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Cleveland Monsters
GP: 6 | W: 3 | L: 2 | OTL: 1 | P: 7
GF: 14 | GA: 18 | PP%: 8.33% | PK%: 71.43%
DG: Robert Söder | Morale : 49 | Moyenne d’équipe : 57
Prochains matchs #109 vs Grand Rapids Griffins

Centre de jeu
Wilkes-Barre/Scranton Penguins
3-3-0, 6pts
1
4 Cleveland Monsters
3-2-1, 7pts
Team Stats
L2SéquenceW2
1-1-0Fiche domicile3-1-0
2-2-0Fiche domicile0-1-1
3-3-0Derniers 10 matchs3-2-1
2.50Buts par match 2.33
2.67Buts contre par match 3.00
36.36%Pourcentage en avantage numérique8.33%
77.78%Pourcentage en désavantage numérique71.43%
Wilkes-Barre/Scranton Penguins
3-3-0, 6pts
1
2 Cleveland Monsters
3-2-1, 7pts
Team Stats
L2SéquenceW2
1-1-0Fiche domicile3-1-0
2-2-0Fiche domicile0-1-1
3-3-0Derniers 10 matchs3-2-1
2.50Buts par match 2.33
2.67Buts contre par match 3.00
36.36%Pourcentage en avantage numérique8.33%
77.78%Pourcentage en désavantage numérique71.43%
Cleveland Monsters
3-2-1, 7pts
2026-10-23
Grand Rapids Griffins
4-3-0, 8pts
Statistiques d’équipe
W2SéquenceL1
3-1-0Fiche domicile2-1-0
0-1-1Fiche visiteur2-2-0
3-2-110 derniers matchs4-3-0
2.33Buts par match 3.00
3.00Buts contre par match 3.00
8.33%Pourcentage en avantage numérique28.57%
71.43%Pourcentage en désavantage numérique70.00%
Cleveland Monsters
3-2-1, 7pts
2026-10-24
Grand Rapids Griffins
4-3-0, 8pts
Statistiques d’équipe
W2SéquenceL1
3-1-0Fiche domicile2-1-0
0-1-1Fiche visiteur2-2-0
3-2-110 derniers matchs4-3-0
2.33Buts par match 3.00
3.00Buts contre par match 3.00
8.33%Pourcentage en avantage numérique28.57%
71.43%Pourcentage en désavantage numérique70.00%
Milwaukee Admirals
2-2-0, 4pts
2026-10-30
Cleveland Monsters
3-2-1, 7pts
Statistiques d’équipe
L1SéquenceW2
2-1-0Fiche domicile3-1-0
0-1-0Fiche visiteur0-1-1
2-2-010 derniers matchs3-2-1
3.25Buts par match 2.33
2.75Buts contre par match 2.33
33.33%Pourcentage en avantage numérique8.33%
77.78%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
Buts
Gracyn Sawchyn
3
Mathew DumbaPasses
Mathew Dumba
4
Mathew DumbaPoints
Mathew Dumba
5
Plus/Moins
Gracyn Sawchyn
4
Victoires
Nolan LaLonde
3
Pourcentage d’arrêts
Nolan LaLonde
0.924

Statistiques d’équipe
Buts pour
14
2.33 GFG
Tirs pour
168
28.00 Avg
Pourcentage en avantage numérique
8.3%
1 GF
Début de zone offensive
39.5%
Buts contre
18
3.00 GAA
Tirs contre
202
33.67 Avg
Pourcentage en désavantage numérique
71.4%%
4 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralRobert Söder
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite Contrat44 / 60
Espoirs32


Historique d'équipe

Saison actuelle3-2-1 (7PTS)
Historique87-63-23 (0.503%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1 - 4 (0.200%)
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
1Mathieu Joseph0XX100.00906698667665786230746470416851051640281975,000$
2Sonny Milano0X100.0065389972795968775372685669625105163N0291975,000$
3Reid Schaefer0X100.00907093648161766545646763594444051610221886,667$
4Mikael Pyyhtia0X100.00603391645750846545636456584646051580232875,000$
5Ben Berard0XX100.00653693616050866355586254565249051570261875,000$
6Cedric Pare0X100.0072578557635085587558565751524904856N0261875,000$
7Luca Pinelli (R)0X100.00645283625350886275636055544343051560201775,000$
8Ryan Schmelzer0XX100.0066558757615087575560555750625404856N0321875,000$
9Gabriel Seger0XX100.0069389356665089565556556649504804856N0251875,000$
10Joseph LaBate0X100.0082796959655066607556625555645505156N0321875,000$
11Gracyn Sawchyn (R)0XX100.00573191615350726355635858544343051550201775,000$
12Hunter McKown0XX100.00645487585850865855585753514545049540231850,000$
13Alex Petrovic0X100.0084698263796680562562587737615305164N0331975,000$
14Mathew Dumba0X100.0075648064766568622560567352815505163N0311975,000$
15Jake Christiansen0X100.00753994637056736025585376365246051610261975,000$
16Corson Ceulemans0X100.00695687586250865625545465494545051570221850,000$
17Dmitri Osipov0X100.0072598154625079512550517045565104857N0281875,000$
18Guillaume Richard (R)0X100.00583393565850895525515274484545051570221775,000$
Rayé
1James Malatesta0X100.00706077575550835775555956524444046540221850,000$
2Jordan Dumais0X100.00593495575550775845575753514444044530211859,999$
3Max McCue0X100.00726179566050675875575255494545044530221933,333$
4Luca Marrelli (R)0X100.00623491615950705925575364504242044550191775,000$
MOYENNE D’ÉQUIPE100.0070518860645379604759586251524804958
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
1Kenneth Appleby0100.0053464181534850515255506653051540301875,000$
2Nolan LaLonde (R)0100.0054454078584855605457504844047540211775,000$
Rayé
1Alexandar Georgiev0100.0055464175484645455054506452048510291875,000$
MOYENNE D’ÉQUIPE100.005446417853475052525550595004953
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Mathew DumbaCleveland Monsters (CBJ)D61450209773614.29%713222.12011612000012000%000000.7500000010
2Gracyn SawchynCleveland Monsters (CBJ)LW/RW632540026121325.00%17111.840000000008000%300001.4101000011
3Alex PetrovicCleveland Monsters (CBJ)D6044110019886120%1313923.2700011200008000%000000.5700000001
4Mathieu JosephCleveland Monsters (CBJ)LW/RW6033-120175228130%211419.02011312000050021.43%2800000.5311000100
5Sonny MilanoCleveland Monsters (CBJ)RW6123-20021121574.76%311619.39101312000090033.33%1500000.5201000001
6Ryan SchmelzerCleveland Monsters (CBJ)LW/RW6033400226360%06210.4700000000010050.00%200000.9600000001
7Joseph LaBateCleveland Monsters (CBJ)C6213320161392322.22%07312.1700000000000155.56%7200000.8200000100
8James MalatestaCleveland Monsters (CBJ)C4022100335130%04611.6500000000050063.16%5700000.8600000000
9Mikael PyyhtiaCleveland Monsters (CBJ)LW6112-30015135107.69%09716.2500037000041060.00%1000000.4100000000
10Ben BerardCleveland Monsters (CBJ)LW/RW620230044134215.38%07712.8700004000000133.33%300000.5200000000
11Luca PinelliCleveland Monsters (CBJ)C6022-1203164190%010918.25000110000000053.68%13600000.3700000000
12Reid SchaeferCleveland Monsters (CBJ)LW6202-100188149914.29%112020.12000210000081033.33%900000.3301000100
13Jake ChristiansenCleveland Monsters (CBJ)D6101-10010762316.67%912520.83000210000012100%000000.1600000010
14Cedric PareCleveland Monsters (CBJ)C6101-2009761316.67%110717.93000012000090050.34%14700000.1900000000
15Dmitri OsipovCleveland Monsters (CBJ)D6011-2401151220%89616.110000100005000%000000.2100000000
16Guillaume RichardCleveland Monsters (CBJ)D6011-120133050%510918.210000000007000%000000.1800000000
17Corson CeulemansCleveland Monsters (CBJ)D6000-140547230%311619.470002900005000%00000000000000
18Hunter McKownCleveland Monsters (CBJ)LW/RW2000000010000%052.7900000000000066.67%30000000000000
19Gabriel SegerCleveland Monsters (CBJ)LW/RW6000-1003411150%06611.0900000000000033.33%30000000000000
Statistiques d’équipe totales ou en moyenne1081426400280135119168561048.33%53178816.561232311700001043250.82%48800000.4514000334
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
1Nolan LaLondeCleveland Monsters (CBJ)63210.9242.5233300141840000.500460110
2Alexandar GeorgievCleveland Monsters (CBJ)10000.8335.8131003180000004000
Statistiques d’équipe totales ou en moyenne73210.9162.803650017202000464110


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 Salaire restantPlafond 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
Alex PetrovicCleveland Monsters (CBJ)D331992-03-03CANNo220 Lbs6 ft4YesNoFree AgentNoNo12026-09-18FalseFalsePro & Farm975,000$865,561$0$0$No---------------------------Lien / Lien NHL
Alexandar GeorgievCleveland Monsters (CBJ)G291996-02-10CANNo180 Lbs6 ft1NoNoFree Agent2024-07-28NoNo12026-10-02FalseFalsePro & Farm875,000$776,786$0$0$No---------------------------Lien / Lien NHL
Ben BerardCleveland Monsters (CBJ)LW/RW261999-02-13CANNo200 Lbs6 ft0NoNoFree AgentNoNo12026-10-02FalseFalsePro & Farm875,000$776,786$0$0$No---------------------------Lien
Cedric PareCleveland Monsters (CBJ)C261999-01-24CANNo204 Lbs6 ft2YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$776,786$0$0$No---------------------------Lien / Lien NHL
Corson CeulemansCleveland Monsters (CBJ)D222003-05-05CANNo198 Lbs6 ft2NoNoAssign ManuallyNoNo12026-08-08FalseFalsePro & Farm850,000$754,592$0$0$No---------------------------Lien / Lien NHL
Dmitri OsipovCleveland Monsters (CBJ)D281996-10-04RUSNo190 Lbs6 ft3YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$776,786$0$0$No---------------------------Lien
Gabriel SegerCleveland Monsters (CBJ)LW/RW251999-11-15SWENo218 Lbs6 ft4YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$776,786$0$0$No---------------------------Lien
Gracyn SawchynCleveland Monsters (CBJ)LW/RW202005-01-19CANYes148 Lbs5 ft10NoNoProspectNoNo12026-06-12FalseFalsePro & Farm775,000$688,010$0$0$No---------------------------Lien
Guillaume RichardCleveland Monsters (CBJ)D222003-02-10CANYes161 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$688,010$0$0$No---------------------------Lien
Hunter McKownCleveland Monsters (CBJ)LW/RW232002-08-18USANo171 Lbs6 ft0NoNoAssign ManuallyNoNo12026-08-08FalseFalsePro & Farm850,000$754,592$0$0$No---------------------------Lien / Lien NHL
Jake ChristiansenCleveland Monsters (CBJ)D261999-09-12CANNo193 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-07FalseFalsePro & Farm975,000$865,561$0$0$No---------------------------Lien / Lien NHL
James MalatestaCleveland Monsters (CBJ)C222003-05-31CANNo172 Lbs5 ft9NoNoAssign ManuallyNoNo12026-08-08FalseFalsePro & Farm850,000$754,592$0$0$No---------------------------Lien / Lien NHL
Jordan DumaisCleveland Monsters (CBJ)RW212004-04-15CANNo174 Lbs5 ft9NoNoDraftNoNo12026-08-08FalseFalsePro & Farm859,999$763,468$0$0$No---------------------------Lien
Joseph LaBateCleveland Monsters (CBJ)C321993-04-16USANo205 Lbs6 ft4YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$776,786$0$0$No---------------------------Lien
Kenneth ApplebyCleveland Monsters (CBJ)G301995-04-10CANNo205 Lbs6 ft4NoNoFree AgentNoNo12026-10-02FalseFalsePro & Farm875,000$776,786$0$0$No---------------------------Lien / Lien NHL
Luca MarrelliCleveland Monsters (CBJ)D192005-10-04CANYes176 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$688,010$0$0$No---------------------------Lien
Luca PinelliCleveland Monsters (CBJ)C202005-04-05CANYes160 Lbs5 ft9NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$688,010$0$0$No---------------------------Lien
Mathew DumbaCleveland Monsters (CBJ)D311994-07-25CANNo181 Lbs6 ft0YesNoFree Agent2025-07-28NoNo12026-09-18FalseFalsePro & Farm975,000$865,561$0$0$No---------------------------Lien / Lien NHL
Mathieu JosephCleveland Monsters (CBJ)LW/RW281997-02-09CANNo187 Lbs6 ft1NoNoFree Agent2024-08-08NoNo12026-09-18FalseFalsePro & Farm975,000$865,561$0$0$No---------------------------Lien / Lien NHL
Max McCueCleveland Monsters (CBJ)C222003-03-10CANNo182 Lbs6 ft1NoNoDraftNoNo12026-08-08FalseFalsePro & Farm933,333$828,571$0$0$No---------------------------Lien
Mikael PyyhtiaCleveland Monsters (CBJ)LW232001-12-17FINNo166 Lbs6 ft0NoNoAssign ManuallyNoNo22026-08-08FalseFalsePro & Farm875,000$776,786$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Nolan LaLondeCleveland Monsters (CBJ)G212004-02-14CANYes195 Lbs6 ft2NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$688,010$0$0$No---------------------------Lien
Reid SchaeferCleveland Monsters (CBJ)LW222003-09-21CANNo226 Lbs6 ft5NoNoTrade2024-08-08NoNo12024-07-07FalseFalsePro & Farm886,667$787,143$0$0$No---------------------------Lien / Lien NHL
Ryan SchmelzerCleveland Monsters (CBJ)LW/RW321993-07-28USANo185 Lbs6 ft2YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$776,786$0$0$No---------------------------Lien / Lien NHL
Sonny MilanoCleveland Monsters (CBJ)RW291996-05-12USANo194 Lbs6 ft0YesNoFree Agent2025-02-21NoNo12026-09-18FalseFalsePro & Farm975,000$865,561$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.28188 Lbs6 ft11.04874,200$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathieu JosephCedric PareSonny Milano35122
2Reid SchaeferLuca PinelliBen Berard30122
3Mikael PyyhtiaJoseph LaBateGabriel Seger20122
4Ryan SchmelzerMathieu JosephGracyn Sawchyn15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex PetrovicMathew Dumba35122
2Jake ChristiansenCorson Ceulemans30122
3Dmitri OsipovGuillaume Richard20122
4Alex PetrovicMathew Dumba15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathieu JosephCedric PareSonny Milano60122
2Reid SchaeferLuca PinelliBen Berard40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex PetrovicMathew Dumba60122
2Jake ChristiansenCorson Ceulemans40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mathieu JosephSonny Milano60122
2Reid SchaeferMikael Pyyhtia40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex PetrovicMathew Dumba60122
2Jake ChristiansenCorson Ceulemans40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mathieu Joseph60122Alex PetrovicMathew Dumba60122
2Sonny Milano40122Jake ChristiansenCorson Ceulemans40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mathieu JosephSonny Milano60122
2Reid SchaeferMikael Pyyhtia40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex PetrovicMathew Dumba60122
2Jake ChristiansenCorson Ceulemans40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathieu JosephCedric PareSonny MilanoAlex PetrovicMathew Dumba
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathieu JosephCedric PareSonny MilanoAlex PetrovicMathew Dumba
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter McKown, Gabriel Seger, Ryan SchmelzerHunter McKown, Gabriel SegerRyan Schmelzer
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitri Osipov, Guillaume Richard, Jake ChristiansenDmitri OsipovGuillaume Richard, Jake Christiansen
Tirs de pénalité
Mathieu Joseph, Sonny Milano, Reid Schaefer, Mikael Pyyhtia, Ben Berard
Gardien
#1 : Nolan LaLonde, #2 : Kenneth Appleby
Lignes d’attaque personnalisées en prolongation
Mathieu Joseph, Sonny Milano, Reid Schaefer, Mikael Pyyhtia, Ben Berard, Gabriel Seger, Cedric Pare, Luca Pinelli, Ryan Schmelzer, Joseph LaBate
Lignes de défense personnalisées en prolongation
Alex Petrovic, Mathew Dumba, Jake Christiansen, Corson Ceulemans, Dmitri Osipov


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
1Grand Rapids Griffins2110000035-22110000035-20000000000020.5003470035615246507067518839200.00%4175.00%09519050.00%11019656.12%439545.26%13993144468140
2Lehigh Valley Phantoms20100001511-60000000000020100001511-610.2505101500356153465070676241043500.00%5260.00%09519050.00%11019656.12%439545.26%13993144468140
3Wilkes-Barre/Scranton Penguins22000000624220000006240000000000041.00061218003561634650706511110535120.00%5180.00%09519050.00%11019656.12%439545.26%13993144468140
Total632000011418-44310000097220100001511-670.583142640003561168465070620253281351218.33%14471.43%09519050.00%11019656.12%439545.26%13993144468140
_Since Last GM Reset632000011418-44310000097220100001511-670.583142640003561168465070620253281351218.33%14471.43%09519050.00%11019656.12%439545.26%13993144468140
_Vs Conference632000011418-44310000097220100001511-670.583142640003561168465070620253281351218.33%14471.43%09519050.00%11019656.12%439545.26%13993144468140
_Vs Division421000011113-22200000062420100001511-650.625112233003561116465070612735209610110.00%10370.00%09519050.00%11019656.12%439545.26%13993144468140

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
67W2142640168202532813500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
63200011418
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
431000097
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2010001511
Derniers 10 matchs
WLOTWOTL SOWSOL
320001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1218.33%14471.43%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
46507063561
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
9519050.00%11019656.12%439545.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13993144468140


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
4 - 2026-10-023Grand Rapids Griffins1Cleveland Monsters2WSommaire du match
6 - 2026-10-0426Grand Rapids Griffins4Cleveland Monsters1LSommaire du match
12 - 2026-10-1043Cleveland Monsters2Lehigh Valley Phantoms7LSommaire du match
13 - 2026-10-1156Cleveland Monsters3Lehigh Valley Phantoms4LXXSommaire du match
18 - 2026-10-1676Wilkes-Barre/Scranton Penguins1Cleveland Monsters4WSommaire du match
19 - 2026-10-1790Wilkes-Barre/Scranton Penguins1Cleveland Monsters2WSommaire du match
25 - 2026-10-23109Cleveland Monsters-Grand Rapids Griffins-
26 - 2026-10-24121Cleveland Monsters-Grand Rapids Griffins-
32 - 2026-10-30153Milwaukee Admirals-Cleveland Monsters-
33 - 2026-10-31159Milwaukee Admirals-Cleveland Monsters-
37 - 2026-11-04172Cleveland Monsters-Rochester Americans-
39 - 2026-11-06183Cleveland Monsters-Laval Rocket-
40 - 2026-11-07198Cleveland Monsters-Laval Rocket-
47 - 2026-11-14242Cleveland Monsters-Belleville Senators-
48 - 2026-11-15253Cleveland Monsters-Belleville Senators-
50 - 2026-11-17259Bridgeport Islanders-Cleveland Monsters-
54 - 2026-11-21294Utica Comet-Cleveland Monsters-
55 - 2026-11-22302Utica Comet-Cleveland Monsters-
60 - 2026-11-27318Bridgeport Islanders-Cleveland Monsters-
61 - 2026-11-28330Bridgeport Islanders-Cleveland Monsters-
65 - 2026-12-02357Rochester Americans-Cleveland Monsters-
68 - 2026-12-05372Cleveland Monsters-Chicago Wolfs-
69 - 2026-12-06385Cleveland Monsters-Chicago Wolfs-
72 - 2026-12-09396Cleveland Monsters-Toronto Marlies-
74 - 2026-12-11408Laval Rocket-Cleveland Monsters-
75 - 2026-12-12422Laval Rocket-Cleveland Monsters-
81 - 2026-12-18458Syracuse Crunch-Cleveland Monsters-
82 - 2026-12-19471Syracuse Crunch-Cleveland Monsters-
91 - 2026-12-28495Charlotte Checkers-Cleveland Monsters-
92 - 2026-12-29499Charlotte Checkers-Cleveland Monsters-
96 - 2027-01-02525Cleveland Monsters-Hershey Bears-
97 - 2027-01-03538Cleveland Monsters-Hershey Bears-
100 - 2027-01-06553Syracuse Crunch-Cleveland Monsters-
101 - 2027-01-07555Syracuse Crunch-Cleveland Monsters-
104 - 2027-01-10585Toronto Marlies-Cleveland Monsters-
107 - 2027-01-13593Cleveland Monsters-Bridgeport Islanders-
110 - 2027-01-16613Cleveland Monsters-Charlotte Checkers-
111 - 2027-01-17626Cleveland Monsters-Charlotte Checkers-
114 - 2027-01-20641Cleveland Monsters-Grand Rapids Griffins-
117 - 2027-01-23659Cleveland Monsters-Bridgeport Islanders-
118 - 2027-01-24672Grand Rapids Griffins-Cleveland Monsters-
123 - 2027-01-29691Hershey Bears-Cleveland Monsters-
125 - 2027-01-31713Hershey Bears-Cleveland Monsters-
128 - 2027-02-03721Cleveland Monsters-Utica Comet-
130 - 2027-02-05732Cleveland Monsters-Syracuse Crunch-
131 - 2027-02-06747Cleveland Monsters-Syracuse Crunch-
137 - 2027-02-12763Cleveland Monsters-Utica Comet-
138 - 2027-02-13775Cleveland Monsters-Syracuse Crunch-
140 - 2027-02-15786Grand Rapids Griffins-Cleveland Monsters-
142 - 2027-02-17795Cleveland Monsters-Rochester Americans-
144 - 2027-02-19806Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
145 - 2027-02-20814Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
149 - 2027-02-24848Rochester Americans-Cleveland Monsters-
151 - 2027-02-26853Belleville Senators-Cleveland Monsters-
152 - 2027-02-27864Belleville Senators-Cleveland Monsters-
156 - 2027-03-03886Cleveland Monsters-Bridgeport Islanders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158 - 2027-03-05905Toronto Marlies-Cleveland Monsters-
159 - 2027-03-06910Cleveland Monsters-Toronto Marlies-
163 - 2027-03-10932Cleveland Monsters-Grand Rapids Griffins-
165 - 2027-03-12942Cleveland Monsters-Milwaukee Admirals-
166 - 2027-03-13956Cleveland Monsters-Milwaukee Admirals-
169 - 2027-03-16975Rochester Americans-Cleveland Monsters-
170 - 2027-03-17981Rochester Americans-Cleveland Monsters-
173 - 2027-03-201000Cleveland Monsters-Toronto Marlies-
179 - 2027-03-261035Lehigh Valley Phantoms-Cleveland Monsters-
180 - 2027-03-271049Lehigh Valley Phantoms-Cleveland Monsters-
184 - 2027-03-311067Cleveland Monsters-Rochester Americans-
186 - 2027-04-021074Chicago Wolfs-Cleveland Monsters-
187 - 2027-04-031087Chicago Wolfs-Cleveland Monsters-
191 - 2027-04-071112Cleveland Monsters-Syracuse Crunch-
193 - 2027-04-091126Cleveland Monsters-Rochester Americans-
194 - 2027-04-101147Toronto Marlies-Cleveland Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
245,322$ 2,185,500$ 2,185,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,151$ 245,322$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 174 11,151$ 1,940,274$




Cleveland 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
1James Malatesta1686166127-291820826947112.95%59288417.171420343620255548.23%00.8827
2Dominik Shine164367110710922621943629.94%57303618.52618243800036138.22%10.7017
3Dylan Gambrell82345488-11169014420416.67%42156719.121218302500008450.15%01.1216
4Jake Christiansen170205676104922322216112.42%207314318.496814440223610%00.4800
5Reid Schaefer170403575246829119031512.70%36229813.5239123701125033.33%00.6501

Cleveland 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
1Jet Greaves82472680.8953.1348274325223961311840.64734
2Colin Delia803633100.9012.8146286321721880310.56316
3Nolan LaLonde63210.9242.5233300141840000.5004
4Evan Gardner91200.9172.48339001416900100
5Alexandar Georgiev10000.8335.81310031800000

Cleveland 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
202482392606425291274174120120411313912613411914023121521484103291469760434212611516232950193887154248387644318201936131.61%2096369.86%4737144750.93%725158445.77%573118848.23%157076217128301681830
202582293507614227237-1041171503303116118-241122004311111119-884227404631237868739244479675785649235976838917431543019.48%1652584.85%21279253450.47%1286255250.39%629132847.36%1899127719436361131561
2026632000011418-44310000097220100001511-67142640003561168465070620253281351218.33%14471.43%09519050.00%11019656.12%439545.26%13993144468140
Total Saison régulière1707163013103105325293864028074162642511384313506624268278-101945328991431661231991942649411343174517971095044169786036983599225.63%3889276.29%62111417150.61%2121433248.96%1245261147.68%360921333800151328941432
Séries éliminatoires
2024514000001021-1130300000516-11211000005502101929000730136205759016250281329111.11%14471.43%1429046.67%378444.05%356752.24%9445107479750
Total Séries éliminatoires514000001021-1130300000516-11211000005502101929000730136205759016250281329111.11%14471.43%1429046.67%378444.05%356752.24%9445107479750

Cleveland 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
1Dominik Shine514502168147.14%29919.99000001100044.44%01.0000
2Leon Gawanke5145-4285128.33%812324.7301110110000%00.8100
3Dylan Gambrell522410661020.00%69418.81000010110047.27%00.8500
4James Malatesta5213-1097238.70%211823.72000200000130.77%00.5100
5Colin Theisen5123-22138119.09%27515.170000000000100.00%00.7900

Cleveland 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
1Jet Greaves51400.8774.172590018146850000
2Michael Houser20000.8134.50400031690000