Blues
GP: 27 | W: 15 | L: 9 | OTL: 3 | P: 33
GF: 87 | GA: 83 | PP%: 19.80% | PK%: 73.68%
DG: Mathieu Guimond | Morale : 75 | Moyenne d’équipe : 70
Prochain matchs #436 vs Red Wings
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Centre de jeu
Blues
15-9-3, 33pts
6
FINAL
5 Blue Jackets
10-15-5, 25pts
Team Stats
OTL1StreakL1
9-2-0Home Record5-9-3
6-7-3Away Record5-6-2
6-3-1Last 10 Games4-3-3
3.22Goals Per Game2.50
3.07Goals Against Per Game3.37
19.80%Power Play Percentage14.61%
73.68%Penalty Kill Percentage85.00%
Blues
15-9-3, 33pts
3
FINAL
4 Blackhawks
17-8-2, 36pts
Team Stats
OTL1StreakW2
9-2-0Home Record9-3-1
6-7-3Away Record8-5-1
6-3-1Last 10 Games5-4-1
3.22Goals Per Game3.11
3.07Goals Against Per Game2.48
19.80%Power Play Percentage20.83%
73.68%Penalty Kill Percentage87.18%
Red Wings
17-7-2, 36pts
2023-12-12
Blues
15-9-3, 33pts
Statistiques d’équipe
W2SéquenceOTL1
11-3-1Fiche domicile9-2-0
6-4-1Fiche visiteur6-7-3
5-4-110 derniers matchs6-3-1
3.08Buts par match 3.22
2.77Buts contre par match 3.07
17.57%Pourcentage en avantage numérique19.80%
89.42%Pourcentage en désavantage numérique73.68%
Senators
10-11-1, 21pts
2023-12-14
Blues
15-9-3, 33pts
Statistiques d’équipe
L5SéquenceOTL1
8-7-1Fiche domicile9-2-0
2-4-0Fiche visiteur6-7-3
3-7-010 derniers matchs6-3-1
2.36Buts par match 3.22
2.68Buts contre par match 3.07
16.39%Pourcentage en avantage numérique19.80%
83.33%Pourcentage en désavantage numérique73.68%
Stars
12-12-2, 26pts
2023-12-16
Blues
15-9-3, 33pts
Statistiques d’équipe
W1SéquenceOTL1
6-4-2Fiche domicile9-2-0
6-8-0Fiche visiteur6-7-3
3-6-110 derniers matchs6-3-1
2.54Buts par match 3.22
2.81Buts contre par match 3.07
14.47%Pourcentage en avantage numérique19.80%
76.92%Pourcentage en désavantage numérique73.68%
Meneurs d'équipe
Brad MarchandButs
Brad Marchand
12
Ivan ProvorovPasses
Ivan Provorov
20
Ivan ProvorovPoints
Ivan Provorov
28
Ivan ProvorovPlus/Moins
Ivan Provorov
12
Connor HellebuyckVictoires
Connor Hellebuyck
15
Connor HellebuyckPourcentage d’arrêts
Connor Hellebuyck
0.9

Statistiques d’équipe
Buts pour
87
3.22 GFG
Tirs pour
852
31.56 Avg
Pourcentage en avantage numérique
19.8%
20 GF
Début de zone offensive
41.0%
Buts contre
83
3.07 GAA
Tirs contre
803
29.74 Avg
Pourcentage en désavantage numérique
73.7%
15 GA
Début de la zone défensive
40.8%
Information d’équipe

Directeur généralMathieu Guimond
EntraîneurBarry Trotz
DivisionDivision Centrale
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomScottrade Center
Capacité18,000
Assistance12,872
Billets de saison1,800


Information formation

Équipe Pro20
Équipe Mineure26
Limite contact 46 / 80
Espoirs52


Plafond salarial

Cap Salarial de la Saison estimé81,768,952$
Plafond salarial disponible1,731,048$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour25,661,774$
Dépenses annuelles à ce jour27,396,117$
Revenus de la saison estimés69,986,656$
Dépenses de la saison estimées57,702,060$
Compte bancaire actuel6,981,552$
Compte bancaire projeté19,990,281$


Historique d'équipe

Saison actuelle15-9-3 (33PTS)
Historique103-70-16 (0.545%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)9-4
Stanley Cup0


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
1Chris Kreider0XX99.007638908489879076777189788380790757603147,105,000$
2Brad Marchand0X99.006776688165898784558579718086800757403447,950,000$
3Jack Eichel0X99.006536958582897984768081668270690757402628,980,000$
4Taylor Hall0XX100.005936838579898777587873658082760757203135,810,000$
5Travis Konecny0XX100.006439698365898680557978717669700757202515,133,000$
6Carter Verhaeghe0XXX100.005735817976879077737682658069710757102764,250,000$
7Jaden Schwartz0XX100.006333907767888075767374637278720757003015,005,000$
8Evan Rodrigues0XXX100.006234917569878974787372617072740756902954,500,000$
9William Carrier0X100.008737836984808268596470616671730756802821,000,000$
10Ross Colton0XXX100.008341857173819070836772617067710756802621,500,000$
11Michael Amadio0XX100.00623993717880836975627059676869075660261925,000$
12Patrick Brown0XX100.00884583617977795886615977627173075650301999,000$
13Seth Jones0X100.007138887689958875308269795777700757202836,200,000$
14Shea Theodore0X100.005536908180938577308473645971720757202743,791,500$
15Ivan Provorov0X99.006636897678949074307566855670670757102524,300,000$
16Nick Holden0X100.007138956488898763307359865081770756903511,800,000$
17Timothy Liljegren0X100.007236897376868468307264735464660756802311,248,000$
18Jacob Bryson0X100.00603395686587856530695368506668075640253999,999$
Rayé
Équipe Mineure
1Logan Shaw0X100.00764087668592866580676264637176075660301999,000$
2Pavol Regenda0X100.00744370618983716058615963596466075620233999,999$
3Luke Toporowski0X100.00603978626985686162596357626462075610213999,999$
4Cedric Pare (R)0X100.00753991588475765766585759566466075610232950,000$
5Clark Bishop (R)0X100.00684073607774805872595557616769075610261900,000$
6Josiah Slavin (R)0X100.00693890598177845756555462556567075610242950,000$
7Filip Cederqvist0X100.00744082568377695460565758566365075600223999,999$
8Nolan Yaremko0X100.00694368587877615762585760566567075600241925,000$
9Shane Gersich (R)63X100.00613880587081835660585754586769075600261925,000$
10Jayce Hawryluk (R)0X100.00634267587267635761585956556769075590273950,000$
11Devante Stephens (R)0X100.00714370558063805630545357456668075590251925,000$
12Tory Dello (R)0X100.00633978567267795530575456466668075590251925,000$
13Dean Stewart0X100.00653888577469745630605255466567075590241925,000$
14Xavier Bouchard0X100.00754274528465635130535057456365075570221925,000$
15Alex Limoges (R)0X100.00693895657885836467656362646668075650251925,000$
16Brett Seney0XX100.00683770656190846667636461656867075630261900,000$
17Nikita Pavlychev0X100.00864279549573645357545561546668075600251925,000$
18Matthew Wedman0X100.00764275548571805354555557536466075590231925,000$
19Timur Ibragimov0X100.00653695567468665458565755566365075590221925,000$
20Turner Ottenbreit (R)0X100.00734371558266835330555457466668075590251925,000$
21Wyatt Newpower (R)0X100.00734370568265815430535255456668075590251925,000$
22Colin Swoyer0X100.00643888557363675430565153466567075580241925,000$
23Montana Onyebuchi0X97.81754950548464755330555357466365075580221925,000$
MOYENNE D’ÉQUIPE99.7868398776778786735774717067737207570
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
1Connor Hellebuyck98.00969590929594969594969580840757802939,600,000$
2Michael Houser100.0074616274737274737274737185075650301925,000$
Rayé
Équipe Mineure
1Calvin Pickard100.0075656779747375747375747285075660301950,000$
2Jake Kupsky100.0064565782636264636264636881075600271925,000$
3Logan Flodell100.0057565771565557565557566675075550251925,000$
MOYENNE D’ÉQUIPE99.008578768384838584838584768507572
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz80877680918455CAN6113,200,000$


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
1Ivan ProvorovBluesD278202812260575247202317.02%4461522.803252780000043110.00%000100.9100000123
2Brad MarchandBluesLW26121325-240474292336313.04%850019.233361991000092028.57%3500001.0000000320
3Jack EichelBluesC2781523-160126210127727.92%354920.352461196000271047.26%73000000.8401000102
4Chris KreiderBluesLW/RW2711122321004845109327910.09%754920.3325731960000112035.37%8200010.8411000230
5Taylor HallBluesLW/RW2791120-400145174255712.16%352119.3035822830001501044.44%4500000.7700000302
6Travis KonecnyBluesLW/RW271010203155634179195012.66%451118.962241484000031030.30%3300010.7801001111
7Carter VerhaegheBluesC/LW/RW2710818020234064224115.63%649118.212461483000003045.41%20700110.7300000110
8Shea TheodoreBluesD2721416410029223211256.25%2860422.401671691000019200.00%000000.5300000110
9Jaden SchwartzBluesC/LW273131612021345916275.08%448217.880118630000200045.83%50400000.6611000100
10Timothy LiljegrenBluesD2731215-9604819338299.09%3455120.431451793000034000.00%000000.5400000003
11Evan RodriguesBluesC/LW/RW27459-520153738143710.53%238514.27000020000130050.00%4400000.4700000000
12Seth JonesBluesD20189-460302314397.14%1938619.33011516000030100.00%000000.4700000010
13Nick HoldenBluesD27099-91753325188130.00%3652419.43000216000146000.00%000000.3400001000
14Jacob BrysonBluesD2623511002018112618.18%2939715.3110121000014000.00%000000.2500000100
15William CarrierBluesLW27123020165134187.69%31686.2400010000070033.33%600000.3600000000
16Ross ColtonBluesC/LW/RW27033-31555643348180.00%338014.09000210000180047.90%40500000.1600100000
17Patrick BrownBluesC/RW2621314015141401014.29%31756.75000000000470047.62%21000000.3400000000
18Michael AmadioBluesC/RW27011100210148120.00%11375.0900000000000040.00%2000000.1500000000
19Alex LimogesThunderbirds (STL)C2000000011110.00%073.690000000001000.00%000000.0000000000
20Logan ShawThunderbirds (STL)RW3000000025020.00%0155.28000000000000100.00%100000.0000000000
21Turner OttenbreitThunderbirds (STL)D50003601010020.00%37314.740000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne48686160246-91431555958785226159410.09%240803016.52203757191901000438014145.91%232200230.6124102151111
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
1Connor HellebuyckBlues2615830.9002.91150741737290000.7504261111
2Michael HouserBlues30100.8654.801250010740000.0000126000
Statistiques d’équipe totales ou en moyenne2915930.8973.05163341838030000.75042727111


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Brad Marchand (contrat à 1 volet)BluesLW345/11/1988No176 Lbs5 ft9NoNoYes4Pro & Farm7,950,000$5,382,812$7,600,000$5,145,833$7,950,000$5,382,812$No7,950,000$7,950,000$7,950,000$Lien / Lien NHL
Carter Verhaeghe (contrat à 1 volet)BluesC/LW/RW278/14/1995No180 Lbs6 ft2NoNoYes6Pro & Farm4,250,000$2,877,604$4,250,000$2,877,604$4,250,000$2,877,604$No7,400,000$7,400,000$7,400,000$7,400,000$7,400,000$Lien / Lien NHL
Chris Kreider (contrat à 1 volet)BluesLW/RW314/30/1991No230 Lbs6 ft3NoNoYes4Pro & Farm7,105,000$4,810,677$8,000,000$5,416,667$7,105,000$4,810,677$No7,105,000$7,105,000$7,105,000$Lien / Lien NHL
Connor Hellebuyck (contrat à 1 volet)BluesG295/19/1993No216 Lbs6 ft4NoNoYes3Pro & Farm9,600,000$6,500,000$9,600,000$6,500,000$9,600,000$6,500,000$No9,600,000$9,600,000$Lien / Lien NHL
Evan Rodrigues (contrat à 1 volet)BluesC/LW/RW297/28/1993No184 Lbs5 ft11NoNoYes5Pro & Farm4,500,000$3,046,875$4,500,000$3,046,875$4,500,000$3,046,875$No4,500,000$4,500,000$4,500,000$4,500,000$Lien / Lien NHL
Ivan Provorov (contrat à 1 volet)BluesD251/13/1997No201 Lbs6 ft1NoNoYes2Pro & Farm4,300,000$2,911,458$4,300,000$2,911,458$4,300,000$2,911,458$No4,300,000$Lien / Lien NHL
Jack Eichel (contrat à 1 volet)BluesC2610/28/1996No207 Lbs6 ft2NoNoYes2Pro & Farm8,980,000$6,080,208$8,980,000$6,080,208$8,980,000$6,080,208$No8,980,000$Lien / Lien NHL
Jacob BrysonBluesD2511/18/1997No176 Lbs5 ft9NoNoNo3Pro & Farm999,999$677,083$999,999$677,083$999,999$677,083$No999,999$999,999$Lien / Lien NHL
Jaden Schwartz (contrat à 1 volet)BluesC/LW306/25/1992No185 Lbs5 ft10NoNoYes1Pro & Farm5,005,000$3,388,802$5,005,000$3,388,802$5,005,000$3,388,802$NoLien / Lien NHL
Michael AmadioBluesC/RW265/13/1996No204 Lbs6 ft1NoNoNo1Pro & Farm925,000$626,302$925,000$626,302$925,000$626,302$NoLien / Lien NHL
Michael HouserBluesG309/13/1992No185 Lbs6 ft1NoNoNo1Pro & Farm925,000$626,302$925,000$626,302$925,000$626,302$NoLien / Lien NHL
Nick Holden (contrat à 1 volet)BluesD355/15/1987No210 Lbs6 ft4NoNoYes1Pro & Farm1,800,000$1,218,750$1,800,000$1,218,750$1,800,000$1,218,750$NoLien / Lien NHL
Patrick BrownBluesC/RW305/29/1992No210 Lbs6 ft1NoNoYes1Pro & Farm999,000$676,406$999,000$676,406$999,000$676,406$NoLien / Lien NHL
Ross Colton (contrat à 1 volet)BluesC/LW/RW269/11/1996No194 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$1,015,625$1,500,000$1,015,625$1,500,000$1,015,625$No1,500,000$Lien / Lien NHL
Seth Jones (contrat à 1 volet)BluesD2810/3/1994No213 Lbs6 ft4NoNoYes3Pro & Farm6,200,000$4,197,917$6,200,000$4,197,917$6,200,000$4,197,917$No6,200,000$6,200,000$Lien / Lien NHL
Shea Theodore (contrat à 1 volet)BluesD278/3/1995No197 Lbs6 ft2NoNoYes4Pro & Farm3,791,500$2,567,161$3,791,500$2,567,161$3,791,500$2,567,161$No3,791,500$3,791,500$3,791,500$Lien / Lien NHL
Taylor Hall (contrat à 1 volet)BluesLW/RW3111/14/1991No210 Lbs6 ft1NoNoYes3Pro & Farm5,810,000$3,933,854$6,810,000$4,610,938$5,810,000$3,933,854$No5,810,000$5,810,000$Lien / Lien NHL
Timothy Liljegren (contrat à 1 volet)BluesD234/30/1999No192 Lbs6 ft1NoNoYes1Pro & Farm1,248,000$845,000$1,248,000$845,000$1,248,000$845,000$NoLien / Lien NHL
Travis Konecny (contrat à 1 volet)BluesLW/RW253/11/1997No175 Lbs5 ft10NoNoYes1Pro & Farm5,133,000$3,475,469$5,133,000$3,475,469$5,133,000$3,475,469$NoLien / Lien NHL
William Carrier (contrat à 1 volet)BluesLW2812/20/1994No218 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$677,083$1,000,000$677,083$1,000,000$677,083$No1,000,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.25198 Lbs6 ft12.504,101,075$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
82,021,499$69,136,499$53,356,499$30,746,500$11,900,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Marchand
Eichel
Kreider
33023
2
Verhaeghe
Schwartz
Konecny
32032
3
Rodrigues
Colton
Hall
29131
4
Carrier
Brown
Amadio
6230
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Theodore
Provorov
35122
2
Holden
Jones
34122
3
Liljegren
Bryson
27230
4
Liljegren
Bryson
4122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Marchand
Eichel
Kreider
60014
2
Konecny
Verhaeghe
Hall
40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Theodore
Liljegren
60014
2
Schwartz
Provorov
40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1
Brown
Hall
60140
2
Schwartz
Colton
40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Holden
Provorov
60140
2
Jones
Liljegren
40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1
Brown
60140
Bryson
Holden
60140
2
Schwartz
40140
Provorov
Jones
40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1
Eichel
Kreider
60122
2
Schwartz
Hall
40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Jones
Provorov
60122
2
Theodore
Holden
40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marchand
Eichel
Kreider
Provorov
Theodore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kreider
Brown
Marchand
Jones
Provorov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Eichel
Konecny
Verhaeghe
Schwartz
Colton
Rodrigues
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Holden
Jones
Provorov
Holden
Provorov
Holden
Tirs de pénalité
Eichel
Kreider
Konecny
Schwartz
Hall
Gardien
#1 :
Hellebuyck
#2 :
Houser
Lignes d’attaque personnalisées en prolongation
Eichel
Marchand
Hall
Kreider
Verhaeghe
Carrier
Colton
Schwartz
Konecny
Brown
Lignes de défense personnalisées en prolongation
Provorov
Theodore
Liljegren
Jones
Holden


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
1Avalanche20200000712-50000000000020200000712-500.00071320003130753118260621917384125.00%6266.67%044994247.66%41493844.14%20341748.68%493546122312
2Blackhawks20001100770000000000002000110077030.7507121900321162211919352176508225.00%2150.00%044994247.66%41493844.14%20341748.68%493248142713
3Blue Jackets10001000651000000000001000100065121.0006101600221125810613586196116.67%3166.67%044994247.66%41493844.14%20341748.68%2416227147
4Canadiens1010000013-21010000013-20000000000000.00012300001027512100347011200.00%000.00%044994247.66%41493844.14%20341748.68%2417227127
5Canucks1010000036-3000000000001010000036-300.00036900210026912503812823100.00%4250.00%044994247.66%41493844.14%20341748.68%2013277126
6Coyotes422000001516-122000000114720200000412-840.500152742008430137524243011940228314642.86%9366.67%044994247.66%41493844.14%20341748.68%1007390294824
7Devils11000000413110000004130000000000021.000481200211034131110028712195120.00%40100.00%044994247.66%41493844.14%20341748.68%2719206116
8Ducks11000000431000000000001100000043121.00046100022002713770327423400.00%2150.00%044994247.66%41493844.14%20341748.68%2316237126
9Flames1000010012-1000000000001000010012-110.50011200010033111372339828200.00%40100.00%044994247.66%41493844.14%20341748.68%2518257125
10Golden Knights21100000550110000002111010000034-120.5005101500221074142535057126457114.29%20100.00%044994247.66%41493844.14%20341748.68%513743132412
11Jets21000100660110000003211000010034-130.75061218004110502019110641312368112.50%6266.67%044994247.66%41493844.14%20341748.68%463248152512
12Kings11000000431000000000001100000043121.00048120011202611411019136182150.00%3166.67%044994247.66%41493844.14%20341748.68%2215256126
13Kraken1010000013-21010000013-20000000000000.000123001000291361003111827300.00%30100.00%044994247.66%41493844.14%20341748.68%2214246126
14Lightning10000010321100000103210000000000021.0003470001123310101071372234125.00%110.00%044994247.66%41493844.14%20341748.68%2921217147
15Penguins11000000422110000004220000000000021.00048120021103714131003610921400.00%20100.00%044994247.66%41493844.14%20341748.68%2416247116
16Predators11000000514110000005140000000000021.000510150012203710131402276207228.57%30100.00%044994247.66%41493844.14%20341748.68%2517217126
17Sabres11000000211110000002110000000000021.000246001100339195042120198112.50%000.00%044994247.66%41493844.14%20341748.68%2216266105
18Sharks11000000422000000000001100000042221.0004812002110291388029100254125.00%000.00%044994247.66%41493844.14%20341748.68%2417226126
19Stars1010000013-2000000000001010000013-200.0001230001003310149039101316500.00%3166.67%044994247.66%41493844.14%20341748.68%2215247126
20Wild11000000404000000000001100000040421.000471101310025117701892153133.33%000.00%044994247.66%41493844.14%20341748.68%2115257126
Total2712902310878341182000103620161647023005163-12330.61187160247013926194852298282263138032401475591012019.80%571573.68%044994247.66%41493844.14%20341748.68%658465637193338173
_Since Last GM Reset2712902310878341182000103620161647023005163-12330.61187160247013926194852298282263138032401475591012019.80%571573.68%044994247.66%41493844.14%20341748.68%658465637193338173
_Vs Conference2198013006769-2651000002211111547013004558-13230.548671241910132201416632392072125615189118447721622.22%471372.34%044994247.66%41493844.14%20341748.68%505356499150263132
_Vs Division135501200454504400000019712915012002638-12140.5384583128012212101419155132129337611578258491326.53%29968.97%044994247.66%41493844.14%20341748.68%3152223069416382

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2733OTL18716024785280324014755901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2712923108783
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
118200103620
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
164723005163
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1012019.80%571573.68%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
298282263133926194
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
44994247.66%41493844.14%20341748.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
658465637193338173


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
3 - 2023-10-1213Blues1Stars3ALSommaire du match
5 - 2023-10-1428Kraken3Blues1BLSommaire du match
10 - 2023-10-1957Coyotes1Blues3BWSommaire du match
12 - 2023-10-2175Penguins2Blues4BWSommaire du match
15 - 2023-10-2493Blues3Jets4ALXSommaire du match
17 - 2023-10-26109Blues1Flames2ALXSommaire du match
18 - 2023-10-27116Blues3Canucks6ALSommaire du match
23 - 2023-11-01143Blues4Avalanche5ALSommaire du match
25 - 2023-11-03158Devils1Blues4BWSommaire du match
26 - 2023-11-04161Canadiens3Blues1BLSommaire du match
29 - 2023-11-07184Jets2Blues3BWSommaire du match
31 - 2023-11-09199Coyotes3Blues8BWSommaire du match
33 - 2023-11-11219Blues3Avalanche7ALSommaire du match
36 - 2023-11-14235Lightning2Blues3BWXXSommaire du match
38 - 2023-11-16250Blues4Sharks2AWSommaire du match
40 - 2023-11-18266Blues4Kings3AWSommaire du match
41 - 2023-11-19271Blues4Ducks3AWSommaire du match
44 - 2023-11-22287Blues1Coyotes6ALSommaire du match
46 - 2023-11-24296Predators1Blues5BWSommaire du match
48 - 2023-11-26317Blues4Blackhawks3AWXSommaire du match
50 - 2023-11-28330Blues4Wild0AWSommaire du match
52 - 2023-11-30348Sabres1Blues2BWSommaire du match
54 - 2023-12-02365Blues3Coyotes6ALSommaire du match
56 - 2023-12-04379Blues3Golden Knights4ALSommaire du match
58 - 2023-12-06390Golden Knights1Blues2BWSommaire du match
60 - 2023-12-08405Blues6Blue Jackets5AWXSommaire du match
61 - 2023-12-09416Blues3Blackhawks4ALXSommaire du match
64 - 2023-12-12436Red Wings-Blues-
66 - 2023-12-14451Senators-Blues-
68 - 2023-12-16469Stars-Blues-
71 - 2023-12-19488Blues-Lightning-
73 - 2023-12-21500Blues-Panthers-
75 - 2023-12-23524Blackhawks-Blues-
79 - 2023-12-27536Stars-Blues-
81 - 2023-12-29552Avalanche-Blues-
82 - 2023-12-30559Blues-Penguins-
87 - 2024-01-04596Canucks-Blues-
89 - 2024-01-06609Blues-Hurricanes-
92 - 2024-01-09630Panthers-Blues-
94 - 2024-01-11647Rangers-Blues-
96 - 2024-01-13667Bruins-Blues-
98 - 2024-01-15679Flyers-Blues-
101 - 2024-01-18696Blues-Capitals-
103 - 2024-01-20713Capitals-Blues-
106 - 2024-01-23735Blues-Flames-
107 - 2024-01-24744Blues-Canucks-
109 - 2024-01-26758Blues-Kraken-
111 - 2024-01-28773Kings-Blues-
113 - 2024-01-30776Blue Jackets-Blues-
124 - 2024-02-10804Blues-Sabres-
125 - 2024-02-11817Blues-Canadiens-
127 - 2024-02-13827Blues-Maple Leafs-
129 - 2024-02-15844Oilers-Blues-
131 - 2024-02-17854Predators-Blues-
133 - 2024-02-19867Maple Leafs-Blues-
136 - 2024-02-22895Islanders-Blues-
138 - 2024-02-24910Blues-Red Wings-
141 - 2024-02-27934Blues-Jets-
142 - 2024-02-28940Blues-Oilers-
145 - 2024-03-02967Wild-Blues-
147 - 2024-03-04977Blues-Flyers-
148 - 2024-03-05984Blues-Islanders-
150 - 2024-03-07997Blues-Devils-
152 - 2024-03-091018Blues-Rangers-
154 - 2024-03-111027Blues-Bruins-
156 - 2024-03-131041Kings-Blues-
159 - 2024-03-161069Wild-Blues-
160 - 2024-03-171079Ducks-Blues-
162 - 2024-03-191089Avalanche-Blues-
164 - 2024-03-211103Blues-Senators-
166 - 2024-03-231115Blues-Wild-
168 - 2024-03-251134Golden Knights-Blues-
171 - 2024-03-281157Flames-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301177Sharks-Blues-
175 - 2024-04-011186Oilers-Blues-
178 - 2024-04-041208Blues-Predators-
180 - 2024-04-061221Blues-Sharks-
181 - 2024-04-071235Blues-Ducks-
184 - 2024-04-101252Blackhawks-Blues-
186 - 2024-04-121265Hurricanes-Blues-
188 - 2024-04-141283Kraken-Blues-
191 - 2024-04-171305Blues-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité57504750375027501000
Prix des billets1401209065300
Assistance50,18535,13228,11519,2498,915
Attendance PCT79.34%67.24%68.16%63.63%81.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 12872 - 71.51% 2,332,889$25,661,774$1800085

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
27,396,117$ 82,021,499$ 83,566,499$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
427,195$ 26,233,602$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
69,986,656$ 130 443,862$ 57,702,060$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
59,828,080$ 6,981,552$ 19,990,281$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
81,768,952$ 1,731,048$ 83,500,000$ 19,768,952$

Retained Salary
Player2023-20242024-20252025-20262026-20272027-2028
Total0$0$0$0$0$

Retained Buyout
Player2023-20242024-20252025-20262026-20272027-2028
Total0$0$0$0$0$



Charte de profondeur

Ailier gaucheCentreAilier droit
Chris KreiderAGE:31PO:0OV:76
Brad MarchandAGE:34PO:0OV:74
Taylor HallAGE:31PO:0OV:72
Travis KonecnyAGE:25PO:0OV:72
Carter VerhaegheAGE:27PO:0OV:71
Jaden SchwartzAGE:30PO:0OV:70
Evan RodriguesAGE:29PO:0OV:69
William CarrierAGE:28PO:0OV:68
Ross ColtonAGE:26PO:0OV:68
Brett SeneyAGE:26PO:0OV:63
Pavol RegendaAGE:23PO:0OV:62
Luke ToporowskiAGE:21PO:0OV:61
Josiah Slavin (R)AGE:24PO:0OV:61
Filip CederqvistAGE:22PO:0OV:60
Nolan YaremkoAGE:24PO:0OV:60
Shane Gersich (R)AGE:26PO:0OV:60
Matthew WedmanAGE:23PO:0OV:59
Timur IbragimovAGE:22PO:0OV:59
Jack EichelAGE:26PO:0OV:74
Carter VerhaegheAGE:27PO:0OV:71
Jaden SchwartzAGE:30PO:0OV:70
Evan RodriguesAGE:29PO:0OV:69
Ross ColtonAGE:26PO:0OV:68
Michael AmadioAGE:26PO:0OV:66
Alex Limoges (R)AGE:25PO:0OV:65
Patrick BrownAGE:30PO:0OV:65
Brett SeneyAGE:26PO:0OV:63
Cedric Pare (R)AGE:23PO:0OV:61
Clark Bishop (R)AGE:26PO:0OV:61
Nikita PavlychevAGE:25PO:0OV:60
Chris KreiderAGE:31PO:0OV:76
Taylor HallAGE:31PO:0OV:72
Travis KonecnyAGE:25PO:0OV:72
Carter VerhaegheAGE:27PO:0OV:71
Evan RodriguesAGE:29PO:0OV:69
Ross ColtonAGE:26PO:0OV:68
Logan ShawAGE:30PO:0OV:66
Michael AmadioAGE:26PO:0OV:66
Patrick BrownAGE:30PO:0OV:65
Jayce Hawryluk (R)AGE:27PO:0OV:59

Défense #1Défense #2Gardien
Seth JonesAGE:28PO:0OV:72
Shea TheodoreAGE:27PO:0OV:72
Ivan ProvorovAGE:25PO:0OV:71
Nick HoldenAGE:35PO:0OV:69
Timothy LiljegrenAGE:23PO:0OV:68
Jacob BrysonAGE:25PO:0OV:64
Devante Stephens (R)AGE:25PO:0OV:59
Turner Ottenbreit (R)AGE:25PO:0OV:59
Tory Dello (R)AGE:25PO:0OV:59
Wyatt Newpower (R)AGE:25PO:0OV:59
Dean StewartAGE:24PO:0OV:59
Colin SwoyerAGE:24PO:0OV:58
Montana OnyebuchiAGE:22PO:0OV:58
Xavier BouchardAGE:22PO:0OV:57
Connor HellebuyckAGE:29PO:0OV:78
Calvin PickardAGE:30PO:0OV:66
Michael HouserAGE:30PO:0OV:65
Jake KupskyAGE:27PO:0OV:60
Logan FlodellAGE:25PO:0OV:55

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam ComrieBlues
Adam LiskaBlues21215
Alexander YelesinBlues21170Lien
Alexandre RangerBlues
Andrew ShortridgeBluesLien
Antoine VermetteBlues
Artyom ZagidulinBlues21151Lien
Blake HeinrichBlues
Brycen MartinBlues
Cody FransonBluesLien
Colby WilliamsBluesLien
Dani SkorikovBlues
Darren DietzBlues
David NoelBlues
Diego CugliettaBlues21244
Dmitrij JaskinBluesLien
Dominic TurgeonBluesLien
Emerson ClarkBluesLien
Emil LarmiBlues21108Lien
Eric RoyBlues
Eric WilliamsBluesLien
Fedor GordeevBlues
Gilles SennBlues21178Lien
Grant MismashBluesLien
Jake LeeBlues21209
Jake VirtanenBluesLien
Jiri HudlerBlues
Jocktan ChaineyBlues
Joe FaustBlues
John MitchellBlues
Jordan MalettaBlues
Josh HolmstromBlues
Mark AltBluesLien
Mark StreitBlues
Matthew SpencerBluesLien
Max NovakBlues
Mikko KoskinenBluesLien
Nick McbrideBlues
Nikolay GoldobinBluesLien
Noah DelmasBlues21226
Radek MusikBlues21216
Reid BoucherBluesLien
Ryan MurphyBluesLien
Sam JardineBluesLien
Scott HartnellBlues
Sebastian RepoBluesLien
Sergei BoikovBluesLien
Simon BourqueBlues
Steve MichalekBlues
Tony SundBlues21202
Vladimir SobotkaBluesLien
Vladislav KamenevBluesLien

Choix au repêchage

Année R1R2R3R4R5R6R7R8
2025
2026
2027
2028




La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[10/14/2023 9:26:30 AM] - TRADE : From Blues to Ducks : Andrei Markov (P).
[10/14/2023 9:26:30 AM] - TRADE : From Ducks to Blues : Calvin Pickard (66).
[10/13/2023 9:50:43 AM] - Jake Kupsky signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:50:43 AM] - Jake Kupsky was added to Blues.
[10/13/2023 9:50:32 AM] - Logan Flodell signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:50:32 AM] - Logan Flodell was added to Blues.
[10/13/2023 9:50:25 AM] - Turner Ottenbreit signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:50:25 AM] - Turner Ottenbreit was added to Blues.
[10/13/2023 9:50:17 AM] - Devante Stephens signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:50:17 AM] - Devante Stephens was added to Blues.
[10/13/2023 9:50:10 AM] - Tory Dello signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:50:10 AM] - Tory Dello was added to Blues.
[10/13/2023 9:50:02 AM] - Colin Swoyer signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:50:02 AM] - Colin Swoyer was added to Blues.
[10/13/2023 9:49:48 AM] - Dean Stewart signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:49:48 AM] - Dean Stewart was added to Blues.
[10/13/2023 9:49:33 AM] - Xavier Bouchard signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:49:33 AM] - Xavier Bouchard was added to Blues.
[10/13/2023 9:49:26 AM] - Montana Onyebuchi signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:49:26 AM] - Montana Onyebuchi was added to Blues.
[10/13/2023 9:49:19 AM] - Matthew Wedman signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:49:19 AM] - Matthew Wedman was added to Blues.
[10/13/2023 9:49:09 AM] - Timur Ibragimov signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:49:09 AM] - Timur Ibragimov was added to Blues.
[10/13/2023 9:49:01 AM] - Shane Gersich signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:49:01 AM] - Shane Gersich was added to Blues.
[10/13/2023 9:48:52 AM] - Nikita Pavlychev signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:48:52 AM] - Nikita Pavlychev was added to Blues.
[10/13/2023 9:48:41 AM] - Nolan Yaremko signed with Blues for $925,000 for 1 year(s).
[10/13/2023 9:48:41 AM] - Nolan Yaremko was added to Blues.
[9/17/2023 7:49:44 AM] - TRADE : From Devils to Blues : Carter Verhaeghe (71), Evan Rodrigues (69).
[9/17/2023 7:49:44 AM] - TRADE : From Blues to Devils : Jake Guentzel (74), Y:2025-RND:5-STL, Y:2025-RND:6-STL.
[9/15/2023 11:07:57 AM] - TRADE : From Blues to Avalanche : Max Pacioretty (73).
[9/15/2023 11:07:57 AM] - TRADE : From Avalanche to Blues : Ross Colton (68).
[9/15/2023 11:06:00 AM] - Max Pacioretty was added to Blues.
[6/28/2023 11:38:33 AM] - Jacob Bryson signed with Blues for $999,999 for 3 year(s) / Signing Bonus of $1,000,000.
[6/28/2023 11:38:33 AM] - Jacob Bryson was added to Blues.
[6/27/2023 9:06:42 AM] - TRADE : From Blackhawks to Blues : Seth Jones (72).
[6/27/2023 9:06:42 AM] - TRADE : From Blues to Blackhawks : Josh Morrissey (72).
[6/27/2023 9:05:56 AM] - TRADE : From Predators to Blues : William Carrier (68).
[6/27/2023 9:05:56 AM] - TRADE : From Blues to Predators : Nicklas Backstrom (70).
[6/20/2023 1:24:53 PM] - Eduards Tralmaks was released.
[6/20/2023 1:24:53 PM] - Robbie Russo was released.
[6/20/2023 1:24:53 PM] - Brogan Rafferty was released.
[6/20/2023 1:24:53 PM] - Brayden Burke was released.
[6/20/2023 1:24:53 PM] - Callahan Burke was released.
[6/20/2023 1:24:53 PM] - Jeff Kubiak was released.
[6/20/2023 1:24:53 PM] - Bobby McMann was released.
[6/20/2023 1:24:53 PM] - Kyle Rau was released.
[6/20/2023 11:40:46 AM] - TRADE : From Blues to Wild : Adam Klapka (62).
[6/20/2023 11:20:24 AM] - Pavol Regenda signed with Blues for $999,999 for 3 year(s) / Signing Bonus of $2,999,997.
[6/20/2023 11:20:24 AM] - Pavol Regenda was added to Blues.



[12/10/2023 8:12:17 AM] Montana Onyebuchi from Thunderbirds is back from Upper Body Injury.
[12/9/2023 8:05:15 AM] Both Blues and Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[12/9/2023 8:05:15 AM] Farm Game #416 - Pavol Regenda from Thunderbirds has scored a Hat Trick!
[12/8/2023 11:10:15 AM] Both Blues and Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[12/6/2023 11:03:46 AM] Both Blues and Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[12/6/2023 11:03:46 AM] Farm Game #390 - Logan Shaw from Thunderbirds has scored a Hat Trick!
[12/4/2023 11:43:14 AM] Both Blues and Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[12/2/2023 8:04:54 AM] Both Blues and Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[12/2/2023 8:04:53 AM] Game 365 - Montana Onyebuchi from Thunderbirds is injured (Upper Body) and is out for 1 week.
[11/30/2023 11:05:09 AM] Both Blues and Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[11/28/2023 11:18:29 AM] Thunderbirds 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.
[11/26/2023 8:43:22 AM] Josiah Slavin from Thunderbirds is back from Sprained Left Finger Injury.
[11/26/2023 8:43:22 AM] Alex Limoges from Thunderbirds is back from Sprained Left Knee Injury.
[11/26/2023 8:43:22 AM] Thunderbirds 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.
[11/26/2023 8:43:21 AM] Game 317 - Josiah Slavin from Thunderbirds is injured (Sprained Left Finger) and is out for the game.
[11/24/2023 11:23:31 AM] Thunderbirds 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.
[11/24/2023 11:23:28 AM] Game 296 - Alex Limoges from Thunderbirds is injured (Sprained Left Knee) and is out for 4 days.
[11/22/2023 12:25:28 PM] Thunderbirds 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.
[11/19/2023 8:43:26 AM] Thunderbirds 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.
[11/18/2023 8:50:52 AM] Thunderbirds 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.
[11/16/2023 11:11:43 AM] Thunderbirds 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.



Pas de blessure ou de suspension.


Blues Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Brad Marchand188911182091315851735974612.20%42385020.48143953134000917242.33%31.0907
2Ivan Provorov189421211633216938430135411.86%272439223.241832501750223440.00%00.7400
3Max Pacioretty1645461115327723517444612.11%12300918.351214268300016344.84%00.76410
4Jack Eichel103397411326314924438110.24%11209120.311117285700035349.45%01.0814
5Nicklas Backstrom16034721061214713323599.47%14262116.39523285600009152.26%00.8101

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
1Connor Hellebuyck995530120.9062.8657788327529230300.66718
2Andrei Vasilevskiy66362340.9012.7937874317617740300.8899
3Devan Dubnyk2391000.9042.73116400535540011.0003
4Mikko Koskinen143620.8983.1468920363540010.6005
5Michael Houser30100.8654.801250010740000.0000

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
Saison régulière
238237330533126323132411914023211311042741181903010132127594263480743139195698249879780586740232965863417793096320.39%2595180.31%01499289751.74%1442280851.35%684129652.78%2037143018756031048531
20228239280361527024426412311032021351122341161700413135132397270493763129297776242080076482453254974668118262616022.99%2814982.56%31410281050.18%1521299750.75%604125748.05%1939134019916071037511
20232712902310878341182000103620161647023005163-123387160247013926194852298282263138032401475591012019.80%571573.68%044994247.66%41493844.14%20341748.68%658465637193338173
Total Saison régulière1918870010125662055862935027055333022366698384305723318322-42246201133175326222218165185770189518511954106568116441462416467114321.31%59711580.74%33358664950.50%3377674350.08%1491297050.20%463532364505140424241215
Séries éliminatoires
20221394000003338-5642000001217-57520000021210183356890110912238712011115334301318729148714.58%40685.00%025948153.85%22847647.90%10820951.67%3112143119416785
Total Séries éliminatoires1394000003338-5642000001217-57520000021210183356890110912238712011115334301318729148714.58%40685.00%025948153.85%22847647.90%10820951.67%3112143119416785

Blues Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jack Eichel134711205303710.81%224819.13033700002153.33%00.8800
2Brad Marchand13651111520184912.24%125119.37303700010145.00%00.8700
3Chris Kreider1364102622205211.54%326820.68112800010157.14%00.7400
4Josh Morrissey13268183971811.11%1427020.81224140000100.00%00.5900
5Ivan Provorov13257-3124218825.00%2426620.4900000000100.00%00.5300

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
1Mikko Koskinen84100.9372.0637801132060000.0000
2Connor Hellebuyck84300.8863.8738800252200000.0000
3Michael Houser11001.0000.002300040000.0000