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Columbus Blue Jackets
GP: 14 | W: 7 | L: 7
GF: 30 | GA: 31 | PP%: 19.57% | PK%: 80.49%
DG: Jean Deslauriers | Morale : 99 | Moyenne d’équipe : 72
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Centre de jeu
Florida Panthers
16-8-0, 32pts
2
FINAL
1 Columbus Blue Jackets
7-7-0, 14pts
Team Stats
W3StreakL3
10-3-0Home Record4-2-0
6-5-0Away Record3-5-0
6-4-0Last 10 Games6-4-0
3.79Goals Per Game2.14
3.38Goals Against Per Game2.21
23.01%Power Play Percentage19.57%
78.21%Penalty Kill Percentage80.49%
Columbus Blue Jackets
7-7-0, 14pts
1
FINAL
2 Florida Panthers
16-8-0, 32pts
Team Stats
L3StreakW3
4-2-0Home Record10-3-0
3-5-0Away Record6-5-0
6-4-0Last 10 Games6-4-0
2.14Goals Per Game3.79
2.21Goals Against Per Game3.38
19.57%Power Play Percentage23.01%
80.49%Penalty Kill Percentage78.21%
Meneurs d'équipe
Brad MarchandButs
Brad Marchand
8
Brad MarchandPasses
Brad Marchand
8
Brad MarchandPoints
Brad Marchand
16
Brad MarchandPlus/Moins
Brad Marchand
5
Connor HellebuyckVictoires
Connor Hellebuyck
7
Connor HellebuyckPourcentage d’arrêts
Connor Hellebuyck
0.935

Statistiques d’équipe
Buts pour
30
2.14 GFG
Tirs pour
484
34.57 Avg
Pourcentage en avantage numérique
19.6%
9 GF
Début de zone offensive
38.5%
Buts contre
31
2.21 GAA
Tirs contre
480
34.29 Avg
Pourcentage en désavantage numérique
80.5%
16 GA
Début de la zone défensive
41.9%
Informations de l'équipe

Directeur généralJean Deslauriers
EntraîneurJim Montgomery
DivisionMETROPOLITAINE
ConférenceEASTERN CONFERENCE
Capitaine
Assistant #1Brent Burns
Assistant #2


Informations de l’aréna

NomNationwide Arena
Capacité18,000
Assistance18,000
Billets de saison7,200


Informations de la formation

Équipe Pro21
Équipe Mineure43
Limite contact 64 / 100
Espoirs10


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible81,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour11,353,800$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel200,787,241$
Compte bancaire projeté200,787,241$


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 SPÂgeContratSalaire moyen
1Brad Marchand0XX100.0091446282658592876292907482858136807823446,125,000$
2Pavel Zacha0XXX100.0069429077898188888678747269706882707322522,000,000$
3Charlie Coyle0XXX100.0078458874878590768273727974807561607223035,250,000$
4Robby Fabbri0XXX100.0079398679698482787675786373727375777002612,900,000$
5Alex Formenton0X100.007056797981878869676671746265666880692222900,000$
6Filip Chytil0XX100.006242897686868074827072667066687757682222850,000$
7Kevin Stenlund 0X100.0084559072928786637768687065525087676722511,000,000$
8Patrick Maroon0XX100.0093868265868584645572646865777755676703441,800,000$
9Mason Marchment0XX100.008748866990857667717065645873694977660262800,000$
10Milan Lucic0XX100.0092556963898087625868666463857741656603441,000,000$
11Logan OConnor0XXX100.008245786780808068756667646668687177650252996,000$
12Nicolas Deslauriers0XX100.009875606487868264556262666282774749651312800,000$
13Brent Burns (A)0X100.0074448176919289833088758961908037807823747,720,000$
14Joel Edmundson0X100.0084496869908890663070699456787157567522824,250,000$
15P.K. Subban0X100.0080436273778887743075707558847853807223318,000,000$
16Nathan Beaulieu0X100.0081507067808285673067598152807361727002912,000,000$
17Scott Mayfield0X100.0050409277758388653069618445727680717022921,500,000$
18Andrew Peeke 0X100.008745776786757868306964745760597243682242925,000$
Rayé
1Cody Ceci0X100.0081418475828787703074639249787266747502813,400,000$
Équipe Mineure
1Denis Malgin 0XXX100.0064389279688672687369676168696651576602521,800,000$
2Daniel Carr43XX100.006742856573757165646465686480725373650304750,000$
3Lane Pederson0X100.008849796882777664766664656468646072650241900,000$
4Zack MacEwen0XX100.0087827961867888676665635965716748846502511,200,000$
5Keegan Kolesar0XX100.006645906889747268636763596068666358642251725,000$
6Markus Hannikainen0X100.006242886678797664546262646376705163640291700,000$
7Calvin Thurkauf (R)0XXX100.008755696382777861666261656056567761630242833,000$
8Marian Studenic (R)0X100.006655717368787772506464616251467645630232833,000$
9Brett Sutter0XXX100.006049875973868858656261665385824963630352850,000$
10Karson Kuhlman0X100.006141896169747357606166616171665335610262800,000$
11Trey Fix Wolansky0X100.005546846564807964545660655962646455610232950,000$
12Mason Shaw0XX100.005240876566737160716060666063616535601232996,000$
13Gabriel Carlsson 0X100.005937926992807767306462745569688371682251700,000$
14Dean Kukan0X100.007641876379817864306962764876703332680281700,000$
15Mark Alt0X100.006951865687858856306060654580825355660302650,000$
16Ryan Merkley (R)0X100.007740656768757566606062756062626646660212800,000$
17Thomas Gregoire0X100.005044896168828160306159654666655456620232850,000$
18Ryan Collins (R)0X100.006360815870708055305453675655497232602261652,000$
19Jordan Harris (R)0X100.00606060616160606060606070606141148590212842,500$
20Morgan Barron (R)0X100.008169676391838364766569696262627657660232800,000$
21Austin Wagner (R)0XX100.008755787078778766606565626350505747641241700,000$
22Jayden Halbgewachs0XX100.006542866768858761705962595966646055620252996,000$
23Justin Scott0X100.006953775878807958665755595469655631600263750,000$
24Alex Broadhurst0X100.005541895970858457646055535574685720590291650,000$
25Ryan Suzuki (R)0X100.006140607060777560576058604460606320590212894,167$
26Nick Moutrey0X100.007451855588858452555153575370665819581263750,000$
27Tyler Bird (R)0X100.005560666060707760556060605560608920580252800,000$
28Mitchell Hoelscher (R)0X100.006045776060787355626060605560608920580222900,000$
29Zachary Gallant (R)0X100.00695068566871705560556060556060120570232800,000$
30Ozzy Wiesblatt (R)0X100.006645605567756755505556606060607720570202897,500$
31Marco Rossi (R)0X100.00606060606060606065606060606040120560203894,167$
32Paul Bittner (R)0X100.00606060606060606060606060606040120560251800,000$
33T.J. Tynan0X100.00593878666277796776660626376695320550301750,000$
34Nathan Clurman (R)0X100.005555605678727355305154605561617619580241842,500$
MOYENNE D’ÉQUIPE100.00805079728385857156726974627571626970
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 SPÂgeContratSalaire moyen
1Connor Hellebuyck100.009695959295989897979696888185799122936,000,000$
2Linus Ullmark100.008880778987868888878887757955648202831,500,000$
Rayé
Équipe Mineure
1Anton Forsberg100.007780808278807878767674788354737702911,000,000$
2Alex Dorio100.00727877827275727472717165547753710272650,000$
3Ian Scott (R)100.00707870777070706670727070707720690231805,833$
4Kaden Fulcher100.00717277777170717172707150544420680232800,000$
5Jack Flinn (R)100.00778084846566656970726845457720670252650,000$
6Matthew Villalta (R)100.00707371766968706967696862666520670232925,000$
7Colten Ellis (R)100.0065656565656565656565656540120620213850,833$
8Jack LaFontaine (R)100.0065656565656565656565656540120620241910,909$
9Peter Thome (R)100.0065656565656565656565656540120620251800,000$
MOYENNE D’ÉQUIPE100.0092888691919293939292928280707287
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Montgomery75837476777173CAN5142,500,000$


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’équipePOSGP 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
1Brad MarchandColumbus Blue JacketsLW/RW1488165420321661132913.11%828820.583367390000161140.00%25133011.1100000201
2Brent BurnsColumbus Blue JacketsD14369-16022354618166.52%3938927.842351140000176100.00%01314000.4600000210
3Robby FabbriColumbus Blue JacketsC/LW/RW144595401644518338.89%526018.571121033000001040.00%25134000.6900000011
4Charlie CoyleColumbus Blue JacketsC/LW/RW1416740014193013183.33%627419.581238370000110050.18%28186000.5100000000
5P.K. SubbanColumbus Blue JacketsD143472240261840897.50%2036926.40112442000242100.00%01011000.3800000001
6Pavel ZachaColumbus Blue JacketsC/LW/RW1333600010164716216.38%121016.21011328000031047.06%20473100.5700000011
7Filip ChytilColumbus Blue JacketsC/LW14314-1607283410238.82%524117.25011040008820153.81%210122000.3300000010
8Kevin Stenlund Columbus Blue JacketsC1412320066207135.00%21399.9500012000000054.84%9375000.4300000010
9Logan OConnorColumbus Blue JacketsC/LW/RW1403310074208170.00%11339.51000000000100100.00%372000.4500000000
10Cody CeciColumbus Blue JacketsD11022300151916270.00%1326524.10011326000141000.00%0213000.1500000000
11Joel EdmundsonColumbus Blue JacketsD14112-1140312319685.26%1734824.86101530000075100.00%0213000.1100000001
12Mason MarchmentColumbus Blue JacketsC/LW14022000137144200.00%218213.01000000003270060.00%25100000.2200000000
13Nathan BeaulieuColumbus Blue JacketsD1402251409149440.00%1219614.050000000009000.00%008000.2000000000
14Scott MayfieldColumbus Blue JacketsD1402232022112850.00%1021915.6900026000116000.00%018000.1801000000
15Alex FormentonColumbus Blue JacketsLW14112010016103826242.63%122115.85011433000000025.00%8213000.1800000000
16Dean KukanCleveland Monsters (COB)D1011000000000.00%033.850000000000000.00%000005.1900000000
17Denis Malgin Cleveland Monsters (COB)C/LW/RW21010000341025.00%1178.8300000000000081.82%1121001.1300000000
18Milan LucicColumbus Blue JacketsLW/RW14011122018139650.00%122616.16000000000710042.86%709000.0900000000
19Nicolas DeslauriersColumbus Blue JacketsLW/RW1310126026760416.67%013910.74000000000191044.44%922000.1400000000
20Patrick MaroonColumbus Blue JacketsLW/RW14011-160231212180.00%426118.710000390001240041.18%1714000.0800000000
21Andrew Peeke Columbus Blue JacketsD3000140612000.00%13612.020000000000000.00%010000.0000000000
22Gabriel Carlsson Cleveland Monsters (COB)D1000000010000.00%033.680000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne2543051813016002992774841692646.20%149442817.449142358365000175217250.54%918132111110.3701000455
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
1Connor HellebuyckColumbus Blue Jackets147520.9352.049102031480229100.0000140332
Statistiques d’équipe totales ou en moyenne147520.9352.049102031480229100.0000140332


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 Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex FormentonColumbus Blue JacketsLW221999-09-13No165 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$900,000$0$No900,000$Lien
Andrew Peeke Columbus Blue JacketsD241998-03-17 06:26:24No198 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$925,000$0$No925,000$Lien
Brad MarchandColumbus Blue JacketsLW/RW341988-05-11No181 Lbs6 ft7NoNoNo4Pro Only6,125,000$6,125,000$6,125,000$0$No6,125,000$6,125,000$6,125,000$Lien / Lien NHL
Brent BurnsColumbus Blue JacketsD371985-03-09No230 Lbs7 ft3NoNoNo4Pro Only8,000,000$7,720,000$7,720,000$0$No8,000,000$8,000,000$8,000,000$Lien / Lien NHL
Charlie CoyleColumbus Blue JacketsC/LW/RW301992-03-02No220 Lbs6 ft3NoNoNo3Pro Only5,250,000$5,250,000$5,250,000$0$No5,250,000$5,250,000$Lien / Lien NHL
Cody CeciColumbus Blue JacketsD281993-12-21No210 Lbs7 ft0NoNoNo1Pro Only3,400,000$3,400,000$3,400,000$0$NoLien / Lien NHL
Connor HellebuyckColumbus Blue JacketsG291993-05-19No207 Lbs7 ft2NoNoNo3Pro Only6,000,000$6,000,000$6,000,000$0$No6,000,000$6,000,000$Lien / Lien NHL
Filip ChytilColumbus Blue JacketsC/LW221999-09-05No206 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$850,000$0$No850,000$Lien
Joel EdmundsonColumbus Blue JacketsD281993-06-28No215 Lbs6 ft4NoNoNo2Pro Only4,250,000$4,250,000$4,250,000$0$No4,250,000$Lien / Lien NHL
Kevin Stenlund Columbus Blue JacketsC251996-09-20 15:29:47No209 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$0$No
Linus UllmarkColumbus Blue JacketsG281993-07-31No215 Lbs6 ft4NoNoNo3Pro & Farm1,500,000$1,500,000$1,500,000$0$No1,500,000$1,500,000$Lien / Lien NHL
Logan OConnorColumbus Blue JacketsC/LW/RW251996-08-17 14:57:19No174 Lbs6 ft0NoNoNo2Pro & Farm996,000$996,000$996,000$0$No996,000$
Mason MarchmentColumbus Blue JacketsC/LW261995-06-18No220 Lbs6 ft4NoNoNo2Pro & Farm800,000$800,000$800,000$0$No800,000$Lien
Milan LucicColumbus Blue JacketsLW/RW341988-06-07No231 Lbs6 ft3NoNoNo4Pro & Farm1,000,000$1,000,000$1,000,000$0$No1,000,000$1,000,000$1,000,000$Lien / Lien NHL
Nathan BeaulieuColumbus Blue JacketsD291992-12-05No200 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$2,000,000$2,000,000$0$NoLien / Lien NHL
Nicolas DeslauriersColumbus Blue JacketsLW/RW311991-02-22No219 Lbs6 ft3NoNoNo2Pro & Farm800,000$800,000$800,000$0$No800,000$Lien / Lien NHL
P.K. SubbanColumbus Blue JacketsD331989-05-13No210 Lbs6 ft0NoNoNo1Pro Only8,000,000$8,000,000$8,000,000$0$NoLien / Lien NHL
Patrick MaroonColumbus Blue JacketsLW/RW341988-04-23No231 Lbs6 ft2NoNoNo4Pro & Farm1,800,000$1,800,000$1,800,000$0$No1,800,000$1,800,000$1,800,000$Lien / Lien NHL
Pavel ZachaColumbus Blue JacketsC/LW/RW251997-04-06No210 Lbs6 ft3NoNoNo2Pro & Farm2,000,000$2,000,000$2,000,000$0$No2,000,000$Lien / Lien NHL
Robby FabbriColumbus Blue JacketsC/LW/RW261996-01-22No190 Lbs5 ft10NoNoNo1Pro Only2,900,000$2,900,000$2,900,000$0$NoLien / Lien NHL
Scott MayfieldColumbus Blue JacketsD291992-10-14No222 Lbs6 ft4NoNoNo2Pro & Farm1,500,000$1,500,000$1,500,000$0$No1,500,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.52208 Lbs6 ft42.292,856,952$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
59,996,000$42,696,000$29,675,000$16,925,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandCharlie CoyleRobby Fabbri35131
2Alex FormentonPavel ZachaPatrick Maroon30122
3Mason MarchmentFilip ChytilMilan Lucic20122
4Logan OConnorKevin Stenlund Nicolas Deslauriers15221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJoel Edmundson35122
2Scott MayfieldP.K. Subban35131
3Andrew Peeke Nathan Beaulieu20131
4Brent BurnsP.K. Subban10014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandCharlie CoylePatrick Maroon60014
2Alex FormentonPavel ZachaRobby Fabbri40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsP.K. Subban60113
2Scott MayfieldJoel Edmundson40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Filip ChytilMilan Lucic60131
2Mason MarchmentPatrick Maroon40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJoel Edmundson60131
2Scott MayfieldP.K. Subban40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Filip Chytil60140Brent BurnsJoel Edmundson60140
2Kevin Stenlund 40140Scott MayfieldP.K. Subban40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Charlie CoyleBrad Marchand60122
2Pavel ZachaRobby Fabbri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJoel Edmundson60122
2Scott MayfieldP.K. Subban40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandCharlie CoyleRobby FabbriBrent BurnsP.K. Subban
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandCharlie CoyleRobby FabbriBrent BurnsJoel Edmundson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Stenlund , Logan OConnor, Milan LucicKevin Stenlund , Logan OConnorNicolas Deslauriers
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Mayfield, P.K. Subban, Nathan BeaulieuScott MayfieldJoel Edmundson, Nathan Beaulieu
Tirs de pénalité
Charlie Coyle, Brad Marchand, Pavel Zacha, Robby Fabbri, Alex Formenton
Gardien
#1 : Connor Hellebuyck, #2 : Linus Ullmark
Lignes d’attaque personnalisées en prolongation
Alex Formenton, Brad Marchand, Robby Fabbri, Charlie Coyle, Pavel Zacha, Filip Chytil, Filip Chytil, Milan Lucic, Logan OConnor, Patrick Maroon, Kevin Stenlund
Lignes de défense personnalisées en prolongation
Brent Burns, Joel Edmundson, P.K. Subban, Scott Mayfield, Nathan Beaulieu


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
TotalDomicileVisiteur
# 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
1Carolina Hurricanes7430000018162321000009724220000099080.57118314900666025181767618253807613424833.33%38878.95%018935353.54%18438547.79%9118050.56%1671041766411958
2Florida Panthers734000001215-33210000054141300000711-460.4291220320045212337576691322769861652214.55%44881.82%018935353.54%18438547.79%9118050.56%1631001716411655
Total1477000003031-16420000014113835000001620-4140.500305181001011814841561521453148014916229946919.57%821680.49%018935353.54%18438547.79%9118050.56%330204347129235113
_Since Last GM Reset1477000003031-16420000014113835000001620-4140.500305181001011814841561521453148014916229946919.57%821680.49%018935353.54%18438547.79%9118050.56%330204347129235113
_Vs Conference1477000003031-16420000014113835000001620-4140.500305181001011814841561521453148014916229946919.57%821680.49%018935353.54%18438547.79%9118050.56%330204347129235113
_Vs Division7430000018162321000009724220000099080.57118314900666025181767618253807613424833.33%38878.95%018935353.54%18438547.79%9118050.56%1671041766411958

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1414L330518148448014916229900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
147700003031
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64200001411
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
83500001620
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
46919.57%821680.49%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
15615214531101181
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
18935353.54%18438547.79%9118050.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
330204347129235113


Derniers matchs 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 - 2021-10-123Columbus Blue Jackets1Carolina Hurricanes4ALSommaire du match
3 - 2021-10-1411Columbus Blue Jackets1Carolina Hurricanes2ALXSommaire du match
5 - 2021-10-1619Carolina Hurricanes2Columbus Blue Jackets4BWSommaire du match
7 - 2021-10-1827Carolina Hurricanes3Columbus Blue Jackets2BLXSommaire du match
9 - 2021-10-2035Columbus Blue Jackets4Carolina Hurricanes2AWSommaire du match
11 - 2021-10-2243Carolina Hurricanes2Columbus Blue Jackets3BWSommaire du match
13 - 2021-10-2451Columbus Blue Jackets3Carolina Hurricanes1AWSommaire du match
15 - 2021-10-2658Columbus Blue Jackets2Florida Panthers1AWSommaire du match
17 - 2021-10-2862Columbus Blue Jackets2Florida Panthers3ALSommaire du match
19 - 2021-10-3066Florida Panthers1Columbus Blue Jackets2BWXSommaire du match
21 - 2021-11-0170Florida Panthers1Columbus Blue Jackets2BWSommaire du match
23 - 2021-11-0374Columbus Blue Jackets2Florida Panthers5ALSommaire du match
25 - 2021-11-0578Florida Panthers2Columbus Blue Jackets1BLSommaire du match
27 - 2021-11-0782Columbus Blue Jackets1Florida Panthers2ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance36,00030,00012,00024,0006,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 18000 - 100.00% 1,892,300$11,353,800$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 60,796,000$ 60,516,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 16,314,228$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 200,787,241$ 200,787,241$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 81,500,000$ 81,500,000$ -60,200,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brad MarchandAGE:34PO:36OV:78
Pavel ZachaAGE:25PO:82OV:73
Charlie CoyleAGE:30PO:61OV:72
Robby FabbriAGE:26PO:75OV:70
Alex FormentonAGE:22PO:68OV:69
Filip ChytilAGE:22PO:77OV:68
Patrick MaroonAGE:34PO:55OV:67
Denis Malgin AGE:25PO:51OV:66
Mason MarchmentAGE:26PO:49OV:66
Milan LucicAGE:34PO:41OV:66
Logan OConnorAGE:25PO:71OV:65
Daniel CarrAGE:30PO:53OV:65
Nicolas DeslauriersAGE:31PO:47OV:65
Austin Wagner (R)AGE:24PO:57OV:64
Markus HannikainenAGE:29PO:51OV:64
Calvin Thurkauf (R)AGE:24PO:77OV:63
Brett SutterAGE:35PO:49OV:63
Jayden HalbgewachsAGE:25PO:60OV:62
Mason ShawAGE:23PO:65OV:60
Nick MoutreyAGE:26PO:58OV:58
Paul Bittner (R)AGE:25PO:1OV:56
Pavel ZachaAGE:25PO:82OV:73
Charlie CoyleAGE:30PO:61OV:72
Robby FabbriAGE:26PO:75OV:70
Filip ChytilAGE:22PO:77OV:68
Kevin Stenlund AGE:25PO:87OV:67
Morgan Barron (R)AGE:23PO:76OV:66
Denis Malgin AGE:25PO:51OV:66
Mason MarchmentAGE:26PO:49OV:66
Logan OConnorAGE:25PO:71OV:65
Lane PedersonAGE:24PO:60OV:65
Zack MacEwenAGE:25PO:48OV:65
Keegan KolesarAGE:25PO:63OV:64
Calvin Thurkauf (R)AGE:24PO:77OV:63
Brett SutterAGE:35PO:49OV:63
Jayden HalbgewachsAGE:25PO:60OV:62
Karson KuhlmanAGE:26PO:53OV:61
Mason ShawAGE:23PO:65OV:60
Justin ScottAGE:26PO:56OV:60
Ryan Suzuki (R)AGE:21PO:63OV:59
Alex BroadhurstAGE:29PO:57OV:59
Mitchell Hoelscher (R)AGE:22PO:89OV:58
Zachary Gallant (R)AGE:23PO:1OV:57
Marco Rossi (R)AGE:20PO:1OV:56
T.J. TynanAGE:30PO:53OV:55
Brad MarchandAGE:34PO:36OV:78
Pavel ZachaAGE:25PO:82OV:73
Charlie CoyleAGE:30PO:61OV:72
Robby FabbriAGE:26PO:75OV:70
Patrick MaroonAGE:34PO:55OV:67
Denis Malgin AGE:25PO:51OV:66
Milan LucicAGE:34PO:41OV:66
Logan OConnorAGE:25PO:71OV:65
Daniel CarrAGE:30PO:53OV:65
Zack MacEwenAGE:25PO:48OV:65
Nicolas DeslauriersAGE:31PO:47OV:65
Keegan KolesarAGE:25PO:63OV:64
Austin Wagner (R)AGE:24PO:57OV:64
Calvin Thurkauf (R)AGE:24PO:77OV:63
Marian Studenic (R)AGE:23PO:76OV:63
Brett SutterAGE:35PO:49OV:63
Trey Fix WolanskyAGE:23PO:64OV:61
Tyler Bird (R)AGE:25PO:89OV:58
Ozzy Wiesblatt (R)AGE:20PO:77OV:57

Défense #1Défense #2Gardien
Brent BurnsAGE:37PO:37OV:78
Cody CeciAGE:28PO:66OV:75
Joel EdmundsonAGE:28PO:57OV:75
P.K. SubbanAGE:33PO:53OV:72
Scott MayfieldAGE:29PO:80OV:70
Nathan BeaulieuAGE:29PO:61OV:70
Gabriel Carlsson AGE:25PO:83OV:68
Andrew Peeke AGE:24PO:72OV:68
Dean KukanAGE:28PO:33OV:68
Ryan Merkley (R)AGE:21PO:66OV:66
Mark AltAGE:30PO:53OV:66
Thomas GregoireAGE:23PO:54OV:62
Ryan Collins (R)AGE:26PO:72OV:60
Jordan Harris (R)AGE:21PO:1OV:59
Nathan Clurman (R)AGE:24PO:76OV:58
Connor HellebuyckAGE:29PO:85OV:91
Linus UllmarkAGE:28PO:55OV:82
Anton ForsbergAGE:29PO:54OV:77
Alex DorioAGE:27PO:77OV:71
Ian Scott (R)AGE:23PO:77OV:69
Kaden FulcherAGE:23PO:44OV:68
Jack Flinn (R)AGE:25PO:77OV:67
Matthew Villalta (R)AGE:23PO:65OV:67
Colten Ellis (R)AGE:21PO:1OV:62
Jack LaFontaine (R)AGE:24PO:1OV:62
Peter Thome (R)AGE:25PO:1OV:62

Espoirs

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Aiden HreschukColumbus Blue Jackets2021103
Andrei BuyalskyColumbus Blue Jackets202194
Ilya Fedotov Columbus Blue Jackets202154
Jaroslav ChmelarColumbus Blue Jackets2021155
Marcus DavidssonColumbus Blue Jackets201741
Owen McLaughlinColumbus Blue Jackets2021215
Theo JacobssonColumbus Blue Jackets2021187
Veeti Vainio Columbus Blue Jackets2015141
Victor StjernborgColumbus Blue Jackets2021123
Yegor ZaitsevColumbus Blue Jackets2017211

Choix au repêchage

Année R1R2R3R4R5R6R7
7WIN COB TOR COB COB COB
8COB SAJ COB COB COB COB COB COB
9COB COB COB COB COB COB COB
10COB COB COB COB COB COB COB
11COB COB COB COB COB COB COB



La course des stars vert les séries

Par Jean Francois Marleau (Dallas Stars) Le Thursday 31st March 2022 / 3:50pm

La course au séries est très serré et les stars sont pas si loin d'une calcification grâce au récent succès du trio Tatar - Crosby- Anderson  et l'excellence de la défensive .Nutivara apporte exactement se qu'on lui demandait à sont arrivés ,les unités spéciales se replace ,Fleury et oettinger font un bon travail devant le filet . 7-2-1 dans les 10 dernière partie si les stars peuve répéter cette exploit ont sera en très bonne position. Rien n'est joué le calendrier se resserre et l'on affrontera des équipes très bien placé ça sera difficile m'es possible.

   
   
   

 

Voir commentaires (1)
Jean Deslauriers (Columbus Blue Jackets) Le 2nd April / 2:44pm :
3 étoiles de la semaine
1 - Nick Schmaltz of New York Rangers (7-1-8)
2 - Adam Fox of New York Rangers (2-7-9)
3 - Brad Marchand of Columbus Blue Jackets (2-6-8)
Nouveau commentaire



[2022-05-25 11:10:07] - Columbus Blue Jackets was eliminated at round 2 of year 6.
[2022-05-06 22:28:41] - Cleveland Monsters didn't make playoff for year 6.
[2022-04-13 15:00:17] - Peter Thome was added to Columbus Blue Jackets.
[2022-04-13 15:00:11] - Paul Bittner was added to Columbus Blue Jackets.
[2022-04-13 15:00:06] - Marco Rossi was added to Columbus Blue Jackets.
[2022-04-13 15:00:00] - Jordan Harris was added to Columbus Blue Jackets.
[2022-04-13 14:59:55] - Jack LaFontaine was added to Columbus Blue Jackets.
[2022-04-13 14:58:48] - Colte Ellis was added to Columbus Blue Jackets.
[2022-04-13 13:47:15] - Colten Ellis has been deleted from Columbus Blue Jackets.
[2022-04-13 13:47:07] - Jack LaFontaine has been deleted from Columbus Blue Jackets.
[2022-04-13 13:46:56] - Jordan Harris has been deleted from Columbus Blue Jackets.
[2022-04-13 13:46:49] - Marco Rossi has been deleted from Columbus Blue Jackets.
[2022-04-13 13:46:39] - Paul Bittner has been deleted from Columbus Blue Jackets.
[2022-04-13 13:46:32] - Peter Thome has been deleted from Columbus Blue Jackets.
[2022-03-22 09:33:01] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Mattias Janmark (70).
[2022-03-22 09:33:01] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Y:7-RND:3-TOR.
[2022-03-22 09:16:25] - TRADE : From Columbus Blue Jackets to San Jose Sharks : Brendan Gallagher (73), Brett Kulak (70), Claude Giroux (80).
[2022-03-22 09:16:25] - TRADE : From San Jose Sharks to Columbus Blue Jackets : Alex Formenton (70), P.K. Subban (73), Y:7-RND:1-WIN, Y:8-RND:1-SAJ.



[2022-05-31 20:15:13] Cody Ceci from Columbus Blue Jackets is back from Bruised Left Shoulder Injury.
[2022-05-26 21:08:07] Last 30 Days Pro Star : 1 - Connor Hellebuyck of Columbus Blue Jackets (0,935) / 2 - Marc-Andre Fleury of Dallas Stars (0,943) / 3 - Sebastian Aho of Montreal Canadiens (9-11-20)
[2022-05-25 11:09:57] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-25 11:08:51] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-25 11:08:36] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-19 20:31:19] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-19 20:30:51] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-19 20:30:49] Andrew Peeke of Columbus Blue Jackets was sent to pro.
[2022-05-19 11:50:13] Last 7 Days Pro Star : 1 - Connor Hellebuyck of Columbus Blue Jackets (0,954) / 2 - Semyon Varlamov of Colorado Avalanche (0,968) / 3 - Mackenzie Blackwood of New Jersey Devils (0,953)
[2022-05-19 11:50:13] Game 70 - Cody Ceci from Columbus Blue Jackets is injured (Bruised Left Shoulder) and is out for 2 weeks.
[2022-05-19 11:50:06] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-19 11:49:20] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-17 21:33:33] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-17 21:33:15] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-16 20:29:02] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-16 20:28:38] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-13 22:34:50] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-13 22:34:34] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-13 10:37:43] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-13 10:37:23] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-13 10:37:23] Denis Malgin of Columbus Blue Jackets was sent down to farm.
[2022-05-12 18:04:07] Pavel Zacha from Columbus Blue Jackets is back from Right Leg Injury.
[2022-05-12 10:56:06] Connor Hellebuyck from Columbus Blue Jackets is back from Exhaustion.
[2022-05-12 10:55:57] Connor Hellebuyck from Columbus Blue Jackets injured (Exhaustion)
[2022-05-12 10:55:57] Pro Game #35 - Brad Marchand from Columbus Blue Jackets has scored a Hat Trick!
[2022-05-12 10:55:50] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-12 10:55:29] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-12 10:55:29] Denis Malgin of Columbus Blue Jackets was sent to pro.
[2022-05-11 18:54:06] Game 27 - Pavel Zacha from Columbus Blue Jackets is injured (Right Leg) and is out for 1 week.
[2022-05-10 14:45:23] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-10 14:44:57] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-10 14:44:43] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-09 11:29:37] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-09 11:26:29] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-09 11:26:03] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-05-08 07:48:05] Denis Malgin of Columbus Blue Jackets was sent to farm.
[2022-05-08 07:48:05] Dean Kukan of Columbus Blue Jackets was sent to farm.
[2022-05-08 07:48:05] Gabriel Carlsson of Columbus Blue Jackets was sent to farm.



Pas de blessure ou de suspension.


Columbus Blue Jackets Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Columbus Blue Jackets Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Columbus Blue Jackets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Columbus Blue Jackets Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Columbus Blue Jackets Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA