Connexion

Blues
GP: 68 | W: 37 | L: 24 | OTL: 7 | P: 81
GF: 213 | GA: 205 | PP%: 17.74% | PK%: 81.65%
DG: Tomas Hradsky | Morale : 50 | Moyenne d’équipe : 68
Prochains matchs #1087 vs Avalanche
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Centre de jeu
Wild
19-42-7, 45pts
3
FINAL
2 Blues
37-24-7, 81pts
Team Stats
W1SéquenceL2
11-20-3Fiche domicile17-11-5
8-22-4Fiche visiteur20-13-2
3-4-3Derniers 10 matchs5-5-0
2.35Buts par match 3.13
3.74Buts contre par match 3.01
15.61%Pourcentage en avantage numérique17.74%
81.03%Pourcentage en désavantage numérique81.65%
Ducks
36-26-6, 78pts
7
FINAL
3 Blues
37-24-7, 81pts
Team Stats
W3SéquenceL2
18-13-3Fiche domicile17-11-5
18-13-3Fiche visiteur20-13-2
7-3-0Derniers 10 matchs5-5-0
3.25Buts par match 3.13
3.51Buts contre par match 3.01
17.16%Pourcentage en avantage numérique17.74%
82.66%Pourcentage en désavantage numérique81.65%
Avalanche
48-15-5, 101pts
Jour 133
Blues
37-24-7, 81pts
Statistiques d’équipe
W7SéquenceL2
24-6-2Fiche domicile17-11-5
24-9-3Fiche visiteur20-13-2
8-1-110 derniers matchs5-5-0
3.71Buts par match 3.13
2.60Buts contre par match 3.13
22.89%Pourcentage en avantage numérique17.74%
84.13%Pourcentage en désavantage numérique81.65%
Blues
37-24-7, 81pts
Jour 135
Senators
35-24-7, 77pts
Statistiques d’équipe
L2SéquenceSOL1
17-11-5Fiche domicile20-12-3
20-13-2Fiche visiteur15-12-4
5-5-010 derniers matchs5-2-3
3.13Buts par match 3.12
3.01Buts contre par match 3.12
17.74%Pourcentage en avantage numérique16.88%
81.65%Pourcentage en désavantage numérique85.53%
Blues
37-24-7, 81pts
Jour 138
Wild
19-42-7, 45pts
Statistiques d’équipe
L2SéquenceW1
17-11-5Fiche domicile11-20-3
20-13-2Fiche visiteur8-22-4
5-5-010 derniers matchs3-4-3
3.13Buts par match 2.35
3.01Buts contre par match 2.35
17.74%Pourcentage en avantage numérique15.61%
81.65%Pourcentage en désavantage numérique81.03%
Meneurs d'équipe
Auston MatthewsButs
Auston Matthews
33
Auston MatthewsPasses
Auston Matthews
39
Auston MatthewsPoints
Auston Matthews
72
Matt BoldyPlus/Moins
Matt Boldy
26
Vitek VanecekVictoires
Vitek Vanecek
30
Vitek VanecekPourcentage d’arrêts
Vitek Vanecek
0.903

Statistiques d’équipe
Buts pour
213
3.13 GFG
Tirs pour
1976
29.06 Avg
Pourcentage en avantage numérique
17.7%
44 GF
Début de zone offensive
40.8%
Buts contre
205
3.01 GAA
Tirs contre
1948
28.65 Avg
Pourcentage en désavantage numérique
81.6%%
49 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralTomas Hradsky
EntraîneurCraig Berube
DivisionCentral Division
ConférenceWestern Conference
CapitaineMarc Staal
Assistant #1Auston Matthews
Assistant #2Nic Dowd


Informations de l’aréna

NomEnterprise Center
Capacité20,000
Assistance18,774
Billets de saison10,000


Informations de la formation

Équipe Pro25
Équipe Mineure25
Limite contact 50 / 80
Espoirs65


Plafond salarial Non Activé

Cap Salarial de la Saison estimé72,575,000$
Plafond salarial disponible1,425,000$
Valeur du plafond salarial spécial805,000$
Joueurs Inclus dans le plafond salarial26


Finance

Revenu annuel à ce jour49,226,799$
Dépenses annuelles à ce jour59,995,000$
Revenus de la saison estimés11,933,769$
Dépenses de la saison estimées13,300,000$
Compte bancaire actuel30,312,746$
Compte bancaire projeté28,701,515$


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
1Auston Matthews (A)X100.0071378084808890928387927598645905075N02628,000,000$
2Clayton KellerX100.0062387388678994885587876993625605073N02536,500,000$
3William KarlssonX100.006936818272839480858078757972670507203026,000,000$
4Matt DucheneXX100.006436757972848982748075679776710507003234,600,000$
5Matt BoldyXX100.006940767977859479747581658056480506902221,800,000$
6Joel FarabeeX100.007845688071829477557674726958500506802311,900,000$
7Jack RoslovicXX100.006637808076819276727762756964570506802623,900,000$
8Daniel SprongXX100.006536798174728676527476648164560506702613,300,000$
9Nic Dowd (A)XX99.008141757674758670806266806478730506703322,800,000$
10Sam LaffertyXX100.007852677675788867766464736368610506602832,400,000$
11Jesperi KotkaniemiXX100.007440727677789473777068647758500506602312,000,000$
12Jujhar KhairaXX100.008151667382767962726160765770630506502911,000,000$
13Travis HamonicX99.007542567076829159306362835578710506903313,000,000$
14Colton ParaykoX100.007538766889909361306959795472650506903024,500,000$
15Erik GustafssonX100.006839817973858870308263685874670506803111,000,000$
16Zach WerenskiX100.006437777680925273308267737064570506702614,000,000$
17Nicolas HagueX100.007541676589819458306158765562530506602412,500,000$
18Robert BortuzzoX100.007647706483717552305559765080730506503421,200,000$
Rayé
1Cody GlassX100.006938787480788970766966677960520506502411,200,000$
2John CarlsonX77.247137767982917378308273807078730507203325,400,000$
3Marc Staal (C)X88.707942716682829454306058805184780506803632,000,000$
Équipe Mineure
1Pierre EngvallXX100.006637757485769170716168626466580506502711,200,000$
2Juuso Parssinen (R)XX100.007740807281777671757761666356500506502221,300,000$
3Jonatan Berggren (R)XX100.006336807572768771536368656858500506402321,200,000$
4Boris KatchoukX100.00755068737873826352635768616253050620251900,000$
5Tanner Laczynski (R)X100.00703784707468695972555564586455050600261700,000$
6Nic PetanXXX100.00624175696572626451565263596860050590282800,000$
7Sampo Ranta (R)XX100.00703682687664615650515063535848050570231500,000$
8Joseph BlandisiXX100.00603974627146605347525356577062050550291800,000$
9Cooper MarodyXX100.00553580617144605438535357576657050540261800,000$
10Riley DamianiX100.00593677646544555141495258585848050530231500,000$
11Cristiano DiGiacintoXX100.00573777596944584736474555526657050520279100,000$
12Nick CaamanoXX100.00563778568044564436454256526252050510251600,000$
13Nils Lundkvist (R)X100.00693976747178835830616368575849050630231800,000$
14Kale ClagueX100.006838706772767053305855655162520506102511,000,000$
15Markus Niemelainen (R)X100.00813980658167654830515568506253050610251700,000$
16Jacob Moverare (R)X100.00683578648176605030515566516253050600252900,000$
17Vladislav KolyachonokX100.00663675667474605030515567525646050590222900,000$
18Leon GawankeX100.00593578597554575530535563536050050570247100,000$
19Ryan FitzgeraldXX100.00543581596446534130414156537060050500284100,000$
20Joe MasoniusX100.00543575526954514230424257486455050520267100,000$
21Jacob FriendX100.00573776527250454230424255486455050520268100,000$
22Xavier BouchardX100.00553579528150464130424055495849050520238100,000$
23Xavier BernardX100.00543582528052454230434156485848050520238100,000$
MOYENNE D’ÉQUIPE98.2472407476788287715672697370696205068
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
1Dan Vladar (R)97.50706360867371707070706764570506202611,000,000$
2Arturs Silovs (R)100.00667471826968656667656356470506002221,000,000$
Rayé
1Vitek Vanecek98.50878784737886838584847266610506902712,700,000$
2Joseph Woll (R)80.18756360787776737477736362540506402511,000,000$
Équipe Mineure
1Calvin Pickard99.0061585570636062636361597467050580311800,000$
2Jacob Ingham (R)100.00504744815350515252555556460505202310100,000$
MOYENNE D’ÉQUIPE93.757572698074757374757366625505064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube70908070555570CAN571100,000$


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
1Auston MatthewsBluesC6033397221260941312438216413.58%10119519.9312820631950003595251.44%146240021.2047000876
2Clayton KellerBluesLW522837652520048842084813513.46%798018.853111439159000002341.89%7450011.3324000741
3William KarlssonBluesC641839571623551149187411389.63%17127619.9428103818101131495253.84%149741000.8934001463
4Matt BoldyBluesLW/RW682329522639589681733910813.29%10124918.37381141215000006060.23%8815000.8311001523
5Joel FarabeeBluesLW68183048542012594188541379.57%12117417.284610442090000101441.77%7942010.8238000243
6Matt DucheneBluesC/RW68152944-31005379166541049.04%11121817.925111632209000001152.84%28252000.7214000141
7John CarlsonBluesD645364116340697010432634.81%79144222.54189562100113150000%022000.5701000110
8Daniel SprongBluesLW/RW68121123-6180325712126969.92%5106315.64235191760001622138.89%9062000.4311000112
9Colton ParaykoBluesD68320231355589475521315.45%85146121.49134171350000216110%005000.3100001002
10Zach WerenskiBluesD6832023-1110029556220454.84%47112016.48371042231000147000%031000.4100000011
11Travis HamonicBluesD6671522145201725653142913.21%109146122.142025320003220200%009000.3000000002
12Jack RoslovicBluesC/RW5981220-74024669633498.33%1282814.03235241010003880058.75%8042000.4800000112
13Nic DowdBluesC/RW6110919-84607312180205512.50%1593015.260000500042142054.12%116611000.4100000001
14Nicolas HagueBluesD68410141715100243892110.53%70115817.04000000110128100%015000.2400001100
15Marc StaalBluesD613710-66315932940787.50%66103416.95000000001195000%000000.1900012001
16Erik GustafssonBluesD181789806141710165.88%1435919.98112955000024000%0211000.4400000000
17Sam LaffertyBluesC/LW67448-14482031514210359.52%65217.79000232022790050.32%31011000.3100013011
18Juuso ParssinenSpringfield Thunderbirds (STL)C/LW31358-1080202319121415.79%13009.68011113000001055.88%13600000.5300000002
19Jujhar KhairaBluesC/LW68325-930070434913336.12%1376411.2510112300032611045.10%15311000.1300000201
20Cody GlassBluesC22325-2001101361223.08%01506.8300000000060150.00%2400000.6700000100
21Jesperi KotkaniemiBluesC/LW46235-1110021254011165.00%13728.0900000000000032.65%4900000.2700000001
22Robert BortuzzoBluesD7101-62085110100.00%129613.7900000000018100%000000.2100000010
Statistiques d’équipe totales ou en moyenne12222073665735361955129813011995563130910.38%6022016116.5042781204332161235271934311552.20%54904450040.571530029343333
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
1Vitek VanecekBlues53301550.9032.713074101139143364100.643284910141
2Joseph WollBlues114410.8663.56590003526119010.66731128000
3Dan VladarBlues31200.8854.55132001087420000215010
Statistiques d’équipe totales ou en moyenne67352160.8972.913798101184178112511316253151


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 Salaire restantPlafond 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
Arturs SilovsBluesG2207.07.2001Yes203 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,000,000$175,000$1,000,000$175,000$No1,000,000$--------No--------Lien NHL
Auston MatthewsBluesC2607.07.1997No208 Lbs6 ft3YesNoN/ANoNo2Pro Only8,000,000$1,400,000$8,000,000$1,400,000$No8,000,000$--------Yes--------Lien NHL
Clayton KellerBluesLW2507.07.1998No178 Lbs5 ft10YesNoN/ANoNo3Pro Only6,500,000$1,137,500$6,500,000$1,137,500$No6,500,000$6,500,000$-------YesYes-------Lien NHL
Cody GlassBluesC2407.07.1999No206 Lbs6 ft3NoNoN/ANoNo1Pro Only1,200,000$210,000$1,200,000$210,000$No------------------Lien NHL
Colton ParaykoBluesD3007.07.1993No228 Lbs6 ft6NoNoN/ANoNo2Pro Only4,500,000$787,500$4,500,000$787,500$No4,500,000$--------No--------Lien NHL
Dan VladarBluesG2607.07.1997Yes209 Lbs6 ft5NoNoN/ANoNo1Pro & Farm1,000,000$175,000$1,000,000$175,000$No------------------Lien NHL
Daniel SprongBluesLW/RW2607.07.1997No202 Lbs6 ft0NoNoN/ANoNo1Pro Only3,300,000$577,500$3,300,000$577,500$No------------------Lien NHL
Erik GustafssonBluesD3107.07.1992No197 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$175,000$1,000,000$175,000$No------------------Lien NHL
Jack RoslovicBluesC/RW2607.07.1997No200 Lbs6 ft1NoNoN/ANoNo2Pro Only3,900,000$682,500$3,900,000$682,500$No3,900,000$--------No--------Lien NHL
Jesperi KotkaniemiBluesC/LW2307.07.2000No201 Lbs6 ft2NoNoN/ANoNo1Pro Only2,000,000$350,000$2,000,000$350,000$No------------------Lien NHL
Joel FarabeeBluesLW2307.07.2000No183 Lbs6 ft0NoNoN/ANoNo1Pro Only1,900,000$332,500$1,900,000$332,500$No------------------Lien NHL
John CarlsonBluesD3307.07.1990No215 Lbs6 ft3NoNoTrade03.03.2024NoNo2Pro Only5,400,000$945,000$5,400,000$945,000$No5,400,000$--------No--------Lien NHL
Joseph Woll (contrat à 1 volet)BluesG2507.07.1998Yes203 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$175,000$1,000,000$175,000$No------------------Lien NHL
Jujhar Khaira (contrat à 1 volet)BluesC/LW2907.07.1994No212 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,000,000$175,000$1,000,000$175,000$No------------------Lien NHL
Marc StaalBluesD3607.07.1987No208 Lbs6 ft4NoNoN/ANoNo3Pro Only2,000,000$350,000$2,000,000$350,000$No2,000,000$2,000,000$-------NoNo-------Lien NHL
Matt BoldyBluesLW/RW2207.07.2001No201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,800,000$315,000$1,800,000$315,000$No1,800,000$--------No--------Lien NHL
Matt DucheneBluesC/RW3207.07.1991No195 Lbs5 ft11NoNoN/ANoNo3Pro Only4,600,000$805,000$4,600,000$805,000$No4,600,000$4,600,000$-------NoNo-------Lien NHL
Nic DowdBluesC/RW3307.07.1990No193 Lbs6 ft1NoNoN/ANoNo2Pro Only2,800,000$490,000$2,800,000$490,000$No2,800,000$--------No--------Lien NHL
Nicolas HagueBluesD2407.07.1999No230 Lbs6 ft6NoNoN/ANoNo1Pro Only2,500,000$437,500$2,500,000$437,500$No------------------Lien NHL
Robert BortuzzoBluesD3407.07.1989No216 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,200,000$210,000$1,200,000$210,000$No1,200,000$--------No--------Lien NHL
Sam LaffertyBluesC/LW2807.07.1995No195 Lbs6 ft1NoNoN/ANoNo3Pro Only2,400,000$420,000$2,400,000$420,000$No2,400,000$2,400,000$-------NoNo-------Lien NHL
Travis HamonicBluesD3307.07.1990No200 Lbs6 ft1NoNoN/ANoNo1Pro Only3,000,000$525,000$3,000,000$525,000$No------------------Lien NHL
Vitek VanecekBluesG2707.07.1996No184 Lbs6 ft2NoNoN/ANoNo1Pro Only2,700,000$472,500$2,700,000$472,500$No------------------Lien NHL
William KarlssonBluesC3007.07.1993No190 Lbs6 ft0NoNoN/ANoNo2Pro Only6,000,000$1,050,000$6,000,000$1,050,000$No6,000,000$--------No--------Lien NHL
Zach WerenskiBluesD2607.07.1997No213 Lbs6 ft2NoNoN/ANoNo1Pro Only4,000,000$700,000$4,000,000$700,000$No------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2527.76203 Lbs6 ft21.682,988,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
74,700,000$50,100,000$15,500,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Clayton KellerAuston MatthewsMatt Boldy35032
2Joel FarabeeWilliam KarlssonMatt Duchene33122
3Daniel SprongNic DowdJack Roslovic25122
4Sam LaffertyNic DowdJujhar Khaira7230
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonTravis Hamonic40122
2Zach WerenskiColton Parayko30131
3Robert BortuzzoNicolas Hague20131
4Robert BortuzzoNicolas Hague10230
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Clayton KellerAuston MatthewsMatt Duchene60005
2Joel FarabeeWilliam KarlssonMatt Boldy40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniel SprongErik Gustafsson60014
2Colton ParaykoZach Werenski40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nic DowdJujhar Khaira60050
2William KarlssonJack Roslovic40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colton ParaykoTravis Hamonic60140
2Nicolas HagueRobert Bortuzzo40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nic Dowd60050Travis HamonicRobert Bortuzzo60140
2Jujhar Khaira40050Nicolas HagueColton Parayko40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Auston MatthewsClayton Keller60122
2Matt DucheneMatt Boldy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicErik Gustafsson60122
2Colton ParaykoNicolas Hague40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Clayton KellerAuston MatthewsMatt BoldyErik GustafssonColton Parayko
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaNic DowdAuston MatthewsTravis HamonicColton Parayko
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Auston Matthews, Matt Duchene, Clayton KellerAuston Matthews, Clayton KellerNic Dowd
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Colton Parayko, Erik Gustafsson, Travis HamonicErik GustafssonTravis Hamonic, Colton Parayko
Tirs de pénalité
Auston Matthews, Joel Farabee, Clayton Keller, Matt Duchene, Matt Boldy
Gardien
#1 : Dan Vladar, #2 : Arturs Silovs


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
1Avalanche30100101814-61000000134-120100100510-520.333814220016129328333179228365013430.77%11281.82%01169224052.19%1143218552.31%554106552.02%735178203617
2Blackhawks31200000910-11010000023-12110000077020.333917260015307621312408116266511327.27%12375.00%01169224052.19%1143218552.31%554106552.02%694873213617
3Blue Jackets21100000532110000005141010000002-220.50057120012205419201506414144210110.00%7185.71%01169224052.19%1143218552.31%554106552.02%503545142413
4Bruins21001000844100010004311100000041341.00081220001151582013241602224353266.67%120100.00%01169224052.19%1143218552.31%554106552.02%402347183215
5Canadiens20100100610-41000010045-11010000025-310.250691500312070251826152161252500.00%5180.00%01169224052.19%1143218552.31%554106552.02%523642132614
6Canucks3110000189-11000000123-12110000066030.5008152300134085272434383262252700.00%110100.00%01169224052.19%1143218552.31%554106552.02%735275213517
7Capitals211000006601010000014-31100000052320.50061016005010492612110491914328225.00%5260.00%01169224052.19%1143218552.31%554106552.02%463348132412
8Coyotes42100001912-3210000015502110000047-350.62591625003601108334331312238527817211.76%21290.48%01169224052.19%1143218552.31%554106552.02%976796305025
9Devils2020000037-41010000013-21010000024-200.00034700111044111617044151435600.00%7271.43%01169224052.19%1143218552.31%554106552.02%402247173215
10Ducks2010001069-31010000037-41000001032120.500691500311271223216576291432100.00%6350.00%01169224052.19%1143218552.31%554106552.02%483245153015
11Flames22000000743000000000002200000074341.00071320002230661719300531822385120.00%10190.00%01169224052.19%1143218552.31%554106552.02%422850172712
12Flyers2010100056-1100010003211010000024-220.500591400220165222319162252234400.00%100100.00%01169224052.19%1143218552.31%554106552.02%462945172913
13Golden Knights21001000734110000004131000100032141.0007121900303142218121542633337228.57%80100.00%01169224052.19%1143218552.31%554106552.02%463250152512
14Hurricanes1010000034-1000000000001010000034-100.00035800021015492042101615200.00%8275.00%01169224052.19%1143218552.31%554106552.02%1810288135
15Islanders211000001091110000006421010000045-120.500101828005320582014240641826369444.44%10280.00%01169224052.19%1143218552.31%554106552.02%432952152410
16Jets31200000101001010000013-22110000097220.3331017271034309633234008827275111218.18%11463.64%11169224052.19%1143218552.31%554106552.02%715071213717
17Kings3300000012572200000010461100000021161.0001222340154309532333006426214812216.67%8187.50%01169224052.19%1143218552.31%554106552.02%724864234322
18Kraken22000000954110000005321100000042241.00091726006300592623100551719428225.00%60100.00%01169224052.19%1143218552.31%554106552.02%503645132312
19Lightning21000010743110000003121000001043141.00071118002042702318267491514337342.86%70100.00%11169224052.19%1143218552.31%554106552.02%574242142412
20Maple Leafs20100010770100000105411010000023-120.5007916001412542118143581514408225.00%7442.86%01169224052.19%1143218552.31%554106552.02%483352132412
21Oilers211000008621010000024-21100000062420.5008132110233064261820048111640800.00%7185.71%01169224052.19%1143218552.31%554106552.02%443051142412
22Panthers2110000067-11010000024-21100000043120.500611170032104721151106716224410110.00%10190.00%01169224052.19%1143218552.31%554106552.02%453051152311
23Penguins20100100310-71000010034-11010000006-610.2503360020105125718161101439500.00%7271.43%01169224052.19%1143218552.31%554106552.02%473248142512
24Predators22000000734220000007340000000000041.0007121900502051178260652226357228.57%13192.31%01169224052.19%1143218552.31%554106552.02%493348132211
25Rangers211000006601010000034-11100000032120.50061016003030511711230702218547228.57%9455.56%01169224052.19%1143218552.31%554106552.02%402450162915
26Red Wings21000010853100000104311100000042241.00081422002053611617266511410489111.11%4175.00%01169224052.19%1143218552.31%554106552.02%503749132412
27Sabres21000010752110000004311000001032141.0007101700141263181826350927261317.69%4250.00%01169224052.19%1143218552.31%554106552.02%553843152513
28Senators10001000541100010005410000000000021.0005813001031371291513481020300.00%50100.00%01169224052.19%1143218552.31%554106552.02%2718236137
29Sharks1000010012-1000000000001000010012-110.50012300010019487031910145120.00%50100.00%01169224052.19%1143218552.31%554106552.02%2215257125
30Stars312000009902020000026-41100000073420.333918270034209931343406916345218316.67%16568.75%01169224052.19%1143218552.31%554106552.02%765267213518
31Wild31100010871201000107701100000010140.667813210142111054233293902510729111.11%5260.00%01169224052.19%1143218552.31%554106552.02%835957224422
Total682724044632132058331111032331061024351613012301071034810.5962133605732275666219197668060867146194858263912872484417.74%2674981.65%21169224052.19%1143218552.31%554106552.02%163311191621508886441
_Since Last GM Reset682724044632132058331111032331061024351613012301071034810.5962133605732275666219197668060867146194858263912872484417.74%2674981.65%21169224052.19%1143218552.31%554106552.02%163311191621508886441
_Vs Conference3818120122311810810187700013535302011501210655510470.61811821032822424429711293803703742210713343687021392517.99%1502583.33%11169224052.19%1143218552.31%554106552.02%923638900279486243
_Vs Division2189001126065-51135000122731-41054001003334-1210.5006010716711202712462820520521513607172211403861719.77%891978.65%11169224052.19%1143218552.31%554106552.02%522363491151263130

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6881L221336057319761948582639128722
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6827244463213205
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3311113233106102
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3516131230107103
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2484417.74%2674981.65%2
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
6806086714675666219
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
1169224052.19%1143218552.31%554106552.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
163311191621508886441


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
215Blues7Stars3AWSommaire du match
430Kraken3Blues5BWSommaire du match
859Coyotes3Blues2BLXXSommaire du match
969Penguins4Blues3BLXSommaire du match
1296Blues3Jets4ALSommaire du match
14113Blues3Flames2AWSommaire du match
16128Blues2Canucks4ALSommaire du match
18141Blues4Avalanche5ALXSommaire du match
20157Devils3Blues1BLSommaire du match
21165Canadiens5Blues4BLXSommaire du match
23181Jets3Blues1BLSommaire du match
25197Coyotes2Blues3BWSommaire du match
27217Blues1Avalanche5ALSommaire du match
29230Lightning1Blues3BWSommaire du match
31249Blues1Sharks2ALXSommaire du match
33264Blues2Kings1AWSommaire du match
35280Blues3Ducks2AWXXSommaire du match
36288Blues1Coyotes6ALSommaire du match
38305Predators1Blues4BWSommaire du match
40319Blues5Blackhawks3AWSommaire du match
41328Blues1Wild0AWSommaire du match
43345Sabres3Blues4BWSommaire du match
45360Blues3Coyotes1AWSommaire du match
48386Blues3Golden Knights2AWXSommaire du match
50402Golden Knights1Blues4BWSommaire du match
52417Blues0Blue Jackets2ALSommaire du match
53426Blues2Blackhawks4ALSommaire du match
56450Red Wings3Blues4BWXXSommaire du match
57458Senators4Blues5BWXSommaire du match
59476Stars3Blues2BLSommaire du match
61492Blues4Lightning3AWXXSommaire du match
62497Blues4Panthers3AWSommaire du match
65524Blackhawks3Blues2BLSommaire du match
66533Stars3Blues0BLSommaire du match
68550Avalanche4Blues3BLXXSommaire du match
70562Blues0Penguins6ALSommaire du match
72580Blues3Hurricanes4ALSommaire du match
75608Canucks3Blues2BLXXSommaire du match
77623Rangers4Blues3BLSommaire du match
78631Panthers4Blues2BLSommaire du match
83672Flyers2Blues3BWXSommaire du match
84679Bruins3Blues4BWXSommaire du match
86693Blues5Capitals2AWSommaire du match
88712Capitals4Blues1BLSommaire du match
90728Blues4Flames2AWSommaire du match
92746Blues4Canucks2AWSommaire du match
93756Blues4Kraken2AWSommaire du match
95772Kings4Blues5BWSommaire du match
97790Blue Jackets1Blues5BWSommaire du match
99801Blues3Sabres2AWXXSommaire du match
100811Blues2Canadiens5ALSommaire du match
102827Blues2Maple Leafs3ALSommaire du match
104846Oilers4Blues2BLSommaire du match
105855Predators2Blues3BWSommaire du match
107871Maple Leafs4Blues5BWXXSommaire du match
109888Islanders4Blues6BWSommaire du match
110897Blues4Red Wings2AWSommaire du match
113920Blues6Jets3AWSommaire du match
116950Blues6Oilers2AWSommaire du match
118965Wild4Blues5BWXXSommaire du match
119969Blues4Islanders5ALSommaire du match
121987Blues2Flyers4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1231001Blues3Rangers2AWSommaire du match
1241009Blues2Devils4ALSommaire du match
1261024Blues4Bruins1AWSommaire du match
1281047Kings0Blues5BWSommaire du match
1301063Wild3Blues2BLSommaire du match
1321079Ducks7Blues3BLSommaire du match
1331087Avalanche-Blues-
1351102Blues-Senators-
1381126Blues-Wild-
1401142Golden Knights-Blues-
1411150Flames-Blues-
1431165Sharks-Blues-
1451184Oilers-Blues-
1481209Blues-Predators-
1501228Blues-Sharks-
1511236Blues-Ducks-
1531251Blackhawks-Blues-
1551266Hurricanes-Blues-
1561275Kraken-Blues-
1591297Blues-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80004000500020001000
Prix des billets102604231205
Assistance245,945128,326150,47162,73832,046
Attendance PCT93.16%97.22%91.19%95.06%97.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 18774 - 93.87% 1,491,721$49,226,799$20000121

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
59,995,000$ 75,900,000$ 75,900,000$ 0$ 805,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
466,875$ 58,697,500$ 0$ 26 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
11,933,769$ 28 475,000$ 13,300,000$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
13,545,000$ 30,312,746$ 28,701,515$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
72,575,000$ 1,425,000$ 74,000,000$ 28,575,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Clayton KellerAGE:25PO:0OV:73
Matt BoldyAGE:22PO:0OV:69
Joel FarabeeAGE:23PO:0OV:68
Daniel SprongAGE:26PO:0OV:67
Sam LaffertyAGE:28PO:0OV:66
Jesperi KotkaniemiAGE:23PO:0OV:66
Pierre EngvallAGE:27PO:0OV:65
Jujhar KhairaAGE:29PO:0OV:65
Juuso Parssinen (R)AGE:22PO:0OV:65
Jonatan Berggren (R)AGE:23PO:0OV:64
Boris KatchoukAGE:25PO:0OV:62
Nic PetanAGE:28PO:0OV:59
Sampo Ranta (R)AGE:23PO:0OV:57
Cristiano DiGiacintoAGE:27PO:0OV:52
Nick CaamanoAGE:25PO:0OV:51
Ryan FitzgeraldAGE:28PO:0OV:50
Auston MatthewsAGE:26PO:0OV:75
William KarlssonAGE:30PO:0OV:72
Matt DucheneAGE:32PO:0OV:70
Jack RoslovicAGE:26PO:0OV:68
Nic DowdAGE:33PO:0OV:67
Sam LaffertyAGE:28PO:0OV:66
Jesperi KotkaniemiAGE:23PO:0OV:66
Jujhar KhairaAGE:29PO:0OV:65
Cody GlassAGE:24PO:0OV:65
Juuso Parssinen (R)AGE:22PO:0OV:65
Tanner Laczynski (R)AGE:26PO:0OV:60
Nic PetanAGE:28PO:0OV:59
Joseph BlandisiAGE:29PO:0OV:55
Cooper MarodyAGE:26PO:0OV:54
Riley DamianiAGE:23PO:0OV:53
Ryan FitzgeraldAGE:28PO:0OV:50
Matt DucheneAGE:32PO:0OV:70
Matt BoldyAGE:22PO:0OV:69
Jack RoslovicAGE:26PO:0OV:68
Daniel SprongAGE:26PO:0OV:67
Nic DowdAGE:33PO:0OV:67
Pierre EngvallAGE:27PO:0OV:65
Jonatan Berggren (R)AGE:23PO:0OV:64
Nic PetanAGE:28PO:0OV:59
Sampo Ranta (R)AGE:23PO:0OV:57
Joseph BlandisiAGE:29PO:0OV:55
Cooper MarodyAGE:26PO:0OV:54
Cristiano DiGiacintoAGE:27PO:0OV:52
Nick CaamanoAGE:25PO:0OV:51

Défense #1Défense #2Gardien
John CarlsonAGE:33PO:0OV:72
Travis HamonicAGE:33PO:0OV:69
Colton ParaykoAGE:30PO:0OV:69
Erik GustafssonAGE:31PO:0OV:68
Marc StaalAGE:36PO:0OV:68
Zach WerenskiAGE:26PO:0OV:67
Nicolas HagueAGE:24PO:0OV:66
Robert BortuzzoAGE:34PO:0OV:65
Nils Lundkvist (R)AGE:23PO:0OV:63
Kale ClagueAGE:25PO:0OV:61
Markus Niemelainen (R)AGE:25PO:0OV:61
Jacob Moverare (R)AGE:25PO:0OV:60
Vladislav KolyachonokAGE:22PO:0OV:59
Leon GawankeAGE:24PO:0OV:57
Joe MasoniusAGE:26PO:0OV:52
Jacob FriendAGE:26PO:0OV:52
Xavier BouchardAGE:23PO:0OV:52
Xavier BernardAGE:23PO:0OV:52
Vitek VanecekAGE:27PO:0OV:69
Joseph Woll (R)AGE:25PO:0OV:64
Dan Vladar (R)AGE:26PO:0OV:62
Arturs Silovs (R)AGE:22PO:0OV:60
Calvin PickardAGE:31PO:0OV:58
Jacob Ingham (R)AGE:23PO:0OV:52

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.
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10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Adam MascherinBlues00
Aku RatyBlues00
Albin GreweBlues00
Alex GagneBlues00
Alexander KhovanovBlues00
Ben HemmerlingBlues00
Blade JenkinsBlues00
Blake MurrayBlues00
Bradly NadeauBlues00
Bulat ShafigullinBlues00
Cade LittlerBlues00
Cameron WhynotBlues00
Chandler RomeoBlues00
Chase PearsonBlues00
Cole BradyBlues00
Connor CorcoranBlues00
Dmitry ZavgorodniyBlues00
Eetu TuulolaBlues00
Erik FoleyBlues00
Evan VierlingBlues00
Grant MismashBlues00
Harrison BlaisdellBlues00
Henrik TikkanenBlues00
Hugo GabrielsonBlues00
Hunter FejesBlues00
Isaiah GeorgeBlues00
Ivan LodniaBlues00
Jacob KucharskiBlues00
Jacob PaquetteBlues00
Jamieson ReesBlues00
Janne PeltonenBlues00
Joel Ratkovic BerndtssonBlues00
John NybergBlues00
Josh EssBlues00
Kalle KangasBlues00
Keean WashkurakBlues00
Kevin BickerBlues00
Linus WeissbachBlues00
Lucas CionaBlues00
Markus PhillipsBlues00
Marshall WarrenBlues00
Martin PospisilBlues00
Mason McDonaldBlues00
Maxence GuenetteBlues00
Maximus WannerBlues00
Nick MerkleyBlues00
Olen ZellwegerBlues00
Oscar PlandowskiBlues00
Owen PickeringBlues00
Pascal LabergeBlues00
Radovan BondraBlues00
Rhett PitlickBlues00
Riley HughesBlues00
Rodion AmirovBlues00
Ryan HealeyBlues00
Ryan MacPhersonBlues00
Ryan MastBlues00
Stepan ZvyaginBlues00
Stephen DesrocherBlues00
Thomas SchemitschBlues00
Tuukka TieksolaBlues00
Tyler WeissBlues00
Vaclav KarabacekBlues00
William BittenBlues00
Zayde WisdomBlues00

Choix au repêchage

Année R1R2R3R4R5R6R7
24
25
26
27
28
Choix au repêchage conditionnel



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


Blues Historique de transactions

[15.04.2024 1:59:27] - Jacob Ingham was added to Blues.
[29.03.2024 20:39:22] - TRADE : From Blues to Canadiens : Colton Point (49).
[03.03.2024 21:45:39] - TRADE : From Blues to Capitals : Tony DeAngelo (68), Y:24-RND:2-STL, Y:25-RND:2-STL.
[03.03.2024 21:45:39] - TRADE : From Capitals to Blues : John Carlson (72).
[20.01.2024 21:17:40] - TRADE : From Blue Jackets to Blues : Y:24-RND:5-CBJ, Y:25-RND:6-CBJ.
[20.01.2024 21:17:40] - TRADE : From Blues to Blue Jackets : Antti Raanta (65).
[26.12.2023 21:05:45] - Jonatan Berggren has been selected as assistant for Springfield Thunderbirds.
[26.12.2023 21:05:45] - Unknown Player is no longer as assistant for Springfield Thunderbirds.
[26.12.2023 21:05:45] - Pierre Engvall has been selected as assistant for Springfield Thunderbirds.
[26.12.2023 21:05:45] - Unknown Player is no longer as assistant for Springfield Thunderbirds.
[26.12.2023 21:05:45] - Robert Bortuzzo has been selected as captain for Springfield Thunderbirds.
[26.12.2023 21:05:45] - Unknown Player is no longer captain for Springfield Thunderbirds.
[26.12.2023 21:05:45] - Nic Dowd has been selected as assistant for Blues.
[26.12.2023 21:05:45] - Unknown Player is no longer as assistant for Blues.
[26.12.2023 21:05:45] - Auston Matthews has been selected as assistant for Blues.
[26.12.2023 21:05:45] - Unknown Player is no longer as assistant for Blues.
[26.12.2023 21:05:45] - Marc Staal has been selected as captain for Blues.
[26.12.2023 21:05:45] - Unknown Player is no longer captain for Blues.
[05.12.2023 22:53:43] - TRADE : From Blues to Penguins : Filip Kral (P).
[21.11.2023 1:44:52] - Blues hired Craig Berube for $100,000 for 1 year(s).



[22.04.2024 21:59:56] Successfully loaded Blues lines done with Web Base Client and SQLite Database from IP:86.49.226.228 .
[22.04.2024 21:59:23] Successfully loaded Blues lines done with Web Base Client and SQLite Database from IP:86.49.226.228 .
[22.04.2024 21:59:23] Arturs Silovs of Blues was sent to pro.
[19.04.2024 21:24:13] Successfully loaded Blues lines done with Web Base Client and SQLite Database from IP:104.28.62.10 .
[18.04.2024 21:44:15] Game 1047 - John Carlson from Blues is injured (Facial Surgery) and is out for 3 weeks.
[18.04.2024 21:44:11] Successfully loaded Blues lines done with Web Base Client and SQLite Database from IP:109.81.89.51 .
[18.04.2024 21:43:00] Successfully loaded Blues lines done with Web Base Client and SQLite Database from IP:109.81.89.51 .
[18.04.2024 21:43:00] Arturs Silovs of Blues was sent to farm.
[16.04.2024 23:45:16] Successfully loaded Blues lines done with Web Base Client and SQLite Database from IP:46.183.64.22 .
[16.04.2024 23:45:16] Arturs Silovs of Blues was sent to pro.
[15.04.2024 1:59:27] Jacob Ingham was added to Blues.
[15.04.2024 1:57:35] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[15.04.2024 1:56:16] Auto Lines Partial Function has been run for Springfield Thunderbirds.
[15.04.2024 1:56:10] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[15.04.2024 1:56:10] Robert Bortuzzo of Blues was sent to pro.
[13.04.2024 23:00:52] Game 1001 - Marc Staal from Blues is injured (Abdomen/Ribs) and is out for 3 weeks.
[12.04.2024 21:54:34] Successfully loaded Blues lines done with Web Base Client and SQLite Database from IP:86.49.234.43 .
[12.04.2024 21:54:06] Successfully loaded Blues lines done with Web Base Client and SQLite Database from IP:86.49.234.43 .
[11.04.2024 22:03:28] Game 987 - Joseph Woll from Blues is injured (Back) and is out for 1 month.



Joseph Woll est dehors pour 2 semaines à cause de Back Injury.
Marc Staal est dehors pour 1 semaine à cause de Abdomen/Ribs Injury.
John Carlson est dehors pour 2 semaines à cause de Facial Surgery 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