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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: Robert Söder | Morale : 50 | Moyenne d’équipe : 57

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRobert Söder
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure13
Limite Contrat27 / 50
Espoirs34


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique47-26-11 (0.560%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1 - 4 (0.200%)
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
1Michael Misa (R)0X100.00663794756867757482797265494440050650181775,000$
2Reid Schaefer0X100.00907093648161766545646763594444050610221886,667$
3Luca Pinelli (R)0X100.00645283625350886275636055544343050560201775,000$
4Gracyn Sawchyn (R)0XX100.00573191615350726355635858544343050550201775,000$
5Jake Christiansen0X100.00753994637056736025585376365246050610261975,000$
6Guillaume Richard (R)0X100.00583393565850895525515274484545050570221775,000$
7Luca Marrelli (R)0X100.00623491615950705925575364504242050550191775,000$
Rayé
1Mikael Pyyhtia0X100.006033916457508465456364565846460505802300$
2James Malatesta0X100.007060775755508357755559565244440505402200$
3Hunter McKown0XX100.006454875858508658555857535145450505402300$
4Jordan Dumais0X100.005934955755507758455757535144440505302100$
5Max McCue0X100.007261795660506758755752554945450505302200$
6Corson Ceulemans0X100.006956875862508656255454654945450505702200$
MOYENNE D’ÉQUIPE100.0067468961615379615060586151454405057
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
1Nolan LaLonde (R)0100.0054454078584855605457504844050540211775,000$
Rayé
MOYENNE D’ÉQUIPE100.005445407858485560545750484405054
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
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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Corson CeulemansCleveland Monsters (CBJ)D222003-05-05CANNo198 Lbs6 ft2NoNoAssign ManuallyNoNo02024-07-04FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Gracyn SawchynCleveland Monsters (CBJ)LW/RW202005-01-19CANYes148 Lbs5 ft10NoNoProspectNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Guillaume RichardCleveland Monsters (CBJ)D222003-02-10CANYes161 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Hunter McKownCleveland Monsters (CBJ)LW/RW232002-08-18USANo171 Lbs6 ft0NoNoAssign ManuallyNoNo02025-07-07FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Jake ChristiansenCleveland Monsters (CBJ)D261999-09-12CANNo193 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-07FalseFalsePro & Farm975,000$975,000$0$0$No---------------------------Lien / Lien NHL
James MalatestaCleveland Monsters (CBJ)C222003-05-31CANNo172 Lbs5 ft9NoNoAssign ManuallyNoNo02024-07-04FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Jordan DumaisCleveland Monsters (CBJ)RW212004-04-15CANNo174 Lbs5 ft9NoNoDraftNoNo02025-06-13FalseFalsePro & Farm0$0$No---------------------------Lien
Luca MarrelliCleveland Monsters (CBJ)D192005-10-04CANYes176 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Luca PinelliCleveland Monsters (CBJ)C202005-04-05CANYes160 Lbs5 ft9NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Max McCueCleveland Monsters (CBJ)C222003-03-10CANNo182 Lbs6 ft1NoNoDraftNoNo02025-06-13FalseFalsePro & Farm0$0$No---------------------------Lien
Michael MisaCleveland Monsters (CBJ)C182007-02-16CANYes185 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Mikael PyyhtiaCleveland Monsters (CBJ)LW232001-12-17FINNo166 Lbs6 ft0NoNoAssign ManuallyNoNo02025-08-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Nolan LaLondeCleveland Monsters (CBJ)G212004-02-14CANYes195 Lbs6 ft2NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Reid SchaeferCleveland Monsters (CBJ)LW222003-09-21CANNo226 Lbs6 ft5NoNoTrade2024-08-08NoNo12024-07-07FalseFalsePro & Farm886,667$886,667$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1421.50179 Lbs6 ft00.57465,119$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
2Reid Schaefer30122
320122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen35122
230122
320122
4Jake Christiansen15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Reid Schaefer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jake Christiansen60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake Christiansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake Christiansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , Reid Schaefer, , , ,
Lignes de défense personnalisées en prolongation
Jake Christiansen, , , ,


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
TotalDomicile 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 RI
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 jourCapacité de l’arénaPopularité de l’équipe
3 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 651,167$ 651,167$ 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
1James Malatesta825356109-91416115537714.06%54195223.811319323520244538.19%01.1227
2Dylan Gambrell82345488-11169014420416.67%42156719.121218302500008450.15%01.1216
3David Jiricek82165268-1431352132446.56%156223827.3011819231017200%00.6112
4Dominik Shine82264268-107416211719013.68%49165520.18513182100035142.75%10.8217
5Michael Mersch8230346414613111421314.08%27150718.3957122010156345.61%10.8503

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
1Jet Greaves82472680.8953.1348274325223961311840.64734
2Michael Houser50010.8435.95131001383541000

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
202482392606425291274174120120411313912613411914023121521484103291469760434212611516232950193887154248387644318201936131.61%2096369.86%4737144750.93%725158445.77%573118848.23%157076217128301681830
Total Saison régulière82392606425291274174120120411313912613411914023121521484103291469760434212611516232950193887154248387644318201936131.61%2096369.86%4737144750.93%725158445.77%573118848.23%157076217128301681830
Séries éliminatoires
2024514000001021-1130300000516-11211000005502101929000730136205759016250281329111.11%14471.43%1429046.67%378444.05%356752.24%9445107479750
Total Séries éliminatoires514000001021-1130300000516-11211000005502101929000730136205759016250281329111.11%14471.43%1429046.67%378444.05%356752.24%9445107479750

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
1Dominik Shine514502168147.14%29919.99000001100044.44%01.0000
2Leon Gawanke5145-4285128.33%812324.7301110110000%00.8100
3Dylan Gambrell522410661020.00%69418.81000010110047.27%00.8500
4James Malatesta5213-1097238.70%211823.72000200000130.77%00.5100
5Colin Theisen5123-22138119.09%27515.170000000000100.00%00.7900

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
1Jet Greaves51400.8774.172590018146850000
2Michael Houser20000.8134.50400031690000