Connexion

Cleveland Monsters
GP: 12 | W: 6 | L: 5 | OTL: 1 | P: 13
GF: 51 | GA: 49 | PP%: 42.86% | PK%: 70.45%
DG: Jean Deslauriers | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #248 vs Springfield Thunderbirds
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Centre de jeu
Cleveland Monsters
6-5-1, 13pts
8
FINAL
5 Hershey Bears
8-6-3, 19pts
Team Stats
L1StreakL1
4-3-1Home Record1-4-2
2-2-0Away Record7-2-1
6-4-0Last 10 Games6-3-1
4.25Buts par match 3.41
4.08Buts contre par match 4.12
42.86%Pourcentage en avantage numérique27.66%
70.45%Pourcentage en désavantage numérique61.90%
Tulsa Oilers
7-7-1, 15pts
6
FINAL
3 Cleveland Monsters
6-5-1, 13pts
Team Stats
L1StreakL1
3-4-1Home Record4-3-1
4-3-0Away Record2-2-0
4-6-0Last 10 Games6-4-0
3.80Buts par match 4.25
3.67Buts contre par match 4.08
32.69%Pourcentage en avantage numérique42.86%
61.76%Pourcentage en désavantage numérique70.45%
Cleveland Monsters
6-5-1, 13pts
2023-11-16
Springfield Thunderbirds
8-5-3, 19pts
Statistiques d’équipe
L1SéquenceL1
4-3-1Fiche domicile3-3-1
2-2-0Fiche visiteur5-2-2
6-4-010 derniers matchs4-4-2
4.25Buts par match 3.56
4.08Buts contre par match 3.56
42.86%Pourcentage en avantage numérique36.96%
70.45%Pourcentage en désavantage numérique75.00%
Tulsa Oilers
7-7-1, 15pts
2023-11-18
Cleveland Monsters
6-5-1, 13pts
Statistiques d’équipe
L1SéquenceL1
3-4-1Fiche domicile4-3-1
4-3-0Fiche visiteur2-2-0
4-6-010 derniers matchs6-4-0
3.80Buts par match 4.25
3.67Buts contre par match 4.25
32.69%Pourcentage en avantage numérique42.86%
61.76%Pourcentage en désavantage numérique70.45%
Cleveland Monsters
6-5-1, 13pts
2023-11-22
San Jose Barracuda
11-2-2, 24pts
Statistiques d’équipe
L1SéquenceW7
4-3-1Fiche domicile6-1-1
2-2-0Fiche visiteur5-1-1
6-4-010 derniers matchs9-1-0
4.25Buts par match 3.80
4.08Buts contre par match 3.80
42.86%Pourcentage en avantage numérique36.59%
70.45%Pourcentage en désavantage numérique77.27%
Meneurs d'équipe
Buts
Mason Shaw
8
Passes
Jordan Harris
11
Points
Trey Fix Wolansky
14
Plus/Moins
Marian Studenic
10
Victoires
Matthew Villalta
4
Pourcentage d’arrêts
Clay Stevenson
0.921

Statistiques d’équipe
Buts pour
51
4.25 GFG
Tirs pour
450
37.50 Avg
Pourcentage en avantage numérique
42.9%
12 GF
Début de zone offensive
37.4%
Buts contre
49
4.08 GAA
Tirs contre
395
32.92 Avg
Pourcentage en désavantage numérique
70.5%%
13 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralJean Deslauriers
EntraîneurSteeve Spott
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 100
Espoirs25


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 moyen
1Zack MacEwen0XXX100.0086827970867885687766686566726847496702741,000,000$
2Morgan Barron (R)0X100.007741676490838365756462786263637543660241900,000$
3Trey Fix Wolansky0XXX100.006246756768898466626666686264656249650242700,000$
4Mason Shaw0XX100.006555626667848564756168696365636332641251700,000$
5Austin Wagner 0XX100.007755796779778161606060626363665643631263700,000$
6Adam Klapka0XX100.009657666099817058505760635563606545620234875,000$
7Lane Pederson0X100.007549806381817857786064596469655946620261775,000$
8Marco Rossi (R)0XX100.005740767069888868756462506656418745622221894,167$
9Marian Studenic (R)0X100.006655806375808251526160686252477546610251700,000$
10Luke Toporowski (R)0XXX100.007750776077757262606161606250506648600224875,000$
11Justin Scott0X100.006942785878768054615556635470665544600281775,000$
12Ryan Suzuki (R)0X100.0061408661707475606761605760626063446002241,300,000$
13Luka Burzan0X100.006236885571675253605658595453557742560232775,000$
14Ozzy Wiesblatt (R)0XX100.006439785767696755585857425452667744550212835,833$
15Mitchell Hoelscher (R)0X100.005545775664717354625556525555608943550232700,000$
16Gabriel Carlsson 0X100.0076418463887678623063606755706982246622642,000,000$
17Jordan Harris (R)0X100.0066408067688973673070607260624279496522331,400,000$
18Ryan Merkley (R)0X100.0061407466728384643063546056434365386102331,400,000$
19Dmitry Osipov0X100.008374635492627952305053605668655247610273775,000$
20James Greenway (R)0X100.008655665595676655305555625560406640600253775,000$
21Turner Ottenbreit0X100.007349715582668353305554574866645343600263700,000$
22Jeremie Biakabutuka (R)0X100.008045705577757455305552585545506044590214875,000$
Rayé
1Kodie Curran0X100.007731786680757660306058685875753039660332752,000$
MOYENNE D’ÉQUIPE100.00724875627877775953605962586158654362
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 moyen
1Clay Stevenson (R)0100.00767070857574767676767564714348730244875,000$
2Matthew Villalta (R)0100.00737272767174736972737266716543700242700,000$
Rayé
1Colten Ellis (R)0100.00707770757272727275727065407734692231850,833$
2Jack LaFontaine (R)0100.00697070816869696767676565407734660251775,000$
MOYENNE D’ÉQUIPE100.0072727179727273717372716556664070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steeve Spott65747568828066CAN533850,000$


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
1Trey Fix WolanskyCleveland Monsters (CLB)C/LW/RW116814-395101548152812.50%719918.132247140000160035.71%1476001.4001001210
2Jordan HarrisCleveland Monsters (CLB)D112111304018182710147.41%2431628.75123221000035000.00%0712000.8200000001
3Lane PedersonCleveland Monsters (CLB)C1257126001593071516.67%517214.3402201000040062.94%14333001.4000000200
4Marco RossiCleveland Monsters (CLB)C/LW12639-600121042183714.29%422118.491012120002211054.97%171106000.8100000011
5Mason ShawCleveland Monsters (CLB)C/LW1181911551264692017.39%113712.5210112000021164.29%1464001.3100010001
6Zack MacEwenCleveland Monsters (CLB)C/LW/RW10639-2191511654182511.11%519519.512245160000281158.54%4195000.9201111000
7Marian StudenicCleveland Monsters (CLB)RW1235810201217174817.65%31179.7700001000000035.29%1733001.3700000011
8Luke ToporowskiCleveland Monsters (CLB)C/LW/RW1253895549178229.41%3978.1100000000001050.00%863001.6400001010
9Adam KlapkaCleveland Monsters (CLB)LW/RW12347-722103010144721.43%1022118.431342140000170047.62%2142000.6300002001
10Morgan BarronCleveland Monsters (CLB)C11167-210015183312253.03%221419.471343180002250054.55%24247000.6501000000
11Austin Wagner Cleveland Monsters (CLB)LW/RW12246-4201173116236.45%419616.39202617000010050.00%1273000.6111000000
12Ozzy WiesblattCleveland Monsters (CLB)C/RW121452404512768.33%01179.8200000000000040.00%531000.8500000000
13Justin ScottCleveland Monsters (CLB)C120554206912890.00%213511.3100000000000058.14%8634000.7400000010
14Jeremie BiakabutukaCleveland Monsters (CLB)D12044160847310.00%515813.200000200004000.00%014000.5100000000
15Dmitry OsipovCleveland Monsters (CLB)D121342181018615656.67%925721.42112111000021000.00%016000.3100002000
16James GreenwayCleveland Monsters (CLB)D12033015518710940.00%1423619.68000112000021000.00%025000.2500010000
17Gabriel Carlsson Cleveland Monsters (CLB)D3022-100431000.00%35618.910221500001000.00%010000.7100000000
18Ryan MerkleyCleveland Monsters (CLB)D902231410107141270.00%821724.12011212000124000.00%0412000.1800101000
19Ryan SuzukiCleveland Monsters (CLB)C1211210020102410.00%0564.73011000000010100.00%403000.7100000010
20Turner OttenbreitCleveland Monsters (CLB)D12011-1409910230.00%1318615.5800001000018000.00%013000.1100000000
21Kodie CurranCleveland Monsters (CLB)D1000100100100.00%11818.970000000000000.00%003000.00%00000000
22Luka BurzanCleveland Monsters (CLB)C12000-200000010.00%0211.8100001000090050.00%200000.00%00000000
Statistiques d’équipe totales ou en moyenne2355080130121516523017545017124411.11%123355115.111219313317100052565256.03%7808295000.7314238465
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
1Matthew VillaltaCleveland Monsters (CLB)84400.8554.994692039269132201.000484000
2Clay Stevenson Cleveland Monsters (CLB)52110.9212.35255001012668000.00%048001
Statistiques d’équipe totales ou en moyenne136510.8764.0672420493952002041212001


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam KlapkaCleveland Monsters (CLB)LW/RW232000-09-14 02:06:33No235 Lbs6 ft8NoNoNoNo4Pro & Farm875,000$702,253$875,000$702,253$0$0$No875,000$875,000$875,000$Lien
Austin Wagner Cleveland Monsters (CLB)LW/RW261997-06-23 04:06:53No178 Lbs6 ft1NoNoNoNo3Pro & Farm700,000$561,803$700,000$561,803$0$0$No700,000$700,000$Lien
Clay Stevenson Cleveland Monsters (CLB)G241999-03-03 09:33:39Yes195 Lbs6 ft4NoNoNoNo4Pro & Farm875,000$702,253$875,000$702,253$0$0$No875,000$875,000$875,000$
Colten EllisCleveland Monsters (CLB)G232000-10-05 07:49:26Yes185 Lbs6 ft1NoNoNoNo1Pro & Farm850,833$682,857$850,833$682,857$0$0$No
Dmitry OsipovCleveland Monsters (CLB)D271996-10-04No230 Lbs6 ft4NoNoNoNo3Pro & Farm775,000$621,996$775,000$621,996$0$0$No775,000$775,000$Lien
Gabriel Carlsson Cleveland Monsters (CLB)D261997-01-02 04:01:46No192 Lbs6 ft5NoNoNoNo4Farm Only2,000,000$1,605,150$2,000,000$1,605,150$0$0$No2,000,000$2,000,000$2,000,000$Lien
Jack LaFontaineCleveland Monsters (CLB)G251998-01-06 07:50:46Yes204 Lbs6 ft2NoNoNoNo1Pro & Farm775,000$621,996$775,000$621,996$0$0$No
James GreenwayCleveland Monsters (CLB)D251998-04-27 16:22:08Yes205 Lbs6 ft4NoNoNoNo3Pro & Farm775,000$621,996$775,000$621,996$0$0$No775,000$775,000$
Jeremie BiakabutukaCleveland Monsters (CLB)D212002-03-05 04:36:58Yes203 Lbs6 ft4NoNoNoNo4Pro & Farm875,000$702,253$875,000$702,253$0$0$No875,000$875,000$875,000$
Jordan HarrisCleveland Monsters (CLB)D232000-07-07 07:51:59Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm1,400,000$1,123,605$1,400,000$1,123,605$0$0$No1,400,000$1,400,000$
Justin ScottCleveland Monsters (CLB)C281995-08-13No202 Lbs6 ft1NoNoNoNo1Pro & Farm775,000$621,996$775,000$621,996$0$0$NoLien
Kodie CurranCleveland Monsters (CLB)D331989-12-18 03:59:25No185 Lbs6 ft1NoNoNoNo2Pro & Farm752,000$603,536$752,000$603,536$0$0$No752,000$
Lane PedersonCleveland Monsters (CLB)C261997-08-04No190 Lbs6 ft0NoNoNoNo1Pro & Farm775,000$621,996$775,000$621,996$0$0$NoLien
Luka BurzanCleveland Monsters (CLB)C232000-01-07 08:47:42No185 Lbs6 ft0NoNoNoNo2Pro & Farm775,000$621,996$775,000$621,996$0$0$No775,000$
Luke ToporowskiCleveland Monsters (CLB)C/LW/RW222001-04-12 02:45:43Yes181 Lbs5 ft11NoNoNoNo4Pro & Farm875,000$702,253$875,000$702,253$0$0$No875,000$875,000$875,000$
Marco RossiCleveland Monsters (CLB)C/LW222001-09-23 07:53:11Yes182 Lbs5 ft9NoNoNoNo1Pro & Farm894,167$717,636$894,167$717,636$0$0$No
Marian StudenicCleveland Monsters (CLB)RW251998-10-28 06:22:10Yes190 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$561,803$700,000$561,803$0$0$No
Mason ShawCleveland Monsters (CLB)C/LW251998-11-03No182 Lbs5 ft9NoNoNoNo1Pro & Farm700,000$561,803$700,000$561,803$0$0$NoLien
Matthew VillaltaCleveland Monsters (CLB)G241999-06-03Yes165 Lbs6 ft3NoNoNoNo2Pro & Farm700,000$561,803$700,000$561,803$0$0$No700,000$
Mitchell HoelscherCleveland Monsters (CLB)C232000-01-27 09:13:39Yes157 Lbs5 ft11NoNoNoNo2Pro & Farm700,000$561,803$700,000$561,803$0$0$No700,000$
Morgan Barron (contrat à 1 volet)Cleveland Monsters (CLB)C241998-12-02 06:28:40Yes220 Lbs6 ft4NoNoNoNo1Pro & Farm900,000$684,375$900,000$684,375$900,000$684,375$No
Ozzy WiesblattCleveland Monsters (CLB)C/RW212002-03-09 08:38:41Yes183 Lbs5 ft10NoNoNoNo2Pro & Farm835,833$670,819$835,833$670,819$0$0$No835,833$
Ryan MerkleyCleveland Monsters (CLB)D232000-08-14 06:35:58Yes186 Lbs6 ft0NoNoNoNo3Pro & Farm1,400,000$1,123,605$1,400,000$1,123,605$0$0$No1,400,000$1,400,000$
Ryan SuzukiCleveland Monsters (CLB)C222001-05-28 13:10:22Yes176 Lbs6 ft0NoNoNoNo4Pro & Farm1,300,000$1,043,348$1,300,000$1,043,348$0$0$No1,300,000$1,300,000$1,300,000$
Trey Fix WolanskyCleveland Monsters (CLB)C/LW/RW241999-05-26No178 Lbs5 ft7NoNoNoNo2Pro & Farm700,000$561,803$700,000$561,803$0$0$No700,000$Lien
Turner OttenbreitCleveland Monsters (CLB)D261997-07-09No192 Lbs6 ft3NoNoNoNo3Pro & Farm700,000$561,803$700,000$561,803$0$0$No700,000$700,000$Lien
Zack MacEwenCleveland Monsters (CLB)C/LW/RW271996-07-08No205 Lbs6 ft3NoNoNoNo4Pro & Farm1,000,000$802,575$1,000,000$802,575$0$0$No1,000,000$1,000,000$1,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.48192 Lbs6 ft12.44903,068$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austin Wagner 30122
2Trey Fix WolanskyMarco RossiAdam Klapka30122
3Luke ToporowskiLane PedersonMarian Studenic20122
4Mason ShawJustin ScottOzzy Wiesblatt20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Harris30122
2Dmitry OsipovJames Greenway30122
3Turner OttenbreitJeremie Biakabutuka20122
4Jordan Harris20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austin Wagner 60122
2Trey Fix WolanskyMarco RossiAdam Klapka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Harris60122
2Dmitry OsipovJames Greenway40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Marco RossiTrey Fix Wolansky40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Harris60122
2Dmitry OsipovJames Greenway40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jordan Harris60122
2Marco Rossi40122Dmitry OsipovJames Greenway40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Marco RossiTrey Fix Wolansky40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Harris60122
2Dmitry OsipovJames Greenway40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austin Wagner Jordan Harris
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austin Wagner Jordan Harris
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Klapka, Marco Rossi, Lane PedersonAdam Klapka, Marco RossiAdam Klapka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
James Greenway, Turner Ottenbreit, Jeremie BiakabutukaJames GreenwayJames Greenway, Turner Ottenbreit
Tirs de pénalité
, , Trey Fix Wolansky, Austin Wagner , Adam Klapka
Gardien
#1 : Matthew Villalta, #2 : Clay Stevenson
Lignes d’attaque personnalisées en prolongation
, , Trey Fix Wolansky, Austin Wagner , Adam Klapka, Marco Rossi, Marco Rossi, Lane Pederson, Luke Toporowski, Marian Studenic, Justin Scott
Lignes de défense personnalisées en prolongation
Jordan Harris, , Dmitry Osipov, James Greenway, Turner Ottenbreit


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
1Charlotte Checkers10000010761100000107610000000000021.0007916001016241421291521685487817200.00%4175.00%016829057.93%16329056.21%10619654.08%256144235114233109
2Grand Rapids Griffins1010000023-11010000023-10000000000000.00024600101624136129152168532101617000.00%3233.33%016829057.93%16329056.21%10619654.08%256144235114233109
3Hershey Bears11000000853000000000001100000085321.00081321001016241471291521685281211195360.00%30100.00%016829057.93%16329056.21%10619654.08%256144235114233109
4Iowa Wild11000000312000000000001100000031221.0003360010162413212915216852591820200.00%40100.00%016829057.93%16329056.21%10619654.08%256144235114233109
5Laval Rocket3200010013943200010013940000000000050.8331322350010162419912915216857831285655100.00%9277.78%016829057.93%16329056.21%10619654.08%256144235114233109
6Ontario Reign1010000013-2000000000001010000013-200.000112001016241351291521685375214200.00%10100.00%016829057.93%16329056.21%10619654.08%256144235114233109
7Rockford IceHogs1010000036-31010000036-30000000000000.00035800101624146129152168547182919100.00%7271.43%016829057.93%16329056.21%10619654.08%256144235114233109
8Tulsa Oilers 211000001110121100000111010000000000020.500111829001016241821291521685621935418450.00%10640.00%016829057.93%16329056.21%10619654.08%256144235114233109
9Wilkes-Barre/Scranton Penguins 1010000036-3000000000001010000036-300.0003580010162413112915216853812627300.00%30100.00%016829057.93%16329056.21%10619654.08%256144235114233109
Total1255001105149283300110363424220000015150130.54251801310010162414501291521685395123153230281242.86%441370.45%016829057.93%16329056.21%10619654.08%256144235114233109
_Since Last GM Reset1255001105149283300110363424220000015150130.54251801310010162414501291521685395123153230281242.86%441370.45%016829057.93%16329056.21%10619654.08%256144235114233109
_Vs Conference724000102729-2513000102325-22110000044060.42927406700101624127312915216852516810812815426.67%291162.07%016829057.93%16329056.21%10619654.08%256144235114233109
_Vs Division4230001017170313000101416-21100000031260.750172643001016241160129152168513446828011436.36%21861.90%016829057.93%16329056.21%10619654.08%256144235114233109

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1213L1518013145039512315323000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
125501105149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83301103634
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42200001515
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
281242.86%441370.45%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
12915216851016241
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
16829057.93%16329056.21%10619654.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
256144235114233109


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
3 - 2023-10-0314Laval Rocket3Cleveland Monsters2BLXSommaire du match
5 - 2023-10-0526Cleveland Monsters1Ontario Reign3ALSommaire du match
7 - 2023-10-0738Laval Rocket2Cleveland Monsters6BWSommaire du match
12 - 2023-10-1267Cleveland Monsters3Iowa Wild1AWSommaire du match
14 - 2023-10-1478Laval Rocket4Cleveland Monsters5BWSommaire du match
20 - 2023-10-20103Tulsa Oilers 4Cleveland Monsters8BWSommaire du match
25 - 2023-10-25130Charlotte Checkers6Cleveland Monsters7BWXXSommaire du match
30 - 2023-10-30161Rockford IceHogs6Cleveland Monsters3BLSommaire du match
35 - 2023-11-04192Cleveland Monsters3Wilkes-Barre/Scranton Penguins 6ALSommaire du match
36 - 2023-11-05195Grand Rapids Griffins3Cleveland Monsters2BLSommaire du match
42 - 2023-11-11222Cleveland Monsters8Hershey Bears5AWSommaire du match
43 - 2023-11-12227Tulsa Oilers 6Cleveland Monsters3BLSommaire du match
47 - 2023-11-16248Cleveland Monsters-Springfield Thunderbirds-
49 - 2023-11-18259Tulsa Oilers -Cleveland Monsters-
53 - 2023-11-22271Cleveland Monsters-San Jose Barracuda-
56 - 2023-11-25286Cleveland Monsters-Binghamton Devils-
57 - 2023-11-26292Texas Stars-Cleveland Monsters-
63 - 2023-12-02324Bakersfield Condors-Cleveland Monsters-
66 - 2023-12-05342Cleveland Monsters-San Diego Gulls-
69 - 2023-12-08354Tucson Roadrunners-Cleveland Monsters-
71 - 2023-12-10368Cleveland Monsters-Hartford Wolf Pack-
73 - 2023-12-12380Cleveland Monsters-Bridgeport Sound Tigers-
75 - 2023-12-14390Stockton Heat-Cleveland Monsters-
79 - 2023-12-18417Manitoba Moose-Cleveland Monsters-
81 - 2023-12-20429Cleveland Monsters-Chicago Wolves-
84 - 2023-12-23450Cleveland Monsters-Milwaukee Admirals-
85 - 2023-12-24456Belleville Senators-Cleveland Monsters-
88 - 2023-12-27469Cleveland Monsters-Ontario Reign-
90 - 2023-12-29479Cleveland Monsters-Wilkes-Barre/Scranton Penguins -
92 - 2023-12-31489Hershey Bears-Cleveland Monsters-
96 - 2024-01-04505Cleveland Monsters-Rochester Americans -
98 - 2024-01-06514Cleveland Monsters-Stockton Heat-
100 - 2024-01-08522Cleveland Monsters-Iowa Wild-
101 - 2024-01-09530Binghamton Devils-Cleveland Monsters-
107 - 2024-01-15558Chicago Wolves-Cleveland Monsters-
112 - 2024-01-20584Cleveland Monsters-San Antonio Rampage-
113 - 2024-01-21592Rockford IceHogs-Cleveland Monsters-
117 - 2024-01-25617Providence Bruins -Cleveland Monsters-
120 - 2024-01-28631Cleveland Monsters-Bakersfield Condors-
122 - 2024-01-30644Cleveland Monsters-Syracuse Crunch-
123 - 2024-01-31653Grand Rapids Griffins-Cleveland Monsters-
127 - 2024-02-04673Cleveland Monsters-Palm Springs -
129 - 2024-02-06685San Diego Gulls-Cleveland Monsters-
132 - 2024-02-09697Cleveland Monsters-Rockford IceHogs-
135 - 2024-02-12719Charlotte Checkers-Cleveland Monsters-
140 - 2024-02-17744Cleveland Monsters-Manitoba Moose-
141 - 2024-02-18753Palm Springs -Cleveland Monsters-
146 - 2024-02-23777San Jose Barracuda-Cleveland Monsters-
149 - 2024-02-26794Cleveland Monsters-Utica Comets -
151 - 2024-02-28806Cleveland Monsters-Manitoba Moose-
153 - 2024-03-01814Lehigh Valley Phantoms-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158 - 2024-03-06839Cleveland Monsters-Milwaukee Admirals-
160 - 2024-03-08846Toronto Marlies-Cleveland Monsters-
165 - 2024-03-13873Manitoba Moose-Cleveland Monsters-
168 - 2024-03-16887Cleveland Monsters-Texas Stars-
171 - 2024-03-19906Toronto Marlies-Cleveland Monsters-
175 - 2024-03-23923Cleveland Monsters-Ontario Reign-
178 - 2024-03-26938Cleveland Monsters-Tucson Roadrunners-
180 - 2024-03-28945San Antonio Rampage-Cleveland Monsters-
183 - 2024-03-31964Cleveland Monsters-Rockford IceHogs-
186 - 2024-04-03975Laval Rocket-Cleveland Monsters-
191 - 2024-04-081003San Antonio Rampage-Cleveland Monsters-
193 - 2024-04-101013Cleveland Monsters-Grand Rapids Griffins-
198 - 2024-04-151032Laval Rocket-Cleveland Monsters-
200 - 2024-04-171045Cleveland Monsters-Grand Rapids Griffins-
204 - 2024-04-211063Ontario Reign-Cleveland Monsters-
207 - 2024-04-241085Cleveland Monsters-Tulsa Oilers -
209 - 2024-04-261095Iowa Wild-Cleveland Monsters-
212 - 2024-04-291111Cleveland Monsters-Tulsa Oilers -
214 - 2024-05-011125Iowa Wild-Cleveland Monsters-
216 - 2024-05-031132Cleveland Monsters-Syracuse Crunch-
218 - 2024-05-051141Cleveland Monsters-Charlotte Checkers-
219 - 2024-05-061150Cleveland Monsters-Hershey Bears-
223 - 2024-05-101170Milwaukee Admirals-Cleveland Monsters-
226 - 2024-05-131183Cleveland Monsters-Charlotte Checkers-
232 - 2024-05-191213Milwaukee Admirals-Cleveland Monsters-



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
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
590,072$ 2,348,283$ 2,348,283$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,078$ 422,253$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 13,727$ 2,566,949$




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