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Meneurs d'équipe

Stats Équipe
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
Assistance
Billets de saison10,000
Information formation
Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs3
Plafond salarial
Cap Salarial de la Saison estimé0$
Plafond salarial disponible90,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial13
Finance
Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel298,057,892$
Compte bancaire projeté298,057,892$
Historique d'équipe
Saison actuelle0-0-0 (0PTS)
Historique790-718-140 (0.479%)
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 ReinhartX100.0071518394618997877684908981828645208102937,200,000$
2Sean MonahanX100.0053508393648780888898798779848640208003019,000,000$
3Nick SchmaltzX100.0044448790538699778483706977808350207302856,375,000$
4Brad MarchandX100.0067407290458592744072777262969110207303628,750,000$
5Claude GirouxX100.0059448687538598709775657868969110207303617,000,000$
6Zach HymanX100.0059518184668693704059807040888730207003237,000,000$
7Jordan MartinookX100.0065518581678097644062668090888430207003200$
8Nic DowdX100.0077487679608099598553649040928620206903400$
9Keegan KolesarX100.0099717778737799604058627040787855206702700$
10Lars EllerX100.0057528177697798568752606873948615206503512,750,000$
11Michael EyssimontX100.0073547478577296544047606340807650206202821,250,000$
12Lane PedersonX100.0099616877566050527052535740786955205902700$
13Kristopher LetangX100.007847768358899464406365827198945207503700$
14Darnell NurseX100.0090677179778795644070588140828545207502917,500,000$
15Radko GudasX100.0099556977658398534055528140928820207303400$
16John MarinoX100.0046498981638567624070547840788255206802700$
17Calvin deHaanX100.007547857659747552405450684090822520660331975,000$
Rayé
1Nick BoninoX100.0045498675626050508647526476967810205803622,000,000$
2Christopher TanevX100.0046518476678294564056558640948815207103500$
3Spencer StastneyX100.0048448777537759504051507040727570206202400$
Équipe Mineure
1Drake CaggiulaX100.006240688251716159405762709084784020630301900,000$
2Brett MurrayX100.0061718175857565554047647040767660206202600$
3Matthew NietoX100.0069458877547565494045536940888230206003200$
4Liam FoudyX100.0054498376577969514049535040727670205702400$
5Carsen TwarynskiX100.0099507775646050404039415840786955205402700$
6Will BittenX100.0047428175516050454039515069766860205202600$
7Serron NoelX100.0071676775746050384039365540726670205202400$
8Tyler AngleX100.0053607975456050417036465040726670205102400$
9Josh LopinaX100.0056498375657161347033345040707175205002300$
10Samuel LabergeX100.0072705075686050294022365140786955204802700$
11Egor ZamulaX100.0049518876677786564056567440727570206602400$
12Nikita OkhotyukX100.0099487276615550524053527040726470206302400$
13Noel HoefenmayerX100.0071537875655550474051446740746565206002500$
14Markus NiemelainenX100.0099528075755550314029346240766660205902600$
15Jack RathboneX100.0055417475506762424042426999747165205902500$
16Grant MismashX100.0050458375556050344029395040746765204802500$
17Adam Engstrom (R)X100.0069537884647065434047397073666885206302100$
MOYENNE D’ÉQUIPE100.00675279796273735451535569538178462064
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 Sorokin100.009299999687868790898984828445208702916,000,000$
2Martin Jones100.00855060955050505050505092712020600342900,000$
Rayé
Équipe Mineure
1Aaron Dell100.00815060895050505050508794721520590351575,000$
2Landon Bow100.00755060965050505050508382664520580291600,000$
3Beck Warm100.00775060805050505050504074626520560251600,000$
MOYENNE D’ÉQUIPE100.0082606891575757585858698571382064
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
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


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
Brad MarchandBluesLW361988-05-11No180 Lbs5 ft9NoNoYes2Pro Only8,750,000$8,750,000$8,750,000$No8,750,000$
UFA
Lien / Lien NHL
Calvin deHaanBluesD331991-05-09No192 Lbs6 ft1NoNoNo1Pro & Farm975,000$975,000$975,000$No
UFA
Lien / Lien NHL
Christopher TanevBluesD351989-12-20No199 Lbs6 ft3NoNoYes0Pro & Farm
UFA
0$0$NoLien / Lien NHL
Claude GirouxBluesRW361988-01-12No188 Lbs5 ft11NoNoYes1Pro Only7,000,000$7,000,000$7,000,000$No
UFA
Lien / Lien NHL
Darnell NurseBluesD291995-02-04No215 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$7,500,000$No
UFA
Lien / Lien NHL
Ilya SorokinBluesG291995-08-04No190 Lbs6 ft3NoNoYes1Pro Only6,000,000$6,000,000$6,000,000$No
UFA
Lien / Lien NHL
John MarinoBluesD271997-05-21No200 Lbs6 ft1NoNoYes0Pro & Farm
RFA
0$0$NoLien / Lien NHL
Jordan MartinookBluesLW321992-07-25No208 Lbs6 ft1NoNoNo0Pro & Farm
UFA
0$0$NoLien / Lien NHL
Keegan KolesarBluesRW271997-04-08No216 Lbs6 ft2NoNoNo0Pro & Farm
RFA
0$0$NoLien / Lien NHL
Kristopher LetangBluesD371987-04-24No193 Lbs6 ft0NoNoYes0Pro Only
UFA
0$0$NoLien / Lien NHL
Lane PedersonBluesC271997-08-04No190 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLien / Lien NHL
Lars EllerBluesC351989-05-08No208 Lbs6 ft2NoNoYes1Pro & Farm2,750,000$2,750,000$2,750,000$No
UFA
Lien / Lien NHL
Martin JonesBluesG341990-01-10No189 Lbs6 ft4NoNoNo2Pro & Farm900,000$900,000$900,000$No900,000$
UFA
Lien / Lien NHL
Michael EyssimontBluesC281996-09-09No191 Lbs6 ft0NoNoNo2Pro & Farm1,250,000$1,250,000$1,250,000$No1,250,000$
UFA
Lien / Lien NHL
Nic DowdBluesC341990-05-27No190 Lbs6 ft2NoNoNo0Pro & Farm
UFA
0$0$NoLien / Lien NHL
Nick BoninoBluesC361988-04-20No198 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$2,000,000$2,000,000$No2,000,000$
UFA
Lien / Lien NHL
Nick SchmaltzBluesC281996-02-23No184 Lbs6 ft0NoNoYes5Pro Only6,375,000$6,375,000$6,375,000$No6,375,000$6,375,000$6,375,000$6,375,000$
UFA
Lien / Lien NHL
Radko GudasBluesD341990-06-05No208 Lbs6 ft0NoNoNo0Pro & Farm
UFA
0$0$NoLien / Lien NHL
Sam ReinhartBluesC291995-11-06No196 Lbs6 ft1NoNoYes3Pro Only7,200,000$7,200,000$7,200,000$No7,200,000$7,200,000$
UFA
Lien / Lien NHL
Sean MonahanBluesC301994-10-12No197 Lbs6 ft2NoNoYes1Pro Only9,000,000$9,000,000$9,000,000$No
UFA
Lien / Lien NHL
Spencer StastneyBluesD242000-01-04No184 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLien / Lien NHL
Zach HymanBluesLW321992-06-09No206 Lbs6 ft1NoNoYes3Pro Only7,000,000$7,000,000$7,000,000$No7,000,000$7,000,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2231.45196 Lbs6 ft11.143,031,818$

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



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach HymanClaude GirouxSam Reinhart40122
2Brad MarchandSean Monahan30122
3Nic DowdNick SchmaltzLars Eller20122
4Jordan MartinookLane PedersonKeegan Kolesar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangDarnell Nurse40122
2Radko GudasJohn Marino30122
3Calvin deHaanKristopher Letang20122
4Darnell NurseRadko Gudas10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach HymanClaude GirouxSam Reinhart60122
2Brad MarchandSean Monahan40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasJohn Marino40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam ReinhartZach Hyman60122
2Brad MarchandClaude Giroux40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasJohn Marino40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Reinhart60122Kristopher LetangDarnell Nurse60122
2Zach Hyman40122Radko GudasJohn Marino40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam ReinhartZach Hyman60122
2Brad MarchandClaude Giroux40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasJohn Marino40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach HymanClaude GirouxSam ReinhartKristopher LetangDarnell Nurse
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach HymanClaude GirouxSam ReinhartKristopher LetangDarnell Nurse
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Eyssimont, Nick Schmaltz, Lars EllerMichael Eyssimont, Nick SchmaltzLars Eller
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calvin deHaan, John Marino, Kristopher LetangCalvin deHaanJohn Marino, Kristopher Letang
Tirs de pénalité
Sam Reinhart, Zach Hyman, Brad Marchand, Claude Giroux,
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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


Charte de profondeur
Ailier gaucheCentreAilier droit
Brad Marchand
Brad Marchand
AGE:36
SK:90
EN:85
DU:92
PH:74
PA:72
SC:77
DF:72
Zach Hyman
Zach Hyman
AGE:32
SK:84
EN:86
DU:93
PH:70
PA:59
SC:80
DF:70
Jordan Martinook
Jordan Martinook
AGE:32
SK:81
EN:80
DU:97
PH:64
PA:62
SC:66
DF:80
Drake Caggiula
Drake Caggiula
AGE:30
SK:82
EN:71
DU:61
PH:59
PA:57
SC:62
DF:70
Brett Murray
Brett Murray
AGE:26
SK:75
EN:75
DU:65
PH:55
PA:47
SC:64
DF:70
Matthew Nieto
Matthew Nieto
AGE:32
SK:77
EN:75
DU:65
PH:49
PA:45
SC:53
DF:69
Carsen Twarynski
Carsen Twarynski
AGE:27
SK:75
EN:60
DU:50
PH:40
PA:39
SC:41
DF:58
Grant Mismash
Grant Mismash
AGE:25
SK:75
EN:60
DU:50
PH:34
PA:29
SC:39
DF:50
Samuel Laberge
Samuel Laberge
AGE:27
SK:75
EN:60
DU:50
PH:29
PA:22
SC:36
DF:51
Sam Reinhart
Sam Reinhart
AGE:29
SK:94
EN:89
DU:97
PH:87
PA:84
SC:90
DF:89
Sean Monahan
Sean Monahan
AGE:30
SK:93
EN:87
DU:80
PH:88
PA:98
SC:79
DF:87
Nick Schmaltz
Nick Schmaltz
AGE:28
SK:90
EN:86
DU:99
PH:77
PA:83
SC:70
DF:69
Nic Dowd
Nic Dowd
AGE:34
SK:79
EN:80
DU:99
PH:59
PA:53
SC:64
DF:90
Lars Eller
Lars Eller
AGE:35
SK:77
EN:77
DU:98
PH:56
PA:52
SC:60
DF:68
Michael Eyssimont
Michael Eyssimont
AGE:28
SK:78
EN:72
DU:96
PH:54
PA:47
SC:60
DF:63
Lane Pederson
Lane Pederson
AGE:27
SK:77
EN:60
DU:50
PH:52
PA:52
SC:53
DF:57
Nick Bonino
Nick Bonino
AGE:36
SK:75
EN:60
DU:50
PH:50
PA:47
SC:52
DF:64
Liam Foudy
Liam Foudy
AGE:24
SK:76
EN:79
DU:69
PH:51
PA:49
SC:53
DF:50
Tyler Angle
Tyler Angle
AGE:24
SK:75
EN:60
DU:50
PH:41
PA:36
SC:46
DF:50
Josh Lopina
Josh Lopina
AGE:23
SK:75
EN:71
DU:61
PH:34
PA:33
SC:34
DF:50
Claude Giroux
Claude Giroux
AGE:36
SK:87
EN:85
DU:98
PH:70
PA:75
SC:65
DF:78
Keegan Kolesar
Keegan Kolesar
AGE:27
SK:78
EN:77
DU:99
PH:60
PA:58
SC:62
DF:70
Serron Noel
Serron Noel
AGE:24
SK:75
EN:60
DU:50
PH:38
PA:39
SC:36
DF:55
Will Bitten
Will Bitten
AGE:26
SK:75
EN:60
DU:50
PH:45
PA:39
SC:51
DF:50

Défense #1Défense #2Gardien
Darnell Nurse
Darnell Nurse
AGE:29
SK:79
EN:87
DU:95
PH:64
PA:70
SC:58
DF:81
Kristopher Letang
Kristopher Letang
AGE:37
SK:83
EN:89
DU:94
PH:64
PA:63
SC:65
DF:82
Radko Gudas
Radko Gudas
AGE:34
SK:77
EN:83
DU:98
PH:53
PA:55
SC:52
DF:81
Christopher Tanev
Christopher Tanev
AGE:35
SK:76
EN:82
DU:94
PH:56
PA:56
SC:55
DF:86
John Marino
John Marino
AGE:27
SK:81
EN:85
DU:67
PH:62
PA:70
SC:54
DF:78
Egor Zamula
Egor Zamula
AGE:24
SK:76
EN:77
DU:86
PH:56
PA:56
SC:56
DF:74
Calvin deHaan
Calvin deHaan
AGE:33
SK:76
EN:74
DU:75
PH:52
PA:54
SC:50
DF:68
Adam Engstrom (R)
Adam Engstrom
AGE:21
SK:84
EN:70
DU:65
PH:43
PA:47
SC:39
DF:70
Nikita Okhotyuk
Nikita Okhotyuk
AGE:24
SK:76
EN:55
DU:50
PH:52
PA:53
SC:52
DF:70
Spencer Stastney
Spencer Stastney
AGE:24
SK:77
EN:77
DU:59
PH:50
PA:51
SC:50
DF:70
Noel Hoefenmayer
Noel Hoefenmayer
AGE:25
SK:75
EN:55
DU:50
PH:47
PA:51
SC:44
DF:67
Jack Rathbone
Jack Rathbone
AGE:25
SK:75
EN:67
DU:62
PH:42
PA:42
SC:42
DF:69
Markus Niemelainen
Markus Niemelainen
AGE:26
SK:75
EN:55
DU:50
PH:31
PA:29
SC:34
DF:62
Ilya Sorokin
Ilya Sorokin
AGE:29
SK:92
AG:87
RB:86
SC:87
HS:90
RT:89
DF:89
Martin Jones
Martin Jones
AGE:34
SK:85
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Aaron Dell
Aaron Dell
AGE:35
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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
Jacob LeguerrierBlues2033161
Lukas FischerBlues203882
Patrick HolwayBlues2032168

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041
2042



Blues Leaders statistiques (saison régulière)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jared Spurgeon762196467663-1094174791465193410.13%13431855224.351261682941274112133322130.00%50.7102
2Alan Letang1308223419642-598201731177624409.14%8212302717.6048871352424101452301855.08%20.561031
3Mika Zibanejad708186282468-1055951133123019319.63%1401346819.0249127176487381148191051.38%20.691137
4Shane Doan527183243426-11963814101138182910.01%1801329925.245610115752594136622735.24%00.64750
5Nick 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
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