Blues

GP: 1 | W: 1 | L: 0
GF: 3 | GA: 2 | PP%: 12.50% | PK%: 100.00%
DG: David Montembault | Morale : 99 | Moyenne d'Équipe : 74
Prochain matchs #14 vs Stars
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Alex Ovechkin (C)X100.00934885908685999530839755548894087850
2Jack Eichel (A)X100.00734489937685949184958662606565085840
3Ryan O'Reilly (A)X100.00634294807885998498898577667677087830
4Joe PavelskiXX100.00734390757080968293779467688389083800
5Alex SteenXXX100.00714392777673887137716882778588087740
6Nikolaj EhlersXX100.00635191916472896944718554256364087730
7Tyler ToffoliX100.00655290847276997941717071356871085730
8Jason DickinsonXXX100.00815589727765856170695982255858085700
9Kevin FialaXX100.00654287796870997535757052256061087700
10Carter RowneyXX100.00944793787563706168666076256162087690
11Blake ComeauXX100.00924684787473956140625987758081084690
12Jordan NolanXX100.00814572738051876425625569256769087640
13Alexander EdlerX100.00884673807991808725716096518185074830
14Oscar KlefbomX100.00694391868090818225694984256464083770
15Zach WerenskiX100.00714392907687977825705473256061087750
16Ben HuttonX100.00715382817786827325574984256666083730
17Nikita ZadorovX100.00987971828872916025505074256364085680
18Justin FalkX100.00999970708761595725404779256465080650
Rayé
1Adam LarssonX89.47964784798084906225564884257071079730
MOYENNE D'ÉQUIPE99.4279518581777688734469667440707108474
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 SP
1Devan Dubnyk100.0081939090758669818381767172087830
2Linus Ullmark100.0070737088726856727570955151087710
Rayé
MOYENNE D'ÉQUIPE100.007683808974776377797686616208777
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Bérubé70707070707070CAN5492,000,000$


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
1Ryan O'ReillyBluesC12021001552540.00%02121.1500016000021160.00%2000001.8900000100
2Zach WerenskiBluesD1022100001220.00%32121.230111600000000.00%000001.8800000010
3Nikolaj EhlersBluesLW/RW1011200101120.00%01313.280000000000000.00%100001.5100000000
4Alex OvechkinBluesLW1011-140313220.00%01717.5501125000000050.00%200001.1400000000
5Alex SteenBluesC/LW/RW1101-1000172414.29%01818.9810156000000050.00%200001.0500000000
6Oscar KlefbomBluesD1011-120022020.00%12222.750001500002000.00%000000.8800000000
7Ben HuttonBluesD1011100220000.00%32020.430000000004000.00%000000.9800000001
8Nikita ZadorovBluesD1000020212020.00%01111.220000000001000.00%000000.0000000000
9Alexander EdlerBluesD1000-100203230.00%22424.030003500004000.00%000000.0000000000
10Carter RowneyBluesC/RW1000000010110.00%088.8000000000020033.33%300000.0000000000
11Jason DickinsonBluesC/LW/RW1000000011010.00%01414.3800000000060033.33%600000.0000000000
12Joe PavelskiBluesC/RW1000000011110.00%01414.0500005000000050.00%600000.0000000000
13Justin FalkBluesD1000000202010.00%21414.150000000003000.00%000000.0000000000
14Blake ComeauBluesLW/RW1000020500010.00%01010.420000000004000.00%100000.0000000000
15Jack EichelBluesC1000-100114120.00%01818.5200015000000054.55%2200000.0000000000
16Tyler ToffoliBluesRW1000100212000.00%01919.62000160000100100.00%100000.0000000000
17Kevin FialaBluesLW/RW1000-100000010.00%01313.920000600000000.00%100000.0000000000
18Jordan NolanBluesLW/RW1000000011010.00%055.520000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne18369010021183514318.57%1129016.1112315580000351150.77%6500000.6200000111
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
1Devan DubnykBlues11000.8822.0060002170000.000010000
Stats d'équipe Total ou en Moyenne11000.8822.0060002170000.000010000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam LarssonBluesD271992-11-12No210 Lbs6 ft4NoNoYes3Sans RestrictionPro & Farm4,166,666$4,166,666$3,273,809$NoLien
Alex OvechkinBluesLW341985-09-17No235 Lbs6 ft3NoNoYes3Sans RestrictionPro & Farm9,538,500$9,538,500$7,494,536$NoLien
Alex SteenBluesC/LW/RW361984-03-01No211 Lbs6 ft0NoNoYes3Sans RestrictionPro & Farm5,750,000$5,750,000$4,517,857$NoLien
Alexander EdlerBluesD331986-04-21No214 Lbs6 ft3NoNoYes1Sans RestrictionPro & Farm5,000,000$5,000,000$3,928,571$NoLien
Ben HuttonBluesD261993-04-20No207 Lbs6 ft2NoNoYes1Avec RestrictionPro & Farm2,800,000$2,800,000$2,200,000$NoLien
Blake ComeauBluesLW/RW341986-02-17No202 Lbs6 ft1NoNoYes3Sans RestrictionPro & Farm2,400,000$2,400,000$1,885,714$NoLien
Carter RowneyBluesC/RW301989-05-10No200 Lbs6 ft2NoNoYes3Sans RestrictionPro & Farm1,133,333$1,133,333$890,476$NoLien
Devan DubnykBluesG331986-05-03No218 Lbs6 ft6NoNoYes3Sans RestrictionPro & Farm4,333,333$4,333,333$3,404,762$NoLien
Jack EichelBluesC231996-10-28No206 Lbs6 ft2NoNoYes6Avec RestrictionPro & Farm10,000,000$10,000,000$7,857,143$NoLien
Jason DickinsonBluesC/LW/RW241995-07-04No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm875,000$875,000$687,500$NoLien
Joe PavelskiBluesC/RW351984-07-11No195 Lbs5 ft11NoNoYes1Sans RestrictionPro & Farm6,000,000$6,000,000$4,714,286$NoLien
Jordan NolanBluesLW/RW301989-06-22No219 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm650,000$650,000$510,714$NoLien
Justin FalkBluesD311988-10-11No223 Lbs6 ft5NoNoYes1Sans RestrictionPro & Farm650,000$650,000$510,714$NoLien
Kevin FialaBluesLW/RW231996-07-22No193 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm863,333$863,333$678,333$NoLien
Linus UllmarkBluesG261993-07-30No221 Lbs6 ft4NoNoYes1Avec RestrictionPro & Farm750,000$750,000$589,286$NoLien
Nikita ZadorovBluesD241995-04-15No230 Lbs6 ft5NoNoYes1Avec RestrictionPro & Farm2,150,000$2,150,000$1,689,286$NoLien
Nikolaj EhlersBluesLW/RW241996-02-13No172 Lbs6 ft0NoNoYes6Avec RestrictionPro & Farm6,000,000$6,000,000$4,714,286$NoLien
Oscar KlefbomBluesD261993-07-19No215 Lbs6 ft3NoNoYes5Avec RestrictionPro & Farm4,167,000$4,167,000$3,274,071$NoLien
Ryan O'ReillyBluesC291991-02-07No216 Lbs6 ft1NoNoYes5Sans RestrictionPro & Farm7,500,000$7,500,000$5,892,857$NoLien
Tyler ToffoliBluesRW271992-04-23No197 Lbs6 ft0NoNoYes2Sans RestrictionPro & Farm4,600,000$4,600,000$3,614,286$NoLien
Zach WerenskiBluesD221997-07-19No209 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm925,000$925,000$726,786$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.43209 Lbs6 ft22.483,821,532$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
80,252,165$59,588,832$54,988,832$27,667,000$27,667,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinJack EichelAlex Steen32122
2Nikolaj EhlersRyan O'ReillyTyler Toffoli30122
3Jason DickinsonJoe PavelskiKevin Fiala28122
4Jordan NolanCarter RowneyBlake Comeau10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerZach Werenski35122
2Oscar KlefbomBen Hutton35131
3Justin FalkNikita Zadorov25131
4Zach WerenskiBen Hutton5122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinJack EichelJoe Pavelski60014
2Kevin FialaRyan O'ReillyTyler Toffoli40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex SteenZach Werenski60014
2Alexander EdlerOscar Klefbom40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jason DickinsonBlake Comeau60041
2Ryan O'ReillyCarter Rowney40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerBen Hutton60050
2Oscar KlefbomJustin Falk40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Blake Comeau60050Alexander EdlerBen Hutton60050
2Jason Dickinson40050Oscar KlefbomJustin Falk40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jack EichelAlex Steen60023
2Ryan O'ReillyAlex Ovechkin40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerZach Werenski60032
2Oscar KlefbomBen Hutton40032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex OvechkinRyan O'ReillyJoe PavelskiAlexander EdlerZach Werenski
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Blake ComeauRyan O'ReillyJason DickinsonAlexander EdlerOscar Klefbom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blake Comeau, Carter Rowney, Jordan NolanNikolaj Ehlers, Jordan NolanTyler Toffoli
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikita Zadorov, Zach Werenski, Justin FalkBen HuttonNikita Zadorov, Zach Werenski
Tirs de Pénalité
Ryan O'Reilly, Alex Ovechkin, Alex Steen, Jack Eichel, Kevin Fiala
Gardien
#1 : Devan Dubnyk, #2 : Linus Ullmark
Lignes d'Attaque Perso. en Prol.
Ryan O'Reilly, Alex Ovechkin, Jack Eichel, Joe Pavelski, Alex Steen, Nikolaj Ehlers, Nikolaj Ehlers, Tyler Toffoli, Jason Dickinson, Blake Comeau, Carter Rowney
Lignes de Défense Perso. en Prol.
Alexander Edler, Zach Werenski, Oscar Klefbom, Ben Hutton, Nikita Zadorov


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
LigueDomicileVisiteur
# 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
1Stars11000000321110000003210000000000021.000369000210351011140171110218112.50%50100.00%0173745.95%122060.00%4850.00%2619216126
Total11000000321110000003210000000000021.000369000210351011140171110218112.50%50100.00%0173745.95%122060.00%4850.00%2619216126
_Since Last GM Reset11000000321110000003210000000000021.000369000210351011140171110218112.50%50100.00%0173745.95%122060.00%4850.00%2619216126
_Vs Conference11000000321110000003210000000000021.000369000210351011140171110218112.50%50100.00%0173745.95%122060.00%4850.00%2619216126
_Vs Division11000000321110000003210000000000021.000369000210351011140171110218112.50%50100.00%0173745.95%122060.00%4850.00%2619216126

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
12W1369351711102100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
110000032
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000032
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
8112.50%50100.00%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
10111400210
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
173745.95%122060.00%4850.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2619216126


Derniers Match 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
2 - 2019-09-206Stars2Blues3WSommaire du Match
4 - 2019-09-2214Stars-Blues-
6 - 2019-09-2422Blues-Stars-
8 - 2019-09-2630Blues-Stars-
10 - 2019-09-2838Stars-Blues-
12 - 2019-09-3046Blues-Stars-
14 - 2019-10-0254Stars-Blues-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance6,0005,0002,0004,0001,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 18000 - 100.00% 1,892,300$1,892,300$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 80,252,165$ 80,252,165$ 0$ -3,000,000$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 11 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 2,633,731$ 2,633,731$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Alex OvechkinAGE:34PO:0OV:85
Alex SteenAGE:36PO:0OV:74
Nikolaj EhlersAGE:24PO:0OV:73
Jason DickinsonAGE:24PO:0OV:70
Kevin FialaAGE:23PO:0OV:70
Blake ComeauAGE:34PO:0OV:69
C.J. SmithAGE:25PO:0OV:65
Jordan NolanAGE:30PO:0OV:64
Nick LappinAGE:27PO:0OV:61
Darren ArchibaldAGE:30PO:0OV:61
Wade MeganAGE:29PO:0OV:61
Cory ConacherAGE:30PO:0OV:58
Nikita SoshnikovAGE:26PO:0OV:57
Jack EichelAGE:23PO:0OV:84
Ryan O'ReillyAGE:29PO:0OV:83
Joe PavelskiAGE:35PO:0OV:80
Alex SteenAGE:36PO:0OV:74
Jason DickinsonAGE:24PO:0OV:70
Carter RowneyAGE:30PO:0OV:69
Wade MeganAGE:29PO:0OV:61
Joe PavelskiAGE:35PO:0OV:80
Alex SteenAGE:36PO:0OV:74
Nikolaj EhlersAGE:24PO:0OV:73
Tyler ToffoliAGE:27PO:0OV:73
Jason DickinsonAGE:24PO:0OV:70
Kevin FialaAGE:23PO:0OV:70
Carter RowneyAGE:30PO:0OV:69
Blake ComeauAGE:34PO:0OV:69
Jordan NolanAGE:30PO:0OV:64
Nick LappinAGE:27PO:0OV:61
Justin BaileyAGE:24PO:0OV:61
Darren ArchibaldAGE:30PO:0OV:61
Cory ConacherAGE:30PO:0OV:58
Nikita SoshnikovAGE:26PO:0OV:57

Défense #1Défense #2Gardien
Alexander EdlerAGE:33PO:0OV:83
Oscar KlefbomAGE:26PO:0OV:77
Zach WerenskiAGE:22PO:0OV:75
Adam LarssonAGE:27PO:0OV:73
Ben HuttonAGE:26PO:0OV:73
Nikita ZadorovAGE:24PO:0OV:68
*Bogdan KiselevichAGE:30PO:0OV:66
*Lawrence PilutAGE:24PO:0OV:65
Justin FalkAGE:31PO:0OV:65
Sami NikuAGE:23PO:0OV:61
Devan DubnykAGE:33PO:0OV:83
Linus UllmarkAGE:26PO:0OV:71
Samuel MontembeaultAGE:23PO:0OV:66

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Alexander TrueBlues13161
Blake McLaughlinBlues1288
Chase PriskieBlues13174
Cliff PuBlues
Doyle SomerbyBlues
Dysin MayoBlues
Jake WalmanBlues
Johan SodergranBlues12186
Jonatan BerggrenBlues1231
Josef KorenarBlues
Justin BrazeauBlues13143
Keean WashkurakBlues13205
Kristofers BindulisBlues
Malte SetkovBlues
Mitch ReinkeBlues
Mitchell MattsonBlues2016125
Ville HussoBlues
Vladislav GavrikovBlues13112

Choix au Repêchage

Année R1R2R3R4R5R6R7
14STL STL PIT STL
15STL STL STL STL STL STL STL
16STL STL STL STL STL STL STL
17STL STL STL STL STL STL STL
18STL STL STL STL STL STL STL



[2020-01-04 10:49:04] - TRADE : From Blues to Red Wings : Connor Hobbs (P), Y:14-RND:2-STL, Y:14-RND:4-STL.
[2020-01-04 10:49:04] - TRADE : From Red Wings to Blues : Joe Pavelski (80), 3 000 000 $ (Salary Cap).
[2020-01-03 10:06:45] - TRADE : From Blues to Rangers : Y:14-RND:3-STL.
[2020-01-03 10:06:45] - TRADE : From Rangers to Blues : Ben Hutton (73), Y:14-RND:6-PIT.
[2019-09-30 20:42:34] - Wade Megan was added to Blues.
[2019-09-30 20:31:48] - Bogdan Kiselevich was added to Blues.
[2019-09-19 22:59:16] - Jack Eichel has been selected as assistant for Blues.
[2019-09-19 22:59:16] - Alex Steen is no longer as assistant for Blues.
[2019-09-19 22:59:16] - Ryan O'Reilly has been selected as assistant for Blues.
[2019-09-19 22:59:16] - Alex Ovechkin is no longer as assistant for Blues.
[2019-09-19 22:59:16] - Alex Ovechkin has been selected as captain for Blues.
[2019-09-19 22:59:16] - Unknown Player is no longer captain for Blues.
[2019-09-12 22:10:21] - Jordan Nolan was added to Blues.
[2019-07-10 19:21:15] - Josef Korenar has been added to Blues.
[2019-07-04 22:04:58] - Josh Healey has been deleted from Blues.
[2019-07-04 22:04:49] - Colin Campbell has been deleted from Blues.
[2019-07-04 22:04:43] - Emile Poirier has been deleted from Blues.
[2019-07-04 21:50:44] - Blues drafts Keean Washkurak as the #205 overall pick in the Entry Draft of year 13.
[2019-07-03 23:19:59] - Blues drafts Chase Priskie as the #174 overall pick in the Entry Draft of year 13.
[2019-07-03 23:16:22] - Blues drafts Alexander True as the #161 overall pick in the Entry Draft of year 13.
[2019-07-03 16:54:13] - Blues drafts Justin Brazeau as the #143 overall pick in the Entry Draft of year 13.
[2019-06-30 22:23:43] - Blues drafts Mark Kastelic as the #112 overall pick in the Entry Draft of year 13.



[2020-04-12 12:24:04] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[2020-04-09 09:32:03] Ben Hutton from Blues is back from Bruised Left Shoulder Injury.
[2020-04-08 13:09:26] Game 1258 - Adam Larsson from Blues is injured (Back) and is out for 3 weeks.
[2020-04-08 10:54:47] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[2020-04-08 10:54:47] Bogdan Kiselevich of Blues was sent down to farm.
[2020-04-07 08:25:52] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[2020-04-07 08:25:51] Bogdan Kiselevich of Blues was sent to pro.
[2020-04-06 07:48:34] Alexander Edler from Blues is back from Strained Left Elbow Injury.
[2020-04-06 07:48:33] Game 1233 - Ben Hutton from Blues is injured (Bruised Left Shoulder) and is out for 1 week.
[2020-04-05 11:03:52] Current fund for Blues is under 0 $.
[2020-04-03 09:21:36] Current fund for Blues is under 0 $.
[2020-04-02 09:37:41] Current fund for Blues is under 0 $.
[2020-04-02 09:36:25] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[2020-04-02 09:34:40] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[2020-04-01 09:28:54] Current fund for Blues is under 0 $.
[2020-04-01 09:28:48] Game 1200 - Alexander Edler from Blues is injured (Strained Left Elbow) and is out for 1 week.
[2020-03-31 10:23:37] Current fund for Blues is under 0 $.
[2020-03-30 12:19:05] Current fund for Blues is under 0 $.
[2020-03-29 13:41:23] Current fund for Blues is under 0 $.
[2020-03-29 13:33:25] Current fund for Blues is under 0 $.
[2020-03-28 11:02:11] Current fund for Blues is under 0 $.
[2020-03-27 09:12:01] Current fund for Blues is under 0 $.
[2020-03-26 10:45:15] Current fund for Blues is under 0 $.
[2020-03-25 10:07:18] Current fund for Blues is under 0 $.
[2020-03-25 10:05:47] Successfully loaded Blues lines done with STHS Client - 3.2.0.5



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
12823629046252462415411816023111171152411813023141291263722464446901496816310276691989791667249371080019963015417.94%3204685.63%11589298053.32%1556283454.90%705127155.47%201814341957586997495
1382492404311246198484128110110013210428412113032111149420112246433679138189716236880576178820226368286920223086019.48%3715585.18%21377275250.04%1387277749.95%662124353.26%1976136719306011038522
Total Saison Régulière164855308936492439538246270341124921930823926055252432202318449287713692717717013416513417241658170487475613921669401860911418.72%69110185.38%32966573251.74%2943561152.45%1367251454.38%399528013888118720351018
Séries
12514000001520-52110000066030300000914-5215284300545115640445418203765015416425.00%23482.61%07917046.47%13322658.85%428450.00%12590135376030
131100000032111000000321000000000002369000210351011140171110218112.50%50100.00%0173745.95%122060.00%4850.00%2619216126
Total Séries624000001822-43210000098130300000914-5418345200566119150556818220876017524520.83%28485.71%09620746.38%14524658.94%469250.00%151109156437336