Connexion

Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: DISPO Interim UTA | Morale : 50 | Moyenne d’équipe : 68
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDISPO Interim UTA
EntraîneurJohn Stevens
DivisionDivision Nord-Est
ConférenceConference Est
CapitaineAndrew Poturalski
Assistant #1Justin Bailey
Assistant #2Mason Geertsen


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure22
Limite contact 49 / 80
Espoirs14


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique240-142-37 (0.573%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)23-17
Coupe Stanley1


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Tim GettingerXX100.00797376719674787269716968726668050690272750,000$
2Carsen TwarynskiX100.00636893728176716978707372736769050690272750,000$
3Filip Hallander (R)XX100.00603788768584857374696968736365050690251825,000$
4Dominic ToninatoX100.00793756379778066827072737570710506903141,000,000$
5Tanner KaspickXX100.00615176718777826571707169676668050680272750,000$
6Jack Malone (R)XX100.00553683697575856945696867506060050660241750,000$
7Adam Ginning (R)X100.00744172618382726730696775506566050690251825,000$
8Derrick PouliotX100.006539857074838666306965726071720506903121,100,000$
9Sean DayX100.00773982688768736530686471566668050680273750,000$
10Luke GreenX100.00663888558560606930605560556563050610273750,000$
Rayé
1Andrew Poturalski (C)XX100.008139876570778377817269707370720506903100$
2Nathan WalkerXX100.007939857477837175697170697470720506903121,100,000$
3Cam Morrison (R)X100.00763991708572746871707071676668050690263850,000$
4Jackson CatesX100.006336857382757471837171707267690506902700$
5Justin Bailey (A)X100.005939876389757874717069727769710506902900$
6Riley Sutter (R)X100.00794186758866726973706772636567050690251925,000$
7Ryan Mcgregor (R)XX100.00593788728472697676706971686567050690263925,000$
8Blade Jenkins (R)XX100.00673795728667737462717072676466050690242900,000$
9Nicholas Abruzzese (R)XX100.006036906579807473797272736065670506902641,200,000$
10Kyle MacLeanXX100.006842706787758565857070756566670506902631,700,000$
11Curtis Hall (R)X100.00743991668370767368696669636466050680251750,000$
12Lucas Feuk (R)X100.00553580607070756045606164506060050610242750,000$
13Mason Geertsen (A)X100.008079526689778268306562705669710506903000$
14Mathias Norlinder (R)X100.00613791778177657330726672606365050690251970,000$
15Dysin MayoX100.007740846777858464306560736368700506902822,400,000$
MOYENNE D’ÉQUIPE100.0069428368827576706069677064666805068
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ken Appleby100.0065686788646373716471606881050690303750,000$
2Frederik Dichow (R)100.0065555575626064616160656060050610242750,000$
Rayé
MOYENNE D’ÉQUIPE100.006562618263626966636663647105065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens72767574878160CAN6021,100,000$


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 GinningMonsters (CLB)D252000-01-13SWEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm825,000$825,000$0$0$No---------------------------Lien / Lien NHL
Andrew PoturalskiMonsters (CLB)C/RW311994-01-14USANo181 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Blade JenkinsMonsters (CLB)C/LW242000-08-11USAYes200 Lbs6 ft1NoNoFree AgentNoNo22025-05-22FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Cam MorrisonMonsters (CLB)LW261998-08-27CANYes212 Lbs6 ft3NoNoFree AgentNoNo32025-05-22FalseFalsePro & Farm850,000$850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Carsen TwarynskiMonsters (CLB)LW271997-11-24CANNo198 Lbs6 ft2NoNoFree AgentNoNo22024-05-29FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Curtis HallMonsters (CLB)C252000-04-26CANYes210 Lbs6 ft4NoNoN/ANoNo12025-04-23FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien / Lien NHL
Derrick PouliotMonsters (CLB)D311994-01-16CANNo214 Lbs6 ft0NoNoFree AgentNoNo22024-07-16FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Dominic ToninatoMonsters (CLB)C311994-03-09USANo201 Lbs6 ft3NoNoFree AgentNoNo42024-07-16FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien / Lien NHL
Dysin MayoMonsters (CLB)D281996-08-17CANNo183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm2,400,000$2,400,000$0$0$No2,400,000$--------2,400,000$--------No--------Lien / Lien NHL
Filip HallanderMonsters (CLB)C/LW252000-06-29SWEYes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$825,000$0$0$No---------------------------Lien / Lien NHL
Frederik DichowMonsters (CLB)G242001-03-01SWEYes192 Lbs6 ft4NoNoProspectNoNo22025-04-23FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien
Jack MaloneMonsters (CLB)C/RW242000-10-13USAYes190 Lbs6 ft1NoNoN/ANoNo12025-04-23FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Jackson CatesMonsters (CLB)C271997-09-26USANo190 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Justin BaileyMonsters (CLB)RW291995-07-01USANo214 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Ken ApplebyMonsters (CLB)G301995-04-10CANNo209 Lbs6 ft4NoNoFree AgentNoNo32025-03-07FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Kyle MacLeanMonsters (CLB)C/LW261999-04-29USANo190 Lbs6 ft1NoNoFree AgentNoNo32024-07-16FalseFalsePro & Farm1,700,000$1,700,000$0$0$No1,700,000$1,700,000$-------1,700,000$1,700,000$-------NoNo-------Lien / Lien NHL
Lucas FeukMonsters (CLB)LW242001-02-19SWEYes190 Lbs6 ft0NoNoProspectNoNo22025-04-23FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien
Luke GreenMonsters (CLB)D271998-01-12CANNo187 Lbs6 ft0NoNoFree AgentNoNo32025-04-23FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Mason GeertsenMonsters (CLB)D301995-04-19CANNo216 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Mathias NorlinderMonsters (CLB)D252000-04-12SWEYes185 Lbs6 ft0NoNoFree Agent2024-01-14NoNo12025-05-22FalseFalsePro & Farm970,000$970,000$0$0$No---------------------------Lien / Lien NHL
Nathan WalkerMonsters (CLB)LW/RW311994-02-07GBRNo185 Lbs5 ft8NoNoFree AgentNoNo22024-07-09FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Nicholas AbruzzeseMonsters (CLB)C/LW261999-06-04USAYes183 Lbs5 ft11NoNoFree AgentNoNo42025-05-22FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------NoNoNo------Lien / Lien NHL
Riley SutterMonsters (CLB)RW251999-10-25CANYes204 Lbs6 ft4NoNoFree AgentNoNo12025-05-22FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Ryan McgregorMonsters (CLB)C/LW261999-01-29CANYes168 Lbs6 ft0NoNoFree AgentNoNo32025-05-22FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Sean DayMonsters (CLB)D271998-01-09BELNo225 Lbs6 ft3NoNoFree AgentNoNo32024-05-29FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Tanner KaspickMonsters (CLB)C/LW271998-01-28CANNo205 Lbs6 ft1NoNoFree AgentNoNo22024-05-29FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Tim GettingerMonsters (CLB)C/LW271998-04-14USANo218 Lbs6 ft6NoNoFree AgentNoNo22024-05-29FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.96198 Lbs6 ft21.85822,963$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
129122
2Tim GettingerFilip Hallander27122
3Tanner Kaspick25122
4Carsen Twarynski19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Day40122
234122
3Adam GinningDerrick Pouliot26122
40122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Tim GettingerFilip Hallander40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Adam Ginning40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Carsen Twarynski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Day60122
2Adam Ginning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Sean Day60122
240122Adam Ginning40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip Hallander60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Adam Ginning40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Tanner Kaspick, , Tanner Kaspick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Sean Day, Derrick PouliotDerrick PouliotDerrick Pouliot,
Tirs de pénalité
, , , Filip Hallander, Carsen Twarynski
Gardien
#1 : , #2 : Ken Appleby


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 billets4627
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$ 2,222,000$ 2,222,000$ 1,100,000$0$
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
1Nicolas Petan1899413022455205348271813.09%41388120.532145661421011012746.73%31.1514
2Carsen Twarynski3471031202234910533537580512.80%66475413.702735621331341311547.53%30.9436
3Mason Geertsen3714715920639603127830539611.87%454795621.452435591840554630%00.5200
4Alex Formenton202871162035811543736970212.39%63469123.221630461241231014845.23%20.87310
5Nicholas Abruzzese1637911018919233546759013.39%39344921.161741581233031512543.08%21.1038

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
1Garret Sparks79551540.9043.0644162522523460420.64314
2Collin Delia79442470.8983.2245336024323860110.61513
3Kevin Mandolese68402140.8963.4938002122121170100.7147
4Dustin Tokarski78362970.8744.0141288027621960220.2005
5Antoine Bibeau77331820.9072.9434682217018230340.91712

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
Saison régulière
2082363801502310335-2541181900301150172-2241181901201160163-3813105708802012696872259792680286014267181271718682827727.30%2937674.06%71435274852.22%1446280551.55%696141449.22%1921131619556031061522
2182373407121315275404121160211014913019411618050111661452194315568883521108810814272085486498034262876165818532566324.61%2886577.43%61484284352.20%1490288451.66%701140749.82%1947133719346091072536
22825319032323502481024126100211116211547412790112118813355122350645995351211231009291198798092931262976758919212798229.39%2595777.99%51494297650.20%1499290851.55%716137552.07%1985137919155961054531
238239270842234229547412290621118113843411718022111611574104342623965111301198313268588188189046274182661819472728531.25%2675977.90%11327277047.91%1325285846.36%674142547.30%1942133519526081067534
24823924086233272656241221202320171134374117120630315613125107327598925201211078913270987591088654260673967518622574919.07%2816776.16%21348283147.62%1303269448.37%727144850.21%2006138618836051076542
Total Saison régulière41020414202718910164414182262051096601210538136891242059576015847831729102508164430044648138608533467511362245234437454517913275390532579451134635626.45%138832476.66%2170881416850.03%70631414949.92%3514706949.71%980467549641302353332668
Séries éliminatoires
211156000003135-4532000001394624000001826-810315788011199235512512010643321067726635617.14%35780.00%019940349.38%19538550.65%10718757.22%2671822518415076
22231670000094761813940000054431110730000040337329417226611343127280326824926224763216193582711521.13%902077.78%043587649.66%43585351.00%17937947.23%561385554172301148
23624000002327-4312000001513231200000814-6423345700512602107265667172497412718527.78%27870.37%09120843.75%8220440.20%5311745.30%14799146478038
Total Séries éliminatoires4023170000014813810211380000082651719109000006673-74614826341112505242413684654344343512673713449751242620.97%1523576.97%0725148748.76%712144249.38%33968349.63%977667951303532264

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
1Nicolas Petan4023254852148914116.31%577419.374591900003050.71%01.2400
2Nicholas Abruzzese29923327211661277.09%557619.8838111800001143.96%01.1100
3Jordan Gross2342630206831429.52%4259425.84044200000100%01.0100
4Brendan Lemieux231217298401196311610.34%954723.810221800024047.55%01.0600
5Alex Formenton25716234145749897.87%1456222.521671500021040.63%00.8200

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
1Garret Sparks2315520.8963.361338417571800100
2Antoine Bibeau113220.8783.50463002722201000
3Mike Robinson20000.8505.63322032000000