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Monsters
GP: 59 | W: 35 | L: 19 | OTL: 5 | P: 75
GF: 207 | GA: 185 | PP%: 21.13% | PK%: 80.41%
DG: Jean Francois Langelier | Morale : 64 | Moyenne d’équipe : 64
Prochains matchs #978 vs Iowa Wild
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Centre de jeu
Monsters
35-19-5, 75pts
5
FINAL
2 Iowa Wild
31-23-7, 69pts
Team Stats
W2SéquenceL3
21-6-4Fiche domicile18-9-3
14-13-1Fiche domicile13-14-4
5-5-0Derniers 10 matchs3-7-0
3.51Buts par match 3.48
3.14Buts contre par match 3.15
21.13%Pourcentage en avantage numérique21.08%
80.41%Pourcentage en désavantage numérique82.41%
Barracuda
17-39-5, 39pts
2
FINAL
6 Monsters
35-19-5, 75pts
Team Stats
L6SéquenceW2
11-17-2Fiche domicile21-6-4
6-22-3Fiche domicile14-13-1
3-7-0Derniers 10 matchs5-5-0
2.82Buts par match 3.51
3.69Buts contre par match 3.14
18.79%Pourcentage en avantage numérique21.13%
75.56%Pourcentage en désavantage numérique80.41%
Monsters
35-19-5, 75pts
2025-01-18
Iowa Wild
31-23-7, 69pts
Statistiques d’équipe
W2SéquenceL3
21-6-4Fiche domicile18-9-3
14-13-1Fiche visiteur13-14-4
5-5-010 derniers matchs3-7-0
3.51Buts par match 3.48
3.14Buts contre par match 3.48
21.13%Pourcentage en avantage numérique21.08%
80.41%Pourcentage en désavantage numérique82.41%
Gulls
29-23-7, 65pts
2025-01-20
Monsters
35-19-5, 75pts
Statistiques d’équipe
L3SéquenceW2
16-10-5Fiche domicile21-6-4
13-13-2Fiche visiteur14-13-1
4-5-110 derniers matchs5-5-0
3.14Buts par match 3.51
3.25Buts contre par match 3.51
18.13%Pourcentage en avantage numérique21.13%
77.96%Pourcentage en désavantage numérique80.41%
Griffins
40-15-5, 85pts
2025-01-23
Monsters
35-19-5, 75pts
Statistiques d’équipe
SOW1SéquenceW2
24-4-3Fiche domicile21-6-4
16-11-2Fiche visiteur14-13-1
8-1-110 derniers matchs5-5-0
3.47Buts par match 3.51
2.90Buts contre par match 3.51
19.10%Pourcentage en avantage numérique21.13%
73.56%Pourcentage en désavantage numérique80.41%
Meneurs d'équipe
Buts
Joseph Veleno
29
Passes
Jacob Peterson
37
Points
Jacob Peterson
61
Plus/Moins
Alexis Binner
19
Victoires
Malcolm Subban
26
Pourcentage d’arrêts
Jaroslav Janus
0.891

Statistiques d’équipe
Buts pour
207
3.51 GFG
Tirs pour
1905
32.29 Avg
Pourcentage en avantage numérique
21.1%
45 GF
Début de zone offensive
42.4%
Buts contre
185
3.14 GAA
Tirs contre
1616
27.39 Avg
Pourcentage en désavantage numérique
80.4%%
29 GA
Début de la zone défensive
37.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,007
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 56
Espoirs16


Historique d'équipe

Saison actuelle35-19-5 (75PTS)
Historique82-51-18 (0.543%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1 - 4 (0.200%)
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
1Jacob PetersonXX100.0060459376718087747671727271625268776702511,700,000$
2Joseph Veleno (A)X100.007445877372769274737373776564486882670252900,000$
3Sergey TolchinskyXX100.0071478372657375756072757167686254636702922,000,000$
4Steven LorentzXX100.0064459474737987727170707068665358696702811,700,000$
5Sam LaffertyXX100.0074468372707486727374727270645256756702922,000,000$
6Dominic ToninatoXX100.0071458772737479726975687166604853816603021,725,000$
7Vyacheslav LeshchenkoXX100.0072458375677576716770716662645754806602921,700,000$
8Lukas SedlakXX100.0075588169726778766871717169645750776603121,700,000$
9Tomas NosekX100.0063509172737477717868687266715550676603221,700,000$
10Linden VeyXX100.0063458971697481696369686665615247736403321,250,000$
11David DesharnaisX100.005845946666666866736565696274772560630381900,000$
12Jordan SchroederX100.005543976967696867656665686459504221610341900,000$
13Victor Mete (C)X100.006245937667768673457662765673496082670261900,000$
14Sam Malinski (R)X100.006645898169727376457471726545456067660261900,000$
15Kaedan Korczak (R)X100.007145897672767376457466736045457080660233900,000$
16Sebastian Aho (DEF)X100.0066458275677490744573677459595254586602811,700,000$
17Alexis BinnerX100.0063488476766873714566666957605264826402621,000,000$
18Nico Gross (R)X100.006945807269707069456362735645457028620243750,000$
Rayé
1Teemu PulkkinenXX100.0057449671697173726069717166574947196303321,100,000$
2Seth GriffithXX100.0060449170697177696368687066574750196303221,100,000$
3Jordan SzwarzXX100.006947886970687369616768696665544634630321800,000$
4Michal RepikXX100.0060439370706576686666676665564734206203621,100,000$
5Dan SextonXX100.0061439770667169676466666865544925196203721,100,000$
6Danick PaquetteX100.0062488868736965646361606260454542205903421,000,000$
7Victor AntipinX100.0061469472686981704571677265654850686503231,500,000$
8Kevin GravelX100.006045957074677069456664716257464619630321800,000$
9Tyler CumaX100.0061458773716764704571627362515138196303411,250,000$
10Matt BartkowskiX100.0063499268706866674565627262645230196303611,250,000$
11Mark KaticX100.0059439670697177694568656862484634206203521,000,000$
MOYENNE D’ÉQUIPE100.00644690727072767159696770645951505264
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 Subban100.008079778081758379808282677053606703111,600,000$
2Jaroslav Janus100.007678777677788280818177465138816303521,050,000$
Rayé
1Brent Moran100.00798468817667857070777546475729600281750,000$
MOYENNE D’ÉQUIPE100.0078807479787383767780785356495763
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/RW5824376196022611864812112.90%8107918.627142143179000012156.64%11300101.1303000334
2Joseph VelenoMonsters (Clb)C5929316013160701052034412514.29%15119120.2091019411800004946151.37%149500001.0101000595
3Sergey TolchinskyMonsters (Clb)LW/RW572632586241092511624311216.05%6102718.0310112148175000003244.68%9400011.1302011524
4Victor MeteMonsters (Clb)D59103040-10260356298255910.20%60132722.5061117591780000112120%000000.6000000221
5Jack McbainBlueJacketC54112132-1431579123157451387.01%19107319.87336331470002831051.90%128900000.6003010111
6Sam MalinskiMonsters (Clb)D4772330-10140524361324611.48%49103221.96661240119000084210%000000.5800000210
7Alexis BinnerMonsters (Clb)D594263019441049424619338.70%53101517.2100026000149000%000000.5900101010
8Kaedan KorczakMonsters (Clb)D5952429-1240069539032555.56%74127321.58178491740001105100%000000.4600000001
9Sebastian Aho (DEF)Monsters (Clb)D5542428530051425723557.02%68110420.0916734142000073100%000000.5100000012
10Dominic ToninatoMonsters (Clb)LW/RW591115262120465612138919.09%786014.580003460001143061.29%6200000.6000000321
11Victor AntipinMonsters (Clb)D49125261117532173916202.56%3584017.1400041900006100%000000.6200001022
12Tomas NosekMonsters (Clb)C59101323446302610894277110.64%1485114.440000200031181153.25%107800000.5400132220
13Vyacheslav LeshchenkoMonsters (Clb)LW/RW59111122-10120653511430739.65%388715.051127570000193241.10%7300010.5000000122
14Sam LaffertyMonsters (Clb)LW/RW4512921-92405823102337411.76%775416.7705519830000231156.10%4100000.5613000111
15Steven LorentzMonsters (Clb)LW/RW59118193602835100347611.00%780413.6301112770005792049.23%6500010.4735000211
16Lukas SedlakMonsters (Clb)LW/RW59117187140432392275011.96%74617.83000110000213249.21%6300000.7811000123
17Linden VeyMonsters (Clb)LW/RW4588161160151466213312.12%34349.65000230001132068.57%3500000.7401000101
18Nico GrossMonsters (Clb)D26013138804915279170%2652320.120441147000155000%000000.5000000100
19David DesharnaisMonsters (Clb)C28055200424162120%12358.4101107000010057.41%26300000.4200000000
20Andrew DesjardinsBlueJacketC33325240101725111312.00%12377.2000000000070057.59%25700000.4200000000
21Teemu PulkkinenMonsters (Clb)LW/RW2011000000020%12110.790000500000000%200000.9300000000
22Jordan SchroederMonsters (Clb)C3000100043110%04314.6200000000060048.84%430000000000000
23Michal RepikMonsters (Clb)LW/RW1000000000000%000.370000000000000%00000000000000
24Seth GriffithMonsters (Clb)LW/RW1000100101000%01818.5500000000000043.48%230000000000000
Statistiques d’équipe totales ou en moyenne103519836556339380608969531860560127710.65%4641710116.524480124408165800019971331352.54%499600130.66519255303229
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)45261620.8883.0325172112711380100.643144314111
2Jaroslav JanusMonsters (Clb)207330.8912.9494022464210110.66761445101
3Brent MoranMonsters (Clb)22000.8574.00120008560000020000
Statistiques d’équipe totales ou en moyenne67351950.8883.043578431811615021205959212


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 Plafond 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
Alexis BinnerMonsters (Clb)D261998-12-03SWENo212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Brent MoranMonsters (Clb)G281996-07-05CANNo195 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Dan SextonMonsters (Clb)LW/RW371987-04-29USANo156 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Danick PaquetteMonsters (Clb)C341990-07-17CANNo217 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
David DesharnaisMonsters (Clb)C381986-09-14CANNo180 Lbs5 ft7NoNoN/ANoYes1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Dominic ToninatoMonsters (Clb)LW/RW301994-03-09USANo201 Lbs6 ft2NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm1,725,000$0$0$No1,725,000$--------1,725,000$--------No--------Lien
Jacob PetersonMonsters (Clb)LW/RW251999-07-19SWENo170 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Jaroslav JanusMonsters (Clb)G351989-09-21SLONo191 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,050,000$0$0$No1,050,000$--------1,050,000$--------No--------Lien
Jordan SchroederMonsters (Clb)C341990-09-29USANo174 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Jordan SzwarzBlueJacketLW/RW321992-05-14CANNo191 Lbs5 ft10NoNoFree AgentNoYes12024-07-26FalseFalsePro & Farm800,000$800,000$216,216$No---------------------------Lien
Joseph VelenoMonsters (Clb)C252000-01-13CANNo203 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Kaedan KorczakMonsters (Clb)D232001-01-29CANYes201 Lbs6 ft3NoNoProspectNoNo32024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Kevin GravelMonsters (Clb)D321992-03-06USANo205 Lbs6 ft4NoNoFree AgentNoNo12024-07-22FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Linden VeyMonsters (Clb)LW/RW331991-07-17CANNo194 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Lukas SedlakMonsters (Clb)LW/RW311993-02-25CZENo205 Lbs6 ft0NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Malcolm SubbanMonsters (Clb)G311993-12-21USANo215 Lbs6 ft2NoNoTrade2024-01-13NoNo1FalseFalsePro & Farm1,600,000$0$0$No---------------------------Lien
Mark KaticMonsters (Clb)D351989-05-09CANNo180 Lbs5 ft10NoNoTrade2024-01-27NoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Matt BartkowskiMonsters (Clb)D361988-06-04USANo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Michal RepikMonsters (Clb)LW/RW361988-12-31CZENo191 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Nico GrossMonsters (Clb)D242000-01-26SUIYes183 Lbs6 ft1NoNoProspectNoNo32024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Sam LaffertyMonsters (Clb)LW/RW291995-03-06USANo195 Lbs6 ft2NoNoN/ANoNo22024-04-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Sam MalinskiMonsters (Clb)D261998-07-27USAYes190 Lbs5 ft11NoNoTrade2024-06-20NoNo12024-06-20FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Sebastian Aho (DEF)Monsters (Clb)D281996-02-17SWENo177 Lbs5 ft11NoNoTrade2024-01-27NoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Sergey TolchinskyMonsters (Clb)LW/RW291995-02-03RUSNo156 Lbs5 ft8NoNoN/ANoNo22024-04-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Seth GriffithMonsters (Clb)LW/RW321993-01-04CANNo190 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Steven LorentzMonsters (Clb)LW/RW281996-04-13CANNo192 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Teemu PulkkinenMonsters (Clb)LW/RW331992-01-02FINNo187 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Tomas NosekMonsters (Clb)C321992-09-01CZENo205 Lbs6 ft3NoNoTrade2024-11-02NoNo22024-07-07FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Tyler CumaMonsters (Clb)D341990-01-19CANNo187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Victor AntipinMonsters (Clb)D321992-12-06KAZNo171 Lbs5 ft10NoNoFree AgentNoNo32024-07-12FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Victor MeteMonsters (Clb)D261998-06-07CANNo187 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Vyacheslav LeshchenkoMonsters (Clb)LW/RW291995-04-24RUSNo160 Lbs6 ft0NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3230.72189 Lbs6 ft01.691,241,406$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonJoseph VelenoSergey Tolchinsky32023
2Steven LorentzTomas NosekDominic Toninato29023
3Vyacheslav LeshchenkoDavid DesharnaisSam Lafferty26023
4Linden VeyJordan SchroederLukas Sedlak13023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteSam Malinski35023
2Kaedan KorczakSebastian Aho (DEF)33023
3Nico GrossAlexis Binner32032
4Victor MeteSam Malinski0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonJoseph VelenoSergey Tolchinsky60005
2Steven LorentzJordan SchroederDominic Toninato40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteSam Malinski60005
2Kaedan KorczakSebastian Aho (DEF)40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tomas NosekSam Lafferty50050
2Jordan SchroederJoseph Veleno50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakNico Gross50050
2Victor MeteSam Malinski50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tomas Nosek50050Kaedan KorczakNico Gross50050
2Joseph Veleno50050Victor MeteSam Malinski50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joseph VelenoSergey Tolchinsky50023
2Jordan SchroederJacob Peterson50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteSam Malinski50032
2Kaedan KorczakSebastian Aho (DEF)50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob PetersonJoseph VelenoSergey TolchinskyVictor MeteSam Malinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan SchroederJoseph VelenoTomas NosekVictor MeteSam Malinski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lukas Sedlak, Joseph Veleno, Dominic ToninatoLukas Sedlak, Joseph VelenoLukas Sedlak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nico Gross, Alexis Binner, Victor MeteAlexis BinnerAlexis Binner, Sebastian Aho (DEF)
Tirs de pénalité
Jacob Peterson, Sergey Tolchinsky, Joseph Veleno, Sam Lafferty, Steven Lorentz
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
1Admirals21000010523210000105230000000000041.0005813017572531066652649583405918927500.00%2150.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
2Americans11000000523000000000001100000052321.0005101500757253103165264958340276216200.00%110.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
3Barracuda4310000017152211000009902200000086260.7501732490075725310146652649583409114164213430.77%7271.43%01111210652.75%1007185454.31%522100451.99%146210171336437783396
4BruinsF10001000321100010003210000000000021.00035800757253102565264958340332216200.00%10100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
5Canucks2010000169-3000000000002010000169-310.250610160075725310616526495834066254306233.33%20100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
6Checkers1010000046-21010000046-20000000000000.00046100075725310336526495834030126134250.00%3233.33%01111210652.75%1007185454.31%522100451.99%146210171336437783396
7Comets11000000606110000006060000000000021.000611170175725310486526495834019124162150.00%20100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
8Condors42200000141312200000012752020000026-440.50014264000757253101466526495834011736247422313.64%12375.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
9Crunch10001000211100010002110000000000021.00024600757253103565264958340193416300.00%20100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
10Eagles40400000416-122020000026-420200000210-800.00048121075725310110652649583401373631571400.00%13376.92%01111210652.75%1007185454.31%522100451.99%146210171336437783396
11Griffins2110000067-1110000005141010000016-520.5006111700757253106565264958340571821306233.33%7271.43%01111210652.75%1007185454.31%522100451.99%146210171336437783396
12Gulls3210000012120110000005412110000078-140.667122032007572531099652649583407727144312325.00%7185.71%01111210652.75%1007185454.31%522100451.99%146210171336437783396
13Icehogs411000111516-1200000118802110000078-150.62515274200757253101326526495834010725227717529.41%11190.91%01111210652.75%1007185454.31%522100451.99%146210171336437783396
14Iowa Wild42101000151143110100010911100000052360.75015223700757253101356526495834010631217913215.38%8187.50%01111210652.75%1007185454.31%522100451.99%146210171336437783396
15Islanders1010000034-1000000000001010000034-100.0003580075725310216526495834040151017600.00%5180.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
16Marlies1010000023-1000000000001010000023-100.000235007572531021652649583402871514700.00%4250.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
17PenguinsF11000000422110000004220000000000021.00047110075725310296526495834027128196233.33%4175.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
18Phantoms11000000752110000007520000000000021.00071320007572531049652649583402597172150.00%10100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
19Reign11000000532110000005320000000000021.0005813007572531026652649583402510129000%6183.33%01111210652.75%1007185454.31%522100451.99%146210171336437783396
20Roadrunners2100100010730000000000021001000107341.0001020300075725310736526495834044218354125.00%40100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
21Rocket11000000303000000000001100000030321.000369017572531026652649583402651185120.00%30100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
22Silver Knights421001001616020100100912-32200000074350.62516294500757253101116526495834010025154712433.33%50100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
23StarsF4210100014104210010008622110000064260.75014264000757253101406526495834011335417112433.33%12375.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
24Thunderbirds4210000117134210000019722110000086250.62517335000757253101216526495834012027475418527.78%13284.62%01111210652.75%1007185454.31%522100451.99%146210171336437783396
25Wolf Pack11000000211110000002110000000000021.00023500757253102865264958340217419300.00%20100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
26Wolves21100000651000000000002110000065120.500612180075725310586526495834048158269111.11%30100.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
27Wranglers21000100440210001004400000000000030.750481200757253107065264958340541318348225.00%8275.00%01111210652.75%1007185454.31%522100451.99%146210171336437783396
Total592819052232071852231156042221199524281313010018890-2750.636207373580137572531019056526495834016164663849062134521.13%1482980.41%01111210652.75%1007185454.31%522100451.99%146210171336437783396
_Since Last GM Reset592819052232071852231156042221199524281313010018890-2750.636207373580137572531019056526495834016164663849062134521.13%1482980.41%01111210652.75%1007185454.31%522100451.99%146210171336437783396
_Vs Conference4621150322316015462411502222917813221010010016976-7570.620160288448117572531015016526495834012733613037091623722.84%1172281.20%01111210652.75%1007185454.31%522100451.99%146210171336437783396
_Vs Division245300022807551330000224238411230000038371160.33380144224117572531077765264958340686193179400831720.48%631182.54%01111210652.75%1007185454.31%522100451.99%146210171336437783396

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5975W22073735801905161646638490613
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5928195223207185
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31156422211995
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28131310018890
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2134521.13%1482980.41%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
6526495834075725310
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
1111210652.75%1007185454.31%522100451.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
146210171336437783396


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 - 2024-09-051Iowa Wild5Monsters2LSommaire du match
5 - 2024-09-0930Monsters3Gulls7LSommaire du match
7 - 2024-09-1144StarsF3Monsters4WXSommaire du match
10 - 2024-09-1467Silver Knights5Monsters4LXSommaire du match
12 - 2024-09-1686Monsters2Icehogs4LSommaire du match
13 - 2024-09-1797Wranglers2Monsters1LXSommaire du match
17 - 2024-09-21123Monsters5Roadrunners3WSommaire du match
18 - 2024-09-22134Icehogs4Monsters3LXXSommaire du match
21 - 2024-09-25153Monsters4Gulls1WSommaire du match
23 - 2024-09-27164Griffins1Monsters5WSommaire du match
25 - 2024-09-29182Monsters2Canucks4LSommaire du match
27 - 2024-10-01196Thunderbirds3Monsters2LXXSommaire du match
29 - 2024-10-03211Monsters6Thunderbirds1WSommaire du match
31 - 2024-10-05227Monsters5Wolves3WSommaire du match
33 - 2024-10-07236Monsters4Barracuda3WSommaire du match
35 - 2024-10-09248Iowa Wild3Monsters4WXSommaire du match
38 - 2024-10-12269Thunderbirds4Monsters7WSommaire du match
40 - 2024-10-14285Monsters2Eagles4LSommaire du match
42 - 2024-10-16301Wolf Pack1Monsters2WSommaire du match
45 - 2024-10-19319Monsters5Roadrunners4WXSommaire du match
47 - 2024-10-21333Checkers6Monsters4LSommaire du match
50 - 2024-10-24356Comets0Monsters6WSommaire du match
53 - 2024-10-27377Monsters1Condors2LSommaire du match
55 - 2024-10-29392Phantoms5Monsters7WSommaire du match
57 - 2024-10-31404Monsters2Thunderbirds5LSommaire du match
59 - 2024-11-02419Monsters1StarsF3LSommaire du match
61 - 2024-11-04430Condors2Monsters6WSommaire du match
64 - 2024-11-07455BruinsF2Monsters3WXSommaire du match
66 - 2024-11-09463Monsters0Eagles6LSommaire du match
68 - 2024-11-11485Admirals0Monsters2WSommaire du match
71 - 2024-11-14505Monsters1Condors4LSommaire du match
73 - 2024-11-16517Monsters3Islanders4LSommaire du match
75 - 2024-11-18527Icehogs4Monsters5WXXSommaire du match
77 - 2024-11-20548Reign3Monsters5WSommaire du match
78 - 2024-11-21555Monsters5StarsF1WSommaire du match
80 - 2024-11-23572Monsters5Americans2WSommaire du match
83 - 2024-11-26589Crunch1Monsters2WXSommaire du match
85 - 2024-11-28608Monsters3Rocket0WSommaire du match
86 - 2024-11-29619Monsters1Griffins6LSommaire du match
88 - 2024-12-01630Iowa Wild1Monsters4WSommaire du match
90 - 2024-12-03652Gulls4Monsters5WSommaire du match
93 - 2024-12-06669Monsters5Icehogs4WSommaire du match
95 - 2024-12-08684Condors5Monsters6WSommaire du match
98 - 2024-12-11705Monsters1Wolves2LSommaire du match
100 - 2024-12-13717Wranglers2Monsters3WSommaire du match
102 - 2024-12-15739Monsters4Silver Knights3WSommaire du match
104 - 2024-12-17747Admirals2Monsters3WXXSommaire du match
106 - 2024-12-19763Monsters4Canucks5LXXSommaire du match
108 - 2024-12-21779StarsF3Monsters4WSommaire du match
111 - 2024-12-24796Monsters2Marlies3LSommaire du match
114 - 2024-12-27815Eagles4Monsters1LSommaire du match
117 - 2024-12-30840Barracuda7Monsters3LSommaire du match
120 - 2025-01-02864Monsters3Silver Knights1WSommaire du match
121 - 2025-01-03874PenguinsF2Monsters4WSommaire du match
125 - 2025-01-07902Eagles2Monsters1LSommaire du match
128 - 2025-01-10923Monsters4Barracuda3WSommaire du match
129 - 2025-01-11933Silver Knights7Monsters5LSommaire du match
131 - 2025-01-13948Monsters5Iowa Wild2WSommaire du match
133 - 2025-01-15966Barracuda2Monsters6WSommaire du match
136 - 2025-01-18978Monsters-Iowa Wild-
138 - 2025-01-20996Gulls-Monsters-
141 - 2025-01-231025Griffins-Monsters-
145 - 2025-01-271054Monsters-Admirals-
146 - 2025-01-281058Roadrunners-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-311084Monsters-Admirals-
150 - 2025-02-011089SenatorsF-Monsters-
153 - 2025-02-041114Monsters-Moose-
155 - 2025-02-061123Reign-Monsters-
156 - 2025-02-071134Monsters-SenatorsF-
159 - 2025-02-101154Monsters-Firebirds-
160 - 2025-02-111156Bears-Monsters-
164 - 2025-02-151186StarsF-Monsters-
165 - 2025-02-161190Monsters-Griffins-
168 - 2025-02-191218Roadrunners-Monsters-
169 - 2025-02-201220Monsters-Firebirds-
171 - 2025-02-221225Monsters-Gulls-
173 - 2025-02-241239Monsters-Reign-
175 - 2025-02-261255Canucks-Monsters-
176 - 2025-02-271257Monsters-Wranglers-
177 - 2025-02-281263Monsters-Reign-
180 - 2025-03-031287Monsters-Wranglers-
183 - 2025-03-061303Canucks-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance42,22219,987
Assistance PCT68.10%64.47%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 2007 - 66.89% 100,389$3,112,045$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,377,269$ 4,702,500$ 4,702,500$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,304,306$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,003,885$ 50 25,959$ 1,297,950$




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 Veleno1415877135375421426146012.61%49280819.9212172982112611251.70%10.9601
2Jacob Peterson140477412123185215744110.66%26257718.411122337700016354.55%00.9419
3Victor Mete1361785102346901281998.54%155308122.66921301130220220%00.6600
4Jack Mcbain134365490-1732192984048.91%38268820.0678157510143150.60%00.6727
5Steven Lorentz14138387616109011930612.42%18219115.55611175900058050.60%10.6937

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 Subban88482770.8943.1048742325223750100.75040
2Jaroslav Janus53251340.8952.8526992412812190210.5569
3Brent Moran33000.8863.3318000108800000

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
16592819052232071852231156042221199524281313010018890-275207373580137572531019056526495834016164663849062134521.13%1482980.41%01111210652.75%1007185454.31%522100451.99%146210171336437783396
Total Saison régulière14164510122664924405272322206255264229356932290601122821117172492892138428168174132224480147914961455883961116591222134718818.68%3728178.23%32620501152.28%2377448752.98%1223236651.69%34802420320910321857940
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