Connexion

La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.
Centre de jeu
Wild
1-2-0, 2pts
4
FINAL
3 Blues
2-1-0, 4pts
Team Stats
L1StreakW1
0-1-0Home Record1-1-0
1-1-0Away Record1-0-0
1-2-0Last 10 Games2-0-1
3.33Goals Per Game3.67
3.67Goals Against Per Game3.33
29.41%Power Play Percentage11.11%
88.89%Penalty Kill Percentage70.59%
Blues
2-1-0, 4pts
5
FINAL
4 Wild
1-2-0, 2pts
Team Stats
W1StreakL1
1-1-0Home Record0-1-0
1-0-0Away Record1-1-0
2-0-1Last 10 Games1-2-0
3.67Goals Per Game3.33
3.33Goals Against Per Game3.67
11.11%Power Play Percentage29.41%
70.59%Penalty Kill Percentage88.89%
Blues
2-1-0, 4pts
Jour 8
Wild
1-2-0, 2pts
Stats Équipe
W1SéquenceL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-0-110 derniers matchs1-2-0
3.67Buts par match 3.33
3.33Buts contre par match 3.67
11.11%Pourcentage en avantage numérique29.41%
70.59%Pourcentage en désavantage numérique88.89%
Wild
1-2-0, 2pts
Jour 10
Blues
2-1-0, 4pts
Stats Équipe
L1SéquenceW1
0-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-0-0
1-2-010 derniers matchs2-0-1
3.33Buts par match 3.67
3.67Buts contre par match 3.33
29.41%Pourcentage en avantage numérique11.11%
88.89%Pourcentage en désavantage numérique70.59%
Blues
2-1-0, 4pts
Jour 12
Wild
1-2-0, 2pts
Stats Équipe
W1SéquenceL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-0-110 derniers matchs1-2-0
3.67Buts par match 3.33
3.33Buts contre par match 3.67
11.11%Pourcentage en avantage numérique29.41%
70.59%Pourcentage en désavantage numérique88.89%
Meneurs d'équipe
Sam ReinhartButs
Sam Reinhart
3
Taylor HallPasses
Taylor Hall
3
Sam ReinhartPoints
Sam Reinhart
4
Sam ReinhartPlus/Moins
Sam Reinhart
3
Ilya SorokinVictoires
Ilya Sorokin
2
Ilya SorokinPourcentage d’arrêts
Ilya Sorokin
0.901

Stats Équipe
Buts pour
11
3.67 GFG
Tirs pour
75
25.00 Avg
Pourcentage en avantage numérique
11.1%
1 GF
Début de zone offensive
36.7%
Buts contre
10
3.33 GAA
Tirs contre
101
33.67 Avg
Pourcentage en désavantage numérique
70.6%
5 GA
Début de la zone défensive
45.8%

Blessure/Suspension
John Marino


John Marino

est dehors pour 1 semaine à cause de Bruised Right Leg Injury.
Information d’équipe
Directeur généralMaxime Barabe
EntraîneurTodd McLellan
DivisionCentral
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Uniformes
Informations de l’aréna
NomAnheuser-Busch Center
Capacité25,000
Assistance23,034
Billets de saison10,000
Information formation
Équipe Pro22
Équipe Mineure23
Limite contact 45 / 50
Espoirs2
Plafond salarial
Cap Salarial de la Saison estimé0$
Plafond salarial disponible90,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour4,062,225$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel283,144,987$
Compte bancaire projeté283,144,987$
Historique d'équipe
Saison actuelle2-1
Historique836-748-145 (0.484%)
Apparitions séries éliminatoires 10
Historique séries éliminatoires (W-L)69-53
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
1Sam ReinhartX100.0071518394618997877684908981828645508103031$
2Nick SchmaltzX100.0044448790538699778483706977808350537402956,375,000$
3Boone JennerX100.0079518786678461758678728260868535687403245,000,000$
4Brad MarchandX100.0067407290458592744072777262969110657303728,750,000$
5Taylor HallX100.0053528183688096678166697264908525687103433,750,000$
6Zach HymanX100.0059518184668693704059807040888730657103337,000,000$
7Warren FoegeleX100.0061518483678299684062748240808150657102913,500,000$
8Nic DowdX100.0077487679608099598553649040928620657003552,200,000$
9Ross ColtonX100.0096478483587985647557726890808050656902913,500,000$
10Keegan KolesarX100.0099717778737799604058627040787855686802811,900,000$
11Lars EllerX100.0057528177697798568752606873948615656603612,750,000$
12William CarrierX100.0099558375757472554053586640847940296403132,350,000$
13Darnell NurseX100.0090677179778795644070588140828545657603017,500,000$
14Kristopher LetangX100.007847768358899464406365827198945657503825,500,000$
15Ivan ProvorovX100.0048558281708999634066618740788455527402856,000,000$
16Radko GudasX100.0099556977658398534055528140928820577303554,000,000$
17Christopher TanevX100.0046518476678294564056558640948815687103634,400,000$
18Louis CrevierX100.009163847591796552404362744070757566690241600,000$
Rayé
1Jimmy VeseyX100.0057519075677272534046606270867935216103212,500,000$
2John MarinoX87.5346498981638567624070547840788255406902843,900,000$
Équipe Mineure
1Conor ShearyX100.004839828744685867407058704088783046640332900,000$
2Nick CousinsX100.008048748152747757405560666986803546640322850,000$
3Drake CaggiulaX100.006240688251716159405762709084784059630311900,000$
4Jakub VranaX100.0051488581607270604051695776807650466202911,000,000$
5Michael EyssimontX100.0073547478577296544047606340807650466202921,250,000$
6Rasmus KupariX100.0071518575667283518844576740727270466102511,224,000$
7Nils AmanX100.006745887955725658736254624072727046610251900,000$
8Filip Bystedt (R)X100.007756808272605050405150694064629046590213925,000$
9Nick BoninoX100.0045498675626050508647526476967810415803722,000,000$
10Lukas RousekX100.004840787660817149406038614074786546580262750,000$
11Adam CracknellX100.006347877573605049404455514099800355704011,900,000$
12Hugh McGingX100.0050717277437767464044476640767760265602721,750,000$
13Jasper WeatherbyX100.0064587875776050417036455940766860415402711,550,000$
14Calvin deHaanX100.007547857659747552405450684090822546660341975,000$
15Ryan SheaX100.0052548375737770514046567640787855466502821,100,000$
16Troy StecherX100.0052458278497388504045566540847940466303121,750,000$
17Jacob BrysonX100.0047408679447476514052506540787655466102812,000,000$
18Jett WooX100.0074496375647166374040347099727270466102511,200,000$
19William DufourX100.004745707573665641403943504068678022520231925,000$
MOYENNE D’ÉQUIPE99.67665180806376785852565970538380435166
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 Sorokin99.009299999687868790898984828445518803016,000,000$
2Ilya Samsonov100.008265699373696971706884787455827302812,900,000$
Rayé
Équipe Mineure
1Aaron Dell100.00815060895050505050508794721568600361575,000$
2Martin Jones100.00855060955050505050505092712068600352900,000$
3Landon Bow100.00755060965050505050508382664524580301600,000$
4Beck Warm100.00775060805050505050504074626524560261600,000$
MOYENNE D’ÉQUIPE99.8382616892605959606060718472415366
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan76797897938954CAN5833,000,000$


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 ReinhartBluesRW331435527133623.08%16923.16000380000161059.38%3200001.1500010001
2Taylor HallBluesRW3033300185470.00%13511.680000000000000.00%000001.7100000000
3Boone JennerBluesC31233953861616.67%06722.37000080000140059.72%7200000.8900100000
4Louis CrevierBluesD3033380622050.00%14414.960000000001000.00%000001.3400000000
5Radko GudasBluesD303321201423220.00%36020.010002700006000.00%000001.0000000000
6Christopher TanevBluesD3022300024010.00%36220.9900016000010000.00%000000.6400000000
7Nic DowdBluesC32023003894422.22%23411.6300000000000061.36%4400001.1500000100
8Nick SchmaltzBluesC311210011342325.00%05518.6300007000060065.22%6900000.7200000000
9Darnell NurseBluesD30220195624040.00%16722.6101127000012000.00%000000.5900010000
10Zach HymanBluesLW320210033113618.18%15016.9300027000021175.00%400000.7900000010
11Ivan ProvorovBluesD1011100000000.00%12121.850000100001000.00%000000.9200000000
12Kristopher LetangBluesD3011040320330.00%67625.6401108000013000.00%000000.2600000000
13Warren FoegeleBluesRW31011205353520.00%24816.011012700000000.00%100000.4200000010
14Ross ColtonBluesLW310120073111100.00%13511.9300000000040140.00%500000.5600000001
15John MarinoBluesD2000100040000.00%12713.530000000004000.00%000000.0000000000
16Keegan KolesarBluesRW3000-200003330.00%0217.01000000000000100.00%100000.0000000000
17Brad MarchandBluesLW3000340304060.00%05919.9800008000050033.33%300000.0000000000
18Lars EllerBluesC3000-200020320.00%0206.8700000000000055.00%2000000.0000000000
19William CarrierBluesLW3000-200101030.00%0206.870000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne54111930246315586975326714.67%2488016.31123127700001002260.56%25100000.6800120122
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 SorokinBlues32010.9013.3018200101010000.000030100
Statistiques d’équipe totales ou en moyenne32010.9013.3018200101010000.000030100


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Boone JennerBluesC321993-06-15No203 Lbs6 ft2NoNoYes4Pro Only5,000,000$5,000,000$2,857,143$No5,000,000$5,000,000$5,000,000$
UFA
Lien / Lien NHL
Brad MarchandBluesLW371988-05-11No180 Lbs5 ft9NoNoYes2Pro Only8,750,000$8,750,000$5,000,000$No8,750,000$
UFA
Lien / Lien NHL
Christopher TanevBluesD361989-12-20No199 Lbs6 ft3NoNoYes3Pro & Farm4,400,000$4,400,000$2,514,286$No4,400,000$4,400,000$
UFA
Lien / Lien NHL
Darnell NurseBluesD301995-02-04No215 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$4,285,714$No
UFA
Lien / Lien NHL
Ilya SamsonovBluesG281997-02-22No200 Lbs6 ft3NoNoYes1Pro & Farm2,900,000$2,900,000$1,657,143$No
UFA
Lien / Lien NHL
Ilya SorokinBluesG301995-08-04No190 Lbs6 ft3NoNoYes1Pro Only6,000,000$6,000,000$3,428,571$No
UFA
Lien / Lien NHL
Ivan ProvorovBluesD281997-01-13No213 Lbs6 ft1NoNoYes5Pro Only6,000,000$6,000,000$3,428,571$No6,000,000$6,000,000$6,000,000$6,000,000$
UFA
Lien / Lien NHL
Jimmy VeseyBluesRW321993-05-26No203 Lbs6 ft2NoNoYes1Pro & Farm2,500,000$2,500,000$1,428,571$No
UFA
Lien / Lien NHL
John Marino (sur la masse salariale)BluesD281997-05-21No200 Lbs6 ft1NoNoYes4Pro & Farm3,900,000$3,900,000$2,228,571$No3,900,000$3,900,000$3,900,000$
UFA
Lien / Lien NHL
Keegan KolesarBluesRW281997-04-08No216 Lbs6 ft2NoNoNo1Pro & Farm1,900,000$1,900,000$1,085,714$No
UFA
Lien / Lien NHL
Kristopher LetangBluesD381987-04-24No193 Lbs6 ft0NoNoYes2Pro Only5,500,000$5,500,000$3,142,857$No5,500,000$
UFA
Lien / Lien NHL
Lars EllerBluesC361989-05-08No208 Lbs6 ft2NoNoYes1Pro & Farm2,750,000$2,750,000$1,571,429$No
UFA
Lien / Lien NHL
Louis CrevierBluesD242001-05-04No228 Lbs6 ft8NoNoNo1Pro & Farm600,000$600,000$342,857$No
RFA
Lien / Lien NHL
Nic DowdBluesC351990-05-27No190 Lbs6 ft2YesNoYes5Pro & Farm2,200,000$2,200,000$1,257,143$No2,200,000$2,200,000$2,200,000$2,200,000$
UFA
Lien / Lien NHL
Nick SchmaltzBluesC291996-02-23No184 Lbs6 ft0NoNoYes5Pro Only6,375,000$6,375,000$3,642,857$No6,375,000$6,375,000$6,375,000$6,375,000$
UFA
Lien / Lien NHL
Radko GudasBluesD351990-06-05No208 Lbs6 ft0YesNoYes5Pro & Farm4,000,000$4,000,000$2,285,714$No4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Lien / Lien NHL
Ross ColtonBluesLW291996-09-11No194 Lbs6 ft0NoNoYes1Pro & Farm3,500,000$3,500,000$2,000,000$No
UFA
Lien / Lien NHL
Sam ReinhartBluesRW301995-11-06No196 Lbs6 ft1YesNoYes3Pro Only1$1$1$No7,200,000$7,200,000$
UFA
Lien / Lien NHL
Taylor HallBluesRW341991-11-14No210 Lbs6 ft1NoNoYes3Pro & Farm3,750,000$3,750,000$2,142,857$No3,750,000$3,750,000$
UFA
Lien / Lien NHL
Warren FoegeleBluesRW291996-04-01No204 Lbs6 ft2NoNoYes1Pro & Farm3,500,000$3,500,000$2,000,000$No
UFA
Lien / Lien NHL
William CarrierBluesLW311994-12-20No220 Lbs6 ft2NoNoYes3Pro & Farm2,350,000$2,350,000$1,342,857$No2,350,000$2,350,000$
UFA
Lien / Lien NHL
Zach HymanBluesLW331992-06-09No206 Lbs6 ft1NoNoYes3Pro Only7,000,000$7,000,000$4,000,000$No7,000,000$7,000,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2231.45203 Lbs6 ft22.554,107,955$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
90,375,001$66,425,000$52,175,000$27,475,000$18,575,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandBoone JennerSam Reinhart40122
2Zach HymanNick SchmaltzWarren Foegele30122
3Ross ColtonNic DowdTaylor Hall20122
4William CarrierLars EllerKeegan Kolesar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang40122
2Ivan ProvorovRadko Gudas30122
3Christopher TanevLouis Crevier20122
4Darnell NurseKristopher Letang10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandBoone JennerSam Reinhart60122
2Zach HymanNick SchmaltzWarren Foegele40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam ReinhartBoone Jenner60122
2Nick SchmaltzBrad Marchand40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Reinhart60122Darnell NurseKristopher Letang60122
2Boone Jenner40122Ivan ProvorovRadko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam ReinhartBoone Jenner60122
2Nick SchmaltzBrad Marchand40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandBoone JennerSam ReinhartDarnell NurseKristopher Letang
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandBoone JennerSam ReinhartDarnell NurseKristopher Letang
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nic Dowd, Taylor Hall, Ross ColtonNic Dowd, Taylor HallRoss Colton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christopher Tanev, Louis Crevier, Ivan ProvorovChristopher TanevLouis Crevier, Ivan Provorov
Tirs de pénalité
Sam Reinhart, Boone Jenner, Nick Schmaltz, Brad Marchand, Zach Hyman
Gardien
#1 : Ilya Sorokin, #2 : Ilya Samsonov


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
1Wild3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
Total3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
_Since Last GM Reset3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
_Vs Conference3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
_Vs Division3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34W11119307510124635800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
32100001110
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000066
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000054
Derniers 10 matchs
WLOTWOTL SOWSOL
200100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9111.11%17570.59%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
15303002540
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
549258.70%7211562.61%264459.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
674576233818


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
26Wild2Blues3BWSommaire du match
414Wild4Blues3BLXSommaire du match
622Blues5Wild4AWSommaire du match
830Blues-Wild-
1038Wild-Blues-
1246Blues-Wild-
1454Wild-Blues-


Charte de profondeur
Ailier gaucheCentreAilier droit
Brad Marchand
Brad Marchand
AGE:37
SK:90
EN:85
DU:92
PH:74
PA:72
SC:77
DF:72
Zach Hyman
Zach Hyman
AGE:33
SK:84
EN:86
DU:93
PH:70
PA:59
SC:80
DF:70
Ross Colton
Ross Colton
AGE:29
SK:83
EN:79
DU:85
PH:64
PA:57
SC:72
DF:68
William Carrier
William Carrier
AGE:31
SK:75
EN:74
DU:72
PH:55
PA:53
SC:58
DF:66
Drake Caggiula
Drake Caggiula
AGE:31
SK:82
EN:71
DU:61
PH:59
PA:57
SC:62
DF:70
Jakub Vrana
Jakub Vrana
AGE:29
SK:81
EN:72
DU:70
PH:60
PA:51
SC:69
DF:57
Filip Bystedt (R)
Filip Bystedt
AGE:21
SK:82
EN:60
DU:50
PH:50
PA:51
SC:50
DF:69
Adam Cracknell
Adam Cracknell
AGE:40
SK:75
EN:60
DU:50
PH:49
PA:44
SC:55
DF:51
Hugh McGing
Hugh McGing
AGE:27
SK:77
EN:77
DU:67
PH:46
PA:44
SC:47
DF:66
William Dufour
William Dufour
AGE:23
SK:75
EN:66
DU:56
PH:41
PA:39
SC:43
DF:50
Nick Schmaltz
Nick Schmaltz
AGE:29
SK:90
EN:86
DU:99
PH:77
PA:83
SC:70
DF:69
Boone Jenner
Boone Jenner
AGE:32
SK:86
EN:84
DU:61
PH:75
PA:78
SC:72
DF:82
Nic Dowd
Nic Dowd
AGE:35
SK:79
EN:80
DU:99
PH:59
PA:53
SC:64
DF:90
Lars Eller
Lars Eller
AGE:36
SK:77
EN:77
DU:98
PH:56
PA:52
SC:60
DF:68
Nick Cousins
Nick Cousins
AGE:32
SK:81
EN:74
DU:77
PH:57
PA:55
SC:60
DF:66
Michael Eyssimont
Michael Eyssimont
AGE:29
SK:78
EN:72
DU:96
PH:54
PA:47
SC:60
DF:63
Rasmus Kupari
Rasmus Kupari
AGE:25
SK:75
EN:72
DU:83
PH:51
PA:44
SC:57
DF:67
Nils Aman
Nils Aman
AGE:25
SK:79
EN:72
DU:56
PH:58
PA:62
SC:54
DF:62
Nick Bonino
Nick Bonino
AGE:37
SK:75
EN:60
DU:50
PH:50
PA:47
SC:52
DF:64
Jasper Weatherby
Jasper Weatherby
AGE:27
SK:75
EN:60
DU:50
PH:41
PA:36
SC:45
DF:59
Sam Reinhart
Sam Reinhart
AGE:30
SK:94
EN:89
DU:97
PH:87
PA:84
SC:90
DF:89
Warren Foegele
Warren Foegele
AGE:29
SK:83
EN:82
DU:99
PH:68
PA:62
SC:74
DF:82
Taylor Hall
Taylor Hall
AGE:34
SK:83
EN:80
DU:96
PH:67
PA:66
SC:69
DF:72
Keegan Kolesar
Keegan Kolesar
AGE:28
SK:78
EN:77
DU:99
PH:60
PA:58
SC:62
DF:70
Conor Sheary
Conor Sheary
AGE:33
SK:87
EN:68
DU:58
PH:67
PA:70
SC:58
DF:70
Jimmy Vesey
Jimmy Vesey
AGE:32
SK:75
EN:72
DU:72
PH:53
PA:46
SC:60
DF:62
Lukas Rousek
Lukas Rousek
AGE:26
SK:76
EN:81
DU:71
PH:49
PA:60
SC:38
DF:61

Défense #1Défense #2Gardien
Darnell Nurse
Darnell Nurse
AGE:30
SK:79
EN:87
DU:95
PH:64
PA:70
SC:58
DF:81
Kristopher Letang
Kristopher Letang
AGE:38
SK:83
EN:89
DU:94
PH:64
PA:63
SC:65
DF:82
Ivan Provorov
Ivan Provorov
AGE:28
SK:81
EN:89
DU:99
PH:63
PA:66
SC:61
DF:87
Radko Gudas
Radko Gudas
AGE:35
SK:77
EN:83
DU:98
PH:53
PA:55
SC:52
DF:81
Christopher Tanev
Christopher Tanev
AGE:36
SK:76
EN:82
DU:94
PH:56
PA:56
SC:55
DF:86
Louis Crevier
Louis Crevier
AGE:24
SK:75
EN:79
DU:65
PH:52
PA:43
SC:62
DF:74
John Marino
John Marino
AGE:28
SK:81
EN:85
DU:67
PH:62
PA:70
SC:54
DF:78
Calvin deHaan
Calvin deHaan
AGE:34
SK:76
EN:74
DU:75
PH:52
PA:54
SC:50
DF:68
Ryan Shea
Ryan Shea
AGE:28
SK:75
EN:77
DU:70
PH:51
PA:46
SC:56
DF:76
Troy Stecher
Troy Stecher
AGE:31
SK:78
EN:73
DU:88
PH:50
PA:45
SC:56
DF:65
Jett Woo
Jett Woo
AGE:25
SK:75
EN:71
DU:66
PH:37
PA:40
SC:34
DF:70
Jacob Bryson
Jacob Bryson
AGE:28
SK:79
EN:74
DU:76
PH:51
PA:52
SC:50
DF:65
Ilya Sorokin
Ilya Sorokin
AGE:30
SK:92
AG:87
RB:86
SC:87
HS:90
RT:89
DF:89
Ilya Samsonov
Ilya Samsonov
AGE:28
SK:82
AG:73
RB:69
SC:69
HS:71
RT:70
DF:68
Martin Jones
Martin Jones
AGE:35
SK:85
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Aaron Dell
Aaron Dell
AGE:36
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Landon Bow
Landon Bow
AGE:30
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Beck Warm
Beck Warm
AGE:26
SK:77
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
Jacob LeguerrierBlues2033161
Patrick HolwayBlues2032168

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2041
2042



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 Reinhart399205232437129145352801160412.78%60795519.94521031554130008411052.41%51.10012
5Nick Schmaltz4691612754365740771022148410.85%89912719.46361081443585492422650.28%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
3Juuse Saros19710667170.9032.9911573128576593201010.73861
4Ilya Sorokin1631064970.9032.89952012645847420940.86229
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
Total Saison régulière172268474806760857855065743-23786135736402832443627992809-1086132738403928414227072934-227171255069571150772850385180017751414538392841172941808215181554691637922737394368047161420.06%8612176479.52%94296765894450.35%288446082247.42%135722769549.01%396462608341186137022373911771
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
20393210000011101211000006601100000054141119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
Total Séries éliminatoires12269530000045240349623230000002352241160372300000217179381384528031255116114416479401746512851329847394711731436270763714021.98%58711680.24%52278458749.66%2205450248.98%1049208150.41%2986202529509411621819

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 Reinhart673739764195013727313.55%18140520.981016265800047251.36%01.0800
2Claude Giroux37193756582812111616.38%1685323.06716232900024256.36%01.3100
3Zach Hyman44213455528734720010.50%8105924.08812205500023233.33%01.0400
4Nick Schmaltz58163551717101241679.58%11107518.5449133301126154.83%00.9500
5Drew Doughty4694049-471151801217.44%68118125.6851823860112100.00%00.8300

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 Sorokin2718630.8803.831615601038580100.0000
3Connor Hellebuyck1511300.8993.2285800464570000.0000
4Devan Dubnyk73220.9152.794510021248108100.0000
5Juuse Saros113530.9063.0467200343620010.0000