Blues

GP: 82 | W: 27 | L: 46 | OTL: 9 | P: 63
GF: 236 | GA: 301 | PP%: 19.29% | PK%: 73.95%
DG: Derek Robichaud | Morale : 13 | Moyenne d'Équipe : 65
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
1Cody EakinXXX95.007643928470709663886774712573757627690
2Colin WhiteXX96.006141898167738779807567625361617327680
3Michael FrolikXX98.007343878271658561366973653878807322670
4Curtis LazarX99.007674817274747765805964706164656722640
5Melker KarlssonXXX97.007142897865599259515664727565676931640
6Matt MartinXX99.009978787483597661365959722574766629640
7Jeremy BraccoX100.007264927364767869507460655747476732640
8Jordan SchroederXX99.007161947461798365806162675961626746640
9Dominik SimonXX100.007844917769658070357360542559606632630
10Ryan ReavesXX100.009980747383579763426061542571736433630
11David SchlemkoX96.01814492726980607125504785757071648680
12Jason DemersX99.007944898372807060255247752574776316680
13Adam Fox (R)X100.006553808467778070256458782544447030670
14Jordan OesterleX100.007142947767788072255548762558586423670
15Matt BenningX100.008155868274668965255448722559596332670
16Brendan SmithX100.008176697679677661255048702570726133660
17Nic Hague (R)X100.007878737682758059255741732544446036650
18MacKenzie WeegarX100.008588726880717963255649752552526232650
Rayé
1Anthony CirelliXXX100.007656877667699366907474917560617619710
2Corey PerryX100.006964767480686872256566576385916734650
3Ryan SproulX100.008278927378758055254649664746466033620
MOYENNE D'ÉQUIPE98.95775985777271816544615870426364672866
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
1Tom McCollum100.00536480854955525852523044445430560
2Scott Darling100.00496278954549505547483058595139560
Rayé
1Jonathan QuickHO598583805958506258599574796233640
MOYENNE D'ÉQUIPE100.0054708087515451585253525961563459
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/RW73325284-622075823401132269.41%41156821.48812203815410181003353.33%1507535001.0712000534
2Michael FrolikBluesLW/RW772937664315961062335714812.45%31146419.023811201452135753136.59%1235820100.9003000621
3Cody EakinBluesC/LW/RW63273259-141001021342236814512.11%31144622.97310132112721361264151.98%15625430000.8202000443
4Anthony CirelliBluesC/LW/RW50162743-8380721091565111010.26%31113222.65210121310603311061053.02%8772722000.7602000012
5Corey PerryBluesRW65211637-1848076651755310512.00%22110917.08639171030003421233.33%393013000.6712000043
6Melker KarlssonBluesC/LW/RW6882230-221408410713642815.88%32121417.87257111150004572135.68%7405020000.4900000033
7Jeremy BraccoBluesRW82161430-3606057119397413.45%3392211.250001160003240132.50%401712000.6500000100
8Curtis LazarBluesRW80121628-21180927515841777.59%34106513.320222390000112059.09%443725000.5300000022
9Denis MalginPeoria Riverman (STL)C63111728520454896327011.46%1766310.53000080110271133.20%2443313000.8400000202
10David SchlemkoBluesD6952328-112008112910442434.81%106174925.35437131560002149200.00%11182100.3200000021
11Matt MartinBluesLW/RW79121426-27562010711313643648.82%33125415.881124861012265037.04%543329000.4100013231
12Dominik SimonBluesC/LW79151126-23956646143478410.49%1292711.74000113000050025.15%3383214000.5600000011
13Matt BenningBluesD6851419-1621564855820248.62%73128418.893146103000186000.00%01141000.3000100000
14Jordan SchroederBluesC/RW4310919-655275793395910.75%1964214.94213733000070146.37%358249000.5900010001
15Jordan OesterleBluesD713151846050935727325.26%81142520.0721361160220116000.00%01058100.2500000000
16Jason DemersBluesD6331518-37260751167040414.29%110158825.2122471420000129100.00%01970000.2300000000
17Ryan ReavesBluesLW/RW7461218335598568533457.06%1685511.56000020000250032.00%251713000.4200010110
18Brendan SmithBluesD8111213-20622081794612202.17%56113514.02011228000044000.00%0434000.2300202000
19Adam FoxBluesD5221012026034886023333.33%5896018.4701157802225010100.00%11938000.2500000001
20MacKenzie WeegarBluesD82178-1333565672914153.45%5195111.61000010000044000.00%0433000.1700001001
21Nic HagueBluesD40022-4120121510340.00%183528.8100000000014000.00%008000.1100000000
22Ashton SautnerPeoria Riverman (STL)D7011300241000.00%2547.790000000003000.00%001000.3700000000
23Joel FarabeePeoria Riverman (STL)LW8000-120431000.00%2486.040000000006000.00%100000.0000000000
24Zach SanfordPeoria Riverman (STL)LW13000-300530130.00%0544.1600000000050070.00%1010000.0000000000
25Ryan SproulBluesD6200037510177450.00%234056.5400000000010000.00%017000.0000010000
26Alex DostiePeoria Riverman (STL)C8000-300000000.00%1232.8900001000000050.00%600000.0000000000
27Ryan SpoonerPeoria Riverman (STL)C/LW/RW12000-100412310.00%1544.5500000000000025.00%401000.0000000000
Stats d'équipe Total ou en Moyenne1532235378613-2355097514871755253884715099.26%9342435515.90386199174159461016371299261145.27%4617567628300.50211346212626
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 QuickBlues70243690.9003.5640510024024011431440.636116911532
2Tom McCollumBlues1831000.8863.618810053465267020.00001368001
3Scott DarlingBlues10001.0000.001200052000.000003000
Stats d'équipe Total ou en Moyenne89274690.8983.5649450029328711700460.545118282533


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 Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam FoxBluesD201998-02-17 06:16:57Yes181 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$6,469$No925,000$925,000$
Anthony CirelliBluesC/LW/RW201997-07-15No180 Lbs6 ft0NoNoNo2Pro & Farm728,333$728,333$5,093$No728,333$Lien
Brendan SmithBluesD291989-02-07No211 Lbs6 ft2NoNoNo2Pro & Farm4,350,000$4,350,000$30,420$No4,350,000$Lien
Cody Eakin (Sur la Masse Salariale)BluesC/LW/RW271991-05-24No190 Lbs6 ft0NoNoNo1Pro & Farm3,850,000$3,850,000$26,923$NoLien
Colin WhiteBluesC/RW211997-01-30No183 Lbs6 ft0NoNoNo5Pro & Farm14,750,000$14,750,000$103,147$No4,750,000$4,750,000$4,750,000$4,750,000$Lien
Corey PerryBluesRW331985-05-16No213 Lbs6 ft3YesNoNo2Pro & Farm12,000,000$12,000,000$83,916$No12,000,000$Lien
Curtis LazarBluesRW231995-02-02No209 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$4,895$NoLien
David SchlemkoBluesD311987-05-07No189 Lbs6 ft1YesNoNo1Pro & Farm2,100,000$2,100,000$14,685$NoLien
Dominik SimonBluesC/LW231994-08-08No190 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$5,245$NoLien
Jason DemersBluesD301988-06-09No195 Lbs6 ft1NoNoNo2Pro & Farm4,500,000$4,500,000$31,469$No4,500,000$Lien
Jeremy BraccoBluesRW211997-03-17No180 Lbs5 ft9NoNoNo2Pro & Farm925,000$925,000$6,469$No925,000$Lien
Jonathan QuickBluesG321986-01-20No218 Lbs6 ft1NoNoNo4Pro & Farm5,800,000$5,800,000$40,559$No5,800,000$5,800,000$5,800,000$Lien
Jordan OesterleBluesD261992-06-24No182 Lbs6 ft0NoNoNo2Pro & Farm1,400,000$1,400,000$9,790$No1,400,000$Lien
Jordan SchroederBluesC/RW271990-09-28No170 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$1,000,000$6,993$NoLien
MacKenzie WeegarBluesD241994-01-07No212 Lbs6 ft2NoNoNo1Pro & Farm1,600,000$1,600,000$11,189$NoLien
Matt BenningBluesD241994-05-25No204 Lbs6 ft1NoNoNo1Pro & Farm1,900,000$1,900,000$13,287$NoLien
Matt MartinBluesLW/RW291989-05-08No220 Lbs6 ft3NoNoYes1Pro & Farm2,500,000$2,500,000$17,483$NoLien
Melker KarlssonBluesC/LW/RW271990-07-18No182 Lbs5 ft10NoNoNo1Pro & Farm2,000,000$2,000,000$13,986$NoLien
Michael FrolikBluesLW/RW301988-02-16No194 Lbs6 ft1NoNoNo1Pro & Farm4,300,000$4,300,000$30,070$NoLien
Nic HagueBluesD191998-12-05Yes214 Lbs6 ft6NoNoNo3Pro & Farm822,500$822,500$5,752$No822,500$822,500$Lien
Ryan ReavesBluesLW/RW311987-01-20No225 Lbs6 ft1NoNoNo1Pro & Farm2,775,000$2,775,000$19,406$NoLien
Ryan SproulBluesD251993-01-12No205 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$5,245$NoLien
Scott DarlingBluesG291988-12-21No232 Lbs6 ft6NoNoNo2Pro & Farm4,150,000$4,150,000$29,021$No4,150,000$Lien
Tom McCollumBluesG281989-12-06No226 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$4,895$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2426.21200 Lbs6 ft11.753,136,493$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
75,275,833$40,350,833$12,297,500$10,550,000$4,750,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael FrolikCody EakinColin White40122
2Melker KarlssonJordan SchroederCurtis Lazar30122
3Matt MartinDominik SimonJeremy Bracco20122
4Ryan ReavesCody EakinColin White10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason DemersDavid Schlemko40122
2Adam FoxJordan Oesterle30122
3Matt BenningBrendan Smith20122
4Nic HagueMacKenzie Weegar10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael FrolikCody EakinColin White60122
2Melker KarlssonJordan SchroederCurtis Lazar40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason DemersDavid Schlemko60122
2Adam FoxJordan Oesterle40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cody EakinColin White60122
2Michael FrolikJordan Schroeder40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason DemersDavid Schlemko60122
2Adam FoxJordan Oesterle40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Cody Eakin60122Jason DemersDavid Schlemko60122
2Colin White40122Adam FoxJordan Oesterle40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cody EakinColin White60122
2Michael FrolikJordan Schroeder40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason DemersDavid Schlemko60122
2Adam FoxJordan Oesterle40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael FrolikCody EakinColin WhiteJason DemersDavid Schlemko
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael FrolikCody EakinColin WhiteJason DemersDavid Schlemko
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Martin, Jeremy Bracco, Dominik SimonMatt Martin, Jeremy BraccoDominik Simon
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Benning, Brendan Smith, Nic HagueMatt BenningBrendan Smith, Nic Hague
Tirs de Pénalité
Cody Eakin, Colin White, Michael Frolik, Jordan Schroeder, Melker Karlsson
Gardien
#1 : Tom McCollum, #2 : Scott Darling
Lignes d'Attaque Perso. en Prol.
Cody Eakin, Colin White, Michael Frolik, Jordan Schroeder, Melker Karlsson, Curtis Lazar, Curtis Lazar, Matt Martin, Jeremy Bracco, Dominik Simon, Ryan Reaves
Lignes de Défense Perso. en Prol.
Jason Demers, David Schlemko, Adam Fox, Jordan Oesterle, Matt Benning


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
1Avalanche2010010047-31000010012-11010000035-210.250471100202064132229078232338100.00%9277.78%0770173044.51%726164544.13%594120949.13%382148193516
2Blackhawks413000001420-62110000078-120200000712-520.250142438005450134304955016043377610110.00%18572.22%0770173044.51%726164544.13%594120949.13%743995387034
3Bruins210000101064110000005231000001054141.000101424002342631820245932816263266.67%8187.50%2770173044.51%726164544.13%594120949.13%351750193918
4Canadiens412001001113-22010010048-42110000075230.3751119300015501304531540136501496400.00%7185.71%0770173044.51%726164544.13%594120949.13%794593377133
5Canucks211000006601010000013-21100000053220.500681400033072829350711717528225.00%6183.33%0770173044.51%726164544.13%594120949.13%371945193718
6Capitals200011009901000010045-11000100054130.75091625003231612018212762812256233.33%6183.33%2770173044.51%726164544.13%594120949.13%361948193717
7Devils20200000312-91010000024-21010000018-700.00035810021065151931073251240300.00%6183.33%0770173044.51%726164544.13%594120949.13%361947173618
8Ducks2020000039-61010000026-41010000013-200.00035800021041151412070201034300.00%50100.00%0770173044.51%726164544.13%594120949.13%371743183820
9Flames31200000712-51010000025-32110000057-220.3337111800025084173532010631236410110.00%9455.56%0770173044.51%726164544.13%594120949.13%552870275327
10Flyers21100000981110000007431010000024-220.5009172610144079222928069236306350.00%3166.67%1770173044.51%726164544.13%594120949.13%422644163216
11Golden Knights40400000716-92020000028-62020000058-300.000711180004301092242450142483294600.00%11281.82%0770173044.51%726164544.13%594120949.13%763990367337
12Golden Seals2110000078-11010000027-51100000051420.500712190005206792632068262037200.00%5180.00%0770173044.51%726164544.13%594120949.13%362046183617
13Islanders513001001520-531200000810-220100100710-330.300152439004470176505372116150207810110.00%10550.00%0770173044.51%726164544.13%594120949.13%10054107459548
14Jets21100000880110000006421010000024-220.50081220002420601829130642116438450.00%8275.00%0770173044.51%726164544.13%594120949.13%402240183819
15Kings31200000811-31010000012-12110000079-220.333811190034107916333001134218448225.00%9366.67%0770173044.51%726164544.13%594120949.13%542672265328
16Lightning30201000912-32010100078-11010000024-220.3339152400242178281336110730125113323.08%6266.67%1770173044.51%726164544.13%594120949.13%562766275631
17Maple Leafs2020000047-31010000012-11010000035-200.0004711103010732721250712210417228.57%5260.00%0770173044.51%726164544.13%594120949.13%422541183517
18Maroons512001011519-430200100914-52100000165140.400152540007260143266054615962287619315.79%9277.78%0770173044.51%726164544.13%594120949.13%9646110499852
19Nordiques310020001174110000003122000200086261.0001119300022521183143386973615537228.57%5260.00%0770173044.51%726164544.13%594120949.13%653762265830
20Oilers22000000963110000006421100000032141.000913220033307220292306113163712216.67%8187.50%0770173044.51%726164544.13%594120949.13%432340203617
21Panthers21100000880110000005411010000034-120.50081220001250701819330823022365240.00%6350.00%0770173044.51%726164544.13%594120949.13%402144173518
22Penguins21100000660110000003121010000035-220.5006101600033067192523054218417114.29%4175.00%0770173044.51%726164544.13%594120949.13%412243183417
23Rangers422000001113-22110000045-12110000078-140.50011172810362012630504601374918723133.33%9366.67%0770173044.51%726164544.13%594120949.13%744095357035
24Red Wings422000001112-1211000006602110000056-140.50011162700245011133294901493727717114.29%11190.91%0770173044.51%726164544.13%594120949.13%753993367135
25Sabres2010000158-31000000145-11010000013-210.250581300050059143411474241035500.00%5260.00%0770173044.51%726164544.13%594120949.13%382149203617
26Senateurs21100000972110000007431010000023-120.50091423002340642123200742923415240.00%50100.00%0770173044.51%726164544.13%594120949.13%372047183416
27Sharks40400000614-82020000036-32020000038-500.000610161032109823403501444724823133.33%12375.00%0770173044.51%726164544.13%594120949.13%723796367034
28Stars40200200511-62010010025-32010010036-320.250571210113010836343801333912521100.00%6266.67%0770173044.51%726164544.13%594120949.13%754091367336
Total82224604712236301-6541122201501116146-3041102403211120155-35630.384236378614605486916253865889397325287793450914871973819.29%2155673.95%6770173044.51%726164544.13%594120949.13%157984018727621501751
30Wild211000006601010000023-11100000043120.50069150021306714242905520822500.00%4250.00%0770173044.51%726164544.13%594120949.13%361844193919
_Since Last GM Reset82224604712236301-6541122201501116146-3041102403211120155-35630.384236378614605486916253865889397325287793450914871973819.29%2155673.95%6770173044.51%726164544.13%594120949.13%157984018727621501751
_Vs Conference41112401410114153-3921612003005577-2220512011105976-17300.366114181295302546413124333142248681452465260773711419.72%1152479.13%4770173044.51%726164544.13%594120949.13%784416942380750370
_Vs Division25617002006188-271339001002743-161238001003445-11140.2806197158201325230750203245301186928113549333412.12%601575.00%0770173044.51%726164544.13%594120949.13%478255576229452225

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8263L223637861425382877934509148760
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8222464712236301
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4112221501116146
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4110243211120155
Derniers 10 Matchs
WLOTWOTL SOWSOL
080200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1973819.29%2155673.95%6
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
658893973255486916
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
770173044.51%726164544.13%594120949.13%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
157984018727621501751


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 - 2019-10-048Islanders1Blues3WSommaire du Match
3 - 2019-10-0634Maroons5Blues3LSommaire du Match
5 - 2019-10-0847Blues4Nordiques3WXSommaire du Match
7 - 2019-10-1062Blues3Golden Knights5LSommaire du Match
8 - 2019-10-1174Islanders4Blues2LSommaire du Match
10 - 2019-10-1393Blues2Kings5LSommaire du Match
11 - 2019-10-14101Blues1Flames6LSommaire du Match
14 - 2019-10-17117Blackhawks4Blues6WSommaire du Match
16 - 2019-10-19135Rangers1Blues2WSommaire du Match
18 - 2019-10-21155Blues3Blackhawks4LSommaire du Match
19 - 2019-10-22164Sharks2Blues1LSommaire du Match
20 - 2019-10-23176Blues4Red Wings2WSommaire du Match
21 - 2019-10-24189Blues6Canadiens2WSommaire du Match
23 - 2019-10-26205Golden Knights5Blues2LSommaire du Match
26 - 2019-10-29222Canadiens3Blues2LXSommaire du Match
28 - 2019-10-31244Stars2Blues1LXSommaire du Match
30 - 2019-11-02259Blues3Oilers2WSommaire du Match
31 - 2019-11-03273Oilers4Blues6WSommaire du Match
33 - 2019-11-05290Nordiques1Blues3WSommaire du Match
35 - 2019-11-07304Blues2Golden Knights3LSommaire du Match
36 - 2019-11-08317Blues4Nordiques3WXSommaire du Match
38 - 2019-11-10332Red Wings1Blues3WSommaire du Match
39 - 2019-11-11345Blues3Avalanche5LSommaire du Match
42 - 2019-11-14362Red Wings5Blues3LSommaire du Match
43 - 2019-11-15377Blues1Ducks3LSommaire du Match
44 - 2019-11-16388Blues1Red Wings4LSommaire du Match
46 - 2019-11-18405Panthers4Blues5WSommaire du Match
49 - 2019-11-21426Ducks6Blues2LSommaire du Match
51 - 2019-11-23441Blues2Flyers4LSommaire du Match
52 - 2019-11-24454Blues2Senateurs3LSommaire du Match
53 - 2019-11-25464Canucks3Blues1LSommaire du Match
55 - 2019-11-27481Blues5Capitals4WXSommaire du Match
57 - 2019-11-29492Stars3Blues1LSommaire du Match
59 - 2019-12-01514Golden Seals7Blues2LSommaire du Match
61 - 2019-12-03528Blues5Golden Seals1WSommaire du Match
62 - 2019-12-04539Blues5Canucks3WSommaire du Match
64 - 2019-12-06552Sabres5Blues4LXXSommaire du Match
66 - 2019-12-08572Blues3Maple Leafs5LSommaire du Match
67 - 2019-12-09583Maple Leafs2Blues1LSommaire du Match
70 - 2019-12-12606Flames5Blues2LSommaire du Match
71 - 2019-12-13621Blues4Flames1WSommaire du Match
73 - 2019-12-15635Islanders5Blues3LSommaire du Match
74 - 2019-12-16652Penguins1Blues3WSommaire du Match
76 - 2019-12-18666Blues1Sabres3LSommaire du Match
77 - 2019-12-19671Blues4Blackhawks8LSommaire du Match
80 - 2019-12-22693Capitals5Blues4LXSommaire du Match
81 - 2019-12-23702Blues3Penguins5LSommaire du Match
83 - 2019-12-25724Rangers4Blues2LSommaire du Match
85 - 2019-12-27737Blues5Kings4WSommaire du Match
87 - 2019-12-29753Avalanche2Blues1LXSommaire du Match
89 - 2019-12-31774Blues5Bruins4WXXSommaire du Match
90 - 2020-01-01785Canadiens5Blues2LSommaire du Match
91 - 2020-01-02797Blues3Maroons1WSommaire du Match
93 - 2020-01-04804Blues1Devils8LSommaire du Match
95 - 2020-01-06825Senateurs4Blues7WSommaire du Match
97 - 2020-01-08841Bruins2Blues5WSommaire du Match
100 - 2020-01-11861Blues2Rangers5LSommaire du Match
102 - 2020-01-13875Sharks4Blues2LSommaire du Match
104 - 2020-01-15889Blues1Canadiens3LSommaire du Match
106 - 2020-01-17905Flyers4Blues7WSommaire du Match
107 - 2020-01-18913Blues2Jets4LSommaire du Match
108 - 2020-01-19929Blues3Panthers4LSommaire du Match
110 - 2020-01-21939Blues4Wild3WSommaire du Match
111 - 2020-01-22955Blackhawks4Blues1LSommaire du Match
113 - 2020-01-24971Blues2Lightning4LSommaire du Match
114 - 2020-01-25984Lightning5Blues3LSommaire du Match
115 - 2020-01-26998Blues3Maroons4LXXSommaire du Match
117 - 2020-01-281015Jets4Blues6WSommaire du Match
120 - 2020-01-311032Lightning3Blues4WXSommaire du Match
122 - 2020-02-021053Maroons4Blues3LXSommaire du Match
123 - 2020-02-031062Blues5Rangers3WSommaire du Match
125 - 2020-02-051084Golden Knights3Blues0LSommaire du Match
127 - 2020-02-071097Blues1Stars3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
129 - 2020-02-091116Devils4Blues2LSommaire du Match
130 - 2020-02-101130Blues2Stars3LXSommaire du Match
131 - 2020-02-111143Maroons5Blues3LSommaire du Match
133 - 2020-02-131163Blues1Sharks4LSommaire du Match
135 - 2020-02-151175Kings2Blues1LSommaire du Match
136 - 2020-02-161183Blues2Sharks4LSommaire du Match
137 - 2020-02-171194Blues4Islanders5LXSommaire du Match
140 - 2020-02-201214Wild3Blues2LSommaire du Match
142 - 2020-02-221229Blues3Islanders5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100604030200
Assistance190,713191,39162,83197,87429,309
Attendance PCT77.53%93.36%76.62%59.68%71.49%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 13954 - 77.52% 1,521,472$62,380,371$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
63,758,446$ 75,275,833$ 51,060,833$ 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
75,275,833$ 63,674,530$ 0$ 23 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 533,397$ 533,397$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
533,397$ 78,010,833$ 41,233,109$ 40,699,712$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Anthony CirelliAGE:20PO:76OV:71
Cody EakinAGE:27PO:76OV:69
Michael FrolikAGE:30PO:73OV:67
Melker KarlssonAGE:27PO:69OV:64
Matt MartinAGE:29PO:66OV:64
Dominik SimonAGE:23PO:66OV:63
Ryan ReavesAGE:31PO:64OV:63
*Joel FarabeeAGE:18PO:58OV:62
Zach SanfordAGE:23PO:67OV:61
*Dmitry SokolovAGE:20PO:65OV:61
Ryan SpoonerAGE:26PO:62OV:60
Michael CarconeAGE:22PO:64OV:59
Valentin ZykovAGE:23PO:62OV:58
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:71
Cody EakinAGE:27PO:76OV:69
Colin WhiteAGE:21PO:73OV:68
Melker KarlssonAGE:27PO:69OV:64
Jordan SchroederAGE:27PO:67OV:64
Dominik SimonAGE:23PO:66OV:63
Denis MalginAGE:21PO:67OV:62
Gabriel DumontAGE:27PO:63OV:61
Matthew PecaAGE:25PO:64OV:60
Ryan SpoonerAGE:26PO:62OV:60
*Dillon DubeAGE:19PO:62OV:59
Kevin RoyAGE:25PO:57OV:55
*Mason ShawAGE:19PO:56OV:54
Alex DostieAGE:21PO:53OV:52
Anthony CirelliAGE:20PO:76OV:71
Cody EakinAGE:27PO:76OV:69
Colin WhiteAGE:21PO:73OV:68
Michael FrolikAGE:30PO:73OV:67
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
*Dmitry SokolovAGE:20PO:65OV:61
Gabriel DumontAGE:27PO:63OV:61
Ryan SpoonerAGE:26PO:62OV:60
Michael CarconeAGE:22PO:64OV:59
*Dillon DubeAGE:19PO:62OV:59
Valentin ZykovAGE:23PO:62OV:58
Kevin RoyAGE:25PO:57OV:55

Défense #1Défense #2Gardien
David SchlemkoAGE:31PO:64OV:68
Jason DemersAGE:30PO:63OV:68
*Adam FoxAGE:20PO:70OV:67
Jordan OesterleAGE:26PO:64OV:67
Matt BenningAGE:24PO:63OV:67
Brendan SmithAGE:29PO:61OV:66
MacKenzie WeegarAGE:24PO:62OV:65
*Nic HagueAGE:19PO:60OV:65
Ryan SproulAGE:25PO:60OV:62
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
Nolan ValleauAGE:25PO:53OV:57
Lucas JohansenAGE:20PO:53OV:56
Josh WesleyAGE:22PO:51OV:55
Michael PaliottaAGE:25PO:51OV:54
Jonathan QuickAGE:32PO:62OV:64
Tom McCollumAGE:28PO:54OV:56
Scott DarlingAGE:29PO:51OV:56
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
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
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
2021STL STL STL STL STL STL OTT 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



[2019-11-30 12:18:32] - Adam Fox was added to Blues.
[2019-11-30 12:08:21] - Joel Farabee was added to Blues.
[2019-10-11 17:20:47] - Scott Darling was added to Blues.
[2019-10-11 17:20:47] - Blues claimed Scott Darling from waivers by Sabres for 0 $.
[2019-10-11 17:20:30] - Blues show interest in Scott Darling from waiver.
[2019-10-09 16:17:02] - Bobby Butler was released.
[2019-10-09 16:17:02] - Blues paid 0 $ to release Bobby Butler.
[2019-10-09 16:14:21] - TRADE : From Senateurs to Blues : Ryan Spooner (61), Y:2021-RND:7-OTT.
[2019-10-09 16:14:21] - TRADE : From Blues to Senateurs : Y:2020-RND:7-STL.
[2019-10-07 17:48:25] - Bobby Butler signed with Blues for 12 000 000 $ for 1 year(s) / Option : No Trade.
[2019-10-07 17:48:25] - Bobby Butler was added to Blues.
[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).



[2020-04-28 19:30:00] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-28 19:29:57] Auto Lines Function has been run for Blues.
[2020-04-28 19:28:40] Auto Lines Function has been run for Blues.
[2020-04-28 19:28:40] Auto Roster Partial Function has been run for Blues.
[2020-04-24 15:19:28] David Schlemko from Blues is back from Exhaustion.
[2020-04-24 15:18:41] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-24 15:18:41] David Schlemko from Blues is injured from Exhaustion.
[2020-04-24 15:18:38] Auto Lines Function has been run for Blues.
[2020-04-24 15:04:45] Auto Lines Function has been run for Blues.
[2020-04-24 15:04:45] Auto Roster Partial Function has been run for Blues.
[2020-04-24 15:04:45] Scott Darling of Blues was sent to pro.
[2020-04-23 16:06:35] David Schlemko from Blues is back from Exhaustion.
[2020-04-22 17:07:59] Melker Karlsson from Blues is back from Exhaustion.
[2020-04-21 16:12:19] Jonathan Quick from Blues suspended for 99 game(s)
[2020-04-21 15:53:12] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-21 15:53:12] David Schlemko from Blues is injured from Exhaustion.
[2020-04-21 15:53:12] Melker Karlsson from Blues is injured from Exhaustion.
[2020-04-21 15:53:09] Auto Lines Function has been run for Blues.
[2020-04-21 15:51:47] Auto Lines Function has been run for Blues.
[2020-04-21 15:51:47] Auto Roster Partial Function has been run for Blues.
[2020-04-20 16:06:35] David Schlemko from Blues is back from Head Injury.
[2020-04-20 16:06:35] Melker Karlsson from Blues is back from Exhaustion.
[2020-04-20 16:05:53] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-20 16:05:52] Melker Karlsson from Blues is injured from Exhaustion.
[2020-04-20 16:05:49] Auto Lines Function has been run for Blues.
[2020-04-20 16:03:40] Auto Lines Function has been run for Blues.
[2020-04-20 16:03:40] Auto Roster Partial Function has been run for Blues.
[2020-04-17 15:32:43] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-17 15:32:43] Game 1175 - David Schlemko from Blues is injured (Head) and is out for 1 week.
[2020-04-15 17:04:45] Both Blues and Peoria Riverman lines for next game are empty. Current rosters/lines are not erased.
[2020-04-15 17:04:44] Andy Welinski from Peoria Riverman completes suspension
[2020-04-15 16:54:47] Auto Lines Function has been run for Blues.
[2020-04-14 17:32:11] Blues are expected to be under the minimum salary cap by 3 889 167 $!
[2020-04-13 16:27:53] Blues are expected to be under the minimum salary cap by 3 889 167 $!
[2020-04-13 16:27:28] Michael Frolik from Blues is back from Exhaustion.
[2020-04-13 16:26:44] Blues are expected to be under the minimum salary cap by 8 189 167 $!
[2020-04-13 16:26:38] Cody Eakin from Blues is back from Exhaustion.
[2020-04-13 16:26:38] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-13 16:26:37] Michael Frolik from Blues is injured from Exhaustion.
[2020-04-13 16:26:37] Colin White from Blues is injured from Exhaustion.
[2020-04-13 16:25:30] Auto Lines Function has been run for Blues.
[2020-04-13 16:25:30] Auto Roster Partial Function has been run for Blues.
[2020-04-11 10:13:26] Colin White from Blues is back from Exhaustion.
[2020-04-11 10:12:32] Blues are expected to be under the minimum salary cap by 7 739 167 $!
[2020-04-11 10:12:19] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-11 10:12:18] Colin White from Blues is injured from Exhaustion.
[2020-04-11 10:12:18] Cody Eakin from Blues is injured from Exhaustion.
[2020-04-09 17:13:15] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-08 17:06:17] Peoria Riverman lines for next game are empty. Current rosters/lines are not erased.
[2020-04-07 16:29:36] Blues lines for next game are empty. Current rosters/lines are not erased.



Jonathan Quick est suspendu indéfiniement.



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
201982224604712236301-6541122201501116146-3041102403211120155-3563236378614605486916253865889397325287793450914871973819.29%2155673.95%6770173044.51%726164544.13%594120949.13%157984018727621501751
Total Saison Régulière82224604712236301-6541122201501116146-3041102403211120155-3563236378614605486916253865889397325287793450914871973819.29%2155673.95%6770173044.51%726164544.13%594120949.13%157984018727621501751