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Cleveland Monsters
GP: 10 | W: 5 | L: 4 | OTL: 1 | P: 11
GF: 22 | GA: 24 | PP%: 13.33% | PK%: 79.17%
DG: Robert Söder | Morale : 49 | Moyenne d’équipe : 57
Prochains matchs #172 vs Rochester Americans

Centre de jeu
Milwaukee Admirals
2-8-0, 4pts
1
6 Cleveland Monsters
5-4-1, 11pts
Team Stats
L7SéquenceW2
2-3-0Fiche domicile5-1-0
0-5-0Fiche domicile0-3-1
2-8-0Derniers 10 matchs5-4-1
2.10Buts par match 2.20
3.10Buts contre par match 2.40
17.65%Pourcentage en avantage numérique13.33%
73.91%Pourcentage en désavantage numérique79.17%
Milwaukee Admirals
2-8-0, 4pts
0
1 Cleveland Monsters
5-4-1, 11pts
Team Stats
L7SéquenceW2
2-3-0Fiche domicile5-1-0
0-5-0Fiche domicile0-3-1
2-8-0Derniers 10 matchs5-4-1
2.10Buts par match 2.20
3.10Buts contre par match 2.40
17.65%Pourcentage en avantage numérique13.33%
73.91%Pourcentage en désavantage numérique79.17%
Cleveland Monsters
5-4-1, 11pts
2026-11-04
Rochester Americans
5-3-2, 12pts
Statistiques d’équipe
W2SéquenceW1
5-1-0Fiche domicile3-1-1
0-3-1Fiche visiteur2-2-1
5-4-110 derniers matchs5-3-2
2.20Buts par match 3.00
2.40Buts contre par match 3.00
13.33%Pourcentage en avantage numérique22.73%
79.17%Pourcentage en désavantage numérique80.00%
Cleveland Monsters
5-4-1, 11pts
2026-11-06
Laval Rocket
4-7-0, 8pts
Statistiques d’équipe
W2SéquenceL4
5-1-0Fiche domicile3-2-0
0-3-1Fiche visiteur1-5-0
5-4-110 derniers matchs3-7-0
2.20Buts par match 2.09
2.40Buts contre par match 2.09
13.33%Pourcentage en avantage numérique15.79%
79.17%Pourcentage en désavantage numérique88.89%
Cleveland Monsters
5-4-1, 11pts
2026-11-07
Laval Rocket
4-7-0, 8pts
Statistiques d’équipe
W2SéquenceL4
5-1-0Fiche domicile3-2-0
0-3-1Fiche visiteur1-5-0
5-4-110 derniers matchs3-7-0
2.20Buts par match 2.09
2.40Buts contre par match 2.09
13.33%Pourcentage en avantage numérique15.79%
79.17%Pourcentage en désavantage numérique88.89%
Meneurs d'équipe
Reid SchaeferButs
Reid Schaefer
4
Mathew DumbaPasses
Mathew Dumba
6
Mathieu JosephPoints
Mathieu Joseph
7
Plus/Moins
Ben Berard
4
Victoires
Nolan LaLonde
5
Pourcentage d’arrêts
Nolan LaLonde
0.93

Statistiques d’équipe
Buts pour
22
2.20 GFG
Tirs pour
253
25.30 Avg
Pourcentage en avantage numérique
13.3%
2 GF
Début de zone offensive
38.2%
Buts contre
24
2.40 GAA
Tirs contre
305
30.50 Avg
Pourcentage en désavantage numérique
79.2%%
5 GA
Début de la zone défensive
42.2%
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 Pro24
Équipe Mineure21
Limite Contrat45 / 60
Espoirs32


Historique d'équipe

Saison actuelle5-4-1 (11PTS)
Historique89-65-23 (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 Joseph0XX100.00906698667665786230746470416851052640281975,000$
2Sonny Milano0X100.0065389972795968775372685669625105263N0291975,000$
3Reid Schaefer0X100.00907093648161766545646763594444052610221886,667$
4Mikael Pyyhtia0X100.00603391645750846545636456584646052580232875,000$
5Ben Berard0XX100.00653693616050866355586254565249052570261875,000$
6Cedric Pare0X100.0072578557635085587558565751524904956N0261875,000$
7Ryan Schmelzer0XX100.0066558757615087575560555750625404956N0321875,000$
8Gabriel Seger0XX100.0069389356665089565556556649504804956N0251875,000$
9Joseph LaBate0X100.0082796959655066607556625555645505256N0321875,000$
10Gracyn Sawchyn (R)0XX100.00573191615350726355635858544343052550201775,000$
11James Malatesta0X100.00706077575550835775555956524444047540221850,000$
12Hunter McKown0XX100.00645487585850865855585753514545050540231850,000$
13Alex Petrovic0X100.0084698263796680562562587737615305264N0331975,000$
14Mathew Dumba0X100.0075648064766568622560567352815505263N0311975,000$
15Jake Christiansen0X100.00753994637056736025585376365246052610261975,000$
16Corson Ceulemans0X100.00695687586250865625545465494545052570221850,000$
17Dmitri Osipov0X100.0072598154625079512550517045565104957N0281875,000$
18Guillaume Richard (R)0X100.00583393565850895525515274484545052570221775,000$
Rayé
1Jordan Dumais0X100.00593495575550775845575753514444040530211859,999$
2Max McCue0X100.00726179566050675875575255494545040530221933,333$
3Luca Marrelli (R)0X100.00623491615950705925575364504242040550191775,000$
MOYENNE D’ÉQUIPE100.0070518860655379604659586251534804958
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 Appleby0100.0053464181534850515255506653053540301875,000$
2Nolan LaLonde (R)0100.0054454078584855605457504844049540211775,000$
Rayé
1Alexandar Georgiev0100.0055464175484645455054506452046510291875,000$
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
1Mathieu JosephCleveland Monsters (CBJ)LW/RW1034714027163211199.38%220520.511126130000110024.71%8500010.6811000200
2Mathew DumbaCleveland Monsters (CBJ)D1016706012131031010.00%1022222.21022615000017000%000000.6300000010
3Alex PetrovicCleveland Monsters (CBJ)D1006611402615156170%1823023.02011214000014000%000000.5200000001
4Reid SchaeferCleveland Monsters (CBJ)LW10426060281524142216.67%119519.520002130000123031.58%1900000.6101000110
5Gracyn SawchynCleveland Monsters (CBJ)LW/RW1032530029151320.00%310510.5800000000080050.00%600000.9501000011
6James MalatestaCleveland Monsters (CBJ)C61343009861616.67%08113.6300001000070062.35%8500000.9800000002
7Sonny MilanoCleveland Monsters (CBJ)RW102241004143110206.45%418318.331014140000180036.84%1900000.4401000011
8Jake ChristiansenCleveland Monsters (CBJ)D10123020141283912.50%1020320.36000312000020100%000000.2900000010
9Ben BerardCleveland Monsters (CBJ)LW/RW102134004623668.70%114914.9100006000010133.33%600000.4000000000
10Luca PinelliColumbus Blue JacketsC8123-220319911311.11%114718.47000111000010050.00%17800000.4100000000
11Ryan SchmelzerCleveland Monsters (CBJ)LW/RW10033300439580%010110.1200000000040062.50%800000.5900000001
12Joseph LaBateCleveland Monsters (CBJ)C1021322030171621112.50%013313.3600000000000149.28%13800000.4500000100
13Mikael PyyhtiaCleveland Monsters (CBJ)LW10112-400110178135.88%116316.34000370000101060.00%1500000.2400000000
14Cedric PareCleveland Monsters (CBJ)C101121001013101410.00%116616.640000140000100048.43%22300000.2400000000
15Dmitri OsipovCleveland Monsters (CBJ)D10022-1401972330%1016416.490000100006000%000000.2400000000
16Guillaume RichardCleveland Monsters (CBJ)D10011020393250%818018.0200000000011000%000000.1100000000
17Corson CeulemansCleveland Monsters (CBJ)D100000401088350%719419.46000211000013000%00000000000000
18Hunter McKownCleveland Monsters (CBJ)LW/RW6000000020000%1152.6300000000000066.67%60000000000000
19Gabriel SegerCleveland Monsters (CBJ)LW/RW10000-20041015280%112712.7900000000000025.00%40000000000000
Statistiques d’équipe totales ou en moyenne18022396110460210206253821828.70%79297116.512462913800001705247.47%79200010.4114000456
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)105410.9302.0957321202870000.5004100210
2Alexandar GeorgievCleveland Monsters (CBJ)10000.8335.8131003180000004000
Statistiques d’équipe totales ou en moyenne115410.9252.2860521233050004104210


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$800,893$0$0$No---------------------------Lien / Lien NHL
Alexandar GeorgievCleveland Monsters (CBJ)G291996-02-10CANNo180 Lbs6 ft1NoNoFree Agent2024-07-28NoNo12026-10-02FalseFalsePro & Farm875,000$718,750$0$0$No---------------------------Lien / Lien NHL
Ben BerardCleveland Monsters (CBJ)LW/RW261999-02-13CANNo200 Lbs6 ft0NoNoFree AgentNoNo12026-10-02FalseFalsePro & Farm875,000$718,750$0$0$No---------------------------Lien
Cedric PareCleveland Monsters (CBJ)C261999-01-24CANNo204 Lbs6 ft2YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$718,750$0$0$No---------------------------Lien / Lien NHL
Corson CeulemansCleveland Monsters (CBJ)D222003-05-05CANNo198 Lbs6 ft2NoNoAssign ManuallyNoNo12026-08-08FalseFalsePro & Farm850,000$698,214$0$0$No---------------------------Lien / Lien NHL
Dmitri OsipovCleveland Monsters (CBJ)D281996-10-04RUSNo190 Lbs6 ft3YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$718,750$0$0$No---------------------------Lien
Gabriel SegerCleveland Monsters (CBJ)LW/RW251999-11-15SWENo218 Lbs6 ft4YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$718,750$0$0$No---------------------------Lien
Gracyn SawchynCleveland Monsters (CBJ)LW/RW202005-01-19CANYes148 Lbs5 ft10NoNoProspectNoNo12026-06-12FalseFalsePro & Farm775,000$636,607$0$0$No---------------------------Lien
Guillaume RichardCleveland Monsters (CBJ)D222003-02-10CANYes161 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$636,607$0$0$No---------------------------Lien
Hunter McKownCleveland Monsters (CBJ)LW/RW232002-08-18USANo171 Lbs6 ft0NoNoAssign ManuallyNoNo12026-08-08FalseFalsePro & Farm850,000$698,214$0$0$No---------------------------Lien / Lien NHL
Jake ChristiansenCleveland Monsters (CBJ)D261999-09-12CANNo193 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-07FalseFalsePro & Farm975,000$800,893$0$0$No---------------------------Lien / Lien NHL
James MalatestaCleveland Monsters (CBJ)C222003-05-31CANNo172 Lbs5 ft9NoNoAssign ManuallyNoNo12026-08-08FalseFalsePro & Farm850,000$698,214$0$0$No---------------------------Lien / Lien NHL
Jordan DumaisCleveland Monsters (CBJ)RW212004-04-15CANNo174 Lbs5 ft9NoNoDraftNoNo12026-08-08FalseFalsePro & Farm859,999$706,428$0$0$No---------------------------Lien
Joseph LaBateCleveland Monsters (CBJ)C321993-04-16USANo205 Lbs6 ft4YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$718,750$0$0$No---------------------------Lien
Kenneth ApplebyCleveland Monsters (CBJ)G301995-04-10CANNo205 Lbs6 ft4NoNoFree AgentNoNo12026-10-02FalseFalsePro & Farm875,000$718,750$0$0$No---------------------------Lien / Lien NHL
Luca MarrelliCleveland Monsters (CBJ)D192005-10-04CANYes176 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$636,607$0$0$No---------------------------Lien
Mathew DumbaCleveland Monsters (CBJ)D311994-07-25CANNo181 Lbs6 ft0YesNoFree Agent2025-07-28NoNo12026-09-18FalseFalsePro & Farm975,000$800,893$0$0$No---------------------------Lien / Lien NHL
Mathieu JosephCleveland Monsters (CBJ)LW/RW281997-02-09CANNo187 Lbs6 ft1NoNoFree Agent2024-08-08NoNo12026-09-18FalseFalsePro & Farm975,000$800,893$0$0$No---------------------------Lien / Lien NHL
Max McCueCleveland Monsters (CBJ)C222003-03-10CANNo182 Lbs6 ft1NoNoDraftNoNo12026-08-08FalseFalsePro & Farm933,333$766,666$0$0$No---------------------------Lien
Mikael PyyhtiaCleveland Monsters (CBJ)LW232001-12-17FINNo166 Lbs6 ft0NoNoAssign ManuallyNoNo22026-08-08FalseFalsePro & Farm875,000$718,750$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Nolan LaLondeCleveland Monsters (CBJ)G212004-02-14CANYes195 Lbs6 ft2NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$636,607$0$0$No---------------------------Lien
Reid SchaeferCleveland Monsters (CBJ)LW222003-09-21CANNo226 Lbs6 ft5NoNoTrade2024-08-08NoNo12024-07-07FalseFalsePro & Farm886,667$728,334$0$0$No---------------------------Lien / Lien NHL
Ryan SchmelzerCleveland Monsters (CBJ)LW/RW321993-07-28USANo185 Lbs6 ft2YesNoFree AgentNoNo12026-10-12FalseFalsePro & Farm875,000$718,750$0$0$No---------------------------Lien / Lien NHL
Sonny MilanoCleveland Monsters (CBJ)RW291996-05-12USANo194 Lbs6 ft0YesNoFree Agent2025-02-21NoNo12026-09-18FalseFalsePro & Farm975,000$800,893$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.50189 Lbs6 ft11.04878,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathieu JosephCedric PareSonny Milano35122
2Reid SchaeferJames MalatestaBen 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 SchaeferJames MalatestaBen 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, James Malatesta, 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 Griffins41300000410-62110000035-22020000015-420.25046100057101967676996125321670300.00%8275.00%014130047.00%16533149.85%7015445.45%2241502447713567
2Lehigh Valley Phantoms20100001511-60000000000020100001511-610.25051015005710153767699676241043500.00%5260.00%014130047.00%16533149.85%7015445.45%2241502447713567
3Milwaukee Admirals22000000716220000007160000000000041.000711180157101417676996531212442150.00%60100.00%014130047.00%16533149.85%7015445.45%2241502447713567
4Wilkes-Barre/Scranton Penguins22000000624220000006240000000000041.000612180057101637676996511110535120.00%5180.00%014130047.00%16533149.85%7015445.45%2241502447713567
Total1054000012224-265100000168840300001616-10110.55022396101571012537676996305794821015213.33%24579.17%014130047.00%16533149.85%7015445.45%2241502447713567
_Since Last GM Reset1054000012224-265100000168840300001616-10110.55022396101571012537676996305794821015213.33%24579.17%014130047.00%16533149.85%7015445.45%2241502447713567
_Vs Conference834000011523-84310000097240300001616-1070.4381528430057101212767699625267361661317.69%18572.22%014130047.00%16533149.85%7015445.45%2241502447713567
_Vs Division421000011113-22200000062420100001511-650.6251122330057101116767699612735209610110.00%10370.00%014130047.00%16533149.85%7015445.45%2241502447713567

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1011W2223961253305794821001
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105400012224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
6510000168
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4030001616
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15213.33%24579.17%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
767699657101
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
14130047.00%16533149.85%7015445.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2241502447713567


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 Monsters0Grand Rapids Griffins2LSommaire du match
26 - 2026-10-24121Cleveland Monsters1Grand Rapids Griffins3LSommaire du match
32 - 2026-10-30153Milwaukee Admirals1Cleveland Monsters6WSommaire du match
33 - 2026-10-31159Milwaukee Admirals0Cleveland Monsters1WSommaire du match
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
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
386,721$ 2,108,000$ 2,108,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,755$ 386,721$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 161 10,755$ 1,731,555$




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 Malatesta1706267129-271821427447213.14%59291917.171420343620255548.48%00.8827
2Dominik Shine164367110710922621943629.94%57303618.52618243800036138.22%10.7017
3Dylan Gambrell82345488-11169014420416.67%42156719.121218302500008450.15%01.1216
4Reid Schaefer174423779257430119732512.92%36237313.6439123701127033.09%00.6701
5Jake Christiansen174205878115122722716312.27%208322218.526814450223610%00.4800

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 LaLonde105410.9302.0957321202870000.5004
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
20261054000012224-265100000168840300001616-101122396101571012537676996305794821015213.33%24579.17%014130047.00%16533149.85%7015445.45%2241502447713567
Total Saison régulière1747365013103105405355884228074162712521986313706624269283-141985409121452671252011982650261373177118261095147172388037733629325.69%3989376.63%62157428150.39%2176446748.71%1272267047.64%369521893900154429481459
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