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Centre de jeu
Blues
4-0-1, 9pts
4
FINAL
3 Predators
1-2-1, 3pts
Team Stats
W1StreakL1
3-0-0Home Record1-0-1
1-0-1Away Record0-2-0
4-0-1Last 10 Games1-2-1
5.20Goals Per Game2.50
3.00Goals Against Per Game4.50
29.17%Power Play Percentage8.33%
85.00%Penalty Kill Percentage67.74%
Avalanche
2-4-0, 4pts
2
FINAL
5 Blues
4-0-1, 9pts
Team Stats
L1StreakW1
2-0-0Home Record3-0-0
0-4-0Away Record1-0-1
2-4-0Last 10 Games4-0-1
2.33Goals Per Game5.20
3.33Goals Against Per Game3.00
8.00%Power Play Percentage29.17%
88.00%Penalty Kill Percentage85.00%
Blues
4-0-1, 9pts
Jour 12
Sabres
3-2-0, 6pts
Stats Équipe
W1SéquenceL1
3-0-0Fiche domicile3-0-0
1-0-1Fiche visiteur0-2-0
4-0-110 derniers matchs3-2-0
5.20Buts par match 3.60
3.00Buts contre par match 3.40
29.17%Pourcentage en avantage numérique25.00%
85.00%Pourcentage en désavantage numérique88.24%
Avalanche
2-4-0, 4pts
Jour 14
Blues
4-0-1, 9pts
Stats Équipe
L1SéquenceW1
2-0-0Fiche domicile3-0-0
0-4-0Fiche visiteur1-0-1
2-4-010 derniers matchs4-0-1
2.33Buts par match 5.20
3.33Buts contre par match 3.00
8.00%Pourcentage en avantage numérique29.17%
88.00%Pourcentage en désavantage numérique85.00%
Blues
4-0-1, 9pts
Jour 16
Blackhawks
3-2-0, 6pts
Stats Équipe
W1SéquenceL2
3-0-0Fiche domicile1-1-0
1-0-1Fiche visiteur2-1-0
4-0-110 derniers matchs3-2-0
5.20Buts par match 2.80
3.00Buts contre par match 2.80
29.17%Pourcentage en avantage numérique6.45%
85.00%Pourcentage en désavantage numérique60.00%
Meneurs d'équipe
Nick SchmaltzButs
Nick Schmaltz
4
Boone JennerPasses
Boone Jenner
6
Sam ReinhartPoints
Sam Reinhart
8
Ivan ProvorovPlus/Moins
Ivan Provorov
4
Ilya SorokinVictoires
Ilya Sorokin
4
Ilya SorokinPourcentage d’arrêts
Ilya Sorokin
0.912

Stats Équipe
Buts pour
26
5.20 GFG
Tirs pour
208
41.60 Avg
Pourcentage en avantage numérique
29.2%
7 GF
Début de zone offensive
42.5%
Buts contre
15
3.00 GAA
Tirs contre
160
32.00 Avg
Pourcentage en désavantage numérique
85.0%
3 GA
Début de la zone défensive
40.0%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralMaxime Barabe
EntraîneurGlen Gulutzan
DivisionCentral
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Uniformes
Informations de l’aréna
NomAnheuser-Busch Center
Capacité25,000
Assistance20,459
Billets de saison10,000
Information formation
Équipe Pro21
Équipe Mineure25
Limite contact 46 / 50
Espoirs0
Plafond salarial
Cap Salarial de la Saison estimé89,175,060$
Plafond salarial disponible824,940$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour5,663,128$
Dépenses annuelles à ce jour5,065,280$
Revenus de la saison estimés73,620,664$
Dépenses de la saison estimées86,109,760$
Compte bancaire actuel298,737,544$
Compte bancaire projeté283,829,248$
Historique d'équipe
Saison actuelle4-0-1 (9PTS)
Historique840-748-147 (0.484%)
Apparitions séries éliminatoires 11
Historique séries éliminatoires (W-L)76-60
Stanley Cup1


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
1Nick SchmaltzX99.0047448393538799828181838277848640287803046,375,000$
2Sam ReinhartX99.0062488792619087847381878081868835287803127,200,000$
3Brad MarchandX99.005640759745847988408393636499920287703818,750,000$
4Zach HymanX100.0063518090668883824070947240929020287603427,000,000$
5Boone JennerX100.0091577783678289688871667960908625287303335,000,000$
6Marcus JohanssonX100.0051508786658094724077667451968810287203612,000,000$
7Taylor HallX100.0056527984687998704071686664948715287003523,750,000$
8Radek FaksaX100.0072558476757483578861538673888130286803212,500,000$
9Nic DowdX100.0084527177637994568457557673968810286703642,200,000$
10Scott LaughtonX100.0084508080587987589349677940888430286703223,500,000$
11Jonathan DrouinX100.0047488482548387608566557064868535286603154,500,000$
12William CarrierX100.0098548576727291564053586740888030286503222,350,000$
13Ivan ProvorovX100.0048558280759199634062648240828745287302946,000,000$
14John MarinoX100.0048498682638498644073568240828345287202933,900,000$
15Darnell NurseX100.0079666576778499594057617740868535287203156,500,000$
16Radko GudasX100.0099686678657781554056547740968710287103644,000,000$
17Christopher TanevX100.004451907567795152405550964098895286903724,400,000$
18Samuel GirardX100.0048428283428084594062567140808050286602815,000,000$
Rayé
1Filip ChytilX100.0048538076708051558440716440787955206102733,500,000$
Équipe Mineure
1Nick CousinsX100.008950678055749857405459686990822521650331850,000$
2Conor ShearyX100.004839858243788557405559766592852021640341900,000$
3Filip Bystedt (R)X100.007756837972746463406858634068718021640222925,000$
4Jeffrey Truchon-VielX100.009984557670747454405355684082784521630293575,000$
5Michael EyssimontX100.0063517980597381584055626440847940216303011,250,000$
6Nils AmanX100.0067458478556454567070395957767060215902611,100,000$
7Rasmus KupariX100.0071518575666050518844575540766860215702611,350,000$
8Hugh McGingX100.0050717276437565444044456040807850215502811,750,000$
9Pierrick DubeX100.005951807748605049405147604074676521550251575,000$
10Lukas RousekX100.004840787660605049406038514078695521540271750,000$
11Matthew Sop (R)X100.005845837553605044404444554070657521520232575,000$
12Troy StecherX100.0051428480498287554054567740888530196703211,750,000$
13Cal FooteX100.006771827579555042404440704080685021610283575,000$
14Braden Hache (R)X100.007777577572767132402935634070737521600232925,000$
15Jett WooX100.0074494775645550354035365099766660215402611,350,000$
16Layton AhacX100.006963817568555028402630504074656521530251575,000$
17Isaac Belliveau (R)X100.005549638460555032403133514072647021530242750,000$
18Calle JarnkrokX100.0054478777587481518343597162948415116203523,500,000$
19Daylan KueflerX100.006671717560766640403842644072747020550241575,000$
20William DufourX100.0047457075736050414039435040726670205102411,100,000$
21Kaleb Lawrence (R)X100.009174507586605030702930604070657520510232575,000$
22Ethan KeppenX100.005951627567605031402437584074676520490251575,000$
23Cameron ButlerX100.007572657577605028402035574072667020490241575,000$
MOYENNE D’ÉQUIPE99.93655476796373735452535568508378432463
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
1Ilya Sorokin100.009297998988878891909085868735298703181$
2Aleksei Kolosov (R)100.00756671925050505050504072617029590241750,000$
Rayé
Équipe Mineure
1Ivan Fedotov (R)100.00757783995050505050509084674022610303575,000$
2Simon Zajicek (R)100.00705060865960515556554074676522600253575,000$
MOYENNE D’ÉQUIPE100.0078737892626260626261647971532667
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan75989185907560CAN5552,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Sam ReinhartBluesRW53582208122562112.00%110821.77112520000000055.56%900001.4701000110
2Boone JennerBluesC526824019101631312.50%08617.36123919000021055.64%13300001.8400000102
3Ivan ProvorovBluesD534746056121425.00%712725.49213819000015100.00%000001.1000000100
4Nick SchmaltzBluesC54373001132581016.00%211322.64022620000001043.58%17900001.2400000001
5Zach HymanBluesLW5347300092772911.11%08717.44011519000000035.71%1400001.6100000020
6Brad MarchandBluesLW53472201472541812.00%010921.98101320000000014.29%700001.2701000110
7Taylor HallBluesRW515620004154106.67%010521.140445190000220033.33%900001.1400000000
8John MarinoBluesD50443601046210.00%1012725.58000520000017000.00%000000.6300000010
9Radek FaksaBluesC521330001142750.00%0397.86000000000110061.36%4400001.5300000000
10Darnell NurseBluesD52133206083325.00%410721.56101318000014100.00%000000.5600000000
11Jonathan DrouinBluesRW51230001361516.67%06312.69112220000000050.00%400000.9500000000
12Christopher TanevBluesD5022120231050.00%87515.1900000000011000.00%000000.5300000001
13Marcus JohanssonBluesLW5202000081351015.38%1479.4900000000000033.33%300000.8400000000
14Samuel GirardBluesD5011120732120.00%15911.980000000000000.00%000000.3300000000
15William CarrierBluesLW5011300212000.00%0285.70000000000000100.00%100000.7000000000
16Scott LaughtonBluesRW5011300157170.00%0397.910000000001100100.00%100000.5100000000
17Nic DowdBluesC500002010117030.00%16713.57000000001200053.33%10500000.0000000000
18Radko GudasBluesD500031201537110.00%48617.3900000000111000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne90264470384001011132084914912.50%39148316.49712195119900021374049.90%50900000.9402000454
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
1Ilya SorokinBlues54010.9122.7430720141600000.000250000
Statistiques d’équipe totales ou en moyenne54010.9122.7430720141600000.000250000


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 2040 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2041 204220432044204520462047Salaire annuel 9Salaire annuel 10Link
Aleksei KolosovBluesG242002-01-04Yes185 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$708,333$No
RFA
Lien / Lien NHL
Boone JennerBluesC331993-06-15No204 Lbs6 ft2NoNoYes3Pro Only5,000,000$5,000,000$4,722,222$No5,000,000$5,000,000$
UFA
Lien / Lien NHL
Brad MarchandBluesLW381988-05-11No180 Lbs5 ft9NoNoYes1Pro Only8,750,000$8,750,000$8,263,889$No
UFA
Lien / Lien NHL
Christopher TanevBluesD371989-12-20No200 Lbs6 ft3NoNoYes2Pro & Farm4,400,000$4,400,000$4,155,556$No4,400,000$
UFA
Lien / Lien NHL
Darnell NurseBluesD311995-02-04No215 Lbs6 ft4NoNoYes5Pro Only6,500,000$6,500,000$6,138,889$No6,500,000$6,500,000$6,500,000$6,500,000$
UFA
Lien / Lien NHL
Filip ChytilBluesC271999-09-05No210 Lbs6 ft2NoNoYes3Pro & Farm3,500,000$3,500,000$3,305,556$No3,500,000$3,500,000$
UFA
Lien / Lien NHL
Ilya SorokinBluesG311995-08-04No190 Lbs6 ft3YesNoYes8Pro Only1$1$1$No8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$Lien / Lien NHL
Ivan ProvorovBluesD291997-01-13No224 Lbs6 ft1NoNoYes4Pro Only6,000,000$6,000,000$5,666,667$No6,000,000$6,000,000$6,000,000$
UFA
Lien / Lien NHL
John MarinoBluesD291997-05-21No200 Lbs6 ft1NoNoYes3Pro & Farm3,900,000$3,900,000$3,683,333$No3,900,000$3,900,000$
UFA
Lien / Lien NHL
Jonathan DrouinBluesRW311995-03-28No189 Lbs5 ft11NoNoYes5Pro & Farm4,500,000$4,500,000$4,250,000$No4,500,000$4,500,000$4,500,000$4,500,000$
UFA
Lien / Lien NHL
Marcus JohanssonBluesLW361990-10-06No203 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$2,000,000$1,888,889$No
UFA
Lien / Lien NHL
Nic DowdBluesC361990-05-27No195 Lbs6 ft2YesNoYes4Pro & Farm2,200,000$2,200,000$2,077,778$No2,200,000$2,200,000$2,200,000$
UFA
Lien / Lien NHL
Nick SchmaltzBluesC301996-02-23No184 Lbs6 ft0NoNoYes4Pro Only6,375,000$6,375,000$6,020,833$No6,375,000$6,375,000$6,375,000$
UFA
Lien / Lien NHL
Radek FaksaBluesC321994-01-09No216 Lbs6 ft3NoNoYes1Pro & Farm2,500,000$2,500,000$2,361,111$No
UFA
Lien / Lien NHL
Radko GudasBluesD361990-06-05No208 Lbs6 ft0YesNoYes4Pro & Farm4,000,000$4,000,000$3,777,778$No4,000,000$4,000,000$4,000,000$
UFA
Lien / Lien NHL
Sam ReinhartBluesRW311995-11-06No196 Lbs6 ft1NoNoYes2Pro Only7,200,000$7,200,000$6,800,000$No7,200,000$
UFA
Lien / Lien NHL
Samuel GirardBluesD281998-05-12No170 Lbs5 ft10NoNoYes1Pro Only5,000,000$5,000,000$4,722,222$No
UFA
Lien / Lien NHL
Scott LaughtonBluesRW321994-05-30No190 Lbs6 ft1NoNoYes2Pro & Farm3,500,000$3,500,000$3,305,556$No3,500,000$
UFA
Lien / Lien NHL
Taylor HallBluesRW351991-11-14No210 Lbs6 ft1NoNoYes2Pro & Farm3,750,000$3,750,000$3,541,667$No3,750,000$
UFA
Lien / Lien NHL
William CarrierBluesLW321994-12-20No214 Lbs6 ft2NoNoYes2Pro & Farm2,350,000$2,350,000$2,219,444$No2,350,000$
UFA
Lien / Lien NHL
Zach HymanBluesLW341992-06-09No206 Lbs6 ft1NoNoYes2Pro Only7,000,000$7,000,000$6,611,111$No7,000,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2132.00199 Lbs6 ft12.864,246,429$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
89,175,001$78,175,000$49,975,000$37,575,000$19,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandNick SchmaltzSam Reinhart40122
2Zach HymanBoone JennerTaylor Hall30122
3Marcus JohanssonNic DowdJonathan Drouin20122
4William CarrierRadek FaksaScott Laughton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ivan ProvorovJohn Marino40122
2Darnell NurseRadko Gudas30122
3Christopher TanevSamuel Girard20122
4Ivan ProvorovJohn Marino10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandNick SchmaltzSam Reinhart60122
2Zach HymanBoone JennerTaylor Hall40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan DrouinJohn Marino60122
2Darnell NurseIvan Provorov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nic DowdTaylor Hall60122
2Radek FaksaScott Laughton40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ivan ProvorovJohn Marino60122
2Darnell NurseRadko Gudas40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nick Schmaltz60122Ivan ProvorovJohn Marino60122
2Boone Jenner40122Darnell NurseRadko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick SchmaltzBrad Marchand60122
2Boone JennerZach Hyman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ivan ProvorovJohn Marino60122
2Darnell NurseRadko Gudas40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandNick SchmaltzSam ReinhartIvan ProvorovJohn Marino
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandNick SchmaltzSam ReinhartIvan ProvorovJohn Marino
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Boone Jenner, Marcus Johansson, Taylor HallBoone Jenner, Marcus JohanssonBoone Jenner
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Radko Gudas, Christopher Tanev, Samuel GirardRadko GudasRadko Gudas, Christopher Tanev
Tirs de pénalité
Sam Reinhart, Brad Marchand, Nick Schmaltz, Zach Hyman, Boone Jenner
Gardien
#1 : Ilya Sorokin, #2 : Aleksei Kolosov


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
1Avalanche11000000523110000005230000000000021.00057120030204821141302868214125.00%4175.00%011221153.08%10319951.76%398744.83%2619207126
2Canucks11000000624110000006240000000000021.0006111700411040248802488155240.00%40100.00%011221153.08%10319951.76%398744.83%2215237136
3Flames11000000624110000006240000000000021.00061117002310361713603168226350.00%4175.00%011221153.08%10319951.76%398744.83%2518227126
4Kings1000000156-1000000000001000000156-110.50058130020304318419432111020200.00%5180.00%011221153.08%10319951.76%398744.83%2416278136
5Predators10001000431000000000001000100043121.00047110012014113141224588237114.29%30100.00%011221153.08%10319951.76%398744.83%2215268125
Total5300100126151133000000176112000100199090.90026447000126712089353586160394210124729.17%20385.00%011221153.08%10319951.76%398744.83%12185120396432
_Since Last GM Reset5300100126151133000000176112000100199090.90026447000126712089353586160394210124729.17%20385.00%011221153.08%10319951.76%398744.83%12185120396432
_Vs Conference5300100126151133000000176112000100199090.90026447000126712089353586160394210124729.17%20385.00%011221153.08%10319951.76%398744.83%12185120396432
_Vs Division21001000954110000005231000100043141.000914230042218934282527314164411218.18%7185.71%011221153.08%10319951.76%398744.83%493547152512

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
59W1264470208160394210100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
53010012615
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000176
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
200100199
Derniers 10 matchs
WLOTWOTL SOWSOL
301001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
24729.17%20385.00%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
935358612671
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
11221153.08%10319951.76%398744.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12185120396432


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
15Blues5Kings6ALXXSommaire du match
323Flames2Blues6BWSommaire du match
537Canucks2Blues6BWSommaire du match
639Blues4Predators3AWXSommaire du match
1074Avalanche2Blues5BWSommaire du match
1290Blues-Sabres-
14105Avalanche-Blues-
16122Blues-Blackhawks-
17133Bruins-Blues-
19148Blues-Kings-
22160Blues-Oilers-
24175Panthers-Blues-
27190Blues-Sharks-
29211Sharks-Blues-
31226Wild-Blues-
33246Blues-GoldenKnights-
34254Jets-Blues-
36267Blues-Avalanche-
38280Blues-Sharks-
40295Blues-Stars-
41303Predators-Blues-
43322Blues-Ducks-
45335Sharks-Blues-
48355Blues-Capitals-
49366Canadiens-Blues-
52388Blues-Sabres-
53399Blackhawks-Blues-
56419Canucks-Blues-
58439Blues-Oilers-
59450Blues-Stars-
62464Capitals-Blues-
66485MapleLeafs-Blues-
68506Kings-Blues-
69518Blues-Panthers-
71537Islanders-Blues-
73548Blues-Canadiens-
75565Blues-Devils-
77577Flyers-Blues-
80599Avalanche-Blues-
84624RedWings-Blues-
86641Blues-Canucks-
88656Bruins-Blues-
90669Blues-RedWings-
91681Blues-Blackhawks-
93694Sabres-Blues-
96716Stars-Blues-
97727Blues-Lightning-
100750GoldenKnights-Blues-
103776Rangers-Blues-
105788Blues-MapleLeafs-
106801Blues-Islanders-
108813Senators-Blues-
111831Blues-Bruins-
113845Flames-Blues-
116863Blues-Mammoth-
117875BlueJackets-Blues-
121901Wild-Blues-
123921Blues-Flames-
125933Mammoth-Blues-
126944Blues-Predators-
129962Blues-Jets-
130968Flames-Blues-
133994Penguins-Blues-
1341008Blues-BlueJackets-
1371026Oilers-Blues-
1381039Blues-Senators-
1401054Mammoth-Blues-
1411064Blues-Wild-
1441086Blues-Predators-
1461094Lightning-Blues-
1491114Blues-Flames-
1511125Ducks-Blues-
1521132Blues-Hurricanes-
1541147Blues-GoldenKnights-
1551157Ducks-Blues-
1571169Blues-Penguins-
1591182Blues-Flyers-
1611196Jets-Blues-
1651221Panthers-Blues-
1681231Blues-Penguins-
1711252Devils-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731265Blues-Kings-
1751278Blues-Rangers-
1791298Hurricanes-Blues-


Charte de profondeur
Ailier gaucheCentreAilier droit
Brad Marchand
Brad Marchand
AGE:38
SK:97
EN:84
DU:79
PH:88
PA:83
SC:93
DF:63
Zach Hyman
Zach Hyman
AGE:34
SK:90
EN:88
DU:83
PH:82
PA:70
SC:94
DF:72
Marcus Johansson
Marcus Johansson
AGE:36
SK:86
EN:80
DU:94
PH:72
PA:77
SC:66
DF:74
William Carrier
William Carrier
AGE:32
SK:76
EN:72
DU:91
PH:56
PA:53
SC:58
DF:67
Filip Bystedt (R)
Filip Bystedt
AGE:22
SK:79
EN:74
DU:64
PH:63
PA:68
SC:58
DF:63
Jeffrey Truchon-Viel
Jeffrey Truchon-Viel
AGE:29
SK:76
EN:74
DU:74
PH:54
PA:53
SC:55
DF:68
Daylan Kuefler
Daylan Kuefler
AGE:24
SK:75
EN:76
DU:66
PH:40
PA:38
SC:42
DF:64
Hugh McGing
Hugh McGing
AGE:28
SK:76
EN:75
DU:65
PH:44
PA:44
SC:45
DF:60
Matthew Sop (R)
Matthew Sop
AGE:23
SK:75
EN:60
DU:50
PH:44
PA:44
SC:44
DF:55
Kaleb Lawrence (R)
Kaleb Lawrence
AGE:23
SK:75
EN:60
DU:50
PH:30
PA:29
SC:30
DF:60
William Dufour
William Dufour
AGE:24
SK:75
EN:60
DU:50
PH:41
PA:39
SC:43
DF:50
Ethan Keppen
Ethan Keppen
AGE:25
SK:75
EN:60
DU:50
PH:31
PA:24
SC:37
DF:58
Nick Schmaltz
Nick Schmaltz
AGE:30
SK:93
EN:87
DU:99
PH:82
PA:81
SC:83
DF:82
Boone Jenner
Boone Jenner
AGE:33
SK:83
EN:82
DU:89
PH:68
PA:71
SC:66
DF:79
Radek Faksa
Radek Faksa
AGE:32
SK:76
EN:74
DU:83
PH:57
PA:61
SC:53
DF:86
Nic Dowd
Nic Dowd
AGE:36
SK:77
EN:79
DU:94
PH:56
PA:57
SC:55
DF:76
Nick Cousins
Nick Cousins
AGE:33
SK:80
EN:74
DU:98
PH:57
PA:54
SC:59
DF:68
Michael Eyssimont
Michael Eyssimont
AGE:30
SK:80
EN:73
DU:81
PH:58
PA:55
SC:62
DF:64
Calle Jarnkrok
Calle Jarnkrok
AGE:35
SK:77
EN:74
DU:81
PH:51
PA:43
SC:59
DF:71
Filip Chytil
Filip Chytil
AGE:27
SK:76
EN:80
DU:51
PH:55
PA:40
SC:71
DF:64
Nils Aman
Nils Aman
AGE:26
SK:78
EN:64
DU:54
PH:56
PA:70
SC:39
DF:59
Rasmus Kupari
Rasmus Kupari
AGE:26
SK:75
EN:60
DU:50
PH:51
PA:44
SC:57
DF:55
Sam Reinhart
Sam Reinhart
AGE:31
SK:92
EN:90
DU:87
PH:84
PA:81
SC:87
DF:80
Taylor Hall
Taylor Hall
AGE:35
SK:84
EN:79
DU:98
PH:70
PA:71
SC:68
DF:66
Scott Laughton
Scott Laughton
AGE:32
SK:80
EN:79
DU:87
PH:58
PA:49
SC:67
DF:79
Jonathan Drouin
Jonathan Drouin
AGE:31
SK:82
EN:83
DU:87
PH:60
PA:66
SC:55
DF:70
Conor Sheary
Conor Sheary
AGE:34
SK:82
EN:78
DU:85
PH:57
PA:55
SC:59
DF:76
Pierrick Dube
Pierrick Dube
AGE:25
SK:77
EN:60
DU:50
PH:49
PA:51
SC:47
DF:60
Lukas Rousek
Lukas Rousek
AGE:27
SK:76
EN:60
DU:50
PH:49
PA:60
SC:38
DF:51
Cameron Butler
Cameron Butler
AGE:24
SK:75
EN:60
DU:50
PH:28
PA:20
SC:35
DF:57

Défense #1Défense #2Gardien
Ivan Provorov
Ivan Provorov
AGE:29
SK:80
EN:91
DU:99
PH:63
PA:62
SC:64
DF:82
John Marino
John Marino
AGE:29
SK:82
EN:84
DU:98
PH:64
PA:73
SC:56
DF:82
Darnell Nurse
Darnell Nurse
AGE:31
SK:76
EN:84
DU:99
PH:59
PA:57
SC:61
DF:77
Radko Gudas
Radko Gudas
AGE:36
SK:78
EN:77
DU:81
PH:55
PA:56
SC:54
DF:77
Christopher Tanev
Christopher Tanev
AGE:37
SK:75
EN:79
DU:51
PH:52
PA:55
SC:50
DF:96
Troy Stecher
Troy Stecher
AGE:32
SK:80
EN:82
DU:87
PH:55
PA:54
SC:56
DF:77
Samuel Girard
Samuel Girard
AGE:28
SK:83
EN:80
DU:84
PH:59
PA:62
SC:56
DF:71
Cal Foote
Cal Foote
AGE:28
SK:75
EN:55
DU:50
PH:42
PA:44
SC:40
DF:70
Braden Hache (R)
Braden Hache
AGE:23
SK:75
EN:76
DU:71
PH:32
PA:29
SC:35
DF:63
Jett Woo
Jett Woo
AGE:26
SK:75
EN:55
DU:50
PH:35
PA:35
SC:36
DF:50
Isaac Belliveau (R)
Isaac Belliveau
AGE:24
SK:84
EN:55
DU:50
PH:32
PA:31
SC:33
DF:51
Layton Ahac
Layton Ahac
AGE:25
SK:75
EN:55
DU:50
PH:28
PA:26
SC:30
DF:50
Ilya Sorokin
Ilya Sorokin
AGE:31
SK:92
AG:88
RB:87
SC:88
HS:91
RT:90
DF:90
Ivan Fedotov (R)
Ivan Fedotov
AGE:30
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Simon Zajicek (R)
Simon Zajicek
AGE:25
SK:70
AG:59
RB:60
SC:51
HS:55
RT:56
DF:55
Aleksei Kolosov (R)
Aleksei Kolosov
AGE:24
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2042
2043



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
1Jared Spurgeon762196467663-1094174791465193410.13%13431855224.351261682941274112133322130.00%50.7102
2Alan Letang1308223419642-598201731177624409.14%8212302717.6048871352424101452301855.08%20.561031
3Mika Zibanejad708186282468-1055951133123019319.63%1401346819.0249127176487381148191051.38%20.691137
4Sam Reinhart404208237445131147360813162912.77%61806419.96531041574180008411052.42%51.10013
5Nick Schmaltz4741652784436040781035150910.93%91924019.50361101463645492423650.08%60.96317

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
1John Gibson387200130360.8983.0822076281211341115302050.754171
2Roberto Luongo359117200220.8973.662017749101229119090870.693101
3Ilya Sorokin1681104980.9042.88982714647249020940.80631
4Juuse Saros19710667170.9032.9911573128576593201010.73861
5Devan Dubnyk1437251180.9102.90850614141145431903820.72892

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
20178231400025425724710411421001321271261411719001221301219642574126691006010092258707848898932509810132219522895017.30%2634981.37%71000199350.18%994208347.72%688136650.37%1789101518338201507762
201882323404543230237-741132101411104128-24411913031321261091777230366596040569274250707819397622510808107420622284419.30%2554383.14%5946193848.81%999201949.48%688135550.77%167190817507831554757
201982302905468237244-741151602242120125-541151303226117119-274237375612120447910325280650870956261079789016362285423.68%2154380.00%31029201651.04%988207047.73%581118549.03%163086918077811563782
202082293502286235267-3241171601043130135-541121901243105132-2764235368603000597789257207429898112605904115317302374619.41%2314281.82%11076208851.53%1052208950.36%667127852.19%165188918067751539769
202182274204225210255-4541142001114112126-144113220311198129-3164210380590230648060231807787827312562766118918844247417.45%4808482.50%31524286053.29%1444316345.65%645125551.39%1853124320796321036506
202282214807042217265-4841112105031121138-174110270201196127-3156217386603330686573230207687337722777789105719374356414.71%4438880.14%31415291948.48%1478327645.12%593127546.51%1847123720836321029502
202382264601144220323-10341142101122111154-4341122500022109169-6055220385605230847061242208097628313007845126820024348419.35%52012176.73%21534300151.12%1605341746.97%686135150.78%1734112622046491027490
202482125602237215369-1544192401115111163-524133201122104206-10243215380595320756768216507056897443159873128420423748221.93%55713975.04%61246273345.59%1522345744.03%593139942.39%1709110322246531048490
202582126100324181363-182414310031288188-100418300001293175-8235181320501210556064213206986817423133902140121943745213.90%60415274.83%41062266239.89%1333348438.26%539131341.05%1747113621716421038485
202682245000260257362-10541181800230140158-184163200030117204-8762257451708110958670233607707667933104902142021233697520.33%59716472.53%41242281044.20%1368345539.59%601141542.47%1753115621826321019477
202782165005245233363-1304172802202113189-764192203043120174-5457233411644100827963231408227347332943822120320954038721.59%51614372.29%61100281939.02%1266316240.04%522140337.21%1789118121446411044497
20308235300534528025624412111030331551233241141902312125133-8962804947742109110080280708599739372436721974184144310122.80%4168380.05%61677322751.97%1530294351.99%628130348.20%1947131719796311053523
20318239240326829224943412310012231391033641161402045153146710629252081200010294872775085592595424897781056182842510023.53%4268081.22%11668319152.27%1543304350.71%648130149.81%2025139419396181036520
20328241240337427021753412211011511289830411913022231421192310927046973917098818125930801881879227767084317424047117.57%3474886.17%41578303551.99%1435276751.86%667128951.75%2135149618185991033536
203382551703421344211133412970122018910782412610022011551045112534462096414013110510328150933931933219460977516764399722.10%3146080.89%41696316753.55%1408265053.13%683130252.46%2195155917295791031546
2034824326034332952395641231201221144102424120140221215113714105295523818040116878628090917918944242265397917794259121.41%4065686.21%101737314355.27%1542288453.47%716133953.47%2034140318846131040526
20358235330444226725413411915031211451261941161801321122128-6922674827491401158262263209069147922645778103617943895814.91%4147083.09%51631300354.31%1463307947.52%678131151.72%1988137019526011027514
20368233310574229027911411718004111431367411613053311471434932905047940301099478269508699398492550779102816724449320.95%4227582.23%61603302652.97%1493291051.31%673133450.45%2016139619336101031514
203782472107313341263784123140210117313835412470521216812543116341601942321331029882727898906889562563763913178043610223.39%3958279.24%61507295850.95%1406301946.57%649128250.62%2046143818995921014520
20388255210114035322013341231501020162120424132600120191100911213536199722614397108730471052982991392487680917177645410523.13%3956982.53%41780330453.87%1507292551.52%740135754.53%2083145518366001027528
203982413003422282260224121140122114412618412016022011381344982825057872010997715275689195988730248773095518913938421.37%3967381.57%41625305153.26%1468292750.15%687128253.59%1995138219246091031518
204053001001261511330000001761120001001990926447000126712089353586160394210124729.17%20385.00%011221153.08%10319951.76%398744.83%12185120396432
Total Saison régulière172768774806860857955325758-22686436036402832443628162815186332738404028414327162943-227172155329615151472850397180617821415540472934173471814015187556291641822779395378071162120.08%8632176779.53%94297885915550.36%289476102147.44%136112778248.99%397672616841307137412380311803
Séries éliminatoires
2019734000001921-231200000912-342200000109161932510004771970478160248695614413538.46%15193.33%18116150.31%9519249.48%459547.37%135681717214472
2030137600000363606420000019172734000001719-21436661020101012143710110109142446140185330711521.13%801285.00%021949843.98%27953951.76%8821041.90%28918734710417283
203118108000006061-1945000002936-7963000003125620601021620002019195810195178191585166201404892426.97%861681.40%130866446.39%31367646.30%17030855.19%435296449136233117
20321510500000643925844000003626107610000028131520641161800002525145090159162153431115141320961515.63%641379.69%030260050.33%27256847.89%13526850.37%412289350115195105
203311650000043331063300000221755320000021165124380123000132184110118151130323104111244681319.12%45784.44%023948249.59%18437049.73%8818846.81%3032112418214274
2034514000001820-230300000812-421100000108221832500004861580396257172556011326726.92%29775.86%110218654.84%10118554.59%479251.09%12082113366532
2035624000001719-232100000119230300000610-441728451006561850586655180608215424520.83%33681.82%111623050.43%11423149.35%5310351.46%13993154457536
2036514000001316-32020000047-3312000009902132437000382145049563818369589917211.76%29582.76%07716646.39%9419548.21%408547.06%11376127376230
20371511400000595187520000031274862000002824422591061650019231525371871961468502151163326881517.05%58984.48%127557647.74%25355745.42%11925546.67%38226934310918794
2038241680000011297151385000006055511830000052421032112198310004031401848263284288137762203165151363827.94%1313573.28%050593254.18%42887448.97%23843354.97%585404574177303153
20391798000004648-2936000001927-886200000272161846811271010191614611441541585544176220358851517.65%911979.12%027957448.61%30765347.01%11323448.29%394265425133213105
Total Séries éliminatoires1367660000004874414669343500000248245367422500000239196431524878651352216915817680440359414091457852439013251593300771315421.60%66113080.33%52503506949.38%2440504048.41%1136227150.02%33132246329910521796906

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
1Sam Reinhart804542875236917730414.80%25173321.671318316300049249.23%01.0000
2Zach Hyman58244064532855822910.48%9130922.57916256000024232.39%00.9800
3Nick Schmaltz72184260917121651889.57%14140819.57512173601136150.47%00.8500
4Claude Giroux37193756582812111616.38%1685323.06716232900024256.36%01.3100
5Brad Marchand56183250-1481398417510.29%13119121.28612185201134028.57%00.8400

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
1John Gibson55311860.9052.9033950116417180300.0000
2Ilya Sorokin41251330.8923.4124658014013000210.0000
3Connor Hellebuyck1511300.8993.2285800464570000.0000
4Devan Dubnyk73220.9152.794510021248108100.0000
5Juuse Saros113530.9063.0467200343620010.0000