Cleveland Monsters
GP: 82 | W: 32 | L: 39 | OTL: 11 | P: 75
GF: 247 | GA: 291 | PP%: 16.67% | PK%: 80.45%
DG: Evans | Morale : 50 | Moyenne d’équipe : 59
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Centre de jeu
Wilkes-Barre/Scranton Penguins
46-28-7, 99pts
7
FINAL
2 Cleveland Monsters
32-39-11, 75pts
Team Stats
W2SéquenceOTL1
24-14-3Fiche domicile18-18-5
22-14-4Fiche domicile14-21-6
5-3-2Derniers 10 matchs2-7-1
3.15Buts par match 3.01
2.68Buts contre par match 3.55
19.00%Pourcentage en avantage numérique16.67%
81.75%Pourcentage en désavantage numérique80.45%
Cleveland Monsters
32-39-11, 75pts
5
FINAL
6 Laval Rocket
54-20-7, 115pts
Team Stats
OTL1SéquenceW3
18-18-5Fiche domicile28-11-2
14-21-6Fiche domicile26-9-5
2-7-1Derniers 10 matchs9-1-0
3.01Buts par match 4.26
3.55Buts contre par match 3.27
16.67%Pourcentage en avantage numérique22.08%
80.45%Pourcentage en désavantage numérique79.60%
Meneurs d'équipe
Buts
Nick Abruzzese
31
Passes
Nick Abruzzese
48
Points
Nick Abruzzese
79
Plus/Moins
Nick Abruzzese
18
Victoires
Hunter Jones
10
Pourcentage d’arrêts
Hunter Jones
0.916

Statistiques d’équipe
Buts pour
247
3.01 GFG
Tirs pour
2470
30.12 Avg
Pourcentage en avantage numérique
16.7%
40 GF
Début de zone offensive
35.9%
Buts contre
291
3.55 GAA
Tirs contre
3036
37.02 Avg
Pourcentage en désavantage numérique
80.5%%
86 GA
Début de la zone défensive
45.5%
Informations de l'équipe

Directeur généralEvans
DivisionDivision 2
ConférenceConference 1
CapitaineKyle Clifford
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,816
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 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
1Yegor Surin (R)0XX95.007471337472738371686466636748489350630192875,000$
2Kyle Clifford (C)0X100.007584356478686563515858685485891750620341900,000$
3Sheldon Rempal0X100.006659896560818463505567606450505050600301700,000$
4Jasper Weatherby28XX100.007776866581748155694957665449496050590271700,000$
5Matt Rempe0XX100.009599257486436661465556572550507550580231800,000$
6Brad Malone0XX100.007078536579626555695645664373741750580361700,000$
7Joona Luoto0XX100.007973926773595859505262665949496250580271700,000$
8Tim Schaller0XX100.007977806376636554694753685067682050580341700,000$
9Judd Caulfield (R)0X100.007874906377626655505255665347477750570241700,000$
10Riley Sutter0X100.008181706076778054505053635048487150570251900,000$
11Alexander True0X100.007978816578616353665546644447476250560281700,000$
12Alexander Pashin (R)0XXX100.006353916854606049614647574547477750520231826,667$
13Chase Priskie0X100.007168856570757756255248634350504950600291950,000$
14Tyler Wotherspoon0X100.0082788365747478512545426339505034506003221,000,000$
15Jordan Gross0X100.007065846566666955254945614351515050570301700,000$
16Ole Julian Bjorgvik Holm (R)0X100.008074876972565844253439623748487650560231896,667$
17Mac Hollowell0X100.006561736561606155255540573852525750550261700,000$
18Josh Healey0X100.006774506574505342252939553751513350520311780,000$
Rayé
1Nick Abruzzese (R)0XX93.007366856262908869806865655650507050630261900,000$
2Yanni Kaldis0X100.007267846767585854254945614350504950570291700,000$
3Xavier Bouchard (R)0X100.007676766676575946253739613747477250550251700,000$
4Xavier Bernard (R)0X100.007877807077545643253040613850506950550251700,000$
5Zach Uens (R)0X100.007270736668515347253741583946467850530241925,000$
MOYENNE D’ÉQUIPE99.48757373667264675545495062465253575057
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
1Joseph Woll096.006658557766687669786775525360506602721,250,000$
2Hunter Jones0100.006047598367756973766630484871506502431,999,000$
Rayé
1Jared Moe0100.00594761816772667174663055516850650265950,000$
2Peyton Jones0100.00594759846772657074663047475250640292900,000$
3Luke Cavallin (R)0100.00604759746472657073663047477750630245700,000$
MOYENNE D’ÉQUIPE99.2061495980667268717566395049665065
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
1Nick AbruzzeseCleveland Monsters (CBJ)C/LW82314879183601192842938920310.58%45187622.896172360229011154754252.99%239100110.8417000514
2Yegor SurinCleveland Monsters (CBJ)C/LW82294271-89802492233201072609.06%27182122.229101971213011123754253.74%49500000.7826000855
3Macklin CelebriniColumbus Blue JacketsC/LW54243660192017135243621609.88%11118721.982683112010151171353.00%41700001.0112000352
4Sheldon RempalCleveland Monsters (CBJ)RW8225275214120631192296816510.92%16139817.058614532330001262136.63%10100000.7403000511
5Joona LuotoCleveland Monsters (CBJ)LW/RW82192847-1424053118211651789.00%9126915.49011070001154046.51%8600000.7400000124
6Kyle CliffordCleveland Monsters (CBJ)LW82222345-67602231442196515910.05%32148118.065384617700032315051.24%12100000.6135000231
7Judd CaulfieldCleveland Monsters (CBJ)RW82192342-71003179168459811.31%18116614.2324631138000021143.17%13900000.7200000322
8Tyler WotherspoonCleveland Monsters (CBJ)D828283691295254749632508.33%141192223.45246382140001323110%000000.3700000133
9Brad MaloneCleveland Monsters (CBJ)C/LW8282836-113008516312429776.45%22119714.60000010000161055.00%126000000.6000000000
10Chase PriskieCleveland Monsters (CBJ)D5262026-3420835358214310.34%91119923.06257341200000234000%000000.4300000111
11Tim SchallerCleveland Monsters (CBJ)C/LW68121426-12240659687227513.79%1789213.13000115000012051.63%88700000.5800000010
12Jordan GrossCleveland Monsters (CBJ)D82221236760158505527453.64%122173521.16145211840111322000%000000.2700000013
13Matt RempeCleveland Monsters (CBJ)C/RW8099187795913656103616.07%44565.7101110580001440050.91%11000000.7900000021
14Mac HollowellCleveland Monsters (CBJ)D7021618-740076404614284.35%98136619.52145241530001261000%000000.2600000111
15Yanni KaldisCleveland Monsters (CBJ)D56315184440119423620228.33%81115820.69134191190000207100%000000.3100000011
16Alexander TrueCleveland Monsters (CBJ)C8051217910044573972612.82%84615.770000400081421052.39%48100000.7400000101
17Ole Julian Bjorgvik HolmCleveland Monsters (CBJ)D71410147580133293152012.90%85127117.90000013000086000%000000.2200000011
18Jasper WeatherbyCleveland Monsters (CBJ)C/LW275813-510018535223499.62%148818.081013421011580052.76%32600000.5300000020
19Greg McKeggColumbus Blue JacketsC/LW245712-240236148133010.42%235914.97000060000211158.93%37500000.6700000112
20Alexander PashinCleveland Monsters (CBJ)C/LW/RW8336200091531020.00%110913.7500000000001080.00%500001.0900000010
21Riley SutterCleveland Monsters (CBJ)RW812350201210215209.52%41471.8200015000000057.14%700000.6800000010
22Josh HealeyCleveland Monsters (CBJ)D54145-87201461215486.67%3882015.20000120000066010%000000.1200000001
23Xavier BernardCleveland Monsters (CBJ)D1202261402647130%1117514.650001100005000%000000.2300000000
24John Parker-JonesColumbus Blue JacketsC/LW/RW/D1000000101010%11515.580000000002000%10000000000000
Statistiques d’équipe totales ou en moyenne1476244427671188921020891891247073717669.88%8852398016.2540681084452081235503043291252.94%720200110.56723000323534
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
1Hunter JonesCleveland Monsters (CBJ)27101110.9162.98144922728550200.75042242300
2Peyton JonesCleveland Monsters (CBJ)27101050.8993.49146020858390010.44492612022
3Joseph WollCleveland Monsters (CBJ)136520.9063.9370300464880011.0002134110
4Jared MoeCleveland Monsters (CBJ)2361330.9053.59132040798290020.57172111300
5Luke CavallinCleveland Monsters (CBJ)10000.9522.00300012100000013000
Statistiques d’équipe totales ou en moyenne913239110.9073.424965822833032024228282732


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/RW232002-07-28RUSYes158 Lbs5 ft8NoNoAssign ManuallyNoNo12024-04-22FalseFalsePro & Farm826,667$0$0$No---------------------------Lien
Alexander TrueCleveland Monsters (CBJ)C281997-07-17DENNo206 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Brad MaloneCleveland Monsters (CBJ)C/LW361989-05-19NBNo217 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Chase PriskieCleveland Monsters (CBJ)D291996-03-18USANo195 Lbs6 ft0NoNoAssign ManuallyNoYes12024-12-29FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Hunter JonesCleveland Monsters (CBJ)G242000-09-21ONTNo205 Lbs6 ft4NoNoAssign ManuallyNoNo32025-01-15FalseFalsePro & Farm1,999,000$0$0$No1,999,000$1,999,000$-------1,999,000$1,999,000$-------NoNo-------Lien
Jared MoeCleveland Monsters (CBJ)G261999-07-22USANo210 Lbs6 ft3NoNoTrade2025-02-10NoNo52024-12-29FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$950,000$-----950,000$950,000$950,000$950,000$-----NoNoNoNo-----Lien
Jasper WeatherbyCleveland Monsters (CBJ)C/LW271998-01-22USANo219 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Joona LuotoCleveland Monsters (CBJ)LW/RW271997-09-26FINNo194 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jordan GrossCleveland Monsters (CBJ)D301995-05-09USANo186 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Joseph WollCleveland Monsters (CBJ)G271998-07-12USANo203 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-27FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien / Lien NHL
Josh HealeyCleveland Monsters (CBJ)D311994-07-12ABNo208 Lbs6 ft0NoNoAssign ManuallyNoNo12025-08-29FalseFalsePro & Farm780,000$0$0$No---------------------------Lien
Judd CaulfieldCleveland Monsters (CBJ)RW242001-03-19USAYes212 Lbs6 ft3NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Kyle CliffordCleveland Monsters (CBJ)LW341991-01-13ONTNo214 Lbs6 ft2NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Luke CavallinCleveland Monsters (CBJ)G242001-04-29GBRYes201 Lbs6 ft1NoNoAssign ManuallyNoNo52025-01-10FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$700,000$-----700,000$700,000$700,000$700,000$-----NoNoNoNo-----Lien
Mac HollowellCleveland Monsters (CBJ)D261998-09-26ONTNo173 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Matt RempeCleveland Monsters (CBJ)C/RW232002-06-29ABNo212 Lbs6 ft8NoNoAssign ManuallyNoNo12025-07-27FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Nick Abruzzese (sur la masse salariale)Cleveland Monsters (CBJ)C/LW261999-04-06USAYes178 Lbs5 ft10NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ole Julian Bjorgvik HolmCleveland Monsters (CBJ)D232002-05-23NORYes195 Lbs6 ft2NoNoAssign ManuallyNoNo12024-04-22FalseFalsePro & Farm896,667$0$0$No---------------------------Lien
Peyton JonesCleveland Monsters (CBJ)G291996-02-14USANo208 Lbs6 ft4NoNoAssign ManuallyNoNo22024-12-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Riley SutterCleveland Monsters (CBJ)RW251999-10-25ABNo205 Lbs6 ft3NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Sheldon RempalCleveland Monsters (CBJ)RW301995-08-07ABNo168 Lbs5 ft10NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Tim SchallerCleveland Monsters (CBJ)C/LW341990-11-16USANo208 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Tyler WotherspoonCleveland Monsters (CBJ)D321993-03-12BCNo205 Lbs6 ft1NoNoAssign ManuallyNoNo22025-08-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Xavier BernardCleveland Monsters (CBJ)D252000-01-06QUEYes212 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Xavier BouchardCleveland Monsters (CBJ)D252000-02-28QUEYes202 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Yanni KaldisCleveland Monsters (CBJ)D291995-09-30QUENo189 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-03FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Yegor Surin (sur la masse salariale)Cleveland Monsters (CBJ)C/LW192006-08-01RUSYes200 Lbs6 ft4NoNoAssign ManuallyNoNo22025-01-10FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Zach UensCleveland Monsters (CBJ)D242001-05-13ONTYes188 Lbs6 ft1NoNoAssign ManuallyNoNo12024-04-22FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.14199 Lbs6 ft21.50855,441$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joona LuotoAlexander TrueSheldon Rempal30005
2Yegor SurinBrad MaloneJudd Caulfield30005
3Kyle CliffordTim SchallerAlexander Pashin25005
4Jasper WeatherbyAlexander TrueJoona Luoto15005
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ole Julian Bjorgvik HolmTyler Wotherspoon30104
2Jordan GrossChase Priskie30104
3Josh HealeyMac Hollowell25104
4Tyler WotherspoonOle Julian Bjorgvik Holm15104
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yegor SurinJasper WeatherbySheldon Rempal60122
2Kyle CliffordTim SchallerJudd Caulfield40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mac HollowellTyler Wotherspoon60122
2Jordan GrossChase Priskie40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jasper WeatherbyYegor Surin60140
2Alexander TrueKyle Clifford40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mac HollowellTyler Wotherspoon60140
2Jordan GrossChase Priskie40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jasper Weatherby60140Mac HollowellTyler Wotherspoon60140
2Alexander True40140Jordan GrossChase Priskie40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jasper WeatherbyYegor Surin60122
2Matt RempeKyle Clifford40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mac HollowellTyler Wotherspoon60122
2Jordan GrossChase Priskie40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yegor SurinAlexander PashinSheldon RempalOle Julian Bjorgvik HolmTyler Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yegor SurinJasper WeatherbySheldon RempalMac HollowellTyler Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Clifford, Alexander True, Joona LuotoJoona Luoto, Matt RempeJoona Luoto
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chase Priskie, Josh Healey, Ole Julian Bjorgvik HolmChase PriskieJosh Healey, Ole Julian Bjorgvik Holm
Tirs de pénalité
Alexander Pashin, Yegor Surin, Kyle Clifford, Sheldon Rempal, Joona Luoto
Gardien
#1 : Joseph Woll, #2 : Hunter Jones, #3 : 0
Lignes d’attaque personnalisées en prolongation
Jasper Weatherby, Yegor Surin, Kyle Clifford, Sheldon Rempal, Matt Rempe, Alexander True, Alexander True, Alexander Pashin, Ole Julian Bjorgvik Holm, Brad Malone, Judd Caulfield
Lignes de défense personnalisées en prolongation
Mac Hollowell, Tyler Wotherspoon, Jordan Gross, Chase Priskie, 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
1Abbotsford Canucks20200000812-41010000057-21010000035-200.0008152310897874106674085184161802528572150.00%14471.43%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
2Bakersfield Condors211000004401010000023-11100000021120.500461000897874106674085184161691910588112.50%5180.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
3Belleville Senators310001011213-11100000043120000101810-240.6671222340089787410977408518416112030348311327.27%17476.47%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
4Bridgeport Islanders642000002317621100000761431000001611580.667234265008978741019274085184161183566015011218.18%30776.67%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
5Calgary Wranglers3120000068-2110000002022020000048-420.33361117118978741099740851841611233332831516.67%16287.50%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
6Charlotte Checkers21100000710-3110000005411010000026-420.500712190089787410617408518416178131657200.00%80100.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
7Chicago Wolves2110000069-3110000005411010000015-420.5006121800897874106674085184161892124563266.67%12375.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
8Coachella Valley Firebirds21000100642110000004131000010023-130.7506101600897874104774085184161712322365120.00%110100.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
9Colorado Eagles2020000037-41010000035-21010000002-200.0003690089787410577408518416168231251500.00%60100.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
10Grand Rapids Griffins42000200141133200010011741000010034-160.7501426400089787410130740851841611243940961800.00%20670.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
11Hartford Wolf Pack430010001257220000007342100100052381.00012203200897874101127408518416111540368412216.67%180100.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
12Henderson Silver Knights20200000613-71010000036-31010000037-400.0006111700897874105974085184161642428563133.33%14842.86%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
13Hershey Bears311000101091110000005322010001056-140.667101727008978741088740851841611163937688112.50%13192.31%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
14Iowa Wild31200000811-32110000078-11010000013-220.33381523008978741073740851841611273726737457.14%13376.92%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
15Laval Rocket3100011013112210000108531000010056-150.83313213400897874101097408518416111327326415426.67%16475.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
16Lehigh Valley Phantoms43100000191452110000088022000000116560.7501931500089787410123740851841611744646979222.22%23291.30%11363255553.35%1734323853.55%716133053.83%1768116221426401064501
17Manitoba Moose2010000148-41000000134-11010000014-310.2504711008978741063740851841616820164011327.27%8187.50%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
18Milwaukee Admirals2020000007-71010000005-51010000002-200.0000000089787410457408518416184342443400.00%12283.33%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
19Ontario Reign31100100911-2210001008801010000013-230.50091625008978741095740851841611053237897114.29%14378.57%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
20Providence Bruins21100000871110000005321010000034-120.5008162400897874106174085184161642224478112.50%12466.67%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
21Rochester Americans211000005501010000025-31100000030320.500581301897874105474085184161752124398112.50%120100.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
22Rockford IceHogs210001009721000010045-11100000052330.7509162500897874106174085184161661214536116.67%7185.71%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
23San Diego Gulls201010007701010000023-11000100054120.500713200089787410537408518416179301856500.00%9366.67%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
24San Jose Barracuda30300000812-41010000045-12020000047-300.00081321108978741084740851841611183134656233.33%17570.59%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
25Springfield Thunderbirds2110000058-31010000017-61100000041320.500571200897874107774085184161752328599111.11%14285.71%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
26Syracuse Crunch2010100078-11010000046-21000100032120.5007101710897874108974085184161802424609222.22%12375.00%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
27Texas Stars30200001613-72010000136-31010000037-410.167610160089787410767408518416113433448810110.00%22481.82%11363255553.35%1734323853.55%716133053.83%1768116221426401064501
28Toronto Marlies2020000058-31010000034-11010000024-200.0005101500897874104874085184161802028465120.00%14378.57%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
29Tucson Roadrunners2020000049-51010000023-11010000026-400.000461000897874105374085184161621718617114.29%9366.67%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
30Utica Comets40200011913-42010001046-22010000157-230.375911200089787410123740851841611495158117500.00%29679.31%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
31Wilkes-Barre/Scranton Penguins20200000410-61010000027-51010000023-100.00047110089787410437408518416183202657600.00%13192.31%01363255553.35%1734323853.55%716133053.83%1768116221426401064501
Total82263903734247291-4441161800322133150-1741102103412114141-27750.4572474276744289787410247074085184161303688590020892404016.67%4408680.45%21363255553.35%1734323853.55%716133053.83%1768116221426401064501
_Since Last GM Reset82263903734247291-4441161800322133150-1741102103412114141-27750.4572474276744289787410247074085184161303688590020892404016.67%4408680.45%21363255553.35%1734323853.55%716133053.83%1768116221426401064501
_Vs Conference44142003223142156-142089001116874-624611031127482-8430.4891422423842089787410133574085184161158048249611301182117.80%2385178.57%11363255553.35%1734323853.55%716133053.83%1768116221426401064501
_Vs Division20105010117173-211430001042375962010012936-7250.62571125196118978741064974085184161734196222492761215.79%1112478.38%01363255553.35%1734323853.55%716133053.83%1768116221426401064501

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8275OTL124742767424703036885900208942
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8226393734247291
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116180322133150
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4110213412114141
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2404016.67%4408680.45%2
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
7408518416189787410
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
1363255553.35%1734323853.55%716133053.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1768116221426401064501


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2025-09-1219Texas Stars2Cleveland Monsters0LSommaire du match
4 - 2025-09-1435Grand Rapids Griffins2Cleveland Monsters3WSommaire du match
6 - 2025-09-1651Cleveland Monsters3Hartford Wolf Pack1WSommaire du match
7 - 2025-09-1767Lehigh Valley Phantoms2Cleveland Monsters3WSommaire du match
11 - 2025-09-2193Cleveland Monsters3Utica Comets4LXXSommaire du match
13 - 2025-09-23100Ontario Reign3Cleveland Monsters4WSommaire du match
15 - 2025-09-25125Cleveland Monsters3Bridgeport Islanders2WSommaire du match
17 - 2025-09-27135Hartford Wolf Pack2Cleveland Monsters4WSommaire du match
20 - 2025-09-30155Cleveland Monsters6Bridgeport Islanders3WSommaire du match
21 - 2025-10-01166Iowa Wild6Cleveland Monsters2LSommaire du match
24 - 2025-10-04185Cleveland Monsters4Hershey Bears3WXXSommaire du match
25 - 2025-10-05197Utica Comets4Cleveland Monsters1LSommaire du match
27 - 2025-10-07211Cleveland Monsters2Bridgeport Islanders4LSommaire du match
29 - 2025-10-09226Cleveland Monsters5Belleville Senators6LXSommaire du match
30 - 2025-10-10239Cleveland Monsters1San Jose Barracuda3LSommaire du match
32 - 2025-10-12251Grand Rapids Griffins1Cleveland Monsters5WSommaire du match
35 - 2025-10-15270Milwaukee Admirals5Cleveland Monsters0LSommaire du match
37 - 2025-10-17292Coachella Valley Firebirds1Cleveland Monsters4WSommaire du match
39 - 2025-10-19310Cleveland Monsters1Ontario Reign3LSommaire du match
41 - 2025-10-21327Charlotte Checkers4Cleveland Monsters5WSommaire du match
43 - 2025-10-23345Cleveland Monsters3Abbotsford Canucks5LSommaire du match
45 - 2025-10-25359Tucson Roadrunners3Cleveland Monsters2LSommaire du match
47 - 2025-10-27374Cleveland Monsters2Charlotte Checkers6LSommaire du match
49 - 2025-10-29389Manitoba Moose4Cleveland Monsters3LXXSommaire du match
51 - 2025-10-31409Cleveland Monsters2Coachella Valley Firebirds3LXSommaire du match
52 - 2025-11-01422Utica Comets2Cleveland Monsters3WXXSommaire du match
54 - 2025-11-03440Rockford IceHogs5Cleveland Monsters4LXSommaire du match
56 - 2025-11-05454Cleveland Monsters1Manitoba Moose4LSommaire du match
58 - 2025-11-07467Cleveland Monsters5Rockford IceHogs2WSommaire du match
59 - 2025-11-08484Cleveland Monsters3Texas Stars7LSommaire du match
61 - 2025-11-10496Lehigh Valley Phantoms6Cleveland Monsters5LSommaire du match
63 - 2025-11-12516Springfield Thunderbirds7Cleveland Monsters1LSommaire du match
66 - 2025-11-15539Cleveland Monsters3Grand Rapids Griffins4LXSommaire du match
67 - 2025-11-16550Providence Bruins3Cleveland Monsters5WSommaire du match
69 - 2025-11-18570Cleveland Monsters3San Jose Barracuda4LSommaire du match
70 - 2025-11-19580Texas Stars4Cleveland Monsters3LXXSommaire du match
72 - 2025-11-21596Cleveland Monsters2Utica Comets3LSommaire du match
74 - 2025-11-23610Hartford Wolf Pack1Cleveland Monsters3WSommaire du match
77 - 2025-11-26632Cleveland Monsters3Syracuse Crunch2WXSommaire du match
79 - 2025-11-28647San Diego Gulls3Cleveland Monsters2LSommaire du match
80 - 2025-11-29665Cleveland Monsters3Rochester Americans0WSommaire du match
82 - 2025-12-01674Calgary Wranglers0Cleveland Monsters2WSommaire du match
83 - 2025-12-02691Cleveland Monsters2Bakersfield Condors1WSommaire du match
86 - 2025-12-05710Cleveland Monsters1Hershey Bears3LSommaire du match
87 - 2025-12-06718Bridgeport Islanders5Cleveland Monsters4LSommaire du match
89 - 2025-12-08737Cleveland Monsters3Henderson Silver Knights7LSommaire du match
91 - 2025-12-10749Bridgeport Islanders1Cleveland Monsters3WSommaire du match
93 - 2025-12-12769Cleveland Monsters2Toronto Marlies4LSommaire du match
95 - 2025-12-14783Grand Rapids Griffins4Cleveland Monsters3LXSommaire du match
99 - 2025-12-18807Hershey Bears3Cleveland Monsters5WSommaire du match
101 - 2025-12-20833Cleveland Monsters1Chicago Wolves5LSommaire du match
102 - 2025-12-21839Bakersfield Condors3Cleveland Monsters2LSommaire du match
103 - 2025-12-22852Cleveland Monsters4Springfield Thunderbirds1WSommaire du match
106 - 2025-12-25868Belleville Senators3Cleveland Monsters4WSommaire du match
109 - 2025-12-28897Ontario Reign5Cleveland Monsters4LXSommaire du match
111 - 2025-12-30914Cleveland Monsters2Calgary Wranglers5LSommaire du match
112 - 2025-12-31929San Jose Barracuda5Cleveland Monsters4LSommaire du match
114 - 2026-01-02939Cleveland Monsters5San Diego Gulls4WXSommaire du match
117 - 2026-01-05963Laval Rocket3Cleveland Monsters4WXXSommaire du match
119 - 2026-01-07978Cleveland Monsters0Milwaukee Admirals2LSommaire du match
121 - 2026-01-09993Henderson Silver Knights6Cleveland Monsters3LSommaire du match
123 - 2026-01-111009Cleveland Monsters3Belleville Senators4LXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
125 - 2026-01-131021Cleveland Monsters2Calgary Wranglers3LSommaire du match
126 - 2026-01-141035Abbotsford Canucks7Cleveland Monsters5LSommaire du match
127 - 2026-01-151044Cleveland Monsters2Hartford Wolf Pack1WXSommaire du match
130 - 2026-01-181064Toronto Marlies4Cleveland Monsters3LSommaire du match
132 - 2026-01-201079Cleveland Monsters5Bridgeport Islanders2WSommaire du match
133 - 2026-01-211097Iowa Wild2Cleveland Monsters5WSommaire du match
136 - 2026-01-241121Cleveland Monsters2Wilkes-Barre/Scranton Penguins3LSommaire du match
137 - 2026-01-251130Laval Rocket2Cleveland Monsters4WSommaire du match
140 - 2026-01-281148Cleveland Monsters5Lehigh Valley Phantoms3WSommaire du match
141 - 2026-01-291156Cleveland Monsters1Iowa Wild3LSommaire du match
142 - 2026-01-301166Syracuse Crunch6Cleveland Monsters4LSommaire du match
145 - 2026-02-021189Chicago Wolves4Cleveland Monsters5WSommaire du match
146 - 2026-02-031208Cleveland Monsters0Colorado Eagles2LSommaire du match
149 - 2026-02-061224Colorado Eagles5Cleveland Monsters3LSommaire du match
151 - 2026-02-081241Cleveland Monsters2Tucson Roadrunners6LSommaire du match
154 - 2026-02-111258Rochester Americans5Cleveland Monsters2LSommaire du match
155 - 2026-02-121263Cleveland Monsters3Providence Bruins4LSommaire du match
157 - 2026-02-141285Cleveland Monsters6Lehigh Valley Phantoms3WSommaire du match
158 - 2026-02-151290Wilkes-Barre/Scranton Penguins7Cleveland Monsters2LSommaire du match
159 - 2026-02-161295Cleveland Monsters5Laval Rocket6LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance77,60937,857
Assistance PCT94.65%92.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2816 - 93.87% 40,852$1,674,925$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
23,369,928$ 23,052,334$ 23,052,334$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 23,369,928$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 142,298$ 426,894$




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