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Blue Jackets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Alexandre Nadeau | Morale : 70 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAlexandre Nadeau
EntraîneurUlf Samuelsson
DivisionAtlantique
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro13
Équipe Mineure18
Limite contact 31 / 60
Espoirs19


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique66-82-12 (0.413%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)4-7
Coupe Stanley0


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
1Matt CalvertXX100.006665927571606070706760856573730876903231,000,000$
2Cedric PaquetteXX100.00856085778166766779636474666868087680292900,000$
3Anton BlidhX100.008360847080706067706765736655550876702721,900,000$
4Greg McKeggXXX100.007160967074706265836364766560600876603031,900,000$
5Connor Dewar (R)XXX100.00726084747168606783646473665555087660233900,000$
6Zack MacEwen (R)X100.007990697083668967756363656555550906602621,900,000$
7Logan ShawX100.006660977079606067866064806659590876602931,000,000$
8Jonny BrodzinskiXX100.006360897078706067806263726555550876502931,900,000$
9Ben HarpurX100.007465826888746763506960776256560876902731,900,000$
10Anthony BitettoX100.00746569708060607050697168715858090670322900,000$
11Sebastian Aho Deff (R)X100.00686093707174606950726868695555088670263900,000$
Rayé
MOYENNE D’ÉQUIPE100.0073648571786765677165647466595908867
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
1Jon Gillies100.0071737594717163717382727270090722283900,000$
2Joseph Woll100.0076647186646463647064646464090662243900,000$
Rayé
MOYENNE D’ÉQUIPE100.007469739068686368727368686709069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ulf Samuelsson64807268737071SWE5722,000,000$


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’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
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


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 Plafond 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
Anthony BitettoBlue Jackets (CLB)D321990-07-15No210 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Anton BlidhBlue Jackets (CLB)LW271995-03-14No201 Lbs6 ft0NoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Ben HarpurBlue Jackets (CLB)D271995-01-12No222 Lbs6 ft6NoNoNo3Pro & Farm1,900,000$0$0$No1,900,000$1,900,000$Lien
Cedric PaquetteBlue Jackets (CLB)C/LW291993-08-13No198 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Connor DewarBlue Jackets (CLB)C/LW/RW231999-06-26Yes183 Lbs5 ft10NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Greg McKeggBlue Jackets (CLB)C/LW/RW301992-06-17No191 Lbs6 ft0NoNoNo3Pro & Farm1,900,000$0$0$No1,900,000$1,900,000$Lien
Jon GilliesBlue Jackets (CLB)G281994-01-22No223 Lbs6 ft6NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Jonny BrodzinskiBlue Jackets (CLB)LW/RW291993-06-19No217 Lbs6 ft1NoNoNo3Pro & Farm1,900,000$0$0$No1,900,000$1,900,000$Lien
Joseph WollBlue Jackets (CLB)G241998-07-12No203 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Logan ShawBlue Jackets (CLB)RW291992-10-05No208 Lbs6 ft3NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Matt CalvertBlue Jackets (CLB)LW/RW321989-12-24No186 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Sebastian Aho DeffBlue Jackets (CLB)D261996-02-17 08:42:05Yes184 Lbs5 ft11NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Zack MacEwenBlue Jackets (CLB)RW261996-07-08Yes205 Lbs6 ft3NoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1327.85202 Lbs6 ft22.691,300,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt CalvertCedric PaquetteLogan Shaw40122
2Anton BlidhConnor DewarZack MacEwen30122
3Jonny BrodzinskiGreg McKegg20122
4Cedric PaquetteMatt CalvertAnton Blidh10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurSebastian Aho Deff40122
2Anthony Bitetto30122
320122
4Ben HarpurSebastian Aho Deff10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt CalvertCedric PaquetteLogan Shaw60122
2Anton BlidhConnor DewarZack MacEwen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurSebastian Aho Deff60122
2Anthony Bitetto40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matt CalvertCedric Paquette60122
2Anton BlidhLogan Shaw40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurSebastian Aho Deff60122
2Anthony Bitetto40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matt Calvert60122Ben HarpurSebastian Aho Deff60122
2Cedric Paquette40122Anthony Bitetto40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt CalvertCedric Paquette60122
2Anton BlidhLogan Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurSebastian Aho Deff60122
2Anthony Bitetto40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt CalvertCedric PaquetteLogan ShawBen HarpurSebastian Aho Deff
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt CalvertCedric PaquetteLogan ShawBen HarpurSebastian Aho Deff
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Greg McKegg, Jonny Brodzinski, Zack MacEwenGreg McKegg, Jonny BrodzinskiZack MacEwen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Anthony Bitetto, Ben Harpur, Sebastian Aho DeffAnthony BitettoBen Harpur, Sebastian Aho Deff
Tirs de pénalité
Matt Calvert, Cedric Paquette, Anton Blidh, Logan Shaw, Zack MacEwen
Gardien
#1 : Jon Gillies, #2 : Joseph Woll


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,690,000$ 1,690,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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
1Anton Blidh1555647103-45944882795799.67%84291818.834486001148644.3110.7101
2Zack MacEwen825149100134619716835414.41%73148918.16911205200014251.7441.3411
3Anthony Bitetto154207696-211325171762627.63%267335621.80614201140114020.00%00.5700
4Freddie Hamilton8228659317349123026710.49%51142217.35413175100004149.9201.3100
5Jonny Brodzinski822461851224921272968.11%44135116.48616224300006052.5301.2600

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
1Ville Husso68243950.9074.23376212026528380100.7504
2Mike Condon59222690.8983.6334086020620120000.68419
3Ilya Samsonov2314720.9143.40139620799170100.90911
4Kevin Lankinen62000.8994.4820100151480000.00%0

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
Saison régulière
482263305873272301-2941151502342150147341111803531122154-32872724887600084948216266986189988354306289162121372936622.53%2755480.36%31346278448.35%1408300246.90%649132449.02%1956135419855981045521
202182244903411261386-12541152102300144168-244192801111117218-1016126146172200828887528538829571001193908112543420012234017.94%1934178.76%11159269543.01%1412335042.15%617143842.91%170512002270568971449
Total Saison régulière1645082081284533687-15482303604642294315-2182204604642239372-13314853394914820016618216921552217431856188473697020161055413851610620.54%4689579.70%42505547945.72%2820635244.40%1266276245.84%36622555425611662016971
Séries éliminatoires
41147000003651-15514000001422-8633000002229-783667103009141123881271041381938998108293511121.57%501374.00%022643551.95%19339548.86%10920054.50%2791922748614875
Total Séries éliminatoires1147000003651-15514000001422-8633000002229-783667103009141123881271041381938998108293511121.57%501374.00%022643551.95%19339548.86%10920054.50%2791922748614875

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
1Markus Granlund117613-423670719.86%329226.561231600010160.8800.8900
2Brian Gibbons117512-2410263818.42%226023.67224600000247.7300.9200
3Philip Varone11268-641827375.41%723821.681451100011053.7300.6700
4Byron Froese11268-481540306.67%322720.72134800000053.1900.7000
5Matt Read11437-4122182814.29%120018.21123500002050.0000.7000

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
1Mike Condon114600.8614.4463500473390000.00%0
2Kevin Lankinen20100.9203.6965004500000.00%0