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Monsters
GP: 22 | W: 12 | L: 6 | OTL: 4 | P: 28
GF: 82 | GA: 71 | PP%: 23.46% | PK%: 78.43%
DG: Jean Francois Langelier | Morale : 52 | Moyenne d’équipe : 64
Prochains matchs #377 vs Condors
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Centre de jeu
Checkers
15-7-1, 31pts
6
FINAL
4 Monsters
12-6-4, 28pts
Team Stats
L1SéquenceW1
7-3-1Fiche domicile6-2-4
8-4-0Fiche domicile6-4-0
8-2-0Derniers 10 matchs8-2-0
3.61Buts par match 3.73
3.17Buts contre par match 3.23
23.81%Pourcentage en avantage numérique23.46%
77.19%Pourcentage en désavantage numérique78.43%
Comets
7-13-3, 17pts
0
FINAL
6 Monsters
12-6-4, 28pts
Team Stats
L1SéquenceW1
4-5-2Fiche domicile6-2-4
3-8-1Fiche domicile6-4-0
4-5-1Derniers 10 matchs8-2-0
3.00Buts par match 3.73
4.04Buts contre par match 3.23
26.58%Pourcentage en avantage numérique23.46%
75.76%Pourcentage en désavantage numérique78.43%
Monsters
12-6-4, 28pts
2024-10-25
Condors
11-11-2, 24pts
Statistiques d’équipe
W1SéquenceL1
6-2-4Fiche domicile6-5-0
6-4-0Fiche visiteur5-6-2
8-2-010 derniers matchs5-4-1
3.73Buts par match 2.29
3.23Buts contre par match 2.29
23.46%Pourcentage en avantage numérique15.19%
78.43%Pourcentage en désavantage numérique84.26%
Phantoms
9-11-2, 20pts
2024-10-27
Monsters
12-6-4, 28pts
Statistiques d’équipe
W2SéquenceW1
6-5-0Fiche domicile6-2-4
3-6-2Fiche visiteur6-4-0
6-4-010 derniers matchs8-2-0
3.32Buts par match 3.73
4.00Buts contre par match 3.73
18.52%Pourcentage en avantage numérique23.46%
83.61%Pourcentage en désavantage numérique78.43%
Monsters
12-6-4, 28pts
2024-10-29
Thunderbirds
8-14-1, 17pts
Statistiques d’équipe
W1SéquenceW1
6-2-4Fiche domicile4-7-0
6-4-0Fiche visiteur4-7-1
8-2-010 derniers matchs4-6-0
3.73Buts par match 2.78
3.23Buts contre par match 2.78
23.46%Pourcentage en avantage numérique21.54%
78.43%Pourcentage en désavantage numérique82.95%
Meneurs d'équipe
Buts
Sergey Tolchinsky
13
Passes
Jacob Peterson
18
Points
Joseph Veleno
27
Plus/Moins
Joseph Veleno
9
Victoires
Malcolm Subban
7
Pourcentage d’arrêts
Jaroslav Janus
0.88

Statistiques d’équipe
Buts pour
82
3.73 GFG
Tirs pour
746
33.91 Avg
Pourcentage en avantage numérique
23.5%
19 GF
Début de zone offensive
44.1%
Buts contre
71
3.23 GAA
Tirs contre
565
25.68 Avg
Pourcentage en désavantage numérique
78.4%%
11 GA
Début de la zone défensive
35.4%
Informations de l'équipe

Directeur généralJean Francois Langelier
EntraîneurKen Hitchcock
DivisionDivision Centrale
ConférenceConference 2
CapitaineVictor Mete
Assistant #1Joseph Veleno
Assistant #2Jack Mcbain


Informations de l’aréna

Capacité3,000
Assistance2,005
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 56
Espoirs16


Historique d'équipe

Saison actuelle12-6-4 (28PTS)
Historique59-38-15 (0.527%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1-4
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jack Mcbain (A)X99.007966877373789174737272766859486857670242900,000$
2Jacob PetersonXX100.0060459376718087747671727271625268576702511,700,000$
3Joseph Veleno (A)X100.007445877372769274737373776564486857670242900,000$
4Sergey TolchinskyXX100.0071478372657375756072757167686254576702922,000,000$
5Steven LorentzXX100.0064459474737987727170707068665358476702811,700,000$
6Dominic ToninatoXX100.0071458772737479726975687166604853576603021,725,000$
7Vyacheslav LeshchenkoXX100.0072458375677576716770716662645754576602921,700,000$
8Lukas SedlakXX100.0075588169726778766871717169645750576603121,700,000$
9Tomas NosekX100.0063509172737477717868687266715550516603221,700,000$
10Phillip DigiuseppeXX100.0062459470717484706169696967675253576503121,300,000$
11Linden VeyXX100.0063458971697481696369686665615247446403321,250,000$
12Andrew DesjardinsX100.0069598567706877677966666862715625576303821,100,000$
13Victor Mete (C)X100.006245937667768673457662765673496057670261900,000$
14Kaedan Korczak (R)X100.007145897672767376457466736045457057660233900,000$
15Sebastian Aho (DEF)X100.0066458275677490744573677459595254476602811,700,000$
16Victor AntipinX100.0061469472686981704571677265654850586503131,500,000$
17Alexis BinnerX100.0063488476766873714566666957605264606402521,000,000$
18Nico Gross (R)X100.006945807269707069456362735645457039620243750,000$
Rayé
1Teemu PulkkinenXX100.0057449671697173726069717166574947286303221,100,000$
2Seth GriffithXX100.0060449170697177696368687066574750286303121,100,000$
3Michal RepikXX100.0060439370706576686666676665564734286203521,100,000$
4Dan SextonXX100.0061439770667169676466666865544925286203721,100,000$
5Jordan SchroederX100.005543976967696867656665686459504228610341900,000$
6Danick PaquetteX100.0062488868736965646361606260454542285903421,000,000$
7Sam Malinski (R)X90.676645898169727376457471726545456043660261900,000$
8Kevin GravelX100.006045957074677069456664716257464633630321800,000$
9Tyler CumaX100.0061458773716764704571627362515138286303411,250,000$
10Matt BartkowskiX100.0063499268706866674565627262645230286303611,250,000$
11Mark KaticX100.0059439670697177694568656862484634286203521,000,000$
MOYENNE D’ÉQUIPE99.62654790727072777159696771645950504564
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
1Malcolm Subban100.008079778081758379808282677053586703011,600,000$
2Jaroslav Janus100.007678777677788280818177465138536303521,050,000$
Rayé
1Brent Moran100.00798468817667857070777546475739600281750,000$
MOYENNE D’ÉQUIPE100.0078807479787383767780785356495063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock70778461999911CAN744100,000$


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
1Joseph VelenoMonsters (Clb)C22121527920303587164013.79%444820.41461017680002344153.90%57700001.2000000411
2Jacob PetersonMonsters (Clb)LW/RW228182692082768154511.76%741618.9346101568000001160.87%4600001.2500000012
3Sergey TolchinskyMonsters (Clb)LW/RW22131023640332275174417.33%440018.194261968000001140.00%2500011.1500000312
4Victor MeteMonsters (Clb)D2221315-38011303710195.41%1949522.531452065000038000%000000.6100000021
5Kaedan KorczakMonsters (Clb)D2231215-1014035173611198.33%3248922.251451866000033100%000000.6100000001
6Phillip DigiuseppeMonsters (Clb)LW/RW226814-40091332114018.75%236716.691231048000000259.09%2200000.7600000101
7Sebastian Aho (DEF)Monsters (Clb)D221121351802219259234.00%2244120.080331457000029000%000000.5900000011
8Jack McbainMonsters (Clb)C224812-136033526220486.45%1044320.1620212600001330051.76%53900000.5402000010
9Vyacheslav LeshchenkoMonsters (Clb)LW/RW227512-260351350112714.00%234515.72112530000001036.36%2200010.6900000110
10Victor AntipinMonsters (Clb)D221111291351411179125.88%1537717.140003600001100%000000.6400001020
11Sam MalinskiMonsters (Clb)D161910-510019141511186.67%1334421.51134941000020000%000000.5800000000
12Dominic ToninatoMonsters (Clb)LW/RW22459-4401924487428.33%432314.71000013000050056.25%3200000.5600000200
13Alexis BinnerMonsters (Clb)D2218991351919139107.69%2138917.6800023000122000%000000.4600100000
14Steven LorentzMonsters (Clb)LW/RW227184003103181722.58%21978.99000000003402046.15%1300010.8112000200
15Tomas NosekMonsters (Clb)C224374141018443782710.81%531814.48000000000411154.59%39200000.4400020000
16Sam LaffertyBlueJacketLW/RW14426-6100205429279.52%423316.67011930000000169.23%1300000.5101000000
17Nico GrossMonsters (Clb)D6055420823430%812721.17022217000013000%000000.7900000000
18Lukas SedlakMonsters (Clb)LW/RW222355001610338176.06%21597.2600000000000166.67%1200000.6300000011
19Linden VeyMonsters (Clb)LW/RW81122204317645.88%010012.55000100000000100.00%300000.4000000000
20Andrew DesjardinsMonsters (Clb)C22112420611188105.56%01627.3900000000020059.09%17600000.2500000000
Statistiques d’équipe totales ou en moyenne39682150232231302036238174620749210.99%176658216.62193453156648000731612854.01%187200030.7015121131110
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
1Malcolm SubbanMonsters (Clb)147520.8792.997840039323010031210001
2Jaroslav JanusMonsters (Clb)115120.8803.1155921292410110.66731012001
Statistiques d’équipe totales ou en moyenne2512640.8793.041344216856402162222002


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 Plafond 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
Alexis BinnerMonsters (Clb)D251998-12-03No212 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Andrew DesjardinsMonsters (Clb)C381986-07-27No196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Brent MoranMonsters (Clb)G281996-07-05No195 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Dan SextonMonsters (Clb)LW/RW371987-04-29No156 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Danick PaquetteMonsters (Clb)C341990-07-17No217 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Dominic ToninatoMonsters (Clb)LW/RW301994-03-09No201 Lbs6 ft2NoNoFree AgentNoNo22024-07-10Pro & Farm1,725,000$0$0$No1,725,000$--------No--------Lien
Jack McbainMonsters (Clb)C242000-01-06No201 Lbs6 ft3NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Jacob PetersonMonsters (Clb)LW/RW251999-07-19No170 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Jaroslav JanusMonsters (Clb)G351989-09-21No191 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,050,000$0$0$No1,050,000$--------No--------Lien
Jordan SchroederMonsters (Clb)C341990-09-29No174 Lbs5 ft8NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Joseph VelenoMonsters (Clb)C242000-01-13No203 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Kaedan KorczakMonsters (Clb)D232001-01-29Yes201 Lbs6 ft3NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Kevin GravelMonsters (Clb)D321992-03-06No205 Lbs6 ft4NoNoFree AgentNoNo12024-07-22Pro & Farm800,000$0$0$No------------------Lien
Linden VeyMonsters (Clb)LW/RW331991-07-17No194 Lbs5 ft8NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Lukas SedlakMonsters (Clb)LW/RW311993-02-25No205 Lbs6 ft0NoNoFree AgentNoNo22024-07-10Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Malcolm SubbanMonsters (Clb)G301993-12-21No215 Lbs6 ft2NoNoTrade2024-01-13NoNo1Pro & Farm1,600,000$0$0$No------------------Lien
Mark KaticMonsters (Clb)D351989-05-09No180 Lbs5 ft10NoNoTrade2024-01-27NoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Matt BartkowskiMonsters (Clb)D361988-06-04No192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------Lien
Michal RepikMonsters (Clb)LW/RW351988-12-31No191 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Nico GrossMonsters (Clb)D242000-01-26Yes183 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-06-18Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Phillip DigiuseppeMonsters (Clb)LW/RW311993-10-09No193 Lbs6 ft0NoNoFree AgentNoNo22024-07-12Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Sam Malinski (sur la masse salariale)Monsters (Clb)D261998-07-27Yes190 Lbs5 ft11NoNoTrade2024-06-20NoNo12024-06-20Pro & Farm900,000$0$0$Yes------------------Lien
Sebastian Aho (DEF)Monsters (Clb)D281996-02-17No177 Lbs5 ft11NoNoTrade2024-01-27NoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Sergey TolchinskyMonsters (Clb)LW/RW291995-02-03No156 Lbs5 ft8NoNoN/ANoNo22024-04-29Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Seth GriffithMonsters (Clb)LW/RW311993-01-04No190 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Steven LorentzMonsters (Clb)LW/RW281996-04-13No192 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Teemu PulkkinenMonsters (Clb)LW/RW321992-01-02No187 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Tomas NosekMonsters (Clb)C321992-09-01No205 Lbs6 ft3NoNoFree AgentNoNo22024-07-07Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Tyler CumaMonsters (Clb)D341990-01-19 00:01:24No187 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------Lien
Victor AntipinMonsters (Clb)D311992-12-06No171 Lbs5 ft10NoNoFree AgentNoNo32024-07-12Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Victor MeteMonsters (Clb)D261998-06-07No187 Lbs5 ft9NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Vyacheslav LeshchenkoMonsters (Clb)LW/RW291995-04-24No160 Lbs6 ft0NoNoN/ANoNo22024-04-29Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3230.31190 Lbs6 ft01.751,228,906$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonJoseph VelenoSergey Tolchinsky31023
2Phillip DigiuseppeJack McbainVyacheslav Leshchenko31023
3Linden VeyTomas NosekDominic Toninato25023
4Lukas SedlakAndrew DesjardinsSteven Lorentz13023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor AntipinVictor Mete35023
2Kaedan KorczakSebastian Aho (DEF)33023
3Nico GrossAlexis Binner32032
4Victor AntipinVictor Mete0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonJoseph VelenoSergey Tolchinsky60005
2Phillip DigiuseppeJack McbainVyacheslav Leshchenko40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteKaedan Korczak60005
2Nico GrossSebastian Aho (DEF)40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tomas NosekSteven Lorentz50050
2Joseph VelenoJack Mcbain50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteKaedan Korczak50050
2Nico GrossSebastian Aho (DEF)50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tomas Nosek50050Victor MeteKaedan Korczak50050
2Steven Lorentz50050Nico GrossSebastian Aho (DEF)50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McbainVyacheslav Leshchenko50023
2Joseph VelenoJacob Peterson50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakNico Gross50032
2Victor MeteSebastian Aho (DEF)50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph VelenoJack McbainSergey TolchinskyVictor MeteKaedan Korczak
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph VelenoJack McbainJacob PetersonVictor MeteKaedan Korczak
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vyacheslav Leshchenko, Dominic Toninato, Tomas NosekVyacheslav Leshchenko, Dominic ToninatoTomas Nosek
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Antipin, Alexis Binner, Kaedan KorczakVictor AntipinAlexis Binner, Kaedan Korczak
Tirs de pénalité
Steven Lorentz, Jack Mcbain, Linden Vey, Jacob Peterson, Joseph Veleno
Gardien
#1 : Malcolm Subban, #2 : Jaroslav Janus, #3 : 0


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
1Barracuda11000000431000000000001100000043121.000471100322819435240269224181934126233.33%2150.00%043981354.00%37365457.03%19937852.65%551386500162293147
2Canucks1010000024-2000000000001010000024-200.000235003228194262402692241829124184125.00%20100.00%043981354.00%37365457.03%19937852.65%551386500162293147
3Checkers1010000046-21010000046-20000000000000.0004610003228194332402692241830126134250.00%3233.33%043981354.00%37365457.03%19937852.65%551386500162293147
4Comets11000000606110000006060000000000021.00061117013228194482402692241819124162150.00%20100.00%043981354.00%37365457.03%19937852.65%551386500162293147
5Eagles1010000024-2000000000001010000024-200.0002461032281943224026922418315223500.00%10100.00%043981354.00%37365457.03%19937852.65%551386500162293147
6Griffins11000000514110000005140000000000021.000591400322819440240269224183098184250.00%3166.67%043981354.00%37365457.03%19937852.65%551386500162293147
7Gulls2110000078-1000000000002110000078-120.50071320003228194682402692241850178268225.00%4175.00%043981354.00%37365457.03%19937852.65%551386500162293147
8Icehogs2010000158-31000000134-11010000024-210.25059140032281946824026922418571712335120.00%6183.33%043981354.00%37365457.03%19937852.65%551386500162293147
9Iowa Wild2010100068-22010100068-20000000000020.5006915003228194732402692241857211143600.00%3166.67%043981354.00%37365457.03%19937852.65%551386500162293147
10Roadrunners2100100010730000000000021001000107341.000102030003228194732402692241844218354125.00%40100.00%043981354.00%37365457.03%19937852.65%551386500162293147
11Silver Knights1000010045-11000010045-10000000000010.500481200322819432240269224182240155240.00%000%043981354.00%37365457.03%19937852.65%551386500162293147
12StarsF10001000431100010004310000000000021.000471100322819433240269224182510142011100.00%6266.67%043981354.00%37365457.03%19937852.65%551386500162293147
13Thunderbirds320000011587210000019721100000061550.83315294400322819486240269224189117394415320.00%10190.00%043981354.00%37365457.03%19937852.65%551386500162293147
14Wolf Pack11000000211110000002110000000000021.0002350032281942824026922418217419300.00%20100.00%043981354.00%37365457.03%19937852.65%551386500162293147
15Wolves11000000532000000000001100000053221.0005101500322819434240269224182282104125.00%000%043981354.00%37365457.03%19937852.65%551386500162293147
16Wranglers1000010012-11000010012-10000000000010.5001230032281943724026922418181617500.00%3166.67%043981354.00%37365457.03%19937852.65%551386500162293147
Total2296032028271111242022024437710540100038344280.6368215023211322819474624026922418565176132362811923.46%511178.43%043981354.00%37365457.03%19937852.65%551386500162293147
_Since Last GM Reset2296032028271111242022024437710540100038344280.6368215023211322819474624026922418565176132362811923.46%511178.43%043981354.00%37365457.03%19937852.65%551386500162293147
_Vs Conference1865032026561492102202323029440100033312220.6116512018510322819460324026922418473137116304681522.06%44979.55%043981354.00%37365457.03%19937852.65%551386500162293147
_Vs Division113100002423846200000222220511000002016480.364427812010322819436524026922418305918619836616.67%30583.33%043981354.00%37365457.03%19937852.65%551386500162293147

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2228W18215023274656517613236211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
229632028271
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124222024437
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
105410003834
Derniers 10 matchs
WLOTWOTL SOWSOL
622000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
811923.46%511178.43%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
240269224183228194
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
43981354.00%37365457.03%19937852.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
551386500162293147


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2024-09-031Iowa Wild5Monsters2BLSommaire du match
5 - 2024-09-0730Monsters3Gulls7ALSommaire du match
7 - 2024-09-0944StarsF3Monsters4BWXSommaire du match
10 - 2024-09-1267Silver Knights5Monsters4BLXSommaire du match
12 - 2024-09-1486Monsters2Icehogs4ALSommaire du match
13 - 2024-09-1597Wranglers2Monsters1BLXSommaire du match
17 - 2024-09-19123Monsters5Roadrunners3AWSommaire du match
18 - 2024-09-20134Icehogs4Monsters3BLXXSommaire du match
21 - 2024-09-23153Monsters4Gulls1AWSommaire du match
23 - 2024-09-25164Griffins1Monsters5BWSommaire du match
25 - 2024-09-27182Monsters2Canucks4ALSommaire du match
27 - 2024-09-29196Thunderbirds3Monsters2BLXXSommaire du match
29 - 2024-10-01211Monsters6Thunderbirds1AWSommaire du match
31 - 2024-10-03227Monsters5Wolves3AWSommaire du match
33 - 2024-10-05236Monsters4Barracuda3AWSommaire du match
35 - 2024-10-07248Iowa Wild3Monsters4BWXSommaire du match
38 - 2024-10-10269Thunderbirds4Monsters7BWSommaire du match
40 - 2024-10-12285Monsters2Eagles4ALSommaire du match
42 - 2024-10-14301Wolf Pack1Monsters2BWSommaire du match
45 - 2024-10-17319Monsters5Roadrunners4AWXSommaire du match
47 - 2024-10-19333Checkers6Monsters4BLSommaire du match
50 - 2024-10-22356Comets0Monsters6BWSommaire du match
53 - 2024-10-25377Monsters-Condors-
55 - 2024-10-27392Phantoms-Monsters-
57 - 2024-10-29404Monsters-Thunderbirds-
59 - 2024-10-31419Monsters-StarsF-
61 - 2024-11-02430Condors-Monsters-
64 - 2024-11-05455BruinsF-Monsters-
66 - 2024-11-07463Monsters-Eagles-
68 - 2024-11-09485Admirals-Monsters-
71 - 2024-11-12505Monsters-Condors-
73 - 2024-11-14517Monsters-Islanders-
75 - 2024-11-16527Icehogs-Monsters-
77 - 2024-11-18548Reign-Monsters-
78 - 2024-11-19555Monsters-StarsF-
80 - 2024-11-21572Monsters-Americans-
83 - 2024-11-24589Crunch-Monsters-
85 - 2024-11-26608Monsters-Rocket-
86 - 2024-11-27619Monsters-Griffins-
88 - 2024-11-29630Iowa Wild-Monsters-
90 - 2024-12-01652Gulls-Monsters-
93 - 2024-12-04669Monsters-Icehogs-
95 - 2024-12-06684Condors-Monsters-
98 - 2024-12-09705Monsters-Wolves-
100 - 2024-12-11717Wranglers-Monsters-
102 - 2024-12-13739Monsters-Silver Knights-
104 - 2024-12-15747Admirals-Monsters-
106 - 2024-12-17763Monsters-Canucks-
108 - 2024-12-19779StarsF-Monsters-
111 - 2024-12-22796Monsters-Marlies-
114 - 2024-12-25815Eagles-Monsters-
117 - 2024-12-28840Barracuda-Monsters-
120 - 2024-12-31864Monsters-Silver Knights-
121 - 2025-01-01874PenguinsF-Monsters-
125 - 2025-01-05902Eagles-Monsters-
128 - 2025-01-08923Monsters-Barracuda-
129 - 2025-01-09933Silver Knights-Monsters-
131 - 2025-01-11948Monsters-Iowa Wild-
133 - 2025-01-13966Barracuda-Monsters-
136 - 2025-01-16978Monsters-Iowa Wild-
138 - 2025-01-18996Gulls-Monsters-
141 - 2025-01-211025Griffins-Monsters-
145 - 2025-01-251054Monsters-Admirals-
146 - 2025-01-261058Roadrunners-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-291084Monsters-Admirals-
150 - 2025-01-301089SenatorsF-Monsters-
153 - 2025-02-021114Monsters-Moose-
155 - 2025-02-041123Reign-Monsters-
156 - 2025-02-051134Monsters-SenatorsF-
159 - 2025-02-081154Monsters-Firebirds-
160 - 2025-02-091156Bears-Monsters-
164 - 2025-02-131186StarsF-Monsters-
165 - 2025-02-141190Monsters-Griffins-
168 - 2025-02-171218Roadrunners-Monsters-
169 - 2025-02-181220Monsters-Firebirds-
171 - 2025-02-201225Monsters-Gulls-
173 - 2025-02-221239Monsters-Reign-
175 - 2025-02-241255Canucks-Monsters-
176 - 2025-02-251257Monsters-Wranglers-
177 - 2025-02-261263Monsters-Reign-
180 - 2025-03-011287Monsters-Wranglers-
183 - 2025-03-041303Canucks-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance16,4677,594
Assistance PCT68.61%63.28%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 2005 - 66.84% 100,645$1,207,735$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,112,769$ 3,842,500$ 3,842,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,085,762$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,918,693$ 135 21,311$ 2,876,985$




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
1Joseph Veleno1044161102334017419134411.92%38206519.86713205811249252.43%10.9900
2Jacob Peterson1043155862314381233239.60%25191418.41814224900015354.90%00.9016
3Victor Mete9996877102866961386.52%114224922.7341418740220100%00.6800
4Juuso Valimaki82136174136011410012010.83%101189023.058917650221030%00.7800
5Jack Mcbain1022941700481732273099.39%29205920.1965115410132150.21%00.6826

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
1Malcolm Subban57291670.8953.1331410216415600100.72429
2Jaroslav Janus44231130.8932.8723172311110390210.5006
3Brent Moran11000.9382.00600023200000

Monsters Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
158236320704328525530411716020331451341141191605010140121199728551980415931027912257582784787248234569952813072584316.67%2245276.79%31509290551.94%1370263352.03%701136251.47%2017140218735941074544
162296032028271111242022024437710540100038344288215023211322819474624026922418565176132362811923.46%511178.43%043981354.00%37365457.03%19937852.65%551386500162293147
Total Saison régulière104453801024536732641532118042351891711851242006010178155231253676691036261251309816332110671116109666291087566016693396218.29%2756377.09%31948371852.39%1743328753.03%900174051.72%2568178923737571367691
Séries éliminatoires
15514000001418-42020000046-2312000001012-22142438004640134553544015043439015320.00%18666.67%06515541.94%8516850.60%437954.43%11073124396633
Total Séries éliminatoires514000001418-42020000046-2312000001012-22142438004640134553544015043439015320.00%18666.67%06515541.94%8516850.60%437954.43%11073124396633

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
1Vyacheslav Leshchenko5235141041315.38%08016.06011200000025.00%01.2500
2Victor Mete5044104480%1111322.6301110000000%00.7100
3Jack Mcbain5314147111520.00%09619.23101200000049.59%00.8300
4Michal Repik51232004714.29%0428.5100000000000%01.4100
5Jonathan Racine5033-248570%510521.1801130000000%00.5700

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
1Jaroslav Janus21000.8892.86840043600000
2Malcolm Subban40220.8773.89216001411400000