Columbus Blue Jackets

GP: 9 | W: 6 | L: 3 | OTL: 0 | P: 12
GF: 31 | GA: 26 | PP%: 18.18% | PK%: 87.10%
DG: Patrick Auger | Morale : 55 | Moyenne d'Équipe : 72
Prochain matchs #152 vs Detroit Red Wings
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Ryan Nugent-HopkinsXX100.006438837971869577828078817971698757740
2Zach HymanXX100.008054747379838471747272886973715257730
3Phillip DanaultX100.007645797477869473867867856971697657730
4David PastrnakX100.006439828473847982558386588465678157730
5Chris Kreider (A)X100.008443718087839276567477597875806957720
6Evgenii DadonovXX100.005636927769849576528079637680745257720
7Jonathan DrouinXXX100.006238848373829482767871598267698657720
8Dylan StromeX100.005337867483819273797772637463658957700
9Alex Galchenyuk (A)XXX100.006340847879808577717573527669718657690
10Colin WhiteXX100.005638847371818471807467657263648257680
11Matt NietoXX100.005936906670757765536864836573686157670
12Oskar LindblomXX100.006937876776759465536667646365675657660
13Ian ColeX100.008168596481858463307359885178706657730
14Matt DumbaX100.008347807871905077308076756869668457720
15Nate SchmidtX100.005936907376887472307967845675693657720
16Mike MathesonX100.006441736879898867307469785669667857710
17Marco ScandellaX100.007239816585837663307164775277705757700
18Madison BoweyX100.007754736280796361307354665267656857650
Rayé
MOYENNE D'ÉQUIPE100.00684381737783837255757072687169705771
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 Holtby100.00939593839291939291939278845057880
2Carter Hart (R)100.00848886778382848382848361657557790
Rayé
MOYENNE D'ÉQUIPE100.0089929080888789888789887075635784
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner83798983716678CAN4741,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
1Matt DumbaColumbus Blue JacketsD91111231001020118159.09%1922725.30022429000022000.00%000001.0500000001
2Ryan Nugent-HopkinsColumbus Blue JacketsC/LW94592206314072210.00%219521.7110110280000301052.10%28600000.9201000111
3Ian ColeColumbus Blue JacketsD917831601815126138.33%1522525.02022529000120000.00%000000.7100000000
4David PastrnakColumbus Blue JacketsRW94482201454213219.52%017719.7012310280000121125.93%2700010.9011000201
5Zach HymanColumbus Blue JacketsLW/RW92462201816378185.41%011412.68000000001120045.45%1100001.0500000100
6Nate SchmidtColumbus Blue JacketsD9336-240136148921.43%1018921.07134725000025110.00%000000.6300000100
7Dylan StromeColumbus Blue JacketsC9145200211147107.14%111212.49000000001100054.42%14700000.8900000000
8Jonathan DrouinColumbus Blue JacketsC/LW/RW9235-2004102810247.14%015917.67101727000001057.14%700000.6300000000
9Chris KreiderColumbus Blue JacketsLW9224-440149266127.69%114115.70011527000000030.77%1300000.5700000010
10Phillip DanaultColumbus Blue JacketsC9224-420429329136.25%417219.130225270000310051.17%21300000.4611000000
11Evgenii DadonovColumbus Blue JacketsLW/RW9134300411205225.00%116218.02101328000000027.27%1100000.4900000010
12Oskar LindblomColumbus Blue JacketsC/LW9033220938110.00%0869.6600000000010050.00%400000.6900000000
13Colin WhiteColumbus Blue JacketsC/RW92132005581725.00%0829.1900000000000045.05%9100000.7300000000
14Matt NietoColumbus Blue JacketsLW/RW90332004424260.00%2829.1600000000000040.00%500000.7300000000
15Marco ScandellaColumbus Blue JacketsD9303-360167124625.00%1018620.75101625000021100.00%000000.3200000001
16Mike MathesonColumbus Blue JacketsD91231607731133.33%1212013.410000000000000.00%000000.5000000001
17Alex GalchenyukColumbus Blue JacketsC/LW/RW911200005134147.69%0879.6700000000040066.67%900000.4600000010
18Madison BoweyColumbus Blue JacketsD90112602145120.00%1013414.9000000000014000.00%000000.1500000000
Stats d'équipe Total ou en Moyenne162305989116201691983491012168.60%87265716.40612186228100032085250.00%82400010.6723000545
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 Jackets96300.9112.8754420262920000.667390010
Stats d'équipe Total ou en Moyenne96300.9112.8754420262920000.667390010


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 Link
Alex GalchenyukColumbus Blue JacketsC/LW/RW251994-02-12No207 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm2,330,000$2,330,000$2,330,000$NoLien
Braden HoltbyColumbus Blue JacketsG291989-09-16No211 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Carter HartColumbus Blue JacketsG201998-08-13Yes181 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Chris KreiderColumbus Blue JacketsLW281991-04-30No220 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Colin WhiteColumbus Blue JacketsC/RW221997-01-30No183 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
David PastrnakColumbus Blue JacketsRW231996-05-25No194 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Dylan StromeColumbus Blue JacketsC221997-03-07No200 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Evgenii DadonovColumbus Blue JacketsLW/RW301989-03-12No185 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm4,500,000$4,500,000$4,500,000$NoLien
Ian ColeColumbus Blue JacketsD301989-02-21No219 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Jonathan DrouinColumbus Blue JacketsC/LW/RW241995-03-28No193 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Madison BoweyColumbus Blue JacketsD241995-04-22No198 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Marco ScandellaColumbus Blue JacketsD291990-02-23No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Matt DumbaColumbus Blue JacketsD241994-07-25No182 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Matt NietoColumbus Blue JacketsLW/RW261992-11-05No190 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Mike MathesonColumbus Blue JacketsD251994-02-27No193 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Nate SchmidtColumbus Blue JacketsD271991-07-16No194 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Oskar LindblomColumbus Blue JacketsC/LW221996-08-15No191 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Phillip DanaultColumbus Blue JacketsC261993-02-24No198 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Ryan Nugent-HopkinsColumbus Blue JacketsC/LW261993-04-12No184 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Zach HymanColumbus Blue JacketsLW/RW271992-06-09No209 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2025.45197 Lbs6 ft12.702,356,500$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,130,000$36,130,000$29,130,000$15,830,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgenii DadonovRyan Nugent-HopkinsDavid Pastrnak29122
2Chris KreiderPhillip DanaultJonathan Drouin28122
3Alex GalchenyukDylan StromeZach Hyman27122
4Oskar LindblomColin WhiteMatt Nieto16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian ColeMatt Dumba40122
2Nate SchmidtMarco Scandella30122
3Mike MathesonMadison Bowey20122
4Ian ColeMatt Dumba10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgenii DadonovRyan Nugent-HopkinsDavid Pastrnak60122
2Chris KreiderPhillip DanaultJonathan Drouin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian ColeMatt Dumba60122
2Nate SchmidtMarco Scandella40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Nugent-HopkinsPhillip Danault60122
2David PastrnakZach Hyman40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian ColeMatt Dumba60122
2Nate SchmidtMarco Scandella40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Nugent-Hopkins60122Ian ColeMatt Dumba60122
2Phillip Danault40122Nate SchmidtMarco Scandella40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Nugent-HopkinsDavid Pastrnak60122
2Phillip DanaultEvgenii Dadonov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian ColeMatt Dumba60122
2Nate SchmidtMarco Scandella40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach HymanRyan Nugent-HopkinsDavid PastrnakIan ColeMatt Dumba
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach HymanRyan Nugent-HopkinsDavid PastrnakIan ColeMatt Dumba
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Colin White, Jonathan Drouin, Dylan StromeColin White, Jonathan DrouinDylan Strome
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Matheson, Madison Bowey, Nate SchmidtMike MathesonMadison Bowey, Nate Schmidt
Tirs de Pénalité
Ryan Nugent-Hopkins, Phillip Danault, David Pastrnak, Zach Hyman, Chris Kreider
Gardien
#1 : Braden Holtby, #2 : Carter Hart


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Boston Bruins21000010862100000104311100000043141.00081422001332732721217711612419333.33%60100.00%016235345.89%17932555.08%7113851.45%473250152612
2Detroit Red Wings11000000633110000006330000000000021.000612180031204919151503781023300.00%5260.00%016235345.89%17932555.08%7113851.45%2417226136
3Florida Panthers2020000037-41010000023-11010000014-300.00035800102082421822061171640600.00%7185.71%016235345.89%17932555.08%7113851.45%463247152512
4Montreal Canadiens11000000532000000000001100000053221.000510150022103214711032128174125.00%40100.00%016235345.89%17932555.08%7113851.45%2215246136
5Ottawa Senators11000000422110000004220000000000021.00048120012105215142302794137228.57%20100.00%016235345.89%17932555.08%7113851.45%2820197126
6Tampa Bay Lightning1010000023-1000000000001010000023-100.00024600110030813902914217200.00%10100.00%016235345.89%17932555.08%7113851.45%2114267126
7Toronto Maple Leafs11000000321110000003210000000000021.0003690011103171212035111218200.00%6183.33%016235345.89%17932555.08%7113851.45%2215237136
Total95300010312655310001019136422000001213-1120.6673159900010101023491321001137292876416933618.18%31487.10%016235345.89%17932555.08%7113851.45%2131492146711657
_Since Last GM Reset95300010312655310001019136422000001213-1120.6673159900010101023491321001137292876416933618.18%31487.10%016235345.89%17932555.08%7113851.45%2131492146711657
_Vs Conference95300010312655310001019136422000001213-1120.6673159900010101023491321001137292876416933618.18%31487.10%016235345.89%17932555.08%7113851.45%2131492146711657

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
912W2315990349292876416900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
95300103126
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53100101913
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
42200001213
Derniers 10 Matchs
WLOTWOTL SOWSOL
530010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
33618.18%31487.10%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
13210011371010102
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
16235345.89%17932555.08%7113851.45%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2131492146711657


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 - 2019-09-028Columbus Blue Jackets2Tampa Bay Lightning3LSommaire du Match
2 - 2019-09-0323Toronto Maple Leafs2Columbus Blue Jackets3WSommaire du Match
4 - 2019-09-0537Columbus Blue Jackets5Montreal Canadiens3WSommaire du Match
6 - 2019-09-0749Florida Panthers3Columbus Blue Jackets2LSommaire du Match
7 - 2019-09-0868Columbus Blue Jackets4Boston Bruins3WSommaire du Match
8 - 2019-09-0983Columbus Blue Jackets1Florida Panthers4LSommaire du Match
10 - 2019-09-1194Boston Bruins3Columbus Blue Jackets4WXXSommaire du Match
11 - 2019-09-12116Ottawa Senators2Columbus Blue Jackets4WSommaire du Match
13 - 2019-09-14132Detroit Red Wings3Columbus Blue Jackets6WSommaire du Match
15 - 2019-09-16152Columbus Blue Jackets-Detroit Red Wings-
16 - 2019-09-17168Montreal Canadiens-Columbus Blue Jackets-
18 - 2019-09-19188Columbus Blue Jackets-Buffalo Sabres-
19 - 2019-09-20197Columbus Blue Jackets-Toronto Maple Leafs-
20 - 2019-09-21211Buffalo Sabres-Columbus Blue Jackets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
23 - 2019-09-24226Tampa Bay Lightning-Columbus Blue Jackets-
25 - 2019-09-26236Columbus 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
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
3 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 47,130,000$ 2,000,000$ 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$ 20 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$ 174,453,644$ 174,453,644$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Ryan Nugent-HopkinsAGE:26PO:87OV:74
Zach HymanAGE:27PO:52OV:73
Jonathan DrouinAGE:24PO:86OV:72
Chris KreiderAGE:28PO:69OV:72
Evgenii DadonovAGE:30PO:52OV:72
Alex GalchenyukAGE:25PO:86OV:69
Matt NietoAGE:26PO:61OV:67
Oskar LindblomAGE:22PO:56OV:66
Nick CousinsAGE:25PO:63OV:64
Brendan LeipsicAGE:25PO:61OV:63
Oscar LindbergAGE:27PO:58OV:63
*Jonah GadjovichAGE:20PO:64OV:58
Ryan Nugent-HopkinsAGE:26PO:87OV:74
Phillip DanaultAGE:26PO:76OV:73
Jonathan DrouinAGE:24PO:86OV:72
Dylan StromeAGE:22PO:89OV:70
Alex GalchenyukAGE:25PO:86OV:69
Colin WhiteAGE:22PO:82OV:68
Oskar LindblomAGE:22PO:56OV:66
*Casey MittelstadtAGE:20PO:87OV:64
Nick CousinsAGE:25PO:63OV:64
Brendan LeipsicAGE:25PO:61OV:63
*Jake EvansAGE:23PO:62OV:61
Emil PetterssonAGE:25PO:60OV:61
Ryan HaggertyAGE:26PO:59OV:61
Daniel AudetteAGE:23PO:62OV:59
David PastrnakAGE:23PO:81OV:73
Zach HymanAGE:27PO:52OV:73
Jonathan DrouinAGE:24PO:86OV:72
Evgenii DadonovAGE:30PO:52OV:72
Alex GalchenyukAGE:25PO:86OV:69
Colin WhiteAGE:22PO:82OV:68
Matt NietoAGE:26PO:61OV:67
Nick CousinsAGE:25PO:63OV:64
Buddy RobinsonAGE:27PO:57OV:64
Ryan HaggertyAGE:26PO:59OV:61
Brayden BurkeAGE:22PO:72OV:58
Nikita SoshnikovAGE:25PO:51OV:58
*David KaseAGE:22PO:63OV:57
Max VeronneauAGE:23PO:43OV:56

Défense #1Défense #2Gardien
Ian ColeAGE:30PO:66OV:73
Matt DumbaAGE:24PO:84OV:72
Nate SchmidtAGE:27PO:36OV:72
Mike MathesonAGE:25PO:78OV:71
Marco ScandellaAGE:29PO:57OV:70
Madison BoweyAGE:24PO:68OV:65
Ryan SproulAGE:26PO:67OV:64
Brian LashoffAGE:28PO:46OV:64
Jeremy RoyAGE:22PO:74OV:60
Kyle BurroughsAGE:23PO:71OV:60
Brennan MenellAGE:22PO:63OV:60
Josiah DidierAGE:26PO:60OV:60
Will O'NeillAGE:31PO:54OV:60
Braden HoltbyAGE:29PO:50OV:88
*Carter HartAGE:20PO:75OV:79
Marcus HogbergAGE:24PO:64OV:75
*Evan CormierAGE:21PO:53OV:70
Eamon McAdamAGE:24PO:51OV:70
Filip GustavssonAGE:21PO:75OV:68

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Akim AliuColumbus Blue Jackets
Alexei LipanovColumbus Blue Jackets1380
Brandon AldersonColumbus Blue Jackets
Bulat ShafigullinColumbus Blue Jackets14105
Cal HeeterColumbus Blue Jackets
Chris KellyColumbus Blue Jackets
Cody KunykColumbus Blue Jackets
Cole HultsColumbus Blue Jackets13166
Daniel CatenacciColumbus Blue Jackets
Evgeni DadonovColumbus Blue Jackets
Filip WesterlundColumbus Blue Jackets13109
Jake LeschyshynColumbus Blue Jackets1395
Jeff MalcolmColumbus Blue Jackets
John NegrinColumbus Blue Jackets
Jonny TychonickColumbus Blue Jackets1474
Joshua WinquistColumbus Blue Jackets
Kasper BjorkqvistColumbus Blue Jackets12121
Lauri KorpikoskiColumbus Blue Jackets
Leon GawankeColumbus Blue Jackets13171
Marcus HögbergColumbus Blue Jackets992
Marian GaborikColumbus Blue Jackets
Matt BucklesColumbus Blue Jackets
Mike BrownColumbus Blue Jackets
Mike WeberColumbus Blue Jackets
Nick TarnaskyColumbus Blue Jackets
Olivier ArchambaultColumbus Blue Jackets
Quinton HowdenColumbus Blue Jackets
Robin NorellColumbus Blue Jackets
Stephen MacAulayColumbus Blue Jackets
Tim BozonColumbus Blue Jackets
Ty SmithColumbus Blue Jackets1413
Ville PokkaColumbus Blue Jackets
Zach O'BrienColumbus Blue Jackets
Zack StortiniColumbus Blue Jackets

Choix au Repêchage

Année R1R2R3R4R5R6
15Clb Clb Buf Clb Clb Clb
16Nas Clb Clb Buf PHX Clb Clb Clb
17Clb Clb Clb Chi Clb Ott Clb Clb
18Clb Clb Clb Clb
19Clb Clb Clb Clb Clb Clb



[2019-08-17 10:52:30] - Brayden Burke was added to Columbus Blue Jackets.
[2019-08-07 07:50:51] - Max Veronneau was added to Columbus Blue Jackets.
[2019-07-31 15:25:56] - Monsters hired Todd McLellan for 5 000 000 $ for 5 year(s).
[2019-07-31 15:25:49] - Monsters fired Randy Ladouceur.
[2019-07-28 16:46:32] - TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Travis Hamonic (73).
[2019-07-28 16:45:13] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Jack Campbell (77).
[2019-07-28 16:39:58] - TRADE : From Columbus Blue Jackets to Phoenix Coyotes : Mike Sislo (58).
[2019-07-02 12:47:07] - TRADE : From Columbus Blue Jackets to Phoenix Coyotes : Jaroslav Halak (85), Y:14-RND:5-Clb, Y:14-RND:6-Clb.
[2019-07-02 12:47:07] - TRADE : From Phoenix Coyotes to Columbus Blue Jackets : Cole Hults (P), Y:16-RND:3-PHX, Y:17-RND:4-Ott.
[2019-06-28 11:01:13] - Columbus Blue Jackets drafts Bulat Shafigullin as the #105 overall pick in the Entry Draft of year 14.
[2019-06-22 09:11:06] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Mike Matheson (70), Y:16-RND:1-Nas.
[2019-06-22 09:11:06] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Mattias Ekholm (75), Kyle Turris (68).
[2019-06-20 16:42:41] - Evgenii Dadonov was added to Columbus Blue Jackets.
[2019-06-20 15:04:09] - Columbus Blue Jackets drafts Jonny Tychonick as the #74 overall pick in the Entry Draft of year 14.
[2019-06-20 15:03:27] - Evan Cormier was added to Columbus Blue Jackets.
[2019-06-20 15:03:26] - Carter Hart was added to Columbus Blue Jackets.
[2019-06-20 15:03:26] - David Kase was added to Columbus Blue Jackets.
[2019-06-20 15:03:26] - Jake Evans was added to Columbus Blue Jackets.



[2019-09-19 05:22:15] Last 7 Days Farm Star : 1 - Ryan Callahan of Heat (3-5-8) / 2 - Oscar Lindberg of Monsters (4-4-8) / 3 - Thomas Di Pauli of IceHogs (6-1-7)
[2019-09-13 15:07:16] Oscar Lindberg from Monsters has scored a Hat Trick!
[2019-09-12 07:52:25] David Pastrnak from Columbus Blue Jackets has scored a Hat Trick!
[2019-09-11 11:02:13] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.9.9
[2019-08-26 16:40:08] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.9.9
[2019-08-26 16:40:08] Max Veronneau of Columbus Blue Jackets was sent down to farm.
[2019-08-26 16:40:08] Brayden Burke of Columbus Blue Jackets was sent down to farm.
[2019-08-26 16:40:08] Buddy Robinson of Columbus Blue Jackets was sent down to farm.
[2019-08-26 16:40:08] Oskar Lindblom of Columbus Blue Jackets was sent to pro.
[2019-08-17 10:52:30] Brayden Burke was added to Columbus Blue Jackets.
[2019-08-07 07:50:51] Max Veronneau was added to Columbus Blue Jackets.
[2019-07-31 15:25:56] Monsters hired Todd McLellan for 5 000 000 $ for 5 year(s).
[2019-07-31 15:25:49] Monsters fired Randy Ladouceur.
[2019-07-30 14:45:54] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-07-30 14:45:54] Evan Cormier of Columbus Blue Jackets was sent to farm.
[2019-07-30 14:45:54] Jonah Gadjovich of Columbus Blue Jackets was sent down to farm.
[2019-07-30 14:45:54] Jake Evans of Columbus Blue Jackets was sent down to farm.
[2019-07-30 14:45:54] David Kase of Columbus Blue Jackets was sent down to farm.
[2019-07-30 14:45:54] Casey Mittelstadt of Columbus Blue Jackets was sent down to farm.
[2019-07-30 14:45:54] Brendan Leipsic of Columbus Blue Jackets was sent down to farm.
[2019-07-30 14:45:54] Colin White of Columbus Blue Jackets was sent to pro.
[2019-07-30 14:45:54] Buddy Robinson of Columbus Blue Jackets was sent to pro.
[2019-07-30 14:45:54] Dylan Strome of Columbus Blue Jackets was sent to pro.
[2019-07-29 23:41:23] Auto Lines Function has been run for Columbus Blue Jackets.
[2019-07-29 23:41:20] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2019-07-29 23:41:20] Madison Bowey of Columbus Blue Jackets was sent to pro.
[2019-07-29 23:41:19] Columbus Blue Jackets roster errors : Not enough Centers available in Pro Team! 1 Dressed. 3 Required. Not enough Left Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 0 Dressed. 3 Required. Not enough Forward available in Pro Team! 3 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Goalie available in Pro Team! 0 Dressed. 2 Required. Not enough Players available in Pro Team! 7 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-28 23:41:05] Columbus Blue Jackets roster errors : Not enough Centers available in Pro Team! 1 Dressed. 3 Required. Not enough Left Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 0 Dressed. 3 Required. Not enough Forward available in Pro Team! 3 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Goalie available in Pro Team! 0 Dressed. 2 Required. Not enough Players available in Pro Team! 7 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-28 16:46:32] TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Travis Hamonic (73).



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