Connexion

Wolf Pack
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jonathan Laroche | Morale : 50 | Moyenne d’équipe : 60
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJonathan Laroche
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs23


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 moyen
1Nils HoglanderXX100.00684380777783727240676565715952050680211891,667$
2Cedric PaquetteXX100.008470708074496357515351795171760506502911,200,000$
3Vinni LettieriXX100.006143717165716967596463636762540506402711,420,370$
4Dylan Holloway (R)XX100.00735568717972656747646062665250050640213925,000$
5Frederik GauthierXX100.008047976988546050744651762464640506202721,200,000$
6Marco Rossi (R)X100.00614663726161596561655963655050050620213863,333$
7Valtteri PuustinenX100.00544473706066666644646253665250050610233842,500$
8Vasili Ponomarev (R)X100.00574564706259586259595954645050050590203813,333$
9Tyce Thompson (R)X100.00565164676162616141595353605150050580232915,000$
10Jacob Perreault (R)X100.00584764646460596141585551605050050570201925,000$
11Cale FleuryX100.00674771717978676640625967656154050660231780,000$
12Ty Emberson (R)X100.00624770686563636340595564625150050610222853,333$
13Kai Wissmann (R)X100.00634069636662625940565466595350050610253825,000$
14William Villeneuve (R)X100.00624066696160606140625666625050050610203817,778$
15Bode WildeX100.00768096587350464927354567434444050570221778,333$
Rayé
1Artem AnisimovX100.005640716262696962536160576270610506103441,750,000$
2Georgii Merkulov (R)X100.00604466706261606243615959645050050600213925,000$
3Pavel Dorofeyev (R)X100.00584466705961596256575756635050050590211925,000$
4Bokondji ImamaX100.00636852597066655941545257565450050570262800,000$
5Ville Koivunen (R)X100.00564068665754535647535454595050050550193828,333$
MOYENNE D’ÉQUIPE100.0064497068676362614758566259555305061
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 SPÂgeContratSalaire moyen
1Braden Holtby100.00717271747171697171716987770506603324,875,000$
2Jet Greaves (R)100.0071616361666972697067615050050620211600,000$
3Evan Cormier (R)100.0066575467626263616361525350050570241600,000$
Rayé
1Joel Blomqvist (R)100.0059575764585554535458535050050530203825,000$
2David Hrenak (R)100.0042394875434244464242424440050440242820,000$
MOYENNE D’ÉQUIPE100.006257596860606060606055575305056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Artem Anisimov (contrat à 1 volet)Wolf Pack (Ran)C341988-05-24No198 Lbs6 ft4NoNoYesNo4Pro & Farm1,750,000$750,000$850,000$364,286$No1,750,000$1,750,000$1,750,000$Lien
Bode WildeWolf Pack (Ran)D222000-01-24No192 Lbs6 ft3NoNoNoNo1Pro & Farm778,333$333,571$0$0$NoLien
Bokondji ImamaWolf Pack (Ran)LW261996-08-03No220 Lbs6 ft1NoNoYesNo2Pro & Farm800,000$342,857$0$0$No800,000$Lien
Braden Holtby (contrat à 1 volet)Wolf Pack (Ran)G331989-09-16No214 Lbs6 ft2NoNoYesNo2Pro & Farm4,875,000$2,089,286$3,975,000$1,703,571$No4,875,000$Lien
Cale FleuryWolf Pack (Ran)D231998-11-19No204 Lbs6 ft1NoNoNoNo1Pro & Farm780,000$334,286$0$0$NoLien
Cedric Paquette (contrat à 1 volet)Wolf Pack (Ran)C/LW291993-08-12No204 Lbs6 ft0NoNoYesNo1Pro & Farm1,200,000$514,286$300,000$128,571$NoLien
David HrenakWolf Pack (Ran)G241998-05-05Yes190 Lbs6 ft2NoNoYesNo2Pro & Farm820,000$351,429$0$0$No820,000$Lien
Dylan HollowayWolf Pack (Ran)C/LW212001-09-23Yes203 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$396,429$0$0$No925,000$925,000$Lien
Evan CormierWolf Pack (Ran)G241997-11-06Yes201 Lbs6 ft3NoNoYesNo1Pro & Farm600,000$257,143$0$0$NoLien
Frederik Gauthier (contrat à 1 volet)Wolf Pack (Ran)C/RW271995-04-26No239 Lbs6 ft5NoNoYesNo2Pro & Farm1,200,000$514,286$300,000$128,571$No1,200,000$Lien
Georgii MerkulovWolf Pack (Ran)LW212000-10-10Yes181 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$396,429$0$0$No925,000$925,000$
Jacob PerreaultWolf Pack (Ran)RW202002-04-15Yes192 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$396,429$0$0$NoLien
Jet GreavesWolf Pack (Ran)G212001-03-30Yes179 Lbs6 ft0NoNoNoNo1Pro & Farm600,000$257,143$0$0$NoLien
Joel BlomqvistWolf Pack (Ran)G202002-01-10Yes183 Lbs6 ft2NoNoNoNo3Pro & Farm825,000$353,571$0$0$No825,000$825,000$Lien
Kai WissmannWolf Pack (Ran)D251996-10-22Yes207 Lbs6 ft4NoNoYesNo3Pro & Farm825,000$353,571$0$0$No825,000$825,000$
Marco RossiWolf Pack (Ran)C212001-09-23Yes183 Lbs5 ft9NoNoNoNo3Pro & Farm863,333$370,000$0$0$No863,333$863,333$Lien
Nils HoglanderWolf Pack (Ran)LW/RW212000-12-20No185 Lbs5 ft9NoNoNoNo1Pro & Farm891,667$382,143$0$0$NoLien
Pavel DorofeyevWolf Pack (Ran)C212000-10-26Yes168 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$396,429$0$0$NoLien
Ty EmbersonWolf Pack (Ran)D222000-05-24Yes194 Lbs6 ft1NoNoNoNo2Pro & Farm853,333$365,714$0$0$No853,333$Lien
Tyce ThompsonWolf Pack (Ran)RW231999-07-12Yes174 Lbs6 ft1NoNoNoNo2Pro & Farm915,000$392,143$0$0$No915,000$Lien
Valtteri PuustinenWolf Pack (Ran)LW231999-06-04No183 Lbs5 ft9NoNoNoNo3Pro & Farm842,500$361,071$0$0$No842,500$842,500$Lien
Vasili PonomarevWolf Pack (Ran)C202002-03-13Yes181 Lbs5 ft10NoNoNoNo3Pro & Farm813,333$348,571$0$0$No813,333$813,333$Lien
Ville KoivunenWolf Pack (Ran)RW192003-06-13Yes161 Lbs5 ft11NoNoNoNo3Pro & Farm828,333$355,000$0$0$No828,333$828,333$
Vinni Lettieri (contrat à 1 volet)Wolf Pack (Ran)C/RW271995-02-06No185 Lbs5 ft11NoNoYesNo1Pro & Farm1,255,555$608,730$520,370$223,016$NoLien
William VilleneuveWolf Pack (Ran)D202002-03-20Yes174 Lbs6 ft1NoNoNoNo3Pro & Farm817,778$350,476$0$0$No817,778$817,778$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.48192 Lbs6 ft12.081,073,367$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cedric Paquette40122
2Dylan HollowayJacob Perreault30122
3Tyce ThompsonVasili Ponomarev20122
4Cedric PaquetteMarco RossiTyce Thompson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Ty EmbersonKai Wissmann30122
3William Villeneuve20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cedric PaquetteVinni Lettieri60122
2Vinni Lettieri40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ty EmbersonKai Wissmann40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cedric Paquette60122
2Vinni Lettieri40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ty EmbersonKai Wissmann40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cedric Paquette6012260122
2Vinni Lettieri40122Ty EmbersonKai Wissmann40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cedric Paquette60122
2Vinni Lettieri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ty EmbersonKai Wissmann40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cedric PaquetteVinni Lettieri
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cedric PaquetteVinni Lettieri
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vinni Lettieri, Dylan Holloway, Vinni Lettieri, Dylan HollowayVinni Lettieri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kai Wissmann, William Villeneuve, Kai WissmannKai Wissmann, William Villeneuve
Tirs de pénalité
, , , Cedric Paquette, Vinni Lettieri
Gardien
#1 : Braden Holtby, #2 :


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
TotalDomicileVisiteur
# 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%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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%000%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%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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 billets4020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,655,360$ 1,655,360$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 12 0$ 0$




Wolf Pack Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Wolf Pack Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Wolf Pack Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Wolf Pack Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Wolf Pack Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA