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Cleveland Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Alexandre Fyfe | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #7 vs Abbotsford Canucks
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Cleveland Monsters
0-0-0, 0pts
2022-09-21
Abbotsford Canucks
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Cleveland Monsters
0-0-0, 0pts
2022-09-23
Abbotsford Canucks
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Abbotsford Canucks
0-0-0, 0pts
2022-09-25
Cleveland Monsters
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAlexandre Fyfe
EntraîneurColumbus
DivisionCENTRAL
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 250
Espoirs19


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
SP
Âge
Contrat
Salaire
1Nathan GerbeX100.00403540403580904020404040304839115000352750,000$
2Brandon PirriXXX100.00403540403580904020404040303934115000322775,000$
3Tye McGinnX100.00403540403580904020404040302929115000322750,000$
4Paul CareyX100.00403540403580904020404040303029115000342750,000$
5Joakim NordstromXX100.004035404035809040204040403053421150003011,100,000$
6Danick Martel (R)X100.00584264566789815760585954566870365000274950,000$
7Phillip Di GiuseppeX100.00823984657391726656675963657071615000282700,000$
8Cole Sillinger (R)X100.00663978698185956882677064736165874100192925,000$
9Vasily Podkolzin (R)X100.00643582727581837056646758716164864300212925,000$
10Mirco MuellerX100.00403540403580904020404040303532115000271925,000$
11Andrew CampbellX100.004035404035809040204040403040401150003411,499,999$
12Brandon DavidsonX100.00824370598281655630555268467173384400312750,000$
13Zach TrotmanX100.00403540403580904020404040303029115000322750,000$
14Luke WitkowskiX100.00633487588271785730565559487274335000342750,000$
15Andreas Englund (R)X100.00724661578163855630555358456668725000263700,000$
16Dennis Cholowski (R)X100.00643892698082736730715961526466804700241832,500$
17Calen AddisonX100.00633487706784826730686762566264714700221792,500$
Rayé
1Drew StaffordXX100.00403540403580904020404040304040115000362750,000$
2Cody BassX100.004035404035809040204040403040401150003511,499,999$
3Jordan SzwarzX100.00403540403580904020404040302828115000312750,000$
4Emerson EtemX100.004035404035809040204040403040401150003011,499,999$
MOYENNE D’ÉQUIPE100.0052375650538085503150494942504933490
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
SP
Âge
Contrat
Salaire
1Anders Lindback100.00409070404040404040354025251131003411,499,999$
Rayé
MOYENNE D’ÉQUIPE100.004090704040404040403540252511310
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Columbus30303030303011CAN42240,000$


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’équipe
POS
GP
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’équipe
GP
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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Anders LindbackCleveland Monsters (CBJ)G345/3/1988 2:38:17 PMNo205 Lbs6 ft6NoNoNo1Pro & Farm1,499,999$1,499,999$0$0$NoLien
Andreas EnglundCleveland Monsters (CBJ)D261/21/1996Yes189 Lbs6 ft3NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Andrew CampbellCleveland Monsters (CBJ)D347/27/1988 10:13:09 PMNo201 Lbs6 ft5NoNoNo1Pro & Farm1,499,999$1,499,999$0$0$NoLien
Brandon DavidsonCleveland Monsters (CBJ)D318/21/1991No209 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Brandon PirriCleveland Monsters (CBJ)C/LW/RW324/10/1990No180 Lbs6 ft1NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Calen AddisonCleveland Monsters (CBJ)D224/11/2000No173 Lbs5 ft11NoNoNo1Pro & Farm792,500$792,500$0$0$NoLien
Cody BassCleveland Monsters (CBJ)C357/28/1987 4:13:09 PMNo211 Lbs6 ft0NoNoNo1Pro & Farm1,499,999$1,499,999$0$0$NoLien
Cole SillingerCleveland Monsters (CBJ)C195/16/2003Yes203 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Danick MartelCleveland Monsters (CBJ)LW2712/12/1994Yes184 Lbs5 ft9NoNoNo4Pro & Farm950,000$950,000$0$0$No950,000$950,000$950,000$Lien
Dennis CholowskiCleveland Monsters (CBJ)D242/15/1998Yes197 Lbs6 ft2NoNoNo1Pro & Farm832,500$832,500$0$0$NoLien
Drew StaffordCleveland Monsters (CBJ)LW/RW367/28/1986No214 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Emerson EtemCleveland Monsters (CBJ)RW306/16/1992No210 Lbs6 ft1NoNoNo1Pro & Farm1,499,999$1,499,999$0$0$NoLien
Joakim NordstromCleveland Monsters (CBJ)C/LW302/25/1992No194 Lbs6 ft1NoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien
Jordan SzwarzCleveland Monsters (CBJ)RW315/14/1991No192 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Luke WitkowskiCleveland Monsters (CBJ)D349/13/1988No210 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Mirco MuellerCleveland Monsters (CBJ)D273/21/1995No210 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Nathan GerbeCleveland Monsters (CBJ)C357/28/1987No176 Lbs5 ft4NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Paul CareyCleveland Monsters (CBJ)C349/24/1988No196 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Phillip Di GiuseppeCleveland Monsters (CBJ)LW2810/9/1993No193 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Tye McGinnCleveland Monsters (CBJ)LW327/29/1990No218 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Vasily PodkolzinCleveland Monsters (CBJ)RW216/24/2001Yes190 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Zach TrotmanCleveland Monsters (CBJ)D328/26/1990No217 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.73199 Lbs6 ft11.77937,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip Di GiuseppeCole SillingerVasily Podkolzin38122
2Danick Martel30122
3Tye McGinnJoakim Nordstrom22122
4Cole SillingerNathan GerbeVasily Podkolzin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonDennis Cholowski38122
2Brandon DavidsonLuke Witkowski30122
3Andreas EnglundMirco Mueller22122
4Calen AddisonDennis Cholowski10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip Di GiuseppeCole SillingerVasily Podkolzin60122
2Danick Martel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonDennis Cholowski60122
2Brandon DavidsonLuke Witkowski40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerVasily Podkolzin60122
2Phillip Di Giuseppe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonDennis Cholowski60122
2Brandon DavidsonLuke Witkowski40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Sillinger60122Calen AddisonDennis Cholowski60122
2Vasily Podkolzin40122Brandon DavidsonLuke Witkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerVasily Podkolzin60122
2Phillip Di Giuseppe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonDennis Cholowski60122
2Brandon DavidsonLuke Witkowski40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip Di GiuseppeCole SillingerVasily PodkolzinCalen AddisonDennis Cholowski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip Di GiuseppeCole SillingerVasily PodkolzinCalen AddisonDennis Cholowski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Joakim Nordstrom, Nathan Gerbe, Joakim NordstromNathan Gerbe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andreas Englund, Mirco Mueller, Brandon DavidsonAndreas EnglundMirco Mueller, Brandon Davidson
Tirs de pénalité
Cole Sillinger, Vasily Podkolzin, Phillip Di Giuseppe, , Danick Martel
Gardien
#1 : Anders Lindback, #2 :


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
Total
Domicile
Visiteur
#
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
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
000.00%000.00%000.00%
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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
2 - 2022-09-217Cleveland Monsters-Abbotsford Canucks-
4 - 2022-09-2315Cleveland Monsters-Abbotsford Canucks-
6 - 2022-09-2523Abbotsford Canucks-Cleveland Monsters-
8 - 2022-09-2731Abbotsford Canucks-Cleveland Monsters-
10 - 2022-09-2939Cleveland Monsters-Abbotsford Canucks-
12 - 2022-10-0147Abbotsford Canucks-Cleveland Monsters-
14 - 2022-10-0355Cleveland Monsters-Abbotsford Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,062,500$ 1,390,000$ 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$ 14 0$ 0$




Cleveland Monsters Leaders statistiques (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 (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