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Centre de jeu
Blues
33-23-4, 70pts
6
FINAL
4 Avalanche
19-34-6, 44pts
Team Stats
L1StreakL1
17-8-2Home Record10-19-3
16-15-2Away Record9-15-3
4-6-0Last 10 Games1-7-2
3.42Goals Per Game3.15
3.27Goals Against Per Game4.12
21.88%Power Play Percentage20.28%
80.28%Penalty Kill Percentage77.78%
Blues
33-23-4, 70pts
3
FINAL
5 RedWings
40-15-4, 84pts
Team Stats
L1StreakSOL1
17-8-2Home Record19-6-4
16-15-2Away Record21-9-0
4-6-0Last 10 Games6-3-1
3.42Goals Per Game4.34
3.27Goals Against Per Game3.24
21.88%Power Play Percentage23.83%
80.28%Penalty Kill Percentage82.86%
Jets
37-20-3, 77pts
Jour 127
Blues
33-23-4, 70pts
Stats Équipe
W2SéquenceL1
19-9-1Fiche domicile17-8-2
18-11-2Fiche visiteur16-15-2
7-3-010 derniers matchs4-6-0
3.30Buts par match 3.42
2.88Buts contre par match 3.27
17.33%Pourcentage en avantage numérique21.88%
78.24%Pourcentage en désavantage numérique80.28%
Predators
35-20-4, 74pts
Jour 128
Blues
33-23-4, 70pts
Stats Équipe
W4SéquenceL1
19-8-3Fiche domicile17-8-2
16-12-1Fiche visiteur16-15-2
5-4-110 derniers matchs4-6-0
4.32Buts par match 3.42
3.53Buts contre par match 3.27
21.78%Pourcentage en avantage numérique21.88%
80.46%Pourcentage en désavantage numérique80.28%
Blues
33-23-4, 70pts
Jour 129
Predators
35-20-4, 74pts
Stats Équipe
L1SéquenceW4
17-8-2Fiche domicile19-8-3
16-15-2Fiche visiteur16-12-1
4-6-010 derniers matchs5-4-1
3.42Buts par match 4.32
3.27Buts contre par match 3.53
21.88%Pourcentage en avantage numérique21.78%
80.28%Pourcentage en désavantage numérique80.46%
Meneurs d'équipe
Sam ReinhartButs
Sam Reinhart
38
Boone JennerPasses
Boone Jenner
44
Sam ReinhartPoints
Sam Reinhart
77
Sam ReinhartPlus/Moins
Sam Reinhart
10
Ilya SorokinVictoires
Ilya Sorokin
33
Ilya SamsonovPourcentage d’arrêts
Ilya Samsonov
0.916

Stats Équipe
Buts pour
205
3.42 GFG
Tirs pour
2049
34.15 Avg
Pourcentage en avantage numérique
21.9%
63 GF
Début de zone offensive
42.2%
Buts contre
196
3.27 GAA
Tirs contre
1845
30.75 Avg
Pourcentage en désavantage numérique
80.3%
56 GA
Début de la zone défensive
40.5%
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
Assistance20,749
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 jour49,992,019$
Dépenses annuelles à ce jour64,810,540$
Revenus de la saison estimés25,921,788$
Dépenses de la saison estimées27,278,108$
Compte bancaire actuel281,260,961$
Compte bancaire projeté279,078,927$
Historique d'équipe
Saison actuelle33-23-4 (70PTS)
Historique823-741-145 (0.482%)
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
1Sam ReinhartX100.0071518394618997877684908981828645348103031$
2Boone JennerX100.0079518786678461758678728260868535467403245,000,000$
3Nick SchmaltzX100.0044448790538699778483706977808350347302956,375,000$
4Brad MarchandX100.0067407290458592744072777262969110467303728,750,000$
5Zach HymanX100.0059518184668693704059807040888730467103337,000,000$
6Warren FoegeleX100.0061518483678299684062748240808150467102913,500,000$
7Taylor HallX100.0053528183688096678166697264908525497003433,750,000$
8Nic DowdX100.0077487679608099598553649040928620467003552,200,000$
9Ross ColtonX100.0096478483587985647557726890808050466902913,500,000$
10Keegan KolesarX100.0099717778737799604058627040787855496802811,900,000$
11Lars EllerX100.0057528177697798568752606873948615466603612,750,000$
12Kristopher LetangX100.007847768358899464406365827198945467503825,500,000$
13Darnell NurseX100.0090677179778795644070588140828545537503017,500,000$
14Ivan ProvorovX100.0048558281708999634066618740788455477402856,000,000$
15Radko GudasX100.0099556977658398534055528140928820387303554,000,000$
16Christopher TanevX100.0046518476678294564056558640948815477103634,400,000$
17John MarinoX100.0046498981638567624070547840788255336902843,900,000$
18Louis CrevierX100.009163847591796552404362744070757547690241600,000$
Rayé
1William CarrierX100.0099558375757472554053586640847940206403132,350,000$
2Jimmy VeseyX100.0057519075677272534046606270867935196103212,500,000$
Équipe Mineure
1Conor ShearyX100.004839828744685867407058704088783035640332900,000$
2Nick CousinsX100.008048748152747757405560666986803535640322850,000$
3Drake CaggiulaX100.006240688251716159405762709084784042630311900,000$
4Jakub VranaX100.0051488581607270604051695776807650356202911,000,000$
5Michael EyssimontX100.0073547478577296544047606340807650356202921,250,000$
6Rasmus KupariX100.0071518575667283518844576740727270356102511,224,000$
7Nils AmanX100.006745887955725658736254624072727035610251900,000$
8Filip Bystedt (R)X100.007756808272605050405150694064629035590213925,000$
9Nick BoninoX100.0045498675626050508647526476967810295803722,000,000$
10Lukas RousekX100.004840787660817149406038614074786535580262750,000$
11Adam CracknellX100.006347877573605049404455514099800235704011,900,000$
12Jasper WeatherbyX100.0064587875776050417036455940766860295402711,550,000$
13Ryan SheaX100.0052548375737770514046567640787855356502821,100,000$
14Calvin deHaanX100.007547857659747552405450684090822535650341975,000$
15Troy StecherX100.0052458278497388504045566540847940356303121,750,000$
16Jacob BrysonX100.0047408679447476514052506540787655356102812,000,000$
17Jett WooX100.0074496375647166374040347099727270356102511,200,000$
18Hugh McGingX100.0050717277437767464044476640767760205602721,750,000$
19William DufourX100.004745707573665641403943504068678020520231925,000$
MOYENNE D’ÉQUIPE100.00665180806376785852565970538380433766
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 Sorokin100.009299999687868790898984828445428703016,000,000$
2Ilya Samsonov100.008265699373696971706884787455617202812,900,000$
Rayé
Équipe Mineure
1Martin Jones100.00855060955050505050505092712050600352900,000$
2Aaron Dell100.00815060895050505050508794721550590361575,000$
3Landon Bow100.00755060965050505050508382664520580301600,000$
4Beck Warm100.00775060805050505050504074626520560261600,000$
MOYENNE D’ÉQUIPE100.0082616892605959606060718472414165
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 ReinhartBluesRW56383977103351071402778419113.72%17121321.6881927442250000466149.75%20300121.2703100873
2Boone JennerBluesC601444583735139177177561487.91%16123020.52318213923300011170154.65%157900000.9402001145
3Brad MarchandBluesLW6024335710440129862125914511.32%8132122.039716562371013843232.00%10000010.8614000744
4Ivan ProvorovBluesD6014354982154462103407313.59%79127221.2181624562090000170320.00%000000.7700001413
5Warren FoegeleBluesRW60232548-22205499231431629.96%17123020.51119207522600032235240.68%11800000.7801000421
6Nick SchmaltzBluesC541427414409150146421139.59%9108420.0841317322090001363050.00%143400000.7611000120
7Kristopher LetangBluesD6083240-120067548838609.09%83151425.2441014392511122234100.00%000000.5300000202
8Taylor HallBluesRW60191938-4115870123379115.45%487914.668715411890000564152.73%5500000.8600100223
9Zach HymanBluesLW6017193641806770181441359.39%4110918.49279352270001273034.18%7900000.6500000111
10Darnell NurseBluesD6062733-111325188578714486.90%79142423.755813512380112197020.00%000000.4600104112
11Christopher TanevBluesD60620265375634551112411.76%5288514.76000517000065000.00%000000.5900001012
12Nic DowdBluesC6081523132057148122311026.56%1783313.89112122500042121152.44%124900000.5500000020
13Ross ColtonBluesLW609817-65401105010430528.65%471011.84000020000271050.77%6500000.4800000132
14John MarinoBluesD4909901002520214150.00%3055011.2400011000030000.00%000000.3300000000
15Radko GudasBluesD56178011115174293014283.33%5495817.110116420001155000.00%000000.1700111001
16Lars EllerBluesC60156-6001533315323.03%74317.20000010110651056.62%43800000.2800000000
17Louis CrevierBluesD60055-733574825680.00%364457.4200000000072000.00%000000.2200001000
18Keegan KolesarBluesRW35123-129538192612213.85%22336.68000000000130138.24%3400000.2600001000
19William CarrierBluesLW32011-615526691140.00%21514.7300000000000050.00%800000.1300100000
20Jimmy VeseyBluesRW18000-300023260.00%1814.5500001000000020.00%500000.0000000000
Statistiques d’équipe totales ou en moyenne108020337257586808013801345204958314689.91%5211756416.26631161794922341235181836311351.63%536700130.652115110323029
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 SorokinBlues60332240.8953.1934852018517600220.83312600242
2Ilya SamsonovBlues40100.9163.11135007830000.0000060000
Statistiques d’équipe totales ou en moyenne64332340.8963.1836212019218430220.833126060242


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$1,460,674$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$2,556,180$No8,750,000$
UFA
Lien / Lien NHL
Christopher TanevBluesD361989-12-20No199 Lbs6 ft3NoNoYes3Pro & Farm4,400,000$4,400,000$1,285,393$No4,400,000$4,400,000$
UFA
Lien / Lien NHL
Darnell NurseBluesD301995-02-04No215 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$2,191,011$No
UFA
Lien / Lien NHL
Ilya SamsonovBluesG281997-02-22No200 Lbs6 ft3NoNoYes1Pro & Farm2,900,000$2,900,000$847,191$No
UFA
Lien / Lien NHL
Ilya SorokinBluesG301995-08-04No190 Lbs6 ft3NoNoYes1Pro Only6,000,000$6,000,000$1,752,809$No
UFA
Lien / Lien NHL
Ivan ProvorovBluesD281997-01-13No213 Lbs6 ft1NoNoYes5Pro Only6,000,000$6,000,000$1,752,809$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$730,337$No
UFA
Lien / Lien NHL
John MarinoBluesD281997-05-21No200 Lbs6 ft1NoNoYes4Pro & Farm3,900,000$3,900,000$1,139,326$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$555,056$No
UFA
Lien / Lien NHL
Kristopher LetangBluesD381987-04-24No193 Lbs6 ft0NoNoYes2Pro Only5,500,000$5,500,000$1,606,742$No5,500,000$
UFA
Lien / Lien NHL
Lars EllerBluesC361989-05-08No208 Lbs6 ft2NoNoYes1Pro & Farm2,750,000$2,750,000$803,371$No
UFA
Lien / Lien NHL
Louis CrevierBluesD242001-05-04No228 Lbs6 ft8NoNoNo1Pro & Farm600,000$600,000$175,281$No
RFA
Lien / Lien NHL
Nic DowdBluesC351990-05-27No190 Lbs6 ft2YesNoYes5Pro & Farm2,200,000$2,200,000$642,697$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$1,862,360$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$1,168,539$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$1,022,472$No
UFA
Lien / Lien NHL
Sam ReinhartBluesRW301995-11-06No196 Lbs6 ft1YesNoYes3Pro Only1$1$0$No7,200,000$7,200,000$
UFA
Lien / Lien NHL
Taylor HallBluesRW341991-11-14No210 Lbs6 ft1NoNoYes3Pro & Farm3,750,000$3,750,000$1,095,506$No3,750,000$3,750,000$
UFA
Lien / Lien NHL
Warren FoegeleBluesRW291996-04-01No204 Lbs6 ft2NoNoYes1Pro & Farm3,500,000$3,500,000$1,022,472$No
UFA
Lien / Lien NHL
William CarrierBluesLW311994-12-20No220 Lbs6 ft2NoNoYes3Pro & Farm2,350,000$2,350,000$686,517$No2,350,000$2,350,000$
UFA
Lien / Lien NHL
Zach HymanBluesLW331992-06-09No206 Lbs6 ft1NoNoYes3Pro Only7,000,000$7,000,000$2,044,944$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 MarchandNick SchmaltzSam Reinhart40122
2Zach HymanBoone JennerWarren Foegele30122
3Ross ColtonNic DowdTaylor Hall20122
4Zach HymanLars EllerKeegan Kolesar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang40122
2Ivan ProvorovRadko Gudas30122
3Christopher TanevJohn Marino20122
4Louis CrevierDarnell Nurse10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandNick SchmaltzSam Reinhart60122
2Zach HymanBoone JennerWarren Foegele40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangTaylor Hall60122
2Ivan ProvorovDarnell Nurse40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nic DowdWarren Foegele60122
2Boone JennerTaylor Hall40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nic Dowd60122Darnell NurseKristopher Letang60122
2Boone Jenner40122Ivan ProvorovRadko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick SchmaltzBrad Marchand60122
2Sam ReinhartWarren Foegele40122
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, Ross Colton, Keegan KolesarNic Dowd, Ross ColtonKeegan Kolesar
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christopher Tanev, Louis Crevier, John MarinoChristopher TanevLouis Crevier, John Marino
Tirs de pénalité
Boone Jenner, Brad Marchand, Nick Schmaltz, Warren Foegele, 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
1Avalanche440000001697220000008442200000085381.00016304600853017756655609826309219421.05%13469.23%11187224952.78%1090215850.51%49492553.41%1107977265228
2Blackhawks10001000321000000000001000100032121.000369000021398101742686206116.67%30100.00%01187224952.78%1090215850.51%49492553.41%2516237136
3BlueJackets1010000023-1000000000001010000023-100.0002240010102299403151924600.00%6183.33%01187224952.78%1090215850.51%49492553.41%2517217126
4Bruins210001006601000010034-11100000032130.7506101600231058121927066171251600.00%6183.33%01187224952.78%1090215850.51%49492553.41%483347142512
5Canadiens11000000532110000005320000000000021.00059140030204618141402856195360.00%20100.00%01187224952.78%1090215850.51%49492553.41%2922186126
6Canucks3210000010912110000067-11100000042240.66710172700325089203732010938347310330.00%17288.24%01187224952.78%1090215850.51%49492553.41%674676233616
7Capitals220000001156110000005231100000063341.0001120310045209935372705317214112433.33%8275.00%01187224952.78%1090215850.51%49492553.41%604436132312
8Devils22000000835110000003211100000051441.000815230024206315272106114234512216.67%90100.00%01187224952.78%1090215850.51%49492553.41%463047142613
9Ducks2200000010640000000000022000000106441.0001019290064009244311704914164511327.27%8187.50%01187224952.78%1090215850.51%49492553.41%523843132413
10Flames211000007521010000023-11100000052320.50071320002320812724300498145012433.33%70100.00%01187224952.78%1090215850.51%49492553.41%543940142413
11Flyers210000015411000000123-11100000031230.750591400401048231113458263949400.00%110100.00%01187224952.78%1090215850.51%49492553.41%422756162612
12GoldenKnights11000000422110000004220000000000021.00048120021102511770301115226116.67%40100.00%01187224952.78%1090215850.51%49492553.41%2720217115
13Hurricanes1010000047-3000000000001010000047-300.00047110002202639140411013303133.33%4175.00%01187224952.78%1090215850.51%49492553.41%1912288126
14Islanders2010100067-11010000035-21000100032120.500612180013117126251917615243913323.08%12375.00%01187224952.78%1090215850.51%49492553.41%483247152412
15Jets1010000012-1000000000001010000012-100.00012300010033991502711619600.00%30100.00%01187224952.78%1090215850.51%49492553.41%2315238136
16Kings20200000511-60000000000020200000511-600.00051015002210641925200902330496116.67%15566.67%01187224952.78%1090215850.51%49492553.41%442949142512
17Lightning21000010624100000102111100000041341.0006915000051832223355561316531417.14%80100.00%01187224952.78%1090215850.51%49492553.41%523646152513
18Mammoth32100000121021010000056-12200000074340.66712223400534012130474408726227514321.43%10280.00%01187224952.78%1090215850.51%49492553.41%805863203518
19MapleLeafs11000000624110000006240000000000021.000611170040203691512027511205240.00%30100.00%01187224952.78%1090215850.51%49492553.41%2821196126
20Oilers312000001013-32110000078-11010000035-220.3331019291044209826363608529267514321.43%12558.33%01187224952.78%1090215850.51%49492553.41%755468223618
21Panthers21000001660110000003211000000134-130.75061117001320501615175571234518225.00%12191.67%01187224952.78%1090215850.51%49492553.41%452852162714
22Penguins2110000056-1110000005231010000004-420.50059140011306622172706318285316318.75%13469.23%01187224952.78%1090215850.51%49492553.41%473247142513
23Predators302000101217-520100010910-11010000037-420.33312213300533110238323051373751769444.44%22768.18%01187224952.78%1090215850.51%49492553.41%715076213617
24Rangers2020000036-31010000024-21010000012-100.0003690021006323192106817384611218.18%8450.00%01187224952.78%1090215850.51%49492553.41%513643152412
25RedWings2020000069-31010000034-11010000035-200.00061117103300542010240721920447114.29%10370.00%01187224952.78%1090215850.51%49492553.41%433052142311
26Sabres2010100069-3100010005411010000015-420.50061016003201551815202802331445120.00%13192.31%01187224952.78%1090215850.51%49492553.41%432954132311
27Senators21100000541110000003121010000023-120.50059140013105222171303913164010220.00%8187.50%01187224952.78%1090215850.51%49492553.41%473146142613
28Sharks11000000734000000000001100000073421.00071219002230321688024610223133.33%5180.00%11187224952.78%1090215850.51%49492553.41%2214247136
29Stars42100100151412200000010642010010058-350.62515284300933015856554709038427122627.27%20575.00%01187224952.78%1090215850.51%49492553.41%1007090275026
30Wild20200000311-80000000000020200000311-800.0003580011104622111306817294213215.38%12283.33%01187224952.78%1090215850.51%49492553.41%422652162411
Total6028230322220519692714801121101851633141502101104111-7700.583205372577208164555204967567968026184552168213802886321.88%2845680.28%21187224952.78%1090215850.51%49492553.41%147710271398442751381
_Since Last GM Reset6028230322220519692714801121101851633141502101104111-7700.583205372577208164555204967567968026184552168213802886321.88%2845680.28%21187224952.78%1090215850.51%49492553.41%147710271398442751381
_Vs Conference321613011101151141137500010514651998011006468-4370.578115212327104934302115738239737299692923317311513623.84%1513477.48%21187224952.78%1090215850.51%49492553.41%798561731233398201
_Vs Division1566011105055-56410001027207925011002335-12170.56750921420023131225551891821789446137164320751722.67%731875.34%11187224952.78%1090215850.51%49492553.41%37425834310819197

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6070L120537257720491845521682138020
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6028233222205196
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27148112110185
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3314152101104111
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2886321.88%2845680.28%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
675679680268164555
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
1187224952.78%1090215850.51%49492553.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
147710271398442751381


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
61456Blues3Panthers4ALXXSommaire du match
64471Blues2BlueJackets3ALSommaire du match
70502Blues5Ducks3AWSommaire du match
72515Blues3Kings7ALSommaire du match
74530Senators1Blues3BWSommaire du match
76540Blues3Bruins2AWSommaire du match
78558Blues3Islanders2AWXSommaire du match
79567Blues6Capitals3AWSommaire du match
81576Blues3Stars5ALSommaire du match
83598Canadiens3Blues5BWSommaire du match
85611Stars4Blues6BWSommaire du match
86618Blues3Flyers1AWSommaire du match
88635Islanders5Blues3BLSommaire du match
90650Capitals2Blues5BWSommaire du match
93672Rangers4Blues2BLSommaire du match
95686Penguins2Blues5BWSommaire du match
97701Sabres4Blues5BWXSommaire du match
99718Blues5Flames2AWSommaire du match
101741Blues4Canucks2AWSommaire du match
103749Blues3Oilers5ALSommaire du match
105765Flames3Blues2BLSommaire du match
107785Avalanche2Blues3BWSommaire du match
110805Panthers2Blues3BWSommaire du match
112816Canucks4Blues2BLSommaire du match
114832Blues1Jets2ALSommaire du match
116846Oilers5Blues3BLSommaire du match
120866Blues2Mammoth1AWSommaire du match
121880Blues6Avalanche4AWSommaire du match
123893Blues3RedWings5ALSommaire du match
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
5Sam Reinhart377195225420128128329762149813.02%57749619.88471001473850008401052.65%51.12012

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 Sorokin141934250.9052.87826812639541470740.86229
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
20396028230322220519692714801121101851633141502101104111-770205372577208164555204967567968026184552168213802886321.88%2845680.28%21187224952.78%1090215850.51%49492553.41%147710271398442751381
Total Saison régulière170067174106758857854295679-25084735035802831443627562768-1285332138303927414226732911-238168454299438148672850357176717591414531322625170141787515177548271617022464389257942159320.06%8500174779.45%92292385814250.29%284666005347.40%133792733848.94%391282572740659135352345811633
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