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Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Benoit Toupin | Morale : 50 | Moyenne d’équipe : 60

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralBenoit Toupin
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 50
Espoirs17


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique54-20-6 (0.675%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)4 - 6 (0.400%)
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Laurent DauphinX100.00624374727575726475575766657969050650281888,888$
2Benoit-Olivier Groulx (R)X100.006946747075747066656160626556500506302300$
3Matej Blumel (R)X100.00624269706466656745646362675250050630231925,000$
4Ivan Miroshnichenko (R)X100.00704075707475636640636262665150050630192950,000$
5Luke PhilpX100.005743706860666459425656606157500505902700$
6William Stromgren (R)X100.00624169636462616142625659605050050590202900,833$
7Brandon Coe (R)X100.005942686365636260425355525950500505702100$
8Jared Davidson (R)XXX100.00614265636260586041555857605050050570212862,500$
9Cole Fonstad (R)X100.00524070665858595841555452605150050560231700,000$
10Matt Rempe (R)XX100.00666055597162615841525455575050050560211820,000$
11Matteo Costantini (R)X100.00555555555555555555555555555555050550212620,000$
12Dominik Bokk (R)XX100.006769876569444545484240604144440505202300$
13Chase PriskieX100.00584468716169676540616067655750050630272700,000$
14Connor MackeyX100.006460576969736763405857686356510506302700$
15Matt KierstedX100.005945677266716664405957676556510506302500$
16Vincent Iorio (R)X100.00694270676760606240585569615050050620201845,000$
17Adam Ginning (R)X100.006448596667646362405954646152500506102300$
18Wyatte Wylie (R)X100.006043726863646360405553656152500506002300$
Rayé
1Chad Yetman (R)X100.005540676261545351395049535551500505302300$
2Drew Helleson (R)X100.00614664656863626240585559615150050600221925,000$
3Frederic Brunet (R)X100.00644168636459576040575665595050050600202860,000$
4Lukas Cormier (R)X100.00544267666263626440615756635050050590211793,333$
5Daniil Chayka (R)X100.00564171616660606040535352585050050560201847,500$
MOYENNE D’ÉQUIPE100.0061466866656362614457556060535105059
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
1Brian Elliott100.00597270766870717171666891810506503800$
2Arturs Silovs (R)100.0070636671707172697269585150050630221870,000$
Rayé
1Jakub Skarek (R)100.00706468676868706668695852500506202300$
2Yaniv Perets (R)100.0072636271676664636667635150050600232805,000$
3Ken Appleby100.00686361696563636162656259520505902800$
MOYENNE D’ÉQUIPE100.006865657168686866686762615705062
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 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 GinningMonsters (Clb)D232000-01-13SWEYes205 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Arturs SilovsMonsters (Clb)G222001-03-22LATYes217 Lbs6 ft4NoNoTrade2025-02-24NoNo1FalseFalsePro & Farm870,000$0$0$No---------------------------Lien
Benoit-Olivier GroulxMonsters (Clb)C232000-02-06FRAYes198 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Brandon CoeMonsters (Clb)RW212001-12-01CANYes190 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Brian Elliott (contrat à 1 volet)Monsters (Clb)G381985-04-09CANNo221 Lbs6 ft2NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Chad YetmanMonsters (Clb)RW232000-02-18CANYes179 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Chase PriskieMonsters (Clb)D271996-03-19USANo185 Lbs6 ft0NoNoFree AgentYesNo22024-09-03FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Cole FonstadMonsters (Clb)LW232000-04-24CANYes170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Connor MackeyMonsters (Clb)D271996-09-12USANo195 Lbs6 ft2NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Daniil ChaykaMonsters (Clb)D202002-10-22RUSYes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm847,500$0$0$No---------------------------Lien
Dominik BokkMonsters (Clb)LW/RW232000-02-03GERYes181 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Drew HellesonMonsters (Clb)D222001-03-26USAYes211 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Frederic BrunetMonsters (Clb)D202003-08-21CANYes195 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm860,000$0$0$No860,000$--------860,000$--------No--------Lien
Ivan MiroshnichenkoMonsters (Clb)LW192004-02-04RUSYes185 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Jakub SkarekMonsters (Clb)G231999-11-10CZEYes205 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Jared DavidsonMonsters (Clb)C/LW/RW212002-07-07CANYes183 Lbs6 ft0NoNoProspectNoNo22024-06-25FalseFalsePro & Farm862,500$0$0$No862,500$--------862,500$--------No--------Lien
Ken Appleby (contrat à 1 volet)Monsters (Clb)G281995-04-10CANNo210 Lbs6 ft4NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Laurent Dauphin (contrat à 1 volet)Monsters (Clb)C281995-03-27CANNo186 Lbs6 ft0NoNoN/AYesNo1FalseFalsePro & Farm888,888$0$0$No---------------------------Lien
Lukas CormierMonsters (Clb)D212002-03-27CANYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm793,333$0$0$No---------------------------Lien
Luke Philp (contrat à 1 volet)Monsters (Clb)C271995-11-06CANNo185 Lbs5 ft10NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Matej BlumelMonsters (Clb)LW232000-05-31CZEYes198 Lbs6 ft0NoNoTrade2025-02-24NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Matt KierstedMonsters (Clb)D251998-04-14USANo181 Lbs6 ft0NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Matt RempeMonsters (Clb)C/RW212002-06-29CANYes207 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm820,000$0$0$No---------------------------Lien
Matteo CostantiniMonsters (Clb)C212002-08-16CANYes176 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Vincent IorioMonsters (Clb)D202002-11-14CANYes205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm845,000$0$0$No---------------------------Lien
William StromgrenMonsters (Clb)LW202003-06-07SWEYes195 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm900,833$0$0$No900,833$--------900,833$--------No--------Lien
Wyatte WylieMonsters (Clb)D231999-11-02USAYes190 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Yaniv PeretsMonsters (Clb)G232000-03-04CANYes181 Lbs6 ft1NoNoTrade2025-02-14NoNo22024-06-25FalseFalsePro & Farm805,000$0$0$No805,000$--------805,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.39194 Lbs6 ft20.82475,466$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelLaurent DauphinJared Davidson40023
2Ivan MiroshnichenkoBenoit-Olivier GroulxBrandon Coe30014
3William StromgrenLuke PhilpMatt Rempe20023
4Cole FonstadMatteo CostantiniDominik Bokk10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieConnor Mackey40023
2Matt KierstedVincent Iorio30032
3Adam GinningWyatte Wylie20122
4Chase PriskieConnor Mackey10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelLaurent DauphinJared Davidson60005
2Ivan MiroshnichenkoBenoit-Olivier GroulxBrandon Coe40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieConnor Mackey60014
2Matt KierstedVincent Iorio40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinMatej Blumel60050
2Benoit-Olivier GroulxIvan Miroshnichenko40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieConnor Mackey60050
2Matt KierstedVincent Iorio40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Laurent Dauphin60050Chase PriskieConnor Mackey60050
2Benoit-Olivier Groulx40050Matt KierstedVincent Iorio40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinMatej Blumel60122
2Benoit-Olivier GroulxIvan Miroshnichenko40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieConnor Mackey60122
2Matt KierstedVincent Iorio40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelLaurent DauphinJared DavidsonChase PriskieConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelLaurent DauphinJared DavidsonChase PriskieConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Stromgren, Luke Philp, Jared DavidsonWilliam Stromgren, Luke PhilpWilliam Stromgren
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vincent Iorio, Adam Ginning, Wyatte WylieVincent IorioVincent Iorio, Adam Ginning
Tirs de pénalité
Laurent Dauphin, Matej Blumel, Ivan Miroshnichenko, Benoit-Olivier Groulx, William Stromgren
Gardien
#1 : Brian Elliott, #2 : Arturs Silovs


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
4 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,242,416$ 1,242,416$ 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
1Laurent Dauphin80629315597011615535217.61%30179822.4819274650000111263.45%41.7224
2Matej Blumel84616412521521448932818.60%38163619.4813284143101810451.14%11.5336
3Jared Davidson82545010413861159621225.47%33165420.171513282600009344.79%51.2600
4William Stromgren8232518330141187719016.84%21135716.555491401105239.34%11.2200
5Ivan Miroshnichenko762542679291087519612.76%27107514.15612181500012349.35%11.2512

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
1Brian Elliott82541780.8693.4548254327721091094600.66715
2Arturs Silovs2611920.8823.4313460077653354220.6673
3Jakub Skarek40300.7225.94101001036130000

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
2024824620057313852899641289012012061426441181104530179147321163856181003039114514113262874798487042215771284217582617528.74%762567.11%2975169857.42%801137358.34%860138662.05%170289415957651660858
Total Saison régulière824620057313852899641289012012061426441181104530179147321163856181003039114514113262874798487042215771284217582617528.74%762567.11%2975169857.42%801137358.34%860138662.05%170289415957651660858
Séries éliminatoires
202410460000041356523000002420452300000171528416810900317210287879710212948511520738821.05%10190.00%012121955.25%9419149.21%9415361.44%21111018292206105
Total Séries éliminatoires10460000041356523000002420452300000171528416810900317210287879710212948511520738821.05%10190.00%012121955.25%9419149.21%9415361.44%21111018292206105

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
1Laurent Dauphin10812203515203821.05%522522.57156800002162.66%11.7700
2Matej Blumel1069153012125012.00%322622.64123700010062.50%01.3200
3Chase Priskie10099-751217150%1426526.540222000000100.00%00.6800
4Luke Philp10628-20762227.27%113013.04000000001035.38%01.2300
5Benoit-Olivier Groulx10448-5223202714.81%518018.06112200011052.21%00.8900

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
1Brian Elliott104510.8813.5159900352941480000