Columbus Blue Jackets

GP: 7 | W: 4 | L: 3 | OTL: 0 | P: 8
GF: 15 | GA: 15 | PP%: 16.00% | PK%: 81.48%
DG: Patrick Auger | Morale : 52 | Moyenne d'Équipe : 72
Prochain matchs #120 vs New York Islanders
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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-HopkinsXX99.006438837971869577828078817971698754740
2Chris Kreider (C)X100.008443718087839276567477597875806954730
3Zach Hyman (A)XX100.008054747379838471747272886973715254730
4Phillip DanaultX99.007645797477869473867867856971697654730
5David PastrnakX100.006439828473847982558386588465678154730
6Evgenii Dadonov (A)XX100.005636927769849576528079637680745254720
7Jonathan DrouinXXX100.006238848373829482767871598267698654720
8Dylan StromeX100.005337867483819273797772637463658954700
9Alex GalchenyukXXX100.006340847879808577717573527669718654690
10Colin WhiteXX100.005638847371818471807467657263648254680
11Matt NietoXX100.005936906670757765536864836573686154670
12Oskar LindblomXX100.006937876776759465536667646365675654660
13Ian ColeX100.008168596481858463307359885178706654730
14Matt DumbaX100.008347807871905077308076756869668440720
15Nate SchmidtX100.005936907376887472307967845675693654720
16Mike MathesonX100.006441736879898867307469785669667854710
17Marco ScandellaX100.007239816585837663307164775277705754700
18Madison BoweyX100.007754736280796361307354665267656854650
Rayé
1Brian LashoffX100.006236905987836858306053654577694655640
MOYENNE D'ÉQUIPE99.89684281727783837154746971677169695370
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 Holtby98.00939593839291939291939278845048880
2Carter Hart (R)98.00848886778382848382848361657554790
Rayé
MOYENNE D'ÉQUIPE98.0089929080888789888789887075635184
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
1Ryan Nugent-HopkinsColumbus Blue JacketsC/LW71452201117242184.17%314320.471236210001110054.19%17900000.7001000001
2Evgenii DadonovColumbus Blue JacketsLW/RW722420026245148.33%012618.14112321000001066.67%600000.6300000010
3Ian ColeColumbus Blue JacketsD703336023115100.00%1416523.5700049000019000.00%000000.3600000011
4Matt DumbaColumbus Blue JacketsD521314010594822.22%910921.8800031300000000.00%000000.5500000000
5Nate SchmidtColumbus Blue JacketsD703310041112230.00%1116123.08022921000022000.00%000000.3700000000
6Phillip DanaultColumbus Blue JacketsC7213040926288167.14%114620.931019190001270156.46%20900000.4101000001
7David PastrnakColumbus Blue JacketsRW7303240881871216.67%013218.89101421000002022.22%900000.4511000100
8Jonathan DrouinColumbus Blue JacketsC/LW/RW7123-10028153126.67%011816.88011319000000061.54%1300000.5100000000
9Mike MathesonColumbus Blue JacketsD7123-30091072614.29%1013819.83011618000020000.00%000000.4300000010
10Alex GalchenyukColumbus Blue JacketsC/LW/RW7112020112921011.11%09814.0200000000040030.77%1300000.4100000000
11Dylan StromeColumbus Blue JacketsC7022-1000169270.00%010014.3100000000070051.92%10400000.4000000000
12Zach HymanColumbus Blue JacketsLW/RW7112010020912478.33%111116.00000000001210172.73%1100000.3600000100
13Chris KreiderColumbus Blue JacketsLW7011010022699120.00%011716.78000219000000075.00%400000.1700000000
14Marco ScandellaColumbus Blue JacketsD7011-11401466140.00%1014320.45011217000016000.00%000000.1400000000
15Oskar LindblomColumbus Blue JacketsC/LW7000020202010.00%0365.260000000000000.00%100000.0000000000
16Colin WhiteColumbus Blue JacketsC/RW7000-220374130.00%0365.2600000000000047.83%4600000.0000000000
17Madison BoweyColumbus Blue JacketsD7000-2401960000.00%710114.440000100006000.00%000000.0000000000
18Brian LashoffColumbus Blue JacketsD2000100001000.00%02512.880000000000000.00%000000.0000000000
19Matt NietoColumbus Blue JacketsLW/RW7000000143050.00%1446.4100000000011000.00%300000.0000000000
Stats d'équipe Total ou en Moyenne1261424382640160168197531387.11%67205816.3348125120300031723253.51%59800000.3713000233
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 Jackets74300.9242.1439301141850001.000370201
2Carter HartColumbus Blue Jackets10000.9411.9431001170000.000007000
Stats d'équipe Total ou en Moyenne84300.9262.1242501152020001.000377201


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$2,118,182$NoLien
Braden HoltbyColumbus Blue JacketsG291989-09-16No211 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$4,545,455$NoLien
Brian LashoffColumbus Blue JacketsD281990-07-16No219 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm300,000$300,000$272,727$NoLien
Carter HartColumbus Blue JacketsG201998-08-13Yes181 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$500,000$454,545$NoLien
Chris KreiderColumbus Blue JacketsLW281991-04-30No220 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Colin WhiteColumbus Blue JacketsC/RW221997-01-30No183 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
David PastrnakColumbus Blue JacketsRW231996-05-25No194 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Dylan StromeColumbus Blue JacketsC221997-03-07No200 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Evgenii DadonovColumbus Blue JacketsLW/RW301989-03-12No185 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm4,500,000$4,500,000$4,090,909$NoLien
Ian ColeColumbus Blue JacketsD301989-02-21No219 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Jonathan DrouinColumbus Blue JacketsC/LW/RW241995-03-28No193 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Madison BoweyColumbus Blue JacketsD241995-04-22No198 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Marco ScandellaColumbus Blue JacketsD291990-02-23No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Matt DumbaColumbus Blue JacketsD241994-07-25No182 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Matt NietoColumbus Blue JacketsLW/RW261992-11-05No190 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Mike MathesonColumbus Blue JacketsD251994-02-27No193 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Nate SchmidtColumbus Blue JacketsD271991-07-16No194 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Oskar LindblomColumbus Blue JacketsC/LW221996-08-15No191 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$454,545$NoLien
Phillip DanaultColumbus Blue JacketsC261993-02-24No198 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Ryan Nugent-HopkinsColumbus Blue JacketsC/LW261993-04-12No184 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Zach HymanColumbus Blue JacketsLW/RW271992-06-09No209 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.57198 Lbs6 ft12.712,258,571$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,430,000$36,430,000$29,430,000$15,830,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgenii DadonovRyan Nugent-HopkinsDavid Pastrnak32122
2Chris KreiderPhillip DanaultJonathan Drouin30122
3Alex GalchenyukDylan StromeZach Hyman28122
4Oskar LindblomColin WhiteMatt Nieto10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaIan Cole40122
2Nate SchmidtMarco Scandella30122
3Mike MathesonMadison Bowey20122
4Ian ColeNate Schmidt10122
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
1Matt DumbaNate Schmidt60122
2Mike MathesonMarco Scandella40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phillip DanaultZach Hyman60122
2Ryan Nugent-HopkinsMatt Nieto40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian ColeNate Schmidt55122
2Mike MathesonMarco Scandella45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Hyman60122Ian ColeNate Schmidt55122
2Phillip Danault40122Mike MathesonMarco Scandella45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Nugent-HopkinsDavid Pastrnak60122
2Phillip DanaultEvgenii Dadonov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaIan Cole60122
2Nate SchmidtMarco Scandella40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach HymanRyan Nugent-HopkinsDavid PastrnakMatt DumbaNate Schmidt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach HymanRyan Nugent-HopkinsDavid PastrnakIan ColeMike Matheson
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
1Anaheim Ducks11000000523110000005230000000000021.000510150022103481313027912185120.00%40100.00%014124258.26%13525353.36%449247.83%2618226116
2Buffalo Sabres11000000202110000002020000000000021.000235011100329914027118216116.67%40100.00%014124258.26%13525353.36%449247.83%2316247125
3Carolina Hurricanes11000000211000000000001100000021121.000246000020255317019810142150.00%4175.00%014124258.26%13525353.36%449247.83%2316238125
4Chicago Blackhawks1010000025-3000000000001010000025-300.0002350001103151790338829500.00%4175.00%014124258.26%13525353.36%449247.83%2517226125
5Dallas Stars1010000012-11010000012-10000000000000.0001230010001455402510122411100.00%4175.00%014124258.26%13525353.36%449247.83%2013278115
6Pittsburgh Penguins10000010211000000000001000001021121.00021300001133119974211827400.00%4175.00%014124258.26%13525353.36%449247.83%2417278126
7Toronto Maple Leafs1010000014-31010000014-30000000000000.000112001000281010802910627200.00%3166.67%014124258.26%13525353.36%449247.83%2417226136
Total7330001015150422000009813110001067-180.5711524390154511975366747202676416025416.00%27581.48%014124258.26%13525353.36%449247.83%167117170528641
_Since Last GM Reset7330001015150422000009813110001067-180.5711524390154511975366747202676416025416.00%27581.48%014124258.26%13525353.36%449247.83%167117170528641
_Vs Conference421000107612110000034-12100001042260.7507916012131118353148711740328914214.29%15380.00%014124258.26%13525353.36%449247.83%966797315024
_Vs Division21000010422000000000002100001042241.000459000031581612267611918416116.67%8275.00%014124258.26%13525353.36%449247.83%473451172511

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78L2152439197202676416001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73300101515
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
422000098
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
311001067
Derniers 10 Matchs
WLOTWOTL SOWSOL
330010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
25416.00%27581.48%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
53667475451
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
14124258.26%13525353.36%449247.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
167117170528641


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
3 - 2019-09-0416Toronto Maple Leafs4Columbus Blue Jackets1LSommaire du Match
4 - 2019-09-0522Columbus Blue Jackets2Pittsburgh Penguins1WXXSommaire du Match
6 - 2019-09-0735Buffalo Sabres0Columbus Blue Jackets2WSommaire du Match
10 - 2019-09-1159Anaheim Ducks2Columbus Blue Jackets5WSommaire du Match
11 - 2019-09-1269Columbus Blue Jackets2Carolina Hurricanes1WSommaire du Match
15 - 2019-09-1694Dallas Stars2Columbus Blue Jackets1LSommaire du Match
17 - 2019-09-18110Columbus Blue Jackets2Chicago Blackhawks5LSommaire du Match
18 - 2019-09-19120New York Islanders-Columbus Blue Jackets-
20 - 2019-09-21129Columbus Blue Jackets-Toronto Maple Leafs-
23 - 2019-09-24148Carolina Hurricanes-Columbus Blue Jackets-
25 - 2019-09-26165Columbus Blue Jackets-Philadelphia Flyers-
29 - 2019-09-30189Edmonton Oilers-Columbus Blue Jackets-
31 - 2019-10-02200Columbus Blue Jackets-St. Louis Blues-
32 - 2019-10-03212Calgary Flames-Columbus Blue Jackets-
35 - 2019-10-06227Vegas Golden Knights-Columbus Blue Jackets-
37 - 2019-10-08246Columbus Blue Jackets-Phoenix Coyotes-
39 - 2019-10-10260Columbus Blue Jackets-Colorado Avalanche-
42 - 2019-10-13273Columbus Blue Jackets-Montreal Canadiens-
45 - 2019-10-16297St. Louis Blues-Columbus Blue Jackets-
49 - 2019-10-20322Montreal Canadiens-Columbus Blue Jackets-
51 - 2019-10-22337Detroit Red Wings-Columbus Blue Jackets-
53 - 2019-10-24352Columbus Blue Jackets-Winnipeg Jets-
55 - 2019-10-26369Ottawa Senators-Columbus Blue Jackets-
57 - 2019-10-28384Philadelphia Flyers-Columbus Blue Jackets-
59 - 2019-10-30400Pittsburgh Penguins-Columbus Blue Jackets-
60 - 2019-10-31410Columbus Blue Jackets-New York Islanders-
63 - 2019-11-03429Phoenix Coyotes-Columbus Blue Jackets-
65 - 2019-11-05444New York Rangers-Columbus Blue Jackets-
67 - 2019-11-07458Columbus Blue Jackets-Florida Panthers-
69 - 2019-11-09469Columbus Blue Jackets-Washington Capitals-
72 - 2019-11-12490Columbus Blue Jackets-Pittsburgh Penguins-
74 - 2019-11-14501Columbus Blue Jackets-Ottawa Senators-
76 - 2019-11-16521Washington Capitals-Columbus Blue Jackets-
77 - 2019-11-17529Columbus Blue Jackets-Detroit Red Wings-
79 - 2019-11-19541Los Angeles Kings-Columbus Blue Jackets-
81 - 2019-11-21561New Jersey Devils-Columbus Blue Jackets-
83 - 2019-11-23573Columbus Blue Jackets-New York Islanders-
87 - 2019-11-27585Columbus Blue Jackets-Washington Capitals-
89 - 2019-11-29604Chicago Blackhawks-Columbus Blue Jackets-
91 - 2019-12-01619Florida Panthers-Columbus Blue Jackets-
93 - 2019-12-03627Columbus Blue Jackets-Boston Bruins-
95 - 2019-12-05642San Jose Sharks-Columbus Blue Jackets-
97 - 2019-12-07662Columbus Blue Jackets-Los Angeles Kings-
98 - 2019-12-08674Columbus Blue Jackets-Anaheim Ducks-
100 - 2019-12-10688Columbus Blue Jackets-San Jose Sharks-
102 - 2019-12-12700Columbus Blue Jackets-Vegas Golden Knights-
105 - 2019-12-15719Boston Bruins-Columbus Blue Jackets-
107 - 2019-12-17733Carolina Hurricanes-Columbus Blue Jackets-
109 - 2019-12-19751New Jersey Devils-Columbus Blue Jackets-
110 - 2019-12-20758Columbus Blue Jackets-New York Rangers-
113 - 2019-12-23766Winnipeg Jets-Columbus Blue Jackets-
123 - 2020-01-02792Columbus Blue Jackets-Buffalo Sabres-
124 - 2020-01-03807Columbus Blue Jackets-Montreal Canadiens-
126 - 2020-01-05818Florida Panthers-Columbus Blue Jackets-
129 - 2020-01-08841Detroit Red Wings-Columbus Blue Jackets-
130 - 2020-01-09851Colorado Avalanche-Columbus Blue Jackets-
132 - 2020-01-11863Tampa Bay Lightning-Columbus Blue Jackets-
135 - 2020-01-14880Columbus Blue Jackets-Buffalo Sabres-
136 - 2020-01-15893New York Rangers-Columbus Blue Jackets-
138 - 2020-01-17912Columbus Blue Jackets-New Jersey Devils-
140 - 2020-01-19920Columbus Blue Jackets-Philadelphia Flyers-
142 - 2020-01-21936Philadelphia Flyers-Columbus Blue Jackets-
144 - 2020-01-23955Columbus Blue Jackets-Nashville Predators-
146 - 2020-01-25967Ottawa Senators-Columbus Blue Jackets-
147 - 2020-01-26978Columbus Blue Jackets-Minnesota Wild-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29995Minnesota Wild-Columbus Blue Jackets-
152 - 2020-01-311013Vancouver Canucks-Columbus Blue Jackets-
155 - 2020-02-031030Columbus Blue Jackets-Calgary Flames-
158 - 2020-02-061058Columbus Blue Jackets-Edmonton Oilers-
159 - 2020-02-071064Columbus Blue Jackets-Vancouver Canucks-
163 - 2020-02-111088Pittsburgh Penguins-Columbus Blue Jackets-
165 - 2020-02-131105Nashville Predators-Columbus Blue Jackets-
167 - 2020-02-151118Columbus Blue Jackets-Boston Bruins-
170 - 2020-02-181141Washington Capitals-Columbus Blue Jackets-
172 - 2020-02-201155Columbus Blue Jackets-Toronto Maple Leafs-
174 - 2020-02-221171Columbus Blue Jackets-New Jersey Devils-
175 - 2020-02-231178Columbus Blue Jackets-New York Rangers-
178 - 2020-02-261199Columbus Blue Jackets-Tampa Bay Lightning-
179 - 2020-02-271212Columbus Blue Jackets-Dallas Stars-
181 - 2020-02-291226New York Islanders-Columbus Blue Jackets-
184 - 2020-03-031249Tampa Bay Lightning-Columbus Blue Jackets-
185 - 2020-03-041255Columbus Blue Jackets-Carolina Hurricanes-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance22,36419,7887,73915,3683,829
Attendance PCT93.18%98.94%96.74%96.05%95.73%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 17272 - 95.96% 607,882$2,431,529$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
4,341,765$ 47,430,000$ 2,300,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
47,430,000$ 4,250,852$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
22,491,643$ 170 258,984$ 44,027,280$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
48,671,229$ 47,430,000$ 172,097,331$ 145,917,745$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Ryan Nugent-HopkinsAGE:26PO:87OV:74
Chris KreiderAGE:28PO:69OV:73
Zach HymanAGE:27PO:52OV:73
Jonathan DrouinAGE:24PO:86OV: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



[2019-10-03 09:33:53] - Zach Hyman has been selected as assistant for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Chris Kreider is no longer as assistant for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Evgenii Dadonov has been selected as assistant for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Alex Galchenyuk is no longer as assistant for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Chris Kreider has been selected as captain for Columbus Blue Jackets.
[2019-10-03 09:33:53] - Unknown Player is no longer captain for Columbus Blue Jackets.
[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.



[2019-10-11 13:03:28] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-10-11 13:03:28] Columbus Blue Jackets Email Address was changed to .
[2019-10-08 07:29:25] Last 7 Days Farm Star : 1 - Jayson Megna of Barracuda (3-3-6) / 2 - Jonah Gadjovich of Monsters (1-5-6) / 3 - Andrei Svechnikov of Barracuda (2-3-5)
[2019-10-07 07:41:19] Matt Dumba from Columbus Blue Jackets is back from Right Foot Injury.
[2019-10-05 11:55:19] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.9.9
[2019-10-05 11:55:19] Brian Lashoff of Columbus Blue Jackets was sent to pro.
[2019-10-04 09:11:38] Game 16 - Matt Dumba from Columbus Blue Jackets is injured (Right Foot) and is out for 1 week.
[2019-10-03 09:33:53] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.9.9
[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



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
147330001015150422000009813110001067-181524390154511975366747202676416025416.00%27581.48%014124258.26%13525353.36%449247.83%167117170528641
Total Saison Régulière7330001015150422000009813110001067-181524390154511975366747202676416025416.00%27581.48%014124258.26%13525353.36%449247.83%167117170528641