Connexion

CLEVELAND Monsters
GP: 68 | W: 30 | L: 35 | OTL: 3 | P: 63
GF: 302 | GA: 385 | PP%: 27.72% | PK%: 44.12%
DG: Lukas Tremblay | Morale : 99 | Moyenne d’équipe : 61
Prochains matchs #891 vs SAN DIEGO Gulls
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Centre de jeu
CLEVELAND Monsters
30-35-3, 63pts
8
FINAL
5 CAROLINA Checkers
12-56-2, 26pts
Team Stats
L1SéquenceW1
16-17-1Fiche domicile5-27-2
14-18-2Fiche domicile7-29-0
3-6-1Derniers 10 matchs1-8-1
4.44Buts par match 4.44
5.66Buts contre par match 8.97
27.72%Pourcentage en avantage numérique38.94%
44.12%Pourcentage en désavantage numérique36.34%
PROVIDENCE Bruins
16-51-3, 35pts
10
FINAL
6 CLEVELAND Monsters
30-35-3, 63pts
Team Stats
W2SéquenceL1
9-24-1Fiche domicile16-17-1
7-27-2Fiche domicile14-18-2
3-7-0Derniers 10 matchs3-6-1
4.91Buts par match 4.44
8.73Buts contre par match 5.66
48.56%Pourcentage en avantage numérique27.72%
43.89%Pourcentage en désavantage numérique44.12%
SAN DIEGO Gulls
12-54-2, 26pts
2024-05-09
CLEVELAND Monsters
30-35-3, 63pts
Statistiques d’équipe
L10SéquenceL1
7-26-1Fiche domicile16-17-1
5-28-1Fiche visiteur14-18-2
0-10-010 derniers matchs3-6-1
3.51Buts par match 4.44
8.01Buts contre par match 4.44
26.84%Pourcentage en avantage numérique27.72%
44.64%Pourcentage en désavantage numérique44.12%
CLEVELAND Monsters
30-35-3, 63pts
2024-05-10
UTICA Comets
50-16-4, 104pts
Statistiques d’équipe
L1SéquenceL2
16-17-1Fiche domicile26-7-1
14-18-2Fiche visiteur24-9-3
3-6-110 derniers matchs8-2-0
4.44Buts par match 6.69
5.66Buts contre par match 6.69
27.72%Pourcentage en avantage numérique52.92%
44.12%Pourcentage en désavantage numérique64.29%
COLORADO Eagles
47-18-4, 98pts
2024-05-12
CLEVELAND Monsters
30-35-3, 63pts
Statistiques d’équipe
W2SéquenceL1
23-8-3Fiche domicile16-17-1
24-10-1Fiche visiteur14-18-2
7-2-110 derniers matchs3-6-1
5.62Buts par match 4.44
3.68Buts contre par match 4.44
51.65%Pourcentage en avantage numérique27.72%
63.43%Pourcentage en désavantage numérique44.12%
Meneurs d'équipe
Rourke ChartierButs
Rourke Chartier
39
Jack RathbonePasses
Jack Rathbone
39
Rourke ChartierPoints
Rourke Chartier
73
Connor BunnamanPlus/Moins
Connor Bunnaman
21
Calvin PickardVictoires
Calvin Pickard
24
Calvin PickardPourcentage d’arrêts
Calvin Pickard
0.879

Statistiques d’équipe
Buts pour
302
4.44 GFG
Tirs pour
2212
32.53 Avg
Pourcentage en avantage numérique
27.7%
56 GF
Début de zone offensive
30.7%
Buts contre
385
5.66 GAA
Tirs contre
1973
29.01 Avg
Pourcentage en désavantage numérique
44.1%%
133 GA
Début de la zone défensive
30.8%
Informations de l'équipe

Directeur généralLukas Tremblay
EntraîneurTrent Cull
DivisionGuitard
ConférenceConference B
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure20
Limite contact 37 / 55
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 SPÂgeContratSalaire
1Maxime ComtoisX100.0078876870806780685163666753636368996902311,000,000$
2Otto KoivulaX100.008081777181737661765562675946466599660242800,000$
3Connor BunnamanX100.007675786875768156704661645849496299640242750,000$
4Justin KirklandX100.007773876373676961505661655846466499630266775,000$
5Jonathan Gruden (R)X100.006562716362778260505660595744446199620222750,000$
6Nolan StevensX100.007570886570585762785961645844446399610264750,000$
7Rourke Chartier (R)X100.008173996473585860755066676344446599610262750,000$
8Kyle Olson (R)X100.006664726364555847504444564244445199530232750,000$
9Ben HuttonX100.006743938176696365255250687571716299660294850,000$
10Lucas CarlssonX100.007370807170707263255357655450506399640252800,000$
11Mark FriedmanX100.008875817369655861254848742552536199620261750,000$
12Joe HickettsX100.006663736763778356255542594049495599610262775,000$
13Sean DayX100.008688816688768447254039663744445499610242750,000$
14Jack Rathbone (R)X100.006742937169646466254850682545456099610232750,000$
15Cameron Crotty (R)X100.007570856370748246253739603744445299570232750,000$
16James Greenway (R)X100.007082417582525445453539573744444999530242750,000$
Rayé
MOYENNE D’ÉQUIPE100.00747079687367705845505364494949609962
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
1Calvin Pickard100.00575468785961536160593058585899530303800,000$
Rayé
MOYENNE D’ÉQUIPE100.0057546878596153616059305858589953
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Trent Cull70667265746978CAN503300,000$


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
1Rourke ChartierCLEVELAND Monsters (STL)C68393473192020465932810222611.89%1179611.7100000000003068.03%7077423021.8311130976
2Jonathan GrudenCLEVELAND Monsters (STL)LW682335581563153625234751199.83%1469210.19156226000002060.71%285015011.6701012644
3Jack RathboneCLEVELAND Monsters (STL)D6823941-595253316467591.22%4778111.500000000001000%02356001.0500001228
4Connor BunnamanCLEVELAND Monsters (STL)C37201838211353140140568714.29%746712.631012160001133064.87%4275013011.6301001721
5Sean DayCLEVELAND Monsters (STL)D6823234-2563063519573742.11%5593713.78235627011019000%01064000.7300042033
6Lucas CarlssonCLEVELAND Monsters (STL)D371020309135292012139478.26%3251914.03538818101114100%03024001.1601001223
7Cameron CrottyCLEVELAND Monsters (STL)D6802020-7343041285633310%2276511.260110000000000%0232000.5211123023
8Dominic TurgeonST-LOUIS BluesC14910191020122276236311.84%627419.6000000000002057.60%1252117001.3800000511
9Otto KoivulaCLEVELAND Monsters (STL)LW14710171220121168225010.29%419013.59101270000000100.00%3152001.7900000121
10Kyle OlsonCLEVELAND Monsters (STL)RW1000000300000%099.620000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne4431122183307221211029828912824907568.74%198543512.27101222209711224911065.89%1290275246041.212521010322530
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
1Calvin PickardCLEVELAND Monsters (STL)37241120.8793.372191201231020565200.83363737231
Statistiques d’équipe totales ou en moyenne37241120.8793.3721912012310205652063737231


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 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
Ben HuttonCLEVELAND Monsters (STL)D291993-04-20No94 Kg188 CMNoNoN/ANoNo4FalseFalsePro & Farm850,000$163,761$0$0$No850,000$850,000$850,000$------850,000$850,000$850,000$------NoNoNo------Lien / Lien NHL
Calvin PickardCLEVELAND Monsters (STL)G301992-04-15No95 Kg185 CMNoNoN/ANoNo3FalseFalsePro & Farm800,000$154,128$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Cameron CrottyCLEVELAND Monsters (STL)D231999-05-05Yes83 Kg191 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$144,495$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Connor BunnamanCLEVELAND Monsters (STL)C241998-04-16No94 Kg185 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$144,495$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Jack RathboneCLEVELAND Monsters (STL)D231999-05-20Yes86 Kg180 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$144,495$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
James GreenwayCLEVELAND Monsters (STL)D241998-04-27Yes96 Kg198 CMNoNoTrade2024-03-25NoNo2FalseFalsePro & Farm750,000$144,495$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Joe HickettsCLEVELAND Monsters (STL)D261996-05-04No82 Kg173 CMNoNoN/ANoNo22024-01-29FalseFalsePro & Farm775,000$149,312$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Jonathan GrudenCLEVELAND Monsters (STL)LW222000-05-04Yes77 Kg183 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$144,495$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Justin KirklandCLEVELAND Monsters (STL)LW261996-08-02No88 Kg191 CMNoNoTrade2024-03-25NoNo62024-01-22FalseFalsePro & Farm775,000$149,312$0$0$No775,000$775,000$775,000$775,000$775,000$----775,000$775,000$775,000$775,000$775,000$----NoNoNoNoNo----Lien / Lien NHL
Kyle OlsonCLEVELAND Monsters (STL)RW231999-03-22Yes81 Kg180 CMNoNoTrade2024-03-25NoNo2FalseFalsePro & Farm750,000$144,495$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Lucas CarlssonCLEVELAND Monsters (STL)D251997-07-05No86 Kg183 CMNoNoN/ANoNo2FalseFalsePro & Farm800,000$154,128$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Mark FriedmanCLEVELAND Monsters (STL)D261995-12-25No84 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$144,495$0$0$No---------------------------Lien / Lien NHL
Maxime ComtoisCLEVELAND Monsters (STL)LW231999-08-01No97 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm1,000,000$192,661$0$0$No---------------------------Lien
Nolan StevensCLEVELAND Monsters (STL)LW261996-07-22No83 Kg191 CMNoNoTrade2024-03-25NoNo4FalseFalsePro & Farm750,000$144,495$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------Lien / Lien NHL
Otto KoivulaCLEVELAND Monsters (STL)LW241998-09-01No100 Kg193 CMNoNoN/ANoNo2FalseFalsePro & Farm800,000$154,128$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Rourke ChartierCLEVELAND Monsters (STL)C261996-04-03Yes92 Kg183 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$144,495$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Sean DayCLEVELAND Monsters (STL)D241998-01-09No109 Kg191 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$144,495$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1724.9490 Kg185 CM2.41782,353$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
131122
226122
3Rourke Chartier23122
4Jonathan Gruden20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
131122
2Sean Day26122
3Jack RathboneCameron Crotty23122
420122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
2Jonathan Gruden45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Sean Day45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Sean Day45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
245122Sean Day45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Sean Day45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Rourke Chartier,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Rathbone, Cameron Crotty, Jack RathboneJack Rathbone, Cameron Crotty
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , Rourke Chartier, , Jonathan Gruden,
Lignes de défense personnalisées en prolongation
, , , Sean Day, Jack Rathbone


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
1BAKERSFIELD Condors31100010770100000102112110000056-140.667711180063108130210374467779161163831408112.50%13192.31%1463113240.90%441113638.82%639142244.94%133275314827161271542
2BELLEVILLE Senators211000001315-2110000008621010000059-420.50013243700631081302607446777916643014213133.33%770.00%0463113240.90%441113638.82%639142244.94%133275314827161271542
3BINGHAMTON Devils21100000131211010000038-511000000104620.50013233600631081302697446777916642622286350.00%11736.36%1463113240.90%441113638.82%639142244.94%133275314827161271542
4BRIDGEPORT Sound Tigers32100000171161010000046-222000000135840.6671727440063108130299744677791610638263910220.00%8450.00%0463113240.90%441113638.82%639142244.94%133275314827161271542
5BROOKLYN Wolfpack211000001011-1110000005411010000057-220.5001017270063108130254744677791643174384125.00%220.00%0463113240.90%441113638.82%639142244.94%133275314827161271542
6CAROLINA Checkers220000001495110000006421100000085341.00014264000631081302657446777916541314198337.50%7357.14%0463113240.90%441113638.82%639142244.94%133275314827161271542
7CHICAGO Wolves311001001216-41010000026-4210001001010030.50012203200631081302957446777916842225368337.50%11645.45%0463113240.90%441113638.82%639142244.94%133275314827161271542
8COLORADO Eagles422000001419-51100000052331200000917-840.5001424380063108130212674467779169936474715320.00%16662.50%0463113240.90%441113638.82%639142244.94%133275314827161271542
9GRAND RAPIDS Griffins11000000651000000000001100000065121.00061117006310813023174467779163910610000%3166.67%0463113240.90%441113638.82%639142244.94%133275314827161271542
10HERSEY Bears22000000174131100000010191100000073441.0001730470063108130268744677791636742710330.00%2150.00%0463113240.90%441113638.82%639142244.94%133275314827161271542
11IOWA Wild411002001718-120100100911-22100010087140.5001729460063108130214374467779161415530479333.33%15846.67%1463113240.90%441113638.82%639142244.94%133275314827161271542
12LAVAL Rocket30300000932-2320200000521-1610100000411-700.00091726006310813029374467779161103052317228.57%161225.00%1463113240.90%441113638.82%639142244.94%133275314827161271542
13LEHIGH VALLEY Phantoms20200000717-101010000046-210100000311-800.0007142100631081302617446777916943321179222.22%8537.50%0463113240.90%441113638.82%639142244.94%133275314827161271542
14MANITOBA Moose54100000301713220000001569321000001511480.8003053830063108130216274467779167230128913646.15%6516.67%0463113240.90%441113638.82%639142244.94%133275314827161271542
15MILWAUKEE Admirals422000001721-432100000131211010000049-540.5001731480063108130215174467779161103224657228.57%12466.67%2463113240.90%441113638.82%639142244.94%133275314827161271542
16PROVIDENCE Bruins20200000821-1310100000610-410100000211-900.0008152300631081302487446777916621424281119.09%12741.67%0463113240.90%441113638.82%639142244.94%133275314827161271542
17ROCHESTER Americans20200000414-1010100000311-81010000013-200.00047110063108130251744677791679292429400.00%121016.67%0463113240.90%441113638.82%639142244.94%133275314827161271542
18ROCKFORD IceHogs312000001016-621100000913-41010000013-220.333101727006310813029974467779168315402711436.36%15940.00%0463113240.90%441113638.82%639142244.94%133275314827161271542
19SAN ANTONIO Rampage3300000021111022000000117411000000104661.00021345500631081302101744677791645188476466.67%4250.00%2463113240.90%441113638.82%639142244.94%133275314827161271542
20SAN DIEGO Gulls211000001112-1110000007521010000047-320.500112031006310813026274467779162546396116.67%3166.67%0463113240.90%441113638.82%639142244.94%133275314827161271542
21SCRANTON Penguins20200000621-151010000048-410100000213-1100.0006111700631081302607446777916863831305240.00%8712.50%0463113240.90%441113638.82%639142244.94%133275314827161271542
22STOCKTON Flames31200000414-102110000034-110100000110-920.3334711006310813029374467779166026245800.00%10100.00%0463113240.90%441113638.82%639142244.94%133275314827161271542
23SYRACUSE Crunch21100000141041010000078-11100000072520.500142741006310813027174467779164712183611436.36%9277.78%0463113240.90%441113638.82%639142244.94%133275314827161271542
24TUSCON Roadrunners514000001739-2221100000714-7303000001025-1520.20017314800631081302180744677791620074765514428.57%281932.14%0463113240.90%441113638.82%639142244.94%133275314827161271542
25UTICA Comets20200000413-920200000413-90000000000000.000471100631081302677446777916542833229111.11%9455.56%0463113240.90%441113638.82%639142244.94%133275314827161271542
Total68293500310302385-8334151700110152187-3534141800200150198-48630.463302533835006310813022212744677791619736755949122025627.72%23813344.12%8463113240.90%441113638.82%639142244.94%133275314827161271542
_Since Last GM Reset68293500310302385-8334151700110152187-3534141800200150198-48630.463302533835006310813022212744677791619736755949122025627.72%23813344.12%8463113240.90%441113638.82%639142244.94%133275314827161271542
_Vs Conference41181900310164203-3921118001108794-7207110020077109-32410.500164284448006310813021382744677791610893783345591143228.07%1336551.13%6463113240.90%441113638.82%639142244.94%133275314827161271542
_Vs Division25111200200105130-25127400100585801348001004772-25240.480105185290006310813028617446777916705242229330692231.88%925144.57%3463113240.90%441113638.82%639142244.94%133275314827161271542

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6863L13025338352212197367559491200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6829350310302385
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3415170110152187
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3414180200150198
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2025627.72%23813344.12%8
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
7446777916631081302
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
463113240.90%441113638.82%639142244.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
133275314827161271542


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
1 - 2024-02-119STOCKTON Flames1CLEVELAND Monsters2WSommaire du match
2 - 2024-02-1218CLEVELAND Monsters3BRIDGEPORT Sound Tigers1WSommaire du match
3 - 2024-02-1329CLEVELAND Monsters8MANITOBA Moose3WSommaire du match
5 - 2024-02-1544CLEVELAND Monsters4TUSCON Roadrunners7LSommaire du match
6 - 2024-02-1650IOWA Wild5CLEVELAND Monsters4LXSommaire du match
7 - 2024-02-1770CAROLINA Checkers4CLEVELAND Monsters6WSommaire du match
8 - 2024-02-1873CLEVELAND Monsters3COLORADO Eagles2WSommaire du match
9 - 2024-02-1995CLEVELAND Monsters6CHICAGO Wolves5WSommaire du match
10 - 2024-02-20103MILWAUKEE Admirals2CLEVELAND Monsters4WSommaire du match
12 - 2024-02-22121TUSCON Roadrunners4CLEVELAND Monsters5WSommaire du match
13 - 2024-02-23133CLEVELAND Monsters1ROCKFORD IceHogs3LSommaire du match
15 - 2024-02-25145CLEVELAND Monsters3COLORADO Eagles5LSommaire du match
16 - 2024-02-26155CLEVELAND Monsters10BRIDGEPORT Sound Tigers4WSommaire du match
17 - 2024-02-27162SAN ANTONIO Rampage3CLEVELAND Monsters5WSommaire du match
19 - 2024-02-29180LAVAL Rocket10CLEVELAND Monsters3LSommaire du match
20 - 2024-03-01199MANITOBA Moose2CLEVELAND Monsters9WSommaire du match
21 - 2024-03-02205CLEVELAND Monsters4TUSCON Roadrunners6LSommaire du match
23 - 2024-03-04218CLEVELAND Monsters5MANITOBA Moose1WSommaire du match
24 - 2024-03-05231COLORADO Eagles2CLEVELAND Monsters5WSommaire du match
25 - 2024-03-06250LEHIGH VALLEY Phantoms6CLEVELAND Monsters4LSommaire du match
27 - 2024-03-08266CLEVELAND Monsters4IOWA Wild5LXSommaire du match
28 - 2024-03-09276BROOKLYN Wolfpack4CLEVELAND Monsters5WSommaire du match
30 - 2024-03-11293MILWAUKEE Admirals1CLEVELAND Monsters6WSommaire du match
31 - 2024-03-12297CLEVELAND Monsters10BINGHAMTON Devils4WSommaire du match
32 - 2024-03-13315CLEVELAND Monsters3BAKERSFIELD Condors2WSommaire du match
33 - 2024-03-14323CLEVELAND Monsters7HERSEY Bears3WSommaire du match
34 - 2024-03-15332CLEVELAND Monsters6GRAND RAPIDS Griffins5WSommaire du match
35 - 2024-03-16342UTICA Comets3CLEVELAND Monsters2LSommaire du match
37 - 2024-03-18363BAKERSFIELD Condors1CLEVELAND Monsters2WXXSommaire du match
38 - 2024-03-19374CLEVELAND Monsters2BAKERSFIELD Condors4LSommaire du match
39 - 2024-03-20386ROCKFORD IceHogs2CLEVELAND Monsters6WSommaire du match
40 - 2024-03-21405TUSCON Roadrunners10CLEVELAND Monsters2LSommaire du match
42 - 2024-03-23421CLEVELAND Monsters4IOWA Wild2WSommaire du match
43 - 2024-03-24432STOCKTON Flames3CLEVELAND Monsters1LSommaire du match
44 - 2024-03-25443CLEVELAND Monsters7SYRACUSE Crunch2WR3Sommaire du match
45 - 2024-03-26457CLEVELAND Monsters1ROCHESTER Americans3LSommaire du match
46 - 2024-03-27467HERSEY Bears1CLEVELAND Monsters10WSommaire du match
48 - 2024-03-29484SYRACUSE Crunch8CLEVELAND Monsters7LR3Sommaire du match
49 - 2024-03-30489CLEVELAND Monsters1STOCKTON Flames10LSommaire du match
50 - 2024-03-31510ROCKFORD IceHogs11CLEVELAND Monsters3LSommaire du match
51 - 2024-04-01516CLEVELAND Monsters10SAN ANTONIO Rampage4WSommaire du match
52 - 2024-04-02532CLEVELAND Monsters4SAN DIEGO Gulls7LSommaire du match
54 - 2024-04-04541ROCHESTER Americans11CLEVELAND Monsters3LSommaire du match
55 - 2024-04-05553CLEVELAND Monsters2SCRANTON Penguins13LSommaire du match
56 - 2024-04-06567CLEVELAND Monsters3COLORADO Eagles10LSommaire du match
57 - 2024-04-07572IOWA Wild6CLEVELAND Monsters5LSommaire du match
59 - 2024-04-09594SAN ANTONIO Rampage4CLEVELAND Monsters6WSommaire du match
61 - 2024-04-11613CLEVELAND Monsters5BELLEVILLE Senators9LSommaire du match
62 - 2024-04-12620LAVAL Rocket11CLEVELAND Monsters2LSommaire du match
63 - 2024-04-13635BINGHAMTON Devils8CLEVELAND Monsters3LSommaire du match
64 - 2024-04-14645CLEVELAND Monsters2TUSCON Roadrunners12LSommaire du match
66 - 2024-04-16662CLEVELAND Monsters4LAVAL Rocket11LSommaire du match
67 - 2024-04-17673MANITOBA Moose4CLEVELAND Monsters6WSommaire du match
68 - 2024-04-18685CLEVELAND Monsters3LEHIGH VALLEY Phantoms11LSommaire du match
70 - 2024-04-20696UTICA Comets10CLEVELAND Monsters2LSommaire du match
72 - 2024-04-22715BRIDGEPORT Sound Tigers6CLEVELAND Monsters4LSommaire du match
73 - 2024-04-23736CLEVELAND Monsters2MANITOBA Moose7LSommaire du match
74 - 2024-04-24742SCRANTON Penguins8CLEVELAND Monsters4LSommaire du match
76 - 2024-04-26763CHICAGO Wolves6CLEVELAND Monsters2LSommaire du match
77 - 2024-04-27771CLEVELAND Monsters4CHICAGO Wolves5LXSommaire du match
78 - 2024-04-28776CLEVELAND Monsters4MILWAUKEE Admirals9LSommaire du match
79 - 2024-04-29796MILWAUKEE Admirals9CLEVELAND Monsters3LSommaire du match
81 - 2024-05-01815BELLEVILLE Senators6CLEVELAND Monsters8WSommaire du match
82 - 2024-05-02825CLEVELAND Monsters2PROVIDENCE Bruins11LR3Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
83 - 2024-05-03841SAN DIEGO Gulls5CLEVELAND Monsters7WSommaire du match
85 - 2024-05-05854CLEVELAND Monsters5BROOKLYN Wolfpack7LSommaire du match
86 - 2024-05-06860CLEVELAND Monsters8CAROLINA Checkers5WSommaire du match
87 - 2024-05-07874PROVIDENCE Bruins10CLEVELAND Monsters6LR3Sommaire du match
89 - 2024-05-09891SAN DIEGO Gulls-CLEVELAND Monsters-
90 - 2024-05-10903CLEVELAND Monsters-UTICA Comets-
92 - 2024-05-12921COLORADO Eagles-CLEVELAND Monsters-
94 - 2024-05-14943STOCKTON Flames-CLEVELAND Monsters-
95 - 2024-05-15955CLEVELAND Monsters-BRIDGEPORT Sound Tigers-
96 - 2024-05-16965CLEVELAND Monsters-ROCKFORD IceHogs-
97 - 2024-05-17972CLEVELAND Monsters-MILWAUKEE Admirals-
98 - 2024-05-18979GRAND RAPIDS Griffins-CLEVELAND Monsters-
101 - 2024-05-21998GRAND RAPIDS Griffins-CLEVELAND Monsters-
104 - 2024-05-241018IOWA Wild-CLEVELAND Monsters-
105 - 2024-05-251023CLEVELAND Monsters-ROCKFORD IceHogs-
107 - 2024-05-271031CLEVELAND Monsters-BRIDGEPORT Sound Tigers-



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
6 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,203,485$ 1,330,000$ 1,330,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,202$ 961,247$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 21 14,954$ 314,034$




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