Monsters
GP: 60 | W: 44 | L: 13 | OTL: 3 | P: 91
GF: 255 | GA: 149 | PP%: 24.10% | PK%: 81.87%
DG: Eric Leclerc | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #963 vs Admirals
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Centre de jeu
Sound Tigers
38-18-5, 81pts
1
FINAL
3 Monsters
44-13-3, 91pts
Team Stats
W1StreakW3
18-9-2Home Record22-5-2
20-9-3Away Record22-8-1
5-4-1Last 10 Games8-2-0
4.05Buts par match 4.25
2.98Buts contre par match 2.48
15.47%Pourcentage en avantage numérique24.10%
80.23%Pourcentage en désavantage numérique81.87%
Monsters
44-13-3, 91pts
3
FINAL
1 Wolf Pack
31-22-7, 69pts
Team Stats
W3StreakL1
22-5-2Home Record14-10-4
22-8-1Away Record17-12-3
8-2-0Last 10 Games5-5-0
4.25Buts par match 3.77
2.48Buts contre par match 3.45
24.10%Pourcentage en avantage numérique20.45%
81.87%Pourcentage en désavantage numérique79.71%
Admirals
30-24-6, 66pts
2026-03-03
Monsters
44-13-3, 91pts
Statistiques d’équipe
W2SéquenceW3
17-11-4Fiche domicile22-5-2
13-13-2Fiche visiteur22-8-1
5-4-110 derniers matchs8-2-0
3.58Buts par match 4.25
3.43Buts contre par match 2.48
26.98%Pourcentage en avantage numérique24.10%
79.79%Pourcentage en désavantage numérique81.87%
Checkers
6-48-6, 18pts
2026-03-05
Monsters
44-13-3, 91pts
Statistiques d’équipe
L2SéquenceW3
4-26-3Fiche domicile22-5-2
2-22-3Fiche visiteur22-8-1
1-8-110 derniers matchs8-2-0
3.20Buts par match 4.25
6.15Buts contre par match 2.48
18.18%Pourcentage en avantage numérique24.10%
61.44%Pourcentage en désavantage numérique81.87%
Roadrunners
35-20-5, 75pts
2026-03-07
Monsters
44-13-3, 91pts
Statistiques d’équipe
L1SéquenceW3
21-8-1Fiche domicile22-5-2
14-12-4Fiche visiteur22-8-1
6-3-110 derniers matchs8-2-0
3.92Buts par match 4.25
3.10Buts contre par match 2.48
19.78%Pourcentage en avantage numérique24.10%
77.53%Pourcentage en désavantage numérique81.87%
Meneurs d'équipe
Brandon HalversonVictoires
Brandon Halverson
28
Ilya SamsonovPourcentage d’arrêts
Ilya Samsonov
0.94

Statistiques d’équipe
Buts pour
255
4.25 GFG
Tirs pour
2299
38.32 Avg
Pourcentage en avantage numérique
24.1%
47 GF
Début de zone offensive
43.3%
Buts contre
149
2.48 GAA
Tirs contre
1848
30.80 Avg
Pourcentage en désavantage numérique
81.9%
31 GA
Début de la zone défensive
38.3%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,983
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 80
Espoirs28


Historique d'équipe

Saison actuelle44-13-3 (91PTS)
Historique85-49-19 (0.556%)
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$
9Dylan Gambrell0XX100.006037886469798258686059625669710756202911,500,000$
10Jake Bean0X100.00613591667686876530675868526967075650271999,999$
11Gustav Lindstrom0X100.00723981647982776230676063516769075640261998,900$
12Kaedan Korczak (R)0X100.00744287648483776230685863526466075640242950,000$
13Logan Stanley0X100.007484666399867662307154704768670756402731,555,000$
14William Lagesson0X100.007642776283827361306558705069710756402921,283,000$
15Pierre-Olivier Joseph0X100.00683881697786796730685462516667075640261995,000$
Rayé
1Logan Brown (R)0XX100.00875287679681656671686367646769075670273950,000$
2Xavier Parent (R)0XX94.54623973636287856268616062616466075620241950,000$
3Anton Wahlberg (R)0XX100.00733994598276735867605759566062075610203950,000$
4Graeme Clarke (R)0XX100.00683784596991855760585956556564075610241950,000$
5Xavier Simoneau (R)0XX100.00644358636572816268615563606466075610241950,000$
6Nathan Gaucher (R)0XX100.00765069588573845562565759586264075600212950,000$
7Brendan Lemieux0XX100.00787453588077675754565955587170075600291775,000$
8Milo Roelens0XX100.00844373569366675457515558546264075590222900,000$
9Ville Ottavainen (R)0X100.00814184649182866330665761496365075640232950,000$
10Aidan Fulp0X100.00814189539063755230555159456567075590252870,000$
11Jesse Pulkkinen (R)0X100.00844394559365605430535059456163075590203950,000$
12Cam McDonald (R)0X100.00553784546462635330525055456466075560243950,000$
MOYENNE D’ÉQUIPE99.8072438262808077615262586256666707563
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
1Jake BeanMonsters (CBJ)D58135063351605196119329610.92%88145125.025914591621122147210.00%000000.8700000035
2Alex LimogesMonsters (CBJ)C/LW60303161406040902275213313.22%7123220.5478154616300017510156.62%13600010.9902000462
3Alex SteevesMonsters (CBJ)C/LW/RW573129604616095772036616315.27%11113119.854913441490002327164.91%11400121.0612000752
4Brendan GaunceMonsters (CBJ)C/LW60233356382601611411945715911.86%11124220.7031013421520112843259.74%148300000.9012000549
5Mason MorelliMonsters (CBJ)C/LW582233553432094682136615910.33%10114419.73257331390001474151.31%19100000.9602000162
6Christian FischerMonsters (CBJ)C/RW6021345522411511099218661539.63%13115019.182911271391123753155.17%68700200.9603120254
7Logan BrownMonsters (CBJ)C/LW392131522836101331201864513411.29%1693924.08257281050112762156.85%115400001.1102002740
8William LagessonMonsters (CBJ)D54133548293201106897187313.40%78102018.9089174691000072210.00%000000.9400000109
9Rutger McGroartyMonsters (CBJ)C/LW/RW601523381812057731484113810.14%1596916.160222120001422052.66%20700000.7801000014
10Gustav LindstromMonsters (CBJ)D605313627375121607637486.58%68119920.005611311130001110000.00%000000.6000000101
11Liam FoudyMonsters (CBJ)C/LW/RW5513193226042130158471048.23%1288616.122358300111713258.21%88300000.7211000202
12Matthew HighmoreMonsters (CBJ)C/LW/RW4115173223602250118449612.71%466616.2622414350003531150.00%4600000.9600000053
13Pierre-Olivier JosephMonsters (CBJ)D609223126280836075143712.00%4095615.9523518450000621125.00%400000.6500000001
14Logan StanleyMonsters (CBJ)D47723305500793840203217.50%5069414.782241974101246100.00%000000.8600000031
15Ville OttavainenMonsters (CBJ)D5002020182207423399290.00%3975415.080551161000066000.00%000000.5300000100
16Kaedan KorczakMonsters (CBJ)D47316193020086526218494.84%4489619.071122560000064100.00%000000.4200000002
17Xavier SimoneauMonsters (CBJ)C/LW355813012059275313359.43%1745012.8800000000000153.73%6700000.5800000000
18Xavier ParentMonsters (CBJ)C/LW25257-102012222310208.70%32028.1000000000010045.97%12400000.6911000001
19Anton WahlbergMonsters (CBJ)C/LW30145700145258124.00%11996.6400000000080045.16%3100000.5000000000
20Dylan GambrellMonsters (CBJ)C/RW61344003512278.33%16911.5900000000040036.36%3300001.1500000000
21Jesse PulkkinenMonsters (CBJ)D2000200610100.00%22914.840000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne96425046771742440030145213052286666167710.94%5301728917.9447881354531538358211145421456.90%516000330.83416122314248
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)3628710.9272.352146048411430100.813163613800
2Remi PoirierMonsters (CBJ)2215420.9052.71130521596220000.00002136101
3Ilya SamsonovBlue Jackets31200.9401.67180015830000.000030100
Statistiques d’équipe totales ou en moyenne61441330.9202.4536322614818480100.8131660491001


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$203,906$870,000$203,906$0$0$No870,000$Lien / Lien NHL
Alex LimogesMonsters (CBJ)C/LW281997-09-16No201 Lbs6 ft1NoNoNo2Pro & Farm900,000$210,938$900,000$210,938$0$0$No900,000$Lien / Lien NHL
Alex SteevesMonsters (CBJ)C/LW/RW251999-12-10Yes202 Lbs6 ft0NoNoNo2Pro & Farm874,400$204,938$874,400$204,938$0$0$No874,400$Lien / Lien NHL
Anton WahlbergMonsters (CBJ)C/LW202005-07-04Yes194 Lbs6 ft3NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Brandon HalversonMonsters (CBJ)G291996-03-29No235 Lbs6 ft5NoNoNo2Pro & Farm900,000$210,938$900,000$210,938$0$0$No900,000$Lien / Lien NHL
Brendan GaunceMonsters (CBJ)C/LW311994-03-25No219 Lbs6 ft3NoNoNo1Pro & Farm995,000$233,203$995,000$233,203$0$0$NoLien / Lien NHL
Brendan LemieuxMonsters (CBJ)LW/RW291996-03-15No215 Lbs6 ft1NoNoNo1Pro & Farm775,000$181,641$775,000$181,641$0$0$NoLien / Lien NHL
Cam McDonaldMonsters (CBJ)D242001-02-03Yes174 Lbs5 ft9NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$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$234,375$999,999$234,375$999,999$234,375$No999,999$Lien / Lien NHL
Dylan Gambrell (contrat à 1 volet)Monsters (CBJ)C/RW291996-08-26No185 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$351,562$1,500,000$351,562$1,500,000$351,562$NoLien / Lien NHL
Gabriel CarriereMonsters (CBJ)G242000-11-05No188 Lbs6 ft2NoNoNo2Pro & Farm850,000$199,219$850,000$199,219$0$0$No850,000$Lien / Lien NHL
Graeme ClarkeMonsters (CBJ)LW/RW242001-04-24Yes175 Lbs6 ft0NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Gustav LindstromMonsters (CBJ)D261998-10-20No194 Lbs6 ft2NoNoNo1Pro & Farm998,900$234,117$998,900$234,117$0$0$NoLien / Lien NHL
Jake Bean (contrat à 1 volet)Monsters (CBJ)D271998-06-09No191 Lbs6 ft1NoNoNo1Pro & Farm999,999$234,375$999,999$234,375$999,999$234,375$NoLien / Lien NHL
Jesse PulkkinenMonsters (CBJ)D202004-12-27Yes203 Lbs6 ft6NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Kaedan KorczakMonsters (CBJ)D242001-01-29Yes203 Lbs6 ft3NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$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$234,375$1,000,000$234,375$1,000,000$234,375$NoLien / Lien NHL
Logan BrownMonsters (CBJ)C/LW271998-03-05Yes218 Lbs6 ft6NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$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$364,453$1,555,000$364,453$1,555,000$364,453$No1,555,000$1,555,000$Lien / Lien NHL
Mason MorelliMonsters (CBJ)C/LW291996-02-01No208 Lbs6 ft0NoNoNo2Pro & Farm900,000$210,938$900,000$210,938$0$0$No900,000$Lien / Lien NHL
Matthew HighmoreMonsters (CBJ)C/LW/RW291996-02-27No186 Lbs5 ft11NoNoNo2Pro & Farm900,000$210,938$900,000$210,938$0$0$No900,000$Lien / Lien NHL
Milo RoelensMonsters (CBJ)C/LW222003-01-16No205 Lbs6 ft6NoNoNo2Pro & Farm900,000$210,938$900,000$210,938$0$0$No900,000$Lien / Lien NHL
Nathan GaucherMonsters (CBJ)C/LW212003-11-06Yes207 Lbs6 ft3NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Pierre-Olivier JosephMonsters (CBJ)D261999-07-01No185 Lbs6 ft2NoNoNo1Pro & Farm995,000$233,203$995,000$233,203$0$0$NoLien / Lien NHL
Remi PoirierMonsters (CBJ)G242001-10-06Yes210 Lbs6 ft2NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Rutger McGroartyMonsters (CBJ)C/LW/RW212004-03-30Yes203 Lbs6 ft1NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Victor OstmanMonsters (CBJ)G252000-10-03Yes205 Lbs6 ft4NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Ville OttavainenMonsters (CBJ)D232002-08-12Yes210 Lbs6 ft5NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
William Lagesson (contrat à 1 volet)Monsters (CBJ)D291996-02-22No211 Lbs6 ft2NoNoYes2Pro & Farm1,283,000$300,703$1,283,000$300,703$1,283,000$300,703$No1,283,000$Lien / Lien NHL
Xavier ParentMonsters (CBJ)C/LW242001-03-23Yes170 Lbs5 ft8NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Xavier SimoneauMonsters (CBJ)C/LW242001-05-19Yes183 Lbs5 ft6NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$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
1Alex LimogesChristian Fischer40122
2Alex SteevesBrendan GaunceLiam Foudy30122
3Matthew HighmoreMason MorelliRutger McGroarty20122
4Dylan Gambrell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanGustav Lindstrom40122
2Kaedan KorczakWilliam Lagesson30122
3Pierre-Olivier JosephLogan Stanley20122
4Jake BeanGustav Lindstrom10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesChristian Fischer60122
2Alex SteevesBrendan GaunceLiam Foudy40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanGustav Lindstrom60122
2Kaedan KorczakWilliam Lagesson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex Limoges60122
2Christian FischerBrendan Gaunce40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanGustav Lindstrom60122
2Kaedan KorczakWilliam Lagesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jake BeanGustav Lindstrom60122
2Alex Limoges40122Kaedan KorczakWilliam Lagesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex Limoges60122
2Christian FischerBrendan Gaunce40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanGustav Lindstrom60122
2Kaedan KorczakWilliam Lagesson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesChristian FischerJake BeanGustav Lindstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesChristian FischerJake BeanGustav Lindstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Morelli, Matthew Highmore, Rutger McGroartyMason Morelli, Matthew HighmoreRutger McGroarty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierre-Olivier Joseph, Logan Stanley, Kaedan KorczakPierre-Olivier JosephLogan Stanley, Kaedan Korczak
Tirs de pénalité
, Alex Limoges, Christian Fischer, Brendan Gaunce, Alex Steeves
Gardien
#1 : Brandon Halverson, #2 : Remi Poirier
Lignes d’attaque personnalisées en prolongation
, Alex Limoges, Christian Fischer, Brendan Gaunce, Alex Steeves, Mason Morelli, Mason Morelli, Liam Foudy, Matthew Highmore, Rutger McGroarty, Dylan Gambrell
Lignes de défense personnalisées en prolongation
Jake Bean, Gustav Lindstrom, Kaedan Korczak, William Lagesson, Pierre-Olivier Joseph


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
1Admirals11000000734000000000001100000073421.00071320009392611158784745740462674352150.00%2150.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
2Americans22000000844110000003121100000053241.0008142200939261116378474574046572012476233.33%5180.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
3Barracuda11000000321000000000001100000032121.00036900939261112778474574046285925100.00%2150.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
4Bears32000100161061000010056-122000000114750.833163046009392611111778474574046872622481317.69%8275.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
5Bruins11000000532000000000001100000053221.00051015009392611130784745740463344293133.33%20100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
6Checkers11000000624000000000001100000062421.000612180093926111697847457404632110222150.00%000.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
7Comets211000008531010000023-11100000062420.5008152300939261116978474574046651916576116.67%8362.50%01300226357.45%1125200356.17%55296557.20%162411661245409765406
8Condors21100000642110000004131010000023-120.50069150093926111727847457404658148559222.22%40100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
9Crunch21001000835210010008350000000000041.000815230093926111577847457404673188468225.00%40100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
10Devils4210100014122210010008622110000066060.75014284200939261111777847457404611326188913215.38%7271.43%01300226357.45%1125200356.17%55296557.20%162411661245409765406
11Eagles220000001257110000006241100000063341.000122436009392611178784745740464322144413215.38%70100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
12Firebirds11000000826000000000001100000082621.00081624009392611143784745740463251222100.00%40100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
13Griffins220000001257110000006331100000062441.000122133009392611111678474574046722310585120.00%50100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
14Gulls210000011275110000008261000000145-130.750122032009392611164784745740468837304211100.00%14285.71%01300226357.45%1125200356.17%55296557.20%162411661245409765406
15IceHogs20101000910-11010000035-21000100065120.50091625009392611174784745740467420105410440.00%5340.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
16Marlies31000110981200001105501100000043150.833914230093926111122784745740467427185614321.43%9277.78%01300226357.45%1125200356.17%55296557.20%162411661245409765406
17Moose10001000431000000000001000100043121.00048120093926111397847457404632144283133.33%20100.00%11300226357.45%1125200356.17%55296557.20%162411661245409765406
18Penguins42200000161152110000055021100000116540.500163248019392611112778474574046137402210919631.58%11372.73%01300226357.45%1125200356.17%55296557.20%162411661245409765406
19Phantoms10000010431100000104310000000000021.000459009392611142784745740462481521300.00%4175.00%11300226357.45%1125200356.17%55296557.20%162411661245409765406
20Reign21100000440110000004221010000002-220.500481200939261117878474574046601719585240.00%7185.71%01300226357.45%1125200356.17%55296557.20%162411661245409765406
21Roadrunners1010000034-1000000000001010000034-100.0003690093926111257847457404630128194125.00%4175.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
22Rocket11000000422110000004220000000000021.0004812009392611136784745740463081431100.00%7185.71%11300226357.45%1125200356.17%55296557.20%162411661245409765406
23Senators32100000862220000007341010000013-240.66781523019392611184784745740469325197011327.27%6183.33%01300226357.45%1125200356.17%55296557.20%162411661245409765406
24Silver Knights22000000184141100000011291100000072541.0001835530093926111106784745740466118125611100.00%50100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
25Sound Tigers32100000734220000007161010000002-240.66771320019392611110978474574046882419767228.57%70100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
26Stars211000008441010000034-11100000050520.50081523019392611162784745740465523143010330.00%70100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
27Thunderbirds211000001082110000008441010000024-220.5001018280093926111917847457404667141956400.00%7442.86%01300226357.45%1125200356.17%55296557.20%162411661245409765406
28Wild2200000014113110000007071100000071641.0001424380193926111927847457404653910436116.67%50100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
29Wolf Pack21001000413100010001011100000031241.00047110193926111727847457404654201463400.00%50100.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
30Wolves10001000541000000000001000100054121.00059140093926111307847457404641106143266.67%3166.67%01300226357.45%1125200356.17%55296557.20%162411661245409765406
31Wranglers2010100036-31010000015-41000100021120.50035800939261117078474574046681112527114.29%5180.00%01300226357.45%1125200356.17%55296557.20%162411661245409765406
Total603513072212551491062917503220120685231188040011358154910.7582554717260693926111229978474574046184853740214551954724.10%1713181.87%31300226357.45%1125200356.17%55296557.20%162411661245409765406
_Since Last GM Reset603513072212551491062917503220120685231188040011358154910.7582554717260693926111229978474574046184853740214551954724.10%1713181.87%31300226357.45%1125200356.17%55296557.20%162411661245409765406
_Vs Conference3320504220126774918101032206338251510401000633924540.818126233359049392611112517847457404610082902017791122623.21%831483.13%21300226357.45%1125200356.17%55296557.20%162411661245409765406
_Vs Division189403110664422941021103021995301000362313270.75066124190039392611167478474574046544154116420621320.97%45980.00%11300226357.45%1125200356.17%55296557.20%162411661245409765406

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6091W325547172622991848537402145506
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6035137221255149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29175322012068
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31188400113581
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
1954724.10%1713181.87%3
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
7847457404693926111
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
1300226357.45%1125200356.17%55296557.20%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
162411661245409765406


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 - 2025-12-09471Monsters5Wolves4AWXSommaire du match
66 - 2025-12-11486Senators3Monsters5BWSommaire du match
68 - 2025-12-13502Silver Knights2Monsters11BWSommaire du match
71 - 2025-12-16524Gulls2Monsters8BWSommaire du match
73 - 2025-12-18539Wild0Monsters7BWSommaire du match
75 - 2025-12-20560Monsters4Gulls5ALXXSommaire du match
77 - 2025-12-22574Monsters0Reign2ALSommaire du match
83 - 2025-12-28602Sound Tigers0Monsters4BWSommaire du match
84 - 2025-12-29606Monsters1Senators3ALSommaire du match
86 - 2025-12-31627Devils3Monsters4BWSommaire du match
89 - 2026-01-03646Americans1Monsters3BWSommaire du match
90 - 2026-01-04658Penguins2Monsters3BWSommaire du match
92 - 2026-01-06675Monsters3Barracuda2AWSommaire du match
94 - 2026-01-08692Monsters7Silver Knights2AWSommaire du match
96 - 2026-01-10699Monsters6Eagles3AWSommaire du match
97 - 2026-01-11714Monsters3Roadrunners4ALSommaire du match
99 - 2026-01-13728Wranglers5Monsters1BLSommaire du match
101 - 2026-01-15743Comets3Monsters2BLSommaire du match
103 - 2026-01-17760Monsters7Penguins0AWSommaire du match
106 - 2026-01-20782Senators0Monsters2BWSommaire du match
108 - 2026-01-22797Stars4Monsters3BLSommaire du match
110 - 2026-01-24814Crunch2Monsters3BWXSommaire du match
112 - 2026-01-26828Reign2Monsters4BWSommaire du match
114 - 2026-01-28840Phantoms3Monsters4BWXXSommaire du match
116 - 2026-01-30858Monsters6IceHogs5AWXSommaire du match
117 - 2026-01-31868Monsters2Thunderbirds4ALSommaire du match
120 - 2026-02-03886Monsters4Devils2AWSommaire du match
121 - 2026-02-04894IceHogs5Monsters3BLSommaire du match
143 - 2026-02-26918Monsters5Bruins3AWSommaire du match
145 - 2026-02-28938Sound Tigers1Monsters3BWSommaire du match
147 - 2026-03-02953Monsters3Wolf Pack1AWSommaire du match
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
Assistance57,58028,936
Assistance PCT99.28%99.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-19 2983 - 99.44% 80,756$2,341,923$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,380,913$ 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$ 1,803,837$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,534,363$ 45 15,994$ 719,730$




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 Limoges1426484148443311023152412.21%25312822.03142236101000913550.00%10.9504
2Brendan Gaunce1324980129457637541945610.75%33295222.361024348101148358.68%00.8724
3Alex Steeves1394959108363621416143111.37%33273019.64815239000029157.41%20.7912
4Liam Foudy131486010812301242894869.88%40269020.539142370011106456.15%20.8023
5Mason Morelli1384954103227529223343911.16%27264719.185141972000311147.35%00.7803

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 Poirier104563970.8903.5459562235131770510.7789
2Brandon Halverson4828810.9292.312443249413160100.81316
3Ilya Samsonov31200.9401.67180015830000.0000

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
2025603513072212551491062917503220120685231188040011358154912554717260693926111229978474574046184853740214551954724.10%1713181.87%31300226357.45%1125200356.17%55296557.20%162411661245409765406
Total Saison régulière14265490176325504539770342208321271220517231270931127923346178550101215621720018614423521817681707168286457713011065346547210822.88%4519179.82%32932542054.10%2678492654.36%1292237354.45%36602583310010061828945

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