Wolves

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 21 | GA: 9 | PP%: 20.83% | PK%: 72.73%
DG: Jean-François Misson | Morale : 99 | Moyenne d'Équipe : 59
Prochain matchs #59 vs Rampage
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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
1Jacob de La RoseX100.00865574797974857273656575556061176680
2Jujhar KhairaX100.00605566737975547775677279556059180670
3Zach Aston-Reese (R)X100.00905585767471697350646866556250190660
4Nikolay KuleminXX100.00775581807968646650616167558482152650
5Connor BrickleyXXX100.00655574667367707256656469557071143640
6Daniel O'ReganX100.00675565726360756750606063557375191620
7Kerby RychelX100.00665558727972826250616260555050188620
8Kalle KossilaX100.00685560736568696574616161555050185610
9Peter CehlarikX100.00605564747971696250616160555050191610
10Samy BlaisX100.00655566706063716950616155555050185600
11Travis BoydX100.00605569726762766171616060555050184600
12Alexander Volkov (R)X100.00735578727862695550555555557274186590
13Danick MartelX100.00555572675859705750565760556674138580
14Michael LattaX100.00575557717569695750565755555758162580
15Jason GarrisonX100.00645565789075846525626064557477162680
16Steven KampferX100.00795572726781596725616071557070114660
17Ashton SautnerX100.00655564647573596125616063555353190610
18Ryan GravesX100.00555556605656775625565656555353175560
19Ryan CulkinX100.00555555605555575525555555555353155540
Rayé
1Tyrell GoulbourneX100.00605569646865656050606060555050141580
2Sam CarrickX100.00595559656864695950585959555050177580
3Anton LanderXX100.00835580675859595550555555557867118570
4Clark Bishop (R)X100.00565566617767665550555555557473126570
5Jimmy LodgeX100.00605567666461695550555558555050122560
6Ryan BourqueX100.00605566606259695550555559555050126550
7Andrej NestrasilX100.00555555555555555550555555557272125540
8Brett Pollock (R)X100.00565555555758585550555555557372125540
9Tom KostopoulosX100.00565555555555555550555555557272113540
10Corey TroppX100.00565555555657575550555555557370126540
11Nathan Walker (R)X100.00565559555460685550555555555050129530
12Teemu PulkkinenX100.00565555555555555550555555555555126530
13Manuel Wiederer (R)X100.00565555555555555550555555555050125520
14Michael Spacek (R)X100.00565555555555555550555555555050125520
15Gavin Bayreuther (R)X100.00595555605555575525555555555353126540
MOYENNE D'ÉQUIPE100.0063556466666466604958596055616015259
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
1Joonas Korpisalo100.0073786477847468857176557370134730
2Antoine Bibeau100.0059788281626265636762556062178650
Rayé
MOYENNE D'ÉQUIPE100.006678737973686774696955676615669
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy57655869764966CAN5255,551,000$


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
1Jacob de La RoseWolves (VGK)C445970012141781623.53%49624.190334190000190066.98%10600001.8600000121
2Nikolay KuleminWolves (VGK)LW/RW4347320441011430.00%16817.0222462000001000100.00%100012.0600000101
3Connor BrickleyWolves (VGK)C/LW/RW433630011123425.00%05513.98213620000000075.00%400002.1500000011
4Zach Aston-ReeseWolves (VGK)C4325480791961015.79%26516.2800000000091067.19%6400001.5400000100
5Daniel O'ReganWolves (VGK)C41455201553320.00%1225.6000000000000040.91%2200004.4600000100
6Peter CehlarikWolves (VGK)RW422410042122516.67%26516.310115170000000100.00%200001.2300000000
7Samy BlaisWolves (VGK)LW422440003134915.38%15413.63000000000010100.00%200001.4700000010
8Alexander VolkovWolves (VGK)RW4044420235050.00%15413.720000000000000.00%200001.4600000000
9Jujhar KhairaWolves (VGK)C4134120411157116.67%28421.240114170000171068.66%6700000.9400000000
10Jason GarrisonWolves (VGK)D4123118014520150.00%36015.080000200000000.00%000000.9900000000
11Kerby RychelWolves (VGK)LW41231606584812.50%06516.3010151700000100.00%300000.9200000000
12Ashton SautnerWolves (VGK)D4011520410110.00%0287.210000000000000.00%000000.6900000000
13Kalle KossilaWolves (VGK)C4011100104230.00%061.57000120000000100.00%500003.1800000000
14Travis BoydWolves (VGK)C4000000010000.00%010.42000000000000100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne56213556404206064122419017.21%1773013.045813311180000584065.59%27900011.5300000443
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
1Antoine BibeauWolves (VGK)44000.9032.25240009930200.000044000
Stats d'équipe Total ou en Moyenne44000.9032.25240009930200.000044000


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
Alexander VolkovWolves (VGK)RW191997-08-02Yes192 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Andrej NestrasilWolves (VGK)C251991-02-21No200 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Antoine BibeauWolves (VGK)G221994-04-30No207 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Anton LanderWolves (VGK)C/LW251991-04-23No186 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Ashton SautnerWolves (VGK)D221994-05-27No194 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Brett PollockWolves (VGK)C201996-03-17Yes194 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Clark BishopWolves (VGK)C201996-03-28Yes194 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Connor BrickleyWolves (VGK)C/LW/RW241992-02-25No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Corey TroppWolves (VGK)RW271989-07-25No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Danick MartelWolves (VGK)C221994-12-12No161 Lbs5 ft8NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Daniel O'ReganWolves (VGK)C221994-01-30No175 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Gavin BayreutherWolves (VGK)D221994-05-12Yes194 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Jacob de La RoseWolves (VGK)C211995-05-20No207 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$No
Jason GarrisonWolves (VGK)D321984-11-13No222 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Jimmy LodgeWolves (VGK)C211995-03-05No166 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm805,000$0$0$No
Joonas KorpisaloWolves (VGK)G221994-04-28No185 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm990,000$0$0$No
Jujhar KhairaWolves (VGK)C221994-08-13No214 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Kalle KossilaWolves (VGK)C231993-04-14No175 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Kerby RychelWolves (VGK)LW221994-10-07No205 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Manuel WiedererWolves (VGK)C201996-11-21Yes174 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Michael LattaWolves (VGK)C251991-05-24No209 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Michael SpacekWolves (VGK)C191997-04-09Yes187 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Nathan WalkerWolves (VGK)LW221994-02-06Yes186 Lbs5 ft8NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Nikolay KuleminWolves (VGK)LW/RW301986-07-13No225 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$0$0$No
Peter CehlarikWolves (VGK)RW211995-08-02No202 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Ryan BourqueWolves (VGK)LW261991-01-02No170 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Ryan CulkinWolves (VGK)D231993-12-14No201 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan GravesWolves (VGK)D211995-05-21No220 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm865,000$0$0$No
Sam CarrickWolves (VGK)C241992-02-03No188 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Samy BlaisWolves (VGK)LW201996-06-16No164 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Steven KampferWolves (VGK)D281988-09-23No192 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Teemu PulkkinenWolves (VGK)LW251992-01-01No183 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Tom KostopoulosWolves (VGK)RW371979-01-23No197 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Travis BoydWolves (VGK)C231993-09-14No185 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Tyrell GoulbourneWolves (VGK)LW221994-01-26No195 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Zach Aston-ReeseWolves (VGK)C221994-08-10Yes205 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3623.36192 Lbs6 ft02.31526,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay KuleminJacob de La RoseConnor Brickley40122
2Kerby RychelJujhar KhairaPeter Cehlarik30122
3Samy BlaisZach Aston-ReeseAlexander Volkov20122
4Daniel O'ReganJacob de La Rose10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Jason Garrison30122
3Ashton Sautner20122
4Jason Garrison10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay KuleminJacob de La RoseConnor Brickley60122
2Kerby RychelJujhar KhairaPeter Cehlarik40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jason Garrison40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de La RoseJujhar Khaira60122
2Zach Aston-ReeseNikolay Kulemin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jason Garrison40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jacob de La Rose6012260122
2Jujhar Khaira40122Jason Garrison40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de La RoseJujhar Khaira60122
2Zach Aston-ReeseNikolay Kulemin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jason Garrison40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay KuleminJacob de La RoseConnor Brickley
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay KuleminJacob de La RoseConnor Brickley
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kalle Kossila, Travis Boyd, Kalle Kossila, Travis Boyd
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ashton Sautner, , Ashton Sautner,
Tirs de Pénalité
Jacob de La Rose, Jujhar Khaira, Zach Aston-Reese, Nikolay Kulemin, Connor Brickley
Gardien
#1 : , #2 : Antoine Bibeau


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
Total44000000219122200000012572200000094581.000213556001065012742463909324487424520.83%22672.73%07811468.42%6711060.91%426663.64%1098388244221
2Wild44000000219122200000012572200000094581.000213556001065012742463909324487424520.83%22672.73%07811468.42%6711060.91%426663.64%1098388244221
_Since Last GM Reset44000000219122200000012572200000094581.000213556001065012742463909324487424520.83%22672.73%07811468.42%6711060.91%426663.64%1098388244221
_Vs Conference44000000219122200000012572200000094581.000213556001065012742463909324487424520.83%22672.73%07811468.42%6711060.91%426663.64%1098388244221

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48W42135561279324487400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4400000219
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000125
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000094
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
24520.83%22672.73%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
424639010650
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
7811468.42%6711060.91%426663.64%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1098388244221


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 - 2019-04-075Wild2Wolves8WSommaire du Match
4 - 2019-04-0913Wild3Wolves4WSommaire du Match
6 - 2019-04-1121Wolves5Wild2WSommaire du Match
8 - 2019-04-1329Wolves4Wild2WSommaire du Match
16 - 2019-04-2159Rampage-Wolves-
18 - 2019-04-2363Rampage-Wolves-
20 - 2019-04-2567Wolves-Rampage-
22 - 2019-04-2771Wolves-Rampage-
24 - 2019-04-2975Rampage-Wolves-
26 - 2019-05-0179Wolves-Rampage-
28 - 2019-05-0383Rampage-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
0$ 189,600$ 122,125$ 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$ 13 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
134400000021912220000001257220000009458213556001065012742463909324487424520.83%22672.73%07811468.42%6711060.91%426663.64%1098388244221
Total Séries4400000021912220000001257220000009458213556001065012742463909324487424520.83%22672.73%07811468.42%6711060.91%426663.64%1098388244221