Blues
GP: 39 | W: 14 | L: 21 | OTL: 4 | P: 32
GF: 109 | GA: 127 | PP%: 16.36% | PK%: 86.00%
DG: Guillaume Letourneau | Morale : 47 | Moyenne d'Équipe : 68
Prochain matchs #627 vs Canucks
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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
1Evander KaneX100.008688508580818781637688723877798143750
2Evgeny KuznetsovXXX99.006743829075778781798681617970737850740
3Anthony CirelliXXX98.007843868267789267838075857564667955730
4Reilly SmithXX100.007142908068779072327987724172758050720
5Christian DvorakXX100.006742948671746482957477627564647445700
6Jonathan DrouinXXX100.007343848973707178367577576366687544690
7Zach Sanford (R)X100.008445857871658064286979632558597445660
8Colin WhiteXX100.007152818167708476777160585364646643660
9Curtis LazarX100.008359917275617458846164832565666943650
10Michael FrolikXX100.006742858271627857346260753879826649650
11Matt MartinXX100.009970797483567860385559722575776639640
12Dominik SimonXX100.007343937769678562376860562563646557630
13Morgan RiellyX100.007143859078908277257448812570716845740
14Marc-Edouard VlasicX100.006542958375808862255149874884916547720
15Justin FaulkX100.007744868777819366255249742573756444700
16Sean Walker (R)X100.007744886670768368256149762557576438660
17Jarred TinordiX100.009093676590708555255148806353536124660
Rayé
1Artem AnisimovXX33.175741948275668170786082616179817361680
2Ryan ReavesXX100.009972817382569358416060542573766422620
3MacKenzie WeegarX87.928288796880807261255860832557576928680
4Mike ReillyX100.007343847873756873256647672560606340650
MOYENNE D'ÉQUIPE96.05775384797572826847666570426869704368
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 Quick97.00677779806866616969679576816239690
2Brian Elliott100.00666264807062636768667671735543660
Rayé
MOYENNE D'ÉQUIPE98.5067707280696462686967867477594168
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness82937883989145CAN653777,777$


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
1Evgeny KuznetsovBluesC/LW/RW34222244-51804656150439314.67%1872221.26571215960000613047.05%763289011.2222000332
2Evander KaneBluesLW35122941-136610834413658808.82%2076921.98391218910002572145.57%1584117011.0701200024
3Christian DvorakBluesC/LW3814163012003836108315512.96%1355014.500222340111121057.09%282325001.0900000230
4Anthony CirelliBluesC/LW/RW31121325100463664293918.75%1466521.4632510840221581151.32%2651213100.7502000213
5Reilly SmithBluesLW/RW39101525-700454110335769.71%2471318.301125861011261129.17%483114100.7011000121
6Jonathan DrouinBluesC/LW/RW38101424160594811637788.62%1966917.6222412801011311033.33%45294000.7200000112
7Morgan RiellyBluesD3531821-1016046526225344.84%5893626.7522411103011280100.00%01626000.4500000010
8Artem AnisimovBluesC/LW376713520304054223711.11%1762917.02112357000060041.38%291414010.4100000200
9Colin WhiteBluesC/RW34491308032307326345.48%643912.9200008000091043.88%98184000.5900000010
10Zach SanfordBluesLW39628-380443558214110.34%1149312.65000042022300034.48%29155000.3200000001
11Michael FrolikBluesLW/RW36156-128025215122451.96%73289.1100000000090011.11%974000.3700000000
12Justin FaulkBluesD39235-46038504712244.26%3979220.31101476011063000.00%0525000.1300000100
13Marc-Edouard VlasicBluesD3514551152764368162.78%5777022.03011269011265000.00%0724000.1300010000
14Curtis LazarBluesRW39033-9203235389280.00%83839.83000040002210060.00%10815000.1600000000
15Sean WalkerBluesD36033-1020203020770.00%2646913.0400002000014000.00%0114000.1300000000
16Matt MartinBluesLW/RW39123-980201923994.35%62075.3200002000040015.38%1345000.2900000000
17MacKenzie WeegarBluesD38022-14611526362015140.00%3856514.89000031000222000.00%0426000.0700102000
18Mike ReillyBluesD3111224092173114.29%112959.5200004000016000.00%0213000.1400000000
19Jarred TinordiBluesD12011-1601093410.00%51189.910000000001000.00%015000.1700000000
20Matthew PecaPeoria Riverman (STL)C3011000223130.00%2248.1800000000000022.22%910000.8100000000
21Ryan ReavesBluesLW/RW17011-400543020.00%0583.4500003000000057.14%710000.3400000000
22Dominik SimonBluesC/LW11000-50095147150.00%71069.7000000000000052.00%2510000.0000000000
Stats d'équipe Total ou en Moyenne696105171276-802323069271411894247328.83%4061071115.391827458284146101659511347.49%1790278242230.5236312121413
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 QuickBlues32121730.9103.08186820961066601330.6673326522
2Brian ElliottBlues92410.9123.334862027307180000.3333732100
Stats d'équipe Total ou en Moyenne41142140.9103.142354401231373781330.50063938622


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
Anthony CirelliBluesC/LW/RW231997-07-15No180 Lbs6 ft0NoNoNo1Pro & Farm728,333$728,333$388,444$NoLien
Artem Anisimov (Sur la Masse Salariale)BluesC/LW321988-05-24No198 Lbs6 ft4NoNoNo1Pro & Farm4,550,000$4,550,000$2,426,667$NoLien
Brian ElliottBluesG351985-04-09No209 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$2,000,000$1,066,667$NoLien
Christian DvorakBluesC/LW251996-02-02No195 Lbs6 ft0NoNoNo5Pro & Farm4,450,000$4,450,000$2,373,333$No4,450,000$4,450,000$4,450,000$4,450,000$Lien
Colin WhiteBluesC/RW241997-01-30No183 Lbs6 ft0NoNoNo4Pro & Farm4,750,000$4,750,000$2,533,333$No4,750,000$4,750,000$4,750,000$Lien
Curtis LazarBluesRW261995-02-02No209 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$373,333$NoLien
Dominik SimonBluesC/LW261994-08-08No190 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$400,000$NoLien
Evander KaneBluesLW291991-08-02No212 Lbs6 ft2NoNoNo3Pro & Farm7,000,000$7,000,000$3,733,333$No7,000,000$7,000,000$Lien
Evgeny KuznetsovBluesC/LW/RW281992-05-19No204 Lbs6 ft2NoNoNo2Pro & Farm7,800,000$7,800,000$4,160,000$No7,800,000$Lien
Jarred TinordiBluesD291992-02-20No230 Lbs6 ft6NoNoNo1Pro & Farm560,000$560,000$298,667$NoLien
Jonathan DrouinBluesC/LW/RW251995-03-28No203 Lbs6 ft0NoNoNo3Pro & Farm5,500,000$5,500,000$2,933,333$No5,500,000$5,500,000$Lien
Jonathan QuickBluesG351986-01-20No218 Lbs6 ft1NoNoNo3Pro & Farm5,800,000$5,800,000$3,093,333$No5,800,000$5,800,000$Lien
Justin FaulkBluesD281992-03-20No215 Lbs6 ft0NoNoNo4Pro & Farm6,500,000$6,500,000$3,466,667$No6,500,000$6,500,000$6,500,000$Lien
MacKenzie Weegar (Sur la Masse Salariale)BluesD271994-01-07No212 Lbs6 ft2NoNoNo1Pro & Farm1,600,000$1,600,000$853,333$NoLien
Marc-Edouard VlasicBluesD331987-03-30No205 Lbs6 ft1NoNoNo1Pro & Farm4,000,000$4,000,000$2,133,333$NoLien
Matt MartinBluesLW/RW311989-05-08No220 Lbs6 ft3NoNoYes1Pro & Farm1,000,000$1,000,000$533,333$NoLien
Michael FrolikBluesLW/RW331988-02-16No194 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$1,500,000$800,000$NoLien
Mike ReillyBluesD271993-07-12No195 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,500,000$800,000$NoLien
Morgan RiellyBluesD261994-03-09No217 Lbs6 ft1NoNoNo2Pro & Farm2,500,000$2,500,000$1,333,333$No5,000,000$Lien
Reilly SmithBluesLW/RW291991-04-01No185 Lbs6 ft0NoNoNo2Pro & Farm5,000,000$5,000,000$2,666,667$No5,000,000$Lien
Ryan ReavesBluesLW/RW341987-01-20No225 Lbs6 ft1NoNoNo2Pro & Farm1,750,000$1,750,000$933,333$No1,750,000$Lien
Sean WalkerBluesD261994-11-12Yes196 Lbs5 ft11NoNoNo4Pro & Farm2,650,000$2,650,000$1,413,333$No2,650,000$2,650,000$2,650,000$Lien
Zach SanfordBluesLW261994-11-09Yes185 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$1,500,000$800,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2328.57203 Lbs6 ft12.003,221,232$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
74,088,333$56,200,000$36,650,000$18,350,000$4,450,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Reilly SmithAnthony CirelliEvgeny Kuznetsov35104
2Evander KaneChristian DvorakJonathan Drouin30104
3Zach SanfordColin White20122
4Dominik SimonColin WhiteCurtis Lazar15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan RiellyMarc-Edouard Vlasic38122
2Justin Faulk36122
3Sean WalkerJarred Tinordi26140
4Morgan RiellyMarc-Edouard Vlasic0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evander KaneEvgeny KuznetsovAnthony Cirelli60104
2Reilly SmithJonathan Drouin40104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan RiellyMarc-Edouard Vlasic60104
2Justin Faulk40104
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Evander KaneCurtis Lazar60140
2Michael Frolik40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan RiellyMarc-Edouard Vlasic60140
2Justin Faulk40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Christian Dvorak60140Morgan RiellyMarc-Edouard Vlasic60140
2Colin White40140Justin Faulk40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Evander KaneEvgeny Kuznetsov60122
2Anthony CirelliReilly Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan RiellyMarc-Edouard Vlasic60122
2Justin Faulk40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evander KaneEvgeny KuznetsovAnthony CirelliMorgan RiellyMarc-Edouard Vlasic
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evander KaneEvgeny KuznetsovAnthony CirelliMorgan RiellyMarc-Edouard Vlasic
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Martin, Christian Dvorak, Colin WhiteMatt Martin, Christian DvorakColin White
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sean Walker, Jarred Tinordi, Justin FaulkSean WalkerJarred Tinordi, Justin Faulk
Tirs de Pénalité
Evander Kane, Evgeny Kuznetsov, Anthony Cirelli, Reilly Smith,
Gardien
#1 : Jonathan Quick, #2 : Brian Elliott
Lignes d'Attaque Perso. en Prol.
Evander Kane, Evgeny Kuznetsov, Anthony Cirelli, Reilly Smith, , Christian Dvorak, Christian Dvorak, Jonathan Drouin, Colin White, Zach Sanford, Michael Frolik
Lignes de Défense Perso. en Prol.
Morgan Rielly, Marc-Edouard Vlasic, Justin Faulk, , Sean Walker


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
1Avalanche1010000013-21010000013-20000000000000.0001230010003013710042126203133.33%30100.00%043185850.23%40882849.28%26756847.01%2011219189
2Blackhawks21000001981000000000002100000198130.75091625001351791524403712311477114.29%30100.00%043185850.23%40882849.28%26756847.01%462642183619
3Bruins11000000211110000002110000000000021.0002350001103251116029136154125.00%30100.00%043185850.23%40882849.28%26756847.01%2112228168
4Canadiens30300000510-530300000510-50000000000000.000561100122099333729094331661600.00%80100.00%143185850.23%40882849.28%26756847.01%633663275226
5Canucks43100000191272200000012482110000078-160.750193150009640142604141014653487010330.00%14378.57%143185850.23%40882849.28%26756847.01%875388356331
6Capitals11000000312000000000001100000031221.00035800003034971803091023000.00%50100.00%043185850.23%40882849.28%26756847.01%2112209187
7Ducks42101000151052100100011562110000045-160.750152540103561120384437114854107810220.00%50100.00%043185850.23%40882849.28%26756847.01%804794366835
8Flames1010000001-11010000001-10000000000000.00000000000027871203115420400.00%2150.00%043185850.23%40882849.28%26756847.01%21112091810
9Flyers2020000046-21010000023-11010000023-100.000459000310558291806317844200.00%4175.00%043185850.23%40882849.28%26756847.01%402141173818
10Golden Knights1000010045-1000000000001000010045-110.5004711000220318121103282153133.33%10100.00%043185850.23%40882849.28%26756847.01%2112208189
11Golden Seals10000010211000000000001000001021121.0002240001022761347379421700.00%2150.00%043185850.23%40882849.28%26756847.01%20923112111
12Islanders1010000023-1000000000001010000023-100.00024600200030169503012101511100.00%50100.00%043185850.23%40882849.28%26756847.01%2113209177
13Kings403001001122-1120100100813-52020000039-610.125112031104430125374344117152146413215.38%7185.71%043185850.23%40882849.28%26756847.01%784392347136
14Kraken1010000013-2000000000001010000013-200.00011200001029158604010421100.00%20100.00%043185850.23%40882849.28%26756847.01%2113228168
15Maple Leafs11000000312110000003120000000000021.000369001110327151004217814000.00%40100.00%043185850.23%40882849.28%26756847.01%2112219178
16Maroons11000000422000000000001100000042221.0004711000040308319039428155120.00%4175.00%143185850.23%40882849.28%26756847.01%1910219189
17Nordiques11000000422000000000001100000042221.0004711002200338169035184227114.29%20100.00%043185850.23%40882849.28%26756847.01%2212199189
18Panthers2020000037-41010000013-21010000024-200.00035810120063291420071221253400.00%6183.33%043185850.23%40882849.28%26756847.01%412242203617
19Penguins1010000034-11010000034-10000000000000.00035800111037131212028146244125.00%3166.67%043185850.23%40882849.28%26756847.01%2415198168
20Rangers1010000017-6000000000001010000017-600.0001230000103112811048131119200.00%3233.33%043185850.23%40882849.28%26756847.01%1911238177
21Sabres1010000045-1000000000001010000045-100.000461000022030951602952175120.00%10100.00%043185850.23%40882849.28%26756847.01%2012199199
22Senateurs1000010023-11000010023-10000000000010.50023500011040101811126146164125.00%3166.67%043185850.23%40882849.28%26756847.01%2414209189
23Sharks1010000024-21010000024-20000000000000.000235000110257810044121215000.00%6183.33%143185850.23%40882849.28%26756847.01%179259177
24Wild2110000056-12110000056-10000000000020.500581300014064172423050278358112.50%40100.00%043185850.23%40882849.28%26756847.01%432543183316
Total39122101311109127-1820611012005761-419610001115266-14320.41010917928830263843412453914154321313764662507441101816.36%1001486.00%443185850.23%40882849.28%26756847.01%820470851358687344
_Since Last GM Reset39122101311109127-1820611012005761-419610001115266-14320.41010917928830263843412453914154321313764662507441101816.36%1001486.00%443185850.23%40882849.28%26756847.01%820470851358687344
_Vs Conference291016012008395-12165801200494901358000003446-12240.4148313621930212932192529331131831023353189551801215.00%721184.72%343185850.23%40882849.28%26756847.01%605348634265510254
_Vs Division17411011004661-151136011003338-5615000001323-10110.324467612230101718153317018217926052107032246613.04%35294.29%143185850.23%40882849.28%26756847.01%349199377155299150

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3932OTL11091792881245137646625074430
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3912211311109127
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2061112005761
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1961001115266
Derniers 10 Matchs
WLOTWOTL SOWSOL
350110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1101816.36%1001486.00%4
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
391415432132638434
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
43185850.23%40882849.28%26756847.01%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
820470851358687344


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 - 2020-11-1011Sharks4Blues2LSommaire du Match
4 - 2020-11-1334Blues2Ducks4LSommaire du Match
5 - 2020-11-1443Canucks2Blues3WSommaire du Match
6 - 2020-11-1560Blues4Sabres5LSommaire du Match
8 - 2020-11-1776Avalanche3Blues1LSommaire du Match
10 - 2020-11-1991Blues1Kings3LSommaire du Match
13 - 2020-11-22108Canadiens3Blues2LSommaire du Match
16 - 2020-11-25127Canadiens3Blues2LSommaire du Match
18 - 2020-11-27150Blues4Nordiques2WSommaire du Match
19 - 2020-11-28157Blues4Maroons2WSommaire du Match
20 - 2020-11-29169Canucks2Blues9WSommaire du Match
22 - 2020-12-01190Kings7Blues3LSommaire du Match
24 - 2020-12-03205Blues3Blackhawks4LXXSommaire du Match
25 - 2020-12-04220Flyers3Blues2LSommaire du Match
28 - 2020-12-07239Blues2Panthers4LSommaire du Match
29 - 2020-12-08252Wild5Blues3LSommaire du Match
31 - 2020-12-10267Blues6Blackhawks4WSommaire du Match
32 - 2020-12-11282Kings6Blues5LXSommaire du Match
34 - 2020-12-13298Blues5Canucks3WSommaire du Match
35 - 2020-12-14308Blues2Islanders3LSommaire du Match
37 - 2020-12-16321Blues2Flyers3LSommaire du Match
38 - 2020-12-17335Ducks3Blues8WSommaire du Match
40 - 2020-12-19359Senateurs3Blues2LXSommaire du Match
43 - 2020-12-22376Blues3Capitals1WSommaire du Match
45 - 2020-12-24388Wild1Blues2WSommaire du Match
48 - 2020-12-27410Ducks2Blues3WXSommaire du Match
49 - 2020-12-28426Blues1Rangers7LSommaire du Match
51 - 2020-12-30442Penguins4Blues3LSommaire du Match
54 - 2021-01-02461Blues2Canucks5LSommaire du Match
55 - 2021-01-03473Panthers3Blues1LSommaire du Match
57 - 2021-01-05492Blues2Kings6LSommaire du Match
58 - 2021-01-06505Flames1Blues0LSommaire du Match
60 - 2021-01-08523Blues1Kraken3LSommaire du Match
61 - 2021-01-09535Blues2Golden Seals1WXXSommaire du Match
62 - 2021-01-10543Canadiens4Blues1LSommaire du Match
64 - 2021-01-12566Bruins1Blues2WSommaire du Match
67 - 2021-01-15588Blues2Ducks1WSommaire du Match
68 - 2021-01-16599Maple Leafs1Blues3WSommaire du Match
70 - 2021-01-18614Blues4Golden Knights5LXSommaire du Match
71 - 2021-01-19627Canucks-Blues-
74 - 2021-01-22653Maple Leafs-Blues-
76 - 2021-01-24664Blues-Panthers-
77 - 2021-01-25683Blues-Sharks-
78 - 2021-01-26692Lightning-Blues-
81 - 2021-01-29715Blues-Senateurs-
82 - 2021-01-30722Rangers-Blues-
85 - 2021-02-02748Panthers-Blues-
86 - 2021-02-03757Blues-Stars-
88 - 2021-02-05767Blues-Kings-
89 - 2021-02-06783Rangers-Blues-
92 - 2021-02-09809Blues-Senateurs-
93 - 2021-02-10815Nordiques-Blues-
96 - 2021-02-13840Avalanche-Blues-
97 - 2021-02-14850Blues-Avalanche-
100 - 2021-02-17872Flyers-Blues-
101 - 2021-02-18885Blues-Sabres-
103 - 2021-02-20900Blues-Maroons-
104 - 2021-02-21905Predators-Blues-
107 - 2021-02-24935Sabres-Blues-
109 - 2021-02-26952Blues-Sabres-
110 - 2021-02-27964Sharks-Blues-
111 - 2021-02-28978Blues-Maple Leafs-
113 - 2021-03-02995Maroons-Blues-
115 - 2021-03-041010Blues-Canadiens-
116 - 2021-03-051026Maroons-Blues-
117 - 2021-03-061037Blues-Jets-
120 - 2021-03-091058Sabres-Blues-
122 - 2021-03-111070Blues-Wild-
124 - 2021-03-131089Red Wings-Blues-
125 - 2021-03-141098Blues-Lightning-
128 - 2021-03-171119Golden Seals-Blues-
129 - 2021-03-181128Blues-Flames-
132 - 2021-03-211149Capitals-Blues-
133 - 2021-03-221165Blues-Canadiens-
134 - 2021-03-231167Blues-Nordiques-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
136 - 2021-03-251184Capitals-Blues-
137 - 2021-03-261197Blues-Maple Leafs-
139 - 2021-03-281213Sharks-Blues-
141 - 2021-03-301221Blues-Flames-
145 - 2021-04-031244Blues-Wild-
147 - 2021-04-051253Senateurs-Blues-
148 - 2021-04-061266Blues-Oilers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des Billets100604030200
Assistance91,74491,60130,11346,32815,013
Attendance PCT76.45%91.60%75.28%57.91%75.07%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
21 13740 - 76.33% 1,509,923$30,198,456$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
36,086,990$ 67,938,333$ 65,473,333$ 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
67,938,333$ 36,086,990$ 0$ 21 2

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
31,708,379$ 80 458,107$ 36,648,560$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
37,930,835$ 35,599,922$ 31,461,538$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
70,491,110$ 12,008,890$ 82,500,000$ 7,491,110$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Evander KaneAGE:29PO:81OV:75
Evgeny KuznetsovAGE:28PO:78OV:74
Anthony CirelliAGE:23PO:79OV:73
Reilly SmithAGE:29PO:80OV:72
Christian DvorakAGE:25PO:74OV:70
Jonathan DrouinAGE:25PO:75OV:69
Artem AnisimovAGE:32PO:73OV:68
Zach Sanford (R)AGE:26PO:74OV:66
Michael FrolikAGE:33PO:66OV:65
Matt MartinAGE:31PO:66OV:64
Dominik SimonAGE:26PO:65OV:63
Ryan ReavesAGE:34PO:64OV:62
Dmitry SokolovAGE:22PO:64OV:59
Austin WagnerAGE:23PO:63OV:59
Valentin ZykovAGE:25PO:62OV:59
Jaret Anderson-Dolan (R)AGE:21PO:61OV:59
Jeffrey Truchon-Viel (R)AGE:22PO:60OV:58
Kevin RoyAGE:27PO:62OV:57
Max McCormickAGE:28PO:59OV:57
Michael CarconeAGE:24PO:60OV:56
Tyrell GoulbourneAGE:27PO:52OV:53
Evgeny KuznetsovAGE:28PO:78OV:74
Anthony CirelliAGE:23PO:79OV:73
Christian DvorakAGE:25PO:74OV:70
Jonathan DrouinAGE:25PO:75OV:69
Artem AnisimovAGE:32PO:73OV:68
Colin WhiteAGE:24PO:66OV:66
Dominik SimonAGE:26PO:65OV:63
Matthew PecaAGE:27PO:65OV:61
Denis MalginAGE:24PO:63OV:61
Shane Bowers (R)AGE:21PO:63OV:59
Jaret Anderson-Dolan (R)AGE:21PO:61OV:59
Cole Cassels (R)AGE:25PO:61OV:58
Gabriel DumontAGE:30PO:61OV:58
Kevin RoyAGE:27PO:62OV:57
Alex DostieAGE:23PO:62OV:56
Cameron HughesAGE:24PO:58OV:56
Mason ShawAGE:22PO:58OV:54
Evgeny KuznetsovAGE:28PO:78OV:74
Anthony CirelliAGE:23PO:79OV:73
Reilly SmithAGE:29PO:80OV:72
Jonathan DrouinAGE:25PO:75OV:69
Colin WhiteAGE:24PO:66OV:66
Curtis LazarAGE:26PO:69OV:65
Michael FrolikAGE:33PO:66OV:65
Matt MartinAGE:31PO:66OV:64
Ryan ReavesAGE:34PO:64OV:62
Dmitry SokolovAGE:22PO:64OV:59
Valentin ZykovAGE:25PO:62OV:59
Jeremy BraccoAGE:23PO:60OV:59
Trey Fix-Wolansky (R)AGE:21PO:63OV:58
Gabriel DumontAGE:30PO:61OV:58
Kevin RoyAGE:27PO:62OV:57
Michael CarconeAGE:24PO:60OV:56

Défense #1Défense #2Gardien
Morgan RiellyAGE:26PO:68OV:74
Marc-Edouard VlasicAGE:33PO:65OV:72
Justin FaulkAGE:28PO:64OV:70
MacKenzie WeegarAGE:27PO:69OV:68
Sean Walker (R)AGE:26PO:64OV:66
Jarred TinordiAGE:29PO:61OV:66
Mike ReillyAGE:27PO:63OV:65
Cameron SchillingAGE:32PO:56OV:60
Julian MelchioriAGE:29PO:55OV:60
William LagessonAGE:24PO:56OV:58
Robbie RussoAGE:28PO:54OV:57
Ashton SautnerAGE:26PO:52OV:57
Nolan ValleauAGE:28PO:52OV:56
Dmitri Samorukov (R)AGE:21PO:52OV:56
Josh WesleyAGE:24PO:51OV:55
Chad Krys (R)AGE:22PO:51OV:54
Michael PaliottaAGE:27PO:50OV:54
Hunter Drew (R)AGE:22PO:50OV:54
Lucas JohansenAGE:23PO:51OV:53
Jonathan QuickAGE:35PO:62OV:69
Brian ElliottAGE:35PO:55OV:66
Kasimir KaskisuoAGE:27PO:58OV:59
Charlie LindgrenAGE:27PO:43OV:55

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
Artem ShlaineBlues2020137
Axel AnderssonBlues201853
Blake McLaughlinBlues201872
Dylan GarandBlues2020123
Elliot EkmarkBlues2020199
Eric EngstrandBlues2020158
Eric RoyBlues
Frederik OlofssonBlues2014137
JOHN DRAEGERBlues201292
Jack WalkerBlues2016143
Jesper SellgrenBlues2018203
Jordan SambrookBlues2016138
MIKKO VAINONENBlues2012122
Markus PhillipsBlues201790
Mathias LaferriereBlues2018180
Matias RajaniemiBlues2020185
Matt KesselBlues2020153
Maximilian PajpachBlues2014184
Nikolas KobersteinBlues2014125
Ruslan IskhakovBlues201861
Ryan SegallaBlues2013122
Sam StangeBlues2020120
Scott ReedyBlues201775
Steven JohnsonBlues2014154
Trevor KuntarBlues2020112

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
2021SJS STL TOR LAK STL EDM EDM OTT STL STL
2022STL STL STL STL STL EDM STL STL
2023STL STL STL STL STL STL STL STL
2024STL STL STL STL STL STL STL STL
2025STL STL STL STL STL STL STL STL




La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[2021-02-20 09:49:29] - TRADE : From Blues to Kings : Jeff Carter (71), Y:2021-RND:6-BOS.
[2021-02-20 09:49:29] - TRADE : From Kings to Blues : Artem Anisimov (68), Scott Reedy (P), Y:2021-RND:3-LAK.
[2021-02-04 09:13:52] - TRADE : From Bruins to Blues : Jarred Tinordi (66), Y:2021-RND:3-TOR, Y:2021-RND:6-BOS.
[2021-02-04 09:13:52] - TRADE : From Blues to Bruins : Andy Greene (73).
[2021-01-30 13:56:22] - TRADE : From Blues to Flames : Melker Karlsson (64).
[2021-01-18 12:15:44] - Peoria Riverman hired John Stevens for 100 000 $ for 1 year(s).
[2021-01-18 12:15:23] - Blues hired Rick Bowness for 777 777 $ for 3 year(s).
[2021-01-18 12:15:11] - Peoria Riverman fired Rick Bowness.
[2021-01-18 12:15:07] - Blues fired John Stevens.
[2021-01-11 12:49:54] - TRADE : From Oilers to Blues : Cameron Hughes (56), Y:2022-RND:6-EDM.
[2021-01-11 12:49:54] - TRADE : From Blues to Oilers : Andy Welinski (61).
[2021-01-06 19:53:08] - TRADE : From Blues to Capitals : Alexis Gravel (P).
[2020-12-09 07:15:14] - New Record for Team's Most Points (24) in 1 Game for Blues!
[2020-12-09 07:15:14] - New Record for Team's Most Assists (15) in 1 Game for Blues!
[2020-11-23 09:05:00] - Melker Karlsson was added to Blues.
[2020-11-23 09:05:00] - Blues claimed Melker Karlsson from waivers by Predators for 0 $.
[2020-11-23 09:04:55] - Blues show interest in Melker Karlsson from waiver.
[2020-11-19 17:57:30] - TRADE : From Blues to Flames : Jason Demers (70), Y:2021-RND:6-STL.
[2020-11-19 17:57:30] - TRADE : From Flames to Blues : Jeff Carter (71).
[2020-11-17 09:03:07] - TRADE : From Oilers to Blues : Mike Reilly (66).
[2020-11-17 09:03:07] - TRADE : From Blues to Oilers : Y:2021-RND:4-CAL.
[2020-10-09 14:02:51] - Blues drafts Elliot Ekmark as the #199 overall pick in the Entry Draft of year 2020.
[2020-10-09 14:01:35] - Blues drafts Matias Rajaniemi as the #185 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:58:13] - Blues drafts Eric Engstrand as the #158 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:57:42] - Blues drafts Matt Kessel as the #153 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:56:11] - Blues drafts Artem Shlaine as the #137 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:54:37] - Blues drafts Dylan Garand as the #123 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:54:10] - Blues drafts Sam Stange as the #120 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:50:30] - Blues drafts Trevor Kuntar as the #112 overall pick in the Entry Draft of year 2020.
[2020-10-08 09:19:43] - Peoria Riverman hired Rick Bowness for 77 777 $ for 3 year(s).
[2020-10-01 07:42:55] - Kasimir Kaskisuo signed with Blues for 700 000 $ for 1 year(s).
[2020-10-01 07:42:55] - Kasimir Kaskisuo was added to Blues.
[2020-09-11 18:30:31] - Corey Perry was released.
[2020-09-11 18:30:31] - Blues paid 0 $ to release Corey Perry.
[2020-09-11 14:41:09] - TRADE : From Sharks to Blues : Justin Faulk (71), Jonathan Drouin (69), Y:2021-RND:3-SJS, Y:2020-RND:4-SJS.
[2020-09-11 14:41:09] - TRADE : From Blues to Sharks : Brendan Smith (66), Dillon Dube (63), Joseph Veleno (59), Y:2021-RND:1-STL.



[2021-02-20 09:49:29] TRADE : From Blues to Kings : Jeff Carter (71), Y:2021-RND:6-BOS.
[2021-02-20 09:49:29] TRADE : From Kings to Blues : Artem Anisimov (68), Scott Reedy (P), Y:2021-RND:3-LAK.
[2021-02-19 08:25:42] Matthew Peca from Peoria Riverman is back from Right Hand Injury.
[2021-02-19 08:25:41] Game 626 - Matthew Peca from Peoria Riverman is injured (Right Hand) and is out for 5 days.
[2021-02-19 08:25:41] Game 614 - MacKenzie Weegar from Blues is injured (Lower Body) and is out for 2 weeks.
[2021-02-09 11:11:53] Successfully loaded Blues lines done with STHS Client - 3.2.5.5
[2021-02-09 11:11:53] Jarred Tinordi of Blues was sent to pro.
[2021-02-08 12:47:14] Auto Lines Function has been run for Blues.
[2021-02-05 08:40:06] Jarred Tinordi of Blues was sent to farm.
[2021-02-05 08:40:06] Peoria Riverman lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2021-02-05 08:39:55] Auto Lines Function has been run for Blues.
[2021-02-04 09:13:52] TRADE : From Bruins to Blues : Jarred Tinordi (66), Y:2021-RND:3-TOR, Y:2021-RND:6-BOS.
[2021-02-04 09:13:52] TRADE : From Blues to Bruins : Andy Greene (73).
[2021-02-04 09:05:25] Evander Kane from Blues is back from Exhaustion.
[2021-02-04 08:59:35] Successfully loaded Blues lines done with STHS Client - 3.2.3.3
[2021-02-03 10:21:51] Andy Greene from Blues is back from Exhaustion.
[2021-02-03 10:21:34] Evander Kane from Blues is injured from Exhaustion.
[2021-02-03 10:21:34] Andy Greene from Blues is injured from Exhaustion.
[2021-02-02 14:28:27] Colin White from Blues is back from Head Injury.



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