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Monsters
GP: 25 | W: 13 | L: 8 | OTL: 4 | P: 30
GF: 90 | GA: 88 | PP%: 30.38% | PK%: 78.75%
DG: Jean Francois Langelier | Morale : 49 | Moyenne d’équipe : 63
Prochains matchs #452 vs Thunderbirds

Centre de jeu
Monsters
13-8-4, 30pts
4
5 Canucks
16-11-2, 34pts
Team Stats
L2SéquenceOTW1
8-4-3Fiche domicile8-4-2
5-4-1Fiche domicile8-7-0
4-5-1Derniers 10 matchs7-3-0
3.60Buts par match 3.34
3.52Buts contre par match 3.69
30.38%Pourcentage en avantage numérique23.46%
78.75%Pourcentage en désavantage numérique76.00%
Eagles
14-9-4, 32pts
5
3 Monsters
13-8-4, 30pts
Team Stats
W3SéquenceL2
10-4-1Fiche domicile8-4-3
4-5-3Fiche domicile5-4-1
8-0-2Derniers 10 matchs4-5-1
3.78Buts par match 3.60
3.44Buts contre par match 3.52
35.71%Pourcentage en avantage numérique30.38%
80.00%Pourcentage en désavantage numérique78.75%
Monsters
13-8-4, 30pts
2025-10-27
Thunderbirds
15-12-1, 31pts
Statistiques d’équipe
L2SéquenceW3
8-4-3Fiche domicile7-6-1
5-4-1Fiche visiteur8-6-0
4-5-110 derniers matchs6-4-0
3.60Buts par match 3.36
3.52Buts contre par match 3.36
30.38%Pourcentage en avantage numérique16.46%
78.75%Pourcentage en désavantage numérique72.48%
Wranglers
17-11-1, 35pts
2025-10-28
Monsters
13-8-4, 30pts
Statistiques d’équipe
W2SéquenceL2
8-7-0Fiche domicile8-4-3
9-4-1Fiche visiteur5-4-1
6-4-010 derniers matchs4-5-1
3.41Buts par match 3.60
3.03Buts contre par match 3.60
24.72%Pourcentage en avantage numérique30.38%
77.27%Pourcentage en désavantage numérique78.75%
Monsters
13-8-4, 30pts
2025-11-01
StarsF
16-11-2, 34pts
Statistiques d’équipe
L2SéquenceW1
8-4-3Fiche domicile7-7-0
5-4-1Fiche visiteur9-4-2
4-5-110 derniers matchs5-4-1
3.60Buts par match 3.55
3.52Buts contre par match 3.55
30.38%Pourcentage en avantage numérique25.32%
78.75%Pourcentage en désavantage numérique81.11%
Meneurs d'équipe
Buts
Taylor Ward
11
Passes
Ryan Merkley
21
Points
Ryan Merkley
24
Plus/Moins
Anttoni Honka
11
Victoires
Zane McIntyre
8
Pourcentage d’arrêts
Rudyn Gazizol
0.89

Statistiques d’équipe
Buts pour
90
3.60 GFG
Tirs pour
711
28.44 Avg
Pourcentage en avantage numérique
30.4%
24 GF
Début de zone offensive
38.7%
Buts contre
88
3.52 GAA
Tirs contre
744
29.76 Avg
Pourcentage en désavantage numérique
78.8%%
17 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur généralJean Francois Langelier
EntraîneurKen Hitchcock
DivisionDivision Centrale
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite Contrat50 / 56
Espoirs19


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
1Hudson Fasching0XX100.0071469174747879726169687067665442566603111,300,000$
2Drake Caggiula91XXX100.0069458471697784707672687163715638566603211,300,000$
3Brendan Gaunce0XXX100.0071459071767577727471667265664834566503211,300,000$
4Egor Afanasyev0XX100.007045927273777772616970726348466645650252750,000$
5Alexander Burmistrov0XX100.0061469570707278687167667062745826466403521,200,000$
6Morgan Klimchuk0XX100.0074478770707071725968707068634738566403131,000,000$
7Vyacheslav Leshchenko0XX97.3970459272697572696067696767605038466403131,000,000$
8Taylor Ward (R)0X100.006850937772697673507169706345454056640281900,000$
9Justin Dowling0XXX100.0065459373687278707367667365644722566403621,200,000$
10Josh Ho-Sang0XX100.005945957169736969596966686465494256630303900,000$
11Yegor Spiridonov0X100.007045907270727270726058755348456646620252750,000$
12Bryce Brodzinski0XX100.006951767269727264626664636048466656610262750,000$
13Brett Kulak0X100.0061458674716792724571657763876334536703231,500,000$
14Nico Gross0X100.007146837370747071456662725650476256640261750,000$
15Ryan Merkley0X100.006546827268777771457363715648466643640262750,000$
16Antti Tuomisto0X100.006954767271727268456963715548476645630252750,000$
17Anttoni Honka0X100.006245877268727171456866676048466656630262750,000$
18Mikko Kokkonen0X100.006045917270727268456561726048466656630252750,000$
Rayé
1Rourke Chartier0X100.0059459671737563707470656863584542276303031,000,000$
2Michael Sgarbossa0X100.005946997070716970716769706755503025630343900,000$
3Markus Granlund0XX100.0056449970697175686165667164715830366303321,200,000$
4Teemu Pulkkinen0XX100.005745997069706969596667726554492625620341650,000$
5Pavel Karnaukhov0XX100.007045907175686469636566666448454625620291650,000$
6Zach Gallant0X100.008257547475646566726162686057515825610271800,000$
7Juuso Riikola7X100.0066469372717681704570677065614734446503231,300,000$
8Petter Granberg0X100.006245966973696868456462686053463025620342900,000$
9John Ramage0X100.006349956970666668456466706151492225620352900,000$
10Jakub Jerabek0X100.006045967071686869456666686449462225620351650,000$
11Philip Samuelsson0X100.006146946972686666456264686247452625610352900,000$
MOYENNE D’ÉQUIPE99.90664789727172736958676670625749434363
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
1Zane McIntyre0100.007875737978778380808276475030626303431,000,000$
2Rudyn Gazizol0100.00757877747571767375757950553062610223900,000$
Rayé
1Brent Moran0100.00798266817665836868757347495438590303500,000$
MOYENNE D’ÉQUIPE100.0077787278767181747477764851385461
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock6378866599994CAN762100,000$


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
1Ryan MerkleyMonsters (Clb)D23321241022024212382113.04%2247320.600881252000053000%000001.0100000221
2Brendan GaunceMonsters (Clb)C/LW/RW2591423-26030365593916.36%544917.99448959000013051.47%57700001.0201000123
3Taylor WardMonsters (Clb)RW25111021-2100173166285816.67%244217.702461058000002238.46%2600010.9500000320
4Mikko KokkonenMonsters (Clb)D25415191160151427101914.81%2850620.272461359000057010%000000.7500000001
5Hudson FaschingMonsters (Clb)LW/RW2581119512042298517589.41%545318.135382358000001156.76%3700000.8413000003
6Drake CaggiulaMonsters (Clb)C/LW/RW25712194100314568253810.29%545818.3628101858000002054.03%58300000.8313000101
7Vyacheslav LeshchenkoMonsters (Clb)LW/RW248715-480192147162417.02%242117.566171357000001041.67%2400000.7100000110
8Anttoni HonkaMonsters (Clb)D25310131110023163510108.57%3451620.671341557000165100%000000.5000000000
9Morgan KlimchukMonsters (Clb)LW/RW255611-68027213973612.82%132513.01000000110100139.13%2300000.6811000110
10Egor AfanasyevMonsters (Clb)LW/RW1483116605144082320.00%224717.68101825101370042.86%2100000.8911000100
11Juuso RiikolaMonsters (Clb)D162810212012112071510.00%1933420.881121037000042000%000000.6000000010
12Brett KulakMonsters (Clb)D25189-1620171913867.69%3248619.4501104000015000%000000.3700000001
13Yegor SpiridonovMonsters (Clb)C22459-400133836122611.11%432214.65000000000540151.12%40100000.5600000110
14Markus GranlundMonsters (Clb)LW/RW11279-14027299216.90%120318.47044528000000160.00%2000000.8901000120
15Bryce BrodzinskiMonsters (Clb)LW/RW25538-580281329102017.24%839715.89011050001622053.85%2600000.4000000002
16Nico GrossMonsters (Clb)D25167-132204615108610.00%3048219.2900001000025000%000000.2900000000
17Alexander BurmistrovMonsters (Clb)LW/RW25235-10011101531913.33%72058.21000010000580029.41%1700000.4900000001
18Antti TuomistoMonsters (Clb)D111450402210132107.69%1621019.17011826000018000%000000.4700000010
19Josh Ho-SangMonsters (Clb)LW/RW2513400047218134.76%21666.6600003000050030.77%1300000.4800000010
20Justin DowlingMonsters (Clb)C/LW/RW25224-1401528265157.69%32259.02000000000710045.39%29300000.3501000000
21Rourke ChartierMonsters (Clb)C3112-10016100310.00%04916.3400000000180052.31%6500000.8200000000
22Teemu PulkkinenMonsters (Clb)LW/RW11010000140225.00%01818.42000010000000100.00%100001.0900000000
Statistiques d’équipe totales ou en moyenne45089159248-17164040441371121048212.52%228739716.44244367144597112655912750.73%212700010.67411000121413
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
1Zane McIntyreMonsters (Clb)168620.8813.3696520544540100.3333169000
2Rudyn GazizolMonsters (Clb)95220.8903.4955020322900100.5008916100
Statistiques d’équipe totales ou en moyenne2513840.8843.4015164086744020112525100


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
Alexander BurmistrovMonsters (Clb)LW/RW351991-10-21RUSNo187 Lbs6 ft0NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Antti TuomistoMonsters (Clb)D252001-01-20FINNo194 Lbs6 ft4NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Anttoni HonkaMonsters (Clb)D262000-10-05FINNo184 Lbs5 ft11NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Brendan GaunceMonsters (Clb)C/LW/RW321994-03-25CANNo219 Lbs6 ft3NoNoFree AgentNoNo12025-07-06FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Brent MoranMonsters (Clb)G301996-07-05CANNo195 Lbs6 ft4NoNoN/ANoNo32026-04-29FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Brett KulakMonsters (Clb)D321994-01-06CANNo192 Lbs6 ft1NoNoFree AgentNoNo32026-07-03FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Bryce BrodzinskiMonsters (Clb)LW/RW262000-08-09USANo197 Lbs6 ft0NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Drake CaggiulaMonsters (Clb)C/LW/RW321994-06-20CANNo179 Lbs5 ft10NoNoFree AgentNoNo12025-07-06FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Egor AfanasyevMonsters (Clb)LW/RW252001-01-23RUSNo211 Lbs6 ft4NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Hudson FaschingMonsters (Clb)LW/RW311995-07-28USANo209 Lbs6 ft3NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Jakub JerabekMonsters (Clb)D351991-05-12CZENo194 Lbs5 ft10NoNoFree AgentNoNo12026-07-15FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
John RamageMonsters (Clb)D351991-02-07CANNo189 Lbs6 ft0NoNoFree Agent2025-01-03NoNo22025-07-21FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Josh Ho-SangMonsters (Clb)LW/RW301996-01-22CANNo174 Lbs6 ft0NoNoFree AgentNoNo32026-07-13FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Justin DowlingMonsters (Clb)C/LW/RW361990-10-01CANNo180 Lbs5 ft10NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Juuso RiikolaMonsters (Clb)D321993-11-09FINNo189 Lbs6 ft0NoNoFree Agent2025-11-19NoNo32026-07-08FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Markus GranlundMonsters (Clb)LW/RW331993-04-16FINNo187 Lbs5 ft10NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Michael SgarbossaMonsters (Clb)C341992-07-25CANNo179 Lbs6 ft0NoNoFree AgentNoNo32026-07-13FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Mikko KokkonenMonsters (Clb)D252001-01-18FINNo200 Lbs6 ft0NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Morgan KlimchukMonsters (Clb)LW/RW311995-03-02CANNo180 Lbs6 ft0NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Nico GrossMonsters (Clb)D262000-01-26SUINo183 Lbs6 ft1NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Pavel KarnaukhovMonsters (Clb)LW/RW291997-03-15BLRNo211 Lbs6 ft2NoNoFree AgentNoNo12026-07-15FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Petter GranbergMonsters (Clb)D341992-08-27SWENo205 Lbs6 ft2NoNoTrade2026-01-07NoNo22025-08-01FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Philip SamuelssonMonsters (Clb)D351991-07-26SWENo194 Lbs6 ft2NoNoFree AgentNoNo22025-07-21FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Rourke ChartierMonsters (Clb)C301996-04-03CANNo205 Lbs6 ft0NoNoFree AgentNoNo32026-07-13FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Rudyn GazizolMonsters (Clb)G222004-01-21RUSNo182 Lbs5 ft10NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Ryan MerkleyMonsters (Clb)D262000-08-14CANNo186 Lbs6 ft0NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Taylor WardMonsters (Clb)RW281998-03-31CANYes215 Lbs6 ft2NoNoFree AgentNoNo12026-05-11FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Teemu PulkkinenMonsters (Clb)LW/RW341992-01-02FINNo185 Lbs5 ft10NoNoFree AgentNoNo12026-07-15FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Vyacheslav LeshchenkoMonsters (Clb)LW/RW311995-04-24RUSNo171 Lbs6 ft0NoNoFree Agent2025-02-01NoNo32026-07-08FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Yegor SpiridonovMonsters (Clb)C252001-01-22RUSNo192 Lbs6 ft2NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Zach GallantMonsters (Clb)C271999-03-06CANNo192 Lbs6 ft2NoNoTrade2025-05-13NoNo12024-04-29FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Zane McIntyreMonsters (Clb)G341992-08-20USANo205 Lbs6 ft2NoNoFree Agent2026-02-13NoNo32026-07-06FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3230.19193 Lbs6 ft12.03932,813$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hudson FaschingDrake CaggiulaEgor Afanasyev32014
2Vyacheslav LeshchenkoBrendan GaunceTaylor Ward31014
3Bryce BrodzinskiYegor SpiridonovMorgan Klimchuk27023
4Alexander BurmistrovJustin DowlingJosh Ho-Sang10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakNico Gross36023
2Ryan MerkleyAnttoni Honka32023
3Mikko KokkonenAntti Tuomisto32023
4Brett KulakRyan Merkley0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hudson FaschingDrake CaggiulaEgor Afanasyev50005
2Vyacheslav LeshchenkoBrendan GaunceTaylor Ward50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MerkleyAnttoni Honka50005
2Mikko KokkonenAntti Tuomisto50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Yegor SpiridonovBryce Brodzinski50050
2Justin DowlingAlexander Burmistrov50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko KokkonenAntti Tuomisto50050
2Ryan MerkleyAnttoni Honka50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Dowling50050Mikko KokkonenAntti Tuomisto50050
2Alexander Burmistrov50050Ryan MerkleyAnttoni Honka50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Drake CaggiulaEgor Afanasyev50023
2Brendan GaunceTaylor Ward50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakNico Gross50023
2Ryan MerkleyAnttoni Honka50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hudson FaschingDrake CaggiulaEgor AfanasyevBrett KulakRyan Merkley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hudson FaschingDrake CaggiulaEgor AfanasyevBrett KulakRyan Merkley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bryce Brodzinski, Vyacheslav Leshchenko, Morgan KlimchukBryce Brodzinski, Vyacheslav LeshchenkoMorgan Klimchuk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Anttoni Honka, Antti Tuomisto, Nico GrossAnttoni HonkaAntti Tuomisto, Nico Gross
Tirs de pénalité
Hudson Fasching, Drake Caggiula, Egor Afanasyev, Brendan Gaunce, Justin Dowling
Gardien
#1 : Zane McIntyre, #2 : Rudyn Gazizol


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
TotalDomicile Visiteur
# 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 RI
1Barracuda11000000523110000005230000000000021.000571200312830430240220241212036134250.00%30100.00%141181350.55%42384749.94%24544155.56%584396603186328163
2Bears11000000312000000000001100000031221.00035800312830427240220241213414818200.00%40100.00%041181350.55%42384749.94%24544155.56%584396603186328163
3BruinsF11000000431110000004310000000000021.000481200312830445240220241211964196233.33%20100.00%041181350.55%42384749.94%24544155.56%584396603186328163
4Canucks311000011213-1210000018801010000045-130.5001221330031283049724022024121962824475240.00%11372.73%041181350.55%42384749.94%24544155.56%584396603186328163
5Comets11000000734110000007340000000000021.0007142100312830437240220241212786173133.33%3166.67%041181350.55%42384749.94%24544155.56%584396603186328163
6Condors11000000211000000000001100000021121.0002460031283042924022024121209413700.00%20100.00%041181350.55%42384749.94%24544155.56%584396603186328163
7Eagles20200000711-420200000711-40000000000000.000713200031283044324022024121642218385240.00%8450.00%041181350.55%42384749.94%24544155.56%584396603186328163
8Griffins1010000013-2000000000001010000013-200.00012300312830419240220241212312101111100.00%30100.00%041181350.55%42384749.94%24544155.56%584396603186328163
9Gulls210001009721000010045-11100000052330.750917260031283046024022024121781912295120.00%6266.67%041181350.55%42384749.94%24544155.56%584396603186328163
10Icehogs1000000156-1000000000001000000156-110.50058130031283043224022024121368413100.00%20100.00%041181350.55%42384749.94%24544155.56%584396603186328163
11Marlies11000000651110000006510000000000021.0006101600312830424240220241214091023100.00%50100.00%041181350.55%42384749.94%24544155.56%584396603186328163
12Phantoms1010000013-2000000000001010000013-200.0001230031283042324022024121359189300.00%9277.78%041181350.55%42384749.94%24544155.56%584396603186328163
13Roadrunners1000010034-11000010034-10000000000010.5003690031283042824022024121405895240.00%40100.00%041181350.55%42384749.94%24544155.56%584396603186328163
14Silver Knights11000000321110000003210000000000021.000369003128304202402202412125104132150.00%20100.00%041181350.55%42384749.94%24544155.56%584396603186328163
15StarsF2110000057-21010000025-31100000032120.5005813003128304552402202412151226365240.00%3166.67%041181350.55%42384749.94%24544155.56%584396603186328163
16Thunderbirds22000000844110000005231100000032141.000814220031283046324022024121581384214535.71%40100.00%041181350.55%42384749.94%24544155.56%584396603186328163
17Wolf Pack1010000026-4000000000001010000026-400.00023500312830418240220241213713816200.00%4250.00%041181350.55%42384749.94%24544155.56%584396603186328163
18Wolves10000010541100000105410000000000021.0005712003128304272402202412121108153133.33%4250.00%041181350.55%42384749.94%24544155.56%584396603186328163
19Wranglers1010000023-11010000023-10000000000000.00024600312830434240220241212082235240.00%10100.00%041181350.55%42384749.94%24544155.56%584396603186328163
Total251280021290882157400211615741054000012931-2300.6009015924900312830471124022024121744228168404792430.38%801778.75%141181350.55%42384749.94%24544155.56%584396603186328163
_Since Last GM Reset251280021290882157400211615741054000012931-2300.6009015924900312830471124022024121744228168404792430.38%801778.75%141181350.55%42384749.94%24544155.56%584396603186328163
_Vs Conference1886002026263-11144002013942-37420000123212200.5566211017200312830451024022024121531159106287592033.90%491079.59%141181350.55%42384749.94%24544155.56%584396603186328163
_Vs Division821000012832-4510000001722-5311000011110150.313284977003128304221240220241212497044138301136.67%21576.19%041181350.55%42384749.94%24544155.56%584396603186328163

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2530L29015924971174422816840400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2512802129088
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
157402116157
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
105400012931
Derniers 10 matchs
WLOTWOTL SOWSOL
350011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
792430.38%801778.75%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
240220241213128304
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
41181350.55%42384749.94%24544155.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
584396603186328163


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
2 - 2025-08-2912Silver Knights2Monsters3WSommaire du match
3 - 2025-08-3024StarsF5Monsters2LSommaire du match
5 - 2025-09-0142Barracuda2Monsters5WSommaire du match
9 - 2025-09-0579Thunderbirds2Monsters5WSommaire du match
10 - 2025-09-0685Monsters2Condors1WSommaire du match
13 - 2025-09-09110Monsters5Gulls2WSommaire du match
15 - 2025-09-11119Canucks4Monsters5WSommaire du match
18 - 2025-09-14143Monsters3StarsF2WSommaire du match
19 - 2025-09-15153Gulls5Monsters4LXSommaire du match
23 - 2025-09-19179Roadrunners4Monsters3LXSommaire du match
25 - 2025-09-21190Monsters1Phantoms3LSommaire du match
27 - 2025-09-23208Monsters3Thunderbirds2WSommaire du match
28 - 2025-09-24217Wranglers3Monsters2LSommaire du match
31 - 2025-09-27240BruinsF3Monsters4WSommaire du match
33 - 2025-09-29254Monsters5Icehogs6LXXSommaire du match
36 - 2025-10-02275Eagles6Monsters4LSommaire du match
38 - 2025-10-04289Monsters3Bears1WSommaire du match
40 - 2025-10-06301Monsters1Griffins3LSommaire du match
42 - 2025-10-08310Canucks4Monsters3LXXSommaire du match
46 - 2025-10-12339Comets3Monsters7WSommaire du match
49 - 2025-10-15367Monsters2Wolf Pack6LSommaire du match
50 - 2025-10-16374Wolves4Monsters5WXXSommaire du match
54 - 2025-10-20402Marlies5Monsters6WSommaire du match
57 - 2025-10-23426Monsters4Canucks5LSommaire du match
58 - 2025-10-24432Eagles5Monsters3LSommaire du match
61 - 2025-10-27452Monsters-Thunderbirds-
62 - 2025-10-28464Wranglers-Monsters-
66 - 2025-11-01493Monsters-StarsF-
67 - 2025-11-02499Roadrunners-Monsters-
70 - 2025-11-05518Monsters-Rocket-
71 - 2025-11-06531Thunderbirds-Monsters-
74 - 2025-11-09554Monsters-Admirals-
75 - 2025-11-10562SenatorsF-Monsters-
78 - 2025-11-13583Monsters-Canucks-
79 - 2025-11-14593Iowa Wild-Monsters-
83 - 2025-11-18619Monsters-Condors-
84 - 2025-11-19626StarsF-Monsters-
87 - 2025-11-22649Monsters-Americans-
88 - 2025-11-23658Gulls-Monsters-
92 - 2025-11-27686Monsters-Moose-
93 - 2025-11-28691Iowa Wild-Monsters-
97 - 2025-12-02721Condors-Monsters-
100 - 2025-12-05742Monsters-Iowa Wild-
102 - 2025-12-07753Monsters-Silver Knights-
103 - 2025-12-08759Rocket-Monsters-
106 - 2025-12-11784BruinsF-Monsters-
110 - 2025-12-15816PenguinsF-Monsters-
112 - 2025-12-17824Monsters-Reign-
114 - 2025-12-19847Reign-Monsters-
116 - 2025-12-21854Monsters-Firebirds-
118 - 2025-12-23868Monsters-Iowa Wild-
119 - 2025-12-24881Icehogs-Monsters-
122 - 2025-12-27903Monsters-Gulls-
123 - 2025-12-28912Monsters-Silver Knights-
125 - 2025-12-30923StarsF-Monsters-
128 - 2026-01-02945PenguinsF-Monsters-
130 - 2026-01-04958Monsters-Phantoms-
132 - 2026-01-06977Islanders-Monsters-
135 - 2026-01-091002Monsters-Griffins-
136 - 2026-01-101010Reign-Monsters-
140 - 2026-01-141035Monsters-Barracuda-
141 - 2026-01-151043Icehogs-Monsters-
144 - 2026-01-181061Monsters-Wranglers-
146 - 2026-01-201076Admirals-Monsters-
147 - 2026-01-211083Monsters-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2026-01-241107Wolf Pack-Monsters-
151 - 2026-01-251118Monsters-Barracuda-
153 - 2026-01-271131Monsters-Icehogs-
155 - 2026-01-291139Admirals-Monsters-
157 - 2026-01-311156Monsters-Admirals-
159 - 2026-02-021171Barracuda-Monsters-
162 - 2026-02-051193Monsters-Bears-
163 - 2026-02-061203Griffins-Monsters-
165 - 2026-02-081209Monsters-Roadrunners-
168 - 2026-02-111234Condors-Monsters-
169 - 2026-02-121236Monsters-Eagles-
170 - 2026-02-131240Monsters-Roadrunners-
172 - 2026-02-151261Monsters-Crunch-
173 - 2026-02-161268Griffins-Monsters-
174 - 2026-02-171271Monsters-Reign-
178 - 2026-02-211302Monsters-Crunch-
179 - 2026-02-221306Silver Knights-Monsters-
180 - 2026-02-231314Monsters-Eagles-
183 - 2026-02-261344Monsters-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance30,00015,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
27 3000 - 100.00% 178,800$2,682,000$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
976,084$ 2,985,000$ 2,985,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 943,489$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,827,600$ 124 16,766$ 2,078,984$




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