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CLEVELAND Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jonathan Brisebois | Morale : 50 | Moyenne d’équipe : 61

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJonathan Brisebois
EntraîneurJay Woodcroft
DivisionNord
ConférenceEST
Capitaine
Assistant #1Tanner Kero
Assistant #2Cale Fleury


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 80
Espoirs30


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique0-0-0


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
1Eric StaalX100.0061436965667377695965646565928005166X04111,100,000$
2Elmer Soderblom (R)X100.00694080659278676847656364655750050650241878,333$
3Emil Heineman (R)X100.00744180727674696841646564685550050650241897,500$
4Nikita Nesterenko (R)XX100.00664173727776646746626362675650050640243866,250$
5Tanner Kero (A)XX100.0059427169627271645163576364665708663X0331852,500$
6Brett SeneyX100.0052466368527069644765585563595405060X0291852,500$
7Aidan DudasX100.0053436871536564634260565363515008659X0252935,000$
8Josiah SlavinX100.0058427063646866614356555460545005058X0271775,000$
9Dalibor Dvorský (R)X100.00604167626358576242616055625050050580202918,333$
10Nolan Allan (R)X100.00684177717576676640636070665250050660221825,000$
11Matt BenningX100.0061447168707671624058557062806105065X03131,375,000$
12Cale Fleury (A)X100.0066417267696764644062576863655105064X0272890,000$
13Owen Pickering (R)X100.00584074697775626440616166655150050640211918,333$
14William Trudeau (R)X100.00654763676563626440605667635050050620231856,667$
15Max Szuber (R)X100.00634465676564626440635767635050050620231859,167$
16Michael KarowX100.0063476365666866624056536760545005061X0271852,500$
17Adam Ginning (R)X100.0063496064686665634059536560535005061X0252935,000$
18Luke Prokop (R)X100.00674069607361585640525264565150050590231750,000$
Rayé
1Jeffrey Truchon-VielX100.0059657258748789575356565558656308661X02800$
2Jacob Melanson (R)X100.00634662626663616042545456595050050570221826,111$
3Trevor Kuntar (R)X100.00605357626465636147555454595250050570243935,000$
4Jacob PerreaultX100.0056456462656362594256535158515005056X0232950,000$
5Jake BischoffX100.0053427065627170644061546161635905061X03100$
6Alex GreenX100.0058466765656462594052536059545002058X0271852,500$
MOYENNE D’ÉQUIPE100.0061456966686966634360576262585305361
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
1Rasmus Korhonen (R)100.006568668864636564636564606302261X0233935,000$
2Will Cranley100.005957576359575654575954515005053X0232926,000$
Rayé
MOYENNE D’ÉQUIPE100.006263627662606159606259565703657
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Woodcroft8077797574671CAN4811,000,000$


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
Adam GinningCLEVELAND Monsters (CLB)D252000-01-13SWEYes205 Lbs6 ft4NoYesN/ANoNo22025-10-18FalseFalsePro & Farm935,000$935,000$0$0$No935,000$--------935,000$--------No--------
Aidan DudasCLEVELAND Monsters (CLB)LW252000-06-15CANNo161 Lbs5 ft8NoYesN/ANoNo22025-10-18FalseFalsePro & Farm935,000$935,000$0$0$No935,000$--------935,000$--------No--------Lien NHL
Alex GreenCLEVELAND Monsters (CLB)D271998-06-18USANo197 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm852,500$852,500$0$0$No---------------------------Lien NHL
Brett SeneyCLEVELAND Monsters (CLB)LW291996-02-29CANNo157 Lbs5 ft9NoYesN/ANoNo1FalseFalsePro & Farm852,500$852,500$0$0$No---------------------------Lien NHL
Cale FleuryCLEVELAND Monsters (CLB)D271998-11-19CANNo214 Lbs6 ft1NoYesN/ANoNo22025-10-18FalseFalsePro & Farm890,000$890,000$0$0$No890,000$--------890,000$--------No--------Lien NHL
Dalibor DvorskýCLEVELAND Monsters (CLB)RW202005-06-15SLVYes201 Lbs6 ft1NoNoProspectNoNo22025-07-15FalseFalsePro & Farm918,333$918,333$0$0$No918,333$--------918,333$--------No--------
Elmer SoderblomCLEVELAND Monsters (CLB)LW242001-07-05SWEYes246 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm878,333$878,333$0$0$No---------------------------
Emil HeinemanCLEVELAND Monsters (CLB)LW242001-11-16SWEYes198 Lbs6 ft2NoNoProspectNoNo1FalseFalsePro & Farm897,500$897,500$0$0$No---------------------------
Eric StaalCLEVELAND Monsters (CLB)C411984-10-29CANNo195 Lbs6 ft4NoYesFree AgentNoNo12024-01-21FalseFalsePro & Farm1,100,000$1,100,000$0$0$No---------------------------
Jacob MelansonCLEVELAND Monsters (CLB)RW222003-04-22CANYes205 Lbs6 ft1NoNoProspectNoNo12024-08-20FalseFalsePro & Farm826,111$826,111$0$0$No---------------------------
Jacob PerreaultCLEVELAND Monsters (CLB)RW232002-04-15CANNo196 Lbs6 ft0NoYesN/ANoNo2FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Lien NHL
Jake BischoffCLEVELAND Monsters (CLB)D311994-07-25USANo187 Lbs6 ft1NoYesN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Jeffrey Truchon-VielCLEVELAND Monsters (CLB)LW281997-01-28CANNo197 Lbs6 ft0NoYesN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Josiah SlavinCLEVELAND Monsters (CLB)LW271998-12-31USANo190 Lbs6 ft3NoYesN/ANoNo12025-10-18FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien NHL
Luke ProkopCLEVELAND Monsters (CLB)D232002-05-06CANYes220 Lbs6 ft6NoNoProspectNoNo12025-08-22FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------
Matt BenningCLEVELAND Monsters (CLB)D311994-05-25CANNo203 Lbs6 ft1NoYesN/ANoNo3FalseFalsePro & Farm1,375,000$1,375,000$0$0$No1,375,000$1,375,000$-------1,375,000$1,375,000$-------NoNo-------Lien NHL
Max SzuberCLEVELAND Monsters (CLB)D232002-08-25GERYes190 Lbs6 ft3NoNoProspectNoNo12024-08-20FalseFalsePro & Farm859,167$859,167$0$0$No---------------------------
Michael KarowCLEVELAND Monsters (CLB)D271998-12-18USANo201 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm852,500$852,500$0$0$No---------------------------Lien NHL
Nikita NesterenkoCLEVELAND Monsters (CLB)C/LW242001-09-10USAYes195 Lbs6 ft2NoNoN/ANoNo32025-10-18FalseFalsePro & Farm866,250$866,250$0$0$No866,250$866,250$-------866,250$866,250$-------NoNo-------
Nolan AllanCLEVELAND Monsters (CLB)D222003-04-28CANYes195 Lbs6 ft2NoNoProspectNoNo12024-08-20FalseFalsePro & Farm825,000$825,000$0$0$No---------------------------
Owen PickeringCLEVELAND Monsters (CLB)D212004-01-27CANYes200 Lbs6 ft5NoNoProspectNoNo1FalseFalsePro & Farm918,333$918,333$0$0$No---------------------------
Rasmus KorhonenCLEVELAND Monsters (CLB)G232002-10-22FINYes194 Lbs6 ft5NoYesN/ANoNo32025-10-18FalseFalsePro & Farm935,000$935,000$0$0$No935,000$935,000$-------935,000$935,000$-------NoNo-------Lien NHL
Tanner KeroCLEVELAND Monsters (CLB)C/LW331992-07-24USANo185 Lbs6 ft0NoYesFree AgentNoNo12024-01-21FalseFalsePro & Farm852,500$852,500$0$0$No---------------------------Lien NHL
Trevor KuntarCLEVELAND Monsters (CLB)C242001-06-20USAYes196 Lbs6 ft0NoNoProspectNoNo32025-10-18FalseFalsePro & Farm935,000$935,000$0$0$No935,000$935,000$-------935,000$935,000$-------NoNo-------
Will CranleyCLEVELAND Monsters (CLB)G232002-02-26CANNo183 Lbs6 ft4NoYesN/ANoNo2FalseFalsePro & Farm926,000$926,000$0$0$No926,000$--------926,000$--------No--------
William TrudeauCLEVELAND Monsters (CLB)D232002-10-11CANYes205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm856,667$856,667$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.77197 Lbs6 ft21.46836,988$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil Heineman40023
2Elmer Soderblom30032
3Tanner KeroBrett Seney20041
410131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140032
2William Trudeau30041
3Max SzuberMichael Karow20041
410023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett SeneyElmer Soderblom60005
240005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160014
2Max Szuber40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Elmer Soderblom60041
240041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Trudeau60041
2Max Szuber40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Seney6005060050
2Emil Heineman40050Max Szuber40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil Heineman60023
2Elmer SoderblomTanner Kero40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160032
2William Trudeau40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil HeinemanElmer Soderblom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil HeinemanElmer Soderblom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Seney, , Brett Seney, Brett Seney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Max Szuber, Michael Karow, William TrudeauMax SzuberMichael Karow, William Trudeau
Tirs de pénalité
Elmer Soderblom, , , , Tanner Kero
Gardien
#1 : , #2 : Will Cranley


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
Capacité20001000
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$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,176,169$ 2,176,169$ 1,000,000$0$
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

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