Wolves

GP: 25 | W: 18 | L: 5 | OTL: 2 | P: 38
GF: 101 | GA: 48 | PP%: 24.60% | PK%: 91.18%
DG: Jean-François Misson | Morale : 64 | Moyenne d'Équipe : 63
Prochain matchs #411 vs Roadrunners
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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
1Derek GrantX100.00795587748680727791707477557678173720
2Scott LaughtonX100.00915573758172857788667077557374170710
3Tim SchallerX100.00915565757877767371667281556060173700
4Phillip Di GiuseppeXX100.00795578817571697350676467556562148660
5Zach Aston-Reese (R)X100.00905585767471697350646866556250170660
6Beau BennettX100.00835578827770786550606060557776174650
7Daniel O'ReganX100.00675565726360756750606063557375173620
8Tyrell GoulbourneX100.00605569646865656050606060555050143580
9Michael LattaX100.00575557717569695750565755555758168580
10Sam CarrickX100.00595559656864695950585959555050168580
11Clark Bishop (R)X100.00565566617767665550555555557473130570
12Jimmy LodgeX100.00605567666461695550555558555050121560
13Ryan BourqueX100.00605566606259695550555559555050132550
14Corey TroppX100.00565555555657575550555555557370132540
15Anthony DeAngeloX100.00765585905880798025676072557575149710
16Ashton SautnerX100.00655564647573596125616063555353169610
Rayé
1Jujhar KhairaX72.49605566737975547775677279556059152670
2Brett Pollock (R)X100.00565555555758585550555555557372141550
3Andrej NestrasilX100.00555555555555555550555555557272125540
4Tom KostopoulosX100.00565555555555555550555555557272120540
5Teemu PulkkinenX100.00565555555555555550555555555555127530
6Michael Spacek (R)X100.00565555555555555550555555555050122520
MOYENNE D'ÉQUIPE98.7367556667686666635360616355646314961
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
1Philipp Grubauer100.0084878789899087898689558078170840
2Curtis McElhinney100.0085697190909081788076558079153790
Rayé
1Kristers Gudlevskis100.0060788379646463666862555969130650
MOYENNE D'ÉQUIPE100.007678808681817778787655737515176
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Cameron46656367754852CAN5922,555,500$


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
1Derek GrantWolves (VGK)C21172643221203362105308016.19%953425.46961524830116781075.66%49300011.6103000351
2Tim SchallerWolves (VGK)LW21172542293007546105249016.19%1051124.34561127821013546171.43%5600011.6400000621
3Scott LaughtonWolves (VGK)C2116173319280497096317416.67%950924.2826816700006661075.06%44100001.2923000233
4Brandon ManningVegas Golden KnightsD17420242033558244814288.33%1544926.432573168011051110.00%000001.0700001212
5Zach Aston-ReeseWolves (VGK)C218152320220342151182915.69%730814.712571233000003160.00%12000001.4900000112
6Beau BennettWolves (VGK)RW21418221621534394517258.89%439018.5728101180000000046.15%2600001.1300001103
7Anthony DeAngeloWolves (VGK)D2171017-2355603866234610.61%3350323.986612491150001102100.00%000100.6800100030
8Jujhar KhairaWolves (VGK)C1376134100201433101421.21%826420.364371944000013068.18%4400000.9800000021
9Daniel O'ReganWolves (VGK)C2166127120102231132519.35%427413.062245290001231059.81%10700000.8700000100
10Ashton SautnerWolves (VGK)D19099161002010229110.00%1247124.820221275000055000.00%000000.3800000001
11Sam CarrickWolves (VGK)C21437420562351417.39%121810.381127210110340061.54%5200000.6400000001
12Curtis LazarVegas Golden KnightsC/LW/RW7167414086235194.35%110715.36044118000020081.82%1100001.3000000001
13Phillip Di GiuseppeWolves (VGK)LW/RW1714536021253319393.03%122713.360114320110190052.00%2500000.4400000100
14Brett PollockWolves (VGK)C112352601030124716.67%324021.860222410000560048.32%29800000.4201000010
15Pontus AbergVegas Golden KnightsLW123143404122541412.00%213211.02000010000050066.67%900000.6000000000
16Michael LattaWolves (VGK)C21123-12081183712.50%52069.850222220001390054.24%5900100.2900000001
17Matt MoulsonVegas Golden KnightsLW/RW3213400181611212.50%17324.540004130000010100.00%500000.8200000010
18Ryan CulkinVegas Golden KnightsD161231410020460216.67%636722.94000053101146000.00%000000.1600000100
19Tyrell GoulbourneWolves (VGK)LW121122551551620.00%0393.30000000000000100.00%300001.0100100000
Stats d'équipe Total ou en Moyenne3161021752771862622047145375323154213.55%131583018.453559942268972461963918366.67%174900220.9527202181917
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
1Philipp GrubauerWolves (VGK)2118120.9331.18127425253730000.6679210021
2Kristers GudlevskisWolves (VGK)64200.9141.9736521121390101.000369101
Stats d'équipe Total ou en Moyenne2722320.9281.35163946375120100.75012279122


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrej NestrasilWolves (VGK)C251991-02-21No200 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Anthony DeAngeloWolves (VGK)D211995-10-24No175 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$
Ashton SautnerWolves (VGK)D221994-05-27No194 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Beau BennettWolves (VGK)RW251991-11-26No195 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Brett PollockWolves (VGK)C201996-03-17Yes194 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Clark BishopWolves (VGK)C201996-03-28Yes194 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Corey TroppWolves (VGK)RW271989-07-25No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Curtis McElhinneyWolves (VGK)G331983-05-23No205 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Daniel O'ReganWolves (VGK)C221994-01-30No175 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Derek GrantWolves (VGK)C261990-04-20No206 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jimmy LodgeWolves (VGK)C211995-03-05No166 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm805,000$0$0$No
Jujhar Khaira (Sur la Masse Salariale)Wolves (VGK)C221994-08-13No214 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$Yes
Kristers GudlevskisWolves (VGK)G241992-07-31No190 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$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$0$No300,000$300,000$300,000$
Philipp GrubauerWolves (VGK)G251991-11-24No184 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm3,000,000$0$0$No3,000,000$
Phillip Di GiuseppeWolves (VGK)LW/RW231993-10-09No200 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Ryan BourqueWolves (VGK)LW261991-01-02No170 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Sam CarrickWolves (VGK)C241992-02-03No188 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Scott LaughtonWolves (VGK)C221994-05-29No177 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$No
Teemu PulkkinenWolves (VGK)LW251992-01-01No183 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Tim SchallerWolves (VGK)LW261990-11-15No206 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Tom KostopoulosWolves (VGK)RW371979-01-23No197 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Tyrell GoulbourneWolves (VGK)LW221994-01-26No195 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Zach Aston-ReeseWolves (VGK)C221994-08-10Yes205 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2524.16192 Lbs6 ft12.20604,200$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tim SchallerDerek Grant40122
2Scott LaughtonBeau Bennett30122
3Derek GrantScott Laughton20122
4Tim SchallerZach Aston-Reese10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ashton Sautner40122
2Zach Aston-Reese30122
3Ashton Sautner20122
4Beau Bennett10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tim SchallerDerek Grant60122
2Scott LaughtonBeau Bennett40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ashton Sautner60122
2Zach Aston-Reese40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Derek GrantScott Laughton60122
2Tim Schaller40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ashton Sautner60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Derek Grant60122Ashton Sautner60122
2Scott Laughton4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Derek GrantScott Laughton60122
2Tim Schaller40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ashton Sautner60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tim SchallerDerek GrantAshton Sautner
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tim SchallerDerek GrantAshton Sautner
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel O'Regan, Sam Carrick, Michael LattaDaniel O'Regan, Sam CarrickMichael Latta
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Ashton Sautner, Ashton Sautner,
Tirs de Pénalité
Derek Grant, Scott Laughton, Tim Schaller, ,
Gardien
#1 : Philipp Grubauer, #2 : Curtis McElhinney


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
1Admirals41100002811-330100002511-61100000030340.5008152301343432299244265238228627346022418.18%10280.00%150176765.32%41170458.38%22237259.68%668499560164285147
2Eagles20200000011-110000000000020200000011-1100.000000003434322292442652382293301921800.00%60100.00%050176765.32%41170458.38%22237259.68%668499560164285147
3Griffins431000002271521100000954220000001321160.7502239610134343221212442652382210323366721942.86%16193.75%050176765.32%41170458.38%22237259.68%668499560164285147
4IceHogs4400000016313220000007252200000091881.000162541023434322133244265238226716547520315.00%24291.67%050176765.32%41170458.38%22237259.68%668499560164285147
5Monsters1010000012-11010000012-10000000000000.0001230034343221924426523822174620400.00%30100.00%050176765.32%41170458.38%22237259.68%668499560164285147
6Moose330000002222011000000716220000001511461.000223961013434322138244265238225714256216425.00%10190.00%050176765.32%41170458.38%22237259.68%668499560164285147
7Rampage22000000532110000003211100000021141.000591400343432255244265238224311314111218.18%13192.31%150176765.32%41170458.38%22237259.68%668499560164285147
8Stars21000010936110000007251000001021141.0009132200343432278244265238223012243410330.00%8187.50%050176765.32%41170458.38%22237259.68%668499560164285147
Total251750001210148531273000024226161310200010592237380.760101175276053434322760244265238225621582594431263124.60%102991.18%250176765.32%41170458.38%22237259.68%668499560164285147
10Wild330000001861211000000312220000001551061.00018335100343432288244265238226621306314642.86%12191.67%050176765.32%41170458.38%22237259.68%668499560164285147
_Since Last GM Reset251750001210148531273000024226161310200010592237380.760101175276053434322760244265238225621582594431263124.60%102991.18%250176765.32%41170458.38%22237259.68%668499560164285147
_Vs Conference2114400012784434106200002342311118200010442123320.76278134212043434322603244265238224881402283611062725.47%89891.01%250176765.32%41170458.38%22237259.68%668499560164285147

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2538W1110117527676056215825944305
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
25175001210148
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
127300024226
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1310200105922
Derniers 10 Matchs
WLOTWOTL SOWSOL
1000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1263124.60%102991.18%2
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
244265238223434322
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
50176765.32%41170458.38%22237259.68%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
668499560164285147


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.
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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 - 2018-09-077Wolves0Eagles6LSommaire du Match
4 - 2018-09-0821Wolves0Eagles5LSommaire du Match
11 - 2018-09-1553Griffins4Wolves2LSommaire du Match
12 - 2018-09-1661Admirals6Wolves2LSommaire du Match
18 - 2018-09-2287Wolves7Griffins2WSommaire du Match
19 - 2018-09-2398Admirals2Wolves1LXXSommaire du Match
22 - 2018-09-26102Monsters2Wolves1LSommaire du Match
24 - 2018-09-28113Wolves2Stars1WXXSommaire du Match
26 - 2018-09-30133Wolves2Rampage1WSommaire du Match
31 - 2018-10-05148Wolves8Moose1WSommaire du Match
32 - 2018-10-06158Wolves7Moose0WSommaire du Match
36 - 2018-10-10174Wolves3Admirals0WSommaire du Match
39 - 2018-10-13200IceHogs2Wolves5WSommaire du Match
40 - 2018-10-14207Admirals3Wolves2LXXSommaire du Match
46 - 2018-10-20246Wild1Wolves3WSommaire du Match
47 - 2018-10-21251Moose1Wolves7WSommaire du Match
52 - 2018-10-26272Wolves4IceHogs1WSommaire du Match
53 - 2018-10-27286Griffins1Wolves7WSommaire du Match
54 - 2018-10-28294IceHogs0Wolves2WSommaire du Match
57 - 2018-10-31302Wolves6Griffins0WSommaire du Match
60 - 2018-11-03328Rampage2Wolves3WSommaire du Match
61 - 2018-11-04336Stars2Wolves7WSommaire du Match
64 - 2018-11-07346Wolves8Wild1WSommaire du Match
66 - 2018-11-09358Wolves7Wild4WSommaire du Match
67 - 2018-11-10367Wolves5IceHogs0WSommaire du Match
74 - 2018-11-17411Roadrunners-Wolves-
75 - 2018-11-18419Roadrunners-Wolves-
77 - 2018-11-20422Stars-Wolves-
80 - 2018-11-23443IceHogs-Wolves-
81 - 2018-11-24452Wolves-Admirals-
85 - 2018-11-28469Wolves-Admirals-
87 - 2018-11-30483Wolves-IceHogs-
88 - 2018-12-01495IceHogs-Wolves-
90 - 2018-12-03505Wolves-Wild-
92 - 2018-12-05514Wild-Wolves-
94 - 2018-12-07525Rampage-Wolves-
95 - 2018-12-08540Rampage-Wolves-
101 - 2018-12-14571Wolves-Roadrunners-
102 - 2018-12-15586Wolves-Roadrunners-
106 - 2018-12-19601Griffins-Wolves-
109 - 2018-12-22627IceHogs-Wolves-
110 - 2018-12-23635Admirals-Wolves-
114 - 2018-12-27653Wolves-Monsters-
116 - 2018-12-29675Wolves-Monsters-
122 - 2019-01-04691Wolves-IceHogs-
123 - 2019-01-05707Moose-Wolves-
130 - 2019-01-12734Wolves-Admirals-
131 - 2019-01-13754Wolves-Griffins-
134 - 2019-01-16766Wolves-Moose-
136 - 2019-01-18776Wolves-Moose-
138 - 2019-01-20798Wild-Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-24814Stars-Wolves-
144 - 2019-01-26836Griffins-Wolves-
145 - 2019-01-27844Stars-Wolves-
147 - 2019-01-29847IceHogs-Wolves-
150 - 2019-02-01863Wolves-Stars-
151 - 2019-02-02877Wolves-Stars-
154 - 2019-02-05888Wolves-Rampage-
157 - 2019-02-08906Wolves-Admirals-
158 - 2019-02-09918Wild-Wolves-
159 - 2019-02-10928Admirals-Wolves-
164 - 2019-02-15950Monsters-Wolves-
165 - 2019-02-16964Rampage-Wolves-
169 - 2019-02-20981Wolves-IceHogs-
171 - 2019-02-22990Wolves-Stars-
172 - 2019-02-231003Wolves-Rampage-
175 - 2019-02-261016Wolves-Rampage-
178 - 2019-03-011030Wolves-Griffins-
179 - 2019-03-021049Admirals-Wolves-
180 - 2019-03-031056Wolves-IceHogs-
185 - 2019-03-081079Wolves-Admirals-
186 - 2019-03-091095Eagles-Wolves-
187 - 2019-03-101102Eagles-Wolves-
192 - 2019-03-151123Wolves-Wild-
193 - 2019-03-161137Moose-Wolves-
194 - 2019-03-171148Moose-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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,013,315$ 148,050$ 62,800$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 64,816$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 122 13,936$ 1,700,192$




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
1325175000121014853127300002422616131020001059223738101175276053434322760244265238225621582594431263124.60%102991.18%250176765.32%41170458.38%22237259.68%668499560164285147
Total Saison Régulière25175000121014853127300002422616131020001059223738101175276053434322760244265238225621582594431263124.60%102991.18%250176765.32%41170458.38%22237259.68%668499560164285147