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PACIFIC
CENTRAL
METROPOLITAN
ATLANTIC
Connexion
Cleveland Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Emil Vinglöv | Morale : 50 | Moyenne d’équipe : 57
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralEmil Vinglöv
EntraîneurDan Watson
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2Shai Buium


Informations de l’aréna

Capacité7,500
Assistance
Billets de saison750


Informations de la formation

Équipe Pro17
Équipe Mineure18
Limite contact 35 / 50
Espoirs40


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique191-141-39 (0.515%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)28 - 22 (0.560%)
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Reid Schaefer49X100.00907093648161766545646763594444050640221886,667$
2John Leonard43X100.00714093677065786975687060615249050630271850,000$
3Kyle MacLean12X100.00887787657463826474686456425347047630271775,000$
4Joakim Kemell20X100.00795795626262786245696257544444050600221886,666$
5Mikael Pyyhtia82X100.00603391645750846545636456584646047570242875,000$
6Fabian Lysell23X100.00665485625650836445626161564545050570231850,000$
7Konsta Helenius94X100.00643591655850866475676353574141050570202942,500$
8Tristen Nielsen57X100.00685483635650876475596560585048050570261775,000$
9James Malatesta11X100.00706077575550835775555956524444050540231850,000$
10Cole Eiserman34XX100.006236955759505657516053524941410505301931,075,000$
11Andrew Basha47X100.00675781535650685245555154464242050510203932,500$
12Shai Buium (A)8X100.00683893596550725725555071474545050560231925,000$
13Tyson Hinds60X100.00583291575950855525535174474545050550232900,000$
14Guillaume Richard24X100.00583393565850895525515274484545050540231942,500$
15Leon Muggli33X100.00593495565950685325534870454141050530193932,500$
16Tomas Hamara98X100.00653691546050785325494967454444050530221878,334$
Rayé
MOYENNE D’ÉQUIPE100.0068479060625378604859586252454405057
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jacob Fowler32100.0073645280716677767179654644050650212923,333$
Rayé
MOYENNE D’ÉQUIPE100.007364528071667776717965464405065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Watson5366657063621CAN462925,000$


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
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


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 Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrew BashaCleveland Monsters (CLB)LW202005-11-08CANNo74 Kg180 CMNoNoDraftNoNo32026-06-08FalseFalsePro & Farm932,500$932,500$0$0$No932,500$932,500$-------932,500$932,500$-------NoNo-------Lien
Cole EisermanCleveland Monsters (CLB)LW/RW192006-08-29USANo87 Kg180 CMNoNoDraftNoNo32026-06-08FalseFalsePro & Farm1,075,000$1,075,000$0$0$No1,075,000$1,075,000$-------1,075,000$1,075,000$-------NoNo-------Lien
Fabian LysellCleveland Monsters (CLB)RW232003-01-19SWENo78 Kg178 CMNoNoTrade2025-03-09YesNo12026-07-14FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Guillaume RichardCleveland Monsters (CLB)D232003-02-10CANNo73 Kg185 CMNoNoProspectYesNo12026-06-08FalseFalsePro & Farm942,500$942,500$0$0$No---------------------------Lien
Jacob FowlerCleveland Monsters (CLB)G212004-11-24CANNo101 Kg185 CMNoNoProspectNoNo22025-06-26FalseFalsePro & Farm923,333$923,333$0$0$No923,333$--------923,333$--------No--------Lien / Lien NHL
James MalatestaCleveland Monsters (CLB)C232003-05-31CANNo78 Kg175 CMNoNoProspectYesNo12026-07-08FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Joakim KemellCleveland Monsters (CLB)RW222004-04-27FINNo83 Kg180 CMNoNoN/ANoNo12026-05-07FalseFalsePro & Farm886,666$886,666$0$0$No---------------------------Lien / Lien NHL
John Leonard (contrat à 1 volet)Cleveland Monsters (CLB)LW271998-08-07USANo89 Kg180 CMNoNoAssign ManuallyYesNo12026-05-07FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Konsta HeleniusCleveland Monsters (CLB)C202006-05-11FINNo86 Kg180 CMNoNoDraftNoNo22025-06-07FalseFalsePro & Farm942,500$942,500$0$0$No942,500$--------942,500$--------No--------Lien / Lien NHL
Kyle MacLean (contrat à 1 volet)Cleveland Monsters (CLB)LW271999-04-29USANo86 Kg185 CMNoNoN/ANoNo12024-06-25FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien / Lien NHL
Leon MuggliCleveland Monsters (CLB)D192006-07-09SUINo79 Kg185 CMNoNoProspectNoNo32026-06-08FalseFalsePro & Farm932,500$932,500$0$0$No932,500$932,500$-------932,500$932,500$-------NoNo-------Lien
Mikael PyyhtiaCleveland Monsters (CLB)LW242001-12-17FINNo75 Kg183 CMNoNoProspectYesNo22026-06-27FalseFalsePro & Farm875,000$875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Reid SchaeferCleveland Monsters (CLB)LW222003-09-21CANNo103 Kg196 CMNoNoProspectNoNo12024-06-25FalseFalsePro & Farm886,667$886,667$0$0$No---------------------------Lien / Lien NHL
Shai BuiumCleveland Monsters (CLB)D232003-03-26USANo97 Kg191 CMNoNoProspectNoNo12025-06-07FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Tomas HamaraCleveland Monsters (CLB)D222004-03-09CZENo87 Kg183 CMNoNoProspectNoNo12026-06-08FalseFalsePro & Farm878,334$878,334$0$0$No---------------------------Lien
Tristen NielsenCleveland Monsters (CLB)C262000-02-23CANNo82 Kg178 CMNoNoFree AgentNoNo12026-05-07FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien / Lien NHL
Tyson Hinds (contrat à 1 volet)Cleveland Monsters (CLB)D232003-03-02CANNo73 Kg191 CMNoNoAssign ManuallyYesNo22026-07-08FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1722.5984 Kg183 CM1.59894,118$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
145014
2Reid Schaefer45014
3John LeonardTristen NielsenJoakim Kemell5050
4Konsta Helenius5050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
150050
245050
3Shai Buium5050
4Shai Buium0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
175005
2Reid Schaefer25005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John Leonard75005
2Shai Buium25005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John Leonard60050
2Reid Schaefer40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160050
2Shai Buium40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16005060050
240050Shai Buium40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150131
250131
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160050
2Shai Buium40050
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John Leonard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , , John Leonard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, John Leonard, Reid Schaefer, ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , Reid Schaefer, John Leonard, , , Joakim Kemell, Tristen Nielsen,
Lignes de défense personnalisées en prolongation
, , , Shai Buium,


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50002500
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0%0$0$7500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,267,500$ 1,267,500$ 925,000$0$
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$ 0 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
1Chase De Leo216808616678925134767111.92%46427719.812432561632021513855.03%20.7827
2Jacob Christiansen35349109158-3725643538546910.45%409777322.022735622090224840%00.4100
3Michael Sgarbossa14446751212461364605138.97%21275119.10132942114101164256.14%10.8812
4Brendan Gaunce14248661143510523923044110.88%45256218.0491827791231710155.69%00.8913
5Danil Gushchin2163864102-24411792274787.95%20309314.321232446200004431.15%00.66311

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
1Erik Kallgren72491850.9212.3843124317121630120.68816
2Robbie Beydoun69402270.8962.5741020317616960220.65426
3Collin Delia66392040.9122.5037656315717890310.71414
4Adam Scheel77382840.8653.30417781230170226200.76221
5Jack Campbell72194670.9222.6243048118824021282440.71414

Cleveland Monsters Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
2021723323062352251962936161304120103871636171002115122109139122540062523807363132056651684692541768526107313324657716.56%4215886.22%61315241254.52%1148219352.35%622108557.33%177411851665570934476
202272441803322230175553622902111109882136229012111218734103230399629238977596248786082678235218466871516412795720.43%3164187.03%41369242456.48%1310235455.65%624109956.78%167611331732555944464
20237234250434222320221361714021201109713361711022221131058892233836062384646713219874072570449208461473117463036421.12%2983986.91%11231243750.51%1170230750.72%583111752.19%174711771664545951476
202472114607413112197-8536722031125898-4036424043015499-4545112179291411035598181952157869637245180522216921153732.17%902770.00%0569118847.90%711154046.17%41589146.58%150580914516771408718
2025722729063612552478361514022211321221036121504140123125-2822554527070192708119203564768268048174249284313283828622.51%3518276.64%21151234049.19%1059210250.38%574119647.99%175811741635565977494
Total Saison régulière3601491410261516131045101728180777201368451249220180726901398953352584101045181328581011355319329591059534193495355422310229310535847739154432120.79%147624783.27%1356351080152.17%53981049651.43%2818538852.30%846254808148291352162629
Séries éliminatoires
20212214800000675981293000004232101055000002527-22867120187042424172739224242219546341683494241532818.30%1311489.31%243582252.92%42477954.43%16333648.51%541361549184296147
20221711600000604713108200000382216734000002225-3226010216201201819361019917420532618173155363821923.17%661084.85%230862749.12%32063550.39%14428251.06%399267425134226111
2023624000001719-23210000087130300000912-3417304700853119357665317199619614620315.00%43686.05%09920648.06%11121950.68%4910148.51%154103151508441
202551400000915-6312000007702020000028-629182700045013441425101172467941516.67%29679.31%08917251.74%8715556.13%356752.24%12282111376632
Total Séries éliminatoires5028220000015314013282080000095682722814000005872-14561532704230552514461676521524528103156842666710272705118.89%2693686.62%4931182750.96%942178852.68%39178649.75%12178131238407673332

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
1Chase De Leo4514203483362771429.86%1286319.195384000015047.73%00.7900
2Cole Sillinger17618245850734812.50%538122.44310131701110147.78%01.2600
3Kirill Marchenko171310235226289313.98%538422.5965112610113142.31%01.2000
4Kent Johnson1671522523425712.28%334021.2949131401140326.67%01.2900
5Kevin Stenlund2251722-121528549.26%136816.73310132000011055.81%01.2000

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
1Robbie Beydoun2214710.9092.501342045661301000
2Erik Kallgren138410.9222.76761003545101000
3Collin Delia115400.9112.90621213033800000
4Adam Scheel51400.8762.98282201411300000
5Dylan St. Cyr10010.9641.11540012800000