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Monsters
GP: 17 | W: 12 | L: 4 | OTL: 1 | P: 25
GF: 51 | GA: 43 | PP%: 22.22% | PK%: 74.36%
DG: David Côté Trudeau | Morale : 75 | Moyenne d’équipe : 61
Prochains matchs #230 vs Crunch

Centre de jeu
Wolf Pack
10-5-2, 22pts
4
FINAL
2 Monsters
12-4-1, 25pts
Team Stats
L1SéquenceW1
7-1-1Fiche domicile6-2-0
3-4-1Fiche domicile6-2-1
6-3-1Derniers 10 matchs8-1-1
2.35Buts par match 3.00
2.24Buts contre par match 2.53
17.54%Pourcentage en avantage numérique22.22%
88.33%Pourcentage en désavantage numérique74.36%
Monsters
12-4-1, 25pts
4
FINAL
2 Rocket
6-8-3, 15pts
Team Stats
W1SéquenceL1
6-2-0Fiche domicile3-6-0
6-2-1Fiche domicile3-2-3
8-1-1Derniers 10 matchs3-5-2
3.00Buts par match 2.71
2.53Buts contre par match 3.18
22.22%Pourcentage en avantage numérique18.92%
74.36%Pourcentage en désavantage numérique81.48%
Crunch
5-10-1, 11pts
2026-10-29
Monsters
12-4-1, 25pts
Statistiques d’équipe
L2SéquenceW1
2-6-1Fiche domicile6-2-0
3-4-0Fiche visiteur6-2-1
2-7-110 derniers matchs8-1-1
2.81Buts par match 3.00
3.69Buts contre par match 3.00
10.00%Pourcentage en avantage numérique22.22%
84.09%Pourcentage en désavantage numérique74.36%
Monsters
12-4-1, 25pts
2026-10-31
Islanders
6-8-2, 14pts
Statistiques d’équipe
W1SéquenceL1
6-2-0Fiche domicile4-2-2
6-2-1Fiche visiteur2-6-0
8-1-110 derniers matchs4-5-1
3.00Buts par match 2.50
2.53Buts contre par match 2.50
22.22%Pourcentage en avantage numérique12.00%
74.36%Pourcentage en désavantage numérique75.00%
Canucks
4-10-3, 11pts
2026-11-03
Monsters
12-4-1, 25pts
Statistiques d’équipe
OTL1SéquenceW1
2-5-1Fiche domicile6-2-0
2-5-2Fiche visiteur6-2-1
1-7-210 derniers matchs8-1-1
2.24Buts par match 3.00
3.06Buts contre par match 3.00
10.00%Pourcentage en avantage numérique22.22%
83.67%Pourcentage en désavantage numérique74.36%
Meneurs d'équipe
Jeff MalottButs
Jeff Malott
9
Seamus CaseyPasses
Seamus Casey
14
Jeff MalottPoints
Jeff Malott
15
Jeremy DaviesPlus/Moins
Jeremy Davies
6
Jakub DobesVictoires
Jakub Dobes
12
Jakub DobesPourcentage d’arrêts
Jakub Dobes
0.91

Statistiques d’équipe
Buts pour
51
3.00 GFG
Tirs pour
501
29.47 Avg
Pourcentage en avantage numérique
22.2%
12 GF
Début de zone offensive
40.4%
Buts contre
43
2.53 GAA
Tirs contre
476
28.00 Avg
Pourcentage en désavantage numérique
74.4%%
10 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralDavid Côté Trudeau
EntraîneurJohn Gruden
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,951
Billets de saison0


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 70
Espoirs26


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
1Jeff MalottX100.0081497068928385656264636765707207566N0303776,000$
2Isak RosenX100.00613695697185876664636762696365075650231894,167$
3Luca Del Bel BelluzX100.00633795687484876670676462686465075650222859,999$
4Zach Aston-ReeseX100.00784283697880856358616068627473075650321775,000$
5Rory KerinsX100.00613591676585846668696461656466075640243775,000$
6Eduards TralmaksX100.0079399363888371596158675966697107564N0292800,000$
7Matthew HighmoreX100.0069369264717885626560566859707207563N0303800,000$
8Viljami Marjala (R)X100.00613791647081876373695961626365075630233872,500$
9Benjamin BerardX100.0064399162738372585455665763676907562N0273777,000$
10Hudson FaschingX100.00733994588678815753555659547173075610312800,000$
11Justin PearsonX100.00653983587478835553575659546870075600282800,000$
12Roman AhcanX100.00633973606380855753556054596769075600272800,000$
13Seamus CaseyX100.00603691686780736630686763556264075640222950,000$
14Jaycob MegnaX100.0081728760958086573054526946747607563N0333800,000$
15Jeremy DaviesX100.00593974636879876130675658497072075620292800,000$
16Matt BenningX100.0072407962817675593057526848747307562N0323800,000$
17Dysin MayoX100.00634269617288825830635556477072075610302800,000$
18Artem DudaX100.00663988617573785830625457466264075600222950,000$
Rayé
1Riley BezeauX100.00634753557270685452535657546466075570242800,000$
2Justin NachbaurX100.00746250538262655154505255536668075560261775,000$
3Matt BrownX100.00583695536769635255515054526769075560271775,000$
4Roman KinalX100.00693983537862685230505154456870075570281775,000$
5Derek DaschkeX100.00703795537960645130525054456870075570281775,000$
6Christian FeltonX100.00653695527463645130505053456668075560261775,000$
7Braden DoyleX100.00574456586564625430505056456567075550251775,000$
MOYENNE D’ÉQUIPE100.0067418361757677584858576055676907561
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
1Jakub Dobes100.0088858189878688878688876573075720251965,000$
2Cayden Primeau100.007986828478777978777978677707567N02731,010,101$
Rayé
1Jackson Parsons100.006976727868676968676968626707561N02121,999,999$
2Talyn Boyko100.0066726894656466656466656471075600233775,000$
3Scott Ratzlaff (R)100.0066767375656466656466656165075600213835,000$
MOYENNE D’ÉQUIPE100.007479758473727473727473647107564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Gruden70697167857966USA551850,000$


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
1Jeff MalottMonsters (CBJ)LW179615580673859194315.25%537021.7712311450000212245.45%4400000.8100000230
2Seamus CaseyMonsters (CBJ)D17114154001331368232.78%2341224.270551647000030100%000000.7300000102
3Luca Del Bel BelluzMonsters (CBJ)C17581320066744103211.36%936121.281017460001402049.68%46700000.7200000211
4Viljami MarjalaMonsters (CBJ)C1721113-160192616121312.50%1130417.93123531000001048.98%4900000.8500000010
5Eduards TralmaksMonsters (CBJ)LW173912-1100281725161512.00%334120.072575460000330045.56%9000000.7000000010
6Isak RosenMonsters (CBJ)RW17551030019337018447.14%438222.5030318480000152057.14%2800000.5200000120
7Jaycob MegnaMonsters (CBJ)D17369310061222871710.71%2940824.042241747000029100%000000.4400000110
8Jeremy DaviesMonsters (CBJ)D17369660211822101113.64%1635821.111121046000029100%000000.5000000100
9Matt BenningMonsters (CBJ)D1709961204518191090%1635620.990001146000027000%000000.5000000001
10Matthew HighmoreMonsters (CBJ)C17639300225049143812.24%132319.0600000000091048.65%37000000.5600000021
11Rory KerinsMonsters (CBJ)C17426-32022231163012.90%122813.4100000000001046.64%26800000.5300000001
12Hudson FaschingMonsters (CBJ)RW173253808171892116.67%232018.82011346000000061.90%2100000.3100000001
13Ondrej PalatBlue JacketsLW53254009121942315.79%112024.06112715000050045.45%1100000.8300000101
14Dysin MayoMonsters (CBJ)D17044-41402736130%1225114.780000100001000%000000.3200000000
15Benjamin BerardMonsters (CBJ)LW17213140713237158.70%224214.2800003000000052.17%2300000.2500000100
16Zach Aston-ReeseMonsters (CBJ)LW17202-34038273514295.71%322713.3900000000000066.67%1500000.1800000010
17Artem DudaMonsters (CBJ)D13000000110000%1151.190000000008000%00000000000000
18Justin PearsonMonsters (CBJ)LW16000000000000%030.220000000001000%00000000000000
19Roman AhcanMonsters (CBJ)LW17000000021110%0160.9900001000000022.22%90000000000000
Statistiques d’équipe totales ou en moyenne30651881392884039341750117636710.18%139504616.49121931110476000125612248.75%139500000.550000010128
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
1Jakub DobesMonsters (CBJ)1712410.9102.521025004347602000170210
Statistiques d’équipe totales ou en moyenne1712410.9102.52102500434760200170210


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
Artem DudaMonsters (CBJ)D222004-04-08RUSNo187 Lbs6 ft1NoNoFantasy DraftNoNo22025-07-04FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Benjamin BerardMonsters (CBJ)LW271999-02-13CANNo192 Lbs6 ft0YesNoAssign ManuallyNoNo32026-07-03FalseFalsePro & Farm777,000$0$0$No777,000$777,000$-------777,000$777,000$-------NoNo-------Lien
Braden DoyleMonsters (CBJ)D252001-08-24USANo162 Lbs5 ft11NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Cayden PrimeauMonsters (CBJ)G271999-08-11USANo205 Lbs6 ft3YesNoAssign ManuallyNoNo32026-07-10FalseFalsePro & Farm1,010,101$0$0$No1,010,101$1,010,101$-------1,010,101$1,010,101$-------NoNo-------Lien / Lien NHL
Christian FeltonMonsters (CBJ)D262000-02-04USANo185 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Derek DaschkeMonsters (CBJ)D281998-01-06USANo194 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Dysin MayoMonsters (CBJ)D301996-08-17CANNo190 Lbs6 ft0NoNoAssign ManuallyNoNo22026-01-20FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Eduards TralmaksMonsters (CBJ)LW291997-02-17LVANo209 Lbs6 ft4YesNoAssign ManuallyNoNo22026-06-26FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Hudson FaschingMonsters (CBJ)RW311995-07-28USANo209 Lbs6 ft3NoNoAssign ManuallyNoNo22026-01-20FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Isak RosenMonsters (CBJ)RW232003-03-15SWENo185 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-06FalseFalsePro & Farm894,167$0$0$No---------------------------Lien / Lien NHL
Jackson ParsonsMonsters (CBJ)G212004-11-23CANNo203 Lbs6 ft1YesNoAssign ManuallyNoNo22026-06-26FalseFalsePro & Farm1,999,999$0$0$No1,999,999$--------1,999,999$--------No--------Lien
Jakub DobesMonsters (CBJ)G252001-05-27CZENo215 Lbs6 ft4NoNoFantasy DraftNoNo12026-05-28FalseFalsePro & Farm965,000$0$0$No---------------------------Lien / Lien NHL
Jaycob MegnaMonsters (CBJ)D331992-12-10USANo214 Lbs6 ft6YesNoAssign ManuallyNoNo32026-07-10FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Jeff MalottMonsters (CBJ)LW301996-08-07CANNo215 Lbs6 ft5YesNoAssign ManuallyNoNo32026-07-03FalseFalsePro & Farm776,000$0$0$No776,000$776,000$-------776,000$776,000$-------NoNo-------Lien / Lien NHL
Jeremy DaviesMonsters (CBJ)D291996-12-04CANNo180 Lbs5 ft11NoNoAssign ManuallyNoNo22026-01-20FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Justin NachbaurMonsters (CBJ)RW262000-03-04CANNo212 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Justin PearsonMonsters (CBJ)LW281998-05-17USANo185 Lbs6 ft1NoNoAssign ManuallyNoNo22026-01-20FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Luca Del Bel BelluzMonsters (CBJ)C222003-11-10CANNo185 Lbs6 ft1NoNoFantasy DraftNoNo22025-07-05FalseFalsePro & Farm859,999$0$0$No859,999$--------859,999$--------No--------Lien / Lien NHL
Matt BenningMonsters (CBJ)D321994-05-25CANNo220 Lbs6 ft1YesNoAssign ManuallyNoNo32026-07-10FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Matt BrownMonsters (CBJ)LW271999-08-09USANo190 Lbs5 ft9NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Matthew HighmoreMonsters (CBJ)C301996-02-27CANNo186 Lbs5 ft11YesNoAssign ManuallyNoNo32026-07-10FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Riley BezeauMonsters (CBJ)RW242002-05-04CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22026-01-20FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Roman AhcanMonsters (CBJ)LW271999-03-24USANo170 Lbs5 ft9NoNoAssign ManuallyNoNo22026-01-20FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Roman KinalMonsters (CBJ)D281998-07-20USANo190 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Rory KerinsMonsters (CBJ)C242002-04-12CANNo175 Lbs5 ft10NoNoFantasy DraftNoNo32026-05-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Scott RatzlaffMonsters (CBJ)G212005-03-09CANYes188 Lbs6 ft1NoNoDraftNoNo32026-05-25FalseFalsePro & Farm835,000$0$0$No835,000$835,000$-------835,000$835,000$-------NoNo-------Lien
Seamus CaseyMonsters (CBJ)D222004-01-08USANo181 Lbs5 ft10NoNoFantasy DraftNoNo22025-07-04FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Talyn BoykoMonsters (CBJ)G232002-10-16CANNo206 Lbs6 ft6NoNoFantasy DraftNoNo32026-05-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Viljami MarjalaMonsters (CBJ)C232003-01-29FINYes178 Lbs6 ft0NoNoDraftNoNo32026-06-30FalseFalsePro & Farm872,500$0$0$No872,500$872,500$-------872,500$872,500$-------NoNo-------Lien
Zach Aston-ReeseMonsters (CBJ)LW321994-08-10USANo203 Lbs6 ft1NoNoFantasy DraftNoNo12025-07-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3026.50193 Lbs6 ft12.03862,159$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Benjamin BerardMatthew HighmoreIsak Rosen40122
2Jeff MalottLuca Del Bel BelluzHudson Fasching30122
3Zach Aston-ReeseRory KerinsEduards Tralmaks20122
4Eduards TralmaksViljami MarjalaJeff Malott10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyJaycob Megna40122
2Matt BenningJeremy Davies30122
3Dysin MayoViljami Marjala20122
4Seamus CaseyJaycob Megna10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Viljami MarjalaEduards TralmaksIsak Rosen60122
2Jeff MalottLuca Del Bel BelluzHudson Fasching40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyJaycob Megna60122
2Matt BenningJeremy Davies40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Luca Del Bel BelluzEduards Tralmaks60122
2Jeff MalottIsak Rosen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyJaycob Megna60122
2Matt BenningJeremy Davies40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jeff Malott60122Seamus CaseyJaycob Megna60122
2Luca Del Bel Belluz40122Matt BenningJeremy Davies40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luca Del Bel BelluzBenjamin Berard60122
2Jeff MalottIsak Rosen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyJaycob Megna60122
2Matt BenningJeremy Davies40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Luca Del Bel BelluzJeff MalottIsak RosenSeamus CaseyJaycob Megna
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Luca Del Bel BelluzJeff MalottIsak RosenSeamus CaseyJaycob Megna
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Benjamin Berard, Roman Ahcan, Jeff MalottBenjamin Berard, Roman AhcanJeff Malott
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dysin Mayo, Matt Benning, Jeremy DaviesDysin MayoMatt Benning, Jeremy Davies
Tirs de pénalité
Viljami Marjala, Eduards Tralmaks, Jeff Malott, Isak Rosen, Luca Del Bel Belluz
Gardien
#1 : Jakub Dobes, #2 : Cayden Primeau
Lignes d’attaque personnalisées en prolongation
Hudson Fasching, Roman Ahcan, Jeff Malott, Isak Rosen, Luca Del Bel Belluz, Zach Aston-Reese, Rory Kerins, Eduards Tralmaks, Viljami Marjala, Benjamin Berard
Lignes de défense personnalisées en prolongation
Seamus Casey, Jaycob Megna, Matt Benning, Jeremy Davies, Dysin Mayo


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
1Bears330000001174220000007431100000043161.000111728001815153831471841646833116665120.00%8275.00%027455949.02%29156751.32%11525744.75%406283404125215108
2Checkers22000000743000000000002200000074341.00071118001815153541471841646662012354125.00%60100.00%027455949.02%29156751.32%11525744.75%406283404125215108
3Comets11000000312000000000001100000031221.0003690018151532614718416462552173133.33%10100.00%027455949.02%29156751.32%11525744.75%406283404125215108
4Crunch1000010034-1000000000001000010034-110.5003690018151533214718416464016619300.00%20100.00%027455949.02%29156751.32%11525744.75%406283404125215108
5Penguins41300000712-52110000056-12020000026-420.25071320001815153114147184164611927221291119.09%11463.64%027455949.02%29156751.32%11525744.75%406283404125215108
6Rocket21001000743100010003211100000042241.00071219001815153621471841646471064410440.00%220.00%027455949.02%29156751.32%11525744.75%406283404125215108
7Wild11000000532110000005320000000000021.00059140018151532414718416462854226350.00%10100.00%027455949.02%29156751.32%11525744.75%406283404125215108
8Wolf Pack301020008802010100067-11000100021140.667814220018151531061471841646682516611218.33%8275.00%027455949.02%29156751.32%11525744.75%406283404125215108
Total1794031005143884202000262249520110025214250.7355188139001815153501147184164647613984393541222.22%391074.36%027455949.02%29156751.32%11525744.75%406283404125215108
_Since Last GM Reset1794031005143884202000262249520110025214250.7355188139001815153501147184164647613984393541222.22%391074.36%027455949.02%29156751.32%11525744.75%406283404125215108
_Vs Conference1684031004640673202000211929520110025214230.719467912500181515347714718416464481348037148918.75%381073.68%027455949.02%29156751.32%11525744.75%406283404125215108
_Vs Division1154020002928163201000181715220100011110140.6362950790018151533291471841646295885627331412.90%28871.43%027455949.02%29156751.32%11525744.75%406283404125215108

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1725W151881395014761398439300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
179431005143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84220002622
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95211002521
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
541222.22%391074.36%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
14718416461815153
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
27455949.02%29156751.32%11525744.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
406283404125215108


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
1 - 2026-09-292Bears3Monsters5WSommaire du match
3 - 2026-10-0123Monsters0Penguins2LSommaire du match
4 - 2026-10-0228Monsters2Wolf Pack1WXSommaire du match
6 - 2026-10-0442Monsters2Penguins4LSommaire du match
8 - 2026-10-0658Wild3Monsters5WSommaire du match
10 - 2026-10-0872Monsters4Bears3WSommaire du match
12 - 2026-10-1085Penguins5Monsters3LSommaire du match
14 - 2026-10-12100Monsters3Checkers2WSommaire du match
15 - 2026-10-13113Penguins1Monsters2WSommaire du match
17 - 2026-10-15131Wolf Pack3Monsters4WXSommaire du match
19 - 2026-10-17142Monsters4Checkers2WSommaire du match
20 - 2026-10-18150Monsters3Comets1WSommaire du match
22 - 2026-10-20165Bears1Monsters2WSommaire du match
23 - 2026-10-21178Rocket2Monsters3WXSommaire du match
25 - 2026-10-23194Monsters3Crunch4LXSommaire du match
27 - 2026-10-25209Wolf Pack4Monsters2LSommaire du match
29 - 2026-10-27223Monsters4Rocket2WSommaire du match
31 - 2026-10-29230Crunch-Monsters-
33 - 2026-10-31250Monsters-Islanders-
36 - 2026-11-03265Canucks-Monsters-
37 - 2026-11-04277Rocket-Monsters-
40 - 2026-11-07295Monsters-Wranglers-
41 - 2026-11-08303Monsters-Condors-
43 - 2026-11-10319Monsters-Senators-
45 - 2026-11-12336Wranglers-Monsters-
47 - 2026-11-14345Barracuda-Monsters-
49 - 2026-11-16360Monsters-Islanders-
51 - 2026-11-18376IceHogs-Monsters-
64 - 2026-12-01402Stars-Monsters-
66 - 2026-12-03415Monsters-Bears-
67 - 2026-12-04425Monsters-Moose-
69 - 2026-12-06438Griffins-Monsters-
71 - 2026-12-08456Monsters-Silver Knights-
72 - 2026-12-09467Monsters-Griffins-
74 - 2026-12-11481Thunderbirds-Monsters-
76 - 2026-12-13497Moose-Monsters-
77 - 2026-12-14503Monsters-Crunch-
79 - 2026-12-16522Senators-Monsters-
81 - 2026-12-18542Wolf Pack-Monsters-
82 - 2026-12-19548Monsters-Phantoms-
94 - 2026-12-31560Monsters-Canucks-
96 - 2027-01-02575Marlies-Monsters-
99 - 2027-01-05592Bears-Monsters-
100 - 2027-01-06602Monsters-Stars-
102 - 2027-01-08621Monsters-Barracuda-
104 - 2027-01-10637Monsters-Phantoms-
105 - 2027-01-11646Eagles-Monsters-
107 - 2027-01-13660Islanders-Monsters-
109 - 2027-01-15680Monsters-Wolf Pack-
110 - 2027-01-16689Monsters-Admirals-
112 - 2027-01-18705Wild-Monsters-
115 - 2027-01-21716Condors-Monsters-
117 - 2027-01-23729Monsters-IceHogs-
119 - 2027-01-25748Islanders-Monsters-
120 - 2027-01-26758Monsters-Reign-
122 - 2027-01-28769Monsters-Wild-
123 - 2027-01-29773Bruins-Monsters-
126 - 2027-02-01804Silver Knights-Monsters-
129 - 2027-02-04818Admirals-Monsters-
131 - 2027-02-06837Monsters-Checkers-
132 - 2027-02-07846Monsters-Thunderbirds-
134 - 2027-02-09866Wild-Monsters-
136 - 2027-02-11880Comets-Monsters-
137 - 2027-02-12887Monsters-Bears-
139 - 2027-02-14904Bears-Monsters-
140 - 2027-02-15913Monsters-Eagles-
142 - 2027-02-17927Monsters-Penguins-
143 - 2027-02-18937Monsters-Bruins-
145 - 2027-02-20950Gulls-Monsters-
148 - 2027-02-23974Reign-Monsters-
150 - 2027-02-25989Monsters-Wolf Pack-
152 - 2027-02-271003Penguins-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2027-03-011021Checkers-Monsters-
156 - 2027-03-031035Monsters-Penguins-
157 - 2027-03-041043Phantoms-Monsters-
160 - 2027-03-071064Phantoms-Monsters-
162 - 2027-03-091080Monsters-Comets-
165 - 2027-03-121095Comets-Monsters-
166 - 2027-03-131105Monsters-Comets-
168 - 2027-03-151118Monsters-Gulls-
170 - 2027-03-171130Penguins-Monsters-
172 - 2027-03-191142Monsters-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance15,7277,881
Assistance PCT98.29%98.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2951 - 98.37% 79,403$635,227$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
577,403$ 2,586,477$ 2,586,477$ 850,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 435,738$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,620,311$ 145 19,750$ 2,863,750$




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