Connexion

Blues
GP: 51 | W: 21 | L: 27 | OTL: 3 | P: 45
GF: 127 | GA: 159 | PP%: 18.02% | PK%: 79.89%
DG: Richard Chaput | Morale : 34 | Moyenne d’équipe : 70
#787 vs Wild
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Centre de jeu
Blues
21-27-3, 45pts
3
FINAL
2 Avalanches
25-22-2, 52pts
Team Stats
L1SéquenceL1
13-11-0Fiche domicile11-12-1
8-16-3Fiche visiteur14-10-1
6-4-0Derniers 10 matchs6-4-0
2.49Buts par match 3.10
3.12Buts contre par match 3.16
18.02%Pourcentage en avantage numérique20.57%
79.89%Pourcentage en désavantage numérique80.49%
Flames
23-19-7, 53pts
3
FINAL
2 Blues
21-27-3, 45pts
Team Stats
W1SéquenceL1
12-10-2Fiche domicile13-11-0
11-9-5Fiche visiteur8-16-3
5-5-0Derniers 10 matchs6-4-0
2.80Buts par match 2.49
2.73Buts contre par match 3.12
16.09%Pourcentage en avantage numérique18.02%
80.60%Pourcentage en désavantage numérique79.89%
Blues
21-27-3, 45pts
2023-12-11
Wild
27-15-7, 61pts
Statistiques d’équipe
L1SéquenceL1
13-11-0Fiche domicile13-7-4
8-16-3Fiche visiteur14-8-3
6-4-010 derniers matchs5-2-3
2.49Buts par match 3.35
3.12Buts contre par match 3.35
18.02%Pourcentage en avantage numérique16.49%
79.89%Pourcentage en désavantage numérique80.70%
Penguins
31-15-3, 65pts
2023-12-13
Blues
21-27-3, 45pts
Statistiques d’équipe
W2SéquenceL1
14-9-1Fiche domicile13-11-0
17-6-2Fiche visiteur8-16-3
4-4-210 derniers matchs6-4-0
3.37Buts par match 2.49
2.71Buts contre par match 2.49
21.82%Pourcentage en avantage numérique18.02%
80.66%Pourcentage en désavantage numérique79.89%
Blues
21-27-3, 45pts
2023-12-15
Ducks
23-22-2, 48pts
Statistiques d’équipe
L1SéquenceL1
13-11-0Fiche domicile12-13-0
8-16-3Fiche visiteur11-9-2
6-4-010 derniers matchs4-6-0
2.49Buts par match 2.81
3.12Buts contre par match 2.81
18.02%Pourcentage en avantage numérique20.37%
79.89%Pourcentage en désavantage numérique83.78%
Meneurs d'équipe
Buts
Evander Kane
20
Passes
Boone Jenner
26
Points
Evander Kane
36
Plus/Moins
Boone Jenner
2
Victoires
Sergei Bobrovsky
15
Pourcentage d’arrêts
Sergei Bobrovsky
0.905

Statistiques d’équipe
Buts pour
127
2.49 GFG
Tirs pour
1606
31.49 Avg
Pourcentage en avantage numérique
18.0%
31 GF
Début de zone offensive
41.6%
Buts contre
159
3.12 GAA
Tirs contre
1604
31.45 Avg
Pourcentage en désavantage numérique
79.9%%
37 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralRichard Chaput
EntraîneurJohn Tortorella
DivisionDivision Centrale
ConférenceConference Ouest
CapitaineKyle Turris
Assistant #1Alexander Semin
Assistant #2Dmitri Orlov


Informations de l’aréna

NomScottrade Center
Capacité22,500
Assistance16,160
Billets de saison9,000


Informations de la formation

Équipe Pro20
Équipe Mineure32
Limite contact 52 / 55
Espoirs27


Plafond salarial Non Activé

Cap Salarial de la Saison estimé72,900,000$
Plafond salarial disponible4,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour39,369,617$
Dépenses annuelles à ce jour43,054,554$
Revenus de la saison estimés27,886,812$
Dépenses de la saison estimées30,247,275$
Compte bancaire actuel60,086,834$
Compte bancaire projeté57,437,486$


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
1Evander KaneX100.0084606075729282886780817480999248377603215,000,000$
2Ryan StromeX99.0067468572729491827686748070938354477503027,000,000$
3Kyle Turris (C)X100.0046249977689693847982827075928539477403437,000,000$
4Alexander Semin (A)X99.0065458067698589776979817879999915477303936,000,000$
5Christian DvorakX99.0072439174739090768276757979868461477302725,500,000$
6Boone JennerX99.0072578470759191698274738275957254397103014,500,000$
7Alexander BarabanovX100.0064459274698485756278737468595259476802923,000,000$
8Sean KuralyX100.00774576747482837376707175696865534768N0302900,000$
9Austin WatsonX100.0073648069767189716170748064816247476703113,000,000$
10Brock McGinnX100.0066459271707890696472737766735153476702932,500,000$
11Maxim MaminX100.0072458771737377787569777672605658476702822,000,000$
12Joel ArmiaX100.0071448970727985736572717280655349476603013,000,000$
13Dmitri Orlov (A)X99.00734589727291847645787078688076504072N03235,925,000$
14Dmitry KulikovX100.00694585747286837345726779658673464471N0331900,000$
15Xavier OuelletX100.0066457971717578764573737963827154376903034,000,000$
16Zach WhitecloudX100.0071458675747885764571697562655062476802721,500,000$
17Jake BeanX100.006645887269848871457370736358516036670252900,000$
18Logan StanleyX100.007349847274758674457464775658466047670252900,000$
Rayé
Équipe Mineure
1Brendan LemieuxX100.00797563747373827367716975676355628866X02732,350,000$
2Jesse JoensuuX100.0076627869737582686367696965716835806503612,100,000$
3Brandon DuhaimeX100.0078886476707388736271707066584966696502631,500,000$
4Leo KomarovX100.0081455970697467677467656662747130636503621,550,000$
5J.T. BrownX100.0070588369667088696367697568756145766503311,900,000$
6Teddy BluegerX100.0065498870687791717272717571615056836502911,700,000$
7Miikka SalomakiX100.0064439568717176706369687266584853886403031,375,000$
8Ludvig RensfeldtX100.0072487968717381696471696572635846766403111,500,000$
9Jayson MegnaX100.0068459072717673696871647062604942596403321,850,000$
10Daniel AudetteX100.0070457772667777707170696760585260766402721,100,000$
11Carter RowneyX100.0065459971737369706567687066615438886403431,325,000$
12Kole Lind (R)X100.006445907270707068667070646445456076630253750,000$
13Alexei MarchenkoX100.0060399070747583634567577360746245766503111,700,000$
14Raphael DiazX100.0052419366707173664568637160876428576403711,725,000$
15Jack Rathbone (R)X100.006645917066727271456969726345456073640243900,000$
16Patrick SieloffX100.0070628169727070714567707368454556856402931,375,000$
17Mark BorowieckiX100.0068556070737075694565657263705342846303431,100,000$
18Taylor FedunX100.0061459271726972704568706966605034536303521,400,000$
19Jordan CaronX100.0078587667746775696365656865716148206403311,750,000$
20Oscar MollerX100.0051369468696775666766646463797339206303411,750,000$
21Cody McLeodX100.0065547467706770646862626960826526206203911,150,000$
22Luke AdamX100.0057439568737072686966656962584947266203321,300,000$
23Anthony PelusoX100.007770766377647561655958716266593820610341975,000$
24Henrik SamuelssonX100.006855696675686464716260716353524920600291750,000$
25Simon DespresX95.0067468868757075704566657563595050736503231,675,000$
26Tyler WotherspoonX100.0061449269736769704568677165494553326303031,100,000$
27Jakub JerabekX100.0061459571707173704569667064494646306303231,150,000$
28Cameron GaunceX100.0062459468726969674565647063494642206203321,450,000$
29Yann SauveX100.006448826973717164456361676055454920610331900,000$
MOYENNE D’ÉQUIPE99.77684984707276797160706973666859485266
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
1Sergei Bobrovsky98.007495967679939495968992999936257803527,000,000$
2Scott Wedgewood99.008085837981778481828485595953226703122,375,000$
Rayé
Équipe Mineure
1Maxime Lagace100.007678757879778081828083505453756403031,450,000$
2Jeff Glass100.006675777974687373727479807724836303811,750,000$
3Chet Pickard100.00697573797674737374727362654626620341950,000$
MOYENNE D’ÉQUIPE99.4073828178787881818180827071424667
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella93988768999938USA665500,000$


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
1Evander KaneBluesLW50201636-17410148611764311711.36%792018.41561135146000054347.44%7800010.7814002622
2Kyle TurrisBluesC51142135-13201100176431047.95%694018.45581336146000001351.82%123700000.7400000040
3Alexander SeminBluesRW51151530-2803458157231089.55%897019.03459391470000342150.65%7700010.6202000012
4Boone JennerBluesC50326292195419511131872.70%1198919.800991812701111320052.62%135500000.5900001002
5Ryan StromeBluesRW51131629-101206082144451009.03%19105420.6828102814200001292150.00%16400010.5500000102
6Dmitri OrlovBluesD4862329-762053398020407.50%58103421.55369471250110118110%000000.5600000020
7Xavier OuelletBluesD5142024-1524053426424496.25%46107421.072810261280001106010%000000.4500000010
8Alexander BarabanovBluesRW51121123-760172712732839.45%768413.4254944142000015136.73%4900000.6700000202
9Christian DvorakBluesLW5191120-132007170145441016.21%5101819.974152612900021340149.52%31100000.3924000110
10Dmitry KulikovBluesD5141216-1237566404815218.33%59100419.700005100002133100%000100.3200010002
11Logan StanleyBluesD5111415056068331911185.26%5293118.27000250001123000%000000.3200000001
12Maxim MaminBluesC518715-2160476271204911.27%358511.47022842000020048.12%63800000.5100000211
13Zach WhitecloudBluesD511910-1534059463213193.13%6697319.0911210530000102000%000000.2100000012
14Brock McGinnBluesLW51448-54022317814415.13%957611.30000030000280039.34%6100000.2800000011
15Sean KuralyBluesC51437-1212038484310329.30%24047.9300000000041045.80%45200000.3500000110
16Jake BeanBluesD40077-714035223410220%3276919.240111784000021000%000000.1800000000
17Austin WatsonBluesRW51426-126026225614447.14%951910.190000010151351041.46%4100000.2300000002
18Joel ArmiaBluesLW51235-124013173510435.71%73887.6200001000000030.00%3000000.2625000000
19Simon DespresThunderbirds (Stl)D140444201967730%1022215.930002000008000%000000.3600000110
20Brendan LemieuxThunderbirds (Stl)LW1000220131030%01010.270000000000000%10000000000000
21Teddy BluegerThunderbirds (Stl)C1000-200112120%01313.0200000000000050.00%160000000000000
Statistiques d’équipe totales ou en moyenne918124224348-13941420873905160643010867.72%4161508916.443159903431438123121223181250.02%451000130.46515013141619
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
1Sergei BobrovskyBlues42152030.9052.9222582011011530000.733153714231
2Scott WedgewoodBlues186700.8963.408294047451000001437210
Statistiques d’équipe totales ou en moyenne60212730.9023.053087601571604000155151441


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alexander BarabanovBluesRW291994-06-17No192 Lbs5 ft10NoNoN/ANoNo2Pro & Farm3,000,000$3,000,000$1,236,264$No3,000,000$--------No--------Lien
Alexander SeminBluesRW391984-03-03No210 Lbs6 ft2NoNoN/ANoNo3Pro Only6,000,000$6,000,000$2,472,527$No6,000,000$6,000,000$-------NoNo-------Lien
Austin WatsonBluesRW311992-01-13No204 Lbs6 ft4NoNoN/ANoNo1Pro & Farm3,000,000$3,000,000$1,236,264$No------------------Lien
Boone JennerBluesC301993-06-15No215 Lbs6 ft2NoNoN/ANoNo1Pro & Farm4,500,000$4,500,000$1,854,396$No------------------Lien
Brock McGinnBluesLW291994-02-02No185 Lbs6 ft0NoNoN/ANoNo3Pro & Farm2,500,000$2,500,000$1,030,220$No2,500,000$2,500,000$-------NoNo-------Lien
Christian DvorakBluesLW271996-02-02No195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm5,500,000$5,500,000$2,266,484$No5,500,000$--------No--------Lien
Dmitri OrlovBluesD321991-07-23No214 Lbs5 ft11YesNoN/ANoNo3Pro Only5,925,000$5,925,000$2,441,621$No5,925,000$5,925,000$-------YesYes-------Lien
Dmitry KulikovBluesD331990-10-29 00:01:24No201 Lbs6 ft1YesNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Evander KaneBluesLW321991-08-02No180 Lbs6 ft1NoNoN/ANoNo1Pro & Farm5,000,000$5,000,000$2,060,440$No------------------Lien
Jake BeanBluesD251998-06-09No186 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Joel ArmiaBluesLW301993-05-31No205 Lbs6 ft3NoNoN/ANoYes1Pro Only3,000,000$3,000,000$1,236,264$No------------------Lien
Kyle TurrisBluesC341989-08-14No170 Lbs6 ft1NoNoN/ANoNo3Pro Only7,000,000$7,000,000$2,884,615$No7,000,000$7,000,000$-------NoNo-------Lien
Logan StanleyBluesD251998-05-26No216 Lbs6 ft6NoNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Maxim MaminBluesC281995-01-13No191 Lbs6 ft2NoNoN/ANoNo2Pro & Farm2,000,000$2,000,000$824,176$No2,000,000$--------No--------Lien
Ryan StromeBluesRW301993-07-11No196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm7,000,000$7,000,000$2,884,615$No7,000,000$--------No--------Lien
Scott WedgewoodBluesG311992-08-14No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm2,375,000$2,375,000$978,709$No2,375,000$--------No--------Lien
Sean KuralyBluesC301993-01-20No213 Lbs6 ft2YesNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------Yes--------Lien
Sergei BobrovskyBluesG351988-09-20No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm7,000,000$7,000,000$2,884,615$No7,000,000$--------No--------Lien
Xavier OuelletBluesD301993-07-29No185 Lbs6 ft1NoNoN/ANoNo3Pro & Farm4,000,000$4,000,000$1,648,352$No4,000,000$4,000,000$-------NoNo-------Lien
Zach WhitecloudBluesD271996-11-28No209 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,500,000$1,500,000$618,132$No1,500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.35198 Lbs6 ft22.003,645,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
72,900,000$56,500,000$25,425,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Christian DvorakBoone JennerRyan Strome31032
2Evander KaneKyle TurrisAlexander Semin31023
3Brock McGinnMaxim MaminAlexander Barabanov23032
4Joel ArmiaSean KuralyAustin Watson15131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri OrlovXavier Ouellet34032
2Jake BeanDmitry Kulikov34032
3Logan StanleyZach Whitecloud32131
4Logan StanleyZach Whitecloud0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evander KaneKyle TurrisAlexander Semin60104
2Christian DvorakBoone JennerMaxim Mamin40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander BarabanovXavier Ouellet60014
2Ryan StromeDmitri Orlov40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christian DvorakRyan Strome50041
2Boone JennerAustin Watson50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyDmitry Kulikov50140
2Dmitri OrlovXavier Ouellet50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Boone Jenner50050Logan StanleyXavier Ouellet50050
2Ryan Strome50050Dmitri OrlovDmitry Kulikov50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle TurrisAlexander Semin50023
2Ryan StromeEvander Kane50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri OrlovXavier Ouellet50131
2Jake BeanDmitry Kulikov50131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evander KaneKyle TurrisAlexander SeminDmitri OrlovXavier Ouellet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Christian DvorakBoone JennerRyan StromeDmitri OrlovDmitry Kulikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Kuraly, Joel Armia, Austin WatsonBrock McGinn, Austin WatsonBrock McGinn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Whitecloud, Logan Stanley, Jake BeanJake BeanZach Whitecloud, Jake Bean
Tirs de pénalité
Joel Armia, Alexander Semin, Christian Dvorak, Boone Jenner, Kyle Turris
Gardien
#1 : Sergei Bobrovsky, #2 : Scott Wedgewood


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
1Avalanches32100000710-31010000016-52200000064240.66771320004120852635240943528427228.57%14471.43%1957187651.01%882182748.28%41780751.67%664575223818
2BlackHawks41300000710-32110000034-12020000046-220.25071118003130151645235011631577426311.54%19384.21%0957187651.01%882182748.28%41780751.67%1017089284925
3BlueJacket1010000012-11010000012-10000000000000.0001120000104181122026627300.00%10100.00%0957187651.01%882182748.28%41780751.67%2618207136
4Bruins1010000034-1000000000001010000034-100.00036900210025612703314415500.00%20100.00%0957187651.01%882182748.28%41780751.67%2215246136
5Canucks2020000017-62020000017-60000000000000.000123000010661523280601014409111.11%6183.33%0957187651.01%882182748.28%41780751.67%473146142512
6Coyotes1010000012-1000000000001010000012-100.00011200100033111570224822600.00%3166.67%0957187651.01%882182748.28%41780751.67%2316238125
7Devils11000000431110000004310000000000021.000471100400033915903162194125.00%10100.00%0957187651.01%882182748.28%41780751.67%2316247126
8Ducks2010001059-42010001059-40000000000020.5005712000221621617274781922277114.29%10370.00%0957187651.01%882182748.28%41780751.67%473150142612
9Flames4210100015872010100044022000000114760.750152540007431120403641313430487910440.00%21385.71%0957187651.01%882182748.28%41780751.67%916199305224
10Flyers1010000025-3000000000001010000025-300.000246000200254912040141815200.00%8187.50%0957187651.01%882182748.28%41780751.67%1912267136
11GoldenKnights421010001213-1210010007522110000058-360.750122133002541139445340214239286910220.00%14378.57%0957187651.01%882182748.28%41780751.67%936595295226
12Jets41200100810-2211000007432010010016-530.37581422002330115453236213734448219315.79%21671.43%0957187651.01%882182748.28%41780751.67%946297315125
13Kings2020000038-5000000000002020000038-500.00036900030050151421065171425300.00%7185.71%0957187651.01%882182748.28%41780751.67%443049162612
14Kraken1000000123-1000000000001000000123-110.500246001011306101342856154125.00%3166.67%0957187651.01%882182748.28%41780751.67%2617248146
15Lightning11000000431000000000001100000043121.0004812002110309156033810204125.00%50100.00%0957187651.01%882182748.28%41780751.67%2013287115
16MapleLeafs10000010211100000102110000000000021.0002240001013112125536102213133.33%10100.00%0957187651.01%882182748.28%41780751.67%2416277137
17Oilers330000001367220000007431100000062461.00013243700571010939393107817285014321.43%14285.71%0957187651.01%882182748.28%41780751.67%785563223719
18Penguins1010000012-11010000012-10000000000000.00012300010027121050314623100.00%3166.67%0957187651.01%882182748.28%41780751.67%2014276115
19Predators422000001113-22110000056-12110000067-140.500111930004340127304849011122167111218.18%7185.71%0957187651.01%882182748.28%41780751.67%1006987295226
20RedWings1010000023-1000000000001010000023-100.000246001010281310502080194125.00%000%0957187651.01%882182748.28%41780751.67%2618206137
21Sabres1010000014-3000000000001010000014-300.00012300100026410120367810000%4175.00%0957187651.01%882182748.28%41780751.67%2416226137
22Sharks40400000819-111010000046-230300000413-900.0008162400233012531563801283645629111.11%15566.67%0957187651.01%882182748.28%41780751.67%926299284823
23Stars31100001910-1110000002112010000179-230.5009172600522197253832691298536116.67%40100.00%0957187651.01%882182748.28%41780751.67%775571193618
24Wild10000010541100000105410000000000021.0005813001031319713534112135360.00%10100.00%0957187651.01%882182748.28%41780751.67%2417277126
Total51162702132127159-3224811020305968-927816001026891-23450.44112722435100474035716064935795183116044164208731723118.02%1843779.89%1957187651.01%882182748.28%41780751.67%12188371222377652324
_Since Last GM Reset51162702132127159-3224811020305968-927816001026891-23450.44112722435100474035716064935795183116044164208731723118.02%1843779.89%1957187651.01%882182748.28%41780751.67%12188371222377652324
_Vs Conference42142102122107132-252079020205160-922712001025672-16390.46410718829500373432613404164754352613183393687241462718.49%1593478.62%1957187651.01%882182748.28%41780751.67%10096941002312536266
_Vs Division20710001114859-11944000102325-21136001012534-9180.450488313100201017263921022719613605166163357801417.50%691578.26%1957187651.01%882182748.28%41780751.67%487337472147252126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5145L11272243511606160441642087300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5116272132127159
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2481120305968
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2781601026891
Derniers 10 matchs
WLOTWOTL SOWSOL
540010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1723118.02%1843779.89%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
493579518314740357
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
957187651.01%882182748.28%41780751.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12188371222377652324


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
2 - 2023-08-2618BlackHawks2Blues0BLR3Sommaire du match
4 - 2023-08-2833Blues2BlackHawks3ALSommaire du match
6 - 2023-08-3046Flames1Blues2BWXSommaire du match
8 - 2023-09-0160Blues1Sharks5ALSommaire du match
10 - 2023-09-0371Blues1Predators4ALSommaire du match
12 - 2023-09-0587Blues0Sharks3ALSommaire du match
14 - 2023-09-0796MapleLeafs1Blues2BWXXSommaire du match
16 - 2023-09-09107Blues2Kings4ALSommaire du match
18 - 2023-09-11123Blues4Stars5ALXXSommaire du match
20 - 2023-09-13135Oilers3Blues5BWSommaire du match
22 - 2023-09-15149Blues3Avalanches2AWSommaire du match
24 - 2023-09-17167GoldenKnights2Blues3BWXSommaire du match
26 - 2023-09-19181Blues2GoldenKnights6ALSommaire du match
28 - 2023-09-21196Canucks2Blues1BLSommaire du match
31 - 2023-09-24216Blues1Coyotes2ALSommaire du match
33 - 2023-09-26229Predators3Blues4BWSommaire du match
35 - 2023-09-28247Blues1Jets2ALXSommaire du match
37 - 2023-09-30261Jets1Blues6BWSommaire du match
39 - 2023-10-02277Blues0Jets4ALSommaire du match
42 - 2023-10-05295Devils3Blues4BWSommaire du match
45 - 2023-10-08315Blues3Bruins4ALSommaire du match
46 - 2023-10-09325BlackHawks2Blues3BWR3Sommaire du match
49 - 2023-10-12347Ducks7Blues2BLSommaire du match
51 - 2023-10-14363Blues3GoldenKnights2AWSommaire du match
53 - 2023-10-16379Blues4Lightning3AWSommaire du match
55 - 2023-10-18388Ducks2Blues3BWXXSommaire du match
57 - 2023-10-20409Blues2RedWings3ALSommaire du match
58 - 2023-10-21419Sharks6Blues4BLSommaire du match
61 - 2023-10-24435Blues1Sabres4ALSommaire du match
63 - 2023-10-26449Canucks5Blues0BLSommaire du match
65 - 2023-10-28464Blues2Kraken3ALXXSommaire du match
67 - 2023-10-30482Stars1Blues2BWSommaire du match
69 - 2023-11-01497Blues2BlackHawks3ALR3Sommaire du match
72 - 2023-11-04514Jets3Blues1BLSommaire du match
74 - 2023-11-06534Blues4Flames2AWSommaire du match
76 - 2023-11-08546BlueJacket2Blues1BLSommaire du match
78 - 2023-11-10560Blues1Kings4ALSommaire du match
81 - 2023-11-13579Oilers1Blues2BWSommaire du match
83 - 2023-11-15597Blues2Flyers5ALSommaire du match
84 - 2023-11-16610Penguins2Blues1BLSommaire du match
87 - 2023-11-19627Blues3Stars4ALSommaire du match
89 - 2023-11-21641Avalanches6Blues1BLSommaire du match
91 - 2023-11-23661Blues5Predators3AWSommaire du match
93 - 2023-11-25673Predators3Blues1BLSommaire du match
95 - 2023-11-27690Blues6Oilers2AWSommaire du match
97 - 2023-11-29704GoldenKnights3Blues4BWSommaire du match
99 - 2023-12-01717Blues3Sharks5ALSommaire du match
101 - 2023-12-03727Blues7Flames2AWSommaire du match
103 - 2023-12-05741Wild4Blues5BWXXSommaire du match
105 - 2023-12-07763Blues3Avalanches2AWSommaire du match
107 - 2023-12-09774Flames3Blues2BLSommaire du match
109 - 2023-12-11787Blues-Wild-
111 - 2023-12-13804Penguins-Blues-
113 - 2023-12-15814Blues-Ducks-
115 - 2023-12-17835Avalanches-Blues-
116 - 2023-12-18844Blues-Panthers-
120 - 2023-12-22868Blues-Hurricanes-
121 - 2023-12-23876Rangers-Blues-
124 - 2023-12-26899Wild-Blues-
125 - 2023-12-27912Blues-Oilers-
128 - 2023-12-30931Sharks-Blues-
129 - 2023-12-31940Blues-Capitals-
132 - 2024-01-03961Blues-Canucks-
133 - 2024-01-04966MapleLeafs-Blues-
136 - 2024-01-07989Blues-Canucks-
138 - 2024-01-09998Coyotes-Blues-
140 - 2024-01-111013Blues-Kraken-
142 - 2024-01-131029Stars-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181060Kraken-Blues-
149 - 2024-01-201078Blues-Penguins-
151 - 2024-01-221092BlackHawks-Blues-
153 - 2024-01-241109Blues-Wild-
155 - 2024-01-261124Kings-Blues-
158 - 2024-01-291145Blues-Ducks-
159 - 2024-01-301154Senators-Blues-
163 - 2024-02-031186Coyotes-Blues-
165 - 2024-02-051193Blues-Canadiens-
168 - 2024-02-081216Senators-Blues-
170 - 2024-02-101226Blues-Coyotes-
173 - 2024-02-131253Islanders-Blues-
177 - 2024-02-171279Kings-Blues-
180 - 2024-02-201301Kraken-Blues-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80006000300040001500
Prix des billets90604030170
Assistance162,396101,53139,49262,57621,850
Attendance PCT84.58%70.51%54.85%65.18%60.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 16160 - 71.82% 1,640,401$39,369,617$22500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
43,054,554$ 72,900,000$ 72,900,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
72,900,000$ 42,760,556$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
27,886,812$ 75 403,297$ 30,247,275$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
32,086,200$ 60,086,834$ 57,437,486$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
72,900,000$ 4,000,000$ 76,900,000$ 72,900,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Evander KaneAGE:32PO:48OV:76
Christian DvorakAGE:27PO:61OV:73
Brock McGinnAGE:29PO:53OV:67
Brendan LemieuxAGE:27PO:62OV:66
Joel ArmiaAGE:30PO:49OV:66
Jesse JoensuuAGE:36PO:35OV:65
Ludvig RensfeldtAGE:31PO:46OV:64
Carter RowneyAGE:34PO:38OV:64
Cody McLeodAGE:39PO:26OV:62
Kyle TurrisAGE:34PO:39OV:74
Boone JennerAGE:30PO:54OV:71
Sean KuralyAGE:30PO:53OV:68
Maxim MaminAGE:28PO:58OV:67
Teddy BluegerAGE:29PO:56OV:65
Leo KomarovAGE:36PO:30OV:65
Daniel AudetteAGE:27PO:60OV:64
Jayson MegnaAGE:33PO:42OV:64
Oscar MollerAGE:34PO:39OV:63
Luke AdamAGE:33PO:47OV:62
Henrik SamuelssonAGE:29PO:49OV:60
Ryan StromeAGE:30PO:54OV:75
Alexander SeminAGE:39PO:15OV:73
Alexander BarabanovAGE:29PO:59OV:68
Austin WatsonAGE:31PO:47OV:67
Brandon DuhaimeAGE:26PO:66OV:65
J.T. BrownAGE:33PO:45OV:65
Miikka SalomakiAGE:30PO:53OV:64
Jordan CaronAGE:33PO:48OV:64
Kole Lind (R)AGE:25PO:60OV:63
Anthony PelusoAGE:34PO:38OV:61

Défense #1Défense #2Gardien
Dmitri OrlovAGE:32PO:50OV:72
Dmitry KulikovAGE:33PO:46OV:71
Xavier OuelletAGE:30PO:54OV:69
Zach WhitecloudAGE:27PO:62OV:68
Jake BeanAGE:25PO:60OV:67
Logan StanleyAGE:25PO:60OV:67
Simon DespresAGE:32PO:50OV:65
Alexei MarchenkoAGE:31PO:45OV:65
Jack Rathbone (R)AGE:24PO:60OV:64
Patrick SieloffAGE:29PO:56OV:64
Raphael DiazAGE:37PO:28OV:64
Tyler WotherspoonAGE:30PO:53OV:63
Jakub JerabekAGE:32PO:46OV:63
Mark BorowieckiAGE:34PO:42OV:63
Taylor FedunAGE:35PO:34OV:63
Cameron GaunceAGE:33PO:42OV:62
Yann SauveAGE:33PO:49OV:61
Sergei BobrovskyAGE:35PO:36OV:78
Scott WedgewoodAGE:31PO:53OV:67
Maxime LagaceAGE:30PO:53OV:64
Jeff GlassAGE:38PO:24OV:63
Chet PickardAGE:34PO:46OV:62

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Alex CottonBlues1189
Benoit-Olivier GroulxBlues931
Brad GardinerBlues151240Lien
Brayden PachalBlues9127
Brayden PetersBlues11153
Brett HarrisonBlues1321
Caedan BankierBlues13117
Conner RouletteBlues1353
Danil ZhilkinBlues1453
Dylan PetersonBlues1157
Grigori DenisenkoBlues922
Henrik RybinskiBlues10143
Isaiah GeorgeBlues141170Lien
Jake ChiassonBlues1385
Jake FisherBlues151410Lien
Jakub StanclBlues15770Lien
Josh WilliamsBlues10125
Kirill DolzhenkovBlues14850Lien
Luca Del bel belluzBlues1421
Lukas ParikBlues10104
Matthew RobertsonBlues1029
Matvey GuskovBlues1061
Nico MyatovicBlues15450Lien
Paul FischerBlues151090Lien
Samuel BolducBlues1054
Simon HolmstromBlues1046
William CuylleBlues1125

Choix au repêchage

Année R1R2R3R4R5
16
17
18
19
20
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Blues Historique de transactions

[2023-09-13 12:35:10] - Dmitri Orlov has been selected as assistant for Blues.
[2023-09-13 12:35:10] - is no longer as assistant for Blues.
[2023-09-12 12:34:36] - Dmitri Orlov is no longer as assistant for Blues.
[2023-08-19 13:17:37] - Dmitri Orlov has been selected as assistant for Blues.
[2023-08-19 13:17:37] - is no longer as assistant for Blues.
[2023-08-16 17:21:44] - Dmitri Orlov is no longer as assistant for Blues.
[2023-08-14 12:23:46] - Sean Kuraly signed with Blues for $900,000 for 2 year(s) / Option : No Trade.
[2023-08-14 12:23:46] - Sean Kuraly was added to Blues.
[2023-08-08 21:27:13] - Dmitri Orlov has been selected as assistant for Blues.
[2023-08-08 21:27:13] - is no longer as assistant for Blues.
[2023-08-08 20:38:25] - Dmitry Kulikov signed with Blues for $900,000 for 1 year(s) / Option : No Trade.
[2023-08-08 20:38:25] - Dmitry Kulikov was added to Blues.
[2023-08-01 11:44:05] - TRADE : From Senators to Blues : Maxim Mamin (67), Austin Watson (67), Grigori Denisenko (P).
[2023-08-01 11:44:05] - TRADE : From Blues to Senators : Darren Archibald (64), Brett Lernout (62), Y:17-RND:5-Stl.
[2023-08-01 02:04:46] - Mark Borowiecki signed with Blues for $1,100,000 for 3 year(s).
[2023-08-01 02:04:46] - Mark Borowiecki was added to Blues.
[2023-07-30 13:31:23] - Jake Fisher has been added to Blues.
[2023-07-30 13:31:23] - Brad Gardiner has been added to Blues.
[2023-07-30 13:31:23] - Paul Fischer has been added to Blues.
[2023-07-30 13:31:23] - Jakub Stancl has been added to Blues.
[2023-07-30 13:31:23] - Nico Myatovic has been added to Blues.
[2023-07-26 11:00:15] - Tyler Wotherspoon signed with Blues for $1,100,000 for 3 year(s).
[2023-07-26 11:00:15] - Tyler Wotherspoon was added to Blues.
[2023-07-25 10:15:16] - Team Name Change : Wolves changed name to Thunderbirds
[2023-07-23 22:37:53] - Jakub Jerabek signed with Blues for $1,150,000 for 3 year(s).
[2023-07-23 22:37:53] - Jakub Jerabek was added to Blues.
[2023-07-23 22:36:14] - Carter Rowney signed with Blues for $1,325,000 for 3 year(s).
[2023-07-23 22:36:14] - Carter Rowney was added to Blues.
[2023-07-20 09:56:13] - Patrick Sieloff signed with Blues for 1 375 000 $ for 3 year(s).
[2023-07-20 09:56:13] - Patrick Sieloff was added to Blues.
[2023-07-20 09:56:02] - Miikka Salomaki signed with Blues for 1 375 000 $ for 3 year(s).
[2023-07-20 09:56:02] - Miikka Salomaki was added to Blues.
[2023-07-17 10:19:47] - Simon Despres signed with Blues for 1 675 000 $ for 3 year(s).
[2023-07-17 10:19:47] - Simon Despres was added to Blues.
[2023-07-17 10:19:16] - Maxime Lagace signed with Blues for 1 450 000 $ for 3 year(s).
[2023-07-17 10:19:16] - Maxime Lagace was added to Blues.
[2023-07-03 21:11:34] - Dmitri Orlov signed with Blues for 5 925 000 $ for 3 year(s) / Option : No Trade.
[2023-07-03 21:11:34] - Dmitri Orlov was added to Blues.
[2023-07-03 21:09:19] - Brendan Lemieux signed with Blues for 2 350 000 $ for 3 year(s).
[2023-07-03 21:09:19] - Brendan Lemieux was added to Blues.
[2023-07-03 21:01:33] - Unknown Player is no longer as assistant for Blues.



[2023-12-10 19:07:39] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-09 15:21:11] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-08 19:13:33] Game 771 - Simon Despres from Thunderbirds is injured (Torso) and is out for 1 week.
[2023-12-08 19:10:26] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-07 14:57:47] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-06 12:37:49] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-05 13:02:00] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-05 13:02:00] Brendan Lemieux of Blues was sent down to farm.
[2023-12-04 13:00:51] Pro Game #727 - Ryan Strome from Blues has scored a Hat Trick!
[2023-12-04 13:00:51] Evander Kane from Blues completes suspension
[2023-12-04 12:57:26] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-04 12:57:26] Brendan Lemieux of Blues was sent to pro.
[2023-12-04 12:57:26] Cody McLeod of Blues was sent down to farm.
[2023-12-03 22:58:13] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-03 22:58:13] Cody McLeod of Blues was sent to pro.
[2023-12-02 21:25:46] Raphael Diaz from Thunderbirds is back from Chest/Ribs Injury.
[2023-12-02 21:25:45] Pro Game #717 - Alexander Semin from Blues has scored a Hat Trick!
[2023-12-02 21:25:45] Game 717 - Evander Kane from Blues suspended for 1 game(s)
[2023-12-02 21:22:07] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-12-01 21:38:50] Last 7 Days Pro Star : 1 - Evander Kane of Blues (5-0-5) / 2 - Pavel Buchnevich of Flyers (2-5-7) / 3 - Mark Scheifele of Hurricanes (3-3-6)
[2023-12-01 21:37:38] Successfully loaded Blues lines done with STHS Client - 3.4.0.0
[2023-11-30 12:41:01] Xavier Ouellet from Blues is back from Torso Injury.
[2023-11-30 12:41:00] Game 704 - Xavier Ouellet from Blues is injured (Torso) and is out for 3 days.
[2023-11-30 12:40:49] Successfully loaded Blues lines done with STHS Client - 3.3.5.5
[2023-11-29 12:33:43] Successfully loaded Blues lines done with STHS Client - 3.3.5.5
[2023-11-28 21:04:15] Pro Game #690 - Evander Kane from Blues has scored a Hat Trick!
[2023-11-28 21:03:27] Successfully loaded Blues lines done with STHS Client - 3.3.5.5
[2023-11-27 19:27:52] Successfully loaded Blues lines done with STHS Client - 3.3.5.5
[2023-11-27 19:27:52] Teddy Blueger of Blues was sent down to farm.
[2023-11-26 19:29:45] Boone Jenner from Blues is back from Strained Right Elbow Injury.



Simon Despres est dehors pour 1 jours à cause de Torso Injury.



Blues Leaders statistiques des joueurs (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

Blues 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

Blues 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

Blues Leaders statistiques des joueurs (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

Blues 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