Wolves

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jean-François Misson | Morale : 50 | Moyenne d'Équipe : 60
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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
1Jujhar KhairaX100.00605566737975547775677279556059178670
2Zach Aston-ReeseX100.00905585767471697350646866556250183660
3Nikolay KuleminXX100.00775581807968646650616167558482153650
4Connor BrickleyXXX100.00655574667367707256656469557071145640
5Daniel O'ReganX100.00675565726360756750606063557375182620
6Kerby RychelX100.00665558727972826250616260555050181620
7Kalle KossilaX100.00685560736568696574616161555050182610
8Peter CehlarikX100.00605564747971696250616160555050176610
9Samy BlaisX100.00655566706063716950616155555050184600
10Travis BoydX100.00605569726762766171616060555050182600
11Alexander VolkovX100.00735578727862695550555555557274183590
12Danick MartelX100.00555572675859705750565760556674142580
13Jason GarrisonX100.00645565789075846525626064557477167680
14Steven KampferX100.00795572726781596725616071557070118660
15Ashton SautnerX100.00655564647573596125616063555353183610
16Ryan GravesX100.00555556605656775625565656555353179560
Rayé
1Tyrell GoulbourneX100.00605569646865656050606060555050136580
2Sam CarrickX100.00595559656864695950585959555050172580
3Anton LanderXX100.00835580675859595550555555557867120570
4Clark BishopX100.00565566617767665550555555557473121570
5Jimmy LodgeX100.00605567666461695550555558555050121560
6Andrej NestrasilX100.00555555555555555550555555557272120540
7Brett PollockX100.00565555555758585550555555557372120540
8Tom KostopoulosX100.00565555555555555550555555557272120540
9Nathan WalkerX100.00565559555460685550555555555050124530
10Teemu PulkkinenX100.00565555555555555550555555555555121530
11Manuel WiedererX100.00565555555555555550555555555050120520
12Michael SpacekX100.00565555555555555550555555555050121520
13Gavin BayreutherX100.00595555605555575525555555555353121540
MOYENNE D'ÉQUIPE100.0063556566666466614858596055616015059
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 Korpisalo100.0073786477847468857176557370138730
2Antoine Bibeau100.0059788281626265636762556062176650
Rayé
MOYENNE D'ÉQUIPE100.006678737973686774696955676615769
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy57655869764966CAN5345,551,000$


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
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


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)RW191997-08-02No192 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Andrej NestrasilWolves (VGK)C251991-02-21No200 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Antoine BibeauWolves (VGK)G221994-04-30No207 Lbs6 ft3NoNoNo0Contrat d'EntréePro & Farm0$0$No
Anton LanderWolves (VGK)C/LW251991-04-23No186 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ashton SautnerWolves (VGK)D221994-05-27No194 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Brett PollockWolves (VGK)C201996-03-17No194 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Clark BishopWolves (VGK)C201996-03-28No194 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Connor BrickleyWolves (VGK)C/LW/RW241992-02-25No190 Lbs6 ft0NoNoNo0Avec RestrictionPro & Farm0$0$No
Danick MartelWolves (VGK)C221994-12-12No161 Lbs5 ft8NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Daniel O'ReganWolves (VGK)C221994-01-30No175 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Gavin BayreutherWolves (VGK)D221994-05-12No194 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Jason GarrisonWolves (VGK)D321984-11-13No222 Lbs6 ft3NoNoNo0Sans RestrictionPro & Farm0$0$No
Jimmy LodgeWolves (VGK)C211995-03-05No166 Lbs6 ft1NoNoNo0Contrat d'EntréePro & Farm0$0$No
Joonas KorpisaloWolves (VGK)G221994-04-28No185 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm990,000$0$0$No
Jujhar KhairaWolves (VGK)C221994-08-13No214 Lbs6 ft3NoNoNo0Contrat d'EntréePro & Farm0$0$No
Kalle KossilaWolves (VGK)C231993-04-14No175 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Kerby RychelWolves (VGK)LW221994-10-07No205 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Manuel WiedererWolves (VGK)C201996-11-21No174 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Michael SpacekWolves (VGK)C191997-04-09No187 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Nathan WalkerWolves (VGK)LW221994-02-06No186 Lbs5 ft8NoNoNo0Contrat d'EntréePro & Farm0$0$No
Nikolay KuleminWolves (VGK)LW/RW301986-07-13No225 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Peter CehlarikWolves (VGK)RW211995-08-02No202 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Ryan GravesWolves (VGK)D211995-05-21No220 Lbs6 ft4NoNoNo0Contrat d'EntréePro & Farm0$0$No
Sam CarrickWolves (VGK)C241992-02-03No188 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Samy BlaisWolves (VGK)LW201996-06-16No164 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Steven KampferWolves (VGK)D281988-09-23No192 Lbs5 ft11NoNoNo0Sans RestrictionPro & Farm0$0$No
Teemu PulkkinenWolves (VGK)LW251992-01-01No183 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Tom KostopoulosWolves (VGK)RW371979-01-23No197 Lbs6 ft0NoNoNo0Sans RestrictionPro & Farm0$0$No
Travis BoydWolves (VGK)C231993-09-14No185 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Tyrell GoulbourneWolves (VGK)LW221994-01-26No195 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Zach Aston-ReeseWolves (VGK)C221994-08-10No205 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.19192 Lbs6 ft01.35338,387$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay KuleminConnor Brickley40122
2Kerby RychelJujhar KhairaPeter Cehlarik30122
3Samy BlaisZach Aston-ReeseAlexander Volkov20122
4Daniel O'Regan10122
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 KuleminConnor Brickley60122
2Kerby RychelJujhar KhairaPeter Cehlarik40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jason Garrison40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jujhar 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
16012260122
2Jujhar Khaira40122Jason Garrison40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jujhar Khaira60122
2Zach Aston-ReeseNikolay Kulemin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jason Garrison40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay KuleminConnor Brickley
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay KuleminConnor 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
, 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 104,900$ 50,425$ 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$ 0 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
Séries
131912700000584513107300000352114954000002324-1245896154012517151504173154164134421303273351371813.14%1241885.48%034160656.27%29556152.58%15327855.04%471338478142221105
Total Séries1912700000584513107300000352114954000002324-1245896154012517151504173154164134421303273351371813.14%1241885.48%034160656.27%29556152.58%15327855.04%471338478142221105