Connexion

Blue Jackets
GP: 59 | W: 31 | L: 23 | OTL: 5 | P: 67
GF: 177 | GA: 165 | PP%: 24.12% | PK%: 75.00%
DG: | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #944 vs Kings
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Centre de jeu
Senators
31-25-5, 67pts
3
FINAL
1 Blue Jackets
31-23-5, 67pts
Team Stats
L1StreakL2
17-10-2Home Record16-12-1
14-15-3Away Record15-11-4
8-2-0Last 10 Games5-5-0
2.64Buts par match 3.00
2.72Buts contre par match 2.80
17.58%Pourcentage en avantage numérique24.12%
80.10%Pourcentage en désavantage numérique75.00%
Blue Jackets
31-23-5, 67pts
0
FINAL
2 Ducks
25-22-11, 61pts
Team Stats
L2StreakW2
16-12-1Home Record10-16-4
15-11-4Away Record15-6-7
5-5-0Last 10 Games4-3-3
3.00Buts par match 2.78
2.80Buts contre par match 3.09
24.12%Pourcentage en avantage numérique19.62%
75.00%Pourcentage en désavantage numérique79.78%
Kings
30-20-9, 69pts
2022-10-09
Blue Jackets
31-23-5, 67pts
Statistiques d’équipe
SOL1SéquenceL2
15-11-3Fiche domicile16-12-1
15-9-6Fiche visiteur15-11-4
7-1-210 derniers matchs5-5-0
3.00Buts par match 3.00
2.86Buts contre par match 3.00
20.00%Pourcentage en avantage numérique24.12%
72.97%Pourcentage en désavantage numérique75.00%
Blue Jackets
31-23-5, 67pts
2022-10-11
Bruins
33-25-3, 69pts
Statistiques d’équipe
L2SéquenceL1
16-12-1Fiche domicile15-13-1
15-11-4Fiche visiteur18-12-2
5-5-010 derniers matchs6-4-0
3.00Buts par match 2.87
2.80Buts contre par match 2.87
24.12%Pourcentage en avantage numérique18.38%
75.00%Pourcentage en désavantage numérique83.00%
Blue Jackets
31-23-5, 67pts
2022-10-13
Predators
19-31-7, 45pts
Statistiques d’équipe
L2SéquenceW1
16-12-1Fiche domicile9-18-2
15-11-4Fiche visiteur10-13-5
5-5-010 derniers matchs4-6-0
3.00Buts par match 2.35
2.80Buts contre par match 2.35
24.12%Pourcentage en avantage numérique20.59%
75.00%Pourcentage en désavantage numérique79.79%
Meneurs d'équipe
Oliver BjorkstrandButs
Oliver Bjorkstrand
22
Zach WerenskiPasses
Zach Werenski
46
Zach WerenskiPoints
Zach Werenski
65
Vladislav GavrikovPlus/Moins
Vladislav Gavrikov
14
Elvis MerzlikinsVictoires
Elvis Merzlikins
27
Joonas KorpisaloPourcentage d’arrêts
Joonas Korpisalo
0.908

Statistiques d’équipe
Buts pour
177
3.00 GFG
Tirs pour
1796
30.44 Avg
Pourcentage en avantage numérique
24.1%
48 GF
Début de zone offensive
41.7%
Buts contre
165
2.80 GAA
Tirs contre
1748
29.63 Avg
Pourcentage en désavantage numérique
75.0%
37 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur général
EntraîneurBrad Larsen
DivisionMetropolitan
ConférenceEastern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomNationwide Arena
Capacité18,500
Assistance17,099
Billets de saison7,400


Informations de la formation

Équipe Pro26
Équipe Mineure12
Limite contact 38 / 20
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé63,925,471$
Plafond salarial disponible26,074,529$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial26


Finance

Revenu annuel à ce jour43,776,754$
Dépenses annuelles à ce jour47,797,051$
Revenus de la saison estimés18,114,519$
Dépenses de la saison estimées21,378,420$
Compte bancaire actuel4,983,925$
Compte bancaire projeté1,332,672$


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
1Boone JennerX95.0075369170819088718973768269758761407302813,750,000$
2Oliver BjorkstrandXX99.0064379279708890776078796279717052407102755,400,000$
3Jakub VoracekXX98.0056338573838889795987666078897750407103238,250,000$
4Alex WennbergX99.0058369373808890738373727774757370407102730$
5Alexandre TexierX100.0058358778768682747570687477656671406902221,525,000$
6Jack RoslovicX100.0055359575738690757874746177697076406902511,838,362$
7Sean KuralyX100.0085397964818588648466658463737045406902942,500,000$
8Nathan GerbeX100.007545767472777767656763686185752840670341750,000$
9Cole SillingerX100.006539797082859567826669637362668640660193925,000$
10Eric RobinsonX100.007436946581828662596563706369713540660261975,000$
11Yegor ChinakhovX100.006536937176818669566569567164648040650212925,000$
12Emil BemstromX100.006437927174787968716369596764655840650231925,000$
13Zach WerenskiX99.0056389079849586793084777659706982407202415,000,000$
14Vladislav GavrikovX99.0073378165869290663077638551707244406902622,800,000$
15Adam BoqvistX100.005934927774888371307572605864658540670211894,167$
16Jake BeanX100.0056358874778986713073636753666781406602332,333,333$
17Gabriel CarlssonX100.007438946388797464307263665267687440650251725,000$
18Scott HarringtonX100.0070388861808281583066617251717256406402911,633,333$
Rayé
1Patrik LaineX96.0069398577948986796378826381697287407302417,500,000$
2Gustav NyquistXX100.0057349177688882776980728472817434407203225,500,000$
3Justin DanforthXX100.006635866764818264716368656370713540650291750,000$
4Brendan GaunceX100.007638846486828963786265606368706640650281750,000$
5Andrew PeekeX100.008742776584928465307458915266677340690242787,005$
6Dean KukanX100.0066368965788681623071596352697135406402811,650,000$
Équipe Mineure
1Liam FoudyX100.006038887079867069786762677164658240650221894,167$
2Kevin StenlundX96.0075368563898173667266676265687065406502511,050,000$
3Kasper BjorkqvistX98.0068388266787382645564645763666871406302410$
4Carson MeyerX98.006139786570838566586370596366685340630241820,000$
5Josh DunneX100.0082427658898166607358616657656742406202310$
6Tyler AngleX98.005836906568888964596660566464665740620213850,833$
7Tyler SikuraX98.006839846179828160676360606171733440620301750,000$
8Gavin BayreutherX100.006951766177817664307364645169713540630282750,000$
9Jake ChristiansenX100.0064378363738385633064655461646651406202210$
10Billy SweezeyX99.0073376354816389563055555445676941405802610$
11Zac RinaldoX100.009950716883626160506561695179732940650311750,000$
MOYENNE D’ÉQUIPE99.20683885687983836757696667637070584066
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
1Elvis Merzlikins99.009192898390899190899190718352407202814,000,000$
2Joonas Korpisalo98.008283828481808281808281728256406702812,800,000$
Rayé
Équipe Mineure
1Jean-Francois Berube95.007872848184687879796071658669406203010$
MOYENNE D’ÉQUIPE97.3384828583857984838378816984594067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Larsen72707377676281CAN453750,000$


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
1Zach WerenskiBlue JacketsD59194665222101889132359514.39%84153526.02101626761801123128110.00%000000.8500101062
2Oliver BjorkstrandBlue JacketsLW/RW592230521014063701885513911.70%9124921.183912351690112565021.189800000.8301000532
3Gustav NyquistBlue JacketsLW/RW401328417602076162451068.02%1495323.846915361180001883123.8434100010.8613000321
4Jakub VoracekBlue JacketsLW/RW59152641780476215738829.55%9119220.22156271680002333020.2211200000.6911000141
5Alex WennbergBlue JacketsC552021416155501611914814110.47%8114620.84448311380111694120.84134500010.7201000433
6Andrew PeekeBlue JacketsD4862632410525122577024388.57%61108822.674101441144101261000.00%000000.5900032002
7Vladislav GavrikovBlue JacketsD59922311444101177974416312.16%106130922.206814461620000108200.00%000100.4700020115
8Patrik LaineBlue JacketsLW42121729-1255745113226999.09%699623.733912201241011832123.7318900000.5823100122
9Boone JennerBlue JacketsC4111152692558711711944919.24%8101324.724913231220112951024.72130700010.5103001313
10Adam BoqvistBlue JacketsD5942125518048567019475.71%53127221.57347381540111115000.00%000000.3900000102
11Alexandre TexierBlue JacketsC5911920060154678145114.10%34167.06325103800007007.0649400000.9600000220
12Jack RoslovicBlue JacketsC5910818-100056697196310.31%262610.6300000000000010.6347700000.5700000102
13Jake BeanBlue JacketsD5911314-81603464374192.70%5689815.230111035000026000.00%000000.3100000100
14Eric RobinsonBlue JacketsLW597512-1816085397816558.97%1092515.691011058000001015.694300000.2600000013
15Justin DanforthBlue JacketsC/RW33459-78039195312367.55%246814.19022528000042014.192800000.3800000010
16Sean KuralyBlue JacketsC59549-937586676323737.94%175849.9100031300002009.9152100000.3100001010
17Gabriel CarlssonBlue JacketsD32156-13160381416696.25%2044914.0500001000121100.00%000000.2700000000
18Yegor ChinakhovBlue JacketsRW31134-34022174520392.22%250116.19000438000000016.193700000.1600000000
19Scott HarringtonBlue JacketsD28213-51603017105920.00%2639614.1600000011026200.00%000000.1500000002
20Dean KukanBlue JacketsD15033-3601191330.00%815810.590000100009000.00%000000.3800000000
21Tyler AngleMonsters (CLB)LW121230404611169.09%017114.3200000000001014.321400000.3500000000
22Nathan GerbeBlue JacketsC59011-1209312160.00%01011.720001200004001.721400000.2000000000
23Cole SillingerBlue JacketsC59000000020100.00%1350.6000000000030000.602200000.00%00000000
24Emil BemstromBlue JacketsC26000000000000.00%050.200000000005000.20200000.00%00000000
25Zac RinaldoMonsters (CLB)C9000000000000.00%030.350000000003000.00%300000.00%00000000
26Brendan GaunceBlue JacketsC14000000020000.00%050.390000000005000.39400000.00%00000000
Statistiques d’équipe totales ou en moyenne1134174311485-144136510241189179650012709.69%5051750815.44488813641617013691698928450.80%505100130.55412255232730
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
1Elvis MerzlikinsBlue Jackets52272050.9062.7730736314215090510.83312527422
2Joonas KorpisaloBlue Jackets94300.9082.6849320222380000.00%0752010
Statistiques d’équipe totales ou en moyenne61312350.9062.7635668316417470510.833125959432


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 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
Adam BoqvistBlue JacketsD212000-08-15No189 Lbs6 ft0NoNoNo1Pro & Farm894,167$272,554$894,167$272,554$NoLien / Lien NHL
Alex WennbergBlue JacketsC271994-09-22No197 Lbs6 ft2NoNoNo3Pro & Farm4,500,000$1,371,658$0$0$No4,500,000$4,500,000$Lien
Alexandre TexierBlue JacketsC221999-09-13No186 Lbs6 ft1NoNoNo2Pro & Farm1,525,000$464,840$1,525,000$464,840$No1,525,000$Lien / Lien NHL
Andrew PeekeBlue JacketsD241998-03-17No196 Lbs6 ft3NoNoNo2Pro & Farm787,005$239,889$787,005$239,889$No787,005$Lien / Lien NHL
Boone JennerBlue JacketsC281993-06-15No205 Lbs6 ft2NoNoNo1Pro & Farm3,750,000$1,143,048$3,750,000$1,143,048$NoLien / Lien NHL
Brendan GaunceBlue JacketsC281994-03-25No214 Lbs6 ft3NoNoNo1Pro & Farm750,000$228,610$750,000$228,610$NoLien / Lien NHL
Cole SillingerBlue JacketsC192003-05-16No203 Lbs6 ft2NoNoNo3Pro & Farm925,000$281,952$925,000$281,952$No925,000$925,000$Lien
Dean KukanBlue JacketsD281993-07-08No190 Lbs6 ft2NoNoNo1Pro & Farm1,650,000$502,941$1,650,000$502,941$NoLien / Lien NHL
Elvis MerzlikinsBlue JacketsG281994-04-13No183 Lbs6 ft3NoNoNo1Pro & Farm4,000,000$1,219,251$4,000,000$1,219,251$NoLien / Lien NHL
Emil BemstromBlue JacketsC231999-06-01No193 Lbs6 ft0NoNoNo1Pro & Farm925,000$281,952$925,000$281,952$NoLien / Lien NHL
Eric RobinsonBlue JacketsLW261995-06-14No201 Lbs6 ft2NoNoNo1Pro & Farm975,000$297,193$975,000$297,193$NoLien / Lien NHL
Gabriel CarlssonBlue JacketsD251997-01-02No195 Lbs6 ft5NoNoNo1Pro & Farm725,000$220,989$725,000$220,989$NoLien / Lien NHL
Gustav NyquistBlue JacketsLW/RW321989-09-01No176 Lbs5 ft11NoNoNo2Pro & Farm5,500,000$1,676,471$5,500,000$1,676,471$No5,500,000$Lien / Lien NHL
Jack RoslovicBlue JacketsC251997-01-29No193 Lbs6 ft1NoNoNo1Pro & Farm1,838,362$560,356$1,838,362$560,356$NoLien / Lien NHL
Jake BeanBlue JacketsD231998-06-09No176 Lbs6 ft1NoNoNo3Pro & Farm2,333,333$711,230$2,333,333$711,230$No2,333,333$2,333,333$Lien / Lien NHL
Jakub VoracekBlue JacketsLW/RW321989-08-15No209 Lbs6 ft2NoNoNo3Pro & Farm8,250,000$2,514,706$8,250,000$2,514,706$No8,250,000$8,250,000$Lien / Lien NHL
Joonas KorpisaloBlue JacketsG281994-04-28No193 Lbs6 ft3NoNoNo1Pro & Farm2,800,000$853,476$2,800,000$853,476$NoLien / Lien NHL
Justin DanforthBlue JacketsC/RW291993-03-15No180 Lbs5 ft9NoNoNo1Pro & Farm750,000$228,610$750,000$228,610$NoLien
Nathan GerbeBlue JacketsC341987-07-24No176 Lbs5 ft6NoNoNo1Pro & Farm750,000$228,610$750,000$228,610$NoLien / Lien NHL
Oliver BjorkstrandBlue JacketsLW/RW271995-04-10No177 Lbs6 ft0NoNoNo5Pro & Farm5,400,000$1,645,989$5,400,000$1,645,989$No5,400,000$5,400,000$5,400,000$5,400,000$Lien / Lien NHL
Patrik LaineBlue JacketsLW241998-04-19No216 Lbs6 ft5NoNoNo1Pro & Farm7,500,000$2,286,096$7,500,000$2,286,096$NoLien / Lien NHL
Scott HarringtonBlue JacketsD291993-03-10No204 Lbs6 ft2NoNoNo1Pro & Farm1,633,333$497,861$1,633,333$497,861$NoLien / Lien NHL
Sean KuralyBlue JacketsC291993-01-20No205 Lbs6 ft2NoNoNo4Pro & Farm2,500,000$762,032$2,500,000$762,032$No2,500,000$2,500,000$2,500,000$Lien / Lien NHL
Vladislav GavrikovBlue JacketsD261995-11-21No213 Lbs6 ft3NoNoNo2Pro & Farm2,800,000$853,476$2,800,000$853,476$No2,800,000$Lien / Lien NHL
Yegor ChinakhovBlue JacketsRW212001-02-01No189 Lbs6 ft1NoNoNo2Pro & Farm925,000$281,952$925,000$281,952$No925,000$Lien
Zach WerenskiBlue JacketsD241997-07-19No213 Lbs6 ft2NoNoNo1Pro & Farm5,000,000$1,524,064$5,000,000$1,524,064$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.23195 Lbs6 ft11.772,668,700$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
69,386,200$35,445,338$23,908,333$7,900,000$5,400,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oliver BjorkstrandBoone JennerJakub Voracek40122
2Eric RobinsonAlex WennbergYegor Chinakhov30122
3Sean KuralyJack RoslovicAlexandre Texier20122
4Boone JennerSean KuralyAlex Wennberg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiVladislav Gavrikov40122
2Adam BoqvistJake Bean30122
3Gabriel CarlssonScott Harrington20122
4Zach WerenskiVladislav Gavrikov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oliver BjorkstrandBoone JennerJakub Voracek60122
2Eric RobinsonAlex WennbergYegor Chinakhov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiVladislav Gavrikov60122
2Adam BoqvistJake Bean40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Boone JennerAlex Wennberg60122
2Oliver BjorkstrandJakub Voracek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiVladislav Gavrikov60122
2Adam BoqvistJake Bean40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Boone Jenner60122Zach WerenskiVladislav Gavrikov60122
2Alex Wennberg40122Adam BoqvistJake Bean40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Boone JennerAlex Wennberg60122
2Oliver BjorkstrandJakub Voracek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiVladislav Gavrikov60122
2Adam BoqvistJake Bean40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oliver BjorkstrandBoone JennerJakub VoracekZach WerenskiVladislav Gavrikov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oliver BjorkstrandBoone JennerJakub VoracekZach WerenskiVladislav Gavrikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Gerbe, Cole Sillinger, Emil BemstromNathan Gerbe, Cole SillingerEmil Bemstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Carlsson, Scott Harrington, Adam BoqvistGabriel CarlssonScott Harrington, Adam Boqvist
Tirs de pénalité
Boone Jenner, Alex Wennberg, Oliver Bjorkstrand, Jakub Voracek, Jack Roslovic
Gardien
#1 : Elvis Merzlikins, #2 : Joonas Korpisalo
Lignes d’attaque personnalisées en prolongation
Boone Jenner, Alex Wennberg, Oliver Bjorkstrand, Jakub Voracek, Jack Roslovic, Sean Kuraly, Sean Kuraly, Alexandre Texier, Nathan Gerbe, Eric Robinson, Cole Sillinger
Lignes de défense personnalisées en prolongation
Zach Werenski, Vladislav Gavrikov, Adam Boqvist, Jake Bean, Gabriel Carlsson


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
1Avalanche21100000532110000005231010000001-120.5005914003110732721250621583410330.00%20100.00%01103208252.98%1028204250.34%43587050.00%473247152513
2BlackHawks2110000047-3110000003211010000015-420.50044800130061142918056146327114.29%3166.67%01103208252.98%1028204250.34%43587050.00%483346142412
3Blues21100000541110000004221010000012-120.50059140022107236142205311627600.00%30100.00%01103208252.98%1028204250.34%43587050.00%473448132311
4Bruins1010000034-11010000034-10000000000000.000369000210341481202548135120.00%3233.33%01103208252.98%1028204250.34%43587050.00%2517227126
5Canucks210010001165110000007341000100043141.000111728003611662328141401210458337.50%4175.00%01103208252.98%1028204250.34%43587050.00%513645142512
6Capitals41100110161512010001078-12100010097250.6251627430066321153143331413336166611545.45%7271.43%01103208252.98%1028204250.34%43587050.00%976997265125
7Coyotes11000000312000000000001100000031221.00035800201027881101224133133.33%000.00%01103208252.98%1028204250.34%43587050.00%2820186127
8Devils31101000761100010005412110000022040.66771320012041100363825110427375711218.18%8187.50%01103208252.98%1028204250.34%43587050.00%775668203518
9Ducks1010000002-2000000000001010000002-200.0000000000002798100269419200.00%20100.00%01103208252.98%1028204250.34%43587050.00%2417247115
10Flames21100000743211000007430000000000020.50071421001420542112210551517385240.00%5180.00%01103208252.98%1028204250.34%43587050.00%453149152512
11Flyers21100000440110000003121010000013-220.500481210400063172125047711315120.00%3166.67%01103208252.98%1028204250.34%43587050.00%493544142613
12Golden Knights2020000036-31010000013-21010000023-100.000369001110391111170641916235120.00%8187.50%01103208252.98%1028204250.34%43587050.00%412753152412
13Hurricaines311010001314-11010000037-421001000107340.6671324370035418219342548933325911545.45%13653.85%11103208252.98%1028204250.34%43587050.00%704771214020
14Islanders31100100990210001007521010000024-230.50091726005220893525290893816498450.00%8275.00%01103208252.98%1028204250.34%43587050.00%684773213818
15Jets22000000633110000002111100000042241.000612180041106127191504714113912325.00%3166.67%01103208252.98%1028204250.34%43587050.00%483345142513
16Kings11000000431000000000001100000043121.00046100040002715660188615400.00%20100.00%01103208252.98%1028204250.34%43587050.00%2214237137
17Kraken2110000023-11010000002-21100000021120.50024600110053191915058162734700.00%40100.00%01103208252.98%1028204250.34%43587050.00%463249142311
18Lightning11000000523110000005230000000000021.00059140021204013121503122185240.00%110.00%01103208252.98%1028204250.34%43587050.00%2518226126
19Oilers1010000023-11010000023-10000000000000.00023500200032149903110617400.00%30100.00%01103208252.98%1028204250.34%43587050.00%2416227136
20Panthers20100100810-20000000000020100100810-210.25081321004130611427128772122383133.33%11372.73%01103208252.98%1028204250.34%43587050.00%473151152512
21Penguins42100010990210000105232110000047-360.7509142301530112242443361423946751400.00%12191.67%01103208252.98%1028204250.34%43587050.00%9265106284522
22Predators1010000024-21010000024-20000000000000.000246001100306111303013211100.00%10100.00%01103208252.98%1028204250.34%43587050.00%2316236126
23Rangers40200110915-62010001046-22010010059-430.37591524005121112383040711637265813538.46%12375.00%01103208252.98%1028204250.34%43587050.00%976798285125
24Red Wings21001000743110000004221000100032141.00071320000241702720203552223436116.67%4175.00%01103208252.98%1028204250.34%43587050.00%473249142412
25Sabres11000000413000000000001100000041321.0004812001210237610030104114125.00%20100.00%01103208252.98%1028204250.34%43587050.00%2114257126
26Senators2110000067-11010000013-21100000054120.50061016005010621714310652214439222.22%6266.67%01103208252.98%1028204250.34%43587050.00%503646132311
27Sharks1010000034-11010000034-10000000000000.000358000300287156023710183133.33%5260.00%01103208252.98%1028204250.34%43587050.00%2315237126
28Stars311010001192201010007701100000042240.6671120310062211093345301104271866900.00%9544.44%11103208252.98%1028204250.34%43587050.00%694673223819
29Wild21000100936000000000002100010093630.75091625011440641721224661513328337.50%40100.00%11103208252.98%1028204250.34%43587050.00%463149162612
Total592323055301771651229111202130908193012110340087843670.568177311488137454419179659759856449174850542110241994824.12%1483775.00%31103208252.98%1028204250.34%43587050.00%14089801424427741370
_Since Last GM Reset592323055301771651229111202130908193012110340087843670.568177311488137454419179659759856449174850542110241994824.12%1483775.00%31103208252.98%1028204250.34%43587050.00%14089801424427741370
_Vs Conference321111034301001000155501130474431766023005356-3380.5941001772771242252779733103223104310032982575611053028.57%902572.22%11103208252.98%1028204250.34%43587050.00%770540776226400200
_Vs Division2378023306772-5113301130343311245012003339-6270.5876711818512301715668321823521032720217184395732230.14%631674.60%11103208252.98%1028204250.34%43587050.00%552387560161290144

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5967L217731148817961748505421102413
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5923235530177165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29111221309081
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30121134008784
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1994824.12%1483775.00%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
597598564497454419
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
1103208252.98%1028204250.34%43587050.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14089801424427741370


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 - 2022-05-317Blue Jackets7Wild0AWSommaire du match
3 - 2022-06-0222Hurricaines7Blue Jackets3BLSommaire du match
4 - 2022-06-0330Blue Jackets3Rangers4ALXSommaire du match
6 - 2022-06-0549Flames3Blue Jackets2BLSommaire du match
9 - 2022-06-0872Devils4Blue Jackets5BWXSommaire du match
11 - 2022-06-1085Blue Jackets4Kings3AWSommaire du match
13 - 2022-06-12101Penguins0Blue Jackets2BWSommaire du match
15 - 2022-06-14113Blue Jackets2Islanders4ALSommaire du match
18 - 2022-06-17130Blue Jackets4Panthers5ALXSommaire du match
20 - 2022-06-19144Blue Jackets2Penguins1AWSommaire du match
22 - 2022-06-21154Flyers1Blue Jackets3BWSommaire du match
24 - 2022-06-23169Blue Jackets4Capitals5ALXSommaire du match
26 - 2022-06-25185Capitals3Blue Jackets1BLSommaire du match
27 - 2022-06-26191Blue Jackets1Devils0AWSommaire du match
30 - 2022-06-29215Blue Jackets5Hurricaines4AWXSommaire du match
31 - 2022-06-30222Rangers3Blue Jackets0BLSommaire du match
36 - 2022-07-05251Islanders3Blue Jackets2BLXSommaire du match
38 - 2022-07-07264Blue Jackets2Wild3ALXSommaire du match
40 - 2022-07-09277Blue Jackets3Coyotes1AWSommaire du match
41 - 2022-07-10287Oilers3Blue Jackets2BLSommaire du match
44 - 2022-07-13304Blue Jackets5Capitals2AWSommaire du match
45 - 2022-07-14317Jets1Blue Jackets2BWSommaire du match
49 - 2022-07-18342Blue Jackets4Jets2AWSommaire du match
50 - 2022-07-19351Capitals5Blue Jackets6BWXXSommaire du match
53 - 2022-07-22377Bruins4Blue Jackets3BLSommaire du match
55 - 2022-07-24388Blue Jackets2Golden Knights3ALSommaire du match
58 - 2022-07-27410Kraken2Blue Jackets0BLSommaire du match
60 - 2022-07-29425Blue Jackets0Avalanche1ALSommaire du match
63 - 2022-08-01443Predators4Blue Jackets2BLSommaire du match
65 - 2022-08-03459Blue Jackets4Stars2AWSommaire du match
67 - 2022-08-05470Penguins2Blue Jackets3BWXXSommaire du match
69 - 2022-08-07485Blue Jackets1Blues2ALSommaire du match
71 - 2022-08-09498Blue Jackets5Senators4AWSommaire du match
72 - 2022-08-10511Lightning2Blue Jackets5BWSommaire du match
75 - 2022-08-13527Blue Jackets2Rangers5ALSommaire du match
77 - 2022-08-15541Stars4Blue Jackets5BWXSommaire du match
81 - 2022-08-19568Blues2Blue Jackets4BWSommaire du match
85 - 2022-08-23594Red Wings2Blue Jackets4BWSommaire du match
87 - 2022-08-25610Blue Jackets1Devils2ALSommaire du match
89 - 2022-08-27624Rangers3Blue Jackets4BWXXSommaire du match
91 - 2022-08-29637Blue Jackets1BlackHawks5ALSommaire du match
93 - 2022-08-31653Blue Jackets1Flyers3ALSommaire du match
94 - 2022-09-01665Canucks3Blue Jackets7BWSommaire du match
97 - 2022-09-04688Flames1Blue Jackets5BWSommaire du match
100 - 2022-09-07710Blue Jackets4Sabres1AWSommaire du match
102 - 2022-09-09721Sharks4Blue Jackets3BLSommaire du match
104 - 2022-09-11733Blue Jackets3Red Wings2AWXSommaire du match
106 - 2022-09-13746Blue Jackets5Hurricaines3AWSommaire du match
107 - 2022-09-14759Golden Knights3Blue Jackets1BLSommaire du match
110 - 2022-09-17783Avalanche2Blue Jackets5BWSommaire du match
112 - 2022-09-19796Blue Jackets2Penguins6ALSommaire du match
114 - 2022-09-21812Blue Jackets4Canucks3AWXSommaire du match
115 - 2022-09-22823BlackHawks2Blue Jackets3BWSommaire du match
118 - 2022-09-25846Stars3Blue Jackets2BLSommaire du match
122 - 2022-09-29873Blue Jackets4Panthers5ALSommaire du match
123 - 2022-09-30883Islanders2Blue Jackets5BWSommaire du match
126 - 2022-10-03903Blue Jackets2Kraken1AWSommaire du match
128 - 2022-10-05914Senators3Blue Jackets1BLSommaire du match
130 - 2022-10-07935Blue Jackets0Ducks2ALSommaire du match
132 - 2022-10-09944Kings-Blue Jackets-
134 - 2022-10-11959Blue Jackets-Bruins-
136 - 2022-10-13976Blue Jackets-Predators-
137 - 2022-10-14983Wild-Blue Jackets-
140 - 2022-10-171004Blue Jackets-Flyers-
142 - 2022-10-191015Ducks-Blue Jackets-
146 - 2022-10-231040Hurricaines-Blue Jackets-
148 - 2022-10-251057Blue Jackets-Islanders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-10-271072Sabres-Blue Jackets-
153 - 2022-10-301098Blue Jackets-Maple Leafs-
154 - 2022-10-311103Hurricaines-Blue Jackets-
156 - 2022-11-021116Blue Jackets-Lightning-
159 - 2022-11-051136Maple Leafs-Blue Jackets-
160 - 2022-11-061143Blue Jackets-Canadiens-
163 - 2022-11-091165Blue Jackets-Kings-
165 - 2022-11-111177Devils-Blue Jackets-
169 - 2022-11-151201Canadiens-Blue Jackets-
171 - 2022-11-171224Coyotes-Blue Jackets-
173 - 2022-11-191237Blue Jackets-Flames-
177 - 2022-11-231259Panthers-Blue Jackets-
182 - 2022-11-281286Flyers-Blue Jackets-
183 - 2022-11-291299Blue Jackets-Oilers-
184 - 2022-11-301301Blue Jackets-Sharks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000250040001000
Prix des billets100603525200
Assistance159,068135,47070,292102,66728,371
Attendance PCT91.42%93.43%96.95%88.51%97.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 17099 - 92.43% 1,509,543$43,776,754$18500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
47,797,051$ 69,386,200$ 64,886,200$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
346,985$ 44,147,326$ 0$ 26 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
18,114,519$ 57 375,060$ 21,378,420$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
21,765,772$ 4,983,925$ 1,332,672$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
63,925,471$ 26,074,529$ 90,000,000$ 63,925,471$



Charte de profondeur

Ailier gaucheCentreAilier droit
Patrik LaineAGE:24PO:87OV:73
Gustav NyquistAGE:32PO:34OV:72
Oliver BjorkstrandAGE:27PO:52OV:71
Jakub VoracekAGE:32PO:50OV:71
Eric RobinsonAGE:26PO:35OV:66
Tyler AngleAGE:21PO:57OV:62
Boone JennerAGE:28PO:61OV:73
Alex WennbergAGE:27PO:70OV:71
Jack RoslovicAGE:25PO:76OV:69
Alexandre TexierAGE:22PO:71OV:69
Sean KuralyAGE:29PO:45OV:69
Nathan GerbeAGE:34PO:28OV:67
Cole SillingerAGE:19PO:86OV:66
Liam FoudyAGE:22PO:82OV:65
Brendan GaunceAGE:28PO:66OV:65
Kevin StenlundAGE:25PO:65OV:65
Emil BemstromAGE:23PO:58OV:65
Justin DanforthAGE:29PO:35OV:65
Zac RinaldoAGE:31PO:29OV:65
Josh DunneAGE:23PO:42OV:62
Tyler SikuraAGE:30PO:34OV:62
Gustav NyquistAGE:32PO:34OV:72
Oliver BjorkstrandAGE:27PO:52OV:71
Jakub VoracekAGE:32PO:50OV:71
Yegor ChinakhovAGE:21PO:80OV:65
Justin DanforthAGE:29PO:35OV:65
Kasper BjorkqvistAGE:24PO:71OV:63
Carson MeyerAGE:24PO:53OV:63

Défense #1Défense #2Gardien
Zach WerenskiAGE:24PO:82OV:72
Andrew PeekeAGE:24PO:73OV:69
Vladislav GavrikovAGE:26PO:44OV:69
Adam BoqvistAGE:21PO:85OV:67
Jake BeanAGE:23PO:81OV:66
Gabriel CarlssonAGE:25PO:74OV:65
Scott HarringtonAGE:29PO:56OV:64
Dean KukanAGE:28PO:35OV:64
Gavin BayreutherAGE:28PO:35OV:63
Jake ChristiansenAGE:22PO:51OV:62
Billy SweezeyAGE:26PO:41OV:58
Elvis MerzlikinsAGE:28PO:52OV:72
Joonas KorpisaloAGE:28PO:56OV:67
Jean-Francois BerubeAGE:30PO:69OV: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

Choix au repêchage

Année R1R2R3R4R5
2
3
4
5
6




La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[2022-06-01 10:14:54] - New Record for Team's Most Shots (45) in 1 Game for Blue Jackets!
[2022-06-01 08:42:36] - New Record for Team's Most Shots (43) in 1 Game for Blue Jackets!
[2022-06-01 08:06:46] - New Record for Team's Most Shots (42) in 1 Game for Blue Jackets!
[2022-05-31 20:08:51] - New Record for Team's Most Shots Blocked (15) in 1 Game for Blue Jackets!
[2022-05-31 20:08:30] - New Record for Team's Most Penalties Minutes (25) in 1 Game for Blue Jackets!
[2022-05-31 20:08:30] - New Record for Team's Most Shots (38) in 1 Game for Blue Jackets!
[2022-05-31 20:08:08] - New Record for Team's Most Shots (35) in 1 Game for Blue Jackets!
[2022-05-31 19:50:02] - New Record for Team's Most Hits (25) in 1 Game for Blue Jackets!
[2022-05-31 19:50:02] - New Record for Team's Most Penalties Minutes (10) in 1 Game for Blue Jackets!
[2022-05-31 19:50:02] - New Record for Team's Most Shots Blocked (14) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Hits (12) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Penalties Minutes (7) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Shots Blocked (10) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Shots (34) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Points (19) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Assists (12) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Goals (7) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Points (19) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Assists (12) in 1 Game for Blue Jackets!
[2022-05-31 19:49:54] - New Record for Team's Most Goals (7) in 1 Game for Blue Jackets!
[2022-05-31 14:47:43] - Alex Wennberg was added to Blue Jackets.



[2022-06-01 10:16:29] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:16:25] Auto Lines Function has been run for Blue Jackets.
[2022-06-01 10:16:25] Patrik Laine from Blue Jackets is back from Exhaustion.
[2022-06-01 10:16:25] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:16:20] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:16:18] Patrik Laine from Blue Jackets is injured from Exhaustion.
[2022-06-01 10:16:16] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:16:13] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:16:01] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:15:56] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:15:47] Zac Rinaldo from Monsters is back from Bruised Right Shoulder Injury.
[2022-06-01 10:15:42] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:15:42] Farm Game #855 - Gavin Bayreuther from Monsters has scored a Hat Trick!
[2022-06-01 10:15:37] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2022-06-01 10:15:23] Andrew Peeke from Blue Jackets is back from Sore Right Knee Injury.
[2022-06-01 10:15:23] Gustav Nyquist from Blue Jackets is back from Exhaustion.
[2022-06-01 10:15:23] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.



Pas de blessure ou de suspension.


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

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

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

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

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