Columbus Blue Jackets

GP: 32 | W: 21 | L: 10 | OTL: 1 | P: 43
GF: 108 | GA: 100 | PP%: 19.49% | PK%: 80.95%
DG: Patrick Auger | Morale : 69 | Moyenne d'Équipe : 79
Prochain matchs #512 vs Vegas Golden Knights
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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
1David PastrnakXX100.00815585968290949657919389558078167840
2Evgeni DadonovXX99.00705596928888919550898991558078177830
3Ryan Nugent-HopkinsXX99.00645587918686909085858887558080178810
4Chris KreiderX100.00965583929191878761828080558284177800
5Alex GalchenyukXXX100.00705587938285879071857980557586170790
6Jonathan DrouinXXX100.00765590958180888977877377558073176780
7Phillip DanaultX100.00785577848585848489797181557370167750
8Marian Gaborik (C)XX100.00705580868282807950717770559192177740
9Jesse PuljujarviX100.00805577888078808250687473557272166730
10Matt NietoXX100.00705581837580807960687583557574174730
11Jake VirtanenX100.00865574807975837760677078557070182710
12Brendan LeipsicXX100.00725577827271758064796872557669174710
13Matt DumbaX100.00885587948894889425897494558180149840
14Mattias EkholmX99.00805585919194959225807098558280178840
15Nate SchmidtX100.00735597908291739225886595558280174810
16Travis HamonicX100.00835573888788878525676190558381174800
17Nick Holden (A)X100.00915596828985888225716587558585166790
Rayé
1Ian ColeXS1855573768882878525736685558480164770
MOYENNE D'ÉQUIPE99.8379558488848585875179748455807817278
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 Holtby100.0085859088868884878786559089165850
2Jaroslav Halak100.0083878986818482868485558887138830
Rayé
MOYENNE D'ÉQUIPE100.008486908784868387868655898815284
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner77828384756076CAN4751,000,000$


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'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
1Evgeni DadonovColumbus Blue JacketsLW/RW3215213672025531143410613.16%1071622.4046103011700051473136.73%4900111.0013000333
2David PastrnakColumbus Blue JacketsLW/RW30921308335716010543798.57%756318.79235221060000501139.06%6400001.0612001212
3Alex GalchenyukColumbus Blue JacketsC/LW/RW28101929775165568125014.71%351518.4218912990001183246.82%66000001.1211001222
4Mattias EkholmColumbus Blue JacketsD3242125331549495419347.41%4574923.41279321040000117100.00%000000.6700001031
5Ryan Nugent-HopkinsColumbus Blue JacketsC/LW3213112411135207388215614.77%571922.491121810700011124350.22%46200000.6712100042
6Nate SchmidtColumbus Blue JacketsD3232023425537404421206.82%4777524.24156221080000121000.00%000000.5900010101
7Jonathan DrouinColumbus Blue JacketsC/LW/RW32814224215165072104111.11%451716.172681796000002046.34%41000000.8523100202
8Matt DumbaColumbus Blue JacketsD2499180300423451132717.65%1954122.565273489000030320.00%000000.6600000100
9Chris KreiderColumbus Blue JacketsLW3271017234080427622619.21%454917.161121099000061140.00%4000000.6200000121
10Phillip DanaultColumbus Blue JacketsC328614040427150204316.00%253016.570112230000770052.56%66400100.5302000100
11Ian ColeColumbus Blue JacketsD3229111441055192211249.09%3352916.54123752000042000.00%000000.4200010012
12Nick HoldenColumbus Blue JacketsD324711026075323882210.53%3066820.90213167300001190030.00%12000000.3300000100
13Travis HamonicColumbus Blue JacketsD32358435550291891316.67%2853416.70000040000103000.00%000000.3000010010
14Marian GaborikColumbus Blue JacketsLW/RW3250528013203482714.71%440212.5900001000002122.73%2200000.2500000110
15Matt NietoColumbus Blue JacketsLW/RW32325-21159192981410.34%22417.53000000001380036.84%1900000.4101010001
16Jesse PuljujarviColumbus Blue JacketsRW32213-580282520112010.00%02648.2500003000000030.43%2300000.2300000001
17Jake VirtanenColumbus Blue JacketsRW12112-31004611139.09%1736.120000000000000.00%400000.5400000000
18Brendan LeipsicColumbus Blue JacketsC/LW30022-560916135150.00%01806.0300000000000044.39%20500000.2200000000
19Dylan StromeMonsters (Clb)C4011000248020.00%05614.0900002000040029.17%7200000.3500000000
20David KampfMonsters (Clb)C4000-120054220.00%1266.5500010000000061.54%2600000.0000000000
21Madison BoweyMonsters (Clb)D2000100001000.00%042.430000000000000.00%000000.0000000000
22Mike ReillyMonsters (Clb)D2000040100000.00%23115.830000000000000.00%000000.0000000000
23Nick CousinsMonsters (Clb)C2000000000100.00%0105.080000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne554106180286383545064470292027965911.52%247920316.6122436522310920008993201146.55%284000210.62614243151818
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 Jackets2717910.9053.14156921828620100.76913266311
2Jaroslav HalakColumbus Blue Jackets144610.8973.5772201434170000.66731023110
Stats d'équipe Total ou en Moyenne41211520.9023.2722912212512790100.750163629421


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/LW/RW221994-02-11No198 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm2,690,000$2,690,000$1,595,763$No
Braden HoltbyColumbus Blue JacketsG271989-09-15No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm6,500,000$6,500,000$3,855,932$No
Brendan LeipsicColumbus Blue JacketsC/LW221994-05-18No165 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm500,000$500,000$296,610$No
Chris KreiderColumbus Blue JacketsLW251991-04-30No226 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,076,271$No3,500,000$
David PastrnakColumbus Blue JacketsLW/RW201996-05-25No167 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$533,898$No
Evgeni DadonovColumbus Blue JacketsLW/RW271989-03-12No185 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$2,966,102$No
Ian ColeColumbus Blue JacketsD271989-02-21No219 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,483,051$No2,500,000$
Jake VirtanenColumbus Blue JacketsRW201996-08-17No208 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$533,898$No
Jaroslav HalakColumbus Blue JacketsG311985-05-13No186 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$2,076,271$No3,500,000$
Jesse PuljujarviColumbus Blue JacketsRW181998-05-07No203 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$533,898$No900,000$900,000$
Jonathan DrouinColumbus Blue JacketsC/LW/RW211995-03-28No186 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$533,898$No
Marian GaborikColumbus Blue JacketsLW/RW341982-02-14No204 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm880,024$880,024$522,048$No880,024$880,024$
Matt DumbaColumbus Blue JacketsD221994-07-24No189 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm3,500,000$3,500,000$2,076,271$No3,500,000$3,500,000$3,500,000$
Matt NietoColumbus Blue JacketsLW/RW241992-11-04No190 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$500,000$296,610$No500,000$500,000$
Mattias EkholmColumbus Blue JacketsD261990-05-23No204 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$2,966,102$No5,000,000$5,000,000$
Nate SchmidtColumbus Blue JacketsD251991-07-15No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$1,483,051$No2,500,000$2,500,000$
Nick HoldenColumbus Blue JacketsD291987-05-14No210 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$1,483,051$No2,500,000$2,500,000$
Phillip DanaultColumbus Blue JacketsC231993-02-23No201 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$900,000$533,898$No
Ryan Nugent-HopkinsColumbus Blue JacketsC/LW231993-04-11No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,483,051$No2,500,000$
Travis HamonicColumbus Blue JacketsD261990-08-15No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$1,483,051$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2024.60198 Lbs6 ft11.952,428,501$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
48,570,024$27,780,024$15,780,024$3,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgeni DadonovRyan Nugent-HopkinsDavid Pastrnak32023
2Chris KreiderAlex GalchenyukJonathan Drouin31023
3Marian GaborikPhillip DanaultJesse Puljujarvi27122
4Matt NietoBrendan LeipsicJake Virtanen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaMattias Ekholm35023
2Nate SchmidtNick Holden35122
3Travis Hamonic25122
4Matt DumbaMattias Ekholm5122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgeni DadonovRyan Nugent-HopkinsDavid Pastrnak52104
2Chris KreiderAlex GalchenyukJonathan Drouin48104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaMattias Ekholm60113
2Nate SchmidtNick Holden40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phillip DanaultEvgeni Dadonov55131
2Ryan Nugent-HopkinsMatt Nieto45131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate SchmidtMattias Ekholm60140
2Nick HoldenTravis Hamonic40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Phillip Danault60140Nate SchmidtMattias Ekholm60140
2Ryan Nugent-Hopkins40140Nick HoldenTravis Hamonic40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Nugent-HopkinsDavid Pastrnak60122
2Alex GalchenyukEvgeni Dadonov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaMattias Ekholm60122
2Nate SchmidtNick Holden40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgeni DadonovRyan Nugent-HopkinsDavid PastrnakNate SchmidtMatt Dumba
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgeni DadonovRyan Nugent-HopkinsDavid PastrnakNate SchmidtMattias Ekholm
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Galchenyuk, Ryan Nugent-Hopkins, Evgeni DadonovJonathan Drouin, Ryan Nugent-HopkinsMatt Nieto
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Travis Hamonic, , Nate SchmidtTravis Hamonic, Nate Schmidt
Tirs de Pénalité
Jonathan Drouin, Evgeni Dadonov, Ryan Nugent-Hopkins, Chris Kreider, Alex Galchenyuk
Gardien
#1 : Braden Holtby, #2 : Jaroslav Halak


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 Ducks2020000039-61010000036-31010000003-300.00035800111045112014079184345700.00%13192.31%0521110547.15%554118746.67%23551245.90%473248142310
2Buffalo Sabres11000000422110000004220000000000021.00047110013003514147030462122100.00%30100.00%0521110547.15%554118746.67%23551245.90%2821195116
3Calgary Flames10001000431100010004310000000000021.000471100021125414613858205120.00%40100.00%0521110547.15%554118746.67%23551245.90%2517237147
4Carolina Hurricanes2110000067-11010000026-41100000041320.50061218001320571222230591218319222.22%9366.67%0521110547.15%554118746.67%23551245.90%473348152311
5Chicago Blackhawks11000000303110000003030000000000021.00036901021027101070193421500.00%20100.00%0521110547.15%554118746.67%23551245.90%2719206126
6Colorado Avalanche1010000023-11010000023-10000000000000.00024600011021696051818283266.67%9188.89%0521110547.15%554118746.67%23551245.90%2013277126
7Dallas Stars2110000067-11010000014-31100000053220.500691500321056151922077171845400.00%9188.89%0521110547.15%554118746.67%23551245.90%433052132311
8Detroit Red Wings31100001911-2110000003212010000169-330.500913220032409830283948518385813215.38%6350.00%0521110547.15%554118746.67%23551245.90%775469223819
9Florida Panthers22000000743110000002111100000053241.00071320004300561329140611312589111.11%6266.67%0521110547.15%554118746.67%23551245.90%473448142412
10Los Angeles Kings22000000945110000004131100000053241.0009182700234059231719059193139800.00%7185.71%0521110547.15%554118746.67%23551245.90%432851152512
11Minnesota Wild1010000035-21010000035-20000000000000.00036900300011443039812233133.33%6266.67%0521110547.15%554118746.67%23551245.90%2013277115
12New York Islanders11000000211000000000001100000021121.000224000020321511602410412200.00%20100.00%0521110547.15%554118746.67%23551245.90%2316246126
13New York Rangers1010000035-21010000035-20000000000000.0003690011101968503013828300.00%4175.00%0521110547.15%554118746.67%23551245.90%2215257126
14Philadelphia Flyers20000020862100000103211000001054141.00081220002134572314188712142523133.33%11281.82%0521110547.15%554118746.67%23551245.90%473155152613
15Phoenix Coyotes11000000532110000005320000000000021.00058130021203913141203376145120.00%3166.67%0521110547.15%554118746.67%23551245.90%2618216126
16Pittsburgh Penguins11000000422000000000001100000042221.000471100211039111315029914215120.00%70100.00%0521110547.15%554118746.67%23551245.90%2518226125
17San Jose Sharks1010000038-5000000000001010000038-500.00036900300039141312033111422500.00%7357.14%0521110547.15%554118746.67%23551245.90%2416237125
18St. Louis Blues10000010541000000000001000001054121.0005611001122358111565312818010.00%010.00%0521110547.15%554118746.67%23551245.90%2417277126
19Tampa Bay Lightning11000000101000000000001100000010121.00012301100018765026810162150.00%50100.00%0521110547.15%554118746.67%23551245.90%1912288115
20Toronto Maple Leafs22000000633110000004221100000021141.0006101600303065231824044818459222.22%4175.00%0521110547.15%554118746.67%23551245.90%513742142613
Total3217100103110810081787010105655115930002152457430.6721081882960240293579382993343001910492523556901182319.49%1262480.95%0521110547.15%554118746.67%23551245.90%769536774233399198
22Vancouver Canucks1010000025-31010000025-30000000000000.00023500110022868042111220100.00%6183.33%0521110547.15%554118746.67%23551245.90%2014277115
23Washington Capitals220000001385110000008531100000053241.0001326390061608329342006717115315533.33%30100.00%0521110547.15%554118746.67%23551245.90%543939132513
_Since Last GM Reset3217100103110810081787010105655115930002152457430.6721081882960240293579382993343001910492523556901182319.49%1262480.95%0521110547.15%554118746.67%23551245.90%769536774233399198
_Vs Conference18123000216349148520001029254107100011342410290.8066311017301241522455918319717612526133181395721723.61%601280.00%0521110547.15%554118746.67%23551245.90%445314423131226113
_Vs Division9520002036297412000101618-25400001020119140.77836651010012715428796102878280829719737924.32%36683.33%0521110547.15%554118746.67%23551245.90%2201542166411356

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3243L1108188296938104925235569002
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3217101031108100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
178710105655
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
159300215245
Derniers 10 Matchs
WLOTWOTL SOWSOL
431011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1182319.49%1262480.95%0
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
299334300194029357
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
521110547.15%554118746.67%23551245.90%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
769536774233399198


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-09-069Columbus Blue Jackets2Detroit Red Wings4LSommaire du Match
3 - 2018-09-0715Carolina Hurricanes6Columbus Blue Jackets2LSommaire du Match
7 - 2018-09-1137Colorado Avalanche3Columbus Blue Jackets2LR3Sommaire du Match
9 - 2018-09-1348Columbus Blue Jackets5Florida Panthers3WSommaire du Match
10 - 2018-09-1469Columbus Blue Jackets1Tampa Bay Lightning0WSommaire du Match
15 - 2018-09-1990Philadelphia Flyers2Columbus Blue Jackets3WXXSommaire du Match
17 - 2018-09-21103Chicago Blackhawks0Columbus Blue Jackets3WSommaire du Match
20 - 2018-09-24122Phoenix Coyotes3Columbus Blue Jackets5WSommaire du Match
22 - 2018-09-26143Columbus Blue Jackets5St. Louis Blues4WXXSommaire du Match
24 - 2018-09-28150Buffalo Sabres2Columbus Blue Jackets4WSommaire du Match
27 - 2018-10-01171Detroit Red Wings2Columbus Blue Jackets3WSommaire du Match
29 - 2018-10-03188Columbus Blue Jackets3San Jose Sharks8LSommaire du Match
31 - 2018-10-05198Columbus Blue Jackets5Los Angeles Kings3WSommaire du Match
32 - 2018-10-06207Columbus Blue Jackets0Anaheim Ducks3LSommaire du Match
34 - 2018-10-08215Dallas Stars4Columbus Blue Jackets1LSommaire du Match
37 - 2018-10-11241Columbus Blue Jackets5Washington Capitals3WSommaire du Match
38 - 2018-10-12245New York Rangers5Columbus Blue Jackets3LSommaire du Match
40 - 2018-10-14262Columbus Blue Jackets5Dallas Stars3WSommaire du Match
43 - 2018-10-17278Florida Panthers1Columbus Blue Jackets2WSommaire du Match
45 - 2018-10-19293Columbus Blue Jackets4Carolina Hurricanes1WSommaire du Match
47 - 2018-10-21315Columbus Blue Jackets2Toronto Maple Leafs1WSommaire du Match
50 - 2018-10-24337Toronto Maple Leafs2Columbus Blue Jackets4WSommaire du Match
51 - 2018-10-25354Columbus Blue Jackets4Pittsburgh Penguins2WSommaire du Match
53 - 2018-10-27362Columbus Blue Jackets4Detroit Red Wings5LXXSommaire du Match
56 - 2018-10-30383Minnesota Wild5Columbus Blue Jackets3LSommaire du Match
58 - 2018-11-01403Columbus Blue Jackets2New York Islanders1WSommaire du Match
61 - 2018-11-04417Calgary Flames3Columbus Blue Jackets4WXSommaire du Match
63 - 2018-11-06434Columbus Blue Jackets5Philadelphia Flyers4WXXSommaire du Match
65 - 2018-11-08447Washington Capitals5Columbus Blue Jackets8WSommaire du Match
68 - 2018-11-11468Vancouver Canucks5Columbus Blue Jackets2LSommaire du Match
70 - 2018-11-13480Los Angeles Kings1Columbus Blue Jackets4WSommaire du Match
72 - 2018-11-15495Anaheim Ducks6Columbus Blue Jackets3LSommaire du Match
74 - 2018-11-17512Vegas Golden Knights-Columbus Blue Jackets-
77 - 2018-11-20533New Jersey Devils-Columbus Blue Jackets-
79 - 2018-11-22554Columbus Blue Jackets-Philadelphia Flyers-
80 - 2018-11-23562Columbus Blue Jackets-New Jersey Devils-
81 - 2018-11-24572Columbus Blue Jackets-New York Rangers-
82 - 2018-11-25580Toronto Maple Leafs-Columbus Blue Jackets-
85 - 2018-11-28602Ottawa Senators-Columbus Blue Jackets-
89 - 2018-12-02631Columbus Blue Jackets-Carolina Hurricanes-
90 - 2018-12-03637Columbus Blue Jackets-Florida Panthers-
93 - 2018-12-06664Columbus Blue Jackets-Tampa Bay Lightning-
95 - 2018-12-08672Nashville Predators-Columbus Blue Jackets-
97 - 2018-12-10698Columbus Blue Jackets-Washington Capitals-
98 - 2018-12-11700New York Rangers-Columbus Blue Jackets-
100 - 2018-12-13711New Jersey Devils-Columbus Blue Jackets-
103 - 2018-12-16735Montreal Canadiens-Columbus Blue Jackets-
104 - 2018-12-17744Columbus Blue Jackets-Minnesota Wild-
110 - 2018-12-23774Buffalo Sabres-Columbus Blue Jackets-
112 - 2018-12-25780Columbus Blue Jackets-Winnipeg Jets-
114 - 2018-12-27789St. Louis Blues-Columbus Blue Jackets-
117 - 2018-12-30811Columbus Blue Jackets-Colorado Avalanche-
119 - 2019-01-01823Columbus Blue Jackets-Phoenix Coyotes-
121 - 2019-01-03850Columbus Blue Jackets-Vegas Golden Knights-
124 - 2019-01-06865Washington Capitals-Columbus Blue Jackets-
126 - 2019-01-08878New York Islanders-Columbus Blue Jackets-
128 - 2019-01-10894Columbus Blue Jackets-Chicago Blackhawks-
130 - 2019-01-12910Tampa Bay Lightning-Columbus Blue Jackets-
131 - 2019-01-13921Columbus Blue Jackets-Montreal Canadiens-
134 - 2019-01-16943Columbus Blue Jackets-Ottawa Senators-
135 - 2019-01-17946San Jose Sharks-Columbus Blue Jackets-
138 - 2019-01-20971Pittsburgh Penguins-Columbus Blue Jackets-
140 - 2019-01-22986Philadelphia Flyers-Columbus Blue Jackets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241001Edmonton Oilers-Columbus Blue Jackets-
143 - 2019-01-251010Winnipeg Jets-Columbus Blue Jackets-
145 - 2019-01-271024Columbus Blue Jackets-New Jersey Devils-
147 - 2019-01-291041Columbus Blue Jackets-Pittsburgh Penguins-
149 - 2019-01-311050Pittsburgh Penguins-Columbus Blue Jackets-
151 - 2019-02-021069Columbus Blue Jackets-New York Islanders-
152 - 2019-02-031074Boston Bruins-Columbus Blue Jackets-
155 - 2019-02-061093Carolina Hurricanes-Columbus Blue Jackets-
156 - 2019-02-071100Columbus Blue Jackets-Boston Bruins-
159 - 2019-02-101123Columbus Blue Jackets-Calgary Flames-
161 - 2019-02-121140Columbus Blue Jackets-Edmonton Oilers-
164 - 2019-02-151167Columbus Blue Jackets-Vancouver Canucks-
166 - 2019-02-171179New York Islanders-Columbus Blue Jackets-
168 - 2019-02-191191Montreal Canadiens-Columbus Blue Jackets-
170 - 2019-02-211208Columbus Blue Jackets-Nashville Predators-
171 - 2019-02-221216Columbus Blue Jackets-Buffalo Sabres-
173 - 2019-02-241231Boston Bruins-Columbus Blue Jackets-
176 - 2019-02-271256Columbus Blue Jackets-New York Rangers-
177 - 2019-02-281266Columbus Blue Jackets-Ottawa Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance97,79081,68232,48663,74316,311
Attendance PCT95.87%96.10%95.55%93.74%95.95%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 17177 - 95.43% 1,077,564$18,318,589$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
20,056,794$ 46,070,024$ 24,644,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
46,070,024$ 19,553,464$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
25,861,537$ 105 265,932$ 27,922,860$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
28,112,204$ 46,070,024$ 177,524,509$ 175,273,842$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
David PastrnakAGE:20PO:1OV:84
Evgeni DadonovAGE:27PO:1OV:83
Ryan Nugent-HopkinsAGE:23PO:1OV:81
Chris KreiderAGE:25PO:1OV:80
Alex GalchenyukAGE:22PO:1OV:79
Jonathan DrouinAGE:21PO:1OV:78
Marian GaborikAGE:34PO:1OV:74
Matt NietoAGE:24PO:1OV:73
Brendan LeipsicAGE:22PO:1OV:71
*Oskar LindblomAGE:20PO:1OV:67
Daniel AudetteAGE:20PO:1OV:58
Nick TarnaskyAGE:32PO:1OV:58
Tim BozonAGE:22PO:1OV:56
*Jayce HawrylukAGE:21PO:1OV:55
Lauri KorpikoskiAGE:30PO:1OV:54
Joshua WinquistAGE:23PO:1OV:52
*Olivier ArchambaultAGE:23PO:1OV:52
Ryan Nugent-HopkinsAGE:23PO:1OV:81
Alex GalchenyukAGE:22PO:1OV:79
Jonathan DrouinAGE:21PO:1OV:78
Phillip DanaultAGE:23PO:1OV:75
Brendan LeipsicAGE:22PO:1OV:71
Oscar LindbergAGE:25PO:1OV:69
*David KampfAGE:22PO:1OV:68
*Dylan StromeAGE:19PO:1OV:68
Nick CousinsAGE:23PO:1OV:68
Chris KellyAGE:36PO:1OV:63
Zack StortiniAGE:31PO:1OV:58
*Colin WhiteAGE:19PO:1OV:56
Quinton HowdenAGE:24PO:1OV:56
*Matt BucklesAGE:21PO:1OV:55
*Emil PetterssonAGE:22PO:1OV:54
*Stephen MacAulayAGE:24PO:1OV:54
David PastrnakAGE:20PO:1OV:84
Evgeni DadonovAGE:27PO:1OV:83
Alex GalchenyukAGE:22PO:1OV:79
Jonathan DrouinAGE:21PO:1OV:78
Marian GaborikAGE:34PO:1OV:74
Jesse PuljujarviAGE:18PO:1OV:73
Matt NietoAGE:24PO:1OV:73
Jake VirtanenAGE:20PO:1OV:71
Nikita SoshnikovAGE:23PO:1OV:62
Daniel CatenacciAGE:23PO:1OV:58
Mike BrownAGE:31PO:1OV:58
Ryan HaggertyAGE:23PO:1OV:57
*Akim AliuAGE:27PO:1OV:55
Brandon AldersonAGE:24PO:1OV:54
Buddy RobinsonAGE:25PO:1OV:54
*Cody KunykAGE:26PO:1OV:54
*Zach O'BrienAGE:24PO:1OV:54
Mike SisloAGE:28PO:1OV:52

Défense #1Défense #2Gardien
Matt DumbaAGE:22PO:1OV:84
Mattias EkholmAGE:26PO:1OV:84
Nate SchmidtAGE:25PO:1OV:81
Travis HamonicAGE:26PO:1OV:80
Nick HoldenAGE:29PO:1OV:79
Ian ColeAGE:27PO:1OV:77
Madison BoweyAGE:21PO:1OV:71
Mike ReillyAGE:23PO:1OV:71
Ryan SproulAGE:24PO:1OV:66
Brian LashoffAGE:26PO:1OV:56
Ville PokkaAGE:22PO:1OV:56
Mike WeberAGE:29PO:1OV:55
Josiah DidierAGE:23PO:1OV:54
Kyle BurroughsAGE:21PO:1OV:54
*Robin NorellAGE:21PO:1OV:54
*Jeremy RoyAGE:19PO:1OV:54
*Brennan MenellAGE:19PO:1OV:54
Will O'NeillAGE:28PO:1OV:54
John NegrinAGE:27PO:1OV:53
Braden HoltbyAGE:27PO:1OV:85
Jaroslav HalakAGE:31PO:1OV:83
Jack CampbellAGE:25PO:1OV:70
Eamon McAdamAGE:22PO:1OV:65
Jeff MalcolmAGE:27PO:1OV:58
Marcus HogbergAGE:22PO:1OV:55
*Filip GustavssonAGE:18PO:1OV:54

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
Cal HeeterColumbus Blue Jackets
Carter HartColumbus Blue Jackets1231
Casey MittelstadtColumbus Blue Jackets136
David KaseColumbus Blue Jackets11178
Evan CormierColumbus Blue Jackets12172
Filip WesterlundColumbus Blue Jackets13109
Jake EvansColumbus Blue Jackets10157
Jake LeschyshynColumbus Blue Jackets1395
Jonah GadjovichColumbus Blue Jackets1359
Kasper BjorkqvistColumbus Blue Jackets12121
Leon GawankeColumbus Blue Jackets13171
Marcus HögbergColumbus Blue Jackets992

Choix au Repêchage

Année R1R2R3R4R5R6
14Clb Clb Clb Clb Clb
15Clb Chi Clb Clb Clb
16Clb Clb Clb Clb
17Clb Clb Clb Clb Clb Clb
18Clb Clb Clb Clb Clb Clb



[2018-12-08 15:10:25] - New Record for Team's Most Points (24) in 1 Game for Columbus Blue Jackets!
[2018-12-08 15:10:25] - New Record for Team's Most Assists (16) in 1 Game for Columbus Blue Jackets!
[2018-11-19 12:25:36] - TRADE : From Vegas Golden Knights to Columbus Blue Jackets : Jaroslav Halak (82).
[2018-11-19 12:25:36] - TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Jacob Markstrom (85).
[2018-11-14 11:55:28] - TRADE : From Columbus Blue Jackets to Chicago Blackhawks : Alex Tuch (77), Ryan Dzingel (77), Nick Jensen (74).
[2018-11-14 11:55:28] - TRADE : From Chicago Blackhawks to Columbus Blue Jackets : Ryan Nugent-Hopkins (81), David Kampf (69), Y:15-RND:2-Chi.
[2018-09-29 10:53:20] - Team Name Change : Springfield Falcons changed name to Monsters
[2018-09-01 11:33:07] - Brennan Menell was added to Columbus Blue Jackets.
[2018-08-30 15:47:01] - TRADE : From Columbus Blue Jackets to Ottawa Senateurs : Brad Richardson.
[2018-08-30 15:46:50] - TRADE : From Columbus Blue Jackets to Boston Bruins : Andrej Sekera.
[2018-08-30 15:46:41] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Valtteri Filppula.
[2018-08-28 16:11:18] - TRADE : From Columbus Blue Jackets to Phoenix Coyotes : Dustin Tokarski.
[2018-08-25 10:15:54] - Columbus Blue Jackets hired Bob Boughner for 1 000 000 $ for 5 year(s).
[2018-08-25 10:15:44] - Columbus Blue Jackets fired Bob Hartley.
[2018-07-25 17:22:54] - Travis Brown has been deleted from Columbus Blue Jackets.
[2018-07-25 17:22:52] - Tom Nilsson has been deleted from Columbus Blue Jackets.
[2018-07-25 17:22:49] - Niklas Lundstrom has been deleted from Columbus Blue Jackets.
[2018-07-25 17:22:42] - Matt DeBlouw has been deleted from Columbus Blue Jackets.
[2018-07-25 17:22:31] - Martin Gernat has been deleted from Columbus Blue Jackets.
[2018-07-25 17:22:25] - Collin Olson has been deleted from Columbus Blue Jackets.
[2018-07-19 23:00:38] - Stephen MacAulay was added to Columbus Blue Jackets.
[2018-07-19 22:59:17] - Marcus Hogberg was added to Columbus Blue Jackets.
[2018-07-19 22:53:57] - Columbus Blue Jackets drafts Leon Gawanke as the #171 overall pick in the Entry Draft of year 13.
[2018-07-17 15:15:30] - Evgeni Dadonov was added to Columbus Blue Jackets.
[2018-07-16 20:16:14] - Zach O'Brien was added to Columbus Blue Jackets.



[2018-12-15 13:24:49] Game 495 - Ian Cole from Columbus Blue Jackets suspended for 1 game(s)
[2018-12-15 13:24:22] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2018-12-15 13:24:22] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2018-12-13 15:12:03] Jesse Puljujarvi from Columbus Blue Jackets is back from Bruised Right Arm Injury.
[2018-12-13 15:12:02] Game 480 - Jesse Puljujarvi from Columbus Blue Jackets is injured (Bruised Right Arm) and is out for 3 days.
[2018-12-08 15:10:25] New Record for Team's Most Points (24) in 1 Game for Columbus Blue Jackets!
[2018-12-08 15:10:25] New Record for Team's Most Assists (16) in 1 Game for Columbus Blue Jackets!
[2018-12-05 10:58:59] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-12-01 11:44:00] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-12-01 11:44:00] Madison Bowey of Columbus Blue Jackets was sent down to farm.
[2018-11-29 09:14:57] Last 7 Days Farm Star : 1 - Joakim Ryan of Wild (3-8-11) / 2 - Nicholas Baptiste of Wild (5-3-8) / 3 - David Kampf of Monsters (4-3-7)
[2018-11-29 09:14:01] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-11-28 09:32:05] David Pastrnak from Columbus Blue Jackets is back from Sprained Right Finger Injury.
[2018-11-26 09:36:13] Nick Holden from Columbus Blue Jackets is back from Sore Left Knee Injury.
[2018-11-26 09:36:13] Game 362 - Nick Holden from Columbus Blue Jackets is injured (Sore Left Knee) and is out for 3 days.
[2018-11-26 09:35:23] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2018-11-26 09:35:23] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2018-11-26 09:35:23] Madison Bowey of Columbus Blue Jackets was sent to pro.
[2018-11-24 12:15:17] Game 354 - David Pastrnak from Columbus Blue Jackets is injured (Sprained Right Finger) and is out for 1 week.
[2018-11-24 12:14:37] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-11-23 16:39:29] Evgeni Dadonov from Columbus Blue Jackets has scored a Hat Trick!
[2018-11-21 22:26:50] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-11-19 12:25:36] TRADE : From Vegas Golden Knights to Columbus Blue Jackets : Jaroslav Halak (82).
[2018-11-19 12:25:36] TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Jacob Markstrom (85).
[2018-11-18 15:01:32] Columbus Blue Jackets are expected to be over the salary cap by 70 024 $!
[2018-11-18 15:00:16] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-11-18 15:00:16] Brendan Leipsic of Columbus Blue Jackets was sent to pro.
[2018-11-18 15:00:16] Nick Cousins of Columbus Blue Jackets was sent down to farm.
[2018-11-18 15:00:16] Jake Virtanen of Columbus Blue Jackets was sent to pro.
[2018-11-18 15:00:16] David Kampf of Columbus Blue Jackets was sent down to farm.
[2018-11-17 13:56:21] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-11-14 18:23:10] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-11-14 18:23:10] Brendan Leipsic of Columbus Blue Jackets was sent down to farm.
[2018-11-14 18:23:10] Nick Cousins of Columbus Blue Jackets was sent to pro.
[2018-11-14 11:55:28] TRADE : From Columbus Blue Jackets to Chicago Blackhawks : Alex Tuch (77), Ryan Dzingel (77), Nick Jensen (74).
[2018-11-14 11:55:28] TRADE : From Chicago Blackhawks to Columbus Blue Jackets : Ryan Nugent-Hopkins (81), David Kampf (69), Y:15-RND:2-Chi.
[2018-11-11 14:29:14] Matt Dumba from Columbus Blue Jackets is back from Lacerated Left Calf Injury.
[2018-11-10 14:56:17] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0



Ian Cole est suspendu pour 1 plusieurs matchs.



LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
133217100103110810081787010105655115930002152457431081882960240293579382993343001910492523556901182319.49%1262480.95%0521110547.15%554118746.67%23551245.90%769536774233399198
Total Saison Régulière3217100103110810081787010105655115930002152457431081882960240293579382993343001910492523556901182319.49%1262480.95%0521110547.15%554118746.67%23551245.90%769536774233399198
Séries
1273400000181803120000078-1422000001110161835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345
1273400000181803120000078-1422000001110161835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345
Total Séries14680000036360624000001416-284400000222021236701060010818036811411013014492134124318481020.83%481079.17%020846045.22%26256846.13%8021237.74%31621236110918690