Connexion

Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Simon Bilodeau | Morale : 40 | Moyenne d’équipe : 61
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSimon Bilodeau
EntraîneurPascal Vincent
DivisionPacific Division
ConférenceConférence Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 70
Espoirs11


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
1Liam O'Brien0XX100.00899355738379907250696572708575040720311775,000$
2Dryden Hunt0XX100.00784082737782776840656366687868040680302750,000$
3James Hamblin0XX100.00644084757575686776616267685850040660273807,500$
4Adam Gaudette0XX100.00614564716369676950647062705550040650292775,000$
5Aku Raty0XX100.00644272716464626444645864645050040630243925,000$
6Nathan Todd0X100.00594174656470686745656060645851040630302775,000$
7Gage Goncalves0X100.00574466666365636664675758635150040620251919,167$
8Justin Sourdif0X100.00604762716064626444635662645050040610242902,500$
9Spencer Smallman0X100.00604563646368666143545656605550040590291762,500$
10Ryan Suzuki0X100.00584173656464626160605752615150040590252863,334$
11Tyler Benson0XXX100.00544173626367656043625251585450040580281750,000$
12Carsen Twarynski0XXX100.00604270636565625741515256575450040570281750,000$
13Sebastien Aho0X100.00664591757285857140676474707868040720301825,000$
14Dennis Gilbert0X100.00694579718482766940666271677565040700291762,500$
15Joel Hanley0X100.00696373757383846840646272688373040700351787,500$
16Maxence Guenette0X100.00664173666965636640645769635150040640252813,333$
17Gustav Olofsson0X100.00644172656470686140565268596053040630311775,000$
18Sean Day0X100.00654172647267656240615567605450040630283775,000$
Rayé
1Ville Koivunen (R)0X100.0011111111111111104060222902,500$
2Steven Santini0X100.00614272656471696340605568616050040630312800,000$
3Louie Belpedio0X100.00574661656267646040525562605851040600301775,000$
4Mattias Norlinder0X100.00544270656065635940535354595250040580261925,000$
MOYENNE D’ÉQUIPE100.0061446865656866624459566161585304061
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
1Matt Tomkins0100.0075707165707072707072686558040690321775,000$
2Kevin Mandolese0100.0068626270676668656666585150040650253775,000$
Rayé
1Alex Stalock0100.0062656163626061566162657568040610382750,000$
MOYENNE D’ÉQUIPE100.006866656666656764666764645904065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent8576818778751CAN531525,000$


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 Pays 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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Adam GaudetteMonsters (CBJ)C/LW291995-10-03USANo194 Lbs6 ft1NoNoAssign ManuallyNoNo22024-11-11FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Aku RatyMonsters (CBJ)LW/RW242000-07-05FINNo190 Lbs6 ft1NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Alex StalockMonsters (CBJ)G381986-07-28USANo198 Lbs6 ft0NoNoTrade2024-03-17YesNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Carsen TwarynskiMonsters (CBJ)C/LW/RW281996-11-24CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Dennis GilbertMonsters (CBJ)D291995-10-30USANo216 Lbs6 ft2NoNoN/ANoNo12024-08-23FalseFalsePro & Farm762,500$0$0$No---------------------------Lien NHL
Dryden HuntMonsters (CBJ)LW/RW301994-11-24CANNo193 Lbs6 ft0NoNoN/ANoNo22024-08-23FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Gage GoncalvesMonsters (CBJ)LW252000-01-16CANNo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm919,167$0$0$No---------------------------
Gustav OlofssonMonsters (CBJ)D311993-12-01SWENo201 Lbs6 ft2NoNoAssign ManuallyYesNo12025-04-14FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
James HamblinMonsters (CBJ)C/LW271998-04-27CANNo185 Lbs5 ft10NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm807,500$0$0$No807,500$807,500$-------807,500$807,500$-------NoNo-------
Joel HanleyMonsters (CBJ)D351990-06-08CANNo186 Lbs5 ft11NoNoAssign ManuallyYesNo12024-11-24FalseFalsePro & Farm787,500$0$0$No---------------------------Lien NHL
Justin SourdifMonsters (CBJ)C242001-03-24CANNo175 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------
Kevin MandoleseMonsters (CBJ)G251999-08-22CANNo207 Lbs6 ft5NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Liam O'BrienMonsters (CBJ)LW/RW311993-07-29CANNo213 Lbs6 ft1NoNoN/AYesNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Louie BelpedioMonsters (CBJ)D301995-05-14USANo196 Lbs5 ft11NoNoN/ANoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Matt TomkinsMonsters (CBJ)G321993-06-19CANNo191 Lbs6 ft4NoNoAssign ManuallyYesNo12025-04-14FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Mattias NorlinderMonsters (CBJ)D261999-04-12SWENo179 Lbs5 ft11NoNoN/ANoNo12024-08-23FalseFalsePro & Farm925,000$0$0$No---------------------------
Maxence GuenetteMonsters (CBJ)D252000-04-28CANNo208 Lbs6 ft3NoNoN/ANoNo22024-08-23FalseFalsePro & Farm813,333$0$0$No813,333$--------813,333$--------No--------
Nathan ToddMonsters (CBJ)C301994-12-02CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo22024-11-11FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Ryan SuzukiMonsters (CBJ)C252000-05-28CANNo190 Lbs6 ft1NoNoN/ANoNo22024-08-23FalseFalsePro & Farm863,334$0$0$No863,334$--------863,334$--------No--------
Sean DayMonsters (CBJ)D281997-01-09BGMNo225 Lbs6 ft3NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Sebastien AhoMonsters (CBJ)D301995-02-17SWENo180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien NHL
Spencer SmallmanMonsters (CBJ)RW291995-09-09CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm762,500$0$0$No---------------------------Lien NHL
Steven SantiniMonsters (CBJ)D311994-03-07USANo202 Lbs6 ft2NoNoAssign ManuallyYesNo22024-11-11FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien NHL
Tyler BensonMonsters (CBJ)C/LW/RW281997-03-15CANNo190 Lbs6 ft1NoNoN/ANoNo12024-08-23FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Ville KoivunenMonsters (CBJ)C222003-06-13FINYes172 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.48195 Lbs6 ft11.68807,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam GaudetteLiam O'BrienDryden Hunt25122
2Aku RatyJames HamblinNathan Todd25122
3Liam O'BrienDryden Hunt25122
4Ryan SuzukiSpencer Smallman25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoJoel Hanley40122
2Sean DayMaxence Guenette30122
3Maxence GuenetteDennis Gilbert20122
4Sean DayMaxence Guenette10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam O'BrienDryden Hunt60122
2Adam GaudetteJames HamblinAku Raty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoSean Day60122
2Joel HanleyMaxence Guenette40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1James HamblinDryden Hunt60122
2Liam O'Brien40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DaySebastien Aho60122
2Joel HanleyMaxence Guenette40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Liam O'Brien60122Joel HanleySean Day60122
240122Dennis GilbertMaxence Guenette40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam O'Brien60122
2Dryden HuntJames Hamblin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleySean Day60122
2Sebastien AhoMaxence Guenette40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntLiam O'BrienJames HamblinSebastien AhoJoel Hanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntLiam O'BrienJames HamblinSebastien AhoJoel Hanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dryden Hunt, , Liam O'Brien, Aku Raty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxence Guenette, Sean Day, Joel HanleyMaxence GuenetteMaxence Guenette, Sean Day
Tirs de pénalité
Dryden Hunt, James Hamblin, Aku Raty, , Liam O'Brien
Gardien
#1 : Matt Tomkins, #2 : Kevin Mandolese
Lignes d’attaque personnalisées en prolongation
Tyler Benson, Nathan Todd, Dryden Hunt, Adam Gaudette, Aku Raty, Spencer Smallman, Spencer Smallman, Ryan Suzuki, Liam O'Brien, James Hamblin,
Lignes de défense personnalisées en prolongation
Sebastien Aho, Dennis Gilbert, Joel Hanley, Maxence Guenette, Sean Day


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
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 20,195,834$ 20,195,834$ 525,000$0$
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$ 2 0$ 0$




Monsters 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

Monsters 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

Monsters 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

Monsters 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

Monsters 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