Monsters
GP: 29 | W: 22 | L: 5 | OTL: 2 | P: 46
GF: 129 | GA: 71 | PP%: 20.59% | PK%: 81.82%
DG: Eric Leclerc | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #471 vs Wolves
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Centre de jeu
Monsters
22-5-2, 46pts
6
FINAL
2 Checkers
2-23-3, 7pts
Team Stats
W3StreakL6
9-1-2Home Record0-16-2
13-4-0Away Record2-7-1
8-2-0Last 10 Games0-9-1
4.45Buts par match 3.18
2.45Buts contre par match 5.75
20.59%Pourcentage en avantage numérique10.91%
81.82%Pourcentage en désavantage numérique62.16%
Monsters
22-5-2, 46pts
5
FINAL
2 Bears
9-21-0, 18pts
Team Stats
W3StreakL5
9-1-2Home Record5-11-0
13-4-0Away Record4-10-0
8-2-0Last 10 Games1-9-0
4.45Buts par match 3.07
2.45Buts contre par match 4.13
20.59%Pourcentage en avantage numérique34.57%
81.82%Pourcentage en désavantage numérique74.51%
Monsters
22-5-2, 46pts
2025-12-09
Wolves
18-10-0, 36pts
Statistiques d’équipe
W3SéquenceW4
9-1-2Fiche domicile9-6-0
13-4-0Fiche visiteur9-4-0
8-2-010 derniers matchs6-4-0
4.45Buts par match 4.39
2.45Buts contre par match 3.36
20.59%Pourcentage en avantage numérique24.21%
81.82%Pourcentage en désavantage numérique80.00%
Senators
18-8-2, 38pts
2025-12-11
Monsters
22-5-2, 46pts
Statistiques d’équipe
W1SéquenceW3
8-4-1Fiche domicile9-1-2
10-4-1Fiche visiteur13-4-0
7-3-010 derniers matchs8-2-0
3.96Buts par match 4.45
3.07Buts contre par match 2.45
26.37%Pourcentage en avantage numérique20.59%
78.57%Pourcentage en désavantage numérique81.82%
Silver Knights
2-25-1, 5pts
2025-12-13
Monsters
22-5-2, 46pts
Statistiques d’équipe
L5SéquenceW3
0-14-1Fiche domicile9-1-2
2-11-0Fiche visiteur13-4-0
0-9-110 derniers matchs8-2-0
3.18Buts par match 4.45
6.36Buts contre par match 2.45
19.12%Pourcentage en avantage numérique20.59%
74.24%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Brandon HalversonVictoires
Brandon Halverson
13
Brandon HalversonPourcentage d’arrêts
Brandon Halverson
0.932

Statistiques d’équipe
Buts pour
129
4.45 GFG
Tirs pour
1201
41.41 Avg
Pourcentage en avantage numérique
20.6%
21 GF
Début de zone offensive
44.6%
Buts contre
71
2.45 GAA
Tirs contre
847
29.21 Avg
Pourcentage en désavantage numérique
81.8%
14 GA
Début de la zone défensive
37.0%
Information d’équipe

Directeur généralEric Leclerc
EntraîneurLuke Richardson
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,986
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 80
Espoirs28


Historique d'équipe

Saison actuelle22-5-2 (46PTS)
Historique63-41-15 (0.529%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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 moyen
1Alex Limoges0XX100.00693793667880816473656362666970075650282900,000$
2Brendan Gaunce0XX100.00784082638786836278616465637173075650311995,000$
3Alex Steeves (R)0XXX100.00743882677589856569636661646768075650252874,400$
4Mason Morelli99XX100.00723978657682816456606762666971075650292900,000$
5Christian Fischer0XX100.00774688658378836358646066617268075650282999,999$
6Liam Foudy (R)0XXX100.006537896875878165716659646265670756402511,000,000$
7Matthew Highmore0XXX100.00693694657079816367645968576970075640292900,000$
8Rutger McGroarty (R)0XXX100.00693983667888726462656062646163075630213950,000$
9Anton Wahlberg (R)0XX100.00733994598276735867605759566062075610203950,000$
10Xavier Simoneau (R)0XX100.00644358636572816268615563606466075610241950,000$
11Jake Bean0X100.00613591667686876530675868526967075650271999,999$
12Gustav Lindstrom0X100.00723981647982776230676063516769075640261998,900$
13Kaedan Korczak (R)0X100.00744287648483776230685863526466075640242950,000$
14Ville Ottavainen (R)0X100.00814184649182866330665761496365075640232950,000$
15William Lagesson0X100.007642776283827361306558705069710756402921,283,000$
16Pierre-Olivier Joseph0X100.00683881697786796730685462516667075640261995,000$
Rayé
1Logan Brown (R)0XX100.00875287679681656671686367646769075670273950,000$
2Xavier Parent (R)0XX100.00623973636287856268616062616466075620241950,000$
3Dylan Gambrell0XX100.006037886469798258686059625669710756202911,500,000$
4Graeme Clarke (R)0XX100.00683784596991855760585956556564075610241950,000$
5Nathan Gaucher (R)0XX100.00765069588573845562565759586264075600212950,000$
6Brendan Lemieux0XX100.00787453588077675754565955587170075600291775,000$
7Milo Roelens0XX100.00844373569366675457515558546264075590222900,000$
8Logan Stanley0X100.007484666399867662307154704768670756402731,555,000$
9Aidan Fulp0X100.00814189539063755230555159456567075590252870,000$
10Jesse Pulkkinen (R)0X100.00844394559365605430535059456163075590203950,000$
11Cam McDonald (R)0X100.00553784546462635330525055456466075560243950,000$
MOYENNE D’ÉQUIPE100.0072438262808077615262586256666707563
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 moyen
1Brandon Halverson100.0076827796757476757476756983075670292900,000$
2Remi Poirier (R)100.0077848082767577767577766471075660241950,000$
Rayé
1Gabriel Carriere100.0070757178696870696870696573075620242850,000$
2Victor Ostman (R)100.0069726887686769686769686573075620253950,000$
MOYENNE D’ÉQUIPE100.007378748672717372717372667507564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson78747680847864CAN563750,000$


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
1Alex LimogesMonsters (CBJ)C/LW2918163426601952133307413.53%357819.934262787000038157.58%6600011.1800000341
2Logan BrownMonsters (CBJ)C/LW21122032171557355103267911.65%849823.7404414610001280156.89%62400001.2800001520
3Alex SteevesMonsters (CBJ)C/LW/RW2918133125805245113408615.93%759120.392462087000093068.25%6300011.0501000331
4Brendan GaunceMonsters (CBJ)C/LW29131528221607475104348512.50%760320.8123527830110291060.84%73800000.9311000244
5Jake BeanMonsters (CBJ)D29720271960214959206311.86%3871724.753362995112166100.00%000000.7500000002
6William LagessonMonsters (CBJ)D23621271416052235263911.54%3246320.173692148000036100.00%000001.1600000104
7Mason MorelliMonsters (CBJ)C/LW27111425132204047100376811.00%153920.0013421770000172143.90%4100000.9301000030
8Rutger McGroartyMonsters (CBJ)C/LW/RW2961622126022388924826.74%750517.42011290001150064.15%5300000.8700000003
9Christian FischerMonsters (CBJ)C/RW291012226120604498316310.20%351817.8915615680110322154.67%28900100.8501000122
10Gustav LindstromMonsters (CBJ)D2931821144042343317169.09%3156119.353361359000050000.00%000000.7500000001
11Logan StanleyMonsters (CBJ)D195162110260382127142018.52%2740921.572241670101231100.00%000001.0200000021
12Liam FoudyMonsters (CBJ)C/LW/RW296121842022758423477.14%945115.58000220111600059.26%59400000.8000000201
13Matthew HighmoreMonsters (CBJ)C/LW/RW246814122011317429628.11%141517.290117260002401046.15%2600000.6700000003
14Pierre-Olivier JosephMonsters (CBJ)D2938111210046203041510.00%2240614.010007200000260025.00%400000.5400000001
15Kaedan KorczakMonsters (CBJ)D29189161006530339313.03%2654218.70011926000023100.00%000000.3300000001
16Ville OttavainenMonsters (CBJ)D29088101204012163120.00%1934411.88011419000015000.00%000000.4600000000
17Xavier SimoneauMonsters (CBJ)C/LW111452602011305123.33%215313.9500000000000159.09%2200000.6500000000
18Anton WahlbergMonsters (CBJ)C/LW190223002313350.00%0975.1200000000070057.14%700000.4100000000
19Jesse PulkkinenMonsters (CBJ)D2000200610100.00%22914.840000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne4651262313572391795705666119135685910.58%245842818.13213960234845246849521558.45%252700120.8514001172025
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
1Brandon HalversonMonsters (CBJ)1513200.9321.9791401304410001.0004153300
2Remi PoirierMonsters (CBJ)149320.8992.9284301414060000.00001415100
Statistiques d’équipe totales ou en moyenne2922520.9162.43175702718470001.00042918400


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Aidan FulpMonsters (CBJ)D252000-02-29No216 Lbs6 ft4NoNoNo2Pro & Farm870,000$589,062$870,000$589,062$0$0$No870,000$Lien / Lien NHL
Alex LimogesMonsters (CBJ)C/LW281997-09-16No201 Lbs6 ft1NoNoNo2Pro & Farm900,000$609,375$900,000$609,375$0$0$No900,000$Lien / Lien NHL
Alex SteevesMonsters (CBJ)C/LW/RW251999-12-10Yes202 Lbs6 ft0NoNoNo2Pro & Farm874,400$592,042$874,400$592,042$0$0$No874,400$Lien / Lien NHL
Anton WahlbergMonsters (CBJ)C/LW202005-07-04Yes194 Lbs6 ft3NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Brandon HalversonMonsters (CBJ)G291996-03-29No235 Lbs6 ft5NoNoNo2Pro & Farm900,000$609,375$900,000$609,375$0$0$No900,000$Lien / Lien NHL
Brendan GaunceMonsters (CBJ)C/LW311994-03-25No219 Lbs6 ft3NoNoNo1Pro & Farm995,000$673,698$995,000$673,698$0$0$NoLien / Lien NHL
Brendan LemieuxMonsters (CBJ)LW/RW291996-03-15No215 Lbs6 ft1NoNoNo1Pro & Farm775,000$524,740$775,000$524,740$0$0$NoLien / Lien NHL
Cam McDonaldMonsters (CBJ)D242001-02-03Yes174 Lbs5 ft9NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Christian Fischer (contrat à 1 volet)Monsters (CBJ)C/RW281997-04-15No212 Lbs6 ft2NoNoNo2Pro & Farm999,999$677,083$999,999$677,083$999,999$677,083$No999,999$Lien / Lien NHL
Dylan Gambrell (contrat à 1 volet)Monsters (CBJ)C/RW291996-08-26No185 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$1,015,625$1,500,000$1,015,625$1,500,000$1,015,625$NoLien / Lien NHL
Gabriel CarriereMonsters (CBJ)G242000-11-05No188 Lbs6 ft2NoNoNo2Pro & Farm850,000$575,521$850,000$575,521$0$0$No850,000$Lien / Lien NHL
Graeme ClarkeMonsters (CBJ)LW/RW242001-04-24Yes175 Lbs6 ft0NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Gustav LindstromMonsters (CBJ)D261998-10-20No194 Lbs6 ft2NoNoNo1Pro & Farm998,900$676,339$998,900$676,339$0$0$NoLien / Lien NHL
Jake Bean (contrat à 1 volet)Monsters (CBJ)D271998-06-09No191 Lbs6 ft1NoNoNo1Pro & Farm999,999$677,083$999,999$677,083$999,999$677,083$NoLien / Lien NHL
Jesse PulkkinenMonsters (CBJ)D202004-12-27Yes203 Lbs6 ft6NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Kaedan KorczakMonsters (CBJ)D242001-01-29Yes203 Lbs6 ft3NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Liam Foudy (contrat à 1 volet)Monsters (CBJ)C/LW/RW252000-02-04Yes186 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$677,083$1,000,000$677,083$1,000,000$677,083$NoLien / Lien NHL
Logan BrownMonsters (CBJ)C/LW271998-03-05Yes218 Lbs6 ft6NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Logan Stanley (contrat à 1 volet)Monsters (CBJ)D271998-05-26No231 Lbs6 ft7NoNoYes3Pro & Farm1,555,000$1,052,865$1,555,000$1,052,865$1,555,000$1,052,865$No1,555,000$1,555,000$Lien / Lien NHL
Mason MorelliMonsters (CBJ)C/LW291996-02-01No208 Lbs6 ft0NoNoNo2Pro & Farm900,000$609,375$900,000$609,375$0$0$No900,000$Lien / Lien NHL
Matthew HighmoreMonsters (CBJ)C/LW/RW291996-02-27No186 Lbs5 ft11NoNoNo2Pro & Farm900,000$609,375$900,000$609,375$0$0$No900,000$Lien / Lien NHL
Milo RoelensMonsters (CBJ)C/LW222003-01-16No205 Lbs6 ft6NoNoNo2Pro & Farm900,000$609,375$900,000$609,375$0$0$No900,000$Lien / Lien NHL
Nathan GaucherMonsters (CBJ)C/LW212003-11-06Yes207 Lbs6 ft3NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Pierre-Olivier JosephMonsters (CBJ)D261999-07-01No185 Lbs6 ft2NoNoNo1Pro & Farm995,000$673,698$995,000$673,698$0$0$NoLien / Lien NHL
Remi PoirierMonsters (CBJ)G242001-10-06Yes210 Lbs6 ft2NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Rutger McGroartyMonsters (CBJ)C/LW/RW212004-03-30Yes203 Lbs6 ft1NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Victor OstmanMonsters (CBJ)G252000-10-03Yes205 Lbs6 ft4NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Ville OttavainenMonsters (CBJ)D232002-08-12Yes210 Lbs6 ft5NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
William Lagesson (contrat à 1 volet)Monsters (CBJ)D291996-02-22No211 Lbs6 ft2NoNoYes2Pro & Farm1,283,000$868,698$1,283,000$868,698$1,283,000$868,698$No1,283,000$Lien / Lien NHL
Xavier ParentMonsters (CBJ)C/LW242001-03-23Yes170 Lbs5 ft8NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Xavier SimoneauMonsters (CBJ)C/LW242001-05-19Yes183 Lbs5 ft6NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.45201 Lbs6 ft21.87985,364$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason MorelliChristian FischerAlex Steeves40122
2Alex LimogesBrendan GaunceMatthew Highmore30122
3Rutger McGroartyLiam FoudyXavier Simoneau20122
4Anton WahlbergXavier SimoneauChristian Fischer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanPierre-Olivier Joseph40122
2William LagessonVille Ottavainen30122
3Kaedan KorczakGustav Lindstrom20122
4Jake BeanPierre-Olivier Joseph10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason MorelliChristian FischerAlex Steeves60122
2Alex LimogesBrendan GaunceMatthew Highmore40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanPierre-Olivier Joseph60122
2William LagessonVille Ottavainen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christian FischerMason Morelli60122
2Alex SteevesBrendan Gaunce40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanPierre-Olivier Joseph60122
2William LagessonVille Ottavainen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christian Fischer60122Jake BeanPierre-Olivier Joseph60122
2Mason Morelli40122William LagessonVille Ottavainen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christian FischerMason Morelli60122
2Alex SteevesBrendan Gaunce40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanPierre-Olivier Joseph60122
2William LagessonVille Ottavainen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason MorelliChristian FischerAlex SteevesJake BeanPierre-Olivier Joseph
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason MorelliChristian FischerAlex SteevesJake BeanPierre-Olivier Joseph
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Liam Foudy, Rutger McGroarty, Anton WahlbergLiam Foudy, Rutger McGroartyAnton Wahlberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaedan Korczak, Gustav Lindstrom, William LagessonKaedan KorczakGustav Lindstrom, William Lagesson
Tirs de pénalité
Christian Fischer, Mason Morelli, Alex Steeves, Brendan Gaunce, Alex Limoges
Gardien
#1 : Brandon Halverson, #2 : Remi Poirier
Lignes d’attaque personnalisées en prolongation
Christian Fischer, Mason Morelli, Alex Steeves, Brendan Gaunce, Alex Limoges, Matthew Highmore, Matthew Highmore, Liam Foudy, Rutger McGroarty, Xavier Simoneau, Anton Wahlberg
Lignes de défense personnalisées en prolongation
Jake Bean, Pierre-Olivier Joseph, William Lagesson, Ville Ottavainen, Kaedan Korczak


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
1Admirals11000000734000000000001100000073421.0007132000445129558407391385222674352150.00%2150.00%0672113059.47%54293857.78%27746859.19%818597572194366197
2Americans11000000532000000000001100000053221.00058130044512952840739138522331410254250.00%4175.00%0672113059.47%54293857.78%27746859.19%818597572194366197
3Bears32000100161061000010056-122000000114750.83316304600445129511740739138522872622481317.69%8275.00%0672113059.47%54293857.78%27746859.19%818597572194366197
4Checkers11000000624000000000001100000062421.00061218004451295694073913852232110222150.00%000.00%0672113059.47%54293857.78%27746859.19%818597572194366197
5Comets11000000624000000000001100000062421.00061117004451295334073913852227710303133.33%5180.00%0672113059.47%54293857.78%27746859.19%818597572194366197
6Condors21100000642110000004131010000023-120.5006915004451295724073913852258148559222.22%40100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
7Crunch11000000514110000005140000000000021.00059140044512953040739138522284226400.00%10100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
8Devils2010100067-1100010004311010000024-220.500612180044512958740739138522601510445120.00%3233.33%0672113059.47%54293857.78%27746859.19%818597572194366197
9Eagles11000000624110000006240000000000021.0006121800445129549407391385221856228112.50%30100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
10Firebirds11000000826000000000001100000082621.0008162400445129543407391385223251222100.00%40100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
11Griffins220000001257110000006331100000062441.00012213300445129511640739138522722310585120.00%50100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
12Marlies31000110981200001105501100000043150.83391423004451295122407391385227427185614321.43%9277.78%0672113059.47%54293857.78%27746859.19%818597572194366197
13Moose10001000431000000000001000100043121.0004812004451295394073913852232144283133.33%20100.00%1672113059.47%54293857.78%27746859.19%818597572194366197
14Penguins2020000069-31010000023-11010000046-200.0006121800445129565407391385226921146310330.00%7357.14%0672113059.47%54293857.78%27746859.19%818597572194366197
15Rocket11000000422110000004220000000000021.000481200445129536407391385223081431100.00%7185.71%1672113059.47%54293857.78%27746859.19%818597572194366197
16Sound Tigers1010000002-2000000000001010000002-200.0000000044512953740739138522219725200.00%10100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
17Stars11000000505000000000001100000050521.0005914014451295344073913852228146117342.86%30100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
18Thunderbirds11000000844110000008440000000000021.000814220044512955440739138522354426100.00%2150.00%0672113059.47%54293857.78%27746859.19%818597572194366197
19Wild11000000716000000000001100000071621.000711180044512954940739138522308224100.00%10100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
20Wolf Pack10001000101100010001010000000000021.00012301445129532407391385222281032200.00%30100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
21Wranglers10001000211000000000001000100021121.0002350044512953140739138522333623500.00%30100.00%0672113059.47%54293857.78%27746859.19%818597572194366197
Total291750421012971581261022105030201711402000794138460.7931292343630244512951201407391385228472471797061022120.59%771481.82%2672113059.47%54293857.78%27746859.19%818597572194366197
_Since Last GM Reset291750421012971581261022105030201711402000794138460.7931292343630244512951201407391385228472471797061022120.59%771481.82%2672113059.47%54293857.78%27746859.19%818597572194366197
_Vs Conference189402210704921931022103223996300000382612260.7227012819801445129573940739138522528166117430621219.35%481177.08%1672113059.47%54293857.78%27746859.19%818597572194366197
_Vs Division92402100292814010210012120523000001716190.50029568501445129533840739138522259796321232515.63%22768.18%0672113059.47%54293857.78%27746859.19%818597572194366197

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2946W3129234363120184724717970602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
29175421012971
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
126122105030
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1711420007941
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1022120.59%771481.82%2
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
407391385224451295
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
672113059.47%54293857.78%27746859.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
818597572194366197


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
3 - 2025-10-0916Monsters7Admirals3AWSommaire du match
5 - 2025-10-1133Monsters7Wild1AWSommaire du match
7 - 2025-10-1345Devils3Monsters4BWXSommaire du match
10 - 2025-10-1666Eagles2Monsters6BWSommaire du match
12 - 2025-10-1882Crunch1Monsters5BWSommaire du match
15 - 2025-10-21106Monsters5Stars0AWSommaire du match
18 - 2025-10-24124Bears6Monsters5BLXSommaire du match
19 - 2025-10-25134Monsters4Penguins6ALSommaire du match
22 - 2025-10-28153Monsters5Americans3AWSommaire du match
23 - 2025-10-29166Marlies4Monsters3BLXSommaire du match
26 - 2025-11-01189Thunderbirds4Monsters8BWSommaire du match
27 - 2025-11-02195Monsters0Sound Tigers2ALSommaire du match
30 - 2025-11-05215Monsters2Wranglers1AWXSommaire du match
33 - 2025-11-08241Monsters6Comets2AWSommaire du match
35 - 2025-11-10254Monsters2Condors3ALSommaire du match
36 - 2025-11-11264Monsters8Firebirds2AWSommaire du match
38 - 2025-11-13274Condors1Monsters4BWSommaire du match
40 - 2025-11-15290Wolf Pack0Monsters1BWXSommaire du match
42 - 2025-11-17305Rocket2Monsters4BWSommaire du match
43 - 2025-11-18311Monsters4Moose3AWXSommaire du match
45 - 2025-11-20319Monsters4Marlies3AWSommaire du match
47 - 2025-11-22335Monsters6Griffins2AWSommaire du match
49 - 2025-11-24356Monsters6Bears2AWSommaire du match
51 - 2025-11-26369Marlies1Monsters2BWXXSommaire du match
53 - 2025-11-28388Penguins3Monsters2BLSommaire du match
56 - 2025-12-01406Monsters2Devils4ALSommaire du match
59 - 2025-12-04431Griffins3Monsters6BWSommaire du match
61 - 2025-12-06442Monsters6Checkers2AWSommaire du match
62 - 2025-12-07459Monsters5Bears2AWSommaire du match
64 - 2025-12-09471Monsters-Wolves-
66 - 2025-12-11486Senators-Monsters-
68 - 2025-12-13502Silver Knights-Monsters-
71 - 2025-12-16524Gulls-Monsters-
73 - 2025-12-18539Wild-Monsters-
75 - 2025-12-20560Monsters-Gulls-
77 - 2025-12-22574Monsters-Reign-
83 - 2025-12-28602Sound Tigers-Monsters-
84 - 2025-12-29606Monsters-Senators-
86 - 2025-12-31627Devils-Monsters-
89 - 2026-01-03646Americans-Monsters-
90 - 2026-01-04658Penguins-Monsters-
92 - 2026-01-06675Monsters-Barracuda-
94 - 2026-01-08692Monsters-Silver Knights-
96 - 2026-01-10699Monsters-Eagles-
97 - 2026-01-11714Monsters-Roadrunners-
99 - 2026-01-13728Wranglers-Monsters-
101 - 2026-01-15743Comets-Monsters-
103 - 2026-01-17760Monsters-Penguins-
106 - 2026-01-20782Senators-Monsters-
108 - 2026-01-22797Stars-Monsters-
110 - 2026-01-24814Crunch-Monsters-
112 - 2026-01-26828Reign-Monsters-
114 - 2026-01-28840Phantoms-Monsters-
116 - 2026-01-30858Monsters-IceHogs-
117 - 2026-01-31868Monsters-Thunderbirds-
120 - 2026-02-03886Monsters-Devils-
121 - 2026-02-04894IceHogs-Monsters-
143 - 2026-02-26918Monsters-Bruins-
145 - 2026-02-28938Sound Tigers-Monsters-
147 - 2026-03-02953Monsters-Wolf Pack-
148 - 2026-03-03963Admirals-Monsters-
150 - 2026-03-05978Checkers-Monsters-
152 - 2026-03-07995Roadrunners-Monsters-
155 - 2026-03-101015Monsters-Crunch-
157 - 2026-03-121031Monsters-Checkers-
159 - 2026-03-141052Monsters-Phantoms-
162 - 2026-03-171070Wolves-Monsters-
164 - 2026-03-191086Wolf Pack-Monsters-
166 - 2026-03-211104Firebirds-Monsters-
167 - 2026-03-221114Monsters-Sound Tigers-
169 - 2026-03-241125Monsters-Phantoms-
171 - 2026-03-261137Monsters-Rocket-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281158Barracuda-Monsters-
174 - 2026-03-291170Bruins-Monsters-
176 - 2026-03-311185Wolves-Monsters-
178 - 2026-04-021196Monsters-Wolves-
180 - 2026-04-041215Moose-Monsters-
183 - 2026-04-071235Monsters-Griffins-
185 - 2026-04-091248Monsters-Americans-
187 - 2026-04-111271Monsters-Rocket-
188 - 2026-04-121278Bruins-Monsters-
190 - 2026-04-141295Bears-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance23,87311,957
Assistance PCT99.47%99.64%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-2 2986 - 99.53% 80,852$970,224$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,027,363$ 2,320,830$ 2,320,830$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 783,782$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-161,704$ 130 15,994$ 2,079,220$




Monsters Leaders statistiques (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
1Alex Limoges111526912130338919343012.09%21247422.2911162782000811549.25%10.9802
2Brendan Gaunce1013962101296628835336610.66%29231322.91917266601126158.68%00.8723
3Liam Foudy10541539414261042344129.95%37225421.487111864011103256.19%20.8312
4Justin Barron7921668756418212818411.41%126198125.09121426960002310.00%00.8800
5Alex Steeves111364379152817112934110.56%29219019.73610166600005056.78%10.7201

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
1Remi Poirier96503870.8883.6454940233329610510.7789
2Brandon Halverson2713300.9351.98121021406140001.0004

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
2024823036010411295304-941171705101151152-141131905310144152-88729554183611107948312291998496294240272976466320102776122.02%2806078.57%01632315751.69%1553292353.13%740140852.56%2036141718555961063538
2025291750421012971581261022105030201711402000794138461292343630244512951201407391385228472471797061022120.59%771481.82%2672113059.47%54293857.78%27746859.19%818597572194366197
Total Saison régulière11147410146214243754953231807311201182195824230731022319330133424775119913151145112174120139113531327623576101184227163798221.64%3577479.27%22304428753.74%2095386154.26%1017187654.21%2854201424287911430736

Monsters Leaders statistiques (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