Blue Jackets

GP: 7 | W: 4 | L: 2 | OTL: 1 | P: 9
GF: 22 | GA: 24 | PP%: 33.33% | PK%: 77.42%
DG: Mick St-Amour | Morale : 52 | Moyenne d'Équipe : 78
Prochain matchs #86 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)XXX99.005838868469879586838974738079906453860
2Sean MonahanX100.005736908280859180828483628169708553830
3Justin WilliamsX100.006240787475839573687574747288903653810
4Ryan JohansenX100.007740787587859374868467726773757653800
5Jonathan DrouinXX100.006238858173829488597871557667698653790
6Michael FrolikX100.006839827275747872557273687379756753770
7Thomas VanekXX100.005939827283807871537373567485765653770
8Jakub VranaXX100.005943857774769573527274637165678453760
9Jordan EberleX100.005742887671819174537072587377746653760
10Phillip DanaultX99.007645807377869472867967886871697653760
11Blake ColemanXXX100.009249687072829169726575847275715453750
12Brandon TanevXX100.009750796570779364526667886775683649730
13Brett PesceX97.006338857085868769307666935869676453780
14Dmitry OrlovX100.008243847779879574307756796475685853770
15Travis HamonicX98.006245806681878265307267955677705753770
16Brady SkjeiX100.008741776986879168307367795569667753760
17Dan GirardiX100.008837896580837564307261845285752553760
18Charlie McAvoy (A)X100.008248707677896774307971786463658453750
Rayé
1Derick BrassardXXX100.008041776978778368796269637079725447740
2Jordan GreenwayXX100.007341907098718169646871696763627243740
3Roman PolakX100.008949686188859059306753854682732943760
MOYENNE D'ÉQUIPE99.67734281737982887255746975677572625277
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 Andersen98.00919593929089919089919078845153870
2Anton Khudobin100.00908785728988908988908982872953840
Rayé
1Cam Talbot100.00848381868382848382848380863043810
MOYENNE D'ÉQUIPE99.3388888683878688878688878086375084
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/RW7268-880693114156.45%315722.452464230000130054.05%7442001.0212000000
2Sean MonahanBlue JacketsC7437-7604103691811.11%513519.31325723000000047.95%17120001.0422000000
3Jonathan DrouinBlue JacketsLW/RW7055-10067177100.00%011216.08044123000000020.00%570000.8900000000
4Jakub VranaBlue JacketsLW/RW713410084185175.56%18111.6800000000030050.00%220000.9800000000
5Michael FrolikBlue JacketsRW722414048122816.67%08912.8420221700000000.00%321000.8900000000
6Ryan JohansenBlue JacketsC7224020106117818.18%211716.722132170000120056.96%7961000.6800000010
7Thomas VanekBlue JacketsLW/RW71340004683312.50%210214.69033217000001075.00%411000.7800000100
8Jordan EberleBlue JacketsRW7213200251341615.38%1659.29000000000110050.00%644000.9200000101
9Phillip DanaultBlue JacketsC7213120137192510.53%29213.23000000000111047.54%6113000.6500000011
10Brett PesceBlue JacketsD7112-560141561216.67%1519928.51101124000025000.00%039000.2000000000
11Dan GirardiBlue JacketsD7022000885560.00%614120.17011016000020000.00%002000.2800000000
12Justin WilliamsBlue JacketsRW7202-76097152313.33%311816.9800000000060153.85%1322000.3402000000
13Blake ColemanBlue JacketsC/LW/RW71013607886812.50%07711.0700000000121000.00%811000.2600000000
14Brady SkjeiBlue JacketsD7011040762120.00%58712.440000000001000.00%011000.2300000001
15Brandon TanevBlue JacketsLW/RW2011300023100.00%02713.6900000000011000.00%000000.7300000000
16Charlie McAvoyBlue JacketsD7101140611102010.00%68812.650000000006100.00%024000.2300000010
17Derick BrassardBlue JacketsC/LW/RW5011-120265230.00%0489.6500000000050066.67%1800000.4100000000
18Dmitry OrlovBlue JacketsD70110006611320.00%414020.10000016000120000.00%013000.1400000000
19Travis HamonicBlue JacketsD7011-712071513530.00%919527.98011123000123000.00%036000.1000000000
Stats d'équipe Total ou en Moyenne126213455-24620123146243811298.64%64207916.501016262020300031973150.23%4444240000.5336000233
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
1Frederik AndersenBlue Jackets74210.9013.084290022222103210.500670001
Stats d'équipe Total ou en Moyenne74210.9013.084290022222103210.500670001


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$695,079$NoLien
Blake ColemanBlue JacketsC/LW/RW251991-11-28No200 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm1,800,000$1,800,000$1,657,143$NoLien
Brady SkjeiBlue JacketsD231994-03-26No214 Lbs6 ft3NoNoNo5Contrat d'EntréePro & Farm5,250,000$5,250,000$4,833,333$NoLien
Brandon TanevBlue JacketsLW/RW251991-12-31No180 Lbs6 ft0NoNoNo6Contrat d'EntréePro & Farm3,500,000$3,500,000$3,222,222$NoLien
Brett PesceBlue JacketsD221994-11-15No206 Lbs6 ft3NoNoNo5Contrat d'EntréePro & Farm4,025,000$4,025,000$3,705,556$NoLien
Cam TalbotBlue JacketsG301987-07-05No196 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm750,000$750,000$690,476$NoLien
Charlie McAvoyBlue JacketsD191997-12-21No208 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm4,900,000$4,900,000$4,511,111$NoLien
Claude GirouxBlue JacketsC/LW/RW291988-01-12No185 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm8,275,000$8,275,000$7,618,254$NoLien
Dan GirardiBlue JacketsD331984-04-29No212 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm800,000$800,000$736,508$NoLien
Derick BrassardBlue JacketsC/LW/RW301987-09-22No202 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$920,635$NoLien
Dmitry OrlovBlue JacketsD261991-07-23No212 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm5,100,000$5,100,000$4,695,238$NoLien
Frederik AndersenBlue JacketsG271989-10-02No230 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm5,000,000$5,000,000$4,603,175$NoLien
Jakub VranaBlue JacketsLW/RW211996-02-28No197 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm3,350,000$3,350,000$3,084,127$NoLien
Jonathan DrouinBlue JacketsLW/RW221995-03-28No193 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm5,500,000$5,500,000$5,063,492$NoLien
Jordan EberleBlue JacketsRW271990-05-15No187 Lbs5 ft11NoNoNo5Avec RestrictionPro & Farm5,500,000$5,500,000$5,063,492$NoLien
Jordan GreenwayBlue JacketsLW/RW201997-02-16No227 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$690,476$NoLien
Justin WilliamsBlue JacketsRW351981-10-04No184 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,120,000$3,120,000$2,872,381$NoLien
Michael FrolikBlue JacketsRW291988-02-17No190 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,666,000$2,666,000$2,454,413$NoLien
Phillip DanaultBlue JacketsC241993-02-24No198 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm3,083,333$3,083,333$2,838,624$NoLien
Roman PolakBlue JacketsD311986-04-28No240 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,750,000$1,750,000$1,611,111$NoLien
Ryan JohansenBlue JacketsC251992-07-31No218 Lbs6 ft3NoNoNo6Contrat d'EntréePro & Farm8,000,000$8,000,000$7,365,079$NoLien
Sean MonahanBlue JacketsC221994-10-12No200 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm6,375,000$6,375,000$5,869,048$NoLien
Thomas VanekBlue JacketsLW/RW331984-01-19No214 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$920,635$NoLien
Travis HamonicBlue JacketsD271990-08-16No205 Lbs6 ft2NoNoNo5Avec RestrictionPro & Farm3,857,143$3,857,143$3,551,021$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 MonahanJustin Williams40122
2Thomas VanekRyan JohansenJonathan Drouin30122
3Jakub VranaPhillip DanaultMichael Frolik20122
4Brandon TanevBlake ColemanJordan Eberle10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceTravis Hamonic40122
2Dmitry OrlovDan Girardi30122
3Brady SkjeiCharlie McAvoy20122
4Brett PesceTravis Hamonic10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan DrouinClaude GirouxSean Monahan60122
2Thomas VanekRyan JohansenMichael Frolik40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceTravis Hamonic60122
2Dmitry OrlovDan Girardi40122
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
2Brett Pesce40122Dmitry OrlovDan Girardi40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sean MonahanClaude Giroux60122
2Ryan JohansenJustin Williams40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceTravis Hamonic60122
2Dmitry OrlovDan Girardi40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan DrouinClaude GirouxJustin WilliamsBrett PesceTravis Hamonic
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan DrouinClaude GirouxJustin WilliamsBrett PesceTravis 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 : Frederik Andersen, #2 : Anton Khudobin


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
1Capitals11000000312110000003120000000000021.000347001110305151002071015600.00%5180.00%09918055.00%8215851.90%4210042.00%22121810189
2Devils10000010541000000000001000001054121.000561100121233715113401314205480.00%7185.71%09918055.00%8215851.90%4210042.00%21112410198
3Flyers11000000321000000000001100000032121.000369000120366111903586184125.00%30100.00%09918055.00%8215851.90%4210042.00%2314187178
4Islanders30200001613-72010000147-31010000026-410.1676101610141111733562749127225310330.00%11463.64%09918055.00%8215851.90%4210042.00%653763285627
5Penguins11000000541000000000001100000054121.0005813002030271269037910175240.00%5180.00%09918055.00%8215851.90%4210042.00%2010219189
Total732000112224-23110000178-1421000101516-190.643223456105883243631037672236462123301033.33%31777.42%09918055.00%8215851.90%4210042.00%153861466612964
_Since Last GM Reset732000112224-23110000178-1421000101516-190.643223456105883243631037672236462123301033.33%31777.42%09918055.00%8215851.90%4210042.00%153861466612964
_Vs Conference732000112224-23110000178-1421000101516-190.643223456105883243631037672236462123301033.33%31777.42%09918055.00%8215851.90%4210042.00%153861466612964
_Vs Division732000112224-23110000178-1421000101516-190.643223456105883243631037672236462123301033.33%31777.42%09918055.00%8215851.90%4210042.00%153861466612964

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
79SOW1223456243223646212310
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73200112224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311000178
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
42100101516
Derniers 10 Matchs
WLOTWOTL SOWSOL
320011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
301033.33%31777.42%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
631037675883
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
9918055.00%8215851.90%4210042.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
153861466612964


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 - 2019-10-2086Flyers-Blue Jackets-
19 - 2019-10-2297Blue Jackets-Maple Leafs-
23 - 2019-10-26114Blue Jackets-Islanders-
24 - 2019-10-27120Devils-Blue Jackets-
26 - 2019-10-29130Blue Jackets-Penguins-
27 - 2019-10-30135Blue Jackets-Capitals-
28 - 2019-10-31144Penguins-Blue Jackets-
31 - 2019-11-03167Islanders-Blue Jackets-
34 - 2019-11-06183Capitals-Blue Jackets-
37 - 2019-11-09197Capitals-Blue Jackets-
40 - 2019-11-12210Blue Jackets-Panthers-
42 - 2019-11-14217Blue Jackets-Canadiens-
44 - 2019-11-16227Blue Jackets-Senateurs-
46 - 2019-11-18235Blue Jackets-Avalanche-
47 - 2019-11-19240Penguins-Blue Jackets-
50 - 2019-11-22256Blue Jackets-Jets-
52 - 2019-11-24263Jets-Blue Jackets-
54 - 2019-11-26274Blue Jackets-Lightning-
56 - 2019-11-28286Lightning-Blue Jackets-
58 - 2019-11-30298Blue Jackets-Blackhawks-
60 - 2019-12-02310Maple Leafs-Blue Jackets-
62 - 2019-12-04316Blue Jackets-Stars-
65 - 2019-12-07334Golden Knights-Blue Jackets-
67 - 2019-12-09347Blue Jackets-Blues-
70 - 2019-12-12359Penguins-Blue Jackets-
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
Assistance17,19513,7215,76311,1742,895
Attendance PCT95.53%91.47%96.05%93.12%96.50%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 16916 - 93.98% 1,633,276$4,899,828$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
7,133,055$ 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$ 6,833,850$ 0$ 24 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
62,064,488$ 174 475,537$ 82,743,438$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
84,763,390$ 86,106,476$ 29,956,892$ 7,257,990$



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:77
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
Dmitry OrlovAGE:26PO:58OV:77
Travis HamonicAGE:27PO:57OV:77
Brady SkjeiAGE:23PO:77OV:76
Roman PolakAGE:31PO:29OV:76
Dan GirardiAGE:33PO:25OV: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:81

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



[2019-09-26 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



[2019-10-14 21:49:20] Denis Gurianov from Monsters has scored a Hat Trick!
[2019-10-13 20:51:48] Joel Eriksson Ek from Monsters is back from Sports Hernia Injury.
[2019-10-12 20:21:22] Successfully loaded Blue Jackets lines done with STHS Client - 3.1.5.5
[2019-10-06 11:05:38] Scott Laughton from Monsters has scored a Hat Trick!
[2019-10-06 11:05:38] Game 15 - Joel Eriksson Ek from Monsters is injured (Sports Hernia) and is out for 2 weeks.
[2019-10-04 21:22:02] Scott Laughton from Monsters has scored a Hat Trick!
[2019-10-04 21:22:02] A.J. Greer from Monsters has scored a Hat Trick!
[2019-10-04 21:08:01] Successfully loaded Blue Jackets lines done with STHS Client - 3.1.5.5
[2019-10-04 20:56:16] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:16] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Last 7 Days Farm Star : 1 - Riley Sheahan of Monsters (4-3-7) / 2 - Sean Kuraly of Marlies (3-5-8) / 3 - Zack Kassian of Marlies (4-1-5)
[2019-10-04 20:56:14] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:12] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:11] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Monsters lines for next game are empty. Current rosters/lines are not erased.



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
3732000112224-23110000178-1421000101516-19223456105883243631037672236462123301033.33%31777.42%09918055.00%8215851.90%4210042.00%153861466612964
Total Saison Régulière732000112224-23110000178-1421000101516-19223456105883243631037672236462123301033.33%31777.42%09918055.00%8215851.90%4210042.00%153861466612964
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