Columbus Blue Jackets

GP: 66 | W: 35 | L: 26 | OTL: 5 | P: 75
GF: 203 | GA: 189 | PP%: 20.55% | PK%: 82.67%
DG: Patrick Auger | Morale : 60 | Moyenne d'Équipe : N/A
Prochain matchs #1000 vs St-Louis Blues
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 GalchenyukXX100.0064508594818686847688837050797617300
2Chris KreiderX100.0091507894908687835283907150787716300
3Marian Gaborik (C)XX100.0056508691888171785078757250919216800
4Valtteri FilppulaX100.0068508682868789788585758650858515500
5Brad Richardson (A)XXX100.0084507677718375679370747750857716400
6Matt NietoXX100.0060509583718175675060627650756717100
7Nick CousinsXX100.0077507975705969705271686150575817100
8Lauri KorpikoskiXX100.0059509381836183665072627650857716500
9Oscar LindbergX100.0087508278815778688569676950716811200
10Phillip DanaultXX99.3970506583848383819083749150736814000
11Ryan DzingelXXX100.0069508588748089795078756750706717500
12David PastrnakXX100.0078508394799381955590958153767416200
13Ben ChiarotX100.0084508575927582792553568350777512300
14Ian ColeX100.0096507977878689812572638850827616000
15Matt DumbaX100.0086508093828795872576748350767316200
16Nick Holden (A)X99.5296508785898798832575739350838316700
17Mattias EkholmX100.0074508888909499832571649550807717500
18Justin BraunX100.0094508983858697722550568950818215400
Rayé
1Chris KellyXX100.0069508775715962526659577750818611800
2Brendan LeipsicXX100.0058596868596764708071656262505011900
3Jonathan DrouinXX92.9660508996799375935187867575757315800
4Kevin KleinX100.0097508676837882762554567850768011900
MOYENNE D'ÉQUIPE99.557650838381808277537370785277751530
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 Holtby99.009897979597999799979891868818300
2Ryan Miller100.008990918789907283828591969616000
Rayé
1Jacob Markstrom100.008073809286828384828493787516100
MOYENNE D'ÉQUIPE99.67898789919190848987899287861680
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/RW63322961174001351362660112.03%18143622.8084125320801151794337.43%17900200.8513000455
2Valtteri FilppulaColumbus Blue JacketsC64223860-1155331641816512.15%27137521.50109195319400061974353.76%191600010.8701001324
3Jonathan DrouinColumbus Blue JacketsLW/RW651935541314026101220238.64%3122118.791121346206000181132.54%12600000.8804000143
4Alex GalchenyukColumbus Blue JacketsC/LW661736531021546116183449.29%9134820.4331013342100002663050.69%115200000.7912010161
5Phillip DanaultColumbus Blue JacketsC/LW6026265220275811661341319.40%7113618.9476133518110121656251.59%138600000.9200010513
6Chris KreiderColumbus Blue JacketsLW64202848113401716319431310.31%4115017.9831215421940000234048.42%9500000.8302000344
7Mattias EkholmColumbus Blue JacketsD66182644-416034861212214.88%108153123.2113720612030003179120.00%000000.5700000133
8Matt DumbaColumbus Blue JacketsD6453237-7461010968113024.42%70134421.002151769212000073100.00%000000.5500110110
9Nick HoldenColumbus Blue JacketsD616253115201396688106.82%87140823.0811011451840002167110.00%000000.4400000111
10Ian ColeColumbus Blue JacketsD515192484609034502110.00%5177715.250001134000042000.00%000000.6200000102
11Marian GaborikColumbus Blue JacketsLW/RW606111710066897166.19%583313.88011694000010047.83%6900000.4111000102
12Ryan DzingelColumbus Blue JacketsC/LW/RW667714-1619152770100237.00%782312.48112652000000136.32%45700000.3400111001
13Lauri KorpikoskiColumbus Blue JacketsC/LW646713-19121048268148.82%1378712.312247470002450037.65%50200000.3300002020
14Justin BraunColumbus Blue JacketsD5449137320713945118.89%5787016.110117320000115110.00%000000.3000000010
15Brad RichardsonColumbus Blue JacketsC/LW/RW662810-94551138272242.78%391713.9000011800031701048.92%55800000.2201010010
16Nick CousinsColumbus Blue JacketsC/LW60437-112955519280114.29%25028.3700000000040034.03%19100000.2800100001
17Ben ChiarotColumbus Blue JacketsD36336-22352730261411.54%1951214.2400014000035200.00%000000.2301010020
18Matt NietoColumbus Blue JacketsLW/RW63246-155554140215.00%94947.85000000002651030.77%2600000.2400001000
19Chris KellyColumbus Blue JacketsC/LW29235-170034232016.25%634611.96000250000100035.62%30600000.2911000000
20Oscar LindbergColumbus Blue JacketsC39235-7120442828207.14%32596.6500000000000054.24%27100000.3901000001
21Brendan LeipsicColumbus Blue JacketsC/LW29213-47549100020.00%01776.1300001000001035.71%4200000.3400100010
22Kevin KleinColumbus Blue JacketsD12112040203101210.00%1513911.600001000000000.00%000000.2900000000
Stats d'équipe Total ou en Moyenne1202211354565-2449975124315132106346110.02%5231939616.1451901414802087112281552311447.94%727600210.58417465223431
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Ryan MillerColumbus Blue Jackets52291940.9082.6030494613214400010.765175110733
2Braden HoltbyColumbus Blue Jackets50281630.9212.2529374211013920210.909114719471
3Jacob MarkstromColumbus Blue Jackets155600.8883.6173121443940000.00001250100
4Eamon McAdamSpringfield Falcons (Clb)10001.0000.0029000180000.000005000
Stats d'équipe Total ou en Moyenne118624170.9122.54674810928632440220.821281108412104


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$653,064$No2,690,000$
Ben ChiarotColumbus Blue JacketsD251991-05-08No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$300,000$72,832$No
Brad RichardsonColumbus Blue JacketsC/LW/RW311985-02-03No197 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm2,200,000$2,200,000$534,104$No2,200,000$
Braden HoltbyColumbus Blue JacketsG271989-09-16No217 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm6,500,000$6,500,000$1,578,035$No6,500,000$
Brendan LeipsicColumbus Blue JacketsC/LW221994-05-19No165 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$121,387$No500,000$
Chris KellyColumbus Blue JacketsC/LW361980-11-11No198 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm300,000$300,000$72,832$No300,000$300,000$
Chris KreiderColumbus Blue JacketsLW251991-04-29No226 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$849,711$No
David PastrnakColumbus Blue JacketsLW/RW201996-05-25No167 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$218,497$No900,000$
Ian ColeColumbus Blue JacketsD271989-02-21No219 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$606,936$No2,500,000$2,500,000$
Jacob MarkstromColumbus Blue JacketsG261990-01-31No196 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$606,936$No
Jonathan Drouin (Sur la Masse Salariale)Columbus Blue JacketsLW/RW211995-03-28No186 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$Yes900,000$
Justin BraunColumbus Blue JacketsD291987-02-10No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$606,936$No
Kevin KleinColumbus Blue JacketsD321984-12-12No199 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$606,936$No
Lauri KorpikoskiColumbus Blue JacketsC/LW301986-07-27No205 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm976,882$976,882$237,162$No976,882$
Marian GaborikColumbus Blue JacketsLW/RW341982-02-13No204 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$849,711$No
Matt DumbaColumbus Blue JacketsD221994-07-24No189 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm300,000$300,000$72,832$No
Matt NietoColumbus Blue JacketsLW/RW241992-11-05No190 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$300,000$72,832$No
Mattias EkholmColumbus Blue JacketsD261990-05-23No204 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$242,775$No
Nick CousinsColumbus Blue JacketsC/LW231993-07-19No169 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$300,000$72,832$No
Nick HoldenColumbus Blue JacketsD291987-05-14No210 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$606,936$No
Oscar LindbergColumbus Blue JacketsC251991-10-28No195 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$300,000$72,832$No
Phillip DanaultColumbus Blue JacketsC/LW231993-02-24No201 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$900,000$218,497$No900,000$
Ryan DzingelColumbus Blue JacketsC/LW/RW241992-03-09No188 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$72,832$No
Ryan MillerColumbus Blue JacketsG361980-07-17No168 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm8,500,000$8,500,000$2,063,584$No8,500,000$8,500,000$8,500,000$
Valtteri FilppulaColumbus Blue JacketsC321984-03-20No193 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm3,222,000$3,222,000$782,220$No3,222,000$3,222,000$3,222,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2526.84196 Lbs6 ft11.721,995,555$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,888,882$30,088,882$14,522,000$11,722,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex GalchenyukValtteri FilppulaDavid Pastrnak34023
2Chris KreiderPhillip DanaultMarian Gaborik34122
3Ryan DzingelBrad RichardsonLauri Korpikoski22122
4Nick CousinsOscar LindbergMatt Nieto10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmMatt Dumba33131
2Nick HoldenJustin Braun33131
3Ian ColeBen Chiarot27131
4Mattias EkholmMatt Dumba7122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris KreiderAlex GalchenyukDavid Pastrnak60104
2Phillip DanaultValtteri FilppulaMarian Gaborik40104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmMatt Dumba60113
2Nick HoldenIan Cole40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brad RichardsonMatt Nieto60131
2Valtteri FilppulaLauri Korpikoski40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmMatt Dumba60140
2Ian ColeJustin Braun40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Valtteri Filppula60140Mattias EkholmMatt Dumba60140
2Brad Richardson40140Ian ColeJustin Braun40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Valtteri FilppulaChris Kreider60122
2Alex GalchenyukDavid Pastrnak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmMatt Dumba60122
2Nick HoldenJustin Braun40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris KreiderAlex GalchenyukDavid PastrnakMattias EkholmMatt Dumba
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brad RichardsonValtteri FilppulaMatt NietoNick HoldenJustin Braun
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, Justin BraunMattias EkholmMatt Dumba, Mattias Ekholm
Tirs de Pénalité
David Pastrnak, Chris Kreider, Brad Richardson, Alex Galchenyuk, Valtteri Filppula
Gardien
#1 : Braden Holtby, #2 : Ryan Miller


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Ducks1010000024-2000000000001010000024-200.00023510110032111011031128146116.67%4250.00%01124235947.65%1154227750.68%506101250.00%2417237115
2Boston Bruins3010200012120100010005412010100078-140.6671223350023529028283229629275511218.18%10460.00%01124235947.65%1154227750.68%506101250.00%674675223819
3Buffalo Sabres412000011011-12010000135-22110000076130.37510182800334010833274741483334878225.00%17288.24%01124235947.65%1154227750.68%506101250.00%9061102295126
4Calgary Flames2020000037-41010000012-11010000025-300.00036900300075212826061128367114.29%40100.00%01124235947.65%1154227750.68%506101250.00%493544142512
5Caroline Hurricanes30101001810-21000000134-12010100056-130.5008142200241399323032128429247012325.00%8450.00%01124235947.65%1154227750.68%506101250.00%755172223718
6Chicago Blackhawks22000000936110000005231100000041341.00091726003330561124210691916525360.00%8187.50%01124235947.65%1154227750.68%506101250.00%442949152613
7Colorado Avalanche211000008441010000023-11100000061520.500815230033208021312806221425214535.71%80100.00%01124235947.65%1154227750.68%506101250.00%493546152412
8Dallas Stars320000101293220000007521000001054161.00012213301551191313918711228246010330.00%110100.00%01124235947.65%1154227750.68%506101250.00%684778213718
9Detroit Red Wings320010001156210010005231100000063361.000112132013431783125211712122488112.50%11190.91%01124235947.65%1154227750.68%506101250.00%765267223618
10Edmonton Oilers11000000413000000000001100000041321.00047110011203271411023713245120.00%4175.00%11124235947.65%1154227750.68%506101250.00%2416228136
11Floride Panthers31200000512-72110000047-31010000015-420.333581300113094353821010625165913215.38%8187.50%01124235947.65%1154227750.68%506101250.00%694771213820
12Los Angeles Kings2200000011011110000007071100000040441.000112132023350712322260461523438112.50%90100.00%01124235947.65%1154227750.68%506101250.00%533841142514
13Minnesota Wild2020000049-51010000025-31010000024-200.0004610002110612216230812216464250.00%8187.50%01124235947.65%1154227750.68%506101250.00%463350122310
14Montreal Canadiens2020000047-31010000023-11010000024-200.0004812002110631930140351118351119.09%9188.89%01124235947.65%1154227750.68%506101250.00%503543162512
15Nashville Predators3210000012751010000012-122000000115640.667122133004350812824290773120589222.22%10280.00%01124235947.65%1154227750.68%506101250.00%664676223617
16New York Islanders320000101156110000002022100001095461.0001117280135219526323647717245314535.71%11190.91%01124235947.65%1154227750.68%506101250.00%755170223920
17New York Rangers2020000024-21010000023-11010000001-100.000246001100471715150671639346116.67%11190.91%01124235947.65%1154227750.68%506101250.00%442850152412
18Ottawa Senateurs320010001055210010008531100000020261.0001017270115318331252256017205615320.00%10280.00%01124235947.65%1154227750.68%506101250.00%785363234021
19Philadelphie Flyers503011001017-730101100810-22020000027-530.3001019290013511454844503139486010624312.50%18288.89%01124235947.65%1154227750.68%506101250.00%12590115366231
20Phoenix Coyotes30300000714-72020000037-41010000047-300.00071219002410802234240901629739111.11%12741.67%01124235947.65%1154227750.68%506101250.00%694971213818
21Pittsburgh Penguins31200000811-32110000067-11010000024-220.333814220013409235282901083933765120.00%140100.00%01124235947.65%1154227750.68%506101250.00%634177223918
22San Jose Sharks11000000431110000004310000000000021.000461000130047142112036104165120.00%220.00%01124235947.65%1154227750.68%506101250.00%2921176126
23St-Louis Blues10001000321000000000001000100032121.000358000021314101523513109300.00%4175.00%01124235947.65%1154227750.68%506101250.00%2215277136
24Tampa Bay Lightning22000000972110000005411100000043141.00091423005310591719230551664010220.00%30100.00%01124235947.65%1154227750.68%506101250.00%533841132512
25Toronto Maple Leafs32000100963110000002022100010076150.8339162501225011940304725718107712216.67%50100.00%01124235947.65%1154227750.68%506101250.00%805761214122
Total66262607322203189143314120410296888331214032201071016750.5682033615641762696311204565968467643196157255813462535220.55%2253982.67%11124235947.65%1154227750.68%506101250.00%159911101558486841423
27Vancouver Canucks1000010034-1000000000001000010034-110.500369003000321181214011815200.00%4250.00%01124235947.65%1154227750.68%506101250.00%2215277126
28Washington Capitals2110000089-1110000005411010000035-220.50081624002240722722230683042610220.00%2150.00%01124235947.65%1154227750.68%506101250.00%483547142412
29Winnipeg Jets11000000413110000004130000000000021.0004610002200321410802760267114.29%000.00%01124235947.65%1154227750.68%506101250.00%2618196137
_Since Last GM Reset66262607322203189143314120410296888331214032201071016750.5682033615641762696311204565968467643196157255813462535220.55%2253982.67%11124235947.65%1154227750.68%506101250.00%159911101558486841423
_Vs Conference41141606212117121-42186041026058220610021105763-6460.56111720932604294041912444193934123311713493378221593018.87%1372085.40%01124235947.65%1154227750.68%506101250.00%1001690962302525267
_Vs Division1849021114756-9933011012628-2916010102128-7160.444478413101101816555018517118519543179184365711521.13%64985.94%01124235947.65%1154227750.68%506101250.00%433299433133227114

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6675L220336156420451961572558134617
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6626267322203189
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
33141241029688
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3312143220107101
Derniers 10 Matchs
WLOTWOTL SOWSOL
341101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2535220.55%2253982.67%1
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
6596846764362696311
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
1124235947.65%1154227750.68%506101250.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
159911101558486841423


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 Blues-Columbus Blue Jackets-
136 - 2018-02-131017Columbus Blue Jackets-Winnipeg Jets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161031Columbus Blue Jackets-Montreal Canadiens-
140 - 2018-02-171043Vancouver Canucks-Columbus Blue Jackets-
142 - 2018-02-191054Columbus Blue Jackets-Vancouver Canucks-
144 - 2018-02-211068Columbus Blue Jackets-New Jersey Devils-
145 - 2018-02-221072New York Rangers-Columbus Blue Jackets-
148 - 2018-02-251098Tampa Bay Lightning-Columbus Blue Jackets-
149 - 2018-02-261106Columbus Blue Jackets-Washington Capitals-
153 - 2018-03-021124Columbus Blue Jackets-New Jersey Devils-
154 - 2018-03-031135New Jersey Devils-Columbus Blue Jackets-
157 - 2018-03-061159Columbus Blue Jackets-San Jose Sharks-
160 - 2018-03-091166Anaheim Ducks-Columbus Blue Jackets-
166 - 2018-03-151191Anaheim Ducks-Columbus Blue Jackets-
171 - 2018-03-201215Edmonton Oilers-Columbus Blue Jackets-
172 - 2018-03-211226Columbus Blue Jackets-New York Rangers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance154,142128,40051,754102,76826,132
Attendance PCT77.85%77.82%78.42%77.85%79.19%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
8 14036 - 77.98% 878,491$28,990,212$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
31,409,784$ 48,988,882$ 32,900,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
48,988,882$ 30,913,274$ 0$ 24 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
7,027,930$ 42 286,063$ 12,014,646$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
12,079,892$ 48,988,882$ 180,385,624$ 175,333,662$



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
Ben ChiarotAGE:25PO:1OV:0
Kevin KleinAGE:32PO: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
Ryan SproulAGE:24PO:1OV:0
Justin BraunAGE:29PO: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 Clb Nas Clb Clb Was Clb
14Clb Clb Clb Clb
15Clb Clb Clb Clb
16Clb Clb Clb Clb
17Clb Clb Clb Clb Clb Clb



[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.
[2017-09-10 16:28:46] - Springfield Falcons hired Randy Ladouceur for 100 000 $ for 5 year(s).
[2017-09-10 15:16:42] - Nick Holden has been selected as assistant for Columbus Blue Jackets.
[2017-09-10 15:16:42] - Unknown Player is no longer as assistant for Columbus Blue Jackets.
[2017-09-10 15:16:42] - Justin Braun has been selected as assistant for Columbus Blue Jackets.
[2017-09-10 15:16:42] - Marian Gaborik is no longer as assistant for Columbus Blue Jackets.
[2017-09-10 15:16:42] - Marian Gaborik has been selected as captain for Columbus Blue Jackets.
[2017-09-10 15:16:42] - Alex Galchenyuk is no longer captain for Columbus Blue Jackets.
[2017-09-10 08:14:52] - TRADE : From Dallas Stars to Columbus Blue Jackets : Kevin Klein.
[2017-09-10 08:14:51] - Kevin Klein was added to Columbus Blue Jackets.



[2018-02-24 11:55:50] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-02-23 10:22:15] David Pastrnak from Columbus Blue Jackets is back from Sprained Right Ankle Injury.
[2018-02-23 10:22:15] Phillip Danault from Columbus Blue Jackets is back from Broken Ribs Injury.
[2018-02-23 10:22:15] Nick Holden from Columbus Blue Jackets is back from Separated Left Shoulder Injury.
[2018-02-23 10:22:07] Game 958 - Jonathan Drouin from Columbus Blue Jackets is injured (Bruised Right Arm) and is out for 1 week.
[2018-02-21 10:11:07] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.2.2
[2018-02-20 10:23:56] Braden Holtby from Columbus Blue Jackets is back from Exhaustion.
[2018-02-19 10:00:45] Oscar Lindberg from Columbus Blue Jackets is back from Bruised Right Foot Injury.
[2018-02-19 10:00:39] Braden Holtby from Columbus Blue Jackets injured (Exhaustion)
[2018-02-19 10:00:38] Game 928 - Oscar Lindberg from Columbus Blue Jackets is injured (Bruised Right Foot) and is out for 1 days.
[2018-02-19 10:00:05] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2018-02-19 10:00:05] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2018-02-18 21:33:56] Game 916 - David Pastrnak from Columbus Blue Jackets is injured (Sprained Right Ankle) and is out for 1 week.
[2018-02-18 21:33:56] Game 916 - Phillip Danault from Columbus Blue Jackets is injured (Broken Ribs) and is out for 1 week.
[2018-02-18 21:32:31] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.2.2
[2018-02-17 19:57:09] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.2.2
[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.
[2018-02-15 09:09:53] Game 885 - Nick Holden from Columbus Blue Jackets is injured (Separated Left Shoulder) and is out for 1 week.
[2018-02-13 08:39:43] Last 7 Days Pro Star : 1 - Adam Henrique of Phoenix Coyotes (5-6-11) / 2 - Michael Grabner of Winnipeg Jets (5-2-7) / 3 - Chris Kreider of Columbus Blue Jackets (3-4-7)
[2018-02-11 18:35:05] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.2.2
[2018-02-06 12:35:59] Last 7 Days Farm Star : 1 - Nate Schmidt of Springfield Falcons (3-7-10) / 2 - Joe Colborne of Rockford IceHogs (5-4-9) / 3 - Matej Stransky of Providence Bruins (6-7-13)
[2018-02-06 12:35:53] Ville Pokka from Springfield Falcons completes suspension
[2018-02-05 12:42:09] Game 824 - Ville Pokka from Springfield Falcons suspended for 1 game(s)
[2018-01-31 17:25:20] Mike Weber from Springfield Falcons is back from Bruised Right Foot Injury.



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
1266262607322203189143314120410296888331214032201071016752033615641762696311204565968467643196157255813462535220.55%2253982.67%11124235947.65%1154227750.68%506101250.00%159911101558486841423
Total Saison Régulière66262607322203189143314120410296888331214032201071016752033615641762696311204565968467643196157255813462535220.55%2253982.67%11124235947.65%1154227750.68%506101250.00%159911101558486841423