Wolves

GP: 7 | W: 3 | L: 3 | OTL: 1 | P: 7
GF: 17 | GA: 18 | PP%: 15.63% | PK%: 81.63%
DG: Michael Lévesque | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #84 vs Stars
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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
1Andy AndreoffXX100.00794495707452815446575561256364615000
2Austin PoganskiX100.00807590657573776050595766544444645000
3Brett RitchieX100.00987078778156646236625855256566635000
4Devin ShoreXX100.00774493797559786049636061256565654700
5Michael ChaputXX100.00787586737574786379556470616060665000
6Micheal FerlandXX100.00949285807955625826745857256566655000
7Sven BaertschiX100.00746986846961597150746171586465684700
8Tim SchallerXX100.00754491787859705636525991256263665000
9Barrett Hayton (R)XX100.00694280847158546149625752254545615000
10Jason Robertson (R)X100.00777386747377806550596766644444695000
11Laurent DauphinXXX100.00716879646872766075566062574747634700
12Jonas SiegenthalerX100.00715481688267795625494891255859635000
13Joel EdmundsonX100.00826671788275835825545089256668655000
14Kevin ShattenkirkX100.00734384857376897025675166787678665000
15Ryan Lindgren (R)X100.00815578617270865825564779255151625000
16Ville Heinola (R)X100.00766699806650505025473962374444535000
17Vince DunnX100.00695388857369927225545458256061635000
Rayé
1Boris Katchouk (R)X100.00757184617180856050565964564444635000
2Dylan GambrellX100.00715589627261796372615973255051655000
3Glenn Gawdin (R)X100.00757184647174766680676165584444655000
4Mackenzie MacEachern (R)X100.00815681627252746331566667255555665000
5Trent Frederic (R)X100.00647537657578835974605358504545585000
6Yannick Veilleux (R)X100.00767677617659586450566865654444655000
7Joona Luoto (R)XX100.00674295737046645225505572254545604700
8MacKenzie Entwistle (R)X100.00737080637070745850545862554444615000
9Jakub Lauko (R)XX100.00666470606455555670485958564444585000
10Jake Walman (R)X100.00706583716574795525474861464848585000
11Niko Mikkola (R)X100.00757185687173794925434061384444545000
12Timothy LiljegrenX100.00694293727054645325484768254545585000
13Andrew Peeke (R)X100.00764493767463635725484863254646585000
14Jordan SchmaltzX100.00757282687263675125454163394949545000
MOYENNE D'ÉQUIPE100.0075628371736573594356556640525362500
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 DeSmith100.0057688566556151605655304848584700
2Ville Husso (R)100.0059648081596456646261304444615000
Rayé
MOYENNE D'ÉQUIPE100.005866837457635462595830464660490
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
1Jonas SiegenthalerWolves (STL)D71450100201131333.33%1213819.78123324000034000.00%000000.7200000100
2Michael ChaputWolves (STL)C/LW723536071761333.33%19713.9300024000061061.04%7700001.0300000011
3Tim SchallerWolves (STL)LW/RW732510009142821.43%19513.60123423000000025.00%400001.0500000000
4Vince DunnWolves (STL)D723508012151140.00%414120.17123224000037000.00%000000.7100000001
5Joel EdmundsonWolves (STL)D72240180231271728.57%815321.90101526000133100.00%000000.5200000110
6Kevin ShattenkirkWolves (STL)D71340806833533.33%515822.71112226000138000.00%000000.5000000000
7Sven BaertschiWolves (STL)LW722414011161751111.76%214520.730222260001421050.57%8700000.5500000001
8Austin PoganskiWolves (STL)RW7033300536250.00%08412.140000000000000.00%300000.7100000001
9Jason RobertsonWolves (STL)LW72133205581825.00%09113.0400023000020166.67%600000.6600000001
10Devin ShoreWolves (STL)C/LW71121007981112.50%112818.290000220000330048.70%11500000.3100000010
11Micheal FerlandWolves (STL)LW/RW702211552075640.00%013619.530002240001370045.45%1100000.2900100000
12Brett RitchieWolves (STL)RW701111202737080.00%09413.51000123000000033.33%600000.2100000000
13Ryan LindgrenWolves (STL)D701131402863010.00%611516.450000200004000.00%000000.1700000000
14Barrett HaytonWolves (STL)C/LW7101-22057124100.00%0476.7500000000000166.67%300000.4200000010
15Andy AndreoffWolves (STL)C/LW7000-240844230.00%3669.47000110000150037.50%4000000.0000000000
16Sam GagnerBluesC/RW1000000010000.00%01818.1700002000030043.75%1600000.0000000000
17Ville HeinolaWolves (STL)D2000100310000.00%33517.600000000004000.00%000000.0000000000
18Laurent DauphinWolves (STL)C/LW/RW2000000000000.00%0136.890000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne11017284514103518712097287217.53%46176116.0159142624000042963249.73%36800000.5100100245
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)73310.8872.4341900171510010.000070000
Stats d'équipe Total ou en Moyenne73310.8872.4341900171510010.000070000


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$1,491,667$1,491,667$1,491,667$0$0$No1,491,667$1,491,667$
Andy AndreoffWolves (STL)C/LW291991-05-17No203 Lbs6 ft1NoNoNo2Pro & Farm677,500$677,500$677,500$677,500$0$0$No677,500$Lien
Austin PoganskiWolves (STL)RW241996-02-16No201 Lbs6 ft2NoNoNo2Pro & Farm762,500$762,500$450,000$450,000$0$0$No762,500$Lien
Barrett HaytonWolves (STL)C/LW202000-06-08Yes190 Lbs6 ft1NoNoNo3Pro & Farm2,644,167$2,644,167$2,644,167$2,644,167$0$0$No2,644,167$2,644,167$
Boris KatchoukWolves (STL)LW221998-06-18Yes192 Lbs6 ft1NoNoNo3Pro & Farm894,166$894,166$894,166$894,166$0$0$No894,166$894,166$
Brett RitchieWolves (STL)RW261993-07-01No217 Lbs6 ft3NoNoNo1Pro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$NoLien
Casey DeSmithWolves (STL)G281991-08-12No181 Lbs6 ft0NoNoNo2Pro & Farm675,000$675,000$675,000$675,000$0$0$No675,000$Lien
Devin ShoreWolves (STL)C/LW251994-07-19No205 Lbs6 ft1NoNoNo1Pro & Farm1,143,750$1,143,750$1,000,000$1,000,000$0$0$NoLien
Dylan GambrellWolves (STL)C231996-08-26No195 Lbs6 ft0NoNoNo2Pro & Farm1,137,000$1,137,000$1,137,000$1,137,000$0$0$No1,137,000$Lien
Glenn GawdinWolves (STL)C231997-03-25Yes191 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Jake WalmanWolves (STL)D241996-02-19Yes170 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Jakub LaukoWolves (STL)C/LW202000-03-28Yes170 Lbs6 ft0NoNoNo3Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$894,167$
Jason RobertsonWolves (STL)LW201999-07-21Yes195 Lbs6 ft2NoNoNo3Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$894,167$
Joel EdmundsonWolves (STL)D261993-06-28No215 Lbs6 ft4NoNoNo1Pro & Farm1,050,000$1,050,000$1,050,000$1,050,000$0$0$NoLien
Jonas SiegenthalerWolves (STL)D231997-05-06No220 Lbs6 ft3NoNoNo3Pro & Farm1,758,333$1,758,333$883,333$883,333$0$0$No883,333$883,333$Lien
Joona LuotoWolves (STL)LW/RW221997-09-26Yes185 Lbs6 ft2NoNoNo1Pro & Farm1,012,500$1,012,500$1,000,000$1,000,000$0$0$NoLien
Jordan SchmaltzWolves (STL)D261993-10-08No190 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$700,000$700,000$0$0$NoLien
Kevin ShattenkirkWolves (STL)D311989-01-29No200 Lbs6 ft0NoNoNo3Pro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$No1,750,000$1,750,000$Lien
Laurent DauphinWolves (STL)C/LW/RW251995-03-27No180 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
MacKenzie EntwistleWolves (STL)RW201999-07-13Yes184 Lbs6 ft3NoNoNo3Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$894,167$
Mackenzie MacEachernWolves (STL)LW261994-03-08Yes190 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Michael ChaputWolves (STL)C/LW281992-04-08No204 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Micheal FerlandWolves (STL)LW/RW281992-04-19No208 Lbs6 ft2NoNoNo2Pro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$No1,750,000$Lien
Niko MikkolaWolves (STL)D261994-04-26Yes184 Lbs6 ft4NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Ryan LindgrenWolves (STL)D221998-02-10Yes198 Lbs6 ft0NoNoNo3Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$1,100,000$
Sven BaertschiWolves (STL)LW271992-10-05No190 Lbs5 ft11NoNoNo1Pro & Farm1,638,750$1,638,750$1,000,000$1,000,000$0$0$NoLien
Tim SchallerWolves (STL)LW/RW291990-11-16No210 Lbs6 ft2NoNoNo2Pro & Farm775,000$775,000$775,000$775,000$0$0$No775,000$Lien
Timothy LiljegrenWolves (STL)D211999-04-30No192 Lbs6 ft0NoNoNo2Pro & Farm1,263,333$1,263,333$1,263,333$1,263,333$0$0$No1,263,333$Lien
Trent FredericWolves (STL)C221998-02-11Yes203 Lbs6 ft2NoNoNo3Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$No1,137,500$1,137,500$
Ville HeinolaWolves (STL)D192001-03-02Yes181 Lbs5 ft11NoNoNo3Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$No1,137,500$1,137,500$
Ville HussoWolves (STL)G251995-02-05Yes205 Lbs6 ft3NoNoNo3Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$
Vince DunnWolves (STL)D231996-10-28No203 Lbs6 ft0NoNoNo1Pro & Farm894,167$894,167$894,167$894,167$0$0$NoLien
Yannick VeilleuxWolves (STL)LW271993-02-22Yes206 Lbs6 ft2NoNoNo1Pro & Farm833,333$833,333$450,000$450,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3324.30196 Lbs6 ft12.211,117,687$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sven BaertschiMicheal Ferland35122
2Tim SchallerDevin ShoreBrett Ritchie30122
3Jason RobertsonMichael ChaputAustin Poganski25122
4Barrett HaytonAndy AndreoffLaurent Dauphin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ShattenkirkJoel Edmundson35122
2Vince DunnJonas Siegenthaler30122
3Ryan LindgrenVille Heinola25122
4Kevin ShattenkirkJoel Edmundson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sven BaertschiMicheal Ferland60122
2Tim SchallerDevin ShoreBrett Ritchie40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ShattenkirkJoel Edmundson60122
2Vince DunnJonas Siegenthaler40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sven BaertschiMicheal Ferland60122
2Devin Shore40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ShattenkirkJoel Edmundson60122
2Vince DunnJonas Siegenthaler40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sven Baertschi60122Kevin ShattenkirkJoel Edmundson60122
2Micheal Ferland40122Vince DunnJonas Siegenthaler40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sven BaertschiMicheal Ferland60122
2Devin Shore40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ShattenkirkJoel Edmundson60122
2Vince DunnJonas Siegenthaler40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sven BaertschiMicheal FerlandKevin ShattenkirkJoel Edmundson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sven BaertschiMicheal FerlandKevin ShattenkirkJoel Edmundson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Chaput, Jason Robertson, Andy AndreoffMichael Chaput, Jason RobertsonAndy Andreoff
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Lindgren, Ville Heinola, Vince DunnRyan LindgrenVille Heinola, Vince Dunn
Tirs de Pénalité
Sven Baertschi, Micheal Ferland, , Devin Shore, Tim Schaller
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
1Admirals1010000002-2000000000001010000002-200.0000000081801241213801561238400.00%6183.33%08417647.73%9921246.70%5210151.49%174117156528945
2IceHogs22000000844110000005321100000031241.00081321008180204121380381033399111.11%13284.62%08417647.73%9921246.70%5210151.49%174117156528945
3Rampage21100000440110000003121010000013-220.5004812008180404121380381416511119.09%8187.50%08417647.73%9921246.70%5210151.49%174117156528945
4Sound Tigers1010000024-21010000024-20000000000000.00024610818016412138026624254125.00%12283.33%08417647.73%9921246.70%5210151.49%174117156528945
5Stars1000010034-1000000000001000010034-110.500358008180124121380351120344250.00%10370.00%08417647.73%9921246.70%5210151.49%174117156528945
Total733001001718-132100000108241200100710-370.50017304710818010041213801524710518732515.63%49981.63%08417647.73%9921246.70%5210151.49%174117156528945
_Since Last GM Reset733001001718-132100000108241200100710-370.50017304710818010041213801524710518732515.63%49981.63%08417647.73%9921246.70%5210151.49%174117156528945
_Vs Conference733001001718-132100000108241200100710-370.50017304710818010041213801524710518732515.63%49981.63%08417647.73%9921246.70%5210151.49%174117156528945
_Vs Division63200100151412200000084441200100710-370.583152641008180844121380126418116228414.29%37781.08%08417647.73%9921246.70%5210151.49%174117156528945

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
77OTL11730471001524710518710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73301001718
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000108
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4120100710
Derniers 10 Matchs
WLOTWOTL SOWSOL
330100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
32515.63%49981.63%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
41213808180
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
8417647.73%9921246.70%5210151.49%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
174117156528945


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2020-09-0410Wolves3IceHogs1WSommaire du Match
3 - 2020-09-0521IceHogs3Wolves5WSommaire du Match
4 - 2020-09-0628Wolves1Rampage3LSommaire du Match
6 - 2020-09-0843Rampage1Wolves3WSommaire du Match
7 - 2020-09-0952Wolves0Admirals2LSommaire du Match
8 - 2020-09-1063Sound Tigers4Wolves2LSommaire du Match
9 - 2020-09-1172Wolves3Stars4LXSommaire du Match
11 - 2020-09-1384Stars-Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-1599Admirals-Wolves-
14 - 2020-09-16107Wolves-Sound Tigers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,688,368$ 3,451,785$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 5 0$ 0$




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