Blue Jackets

GP: 32 | W: 20 | L: 7 | OTL: 5 | P: 45
GF: 104 | GA: 93 | PP%: 26.89% | PK%: 80.00%
DG: Mick St-Amour | Morale : 60 | Moyenne d'Équipe : 78
Prochain matchs #372 vs Flyers
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Claude Giroux (C)XXX99.005838868469879586838974738079906468860
2Sean MonahanX100.005736908280859180828483628169708568830
3Justin WilliamsX100.006240787475839573687574747288903668810
4Ryan JohansenX100.007740787587859374868467726773757668800
5Jonathan DrouinXX100.006238858173829488597871557667698669790
6Michael FrolikX100.006839827275747872557273687379756768780
7Thomas VanekXX100.005939827283807871537373567485765668770
8Jakub VranaXX100.005943857774769573527274637165678468760
9Jordan EberleX100.005742887671819174537072587377746668760
10Phillip DanaultX100.007645807377869472867967886871697668760
11Blake ColemanXXX100.009249687072829169726575847275715468750
12Brandon TanevXX100.009750796570779364526667886775683656730
13Brett PesceX100.006338857085868769307666935869676459780
14Travis HamonicX99.006245806681878265307267955677705768780
15Dan GirardiX100.008837896580837564307261845285752568770
16Dmitry OrlovX100.008243847779879574307756796475685868770
17Brady SkjeiX100.008741776986879168307367795569667768760
18Charlie McAvoy (A)X100.008248707677896774307971786463658468750
Rayé
1Derick BrassardXXX100.008041776978778368796269637079725422740
2Jordan GreenwayXX100.007341907098718169646871696763627220740
3Roman PolakX100.008949686188859059306753854682732937760
MOYENNE D'ÉQUIPE99.90734281737982887255746975677572626177
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Frederik Andersen100.00919593929089919089919078845168870
Rayé
1Anton Khudobin98.00908785728988908988908982872962840
2Cam Talbot100.00848381868382848382848380863024800
MOYENNE D'ÉQUIPE99.3388888683878688878688878086375184
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock87808280999441CAN6733,770,000$


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
1Claude GirouxBlue JacketsC/LW/RW32132538-4180353913347799.77%1068821.526131920950001292149.10%332319001.1027000500
2Sean MonahanBlue JacketsC32141529-6802755127317311.02%1763019.7195142292000082050.51%788175000.9227000022
3Jonathan DrouinBlue JacketsLW/RW32720275255452110932706.42%1259618.63413171693000002140.48%423810000.9100001121
4Ryan JohansenBlue JacketsC3281220118051408431549.52%1153816.822464650006542055.77%4072011000.7400000121
5Justin WilliamsBlue JacketsRW329817-4240433286274410.47%1652716.505161053000081151.22%411110000.6405000200
6Thomas VanekBlue JacketsLW/RW3261117212024286318289.52%1049015.34066772000001028.57%21164000.6900000101
7Jordan EberleBlue JacketsRW32871590081252153915.38%42808.76000000001372220.00%25106001.0700000301
8Travis HamonicBlue JacketsD3251015-446039655624198.93%5887527.371236840002116100.00%0934100.3400000220
9Michael FrolikBlue JacketsRW327714360242265164010.77%737111.60213228000001144.44%9123000.7500000012
10Phillip DanaultBlue JacketsC32671368039456222329.68%1144814.020000101121101053.76%3721113000.5800000032
11Dmitry OrlovBlue JacketsD321101110803645331393.03%3670221.95022590000285000.00%0420000.3100000011
12Jakub VranaBlue JacketsLW/RW32381144021207217534.17%836411.4000001000061062.50%8193000.6000000100
13Dan GirardiBlue JacketsD3201010102031252612140.00%2958018.13011035000185000.00%0117000.3400000000
14Blake ColemanBlue JacketsC/LW/RW3244811200362435142011.43%73109.72000000001790039.51%8172100.5100000011
15Charlie McAvoyBlue JacketsD324377400383537111110.81%3551316.04112349000138110.00%01719000.2700000011
16Brady SkjeiBlue JacketsD321560160342521574.76%3042513.31000023000010000.00%0716000.2800000001
17Brett PesceBlue JacketsD23336-328030463111109.68%5862227.06202254000085010.00%0822000.1900000000
18Brandon TanevBlue JacketsLW/RW24325100020221911215.79%828011.670000010121041050.00%1037000.3600000011
19Derick BrassardBlue JacketsC/LW/RW5011-120265230.00%0489.6500000000050066.67%1800000.4100000000
20Roman PolakBlue JacketsD120111801374140.00%1316313.6300000000030000.00%011000.1200000000
Stats d'équipe Total ou en Moyenne57610216927157293559661411203506219.11%380945916.42324981978421121989718850.84%2154242212200.57419001161615
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
1Anton KhudobinBlue Jackets2013340.9252.4512244150668286100.538132010211
2Frederik AndersenBlue Jackets127410.9073.057290037396182310.50061220003
Stats d'équipe Total ou en Moyenne3220750.9182.67195341871064468410.526193230214


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Anton KhudobinBlue JacketsG311986-05-07No200 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm755,000$755,000$471,376$NoLien
Blake ColemanBlue JacketsC/LW/RW251991-11-28No200 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm1,800,000$1,800,000$1,123,810$NoLien
Brady SkjeiBlue JacketsD231994-03-26No214 Lbs6 ft3NoNoNo5Contrat d'EntréePro & Farm5,250,000$5,250,000$3,277,778$NoLien
Brandon TanevBlue JacketsLW/RW251991-12-31No180 Lbs6 ft0NoNoNo6Contrat d'EntréePro & Farm3,500,000$3,500,000$2,185,185$NoLien
Brett PesceBlue JacketsD221994-11-15No206 Lbs6 ft3NoNoNo5Contrat d'EntréePro & Farm4,025,000$4,025,000$2,512,963$NoLien
Cam TalbotBlue JacketsG301987-07-05No196 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm750,000$750,000$468,254$NoLien
Charlie McAvoyBlue JacketsD191997-12-21No208 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm4,900,000$4,900,000$3,059,259$NoLien
Claude GirouxBlue JacketsC/LW/RW291988-01-12No185 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm8,275,000$8,275,000$5,166,402$NoLien
Dan GirardiBlue JacketsD331984-04-29No212 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm800,000$800,000$499,471$NoLien
Derick BrassardBlue JacketsC/LW/RW301987-09-22No202 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$624,339$NoLien
Dmitry OrlovBlue JacketsD261991-07-23No212 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm5,100,000$5,100,000$3,184,127$NoLien
Frederik AndersenBlue JacketsG271989-10-02No230 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm5,000,000$5,000,000$3,121,693$NoLien
Jakub VranaBlue JacketsLW/RW211996-02-28No197 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm3,350,000$3,350,000$2,091,534$NoLien
Jonathan DrouinBlue JacketsLW/RW221995-03-28No193 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm5,500,000$5,500,000$3,433,862$NoLien
Jordan EberleBlue JacketsRW271990-05-15No187 Lbs5 ft11NoNoNo5Avec RestrictionPro & Farm5,500,000$5,500,000$3,433,862$NoLien
Jordan GreenwayBlue JacketsLW/RW201997-02-16No227 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$468,254$NoLien
Justin WilliamsBlue JacketsRW351981-10-04No184 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,120,000$3,120,000$1,947,937$NoLien
Michael FrolikBlue JacketsRW291988-02-17No190 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,666,000$2,666,000$1,664,487$NoLien
Phillip DanaultBlue JacketsC241993-02-24No198 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm3,083,333$3,083,333$1,925,044$NoLien
Roman PolakBlue JacketsD311986-04-28No240 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,750,000$1,750,000$1,092,593$NoLien
Ryan JohansenBlue JacketsC251992-07-31No218 Lbs6 ft3NoNoNo6Contrat d'EntréePro & Farm8,000,000$8,000,000$4,994,709$NoLien
Sean MonahanBlue JacketsC221994-10-12No200 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm6,375,000$6,375,000$3,980,159$NoLien
Thomas VanekBlue JacketsLW/RW331984-01-19No214 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$624,339$NoLien
Travis HamonicBlue JacketsD271990-08-16No205 Lbs6 ft2NoNoNo5Avec RestrictionPro & Farm3,857,143$3,857,143$2,408,163$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2426.50204 Lbs6 ft12.793,587,770$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
86,106,476$73,515,476$60,282,143$47,107,143$30,132,143$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Claude GirouxSean MonahanJonathan Drouin40113
2Thomas VanekRyan JohansenJustin Williams30113
3Jakub VranaPhillip DanaultMichael Frolik20122
4Brandon TanevBlake ColemanJordan Eberle10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceTravis Hamonic40122
2Charlie McAvoyDmitry Orlov30122
3Brady SkjeiDan Girardi20122
4Charlie McAvoyTravis Hamonic10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan DrouinClaude GirouxSean Monahan60122
2Thomas VanekRyan JohansenJustin Williams40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyDmitry Orlov60122
2Dmitry OrlovTravis Hamonic40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phillip DanaultBrandon Tanev60122
2Blake ColemanRyan Johansen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceTravis Hamonic60122
2Dmitry OrlovDan Girardi40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Phillip Danault60122Brett PesceTravis Hamonic60122
2Brandon Tanev40122Dmitry OrlovDan Girardi40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sean MonahanClaude Giroux60122
2Ryan JohansenJustin Williams40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brady SkjeiTravis Hamonic60122
2Dmitry OrlovCharlie McAvoy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan DrouinClaude GirouxJustin WilliamsBrady SkjeiTravis Hamonic
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan DrouinClaude GirouxJustin WilliamsBrady SkjeiTravis Hamonic
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Phillip Danault, Jakub Vrana, Jordan EberlePhillip Danault, Jakub VranaJordan Eberle
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brady Skjei, Charlie McAvoy, Dmitry OrlovBrady SkjeiCharlie McAvoy, Dmitry Orlov
Tirs de Pénalité
Claude Giroux, Sean Monahan, Justin Williams, Ryan Johansen, Jonathan Drouin
Gardien
#1 : , #2 : Frederik Andersen


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche1010000013-2000000000001010000013-200.000123000010345209032141222100.00%6183.33%040480550.19%46186653.23%23046649.36%19102210188
2Blackhawks1010000035-2000000000001010000035-200.0003470000302941114040121813000.00%9455.56%040480550.19%46186653.23%23046649.36%1810239177
3Blues1000000134-1000000000001000000134-110.500369000120278118340818275120.00%8275.00%040480550.19%46186653.23%23046649.36%22112310188
4Canadiens11000000321000000000001100000032121.000358000300361416603013823500.00%4175.00%040480550.19%46186653.23%23046649.36%2212209168
5Capitals440000001468330000009361100000053281.000142337011670120395031011937327816212.50%16381.25%040480550.19%46186653.23%23046649.36%854883377134
6Devils21000010972110000004311000001054141.000912210016127920421737116243411763.64%12466.67%040480550.19%46186653.23%23046649.36%462842183517
7Flyers211000004401010000012-11100000032120.5004812000220701627270721912408112.50%60100.00%040480550.19%46186653.23%23046649.36%452639163417
8Golden Knights11000000211110000002110000000000021.000235000110277128036191615100.00%8187.50%040480550.19%46186653.23%23046649.36%179259167
9Islanders512000021318-530100002610-42110000078-140.400132235102831187567654616650368812325.00%18666.67%040480550.19%46186653.23%23046649.36%10661111479244
10Jets220000001147110000007341100000041341.0001117280023608315284005022164410330.00%80100.00%040480550.19%46186653.23%23046649.36%432542183416
11Lightning2110000059-41010000016-51100000043120.5005813004100702622220733227286233.33%11281.82%040480550.19%46186653.23%23046649.36%442643163215
12Maple Leafs2110000058-3110000004221010000016-520.500581300131063182718071241653500.00%8187.50%140480550.19%46186653.23%23046649.36%412446173215
13Panthers1000000123-1000000000001000000123-110.500246000110388228234238199111.11%4175.00%040480550.19%46186653.23%23046649.36%25142091910
14Penguins55000000241410330000001376220000001174101.00024396300771001876067600169645079251144.00%25388.00%040480550.19%46186653.23%23046649.36%11164102478543
15Senateurs1000000123-1000000000001000000123-110.5002460000203714121133412218200.00%10100.00%040480550.19%46186653.23%23046649.36%2414228179
16Stars10000010321000000000001000001032121.000347001011331698328152153133.33%10100.00%040480550.19%46186653.23%23046649.36%23132291910
Total32187000251049311151030000247371017840002357561450.70310416927311194241411203264523412010653802975961193226.89%1452980.00%140480550.19%46186653.23%23046649.36%698403693298563276
_Since Last GM Reset32187000251049311151030000247371017840002357561450.70310416927311194241411203264523412010653802975961193226.89%1452980.00%140480550.19%46186653.23%23046649.36%698403693298563276
_Vs Conference2515500014817471383000023833512720001243412360.7208113321411163727388727136125414839290215460992727.27%1052180.00%140480550.19%46186653.23%23046649.36%553322532230438217
_Vs Division1812300012644915117200002332587510001031247280.778641041681111292336431912621899597186154319722433.33%771679.22%040480550.19%46186653.23%23046649.36%395229379168319158

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3245W11041692731120106538029759611
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
32187002510493
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1510300024737
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
178400235756
Derniers 10 Matchs
WLOTWOTL SOWSOL
620011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1193226.89%1452980.00%1
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
326452341201942414
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
40480550.19%46186653.23%23046649.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
698403693298563276


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-10-041Blue Jackets2Islanders6LSommaire du Match
2 - 2019-10-0511Blue Jackets5Penguins4WSommaire du Match
5 - 2019-10-0821Islanders3Blue Jackets2LXXSommaire du Match
7 - 2019-10-1035Blue Jackets3Flyers2WSommaire du Match
9 - 2019-10-1244Islanders4Blue Jackets2LSommaire du Match
12 - 2019-10-1560Capitals1Blue Jackets3WSommaire du Match
15 - 2019-10-1872Blue Jackets5Devils4WXXSommaire du Match
17 - 2019-10-2086Flyers2Blue Jackets1LSommaire du Match
19 - 2019-10-2297Blue Jackets1Maple Leafs6LSommaire du Match
23 - 2019-10-26114Blue Jackets5Islanders2WSommaire du Match
24 - 2019-10-27120Devils3Blue Jackets4WSommaire du Match
26 - 2019-10-29130Blue Jackets6Penguins3WSommaire du Match
27 - 2019-10-30135Blue Jackets5Capitals3WSommaire du Match
28 - 2019-10-31144Penguins3Blue Jackets7WSommaire du Match
31 - 2019-11-03167Islanders3Blue Jackets2LXXSommaire du Match
34 - 2019-11-06183Capitals0Blue Jackets3WSommaire du Match
37 - 2019-11-09197Capitals2Blue Jackets3WSommaire du Match
40 - 2019-11-12210Blue Jackets2Panthers3LXXSommaire du Match
42 - 2019-11-14217Blue Jackets3Canadiens2WSommaire du Match
44 - 2019-11-16227Blue Jackets2Senateurs3LXXSommaire du Match
46 - 2019-11-18235Blue Jackets1Avalanche3LSommaire du Match
47 - 2019-11-19240Penguins2Blue Jackets3WSommaire du Match
50 - 2019-11-22256Blue Jackets4Jets1WSommaire du Match
52 - 2019-11-24263Jets3Blue Jackets7WSommaire du Match
54 - 2019-11-26274Blue Jackets4Lightning3WSommaire du Match
56 - 2019-11-28286Lightning6Blue Jackets1LSommaire du Match
58 - 2019-11-30298Blue Jackets3Blackhawks5LSommaire du Match
60 - 2019-12-02310Maple Leafs2Blue Jackets4WSommaire du Match
62 - 2019-12-04316Blue Jackets3Stars2WXXSommaire du Match
65 - 2019-12-07334Golden Knights1Blue Jackets2WSommaire du Match
67 - 2019-12-09347Blue Jackets3Blues4LXXSommaire du Match
70 - 2019-12-12359Penguins2Blue Jackets3WSommaire du Match
72 - 2019-12-14372Blue Jackets-Flyers-
74 - 2019-12-16381Avalanche-Blue Jackets-
77 - 2019-12-19397Blue Jackets-Islanders-
78 - 2019-12-20404Oilers-Blue Jackets-
81 - 2019-12-23418Blue Jackets-Kings-
83 - 2019-12-25430Blackhawks-Blue Jackets-
85 - 2019-12-27442Blue Jackets-Flames-
87 - 2019-12-29449Blue Jackets-Islanders-
88 - 2019-12-30456Stars-Blue Jackets-
91 - 2020-01-02475Blue Jackets-Maple Leafs-
92 - 2020-01-03479Lightning-Blue Jackets-
95 - 2020-01-06499Sharks-Blue Jackets-
97 - 2020-01-08510Blue Jackets-Bruins-
99 - 2020-01-10520Blue Jackets-Oilers-
101 - 2020-01-12528Flames-Blue Jackets-
102 - 2020-01-13537Blue Jackets-Lightning-
104 - 2020-01-15552Bruins-Blue Jackets-
107 - 2020-01-18565Blue Jackets-Senateurs-
109 - 2020-01-20574Blue Jackets-Ducks-
110 - 2020-01-21577Predateurs-Blue Jackets-
114 - 2020-01-25599Blue Jackets-Flyers-
115 - 2020-01-26603Blues-Blue Jackets-
118 - 2020-01-29622Blue Jackets-Capitals-
119 - 2020-01-30625Ducks-Blue Jackets-
123 - 2020-02-03648Panthers-Blue Jackets-
125 - 2020-02-05663Blue Jackets-Sharks-
127 - 2020-02-07672Kings-Blue Jackets-
129 - 2020-02-09684Blue Jackets-Penguins-
131 - 2020-02-11694Blue Jackets-Capitals-
132 - 2020-02-12696Canadiens-Blue Jackets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
135 - 2020-02-15712Blue Jackets-Devils-
136 - 2020-02-16720Panthers-Blue Jackets-
139 - 2020-02-19730Blue Jackets-Panthers-
141 - 2020-02-21744Islanders-Blue Jackets-
143 - 2020-02-23755Blue Jackets-Devils-
146 - 2020-02-26768Ducks-Blue Jackets-
148 - 2020-02-28781Blue Jackets-Bruins-
150 - 2020-03-01792Canadiens-Blue Jackets-
152 - 2020-03-03801Blue Jackets-Penguins-
154 - 2020-03-05815Blue Jackets-Predateurs-
155 - 2020-03-06816Maple Leafs-Blue Jackets-
160 - 2020-03-11840Bruins-Blue Jackets-
164 - 2020-03-15864Devils-Blue Jackets-
168 - 2020-03-19887Devils-Blue Jackets-
169 - 2020-03-20890Blue Jackets-Golden Knights-
173 - 2020-03-24911Senateurs-Blue Jackets-
177 - 2020-03-28936Flyers-Blue Jackets-
179 - 2020-03-30942Blue Jackets-Canadiens-
184 - 2020-04-04959Flyers-Blue Jackets-
188 - 2020-04-08984Senateurs-Blue Jackets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance87,76470,94629,27657,84314,213
Attendance PCT97.52%94.59%97.59%96.41%94.75%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
26 17336 - 96.31% 1,663,415$24,951,232$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
33,708,550$ 86,106,476$ 86,106,477$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
86,106,476$ 32,292,313$ 0$ 24 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
43,248,802$ 118 475,537$ 56,113,366$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
57,443,566$ 86,106,476$ 22,802,655$ 8,607,891$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Claude GirouxAGE:29PO:64OV:86
Jonathan DrouinAGE:22PO:86OV:79
Thomas VanekAGE:33PO:56OV:77
Jakub VranaAGE:21PO:84OV:76
Blake ColemanAGE:25PO:54OV:75
Jordan GreenwayAGE:20PO:72OV:74
Derick BrassardAGE:30PO:54OV:74
Brandon TanevAGE:25PO:36OV:73
A.J. GreerAGE:20PO:75OV:63
Claude GirouxAGE:29PO:64OV:86
Sean MonahanAGE:22PO:85OV:83
Ryan JohansenAGE:25PO:76OV:80
Phillip DanaultAGE:24PO:76OV:76
Blake ColemanAGE:25PO:54OV:75
Derick BrassardAGE:30PO:54OV:74
Scott LaughtonAGE:23PO:79OV:71
Riley SheahanAGE:25PO:68OV:70
Joel Eriksson EkAGE:20PO:82OV:68
Joseph BlandisiAGE:23PO:54OV:65
Claude GirouxAGE:29PO:64OV:86
Justin WilliamsAGE:35PO:36OV:81
Jonathan DrouinAGE:22PO:86OV:79
Michael FrolikAGE:29PO:67OV:78
Thomas VanekAGE:33PO:56OV:77
Jakub VranaAGE:21PO:84OV:76
Jordan EberleAGE:27PO:66OV:76
Blake ColemanAGE:25PO:54OV:75
Jordan GreenwayAGE:20PO:72OV:74
Derick BrassardAGE:30PO:54OV:74
Brandon TanevAGE:25PO:36OV:73
Denis GurianovAGE:20PO:85OV:69
Sven AndrighettoAGE:24PO:58OV:65
Julien GauthierAGE:19PO:73OV:63
Nicholas BaptisteAGE:22PO:65OV:61

Défense #1Défense #2Gardien
Brett PesceAGE:22PO:64OV:78
Travis HamonicAGE:27PO:57OV:78
Dmitry OrlovAGE:26PO:58OV:77
Dan GirardiAGE:33PO:25OV:77
Brady SkjeiAGE:23PO:77OV:76
Roman PolakAGE:31PO:29OV:76
Charlie McAvoyAGE:19PO:84OV:75
Ben HarpurAGE:22PO:59OV:69
Karl AlznerAGE:29PO:68OV:68
Timothy LiljegrenAGE:18PO:83OV:64
Brendan GuhleAGE:20PO:72OV:63
Jakub ZborilAGE:20PO:85OV:62
Frederik AndersenAGE:27PO:51OV:87
Anton KhudobinAGE:31PO:29OV:84
Cam TalbotAGE:30PO:30OV:80

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Daniel BrickleyBlue Jackets201898
Jakub JerabekBlue Jackets
Kari LehtonenBlue Jackets
Kirill MarchemkoBlue Jackets201833

Choix au Repêchage

Année R1R2R3R4R5
4CLB CLB CLB
5CLB CLB CLB CLB CLB
6CLB CLB LA. CLB
7CLB CLB CLB CLB CLB
8CLB CLB CLB CLB CLB



[2019-11-24 19:56:24] - New Record for Team's Most Shots (48) in 1 Game for Blue Jackets!
[2019-11-24 19:56:24] - New Record for Team's Most Assists (12) in 1 Game for Blue Jackets!
[2019-11-12 21:09:15] - New Record for Team's Most Shots Blocked (23) in 1 Game for Blue Jackets!
[2019-09-26 21:06:25] - TRADE : From Stars to Blue Jackets : Jakub Zboril (62).
[2019-09-26 21:06:25] - TRADE : From Blue Jackets to Stars : Miles Wood (72).
[2019-09-25 21:59:38] - Cam Talbot was added to Blue Jackets.
[2019-09-25 09:54:01] - Monsters hired Bob Murray for 800 000 $ for 3 year(s).
[2019-09-24 22:05:09] - Blue Jackets hired Ken Hitchcock for 3 770 000 $ for 3 year(s).
[2019-09-24 20:57:45] - Derick Brassard was added to Blue Jackets.
[2019-09-24 20:57:22] - Roman Polak was added to Blue Jackets.
[2019-09-24 20:57:14] - Anton Khudobin was added to Blue Jackets.
[2019-09-22 21:27:42] - Justin Williams was added to Blue Jackets.
[2019-09-22 21:27:34] - Thomas Vanek was added to Blue Jackets.
[2019-09-20 21:39:53] - Dan Girardi was added to Blue Jackets.
[2019-09-20 21:39:42] - Michael Frolik was added to Blue Jackets.
[2019-09-16 21:53:25] - Brooks Orpik was released.
[2019-09-06 20:51:15] - Jakub Jerabek has been added to Blue Jackets.
[2019-09-06 20:50:46] - Jakub Jerabek retired from Blue Jackets
[2019-08-28 14:39:48] - TRADE : From Oilers to Blue Jackets : Karl Alzner (69).
[2019-08-28 14:39:48] - TRADE : From Blue Jackets to Oilers : Nikita Zaitsev (74).
[2019-07-04 23:32:13] - TRADE : From Blue Jackets to Devils : Y:3-RND:3-CLB, Y:3-RND:4-CLB, Y:3-RND:5-CLB.
[2019-07-04 23:32:13] - TRADE : From Devils to Blue Jackets : Joel Eriksson Ek (68), Daniel Brickley (P).
[2019-06-03 19:56:13] - TRADE : From Kings to Blue Jackets : Travis Hamonic (78), Y:6-RND:5-LA..
[2019-06-03 19:56:13] - TRADE : From Blue Jackets to Kings : Andre Burakovsky (71), Mike Matheson (74), Y:6-RND:2-CLB.
[2019-06-01 22:02:56] - TRADE : From Oilers to Blue Jackets : Jonathan Drouin (78).
[2019-06-01 22:02:56] - TRADE : From Blue Jackets to Oilers : Liam Foudy (P), Y:4-RND:1-CLB, Y:6-RND:1-CLB.
[2019-05-30 20:10:41] - TRADE : From Panthers to Blue Jackets : Blake Coleman (75), Ryan Johansen (80).
[2019-05-30 20:10:41] - TRADE : From Blue Jackets to Panthers : Patrik Nemeth (75), Kevin Bahl (P), Y:3-RND:1-CLB, Y:3-RND:2-CLB, Y:4-RND:2-CLB.
[2019-05-30 20:09:28] - TRADE : From Oilers to Blue Jackets : Miles Wood (72).
[2019-05-30 20:09:28] - TRADE : From Blue Jackets to Oilers : Alexander Wennberg (70), Vladimir Sobotka (69).
[2019-05-29 23:01:06] - Jordan Greenway has been deleted from Blue Jackets.
[2019-05-29 23:00:57] - Jordan Greenway was added to Blue Jackets.
[2019-05-27 20:01:20] - TRADE : From Lightning to Blue Jackets : Phillip Danault (72).
[2019-05-27 20:01:20] - TRADE : From Blue Jackets to Lightning : Robin Lehner (81).
[2019-05-26 21:53:43] - Lindy Ruff contract with Blue Jackets has ended.
[2019-05-26 21:53:43] - Bill Peeters contract with Monsters has ended.
[2019-05-19 23:04:06] - Blue Jackets was eliminated at round 3 of year 2.
[2019-04-03 21:21:12] - Monsters didn't make playoff for year 2.
[2019-02-15 21:18:10] - Charlie McAvoy has been selected as assistant for Blue Jackets.
[2019-02-15 21:18:10] - Unknown Player is no longer as assistant for Blue Jackets.
[2019-02-15 21:18:10] - Claude Giroux has been selected as captain for Blue Jackets.
[2019-02-15 21:18:10] - Unknown Player is no longer captain for Blue Jackets.
[2019-02-15 20:39:04] - General Manager Change : Blue Jackets hired general manager Mick St-Amour
[2019-02-15 20:39:04] - General Manager Change : Blue Jackets fired general manager Phil Simard



[2019-12-12 18:18:14] Auto Lines Function has been run for Blue Jackets.
[2019-12-12 18:18:14] Auto Roster Partial Function has been run for Blue Jackets.
[2019-12-10 12:35:31] Anton Khudobin from Blue Jackets is back from Exhaustion.
[2019-12-09 21:39:25] A.J. Greer from Monsters is back from Exhaustion.
[2019-12-09 21:39:24] Anton Khudobin from Blue Jackets injured (Exhaustion)
[2019-12-09 00:19:45] A.J. Greer from Monsters has scored a Hat Trick!
[2019-12-09 00:19:45] A.J. Greer from Monsters is injured from Exhaustion.
[2019-12-04 13:03:40] Ben Harpur from Monsters is back from Exhaustion.
[2019-12-03 20:35:27] Ben Harpur from Monsters is injured from Exhaustion.
[2019-12-03 20:35:27] Denis Gurianov from Monsters has scored a Hat Trick!
[2019-12-03 20:35:27] A.J. Greer from Monsters has scored a Hat Trick!
[2019-11-29 14:07:57] Sven Andrighetto from Monsters has scored a Hat Trick!



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
3321870002510493111510300002473710178400023575614510416927311194241411203264523412010653802975961193226.89%1452980.00%140480550.19%46186653.23%23046649.36%698403693298563276
Total Saison Régulière321870002510493111510300002473710178400023575614510416927311194241411203264523412010653802975961193226.89%1452980.00%140480550.19%46186653.23%23046649.36%698403693298563276
Séries
21899000004249-79540000018180945000002431-71842671091071715363020620020519594188146321721318.06%741283.78%225250150.30%26045956.64%12825949.42%394218400173334167
Total Séries1899000004249-79540000018180945000002431-71842671091071715363020620020519594188146321721318.06%741283.78%225250150.30%26045956.64%12825949.42%394218400173334167