Connexion

Cleveland Monsters
GP: 25 | W: 10 | L: 12 | OTL: 3 | P: 23
GF: 51 | GA: 52 | PP%: 10.81% | PK%: 86.00%
DG: Alexandre Fyfe | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #422 vs Rochester Americans
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Centre de jeu
Cleveland Monsters
10-12-3, 23pts
0
FINAL
2 Henderson Silver Knights
21-1-2, 44pts
Team Stats
SOL1SéquenceW3
7-4-2Fiche domicile11-1-1
3-8-1Fiche domicile10-0-1
3-6-1Derniers 10 matchs8-0-2
2.04Buts par match 3.33
2.08Buts contre par match 0.38
10.81%Pourcentage en avantage numérique13.64%
86.00%Pourcentage en désavantage numérique96.05%
Ontario Reign
20-3-2, 42pts
2
FINAL
1 Cleveland Monsters
10-12-3, 23pts
Team Stats
SOW1SéquenceSOL1
11-0-2Fiche domicile7-4-2
9-3-0Fiche domicile3-8-1
6-2-2Derniers 10 matchs3-6-1
3.12Buts par match 2.04
1.12Buts contre par match 2.08
12.96%Pourcentage en avantage numérique10.81%
97.96%Pourcentage en désavantage numérique86.00%
Rochester Americans
24-1-1, 49pts
Jour 62
Cleveland Monsters
10-12-3, 23pts
Statistiques d’équipe
L1SéquenceSOL1
11-1-1Fiche domicile7-4-2
13-0-0Fiche visiteur3-8-1
8-1-110 derniers matchs3-6-1
3.42Buts par match 2.04
0.69Buts contre par match 2.04
18.60%Pourcentage en avantage numérique10.81%
93.55%Pourcentage en désavantage numérique86.00%
Cleveland Monsters
10-12-3, 23pts
Jour 65
Charlotte Checkers
13-11-2, 28pts
Statistiques d’équipe
SOL1SéquenceL3
7-4-2Fiche domicile6-6-0
3-8-1Fiche visiteur7-5-2
3-6-110 derniers matchs3-6-1
2.04Buts par match 2.31
2.08Buts contre par match 2.31
10.81%Pourcentage en avantage numérique13.95%
86.00%Pourcentage en désavantage numérique88.89%
Belleville Senators
9-16-0, 18pts
Jour 67
Cleveland Monsters
10-12-3, 23pts
Statistiques d’équipe
W1SéquenceSOL1
4-9-0Fiche domicile7-4-2
5-7-0Fiche visiteur3-8-1
5-5-010 derniers matchs3-6-1
2.28Buts par match 2.04
3.92Buts contre par match 2.04
14.00%Pourcentage en avantage numérique10.81%
78.95%Pourcentage en désavantage numérique86.00%
Meneurs d'équipe
Buts
Alexander Petrovic
9
Passes
Alexander Petrovic
11
Points
Alexander Petrovic
20
Plus/Moins
Alexander Petrovic
5
Victoires
Cale Morris
10
Pourcentage d’arrêts
Cale Morris
0.925

Statistiques d’équipe
Buts pour
51
2.04 GFG
Tirs pour
713
28.52 Avg
Pourcentage en avantage numérique
10.8%
4 GF
Début de zone offensive
36.5%
Buts contre
52
2.08 GAA
Tirs contre
670
26.80 Avg
Pourcentage en désavantage numérique
86.0%%
7 GA
Début de la zone défensive
43.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,822
Billets de saison300


Informations de la formation

Équipe Pro13
Équipe Mineure20
Limite contact 33 / 250
Espoirs24


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
1Danick MartelX100.00403540583580904020404040306971114700292950,000$
2Phillip Di GiuseppeXX100.00734179657387826366656471667274594300304775,000$
3Michael PezzettaXX100.00937870658173836358625961646667484700264800,000$
4Dylan Holloway (R)XX100.00764281667981826460616762686365834700231925,000$
5Vasily Podkolzin (R)X100.00763889667586846463606261626365854700232925,000$
6Kent Johnson (R)XX100.00603695727084857473716963756266884900211925,000$
7Alexander PetrovicX100.00817177609178865930585761487374475000322900,000$
8Andreas EnglundX100.00817369638679876130655867496870624700281700,000$
9Dennis Cholowski (R)X100.00673893638280866230605559486668785000261750,000$
10Jordan SpenceX100.00664189676883856530735963506365624500231750,000$
Rayé
MOYENNE D’ÉQUIPE100.0071497865748185624662596156676962470
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
1Scott Wedgewood100.0077987581787879787966887486504600321700,000$
2Cale Morris100.0059956775605252525344646881365000281750,000$
3Jet Greaves (R)100.0069998571706564646553766369584500232775,000$
Rayé
MOYENNE D’ÉQUIPE100.006897767669656565665476687948470
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Alexander PetrovicCleveland Monsters (CBJ)D259112054801753866284213.64%4354521.831121626000017200%000000.7301000714
2Dennis CholowskiCleveland Monsters (CBJ)D252911-2255121202913206.90%2635914.400000000008000%000000.6102001445
3Kent JohnsonCleveland Monsters (CBJ)C/LW65494003194382411.63%014023.36213812000152078.51%12100011.2801000111
Statistiques d’équipe totales ou en moyenne56162440773529977138498611.59%69104518.6732524380001314078.51%12100010.770400112610
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
1Cale MorrisCleveland Monsters (CBJ)25101230.9251.99151002506700100.50062525185
Statistiques d’équipe totales ou en moyenne25101230.9251.991510025067001062525185


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis 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
Alexander PetrovicCleveland Monsters (CBJ)D321992-03-03CANNo208 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm900,000$621,649$0$0$No900,000$--------600,000$--------No--------Lien
Andreas EnglundCleveland Monsters (CBJ)D281996-01-21SWENo200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$483,505$0$0$No---------------------------Lien
Cale MorrisCleveland Monsters (CBJ)G281996-05-22USANo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$518,041$0$0$No---------------------------Lien
Danick MartelCleveland Monsters (CBJ)LW291994-12-12CANNo184 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm950,000$656,186$0$0$No950,000$--------600,000$--------No--------Lien
Dennis CholowskiCleveland Monsters (CBJ)D261998-02-15CANYes210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$518,041$0$0$No---------------------------Lien
Dylan HollowayCleveland Monsters (CBJ)C/LW232001-09-23CANYes206 Lbs6 ft1NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm925,000$638,918$0$0$No---------------------------Lien
Jet GreavesCleveland Monsters (CBJ)G232001-03-30CANYes184 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-27FalseFalsePro & Farm775,000$535,309$0$0$No775,000$--------600,000$--------No--------Lien
Jordan SpenceCleveland Monsters (CBJ)D232001-02-24CANNo180 Lbs5 ft11NoNoTrade2024-02-19NoNo1FalseFalsePro & Farm750,000$518,041$0$0$No---------------------------Lien
Kent JohnsonCleveland Monsters (CBJ)C/LW212002-10-18CANYes178 Lbs6 ft0NoNoTrade2024-11-21NoNo1FalseFalsePro & Farm925,000$638,918$0$0$No---------------------------Lien
Michael PezzettaCleveland Monsters (CBJ)C/LW261998-03-13CANNo217 Lbs6 ft1NoNoN/ANoNo42024-05-19FalseFalsePro & Farm800,000$552,577$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien
Phillip Di GiuseppeCleveland Monsters (CBJ)LW/RW301993-10-09CANNo193 Lbs6 ft0NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$535,309$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Scott WedgewoodCleveland Monsters (CBJ)G321992-08-14CANNo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$483,505$0$0$No---------------------------Lien
Vasily PodkolzinCleveland Monsters (CBJ)RW232001-06-24RUSYes190 Lbs6 ft1NoNoN/ANoNo22024-08-21FalseFalsePro & Farm925,000$638,918$0$0$No925,000$--------600,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1326.46195 Lbs6 ft11.77817,308$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
230122
322122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander Petrovic38122
230122
3Dennis Cholowski22122
4Alexander Petrovic10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander Petrovic60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander Petrovic60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Alexander Petrovic60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander Petrovic60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander Petrovic
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander Petrovic
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dennis Cholowski, , Dennis CholowskiDennis Cholowski,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 : Cale Morris


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 Condors11000000523110000005230000000000021.00059140020181213322325522614235124011100.00%60100.00%025658843.54%26270537.16%12431639.24%566414664157283135
2Bridgeport Islanders22000000817220000008170000000000041.0008162401201812185223255226143896463133.33%30100.00%025658843.54%26270537.16%12431639.24%566414664157283135
3Coachella Valley Firebirds1010000012-1000000000001010000012-100.0001230020181211822325522614317620200.00%30100.00%025658843.54%26270537.16%12431639.24%566414664157283135
4Colorado Eagles1010000012-11010000012-10000000000000.00012300201812128223255226142811626000%3233.33%025658843.54%26270537.16%12431639.24%566414664157283135
5Grand Rapids Griffins11000000211000000000001100000021121.0002460020181211922325522614388217000%10100.00%025658843.54%26270537.16%12431639.24%566414664157283135
6Henderson Silver Knights2020000007-71010000005-51010000002-200.00000000201812114223255226147118628300.00%3166.67%025658843.54%26270537.16%12431639.24%566414664157283135
7Hershey Bears10001000321000000000001000100032121.0003690020181215122325522614341422511100.00%110.00%025658843.54%26270537.16%12431639.24%566414664157283135
8Iowa Wild2020000025-31010000001-11010000024-200.000246002018121262232552261451151231200.00%60100.00%025658843.54%26270537.16%12431639.24%566414664157283135
9Laval Rocket1010000012-11010000012-10000000000000.00012300201812121223255226142681025100.00%5180.00%025658843.54%26270537.16%12431639.24%566414664157283135
10Manitoba Moose11000000404110000004040000000000021.00048120120181215722325522614112224200.00%000%025658843.54%26270537.16%12431639.24%566414664157283135
11Milwaukee Admirals22000000927110000005141100000041341.00091726002018121105223255226145515245200.00%10100.00%025658843.54%26270537.16%12431639.24%566414664157283135
12Ontario Reign1000000112-11000000112-10000000000010.5001230020181211422325522614229216300.00%10100.00%025658843.54%26270537.16%12431639.24%566414664157283135
13Providence Bruins1000000134-11000000134-10000000000010.5003690020181212522325522614359424000%20100.00%125658843.54%26270537.16%12431639.24%566414664157283135
14Rockford IceHogs32000100752220000005231000010023-150.833714210020181211162232552261470286109100.00%30100.00%025658843.54%26270537.16%12431639.24%566414664157283135
15San Jose Barracuda1010000004-4000000000001010000004-400.0000000020181211022325522614337821400.00%4250.00%025658843.54%26270537.16%12431639.24%566414664157283135
16Springfield Thunderbirds1010000003-3000000000001010000003-300.0000000020181216223255226142810816100.00%40100.00%025658843.54%26270537.16%12431639.24%566414664157283135
17Texas Stars1010000002-2000000000001010000002-200.00000000201812110223255226142710613400.00%20100.00%025658843.54%26270537.16%12431639.24%566414664157283135
18Tucson Roadrunners1010000023-1000000000001010000023-100.00024600201812156223255226142711422300.00%20100.00%025658843.54%26270537.16%12431639.24%566414664157283135
19Utica Comets1010000023-1000000000001010000023-100.000235002018121192232552261422115154125.00%000%025658843.54%26270537.16%12431639.24%566414664157283135
Total25912011025152-11374000023322111228011001830-12230.46051991500220181217132232552261467020710956337410.81%50786.00%125658843.54%26270537.16%12431639.24%566414664157283135
_Since Last GM Reset25912011025152-11374000023322111228011001830-12230.46051991500220181217132232552261467020710956337410.81%50786.00%125658843.54%26270537.16%12431639.24%566414664157283135
_Vs Conference18610001013040-1084300001171521027001001325-12140.38930588800201812145522325522614504154804042613.85%39587.18%025658843.54%26270537.16%12431639.24%566414664157283135
_Vs Division12530010025223631000001569622001001016-6110.45825497401201812140422325522614297102462861500.00%21290.48%025658843.54%26270537.16%12431639.24%566414664157283135

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2523SOL1519915071367020710956302
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2591211025152
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
137400023322
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
122811001830
Derniers 10 matchs
WLOTWOTL SOWSOL
261001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
37410.81%50786.00%1
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
223255226142018121
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
25658843.54%26270537.16%12431639.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
566414664157283135


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
510Bridgeport Islanders1Cleveland Monsters4WSommaire du match
732Milwaukee Admirals1Cleveland Monsters5WSommaire du match
1159Cleveland Monsters2Utica Comets3LSommaire du match
1370Bridgeport Islanders0Cleveland Monsters4WSommaire du match
1481Cleveland Monsters0Springfield Thunderbirds3LSommaire du match
17101Providence Bruins4Cleveland Monsters3LXXSommaire du match
19115Cleveland Monsters2Tucson Roadrunners3LSommaire du match
21125Cleveland Monsters2Rockford IceHogs3LXSommaire du match
23143Cleveland Monsters4Milwaukee Admirals1WSommaire du match
24148Henderson Silver Knights5Cleveland Monsters0LSommaire du match
26171Cleveland Monsters0Texas Stars2LSommaire du match
28181Laval Rocket2Cleveland Monsters1LSommaire du match
30199Cleveland Monsters2Grand Rapids Griffins1WSommaire du match
32215Rockford IceHogs1Cleveland Monsters2WSommaire du match
35236Manitoba Moose0Cleveland Monsters4WSommaire du match
37249Cleveland Monsters3Hershey Bears2WXSommaire du match
38259Cleveland Monsters1Coachella Valley Firebirds2LSommaire du match
41278Iowa Wild1Cleveland Monsters0LSommaire du match
43294Cleveland Monsters2Iowa Wild4LSommaire du match
45306Colorado Eagles2Cleveland Monsters1LSommaire du match
47328Cleveland Monsters0San Jose Barracuda4LSommaire du match
48341Rockford IceHogs1Cleveland Monsters3WSommaire du match
53365Bakersfield Condors2Cleveland Monsters5WSommaire du match
58388Cleveland Monsters0Henderson Silver Knights2LSommaire du match
60399Ontario Reign2Cleveland Monsters1LXXSommaire du match
62422Rochester Americans-Cleveland Monsters-
65440Cleveland Monsters-Charlotte Checkers-
67457Belleville Senators-Cleveland Monsters-
71477Cleveland Monsters-Chicago Wolves-
73488Henderson Silver Knights-Cleveland Monsters-
76514Cleveland Monsters-Laval Rocket-
78523Coachella Valley Firebirds-Cleveland Monsters-
80542Cleveland Monsters-Tucson Roadrunners-
85550San Diego Gulls-Cleveland Monsters-
88563Cleveland Monsters-Bridgeport Islanders-
90583Cleveland Monsters-Ontario Reign-
91593Abbotsford Canucks-Cleveland Monsters-
94612Henderson Silver Knights-Cleveland Monsters-
97636Cleveland Monsters-Abbotsford Canucks-
98647Cleveland Monsters-Rockford IceHogs-
100659Texas Stars-Cleveland Monsters-
102678Cleveland Monsters-Calgary Wranglers-
104693Springfield Thunderbirds-Cleveland Monsters-
106710Milwaukee Admirals-Cleveland Monsters-
109734Cleveland Monsters-Henderson Silver Knights-
110745Syracuse Crunch-Cleveland Monsters-
113760Cleveland Monsters-Toronto Marlies-
115776Calgary Wranglers-Cleveland Monsters-
117794Cleveland Monsters-Texas Stars-
118806Providence Bruins-Cleveland Monsters-
122827Cleveland Monsters-San Diego Gulls-
125836Cleveland Monsters-Grand Rapids Griffins-
126848Springfield Thunderbirds-Cleveland Monsters-
129867Cleveland Monsters-Springfield Thunderbirds-
142880Bridgeport Islanders-Cleveland Monsters-
146903Bridgeport Islanders-Cleveland Monsters-
148915Cleveland Monsters-Bakersfield Condors-
150933Cleveland Monsters-LeHigh Valley Phantoms-
151944Grand Rapids Griffins-Cleveland Monsters-
154960Cleveland Monsters-Colorado Eagles-
156972Providence Bruins-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158985Cleveland Monsters-Milwaukee Admirals-
162999Cleveland Monsters-Springfield Thunderbirds-
1661013Grand Rapids Griffins-Cleveland Monsters-
1691033San Jose Barracuda-Cleveland Monsters-
1741065Tucson Roadrunners-Cleveland Monsters-
1771087Cleveland Monsters-Utica Comets-
1781090Cleveland Monsters-Hartford Wolf Pack-
1801098San Jose Barracuda-Cleveland Monsters-
1821105Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
1861122Cleveland Monsters-Hartford Wolf Pack-
1921141Laval Rocket-Cleveland Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance24,26512,415
Assistance PCT93.33%95.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2822 - 94.05% 93,992$1,221,890$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
262,806$ 1,062,500$ 852,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,477$ 262,806$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,161,805$ 134 5,477$ 733,918$




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