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Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Paul-André Desrochers | Morale : 50 | Moyenne d’équipe : 58

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPaul-André Desrochers
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 50
Espoirs6


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique50-32-6 (0.568%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1 - 4 (0.200%)
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
1Justin Sourdif (R)X100.00574663695964626443625858645150050600211847,500$
2Dylan Peterson (R)X100.00614857626362616142555756605150050570222867,500$
3Aleksandr Kisakov (R)X100.00544071665659565640525252585050050550201859,167$
4Daniel Torgersson (R)X100.00654071587261595540525153555150050550211867,500$
5Mike ReillyX100.00594075727683787140666367688272050690301975,000$
6Lucas CarlssonX100.00584368716267666540606467675550050630261800,000$
7Matthew Robertson (R)X100.00614664656765646440625365615250050610221797,500$
8Hardy Häman AktellX100.00624269656565635940555266595350050600251900,000$
9Daniil Zhuravlyov (R)X100.00504066665750495038464558555150050540231600,000$
Rayé
1Ben Jones (R)X100.007048747371737166556160646760530506402400$
2Olle Lycksell (R)X100.005740747365746365456460606657500506202400$
3Ty Mueller (R)X100.00624167676162616255625764625050050600203870,000$
4Curtis Hall (R)X100.006340715969625955515051555553500505502300$
5Josh Filmon (R)X100.00584066616058565440535354565050050550193838,333$
6Jackson Hallum (R)XXX100.005255545455515152545151545355550505302100$
7Alexander Pashin (R)XXX100.00494468665551515238464651565050050520211826,667$
8Prokhor Poltapov (R)X100.00454545454545454545454545454545050460203825,000$
9Brayden Pachal (R)X100.007768627481827971406764777062530507102400$
10Alex Alexeyev (R)X100.006240787190836967406161696663530506802300$
11Caleb JonesX100.006442756869747265406356696375560506502600$
12Vladislav Kolyachonok (R)X100.006341777275756866406062666659530506502200$
13Tristan Luneau (R)X100.00604167676261606440635965635050050610193865,000$
14Ian Moore (R)X100.00614062626359575640545461575150050580211620,000$
15Jesse Pulkkinen (R)X100.00624066596655535540545359565050050570183880,833$
16Aleksi Malinen (R)X100.00373737373737373737373737373737050380203620,000$
MOYENNE D’ÉQUIPE100.0059436664646360594356556059555105059
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
1Artur Akhtyamov (R)100.0068626260646668666665595150050590212851,667$
Rayé
1Filip Larsson100.0065606060626365626463525450050570251750,000$
2Cameron Whitehead (R)100.0060575759585656545658545050050530203875,000$
MOYENNE D’ÉQUIPE100.006460606061626361626255525005056
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
Aleksandr KisakovMonsters (Col)LW202002-11-01RUSYes163 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien
Aleksi MalinenMonsters (Col)D202003-05-26FINYes198 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Alex AlexeyevMonsters (Col)D231999-11-15RUSYes229 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Alexander PashinMonsters (Col)C/LW/RW212002-01-28RUSYes154 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm826,667$0$0$No---------------------------Lien
Artur AkhtyamovMonsters (Col)G212001-10-31RUSYes170 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm851,667$0$0$No851,667$--------851,667$--------No--------Lien
Ben JonesMonsters (Col)C241999-02-26CANYes187 Lbs6 ft0NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Brayden PachalMonsters (Col)D241999-08-23CANYes202 Lbs6 ft2NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Caleb JonesMonsters (Col)D261997-06-06USANo194 Lbs6 ft1NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Cameron WhiteheadMonsters (Col)G202003-06-13CANYes165 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm875,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien
Curtis HallMonsters (Col)C232000-04-26USAYes209 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Daniel TorgerssonMonsters (Col)LW212002-01-26SWEYes220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm867,500$0$0$No---------------------------Lien
Daniil ZhuravlyovMonsters (Col)D232000-04-08RUSYes163 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Dylan PetersonMonsters (Col)C222001-08-02USAYes192 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Lien
Filip LarssonMonsters (Col)G251998-08-17SWENo194 Lbs6 ft2NoNoFree AgentYesNo12024-09-06FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Hardy Häman Aktell (contrat à 1 volet)Monsters (Col)D251998-07-04SWENo198 Lbs6 ft3NoNoN/AYesNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ian Moore (contrat à 1 volet)Monsters (Col)D212002-01-04USAYes194 Lbs6 ft3NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Jackson Hallum (contrat à 1 volet)Monsters (Col)C/LW/RW212002-09-08USAYes170 Lbs6 ft0NoNoFree AgentNoNo02024-09-28FalseFalsePro & Farm0$0$No---------------------------Lien
Jesse PulkkinenMonsters (Col)D182004-12-27FINYes203 Lbs6 ft6NoNoDraftNoNo32025-07-10FalseFalsePro & Farm880,833$0$0$No880,833$880,833$-------880,833$880,833$-------NoNo-------Lien
Josh FilmonMonsters (Col)LW192004-03-18CANYes170 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm838,333$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien
Justin SourdifMonsters (Col)RW212002-03-24CANYes172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm847,500$0$0$No---------------------------Lien
Lucas CarlssonMonsters (Col)D261997-07-05SWENo190 Lbs6 ft0NoNoFree AgentYesNo12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Matthew RobertsonMonsters (Col)D222001-03-09CANYes201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm797,500$0$0$No---------------------------Lien
Mike Reilly (contrat à 1 volet)Monsters (Col)D301993-07-13USANo191 Lbs6 ft2NoNoFree AgentYesNo12024-09-23FalseFalsePro & Farm975,000$55,000$55,000$No---------------------------Lien
Olle LycksellMonsters (Col)RW241999-08-24SWEYes163 Lbs5 ft10NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Prokhor PoltapovMonsters (Col)RW202003-02-01RUSYes176 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Tristan LuneauMonsters (Col)D192004-01-12CANYes190 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm865,000$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien
Ty MuellerMonsters (Col)C202003-02-26CANYes185 Lbs5 ft11NoNoDraftNoNo32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Vladislav KolyachonokMonsters (Col)D222001-05-26BLRYes195 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2822.18187 Lbs6 ft21.29583,452$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aleksandr Kisakov40122
2Daniel TorgerssonJustin Sourdif30122
3Dylan PetersonMatthew Robertson20122
4Dylan Peterson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike Reilly40122
230122
3Lucas Carlsson20122
4Matthew RobertsonHardy Häman Aktell10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aleksandr Kisakov60122
2Daniel TorgerssonJustin Sourdif40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike Reilly60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Justin SourdifAleksandr Kisakov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike Reilly60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Mike Reilly60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Justin SourdifAleksandr Kisakov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike Reilly60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aleksandr KisakovMike Reilly
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aleksandr KisakovMike Reilly
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Daniel Torgersson, Dylan Peterson, Daniel TorgerssonDylan Peterson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniil Zhuravlyov, Lucas Carlsson, Daniil ZhuravlyovLucas Carlsson,
Tirs de pénalité
, , Justin Sourdif, Aleksandr Kisakov, Daniel Torgersson
Gardien
#1 : , #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,384,167$ 1,384,167$ 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
1Mike Reilly792910313210471131333099.39%119213927.092136576502215320%11.2300
2Marian Studenic4949601092441997625419.29%30119724.4513223538314118053.76%31.8201
3Justin Sourdif79475710409512410121821.56%29129616.412226486500017246.01%21.6001
4Caleb Jones79247910312551121632758.73%132213627.041426404514513120%10.9600
5Vasily Podkolzin52483886874594420922.97%26105320.261320333200012156.94%61.6311

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
1Dustin Tokarski78492200.8633.8542501022731999998711.0002
2Jon Gillies10100.7819.774300732210000
3Artur Akhtyamov160700.8085.2243700381981181000

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
202482433206010384341434122170200017916019412115040102051812410038465110351283156138826637689529301623288351119158323512854.47%2518466.53%9875174450.17%756159347.46%667141447.17%167189616667551592799
Total Saison régulière82433206010384341434122170200017916019412115040102051812410038465110351283156138826637689529301623288351119158323512854.47%2518466.53%9875174450.17%756159347.46%667141447.17%167189616667551592799
Séries éliminatoires
2024514000001229-1731200000814-620200000415-112121931005610121394834020354428119526.32%16850.00%1549060.00%5810853.70%438550.59%9746111399154
Total Séries éliminatoires514000001229-1731200000814-620200000415-112121931005610121394834020354428119526.32%16850.00%1549060.00%5810853.70%438550.59%9746111399154

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
1Olle Lycksell5448-44282516.00%311623.36213701111071.43%01.3700
2Ben Jones5347-522161915.79%311823.62022210130058.90%01.1900
3Mike Reilly5134-5079175.88%612725.5012330000000%00.6300
4Caleb Jones5033-528590%512725.4801110000000%00.4700
5Brayden Pachal5112-4986333.33%59318.7910110001000%00.4300

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
1Jon Gillies51400.8585.9125400251761091000