Essayer le nouveau site
Connexion

Monsters
GP: 35 | W: 19 | L: 12 | OTL: 4 | P: 42
GF: 123 | GA: 112 | PP%: 21.21% | PK%: 76.40%
DG: Jean Francois Langelier | Morale : 54 | Moyenne d’équipe : 64
Prochains matchs #572 vs Americans
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Reign
14-17-5, 33pts
3
FINAL
5 Monsters
19-12-4, 42pts
Team Stats
L7SéquenceW2
7-10-1Fiche domicile12-2-4
7-7-4Fiche domicile7-10-0
0-8-2Derniers 10 matchs6-4-0
2.81Buts par match 3.51
3.47Buts contre par match 3.20
21.55%Pourcentage en avantage numérique21.21%
77.66%Pourcentage en désavantage numérique76.40%
Monsters
19-12-4, 42pts
5
FINAL
1 StarsF
19-14-2, 40pts
Team Stats
W2SéquenceL1
12-2-4Fiche domicile10-8-0
7-10-0Fiche domicile9-6-2
6-4-0Derniers 10 matchs6-3-1
3.51Buts par match 3.49
3.20Buts contre par match 3.11
21.21%Pourcentage en avantage numérique26.85%
76.40%Pourcentage en désavantage numérique77.87%
Monsters
19-12-4, 42pts
2024-11-21
Americans
19-15-3, 41pts
Statistiques d’équipe
W2SéquenceW1
12-2-4Fiche domicile12-3-2
7-10-0Fiche visiteur7-12-1
6-4-010 derniers matchs7-3-0
3.51Buts par match 3.54
3.20Buts contre par match 3.54
21.21%Pourcentage en avantage numérique18.18%
76.40%Pourcentage en désavantage numérique73.74%
Crunch
16-17-3, 35pts
2024-11-24
Monsters
19-12-4, 42pts
Statistiques d’équipe
L1SéquenceW2
10-4-3Fiche domicile12-2-4
6-13-0Fiche visiteur7-10-0
5-5-010 derniers matchs6-4-0
3.22Buts par match 3.51
3.31Buts contre par match 3.51
19.71%Pourcentage en avantage numérique21.21%
76.15%Pourcentage en désavantage numérique76.40%
Monsters
19-12-4, 42pts
2024-11-26
Rocket
16-15-6, 38pts
Statistiques d’équipe
W2SéquenceW1
12-2-4Fiche domicile9-5-3
7-10-0Fiche visiteur7-10-3
6-4-010 derniers matchs3-5-2
3.51Buts par match 3.08
3.20Buts contre par match 3.08
21.21%Pourcentage en avantage numérique22.22%
76.40%Pourcentage en désavantage numérique77.12%
Meneurs d'équipe
Buts
Joseph Veleno
20
Passes
Jacob Peterson
25
Points
Jacob Peterson
40
Plus/Moins
Alexis Binner
16
Victoires
Malcolm Subban
12
Pourcentage d’arrêts
Jaroslav Janus
0.897

Statistiques d’équipe
Buts pour
123
3.51 GFG
Tirs pour
1164
33.26 Avg
Pourcentage en avantage numérique
21.2%
28 GF
Début de zone offensive
43.5%
Buts contre
112
3.20 GAA
Tirs contre
945
27.00 Avg
Pourcentage en désavantage numérique
76.4%%
21 GA
Début de la zone défensive
36.5%
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
Assistance1,996
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 56
Espoirs16


Historique d'équipe

Saison actuelle19-12-4 (42PTS)
Historique66-44-16 (0.524%)
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)X97.007966877373789174737272766859486868670242900,000$
2Jacob PetersonXX100.0060459376718087747671727271625268626702511,700,000$
3Joseph Veleno (A)X98.007445877372769274737373776564486870670242900,000$
4Sergey TolchinskyXX100.0071478372657375756072757167686254596702922,000,000$
5Steven LorentzXX100.0064459474737987727170707068665358526702811,700,000$
6Sam LaffertyXX100.0074468372707486727374727270645256606702922,000,000$
7Dominic ToninatoXX100.0071458772737479726975687166604853656603021,725,000$
8Vyacheslav LeshchenkoXX100.0072458375677576716770716662645754646602921,700,000$
9Lukas SedlakXX100.0075588169726778766871717169645750616603121,700,000$
10Tomas NosekX100.0063509172737477717868687266715550496603221,700,000$
11Linden VeyXX100.0063458971697481696369686665615247576403321,250,000$
12David DesharnaisX100.005845946666666866736565696274772544630381900,000$
13Victor Mete (C)X100.006245937667768673457662765673496068670261900,000$
14Sam Malinski (R)X100.006645898169727376457471726545456051660261900,000$
15Kaedan Korczak (R)X100.007145897672767376457466736045457064660233900,000$
16Sebastian Aho (DEF)X99.8966458275677490744573677459595254496602811,700,000$
17Victor AntipinX100.0061469472686981704571677265654850646503131,500,000$
18Alexis BinnerX100.0063488476766873714566666957605264666402521,000,000$
Rayé
1Teemu PulkkinenXX100.0057449671697173726069717166574947226303221,100,000$
2Seth GriffithXX100.0060449170697177696368687066574750196303121,100,000$
3Jordan SzwarzXX100.006947886970687369616768696665544637630321800,000$
4Michal RepikXX100.0060439370706576686666676665564734206203521,100,000$
5Dan SextonXX100.0061439770667169676466666865544925206203721,100,000$
6Jordan SchroederX100.005543976967696867656665686459504221610341900,000$
7Danick PaquetteX100.0062488868736965646361606260454542205903421,000,000$
8Kevin GravelX100.006045957074677069456664716257464620630321800,000$
9Tyler CumaX100.0061458773716764704571627362515138226303411,250,000$
10Matt BartkowskiX100.0063499268706866674565627262645230196303611,250,000$
11Nico Gross (R)X100.006945807269707069456362735645457031620243750,000$
12Mark KaticX100.0059439670697177694568656862484634206203521,000,000$
MOYENNE D’ÉQUIPE99.80654789727072777159696771645951504564
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 Subban99.008079778081758379808282677053576703011,600,000$
2Jaroslav Janus100.007678777677788280818177465138606303521,050,000$
Rayé
1Brent Moran100.00798468817667857070777546475736600281750,000$
MOYENNE D’ÉQUIPE99.6778807479787383767780785356495163
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
1Jacob PetersonMonsters (Clb)LW/RW3515254012401443112306613.39%865218.65781524113000001157.14%7000101.2301000212
2Joseph VelenoMonsters (Clb)C3520204012604867124296616.13%1171520.447815271120002604152.18%91600001.1201000543
3Sergey TolchinskyMonsters (Clb)LW/RW3520193981555432114286417.54%563118.03771430112000002145.83%4800011.2400010412
4Victor MeteMonsters (Clb)D3521719-716018475818313.45%4378822.5417831112000066000%000000.4800000021
5Alexis BinnerMonsters (Clb)D35217191621526292810217.14%3861117.4700023000133000%000000.6200100010
6Kaedan KorczakMonsters (Clb)D3531619-1324053295519265.45%4477022.0216730110000062100%000000.4900000001
7Sebastian Aho (DEF)Monsters (Clb)D3531518224036304215417.14%3970620.190442593000058100%000000.5100000011
8Victor AntipinMonsters (Clb)D35117181315523142412154.17%2460417.2800041600002100%000000.6000001022
9Jack McbainMonsters (Clb)C3471017-14120487910231846.86%1468520.1720225970002551052.22%81200000.5003000011
10Dominic ToninatoMonsters (Clb)LW/RW3551015-18032317421596.76%749314.11000015000080061.36%4400000.6100000300
11Vyacheslav LeshchenkoMonsters (Clb)LW/RW358715-980532080235110.00%255615.91112653000002032.69%5200010.5400000111
12Tomas NosekMonsters (Clb)C35751263620216754204512.96%749314.11000000001701154.56%63600000.4900130020
13Sam MalinskiMonsters (Clb)D2311011-810027212615223.85%2249321.441341755000037000%000000.4500000000
14Nico GrossMonsters (Clb)D1201111560253117110%1225120.99044634000025000%000000.8700000100
15Steven LorentzMonsters (Clb)LW/RW357310400121445183215.56%437610.750001160005712039.29%2800010.5323000200
16Lukas SedlakMonsters (Clb)LW/RW3544826023125015278.00%42527.2100000000021262.50%2400000.6311000011
17Linden VeyMonsters (Clb)LW/RW21257560974015175.00%123711.2900011000121088.24%1700000.5901000001
18Sam LaffertyMonsters (Clb)LW/RW22527-412033115216409.62%437316.980111251000000168.75%1600000.3702000000
19Andrew DesjardinsBlueJacketC3131414091725111312.00%12297.4100000000050057.55%24500000.3500000000
20David DesharnaisMonsters (Clb)C4011100041040%0287.0100000000000062.07%2900000.7100000000
21Jordan SchroederMonsters (Clb)C1000-100032110%02020.7000000000050046.67%150000000000000
Statistiques d’équipe totales ou en moyenne6031152153303023335564580111935473610.28%290997416.5427497624110000001256818753.29%295200130.66312241181716
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)25121120.8783.26139700766240100.600102312001
2Jaroslav JanusMonsters (Clb)157120.8972.7173022333200110.66731223101
Statistiques d’équipe totales ou en moyenne40191240.8853.08212722109944021133535102


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
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
David DesharnaisMonsters (Clb)C381986-09-14No180 Lbs5 ft7NoNoN/ANoYes1Pro & Farm900,000$0$0$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
Jordan SzwarzMonsters (Clb)LW/RW321992-05-14No191 Lbs5 ft10NoNoFree AgentNoYes12024-07-26Pro & Farm800,000$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-------
Sam LaffertyMonsters (Clb)LW/RW291995-03-06No195 Lbs6 ft2NoNoN/ANoNo22024-04-29Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Sam MalinskiMonsters (Clb)D261998-07-27Yes190 Lbs5 ft11NoNoTrade2024-06-20NoNo12024-06-20Pro & Farm900,000$0$0$No------------------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 ft3NoNoTrade2024-11-02NoNo22024-07-07Pro & 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$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3330.30190 Lbs6 ft01.701,231,061$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonJoseph VelenoSergey Tolchinsky30023
2Sam LaffertyJack McbainSteven Lorentz30023
3Vyacheslav LeshchenkoTomas NosekDominic Toninato25023
4Lukas SedlakDavid DesharnaisLinden Vey15023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiVictor Mete35023
2Kaedan KorczakSebastian Aho (DEF)33023
3Victor AntipinAlexis Binner32032
4Sam MalinskiVictor Mete0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonJoseph VelenoSergey Tolchinsky60005
2Sam LaffertyJack McbainSteven Lorentz40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteKaedan Korczak60005
2Sam MalinskiSebastian Aho (DEF)40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tomas NosekSteven Lorentz50050
2Lukas SedlakLinden Vey50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiKaedan Korczak50050
2Victor MeteSebastian Aho (DEF)50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tomas Nosek50050Sam MalinskiKaedan Korczak50050
2Steven Lorentz50050Victor MeteSebastian Aho (DEF)50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joseph VelenoSergey Tolchinsky50023
2Jack McbainJacob Peterson50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiVictor Mete50032
2Kaedan KorczakSebastian 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
Joseph Veleno, Jack Mcbain, Linden Vey, Jacob Peterson, Steven Lorentz
Gardien
#1 : Malcolm Subban, #2 : Jaroslav Janus


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
1Admirals11000000202110000002020000000000021.00024601483733727388401359283012713100.00%10100.00%0684127953.48%592107555.07%31258952.97%873610792258463233
2Barracuda11000000431000000000001100000043121.000471100483733735388401359281934126233.33%2150.00%0684127953.48%592107555.07%31258952.97%873610792258463233
3BruinsF10001000321100010003210000000000021.0003580048373372538840135928332216200.00%10100.00%0684127953.48%592107555.07%31258952.97%873610792258463233
4Canucks1010000024-2000000000001010000024-200.000235004837337263884013592829124184125.00%20100.00%0684127953.48%592107555.07%31258952.97%873610792258463233
5Checkers1010000046-21010000046-20000000000000.0004610004837337333884013592830126134250.00%3233.33%0684127953.48%592107555.07%31258952.97%873610792258463233
6Comets11000000606110000006060000000000021.00061117014837337483884013592819124162150.00%20100.00%0684127953.48%592107555.07%31258952.97%873610792258463233
7Condors31200000880110000006242020000026-420.33381523004837337114388401359288326165720315.00%8362.50%0684127953.48%592107555.07%31258952.97%873610792258463233
8Eagles20200000210-80000000000020200000210-800.000246104837337563884013592871151432900.00%7357.14%0684127953.48%592107555.07%31258952.97%873610792258463233
9Griffins11000000514110000005140000000000021.000591400483733740388401359283098184250.00%3166.67%0684127953.48%592107555.07%31258952.97%873610792258463233
10Gulls2110000078-1000000000002110000078-120.50071320004837337683884013592850178268225.00%4175.00%0684127953.48%592107555.07%31258952.97%873610792258463233
11Icehogs301000111012-2200000118801010000024-230.50010172700483733797388401359287823186011327.27%9188.89%0684127953.48%592107555.07%31258952.97%873610792258463233
12Iowa Wild2010100068-22010100068-20000000000020.5006915004837337733884013592857211143600.00%3166.67%0684127953.48%592107555.07%31258952.97%873610792258463233
13Islanders1010000034-1000000000001010000034-100.000358004837337213884013592840151017600.00%5180.00%0684127953.48%592107555.07%31258952.97%873610792258463233
14Phantoms11000000752110000007520000000000021.0007132000483733749388401359282597172150.00%10100.00%0684127953.48%592107555.07%31258952.97%873610792258463233
15Reign11000000532110000005320000000000021.000581300483733726388401359282510129000%6183.33%0684127953.48%592107555.07%31258952.97%873610792258463233
16Roadrunners2100100010730000000000021001000107341.000102030004837337733884013592844218354125.00%40100.00%0684127953.48%592107555.07%31258952.97%873610792258463233
17Silver Knights1000010045-11000010045-10000000000010.500481200483733732388401359282240155240.00%000%0684127953.48%592107555.07%31258952.97%873610792258463233
18StarsF311010001073100010004312110000064240.66710182800483733710138840135928792637578225.00%10370.00%0684127953.48%592107555.07%31258952.97%873610792258463233
19Thunderbirds4210000117134210000019722110000086250.6251733500048373371213884013592812027475418527.78%13284.62%0684127953.48%592107555.07%31258952.97%873610792258463233
20Wolf Pack11000000211110000002110000000000021.0002350048373372838840135928217419300.00%20100.00%0684127953.48%592107555.07%31258952.97%873610792258463233
21Wolves11000000532000000000001100000053221.0005101500483733734388401359282282104125.00%000%0684127953.48%592107555.07%31258952.97%873610792258463233
22Wranglers1000010012-11000010012-10000000000010.5001230048373373738840135928181617500.00%3166.67%0684127953.48%592107555.07%31258952.97%873610792258463233
Total351412042121231121118820321272531917610010005159-8420.6001232233461248373371164388401359289452922355741322821.21%892176.40%0684127953.48%592107555.07%31258952.97%873610792258463233
_Since Last GM Reset351412042121231121118820321272531917610010005159-8420.6001232233461248373371164388401359289452922355741322821.21%892176.40%0684127953.48%592107555.07%31258952.97%873610792258463233
_Vs Conference28101003212939121351022125039111559010004352-9320.57193170263114837337926388401359287552272004661092321.10%751876.00%0684127953.48%592107555.07%31258952.97%873610792258463233
_Vs Division174200012575708300001229263912000002831-3120.3535710516211483733754838840135928479145142294571119.30%471078.72%0684127953.48%592107555.07%31258952.97%873610792258463233

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3542W2123223346116494529223557412
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3514124212123112
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
188232127253
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1761010005159
Derniers 10 matchs
WLOTWOTL SOWSOL
441010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1322821.21%892176.40%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
388401359284837337
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
684127953.48%592107555.07%31258952.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
873610792258463233


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 - 2024-10-25377Monsters1Condors2ALSommaire du match
55 - 2024-10-27392Phantoms5Monsters7BWSommaire du match
57 - 2024-10-29404Monsters2Thunderbirds5ALSommaire du match
59 - 2024-10-31419Monsters1StarsF3ALSommaire du match
61 - 2024-11-02430Condors2Monsters6BWSommaire du match
64 - 2024-11-05455BruinsF2Monsters3BWXSommaire du match
66 - 2024-11-07463Monsters0Eagles6ALSommaire du match
68 - 2024-11-09485Admirals0Monsters2BWSommaire du match
71 - 2024-11-12505Monsters1Condors4ALSommaire du match
73 - 2024-11-14517Monsters3Islanders4ALSommaire du match
75 - 2024-11-16527Icehogs4Monsters5BWXXSommaire du match
77 - 2024-11-18548Reign3Monsters5BWSommaire du match
78 - 2024-11-19555Monsters5StarsF1AWSommaire du match
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
Assistance24,60211,329
Assistance PCT68.34%62.94%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 1996 - 66.54% 100,216$1,803,884$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,857,001$ 5,592,500$ 5,592,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,814,317$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,304,963$ 106 30,770$ 3,261,620$




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 Veleno1174966115364419222338112.86%45233119.931015256811249252.04%10.9901
2Jacob Peterson117386210026164413936710.35%26215018.381116275800015354.24%00.9317
3Victor Mete11297281636731131595.66%138254322.7141721850220100%00.6400
4Jack Mcbain114324375-1541882543499.17%33230120.1965116710143150.48%00.6527
5Juuso Valimaki82136174136011410012010.83%101189023.058917650221030%00.7800

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 Subban68342270.8923.2137530220118610100.75036
2Jaroslav Janus48251130.8972.7724882411511180210.5006
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
16351412042121231121118820321272531917610010005159-8421232233461248373371164388401359289452922355741322821.21%892176.40%0684127953.48%592107555.07%31258952.97%873610792258463233
Total Saison régulière1175044011255408367415925180524521718730582526060101911801113940874211502714113911219373912151248123176329099176318813907118.21%3137376.68%32193418452.41%1962370852.91%1013195151.92%2891201326658521537777
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