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Hooligans
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Maxime Lord | Morale : 50 | Moyenne d’équipe : 63
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMaxime Lord
DivisionLafleur
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure25
Limite contact 49 / 60
Espoirs50


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
1Andreas Athanasiou0XXX100.006542879270737274485050697771720146902911,888,888$
2Michael Carcone0XX100.00616257676284887180494960664646050690271650,000$
3Alex Barre-Boulet0X100.00645976735984886950494961614646050680262758,333$
4Jakub Voracek0XX100.00594299837873638135544660668686014680342650,000$
5Radim Zohorna (R)0XXX100.00828575688572756176424268554747050670272750,000$
6Reese Johnson0X100.00966981637259686067464677255656050660251925,000$
7Justin Richards (R)0XX100.00716975636977816176434362534444050660252750,000$
8Michael Amadio0X100.00714393737462796546494966256565050650271750,000$
9Samuel Fagemo (R)0XX100.00777094707077825950373765644545050650231910,833$
10Rasmus Kupari0XX100.007744937770569256804946692559600506402321,050,833$
11Carl Grundstrom0X100.009046908073587358384849652562630506302521,300,000$
12Jack Studnicka0XX100.00784389806557695955474673255555050630241863,333$
13Justin Kirkland (R)0XX100.00777387637367696150404065584646050630272750,000$
14Ben Meyers (R)0XX100.006742947070547160694647672548480506102421,031,250$
15Alex Turcotte (R)0X100.007471827471575661764141645545450186002212,444,167$
16Dysin Mayo0X100.00854584786859806025464584756060051630271750,000$
17Philippe Myers0X100.009347888081576963254946752560600506202612,550,000$
18Maxime Lajoie0X100.00727273637276815925434364485253050620251750,000$
19Kale Clague0X100.00694279767067625925484564255555050610251761,250$
20Connor Mackey (R)0X100.00859957717864625525484777754747050610272912,500$
21Tobias Bjornfot0X100.007973947473748149253737664058580505902211,052,500$
22Jacob Moverare (R)0X100.00767384687368735225414162394444050580252762,500$
Rayé
MOYENNE D’ÉQUIPE100.0076608373726774624946456747545504564
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
1Brian Elliott0100.0061525580665674626561797375020650381650,000$
2Jaxson Stauber (R)0100.0049536670484950554949304444050540242925,000$
Rayé
MOYENNE D’ÉQUIPE100.005553617557536259575555596003560
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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alex Barre-BouletHooligans (HOO)C265/20/1997No168 Lbs175 CMNoNoN/ANoNo2FalseFalsePro & Farm758,333$0$0$No758,333$--------No--------Lien
Alex TurcotteHooligans (HOO)C222/25/2001Yes185 Lbs180 CMNoNoN/ANoNo1FalseFalsePro & Farm2,444,167$0$0$No------------------Lien
Andreas AthanasiouHooligans (HOO)C/LW/RW298/5/1994No188 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm1,888,888$0$0$No------------------Lien / Lien NHL
Ben MeyersHooligans (HOO)C/LW2411/15/1998Yes195 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm1,031,250$0$0$No1,031,250$--------No--------
Brian ElliottHooligans (HOO)G384/9/1985No209 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------Lien / Lien NHL
Carl GrundstromHooligans (HOO)LW2512/1/1997No201 Lbs183 CMNoNoN/ANoNo2FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien / Lien NHL
Connor MackeyHooligans (HOO)D279/12/1996Yes201 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm912,500$0$0$No912,500$--------No--------Lien
Dysin MayoHooligans (HOO)D278/17/1996No185 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Jack StudnickaHooligans (HOO)C/RW242/18/1999No171 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No------------------Lien / Lien NHL
Jacob MoverareHooligans (HOO)D258/31/1998Yes198 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien
Jakub VoracekHooligans (HOO)LW/RW348/15/1989No214 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Jaxson StauberHooligans (HOO)G244/27/1999Yes175 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------
Justin KirklandHooligans (HOO)LW/RW278/2/1996Yes193 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Justin RichardsHooligans (HOO)C/RW253/17/1998Yes190 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Kale ClagueHooligans (HOO)D256/5/1998No192 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm761,250$0$0$No------------------Lien / Lien NHL
Maxime LajoieHooligans (HOO)D2511/5/1997No196 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Michael AmadioHooligans (HOO)C275/13/1996No204 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Michael CarconeHooligans (HOO)LW/RW275/19/1996No170 Lbs178 CMNoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------Lien
Philippe MyersHooligans (HOO)D261/25/1997No210 Lbs196 CMNoNoN/ANoNo1FalseFalsePro & Farm2,550,000$0$0$No------------------Lien / Lien NHL
Radim ZohornaHooligans (HOO)C/LW/RW274/29/1996Yes220 Lbs198 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Rasmus KupariHooligans (HOO)C/RW233/15/2000No189 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm1,050,833$0$0$No1,050,833$--------No--------Lien
Reese JohnsonHooligans (HOO)RW257/10/1998No192 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien
Samuel FagemoHooligans (HOO)LW/RW233/14/2000Yes190 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm910,833$0$0$No------------------Lien
Tobias BjornfotHooligans (HOO)D224/6/2001No202 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm1,052,500$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.13193 Lbs185 CM1.461,024,433$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
3Michael Amadio20122
4Carl GrundstromJack Studnicka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Kale Clague30122
320122
4Kale Clague10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kale Clague40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kale Clague40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Kale Clague40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kale Clague40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Alex Barre-Boulet, Michael Amadio, Alex Barre-BouletMichael Amadio
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #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 billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
45 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,458,638$ 2,209,138$ 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$




Hooligans 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

Hooligans 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

Hooligans 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

Hooligans 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

Hooligans 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