Please rotate your device to landscape mode for a better experience.
Connexion

Monsters
GP: 8 | W: 2 | L: 5 | OTL: 1 | P: 5
GF: 26 | GA: 45 | PP%: 15.79% | PK%: 66.67%
DG: Simon Latour | Morale : 36 | Moyenne d’équipe : 61
Prochains matchs #178 vs Henderson Silver Knights

Centre de jeu
Monsters
2-5-1, 5pts
4
5 Wild
9-2-0, 18pts
Team Stats
L1SéquenceW7
2-4-0Fiche domicile4-0-0
0-1-1Fiche domicile5-2-0
2-5-1Derniers 10 matchs9-1-0
3.25Buts par match 4.45
5.63Buts contre par match 2.82
15.79%Pourcentage en avantage numérique23.26%
66.67%Pourcentage en désavantage numérique83.87%
Toronto Marlies
4-7-1, 9pts
4
3 Monsters
2-5-1, 5pts
Team Stats
OTL1SéquenceL1
2-5-1Fiche domicile2-4-0
2-2-0Fiche domicile0-1-1
4-5-1Derniers 10 matchs2-5-1
2.33Buts par match 3.25
6.67Buts contre par match 5.63
25.00%Pourcentage en avantage numérique15.79%
77.42%Pourcentage en désavantage numérique66.67%
Henderson Silver Knights
8-3-1, 17pts
2026-10-24
Monsters
2-5-1, 5pts
Statistiques d’équipe
L1SéquenceL1
6-1-0Fiche domicile2-4-0
2-2-1Fiche visiteur0-1-1
6-3-110 derniers matchs2-5-1
5.58Buts par match 3.25
2.33Buts contre par match 3.25
26.92%Pourcentage en avantage numérique15.79%
72.22%Pourcentage en désavantage numérique66.67%
Monsters
2-5-1, 5pts
2026-10-27
Phantoms
5-4-3, 13pts
Statistiques d’équipe
L1SéquenceW1
2-4-0Fiche domicile3-2-1
0-1-1Fiche visiteur2-2-2
2-5-110 derniers matchs4-3-3
3.25Buts par match 3.33
5.63Buts contre par match 3.33
15.79%Pourcentage en avantage numérique21.28%
66.67%Pourcentage en désavantage numérique71.43%
Monsters
2-5-1, 5pts
2026-10-29
Chicago Wolves
8-4-0, 16pts
Statistiques d’équipe
L1SéquenceW5
2-4-0Fiche domicile2-2-0
0-1-1Fiche visiteur6-2-0
2-5-110 derniers matchs8-2-0
3.25Buts par match 3.58
5.63Buts contre par match 3.58
15.79%Pourcentage en avantage numérique24.00%
66.67%Pourcentage en désavantage numérique83.67%
Meneurs d'équipe
Konsta HeleniusButs
Konsta Helenius
5
Pierre-Olivier JosephPasses
Pierre-Olivier Joseph
6
Andre LeePoints
Andre Lee
8
Leo LoofPlus/Moins
Leo Loof
4
Aku KoskenvuoVictoires
Aku Koskenvuo
2
Aku KoskenvuoPourcentage d’arrêts
Aku Koskenvuo
0.873

Statistiques d’équipe
Buts pour
26
3.25 GFG
Tirs pour
268
33.50 Avg
Pourcentage en avantage numérique
15.8%
3 GF
Début de zone offensive
38.2%
Buts contre
45
5.63 GAA
Tirs contre
375
46.88 Avg
Pourcentage en désavantage numérique
66.7%%
8 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralSimon Latour
EntraîneurKirk MacDonald
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,760
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure22
Limite contact 41 / 60
Espoirs12


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
1Konsta Helenius0X100.00643789667084866568676162636062039640211975,000$
2Andre Lee0X100.007742796288788657555960625866680396302721,000,000$
3Dylan Gambrell0X100.006037876269857661696360656270720336303121,000,000$
4Landon Slaggert0X100.006939866770788563576059686264650396302521,000,000$
5Andrew Agozzino0XX100.006938786068838157635961585675770336203621,000,000$
6Anton Blidh0X100.007841686176788659576256586071730336203221,000,000$
7Mark Senden0X100.006238885871738156615755595468700336002921,000,000$
8Tristan Allard0X100.006842725877748155605756595464660396002521,000,000$
9Filip Mesar0X100.00563788586574815762595653586264039590231925,000$
10Zachary Gallant0X100.006953625778716954585655535767690395802821,000,000$
11Pierre-Olivier Joseph0X100.006638786977847466306753615068670396302821,000,000$
12Mike Benning0X100.005737816568858464306662605264660396302521,000,000$
13Corey Schueneman0X100.006137885973818657305853614771730336103121,000,000$
14William Villeneuve0X100.006540736277848258306353614764660396102521,000,000$
15Kyle Marino0X100.007873525787688556515455585271730336003221,000,000$
16Sebastian D. Aho0X100.005737856366657059306552564770720336003121,000,000$
17Mitchell Vande Sompel0X100.006337895772626856305553584669710395903021,000,000$
18Leo Loof0X100.006741735676638053305552574564660395802521,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0066417961747680594860565954676903761
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
1Aku Koskenvuo0100.0065747081646365646365646369031600241924,000$
Rayé
MOYENNE D’ÉQUIPE100.006574708164636564636564636903160
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk MacDonald72717363656084CAN4222,500,000$


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
1Nikita NesterenkoBlue JacketsC54592607182041520.00%110921.950113110001171050.00%11600001.6400000210
2Andre LeeMonsters (CBJ)LW6448340217279614.81%010818.04000211000060055.56%900001.4800000101
3Lukas ReichelBlue JacketsC/LW5448-2206222542016.00%412224.571015120001170047.64%19100001.3000000000
4Landon SlaggertMonsters (CBJ)LW6448-260141030141713.33%112420.69112414000021050.00%1800001.2900000001
5Trey Fix-WolanskyBlue JacketsRW516700088263103.85%110821.62000512011070012.50%800001.3000000000
6Konsta HeleniusMonsters (CBJ)C65273003152851317.86%39616.1300000101380058.42%10100001.4500000020
7Pierre-Olivier JosephMonsters (CBJ)D6066-160141313270%1314624.34022715000216000%000000.8200000000
8Tristan AllardMonsters (CBJ)C605510066133120%29415.7500000000000064.71%1700001.0600000000
9William VilleneuveMonsters (CBJ)D622406019393722.22%1012320.60101210000017000%000000.6500000100
10Filip MesarMonsters (CBJ)RW61343003773614.29%010116.95011011000000040.00%1000000.7900000000
11Mike BenningMonsters (CBJ)D6033-1607614750%1514424.15011415011016000%000000.4100000000
12Leo LoofMonsters (CBJ)D602241202854250%89515.910000100005000%000000.4200000000
13Zachary GallantMonsters (CBJ)C61121407698511.11%29015.0400000000020070.00%1000000.4400000000
14Mitchell Vande SompelMonsters (CBJ)D6011020721150%912120.24000010000015000%000000.1600000000
Statistiques d’équipe totales ou en moyenne81264874115401501282266813311.50%69158719.603693212812371322051.04%48000000.9300000432
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
1Aku KoskenvuoMonsters (CBJ)62300.8734.9229300241890000060000
Statistiques d’équipe totales ou en moyenne62300.8734.922930024189000060000


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Aku KoskenvuoMonsters (CBJ)G242003-02-26FINNo173 Lbs193 CMNoNoFree AgentNoNo12026-07-25FalseFalsePro & Farm924,000$0$0$No---------------------------Lien / Lien NHL
Andre LeeMonsters (CBJ)LW272000-07-26SWENo210 Lbs193 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Andrew AgozzinoMonsters (CBJ)C/LW361991-01-03CANNo187 Lbs178 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Anton BlidhMonsters (CBJ)LW321995-03-14SWENo191 Lbs185 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Corey SchuenemanMonsters (CBJ)D311995-09-02USANo197 Lbs180 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Dylan GambrellMonsters (CBJ)C311996-08-26USANo185 Lbs180 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Filip MesarMonsters (CBJ)RW232004-01-03SVKNo176 Lbs175 CMNoNoTrade2025-09-03NoNo12025-08-24FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Konsta HeleniusMonsters (CBJ)C212006-05-11FINNo190 Lbs180 CMNoNoTrade2026-07-23NoNo12025-08-17FalseFalsePro & Farm975,000$0$0$No---------------------------Lien / Lien NHL
Kyle MarinoMonsters (CBJ)D321995-06-01CANNo220 Lbs191 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Landon SlaggertMonsters (CBJ)LW252002-06-25USANo180 Lbs183 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Leo LoofMonsters (CBJ)D252002-04-25SWENo176 Lbs188 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Mark SendenMonsters (CBJ)C291998-01-22USANo201 Lbs178 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Mike BenningMonsters (CBJ)D252002-01-05CANNo185 Lbs175 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Mitchell Vande SompelMonsters (CBJ)D301997-02-11CANNo198 Lbs180 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Pierre-Olivier JosephMonsters (CBJ)D281999-07-01CANNo185 Lbs188 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Sebastian D. AhoMonsters (CBJ)D311996-02-17SWENo180 Lbs178 CMNoNoFantasy DraftYesYes22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Tristan AllardMonsters (CBJ)C252002-06-23CANNo200 Lbs185 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
William VilleneuveMonsters (CBJ)D252002-03-20CANNo183 Lbs188 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Zachary GallantMonsters (CBJ)C281999-03-06CANNo188 Lbs188 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1927.79190 Lbs183 CM1.84990,737$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Landon Slaggert40122
2Andre LeeFilip Mesar30122
3Tristan AllardKonsta HeleniusZachary Gallant20122
4Tristan Allard10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike BenningPierre-Olivier Joseph40122
2William VilleneuveMitchell Vande Sompel30122
3Leo Loof20122
4Mike BenningPierre-Olivier Joseph10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Landon Slaggert60122
2Andre LeeFilip Mesar40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike BenningPierre-Olivier Joseph60122
2William VilleneuveMitchell Vande Sompel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Konsta Helenius40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike BenningPierre-Olivier Joseph60122
2William VilleneuveMitchell Vande Sompel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Mike BenningPierre-Olivier Joseph60122
240122William VilleneuveMitchell Vande Sompel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Konsta Helenius40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike BenningPierre-Olivier Joseph60122
2William VilleneuveMitchell Vande Sompel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Landon SlaggertMike BenningPierre-Olivier Joseph
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Landon SlaggertMike BenningPierre-Olivier Joseph
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zachary Gallant, Landon Slaggert, Andre LeeZachary Gallant, Landon SlaggertAndre Lee
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Leo Loof, William Villeneuve, Mitchell Vande SompelLeo LoofWilliam Villeneuve, Mitchell Vande Sompel
Tirs de pénalité
, , Konsta Helenius, , Landon Slaggert
Gardien
#1 : Aku Koskenvuo, #2 :
Lignes d’attaque personnalisées en prolongation
, , Konsta Helenius, , Landon Slaggert, Andre Lee, Tristan Allard, Filip Mesar, Zachary Gallant,
Lignes de défense personnalisées en prolongation
Mike Benning, Pierre-Olivier Joseph, William Villeneuve, Mitchell Vande Sompel, Leo Loof


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
1Charlotte Checkers11000000431110000004310000000000021.0004711001286028105847903381015200.00%4175.00%011426443.18%11127939.78%6114841.22%155104226589844
2Penguins11000000826110000008260000000000021.00081624001286052105847902576252150.00%30100.00%011426443.18%11127939.78%6114841.22%155104226589844
3Rochester Americans10100000010-1010100000010-100000000000000.000000001286018105847907824021200.00%000%011426443.18%11127939.78%6114841.22%155104226589844
4Thunderbirds1010000057-2000000000001010000057-200.0005914001286036105847904616622300.00%220.00%011426443.18%11127939.78%6114841.22%155104226589844
5Toronto Marlies1010000034-11010000034-10000000000000.0003470012860331058479052206362150.00%3166.67%011426443.18%11127939.78%6114841.22%155104226589844
6Tucson Roadrunners1010000007-71010000007-70000000000000.000000001286023105847906724020200.00%000%011426443.18%11127939.78%6114841.22%155104226589844
7Wild1000010045-1000000000001000010045-110.50048120012860441058479043111624100.00%7271.43%111426443.18%11127939.78%6114841.22%155104226589844
8Wolf Pack1010000027-51010000027-50000000000000.0002460012860341058479031710285120.00%5260.00%011426443.18%11127939.78%6114841.22%155104226589844
Total825001002645-19624000001733-1620100100912-350.3132648740012860268105847903751175419119315.79%24866.67%111426443.18%11127939.78%6114841.22%155104226589844
_Since Last GM Reset825001002645-19624000001733-1620100100912-350.3132648740012860268105847903751175419119315.79%24866.67%111426443.18%11127939.78%6114841.22%155104226589844
_Vs Conference523000001726-9523000001726-90000000000040.400173148001286016510584790219663212513323.08%15473.33%011426443.18%11127939.78%6114841.22%155104226589844
_Vs Division2110000010912110000010910000000000020.50010203000128608610584790561416537228.57%8275.00%011426443.18%11127939.78%6114841.22%155104226589844

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
85L12648742683751175419100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
82501002645
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62400001733
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2010100912
Derniers 10 matchs
WLOTWOTL SOWSOL
250100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
19315.79%24866.67%1
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
1058479012860
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
11426443.18%11127939.78%6114841.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155104226589844


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 - 2026-10-0110Rochester Americans10Monsters0LSommaire du match
5 - 2026-10-0326Tucson Roadrunners7Monsters0LSommaire du match
11 - 2026-10-0967Penguins2Monsters8WSommaire du match
12 - 2026-10-1082Monsters5Thunderbirds7LSommaire du match
15 - 2026-10-13104Charlotte Checkers3Monsters4WSommaire du match
19 - 2026-10-17129Wolf Pack7Monsters2LSommaire du match
20 - 2026-10-18136Monsters4Wild5LXSommaire du match
22 - 2026-10-20142Toronto Marlies4Monsters3LSommaire du match
26 - 2026-10-24178Henderson Silver Knights-Monsters-
29 - 2026-10-27196Monsters-Phantoms-
31 - 2026-10-29209Monsters-Chicago Wolves-
33 - 2026-10-31224Monsters-Texas Stars-
36 - 2026-11-03244Colorado Eagles-Monsters-
38 - 2026-11-05259Texas Stars-Monsters-
39 - 2026-11-06264Monsters-Rochester Americans-
43 - 2026-11-10292Charlotte Checkers-Monsters-
45 - 2026-11-12301Syracruse Crunch-Monsters-
47 - 2026-11-14314Phantoms-Monsters-
50 - 2026-11-17340Monsters-Bridgeport Islanders-
52 - 2026-11-19351Monsters-IceHogs-
53 - 2026-11-20362Monsters-Toronto Marlies-
55 - 2026-11-22379Monsters-Utica Comets-
57 - 2026-11-24388Utica Comets-Monsters-
58 - 2026-11-25409Griffins-Monsters-
61 - 2026-11-28433Monsters-Penguins-
64 - 2026-12-01451Monsters-Chicago Wolves-
66 - 2026-12-03464Monsters-Admirals-
68 - 2026-12-05485Monsters-Syracruse Crunch-
71 - 2026-12-08499Wild-Monsters-
73 - 2026-12-10523Laval Rocket-Monsters-
74 - 2026-12-11528Monsters-Wolf Pack-
76 - 2026-12-13537Chicago Wolves-Monsters-
78 - 2026-12-15556Coachella Valley Firebirds-Monsters-
80 - 2026-12-17574Ontario Reign-Monsters-
82 - 2026-12-19588Monsters-Phantoms-
83 - 2026-12-20597Laval Rocket-Monsters-
84 - 2026-12-21609Monsters-Bears-
85 - 2026-12-22613Condors-Monsters-
87 - 2026-12-24630Monsters-Laval Rocket-
89 - 2026-12-26643Bears-Monsters-
91 - 2026-12-28655Bruins-Monsters-
92 - 2026-12-29669Monsters-Wolf Pack-
94 - 2026-12-31683Wolf Pack-Monsters-
96 - 2027-01-02702Monsters-Utica Comets-
97 - 2027-01-03705Rochester Americans-Monsters-
101 - 2027-01-07734Monsters-Calgary Wranglers-
104 - 2027-01-10755Monsters-Condors-
105 - 2027-01-11767Monsters-Abbotsford Canucks-
107 - 2027-01-13778Monsters-Coachella Valley Firebirds-
110 - 2027-01-16801Calgary Wranglers-Monsters-
112 - 2027-01-18814Monsters-Belleville Senators-
113 - 2027-01-19826San Diego Gulls-Monsters-
115 - 2027-01-21843Monsters-Bruins-
117 - 2027-01-23853Moose-Monsters-
119 - 2027-01-25876Griffins-Monsters-
124 - 2027-01-30895Monsters-Toronto Marlies-
125 - 2027-01-31898Monsters-Belleville Senators-
127 - 2027-02-02905Belleville Senators-Monsters-
129 - 2027-02-04916Monsters-Bruins-
131 - 2027-02-06936Monsters-Colorado Eagles-
133 - 2027-02-08947Monsters-Tucson Roadrunners-
134 - 2027-02-09960Monsters-Henderson Silver Knights-
136 - 2027-02-11969Admirals-Monsters-
138 - 2027-02-13986Bridgeport Islanders-Monsters-
142 - 2027-02-171014Utica Comets-Monsters-
143 - 2027-02-181029Bridgeport Islanders-Monsters-
145 - 2027-02-201037Chicago Wolves-Monsters-
147 - 2027-02-221050Monsters-Barracuda-
149 - 2027-02-241066Monsters-Ontario Reign-
151 - 2027-02-261082Monsters-San Diego Gulls-
155 - 2027-03-021107Abbotsford Canucks-Monsters-
157 - 2027-03-041132Barracuda-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
160 - 2027-03-071149Penguins-Monsters-
162 - 2027-03-091161Monsters-Griffins-
164 - 2027-03-111184Monsters-Moose-
166 - 2027-03-131195Monsters-Penguins-
169 - 2027-03-161223IceHogs-Monsters-
171 - 2027-03-181229Thunderbirds-Monsters-
174 - 2027-03-211254Monsters-Charlotte Checkers-
176 - 2027-03-231269Monsters-Syracruse Crunch-
178 - 2027-03-251281Monsters-Bears-
181 - 2027-03-281303Bears-Monsters-
183 - 2027-03-301324Phantoms-Monsters-
185 - 2027-04-011332Monsters-Bridgeport Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance11,0475,513
Assistance PCT92.06%91.88%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2760 - 92.00% 114,206$685,236$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
591,237$ 1,882,400$ 1,882,400$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 266,901$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,111,416$ 161 23,689$ 3,813,929$




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