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Centre de jeu
Blues
12-6-0, 24pts
8
FINAL
6 Kings
9-7-0, 18pts
Team Stats
W4StreakL4
6-4-0Home Record3-4-0
6-2-0Away Record6-3-0
8-1-1Last 10 Games5-5-0
4.78Goals Per Game3.63
4.00Goals Against Per Game3.44
26.17%Power Play Percentage27.16%
71.58%Penalty Kill Percentage69.33%
Kings
9-7-0, 18pts
1
FINAL
5 Blues
12-6-0, 24pts
Team Stats
L4StreakW4
3-4-0Home Record6-4-0
6-3-0Away Record6-2-0
5-5-0Last 10 Games8-1-1
3.63Goals Per Game4.78
3.44Goals Against Per Game4.00
27.16%Power Play Percentage26.17%
69.33%Penalty Kill Percentage71.58%
Blues
12-6-0, 24pts
Jour 43
Sabres
12-2-0, 24pts
Stats Équipe
W4SéquenceW1
6-4-0Fiche domicile7-1-0
6-2-0Fiche visiteur5-1-0
8-1-110 derniers matchs8-2-0
4.78Buts par match 4.57
4.00Buts contre par match 3.14
26.17%Pourcentage en avantage numérique27.63%
71.58%Pourcentage en désavantage numérique75.00%
Blues
12-6-0, 24pts
Jour 44
Sabres
12-2-0, 24pts
Stats Équipe
W4SéquenceW1
6-4-0Fiche domicile7-1-0
6-2-0Fiche visiteur5-1-0
8-1-110 derniers matchs8-2-0
4.78Buts par match 4.57
4.00Buts contre par match 3.14
26.17%Pourcentage en avantage numérique27.63%
71.58%Pourcentage en désavantage numérique75.00%
Sabres
12-2-0, 24pts
Jour 45
Blues
12-6-0, 24pts
Stats Équipe
W1SéquenceW4
7-1-0Fiche domicile6-4-0
5-1-0Fiche visiteur6-2-0
8-2-010 derniers matchs8-1-1
4.57Buts par match 4.78
3.14Buts contre par match 4.00
27.63%Pourcentage en avantage numérique26.17%
75.00%Pourcentage en désavantage numérique71.58%
Meneurs d'équipe
Zach HymanButs
Zach Hyman
10
Kristopher LetangPasses
Kristopher Letang
20
Kristopher LetangPoints
Kristopher Letang
29
Darnell NursePlus/Moins
Darnell Nurse
8
Ilya SorokinVictoires
Ilya Sorokin
12
Ilya SorokinPourcentage d’arrêts
Ilya Sorokin
0.882

Stats Équipe
Buts pour
86
4.78 GFG
Tirs pour
642
35.67 Avg
Pourcentage en avantage numérique
26.2%
28 GF
Début de zone offensive
41.0%
Buts contre
72
4.00 GAA
Tirs contre
596
33.11 Avg
Pourcentage en désavantage numérique
71.6%
27 GA
Début de la zone défensive
39.8%
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
Assistance24,198
Billets de saison10,000
Information formation
Équipe Pro24
Équipe Mineure23
Limite contact 47 / 50
Espoirs4
Plafond salarial
Cap Salarial de la Saison estimé0$
Plafond salarial disponible85,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial24
Finance
Revenu annuel à ce jour21,359,889$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel291,469,892$
Compte bancaire projeté291,469,892$
Historique d'équipe
Saison actuelle12-6
Historique790-718-140 (0.479%)
Apparitions séries éliminatoires 9
Historique séries éliminatoires (W-L)63-50
Stanley Cup0


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
1Zach HymanX98.0065517891668798844064997840888830967803247,000,000$
2Brad MarchandX100.0073447193438799794078797862969210947703638,750,000$
3Claude GirouxX100.0051448491538899779383718069969210947603627,000,000$
4Nick SchmaltzX100.0045448790528797777680737480808450947502866,375,000$
5Sean MonahanX100.0048518786668599749073767978848540907503029,000,000$
6Logan CoutureX100.0077538589666050798280778881947715907503516,500,000$
7Lars EllerX100.0056528279688199618756658675948815967103522,750,000$
8Nic DowdX100.0083517580608087598353658740928620947003411,500,000$
9Jordan MartinookX100.0057478181597999618658647890888430756903212,000,000$
10Michael EyssimontX100.0079646480627498584054617140807750906602831,250,000$
11Keegan KolesarX100.0099677875737397544050586940787655926502711,000,000$
12Kristopher LetangX100.007949758762919973408165887398955948003717,000,000$
13Darnell NurseX100.0089597079778698644062657940828445937502927,500,000$
14Radko GudasX100.0099625179658288584055618840928720887503411,750,000$
15Christopher TanevX100.0054498478628294564059539440948815947403514,500,000$
16John MarinoX100.0052477981548494604063578440788155887102713,800,000$
17Calvin deHaanX100.007847837759778353405056774090842579690332975,000$
18Spencer StastneyX100.004244867953765755404862804072747082650241750,000$
Rayé
1Sam ReinhartX99.0062518296628999927977999481828645968302941$
2Lane PedersonX100.0099617880567565577057577040787755566502711,050,000$
3Nick BoninoX100.0045498675627574508647528476968610776403632,000,000$
Équipe Mineure
1Drake CaggiulaX100.006240768251605060406655594084724065610302900,000$
2Matthew NietoX100.0055448678537458524051547540888130616103212,000,000$
3Liam FoudyX100.0054498777627152544059506140727270615902411,017,500$
4Brett MurrayX100.006171777589635349404356564076706061570261851,000$
5Will BittenX100.004742817551776745403951506976776061550261860,000$
6Carsen TwarynskiX100.009950757564605037403242614078695547540271860,000$
7Samuel LabergeX100.0072705975686858384038386140787355525402711,500,000$
8Josh LopinaX100.005649837565786839703147504070747548530231696,000$
9Serron NoelX100.007167677574605038403936554072667048520241825,000$
10Tyler AngleX100.005360797545605041703646504072667042510241770,000$
11Jack BadiniX100.007361817562605031702934504076686035490261930,000$
12Egor ZamulaX100.0053518078677788604060597340727570706702411,200,000$
13Nikita OkhotyukX100.0099487276617679524053527040727470556702411,018,000$
14Alexander EdlerX100.00795579757455505340525462639977061630381975,000$
15Patrik NemethX100.007660827584555048404550654088723061630324975,000$
16Jack RathboneX100.005541837550736843403946704074746561610251825,000$
17Markus NiemelainenX100.009952807575555031402934624076666061590261930,000$
18Noel HoefenmayerX100.007153637565555044403948664074656561590251930,000$
19Dmitry SemykinX100.006454907573555025402030514072647045530241825,000$
20Grant MismashX100.005045837555605034402939504074676520480251825,000$
MOYENNE D’ÉQUIPE99.93685278806373745553535771508278447165
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 Sorokin100.008998999076787980777883828045908102926,000,000$
2Martin Jones100.00855760957475767476759692842090760343900,000$
Rayé
1Mike Smith100.0081506099616566666771829982083710421575,000$
Équipe Mineure
1Aaron Dell100.00815060895861616061599394781582660352575,000$
2Landon Bow100.00755060965050505050508382664558590292600,000$
3Beck Warm100.00775060805050505050504074626522560252600,000$
MOYENNE D’ÉQUIPE100.0081596792626364636464808775327168
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan78978489878956CAN5743,000,000$


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
1Kristopher LetangBluesD18920297180292550142318.00%3147326.2957123392000073100.00%000001.2300000032
2Claude GirouxBluesC18820281209414693217.39%838621.493111413910000383159.03%51500001.4500000231
3Sam ReinhartBluesRW1391726680164810226728.82%935026.9316724680004631050.70%21300001.4900000421
4Zach HymanBluesLW171012222120271979215712.66%442725.13461022850001790134.55%11000001.0300000001
5Brad MarchandBluesLW1861218-1160493358174210.34%339121.7324619770000542031.25%6400000.9200000202
6Nick SchmaltzBluesC18314174001434815396.25%130917.170448490000141056.28%38200001.1000000020
7Sean MonahanBluesRW18981710032545173020.00%133918.845491580000040055.88%3400001.0000000100
8Logan CoutureBluesC1167134115103536112216.67%416615.13134727000003052.88%20800001.5600001011
9Nic DowdBluesLW1857127160282148133210.42%325013.94101140000211048.15%2700000.9600000120
10Darnell NurseBluesD1847118440559147928.57%2444424.693251092000066010.00%000000.5000000001
11Lars EllerBluesRW1873105408203861918.42%325614.241012200000110059.26%2700000.7800000100
12John MarinoBluesD18268610071183525.00%1823613.110000100002000.00%000000.6800000000
13Radko GudasBluesD18358055156113316119.68%2238121.201121975000154000.00%000000.4200111000
14Christopher TanevBluesD18077000319156100.00%2140322.390221075000066000.00%000000.3500000000
15Keegan KolesarBluesRW17033340951270.00%0955.6101101000000040.00%1000000.6300000000
16Lane PedersonBluesC11123550130233.33%01212.8200000000000045.00%2000003.1200001000
17Jordan MartinookBluesLW181124003185312.50%0512.880000000004000.00%200000.7700000000
18Michael EyssimontBluesLW182022001041350.00%0311.7210112000000025.00%2400001.2900000000
19Calvin deHaanBluesD18112626039440525.00%1524813.8000001000029000.00%000000.1600000000
20Nick BoninoBluesC6011-300074250.00%06410.6800000000000055.74%6100000.3100000000
21Spencer StastneyBluesD7000-100010130.00%2182.710000000002000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne32486152238642312535838164218243113.40%169533716.47285179184849000658712352.80%169700000.890011311139
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 SorokinBlues1812420.8823.81108760695870100.0000180100
2Martin JonesBlues10000.66712.861400390000.0000018000
Statistiques d’équipe totales ou en moyenne1912420.8793.92110160725960100.00001818100


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 2038 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2039 204020412042204320442045Salaire annuel 9Salaire annuel 10Link
Brad MarchandBluesLW361988-05-11No176 Lbs5 ft9NoNoYes3Pro Only8,750,000$8,750,000$1,250,000$No8,750,000$8,750,000$
UFA
Lien / Lien NHL
Calvin deHaanBluesD331991-05-09No192 Lbs6 ft1YesNoNo2Pro & Farm975,000$975,000$139,286$No975,000$
UFA
Lien / Lien NHL
Christopher TanevBluesD351989-12-20No193 Lbs6 ft2NoNoYes1Pro & Farm4,500,000$4,500,000$642,857$No
UFA
Lien / Lien NHL
Claude GirouxBluesC361988-01-12No188 Lbs5 ft11NoNoYes2Pro Only7,000,000$7,000,000$1,000,000$No7,000,000$
UFA
Lien / Lien NHL
Darnell NurseBluesD291995-02-04No215 Lbs6 ft4NoNoYes2Pro Only7,500,000$7,500,000$1,071,429$No7,500,000$
UFA
Lien / Lien NHL
Ilya SorokinBluesG291995-08-04No190 Lbs6 ft3NoNoYes2Pro Only6,000,000$6,000,000$857,143$No6,000,000$
UFA
Lien / Lien NHL
John MarinoBluesD271997-05-21No181 Lbs6 ft1NoNoYes1Pro & Farm3,800,000$3,800,000$542,857$No
UFA
Lien / Lien NHL
Jordan MartinookBluesLW321992-07-25No196 Lbs6 ft0NoNoNo1Pro & Farm2,000,000$2,000,000$285,714$No
UFA
Lien / Lien NHL
Keegan KolesarBluesRW271997-04-08No216 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$142,857$No
UFA
Lien / Lien NHL
Kristopher LetangBluesD371987-04-24No201 Lbs6 ft0NoNoYes1Pro Only7,000,000$7,000,000$1,000,000$No
UFA
Lien / Lien NHL
Lane PedersonBluesC271997-08-04No190 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$1,050,000$150,000$No
UFA
Lien / Lien NHL
Lars EllerBluesRW351989-05-08No205 Lbs6 ft2NoNoYes2Pro & Farm2,750,000$2,750,000$392,857$No2,750,000$
UFA
Lien / Lien NHL
Logan CoutureBluesC351989-03-28No206 Lbs6 ft1NoNoYes1Pro Only6,500,000$6,500,000$928,571$No
UFA
Lien / Lien NHL
Martin JonesBluesG341990-01-10No189 Lbs6 ft4NoNoNo3Pro & Farm900,000$900,000$128,571$No900,000$900,000$
UFA
Lien / Lien NHL
Michael EyssimontBluesLW281996-09-09No201 Lbs6 ft0NoNoNo3Pro & Farm1,250,000$1,250,000$178,571$No1,250,000$1,250,000$
UFA
Lien / Lien NHL
Mike SmithBluesG421982-02-22No210 Lbs6 ft3NoNoNo1Pro & Farm575,000$575,000$82,143$No
UFA
Lien / Lien NHL
Nic DowdBluesLW341990-05-27No193 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$1,500,000$214,286$No
UFA
Lien / Lien NHL
Nick BoninoBluesC361988-04-20No198 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$2,000,000$285,714$No2,000,000$2,000,000$
UFA
Lien / Lien NHL
Nick SchmaltzBluesC281996-02-23No181 Lbs6 ft0NoNoYes6Pro Only6,375,000$6,375,000$910,714$No6,375,000$6,375,000$6,375,000$6,375,000$6,375,000$
UFA
Lien / Lien NHL
Radko GudasBluesD341990-06-05No208 Lbs6 ft0NoNoNo1Pro & Farm1,750,000$1,750,000$250,000$No
UFA
Lien / Lien NHL
Sam ReinhartBluesRW291995-11-06No193 Lbs6 ft2YesNoYes4Pro Only1$1$0$No7,200,000$7,200,000$7,200,000$
UFA
Lien / Lien NHL
Sean MonahanBluesRW301994-10-12No202 Lbs6 ft2NoNoYes2Pro Only9,000,000$9,000,000$1,285,714$No9,000,000$
UFA
Lien / Lien NHL
Spencer StastneyBluesD242000-01-04No184 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$107,143$No
RFA
Lien / Lien NHL
Zach HymanBluesLW321992-06-09No206 Lbs6 ft1NoNoYes4Pro Only7,000,000$7,000,000$1,000,000$No7,000,000$7,000,000$7,000,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2432.04196 Lbs6 ft12.043,746,875$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
89,925,001$66,700,000$33,475,000$20,575,000$6,375,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach HymanClaude GirouxSean Monahan40122
2Brad MarchandNick SchmaltzLars Eller30122
3Nic DowdLogan CoutureKeegan Kolesar20122
4Jordan MartinookZach HymanBrad Marchand10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangDarnell Nurse40122
2Radko GudasChristopher Tanev30122
3John MarinoCalvin deHaan20122
4Spencer StastneyKristopher Letang10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach HymanClaude GirouxSean Monahan60122
2Brad MarchandNick SchmaltzLars Eller40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasChristopher Tanev40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach HymanBrad Marchand60122
2Claude GirouxNick Schmaltz40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasChristopher Tanev40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Hyman60122Kristopher LetangDarnell Nurse60122
2Brad Marchand40122Radko GudasChristopher Tanev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach HymanBrad Marchand60122
2Claude GirouxNick Schmaltz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasChristopher Tanev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach HymanClaude GirouxSean MonahanKristopher LetangDarnell Nurse
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach HymanClaude GirouxSean MonahanKristopher LetangDarnell Nurse
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Eyssimont, Logan Couture, Nic DowdMichael Eyssimont, Logan CoutureNic Dowd
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
John Marino, Calvin deHaan, Spencer StastneyJohn MarinoCalvin deHaan, Spencer Stastney
Tirs de pénalité
Zach Hyman, Brad Marchand, Claude Giroux, Nick Schmaltz, Sean Monahan
Gardien
#1 : Ilya Sorokin, #2 : Martin Jones


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
1Kings5410000028208321000001394220000001511480.800284977001441001815463622168387398351440.00%30970.00%039069656.03%32767648.37%17932555.08%12083126406331
2Predators6420000027207321000001612432100000118380.66727497600881102307791584213646913738615.79%28871.43%039069656.03%32767648.37%17932555.08%14498144457738
3Stars743000003132-1422000001823-532100000139480.571315485001071312316179847215679512334823.53%371072.97%039069656.03%32767648.37%17932555.08%174120162499046
Total18126000008672141064000004744386200000392811240.66786152238003219341642192233204135961692373581072826.17%952771.58%039069656.03%32767648.37%17932555.08%439302433136231116
_Since Last GM Reset18126000008672141064000004744386200000392811240.66786152238003219341642192233204135961692373581072826.17%952771.58%039069656.03%32767648.37%17932555.08%439302433136231116
_Vs Conference18126000008672141064000004744386200000392811240.66786152238003219341642192233204135961692373581072826.17%952771.58%039069656.03%32767648.37%17932555.08%439302433136231116
_Vs Division13850000058526743000003435-16420000024177160.6155810316100181524146113817014211428131164260721419.44%651872.31%039069656.03%32767648.37%17932555.08%3182183079516785

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1824W48615223864259616923735800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1812600008672
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
106400004744
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
86200003928
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1072826.17%952771.58%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
192233204133219341
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
39069656.03%32767648.37%17932555.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
439302433136231116


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
25Stars6Blues8BWSommaire du match
413Stars8Blues3BLSommaire du match
621Blues6Stars2AWSommaire du match
829Blues4Stars3AWSommaire du match
1037Stars5Blues2BLSommaire du match
1245Blues3Stars4ALSommaire du match
1453Stars4Blues5BWXSommaire du match
1659Predators5Blues4BLXSommaire du match
1863Predators2Blues6BWSommaire du match
2067Blues3Predators4ALSommaire du match
2271Blues3Predators2AWSommaire du match
2475Predators5Blues6BWSommaire du match
2679Blues5Predators2AWSommaire du match
3086Kings5Blues4BLXSommaire du match
3288Kings3Blues4BWSommaire du match
3490Blues7Kings5AWSommaire du match
3692Blues8Kings6AWSommaire du match
3894Kings1Blues5BWSommaire du match
4399Blues-Sabres-
44100Blues-Sabres-
45101Sabres-Blues-
46102Sabres-Blues-
47103Blues-Sabres-
48104Sabres-Blues-
49105Blues-Sabres-


Charte de profondeur
Ailier gaucheCentreAilier droit
Zach Hyman
Zach Hyman
AGE:32
SK:91
EN:87
DU:98
PH:84
PA:64
SC:99
DF:78
Brad Marchand
Brad Marchand
AGE:36
SK:93
EN:87
DU:99
PH:79
PA:78
SC:79
DF:78
Nic Dowd
Nic Dowd
AGE:34
SK:80
EN:80
DU:87
PH:59
PA:53
SC:65
DF:87
Jordan Martinook
Jordan Martinook
AGE:32
SK:81
EN:79
DU:99
PH:61
PA:58
SC:64
DF:78
Michael Eyssimont
Michael Eyssimont
AGE:28
SK:80
EN:74
DU:98
PH:58
PA:54
SC:61
DF:71
Drake Caggiula
Drake Caggiula
AGE:30
SK:82
EN:60
DU:50
PH:60
PA:66
SC:55
DF:59
Matthew Nieto
Matthew Nieto
AGE:32
SK:78
EN:74
DU:58
PH:52
PA:51
SC:54
DF:75
Brett Murray
Brett Murray
AGE:26
SK:75
EN:63
DU:53
PH:49
PA:43
SC:56
DF:56
Carsen Twarynski
Carsen Twarynski
AGE:27
SK:75
EN:60
DU:50
PH:37
PA:32
SC:42
DF:61
Samuel Laberge
Samuel Laberge
AGE:27
SK:75
EN:68
DU:58
PH:38
PA:38
SC:38
DF:61
Grant Mismash
Grant Mismash
AGE:25
SK:75
EN:60
DU:50
PH:34
PA:29
SC:39
DF:50
Claude Giroux
Claude Giroux
AGE:36
SK:91
EN:88
DU:99
PH:77
PA:83
SC:71
DF:80
Nick Schmaltz
Nick Schmaltz
AGE:28
SK:90
EN:87
DU:97
PH:77
PA:80
SC:73
DF:74
Logan Couture
Logan Couture
AGE:35
SK:89
EN:60
DU:50
PH:79
PA:80
SC:77
DF:88
Lane Pederson
Lane Pederson
AGE:27
SK:80
EN:75
DU:65
PH:57
PA:57
SC:57
DF:70
Nick Bonino
Nick Bonino
AGE:36
SK:75
EN:75
DU:74
PH:50
PA:47
SC:52
DF:84
Liam Foudy
Liam Foudy
AGE:24
SK:77
EN:71
DU:52
PH:54
PA:59
SC:50
DF:61
Josh Lopina
Josh Lopina
AGE:23
SK:75
EN:78
DU:68
PH:39
PA:31
SC:47
DF:50
Tyler Angle
Tyler Angle
AGE:24
SK:75
EN:60
DU:50
PH:41
PA:36
SC:46
DF:50
Jack Badini
Jack Badini
AGE:26
SK:75
EN:60
DU:50
PH:31
PA:29
SC:34
DF:50
Sam Reinhart
Sam Reinhart
AGE:29
SK:96
EN:89
DU:99
PH:92
PA:77
SC:99
DF:94
Sean Monahan
Sean Monahan
AGE:30
SK:86
EN:85
DU:99
PH:74
PA:73
SC:76
DF:79
Lars Eller
Lars Eller
AGE:35
SK:79
EN:81
DU:99
PH:61
PA:56
SC:65
DF:86
Keegan Kolesar
Keegan Kolesar
AGE:27
SK:75
EN:73
DU:97
PH:54
PA:50
SC:58
DF:69
Will Bitten
Will Bitten
AGE:26
SK:75
EN:77
DU:67
PH:45
PA:39
SC:51
DF:50
Serron Noel
Serron Noel
AGE:24
SK:75
EN:60
DU:50
PH:38
PA:39
SC:36
DF:55

Défense #1Défense #2Gardien
Kristopher Letang
Kristopher Letang
AGE:37
SK:87
EN:91
DU:99
PH:73
PA:81
SC:65
DF:88
Darnell Nurse
Darnell Nurse
AGE:29
SK:79
EN:86
DU:98
PH:64
PA:62
SC:65
DF:79
Radko Gudas
Radko Gudas
AGE:34
SK:79
EN:82
DU:88
PH:58
PA:55
SC:61
DF:88
Christopher Tanev
Christopher Tanev
AGE:35
SK:78
EN:82
DU:94
PH:56
PA:59
SC:53
DF:94
John Marino
John Marino
AGE:27
SK:81
EN:84
DU:94
PH:60
PA:63
SC:57
DF:84
Calvin deHaan
Calvin deHaan
AGE:33
SK:77
EN:77
DU:83
PH:53
PA:50
SC:56
DF:77
Egor Zamula
Egor Zamula
AGE:24
SK:78
EN:77
DU:88
PH:60
PA:60
SC:59
DF:73
Nikita Okhotyuk
Nikita Okhotyuk
AGE:24
SK:76
EN:76
DU:79
PH:52
PA:53
SC:52
DF:70
Spencer Stastney
Spencer Stastney
AGE:24
SK:79
EN:76
DU:57
PH:55
PA:48
SC:62
DF:80
Patrik Nemeth
Patrik Nemeth
AGE:32
SK:75
EN:55
DU:50
PH:48
PA:45
SC:50
DF:65
Alexander Edler
Alexander Edler
AGE:38
SK:75
EN:55
DU:50
PH:53
PA:52
SC:54
DF:62
Jack Rathbone
Jack Rathbone
AGE:25
SK:75
EN:73
DU:68
PH:43
PA:39
SC:46
DF:70
Noel Hoefenmayer
Noel Hoefenmayer
AGE:25
SK:75
EN:55
DU:50
PH:44
PA:39
SC:48
DF:66
Markus Niemelainen
Markus Niemelainen
AGE:26
SK:75
EN:55
DU:50
PH:31
PA:29
SC:34
DF:62
Dmitry Semykin
Dmitry Semykin
AGE:24
SK:75
EN:55
DU:50
PH:25
PA:20
SC:30
DF:51
Ilya Sorokin
Ilya Sorokin
AGE:29
SK:89
AG:76
RB:78
SC:79
HS:80
RT:77
DF:78
Martin Jones
Martin Jones
AGE:34
SK:85
AG:74
RB:75
SC:76
HS:74
RT:76
DF:75
Mike Smith
Mike Smith
AGE:42
SK:81
AG:61
RB:65
SC:66
HS:66
RT:67
DF:71
Aaron Dell
Aaron Dell
AGE:35
SK:81
AG:58
RB:61
SC:61
HS:60
RT:61
DF:59
Landon Bow
Landon Bow
AGE:29
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Beck Warm
Beck Warm
AGE:25
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
Adam EngstromBlues2036104
Jacob LeguerrierBlues2033161
Lukas FischerBlues203882
Patrick HolwayBlues2032168

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041



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 Schmaltz393145233378513466828128711.27%77759219.3231891203165382319450.05%61.00216

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
4Devan Dubnyk1437251180.9102.90850614141145431903820.72892
5Ilya Sorokin81602010.9122.64478210621023870520.88217

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
Total Saison régulière164064371806456837652245483-25982033635002730423526552683-2882030736803726414125692800-231161452249066142902650276170317041409510831950163351719515151529821564921782375457654153019.99%8216169179.42%90280515589350.19%273765789547.29%128852641348.78%376502470039261130932270711252
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
2038181260000086721410640000047443862000003928112486152238003219341642192233204135961692373581072826.17%952771.58%039069656.03%32767648.37%17932555.08%439302433136231116
Total Séries éliminatoires1136350000004153684757292800000216207956342200000199161381264157381153115112715479373637912041215847366610981294249259912921.54%53410380.71%52109425949.52%2032418948.51%964192949.97%2772187927328761511763

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 Reinhart59273360-1104411622012.27%17121220.55713204900046150.63%00.9900
2Drew Doughty4694049-471151801217.44%68118125.6851823860112100.00%00.8300
3Jared Spurgeon469394871234881137.96%70106923.2671118730003200.00%00.9000
4Claude Giroux3116294506231019916.16%1472423.37515202500013255.69%01.2400
5Nick Schmaltz491134456179981497.38%994519.3039123101123155.03%00.9500

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 Sorokin1812420.8823.81108760695870100.0000
3Connor Hellebuyck1511300.8993.2285800464570000.0000
4Devan Dubnyk73220.9152.794510021248108100.0000
5Juuse Saros113530.9063.0467200343620010.0000