Monsters
GP: 82 | W: 59 | L: 20 | OTL: 3 | P: 121
GF: 342 | GA: 212 | PP%: 23.19% | PK%: 81.12%
DG: Eric Leclerc | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Bruins
54-24-4, 112pts
4
FINAL
3 Monsters
59-20-3, 121pts
Team Stats
W2StreakW1
26-13-2Home Record31-8-2
28-11-2Away Record28-12-1
5-4-1Last 10 Games6-4-0
4.01Buts par match 4.17
3.13Buts contre par match 2.59
26.42%Pourcentage en avantage numérique23.19%
80.99%Pourcentage en désavantage numérique81.12%
Bears
38-44-0, 76pts
3
FINAL
5 Monsters
59-20-3, 121pts
Team Stats
L3StreakW1
15-26-0Home Record31-8-2
23-18-0Away Record28-12-1
4-6-0Last 10 Games6-4-0
3.43Buts par match 4.17
3.78Buts contre par match 2.59
26.01%Pourcentage en avantage numérique23.19%
71.65%Pourcentage en désavantage numérique81.12%
Meneurs d'équipe
Brandon HalversonVictoires
Brandon Halverson
43
Ilya SamsonovPourcentage d’arrêts
Ilya Samsonov
0.94

Statistiques d’équipe
Buts pour
342
4.17 GFG
Tirs pour
3209
39.13 Avg
Pourcentage en avantage numérique
23.2%
61 GF
Début de zone offensive
43.8%
Buts contre
212
2.59 GAA
Tirs contre
2530
30.85 Avg
Pourcentage en désavantage numérique
81.1%
44 GA
Début de la zone défensive
37.7%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,987
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 80
Espoirs28


Historique d'équipe

Saison actuelle59-20-3 (121PTS)
Historique100-56-19 (0.571%)
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
1Logan Brown (R)0XX100.00875287679681656671686367646769075670273950,000$
2Alex Limoges0XX100.00693793667880816473656362666970075650282900,000$
3Brendan Gaunce0XX100.00784082638786836278616465637173075650311995,000$
4Alex Steeves (R)0XXX100.00743882677589856569636661646768075650252874,400$
5Mason Morelli99XX100.00723978657682816456606762666971075650292900,000$
6Christian Fischer0XX100.00774688658378836358646066617268075650282999,999$
7Matthew Highmore0XXX100.00693694657079816367645968576970075640292900,000$
8Rutger McGroarty (R)0XXX100.00693983667888726462656062646163075630213950,000$
9Xavier Parent (R)0XX100.00623973636287856268616062616466075620241950,000$
10Dylan Gambrell0XX100.006037886469798258686059625669710756202911,500,000$
11Xavier Simoneau (R)0XX100.00644358636572816268615563606466075610241950,000$
12Jake Bean0X100.00613591667686876530675868526967075650271999,999$
13Gustav Lindstrom0X100.00723981647982776230676063516769075640261998,900$
14Kaedan Korczak (R)0X100.00744287648483776230685863526466075640242950,000$
15Logan Stanley0X100.007484666399867662307154704768670756402731,555,000$
16Pierre-Olivier Joseph0X100.00683881697786796730685462516667075640261995,000$
Rayé
1Liam Foudy (R)0XXX100.006537896875878165716659646265670756402511,000,000$
2Anton Wahlberg (R)0XX100.00733994598276735867605759566062075610203950,000$
3Graeme Clarke (R)0XX100.00683784596991855760585956556564075610241950,000$
4Nathan Gaucher (R)0XX100.00765069588573845562565759586264075600212950,000$
5Brendan Lemieux0XX100.00787453588077675754565955587170075600291775,000$
6Milo Roelens0XX100.00844373569366675457515558546264075590222900,000$
7Ville Ottavainen (R)0X100.00814184649182866330665761496365075640232950,000$
8William Lagesson0X100.007642776283827361306558705069710756402921,283,000$
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
1Jake BeanMonsters (CBJ)D761469833924062133167461348.38%120191225.1661521852151122192210.00%000000.8700000045
2Alex LimogesMonsters (CBJ)C/LW823844825860661193138718912.14%10169820.727132059215011213312156.45%24800010.9703000565
3Alex SteevesMonsters (CBJ)C/LW/RW79423779502401271092908922514.48%13155719.714913632040003389259.41%23900131.01120001073
4Brendan GaunceMonsters (CBJ)C/LW82344175413802131902848122511.97%16168220.52413175620701131037360.41%197000000.89120005613
5Christian FischerMonsters (CBJ)C/RW823341743155151531373169021210.44%19161319.67711184019911241035155.05%74300200.9214120385
6Logan BrownMonsters (CBJ)C/LW552941703748101991842716520610.70%21133424.2737103915002241193258.46%171900011.0503002952
7Mason MorelliMonsters (CBJ)C/LW80273865344201191002699020710.04%17147618.46257341490001585151.23%48600000.8802000163
8William LagessonMonsters (CBJ)D731547623744014291118249512.71%111135618.5881220521222023101220.00%000000.91000001110
9Rutger McGroartyMonsters (CBJ)C/LW/RW812131522516083922025518210.40%18123315.230222120001532053.51%22800000.8401000044
10Gustav LindstromMonsters (CBJ)D7684149324751608310751747.48%90158620.877916461570001146000.00%000000.6200000123
11Logan StanleyMonsters (CBJ)D6983846156951275461214813.11%74102114.812352792101270200.00%000000.9000001131
12Liam FoudyMonsters (CBJ)C/LW/RW69192544138047146218601528.72%15113716.4954919630111713358.50%90600000.7711000412
13Matthew HighmoreMonsters (CBJ)C/LW/RW63182341206042811645816210.98%799815.8423517530003542160.00%7000000.8200000153
14Pierre-Olivier JosephMonsters (CBJ)D8210293933340998194184710.64%55132216.1323524590110751125.00%400000.5900000001
15Kaedan KorczakMonsters (CBJ)D693273039300111669433733.19%67134219.46123381040000103100.00%000000.4500000003
16Ville OttavainenMonsters (CBJ)D58224261922094345112373.92%4992315.921561982000080000.00%000000.5600000201
17Xavier ParentMonsters (CBJ)C/LW3641014-1180203233102812.12%53178.8100000000010045.71%14000000.8811000101
18Xavier SimoneauMonsters (CBJ)C/LW435813118063315813388.62%1848811.3600000000000153.52%7100000.5300000000
19Dylan GambrellMonsters (CBJ)C/RW2856119208355716348.77%52488.88000000000150051.49%13400000.8900000000
20Anton WahlbergMonsters (CBJ)C/LW30145700145258124.00%11996.6400000000080045.16%3100000.5000000000
21Jesse PulkkinenMonsters (CBJ)D2000200610100.00%22914.840000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne131533662496053154135195518043192928238010.53%7332348117.866111617762020935813301534561957.45%698900350.82519123445865
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)58431410.9192.5534080414517950100.8421958131001
2Remi PoirierMonsters (CBJ)2415420.9062.68136721616520000.00002158101
3Ilya SamsonovBlue Jackets31200.9401.67180015830000.000030100
Statistiques d’équipe totales ou en moyenne85592030.9172.5649552621125300100.8421982711202


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$870,000$0$0$No870,000$Lien / Lien NHL
Alex LimogesMonsters (CBJ)C/LW281997-09-16No201 Lbs6 ft1NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Alex SteevesMonsters (CBJ)C/LW/RW251999-12-10Yes202 Lbs6 ft0NoNoNo2Pro & Farm874,400$874,400$0$0$No874,400$Lien / Lien NHL
Anton WahlbergMonsters (CBJ)C/LW202005-07-04Yes194 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Brandon HalversonMonsters (CBJ)G291996-03-29No235 Lbs6 ft5NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Brendan GaunceMonsters (CBJ)C/LW311994-03-25No219 Lbs6 ft3NoNoNo1Pro & Farm995,000$995,000$0$0$NoLien / Lien NHL
Brendan LemieuxMonsters (CBJ)LW/RW291996-03-15No215 Lbs6 ft1NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Cam McDonaldMonsters (CBJ)D242001-02-03Yes174 Lbs5 ft9NoNoNo3Pro & Farm950,000$950,000$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$999,999$999,999$0$No999,999$Lien / Lien NHL
Dylan Gambrell (contrat à 1 volet)Monsters (CBJ)C/RW291996-08-26No185 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$0$NoLien / Lien NHL
Gabriel CarriereMonsters (CBJ)G242000-11-05No188 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Graeme ClarkeMonsters (CBJ)LW/RW242001-04-24Yes175 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Gustav LindstromMonsters (CBJ)D261998-10-20No194 Lbs6 ft2NoNoNo1Pro & Farm998,900$998,900$0$0$NoLien / Lien NHL
Jake Bean (contrat à 1 volet)Monsters (CBJ)D271998-06-09No191 Lbs6 ft1NoNoNo1Pro & Farm999,999$999,999$999,999$0$NoLien / Lien NHL
Jesse PulkkinenMonsters (CBJ)D202004-12-27Yes203 Lbs6 ft6NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Kaedan KorczakMonsters (CBJ)D242001-01-29Yes203 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$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$1,000,000$1,000,000$0$NoLien / Lien NHL
Logan BrownMonsters (CBJ)C/LW271998-03-05Yes218 Lbs6 ft6NoNoNo3Pro & Farm950,000$950,000$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$1,555,000$1,555,000$0$No1,555,000$1,555,000$Lien / Lien NHL
Mason MorelliMonsters (CBJ)C/LW291996-02-01No208 Lbs6 ft0NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Matthew HighmoreMonsters (CBJ)C/LW/RW291996-02-27No186 Lbs5 ft11NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Milo RoelensMonsters (CBJ)C/LW222003-01-16No205 Lbs6 ft6NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Nathan GaucherMonsters (CBJ)C/LW212003-11-06Yes207 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Pierre-Olivier JosephMonsters (CBJ)D261999-07-01No185 Lbs6 ft2NoNoNo1Pro & Farm995,000$995,000$0$0$NoLien / Lien NHL
Remi PoirierMonsters (CBJ)G242001-10-06Yes210 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Rutger McGroartyMonsters (CBJ)C/LW/RW212004-03-30Yes203 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Victor OstmanMonsters (CBJ)G252000-10-03Yes205 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Ville OttavainenMonsters (CBJ)D232002-08-12Yes210 Lbs6 ft5NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
William Lagesson (contrat à 1 volet)Monsters (CBJ)D291996-02-22No211 Lbs6 ft2NoNoYes2Pro & Farm1,283,000$1,283,000$1,283,000$0$No1,283,000$Lien / Lien NHL
Xavier ParentMonsters (CBJ)C/LW242001-03-23Yes170 Lbs5 ft8NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Xavier SimoneauMonsters (CBJ)C/LW242001-05-19Yes183 Lbs5 ft6NoNoNo1Pro & Farm950,000$950,000$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 LimogesLogan BrownChristian Fischer40122
2Alex SteevesBrendan GaunceMatthew Highmore30122
3Rutger McGroartyMason MorelliDylan Gambrell20122
4Xavier SimoneauXavier ParentLogan Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanGustav Lindstrom40122
2Kaedan KorczakLogan Stanley30122
3Pierre-Olivier Joseph20122
4Jake BeanGustav Lindstrom10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesLogan BrownChristian Fischer60122
2Alex SteevesBrendan GaunceMatthew Highmore40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanGustav Lindstrom60122
2Kaedan KorczakLogan Stanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownAlex Limoges60122
2Christian FischerBrendan Gaunce40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanGustav Lindstrom60122
2Kaedan KorczakLogan Stanley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Logan Brown60122Jake BeanGustav Lindstrom60122
2Alex Limoges40122Kaedan KorczakLogan Stanley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownAlex Limoges60122
2Christian FischerBrendan Gaunce40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanGustav Lindstrom60122
2Kaedan KorczakLogan Stanley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesLogan BrownChristian FischerJake BeanGustav Lindstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesLogan BrownChristian FischerJake BeanGustav Lindstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Morelli, Rutger McGroarty, Dylan GambrellMason Morelli, Rutger McGroartyDylan Gambrell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Pierre-Olivier Joseph, Kaedan KorczakPierre-Olivier Joseph, Kaedan Korczak
Tirs de pénalité
Logan Brown, Alex Limoges, Christian Fischer, Brendan Gaunce, Alex Steeves
Gardien
#1 : Brandon Halverson, #2 : Remi Poirier
Lignes d’attaque personnalisées en prolongation
Logan Brown, Alex Limoges, Christian Fischer, Brendan Gaunce, Alex Steeves, Mason Morelli, Mason Morelli, Matthew Highmore, Rutger McGroarty, Dylan Gambrell, Xavier Parent
Lignes de défense personnalisées en prolongation
Jake Bean, Gustav Lindstrom, Kaedan Korczak, Logan Stanley,


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
1Admirals220000001275110000005411100000073441.0001222340012212090129211071027104252581719644250.00%6266.67%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
2Americans321000001192110000003122110000088040.66711203100122120901210211071027104252912914658225.00%6183.33%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
3Barracuda22000000532110000002111100000032141.0005914001221209012701107102710425261111344500.00%4175.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
4Bears430001002113821000100109122000000114770.8752140610012212090121621107102710425210933266714214.29%10280.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
5Bruins3210000013112211000008801100000053240.667132639001221209012851107102710425210332268512325.00%12283.33%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
6Checkers33000000197121100000063322000000134961.0001936550012212090121501107102710425292328807342.86%4175.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
7Comets211000008531010000023-11100000062420.500815230012212090126911071027104252651916576116.67%8362.50%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
8Condors21100000642110000004131010000023-120.5006915001221209012721107102710425258148559222.22%40100.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
9Crunch320010001257210010008351100000042261.0001223350012212090129111071027104252932487013538.46%40100.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
10Devils4210100014122210010008622110000066060.7501428420012212090121771107102710425211326188913215.38%7271.43%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
11Eagles220000001257110000006241100000063341.00012243600122120901278110710271042524322144413215.38%70100.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
12Firebirds2200000014311110000006151100000082641.000142741001221209012102110710271042524871453500.00%50100.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
13Griffins321000001495110000006332110000086240.667142539001221209012171110710271042521073414878112.50%70100.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
14Gulls210000011275110000008261000000145-130.75012203200122120901264110710271042528837304211100.00%14285.71%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
15IceHogs20101000910-11010000035-21000100065120.5009162500122120901274110710271042527420105410440.00%5340.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
16Marlies31000110981200001105501100000043150.83391423001221209012122110710271042527427185614321.43%9277.78%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
17Moose210010001064110000006331000100043141.0001017270012212090128911071027104252642514555120.00%6183.33%21841318457.82%1539274156.15%759134056.64%2238161416885501033549
18Penguins42200000161152110000055021100000116540.50016324801122120901212711071027104252137402210919631.58%11372.73%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
19Phantoms311000101091100000104312110000066040.6671016260012212090121041107102710425279272958500.00%9455.56%11841318457.82%1539274156.15%759134056.64%2238161416885501033549
20Reign21100000440110000004221010000002-220.50048120012212090127811071027104252601719585240.00%7185.71%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
21Roadrunners21100000853110000005141010000034-120.500815230012212090127411071027104252632116409333.33%8275.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
22Rocket321000001275110000004222110000085340.66712233500122120901217311071027104252792422701119.09%10190.00%11841318457.82%1539274156.15%759134056.64%2238161416885501033549
23Senators32100000862220000007341010000013-240.6678152301122120901284110710271042529325197011327.27%6183.33%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
24Silver Knights22000000184141100000011291100000072541.000183553001221209012106110710271042526118125611100.00%50100.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
25Sound Tigers421000101055220000007162010001034-160.7501017270112212090121421107102710425212533259211327.27%10190.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
26Stars211000008441010000034-11100000050520.5008152301122120901262110710271042525523143010330.00%70100.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
27Thunderbirds211000001082110000008441010000024-220.500101828001221209012911107102710425267141956400.00%7442.86%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
28Wild2200000014113110000007071100000071641.000142438011221209012921107102710425253910436116.67%50100.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
29Wolf Pack32001000844210010005321100000031261.0008152301122120901210911071027104252108342887500.00%12283.33%11841318457.82%1539274156.15%759134056.64%2238161416885501033549
30Wolves412010001214-22020000038-52100100096340.5001221330012212090121271107102710425214139287612325.00%13284.62%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
31Wranglers2010100036-31010000015-41000100021120.5003580012212090127011071027104252681112527114.29%5180.00%01841318457.82%1539274156.15%759134056.64%2238161416885501033549
Total8249200723134221213041268032201701036741231204011172109631210.738342630972061221209012320911071027104252253074454519642636123.19%2334481.12%51841318457.82%1539274156.15%759134056.64%2238161416885501033549
_Since Last GM Reset8249200723134221213041268032201701036741231204011172109631210.738342630972061221209012320911071027104252253074454519642636123.19%2334481.12%51841318457.82%1539274156.15%759134056.64%2238161416885501033549
_Vs Conference5029120423018913059251440322089632625158010101006733740.740189351540041221209012192611071027104252154445930511611633722.70%1302481.54%31841318457.82%1539274156.15%759134056.64%2238161416885501033549
_Vs Division261370312091682313630211042357137401010493316370.7129116926003122120901294811071027104252812232176578791620.25%721677.78%21841318457.82%1539274156.15%759134056.64%2238161416885501033549

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82121W134263097232092530744545196406
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8249207231342212
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412683220170103
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4123124011172109
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2636123.19%2334481.12%5
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
110710271042521221209012
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
1841318457.82%1539274156.15%759134056.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2238161416885501033549


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 - 2026-03-03963Admirals4Monsters5BWSommaire du match
150 - 2026-03-05978Checkers3Monsters6BWSommaire du match
152 - 2026-03-07995Roadrunners1Monsters5BWSommaire du match
155 - 2026-03-101015Monsters4Crunch2AWSommaire du match
157 - 2026-03-121031Monsters7Checkers2AWSommaire du match
159 - 2026-03-141052Monsters3Phantoms5ALSommaire du match
162 - 2026-03-171070Wolves3Monsters2BLSommaire du match
164 - 2026-03-191086Wolf Pack3Monsters4BWSommaire du match
166 - 2026-03-211104Firebirds1Monsters6BWSommaire du match
167 - 2026-03-221114Monsters3Sound Tigers2AWXXSommaire du match
169 - 2026-03-241125Monsters3Phantoms1AWSommaire du match
171 - 2026-03-261137Monsters2Rocket3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281158Barracuda1Monsters2BWSommaire du match
174 - 2026-03-291170Bruins4Monsters5BWSommaire du match
176 - 2026-03-311185Wolves5Monsters1BLSommaire du match
178 - 2026-04-021196Monsters4Wolves2AWSommaire du match
180 - 2026-04-041215Moose3Monsters6BWSommaire du match
183 - 2026-04-071235Monsters2Griffins4ALSommaire du match
185 - 2026-04-091248Monsters3Americans5ALSommaire du match
187 - 2026-04-111271Monsters6Rocket2AWSommaire du match
188 - 2026-04-121278Bruins4Monsters3BLSommaire du match
190 - 2026-04-141295Bears3Monsters5BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,58040,881
Assistance PCT99.49%99.71%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2987 - 99.56% 80,875$3,315,892$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,098,563$ 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$ 2,344,150$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,507,138$ 0 15,994$ 0$




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 Limoges1647297169623313626061011.80%28359421.921427411140111015550.98%10.9405
2Brendan Gaunce1546088148488842746854610.99%38339222.0311273895011512459.10%00.8724
3Alex Steeves1616067127404424619351811.58%35315519.6081523109000311256.57%30.8012
4Liam Foudy145546612023321293055469.89%43294120.2812152781011106556.43%20.8223
5Mason Morelli1605459113228531726549510.91%34297918.625141973000312147.87%00.7603

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 Poirier106563970.8903.5260172235332070510.7789
2Brandon Halverson70431510.9212.5137052415519680100.84219
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
2025824920072313422121304126803220170103674123120401117210963121342630972061221209012320911071027104252253074454519642636123.19%2334481.12%51841318457.82%1539274156.15%759134056.64%2238161416885501033549
Total Saison régulière164795601764263751612182432508321321255668236310932131626155208637117118081722921417324612820911989198492525915081208397454012222.59%51310479.73%53473634154.77%3092566454.59%1499274854.55%427430323543114720971087

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