Columbus Blue Jackets

GP: 30 | W: 16 | L: 10 | OTL: 4 | P: 36
GF: 86 | GA: 70 | PP%: 20.49% | PK%: 83.87%
DG: Patrick Auger | Morale : 51 | Moyenne d'Équipe : 72
Prochain matchs #490 vs Pittsburgh Penguins
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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-HopkinsXX100.006438837971869577828078817971698759750
2Chris Kreider (C)X100.008443718087839276567477597875806959730
3Zach Hyman (A)XX100.008054747379838471747272886973715259730
4Phillip DanaultX99.007645797477869473867867856971697662730
5David PastrnakX100.006439828473847982558386588465678159730
6Evgenii Dadonov (A)XX100.005636927769849576528079637680745259720
7Jonathan DrouinXXX100.006238848373829482767871598267698659720
8Dylan StromeX100.005337867483819273797772637463658959700
9Alex GalchenyukXXX100.006340847879808577717573527669718659690
10Colin WhiteXX100.005638847371818471807467657263648260680
11Matt NietoXX100.005936906670757765536864836573686159670
12Oskar LindblomXX100.006937876776759465536667646365675659660
13Ian ColeX100.008168596481858463307359885178706661730
14Matt DumbaX100.008347807871905077308076756869668436720
15Nate SchmidtX100.005936907376887472307967845675693659720
16Marco ScandellaX100.007239816585837663307164775277705749700
17Dan HamhuisX100.006840816278817361307254774887773852690
18Madison BoweyX100.007754736280796361307354665267656857650
Rayé
1Mike MathesonX73.576441736879898867307469785669667849710
MOYENNE D'ÉQUIPE98.53684281737783837154756972677169695771
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 Holtby98.00939593839291939291939278845037870
2Carter Hart (R)100.00848886778382848382848361657559790
Rayé
MOYENNE D'ÉQUIPE99.0089929080888789888789887075634883
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/LW30161531101403774110236714.55%1060020.015914231070004541252.08%74500011.0302000323
2David PastrnakColumbus Blue JacketsRW3013152810100454478265616.67%055018.3654923107000005135.71%4200011.0212000430
3Nate SchmidtColumbus Blue JacketsD302202230015484614254.35%3572024.002911271060221104000.00%000000.6100000001
4Phillip DanaultColumbus Blue JacketsC30812200255571078718669.20%762820.94459299210161230251.44%86700000.6402100031
5Evgenii DadonovColumbus Blue JacketsLW/RW305141930014277520606.67%253317.7726815103000002039.47%3800000.7100000021
6Matt DumbaColumbus Blue JacketsD2551116534056245422369.26%2252420.96235289000003010.00%000000.6100000001
7Marco ScandellaColumbus Blue JacketsD3021113332039183010146.67%2959519.861451986011083000.00%000000.4400000003
8Jonathan DrouinColumbus Blue JacketsC/LW/RW304913-32011356419426.25%250216.741451692000000047.37%3800000.5201000001
9Chris KreiderColumbus Blue JacketsLW3065114380922453174411.32%251017.012351592000013044.00%2500000.4300000301
10Ian ColeColumbus Blue JacketsD301101145220803017365.88%5063121.06000517022091000.00%000000.3500112021
11Alex GalchenyukColumbus Blue JacketsC/LW/RW3054918011294253511.90%142214.09000170000310040.35%5700000.4300000010
12Dylan StromeColumbus Blue JacketsC30279000349399335.13%140113.37000010000221050.80%43700000.4500000002
13Zach HymanColumbus Blue JacketsLW/RW304592481069496121436.56%547315.790001010171120154.17%4800000.3800101211
14Dan HamhuisColumbus Blue JacketsD30178-41204028137147.69%3149116.37000222000058000.00%000000.3300000101
15Oskar LindblomColumbus Blue JacketsC/LW3043738018102441816.67%11936.44000001011111041.67%1200000.7200000010
16Matt NietoColumbus Blue JacketsLW/RW303363006192451912.50%32257.52000000002580042.86%1400000.5300000000
17Mike MathesonColumbus Blue JacketsD21156-31202918186105.56%2143620.800221360000060000.00%000000.2700000010
18Colin WhiteColumbus Blue JacketsC/RW30235195826183911.11%01745.8200002000001148.36%21300000.5700001000
19Madison BoweyColumbus Blue JacketsD2813452156214100310.00%1944816.01101336000032100.00%000000.1800001000
Stats d'équipe Total ou en Moyenne5548516224747325456926738632326009.85%241906316.3625497422010283582184915850.39%253600020.5517315131617
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 Jackets27151010.9132.33152145596810001.0003273412
2Carter HartColumbus Blue Jackets71030.9401.812990091490000.2005327000
Stats d'équipe Total ou en Moyenne34161040.9182.24182045688300000.50083030412


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$1,470,267$NoLien
Braden HoltbyColumbus Blue JacketsG291989-09-16No211 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$3,155,080$NoLien
Carter HartColumbus Blue JacketsG201998-08-13Yes181 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$500,000$315,508$NoLien
Chris KreiderColumbus Blue JacketsLW281991-04-30No220 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Colin WhiteColumbus Blue JacketsC/RW221997-01-30No183 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Dan HamhuisColumbus Blue JacketsD361982-12-13No204 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,000,111$2,000,111$1,262,102$NoLien
David PastrnakColumbus Blue JacketsRW231996-05-25No194 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Dylan StromeColumbus Blue JacketsC221997-03-07No200 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Evgenii DadonovColumbus Blue JacketsLW/RW301989-03-12No185 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm4,500,000$4,500,000$2,839,572$NoLien
Ian ColeColumbus Blue JacketsD301989-02-21No219 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Jonathan DrouinColumbus Blue JacketsC/LW/RW241995-03-28No193 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Madison BoweyColumbus Blue JacketsD241995-04-22No198 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$500,000$315,508$NoLien
Marco ScandellaColumbus Blue JacketsD291990-02-23No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Matt DumbaColumbus Blue JacketsD241994-07-25No182 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Matt NietoColumbus Blue JacketsLW/RW261992-11-05No190 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$500,000$315,508$NoLien
Mike Matheson (Sur la Masse Salariale)Columbus Blue JacketsD251994-02-27No193 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm2,500,000$0$0$YesLien
Nate SchmidtColumbus Blue JacketsD271991-07-16No194 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Oskar LindblomColumbus Blue JacketsC/LW221996-08-15No191 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$315,508$NoLien
Phillip DanaultColumbus Blue JacketsC261993-02-24No198 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Ryan Nugent-HopkinsColumbus Blue JacketsC/LW261993-04-12No184 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Zach HymanColumbus Blue JacketsLW/RW271992-06-09No209 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.95197 Lbs6 ft12.672,339,529$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,130,111$38,130,111$29,130,000$15,830,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris KreiderRyan Nugent-HopkinsDavid Pastrnak32113
2Evgenii DadonovPhillip DanaultJonathan Drouin32122
3Alex GalchenyukDylan StromeZach Hyman27122
4Oskar LindblomColin WhiteMatt Nieto9122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt35122
2Ian ColeMarco Scandella34122
3Dan HamhuisMadison Bowey27131
4Matt DumbaNate Schmidt4023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgenii DadonovRyan Nugent-HopkinsDavid Pastrnak60005
2Chris KreiderPhillip DanaultJonathan Drouin40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt60014
2Madison BoweyMarco Scandella40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phillip DanaultZach Hyman60131
2Ryan Nugent-HopkinsMatt Nieto40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian ColeNate Schmidt55140
2Dan HamhuisMarco Scandella45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Hyman60140Ian ColeNate Schmidt55140
2Phillip Danault40140Dan HamhuisMarco Scandella45140
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
Evgenii DadonovRyan Nugent-HopkinsDavid PastrnakMatt DumbaNate Schmidt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach HymanPhillip DanaultMatt NietoIan ColeNate Schmidt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Evgenii Dadonov, David Pastrnak, Phillip DanaultChris Kreider, David PastrnakPhillip Danault
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nate Schmidt, Matt Dumba, Ian ColeNate SchmidtDan Hamhuis, Ian Cole
Tirs de Pénalité
David Pastrnak, Jonathan Drouin, Ryan Nugent-Hopkins, Chris Kreider, Evgenii Dadonov
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%0548103852.79%506103948.70%22442352.96%2618226116
2Buffalo Sabres11000000202110000002020000000000021.000235011100329914027118216116.67%40100.00%0548103852.79%506103948.70%22442352.96%2316247125
3Calgary Flames11000000523110000005230000000000021.00051015003110261011502238285240.00%40100.00%0548103852.79%506103948.70%22442352.96%2517217137
4Carolina Hurricanes210001004401000010023-11100000021130.7504812000130491210270461218316233.33%8275.00%0548103852.79%506103948.70%22442352.96%483546162612
5Chicago Blackhawks1010000025-3000000000001010000025-300.0002350001103151790338829500.00%4175.00%0548103852.79%506103948.70%22442352.96%2517226125
6Colorado Avalanche1010000024-2000000000001010000024-200.0002460001102961112033527206116.67%30100.00%0548103852.79%506103948.70%22442352.96%2214248126
7Dallas Stars1010000012-11010000012-10000000000000.0001230010001455402510122411100.00%4175.00%0548103852.79%506103948.70%22442352.96%2013278115
8Detroit Red Wings1010000023-11010000023-10000000000000.00023500110026931403352323300.00%8275.00%0548103852.79%506103948.70%22442352.96%2013278125
9Edmonton Oilers11000000404110000004040000000000021.0004711012020311271201446284125.00%30100.00%0548103852.79%506103948.70%22442352.96%2518217126
10Florida Panthers1000010023-1000000000001000010023-110.5002460002001809722488274125.00%40100.00%0548103852.79%506103948.70%22442352.96%2113248146
11Montreal Canadiens22000000606110000003031100000030341.000611170241105120161506213202811436.36%100100.00%1548103852.79%506103948.70%22442352.96%463149152412
12New York Islanders211000005411010000023-11100000031220.5005813002210541925100441631408112.50%8275.00%1548103852.79%506103948.70%22442352.96%453149132513
13New York Rangers1010000024-21010000024-20000000000000.00024600110027681302881019500.00%5180.00%0548103852.79%506103948.70%22442352.96%2619217116
14Ottawa Senators11000000523110000005230000000000021.00051015003110479102802556186350.00%3166.67%0548103852.79%506103948.70%22442352.96%2720207126
15Philadelphia Flyers2010000135-21010000012-11000000123-110.2503690011104616820450162142600.00%8187.50%0548103852.79%506103948.70%22442352.96%453053142512
16Phoenix Coyotes201010004401010000012-11000100032120.5004812001111721827252611424449111.11%7185.71%0548103852.79%506103948.70%22442352.96%543944142412
17Pittsburgh Penguins200000115501000000134-11000001021130.750571200004165271615127917185710110.00%8275.00%0548103852.79%506103948.70%22442352.96%503553162512
18St. Louis Blues20101000990100010005411010000045-120.50091827004221522017123621625549333.33%10370.00%0548103852.79%506103948.70%22442352.96%503444142512
19Toronto Maple Leafs2110000057-21010000014-31100000043120.5005914002120582220160662014474125.00%7185.71%0548103852.79%506103948.70%22442352.96%453048132511
Total301310022128670161777011014839913630111138317360.60086159245052925293856260275305238302243256711222520.49%1242083.87%3548103852.79%506103948.70%22442352.96%717495724226379188
21Vegas Golden Knights11000000422110000004220000000000021.000481200103030111180226626100.00%3166.67%1548103852.79%506103948.70%22442352.96%2214247136
22Washington Capitals11000000431000000000001100000043121.00047110003102961013030131229100.00%6183.33%0548103852.79%506103948.70%22442352.96%2013266126
23Winnipeg Jets11000000505000000000001100000050521.00059140102303510121301758187114.29%30100.00%0548103852.79%506103948.70%22442352.96%2315248126
_Since Last GM Reset301310022128670161777011014839913630111138317360.60086159245052925293856260275305238302243256711222520.49%1242083.87%3548103852.79%506103948.70%22442352.96%717495724226379188
_Vs Conference188500212454051035001012325-28500011122157220.611458012503151514150215514419218514144189382701420.00%791383.54%2548103852.79%506103948.70%22442352.96%421290447137228112
_Vs Division1033001122325-2503001011016-6530000111394110.5502340630048101270867798162778211021836411.11%43979.07%1548103852.79%506103948.70%22442352.96%2371652527612663

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3036W18615924585683022432567105
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
30131022128670
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
177711014839
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
136311113831
Derniers 10 Matchs
WLOTWOTL SOWSOL
440101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1222520.49%1242083.87%3
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
260275305232925293
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
548103852.79%506103948.70%22442352.96%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
717495724226379188


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 Islanders3Columbus Blue Jackets2LSommaire du Match
20 - 2019-09-21129Columbus Blue Jackets4Toronto Maple Leafs3WSommaire du Match
23 - 2019-09-24148Carolina Hurricanes3Columbus Blue Jackets2LXSommaire du Match
25 - 2019-09-26165Columbus Blue Jackets2Philadelphia Flyers3LXXSommaire du Match
29 - 2019-09-30189Edmonton Oilers0Columbus Blue Jackets4WSommaire du Match
31 - 2019-10-02200Columbus Blue Jackets4St. Louis Blues5LSommaire du Match
32 - 2019-10-03212Calgary Flames2Columbus Blue Jackets5WSommaire du Match
35 - 2019-10-06227Vegas Golden Knights2Columbus Blue Jackets4WSommaire du Match
37 - 2019-10-08246Columbus Blue Jackets3Phoenix Coyotes2WXSommaire du Match
39 - 2019-10-10260Columbus Blue Jackets2Colorado Avalanche4LR3Sommaire du Match
42 - 2019-10-13273Columbus Blue Jackets3Montreal Canadiens0WSommaire du Match
45 - 2019-10-16297St. Louis Blues4Columbus Blue Jackets5WXSommaire du Match
49 - 2019-10-20322Montreal Canadiens0Columbus Blue Jackets3WSommaire du Match
51 - 2019-10-22337Detroit Red Wings3Columbus Blue Jackets2LSommaire du Match
53 - 2019-10-24352Columbus Blue Jackets5Winnipeg Jets0WSommaire du Match
55 - 2019-10-26369Ottawa Senators2Columbus Blue Jackets5WSommaire du Match
57 - 2019-10-28384Philadelphia Flyers2Columbus Blue Jackets1LSommaire du Match
59 - 2019-10-30400Pittsburgh Penguins4Columbus Blue Jackets3LXXSommaire du Match
60 - 2019-10-31410Columbus Blue Jackets3New York Islanders1WSommaire du Match
63 - 2019-11-03429Phoenix Coyotes2Columbus Blue Jackets1LSommaire du Match
65 - 2019-11-05444New York Rangers4Columbus Blue Jackets2LSommaire du Match
67 - 2019-11-07458Columbus Blue Jackets2Florida Panthers3LXSommaire du Match
69 - 2019-11-09469Columbus Blue Jackets4Washington Capitals3WSommaire du Match
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
Assistance96,01881,60032,16063,45115,759
Attendance PCT94.14%96.00%94.59%93.31%92.70%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 16999 - 94.44% 601,326$10,222,550$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
17,652,248$ 46,630,111$ 4,500,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
46,630,111$ 17,283,265$ 0$ 20 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
14,431,835$ 118 254,706$ 30,055,308$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
33,334,933$ 46,630,111$ 165,213,545$ 146,310,447$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Ryan Nugent-HopkinsAGE:26PO:87OV:75
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:75
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
Ryan HaggertyAGE:26PO:59OV:62
*Jake EvansAGE:23PO:62OV:61
Emil PetterssonAGE:25PO:60OV: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:62
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
Dan HamhuisAGE:36PO:38OV:69
Madison BoweyAGE:24PO:68OV:65
Ryan SproulAGE:26PO:67OV:65
Josiah DidierAGE:26PO:60OV:61
Jeremy RoyAGE:22PO:74OV:60
Kyle BurroughsAGE:23PO:71OV:60
Brennan MenellAGE:22PO:63OV:60
Will O'NeillAGE:31PO:54OV:60
Braden HoltbyAGE:29PO:50OV:87
*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
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



[2019-11-18 13:53:36] - TRADE : From Vegas Golden Knights to Columbus Blue Jackets : Dan Hamhuis (68).
[2019-11-18 13:53:36] - TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Brian Lashoff (64), Y:15-RND:4-Clb, Y:15-RND:5-Clb, Y:19-RND:6-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.



[2019-12-09 05:01:10] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.0
[2019-12-02 09:15:15] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.0
[2019-11-30 05:13:55] Last 30 Days Farm Star : 1 - Phil Varone of Wild (15-15-30) / 2 - Oscar Lindberg of Monsters (13-12-25) / 3 - Adam Erne of Heat (14-9-23)
[2019-11-26 05:15:16] Last 7 Days Pro Star : 1 - Elias Lindholm of Nashville Predators (7-1-8) / 2 - Brayden Point of Buffalo Sabres (4-4-8) / 3 - David Pastrnak of Columbus Blue Jackets (3-3-6)
[2019-11-23 07:34:18] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.0
[2019-11-21 13:30:04] Game 337 - Mike Matheson from Columbus Blue Jackets is injured (Strained Back) and is out for 1 month.
[2019-11-19 11:40:44] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-11-18 13:53:36] TRADE : From Vegas Golden Knights to Columbus Blue Jackets : Dan Hamhuis (68).
[2019-11-18 13:53:36] TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Brian Lashoff (64), Y:15-RND:4-Clb, Y:15-RND:5-Clb, Y:19-RND:6-Clb.
[2019-11-12 07:59:31] Last 7 Days Pro Star : 1 - Taylor Hall of Washington Capitals (5-1-6) / 2 - Erik Johnson of Anaheim Ducks (0-4-4) / 3 - Braden Holtby of Columbus Blue Jackets (0,941)
[2019-11-12 07:58:52] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.0
[2019-11-06 04:48:45] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.2.0.0
[2019-11-06 04:48:45] Columbus Blue Jackets Email Address was changed to Pathologick@hotmail.com.
[2019-11-05 05:10:23] Last 7 Days Farm Star : 1 - Oscar Lindberg of Monsters (4-3-7) / 2 - Conor Sheary of Roadrunners (4-2-6) / 3 - Vitek Vanecek of Bears (0,959)
[2019-11-05 05:10:23] Last 7 Days Pro Star : 1 - Ryan Nugent-Hopkins of Columbus Blue Jackets (7-2-9) / 2 - Aleksander Barkov of Colorado Avalanche (4-6-10) / 3 - Leon Draisaitl of Colorado Avalanche (3-4-7)
[2019-11-03 10:19:36] Oscar Lindberg from Monsters has scored a Hat Trick!
[2019-11-02 09:40:29] Ryan Nugent-Hopkins from Columbus Blue Jackets has scored a Hat Trick!
[2019-10-29 09:13:22] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7



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
143013100221286701617770110148399136301111383173686159245052925293856260275305238302243256711222520.49%1242083.87%3548103852.79%506103948.70%22442352.96%717495724226379188
Total Saison Régulière3013100221286701617770110148399136301111383173686159245052925293856260275305238302243256711222520.49%1242083.87%3548103852.79%506103948.70%22442352.96%717495724226379188