Cleveland Monsters
GP: 33 | W: 15 | L: 15 | OTL: 3 | P: 33
GF: 91 | GA: 119 | PP%: 18.95% | PK%: 75.00%
DG: TBD | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #514 vs Hartford Wolf Pack
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Centre de jeu
Cleveland Monsters
15-15-3, 33pts
3
FINAL
4 Springfield Thunderbirds
13-16-2, 28pts
Team Stats
L2SéquenceW1
8-6-1Fiche domicile6-8-2
7-9-2Fiche domicile7-8-0
2-8-0Derniers 10 matchs5-4-1
2.76Buts par match 3.23
3.61Buts contre par match 3.74
18.95%Pourcentage en avantage numérique20.21%
75.00%Pourcentage en désavantage numérique80.00%
Cleveland Monsters
15-15-3, 33pts
2
FINAL
4 Manitoba Moose
8-18-6, 22pts
Team Stats
L2SéquenceW1
8-6-1Fiche domicile4-7-5
7-9-2Fiche domicile4-11-1
2-8-0Derniers 10 matchs2-8-0
2.76Buts par match 2.34
3.61Buts contre par match 3.38
18.95%Pourcentage en avantage numérique11.11%
75.00%Pourcentage en désavantage numérique83.92%
Hartford Wolf Pack
18-11-3, 39pts
2025-04-04
Cleveland Monsters
15-15-3, 33pts
Statistiques d’équipe
SOL1SéquenceL2
7-7-2Fiche domicile8-6-1
11-4-1Fiche visiteur7-9-2
5-3-210 derniers matchs2-8-0
3.22Buts par match 2.76
2.91Buts contre par match 2.76
21.82%Pourcentage en avantage numérique18.95%
77.12%Pourcentage en désavantage numérique75.00%
Cleveland Monsters
15-15-3, 33pts
2025-04-07
Belleville Senators
17-15-0, 34pts
Statistiques d’équipe
L2SéquenceW3
8-6-1Fiche domicile7-8-0
7-9-2Fiche visiteur10-7-0
2-8-010 derniers matchs6-4-0
2.76Buts par match 3.22
3.61Buts contre par match 3.22
18.95%Pourcentage en avantage numérique14.04%
75.00%Pourcentage en désavantage numérique79.35%
Laval Rocket
15-14-3, 33pts
2025-04-08
Cleveland Monsters
15-15-3, 33pts
Statistiques d’équipe
W1SéquenceL2
9-5-2Fiche domicile8-6-1
6-9-1Fiche visiteur7-9-2
4-5-110 derniers matchs2-8-0
3.53Buts par match 2.76
3.66Buts contre par match 2.76
14.41%Pourcentage en avantage numérique18.95%
74.36%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Callahan Burke
16
Passes
Kyle Clifford
17
Points
Callahan Burke
27
Plus/Moins
Philip Kemp
7
Victoires
Peyton Jones
8
Pourcentage d’arrêts
Jared Moe
0.957

Statistiques d’équipe
Buts pour
91
2.76 GFG
Tirs pour
997
30.21 Avg
Pourcentage en avantage numérique
18.9%
18 GF
Début de zone offensive
35.4%
Buts contre
119
3.61 GAA
Tirs contre
1265
38.33 Avg
Pourcentage en désavantage numérique
75.0%%
40 GA
Début de la zone défensive
45.9%
Informations de l'équipe

Directeur généralTBD
DivisionDivision 2
ConférenceConference 1
CapitaineKyle Clifford
Assistant #1Mackenzie MacEachern
Assistant #2Dylan McIlrath


Informations de l’aréna

Capacité3,000
Assistance2,818
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 55
Espoirs11


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
1Nick Abruzzese (R)0XX100.007265866262898766806562625648487250620252900,000$
2Kyle Clifford (C)0X100.007182356478676662505757675481852150610342900,000$
3Callahan Burke0XX99.0072668461658580647861626257454564506002711,000,000$
4Mackenzie MacEachern (A)0X99.007167897170575860505957675462633650590301775,000$
5Milos Kelemen0XX99.006462676362788560505363606049497250580251700,000$
6Judd Caulfield (R)0X100.008177896277646756505256665346467850570232700,000$
7Karl Henriksson (R)0X100.007365906462788355694956605345457950570231900,000$
8Riley Sutter0X100.007979726076788354505053645047477250570252900,000$
9Sam Morton0X100.007367885967515057504862625948487150550251700,000$
10Collin Adams0X100.007261996761545455505056615345456450550261700,000$
11Alexander Pashin (R)0XXX99.006554906754586149614647564546467850520222826,667$
12Dylan McIlrath (A)0X100.008292536390738047253541653960602150610321775,000$
13Chase Priskie0X100.007369846570747956255248644347475250600282950,000$
14Nikolai Knyzhov0X100.0071698567725760572550466539575763505902611,250,000$
15Philip Kemp0X100.008080726276758448254040613847477250580251775,000$
16Ole Julian Bjorgvik Holm (R)0X100.007872916872565944253439613746467850550222896,667$
17Zach Uens (R)0X100.007068746568515347253741583945457950530232925,000$
Rayé
1Pontus Holmberg0XX100.007142906562648665566766712558587250630251800,000$
2Yegor Surin (R)0XX100.006965337272738269676264636746469550620183875,000$
3Max Willman0X100.007444976672517360355567642549495250590291700,000$
4Dave Gust0X100.006963826463555363506062615947473750570301700,000$
5Bogdan Trineyev (R)0X100.007974906074646852504554645145457950550221700,000$
6John Parker-Jones (R)0XXXX93.357787556787444444453142614047477250540242700,000$
MOYENNE D’ÉQUIPE99.54736878657065695647505463485050645058
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
1Peyton Jones099.00594759846769626771663046465350630283900,000$
2Luke Cavallin (R)0100.00594759746468606670663045457950610236700,000$
Rayé
1Hunter Jones0100.005947598367706369726630464673506302441,999,000$
2Jared Moe0100.00594761816670626871663051477250630256950,000$
MOYENNE D’ÉQUIPE99.7559476081666962687166304746695063
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
1Callahan BurkeCleveland Monsters (CBJ)C/RW33161127160144498317116.33%757317.384261582000023456.52%6900210.9400000332
2Nick AbruzzeseCleveland Monsters (CBJ)C/LW331015251401910011530768.70%1268120.65257238301131081052.99%73600000.7303000130
3Pontus HolmbergCleveland Monsters (CBJ)C/LW2991423-48021839719729.28%1056219.39257176000031213045.52%85900100.8213000302
4Kyle CliffordCleveland Monsters (CBJ)LW33617231415102698827716.82%363319.1924615770004721159.62%5200000.7302001110
5Nikolai KnyzhovCleveland Monsters (CBJ)D3341620660423525121416.00%4668220.6924611690000109000%000000.5900000010
6Milos KelemenCleveland Monsters (CBJ)C/RW218816-260203171143711.27%733916.17000050001151138.95%9500000.9400000201
7Karl HenrikssonCleveland Monsters (CBJ)C3351015-2160166648113410.42%448714.7900000000000144.51%51000000.6100000100
8Mackenzie MacEachernCleveland Monsters (CBJ)RW33681416021486918368.70%1043513.1812313720000431139.06%6400000.6412000101
9Philip KempCleveland Monsters (CBJ)D3311213750012515259104.00%4368320.7212310740000111000%000000.3800000001
10Dylan McIlrathCleveland Monsters (CBJ)D333912-1152015325364198.33%5977523.501129780110111110%000000.3100000110
11Sam MortonCleveland Monsters (CBJ)LW336511-310023326515549.23%348614.7400002101250053.85%2600000.4500000011
12Chase PriskieCleveland Monsters (CBJ)D332810-124021294017285.00%3879324.0424614790000134100%000000.2500000001
13Matt RempeColumbus Blue JacketsC/RW1525703604416307256.67%118712.5200001000061040.00%2000000.7500000010
14Yegor SurinCleveland Monsters (CBJ)C/LW19437-410066515618507.14%745223.801016360004710046.05%29100000.3102000011
15Collin AdamsCleveland Monsters (CBJ)LW30426-5007134062510.00%12789.3000000000000012.50%1600000.4300000000
16Riley SutterCleveland Monsters (CBJ)RW33145-412044243812312.63%43219.7300000000000036.84%1900000.3100000001
17Ole Julian Bjorgvik HolmCleveland Monsters (CBJ)D3305502207013173110%3353616.2700017000045000%000000.1900000001
18Alexander PashinCleveland Monsters (CBJ)C/LW/RW14224240471651612.50%022115.800004350000621040.00%3000000.3600000001
19Zach UensCleveland Monsters (CBJ)D30123-34005920184115.56%4045015.020000000000000%000000.1300000000
20Dave GustCleveland Monsters (CBJ)RW3000000000100%010.480000000000000%10000000000000
21Judd CaulfieldCleveland Monsters (CBJ)RW7000120102010%0111.630000000000000%00000000000000
22John Parker-JonesCleveland Monsters (CBJ)C/LW/RW/D3000010014103140%1872.900001110000200037.30%1260000000000010
Statistiques d’équipe totales ou en moyenne59490156246-2933558867319972646969.03%329968316.3018294713978012317104214946.81%291400310.51212001131313
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
1Peyton JonesCleveland Monsters (CBJ)188710.9103.5982020495460010.5717172110
2Hunter JonesCleveland Monsters (CBJ)93320.9232.7044500202600100.8005710010
3Luke CavallinCleveland Monsters (CBJ)153300.9023.67588003636900100619010
4Jared MoeCleveland Monsters (CBJ)11000.9571.0060001230000011000
5Joseph WollColumbus Blue Jackets20200.8626.5183009650000021000
Statistiques d’équipe totales ou en moyenne45151530.9093.451998201151263012123333130


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 PashinCleveland Monsters (CBJ)C/LW/RW222002-07-28RUSYes156 Lbs5 ft8NoNoAssign ManuallyNoNo22024-04-22FalseFalsePro & Farm826,667$0$0$No826,667$--------826,667$--------No--------Lien
Bogdan TrineyevCleveland Monsters (CBJ)LW222002-03-04RUSYes199 Lbs6 ft3NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Callahan BurkeCleveland Monsters (CBJ)C/RW271997-05-19USANo183 Lbs5 ft10NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Chase PriskieCleveland Monsters (CBJ)D281996-03-18USANo193 Lbs6 ft0NoNoAssign ManuallyNoNo22024-12-29FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Collin AdamsCleveland Monsters (CBJ)LW261998-04-24USANo173 Lbs5 ft9NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Dave GustCleveland Monsters (CBJ)RW301994-02-21USANo176 Lbs5 ft10NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Dylan McIlrathCleveland Monsters (CBJ)D321992-04-20MANNo233 Lbs6 ft5NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Hunter JonesCleveland Monsters (CBJ)G242000-09-21ONTNo203 Lbs6 ft4NoNoAssign ManuallyNoNo42025-01-15FalseFalsePro & Farm1,999,000$0$0$No1,999,000$1,999,000$1,999,000$------1,999,000$1,999,000$1,999,000$------NoNoNo------Lien
Jared MoeCleveland Monsters (CBJ)G251999-07-22USANo208 Lbs6 ft3NoNoTrade2025-02-10NoNo62024-12-29FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$950,000$950,000$----950,000$950,000$950,000$950,000$950,000$----NoNoNoNoNo----Lien
John Parker-Jones (sur la masse salariale)Cleveland Monsters (CBJ)C/LW/RW/D242000-04-07ONTYes232 Lbs6 ft7NoNoAssign ManuallyNoNo22025-01-16FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Judd CaulfieldCleveland Monsters (CBJ)RW232001-03-19USAYes209 Lbs6 ft3NoNoAssign ManuallyNoNo22025-01-16FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Karl HenrikssonCleveland Monsters (CBJ)C232001-05-02SWEYes178 Lbs5 ft9NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Kyle CliffordCleveland Monsters (CBJ)LW341991-01-13ONTNo212 Lbs6 ft2NoNoAssign ManuallyNoNo22024-12-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Luke CavallinCleveland Monsters (CBJ)G232001-04-29GBRYes200 Lbs6 ft1NoNoAssign ManuallyNoNo62025-01-10FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$700,000$700,000$----700,000$700,000$700,000$700,000$700,000$----NoNoNoNoNo----Lien
Mackenzie MacEachernCleveland Monsters (CBJ)RW301994-03-08USANo190 Lbs6 ft2NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Max WillmanCleveland Monsters (CBJ)LW291995-02-13USANo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien / Lien NHL
Milos KelemenCleveland Monsters (CBJ)C/RW251999-06-07SVKNo166 Lbs6 ft1NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien / Lien NHL
Nick AbruzzeseCleveland Monsters (CBJ)C/LW251999-04-06USAYes175 Lbs5 ft10NoNoAssign ManuallyNoNo22024-12-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Nikolai KnyzhovCleveland Monsters (CBJ)D261998-03-20RUSNo195 Lbs6 ft2NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien / Lien NHL
Ole Julian Bjorgvik HolmCleveland Monsters (CBJ)D222002-05-23NORYes194 Lbs6 ft2NoNoAssign ManuallyNoNo22024-04-22FalseFalsePro & Farm896,667$0$0$No896,667$--------896,667$--------No--------Lien
Peyton JonesCleveland Monsters (CBJ)G281996-02-14USANo207 Lbs6 ft4NoNoAssign ManuallyNoNo32024-12-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Philip KempCleveland Monsters (CBJ)D251999-02-12USANo204 Lbs6 ft3NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Pontus HolmbergCleveland Monsters (CBJ)C/LW251999-09-03SWENo177 Lbs5 ft10NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Riley SutterCleveland Monsters (CBJ)RW251999-10-25ABNo203 Lbs6 ft3NoNoAssign ManuallyNoNo22024-12-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Sam MortonCleveland Monsters (CBJ)LW251999-07-28USANo183 Lbs6 ft0NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Yegor SurinCleveland Monsters (CBJ)C/LW182006-08-01RUSYes198 Lbs6 ft2NoNoAssign ManuallyNoNo32025-01-10FalseFalsePro & Farm875,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien
Zach UensCleveland Monsters (CBJ)D232001-05-13ONTYes184 Lbs6 ft1NoNoAssign ManuallyNoNo22024-04-22FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.52194 Lbs6 ft11.96873,975$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander PashinMackenzie MacEachern25005
2Kyle CliffordNick AbruzzeseCallahan Burke25005
3Sam MortonKarl HenrikssonMilos Kelemen25005
4Collin AdamsRiley Sutter25005
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathChase Priskie30050
2Nikolai KnyzhovPhilip Kemp30050
3Ole Julian Bjorgvik HolmZach Uens25050
4Dylan McIlrathChase Priskie15050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander PashinMackenzie MacEachern60005
2Kyle CliffordNick AbruzzeseCallahan Burke40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathChase Priskie60050
2Nikolai KnyzhovPhilip Kemp40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexander Pashin60122
2Nick AbruzzeseKyle Clifford40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathChase Priskie60122
2Nikolai KnyzhovPhilip Kemp40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Dylan McIlrathChase Priskie60122
2Nick Abruzzese40122Nikolai KnyzhovPhilip Kemp40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander Pashin60122
2Nick AbruzzeseKyle Clifford40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathChase Priskie60122
2Nikolai KnyzhovPhilip Kemp40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander PashinMackenzie MacEachernDylan McIlrathChase Priskie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander PashinMackenzie MacEachernDylan McIlrathChase Priskie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mackenzie MacEachern, Callahan Burke, Milos KelemenMackenzie MacEachern, Callahan BurkeMackenzie MacEachern
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Kemp, Ole Julian Bjorgvik Holm, Zach UensPhilip KempPhilip Kemp, Ole Julian Bjorgvik Holm
Tirs de pénalité
, Nick Abruzzese, Alexander Pashin, Kyle Clifford, Mackenzie MacEachern
Gardien
#1 : Peyton Jones, #2 : Luke Cavallin
Lignes d’attaque personnalisées en prolongation
, Nick Abruzzese, Alexander Pashin, Kyle Clifford, Mackenzie MacEachern, Callahan Burke, Callahan Burke, Milos Kelemen, Riley Sutter, Karl Henriksson, Sam Morton
Lignes de défense personnalisées en prolongation
Dylan McIlrath, Chase Priskie, Nikolai Knyzhov, Philip Kemp, Ole Julian Bjorgvik Holm


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
1Belleville Senators1010000006-61010000006-60000000000000.00000000272634528307313355344361023100.00%5260.00%0487102047.75%599132445.24%27854151.39%682446889260429198
2Bridgeport Islanders11000000431110000004310000000000021.00047110027263454730731335534374639100.00%2150.00%0487102047.75%599132445.24%27854151.39%682446889260429198
3Charlotte Checkers1010000005-51010000005-50000000000000.0000000027263453030731335534338826300.00%4175.00%0487102047.75%599132445.24%27854151.39%682446889260429198
4Coachella Valley Firebirds11000000422000000000001100000042221.000461000272634523307313355342410222300.00%10100.00%0487102047.75%599132445.24%27854151.39%682446889260429198
5Colorado Eagles42200000981211000005412110000044040.50091524002726345122307313355341323445989222.22%19384.21%0487102047.75%599132445.24%27854151.39%682446889260429198
6Grand Rapids Griffins1010000013-21010000013-20000000000000.00012310272634536307313355343481026300.00%5180.00%0487102047.75%599132445.24%27854151.39%682446889260429198
7Hartford Wolf Pack30100101814-61000000134-120100100510-520.3338142200272634584307313355341063426848112.50%13284.62%0487102047.75%599132445.24%27854151.39%682446889260429198
8Henderson Silver Knights1010000015-4000000000001010000015-400.000123002726345223073133553441121029100.00%50100.00%0487102047.75%599132445.24%27854151.39%682446889260429198
9Iowa Wild11000000312110000003120000000000021.0003580027263452630731335534328622000%30100.00%0487102047.75%599132445.24%27854151.39%682446889260429198
10Lehigh Valley Phantoms321000001082220000009451010000014-340.6671018280027263451263073133553410230328816637.50%16287.50%0487102047.75%599132445.24%27854151.39%682446889260429198
11Manitoba Moose1010000024-2000000000001010000024-200.000246102726345253073133553439138204125.00%4175.00%0487102047.75%599132445.24%27854151.39%682446889260429198
12Milwaukee Admirals10000010541000000000001000001054121.0005813002726345273073133553447118274250.00%4175.00%0487102047.75%599132445.24%27854151.39%682446889260429198
13Ontario Reign21001000963100010004311100000053241.000914230027263457330731335534772022548112.50%10370.00%0487102047.75%599132445.24%27854151.39%682446889260429198
14Rochester Americans1000000134-1000000000001000000134-110.5003690027263452730731335534499629200.00%3166.67%0487102047.75%599132445.24%27854151.39%682446889260429198
15Rockford IceHogs1010000016-5000000000001010000016-500.000112002726345173073133553440131224100.00%6433.33%0487102047.75%599132445.24%27854151.39%682446889260429198
16San Diego Gulls11000000312110000003120000000000021.000358002726345293073133553452141237200.00%50100.00%0487102047.75%599132445.24%27854151.39%682446889260429198
17San Jose Barracuda20101000610-41010000016-51000100054120.500611170027263456130731335534952228516116.67%13376.92%1487102047.75%599132445.24%27854151.39%682446889260429198
18Springfield Thunderbirds1010000034-1000000000001010000034-100.000369002726345223073133553442914272150.00%7271.43%0487102047.75%599132445.24%27854151.39%682446889260429198
19Syracuse Crunch10001000321000000000001000100032121.00034700272634531307313355342956186116.67%30100.00%0487102047.75%599132445.24%27854151.39%682446889260429198
20Utica Comets422000001618-211000000532312000001115-440.50016284400272634511630731335534172495210813215.38%26965.38%0487102047.75%599132445.24%27854151.39%682446889260429198
21Wilkes-Barre/Scranton Penguins1010000005-51010000005-50000000000000.000000002726345253073133553439101434200.00%6433.33%0487102047.75%599132445.24%27854151.39%682446889260429198
Total3311150311291119-281576010013848-101849021115371-18330.50091156247202726345997307313355341265329337886951818.95%1604075.00%1487102047.75%599132445.24%27854151.39%682446889260429198
_Since Last GM Reset3311150311291119-281576010013848-101849021115371-18330.50091156247202726345997307313355341265329337886951818.95%1604075.00%1487102047.75%599132445.24%27854151.39%682446889260429198
_Vs Conference2179031016282-201053010012935-61126021003347-14220.5246210716910272634566730731335534832219226585681319.12%1082775.00%1487102047.75%599132445.24%27854151.39%682446889260429198
_Vs Division55400101720-1334000001114-1321400100660121.200712191027263451523073133553418836401221516.67%20575.00%0487102047.75%599132445.24%27854151.39%682446889260429198

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3333L291156247997126532933788620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
331115311291119
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
157610013848
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
184921115371
Derniers 10 matchs
WLOTWOTL SOWSOL
280000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
951818.95%1604075.00%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
307313355342726345
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
487102047.75%599132445.24%27854151.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
682446889260429198


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
1 - 2025-02-014Colorado Eagles3Cleveland Monsters2LSommaire du match
2 - 2025-02-0211Cleveland Monsters1Lehigh Valley Phantoms4LSommaire du match
5 - 2025-02-0533Cleveland Monsters4Utica Comets6LSommaire du match
7 - 2025-02-0745Cleveland Monsters5Milwaukee Admirals4WXXSommaire du match
9 - 2025-02-0962Hartford Wolf Pack4Cleveland Monsters3LXXSommaire du match
11 - 2025-02-1176Cleveland Monsters1Henderson Silver Knights5LSommaire du match
12 - 2025-02-1295Utica Comets3Cleveland Monsters5WSommaire du match
14 - 2025-02-14110Cleveland Monsters5Utica Comets1WSommaire du match
16 - 2025-02-16124San Diego Gulls1Cleveland Monsters3WSommaire du match
18 - 2025-02-18143Cleveland Monsters5San Jose Barracuda4WXSommaire du match
20 - 2025-02-20155Cleveland Monsters1Colorado Eagles2LSommaire du match
21 - 2025-02-21165Lehigh Valley Phantoms2Cleveland Monsters5WSommaire du match
23 - 2025-02-23185Cleveland Monsters3Hartford Wolf Pack4LXSommaire du match
25 - 2025-02-25196Bridgeport Islanders3Cleveland Monsters4WSommaire du match
27 - 2025-02-27219Colorado Eagles1Cleveland Monsters3WSommaire du match
30 - 2025-03-02238Cleveland Monsters4Coachella Valley Firebirds2WSommaire du match
31 - 2025-03-03253Iowa Wild1Cleveland Monsters3WSommaire du match
33 - 2025-03-05269Cleveland Monsters3Rochester Americans4LXXSommaire du match
34 - 2025-03-06283San Jose Barracuda6Cleveland Monsters1LSommaire du match
36 - 2025-03-08305Lehigh Valley Phantoms2Cleveland Monsters4WSommaire du match
39 - 2025-03-11322Cleveland Monsters3Syracuse Crunch2WXSommaire du match
40 - 2025-03-12337Cleveland Monsters3Colorado Eagles2WSommaire du match
42 - 2025-03-14347Belleville Senators6Cleveland Monsters0LSommaire du match
44 - 2025-03-16367Charlotte Checkers5Cleveland Monsters0LSommaire du match
47 - 2025-03-19385Cleveland Monsters1Rockford IceHogs6LSommaire du match
48 - 2025-03-20393Cleveland Monsters2Hartford Wolf Pack6LSommaire du match
50 - 2025-03-22412Grand Rapids Griffins3Cleveland Monsters1LSommaire du match
52 - 2025-03-24427Cleveland Monsters2Utica Comets8LSommaire du match
53 - 2025-03-25443Wilkes-Barre/Scranton Penguins5Cleveland Monsters0LSommaire du match
56 - 2025-03-28459Cleveland Monsters5Ontario Reign3WSommaire du match
58 - 2025-03-30474Ontario Reign3Cleveland Monsters4WXSommaire du match
60 - 2025-04-01493Cleveland Monsters3Springfield Thunderbirds4LSommaire du match
61 - 2025-04-02504Cleveland Monsters2Manitoba Moose4LSommaire du match
63 - 2025-04-04514Hartford Wolf Pack-Cleveland Monsters-
66 - 2025-04-07539Cleveland Monsters-Belleville Senators-
67 - 2025-04-08547Laval Rocket-Cleveland Monsters-
69 - 2025-04-10570Utica Comets-Cleveland Monsters-
71 - 2025-04-12587Cleveland Monsters-Iowa Wild-
73 - 2025-04-14604Colorado Eagles-Cleveland Monsters-
75 - 2025-04-16615Cleveland Monsters-Grand Rapids Griffins-
76 - 2025-04-17629Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
78 - 2025-04-19640Rochester Americans-Cleveland Monsters-
81 - 2025-04-22666Hershey Bears-Cleveland Monsters-
82 - 2025-04-23676Cleveland Monsters-Hershey Bears-
84 - 2025-04-25690Cleveland Monsters-Calgary Wranglers-
86 - 2025-04-27707Bridgeport Islanders-Cleveland Monsters-
89 - 2025-04-30731San Diego Gulls-Cleveland Monsters-
91 - 2025-05-02747Cleveland Monsters-Milwaukee Admirals-
93 - 2025-05-04762Tucson Roadrunners-Cleveland Monsters-
96 - 2025-05-07787Cleveland Monsters-Bakersfield Condors-
98 - 2025-05-09794Bakersfield Condors-Cleveland Monsters-
100 - 2025-05-11814Laval Rocket-Cleveland Monsters-
102 - 2025-05-13826Cleveland Monsters-Laval Rocket-
103 - 2025-05-14843Cleveland Monsters-Coachella Valley Firebirds-
105 - 2025-05-16857Syracuse Crunch-Cleveland Monsters-
107 - 2025-05-18875Cleveland Monsters-San Diego Gulls-
109 - 2025-05-20888Toronto Marlies-Cleveland Monsters-
112 - 2025-05-23916Chicago Wolves-Cleveland Monsters-
113 - 2025-05-24927Cleveland Monsters-Charlotte Checkers-
115 - 2025-05-26941Cleveland Monsters-Chicago Wolves-
117 - 2025-05-28956Texas Stars-Cleveland Monsters-
119 - 2025-05-30973Cleveland Monsters-Texas Stars-
121 - 2025-06-01986Iowa Wild-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2025-06-031005Cleveland Monsters-Tucson Roadrunners-
125 - 2025-06-051016Henderson Silver Knights-Cleveland Monsters-
128 - 2025-06-081041Rockford IceHogs-Cleveland Monsters-
130 - 2025-06-101065Calgary Wranglers-Cleveland Monsters-
131 - 2025-06-111076Cleveland Monsters-Toronto Marlies-
134 - 2025-06-141097Cleveland Monsters-Bridgeport Islanders-
136 - 2025-06-161110Abbotsford Canucks-Cleveland Monsters-
138 - 2025-06-181129Providence Bruins-Cleveland Monsters-
139 - 2025-06-191143Cleveland Monsters-Providence Bruins-
142 - 2025-06-221165Wilkes-Barre/Scranton Penguins-Cleveland Monsters-
145 - 2025-06-251188Springfield Thunderbirds-Cleveland Monsters-
146 - 2025-06-261190Cleveland Monsters-Henderson Silver Knights-
147 - 2025-06-271196Cleveland Monsters-Lehigh Valley Phantoms-
151 - 2025-07-011226Manitoba Moose-Cleveland Monsters-
154 - 2025-07-041241Cleveland Monsters-Abbotsford Canucks-
156 - 2025-07-061258Milwaukee Admirals-Cleveland Monsters-
158 - 2025-07-081273Cleveland Monsters-Bridgeport Islanders-
163 - 2025-07-131288Coachella Valley Firebirds-Cleveland Monsters-
165 - 2025-07-151296Cleveland Monsters-Lehigh Valley Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance28,17614,098
Assistance PCT93.92%93.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2818 - 93.94% 40,720$610,793$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
8,523,620$ 22,897,334$ 22,897,334$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 8,523,620$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,058,708$ 108 135,487$ 14,632,596$




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

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

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

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

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