Blues

GP: 14 | W: 3 | L: 10 | OTL: 1 | P: 7
GF: 37 | GA: 55 | PP%: 15.63% | PK%: 76.67%
DG: Derek Robichaud | Morale : 38 | Moyenne d'Équipe : 65
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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
1Cody EakinXXX100.007643928470709663886979722573757642700
2Colin WhiteXX100.006141898167738779807972645361617351690
3Michael FrolikXX100.007343878271658561367376673878807342680
4Corey PerryX100.006964767480686872256171576385916741650
5Curtis LazarX100.007674817274747765805964706164656747640
6Melker KarlssonXXX100.007142897865599259515568747565676946640
7Matt MartinXX100.009978787483597661366159712574766646640
8Jeremy BraccoX100.007264927364767869507460655747476752640
9Jordan SchroederXX100.007161947461798365806162675961626746640
10Denis MalginX100.007142908462647462446466622561616740630
11Ryan ReavesXX100.009980747383579763426260542571736445630
12David SchlemkoX100.008144927269806071255047857570716443680
13Jason DemersX100.007944898372807060255348752574776329680
14Jordan OesterleX100.007142947767788072255549772558586436670
15Matt BenningX100.008155868274668965255349712559596347670
16Brendan SmithX100.008176697679677661255248722570726151660
17MacKenzie WeegarX100.008588726880717963255348752552526250650
18Ryan SproulX100.008278927378758055254649664746466045630
19Nic Hague (R)X100.008382846882828954254351664844446051630
Rayé
1Anthony CirelliXXX99.007656877667699366906974887560617641700
2Dominik SimonXX100.007844917769658070357360552559606644630
MOYENNE D'ÉQUIPE99.95785986767270816545606069436365664566
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
1Jonathan Quick100.00598583805958506258599574796247640
2Tom McCollum100.00536480854955525852523044445449570
Rayé
MOYENNE D'ÉQUIPE100.0056758283545751605556635962584861
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens69544566755961CAN4921,000,000$


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
1Colin WhiteBluesC/RW149918-455182071273912.68%528820.643254260000151133.33%15181011.2500100200
2Cody EakinBluesC/LW/RW125813-37582742153211.90%626221.831453220000201051.65%364112000.9900001010
3Michael FrolikBluesLW/RW14358-104016174210417.14%824517.550001210000100025.00%20184000.6500000100
4Corey PerryBluesRW14426-895211033172412.12%521615.47000218000010020.00%1072000.5500001000
5Jordan SchroederBluesC/RW1432500014122692211.54%518413.1500001000040054.55%9933000.5400000010
6Ryan ReavesBluesLW/RW14145221512815876.67%21349.590000000000000.00%310000.7400100000
7Anthony CirelliBluesC/LW/RW13314-240211728121810.71%1027521.211015250000230040.54%7484000.2900000002
8Melker KarlssonBluesC/LW/RW14224-8001920234128.70%623116.50000118000171034.81%15864000.3500000100
9Jordan OesterleBluesD14134-160142116256.25%1927519.64000023000017000.00%0111000.2900000000
10Curtis LazarBluesRW11123-420106306123.33%013412.2700002000130050.00%895000.4400000010
11Denis MalginBluesC14303100481551520.00%21238.8300000000050020.83%4870000.4900000000
12David SchlemkoBluesD13033-5601928207100.00%1733425.73000425000024000.00%0114000.1800000000
13Matt MartinBluesLW/RW11123-96021923894.35%715113.7700005000010025.00%447000.4000000000
14Dmitry SokolovPeoria Riverman (STL)LW/RW3033100126110.00%23712.420000000000000.00%110001.6100000000
15Matt BenningBluesD14022-695122515370.00%1426619.00000122000016000.00%018000.1500001000
16Jeremy BraccoBluesRW11112-1004615476.67%1837.5900001000010033.33%643000.4800000000
17Zach SanfordPeoria Riverman (STL)LW3011200114140.00%1217.32000000000100100.00%100000.9100000000
18Nic HagueBluesD7011100322010.00%1537.620000000000000.00%012000.3700000000
19MacKenzie WeegarBluesD14011-5951286230.00%716511.800000000005000.00%007000.1200001000
20Dominik SimonBluesC/LW5011-1007112390.00%25611.2600000000000050.00%430000.3600000000
21Jason DemersBluesD11000-84061216960.00%1825823.46000119000025000.00%0211000.0000000000
22Ryan SproulBluesD14000155657410.00%51168.300000000003000.00%003000.0000100000
23William LagessonPeoria Riverman (STL)D3000000100010.00%2175.670000000001000.00%010000.0000000000
24Matthew PecaPeoria Riverman (STL)C3000-100000000.00%051.930000000000000.00%200000.0000000000
25Brendan SmithBluesD14000-8231510165230.00%919614.020000700004000.00%006000.0000201000
Stats d'équipe Total ou en Moyenne274375390-76120502602814721592897.84%154413415.0956112224300021963143.94%81710797010.4400505432
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
1Jonathan QuickBlues102710.8904.015990040364205000.0000104001
2Tom McCollumBlues41300.8913.53238001412968010.0000410000
Stats d'équipe Total ou en Moyenne1431010.8903.878380054493273010.00001414001


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
Anthony CirelliBluesC/LW/RW201997-07-15No180 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm728,333$0$0$NoLien
Brendan SmithBluesD291989-02-07No211 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm4,350,000$0$0$NoLien
Cody EakinBluesC/LW/RW271991-05-24No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm3,850,000$0$0$NoLien
Colin WhiteBluesC/RW211997-01-30No183 Lbs6 ft0NoNoNo5Contrat d'EntréePro & Farm4,750,000$0$0$NoLien
Corey Perry (Sur la Masse Salariale)BluesRW331985-05-16No213 Lbs6 ft3YesNoNo2Sans RestrictionPro & Farm12,000,000$0$0$YesLien
Curtis LazarBluesRW231995-02-02No209 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
David SchlemkoBluesD311987-05-07No189 Lbs6 ft1YesNoNo1Sans RestrictionPro & Farm2,100,000$0$0$NoLien
Denis MalginBluesC211997-01-18No177 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Dominik SimonBluesC/LW231994-08-08No190 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jason DemersBluesD301988-06-09No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm4,500,000$0$0$NoLien
Jeremy BraccoBluesRW211997-03-17No180 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Jonathan QuickBluesG321986-01-20No218 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm5,800,000$0$0$NoLien
Jordan OesterleBluesD261992-06-24No182 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,400,000$0$0$NoLien
Jordan SchroederBluesC/RW271990-09-28No170 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$NoLien
MacKenzie WeegarBluesD241994-01-07No212 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,600,000$0$0$NoLien
Matt BenningBluesD241994-05-25No204 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm1,900,000$0$0$NoLien
Matt MartinBluesLW/RW291989-05-08No220 Lbs6 ft3NoNoYes1Sans RestrictionPro & Farm2,500,000$0$0$NoLien
Melker KarlssonBluesC/LW/RW271990-07-18No182 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm2,000,000$0$0$NoLien
Michael FrolikBluesLW/RW301988-02-16No194 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm4,300,000$0$0$NoLien
Nic HagueBluesD191998-12-05Yes214 Lbs6 ft6NoNoNo3Contrat d'EntréePro & Farm822,500$0$0$NoLien
Ryan ReavesBluesLW/RW311987-01-20No225 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,775,000$0$0$NoLien
Ryan SproulBluesD251993-01-12No205 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Tom McCollumBluesG281989-12-06No226 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2326.13199 Lbs6 ft11.652,650,036$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
60,950,833$35,275,833$11,372,500$10,550,000$4,750,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Cody EakinColin White40122
2Michael FrolikMelker KarlssonCorey Perry30122
3Matt MartinJordan SchroederCurtis Lazar20122
4Ryan ReavesDenis MalginJeremy Bracco10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1David SchlemkoJason Demers40122
2Matt BenningJordan Oesterle30122
3Brendan SmithMacKenzie Weegar20122
4Nic HagueRyan Sproul10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Cody EakinColin White60122
2Michael FrolikMelker KarlssonCorey Perry40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1David SchlemkoJason Demers60122
2Matt BenningJordan Oesterle40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cody Eakin60122
2Colin WhiteMichael Frolik40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1David SchlemkoJason Demers60122
2Matt BenningJordan Oesterle40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Cody Eakin60122David SchlemkoJason Demers60122
240122Matt BenningJordan Oesterle40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cody Eakin60122
2Colin WhiteMichael Frolik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1David SchlemkoJason Demers60122
2Matt BenningJordan Oesterle40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Cody EakinColin WhiteDavid SchlemkoJason Demers
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Cody EakinColin WhiteDavid SchlemkoJason Demers
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Curtis Lazar, Matt Martin, Jordan SchroederCurtis Lazar, Matt MartinJordan Schroeder
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brendan Smith, MacKenzie Weegar, Nic HagueBrendan SmithMacKenzie Weegar, Nic Hague
Tirs de Pénalité
Cody Eakin, , Colin White, Michael Frolik, Corey Perry
Gardien
#1 : Tom McCollum, #2 : Jonathan Quick
Lignes d'Attaque Perso. en Prol.
Cody Eakin, , Colin White, Michael Frolik, Corey Perry, Curtis Lazar, Curtis Lazar, Melker Karlsson, Matt Martin, Jordan Schroeder, Jeremy Bracco
Lignes de Défense Perso. en Prol.
David Schlemko, Jason Demers, Matt Benning, Jordan Oesterle, Brendan Smith


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
1Canadiens2020000049-51010000026-41010000023-100.000481200022078272328066142338500.00%4175.00%014433742.73%12227045.19%9721644.91%452639173418
2Golden Knights2020000029-71010000015-41010000014-300.00023500011058113017087264632200.00%8275.00%014433742.73%12227045.19%9721644.91%331649203716
3Islanders2110000078-1110000006331010000015-420.50079160024108022283006819943700.00%2150.00%014433742.73%12227045.19%9721644.91%452841163316
4Lightning21100000954110000008261010000013-220.50091322002610712625200691815455360.00%50100.00%014433742.73%12227045.19%9721644.91%412243183516
5Rangers20100100610-41000010045-11010000025-310.25069150013206020192106727835200.00%4175.00%014433742.73%12227045.19%9721644.91%362149193414
6Red Wings2020000047-31010000023-11010000024-200.000459102200731537210623313418225.00%4250.00%014433742.73%12227045.19%9721644.91%392245183416
7Sharks2110000057-2110000003211010000025-320.5005611002120523381107518627300.00%30100.00%014433742.73%12227045.19%9721644.91%372145173617
Total14310001003755-187330010026260707000001129-1870.2503753901091990472154170148049415512026132515.63%30776.67%014433742.73%12227045.19%9721644.91%279159314127246117
_Since Last GM Reset14310001003755-187330010026260707000001129-1870.2503753901091990472154170148049415512026132515.63%30776.67%014433742.73%12227045.19%9721644.91%279159314127246117
_Vs Conference1229001002850-22623001001824-6606000001026-1650.208284068107138040112814512804251371052162727.41%25772.00%014433742.73%12227045.19%9721644.91%238137270108210100
_Vs Division1229001002850-22623001001824-6606000001026-1650.208284068107138040112814512804251371052162727.41%25772.00%014433742.73%12227045.19%9721644.91%238137270108210100

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
147W137539047249415512026110
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
1431001003755
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73301002626
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
70700001129
Derniers 10 Matchs
WLOTWOTL SOWSOL
280000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
32515.63%30776.67%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
154170148091990
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
14433742.73%12227045.19%9721644.91%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
279159314127246117


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
1 - 2019-09-223Islanders3Blues6WSommaire du Match
3 - 2019-09-2433Blues2Rangers5LSommaire du Match
4 - 2019-09-2546Rangers5Blues4LXSommaire du Match
5 - 2019-09-2659Blues1Islanders5LSommaire du Match
6 - 2019-09-2770Blues1Golden Knights4LSommaire du Match
7 - 2019-09-2884Blues2Red Wings4LSommaire du Match
8 - 2019-09-2990Golden Knights5Blues1LSommaire du Match
9 - 2019-09-30113Canadiens6Blues2LSommaire du Match
11 - 2019-10-02133Sharks2Blues3WSommaire du Match
13 - 2019-10-04155Red Wings3Blues2LSommaire du Match
15 - 2019-10-06173Blues1Lightning3LSommaire du Match
16 - 2019-10-07179Blues2Sharks5LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
17 - 2019-10-08189Blues2Canadiens3LSommaire du Match
18 - 2019-10-09200Lightning2Blues8WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100604030200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 60,950,833$ 40,735,833$ 0$ 1,675,000$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 0 0

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

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 41,408,326$ 41,408,326$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Anthony CirelliAGE:20PO:76OV:70
Cody EakinAGE:27PO:76OV:70
Michael FrolikAGE:30PO:73OV:68
Melker KarlssonAGE:27PO:69OV:64
Matt MartinAGE:29PO:66OV:64
Dominik SimonAGE:23PO:66OV:63
Ryan ReavesAGE:31PO:64OV:63
Zach SanfordAGE:23PO:67OV:61
*Dmitry SokolovAGE:20PO:65OV:60
Michael CarconeAGE:22PO:64OV:59
Valentin ZykovAGE:23PO:62OV:59
Max McCormickAGE:26PO:61OV:57
Kevin RoyAGE:25PO:57OV:55
*Jeffrey Truchon-VielAGE:21PO:56OV:55
Tyrell GoulbourneAGE:24PO:56OV:55
Anthony CirelliAGE:20PO:76OV:70
Cody EakinAGE:27PO:76OV:70
Colin WhiteAGE:21PO:73OV:69
Melker KarlssonAGE:27PO:69OV:64
Jordan SchroederAGE:27PO:67OV:64
Denis MalginAGE:21PO:67OV:63
Dominik SimonAGE:23PO:66OV:63
Gabriel DumontAGE:27PO:63OV:61
Matthew PecaAGE:25PO:64OV:60
*Dillon DubeAGE:19PO:62OV:59
Kevin RoyAGE:25PO:57OV:55
*Mason ShawAGE:19PO:56OV:54
Alex DostieAGE:21PO:53OV:53
Anthony CirelliAGE:20PO:76OV:70
Cody EakinAGE:27PO:76OV:70
Colin WhiteAGE:21PO:73OV:69
Michael FrolikAGE:30PO:73OV:68
Corey PerryAGE:33PO:67OV:65
Melker KarlssonAGE:27PO:69OV:64
Curtis LazarAGE:23PO:67OV:64
Jeremy BraccoAGE:21PO:67OV:64
Jordan SchroederAGE:27PO:67OV:64
Matt MartinAGE:29PO:66OV:64
Ryan ReavesAGE:31PO:64OV:63
Gabriel DumontAGE:27PO:63OV:61
*Dmitry SokolovAGE:20PO:65OV:60
Michael CarconeAGE:22PO:64OV:59
*Dillon DubeAGE:19PO:62OV:59
Valentin ZykovAGE:23PO:62OV:59
Kevin RoyAGE:25PO:57OV:55

Défense #1Défense #2Gardien
David SchlemkoAGE:31PO:64OV:68
Jason DemersAGE:30PO:63OV:68
Jordan OesterleAGE:26PO:64OV:67
Matt BenningAGE:24PO:63OV:67
Brendan SmithAGE:29PO:61OV:66
MacKenzie WeegarAGE:24PO:62OV:65
Ryan SproulAGE:25PO:60OV:63
*Nic HagueAGE:19PO:60OV:63
Ashton SautnerAGE:24PO:59OV:62
Andy WelinskiAGE:25PO:59OV:61
Cameron SchillingAGE:29PO:56OV:61
Robbie RussoAGE:25PO:58OV:60
*William LagessonAGE:22PO:57OV:59
Julian MelchioriAGE:26PO:54OV:58
Lucas JohansenAGE:20PO:53OV:57
Nolan ValleauAGE:25PO:53OV:57
Michael PaliottaAGE:25PO:51OV:55
Josh WesleyAGE:22PO:51OV:55
Jonathan QuickAGE:32PO:62OV:64
Tom McCollumAGE:28PO:54OV:57
Kasimir KaskisuoAGE:24PO:54OV:55
Charlie LindgrenAGE:24PO:53OV:55
Calvin PickardAGE:26PO:50OV:52

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
Adam FoxBlues201673
Aleksi MakelaBlues2013182
Alexis GravelBlues2018109
Axel AnderssonBlues201853
Blake McLaughlinBlues201872
Chad KrysBlues201659
Cole CasselsBlues
Dmitri SamorukovBlues2017102
Eric RoyBlues
Frederik OlofssonBlues2014137
Hunter DrewBlues2018204
JOHN DRAEGERBlues201292
Jack WalkerBlues2016143
Jaret Anderson-DolanBlues201742
Jesper SellgrenBlues2018203
Joel FarabeeBlues201817
Jordan SambrookBlues2016138
Joseph VelenoBlues201815
Kevin BieksaBlues
MIKKO VAINONENBlues2012122
Markus PhillipsBlues201790
Mathias LaferriereBlues2018180
Maximilian PajpachBlues2014184
Miro AaltonenBlues
Nicolas HagueBlues201729
Nikolas KobersteinBlues2014125
Ruslan IskhakovBlues201861
Ryan SegallaBlues2013122
Shane BowersBlues201732
Steve MasonBlues
Steven JohnsonBlues2014154
Trey Fix-WolanskyBlues2018151
Viktor SvedbergBlues

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
2020STL STL STL NJD STL STL NJD STL STL
2021STL STL STL STL STL STL STL STL
2022STL STL STL STL STL STL STL STL
2023STL STL STL STL STL STL STL STL
2024STL STL STL STL STL STL STL STL



[2019-09-27 13:14:27] - Nic Hague was added to Blues.
[2019-09-24 16:59:17] - TRADE : From Canadiens to Blues : Jason Demers (68).
[2019-09-24 16:59:17] - TRADE : From Blues to Canadiens : Nate Thompson (66).
[2019-09-23 15:11:15] - Peoria Riverman hired Blaine Forsythe for 60 000 $ for 1 year(s).
[2019-09-22 12:06:18] - Ben Holmstrom was released.
[2019-09-05 20:18:05] - Tom McCollum signed with Blues for 700 000 $ for 1 year(s).
[2019-09-05 20:18:05] - Tom McCollum was added to Blues.
[2019-09-05 20:17:49] - Michael Paliotta signed with Blues for 700 000 $ for 1 year(s).
[2019-09-05 20:17:49] - Michael Paliotta was added to Blues.
[2019-09-05 20:17:38] - Nolan Valleau signed with Blues for 700 000 $ for 1 year(s).
[2019-09-05 20:17:38] - Nolan Valleau was added to Blues.
[2019-09-05 20:17:25] - Ryan Sproul signed with Blues for 750 000 $ for 1 year(s).
[2019-09-05 20:17:25] - Ryan Sproul was added to Blues.
[2019-09-05 20:14:47] - Jordan Schroeder signed with Blues for 1 000 000 $ for 1 year(s).
[2019-09-05 20:14:47] - Jordan Schroeder was added to Blues.
[2019-09-05 19:35:05] - TRADE : From Blues to Devils : Zack Smith (69).
[2019-09-05 19:35:05] - TRADE : From Devils to Blues : Blake McLaughlin (P).
[2019-08-07 11:50:25] - Max McCormick signed with Blues for 700 000 $ for 1 year(s).
[2019-08-07 11:50:25] - Max McCormick was added to Blues.
[2019-08-07 11:50:00] - Kevin Roy signed with Blues for 850 000 $ for 1 year(s).
[2019-08-07 11:50:00] - Kevin Roy was added to Blues.
[2019-08-07 11:49:27] - Zach Sanford signed with Blues for 1 500 000 $ for 2 year(s).
[2019-08-07 11:49:27] - Zach Sanford was added to Blues.
[2019-08-07 11:48:48] - Michael Carcone signed with Blues for 700 000 $ for 2 year(s).
[2019-08-07 11:48:48] - Michael Carcone was added to Blues.
[2019-08-07 11:48:30] - MacKenzie Weegar signed with Blues for 1 600 000 $ for 1 year(s).
[2019-08-07 11:48:30] - MacKenzie Weegar was added to Blues.
[2019-07-05 16:57:21] - TRADE : From Blues to Devils : Y:2019-RND:5-STL, Y:2019-RND:6-STL.
[2019-07-05 16:57:21] - TRADE : From Devils to Blues : Andy Welinski (61).



[2019-10-04 13:28:54] Peoria Riverman lines for next game are empty. Current rosters/lines are not erased.
[2019-10-03 19:06:42] Anthony Cirelli from Blues is back from Exhaustion.
[2019-10-03 19:06:15] Blues lines for next game are empty. Current rosters/lines are not erased. But, Peoria Riverman lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2019-10-03 19:06:15] Colin White from Blues has scored a Hat Trick!
[2019-10-03 19:06:15] Anthony Cirelli from Blues is injured from Exhaustion.
[2019-10-03 19:06:14] Zach Sanford from Peoria Riverman has scored a Hat Trick!
[2019-10-03 19:06:14] Gabriel Dumont from Peoria Riverman has scored a Hat Trick!
[2019-10-03 19:05:16] Blues lines for next game are empty. Current rosters/lines are not erased. But, Peoria Riverman lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2019-10-03 19:04:59] Auto Lines Function has been run for Blues.
[2019-10-03 19:04:59] Auto Roster Partial Function has been run for Blues.
[2019-10-02 19:38:57] Jordan Oesterle from Blues is back from Torso Injury.
[2019-10-02 19:37:26] Game 179 - Jordan Oesterle from Blues is injured (Torso) and is out for 1 week.
[2019-10-02 19:26:19] Auto Lines Function has been run for Blues.
[2019-10-02 19:26:19] Auto Roster Partial Function has been run for Blues.
[2019-10-02 19:24:29] Auto Lines Function has been run for Blues.
[2019-10-02 19:24:29] Auto Roster Partial Function has been run for Blues.
[2019-10-01 18:21:43] Jason Demers from Blues is back from Sore Right Knee Injury.
[2019-10-01 18:21:43] Game 155 - Jason Demers from Blues is injured (Sore Right Knee) and is out for 1 days.
[2019-10-01 18:21:36] Auto Lines Function has been run for Blues.
[2019-10-01 18:21:36] Auto Roster Partial Function has been run for Blues.
[2019-09-30 18:15:54] Auto Lines Function has been run for Blues.
[2019-09-30 18:15:54] Auto Roster Partial Function has been run for Blues.
[2019-09-27 13:22:01] David Schlemko from Blues is back from Exhaustion.
[2019-09-27 13:22:01] Anthony Cirelli from Blues is back from Exhaustion.
[2019-09-27 13:20:41] David Schlemko from Blues is injured from Exhaustion.
[2019-09-27 13:20:32] Auto Lines Function has been run for Blues.
[2019-09-27 13:20:32] Auto Roster Partial Function has been run for Blues.
[2019-09-27 13:14:27] Nic Hague was added to Blues.
[2019-09-26 16:13:15] David Schlemko from Blues is back from Exhaustion.
[2019-09-26 16:12:25] David Schlemko from Blues is injured from Exhaustion.
[2019-09-26 16:12:25] Anthony Cirelli from Blues is injured from Exhaustion.
[2019-09-26 16:11:25] Auto Lines Function has been run for Blues.
[2019-09-26 16:11:24] Auto Roster Partial Function has been run for Blues.
[2019-09-26 16:11:23] Anthony Cirelli from Blues is back from Exhaustion.
[2019-09-26 16:09:53] Ashton Sautner from Peoria Riverman is back from Right Foot Injury.
[2019-09-26 16:09:53] David Schlemko from Blues is back from Exhaustion.
[2019-09-26 16:09:52] Anthony Cirelli from Blues is injured from Exhaustion.
[2019-09-26 16:09:52] Game 83 - Ashton Sautner from Peoria Riverman is injured (Right Foot) and is out for 4 days.
[2019-09-26 16:09:45] Auto Lines Function has been run for Blues.



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