Connexion

Wild
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Frank Delisle | Morale : 70 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFrank Delisle
EntraîneurSylvain Lefebvre
DivisionCentrale
ConférenceConference Ouest
Capitaine
Assistant #1Michael Dal Colle
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro12
Équipe Mineure18
Limite contact 30 / 60
Espoirs18


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique72-74-16 (0.444%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)9-6
Coupe Stanley0


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
1Michael Dal Colle (R) (A)XX100.00716096708073686870656364665555090660261900,000$
2Tanner KeroXXX100.00666097707268706878666368665555090650301900,000$
3Joshua Ho-SangXX100.006060607767606060706060606055550866202611,400,000$
4Juuso ValimakiX100.006560887879728560506865776355550907002311,700,000$
5Matt IrwinX100.008060867082746067506463796566700907003421,500,000$
6Dylan Coghlan (R)X100.00696094737968777350666970715555090690241900,000$
7Tobias Bjornfot (R)X100.00686095777675866750656173645555090690211900,000$
8Will ButcherX100.006360987969776075507267657161610906802731,000,000$
9Sami NikuX100.006460967571606083506060697255550906602511,000,000$
Rayé
1Alexander NylanderXX100.006060607870606060706060606055550846202400$
MOYENNE D’ÉQUIPE100.0067608775756969685965636966575708967
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
1Anders Nilsson100.00706060956060606060606081790876423211,900,000$
2Mat Robson100.0079606081606060606060606060090612261900,000$
Rayé
MOYENNE D’ÉQUIPE100.007560608860606060606060717008963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sylvain Lefebvre56757650746866CAN5421,000,000$


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 Plafond 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 10Link
Alexander NylanderWild (MIN)LW/RW241998-03-02No180 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Anders NilssonWild (MIN)G321990-03-19No232 Lbs6 ft6NoNoNo1Pro & Farm1,900,000$0$0$NoLien
Dylan CoghlanWild (MIN)D241998-02-19Yes206 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Joshua Ho-SangWild (MIN)LW/RW261996-01-22No173 Lbs6 ft0NoNoNo1Pro & Farm1,400,000$0$0$NoLien
Juuso ValimakiWild (MIN)D231998-10-06No212 Lbs6 ft2NoNoNo1Pro & Farm1,700,000$0$0$NoLien
Mat RobsonWild (MIN)G261996-03-26No190 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Matt IrwinWild (MIN)D341987-11-29No207 Lbs6 ft1NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Michael Dal ColleWild (MIN)LW/RW261996-06-20Yes204 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Sami NikuWild (MIN)D251996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Tanner KeroWild (MIN)C/LW/RW301992-07-24No185 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Tobias BjornfotWild (MIN)D212001-04-06Yes205 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Will ButcherWild (MIN)D271995-01-06No190 Lbs5 ft10NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1226.50197 Lbs6 ft11.171,083,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleTanner KeroJoshua Ho-Sang40122
230122
320122
4Tanner KeroMichael Dal ColleJoshua Ho-Sang10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinJuuso Valimaki40122
2Tobias BjornfotDylan Coghlan30122
3Will ButcherSami Niku20122
4Matt IrwinJuuso Valimaki10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleTanner KeroJoshua Ho-Sang60122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinJuuso Valimaki60122
2Tobias BjornfotDylan Coghlan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael Dal ColleTanner Kero60122
2Joshua Ho-Sang40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinJuuso Valimaki60122
2Tobias BjornfotDylan Coghlan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Dal Colle60122Matt IrwinJuuso Valimaki60122
2Tanner Kero40122Tobias BjornfotDylan Coghlan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael Dal ColleTanner Kero60122
2Joshua Ho-Sang40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinJuuso Valimaki60122
2Tobias BjornfotDylan Coghlan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleTanner KeroJoshua Ho-SangMatt IrwinJuuso Valimaki
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleTanner KeroJoshua Ho-SangMatt IrwinJuuso Valimaki
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joshua Ho-Sang, Michael Dal Colle, Tanner KeroJoshua Ho-Sang, Michael Dal ColleTanner Kero
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Will Butcher, Sami Niku, Tobias BjornfotWill ButcherSami Niku, Tobias Bjornfot
Tirs de pénalité
Michael Dal Colle, Tanner Kero, Joshua Ho-Sang, ,
Gardien
#1 : Anders Nilsson, #2 : Mat Robson


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%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 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 billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,300,000$ 1,270,000$ 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$ 0 0$ 0$




Wild Leaders statistiques (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
1Peter Cehlarik1645768125-32618925155210.33%30294917.981021319421354348.4110.8502
2Michael Dal Colle164476411121832692525069.29%45264016.10311145700029142.9720.8400
3Tanner Kero1644267109-13501683914978.45%45282817.25817256201116156.1000.7700
4Mikkel Boedker82346910315620325032110.59%18195023.79423277000062243.2501.06210
5Andreas Johnsson8333478017221332114657.10%29181521.87616229510121253.6000.8811

Wild 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
1Mat Robson1054042120.8794.3756436041134030300.53826

Wild 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
Saison régulière
482293605228334371-3741151704014169182-1341141901214165189-2482334606940001291089011315010651037101363297485966421743318224.77%3107874.84%41669306154.52%1405268952.25%783145753.74%2068147318965761022516
2021823438005232752705412013004131451291641142500110130141-118027547374813119866852978971961102831284581457119042465723.17%2556375.29%31683292857.48%1500290851.58%765138155.39%2062148118755611017519
Total Saison régulière1646374057411609641-3282353004427314311382284401324295330-35162609107916881324819415816612820361998204194581916731235407857713924.09%56514175.04%73352598955.97%2905559751.90%1548283854.55%413029553772113720401035
Séries éliminatoires
41596000005453176100000261610835000002837-918541001540028111415641921761897497166134444561017.86%621870.97%030457752.69%27955350.45%12825849.61%36925834910919397
Total Séries éliminatoires1596000005453176100000261610835000002837-918541001540028111415641921761897497166134444561017.86%621870.97%030457752.69%27955350.45%12825849.61%36925834910919397

Wild Leaders statistiques (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
1Mikkel Boedker155121751862444610.87%336224.17101800052043.4100.9400
2Yegor Sharangovich15512175016444710.64%732621.77134900000249.8701.0400
3Brett Howden1586144620516811.76%1134122.791232100022054.8500.8200
4Sam Gagner156612501629659.23%326717.811011100000250.0000.9000
5Rasmus Sandin1429116824131910.53%1730421.76112120001000.00%00.7200

Wild 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
1Anton Khudobin105500.9003.2561000333290000.00%0
2Mat Robson54100.8823.7928520181530000.00%0