancouver Canucks30200100713-61010000034-12010010049-510.167713200052009136262811023239505120.00%17664.71%11454302048.15%1460283651.48%626125050.08%684775213618
29Washington Capitals3110100012120110000005412010100078-140.667122335004341112393634310037124113215.38%6266.67%01454302048.15%1460283651.48%626125050.08%755371213519
30Winnipeg Jets22000000844110000004131100000043141.00081422004310611925170611684411327.27%40100.00%01454302048.15%1460283651.48%626125050.08%493445132412
_Since Last GM Reset823133084422522448411615042221211138411518042201311310920.5612524476992781847515262985488985161248071366916653106821.94%2745081.75%21454302048.15%1460283651.48%626125050.08%2010139719215991040525
_Vs Conference49162007312141149-82488042026769-225812031107480-6530.541141253394143948461015365284914943614234103919831943920.10%1642783.54%01454302048.15%1460283651.48%626125050.08%12038301142360626318
_Vs Division24611032116877-91134012013136-51337020103741-4230.4796812319111192421678826825225622744226224486982323.47%841483.33%01454302048.15%1460283651.48%626125050.08%583402571177302152

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8292W125244769926292480713669166527
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8231338442252244
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116154222121113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4115184220131131
Derniers 10 Matchs
WLOTWOTL SOWSOL
331120
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3106821.94%2745081.75%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
8548898516181847515
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
1454302048.15%1460283651.48%626125050.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2010139719215991040525


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2017-10-0110Phoenix Coyotes4Columbus Blue Jackets1LSommaire du Match
2 - 2017-10-0215Columbus Blue Jackets5Buffalo Sabres1WSommaire du Match
5 - 2017-10-0543Philadelphie Flyers2Columbus Blue Jackets3WXSommaire du Match
8 - 2017-10-0862Columbus Blue Jackets2Boston Bruins4LSommaire du Match
10 - 2017-10-1073Dallas Stars0Columbus Blue Jackets1WSommaire du Match
13 - 2017-10-1392Columbus Blue Jackets4New York Islanders3WXXSommaire du Match
14 - 2017-10-14106Philadelphie Flyers4Columbus Blue Jackets3LXSommaire du Match
16 - 2017-10-16125Tampa Bay Lightning4Columbus Blue Jackets5WSommaire du Match
18 - 2017-10-18141Columbus Blue Jackets3Toronto Maple Leafs4LXSommaire du Match
19 - 2017-10-19149Columbus Blue Jackets5Nashville Predators1WSommaire du Match
21 - 2017-10-21167Ottawa Senateurs2Columbus Blue Jackets4WSommaire du Match
23 - 2017-10-23175Columbus Blue Jackets2Montreal Canadiens4LSommaire du Match
25 - 2017-10-25192Detroit Red Wings0Columbus Blue Jackets2WSommaire du Match
26 - 2017-10-26205Columbus Blue Jackets0New York Rangers1LSommaire du Match
29 - 2017-10-29217Columbus Blue Jackets1Caroline Hurricanes3LSommaire du Match
31 - 2017-10-31229Buffalo Sabres2Columbus Blue Jackets1LSommaire du Match
33 - 2017-11-02247Calgary Flames2Columbus Blue Jackets1LSommaire du Match
34 - 2017-11-03260Columbus Blue Jackets3St-Louis Blues2WXSommaire du Match
36 - 2017-11-05277Columbus Blue Jackets6Nashville Predators4WSommaire du Match
37 - 2017-11-06287Chicago Blackhawks2Columbus Blue Jackets5WSommaire du Match
39 - 2017-11-08307Columbus Blue Jackets2Anaheim Ducks4LSommaire du Match
40 - 2017-11-09316Columbus Blue Jackets4Toronto Maple Leafs2WSommaire du Match
41 - 2017-11-10327Buffalo Sabres3Columbus Blue Jackets2LXXSommaire du Match
44 - 2017-11-13340Columbus Blue Jackets2Pittsburgh Penguins4LSommaire du Match
46 - 2017-11-15347Columbus Blue Jackets1Floride Panthers5LSommaire du Match
48 - 2017-11-17357Detroit Red Wings2Columbus Blue Jackets3WXSommaire du Match
50 - 2017-11-19377Columbus Blue Jackets2Ottawa Senateurs0WSommaire du Match
52 - 2017-11-21387Floride Panthers2Columbus Blue Jackets3WSommaire du Match
53 - 2017-11-22405Columbus Blue Jackets4Caroline Hurricanes3WXSommaire du Match
56 - 2017-11-25415Columbus Blue Jackets4Edmonton Oilers1WSommaire du Match
57 - 2017-11-26420Boston Bruins4Columbus Blue Jackets5WXSommaire du Match
59 - 2017-11-28437Columbus Blue Jackets2Buffalo Sabres5LSommaire du Match
62 - 2017-12-01448Pittsburgh Penguins3Columbus Blue Jackets1LSommaire du Match
65 - 2017-12-04476Toronto Maple Leafs0Columbus Blue Jackets2WSommaire du Match
66 - 2017-12-05490Columbus Blue Jackets2Calgary Flames5LSommaire du Match
67 - 2017-12-06506Colorado Avalanche3Columbus Blue Jackets2LR3Sommaire du Match
68 - 2017-12-07519Columbus Blue Jackets1Philadelphie Flyers3LSommaire du Match
72 - 2017-12-11535Nashville Predators2Columbus Blue Jackets1LSommaire du Match
75 - 2017-12-14553Columbus Blue Jackets1Philadelphie Flyers4LSommaire du Match
76 - 2017-12-15564Dallas Stars5Columbus Blue Jackets6WSommaire du Match
79 - 2017-12-18584Columbus Blue Jackets4Los Angeles Kings0WSommaire du Match
80 - 2017-12-19596Phoenix Coyotes3Columbus Blue Jackets2LSommaire du Match
82 - 2017-12-21617Columbus Blue Jackets6Colorado Avalanche1WR3Sommaire du Match
84 - 2017-12-23625Ottawa Senateurs3Columbus Blue Jackets4WXSommaire du Match
85 - 2017-12-24643Columbus Blue Jackets4Tampa Bay Lightning3WSommaire du Match
87 - 2017-12-26655Columbus Blue Jackets4Chicago Blackhawks1WSommaire du Match
88 - 2017-12-27666Philadelphie Flyers4Columbus Blue Jackets2LSommaire du Match
90 - 2017-12-29684Columbus Blue Jackets2Minnesota Wild4LSommaire du Match
91 - 2017-12-30694San Jose Sharks3Columbus Blue Jackets4WSommaire du Match
94 - 2018-01-02716Montreal Canadiens3Columbus Blue Jackets2LSommaire du Match
95 - 2018-01-03725Columbus Blue Jackets5Dallas Stars4WXXSommaire du Match
98 - 2018-01-06746Washington Capitals4Columbus Blue Jackets5WSommaire du Match
99 - 2018-01-07754Columbus Blue Jackets5New York Islanders2WSommaire du Match
103 - 2018-01-11777Pittsburgh Penguins4Columbus Blue Jackets5WSommaire du Match
106 - 2018-01-14800New York Rangers3Columbus Blue Jackets2LSommaire du Match
113 - 2018-01-21828Los Angeles Kings0Columbus Blue Jackets7WSommaire du Match
115 - 2018-01-23844Columbus Blue Jackets4Phoenix Coyotes7LSommaire du Match
117 - 2018-01-25857Columbus Blue Jackets6Detroit Red Wings3WSommaire du Match
118 - 2018-01-26864New York Islanders0Columbus Blue Jackets2WSommaire du Match
121 - 2018-01-29885Floride Panthers5Columbus Blue Jackets1LSommaire du Match
123 - 2018-01-31902Columbus Blue Jackets5Boston Bruins4WXSommaire du Match
124 - 2018-02-01916Winnipeg Jets1Columbus Blue Jackets4WSommaire du Match
125 - 2018-02-02928Columbus Blue Jackets3Vancouver Canucks4LXSommaire du Match
127 - 2018-02-04943Caroline Hurricanes4Columbus Blue Jackets3LXXSommaire du Match
129 - 2018-02-06958Columbus Blue Jackets3Washington Capitals5LSommaire du Match
130 - 2018-02-07977Minnesota Wild5Columbus Blue Jackets2LSommaire du Match
135 - 2018-02-121000St-Louis Blues3Columbus Blue Jackets4WSommaire du Match
136 - 2018-02-131017Columbus Blue Jackets4Winnipeg Jets3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161031Columbus Blue Jackets1Montreal Canadiens4LSommaire du Match
140 - 2018-02-171043Vancouver Canucks4Columbus Blue Jackets3LSommaire du Match
142 - 2018-02-191054Columbus Blue Jackets1Vancouver Canucks5LSommaire du Match
144 - 2018-02-211068Columbus Blue Jackets3New Jersey Devils5LSommaire du Match
145 - 2018-02-221072New York Rangers3Columbus Blue Jackets2LXSommaire du Match
148 - 2018-02-251098Tampa Bay Lightning3Columbus Blue Jackets2LSommaire du Match
149 - 2018-02-261106Columbus Blue Jackets4Washington Capitals3WXSommaire du Match
153 - 2018-03-021124Columbus Blue Jackets4New Jersey Devils3WSommaire du Match
154 - 2018-03-031135New Jersey Devils5Columbus Blue Jackets3LSommaire du Match
157 - 2018-03-061159Columbus Blue Jackets2San Jose Sharks5LSommaire du Match
160 - 2018-03-091166Anaheim Ducks3Columbus Blue Jackets4WXXSommaire du Match
166 - 2018-03-151191Anaheim Ducks2Columbus Blue Jackets4WSommaire du Match
171 - 2018-03-201215Edmonton Oilers2Columbus Blue Jackets3WXXSommaire du Match
172 - 2018-03-211226Columbus Blue Jackets5New York Rangers2WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance192,847161,88464,485128,73132,667
Attendance PCT78.39%78.97%78.64%78.49%79.68%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 14161 - 78.67% 886,011$36,326,458$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
43,057,570$ 46,773,883$ 30,200,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
46,773,883$ 42,359,322$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 273,259$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 46,773,883$ 176,003,515$ 176,003,515$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Alex GalchenyukAGE:22PO:1OV:0
Chris KellyAGE:36PO:1OV:0
*Daniel O'ReganAGE:22PO:1OV:0
Daniel CatenacciAGE:23PO:1OV:0
Buddy RobinsonAGE:25PO:1OV:0
*Cody KunykAGE:26PO:1OV:0
*Jayce HawrylukAGE:21PO:1OV:0
Chris KreiderAGE:25PO:1OV:0
Marian GaborikAGE:34PO:1OV:0
Nikita SoshnikovAGE:23PO:1OV:0
Tom KostopoulosAGE:37PO:1OV:0
Tim BozonAGE:22PO:1OV:0
Joshua WinquistAGE:23PO:1OV:0
Brad RichardsonAGE:31PO:1OV:0
Matt NietoAGE:24PO:1OV:0
Nick TarnaskyAGE:32PO:1OV:0
Nick CousinsAGE:23PO:1OV:0
Quinton HowdenAGE:24PO:1OV:0
Lauri KorpikoskiAGE:30PO:1OV:0
Phillip DanaultAGE:23PO:1OV:0
Ryan DzingelAGE:24PO:1OV:0
Brendan LeipsicAGE:22PO:1OV:0
David PastrnakAGE:20PO:1OV:0
Jonathan DrouinAGE:21PO:1OV:0
Ryan HaggertyAGE:23PO:1OV:0
Alex GalchenyukAGE:22PO:1OV:0
Chris KellyAGE:36PO:1OV:0
*Daniel O'ReganAGE:22PO:1OV:0
Daniel CatenacciAGE:23PO:1OV:0
*Cody KunykAGE:26PO:1OV:0
*Alex TuchAGE:20PO:1OV:0
*Daniel AudetteAGE:20PO:1OV:0
Joshua WinquistAGE:23PO:1OV:0
Valtteri FilppulaAGE:32PO:1OV:0
Brad RichardsonAGE:31PO:1OV:0
Nick TarnaskyAGE:32PO:1OV:0
Nick CousinsAGE:23PO:1OV:0
Quinton HowdenAGE:24PO:1OV:0
Lauri KorpikoskiAGE:30PO:1OV:0
Oscar LindbergAGE:25PO:1OV:0
Phillip DanaultAGE:23PO:1OV:0
Ryan DzingelAGE:24PO:1OV:0
Brendan LeipsicAGE:22PO:1OV:0
Zack StortiniAGE:31PO:1OV:0
Ryan HaggertyAGE:23PO:1OV:0
Brandon AldersonAGE:24PO:1OV:0
*Jesse PuljujarviAGE:18PO:1OV:0
Buddy RobinsonAGE:25PO:1OV:0
*Cody KunykAGE:26PO:1OV:0
Jake VirtanenAGE:20PO:1OV:0
*Alex TuchAGE:20PO:1OV:0
Marian GaborikAGE:34PO:1OV:0
Nikita SoshnikovAGE:23PO:1OV:0
*Akim AliuAGE:27PO:1OV:0
Tom KostopoulosAGE:37PO:1OV:0
Brad RichardsonAGE:31PO:1OV:0
Matt NietoAGE:24PO:1OV:0
Mike SisloAGE:28PO:1OV:0
Mike BrownAGE:31PO:1OV:0
Quinton HowdenAGE:24PO:1OV:0
Ryan DzingelAGE:24PO:1OV:0
Zack StortiniAGE:31PO:1OV:0
David PastrnakAGE:20PO:1OV:0
Jonathan DrouinAGE:21PO:1OV:0
Ryan HaggertyAGE:23PO:1OV:0

Défense #1Défense #2Gardien
Andrej SekeraAGE:30PO:1OV:0
Josiah DidierAGE:23PO:1OV:0
Kyle BurroughsAGE:21PO:1OV:0
Madison BoweyAGE:21PO:1OV:0
Brian LashoffAGE:26PO:1OV:0
Mike ReillyAGE:23PO:1OV:0
Ian ColeAGE:27PO:1OV:0
*Akim AliuAGE:27PO:1OV:0
Matt DumbaAGE:22PO:1OV:0
*Robin NorellAGE:21PO:1OV:0
Nick HoldenAGE:29PO:1OV:0
John NegrinAGE:27PO:1OV:0
Mattias EkholmAGE:26PO:1OV:0
Nate SchmidtAGE:25PO:1OV:0
Nick JensenAGE:26PO:1OV:0
Ryan SproulAGE:24PO:1OV:0
Travis HamonicAGE:26PO:1OV:0
Mike WeberAGE:29PO:1OV:0
Will O'NeillAGE:28PO:1OV:0
Ville PokkaAGE:22PO:1OV:0
Cal HeeterAGE:28PO:1OV:0
Dustin TokarskiAGE:27PO:1OV:0
Jack CampbellAGE:25PO:1OV:0
*Niklas LundstromAGE:24PO:1OV:0
Braden HoltbyAGE:27PO:1OV:0
Ryan MillerAGE:36PO:1OV:0
*Eamon McAdamAGE:22PO:1OV:0
Jacob MarkstromAGE:26PO:1OV:0
Jeff MalcolmAGE:27PO:1OV:0

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
Carter HartColumbus Blue Jackets1231
Colin WhiteColumbus Blue Jackets
Collin OlsonColumbus Blue Jackets8148
David KaseColumbus Blue Jackets11178
Dylan StromeColumbus Blue Jackets113
Emil PetterssonColumbus Blue Jackets9152
Evan CormierColumbus Blue Jackets12172
Filip GustavssonColumbus Blue Jackets1261
Jake EvansColumbus Blue Jackets10157
Jeremy RoyColumbus Blue Jackets1133
Kasper BjorkqvistColumbus Blue Jackets12121
Marcus HögbergColumbus Blue Jackets992
Martin GernatColumbus Blue Jackets
Matt BucklesColumbus Blue Jackets9176
Matt DeBlouwColumbus Blue Jackets8178
Olivier ArchambaultColumbus Blue Jackets
Oskar LindblomColumbus Blue Jackets1056
Tom NilssonColumbus Blue Jackets
Travis BrownColumbus Blue Jackets8146
Zach O'BrienColumbus Blue Jackets

Choix au Repêchage

Année R1R2R3R4R5R6
13Clb Tor Nas Tor Clb Clb Clb
14Clb Clb Clb Clb
15Clb Clb Clb Clb
16Clb Clb Clb Clb
17Clb Clb Clb Clb Clb Clb



[2018-03-10 13:01:25] - TRADE : From Dallas Stars to Columbus Blue Jackets : Nick Jensen, Y:13-RND:4-Tor.
[2018-03-10 13:01:25] - TRADE : From Columbus Blue Jackets to Dallas Stars : Ben Chiarot, Y:13-RND:5-Was.
[2018-03-02 20:47:45] - TRADE : From Columbus Blue Jackets to Detroit Red Wings : Y:13-RND:2-Clb, Y:13-RND:2-Dal.
[2018-03-02 20:47:45] - TRADE : From Detroit Red Wings to Columbus Blue Jackets : Travis Hamonic.
[2018-03-02 20:45:52] - TRADE : From Columbus Blue Jackets to St-Louis Blues : Justin Braun, Kevin Klein.
[2018-03-02 20:45:52] - TRADE : From St-Louis Blues to Columbus Blue Jackets : Andrej Sekera, Y:13-RND:2-Dal.
[2018-02-16 12:41:50] - TRADE : From New Jersey Devils to Columbus Blue Jackets : Braden Holtby.
[2018-02-16 12:41:50] - TRADE : From Columbus Blue Jackets to New Jersey Devils : Nikita Zaitsev, Y:14-RND:1-Clb, Y:14-RND:2-Clb.
[2018-02-16 12:41:49] - Braden Holtby was added to Columbus Blue Jackets.
[2017-11-20 14:51:30] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Valtteri Filppula, Lauri Korpikoski, Chris Kelly.
[2017-11-20 14:51:30] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Y:15-RND:2-Clb, Y:16-RND:2-Clb, Y:15-RND:3-Clb, Y:16-RND:3-Clb.
[2017-11-20 14:51:28] - Chris Kelly was added to Columbus Blue Jackets.
[2017-11-20 14:51:28] - Lauri Korpikoski was added to Columbus Blue Jackets.
[2017-11-20 14:51:28] - Valtteri Filppula was added to Columbus Blue Jackets.
[2017-10-17 08:15:58] - Brad Richardson has been selected as assistant for Columbus Blue Jackets.
[2017-10-17 08:15:58] - Nick Holden is no longer as assistant for Columbus Blue Jackets.
[2017-10-17 08:15:58] - Nick Holden has been selected as assistant for Columbus Blue Jackets.
[2017-10-17 08:15:58] - Justin Braun is no longer as assistant for Columbus Blue Jackets.
[2017-10-08 13:51:06] - Colin White has been added to Columbus Blue Jackets.



[2018-04-07 11:18:47] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-04-01 11:50:19] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-04-01 11:50:19] Brendan Leipsic of Columbus Blue Jackets was sent down to farm.
[2018-03-28 11:46:12] Alex Galchenyuk from Columbus Blue Jackets is back from Sore Left Knee Injury.
[2018-03-26 09:41:19] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-03-26 09:41:19] Columbus Blue Jackets Email Address was changed to pathologick@hotmail.com.
[2018-03-20 08:49:16] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-03-20 08:49:16] Columbus Blue Jackets Email Address was changed to .
[2018-03-20 08:49:15] Brendan Leipsic of Columbus Blue Jackets was sent to pro.
[2018-03-19 12:05:47] Game 1124 - Alex Galchenyuk from Columbus Blue Jackets is injured (Sore Left Knee) and is out for 1 week.
[2018-03-17 09:51:25] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-03-15 17:20:46] Brad Richardson from Columbus Blue Jackets is back from Left Foot Injury.
[2018-03-15 17:20:43] Game 1106 - Brad Richardson from Columbus Blue Jackets is injured (Left Foot) and is out for 1 days.
[2018-03-14 18:26:20] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-03-14 18:26:20] Jacob Markstrom of Columbus Blue Jackets was sent to farm.
[2018-03-14 18:26:20] Oscar Lindberg of Columbus Blue Jackets was sent down to farm.
[2018-03-12 10:05:56] Braden Holtby from Columbus Blue Jackets is back from Exhaustion.
[2018-03-12 10:04:59] Auto Lines Farm Function has been run for Springfield Falcons.
[2018-03-12 10:04:59] Auto Roster Farm Only Function has been run for Columbus Blue Jackets.
[2018-03-11 12:49:19] Braden Holtby from Columbus Blue Jackets injured (Exhaustion)
[2018-03-10 13:01:25] TRADE : From Dallas Stars to Columbus Blue Jackets : Nick Jensen, Y:13-RND:4-Tor.
[2018-03-10 13:01:25] TRADE : From Columbus Blue Jackets to Dallas Stars : Ben Chiarot, Y:13-RND:5-Was.
[2018-03-10 12:58:18] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-03-08 16:35:11] Mattias Ekholm from Columbus Blue Jackets is back from Right Knee Injury.
[2018-03-08 16:35:08] Game 1054 - Mattias Ekholm from Columbus Blue Jackets is injured (Right Knee) and is out for 3 days.
[2018-03-08 16:32:31] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-03-04 16:20:40] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0



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
12823133084422522448411615042221211138411518042201311310922524476992781847515262985488985161248071366916653106821.94%2745081.75%21454302048.15%1460283651.48%626125050.08%2010139719215991040525
Total Saison Régulière823133084422522448411615042221211138411518042201311310922524476992781847515262985488985161248071366916653106821.94%2745081.75%21454302048.15%1460283651.48%626125050.08%2010139719215991040525