Columbus Blue Jackets

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 18 | GA: 18 | PP%: 20.83% | PK%: 79.17%
DG: Patrick Auger | Morale : 99 | 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 GalchenyukXX100.0064508594818686847688837050797617400
2Chris KreiderX100.0091507894908687835283907150787717300
3Marian Gaborik (C)XX100.0056508691888171785078757250919217800
4Brad Richardson (A)XXX100.0084507677718375679370747750857715300
5Matt NietoXX100.0060509583718175675060627650756718000
6Nick CousinsXX100.0077507975705969705271686150575818000
7Lauri KorpikoskiXX100.0059509381836183665072627650857717500
8Phillip DanaultXX100.0070506583848383819083749150736815100
9Ryan DzingelXXX100.0069508588748089795078756750706718000
10David PastrnakXX100.0078508394799381955590958153767417200
11Jonathan DrouinXX100.0060508996799375935187867575757315800
12Andrej SekeraX100.0076509391848898862578718950767713700
13Ian ColeX100.0096507977878689812572638850827617000
14Matt DumbaX100.0086508093828795872576748350767317300
15Nick Holden (A)X100.0096508785898798832575739350838317800
16Mattias EkholmX100.0074508888909499832571649550807717500
17Travis HamonicX100.0081507688868680792564648950817912400
Rayé
1Valtteri FilppulaX100.0068508682868789788585758650858515500
2Nate SchmidtX100.0070507286807077822568637550757218800
3Nick JensenX100.0078508874717888602554507650707018900
MOYENNE D'ÉQUIPE100.007550838681828479487572805178751680
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 Holtby100.009897979597999799979891868817900
2Ryan Miller100.008990918789907283828591969617000
Rayé
MOYENNE D'ÉQUIPE100.00949494919395859190929191921750
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
1Chris KreiderColumbus Blue JacketsLW74262602471451428.57%012918.44202220000010042.86%700000.9300000110
2Matt DumbaColumbus Blue JacketsD7156260151117455.88%514420.65123101800003010.00%000000.8300000011
3Valtteri FilppulaColumbus Blue JacketsC7055100314225100.00%414420.660443170000200042.63%19000000.6900000000
4Phillip DanaultColumbus Blue JacketsC/LW7235120814142614.29%113819.75000320000060044.85%16500000.7200000101
5David PastrnakColumbus Blue JacketsLW/RW731404014172061615.00%113819.72000321000171044.83%2900000.5800000100
6Jonathan DrouinColumbus Blue JacketsLW/RW7134000214177105.88%110915.65112516000001042.86%700000.7300000100
7Andrej SekeraColumbus Blue JacketsD7123-2601010100810.00%1117224.60112319000116010.00%000000.3500000000
8Marian GaborikColumbus Blue JacketsLW/RW712300007143127.14%28612.4001112000000145.45%1100000.6900000000
9Mattias EkholmColumbus Blue JacketsD7213-64012983625.00%1116824.10011121000119000.00%000100.3600000000
10Alex GalchenyukColumbus Blue JacketsC/LW7022-14035134150.00%013419.17000120000060032.14%2800000.3000000000
11Ian ColeColumbus Blue JacketsD70224201623120.00%712317.6200011000018000.00%000000.3200000000
12Matt NietoColumbus Blue JacketsLW/RW7202-1202641550.00%58011.50000000000261060.00%500000.5000000010
13Nick HoldenColumbus Blue JacketsD7022-216102276240.00%1314821.28000521000020000.00%000000.2700110000
14Ryan DzingelColumbus Blue JacketsC/LW/RW711200027961011.11%09313.3800003000000060.00%500000.4300000000
15Brad RichardsonColumbus Blue JacketsC/LW/RW50110009124110.00%15711.5500000000110054.29%7000000.3500000000
16Nick CousinsColumbus Blue JacketsC/LW7011-180931130.00%0537.5900000000000039.73%7300000.3800000000
17Lauri KorpikoskiColumbus Blue JacketsC/LW7011-100134000.00%0618.750000000008000.00%200000.3300000000
18Travis HamonicColumbus Blue JacketsD4011100232020.00%46115.330000000002000.00%000000.3300000000
19Nate SchmidtColumbus Blue JacketsD3000300231000.00%04414.820000000000000.00%000000.0000000000
20Oscar LindbergSpringfield Falcons (Clb)C2000020321110.00%12211.2200000000000050.00%2800000.0000000000
Stats d'équipe Total ou en Moyenne12618355306210159156184521309.78%67211216.77510153820500041603344.35%62000100.5000110432
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 Jackets63210.9242.5036000151970000.000061002
2Ryan MillerColumbus Blue Jackets10010.9392.5770003490000.000016001
Stats d'équipe Total ou en Moyenne73220.9272.5143100182460000.000077003


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$1,248,929$No2,690,000$
Andrej SekeraColumbus Blue JacketsD301986-06-07No201 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm4,785,001$4,785,001$2,221,608$No4,785,001$4,785,001$
Brad RichardsonColumbus Blue JacketsC/LW/RW311985-02-03No197 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm2,200,000$2,200,000$1,021,429$No2,200,000$
Braden HoltbyColumbus Blue JacketsG271989-09-16No217 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm6,500,000$6,500,000$3,017,857$No6,500,000$
Chris KreiderColumbus Blue JacketsLW251991-04-29No226 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$1,625,000$No
David PastrnakColumbus Blue JacketsLW/RW201996-05-25No167 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$417,857$No900,000$
Ian ColeColumbus Blue JacketsD271989-02-21No219 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$1,160,714$No2,500,000$2,500,000$
Jonathan DrouinColumbus Blue JacketsLW/RW211995-03-28No186 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$417,857$No900,000$
Lauri KorpikoskiColumbus Blue JacketsC/LW301986-07-27No205 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm976,882$976,882$453,552$No976,882$
Marian GaborikColumbus Blue JacketsLW/RW341982-02-13No204 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$1,625,000$No
Matt DumbaColumbus Blue JacketsD221994-07-24No189 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm300,000$300,000$139,286$No
Matt NietoColumbus Blue JacketsLW/RW241992-11-05No190 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$300,000$139,286$No
Mattias EkholmColumbus Blue JacketsD261990-05-23No204 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$464,286$No
Nate SchmidtColumbus Blue JacketsD251991-07-16No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$139,286$No
Nick CousinsColumbus Blue JacketsC/LW231993-07-19No169 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$300,000$139,286$No
Nick HoldenColumbus Blue JacketsD291987-05-14No210 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$1,160,714$No
Nick JensenColumbus Blue JacketsD261990-09-20No196 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$139,286$No
Phillip DanaultColumbus Blue JacketsC/LW231993-02-24No201 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$900,000$417,857$No900,000$
Ryan DzingelColumbus Blue JacketsC/LW/RW241992-03-09No188 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$139,286$No
Ryan MillerColumbus Blue JacketsG361980-07-17No168 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm8,500,000$8,500,000$3,946,429$No8,500,000$8,500,000$8,500,000$
Travis HamonicColumbus Blue JacketsD261990-08-16No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$464,286$No
Valtteri FilppulaColumbus Blue JacketsC321984-03-20No193 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm3,222,000$3,222,000$1,495,929$No3,222,000$3,222,000$3,222,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.50197 Lbs6 ft11.772,153,358$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,373,883$34,073,883$19,007,001$11,722,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex GalchenyukPhillip DanaultDavid Pastrnak31122
2Chris KreiderJonathan Drouin31023
3Marian GaborikBrad RichardsonRyan Dzingel25122
4Lauri KorpikoskiNick CousinsMatt Nieto13131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraMatt Dumba35122
2Nick HoldenMattias Ekholm32131
3Travis HamonicIan Cole23131
4Andrej SekeraMattias Ekholm10131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex GalchenyukPhillip DanaultDavid Pastrnak60005
2Chris KreiderJonathan Drouin40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraMatt Dumba60113
2Nick HoldenMattias Ekholm40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt Nieto60131
2Phillip DanaultLauri Korpikoski40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmNick Holden60140
2Ian ColeAndrej Sekera40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1David Pastrnak60140Mattias EkholmNick Holden60140
2Matt Nieto40140Ian ColeAndrej Sekera40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris 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
David PastrnakPhillip DanaultMatt NietoNick HoldenMattias Ekholm
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Chris Kreider, David Pastrnak, Phillip DanaultMarian Gaborik, Ryan DzingelDavid Pastrnak
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Dumba, Mattias Ekholm, Andrej SekeraMattias EkholmAndrej Sekera, Mattias Ekholm
Tirs de Pénalité
David Pastrnak, Chris Kreider, Jonathan Drouin, Marian Gaborik,
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
1Floride Panthers73400000181803120000078-1422000001110160.4291835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345
Total73400000181803120000078-1422000001110160.4291835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345
_Since Last GM Reset73400000181803120000078-1422000001110160.4291835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345
_Vs Conference73400000181803120000078-1422000001110160.4291835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76L1183553184246676215900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400001818
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000078
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
42200001110
Derniers 10 Matchs
WLOTWOTL SOWSOL
320200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24520.83%24579.17%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
57556575490
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
10423045.22%13128446.13%4010637.74%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
158106180549345


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 - 2018-04-071Columbus Blue Jackets2Floride Panthers3LXSommaire du Match
3 - 2018-04-099Columbus Blue Jackets3Floride Panthers2WSommaire du Match
5 - 2018-04-1117Floride Panthers3Columbus Blue Jackets1LSommaire du Match
7 - 2018-04-1325Floride Panthers3Columbus Blue Jackets2LXSommaire du Match
9 - 2018-04-1533Columbus Blue Jackets5Floride Panthers3WSommaire du Match
11 - 2018-04-1741Floride Panthers2Columbus Blue Jackets4WSommaire du Match
13 - 2018-04-1949Columbus Blue Jackets1Floride Panthers2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance18,00015,0006,00012,0003,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 18000 - 100.00% 1,125,000$3,375,000$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 47,373,883$ 30,800,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 179,378,515$ 179,378,515$



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



[2018-04-22 07:57:04] - Columbus Blue Jackets was eliminated at round 1 of year 12.
[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.



[2018-04-25 20:53:23] Buddy Robinson from Springfield Falcons completes suspension
[2018-04-22 07:57:04] Valtteri Filppula from Columbus Blue Jackets is back from Strained Right Knee Injury.
[2018-04-22 07:57:03] Game 49 - Valtteri Filppula from Columbus Blue Jackets is injured (Strained Right Knee) and is out for 3 days.
[2018-04-22 07:56:46] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-04-20 07:38:49] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-04-18 06:15:00] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-04-17 18:47:00] Travis Hamonic from Columbus Blue Jackets is back from Broken Right Thumb Injury.
[2018-04-16 21:10:34] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-04-16 21:10:34] Oscar Lindberg of Columbus Blue Jackets was sent down to farm.
[2018-04-14 13:28:38] Brad Richardson from Columbus Blue Jackets is back from Left Leg Injury.
[2018-04-14 13:28:38] Game 20 - Buddy Robinson from Springfield Falcons suspended for 4 game(s)
[2018-04-14 13:26:43] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-04-13 13:05:29] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.3.0
[2018-04-12 07:51:24] Jonathan Drouin from Columbus Blue Jackets is back from Bruised Left Leg Injury.
[2018-04-12 07:51:21] Game 9 - Jonathan Drouin from Columbus Blue Jackets is injured (Bruised Left Leg) and is out for 2 days.
[2018-04-12 07:49:46] Columbus Blue Jackets roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2018-04-12 07:49:40] Oscar Lindberg of Columbus Blue Jackets was sent to pro.
[2018-04-12 07:47:42] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2018-04-12 07:47:42] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2018-04-12 07:47:42] Nick Jensen of Columbus Blue Jackets was sent to pro.
[2018-04-12 07:47:42] Nate Schmidt of Columbus Blue Jackets was sent to pro.
[2018-04-10 15:57:30] Columbus Blue Jackets roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-10 15:47:43] Columbus Blue Jackets roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-10 15:30:40] Game 1 - Travis Hamonic from Columbus Blue Jackets is injured (Broken Right Thumb) and is out for 1 week.
[2018-04-10 15:30:39] Game 1 - Brad Richardson from Columbus Blue Jackets is injured (Left Leg) and is out for 1 week.
[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



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
1273400000181803120000078-1422000001110161835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345
Total Séries73400000181803120000078-1422000001110161835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345