Please rotate your device to landscape mode for a better experience.
Connexion

Cleveland Monsters
GP: 12 | W: 8 | L: 4 | OTL: 0 | P: 16
GF: 46 | GA: 47 | PP%: 21.88% | PK%: 69.23%
DG: Jean-Christophe Rancourt | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #220 vs Hamilton Hammers

Centre de jeu
Cleveland Monsters
8-4-0, 16pts
4
7 Toronto Marlies
4-8-1, 9pts
Team Stats
W1SéquenceW2
5-2-0Fiche domicile3-2-1
3-2-0Fiche domicile1-6-0
7-3-0Derniers 10 matchs3-6-1
3.83Buts par match 2.46
3.92Buts contre par match 3.31
21.88%Pourcentage en avantage numérique7.69%
69.23%Pourcentage en désavantage numérique70.97%
Laval Rocket
7-6-1, 15pts
4
5 Cleveland Monsters
8-4-0, 16pts
Team Stats
L2SéquenceW1
3-2-1Fiche domicile5-2-0
4-4-0Fiche domicile3-2-0
5-4-1Derniers 10 matchs7-3-0
3.50Buts par match 3.83
3.43Buts contre par match 3.92
17.50%Pourcentage en avantage numérique21.88%
76.92%Pourcentage en désavantage numérique69.23%
Cleveland Monsters
8-4-0, 16pts
Jour 20
Hamilton Hammers
9-5-0, 18pts
Statistiques d’équipe
W1SéquenceW1
5-2-0Fiche domicile3-3-0
3-2-0Fiche visiteur6-2-0
7-3-010 derniers matchs6-4-0
3.83Buts par match 3.14
3.92Buts contre par match 3.14
21.88%Pourcentage en avantage numérique13.04%
69.23%Pourcentage en désavantage numérique75.61%
Hershey Bears
5-8-0, 10pts
Jour 21
Cleveland Monsters
8-4-0, 16pts
Statistiques d’équipe
L1SéquenceW1
4-2-0Fiche domicile5-2-0
1-6-0Fiche visiteur3-2-0
4-6-010 derniers matchs7-3-0
3.54Buts par match 3.83
3.69Buts contre par match 3.83
31.03%Pourcentage en avantage numérique21.88%
68.57%Pourcentage en désavantage numérique69.23%
Cleveland Monsters
8-4-0, 16pts
Jour 22
Utica Comets
9-4-1, 19pts
Statistiques d’équipe
W1SéquenceL1
5-2-0Fiche domicile5-2-0
3-2-0Fiche visiteur4-2-1
7-3-010 derniers matchs5-4-1
3.83Buts par match 3.57
3.92Buts contre par match 3.57
21.88%Pourcentage en avantage numérique29.73%
69.23%Pourcentage en désavantage numérique79.49%
Meneurs d'équipe
Brendan GaunceButs
Brendan Gaunce
6
Zach Aston-ReesePasses
Zach Aston-Reese
11
Brendan GauncePoints
Brendan Gaunce
15
Guillaume RichardPlus/Moins
Guillaume Richard
2
Zach SawchenkoVictoires
Zach Sawchenko
8
Nolan LalondePourcentage d’arrêts
Nolan Lalonde
0.889

Statistiques d’équipe
Buts pour
46
3.83 GFG
Tirs pour
340
28.33 Avg
Pourcentage en avantage numérique
21.9%
7 GF
Début de zone offensive
38.7%
Buts contre
47
3.92 GAA
Tirs contre
344
28.67 Avg
Pourcentage en désavantage numérique
69.2%%
8 GA
Début de la zone défensive
38.9%
Informations de l'équipe

Directeur généralJean-Christophe Rancourt
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 250
Espoirs27


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
1Danton HeinenX100.0070398872788183675768626765777146406803111,000,000$
2Brendan GaunceX100.007537866385786661846257835973754940670322875,000$
3Zach Aston-ReeseX100.008139886678808261556258716075732740660322875,000$
4Hudson FaschingX100.00653795678678676453555658607173464063N0311750,000$
5Mikael PyyhtiaX100.006034866470796963655358736164655740630242875,000$
6Hunter McKownX100.006939845978818356655958575663654340610241850,000$
7Jordan DumaisX100.006035946264716361656059576461636540610221860,000$
8Owen SillingerX100.006533546067826062575050755668693640610281850,000$
9James MalatestaX100.007634836568776063695050555762635740600231850,000$
10Justin PearsonX100.00653887587473855753565559546769374060N0281750,000$
11Jack Williams (R)X100.005836945969838757625856615564664340600242875,000$
12Marek Vanacker (R)X100.005535646060646260535660525658606040580203941,667$
13Jake ChristiansenX100.006738956474798065306652594967693740640261975,000$
14Caleb MacDonald (R)X100.008245675791638256305553594564664340630231922,500$
15Luca Marrelli (R)X100.006538906174737158306256574861636440620203931,944$
16Corson CeulemansX100.007140845880717456305553574562648140610231850,000$
17Guillaume Richard (R)X100.006539915973688655305758564863656140610231942,500$
18Will ButcherX100.00593694586866715630595355467173464060N0311750,000$
Rayé
1Roman AhcanX100.00633878586378825756555954576668424059N0271750,000$
2Max McCueX100.006549505574656853605453565262644940580231858,333$
3Tate SingletonX100.00584359566576635562545153576769374057N0281750,000$
4Ryland MosleyX100.00613793557067645350515254556668424057N0261750,000$
5Egor ZamulaX100.0060379567838678663071566451666742406602600$
6Stanislav SvozilX100.00623982577168825630605355466264674060N0231750,000$
7Dysin MayoX100.00503495587270605630575055456970464059N0301750,000$
MOYENNE D’ÉQUIPE100.00653883617374735949585560546667494061
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
1Zach Sawchenko100.00727772747170727170727168813640650281850,000$
2Nolan Lalonde100.00587065765758595957595858605040580221860,556$
Rayé
1Evan Gardner100.00607067726058606058606059598040580203963,889$
MOYENNE D’ÉQUIPE100.0063726874636264636264636267554060
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
1Brendan GaunceCleveland Monsters (MEM)C126915020265048143512.50%1026722.321125290002271057.71%35000001.1211000311
2Zach Aston-ReeseCleveland Monsters (MEM)LW1241115040202638142910.53%522018.35235524000090058.33%1200001.3600000001
3Danton HeinenCleveland Monsters (MEM)LW12481208014314317279.30%226622.200115290003240140.74%2700010.9011000110
4Jordan DumaisCleveland Monsters (MEM)RW1266120003273262118.75%021017.56022224000001160.00%1500001.1400000000
5Hunter McKownCleveland Monsters (MEM)C122911100930239178.70%222718.920335240000141052.63%26600000.9700000010
6Hudson FaschingCleveland Monsters (MEM)RW1236900051817101317.65%223819.86112228000012046.15%1300000.7600000022
7Mikael PyyhtiaCleveland Monsters (MEM)LW12369-2202172862210.71%315012.5200001000160135.71%1400001.2000000001
8Luca MarrelliCleveland Monsters (MEM)D12167-380151192611.11%1124620.52123323000015000%000000.5700000101
9Guillaume RichardCleveland Monsters (MEM)D123362401914104530.00%1520216.900000400008000%000000.5900000000
10Corson CeulemansCleveland Monsters (MEM)D12325-22030761250.00%1025421.19202323000021200%000000.3900000100
11Jake ChristiansenCleveland Monsters (MEM)D12055020498460%1127823.22000130000024000%000000.3600000010
12Owen SillingerCleveland Monsters (MEM)C12235-34012222211169.09%214211.8900000000000044.14%14500000.7000000000
13James MalatestaCleveland Monsters (MEM)LW12224-240207137715.38%015112.6300001000050142.86%700000.5300000011
14Caleb MacDonaldCleveland Monsters (MEM)D12224-112044781225.00%826522.14011226000017000%000000.3000000100
15Jack WilliamsCleveland Monsters (MEM)C12044100412117100%0857.1400000000000052.94%10200000.9300000000
16Will ButcherCleveland Monsters (MEM)D121231009883412.50%1019416.170000100001000%000000.3100000000
17Justin PearsonCleveland Monsters (MEM)LW122020005564933.33%0867.210000100000000%300000.4600000000
18Marek VanackerCleveland Monsters (MEM)LW1210110098103810.00%0857.0900000000000125.00%800000.2400000000
Statistiques d’équipe totales ou en moyenne2164584129-752025030934012323913.24%91357316.55714213327600061797552.29%96200010.7222000777
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
1Zach SawchenkoCleveland Monsters (MEM)128400.8604.0463800433080000.6673120001
2Nolan LalondeCleveland Monsters (MEM)30000.8892.73880043600000012000
Statistiques d’équipe totales ou en moyenne158400.8633.88726004734400031212001


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 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
Brendan GaunceCleveland Monsters (MEM)C321994-03-25CANNo222 Lbs6 ft2NoNoAssign ManuallyNoNo22026-07-01FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Caleb MacDonaldCleveland Monsters (MEM)D232002-11-29CANYes225 Lbs6 ft4NoNoDraftNoNo12026-05-26FalseFalsePro & Farm922,500$0$0$No---------------------------Lien / Lien NHL
Corson CeulemansCleveland Monsters (MEM)D232003-05-05CANNo198 Lbs6 ft2NoNoAssign ManuallyNoNo12026-06-20FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Danton HeinenCleveland Monsters (MEM)LW311995-07-05CANNo187 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-23FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Dysin MayoCleveland Monsters (MEM)D301996-08-17CANNo190 Lbs6 ft0YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Egor ZamulaCleveland Monsters (MEM)D262000-03-30RUSNo200 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Evan GardnerCleveland Monsters (MEM)G202006-01-25CANNo175 Lbs6 ft0NoNoProspectNoNo32026-08-01FalseFalsePro & Farm963,889$0$0$No963,889$963,889$-------963,889$963,889$-------NoNo-------Lien / Lien NHL
Guillaume RichardCleveland Monsters (MEM)D232003-02-10CANYes170 Lbs6 ft2NoNoDraftNoNo12026-05-26FalseFalsePro & Farm942,500$0$0$No---------------------------Lien / Lien NHL
Hudson FaschingCleveland Monsters (MEM)RW311995-07-28USANo209 Lbs6 ft3YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Hunter McKownCleveland Monsters (MEM)C242002-08-18USANo205 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-21FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Jack WilliamsCleveland Monsters (MEM)C242002-03-02USAYes185 Lbs5 ft11NoNoDraftNoNo22026-06-29FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Jake ChristiansenCleveland Monsters (MEM)D261999-09-12CANNo199 Lbs6 ft0NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm975,000$0$0$No---------------------------Lien / Lien NHL
James MalatestaCleveland Monsters (MEM)LW232003-05-31CANNo193 Lbs5 ft9NoNoAssign ManuallyNoNo12026-06-13FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Jordan DumaisCleveland Monsters (MEM)RW222004-04-15CANNo173 Lbs5 ft8NoNoAssign ManuallyNoNo12026-04-16FalseFalsePro & Farm860,000$0$0$No---------------------------Lien / Lien NHL
Justin PearsonCleveland Monsters (MEM)LW281998-05-17USANo185 Lbs6 ft1YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Luca MarrelliCleveland Monsters (MEM)D202005-10-04CANYes181 Lbs6 ft1NoNoDraftNoNo32026-05-26FalseFalsePro & Farm931,944$0$0$No931,944$931,944$-------931,944$931,944$-------NoNo-------Lien / Lien NHL
Marek VanackerCleveland Monsters (MEM)LW202006-04-12CANYes174 Lbs6 ft1NoNoProspectNoNo32026-08-03FalseFalsePro & Farm941,667$0$0$No941,667$941,667$-------941,667$941,667$-------NoNo-------Lien / Lien NHL
Max McCueCleveland Monsters (MEM)C232003-02-10CANNo182 Lbs6 ft1NoNoAssign ManuallyNoNo12026-04-16FalseFalsePro & Farm858,333$0$0$No---------------------------Lien / Lien NHL
Mikael PyyhtiaCleveland Monsters (MEM)LW242001-12-17FINNo178 Lbs6 ft0NoNoAssign ManuallyNoNo22026-06-25FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Nolan LalondeCleveland Monsters (MEM)G222004-02-02CANNo190 Lbs6 ft1NoNoProspectNoNo12026-08-01FalseFalsePro & Farm860,556$0$0$No---------------------------Lien / Lien NHL
Owen SillingerCleveland Monsters (MEM)C281997-09-23CANNo182 Lbs5 ft10NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Roman AhcanCleveland Monsters (MEM)LW271999-03-24USANo170 Lbs5 ft9YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Ryland MosleyCleveland Monsters (MEM)LW262000-02-15CANNo190 Lbs5 ft11YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Stanislav SvozilCleveland Monsters (MEM)D232003-01-17CZENo183 Lbs6 ft0YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Tate SingletonCleveland Monsters (MEM)RW281998-09-05USANo176 Lbs5 ft9YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Will ButcherCleveland Monsters (MEM)D311995-01-06USANo190 Lbs5 ft10YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Zach Aston-ReeseCleveland Monsters (MEM)LW321994-08-10USANo203 Lbs6 ft1NoNoAssign ManuallyNoNo22026-07-01FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Zach SawchenkoCleveland Monsters (MEM)G281997-12-30CANNo185 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-04FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.64189 Lbs6 ft01.32821,657$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenBrendan GaunceHudson Fasching40122
2Zach Aston-ReeseHunter McKownJordan Dumais30122
3Mikael PyyhtiaOwen SillingerJames Malatesta20122
4Justin PearsonJack WilliamsMarek Vanacker10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenCaleb MacDonald40122
2Luca MarrelliCorson Ceulemans30122
3Guillaume RichardWill Butcher20122
4Jake ChristiansenCaleb MacDonald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenBrendan GaunceHudson Fasching60122
2Zach Aston-ReeseHunter McKownJordan Dumais40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenCaleb MacDonald60122
2Luca MarrelliCorson Ceulemans40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brendan GaunceDanton Heinen60122
2Hunter McKownZach Aston-Reese40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenCaleb MacDonald60122
2Luca MarrelliCorson Ceulemans40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brendan Gaunce60122Jake ChristiansenCaleb MacDonald60122
2Hunter McKown40122Luca MarrelliCorson Ceulemans40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brendan GaunceDanton Heinen60122
2Hunter McKownZach Aston-Reese40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenCaleb MacDonald60122
2Luca MarrelliCorson Ceulemans40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danton HeinenBrendan GaunceHudson FaschingJake ChristiansenCaleb MacDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach Aston-ReeseHunter McKownJordan DumaisLuca MarrelliCorson Ceulemans
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikael Pyyhtia, Jordan Dumais, Hunter McKownMikael Pyyhtia, Jordan DumaisMikael Pyyhtia
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Corson Ceulemans, Guillaume Richard, Will ButcherCorson CeulemansCorson Ceulemans, Guillaume Richard
Tirs de pénalité
Danton Heinen, Brendan Gaunce, Zach Aston-Reese, Hudson Fasching, Mikael Pyyhtia
Gardien
#1 : Zach Sawchenko, #2 : Nolan Lalonde


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 Senators312000001014-41010000025-32110000089-120.333102030001616123871161051165901814576116.67%7357.14%019636953.12%19737153.10%11021351.64%2801962879115877
2Iowa Wild10000010541100000105410000000000021.000571200161612338116105116530610223133.33%5260.00%019636953.12%19737153.10%11021351.64%2801962879115877
3Laval Rocket21001000972110000005411000100043141.0009162500161612361116105116570148375120.00%4175.00%019636953.12%19737153.10%11021351.64%2801962879115877
4Rochester Americans11000000633110000006330000000000021.00061117001616123301161051165308622100.00%30100.00%019636953.12%19737153.10%11021351.64%2801962879115877
5Syracuse Crunch2110000047-31010000026-41100000021120.500471100161612348116105116547172477114.29%10100.00%019636953.12%19737153.10%11021351.64%2801962879115877
6Toronto Marlies2110000089-1110000004221010000047-320.50081523001616123421161051165552010425120.00%5180.00%019636953.12%19737153.10%11021351.64%2801962879115877
7Utica Comets11000000431110000004310000000000021.00048120016161233411610511652282235240.00%110.00%019636953.12%19737153.10%11021351.64%2801962879115877
Total1264010104647-17420001028271522010001820-2160.66746841300016161233401161051165344915225032721.88%26869.23%019636953.12%19737153.10%11021351.64%2801962879115877
_Since Last GM Reset1264010104647-17420001028271522010001820-2160.66746841300016161233401161051165344915225032721.88%26869.23%019636953.12%19737153.10%11021351.64%2801962879115877
_Vs Conference1164010004143-26420000023230522010001820-2140.63641771180016161233021161051165314854222829620.69%21671.43%019636953.12%19737153.10%11021351.64%2801962879115877
_Vs Division36401000141222420000010551220100047-3142.333142640001616123721161051165852816646116.67%8187.50%019636953.12%19737153.10%11021351.64%2801962879115877

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1216W14684130340344915225000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126410104647
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74200102827
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52210001820
Derniers 10 matchs
WLOTWOTL SOWSOL
531010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
32721.88%26869.23%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
11610511651616123
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
19636953.12%19737153.10%11021351.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2801962879115877


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
15Cleveland Monsters3Belleville Senators6LSommaire du match
327Rochester Americans3Cleveland Monsters6WSommaire du match
443Iowa Wild4Cleveland Monsters5WXXSommaire du match
667Utica Comets3Cleveland Monsters4WSommaire du match
781Cleveland Monsters4Laval Rocket3WXSommaire du match
9101Belleville Senators5Cleveland Monsters2LSommaire du match
11128Cleveland Monsters5Belleville Senators3WSommaire du match
12133Syracuse Crunch6Cleveland Monsters2LSommaire du match
14156Cleveland Monsters2Syracuse Crunch1WSommaire du match
15162Toronto Marlies2Cleveland Monsters4WSommaire du match
17186Cleveland Monsters4Toronto Marlies7LSommaire du match
18198Laval Rocket4Cleveland Monsters5WSommaire du match
20220Cleveland Monsters-Hamilton Hammers-
21226Hershey Bears-Cleveland Monsters-
22232Cleveland Monsters-Utica Comets-
23240Cleveland Monsters-Rochester Americans-
24260Cleveland Monsters-Rochester Americans-
28288Rochester Americans-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 jourCapacitéPopularité de l’équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,300,638$ 2,300,638$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 10 0$ 0$




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