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Monsters
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 10 | GA: 2 | PP%: 50.00% | PK%: 80.00%
DG: Jean Francois Langelier | Morale : 52 | Moyenne d’équipe : 63
Prochains matchs #37 vs Moose

Centre de jeu
Monsters
2-0-0, 4pts
4
FINAL
0 Barracuda
0-2-0, 0pts
Team Stats
W2SéquenceL2
1-0-0Fiche domicile0-1-0
1-0-0Fiche domicile0-1-0
2-0-0Derniers 10 matchs0-2-0
5.00Buts par match 1.00
1.00Buts contre par match 3.50
50.00%Pourcentage en avantage numérique16.67%
80.00%Pourcentage en désavantage numérique50.00%
Wranglers
1-1-0, 2pts
2
FINAL
6 Monsters
2-0-0, 4pts
Team Stats
L1SéquenceW2
1-0-0Fiche domicile1-0-0
0-1-0Fiche domicile1-0-0
1-1-0Derniers 10 matchs2-0-0
4.00Buts par match 5.00
5.00Buts contre par match 1.00
50.00%Pourcentage en avantage numérique50.00%
62.50%Pourcentage en désavantage numérique80.00%
Monsters
2-0-0, 4pts
2025-08-17
Moose
1-0-0, 2pts
Statistiques d’équipe
W2SéquenceW1
1-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur0-0-0
2-0-010 derniers matchs1-0-0
5.00Buts par match 3.00
1.00Buts contre par match 3.00
50.00%Pourcentage en avantage numérique0%
80.00%Pourcentage en désavantage numérique66.67%
Roadrunners
0-1-0, 0pts
2025-08-19
Monsters
2-0-0, 4pts
Statistiques d’équipe
L1SéquenceW2
0-1-0Fiche domicile1-0-0
0-0-0Fiche visiteur1-0-0
0-1-010 derniers matchs2-0-0
3.00Buts par match 5.00
5.00Buts contre par match 5.00
0.00%Pourcentage en avantage numérique50.00%
0%Pourcentage en désavantage numérique80.00%
Monsters
2-0-0, 4pts
2025-08-21
Condors
1-0-0, 2pts
Statistiques d’équipe
W2SéquenceW1
1-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur0-0-0
2-0-010 derniers matchs1-0-0
5.00Buts par match 6.00
1.00Buts contre par match 6.00
50.00%Pourcentage en avantage numérique0.00%
80.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Joona Luoto
2
Passes
Drake Caggiula
3
Points
Drake Caggiula
4
Plus/Moins
Anttoni Honka
5
Victoires
Spencer Martin
2
Pourcentage d’arrêts
Spencer Martin
0.962

Statistiques d’équipe
Buts pour
10
5.00 GFG
Tirs pour
60
30.00 Avg
Pourcentage en avantage numérique
50.0%
2 GF
Début de zone offensive
37.9%
Buts contre
2
1.00 GAA
Tirs contre
53
26.50 Avg
Pourcentage en désavantage numérique
80.0%%
1 GA
Début de la zone défensive
38.6%
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
Assistance2,931
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs8


Historique d'équipe

Saison actuelle2-0-0 (4PTS)
Historique97-59-18 (0.557%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)3 - 8 (0.273%)
Coupe Stanley0


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
1Joona LuotoXX99.0062469573757579726667677565685354536602721,700,000$
2Brendan GaunceXXX100.0071458971767375717269667264634738536503121,300,000$
3Hudson FaschingXX100.0070479374747677715967677165635346536503021,300,000$
4Drake CaggiulaXXX100.0068458471697585707572677165685442536503121,300,000$
5Alexander BurmistrovXX100.0062459471717176696967657163715730536403331,200,000$
6Egor Afanasyev (R)XX100.006945907273757571606969716145457053640243750,000$
7Markus GranlundXX100.0058449971707377705967677165705834536403231,200,000$
8Seth GriffithXX100.0060449270696975686266686865584846536203211,100,000$
9Daniel Muzito-BagendaX100.006145877273757462726061626061495753610291900,000$
10Michal RepikXX100.0060439269696474666665666564574830536103611,100,000$
11Bryce Brodzinski (R)XX100.006750757269707065606664655845457053610253750,000$
12Yegor Spiridonov (R)X100.006845907270707069705858735445457053610243750,000$
13Kaedan KorczakX100.007145897773787577457568726049476653670242900,000$
14Alexis BinnerX100.0063498576766975714568656957645360536502611,000,000$
15Ryan Merkley (R)X100.006645807268757571457262725645457053640253750,000$
16Nico GrossX100.007145827370726870456560735647466653630252750,000$
17Antti Tuomisto (R)X100.006855757271707067456961705545457053620243750,000$
18Anttoni Honka (R)X100.006445857268707070456665676045457053620243750,000$
Rayé
1Conner BleackleyXX100.006545827269677463656169655858485048610291800,000$
2Dan SextonXX100.0060439669657068656365656764555021486103811,100,000$
3Zach GallantX100.008056567475666766736062696051476248610262800,000$
4Marc-Olivier RoyX100.006043877271666361756058625861524848600301800,000$
5Danick PaquetteXX100.0061478768736864636260606160464638485803511,000,000$
6Keenan SuthersXX100.007247797278666556485959625748475648580271500,000$
7Mikko Kokkonen (R)X100.006145907270707068456562716045457048620243750,000$
8John RamageX100.006550937071686869456664706246452648620343900,000$
9Mark KaticX100.0059439569687076674567646761494730486203611,000,000$
10Philip SamuelssonX100.006246937073676868456464696247453048620343900,000$
MOYENNE D’ÉQUIPE99.96654687727171726858666469615448515162
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
1Spencer Martin99.008486798078788077777787657451536603021,500,000$
2Jaroslav Janus100.007577757676798381828279485334536403511,050,000$
Rayé
1Brent Moran100.00798266817665836868757347495449590291500,000$
MOYENNE D’ÉQUIPE99.6779827379777482757678805359465263
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock6780836499997CAN753100,000$


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
1Drake CaggiulaMonsters (Clb)C/LW/RW21344201333333.33%13517.6501102000000058.62%2900002.2700000010
2Anttoni HonkaMonsters (Clb)D21235001031233.33%13718.740000000000000%000001.6000000100
3Ryan MerkleyMonsters (Clb)D21232401152720.00%23819.431012300003100%000001.5400000010
4Nico GrossMonsters (Clb)D21122001232233.33%44120.620110300004000%000000.9700000000
5Joona LuotoMonsters (Clb)LW/RW22024000181525.00%13919.7300012000040050.00%200001.0100000001
6Brendan GaunceMonsters (Clb)C/LW/RW21122001650720.00%13718.8110122000041057.78%4500001.0600000001
7Egor AfanasyevMonsters (Clb)LW/RW2022400234150%03417.46000030000000100.00%200001.1500000000
8Yegor SpiridonovMonsters (Clb)C2022000224230%03216.3201113000040064.10%3900001.2300000000
9Hudson FaschingMonsters (Clb)LW/RW21122001331533.33%03417.47011130000000100.00%200001.1500000000
10Alexander BurmistrovMonsters (Clb)LW/RW21010000251320.00%02512.7700000000000033.33%300000.7800000000
11Michal RepikMonsters (Clb)LW/RW2011100211220%0178.620000000000000%200001.1600000000
12Alexis BinnerMonsters (Clb)D2011000231000%14020.350000300003000%000000.4900000000
13Antti TuomistoMonsters (Clb)D2011500331010%13919.940000000003000%000000.5000000000
14Bryce BrodzinskiMonsters (Clb)LW/RW2011200026110%03316.7900000000040066.67%300000.6000000000
15Seth GriffithMonsters (Clb)LW/RW210110011141100.00%0178.71000000000000100.00%100001.1500000000
16Daniel Muzito-BagendaMonsters (Clb)C2000100111010%0189.1200000000000047.83%230000000000000
17Kaedan KorczakMonsters (Clb)D2000060443110%03819.320000300000000%00000000000000
18Markus GranlundMonsters (Clb)LW/RW2000000113040%02512.9700000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne3610182835120243960225316.67%1258916.382467310000332058.17%15300000.9500000122
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
1Spencer MartinMonsters (Clb)22000.9621.00120012530000020100
Statistiques d’équipe totales ou en moyenne22000.9621.0012001253000020100


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
Alexander BurmistrovMonsters (Clb)LW/RW331991-10-21RUSNo187 Lbs6 ft0NoNoFree AgentNoNo32025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Alexis BinnerMonsters (Clb)D261998-12-03SWENo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Antti TuomistoMonsters (Clb)D242001-01-20FINYes194 Lbs6 ft4NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Anttoni HonkaMonsters (Clb)D242000-10-05FINYes184 Lbs5 ft11NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Brendan GaunceMonsters (Clb)C/LW/RW311994-03-25CANNo219 Lbs6 ft3NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Brent MoranMonsters (Clb)G291996-07-05CANNo195 Lbs6 ft4NoNoN/ANoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Bryce BrodzinskiMonsters (Clb)LW/RW252000-08-09USAYes197 Lbs6 ft0NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Conner BleackleyMonsters (Clb)LW/RW291996-02-07CANNo192 Lbs6 ft0NoNoTrade2025-05-13NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Dan SextonMonsters (Clb)LW/RW381987-04-29USANo156 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Danick PaquetteMonsters (Clb)LW/RW351990-07-17CANNo217 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Daniel Muzito-BagendaMonsters (Clb)C291996-06-16SWENo198 Lbs6 ft1NoNoTrade2025-05-13NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Drake CaggiulaMonsters (Clb)C/LW/RW311994-06-20CANNo179 Lbs5 ft10NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Egor AfanasyevMonsters (Clb)LW/RW242001-01-23RUSYes211 Lbs6 ft4NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Hudson FaschingMonsters (Clb)LW/RW301995-07-28USANo209 Lbs6 ft3NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Jaroslav JanusMonsters (Clb)G351989-09-21SLONo191 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,050,000$0$0$No---------------------------Lien
John RamageMonsters (Clb)D341991-02-07CANNo189 Lbs6 ft0NoNoFree Agent2025-01-03NoNo32025-07-21FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Joona LuotoMonsters (Clb)LW/RW271997-09-26FINNo210 Lbs6 ft3NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Kaedan KorczakMonsters (Clb)D242001-01-29CANNo201 Lbs6 ft3NoNoProspectNoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Keenan SuthersMonsters (Clb)LW/RW271998-04-27USANo245 Lbs6 ft8NoNoTrade2025-02-01NoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Marc-Olivier RoyMonsters (Clb)C301994-11-05CANNo182 Lbs6 ft1NoNoTrade2025-05-13NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Mark KaticMonsters (Clb)D361989-05-09CANNo180 Lbs5 ft10NoNoTrade2024-01-27NoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Markus GranlundMonsters (Clb)LW/RW321993-04-16FINNo187 Lbs5 ft10NoNoFree AgentNoNo32025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Michal RepikMonsters (Clb)LW/RW361988-12-31CZENo191 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Mikko KokkonenMonsters (Clb)D242001-01-18FINYes200 Lbs6 ft0NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nico GrossMonsters (Clb)D252000-01-26SUINo183 Lbs6 ft1NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Philip SamuelssonMonsters (Clb)D341991-07-26SWENo194 Lbs6 ft2NoNoFree AgentNoNo32025-07-21FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Ryan MerkleyMonsters (Clb)D252000-08-14CANYes186 Lbs6 ft0NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Seth GriffithMonsters (Clb)LW/RW321993-01-04CANNo190 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Spencer MartinMonsters (Clb)G301995-06-08CANNo205 Lbs6 ft3NoNoTrade2025-08-05NoNo22024-04-29FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Yegor SpiridonovMonsters (Clb)C242001-01-22RUSYes192 Lbs6 ft2NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Zach GallantMonsters (Clb)C261999-03-06CANNo192 Lbs6 ft2NoNoTrade2025-05-13NoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3129.32196 Lbs6 ft11.97962,903$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joona LuotoDrake CaggiulaEgor Afanasyev30023
2Hudson FaschingBrendan GaunceBryce Brodzinski30023
3Markus GranlundYegor SpiridonovAlexander Burmistrov25023
4Seth GriffithDaniel Muzito-BagendaMichal Repik15023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakAlexis Binner31032
2Ryan MerkleyNico Gross31032
3Anttoni HonkaAntti Tuomisto31032
4Anttoni HonkaAntti Tuomisto7032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joona LuotoDrake CaggiulaBrendan Gaunce50005
2Hudson FaschingYegor SpiridonovEgor Afanasyev50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakAlexis Binner50005
2Ryan MerkleyNico Gross50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Yegor SpiridonovJoona Luoto50050
2Brendan GaunceBryce Brodzinski50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakAlexis Binner50050
2Ryan MerkleyNico Gross50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Yegor Spiridonov50050Kaedan KorczakAlexis Binner50050
2Bryce Brodzinski50050Ryan MerkleyNico Gross50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joona LuotoDrake Caggiula50023
2Brendan GaunceHudson Fasching50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakAlexis Binner50032
2Ryan MerkleyNico Gross50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joona LuotoDrake CaggiulaBrendan GaunceKaedan KorczakAlexis Binner
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joona LuotoDrake CaggiulaBrendan GaunceKaedan KorczakAlexis Binner
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michal Repik, Markus Granlund, Alexander BurmistrovMichal Repik, Markus GranlundAlexander Burmistrov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Anttoni Honka, Antti Tuomisto, Ryan MerkleyAnttoni HonkaAntti Tuomisto, Ryan Merkley
Tirs de pénalité
Joona Luoto, Drake Caggiula, Brendan Gaunce, Hudson Fasching, Egor Afanasyev
Gardien
#1 : Spencer Martin, #2 : Jaroslav Janus


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
1Barracuda11000000404000000000001100000040421.00048120172102627151802954811100.00%20100.00%0405868.97%315952.54%183650.00%473447142512
2Wranglers11000000624110000006240000000000021.000610160072103427151802478163133.33%3166.67%0405868.97%315952.54%183650.00%473447142512
Total220000001028110000006241100000040441.000101828017210602715180531212244250.00%5180.00%0405868.97%315952.54%183650.00%473447142512
_Since Last GM Reset220000001028110000006241100000040441.000101828017210602715180531212244250.00%5180.00%0405868.97%315952.54%183650.00%473447142512
_Vs Conference220000001028110000006241100000040441.000101828017210602715180531212244250.00%5180.00%0405868.97%315952.54%183650.00%473447142512

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
24W2101828605312122401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2200000102
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000062
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000040
Derniers 10 matchs
WLOTWOTL SOWSOL
200000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4250.00%5180.00%0
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
27151807210
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
405868.97%315952.54%183650.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
473447142512


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 - 2025-08-1311Monsters4Barracuda0WSommaire du match
4 - 2025-08-1526Wranglers2Monsters6WSommaire du match
6 - 2025-08-1737Monsters-Moose-
8 - 2025-08-1952Roadrunners-Monsters-
10 - 2025-08-2167Monsters-Condors-
12 - 2025-08-2379Monsters-Canucks-
14 - 2025-08-2596Iowa Wild-Monsters-
16 - 2025-08-27116Monsters-Iowa Wild-
17 - 2025-08-28124Silver Knights-Monsters-
19 - 2025-08-30136Monsters-Barracuda-
22 - 2025-09-02154Condors-Monsters-
25 - 2025-09-05177Canucks-Monsters-
28 - 2025-09-08199Monsters-Roadrunners-
30 - 2025-09-10214Eagles-Monsters-
32 - 2025-09-12231Monsters-Griffins-
34 - 2025-09-14247SenatorsF-Monsters-
37 - 2025-09-17268Iowa Wild-Monsters-
39 - 2025-09-19287Monsters-Icehogs-
41 - 2025-09-21299PenguinsF-Monsters-
43 - 2025-09-23316Monsters-Marlies-
45 - 2025-09-25329Americans-Monsters-
47 - 2025-09-27352Monsters-Icehogs-
48 - 2025-09-28359Monsters-StarsF-
50 - 2025-09-30373Eagles-Monsters-
53 - 2025-10-03396BruinsF-Monsters-
55 - 2025-10-05410Monsters-Admirals-
57 - 2025-10-07424Monsters-Griffins-
59 - 2025-10-09434Thunderbirds-Monsters-
61 - 2025-10-11452Monsters-Condors-
63 - 2025-10-13466Canucks-Monsters-
64 - 2025-10-14477Monsters-Barracuda-
67 - 2025-10-17494Monsters-Crunch-
68 - 2025-10-18509Admirals-Monsters-
71 - 2025-10-21530Icehogs-Monsters-
73 - 2025-10-23547Monsters-Phantoms-
75 - 2025-10-25562Barracuda-Monsters-
78 - 2025-10-28578Monsters-Admirals-
80 - 2025-10-30593Gulls-Monsters-
82 - 2025-11-01609Monsters-Canucks-
84 - 2025-11-03623Gulls-Monsters-
88 - 2025-11-07652Monsters-Rocket-
89 - 2025-11-08662Comets-Monsters-
91 - 2025-11-10681Monsters-Roadrunners-
93 - 2025-11-12695Islanders-Monsters-
96 - 2025-11-15716Wranglers-Monsters-
100 - 2025-11-19744Icehogs-Monsters-
102 - 2025-11-21759Monsters-Reign-
104 - 2025-11-23774Admirals-Monsters-
106 - 2025-11-25792Monsters-Reign-
108 - 2025-11-27807SenatorsF-Monsters-
110 - 2025-11-29818Monsters-Eagles-
112 - 2025-12-01833Monsters-Silver Knights-
114 - 2025-12-03846StarsF-Monsters-
116 - 2025-12-05859Monsters-Moose-
118 - 2025-12-07878Checkers-Monsters-
119 - 2025-12-08890Monsters-Wranglers-
121 - 2025-12-10906Monsters-Gulls-
123 - 2025-12-12918Firebirds-Monsters-
126 - 2025-12-15937Monsters-StarsF-
128 - 2025-12-17945Reign-Monsters-
131 - 2025-12-20970Monsters-Wolf Pack-
132 - 2025-12-21980Silver Knights-Monsters-
135 - 2025-12-241002Condors-Monsters-
137 - 2025-12-261011Monsters-Thunderbirds-
139 - 2025-12-281028Monsters-Silver Knights-
141 - 2025-12-301043Reign-Monsters-
144 - 2026-01-021059Monsters-Eagles-
147 - 2026-01-051078StarsF-Monsters-
150 - 2026-01-081096Monsters-Iowa Wild-
151 - 2026-01-091107Roadrunners-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-01-131131Monsters-Wranglers-
156 - 2026-01-141140Wolf Pack-Monsters-
159 - 2026-01-171161Monsters-Gulls-
160 - 2026-01-181167Monsters-Wolves-
162 - 2026-01-201180Barracuda-Monsters-
165 - 2026-01-231205Griffins-Monsters-
169 - 2026-01-271228Monsters-Bears-
170 - 2026-01-281237Wranglers-Monsters-
172 - 2026-01-301249Monsters-PenguinsF-
174 - 2026-02-011261Monsters-Thunderbirds-
176 - 2026-02-031271Thunderbirds-Monsters-
183 - 2026-02-101307Griffins-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance2,000931
Assistance PCT100.00%93.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 2931 - 97.70% 110,208$110,208$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
66,704$ 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$ 64,540$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 181 16,676$ 3,018,356$




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
1Joseph Veleno1647388161396624130352813.83%54326619.9219244397112814352.44%10.9913
2Jacob Peterson163558213725206017651410.70%29300418.431326399900016353.63%00.91211
3Victor Mete15919951143601121532268.41%187359122.591125361290220220%00.6300
4Jack Mcbain134365490-1732192984048.91%38268820.0678157510143150.60%00.6727
5Steven Lorentz164434285171410314234212.57%19254015.49612186100059051.06%10.6737

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
1Malcolm Subban106573480.8943.0859132330328690210.76743
2Jaroslav Janus59291450.8982.7830492414113860210.66712
3Brent Moran33000.8863.3318000108800000
4Spencer Martin22000.9621.001200125300000

Monsters Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
158236320704328525530411716020331451341141191605010140121199728551980415931027912257582784787248234569952813072584316.67%2245276.79%31509290551.94%1370263352.03%701136251.47%2017140218735941074544
1682392705443287250374120904422154127274119180102113312310103287512799231071007112259890485681152227865852512272917124.40%2124280.19%01546290353.26%1439264054.51%748138454.05%2034141318566061082548
1722000000102811000000624110000004044101828017210602715180531212244250.00%5180.00%0405868.97%315952.54%183650.00%473447142512
Total Saison régulière166775901248658250775833825064553052634283393406031277244332045821049163139207204151245233175817181701100467613691065255855311620.98%4419578.46%33095586652.76%2840533253.26%1467278252.73%409828503778121521811105
Séries éliminatoires
15514000001418-42020000046-2312000001012-22142438004640134553544015043439015320.00%18666.67%06515541.94%8516850.60%437954.43%11073124396633
16624000001415-13210000074330300000711-4414264001653018352605516175522510420210.00%9188.89%011222250.45%10120948.33%377847.44%151105144477940
Total Séries éliminatoires1138000002833-55230000011101615000001723-6628507801101170317107959916325956819435514.29%27774.07%017737746.95%18637749.34%8015750.96%2621782698714573

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
1Sebastian Aho (DEF)11066-3101017140%1623020.9903380000000%00.5200
2Victor Mete11066-40711200%2225323.0102260000000%00.4700
3Vyacheslav Leshchenko5235141041315.38%08016.06011200000025.00%01.2500
4Victor Antipin62354421633.33%610918.3000010000000%00.9100
5Teemu Pulkkinen11505-12142917.24%218116.52000200001050.00%00.5500

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
1Malcolm Subban102440.8982.96568012827400000
2Jaroslav Janus31000.9022.801070055100000