Connexion

Cleveland Monsters
GP: 57 | W: 26 | L: 23 | OTL: 8 | P: 60
GF: 194 | GA: 205 | PP%: 31.91% | PK%: 75.00%
DG: Jean Deslauriers | Morale : 32 | Moyenne d’équipe : 63
Prochains matchs #938 vs Tucson Roadrunners
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Centre de jeu
Toronto Marlies
21-30-8, 50pts
5
FINAL
3 Cleveland Monsters
26-23-8, 60pts
Team Stats
L1SéquenceW1
9-15-5Fiche domicile13-11-5
12-15-3Fiche domicile13-12-3
5-5-0Derniers 10 matchs8-2-0
2.81Buts par match 3.40
3.27Buts contre par match 3.60
26.11%Pourcentage en avantage numérique31.91%
74.19%Pourcentage en désavantage numérique75.00%
Cleveland Monsters
26-23-8, 60pts
3
FINAL
2 Ontario Reign
26-24-10, 62pts
Team Stats
W1SéquenceOTL1
13-11-5Fiche domicile13-11-5
13-12-3Fiche domicile13-13-5
8-2-0Derniers 10 matchs2-5-3
3.40Buts par match 3.15
3.60Buts contre par match 3.25
31.91%Pourcentage en avantage numérique23.29%
75.00%Pourcentage en désavantage numérique80.13%
Cleveland Monsters
26-23-8, 60pts
Jour 178
Tucson Roadrunners
25-24-8, 58pts
Statistiques d’équipe
W1SéquenceL1
13-11-5Fiche domicile12-13-4
13-12-3Fiche visiteur13-11-4
8-2-010 derniers matchs4-5-1
3.40Buts par match 3.25
3.60Buts contre par match 3.25
31.91%Pourcentage en avantage numérique26.79%
75.00%Pourcentage en désavantage numérique68.71%
San Antonio Rampage
33-18-8, 74pts
Jour 180
Cleveland Monsters
26-23-8, 60pts
Statistiques d’équipe
W1SéquenceW1
18-6-5Fiche domicile13-11-5
15-12-3Fiche visiteur13-12-3
3-3-410 derniers matchs8-2-0
3.00Buts par match 3.40
2.49Buts contre par match 3.40
27.20%Pourcentage en avantage numérique31.91%
76.92%Pourcentage en désavantage numérique75.00%
Cleveland Monsters
26-23-8, 60pts
Jour 183
Rockford IceHogs
32-21-4, 68pts
Statistiques d’équipe
W1SéquenceW3
13-11-5Fiche domicile14-12-3
13-12-3Fiche visiteur18-9-1
8-2-010 derniers matchs6-3-1
3.40Buts par match 3.70
3.60Buts contre par match 3.70
31.91%Pourcentage en avantage numérique25.43%
75.00%Pourcentage en désavantage numérique70.27%
Meneurs d'équipe
Buts
Mason Shaw
39
Passes
Trey Fix Wolansky
30
Points
Mason Shaw
60
Plus/Moins
Luke Toporowski
12
Victoires
Matthew Villalta
24
Pourcentage d’arrêts
Clay Stevenson
0.921

Statistiques d’équipe
Buts pour
194
3.40 GFG
Tirs pour
1803
31.63 Avg
Pourcentage en avantage numérique
31.9%
45 GF
Début de zone offensive
36.0%
Buts contre
205
3.60 GAA
Tirs contre
1888
33.12 Avg
Pourcentage en désavantage numérique
75.0%%
47 GA
Début de la zone défensive
38.5%
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 Pro25
Équipe Mineure20
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
1Morgan Barron (R)0X100.007741676591838366756663766264647452670251900,000$
2Trey Fix Wolansky0XXX100.006246756869898467626766676266676061660242700,000$
3Mason Shaw0XX100.006655616667848566756269676366646248651251700,000$
4Austin Wagner 0XX100.007755796879778162606162616365685457631263700,000$
5Adam Klapka0XX100.009757666199817058505761625565626354620234875,000$
6Lane Pederson0X100.007549816381817857786064596470665836620261775,000$
7Marian Studenic (R)0X100.006655816375808251526259676254497348600251700,000$
8Luke Toporowski (R)0XXX100.007650776178757262606160606251516540600234875,000$
9Justin Scott0X100.006942785878768055615656635472675355600281775,000$
10Ryan Suzuki (R)0X100.0061408762717475606761605660636162506002241,300,000$
11Luka Burzan0X100.006136895672675251605557585455567538550242775,000$
12Ozzy Wiesblatt (R)0XX100.006339795868696754585856415454687548550222835,833$
13Mitchell Hoelscher (R)0X100.005545775664717354625556525555608947550242700,000$
14Gabriel Carlsson 0X100.0076418563887678643065626755717081376622742,000,000$
15Jordan Harris (R)0X100.0066408168698973683071617260644477676622331,400,000$
16Kodie Curran0X100.007731786680757660306058685875753027650342752,000$
17Ryan Merkley (R)0X100.0061407467738384643062546056444464426102331,400,000$
18Dmitry Osipov0X100.008374625492627952304954605670675035610273775,000$
19Turner Ottenbreit0X100.007349725582668353305553574867655248600263700,000$
20Jeremie Biakabutuka (R)0X100.007945715779757455305551575547525848590224875,000$
Rayé
1James Greenway (R)0X100.008655665595676655305554615562416424600253775,000$
MOYENNE D’ÉQUIPE100.00724776617976765950605961586260644661
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)0100.00767070857574767676767564714363730254875,000$
2Matthew Villalta (R)0100.00748072767675747474757468736370730242700,000$
Rayé
1Colten Ellis (R)0100.00707770757272727275727065407720682231850,833$
2Jack LaFontaine (R)0100.00697070816869696767676565407720660261775,000$
MOYENNE D’ÉQUIPE100.0072747179737373727373716656654370
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
1Mason ShawCleveland Monsters (CLB)C/LW56392160-131052594662697313614.50%20105718.89671321830002294152.40%2086422011.1302122145
2Trey Fix WolanskyCleveland Monsters (CLB)C/LW/RW56193049-441155574214591218.88%25104418.66391219830003573050.82%612923000.9402002352
3Morgan BarronCleveland Monsters (CLB)C55173047-928069621506011211.33%1398017.8281321291070004501153.62%3041919000.9602000225
4Austin Wagner Cleveland Monsters (CLB)LW/RW57222446-7422065441767510112.50%35109319.19108183210700051283344.30%794226000.8422121340
5Marco RossiColumbus Blue JacketsC/LW40181735-3604046143468512.59%1268417.1245918450006632156.71%4922513111.0200000421
6Gabriel Carlsson Cleveland Monsters (CLB)D4862632495496759262410.17%57109222.75311148109000089200%02035000.5900001111
7Justin ScottCleveland Monsters (CLB)C5711213252756679106315910.38%35104018.26011012000481050.84%11311424000.6200001031
8Jordan HarrisCleveland Monsters (CLB)D5672431-3235547411034456.36%77128823.003478770002103100%04044000.4800100102
9Adam KlapkaCleveland Monsters (CLB)LW/RW57141327-1054201136362204322.58%28117220.5734758400021352044.53%2561527000.4600112102
10Zack MacEwenColumbus Blue JacketsC/LW/RW27121325-343353228114304310.53%1249718.423368500000302152.04%2691510001.0101412011
11Marian StudenicCleveland Monsters (CLB)RW574182267554515318307.55%1667111.7700004000000050.00%38816000.6600010013
12Lane PedersonCleveland Monsters (CLB)C4091322620322756212916.07%1041310.35022040000161058.39%29876001.0600000210
13Ryan SuzukiCleveland Monsters (CLB)C5751116-52027365726448.77%105078.9001100000001152.78%21687000.6300000111
14Ozzy WiesblattCleveland Monsters (CLB)C/RW5611213-410019184125282.44%115089.0700000000000045.95%37107000.5100000000
15Luke ToporowskiCleveland Monsters (CLB)C/LW/RW3654912759121911626.32%31594.4300001000081044.44%995001.1300001010
16Dmitry OsipovCleveland Monsters (CLB)D57369-111476576545529255.45%77133423.42213471000090000%0839000.1300175000
17Jeremie BiakabutukaCleveland Monsters (CLB)D5708802003532241070%4383814.70000015000029000%0417000.1900000000
18James GreenwayCleveland Monsters (CLB)D48088-11462059443721110%4390718.90022361000193000%0727000.1800112000
19Turner OttenbreitCleveland Monsters (CLB)D57088-212053523610190%54100517.640223480002149000%0624000.1600000000
20Ryan MerkleyCleveland Monsters (CLB)D54044320101211191680%143586.64011212000124000%0417000.2200101000
21Luka BurzanCleveland Monsters (CLB)C51011000253020%31573.08000060000560048.44%6404000.1300000000
22Kodie CurranCleveland Monsters (CLB)D10000100200100%1515.130000000005000%00500000000000
Statistiques d’équipe totales ou en moyenne1089192312504-486512351017945180364297810.65%5991686315.49457411916099100032117124852.14%3462354417120.6029111520192624
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)53242270.8903.643182601931760875521.0008534523
2Clay Stevenson Cleveland Monsters (CLB)52110.9212.352550010126680000453001
Statistiques d’équipe totales ou en moyenne58262380.8923.5434376020318869435285757524


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 Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam KlapkaCleveland Monsters (CLB)LW/RW232000-09-14 02:06:33No235 Lbs6 ft8NoNoN/ANoNo4Pro & Farm875,000$217,811$875,000$217,811$0$0$No875,000$875,000$875,000$------NoNoNo------Lien
Austin Wagner Cleveland Monsters (CLB)LW/RW261997-06-23 04:06:53No178 Lbs6 ft1NoNoN/ANoNo3Pro & Farm700,000$174,249$700,000$174,249$0$0$No700,000$700,000$-------NoNo-------Lien
Clay Stevenson Cleveland Monsters (CLB)G251999-03-03 09:33:39Yes195 Lbs6 ft4NoNoN/ANoNo4Pro & Farm875,000$217,811$875,000$217,811$0$0$No875,000$875,000$875,000$------NoNoNo------
Colten EllisCleveland Monsters (CLB)G232000-10-05 07:49:26Yes185 Lbs6 ft1NoNoN/ANoNo1Pro & Farm850,833$211,795$850,833$211,795$0$0$No------------------
Dmitry OsipovCleveland Monsters (CLB)D271996-10-04No230 Lbs6 ft4NoNoN/ANoNo3Pro & Farm775,000$192,918$775,000$192,918$0$0$No775,000$775,000$-------NoNo-------Lien
Gabriel Carlsson Cleveland Monsters (CLB)D271997-01-02 04:01:46No192 Lbs6 ft5NoNoN/ANoNo4Farm Only2,000,000$497,854$2,000,000$497,854$0$0$No2,000,000$2,000,000$2,000,000$------NoNoNo------Lien
Jack LaFontaineCleveland Monsters (CLB)G261998-01-06 07:50:46Yes204 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$192,918$775,000$192,918$0$0$No------------------
James GreenwayCleveland Monsters (CLB)D251998-04-27 16:22:08Yes205 Lbs6 ft4NoNoN/ANoNo3Pro & Farm775,000$192,918$775,000$192,918$0$0$No775,000$775,000$-------NoNo-------
Jeremie BiakabutukaCleveland Monsters (CLB)D222002-03-05 04:36:58Yes203 Lbs6 ft4NoNoN/ANoNo4Pro & Farm875,000$217,811$875,000$217,811$0$0$No875,000$875,000$875,000$------NoNoNo------
Jordan HarrisCleveland Monsters (CLB)D232000-07-07 07:51:59Yes185 Lbs5 ft11NoNoN/ANoNo3Pro & Farm1,400,000$348,498$1,400,000$348,498$0$0$No1,400,000$1,400,000$-------NoNo-------
Justin ScottCleveland Monsters (CLB)C281995-08-13No202 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$192,918$775,000$192,918$0$0$No------------------Lien
Kodie CurranCleveland Monsters (CLB)D341989-12-18 03:59:25No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm752,000$187,193$752,000$187,193$0$0$No752,000$--------No--------
Lane PedersonCleveland Monsters (CLB)C261997-08-04No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$192,918$775,000$192,918$0$0$No------------------Lien
Luka BurzanCleveland Monsters (CLB)C242000-01-07 08:47:42No185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$192,918$775,000$192,918$0$0$No775,000$--------No--------
Luke ToporowskiCleveland Monsters (CLB)C/LW/RW232001-04-12 02:45:43Yes181 Lbs5 ft11NoNoN/ANoNo4Pro & Farm875,000$217,811$875,000$217,811$0$0$No875,000$875,000$875,000$------NoNoNo------
Marian StudenicCleveland Monsters (CLB)RW251998-10-28 06:22:10Yes190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm700,000$174,249$700,000$174,249$0$0$No------------------
Mason ShawCleveland Monsters (CLB)C/LW251998-11-03No182 Lbs5 ft9NoNoN/ANoNo1Pro & Farm700,000$174,249$700,000$174,249$0$0$No------------------Lien
Matthew VillaltaCleveland Monsters (CLB)G241999-06-03Yes165 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$174,249$700,000$174,249$0$0$No700,000$--------No--------Lien
Mitchell HoelscherCleveland Monsters (CLB)C242000-01-27 09:13:39Yes157 Lbs5 ft11NoNoN/ANoNo2Pro & Farm700,000$174,249$700,000$174,249$0$0$No700,000$--------No--------
Morgan Barron (contrat à 1 volet)Cleveland Monsters (CLB)C251998-12-02 06:28:40Yes220 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$79,688$900,000$79,688$900,000$79,688$No------------------
Ozzy WiesblattCleveland Monsters (CLB)C/RW222002-03-09 08:38:41Yes183 Lbs5 ft10NoNoN/ANoNo2Pro & Farm835,833$208,061$835,833$208,061$0$0$No835,833$--------No--------
Ryan MerkleyCleveland Monsters (CLB)D232000-08-14 06:35:58Yes186 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,400,000$348,498$1,400,000$348,498$0$0$No1,400,000$1,400,000$-------NoNo-------
Ryan SuzukiCleveland Monsters (CLB)C222001-05-28 13:10:22Yes176 Lbs6 ft0NoNoN/ANoNo4Pro & Farm1,300,000$323,605$1,300,000$323,605$0$0$No1,300,000$1,300,000$1,300,000$------NoNoNo------
Trey Fix WolanskyCleveland Monsters (CLB)C/LW/RW241999-05-26No178 Lbs5 ft7NoNoN/ANoNo2Pro & Farm700,000$174,249$700,000$174,249$0$0$No700,000$--------No--------Lien
Turner OttenbreitCleveland Monsters (CLB)D261997-07-09No192 Lbs6 ft3NoNoN/ANoNo3Pro & Farm700,000$174,249$700,000$174,249$0$0$No700,000$700,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.88191 Lbs6 ft12.44899,547$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Morgan BarronJustin ScottAustin Wagner 30122
2Trey Fix WolanskyLane PedersonAdam Klapka30122
3Mason ShawRyan SuzukiMarian Studenic20122
4Mason ShawJustin ScottOzzy Wiesblatt20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisGabriel Carlsson 30122
2Dmitry OsipovRyan Merkley30122
3Turner OttenbreitJeremie Biakabutuka20122
4Gabriel Carlsson Dmitry Osipov20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Morgan BarronMason ShawAustin Wagner 60122
2Trey Fix WolanskyJustin ScottAdam Klapka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Turner OttenbreitGabriel Carlsson 60122
2Dmitry OsipovJeremie Biakabutuka40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam KlapkaAustin Wagner 60122
2Mason ShawJustin Scott40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gabriel Carlsson Turner Ottenbreit60122
2Dmitry OsipovJeremie Biakabutuka40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Klapka60122Gabriel Carlsson Turner Ottenbreit60122
2Austin Wagner 40122Dmitry OsipovJordan Harris40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Austin Wagner Adam Klapka60122
2Mason ShawTrey Fix Wolansky40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Turner OttenbreitGabriel Carlsson 60122
2Dmitry OsipovJeremie Biakabutuka40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trey Fix WolanskyMorgan BarronAustin Wagner Jordan HarrisGabriel Carlsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trey Fix WolanskyMorgan BarronAustin Wagner Jordan HarrisGabriel Carlsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Klapka, Mason Shaw, Austin Wagner Adam Klapka, Austin Wagner Adam Klapka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Carlsson , Turner Ottenbreit, Jeremie BiakabutukaGabriel Carlsson Gabriel Carlsson , Turner Ottenbreit
Tirs de pénalité
Mason Shaw, Trey Fix Wolansky, Justin Scott, Austin Wagner , Adam Klapka
Gardien
#1 : Matthew Villalta, #2 : Clay Stevenson
Lignes d’attaque personnalisées en prolongation
Ozzy Wiesblatt, Trey Fix Wolansky, Morgan Barron, Austin Wagner , Adam Klapka, Lane Pederson, Lane Pederson, Ryan Suzuki, Mason Shaw, Marian Studenic, Justin Scott
Lignes de défense personnalisées en prolongation
Gabriel Carlsson , Jeremie Biakabutuka, Dmitry Osipov, Ryan Merkley, 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
1Bakersfield Condors211000001011-11010000036-31100000075220.5001017270051647366653260864724862031336466.67%8187.50%0664123953.59%687132551.85%45487851.71%113458111635501144566
2Belleville Senators1010000025-31010000025-30000000000000.00023500516473619532608647244120724400.00%10100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
3Binghamton Devils2010010059-41000010045-11010000014-310.25057120051647364653260864724551631466350.00%13376.92%0664123953.59%687132551.85%45487851.71%113458111635501144566
4Bridgeport Sound Tigers1010000025-3000000000001010000025-300.000224005164736285326086472431161419100.00%7442.86%0664123953.59%687132551.85%45487851.71%113458111635501144566
5Charlotte Checkers201000101010020100010101000000000000020.5001015250051647367253260864724711633375240.00%9366.67%0664123953.59%687132551.85%45487851.71%113458111635501144566
6Chicago Wolves2020000059-41010000036-31010000023-100.00058130051647367053260864724732125373133.33%5260.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
7Grand Rapids Griffins2010010068-22010010068-20000000000010.25069150051647367953260864724712022363133.33%6350.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
8Hartford Wolf Pack11000000431000000000001100000043121.000461000516473637532608647243686196350.00%30100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
9Hershey Bears220000001174110000003211100000085341.0001118290051647367553260864724582917318337.50%6183.33%0664123953.59%687132551.85%45487851.71%113458111635501144566
10Iowa Wild2110000046-2000000000002110000046-220.500459005164736625326086472467182437600.00%7185.71%0664123953.59%687132551.85%45487851.71%113458111635501144566
11Laval Rocket3200010013943200010013940000000000050.83313223500516473699532608647247831285655100.00%9277.78%0664123953.59%687132551.85%45487851.71%113458111635501144566
12Lehigh Valley Phantoms11000000321110000003210000000000021.00036900516473630532608647243614614200.00%30100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
13Manitoba Moose412001001113-22010010057-22110000066030.375111829005164736123532608647241444951611119.09%14192.86%0664123953.59%687132551.85%45487851.71%113458111635501144566
14Milwaukee Admirals21100000660000000000002110000066020.50069150051647365653260864724602612395120.00%6350.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
15Ontario Reign30201000811-30000000000030201000811-320.33381220005164736955326086472491316496116.67%30100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
16Palm Springs 21000100642110000004131000010023-130.750611170051647366853260864724471419377228.57%70100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
17Providence Bruins 11000000523110000005230000000000021.000581300516473628532608647241922254250.00%110.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
18Rochester Americans 10001000541000000000001000100054121.000591400516473632532608647242910141722100.00%2150.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
19Rockford IceHogs3210000010912110000078-11100000031240.667101727005164736104532608647241134160464125.00%15380.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
20San Antonio Rampage1010000024-2000000000001010000024-200.00023500516473629532608647243010212000%10100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
21San Diego Gulls211000006601010000045-11100000021120.50061016005164736635326086472466222345120.00%10100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
22San Jose Barracuda20000110660100000103211000010034-130.75068140051647366653260864724691824376233.33%70100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
23Springfield Thunderbirds1010000035-2000000000001010000035-200.0003690051647363653260864724301211193133.33%330.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
24Stockton Heat2110000079-21010000025-31100000054120.50071320005164736625326086472461123036200.00%5260.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
25Syracuse Crunch1000010034-1000000000001000010034-110.5003580051647362953260864724431418152150.00%4175.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
26Texas Stars21001000844110000005231000100032141.000813210051647366653260864724701923354125.00%4175.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
27Toronto Marlies21100000871211000008710000000000020.50081220105164736555326086472465733375120.00%40100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
28Tucson Roadrunners1000010034-11000010034-10000000000010.50034700516473621532608647243881013100.00%5180.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
29Tulsa Oilers 321000001411332100000141130000000000040.667142337005164736101532608647248931525611545.45%16756.25%0664123953.59%687132551.85%45487851.71%113458111635501144566
30Utica Comets 10001000321000000000001000100032121.00034700516473622532608647244113171411100.00%20100.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
31Wilkes-Barre/Scranton Penguins 20200000510-50000000000020200000510-500.0005914105164736645326086472480312746700.00%11372.73%0664123953.59%687132551.85%45487851.71%113458111635501144566
Total57202304820194205-1129111100520107107028912043008798-11600.526194312506205164736180353260864724188859965710171414531.91%1884775.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
_Since Last GM Reset57202304820194205-1129111100520107107028912043008798-11600.526194312506205164736180353260864724188859965710171414531.91%1884775.00%0664123953.59%687132551.85%45487851.71%113458111635501144566
_Vs Conference37121602520122131-91959003206975-61877022005356-3370.5001221953170051647361203532608647241246376426635852327.06%1192876.47%0664123953.59%687132551.85%45487851.71%113458111635501144566
_Vs Division187800210585719350021034322943000002425-1180.50058921500051647365625326086472461120223429942921.43%681775.00%0664123953.59%687132551.85%45487851.71%113458111635501144566

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5760W119431250618031888599657101720
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5720234820194205
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2911110520107107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2891243008798
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1414531.91%1884775.00%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
532608647245164736
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
664123953.59%687132551.85%45487851.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
113458111635501144566


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
314Laval Rocket3Cleveland Monsters2BLXSommaire du match
526Cleveland Monsters1Ontario Reign3ALSommaire du match
738Laval Rocket2Cleveland Monsters6BWSommaire du match
1267Cleveland Monsters3Iowa Wild1AWSommaire du match
1478Laval Rocket4Cleveland Monsters5BWSommaire du match
20103Tulsa Oilers 4Cleveland Monsters8BWSommaire du match
25130Charlotte Checkers6Cleveland Monsters7BWXXSommaire du match
30161Rockford IceHogs6Cleveland Monsters3BLSommaire du match
35192Cleveland Monsters3Wilkes-Barre/Scranton Penguins 6ALSommaire du match
36195Grand Rapids Griffins3Cleveland Monsters2BLSommaire du match
42222Cleveland Monsters8Hershey Bears5AWSommaire du match
43227Tulsa Oilers 6Cleveland Monsters3BLSommaire du match
47248Cleveland Monsters3Springfield Thunderbirds5ALSommaire du match
49259Tulsa Oilers 1Cleveland Monsters3BWSommaire du match
53271Cleveland Monsters3San Jose Barracuda4ALXSommaire du match
56286Cleveland Monsters1Binghamton Devils4ALSommaire du match
57292Texas Stars2Cleveland Monsters5BWSommaire du match
63324Bakersfield Condors6Cleveland Monsters3BLSommaire du match
66342Cleveland Monsters2San Diego Gulls1AWSommaire du match
69354Tucson Roadrunners4Cleveland Monsters3BLXSommaire du match
71368Cleveland Monsters4Hartford Wolf Pack3AWSommaire du match
73380Cleveland Monsters2Bridgeport Sound Tigers5ALSommaire du match
75390Stockton Heat5Cleveland Monsters2BLSommaire du match
79417Manitoba Moose4Cleveland Monsters3BLXSommaire du match
81429Cleveland Monsters2Chicago Wolves3ALSommaire du match
84450Cleveland Monsters1Milwaukee Admirals3ALSommaire du match
85456Belleville Senators5Cleveland Monsters2BLSommaire du match
88469Cleveland Monsters4Ontario Reign6ALSommaire du match
90479Cleveland Monsters2Wilkes-Barre/Scranton Penguins 4ALSommaire du match
92489Hershey Bears2Cleveland Monsters3BWSommaire du match
96505Cleveland Monsters5Rochester Americans 4AWXSommaire du match
98514Cleveland Monsters5Stockton Heat4AWSommaire du match
100522Cleveland Monsters1Iowa Wild5ALSommaire du match
101530Binghamton Devils5Cleveland Monsters4BLXSommaire du match
107558Chicago Wolves6Cleveland Monsters3BLSommaire du match
112584Cleveland Monsters2San Antonio Rampage4ALSommaire du match
113592Rockford IceHogs2Cleveland Monsters4BWSommaire du match
117617Providence Bruins 2Cleveland Monsters5BWSommaire du match
120631Cleveland Monsters7Bakersfield Condors5AWSommaire du match
122644Cleveland Monsters3Syracuse Crunch4ALXSommaire du match
123653Grand Rapids Griffins5Cleveland Monsters4BLXSommaire du match
127673Cleveland Monsters2Palm Springs 3ALXSommaire du match
129685San Diego Gulls5Cleveland Monsters4BLSommaire du match
132697Cleveland Monsters3Rockford IceHogs1AWSommaire du match
135719Charlotte Checkers4Cleveland Monsters3BLSommaire du match
140744Cleveland Monsters3Manitoba Moose5ALSommaire du match
141753Palm Springs 1Cleveland Monsters4BWSommaire du match
146777San Jose Barracuda2Cleveland Monsters3BWXXSommaire du match
149794Cleveland Monsters3Utica Comets 2AWXSommaire du match
151806Cleveland Monsters3Manitoba Moose1AWSommaire du match
153814Lehigh Valley Phantoms2Cleveland Monsters3BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158839Cleveland Monsters5Milwaukee Admirals3AWSommaire du match
160846Toronto Marlies2Cleveland Monsters5BWSommaire du match
165873Manitoba Moose3Cleveland Monsters2BLSommaire du match
168887Cleveland Monsters3Texas Stars2AWXSommaire du match
171906Toronto Marlies5Cleveland Monsters3BLSommaire du match
175923Cleveland Monsters3Ontario Reign2AWXSommaire du match
178938Cleveland Monsters-Tucson Roadrunners-
180945San Antonio Rampage-Cleveland Monsters-
183964Cleveland Monsters-Rockford IceHogs-
186975Laval Rocket-Cleveland Monsters-
1911003San Antonio Rampage-Cleveland Monsters-
1931013Cleveland Monsters-Grand Rapids Griffins-
1981032Laval Rocket-Cleveland Monsters-
2001045Cleveland Monsters-Grand Rapids Griffins-
2041063Ontario Reign-Cleveland Monsters-
2071085Cleveland Monsters-Tulsa Oilers -
2091095Iowa Wild-Cleveland Monsters-
2121111Cleveland Monsters-Tulsa Oilers -
2141125Iowa Wild-Cleveland Monsters-
2161132Cleveland Monsters-Syracuse Crunch-
2181141Cleveland Monsters-Charlotte Checkers-
2191150Cleveland Monsters-Hershey Bears-
2231170Milwaukee Admirals-Cleveland Monsters-
2261183Cleveland Monsters-Charlotte Checkers-
2321213Milwaukee 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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,318,233$ 2,158,866$ 2,158,866$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,266$ 1,679,769$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 58 12,914$ 749,012$




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