Wolves
GP: 82 | W: 34 | L: 35 | OTL: 13 | P: 81
GF: 177 | GA: 205 | PP%: 11.42% | PK%: 84.62%
DG: Michael Lévesque | Morale : 50 | Moyenne d'Équipe : N/A
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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 SPÂgeContratSalaire
1Andy AndreoffXX100.00794495707452815446575561256364615000292677,500$
2Brett RitchieX100.009870787781566462366258552565666350002611,750,000$
3Michael ChaputXX100.007875867375747863795564706160606650002821,000,000$
4Sam GagnerXX100.006542907672657867486366576179806636003023,150,000$
5Trent Frederic (R)X100.006475376575788359746053585045455850002231,137,500$
6Yannick Veilleux (R)X100.00767677617659586450566865654444655000271833,333$
7Barrett Hayton (R) (A)XX100.006942808471585461496257522545456141002032,644,167$
8David Gustafsson (R)X100.00594199807145575164505769254646605000203925,000$
9Jason Robertson (R)X100.00777386747377806550596766644444694600203894,167$
10Laurent DauphinXXX100.007168796468727660755660625747476350002511,000,000$
11Jakub Lauko (R)XX100.00666470606455555670485958564444585000203894,167$
12Jonas SiegenthalerX100.007154816882677956254948912558596350002331,758,333$
13Noah JuulsenX100.007467905367474748254139603745455050002321,063,333$
14Ryan Lindgren (R)X100.008155786172708658255647792551516241002231,100,000$
15Andrew Peeke (R)X100.007644937674636357254848632546465850002231,491,667$
16Travis Sanheim (C)X100.006742868070809367255953802560616746002411,263,333$
17Vince Dunn (A)X100.00695388857369927225545458256061635000231894,167$
Rayé
1Boris Katchouk (R)X100.00757184617180856050565964564444635000223894,166$
2Dylan GambrellX100.007155896272617963726159732550516550002321,137,000$
3Glenn Gawdin (R)X100.00757184647174766680676165584444655000233925,000$
4Mackenzie MacEachern (R)X100.00815681627252746331566667255555665000263750,000$
5Sven BaertschiX100.007469868469615971507461715864656811002711,638,750$
6Joona Luoto (R)XX100.006742957370466452255055722545456050002211,012,500$
7MacKenzie Entwistle (R)X100.00737080637070745850545862554444615000203894,167$
8Jake Walman (R)X100.00706583716574795525474861464848585000243925,000$
9Niko Mikkola (R)X100.00757185687173794925434061384444545000263925,000$
10Jordan SchmaltzX100.00757282687263675125454163394949545000261700,000$
MOYENNE D'ÉQUIPE100.0073608370726473604555566541515262470
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
1Casey DeSmith100.0057688566556151605655304848585000
2Ville Husso (R)100.0059648081596456646261304444614600
Rayé
MOYENNE D'ÉQUIPE100.005866837457635462595830464660480
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy73717270827769CAN5631,000,000$


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
1Michael ChaputWolves (STL)C/LW82212950126925601761725110212.21%8137916.825813382500000642463.84%119200000.7215212362
2Travis SanheimWolves (STL)D8010405037409710513243887.58%94190323.80717241043860221361300.00%000000.5300000546
3Jason RobertsonWolves (STL)LW811824427560581261765811910.23%9144017.793582424020231305145.38%13000000.5817000521
4Vince DunnWolves (STL)D8292534-78951015789315310.11%47182622.286511703540220330010.00%000000.3700010125
5Brett RitchieWolves (STL)RW8215173241241022959102176214.71%5144317.6164101933001131082236.36%16500000.44210011333
6Jonas SiegenthalerWolves (STL)D8292332-1064094919934599.09%85171320.897916733360001320410.00%000000.3700000043
7Sam GagnerWolves (STL)C/RW65131730-712032102100255513.00%6138221.27312153328410132800250.19%131500000.43212000522
8Tim SchallerBluesLW/RW5311193011403175108377810.19%1290517.0848123621910121020143.90%8200000.6602000132
9Sven BaertschiWolves (STL)LW40111223-3180389872235815.28%1086421.613691516000031923044.01%45900000.5314000312
10Ryan LindgrenWolves (STL)D5651520-2960131564393711.63%40109719.59279251830001158020.00%000000.3600000001
11David GustafssonWolves (STL)C8061016-580131078822456.82%57699.620444460000152252.37%50600000.4200000101
12Dylan GambrellWolves (STL)C3510414-10100227255173918.18%849714.22112612000053060.33%30000000.5601000123
13Barrett HaytonWolves (STL)C/LW4731114-68017292872010.71%14118.760440640112430140.61%16500000.6800000100
14Laurent DauphinWolves (STL)C/LW/RW688614-6300625164164812.50%499114.5822491150001540148.10%7900000.2822000111
15Noah JuulsenWolves (STL)D7511213-229210138432113144.76%53123916.5301110610000147010.00%000000.2100002110
16Andy AndreoffWolves (STL)C/LW6601212-1037537594810430.00%670510.680336510111640044.75%29500000.3412001000
17Glenn GawdinWolves (STL)C313710-120033362151114.29%938212.3300004000070058.49%15900000.5200000102
18Jason DickinsonBluesC/LW/RW22639-6140313044133613.64%639718.07516131040001222051.52%13200000.4500000104
19Joona LuotoWolves (STL)LW/RW33268-518011323811325.26%341312.54101280000140044.44%3600000.3900000000
20Austin PoganskiBluesRW18235124021121541113.33%322112.3100006000000166.67%600000.4500000010
21Jordan SchmaltzWolves (STL)D26235-9595511364433.33%1441816.11000025000023000.00%000000.2400010011
22Trent FredericWolves (STL)C43123295128981411.11%22074.820223460000231061.43%7000000.2900001001
23Yannick VeilleuxWolves (STL)LW51230204530733.33%27014.070000100003000.00%100000.8501000001
24Niko MikkolaWolves (STL)D90223801502110.00%313214.7100003000015000.00%000000.3000000000
25Andrew PeekeWolves (STL)D81120806651120.00%113316.70101313000016000.00%000000.3000000001
26Jakub LaukoWolves (STL)C/LW31011-7401448360.00%11544.9700000000000050.00%1000000.1300000000
Stats d'équipe Total ou en Moyenne1300168306474-8396765135814521548463104310.85%4372110416.23569915549333164711222507272052.72%510200000.451046247333342
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
1Ville HussoWolves (STL)813334130.8732.34484012518914940410.71259810314
2Casey DeSmithWolves (STL)51100.9321.83164005730001.0003182000
Stats d'équipe Total ou en Moyenne863435130.8762.33500412519415670410.726628282314


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 Salaire RestantSalaire MoyenSalaire Moyen RestantCap 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
Andrew PeekeWolves (STL)D221998-03-17Yes198 Lbs6 ft3NoNoNo3Pro & Farm1,491,667$12,030$1,491,667$12,030$0$0$No1,491,667$1,491,667$
Andy AndreoffWolves (STL)C/LW291991-05-17No203 Lbs6 ft1NoNoNo2Pro & Farm677,500$5,464$677,500$5,464$0$0$No677,500$Lien
Barrett HaytonWolves (STL)C/LW202000-06-08Yes190 Lbs6 ft1NoNoNo3Pro & Farm2,644,167$21,324$2,644,167$21,324$0$0$No2,644,167$2,644,167$
Boris KatchoukWolves (STL)LW221998-06-18Yes192 Lbs6 ft1NoNoNo3Pro & Farm894,166$7,211$894,166$7,211$0$0$No894,166$894,166$
Brett RitchieWolves (STL)RW261993-07-01No217 Lbs6 ft3NoNoNo1Pro & Farm1,750,000$14,113$1,750,000$14,113$0$0$NoLien
Casey DeSmithWolves (STL)G281991-08-12No181 Lbs6 ft0NoNoNo2Pro & Farm675,000$5,444$675,000$5,444$0$0$No675,000$Lien
David GustafssonWolves (STL)C202000-04-11Yes194 Lbs6 ft1NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Dylan GambrellWolves (STL)C231996-08-26No195 Lbs6 ft0NoNoNo2Pro & Farm1,137,000$9,169$1,137,000$9,169$0$0$No1,137,000$Lien
Glenn GawdinWolves (STL)C231997-03-25Yes191 Lbs6 ft1NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Jake WalmanWolves (STL)D241996-02-19Yes170 Lbs6 ft1NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Jakub LaukoWolves (STL)C/LW202000-03-28Yes170 Lbs6 ft0NoNoNo3Pro & Farm894,167$7,211$894,167$7,211$0$0$No894,167$894,167$
Jason RobertsonWolves (STL)LW201999-07-21Yes195 Lbs6 ft2NoNoNo3Pro & Farm894,167$7,211$894,167$7,211$0$0$No894,167$894,167$
Jonas SiegenthalerWolves (STL)D231997-05-06No220 Lbs6 ft3NoNoNo3Pro & Farm1,758,333$14,180$883,333$7,124$0$0$No883,333$883,333$Lien
Joona LuotoWolves (STL)LW/RW221997-09-26Yes185 Lbs6 ft2NoNoNo1Pro & Farm1,012,500$8,165$1,000,000$8,065$0$0$NoLien
Jordan SchmaltzWolves (STL)D261993-10-08No190 Lbs6 ft2NoNoNo1Pro & Farm700,000$5,645$700,000$5,645$0$0$NoLien
Laurent DauphinWolves (STL)C/LW/RW251995-03-27No180 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
MacKenzie EntwistleWolves (STL)RW201999-07-13Yes184 Lbs6 ft3NoNoNo3Pro & Farm894,167$7,211$894,167$7,211$0$0$No894,167$894,167$
Mackenzie MacEachernWolves (STL)LW261994-03-08Yes190 Lbs6 ft2NoNoNo3Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$750,000$
Michael ChaputWolves (STL)C/LW281992-04-08No204 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$No1,000,000$Lien
Niko MikkolaWolves (STL)D261994-04-26Yes184 Lbs6 ft4NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Noah JuulsenWolves (STL)D231997-04-02No175 Lbs6 ft2NoNoNo2Pro & Farm1,063,333$8,575$1,063,333$8,575$0$0$No1,063,333$Lien
Ryan LindgrenWolves (STL)D221998-02-10Yes198 Lbs6 ft0NoNoNo3Pro & Farm1,100,000$8,871$1,100,000$8,871$0$0$No1,100,000$1,100,000$
Sam GagnerWolves (STL)C/RW301989-08-09No200 Lbs5 ft11NoNoNo2Pro & Farm3,150,000$25,403$3,150,000$25,403$0$0$No3,150,000$Lien
Sven BaertschiWolves (STL)LW271992-10-05No190 Lbs5 ft11NoNoNo1Pro & Farm1,638,750$13,216$1,000,000$8,065$0$0$NoLien
Travis SanheimWolves (STL)D241996-03-28No181 Lbs6 ft3NoNoNo1Pro & Farm1,263,333$10,188$1,263,333$10,188$0$0$NoLien
Trent FredericWolves (STL)C221998-02-11Yes203 Lbs6 ft2NoNoNo3Pro & Farm1,137,500$9,173$1,137,500$9,173$0$0$No1,137,500$1,137,500$
Ville HussoWolves (STL)G251995-02-05Yes205 Lbs6 ft3NoNoNo3Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$
Vince DunnWolves (STL)D231996-10-28No203 Lbs6 ft0NoNoNo1Pro & Farm894,167$7,211$894,167$7,211$0$0$NoLien
Yannick VeilleuxWolves (STL)LW271993-02-22Yes206 Lbs6 ft2NoNoNo1Pro & Farm833,333$6,720$450,000$3,629$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.00193 Lbs6 ft12.241,160,457$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jason RobertsonSam GagnerBrett Ritchie35122
2Andy AndreoffMichael ChaputLaurent Dauphin30122
3Yannick VeilleuxBarrett HaytonDavid Gustafsson25122
4Jakub LaukoDavid GustafssonSam Gagner10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimVince Dunn35122
2Jonas SiegenthalerRyan Lindgren30122
3Andrew PeekeNoah Juulsen25122
4Travis SanheimVince Dunn10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jason RobertsonSam GagnerBrett Ritchie60122
2Andy AndreoffMichael ChaputLaurent Dauphin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimVince Dunn60122
2Jonas SiegenthalerRyan Lindgren40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sam GagnerBrett Ritchie60122
2Jason RobertsonMichael Chaput40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimVince Dunn60122
2Jonas SiegenthalerRyan Lindgren40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sam Gagner60122Travis SanheimVince Dunn60122
2Brett Ritchie40122Jonas SiegenthalerRyan Lindgren40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sam GagnerBrett Ritchie60122
2Jason RobertsonMichael Chaput40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimVince Dunn60122
2Jonas SiegenthalerRyan Lindgren40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jason RobertsonSam GagnerBrett RitchieTravis SanheimVince Dunn
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jason RobertsonSam GagnerBrett RitchieTravis SanheimVince Dunn
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trent Frederic, Yannick Veilleux, Barrett HaytonTrent Frederic, Yannick VeilleuxBarrett Hayton
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew Peeke, Noah Juulsen, Jonas SiegenthalerAndrew PeekeNoah Juulsen, Jonas Siegenthaler
Tirs de Pénalité
Sam Gagner, Brett Ritchie, Jason Robertson, Michael Chaput, Andy Andreoff
Gardien
#1 : Ville Husso, #2 : Casey DeSmith


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
1Admirals32100000862110000004222110000044040.66781523005447691252524482520825716465723521.74%22481.82%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
2Bruins210000016511000000134-11100000031230.75061218005447691247524482520824311224213323.08%11372.73%11130218851.65%1109220450.32%627118053.14%2060141819146141036527
3Condors32000001761210000014401100000032150.83371320005447691250524482520826014496419421.05%21290.48%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
4Crunch2020000068-21010000045-11010000023-100.0006111700544769124452448252082581326379222.22%12466.67%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
5Flames3120000079-2211000006511010000014-320.33371219115447691246524482520826017485915213.33%23578.26%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
6Griffins2110000056-1110000003211010000024-220.500591400544769122252448252082562630386116.67%14192.86%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
7IceHogs926000101420-64120001088051400000612-660.333142539005447691215852448252082167351161765347.55%51884.31%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
8Marlies21001000862100010004311100000043141.0008162400544769125452448252082407213012325.00%8187.50%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
9Monarchs4210000110912010000135-22200000074350.625101727005447691259524482520825722487325312.00%22386.36%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
10Monsters21000001330110000001011000000123-130.75035801544769123152448252082201012339111.11%50100.00%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
11Moose3110010045-12010010035-21100000010130.5004812015447691254524482520825020303721314.29%14192.86%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
12Penguins512000111215-33100001110822020000027-550.5001221330054476912106524482520827521638234617.65%26388.46%11130218851.65%1109220450.32%627118053.14%2060141819146141036527
13Phantoms21000001660110000004311000000123-130.7506101600544769124552448252082281021311218.33%80100.00%11130218851.65%1109220450.32%627118053.14%2060141819146141036527
14Rampage852001001813542200000862430001001073110.68818345202544769122285244825208214851701463937.69%32584.38%11130218851.65%1109220450.32%627118053.14%2060141819146141036527
15Rocket20000011330100000102111000000112-130.750347005447691235524482520824192741800.00%11190.91%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
16Senators20100010770100000103211010000045-120.5007101700544769123752448252082521430271616.25%15286.67%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
17Sharks3020001058-3100000103212020000026-420.333581300544769125152448252082551542831600.00%21480.95%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
18Soldiers824000111622-641300000710-341100011912-370.438162743005447691215152448252082142451211136457.81%49785.71%11130218851.65%1109220450.32%627118053.14%2060141819146141036527
19Sound Tigers22000000752110000003211100000043141.0007111800544769124052448252082551224379222.22%10190.00%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
20Stars825001001522-742100100118340400000414-1050.313152843005447691214352448252082165421061763239.38%51884.31%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
21Wolf Pack705000021021-1130300000511-640200002510-520.14310182800544769129652448252082139281001382913.45%42978.57%01130218851.65%1109220450.32%627118053.14%2060141819146141036527
Total822735013610177205-2841141501254999634113200011678109-31810.49417731449115544769121549524482520821568438105215204645311.42%4687284.62%51130218851.65%1109220450.32%627118053.14%2060141819146141036527
_Since Last GM Reset822735013610177205-2841141501254999634113200011678109-31810.49417731449115544769121549524482520821568438105215204645311.42%4687284.62%51130218851.65%1109220450.32%627118053.14%2060141819146141036527
_Vs Conference53212300333109122-132610100022257543271113001115268-16540.5091091953040354476912100852448252082101229868210003073310.75%3074485.67%21130218851.65%1109220450.32%627118053.14%2060141819146141036527
_Vs Division331218002216377-141678001103432217510001112945-16310.47063114177025447691268052448252082622173413611188157.98%1832884.70%21130218851.65%1109220450.32%627118053.14%2060141819146141036527

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8281W4177314491154915684381052152015
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
82273513610177205
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41141512549996
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
411320011678109
Derniers 10 Matchs
WLOTWOTL SOWSOL
710002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4645311.42%4687284.62%5
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
5244825208254476912
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
1130218851.65%1109220450.32%627118053.14%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2060141819146141036527


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 - 2020-09-276Rampage2Wolves1LSommaire du Match
3 - 2020-09-2923Wolves1Wolf Pack2LSommaire du Match
4 - 2020-09-3031Wolf Pack4Wolves2LSommaire du Match
5 - 2020-10-0143Wolves2Wolf Pack3LXXSommaire du Match
6 - 2020-10-0248IceHogs3Wolves1LSommaire du Match
9 - 2020-10-0564Wolves2Crunch3LSommaire du Match
10 - 2020-10-0669Wolves1IceHogs3LSommaire du Match
12 - 2020-10-0881Soldiers4Wolves3LSommaire du Match
14 - 2020-10-1093Stars2Wolves1LXSommaire du Match
17 - 2020-10-13108Wolves1Rampage0WSommaire du Match
18 - 2020-10-14113Soldiers2Wolves1LSommaire du Match
20 - 2020-10-16125Wolves1Soldiers5LSommaire du Match
21 - 2020-10-17135Wolves2IceHogs3LSommaire du Match
22 - 2020-10-18143Wolves1Stars3LSommaire du Match
23 - 2020-10-19154Stars2Wolves5WSommaire du Match
24 - 2020-10-20163Wolves4Rampage2WSommaire du Match
26 - 2020-10-22176Rampage1Wolves3WSommaire du Match
28 - 2020-10-24195Marlies3Wolves4WXSommaire du Match
30 - 2020-10-26200Wolves0Sharks3LSommaire du Match
32 - 2020-10-28209Wolves1Wolf Pack3LSommaire du Match
34 - 2020-10-30220Flames0Wolves3WSommaire du Match
36 - 2020-11-01234Rampage3Wolves1LSommaire du Match
38 - 2020-11-03246Condors2Wolves3WSommaire du Match
40 - 2020-11-05256Wolves1Stars5LSommaire du Match
42 - 2020-11-07270Soldiers2Wolves0LSommaire du Match
45 - 2020-11-10284Wolves1Stars2LSommaire du Match
46 - 2020-11-11296Moose3Wolves2LXSommaire du Match
48 - 2020-11-13311Wolves2Soldiers3LXXSommaire du Match
49 - 2020-11-14319Stars1Wolves4WSommaire du Match
50 - 2020-11-15330Wolves4Monarchs3WSommaire du Match
51 - 2020-11-16338IceHogs2Wolves3WXXSommaire du Match
53 - 2020-11-18355Sharks2Wolves3WXXSommaire du Match
54 - 2020-11-19366Wolves1Rocket2LXXSommaire du Match
55 - 2020-11-20373Wolves2Rampage3LXSommaire du Match
56 - 2020-11-21385IceHogs1Wolves4WSommaire du Match
58 - 2020-11-23399Wolf Pack4Wolves2LSommaire du Match
59 - 2020-11-24413Wolves4Marlies3WSommaire du Match
60 - 2020-11-25420Senators2Wolves3WXXSommaire du Match
61 - 2020-11-26424Wolves2Soldiers1WSommaire du Match
63 - 2020-11-28442Flames5Wolves3LSommaire du Match
64 - 2020-11-29447Wolves0IceHogs3LSommaire du Match
66 - 2020-12-01463Stars3Wolves1LSommaire du Match
67 - 2020-12-02472Wolves2Penguins3LSommaire du Match
68 - 2020-12-03478Wolves1IceHogs2LSommaire du Match
70 - 2020-12-05495Wolves0Penguins4LSommaire du Match
71 - 2020-12-06501Penguins5Wolves4LXXSommaire du Match
73 - 2020-12-08516IceHogs2Wolves0LSommaire du Match
74 - 2020-12-09528Sound Tigers2Wolves3WSommaire du Match
75 - 2020-12-10536Wolves2IceHogs1WSommaire du Match
77 - 2020-12-12551Rampage0Wolves3WSommaire du Match
79 - 2020-12-14561Wolves1Stars4LSommaire du Match
80 - 2020-12-15572Wolves3Bruins1WSommaire du Match
81 - 2020-12-16583Wolf Pack3Wolves1LSommaire du Match
83 - 2020-12-18593Wolves3Monarchs1WSommaire du Match
85 - 2020-12-20606Bruins4Wolves3LXXSommaire du Match
86 - 2020-12-21617Condors2Wolves1LXXSommaire du Match
88 - 2020-12-23633Wolves2Griffins4LSommaire du Match
89 - 2020-12-24637Wolves3Rampage2WSommaire du Match
91 - 2020-12-26647Moose2Wolves1LSommaire du Match
92 - 2020-12-27661Monarchs4Wolves3LXXSommaire du Match
94 - 2020-12-29677Wolves0Admirals1LSommaire du Match
95 - 2020-12-30684Wolves2Phantoms3LXXSommaire du Match
96 - 2020-12-31692Soldiers2Wolves3WSommaire du Match
97 - 2021-01-01704Wolves1Flames4LSommaire du Match
98 - 2021-01-02714Phantoms3Wolves4WSommaire du Match
99 - 2021-01-03723Wolves1Moose0WSommaire du Match
101 - 2021-01-05737Monarchs1Wolves0LSommaire du Match
102 - 2021-01-06745Wolves2Sharks3LSommaire du Match
103 - 2021-01-07753Wolves3Condors2WSommaire du Match
104 - 2021-01-08764Crunch5Wolves4LSommaire du Match
105 - 2021-01-09777Wolves4Admirals3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11788Penguins1Wolves2WXXSommaire du Match
109 - 2021-01-13802Rocket1Wolves2WXXSommaire du Match
110 - 2021-01-14813Wolves2Monsters3LXXSommaire du Match
112 - 2021-01-16824Admirals2Wolves4WSommaire du Match
113 - 2021-01-17832Wolves4Sound Tigers3WSommaire du Match
114 - 2021-01-18844Wolves4Senators5LSommaire du Match
115 - 2021-01-19849Wolves1Wolf Pack2LXXSommaire du Match
116 - 2021-01-20854Griffins2Wolves3WSommaire du Match
117 - 2021-01-21861Wolves4Soldiers3WXXSommaire du Match
119 - 2021-01-23880Penguins2Wolves4WSommaire du Match
122 - 2021-01-26901Monsters0Wolves1WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,432,945$ 3,365,326$ 3,174,368$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 3,440,994$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 35,204$ 35,204$




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