Connexion

Blues
GP: 5 | W: 1 | L: 4
GF: 13 | GA: 19 | PP%: 15.15% | PK%: 77.42%
DG: Vincent Tardif | Morale : 99 | Moyenne d’équipe : 79
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Centre de jeu
Black Hawks
8-1-0, 16pts
3
FINAL
4 Blues
1-4-0, 2pts
Team Stats
W5SéquenceL1
5-0-0Fiche domicile1-1-0
3-1-0Fiche visiteur0-3-0
8-0-1Derniers 10 matchs1-3-1
3.44Buts par match 2.60
2.00Buts contre par match 3.80
20.37%Pourcentage en avantage numérique15.15%
89.36%Pourcentage en désavantage numérique77.42%
Blues
1-4-0, 2pts
1
FINAL
3 Black Hawks
8-1-0, 16pts
Team Stats
L1SéquenceW5
1-1-0Fiche domicile5-0-0
0-3-0Fiche visiteur3-1-0
1-3-1Derniers 10 matchs8-0-1
2.60Buts par match 3.44
3.80Buts contre par match 2.00
15.15%Pourcentage en avantage numérique20.37%
77.42%Pourcentage en désavantage numérique89.36%
Meneurs d'équipe
Ryan PulockButs
Ryan Pulock
2
Ryan PulockPasses
Ryan Pulock
3
Ryan PulockPoints
Ryan Pulock
5
Plus/Moins
Anton Stralman
5
Juuse SarosVictoires
Juuse Saros
1
Juuse SarosPourcentage d’arrêts
Juuse Saros
0.893

Statistiques d’équipe
Buts pour
13
2.60 GFG
Tirs pour
151
30.20 Avg
Pourcentage en avantage numérique
15.2%
5 GF
Début de zone offensive
38.9%
Buts contre
19
3.80 GAA
Tirs contre
177
35.40 Avg
Pourcentage en désavantage numérique
77.4%%
7 GA
Début de la zone défensive
44.9%
Informations de l'équipe

Directeur généralVincent Tardif
EntraîneurBob Hartley
DivisionCentrale
ConférenceConference Ouest
CapitaineLeon Draisaitl
Assistant #1Miro Heiskanen
Assistant #2Cam Atkinson


Informations de l’aréna

NomScott Trade Center
Capacité18,000
Assistance18,000
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure16
Limite contact 36 / 60
Espoirs19


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible88,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour3,784,600$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel10,774,553$
Compte bancaire projeté10,774,553$


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
1Leon Draisaitl (C)XXX100.006860898786999895939498759575800769002828,500,000$
2Patrick KaneX100.006260948666979195708878639597990768303536,800,000$
3Timo MeierXX100.007660878281889483757982708267670768002788,300,000$
4Mikael BacklundX100.006960887877909980897775867788880717903515,800,000$
5Bryan RustX100.006860867972898877707779768070700737803116,000,000$
6Ryan StromeXX100.006460747974899585858075718277770767803025,500,000$
7Ivan BarbashevXXX100.007660878079839776817977797566660767702843,800,000$
8Cam Atkinson (A)X100.006360968268908384737575808180800727703435,600,000$
9Marcus FolignoXX100.008885657892848275707276827780850767703213,100,000$
10Marcus JohanssonXX100.006660977975849079767270697682820767503333,000,000$
11Dustin BrownX100.007260906580807778707169647899990767303911,200,000$
12Ryan McLeodXX100.006360947679768070847069767057570767102422,100,000$
13Moritz SeiderX100.00776082898392998950847287725757072820231900,000$
14Miro Heiskanen (A)X100.007060888777969484508977877063630768202468,000,000$
15Ryan PulockX100.007560977982888979507468826866660767702935,200,000$
16Nick LeddyX100.00686094827588968250776670748686076760332900,000$
17Anton StralmanX100.007160937273858069506871846688880587503712,800,000$
18Alexandre CarrierX100.007360847774868073507165846657570767402712,500,000$
Rayé
Équipe Mineure
1Nico SturmX100.007360887681789270867071777057570877202811,900,000$
2Pat MaroonX100.00768562708673977475706764747585093720362900,000$
3Lukas Reichel (R)X100.00686080787275757370717068705252092710213900,000$
4Steven LorentzXX100.006960887281747566826970686957570907002821,900,000$
5Loui ErikssonXX100.00606097637172737572716373769696092700381900,000$
6Josh LeivoXX100.00706080728076786970716672706262092690301900,000$
7Tyler BozakX100.00646088687376737183696375708585092690381900,000$
8Ross JohnstonX100.008775627295737366686762656857570896703021,900,000$
9Connor BunnamanX100.00706080707172726879606068645555092640261900,000$
10Tucker PoolmanX100.007260887278777465506361766457570926903011,900,000$
11Dean KukanX100.006960887273747468506863706657570926803021,900,000$
12Andrej SustrX100.006660807076737366506560706265650906703321,900,000$
13Markus NutivaaraX100.006960887075727270506160706562620926702921,900,000$
MOYENNE D’ÉQUIPE100.0070628676788284766873707473717108174
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
1Juuse Saros100.00959493729792989798909585850609002925,000,000$
2Jonathan Quick100.00808183818179818181798398980788103813,000,000$
Rayé
Équipe Mineure
1Jonathan Bernier100.00707070737070707070707091910887103511,500,000$
2Mads Sogaard (R)100.0074727292747070737371726464075710232900,000$
3Curtis McElhinney100.0060606084606060606060608282054630401900,000$
MOYENNE D’ÉQUIPE100.007675768076747676767476848407175
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley78888088929260CAN6215,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Ryan PulockBluesD5235-44014683425.00%612224.50123527000018000%000000.8200000000
2Leon DraisaitlBluesC/LW/RW5235-3608142210189.09%311122.25033731000000054.84%15500000.9000000000
3Marcus FolignoBluesLW/RW521301002061521213.33%08717.580005260000121050.00%600000.6800000001
4Nick LeddyBluesD5033-440865060%1011523.05022427000011000%000000.5200000000
5Patrick KaneBluesRW5213100411911222.22%09318.80112330000000060.00%500000.6400000000
6Ryan StromeBluesC/RW51231001961416.67%05911.8100002000060050.75%6700001.0200000000
7Cam AtkinsonBluesRW5022120274170%07915.84000000000300066.67%300000.5100000000
8Alexandre CarrierBluesD502251002033350%88016.0600000000017000%000000.5000000000
9Miro HeiskanenBluesD5112-560131311389.09%814328.611121030000025000%000000.2800000000
10Mikael BacklundBluesC502202021615290%211823.710008250001300052.80%16100000.3400000000
11Timo MeierBluesLW/RW5022-30020913590%011022.19011131000000040.00%500000.3600000000
12Moritz SeiderBluesD5101-51002615172125.88%613927.811011530000021010%000000.1400000100
13Ivan BarbashevBluesC/LW/RW50111203116140%27815.67000000000150034.62%2600000.2600000000
14Bryan RustBluesRW5101-400107831512.50%010320.73101426000000033.33%900000.1900000000
15Marcus JohanssonBluesLW/RW5101-2200021350.00%0346.930000000000000%000000.5800000000
16Anton StralmanBluesD5000540411010%26513.060000000002000%00000000000000
17Dustin BrownBluesRW5000-220210310%0346.850000000000000%10000000000000
18Ryan McLeodBluesC/LW5000-200066120%0346.8500000000000056.25%320000000000000
Statistiques d’équipe totales ou en moyenne90132336-20640157141151421328.61%47161117.90510156228900011951151.91%47000000.4500000101
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
1Juuse SarosBlues51310.8933.4333200191770000050100
Statistiques d’équipe totales ou en moyenne51310.8933.433320019177000050100


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 Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 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
Alexandre CarrierBluesD271996-10-08No174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro Only2,500,000$2,500,000$535,714$No------------------Lien / Lien NHL
Anton StralmanBluesD371986-08-01No190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro Only2,800,000$2,800,000$600,000$No------------------Lien
Bryan RustBluesRW311992-05-11No192 Lbs5 ft11NoNoTrade2024-03-21NoNo1FalseFalsePro Only6,000,000$6,000,000$1,285,714$No------------------Lien / Lien NHL
Cam AtkinsonBluesRW341989-06-05No179 Lbs5 ft8NoNoN/ANoNo3FalseFalsePro Only5,600,000$5,600,000$1,200,000$No5,600,000$5,600,000$-------NoNo-------Lien / Lien NHL
Dustin BrownBluesRW391984-11-04No216 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$1,200,000$257,143$No------------------Lien
Ivan BarbashevBluesC/LW/RW281995-12-14No187 Lbs6 ft0NoNoTrade2024-02-16NoNo4FalseFalsePro Only3,800,000$3,800,000$814,286$No3,800,000$3,800,000$3,800,000$------NoNoNo------Lien / Lien NHL
Jonathan QuickBluesG381986-01-21No220 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only3,000,000$3,000,000$642,857$No------------------Lien / Lien NHL
Juuse SarosBluesG291995-04-19No180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro Only5,000,000$5,000,000$1,071,429$No5,000,000$--------No--------Lien / Lien NHL
Leon DraisaitlBluesC/LW/RW281995-10-27No215 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro Only8,500,000$8,500,000$1,821,429$No8,500,000$--------No--------Lien / Lien NHL
Marcus FolignoBluesLW/RW321991-08-10No232 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro Only3,100,000$3,100,000$664,286$No------------------Lien / Lien NHL
Marcus JohanssonBluesLW/RW331990-10-06No203 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro Only3,000,000$3,000,000$642,857$No3,000,000$3,000,000$-------NoNo-------Lien / Lien NHL
Mikael BacklundBluesC351989-03-17No199 Lbs6 ft1NoNoTrade2024-02-19NoNo1FalseFalsePro Only5,800,000$5,800,000$1,242,857$No------------------Lien / Lien NHL
Miro HeiskanenBluesD241999-07-18No185 Lbs6 ft1NoNoN/ANoNo6FalseFalsePro Only8,000,000$8,000,000$1,714,286$No8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$----NoNoNoNoNo----Lien / Lien NHL
Moritz SeiderBluesD232001-04-06No197 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm900,000$900,000$192,857$No------------------Lien / Lien NHL
Nick LeddyBluesD331991-03-20No204 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$900,000$192,857$No900,000$--------No--------Lien / Lien NHL
Patrick KaneBluesRW351988-11-19No177 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro Only6,800,000$6,800,000$1,457,143$No6,800,000$6,800,000$-------NoNo-------Lien / Lien NHL
Ryan McLeodBluesC/LW241999-09-21No207 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro Only2,100,000$2,100,000$450,000$No2,100,000$--------No--------Lien / Lien NHL
Ryan PulockBluesD291994-10-06No214 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro Only5,200,000$5,200,000$1,114,286$No5,200,000$5,200,000$-------NoNo-------Lien / Lien NHL
Ryan StromeBluesC/RW301993-07-11No194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro Only5,500,000$5,500,000$1,178,571$No5,500,000$--------No--------Lien / Lien NHL
Timo MeierBluesLW/RW271996-10-08No215 Lbs6 ft0NoNoN/ANoNo8FalseFalsePro Only8,300,000$8,300,000$1,778,571$No8,300,000$8,300,000$8,300,000$8,300,000$8,300,000$8,300,000$8,300,000$--NoNoNoNoNoNoNo--Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.80199 Lbs6 ft02.404,400,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
88,000,000$62,700,000$40,700,000$20,100,000$16,300,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timo MeierLeon DraisaitlBryan Rust35005
2Ivan BarbashevMikael BacklundPatrick Kane30005
3Marcus FolignoRyan StromeCam Atkinson25014
4Marcus JohanssonRyan McLeodDustin Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderMiro Heiskanen42131
2Ryan PulockNick Leddy35131
3Anton StralmanAlexandre Carrier23230
4Moritz SeiderMiro Heiskanen0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timo MeierLeon DraisaitlPatrick Kane60005
2Marcus FolignoMikael BacklundBryan Rust40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderMiro Heiskanen60014
2Ryan PulockNick Leddy40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikael BacklundCam Atkinson60140
2Ivan BarbashevMarcus Foligno40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderMiro Heiskanen60050
2Ryan PulockAlexandre Carrier40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikael Backlund60050Moritz SeiderMiro Heiskanen60140
2Ivan Barbashev40050Ryan PulockAlexandre Carrier40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Leon DraisaitlTimo Meier60014
2Mikael BacklundPatrick Kane40113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderMiro Heiskanen60131
2Ryan PulockNick Leddy40131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timo MeierLeon DraisaitlPatrick KaneMoritz SeiderMiro Heiskanen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cam AtkinsonMikael BacklundIvan BarbashevMoritz SeiderMiro Heiskanen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Strome, Bryan Rust, Ivan BarbashevRyan Strome, Bryan RustRyan Strome
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Leddy, Anton Stralman, Alexandre CarrierNick LeddyNick Leddy, Anton Stralman
Tirs de pénalité
Leon Draisaitl, Patrick Kane, Timo Meier, Mikael Backlund, Ryan Strome
Gardien
#1 : Juuse Saros, #2 : Jonathan Quick
Lignes d’attaque personnalisées en prolongation
Leon Draisaitl, Patrick Kane, Timo Meier, Mikael Backlund, Ryan Strome, Bryan Rust, Bryan Rust, Ivan Barbashev, Marcus Foligno, Cam Atkinson, Marcus Johansson
Lignes de défense personnalisées en prolongation
Moritz Seider, Miro Heiskanen, Ryan Pulock, Nick Leddy, Anton Stralman


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
1Black Hawks514000001319-62110000078-130300000611-520.20013233600354115154503512177476415733515.15%31777.42%09018349.18%10921151.66%457659.21%12584140426734
Total514000001319-62110000078-130300000611-520.20013233600354115154503512177476415733515.15%31777.42%09018349.18%10921151.66%457659.21%12584140426734
_Since Last GM Reset514000001319-62110000078-130300000611-520.20013233600354115154503512177476415733515.15%31777.42%09018349.18%10921151.66%457659.21%12584140426734
_Vs Conference514000001319-62110000078-130300000611-520.20013233600354115154503512177476415733515.15%31777.42%09018349.18%10921151.66%457659.21%12584140426734
_Vs Division514000001319-62110000078-130300000611-520.20013233600354115154503512177476415733515.15%31777.42%09018349.18%10921151.66%457659.21%12584140426734

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1132336151177476415700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001319
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000078
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000611
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33515.15%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
545035123541
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
9018349.18%10921151.66%457659.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12584140426734


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
28Blues2Black Hawks3LXSommaire du match
416Blues3Black Hawks5LSommaire du match
624Black Hawks5Blues3LSommaire du match
832Black Hawks3Blues4WXSommaire du match
1040Blues1Black Hawks3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance12,00010,0004,0008,0002,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 18000 - 100.00% 1,892,300$3,784,600$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 88,000,000$ 88,000,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 10,774,553$ 10,774,553$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 88,500,000$ 88,500,000$ -62,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Leon DraisaitlAGE:28PO:0OV:90
Timo MeierAGE:27PO:0OV:80
Ivan BarbashevAGE:28PO:0OV:77
Marcus FolignoAGE:32PO:0OV:77
Marcus JohanssonAGE:33PO:0OV:75
Pat MaroonAGE:36PO:0OV:72
Lukas Reichel (R)AGE:21PO:0OV:71
Ryan McLeodAGE:24PO:0OV:71
Steven LorentzAGE:28PO:0OV:70
Loui ErikssonAGE:38PO:0OV:70
Josh LeivoAGE:30PO:0OV:69
Ross JohnstonAGE:30PO:0OV:67
Leon DraisaitlAGE:28PO:0OV:90
Mikael BacklundAGE:35PO:0OV:79
Ryan StromeAGE:30PO:0OV:78
Ivan BarbashevAGE:28PO:0OV:77
Nico SturmAGE:28PO:0OV:72
Ryan McLeodAGE:24PO:0OV:71
Steven LorentzAGE:28PO:0OV:70
Tyler BozakAGE:38PO:0OV:69
Connor BunnamanAGE:26PO:0OV:64
Leon DraisaitlAGE:28PO:0OV:90
Patrick KaneAGE:35PO:0OV:83
Timo MeierAGE:27PO:0OV:80
Bryan RustAGE:31PO:0OV:78
Ryan StromeAGE:30PO:0OV:78
Ivan BarbashevAGE:28PO:0OV:77
Cam AtkinsonAGE:34PO:0OV:77
Marcus FolignoAGE:32PO:0OV:77
Marcus JohanssonAGE:33PO:0OV:75
Dustin BrownAGE:39PO:0OV:73
Loui ErikssonAGE:38PO:0OV:70
Josh LeivoAGE:30PO:0OV:69

Défense #1Défense #2Gardien
Moritz SeiderAGE:23PO:0OV:82
Miro HeiskanenAGE:24PO:0OV:82
Ryan PulockAGE:29PO:0OV:77
Nick LeddyAGE:33PO:0OV:76
Anton StralmanAGE:37PO:0OV:75
Alexandre CarrierAGE:27PO:0OV:74
Tucker PoolmanAGE:30PO:0OV:69
Dean KukanAGE:30PO:0OV:68
Andrej SustrAGE:33PO:0OV:67
Markus NutivaaraAGE:29PO:0OV:67
Juuse SarosAGE:29PO:0OV:90
Jonathan QuickAGE:38PO:0OV:81
Jonathan BernierAGE:35PO:0OV:71
Mads Sogaard (R)AGE:23PO:0OV:71
Curtis McElhinneyAGE:40PO:0OV:63

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
Blake MclaughlinBlues00
Callum BoothBlues00
Carter SavoieBlues00
Cody ClarkBlues00
Connor McClennonBlues00
Domenick FensoreBlues00
Dominik BokkBlues00
Dominik MasinBlues00
Jack RathboneBlues00
James HardieBlues00
Jesper EliassonBlues00
Luca Del Bel BelluzBlues00
Lukas DragicevicBlues00
Martin ChromiakBlues00
Maxim CajkovicBlues00
Milos RomanBlues00
Owen PickeringBlues002024-03-21
Tyler KlevenBlues00
Woulter PeetersBlues00

Choix au repêchage

Année R1R2R3R4R5R6R7
2024
2025
2026
2027
2028
Choix au repêchage conditionnel



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


Blues Historique de transactions

[2024-04-25 12:43:28] - Blues was eliminated at round 1 of year 2023.
[2024-04-16 12:36:20] - New Record for Team's Most Penalties Minutes (35) in 1 Game for Blues!
[2024-03-22 13:13:41] - TRADE : From Knights to Blues : Y:2024-RND:5-DET.
[2024-03-22 13:13:41] - TRADE : From Blues to Knights : Corey Perry (75).
[2024-03-21 20:10:33] - TRADE : From Blues to Stars : Oliver Kylington (72), Dmitry Simashev (P).
[2024-03-21 20:10:33] - TRADE : From Stars to Blues : Bryan Rust (78), Owen Pickering (P).
[2024-03-14 12:29:08] - New Record for Team's Most Assists (14) in 1 Game for Blues!
[2024-02-19 12:35:41] - TRADE : From Kraken to Blues : Mikael Backlund (78).
[2024-02-19 12:35:41] - TRADE : From Blues to Kraken : Ryan Johansen (78), Y:2024-RND:4-PIT.
[2024-02-16 13:08:31] - TRADE : From Bruins to Blues : Ivan Barbashev (77), Dmitry Simashev (P), Luca Del Bel Belluz (P).
[2024-02-16 13:08:31] - TRADE : From Blues to Bruins : Elias Lindholm (82), Y:2024-RND:7-BUF.



[2024-05-01 12:02:54] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-30 12:43:28] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-29 12:39:53] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-28 11:53:37] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-26 14:10:00] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-25 12:43:28] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-24 12:14:34] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-23 12:27:44] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-22 20:29:14] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-21 20:21:41] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-21 20:21:25] Successfully loaded Blues lines done with Web Base Client.
[2024-04-18 20:09:02] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-17 12:38:05] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-16 12:36:21] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-16 12:36:20] New Record for Team's Most Penalties Minutes (35) in 1 Game for Blues!
[2024-04-13 12:00:32] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-13 12:00:14] Successfully loaded Blues lines done with Web Base Client.
[2024-04-10 17:52:46] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-08 20:57:13] Last 30 Days Farm Star : 1 - Jasper Weatherby of Panthers (16-9-25) / 2 - Vladislav Namestnikov of Lightning (11-17-28) / 3 - Steven Lorentz of Blues (10-18-28)
[2024-04-06 18:30:04] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-05 12:54:12] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-04 20:47:54] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-04 14:48:36] Blues lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-04 14:48:15] Successfully loaded Blues lines done with Web Base Client.
[2024-04-03 20:01:25] Blues lines for next game are empty. Current rosters/lines are not erased.
[2024-04-02 13:03:27] Both Blues and Blues lines for next game are empty. Current rosters/lines are not erased.



Pas de blessure ou de suspension.


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