Connexion

La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.
Centre de jeu
Predators
17-9-1, 35pts
5
FINAL
3 Blues
16-12-3, 35pts
Team Stats
W6StreakW1
9-5-0Home Record9-3-2
8-4-1Away Record7-9-1
8-2-0Last 10 Games5-3-2
4.30Goals Per Game3.32
3.85Goals Against Per Game3.35
22.70%Power Play Percentage18.75%
78.20%Penalty Kill Percentage81.62%
Blues
16-12-3, 35pts
4
FINAL
1 Lightning
9-15-5, 23pts
Team Stats
W1StreakL1
9-3-2Home Record5-6-4
7-9-1Away Record4-9-1
5-3-2Last 10 Games3-5-2
3.32Goals Per Game2.62
3.35Goals Against Per Game3.97
18.75%Power Play Percentage20.69%
81.62%Penalty Kill Percentage77.14%
Blues
16-12-3, 35pts
Jour 61
Panthers
19-11-1, 39pts
Stats Équipe
W1SéquenceW3
9-3-2Fiche domicile9-7-1
7-9-1Fiche visiteur10-4-0
5-3-210 derniers matchs6-4-0
3.32Buts par match 3.39
3.35Buts contre par match 2.81
18.75%Pourcentage en avantage numérique17.33%
81.62%Pourcentage en désavantage numérique80.47%
Blues
16-12-3, 35pts
Jour 64
BlueJackets
21-7-2, 44pts
Stats Équipe
W1SéquenceW4
9-3-2Fiche domicile8-4-2
7-9-1Fiche visiteur13-3-0
5-3-210 derniers matchs10-0-0
3.32Buts par match 3.60
3.35Buts contre par match 2.67
18.75%Pourcentage en avantage numérique15.53%
81.62%Pourcentage en désavantage numérique89.24%
Blues
16-12-3, 35pts
Jour 70
Ducks
12-14-2, 26pts
Stats Équipe
W1SéquenceL1
9-3-2Fiche domicile6-8-1
7-9-1Fiche visiteur6-6-1
5-3-210 derniers matchs5-5-0
3.32Buts par match 3.43
3.35Buts contre par match 3.86
18.75%Pourcentage en avantage numérique20.00%
81.62%Pourcentage en désavantage numérique79.20%
Meneurs d'équipe
Sam ReinhartButs
Sam Reinhart
18
Boone JennerPasses
Boone Jenner
22
Sam ReinhartPoints
Sam Reinhart
34
Ivan ProvorovPlus/Moins
Ivan Provorov
10
Ilya SorokinVictoires
Ilya Sorokin
16
Ilya SorokinPourcentage d’arrêts
Ilya Sorokin
0.891

Stats Équipe
Buts pour
103
3.32 GFG
Tirs pour
1041
33.58 Avg
Pourcentage en avantage numérique
18.8%
27 GF
Début de zone offensive
41.3%
Buts contre
104
3.35 GAA
Tirs contre
939
30.29 Avg
Pourcentage en désavantage numérique
81.6%
25 GA
Début de la zone défensive
40.6%
Blessure/Suspension
Pas de blessure ou de suspension.
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
Assistance21,017
Billets de saison10,000
Information formation
Équipe Pro22
Équipe Mineure23
Limite contact 45 / 50
Espoirs2
Plafond salarial
Cap Salarial de la Saison estimé89,088,667$
Plafond salarial disponible911,333$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22
Finance
Revenu annuel à ce jour26,271,414$
Dépenses annuelles à ce jour29,663,747$
Revenus de la saison estimés50,666,298$
Dépenses de la saison estimées62,424,901$
Compte bancaire actuel293,711,646$
Compte bancaire projeté280,102,832$
Historique d'équipe
Saison actuelle16-12-3 (35PTS)
Historique806-730-142 (0.480%)
Apparitions séries éliminatoires 10
Historique séries éliminatoires (W-L)67-52
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
1Boone JennerX95.0079518786678461758678728260868535297403245,000,000$
2Brad MarchandX98.0067407290458592744072777262969110297303728,750,000$
3Warren FoegeleX100.0061518483678299684062748240808150297102913,500,000$
4Taylor HallX100.0053528183688096678166697264908525297003433,750,000$
5Nic DowdX100.0077487679608099598553649040928620297003552,200,000$
6Zach HymanX100.0059518184668693704059807040888730297003337,000,000$
7Ross ColtonX100.0096478483587985647557726890808050296902913,500,000$
8Keegan KolesarX100.0099717778737799604058627040787855336802811,900,000$
9Lars EllerX100.0057528177697798568752606873948615296503612,750,000$
10William CarrierX100.0099558375757472554053586640847940276403132,350,000$
11Jimmy VeseyX100.0057519075677272534046606270867935246103212,500,000$
12Kristopher LetangX100.007847768358899464406365827198945297503825,500,000$
13Darnell NurseX100.0090677179778795644070588140828545347503017,500,000$
14Ivan ProvorovX100.0048558281708999634066618740788455297302856,000,000$
15Radko GudasX100.0099556977658398534055528140928820247303554,000,000$
16Christopher TanevX100.0046518476678294564056558640948815297103634,400,000$
17Louis CrevierX100.009163847591796552404362744070757529690241600,000$
18John MarinoX100.0046498981638567624070547840788255146802843,900,000$
Rayé
1Sam ReinhartX96.0071518394618997877684908981828645288103031$
2Nick SchmaltzX96.0344448790538699778483706977808350157302956,375,000$
Équipe Mineure
1Conor ShearyX100.004839828744685867407058704088783027640332900,000$
2Drake CaggiulaX100.006240688251716159405762709084784042630311900,000$
3Nick CousinsX100.008048748152747757405560666986803527630322850,000$
4Jakub VranaX100.0051488581607270604051695776807650276202911,000,000$
5Michael EyssimontX100.0073547478577296544047606340807650276202921,250,000$
6Rasmus KupariX100.0071518575667283518844576740727270276102511,224,000$
7Nils AmanX100.006745887955725658736254624072727027610251900,000$
8Filip Bystedt (R)X100.007756808272605050405150694064629027590213925,000$
9Nick BoninoX100.0045498675626050508647526476967810225803722,000,000$
10Lukas RousekX100.004840787660817149406038614074786527580262750,000$
11Adam CracknellX100.006347877573605049404455514099800275704011,900,000$
12Hugh McGingX100.0050717277437767464044476640767760275602721,750,000$
13Jasper WeatherbyX100.0064587875776050417036455940766860225402711,550,000$
14Ryan SheaX100.0052548375737770514046567640787855276502821,100,000$
15Calvin deHaanX100.007547857659747552405450684090822527650341975,000$
16Troy StecherX100.0052458278497388504045566540847940276303121,750,000$
17Jacob BrysonX100.0047408679447476514052506540787655276102812,000,000$
18Jett WooX100.0074496375647166374040347099727270276102511,200,000$
19William DufourX100.004745707573665641403943504068678020520231925,000$
MOYENNE D’ÉQUIPE99.62665180806376785852565970538380432766
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 Sorokin97.009299999687868790898984828445228703016,000,000$
2Ilya Samsonov100.008265699373696971706884787455377202812,900,000$
Rayé
Équipe Mineure
1Martin Jones100.00855060955050505050505092712034600352900,000$
2Aaron Dell100.00815060895050505050508794721534590361575,000$
3Landon Bow100.00755060965050505050508382664520580301600,000$
4Beck Warm100.00775060805050505050504074626520560261600,000$
MOYENNE D’ÉQUIPE99.5082616892605959606060718472412865
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 ReinhartBluesRW2918163412206581128429314.06%865122.4611112171180000463048.34%15100011.0403000242
2Brad MarchandBluesLW31920292200715311027678.18%569822.54549321261013701231.48%5400000.8313000412
3Ivan ProvorovBluesD319182710160432746232919.57%3564820.93471124110000065120.00%000000.8300000302
4Boone JennerBluesC3142226-638071899231724.35%861119.7311112201220000520154.81%79000000.8501000111
5Zach HymanBluesLW31111324280303686267512.79%257118.44055111190001201027.03%3700000.8400000110
6Warren FoegeleBluesRW3181422060194812128876.61%863020.34448331200001932040.00%6000000.7000000200
7Taylor HallBluesRW3112921-30044465194918.46%344314.295051877000002165.52%2900000.9500000220
8Christopher TanevBluesD313131636028252761411.11%2651516.6300019000063000.00%000000.6200000012
9Nick SchmaltzBluesC25610165002796116499.84%553321.3522414990001231049.20%68900000.6011000010
10Kristopher LetangBluesD3141115-610030375118317.84%4079425.63224241341121118100.00%000000.3800000101
11Darnell NurseBluesD3131215-5611510427447256.82%4374123.9323528133011194020.00%000000.4000102012
12Nic DowdBluesC315813020033687220556.94%1143714.1111211240001810051.73%60700000.5900000010
13Ross ColtonBluesLW317512-3260572357132612.28%234311.09000010000271053.85%3900000.7000000122
14Radko GudasBluesD27145056108114178165.88%2545516.88000637000073000.00%000000.2200101001
15Lars EllerBluesC31134-3000352211224.55%32477.98000010110421056.82%26400000.3200000000
16John MarinoBluesD20033000088360.00%1820710.3800011000018000.00%000000.2900000000
17Louis CrevierBluesD31022-820055418360.00%253079.9100000000029000.00%000000.1300000000
18Keegan KolesarBluesRW6011195514130.00%1366.1400000000010050.00%800000.5400001000
19William CarrierBluesLW30011-615526691140.00%21454.8500000000000050.00%800000.1400100000
20Jimmy VeseyBluesRW18000-300023260.00%1814.5500001000000020.00%500000.0000000000
Statistiques d’équipe totales ou en moyenne558101185286-193333572470710413057459.70%271910516.322750772401236235992014851.40%274100010.6328304171515
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 SorokinBlues31161130.8913.29178800988990100.8899310021
2Ilya SamsonovBlues30100.8753.4188005400000.0000031000
Statistiques d’équipe totales ou en moyenne34161230.8903.291877001039390100.88993131021


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 Jenner (sur la masse salariale)BluesC321993-06-15No203 Lbs6 ft2NoNoYes4Pro Only5,000,000$5,000,000$3,342,697$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$5,849,719$No8,750,000$
UFA
Lien / Lien NHL
Christopher TanevBluesD361989-12-20No199 Lbs6 ft3NoNoYes3Pro & Farm4,400,000$4,400,000$2,941,573$No4,400,000$4,400,000$
UFA
Lien / Lien NHL
Darnell NurseBluesD301995-02-04No215 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$5,014,045$No
UFA
Lien / Lien NHL
Ilya SamsonovBluesG281997-02-22No200 Lbs6 ft3NoNoYes1Pro & Farm2,900,000$2,900,000$1,938,764$No
UFA
Lien / Lien NHL
Ilya SorokinBluesG301995-08-04No190 Lbs6 ft3NoNoYes1Pro Only6,000,000$6,000,000$4,011,236$No
UFA
Lien / Lien NHL
Ivan ProvorovBluesD281997-01-13No213 Lbs6 ft1NoNoYes5Pro Only6,000,000$6,000,000$4,011,236$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$1,671,348$No
UFA
Lien / Lien NHL
John MarinoBluesD281997-05-21No200 Lbs6 ft1NoNoYes4Pro & Farm3,900,000$3,900,000$2,607,303$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$1,270,225$No
UFA
Lien / Lien NHL
Kristopher LetangBluesD381987-04-24No193 Lbs6 ft0NoNoYes2Pro Only5,500,000$5,500,000$3,676,966$No5,500,000$
UFA
Lien / Lien NHL
Lars EllerBluesC361989-05-08No208 Lbs6 ft2NoNoYes1Pro & Farm2,750,000$2,750,000$1,838,483$No
UFA
Lien / Lien NHL
Louis CrevierBluesD242001-05-04No228 Lbs6 ft8NoNoNo1Pro & Farm600,000$600,000$401,124$No
RFA
Lien / Lien NHL
Nic DowdBluesC351990-05-27No190 Lbs6 ft2YesNoYes5Pro & Farm2,200,000$2,200,000$1,470,787$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$4,261,938$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$2,674,157$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$2,339,888$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$2,507,022$No3,750,000$3,750,000$
UFA
Lien / Lien NHL
Warren FoegeleBluesRW291996-04-01No204 Lbs6 ft2NoNoYes1Pro & Farm3,500,000$3,500,000$2,339,888$No
UFA
Lien / Lien NHL
William CarrierBluesLW311994-12-20No220 Lbs6 ft2NoNoYes3Pro & Farm2,350,000$2,350,000$1,571,067$No2,350,000$2,350,000$
UFA
Lien / Lien NHL
Zach HymanBluesLW331992-06-09No206 Lbs6 ft1NoNoYes3Pro Only7,000,000$7,000,000$4,679,775$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 JennerWarren Foegele40122
2Zach HymanNic DowdTaylor Hall30122
3Ross ColtonLars EllerKeegan Kolesar20122
4William CarrierBoone JennerJimmy Vesey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang40122
2Ivan ProvorovRadko Gudas30122
3Christopher TanevLouis Crevier20122
4John MarinoDarnell Nurse10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandBoone JennerWarren Foegele60122
2Zach HymanNic DowdTaylor Hall40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Boone JennerBrad Marchand60122
2Warren FoegeleZach Hyman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Boone Jenner60122Darnell NurseKristopher Letang60122
2Brad Marchand40122Ivan ProvorovRadko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Boone JennerBrad Marchand60122
2Warren FoegeleZach Hyman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandBoone JennerWarren FoegeleDarnell NurseKristopher Letang
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandBoone JennerWarren FoegeleDarnell NurseKristopher Letang
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ross Colton, Keegan Kolesar, Lars EllerRoss Colton, Keegan KolesarLars Eller
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christopher Tanev, Louis Crevier, John MarinoChristopher TanevLouis Crevier, John Marino
Tirs de pénalité
Boone Jenner, Brad Marchand, Warren Foegele, Zach Hyman, Nic Dowd
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
1Avalanche22000000734110000005231100000021141.0007132000340083173333046141448700.00%6266.67%1602112353.61%554110450.18%25349151.53%553939132513
2Blackhawks10001000321000000000001000100032121.000369000021398101742686206116.67%30100.00%0602112353.61%554110450.18%25349151.53%2516237136
3Bruins1000010034-11000010034-10000000000010.5003580002103578200317629300.00%3166.67%0602112353.61%554110450.18%25349151.53%2617227126
4Canucks11000000431110000004310000000000021.000461000220027713703410425300.00%20100.00%0602112353.61%554110450.18%25349151.53%2518226116
5Devils22000000835110000003211100000051441.000815230024206315272106114234512216.67%90100.00%0602112353.61%554110450.18%25349151.53%463047142613
6Ducks11000000532000000000001100000053221.000510150032004518171002368227342.86%40100.00%0602112353.61%554110450.18%25349151.53%2518227126
7Flyers1000000123-11000000123-10000000000010.50023500101016726435103319000.00%80100.00%0602112353.61%554110450.18%25349151.53%2013309135
8GoldenKnights11000000422110000004220000000000021.00048120021102511770301115226116.67%40100.00%0602112353.61%554110450.18%25349151.53%2720217115
9Hurricanes1010000047-3000000000001010000047-300.00047110002202639140411013303133.33%4175.00%0602112353.61%554110450.18%25349151.53%1912288126
10Kings1010000024-2000000000001010000024-200.000246001100338169028128196116.67%4175.00%0602112353.61%554110450.18%25349151.53%2416217137
11Lightning21000010624100000102111100000041341.0006915000051832223355561316531417.14%80100.00%0602112353.61%554110450.18%25349151.53%523646152513
12Mammoth2110000010911010000056-11100000053220.5001018280042408526283105119145710220.00%6266.67%0602112353.61%554110450.18%25349151.53%554141132311
13MapleLeafs11000000624110000006240000000000021.000611170040203691512027511205240.00%30100.00%0602112353.61%554110450.18%25349151.53%2821196126
14Oilers11000000431110000004310000000000021.00047110013003341514025108183133.33%30100.00%0602112353.61%554110450.18%25349151.53%2519237115
15Penguins1010000004-4000000000001010000004-400.00000000000030781503492024500.00%9366.67%0602112353.61%554110450.18%25349151.53%2214257115
16Predators302000101217-520100010910-11010000037-420.33312213300533110238323051373751769444.44%22768.18%0602112353.61%554110450.18%25349151.53%715076213617
17Rangers1010000012-1000000000001010000012-100.00012300100037151012036144285120.00%2150.00%0602112353.61%554110450.18%25349151.53%2718207126
18RedWings1010000034-11010000034-10000000000000.00036900120025107803466225120.00%30100.00%0602112353.61%554110450.18%25349151.53%2114257126
19Sabres1010000015-4000000000001010000015-400.000123001000278613042121219300.00%6183.33%0602112353.61%554110450.18%25349151.53%2013287115
20Senators1010000023-1000000000001010000023-100.0002460011002799901474235120.00%2150.00%0602112353.61%554110450.18%25349151.53%2315237136
21Sharks11000000734000000000001100000073421.00071219002230321688024610223133.33%5180.00%1602112353.61%554110450.18%25349151.53%2214247136
22Stars21000100651110000004221000010023-130.750611170040208621323303614184111218.18%8275.00%0602112353.61%554110450.18%25349151.53%523743132413
23Wild20200000311-80000000000020200000311-800.0003580011104622111306817294213215.38%12283.33%0602112353.61%554110450.18%25349151.53%422652162411
Total31131201221103104-11473001215444101769011004960-11350.5651031852880039322931041308346377189392713337241442718.75%1362581.62%2602112353.61%554110450.18%25349151.53%762529731230386196
_Since Last GM Reset31131201221103104-11473001215444101769011004960-11350.5651031852880039322931041308346377189392713337241442718.75%1362581.62%2602112353.61%554110450.18%25349151.53%762529731230386196
_Vs Conference1896011106765285200010352871044011003237-5230.639671211880028211626361962222129528164185412841821.43%791778.48%2602112353.61%554110450.18%25349151.53%453320413130222113
_Vs Division1034011103138-74210001018144613011001324-11110.550315687001388235610611812693139011822746919.57%511374.51%1602112353.61%554110450.18%25349151.53%2471712367212563

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3135W1103185288104193927133372400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3113121221103104
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
147301215444
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
176911004960
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1442718.75%1362581.62%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
308346377183932293
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
602112353.61%554110450.18%25349151.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
762529731230386196


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
114Canucks3Blues4BWSommaire du match
327Flyers3Blues2BLXXSommaire du match
432Blues3Blackhawks2AWXSommaire du match
650Avalanche2Blues5BWSommaire du match
862Blues5Devils1AWSommaire du match
973Blues1Rangers2ALSommaire du match
13100GoldenKnights2Blues4BWSommaire du match
15118Lightning1Blues2BWXXSommaire du match
17135RedWings4Blues3BLSommaire du match
19150Oilers3Blues4BWSommaire du match
21156Blues1Sabres5ALSommaire du match
22170Blues0Penguins4ALSommaire du match
24186Blues2Senators3ALSommaire du match
26199Mammoth6Blues5BLSommaire du match
29222Blues7Sharks3AWSommaire du match
31235Blues2Kings4ALSommaire du match
32240Blues5Ducks3AWSommaire du match
36271Stars2Blues4BWSommaire du match
37276Blues4Hurricanes7ALSommaire du match
40301Predators5Blues6BWXXSommaire du match
42314Blues2Wild5ALSommaire du match
43325Bruins4Blues3BLXSommaire du match
45333Blues2Stars3ALXSommaire du match
47356MapleLeafs2Blues6BWSommaire du match
49366Blues1Wild6ALSommaire du match
50372Blues2Avalanche1AWSommaire du match
52385Blues5Mammoth3AWSommaire du match
54406Devils2Blues3BWSommaire du match
56418Blues3Predators7ALSommaire du match
57430Predators5Blues3BLSommaire du match
59448Blues4Lightning1AWSommaire du match
61456Blues-Panthers-
64471Blues-BlueJackets-
70502Blues-Ducks-
72515Blues-Kings-
74530Senators-Blues-
76540Blues-Bruins-
78558Blues-Islanders-
79567Blues-Capitals-
81576Blues-Stars-
83598Canadiens-Blues-
85611Stars-Blues-
86618Blues-Flyers-
88635Islanders-Blues-
90650Capitals-Blues-
93672Rangers-Blues-
95686Penguins-Blues-
97701Sabres-Blues-
99718Blues-Flames-
101741Blues-Canucks-
103749Blues-Oilers-
105765Flames-Blues-
107785Avalanche-Blues-
110805Panthers-Blues-
112816Canucks-Blues-
114832Blues-Jets-
116846Oilers-Blues-
120866Blues-Mammoth-
121880Blues-Avalanche-
123893Blues-RedWings-
127923Jets-Blues-
128937Predators-Blues-
129950Blues-Predators-
131962Kings-Blues-
133979Blues-Sharks-
134985Blues-GoldenKnights-
136996Blues-Blackhawks-
1391017Wild-Blues-
1411033Sharks-Blues-
1441055Hurricanes-Blues-
1471075Wild-Blues-
1491091GoldenKnights-Blues-
1541122Blackhawks-Blues-
1561138BlueJackets-Blues-
1591154Blues-Jets-
1611167Blues-MapleLeafs-
1641185Blues-Canadiens-
1671200Ducks-Blues-
1681204Blues-Blackhawks-
1691226Flames-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1741253Blackhawks-Blues-
1761266Jets-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
Boone Jenner
Boone Jenner
AGE:32
SK:86
EN:84
DU:61
PH:75
PA:78
SC:72
DF:82
Nick Schmaltz
Nick Schmaltz
AGE:29
SK:90
EN:86
DU:99
PH:77
PA:83
SC:70
DF:69
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
Ryan Shea
Ryan Shea
AGE:28
SK:75
EN:77
DU:70
PH:51
PA:46
SC:56
DF:76
Calvin deHaan
Calvin deHaan
AGE:34
SK:76
EN:74
DU:75
PH:52
PA:54
SC:50
DF:68
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
4Shane Doan527183243426-11963814101138182910.01%1801329925.245610115752594136622735.24%00.64750
5Nick Schmaltz418151243394563468907134811.20%82812619.4433911243305382420449.92%60.97317

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 Sorokin112763140.9062.81657110630832860620.88526
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
203931131201221103104-11473001215444101769011004960-11351031852880039322931041308346377189392713337241442718.75%1362581.62%2602112353.61%554110450.18%25349151.53%762529731230386196
Total Saison régulière167165673006558857753275587-26083434335302731443627092727-1883731337703827414126182860-242164953279251145782650315173517331412521242258166811757215169539211592022115382697798155719.97%8352171679.45%92286535701650.25%279305899947.34%131382690448.83%384132523039993133232309311448
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
Total Séries éliminatoires11967520000044139348603129000002292181159362300000212175371344417841225115913916079394245012551299847384611491373264962813922.13%57011180.53%52224449549.48%2133438748.62%1023203750.22%2918198028749181583801

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 Reinhart643438721144813026013.08%17133620.881016265500046250.99%01.0800
2Claude Giroux37193756582812111616.38%1685323.06716232900024256.36%01.3100
3Zach Hyman41193453428704418910.05%7100824.60812205300022132.47%01.0500
4Drew Doughty4694049-471151801217.44%68118125.6851823860112100.00%00.8300
5Nick Schmaltz5515344961791111639.20%11101918.5349133301126153.51%00.9600

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 Sorokin2416620.8773.90143260937570100.0000
3Connor Hellebuyck1511300.8993.2285800464570000.0000
4Devan Dubnyk73220.9152.794510021248108100.0000
5Juuse Saros113530.9063.0467200343620010.0000