Wolves
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Michael Lévesque | Morale : 50 | Moyenne d'Équipe : N/A
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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 SPÂgeContratSalaire
1Andy AndreoffXX100.00794495707452815446575561256364615000292677,500$
2Austin PoganskiX100.00807590657573776050595766544444643300242762,500$
3Michael ChaputXX100.007875867375747863795564706160606650002821,000,000$
4Sam GagnerXX100.006542907672657867486366576179806636003023,150,000$
5Tim SchallerXX100.00754491787859705636525991256263664200292775,000$
6Trent Frederic (R)X100.006475376575788359746053585045455850002231,137,500$
7Yannick Veilleux (R)X100.00767677617659586450566865654444655000271833,333$
8Barrett Hayton (R) (A)XX100.006942808471585461496257522545456141002032,644,167$
9David Gustafsson (R)X100.00594199807145575164505769254646605000203925,000$
10Jason Robertson (R)X100.00777386747377806550596766644444694600203894,167$
11Laurent DauphinXXX100.007168796468727660755660625747476350002511,000,000$
12Jakub Lauko (R)XX100.00666470606455555670485958564444585000203894,167$
13Jonas SiegenthalerX100.007154816882677956254948912558596350002331,758,333$
14Noah JuulsenX100.007467905367474748254139603745455050002321,063,333$
15Andrew Peeke (R)X100.007644937674636357254848632546465850002231,491,667$
16Travis Sanheim (C)X100.006742868070809367255953802560616746002411,263,333$
17Vince Dunn (A)X100.00695388857369927225545458256061635000231894,167$
Rayé
1Brett RitchieX100.009870787781566462366258552565666350002611,750,000$
2Boris Katchouk (R)X100.00757184617180856050565964564444635000223894,166$
3Dylan GambrellX100.007155896272617963726159732550516550002321,137,000$
4Glenn Gawdin (R)X100.00757184647174766680676165584444655000233925,000$
5Mackenzie MacEachern (R)X100.00815681627252746331566667255555665000263750,000$
6Sven BaertschiX100.007469868469615971507461715864656811002711,638,750$
7Joona Luoto (R)XX100.006742957370466452255055722545456050002211,012,500$
8MacKenzie Entwistle (R)X100.00737080637070745850545862554444615000203894,167$
9Jake Walman (R)X100.00706583716574795525474861464848585000243925,000$
10Niko Mikkola (R)X100.00757185687173794925434061384444545000263925,000$
11Jordan SchmaltzX100.00757282687263675125454163394949545000261700,000$
MOYENNE D'ÉQUIPE100.0073608470726472604655566641525262470
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Casey DeSmith100.0057688566556151605655304848585000
2Ville Husso (R)100.0059648081596456646261304444614600
Rayé
MOYENNE D'ÉQUIPE100.005866837457635462595830464660480
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy73717270827769CAN5631,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andrew PeekeWolves (STL)D221998-03-17Yes198 Lbs6 ft3NoNoNo3Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$1,491,667$
Andy AndreoffWolves (STL)C/LW291991-05-17No203 Lbs6 ft1NoNoNo2Pro & Farm677,500$677,500$0$0$No677,500$Lien
Austin PoganskiWolves (STL)RW241996-02-16No201 Lbs6 ft2NoNoNo2Pro & Farm762,500$450,000$0$0$No762,500$Lien
Barrett HaytonWolves (STL)C/LW202000-06-08Yes190 Lbs6 ft1NoNoNo3Pro & Farm2,644,167$2,644,167$0$0$No2,644,167$2,644,167$
Boris KatchoukWolves (STL)LW221998-06-18Yes192 Lbs6 ft1NoNoNo3Pro & Farm894,166$894,166$0$0$No894,166$894,166$
Brett RitchieWolves (STL)RW261993-07-01No217 Lbs6 ft3NoNoNo1Pro & Farm1,750,000$1,750,000$0$0$NoLien
Casey DeSmithWolves (STL)G281991-08-12No181 Lbs6 ft0NoNoNo2Pro & Farm675,000$675,000$0$0$No675,000$Lien
David GustafssonWolves (STL)C202000-04-11Yes194 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Dylan GambrellWolves (STL)C231996-08-26No195 Lbs6 ft0NoNoNo2Pro & Farm1,137,000$1,137,000$0$0$No1,137,000$Lien
Glenn GawdinWolves (STL)C231997-03-25Yes191 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Jake WalmanWolves (STL)D241996-02-19Yes170 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Jakub LaukoWolves (STL)C/LW202000-03-28Yes170 Lbs6 ft0NoNoNo3Pro & Farm894,167$894,167$0$0$No894,167$894,167$
Jason RobertsonWolves (STL)LW201999-07-21Yes195 Lbs6 ft2NoNoNo3Pro & Farm894,167$894,167$0$0$No894,167$894,167$
Jonas SiegenthalerWolves (STL)D231997-05-06No220 Lbs6 ft3NoNoNo3Pro & Farm1,758,333$883,333$0$0$No883,333$883,333$Lien
Joona LuotoWolves (STL)LW/RW221997-09-26Yes185 Lbs6 ft2NoNoNo1Pro & Farm1,012,500$1,000,000$0$0$NoLien
Jordan SchmaltzWolves (STL)D261993-10-08No190 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Laurent DauphinWolves (STL)C/LW/RW251995-03-27No180 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
MacKenzie EntwistleWolves (STL)RW201999-07-13Yes184 Lbs6 ft3NoNoNo3Pro & Farm894,167$894,167$0$0$No894,167$894,167$
Mackenzie MacEachernWolves (STL)LW261994-03-08Yes190 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$
Michael ChaputWolves (STL)C/LW281992-04-08No204 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien
Niko MikkolaWolves (STL)D261994-04-26Yes184 Lbs6 ft4NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Noah JuulsenWolves (STL)D231997-04-02No175 Lbs6 ft2NoNoNo2Pro & Farm1,063,333$1,063,333$0$0$No1,063,333$Lien
Sam GagnerWolves (STL)C/RW301989-08-09No200 Lbs5 ft11NoNoNo2Pro & Farm3,150,000$3,150,000$0$0$No3,150,000$Lien
Sven BaertschiWolves (STL)LW271992-10-05No190 Lbs5 ft11NoNoNo1Pro & Farm1,638,750$1,000,000$0$0$NoLien
Tim SchallerWolves (STL)LW/RW291990-11-16No210 Lbs6 ft2NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Travis SanheimWolves (STL)D241996-03-28No181 Lbs6 ft3NoNoNo1Pro & Farm1,263,333$1,263,333$0$0$NoLien
Trent FredericWolves (STL)C221998-02-11Yes203 Lbs6 ft2NoNoNo3Pro & Farm1,137,500$1,137,500$0$0$No1,137,500$1,137,500$
Ville HussoWolves (STL)G251995-02-05Yes205 Lbs6 ft3NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$
Vince DunnWolves (STL)D231996-10-28No203 Lbs6 ft0NoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Yannick VeilleuxWolves (STL)LW271993-02-22Yes206 Lbs6 ft2NoNoNo1Pro & Farm833,333$450,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3024.23194 Lbs6 ft22.201,136,358$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tim SchallerSam GagnerAustin Poganski35122
2Jason RobertsonMichael ChaputLaurent Dauphin30122
3Barrett HaytonAndy AndreoffYannick Veilleux25122
4Yannick VeilleuxDavid GustafssonSam Gagner10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimVince Dunn35122
2Jonas Siegenthaler30122
3Andrew PeekeNoah Juulsen25122
4Travis SanheimVince Dunn10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tim SchallerSam GagnerAustin Poganski60122
2Jason RobertsonMichael ChaputLaurent Dauphin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimVince Dunn60122
2Jonas Siegenthaler40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sam GagnerTim Schaller60122
2Jason RobertsonMichael Chaput40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimVince Dunn60122
2Jonas Siegenthaler40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sam Gagner60122Travis SanheimVince Dunn60122
2Tim Schaller40122Jonas Siegenthaler40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sam GagnerTim Schaller60122
2Jason RobertsonMichael Chaput40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimVince Dunn60122
2Jonas Siegenthaler40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tim SchallerSam GagnerAustin PoganskiTravis SanheimVince Dunn
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tim SchallerSam GagnerAustin PoganskiTravis SanheimVince Dunn
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trent Frederic, Jakub Lauko, Andy AndreoffTrent Frederic, Jakub LaukoAndy Andreoff
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew Peeke, Noah Juulsen, Jonas SiegenthalerAndrew PeekeNoah Juulsen, Jonas Siegenthaler
Tirs de Pénalité
Sam Gagner, Tim Schaller, Jason Robertson, Michael Chaput, Andy Andreoff
Gardien
#1 : Ville Husso, #2 : Casey DeSmith


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
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
Capacité20001000
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 JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,409,076$ 3,186,868$ 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
Saison Régulière
2020822735013610177205-2841141501254999634113200011678109-318117731449115544769121549524482520821568438105215204645311.42%4687284.62%51130218851.65%1109220450.32%627118053.14%2060141819146141036527
Total Saison Régulière822735013610177205-2841141501254999634113200011678109-318117731449115544769121549524482520821568438105215204645311.42%4687284.62%51130218851.65%1109220450.32%627118053.14%2060141819146141036527