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Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Trent Zeigler | Morale : 1 | Moyenne d’équipe : 59
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralTrent Zeigler
EntraîneurJim Montgomery
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 100
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
1Lias AnderssonXX100.0075718062717376708266706862606063836602631,339,000$
2Cole GuttmanX100.006362926660637780646571672550506678640262950,000$
3Isak Rosen (R)X100.0069589368608085655062666060474763816302221,450,000$
4Glenn GawdinXX100.0077747964747781648063636359484863746302831,240,000$
5Adam ErneX100.0093718872785082623954556375717160746203012,247,000$
6Vasili Ponomarev (R)X100.007265897668697163786360615547476076620231917,917$
7Brian HalonenX100.007774846774636364505471636747476567610262996,000$
8Zachary L'Heureux (R)XX100.006170346772687064786362545747475777600223800,000$
9Givani SmithX100.0088997172805064603656546225636359576002731,136,000$
10Martin Chromiak (R)X100.007268846169747859505559605546455964590222820,000$
11Jacob Perreault (R)X100.006771646773626355505255575447475669570231765,957$
12Michal Teply (R)X100.0077719662737378515051496148474756705702431,184,000$
13Tucker Robertson (R)X100.007368886370575948634349584847465249530221750,000$
14Jacob MoverareX100.0064429268735477662542547325494855336202621,133,000$
15Valtteri Pulli (R)X100.008280886682626647253744623947475047590243800,000$
16Gavin BayreutherX100.007072676572555654255139623761605157580313800,000$
17Ethan FrischX100.007269796671606449254340583747474875570243800,000$
18Nicolas BeaudinX100.007267906567515251254838593749495067560252988,000$
19Tyson Feist (R)X100.006669646470555746253839543846454819530243800,000$
Rayé
1Adam RaskaX100.006063536763697547504346534445455119520231910,413$
2Alex PetersX100.007377586577606353254744604147465148580283800,000$
MOYENNE D’ÉQUIPE100.00737078667163695847525461475050566159
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
1Anson Thornton (R)100.006147597366716369736630474758896302131,000,000$
2Luke Cavallin (R)100.005947597464665964696630444461806102431,000,000$
Rayé
1Erik Kallgren100.00465063754347505348483044444820500281850,194$
MOYENNE D’ÉQUIPE100.0055486074586157626360304545566358
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Montgomery80808080808080CAN5011,600,000$


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 Salaire restantPlafond 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 ErneMonsters (CBJ)RW301995-04-20USANo211 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,247,000$0$0$No---------------------------Lien / Lien NHL
Adam RaskaMonsters (CBJ)RW232001-09-25CZENo178 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm910,413$0$0$No---------------------------Lien
Alex PetersMonsters (CBJ)D281996-07-02ONTNo201 Lbs6 ft4NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Anson ThorntonMonsters (CBJ)G212003-06-28ONTYes180 Lbs6 ft3NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Brian HalonenMonsters (CBJ)RW261999-01-11USANo205 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm996,000$0$0$No996,000$--------996,000$--------No--------Lien
Cole GuttmanMonsters (CBJ)C261999-06-04USANo163 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Erik KallgrenMonsters (CBJ)G281996-10-14SWENo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,194$0$0$No---------------------------Lien
Ethan FrischMonsters (CBJ)D242000-10-29USANo194 Lbs5 ft11NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Gavin BayreutherMonsters (CBJ)D311994-05-12USANo195 Lbs6 ft1NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Givani SmithMonsters (CBJ)RW271998-02-27ONTNo209 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,136,000$0$0$No1,136,000$1,136,000$-------1,136,000$1,136,000$-------NoNo-------Lien / Lien NHL
Glenn GawdinMonsters (CBJ)C/RW281997-03-25BCNo200 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,240,000$0$0$No1,240,000$1,240,000$-------1,240,000$1,240,000$-------NoNo-------Lien / Lien NHL
Isak RosenMonsters (CBJ)RW222003-03-15SWEYes156 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------Lien
Jacob MoverareMonsters (CBJ)D261998-08-31SWENo198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,133,000$0$0$No1,133,000$--------853,073$--------No--------Lien
Jacob PerreaultMonsters (CBJ)RW232002-04-15QUEYes196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm765,957$0$0$No---------------------------Lien
Lias AnderssonMonsters (CBJ)C/LW261998-10-13SWENo190 Lbs6 ft1NoNoTrade2024-12-13NoNo3FalseFalsePro & Farm1,339,000$0$0$No1,339,000$1,339,000$-------1,339,000$1,339,000$-------NoNo-------Lien / Lien NHL
Luke CavallinMonsters (CBJ)G242001-04-29GBRYes196 Lbs6 ft1NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Martin ChromiakMonsters (CBJ)RW222002-08-20SVKYes187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------Lien
Michal TeplyMonsters (CBJ)LW242001-05-27CZEYes187 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,184,000$0$0$No1,184,000$1,184,000$-------1,184,000$1,184,000$-------NoNo-------Lien
Nicolas BeaudinMonsters (CBJ)D251999-10-07QUENo188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm988,000$0$0$No988,000$--------988,000$--------No--------Lien
Tucker RobertsonMonsters (CBJ)C222003-06-22ONTYes190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Tyson FeistMonsters (CBJ)D242001-01-14BCYes181 Lbs6 ft2NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Valtteri PulliMonsters (CBJ)D242001-03-13FINYes209 Lbs6 ft6NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Vasili PonomarevMonsters (CBJ)C232002-03-13RUSYes180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm917,917$0$0$No---------------------------Lien
Zachary L'HeureuxMonsters (CBJ)C/LW222003-05-15QUEYes196 Lbs5 ft11NoNoProspectNoNo32024-09-17FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.96191 Lbs6 ft12.251,019,895$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole GuttmanLias AnderssonIsak Rosen40122
2Vasili PonomarevBrian HalonenGlenn Gawdin30122
3Glenn GawdinAdam ErneIsak Rosen20122
4Glenn GawdinBrian HalonenZachary L'Heureux10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin BayreutherEthan Frisch40122
2Jacob MoverareValtteri Pulli30122
3Valtteri PulliJacob Moverare20122
4Ethan FrischNicolas Beaudin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Isak RosenZachary L'HeureuxBrian Halonen60122
2Glenn GawdinVasili PonomarevLias Andersson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Valtteri PulliJacob Moverare60122
2Nicolas BeaudinEthan Frisch40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vasili PonomarevGlenn Gawdin60122
2Zachary L'HeureuxBrian Halonen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas BeaudinValtteri Pulli60122
2Ethan FrischJacob Moverare40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Glenn Gawdin60122Valtteri PulliEthan Frisch60122
2Isak Rosen40122Jacob MoverareNicolas Beaudin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Isak RosenGlenn Gawdin60122
2Vasili PonomarevZachary L'Heureux40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas BeaudinJacob Moverare60122
2Valtteri PulliEthan Frisch40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Glenn GawdinLias AnderssonCole GuttmanJacob MoverareValtteri Pulli
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Glenn GawdinLias AnderssonCole GuttmanJacob MoverareValtteri Pulli
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Glenn Gawdin, Zachary L'Heureux, Vasili PonomarevGlenn Gawdin, Vasili PonomarevGlenn Gawdin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Valtteri Pulli, Ethan Frisch, Nicolas BeaudinValtteri PulliEthan Frisch, Valtteri Pulli
Tirs de pénalité
Zachary L'Heureux, Glenn Gawdin, Vasili Ponomarev, Brian Halonen, Isak Rosen
Gardien
#1 : Anson Thornton, #2 : Luke Cavallin


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
46 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,447,748$ 2,310,356$ 1,600,000$0$
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$




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