Wolves

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 15 | GA: 2 | PP%: 28.57% | PK%: 100.00%
DG: Jean-François Misson | Morale : 55 | Moyenne d'Équipe : 62
Prochain matchs #87 vs Griffins
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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
1Alexander VolkovXX100.006139836276949561635958605963626356620
2Alex Barre-BouletX100.005336926555949564676164546463626356620
3Travis BoydXX100.005336926269757661736658646171674756620
4Sam CarrickX100.006439836375807162696162586372675356620
5Joel L'EsperanceX100.006637896282826861645666596167645256620
6Morgan Geekie (R)X100.006536916082949358645956615861636456620
7Curtis LazarXXX100.008137846275766961726056635867648156610
8Kalle KossilaXX100.005236916067786559695860665771675156600
9Phillip Di GiuseppeXX100.007938875973736258546057565871667251590
10Michael SpacekX100.005237895960949558666054535663627156590
11Kerby RychelX100.006036925980796958545657595869657856590
12Gavin BayreutherX100.005937886476886863306662645869655256640
13Steven KampferX100.006940815972776958305756684679715256630
14Oliver KylingtonX100.005537886571766264306866625863647156620
15Chris WidemanX100.005940876267766361306658565277705356610
16Radim SimekX100.006437935972785458306452644973683746610
17Mitch ReinkeX100.005336925969959658306053544765636256610
18Ashton SautnerX100.006537895976796357305854594669655156600
Rayé
1Connor BrickleyXXXHO7842866175786859536156625873676146610
2Brett PollockXXX100.006536905581908554525651585365636241590
3Nathan WalkerX100.005337875867776958575956585569656146580
4Clark BishopX100.007039825877756457635656595365635746580
5Danny O'ReganX100.005236925966837158635756585469655546580
6Igor Shvyrev (R)X100.006337895677918655625352545361636446580
7Will BittenX100.005236915855928957605655535661636446580
8Manuel WiedererXX100.005637895772837756575455545665636246570
9Tyrell GoulbourneXX100.006439815571777054535554565269656346570
MOYENNE D'ÉQUIPE100.00623788607283755954595759566865605260
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
1Collin Delia100.00808078827978807978807969734749760
2Shane Starrett100.00797876867877797877797869735156750
3Joonas Korpisalo100.00777876807675777675777669736556740
Rayé
MOYENNE D'ÉQUIPE100.0079797783787779787779786973545475
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy73717270827769CAN5345,551,000$


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'ÉquipePOS GP 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
1Alex Barre-BouletWolves (VGK)C4156300410183175.56%311328.490222100003150058.33%6000001.0500000100
2Oliver KylingtonWolves (VGK)D42465004053140.00%57418.6401118000010000.00%000001.6100000012
3Travis BoydWolves (VGK)C/RW4145520110117169.09%29824.570222100000121069.57%9200001.0200000011
4Gavin BayreutherWolves (VGK)D44041206682550.00%29724.29303612000113100.00%000000.8200000011
5Curtis LazarWolves (VGK)C/LW/RW413421009513397.69%16817.2101109000000050.00%200001.1600000010
6Steven KampferWolves (VGK)D41345006330033.33%37418.6410128000010000.00%000001.0700000000
7Ashton SautnerWolves (VGK)D4022100001030.00%2246.240000000001000.00%000001.6000000000
8Kalle KossilaWolves (VGK)C/LW42022002241650.00%0348.710000000000000.00%100001.1500000100
9Alexander VolkovWolves (VGK)LW/RW41122204483712.50%07819.570000110000100163.16%1900000.5100000100
10Chris WidemanWolves (VGK)D4022260411010.00%14010.180000000002000.00%000000.9800000000
11Connor BrickleyWolves (VGK)C/LW/RW40112409510560.00%16716.82011211000000014.29%700000.3000000000
12Sam CarrickWolves (VGK)C4011220447140.00%14310.9500000000070048.15%2700000.4600000000
13Joel L'EsperanceWolves (VGK)C41011001032433.33%1287.0800002000011066.67%1200000.7100000000
14Kerby RychelWolves (VGK)LW41012201393411.11%0369.170000000000100.00%000000.5500000000
15Mitch ReinkeWolves (VGK)D4011200000120.00%14110.290000100000000.00%000000.4900000000
16Morgan GeekieWolves (VGK)C40112205710330.00%04511.3000000000070058.70%4600000.4400000000
17Brett PollockWolves (VGK)C/LW/RW2000-100016310.00%23216.45000240000000100.00%100000.0000000000
18Michael SpacekWolves (VGK)C4000100000100.00%030.890000100000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne70152843393206061117418912.82%25100514.36471117900004934160.67%26700000.8600000344
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
1Shane StarrettWolves (VGK)44000.9740.50240022770000.000040100
Stats d'équipe Total ou en Moyenne44000.9740.50240022770000.000040100


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex Barre-BouletWolves (VGK)C221997-05-21No170 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Alexander VolkovWolves (VGK)LW/RW211997-08-02No192 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Ashton SautnerWolves (VGK)D251994-05-27No195 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Brett PollockWolves (VGK)C/LW/RW231996-03-17No190 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Chris WidemanWolves (VGK)D291990-01-07No183 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Clark BishopWolves (VGK)C231996-03-29No199 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Collin DeliaWolves (VGK)G251994-06-20No208 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Connor BrickleyWolves (VGK)C/LW/RW271992-02-25No203 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Curtis LazarWolves (VGK)C/LW/RW241995-02-02No205 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Danny O'ReganWolves (VGK)C251994-01-30No180 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Gavin BayreutherWolves (VGK)D251994-05-12No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Igor ShvyrevWolves (VGK)C201998-07-10Yes200 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Joel L'EsperanceWolves (VGK)C231995-08-18No210 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Joonas KorpisaloWolves (VGK)G251994-04-28No182 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm990,000$0$0$NoLien
Kalle KossilaWolves (VGK)C/LW261993-04-14No185 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Kerby RychelWolves (VGK)LW241994-10-07No213 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Manuel WiedererWolves (VGK)C/RW221996-11-21No175 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Michael SpacekWolves (VGK)C221997-04-09No187 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Mitch ReinkeWolves (VGK)D231996-02-04No181 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Morgan GeekieWolves (VGK)C201998-07-20Yes192 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Nathan WalkerWolves (VGK)LW251994-02-07No186 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Oliver KylingtonWolves (VGK)D221997-05-19No183 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$NoLien
Phillip Di GiuseppeWolves (VGK)LW/RW251993-10-09No192 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Radim SimekWolves (VGK)D261992-09-20No200 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Sam CarrickWolves (VGK)C271992-02-04No204 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Shane StarrettWolves (VGK)G241994-07-12No181 Lbs6 ft5NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Steven KampferWolves (VGK)D301988-09-24No198 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Travis BoydWolves (VGK)C/RW251993-09-14No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Tyrell GoulbourneWolves (VGK)LW/RW251994-01-26No195 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Will BittenWolves (VGK)RW201998-07-10No167 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3024.10191 Lbs5 ft112.60383,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander VolkovTravis Boyd40122
2Curtis LazarAlex Barre-Boulet30122
3Kalle KossilaSam CarrickTravis Boyd20122
4Kerby RychelMorgan GeekieAlex Barre-Boulet10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gavin Bayreuther40122
2Steven KampferOliver Kylington30122
3Mitch ReinkeChris Wideman20122
4Ashton Sautner10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander VolkovTravis Boyd60122
2Curtis LazarAlex Barre-Boulet40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gavin Bayreuther60122
2Steven KampferOliver Kylington40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Travis BoydAlex Barre-Boulet60122
2Alexander VolkovSam Carrick40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gavin Bayreuther60122
2Steven KampferOliver Kylington40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Travis Boyd60122Gavin Bayreuther60122
2Alex Barre-Boulet40122Steven KampferOliver Kylington40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Travis BoydAlex Barre-Boulet60122
2Alexander VolkovSam Carrick40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gavin Bayreuther60122
2Steven KampferOliver Kylington40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexander VolkovTravis BoydGavin Bayreuther
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexander VolkovTravis BoydGavin Bayreuther
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joel L'Esperance, Michael Spacek, Morgan GeekieJoel L'Esperance, Michael SpacekMorgan Geekie
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mitch Reinke, Chris Wideman, Ashton SautnerMitch ReinkeChris Wideman, Ashton Sautner
Tirs de Pénalité
Travis Boyd, Alex Barre-Boulet, Alexander Volkov, Sam Carrick, Morgan Geekie
Gardien
#1 : Shane Starrett, #2 : Joonas Korpisalo


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
1Admirals11000000211110000002110000000000021.00024600411001835325102110613100.00%30100.00%07411862.71%589958.59%305455.56%1199074244624
2Eagles22000000817000000000002200000081741.000815230141100763532510351020359444.44%80100.00%07411862.71%589958.59%305455.56%1199074244624
3Griffins11000000505110000005050000000000021.00059140141100243532510218612400.00%30100.00%07411862.71%589958.59%305455.56%1199074244624
Total4400000015213220000007162200000081781.000152843024110011835325107728326014428.57%140100.00%07411862.71%589958.59%305455.56%1199074244624
_Since Last GM Reset4400000015213220000007162200000081781.000152843024110011835325107728326014428.57%140100.00%07411862.71%589958.59%305455.56%1199074244624
_Vs Conference4400000015213220000007162200000081781.000152843024110011835325107728326014428.57%140100.00%07411862.71%589958.59%305455.56%1199074244624

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48W41528431187728326002
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4400000152
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000071
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000081
Derniers 10 Matchs
WLOTWOTL SOWSOL
400000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
14428.57%140100.00%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
353251041100
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
7411862.71%589958.59%305455.56%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1199074244624


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
3 - 2019-09-047Wolves3Eagles0WSommaire du Match
4 - 2019-09-0521Wolves5Eagles1WSommaire du Match
11 - 2019-09-1253Griffins0Wolves5WSommaire du Match
12 - 2019-09-1361Admirals1Wolves2WSommaire du Match
18 - 2019-09-1987Wolves-Griffins-
19 - 2019-09-2098Admirals-Wolves-
22 - 2019-09-23102Monsters-Wolves-
24 - 2019-09-25113Wolves-Stars-
26 - 2019-09-27133Wolves-Rampage-
31 - 2019-10-02148Wolves-Moose-
32 - 2019-10-03158Wolves-Moose-
36 - 2019-10-07174Wolves-Admirals-
39 - 2019-10-10200IceHogs-Wolves-
40 - 2019-10-11207Admirals-Wolves-
46 - 2019-10-17246Wild-Wolves-
47 - 2019-10-18251Moose-Wolves-
52 - 2019-10-23272Wolves-IceHogs-
53 - 2019-10-24286Griffins-Wolves-
54 - 2019-10-25294IceHogs-Wolves-
57 - 2019-10-28302Wolves-Griffins-
60 - 2019-10-31328Rampage-Wolves-
61 - 2019-11-01336Stars-Wolves-
64 - 2019-11-04346Wolves-Wild-
66 - 2019-11-06358Wolves-Wild-
67 - 2019-11-07367Wolves-IceHogs-
74 - 2019-11-14411Roadrunners-Wolves-
75 - 2019-11-15419Roadrunners-Wolves-
77 - 2019-11-17422Stars-Wolves-
80 - 2019-11-20443IceHogs-Wolves-
81 - 2019-11-21452Wolves-Admirals-
85 - 2019-11-25469Wolves-Admirals-
87 - 2019-11-27483Wolves-IceHogs-
88 - 2019-11-28495IceHogs-Wolves-
90 - 2019-11-30505Wolves-Wild-
92 - 2019-12-02514Wild-Wolves-
94 - 2019-12-04525Rampage-Wolves-
95 - 2019-12-05540Rampage-Wolves-
101 - 2019-12-11571Wolves-Roadrunners-
102 - 2019-12-12586Wolves-Roadrunners-
106 - 2019-12-16601Griffins-Wolves-
109 - 2019-12-19627IceHogs-Wolves-
110 - 2019-12-20635Admirals-Wolves-
114 - 2019-12-24653Wolves-Monsters-
116 - 2019-12-26675Wolves-Monsters-
122 - 2020-01-01691Wolves-IceHogs-
123 - 2020-01-02707Moose-Wolves-
130 - 2020-01-09734Wolves-Admirals-
131 - 2020-01-10754Wolves-Griffins-
134 - 2020-01-13766Wolves-Moose-
136 - 2020-01-15776Wolves-Moose-
138 - 2020-01-17798Wild-Wolves-
142 - 2020-01-21814Stars-Wolves-
144 - 2020-01-23836Griffins-Wolves-
145 - 2020-01-24844Stars-Wolves-
147 - 2020-01-26847IceHogs-Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29863Wolves-Stars-
151 - 2020-01-30877Wolves-Stars-
154 - 2020-02-02888Wolves-Rampage-
157 - 2020-02-05906Wolves-Admirals-
158 - 2020-02-06918Wild-Wolves-
159 - 2020-02-07928Admirals-Wolves-
164 - 2020-02-12950Monsters-Wolves-
165 - 2020-02-13964Rampage-Wolves-
169 - 2020-02-17981Wolves-IceHogs-
171 - 2020-02-19990Wolves-Stars-
172 - 2020-02-201003Wolves-Rampage-
175 - 2020-02-231016Wolves-Rampage-
178 - 2020-02-261030Wolves-Griffins-
179 - 2020-02-271049Admirals-Wolves-
180 - 2020-02-281056Wolves-IceHogs-
185 - 2020-03-041079Wolves-Admirals-
186 - 2020-03-051095Eagles-Wolves-
187 - 2020-03-061102Eagles-Wolves-
192 - 2020-03-111123Wolves-Wild-
193 - 2020-03-121137Moose-Wolves-
194 - 2020-03-131148Moose-Wolves-



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
379,627$ 109,900$ 33,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 7,648$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 29,180$ 5,281,580$




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
14440000001521322000000716220000008178152843024110011835325107728326014428.57%140100.00%07411862.71%589958.59%305455.56%1199074244624
Total Saison Régulière440000001521322000000716220000008178152843024110011835325107728326014428.57%140100.00%07411862.71%589958.59%305455.56%1199074244624