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Cleveland Monsters
GP: 4 | W: 2 | L: 1 | OTL: 1 | P: 5
GF: 18 | GA: 12 | PP%: 25.00% | PK%: 75.00%
DG: Jean-Christophe Rancourt | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #60 vs Laval Rocket

Centre de jeu
Cleveland Monsters
2-1-1, 5pts
3
6 Rochester Americans
2-1-0, 4pts
Team Stats
W1SéquenceW2
0-0-1Fiche domicile1-1-0
2-1-0Fiche domicile1-0-0
2-1-1Derniers 10 matchs2-1-0
4.50Buts par match 4.33
3.00Buts contre par match 3.33
25.00%Pourcentage en avantage numérique22.22%
75.00%Pourcentage en désavantage numérique75.00%
Cleveland Monsters
2-1-1, 5pts
7
1 Utica Comets
2-1-0, 4pts
Team Stats
W1SéquenceL1
0-0-1Fiche domicile1-1-0
2-1-0Fiche domicile1-0-0
2-1-1Derniers 10 matchs2-1-0
4.50Buts par match 2.33
3.00Buts contre par match 3.67
25.00%Pourcentage en avantage numérique0.00%
75.00%Pourcentage en désavantage numérique85.71%
Laval Rocket
0-3-1, 1pts
Jour 9
Cleveland Monsters
2-1-1, 5pts
Statistiques d’équipe
L2SéquenceW1
0-2-0Fiche domicile0-0-1
0-1-1Fiche visiteur2-1-0
0-3-110 derniers matchs2-1-1
2.25Buts par match 4.50
3.50Buts contre par match 4.50
23.08%Pourcentage en avantage numérique25.00%
71.43%Pourcentage en désavantage numérique75.00%
Laval Rocket
0-3-1, 1pts
Jour 11
Cleveland Monsters
2-1-1, 5pts
Statistiques d’équipe
L2SéquenceW1
0-2-0Fiche domicile0-0-1
0-1-1Fiche visiteur2-1-0
0-3-110 derniers matchs2-1-1
2.25Buts par match 4.50
3.50Buts contre par match 4.50
23.08%Pourcentage en avantage numérique25.00%
71.43%Pourcentage en désavantage numérique75.00%
Cleveland Monsters
2-1-1, 5pts
Jour 13
Laval Rocket
0-3-1, 1pts
Statistiques d’équipe
W1SéquenceL2
0-0-1Fiche domicile0-2-0
2-1-0Fiche visiteur0-1-1
2-1-110 derniers matchs0-3-1
4.50Buts par match 2.25
3.00Buts contre par match 2.25
25.00%Pourcentage en avantage numérique23.08%
75.00%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
Zach Aston-ReeseButs
Zach Aston-Reese
5
Jordan DumaisPasses
Jordan Dumais
5
Zach Aston-ReesePoints
Zach Aston-Reese
8
Zach Aston-ReesePlus/Moins
Zach Aston-Reese
5
Zach SawchenkoVictoires
Zach Sawchenko
2
Zach SawchenkoPourcentage d’arrêts
Zach Sawchenko
0.924

Statistiques d’équipe
Buts pour
18
4.50 GFG
Tirs pour
119
29.75 Avg
Pourcentage en avantage numérique
25.0%
2 GF
Début de zone offensive
37.0%
Buts contre
12
3.00 GAA
Tirs contre
144
36.00 Avg
Pourcentage en désavantage numérique
75.0%%
3 GA
Début de la zone défensive
44.4%
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 Mineure24
Limite contact 52 / 250
Espoirs23


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$
2Zach Aston-ReeseX100.008139886678808261556258716075732740660322875,000$
3Hudson FaschingX100.00653795678678676453555658607173464063N0311750,000$
4Mikael PyyhtiaX100.006034866470796963655358736164655740630242875,000$
5Hunter McKownX100.006939845978818356655958575663654340610241850,000$
6Jordan DumaisX100.006035946264716361656059576461636540610221860,000$
7Owen SillingerX100.006533546067826062575050755668693640610291850,000$
8James MalatestaX100.007634836568776063695050555762635740600231850,000$
9Justin PearsonX100.00653887587473855753565559546769374060N0281750,000$
10Jack Williams (R)X100.005836945969838757625856615564664340600242875,000$
11Roman AhcanX100.00633878586378825756555954576668424059N0271750,000$
12Marek Vanacker (R)X100.005535646060646260535660525658606040580203941,667$
13Caleb MacDonald (R)X100.008245675791638256305553594564664340630231922,500$
14Corson CeulemansX100.007140845880717456305553574562648140610231850,000$
15Guillaume Richard (R)X100.006539915973688655305758564863656140610231942,500$
16Stanislav SvozilX100.00623982577168825630605355466264674060N0231750,000$
17Will ButcherX100.00593694586866715630595355467173464060N0311750,000$
18Boston Buckberger (R)X100.0054366258646462553058505846626435405802321,050,000$
Rayé
1Max McCueX100.006549505574656853605453565262644940580231858,333$
2Joshua Eernisse (R)X100.005638625862646256645652585264653540580241952,500$
3Oiva Keskinen (R)X100.005038626056646258566254525463642540580222960,000$
4Tate SingletonX100.00584359566576635562545153576769374057N0281750,000$
5Ryland MosleyX100.00613793557067645350515254556668424057N0261750,000$
6Egor ZamulaX100.0060379567838678663071566451666742406602600$
7Dysin MayoX100.00503495587270605630575055456970464059N0301750,000$
MOYENNE D’ÉQUIPE100.00633880607173725850575559546567474061
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
1Zach Aston-ReeseCleveland Monsters (MEM)LW45385401410144835.71%07518.8501115000031062.50%800012.1201000110
2Jordan DumaisCleveland Monsters (MEM)RW42575005692422.22%08120.3100015000091048.48%3300001.7200000101
3Hunter McKownCleveland Monsters (MEM)C41454406792411.11%28120.4600025000040047.31%9300001.2201000010
4Danton HeinenCleveland Monsters (MEM)LW42242001413164612.50%38721.99011260001120062.50%800000.9101000000
5Mikael PyyhtiaCleveland Monsters (MEM)LW41340002812168.33%05814.5701123000020066.67%1200001.3700000000
6Caleb MacDonaldCleveland Monsters (MEM)D40335001182020%39423.520002600009000%000000.6400000001
7Boston BuckbergerCleveland Monsters (MEM)D4123340101102100.00%26115.300000000000000%000000.9800000000
8Justin PearsonCleveland Monsters (MEM)LW40222001107130%17218.1500000000000040.26%7700000.5500000000
9Owen SillingerCleveland Monsters (MEM)C4022100559240%16315.9101113000020045.45%7700000.6300000000
10Stanislav SvozilCleveland Monsters (MEM)D1022220311000%31515.280000000000000%000002.6200000000
11Guillaume RichardCleveland Monsters (MEM)D41122406042225.00%47017.590000300004000%000000.5700000000
12Jack WilliamsCleveland Monsters (MEM)C4022100352250%1287.1900000000000048.48%3300001.3900000000
13Marek VanackerCleveland Monsters (MEM)LW411212033113100.00%0246.24000000000000100.00%300001.6000000000
14Corson CeulemansCleveland Monsters (MEM)D410102011362316.67%48621.721012600019000%000000.2300000000
15Hudson FaschingCleveland Monsters (MEM)RW41012205211359.09%07117.8700016000000028.57%700000.2800000000
16Jake ChristiansenMemphis TitansD31013001541225.00%57324.541012300006000%000000.2700000000
17James MalatestaCleveland Monsters (MEM)LW41010007462316.67%05614.0400000000020057.14%700000.3600000000
18Roman AhcanCleveland Monsters (MEM)LW4011100100000%061.670000000000000%000002.9900000000
19Luca MarrelliMemphis TitansD4011120255230%98320.870003500008000%000000.2400000000
Statistiques d’équipe totales ou en moyenne721834524026011096119316515.13%38119316.5824619640002752047.21%35800010.8703000222
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)42110.9242.6924500111440000.667340000
Statistiques d’équipe totales ou en moyenne42110.9242.692450011144000340000


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
Boston BuckbergerCleveland Monsters (MEM)D232003-06-20CANYes190 Lbs6 ft0NoNoDraftNoNo22026-09-19FalseFalsePro & Farm1,050,000$0$0$No1,050,000$--------1,050,000$--------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
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
Joshua EernisseCleveland Monsters (MEM)C242001-12-31USAYes216 Lbs6 ft3NoNoDraftNoNo12026-09-19FalseFalsePro & Farm952,500$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
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
Oiva KeskinenCleveland Monsters (MEM)C222004-02-28FINYes180 Lbs6 ft0NoNoDraftNoNo22026-09-19FalseFalsePro & Farm960,000$0$0$No960,000$--------960,000$--------No--------Lien / Lien NHL
Owen SillingerCleveland Monsters (MEM)C291997-09-23CANNo182 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
2825.36189 Lbs6 ft01.29828,105$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenHunter McKownHudson Fasching40122
2Zach Aston-ReeseOwen SillingerJordan Dumais30122
3Mikael PyyhtiaJack WilliamsJames Malatesta20122
4Roman AhcanJustin PearsonMarek Vanacker10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb MacDonald43122
2Corson CeulemansGuillaume Richard33122
3Stanislav SvozilBoston Buckberger24122
4Caleb MacDonald0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenHunter McKownHudson Fasching60122
2Zach Aston-ReeseOwen SillingerJordan Dumais40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb MacDonald60122
2Corson CeulemansGuillaume Richard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hunter McKownDanton Heinen60122
2Owen SillingerZach Aston-Reese40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb MacDonald60122
2Corson CeulemansGuillaume Richard40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Hunter McKown60122Caleb MacDonald60122
2Owen Sillinger40122Corson CeulemansGuillaume Richard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hunter McKownDanton Heinen60122
2Owen SillingerZach Aston-Reese40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb MacDonald60122
2Corson CeulemansGuillaume Richard40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danton HeinenHunter McKownHudson FaschingCaleb MacDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach Aston-ReeseOwen SillingerJordan DumaisCorson CeulemansGuillaume Richard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Dumais, Hunter McKown, Owen SillingerJordan Dumais, Hunter McKownJordan Dumais
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Guillaume Richard, Stanislav Svozil, Boston BuckbergerGuillaume RichardGuillaume Richard, Stanislav Svozil
Tirs de pénalité
Danton Heinen, Zach Aston-Reese, Hudson Fasching, Mikael Pyyhtia, Jordan Dumais
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
1Henderson Silver Knights11000000624000000000001100000062421.000611170076503137413953611421100.00%2150.00%06412949.61%7815550.32%276541.54%905899315527
2Rochester Americans1010000036-3000000000001010000036-300.000358007650263741395429629000%3166.67%06412949.61%7815550.32%276541.54%905899315527
3Toronto Marlies1000000123-11000000123-10000000000010.5002460076503437413953198253133.33%4175.00%06412949.61%7815550.32%276541.54%905899315527
4Utica Comets11000000716000000000001100000071621.000714210076502837413953598354125.00%30100.00%06412949.61%7815550.32%276541.54%905899315527
Total42100001181261000000123-132100000169750.625183452007650119374139514438261108225.00%12375.00%06412949.61%7815550.32%276541.54%905899315527
_Since Last GM Reset42100001181261000000123-132100000169750.625183452007650119374139514438261108225.00%12375.00%06412949.61%7815550.32%276541.54%905899315527
_Vs Conference31100001121021000000123-121100000107330.5001223350076508837413951082722897228.57%10280.00%06412949.61%7815550.32%276541.54%905899315527
_Vs Division2110000159-41000000123-11110000036-330.7505914007650603741395731814543133.33%7271.43%06412949.61%7815550.32%276541.54%905899315527

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
45W1183452119144382611000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
42100011812
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100000123
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3210000169
Derniers 10 matchs
WLOTWOTL SOWSOL
210001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8225.00%12375.00%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
37413957650
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
6412949.61%7815550.32%276541.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
905899315527


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
17Toronto Marlies3Cleveland Monsters2LXXSommaire du match
214Cleveland Monsters6Henderson Silver Knights2WSommaire du match
533Cleveland Monsters3Rochester Americans6LSommaire du match
749Cleveland Monsters7Utica Comets1WSommaire du match
960Laval Rocket-Cleveland Monsters-
1183Laval Rocket-Cleveland Monsters-
1395Cleveland Monsters-Laval Rocket-
16117Toronto Marlies-Cleveland Monsters-
18136Cleveland Monsters-Syracuse Crunch-
20147Laval Rocket-Cleveland Monsters-
21155Cleveland Monsters-Charlotte Checkers-
24178Laval Rocket-Cleveland Monsters-
27203Cleveland Monsters-Belleville Senators-
29217Laval Rocket-Cleveland Monsters-
31235Bakersfield Condors-Cleveland Monsters-
32243Cleveland Monsters-Colorado Eagles-
34256Cleveland Monsters-Providence Bruins-
36271Cleveland Monsters-Belleville Senators-
38286Texas Stars-Cleveland Monsters-
40300Cleveland Monsters-Hershey Bears-
42316Hamilton Hammers-Cleveland Monsters-
44334Cleveland Monsters-Idaho Timberwolves-
45344Cleveland Monsters-Chicago Wolves-
46352Belleville Senators-Cleveland Monsters-
50379Idaho Timberwolves-Cleveland Monsters-
52396Cleveland Monsters-Orlando Lizards-
53406Cleveland Monsters-Laval Rocket-
55416Utica Comets-Cleveland Monsters-
58442Ontario Reign-Cleveland Monsters-
60450Cleveland Monsters-Colorado Eagles-
62466Cleveland Monsters-Grand Rapids Griffins-
64479Grand Rapids Griffins-Cleveland Monsters-
66495Cleveland Monsters-Coachella Valley Firebirds-
68509Rochester Americans-Cleveland Monsters-
70518Cleveland Monsters-Toronto Marlies-
72535Cleveland Monsters-Ontario Reign-
73542Milwaukee Admirals-Cleveland Monsters-
76564Cleveland Monsters-Providence Bruins-
78576Toronto Marlies-Cleveland Monsters-
80593Cleveland Monsters-Abbotsford Canucks-
82608Rockford IceHogs-Cleveland Monsters-
85630Cleveland Monsters-Rochester Americans-
87640San Jose Barracuda-Cleveland Monsters-
91667Lehigh Valley Phantoms-Cleveland Monsters-
93682Cleveland Monsters-Lehigh Valley Phantoms-
95694Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
96701Iowa Wild-Cleveland Monsters-
99725Cleveland Monsters-Charlotte Checkers-
101736Calgary Wranglers-Cleveland Monsters-
103752Cleveland Monsters-Rockford IceHogs-
106767Coachella Valley Firebirds-Cleveland Monsters-
108787Cleveland Monsters-Rochester Americans-
110799Manitoba Moose-Cleveland Monsters-
113827Abbotsford Canucks-Cleveland Monsters-
114833Cleveland Monsters-Hartford Wolf Pack-
117857Cleveland Monsters-Bakersfield Condors-
118864Springfield Thunderbirds-Cleveland Monsters-
122892Hartford Wolf Pack-Cleveland Monsters-
124904Cleveland Monsters-Iowa Wild-
127925Cleveland Monsters-Manitoba Moose-
128929Henderson Silver Knights-Cleveland Monsters-
131957Wilkes-Barre/Scranton Penguins-Cleveland Monsters-
133965Cleveland Monsters-San Jose Barracuda-
136989Providence Bruins-Cleveland Monsters-
1381008Cleveland Monsters-Milwaukee Admirals-
1401019Charlotte Checkers-Cleveland Monsters-
1421030Cleveland Monsters-Syracuse Crunch-
1441050Syracuse Crunch-Cleveland Monsters-
1461065Cleveland Monsters-Utica Comets-
1481082Laval Rocket-Cleveland Monsters-
1511102Cleveland Monsters-Springfield Thunderbirds-
1521115Orlando Lizards-Cleveland Monsters-
1561140Cleveland Monsters-Calgary Wranglers-
1571151Chicago Wolves-Cleveland Monsters-
1601177Bakersfield Condors-Cleveland Monsters-
1621188Cleveland Monsters-Henderson Silver Knights-
1641208Laval Rocket-Cleveland Monsters-
1651216Cleveland Monsters-Texas Stars-
1681238Hershey Bears-Cleveland Monsters-
1701252Cleveland Monsters-Henderson Silver Knights-
1741272Grand Rapids Griffins-Cleveland Monsters-
1791303Colorado Eagles-Cleveland Monsters-
1821325Coachella Valley Firebirds-Cleveland Monsters-
1831335Cleveland Monsters-Hamilton Hammers-



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
41 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
109,488$ 2,318,694$ 2,318,694$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,466$ 109,488$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 178 12,466$ 2,218,948$




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