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Monsters
GP: 82 | W: 51 | L: 26 | OTL: 5 | P: 107
GF: 282 | GA: 218 | PP%: 23.89% | PK%: 78.71%
DG: Vincent Attic | Morale : 40 | Moyenne d’équipe : 63

Centre de jeu
Bruins
32-44-6, 70pts
3
2 Monsters
51-26-5, 107pts
Team Stats
W3SéquenceOTL1
18-21-2Fiche domicile26-10-5
14-23-4Fiche domicile25-16-0
5-5-0Derniers 10 matchs6-1-3
3.00Buts par match 3.44
3.60Buts contre par match 2.66
19.00%Pourcentage en avantage numérique23.89%
75.69%Pourcentage en désavantage numérique78.71%
Bears
47-28-7, 101pts
4
3 Monsters
51-26-5, 107pts
Team Stats
W2SéquenceOTL1
21-17-3Fiche domicile26-10-5
26-11-4Fiche domicile25-16-0
5-4-1Derniers 10 matchs6-1-3
3.57Buts par match 3.44
3.11Buts contre par match 2.66
21.10%Pourcentage en avantage numérique23.89%
80.39%Pourcentage en désavantage numérique78.71%
Meneurs d'équipe
Pierre EngvallButs
Pierre Engvall
31
Parker WotherspoonPasses
Parker Wotherspoon
60
Pierre EngvallPoints
Pierre Engvall
87
Ville HeinolaPlus/Moins
Ville Heinola
31
Nikita TolopiloVictoires
Nikita Tolopilo
50
Cal PetersenPourcentage d’arrêts
Cal Petersen
0.92

Statistiques d’équipe
Buts pour
282
3.44 GFG
Tirs pour
2716
33.12 Avg
Pourcentage en avantage numérique
23.9%
75 GF
Début de zone offensive
41.8%
Buts contre
218
2.66 GAA
Tirs contre
2400
29.27 Avg
Pourcentage en désavantage numérique
78.7%%
66 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralVincent Attic
EntraîneurMike Vellucci
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1Pierre Engvall
Assistant #2Carl Grundstrom


Informations de l’aréna

Capacité5,000
Assistance4,656
Billets de saison3,750


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 70
Espoirs27


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
1Pierre Engvall (A)XX100.006438927291828667586663656471730406703011,250,000$
2Emil BemstromXX100.00653986697284856872666761686769040660271925,000$
3Adam EdstromX100.00865386629979806365606164626567040650252925,000$
4Carl Grundstrom (A)XX100.008435906674768064566062636169710406502841,499,999$
5Kyle MacLeanX100.00724089647677906373626065616668040640271925,000$
6Axel Jonsson-FjallbyX100.007037936475798562586059616367690406302821,100,000$
7Carson MeyerX100.007139736470847863566261606368700406302941,499,999$
8Brennan OthmannX100.00694073657384826458626163656264040630232925,000$
9Carl BerglundX100.00733894588276705664575359546567040610262925,000$
10Michael MilneX100.00723875596982795653585755596364040600233925,000$
11Sam Lipkin (R)X100.00704083577971725654555558566264040600233925,000$
12Parker WotherspoonX100.007354836576868163306858715068700406502941,499,999$
13Ville OttavainenX100.00814184649182866330665761496365040650242925,000$
14Albert JohanssonX100.00663881656883846430635665516466040630251925,000$
15Matthew RobertsonX100.007642746189858459306056624964660406302531,499,999$
16Riley StillmanX100.007562666082697659306057655167690406202821,100,000$
17Ville HeinolaX100.006139846371827164306358605064660406202531,499,999$
Rayé
1Gavin Hayes (R)X100.00643794577381685458565557536163040590223925,000$
2Josh DaviesX100.005943635369656252555150545061630405502231,499,999$
3Travis DermottX100.006835886574837363306255795271690406402931,499,999$
4Tobias BjornfotX100.006838876074797559305855615064660406102531,499,999$
5Charlie Wright (R)X100.00643695577361635530565054456264040580223925,000$
MOYENNE D’ÉQUIPE100.0071418362777978614861586256656704062
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
1Nikita Tolopilo100.00778581987675777675777665730406702641,499,999$
2Cal Petersen100.0075837877747375747375747285040660311925,000$
Rayé
MOYENNE D’ÉQUIPE100.007684808875747675747675697904067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Vellucci64656970888258USA594500,000$


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
1Pierre EngvallMonsters (CBJ)LW/RW823156871823557151334992329.28%23178321.7562026572600001424446.00%10000000.9849001693
2Emil BemstromMonsters (CBJ)C/RW8229528116261078260322882099.01%16198624.23819277526102273105053.13%287600010.8229101537
3Parker WotherspoonMonsters (CBJ)D82156075126915134146162501049.26%180207825.3412112385261101223742100.00%100000.7200111444
4Carl GrundstromMonsters (CBJ)LW/RW8230295917680286992546114711.81%20191323.34612184825910182658343.33%15000000.6238000534
5Albert JohanssonMonsters (CBJ)D821541561752017282121467912.40%97175021.35111425672450000221310%000000.6400000315
6Adam EdstromMonsters (CBJ)C822330531076102011872115415310.90%19155618.98610165324600001383350.33%194900010.6835002433
7Carson MeyerMonsters (CBJ)RW822428525475139102264811819.09%19170520.806121856246000003046.09%11500000.6112010152
8Axel Jonsson-FjallbyMonsters (CBJ)LW822328518120501222187116410.55%14161919.75713205124600041536043.81%10500010.6300000321
9Brennan OthmannMonsters (CBJ)LW822422462726089911915915712.57%11101112.3400004000013054.72%5300010.9112000343
10Travis DermottMonsters (CBJ)D61133245-1440113108111377411.71%100129421.2261622671900000167200%000000.7000000225
11Ville OttavainenMonsters (CBJ)D82123143964018667100377612.00%102180422.0071017582610221237100%000000.4800000122
12Kyle MacLeanMonsters (CBJ)C821424382527548169198621387.07%15123615.080002900021111054.09%130700000.6113001103
13Michael MilneMonsters (CBJ)LW821215272336012646116347910.34%15131716.0600000000000039.73%7300000.4100000013
14Ville HeinolaMonsters (CBJ)D825212631280666942164011.90%73128715.7100006000136100%000000.4000000021
15Matthew RobertsonMonsters (CBJ)D6131821168010142473214219.38%6787814.4100003000165010%000000.4800002021
16Carl BerglundMonsters (CBJ)C82178330044433215153.13%165356.5300000000000051.98%32900000.3000000000
17Tobias BjornfotMonsters (CBJ)D661231100311287612.50%142373.610000200012000%000000.2500000000
Statistiques d’équipe totales ou en moyenne133627549677123771860196218012716831187510.13%8012399717.96751372126192506246281991441451.80%705800040.641538228384347
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
1Nikita TolopiloMonsters (CBJ)82502450.9102.5847918520622980320.78833820737
2Cal PetersenMonsters (CBJ)61200.9202.571872081000000.6005082000
Statistiques d’équipe totales ou en moyenne88512650.9112.5849781052142398032388282737


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam EdstromMonsters (CBJ)C252000-10-12SWENo241 Lbs201 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Albert JohanssonMonsters (CBJ)D252001-01-04SWENo168 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Axel Jonsson-FjallbyMonsters (CBJ)LW281998-02-10SWENo189 Lbs185 CMNoNoN/AYesYes2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Brennan OthmannMonsters (CBJ)LW232003-01-05CANNo192 Lbs183 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Cal PetersenMonsters (CBJ)G311994-10-19USANo185 Lbs188 CMNoNoTrade2024-10-03YesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Carl BerglundMonsters (CBJ)C262000-01-16SWENo207 Lbs188 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Carl GrundstromMonsters (CBJ)LW/RW281997-12-01SWENo200 Lbs183 CMNoNoAssign ManuallyYesYes42024-07-17FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$1,499,999$------1,499,999$1,499,999$1,499,999$------NoNoNo------Lien / Lien NHL
Carson MeyerMonsters (CBJ)RW291997-08-18USANo184 Lbs180 CMNoNoAssign ManuallyYesYes42024-07-22FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$1,499,999$------1,499,999$1,499,999$1,499,999$------NoNoNo------Lien / Lien NHL
Charlie WrightMonsters (CBJ)D222003-10-22CANYes179 Lbs185 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Emil BemstromMonsters (CBJ)C/RW271999-06-01SWENo190 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Gavin HayesMonsters (CBJ)LW222004-05-14USAYes177 Lbs185 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Josh DaviesMonsters (CBJ)LW222004-03-24CANNo197 Lbs175 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Kyle MacLeanMonsters (CBJ)C271999-04-29USANo194 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Matthew RobertsonMonsters (CBJ)D252001-03-09CANNo211 Lbs193 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Michael MilneMonsters (CBJ)LW232002-09-21CANNo185 Lbs180 CMNoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nikita TolopiloMonsters (CBJ)G262000-04-06BLRNo229 Lbs198 CMNoNoAssign ManuallyNoNo42024-07-17FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$1,499,999$------1,499,999$1,499,999$1,499,999$------NoNoNo------Lien / Lien NHL
Parker WotherspoonMonsters (CBJ)D291997-08-24CANNo192 Lbs185 CMNoNoAssign ManuallyYesYes42024-07-22FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$1,499,999$------1,499,999$1,499,999$1,499,999$------NoNoNo------Lien / Lien NHL
Pierre EngvallMonsters (CBJ)LW/RW301996-05-31SWENo215 Lbs196 CMNoNoN/AYesYes1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien / Lien NHL
Riley StillmanMonsters (CBJ)D281998-03-09CANNo207 Lbs188 CMNoNoN/AYesYes2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Sam LipkinMonsters (CBJ)LW232003-01-03USAYes192 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Tobias BjornfotMonsters (CBJ)D252001-04-06SWENo200 Lbs183 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Travis DermottMonsters (CBJ)D291996-12-22CANNo200 Lbs183 CMNoNoFree Agent2025-01-03YesYes32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Ville HeinolaMonsters (CBJ)D252001-03-02FINNo181 Lbs183 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Ville OttavainenMonsters (CBJ)D242002-08-12FINNo210 Lbs196 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.92197 Lbs185 CM2.501,168,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carl GrundstromEmil BemstromPierre Engvall40014
2Axel Jonsson-FjallbyAdam EdstromCarson Meyer30122
3Brennan OthmannKyle MacLeanMichael Milne20122
4Michael MilneCarl BerglundCarson Meyer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonVille Ottavainen40122
2Albert Johansson30122
3Ville Heinola20122
4Parker Wotherspoon10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carl GrundstromEmil BemstromPierre Engvall60005
2Axel Jonsson-FjallbyAdam EdstromCarson Meyer40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonVille Ottavainen60113
2Albert Johansson40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emil BemstromCarl Grundstrom60140
2Adam EdstromAxel Jonsson-Fjallby40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonVille Ottavainen60140
2Albert Johansson40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emil Bemstrom60050Parker WotherspoonVille Ottavainen60140
2Adam Edstrom40050Albert Johansson40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil BemstromCarl Grundstrom60122
2Adam EdstromAxel Jonsson-Fjallby40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonVille Ottavainen60122
2Albert Johansson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromEmil BemstromPierre EngvallParker WotherspoonVille Ottavainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromEmil BemstromPierre EngvallParker WotherspoonVille Ottavainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle MacLean, Carson Meyer, Axel Jonsson-FjallbyKyle MacLean, Carson MeyerKyle MacLean
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ville Heinola, , Ville Heinola
Tirs de pénalité
Pierre Engvall, Emil Bemstrom, Carl Grundstrom, Adam Edstrom, Kyle MacLean
Gardien
#1 : Nikita Tolopilo, #2 : Cal Petersen


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
1Admirals21100000431110000003121010000012-120.5004812001078578205786991988383581718398225.00%8187.50%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
2Americans321000001174110000002112110000096340.66711213201107857820110869919883837635366512433.33%17476.47%11485291950.87%1465274753.33%706131353.77%2035141018846001065543
3Barracuda210010001037100010003211100000071641.000102030001078578207586991988383612512399333.33%50100.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
4Bears4200011015132200001108802200000075270.8751523380010785782013486991988383129424510619526.32%18855.56%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
5Bruins311000011011-1210000016511010000046-230.5001018280010785782011686991988383802316709111.11%70100.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
6Canucks210000016511000000134-11100000031230.7506915001078578207686991988383601814535360.00%6183.33%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
7Checkers330000002371611000000112922000000125761.0002344670010785782015486991988383711827859555.56%11372.73%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
8Comets413000001416-22020000058-32110000098120.250142539001078578201678699198838311437479624625.00%13469.23%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
9Condors211000007611010000045-11100000031220.50071219001078578206286991988383741728484375.00%14378.57%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
10Crunch300010201183200010108621000001032161.0001117280010785782090869919883838235207914321.43%10370.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
11Eagles21001000862100010004311100000043141.000813210010785782070869919883833621194411218.18%7185.71%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
12Firebirds2110000056-1110000003211010000024-220.5005914001078578206386991988383682518406116.67%9277.78%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
13Griffins320010001257110000004222100100083561.000122335001078578207786991988383962636794125.00%18383.33%11485291950.87%1465274753.33%706131353.77%2035141018846001065543
14Gulls2110000078-11010000025-31100000053220.50071320001078578206286991988383693112628225.00%5180.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
15Heat20000020642100000104311000001021141.000681400107857820738699198838361261057800.00%4250.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
16IceHogs2110000078-1110000005141010000027-520.50071219001078578205786991988383532328549222.22%14378.57%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
17Marlies330000001147220000007161100000043161.0001122330110785782095869919883837022227312216.67%10190.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
18Moose22000000945110000004131100000053241.000913220010785782078869919883836216274511436.36%10280.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
19Penguins42100010963210000104132110000055060.75091423111078578201298699198838310928289416318.75%14192.86%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
20Phantoms3020010047-31000010012-12020000035-210.1674812001078578209486991988383953128501218.33%13469.23%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
21Reign21000010954110000005231000001043141.000913220010785782086869919883835110650900.00%3166.67%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
22Roadrunners21001000817110000006061000100021141.00081119011078578205186991988383621012528225.00%60100.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
23Rocket31200000111011010000034-12110000086220.333112031001078578201048699198838310128226111218.18%11372.73%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
24Senators32100000844211000006421100000020240.667815230110785782010986991988383912923759222.22%90100.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
25Silver Knights2110000056-1110000004311010000013-220.5005914001078578205386991988383612516508112.50%8275.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
26Sound Tigers413000001014-42110000064220200000410-620.25010182800107857820998699198838315252569312433.33%20575.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
27Stars22000000954110000004221100000053241.000916250010785782052869919883835619204710330.00%10280.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
28Thunderbirds2110000056-11010000015-41100000041320.500510150010785782052869919883836024123411218.18%6266.67%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
29Wild2020000035-21010000023-11010000012-100.0003690010785782067869919883834611304111327.27%50100.00%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
30Wolf Pack3120000012102211000009631010000034-120.3331221331010785782010486991988383692312576116.67%6183.33%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
31Wolves421001001315-22100010055021100000810-250.625132538001078578201008699198838312755281249222.22%13376.92%01485291950.87%1465274753.33%706131353.77%2035141018846001065543
Total8239260537228221864411910033421421014141201602030140117231070.65228249677825107857820271686991988383240080272819623147523.89%3106678.71%21485291950.87%1465274753.33%706131353.77%2035141018846001065543
_Since Last GM Reset8239260537228221864411910033421421014141201602030140117231070.65228249677825107857820271686991988383240080272819623147523.89%3106678.71%21485291950.87%1465274753.33%706131353.77%2035141018846001065543
_Vs Conference5023170234117413737251160133185592625121101010897811620.62017431448824107857820168286991988383146248444612071784223.60%1904377.37%21485291950.87%1465274753.33%706131353.77%2035141018846001065543
_Vs Division26912003207781-4134400320383441358000003947-8250.481771342112110785782082786991988383795268244620982222.45%972673.20%01485291950.87%1465274753.33%706131353.77%2035141018846001065543

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82107OTL128249677827162400802728196225
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239265372282218
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119103342142101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120162030140117
Derniers 10 matchs
WLOTWOTL SOWSOL
610201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3147523.89%3106678.71%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
86991988383107857820
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
1485291950.87%1465274753.33%706131353.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2035141018846001065543


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 - 2025-09-2816Monsters1Admirals2LSommaire du match
5 - 2025-09-3033Monsters1Wild2LSommaire du match
7 - 2025-10-0245Comets5Monsters4LSommaire du match
10 - 2025-10-0567Eagles3Monsters4WXSommaire du match
12 - 2025-10-0782Crunch4Monsters5WXXSommaire du match
15 - 2025-10-10106Monsters5Stars3WSommaire du match
18 - 2025-10-13125Bears4Monsters5WXXSommaire du match
19 - 2025-10-14134Monsters2Penguins4LSommaire du match
22 - 2025-10-17152Monsters3Americans6LSommaire du match
23 - 2025-10-18166Marlies1Monsters2WSommaire du match
26 - 2025-10-21189Thunderbirds5Monsters1LSommaire du match
27 - 2025-10-22195Monsters2Sound Tigers5LSommaire du match
30 - 2025-10-25215Monsters2Heat1WXXSommaire du match
33 - 2025-10-28241Monsters3Canucks1WSommaire du match
35 - 2025-10-30254Monsters3Condors1WSommaire du match
36 - 2025-10-31264Monsters2Firebirds4LSommaire du match
38 - 2025-11-02274Condors5Monsters4LSommaire du match
40 - 2025-11-04290Wolf Pack4Monsters2LSommaire du match
42 - 2025-11-06305Rocket4Monsters3LSommaire du match
43 - 2025-11-07311Monsters5Moose3WSommaire du match
45 - 2025-11-09319Monsters4Marlies3WSommaire du match
47 - 2025-11-11335Monsters2Griffins1WXSommaire du match
49 - 2025-11-13356Monsters4Bears3WSommaire du match
51 - 2025-11-15369Marlies0Monsters5WSommaire du match
53 - 2025-11-17388Penguins0Monsters2WSommaire du match
56 - 2025-11-20406Monsters6Comets4WSommaire du match
59 - 2025-11-23432Griffins2Monsters4WSommaire du match
61 - 2025-11-25442Monsters7Checkers3WSommaire du match
62 - 2025-11-26459Monsters3Bears2WSommaire du match
64 - 2025-11-28471Monsters2Wolves5LSommaire du match
66 - 2025-11-30486Senators3Monsters1LSommaire du match
68 - 2025-12-02502Silver Knights3Monsters4WSommaire du match
71 - 2025-12-05525Gulls5Monsters2LSommaire du match
73 - 2025-12-07540Wild3Monsters2LSommaire du match
75 - 2025-12-09560Monsters5Gulls3WSommaire du match
77 - 2025-12-11574Monsters4Reign3WXXSommaire du match
83 - 2025-12-17603Sound Tigers1Monsters4WSommaire du match
84 - 2025-12-18606Monsters2Senators0WSommaire du match
86 - 2025-12-20627Comets3Monsters1LSommaire du match
89 - 2025-12-23646Americans1Monsters2WSommaire du match
90 - 2025-12-24658Penguins1Monsters2WXXSommaire du match
92 - 2025-12-26675Monsters7Barracuda1WSommaire du match
94 - 2025-12-28692Monsters1Silver Knights3LSommaire du match
96 - 2025-12-30699Monsters4Eagles3WSommaire du match
97 - 2025-12-31714Monsters2Roadrunners1WXSommaire du match
99 - 2026-01-02728Heat3Monsters4WXXSommaire du match
101 - 2026-01-04743Canucks4Monsters3LXXSommaire du match
103 - 2026-01-06760Monsters3Penguins1WSommaire du match
106 - 2026-01-09782Senators1Monsters5WSommaire du match
108 - 2026-01-11797Stars2Monsters4WSommaire du match
110 - 2026-01-13814Crunch2Monsters3WXSommaire du match
112 - 2026-01-15828Reign2Monsters5WSommaire du match
114 - 2026-01-17840Phantoms2Monsters1LXSommaire du match
116 - 2026-01-19858Monsters2IceHogs7LSommaire du match
117 - 2026-01-20868Monsters4Thunderbirds1WSommaire du match
120 - 2026-01-23887Monsters3Comets4LSommaire du match
121 - 2026-01-24894IceHogs1Monsters5WSommaire du match
143 - 2026-02-15918Monsters4Bruins6LSommaire du match
145 - 2026-02-17937Sound Tigers3Monsters2LSommaire du match
147 - 2026-02-19953Monsters3Wolf Pack4LSommaire du match
148 - 2026-02-20963Admirals1Monsters3WSommaire du match
150 - 2026-02-22978Checkers2Monsters11WSommaire du match
152 - 2026-02-24995Roadrunners0Monsters6WSommaire du match
155 - 2026-02-271015Monsters3Crunch2WXXSommaire du match
157 - 2026-03-011031Monsters5Checkers2WSommaire du match
159 - 2026-03-031052Monsters1Phantoms2LSommaire du match
162 - 2026-03-061070Wolves1Monsters2WSommaire du match
164 - 2026-03-081086Wolf Pack2Monsters7WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2026-03-101104Firebirds2Monsters3WSommaire du match
167 - 2026-03-111114Monsters2Sound Tigers5LSommaire du match
169 - 2026-03-131125Monsters2Phantoms3LSommaire du match
171 - 2026-03-151137Monsters6Rocket1WSommaire du match
173 - 2026-03-171158Barracuda2Monsters3WXSommaire du match
174 - 2026-03-181170Bruins2Monsters4WSommaire du match
176 - 2026-03-201185Wolves4Monsters3LXSommaire du match
178 - 2026-03-221197Monsters6Wolves5WSommaire du match
180 - 2026-03-241215Moose1Monsters4WSommaire du match
183 - 2026-03-271235Monsters6Griffins2WSommaire du match
185 - 2026-03-291247Monsters6Americans0WSommaire du match
187 - 2026-03-311271Monsters2Rocket5LSommaire du match
188 - 2026-04-011278Bruins3Monsters2LXXSommaire du match
190 - 2026-04-031295Bears4Monsters3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance114,00476,907
Assistance PCT92.69%93.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 4656 - 93.13% 142,571$5,845,408$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,275,406$ 2,805,000$ 2,805,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,775,498$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,124$ 0$




Monsters Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Monsters Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Monsters Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Monsters Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Monsters Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA