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Centre de jeu
Blues
8-0-0, 16pts
3
FINAL
2 Predators
4-7-0, 8pts
Team Stats
W2StreakL2
4-0-0Home Record2-4-0
4-0-0Away Record2-3-0
8-0-0Last 10 Games3-6-1
4.38Goals Per Game3.00
2.63Goals Against Per Game3.55
18.75%Power Play Percentage10.81%
89.66%Penalty Kill Percentage77.78%
Blues
8-0-0, 16pts
3
FINAL
2 Predators
4-7-0, 8pts
Team Stats
W2StreakL2
4-0-0Home Record2-4-0
4-0-0Away Record2-3-0
8-0-0Last 10 Games3-6-1
4.38Goals Per Game3.00
2.63Goals Against Per Game3.55
18.75%Power Play Percentage10.81%
89.66%Penalty Kill Percentage77.78%
Blues
8-0-0, 16pts
Jour 30
Canucks
8-1-0, 16pts
Stats Équipe
W2SéquenceW3
4-0-0Fiche domicile4-1-0
4-0-0Fiche visiteur4-0-0
8-0-010 derniers matchs8-0-1
4.38Buts par match 4.89
2.63Buts contre par match 2.67
18.75%Pourcentage en avantage numérique21.67%
89.66%Pourcentage en désavantage numérique92.16%
Blues
8-0-0, 16pts
Jour 32
Canucks
8-1-0, 16pts
Stats Équipe
W2SéquenceW3
4-0-0Fiche domicile4-1-0
4-0-0Fiche visiteur4-0-0
8-0-010 derniers matchs8-0-1
4.38Buts par match 4.89
2.63Buts contre par match 2.67
18.75%Pourcentage en avantage numérique21.67%
89.66%Pourcentage en désavantage numérique92.16%
Canucks
8-1-0, 16pts
Jour 34
Blues
8-0-0, 16pts
Stats Équipe
W3SéquenceW2
4-1-0Fiche domicile4-0-0
4-0-0Fiche visiteur4-0-0
8-0-110 derniers matchs8-0-0
4.89Buts par match 4.38
2.67Buts contre par match 2.63
21.67%Pourcentage en avantage numérique18.75%
92.16%Pourcentage en désavantage numérique89.66%
Meneurs d'équipe
Brad MarchandButs
Brad Marchand
5
Brad MarchandPasses
Brad Marchand
8
Brad MarchandPoints
Brad Marchand
13
Nick SchmaltzPlus/Moins
Nick Schmaltz
7
Connor HellebuyckVictoires
Connor Hellebuyck
8
Connor HellebuyckPourcentage d’arrêts
Connor Hellebuyck
0.915

Stats Équipe
Buts pour
35
4.38 GFG
Tirs pour
296
37.00 Avg
Pourcentage en avantage numérique
18.8%
9 GF
Début de zone offensive
42.5%
Buts contre
21
2.63 GAA
Tirs contre
247
30.88 Avg
Pourcentage en désavantage numérique
89.7%
3 GA
Début de la zone défensive
39.2%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralMaxime Barabe
EntraîneurTodd McLellan
DivisionCentral
ConférenceWestern
Capitaine
Assistant #1
Assistant #2Morgan Rielly
Uniformes
Informations de l’aréna
NomAnheuser-Busch Center
Capacité25,000
Assistance23,688
Billets de saison10,000
Information formation
Équipe Pro23
Équipe Mineure25
Limite contact 48 / 50
Espoirs2
Plafond salarial
Cap Salarial de la Saison estimé0$
Plafond salarial disponible85,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23
Finance
Revenu annuel à ce jour8,395,139$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel275,124,152$
Compte bancaire projeté275,124,152$
Historique d'équipe
Saison actuelle8-0
Historique730-697-139 (0.466%)
Apparitions séries éliminatoires 8
Historique séries éliminatoires (W-L)48-40
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 HymanX100.0063558093698897884089877040848640958003157,000,000$
2Claude GirouxX100.0061458295548699859384858069928920948003517,500,000$
3Nick SchmaltzX100.0044448493528786837587797979768260997702715,000,000$
4Brad MarchandX100.0066397095438693834092747560928920927703511$
5Sam ReinhartX100.0057498789628799798676817473788355997602857,200,000$
6David PerronX100.0071487787618399734072747075928820977403535,250,000$
7Jonathan Audy-MarchessaultX100.0063448491478395764071806763888630997303336,500,000$
8Conor ShearyX100.0056408585458199644062658365848340997003112,400,000$
9Jordan MartinookX100.0063507582598199624061638040848340996903122,000,000$
10Yegor SharangovichX100.0047498680637994616859648199727670896802543,000,000$
11Michael EyssimontX100.008654678051758056405558774076766095650271975,000$
12Kristopher LetangX100.0099498188629187754077737773949315977903627,000,000$
13Jeff PetryX100.0099548282728785684075608240949115877803634,000,000$
14Morgan Rielly (A)X100.0065588484748687724087586640808350987302926,000,000$
15Carson SoucyX100.0083607375757796544054558140807950907202911,900,000$
16Christopher TanevX100.0058528477628387544055528840908725997203424,500,000$
17Alexander EdlerX100.007955797574748753405254726396851084700372975,000$
18Patrik NemethX100.007660827584799448404550754084824091700315975,000$
Rayé
1Curtis LazarX100.0099538175637477498743557740787655546302821,250,000$
2Radko GudasX100.0099596878657992554057538040888430687303321,750,000$
Équipe Mineure
1Matthew NietoX100.0052448681537798574052627640848140596503122,000,000$
2Keegan KolesarX100.0099717275747494554051596540747465356402611,331,000$
3Lane PedersonX100.009961717857746254864959714074746538630261952,270$
4Drake CaggiulaX100.006240768245746458405958704080775035620293900,000$
5Liam FoudyX100.006347877759758554404959724068728043620231925,000$
6Brett MurrayX100.006171777585807053405057594072767035610251773,000$
7Rhett GardnerX100.008458697580807048705542704076786035610271842,160$
8Will BittenX100.004742797951746453404958706972737035600251773,300$
9Carsen TwarynskiX100.009950717564807040403050704074776536580261842,000$
10Anton SlepyshevX100.005956777576505054405553504080655037560292750,000$
11Samuel LabergeX100.0072706775686050404035457040746765375502611,331,000$
12Radim SimekX100.008754777563747348404453774084794035670312725,000$
13Calvin deHaanX100.007748827861727955405555704086793535670323975,000$
14Markus NiemelainenX100.009952877568675945404050624072707033620251842,000$
15Nikita OkhotyukX100.009948867661695051404062614068698053610231925,000$
16Noel HoefenmayerX100.007153557661696452405451584070707535610241842,000$
17Jack RathboneX100.005541868046745154404761634070727547600241750,000$
18Roland McKeownX100.0047687775616459424042427040767060355902711,452,000$
19Juuso RiikolaX100.008846817756525252407032504082674535590301925,000$
20Tyler AngleX100.005360827543756539703544524068728019520231696,300$
21Jack BadiniX100.007361817562605031702934504072667020490251842,000$
22Grant MismashX100.005045837555605034402939504070657520480241750,000$
23Dmitry SemykinX100.006454907573505025402030514068598019520231750,000$
24Olivier LeBlancX100.005756857547505028402530504076636020500271695,750$
MOYENNE D’ÉQUIPE100.00725379806275765648555769487977526065
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
1Connor Hellebuyck100.009099999790918988878986828745988903058,000,000$
2Landon Bow100.00755060965050505050508378645575590283600,000$
Rayé
1David Rittich100.007756609364747371706897847940837203121,500,000$
Équipe Mineure
1Beck Warm100.00775060805050505050504070607544560243600,000$
MOYENNE D’ÉQUIPE100.0080647092646666656464777973547569
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan75848981878956CAN5753,000,000$


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
1Brad MarchandBluesLW8581328022113562014.29%416821.081458390110142025.00%1200001.5400000202
2Nick SchmaltzBluesRW857127204133493314.71%416520.632139350111131152.17%2300001.4500000100
3Zach HymanBluesRW848121209103982010.26%220225.332248390000282020.00%2500001.1800000120
4Claude GirouxBluesC85712140123938142913.16%120225.331349390001260154.97%32200001.1800000111
5Sam ReinhartBluesC845960012192861914.29%415219.00022437000031053.77%19900001.1800000021
6Carson SoucyBluesD82576195172103420.00%1616220.32123436000016000.00%000000.8600001100
7Jonathan Audy-MarchessaultBluesLW82576100169215199.52%214818.57000436000002016.67%600000.9400000001
8Morgan RiellyBluesD816766037102710.00%516720.92022737101118000.00%000000.8400000001
9Kristopher LetangBluesD8156095291017685.88%920725.88112738000024000.00%000000.5800001000
10David PerronBluesRW84040005121521926.67%010513.1800000000000154.55%1100000.7600000100
11Christopher TanevBluesD821320048110218.18%510312.991012200000000.00%000000.5800000000
12Conor ShearyBluesLW8022020013159180.00%011314.1300000000080031.25%1600000.3500000000
13Michael EyssimontBluesC80220135201511880.00%210312.9200000000000038.53%10900000.3900001000
14Jeff PetryBluesD8011-21151749590.00%2018623.30000737000022000.00%000000.1100001010
15Alexander EdlerBluesD8011200100000.00%1243.030000100002000.00%000000.8200000000
16Patrik NemethBluesD80112401512120.00%411113.9000000000011000.00%000000.1800000000
17Jordan MartinookBluesRW8000000211000.00%0141.8500000000000033.33%300000.0000000000
18Yegor SharangovichBluesRW8000000000000.00%040.540000100000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne1443564993990201881742968421711.82%79234316.27917266938512331908349.38%72700000.8500004766
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
1Connor HellebuyckBlues88000.9152.6248100212470000.000080001
Statistiques d’équipe totales ou en moyenne88000.9152.6248100212470000.000080001


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 2037 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2038 203920402041204220432044Salaire annuel 9Salaire annuel 10Link
Alexander EdlerBluesD371986-04-21No210 Lbs6 ft4YesNoNo2Pro & Farm975,000$975,000$325,000$No975,000$
UFA
Lien / Lien NHL
Brad MarchandBluesLW351988-05-11No176 Lbs5 ft9YesNoYes1Pro Only1$1$0$No
UFA
Lien / Lien NHL
Carson SoucyBluesD291994-07-27No208 Lbs6 ft5NoNoNo1Pro & Farm1,900,000$1,900,000$633,333$No
UFA
Lien / Lien NHL
Christopher TanevBluesD341989-12-20No193 Lbs6 ft2NoNoYes2Pro & Farm4,500,000$4,500,000$1,500,000$No4,500,000$
UFA
Lien / Lien NHL
Claude GirouxBluesC351988-01-12No190 Lbs5 ft11NoNoYes1Pro Only7,500,000$7,500,000$2,500,000$No
UFA
Lien / Lien NHL
Connor HellebuyckBluesG301993-05-19No207 Lbs6 ft4NoNoYes5Pro Only8,000,000$8,000,000$2,666,667$No8,000,000$8,000,000$8,000,000$8,000,000$
UFA
Lien / Lien NHL
Conor ShearyBluesLW311992-06-08No179 Lbs5 ft9NoNoYes1Pro & Farm2,400,000$2,400,000$800,000$No
UFA
Lien / Lien NHL
Curtis LazarBluesC281995-02-02No203 Lbs6 ft0NoNoNo2Pro & Farm1,250,000$1,250,000$416,667$No1,250,000$
UFA
Lien / Lien NHL
David PerronBluesRW351988-05-28No196 Lbs6 ft1NoNoYes3Pro Only5,250,000$5,250,000$1,750,000$No5,250,000$5,250,000$
UFA
Lien / Lien NHL
David RittichBluesG311992-08-19No200 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$1,500,000$500,000$No1,500,000$
UFA
Lien / Lien NHL
Jeff PetryBluesD361987-12-09No209 Lbs6 ft3NoNoYes3Pro & Farm4,000,000$4,000,000$1,333,333$No4,000,000$4,000,000$
UFA
Lien / Lien NHL
Jonathan Audy-MarchessaultBluesLW331990-12-27No183 Lbs5 ft9NoNoYes3Pro Only6,500,000$6,500,000$2,166,667$No6,500,000$6,500,000$
UFA
Lien / Lien NHL
Jordan MartinookBluesRW311992-07-25No196 Lbs6 ft0NoNoNo2Pro & Farm2,000,000$2,000,000$666,667$No2,000,000$
UFA
Lien / Lien NHL
Kristopher LetangBluesD361987-04-24No201 Lbs6 ft0NoNoYes2Pro Only7,000,000$7,000,000$2,333,333$No7,000,000$
UFA
Lien / Lien NHL
Landon BowBluesG281995-08-24No208 Lbs6 ft5NoNoNo3Pro & Farm600,000$600,000$200,000$No600,000$600,000$
UFA
Lien / Lien NHL
Michael EyssimontBluesC271996-09-09No180 Lbs6 ft0NoNoNo1Pro & Farm975,000$975,000$325,000$No
UFA
Lien / Lien NHL
Morgan RiellyBluesD291994-03-09No222 Lbs6 ft1NoNoYes2Pro Only6,000,000$6,000,000$2,000,000$No6,000,000$
UFA
Lien / Lien NHL
Nick SchmaltzBluesRW271996-02-23No181 Lbs6 ft0NoNoYes1Pro & Farm5,000,000$5,000,000$1,666,667$No
UFA
Lien / Lien NHL
Patrik NemethBluesD311992-02-08No230 Lbs6 ft4YesNoNo5Pro & Farm975,000$975,000$325,000$No975,000$975,000$975,000$975,000$
UFA
Lien / Lien NHL
Radko GudasBluesD331990-06-05No208 Lbs6 ft0NoNoNo2Pro & Farm1,750,000$1,750,000$583,333$No1,750,000$
UFA
Lien / Lien NHL
Sam ReinhartBluesC281995-11-06No193 Lbs6 ft2NoNoYes5Pro Only7,200,000$7,200,000$2,400,000$No7,200,000$7,200,000$7,200,000$7,200,000$
UFA
Lien / Lien NHL
Yegor SharangovichBluesRW251998-06-06No196 Lbs6 ft2NoNoYes4Pro & Farm3,000,000$3,000,000$1,000,000$No3,000,000$3,000,000$3,000,000$
UFA
Lien / Lien NHL
Zach HymanBluesRW311992-06-09No211 Lbs6 ft1NoNoYes5Pro Only7,000,000$7,000,000$2,333,333$No7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2331.30199 Lbs6 ft12.523,707,609$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
85,275,001$67,500,000$42,525,000$26,175,000$23,175,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandClaude GirouxZach Hyman40122
2Jonathan Audy-MarchessaultSam ReinhartNick Schmaltz30122
3Conor ShearyMichael EyssimontDavid Perron20122
4Zach HymanClaude GirouxJordan Martinook10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangJeff Petry40122
2Morgan RiellyCarson Soucy30122
3Christopher TanevPatrik Nemeth20122
4Alexander EdlerKristopher Letang10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandClaude GirouxZach Hyman60122
2Jonathan Audy-MarchessaultSam ReinhartNick Schmaltz40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangJeff Petry60122
2Morgan RiellyCarson Soucy40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Claude GirouxZach Hyman60122
2Nick SchmaltzBrad Marchand40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangJeff Petry60122
2Morgan RiellyCarson Soucy40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Claude Giroux60122Kristopher LetangJeff Petry60122
2Zach Hyman40122Morgan RiellyCarson Soucy40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Claude GirouxZach Hyman60122
2Nick SchmaltzBrad Marchand40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangJeff Petry60122
2Morgan RiellyCarson Soucy40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandClaude GirouxZach HymanKristopher LetangJeff Petry
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandClaude GirouxZach HymanKristopher LetangJeff Petry
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Yegor Sharangovich, David Perron, Conor ShearyYegor Sharangovich, David PerronConor Sheary
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christopher Tanev, Patrik Nemeth, Alexander EdlerChristopher TanevPatrik Nemeth, Alexander Edler
Tirs de pénalité
Claude Giroux, Zach Hyman, Nick Schmaltz, Brad Marchand, Sam Reinhart
Gardien
#1 : Connor Hellebuyck, #2 : Landon Bow


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
1GoldenKnights4400000018108220000009542200000095481.0001832500049501524666400131404010016212.50%18288.89%115330949.51%13928548.77%6713350.38%1027388274824
2Predators44000000171162200000011742200000064281.000173249006641144406340111639508832721.88%11190.91%015330949.51%13928548.77%6713350.38%1067484295026
Total880000003521144400000020128440000001596161.0003564990010159129686129801247799018848918.75%29389.66%115330949.51%13928548.77%6713350.38%209147172579951
_Since Last GM Reset880000003521144400000020128440000001596161.0003564990010159129686129801247799018848918.75%29389.66%115330949.51%13928548.77%6713350.38%209147172579951
_Vs Conference880000003521144400000020128440000001596161.0003564990010159129686129801247799018848918.75%29389.66%115330949.51%13928548.77%6713350.38%209147172579951
_Vs Division44000000171162200000011742200000064281.000173249006641144406340111639508832721.88%11190.91%015330949.51%13928548.77%6713350.38%1067484295026

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
816W2356499296247799018800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
88000003521
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
44000002012
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4400000159
Derniers 10 matchs
WLOTWOTL SOWSOL
701000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
48918.75%29389.66%1
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
86129801101591
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
15330949.51%13928548.77%6713350.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
209147172579951


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
25GoldenKnights2Blues4BWSommaire du match
413GoldenKnights3Blues5BWSommaire du match
621Blues4GoldenKnights1AWSommaire du match
829Blues5GoldenKnights4AWSommaire du match
1659Predators4Blues7BWSommaire du match
1863Predators3Blues4BWXSommaire du match
2067Blues3Predators2AWSommaire du match
2271Blues3Predators2AWSommaire du match
3086Blues-Canucks-
3288Blues-Canucks-
3490Canucks-Blues-
3692Canucks-Blues-
3894Blues-Canucks-
4096Canucks-Blues-
4298Blues-Canucks-


Charte de profondeur
Ailier gaucheCentreAilier droit
Brad Marchand
Brad Marchand
AGE:35
SK:95
EN:86
DU:93
PH:83
PA:92
SC:74
DF:75
Jonathan Audy-Marchessault
Jonathan Audy-Marchessault
AGE:33
SK:91
EN:83
DU:95
PH:76
PA:71
SC:80
DF:67
Conor Sheary
Conor Sheary
AGE:31
SK:85
EN:81
DU:99
PH:64
PA:62
SC:65
DF:83
Brett Murray
Brett Murray
AGE:25
SK:75
EN:80
DU:70
PH:53
PA:50
SC:57
DF:59
Carsen Twarynski
Carsen Twarynski
AGE:26
SK:75
EN:80
DU:70
PH:40
PA:30
SC:50
DF:70
Anton Slepyshev
Anton Slepyshev
AGE:29
SK:75
EN:50
DU:50
PH:54
PA:55
SC:53
DF:50
Samuel Laberge
Samuel Laberge
AGE:26
SK:75
EN:60
DU:50
PH:40
PA:35
SC:45
DF:70
Tyler Angle
Tyler Angle
AGE:23
SK:75
EN:75
DU:65
PH:39
PA:35
SC:44
DF:52
Grant Mismash
Grant Mismash
AGE:24
SK:75
EN:60
DU:50
PH:34
PA:29
SC:39
DF:50
Claude Giroux
Claude Giroux
AGE:35
SK:95
EN:86
DU:99
PH:85
PA:84
SC:85
DF:80
Sam Reinhart
Sam Reinhart
AGE:28
SK:89
EN:87
DU:99
PH:79
PA:76
SC:81
DF:74
Michael Eyssimont
Michael Eyssimont
AGE:27
SK:80
EN:75
DU:80
PH:56
PA:55
SC:58
DF:77
Lane Pederson
Lane Pederson
AGE:26
SK:78
EN:74
DU:62
PH:54
PA:49
SC:59
DF:71
Curtis Lazar
Curtis Lazar
AGE:28
SK:75
EN:74
DU:77
PH:49
PA:43
SC:55
DF:77
Drake Caggiula
Drake Caggiula
AGE:29
SK:82
EN:74
DU:64
PH:58
PA:59
SC:58
DF:70
Rhett Gardner
Rhett Gardner
AGE:27
SK:75
EN:80
DU:70
PH:48
PA:55
SC:42
DF:70
Jack Badini
Jack Badini
AGE:25
SK:75
EN:60
DU:50
PH:31
PA:29
SC:34
DF:50
Zach Hyman
Zach Hyman
AGE:31
SK:93
EN:88
DU:97
PH:88
PA:89
SC:87
DF:70
Nick Schmaltz
Nick Schmaltz
AGE:27
SK:93
EN:87
DU:86
PH:83
PA:87
SC:79
DF:79
David Perron
David Perron
AGE:35
SK:87
EN:83
DU:99
PH:73
PA:72
SC:74
DF:70
Jordan Martinook
Jordan Martinook
AGE:31
SK:82
EN:81
DU:99
PH:62
PA:61
SC:63
DF:80
Yegor Sharangovich
Yegor Sharangovich
AGE:25
SK:80
EN:79
DU:94
PH:61
PA:59
SC:64
DF:81
Matthew Nieto
Matthew Nieto
AGE:31
SK:81
EN:77
DU:98
PH:57
PA:52
SC:62
DF:76
Keegan Kolesar
Keegan Kolesar
AGE:26
SK:75
EN:74
DU:94
PH:55
PA:51
SC:59
DF:65
Liam Foudy
Liam Foudy
AGE:23
SK:77
EN:75
DU:85
PH:54
PA:49
SC:59
DF:72
Will Bitten
Will Bitten
AGE:25
SK:79
EN:74
DU:64
PH:53
PA:49
SC:58
DF:70

Défense #1Défense #2Gardien
Kristopher Letang
Kristopher Letang
AGE:36
SK:88
EN:91
DU:87
PH:75
PA:77
SC:73
DF:77
Jeff Petry
Jeff Petry
AGE:36
SK:82
EN:87
DU:85
PH:68
PA:75
SC:60
DF:82
Morgan Rielly
Morgan Rielly
AGE:29
SK:84
EN:86
DU:87
PH:72
PA:87
SC:58
DF:66
Radko Gudas
Radko Gudas
AGE:33
SK:78
EN:79
DU:92
PH:55
PA:57
SC:53
DF:80
Carson Soucy
Carson Soucy
AGE:29
SK:75
EN:77
DU:96
PH:54
PA:54
SC:55
DF:81
Christopher Tanev
Christopher Tanev
AGE:34
SK:77
EN:83
DU:87
PH:54
PA:55
SC:52
DF:88
Patrik Nemeth
Patrik Nemeth
AGE:31
SK:75
EN:79
DU:94
PH:48
PA:45
SC:50
DF:75
Alexander Edler
Alexander Edler
AGE:37
SK:75
EN:74
DU:87
PH:53
PA:52
SC:54
DF:72
Radim Simek
Radim Simek
AGE:31
SK:75
EN:74
DU:73
PH:48
PA:44
SC:53
DF:77
Calvin deHaan
Calvin deHaan
AGE:32
SK:78
EN:72
DU:79
PH:55
PA:55
SC:55
DF:70
Markus Niemelainen
Markus Niemelainen
AGE:25
SK:75
EN:67
DU:59
PH:45
PA:40
SC:50
DF:62
Nikita Okhotyuk
Nikita Okhotyuk
AGE:23
SK:76
EN:69
DU:50
PH:51
PA:40
SC:62
DF:61
Noel Hoefenmayer
Noel Hoefenmayer
AGE:24
SK:76
EN:69
DU:64
PH:52
PA:54
SC:51
DF:58
Jack Rathbone
Jack Rathbone
AGE:24
SK:80
EN:74
DU:51
PH:54
PA:47
SC:61
DF:63
Roland McKeown
Roland McKeown
AGE:27
SK:75
EN:64
DU:59
PH:42
PA:42
SC:42
DF:70
Juuso Riikola
Juuso Riikola
AGE:30
SK:77
EN:52
DU:52
PH:52
PA:70
SC:32
DF:50
Dmitry Semykin
Dmitry Semykin
AGE:23
SK:75
EN:50
DU:50
PH:25
PA:20
SC:30
DF:51
Olivier LeBlanc
Olivier LeBlanc
AGE:27
SK:75
EN:50
DU:50
PH:28
PA:25
SC:30
DF:50
Connor Hellebuyck
Connor Hellebuyck
AGE:30
SK:90
AG:90
RB:91
SC:89
HS:88
RT:87
DF:89
David Rittich
David Rittich
AGE:31
SK:77
AG:64
RB:74
SC:73
HS:71
RT:70
DF:68
Landon Bow
Landon Bow
AGE:28
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Beck Warm
Beck Warm
AGE:24
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
2040



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
2Denis Tolpeko1308223419642-598201731177624409.14%8212302717.6048871352424101452301855.08%20.561031
3Mika Zibanejad708186282468-1055951133123019319.63%1401346819.0249127176487381148191051.38%20.691137
4Shane Doan527183243426-11963814101138182910.01%1801329925.245610115752594136622735.24%00.64750
5Morgan Rielly391612773387140263647756110.87%439883422.60498813739008821310.00%10.7700

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
5Jaroslav Halak93522730.9013.00505816525325480510.91323

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
Total Saison régulière155858869706355797648715263-39277931333502630403524932563-7077927536203725394123782700-32214934871844713318244413316061596140248036898153531620415112504951496920865357697200142519.79%7821162279.26%86262715258949.96%258695497047.06%121452505648.47%355672324437425124922168010723
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
2037880000003521144400000020128440000001596163564990010159129686129801247799018848918.75%29389.66%115330949.51%13928548.77%6713350.38%209147172579951
Total Séries éliminatoires88484000000305266394422220000015814810442618000001471182996305544849111010011477285386904945827281585798419964529521.02%4107082.93%51597329648.45%1591324149.09%733148249.46%2159145421286881191604

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
1Drew Doughty4694049-471151801217.44%68118125.6851823860112100.00%00.8300
2Jared Spurgeon469394871234881137.96%70106923.2671118730003200.00%00.9000
3Mika Zibanejad37132134431388710612.26%572719.6639122210122051.26%00.9300
4Morgan Rielly32428328303641596.78%4774023.1501010421011000.00%00.8600
5Nazem Kadri46141428-13501518610113.86%889319.4349132800012149.28%00.6300

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
2Connor Hellebuyck88000.9152.6248100212470000.0000
3Devan Dubnyk73220.9152.794510021248108100.0000
4Juuse Saros113530.9063.0467200343620010.0000
5Mike Condon42000.9221.83164005640100.0000