Connexion

Monsters
GP: 12 | W: 1 | L: 7 | OTL: 4 | P: 6
GF: 22 | GA: 45 | PP%: 10.42% | PK%: 71.43%
DG: Simon Bilodeau | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #145 vs Griffins
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Centre de jeu
Comets
5-6-1, 11pts
7
FINAL
1 Monsters
1-7-4, 6pts
Team Stats
OTL1SéquenceOTL1
1-4-1Fiche domicile1-2-2
4-2-0Fiche domicile0-5-2
4-5-1Derniers 10 matchs1-7-2
3.42Buts par match 1.83
3.08Buts contre par match 3.75
15.38%Pourcentage en avantage numérique10.42%
76.60%Pourcentage en désavantage numérique71.43%
Monsters
1-7-4, 6pts
3
FINAL
4 Admirals
5-6-1, 11pts
Team Stats
OTL1SéquenceOTW1
1-2-2Fiche domicile2-4-0
0-5-2Fiche domicile3-2-1
1-7-2Derniers 10 matchs4-5-1
1.83Buts par match 2.58
3.75Buts contre par match 2.92
10.42%Pourcentage en avantage numérique32.69%
71.43%Pourcentage en désavantage numérique84.09%
Griffins
7-5-0, 14pts
2025-01-14
Monsters
1-7-4, 6pts
Statistiques d’équipe
L2SéquenceOTL1
3-2-0Fiche domicile1-2-2
4-3-0Fiche visiteur0-5-2
6-4-010 derniers matchs1-7-2
3.75Buts par match 1.83
3.17Buts contre par match 1.83
22.22%Pourcentage en avantage numérique10.42%
84.31%Pourcentage en désavantage numérique71.43%
Senators
4-8-0, 8pts
2025-01-16
Monsters
1-7-4, 6pts
Statistiques d’équipe
W1SéquenceOTL1
1-5-0Fiche domicile1-2-2
3-3-0Fiche visiteur0-5-2
4-6-010 derniers matchs1-7-2
2.08Buts par match 1.83
3.00Buts contre par match 1.83
21.05%Pourcentage en avantage numérique10.42%
78.85%Pourcentage en désavantage numérique71.43%
Wolves
6-5-1, 13pts
2025-01-18
Monsters
1-7-4, 6pts
Statistiques d’équipe
W4SéquenceOTL1
4-2-0Fiche domicile1-2-2
2-3-1Fiche visiteur0-5-2
5-4-110 derniers matchs1-7-2
3.08Buts par match 1.83
3.00Buts contre par match 1.83
29.79%Pourcentage en avantage numérique10.42%
77.59%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
Liam O'BrienButs
Liam O'Brien
3
Dryden HuntPasses
Dryden Hunt
7
Dryden HuntPoints
Dryden Hunt
8
Joel HanleyPlus/Moins
Joel Hanley
3
Victoires
Kevin Mandolese
1
Pourcentage d’arrêts
Kevin Mandolese
0.873

Statistiques d’équipe
Buts pour
22
1.83 GFG
Tirs pour
306
25.50 Avg
Pourcentage en avantage numérique
10.4%
5 GF
Début de zone offensive
40.5%
Buts contre
45
3.75 GAA
Tirs contre
339
28.25 Avg
Pourcentage en désavantage numérique
71.4%%
12 GA
Début de la zone défensive
42.8%
Informations de l'équipe

Directeur généralSimon Bilodeau
EntraîneurPascal Vincent
DivisionPacific Division
ConférenceConférence Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 70
Espoirs11


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
1Liam O'Brien0XX100.00899355738379907250696572708575040720311775,000$
2Philip Tomasino0XX99.006045727577837073507367637260500406902431,005,001$
3Dryden Hunt0XX96.00784082737782776840656366687868040680302750,000$
4James Hamblin0XX100.00644084757575686776616267685850040660263807,500$
5Adam Gaudette0XX99.00614564716369676950647062705550040650292775,000$
6Aku Raty0XX100.00644272716464626444645864645050040630243925,000$
7Nathan Todd0X100.00594174656470686745656060645851040630302775,000$
8Gage Goncalves0X100.00574466666365636664675758635150040620241919,167$
9Justin Sourdif0X100.00604762716064626444635662645050040610232902,500$
10Spencer Smallman0X100.00604563646368666143545656605550040590291762,500$
11Carsen Twarynski0XXX100.00604270636565625741515256575450040570281750,000$
12Ville Koivunen (R)0X100.0011111111111111104060212902,500$
13Sebastien Aho0X96.00664591757285857140676474707868040720291825,000$
14Dennis Gilbert0X100.00694579718482766940666271677565040700291762,500$
15Maxence Guenette0X100.00664173666965636640645769635150040640242813,333$
16Sean Day0X100.00654172647267656240615567605450040630283775,000$
17Louie Belpedio0X100.00574661656267646040525562605851040600291775,000$
18Mattias Norlinder0X100.00544270656065635940535354595250040580251925,000$
Rayé
1Ryan Suzuki0X100.00584173656464626160605752615150040590242863,334$
2Tyler Benson0XXX100.00544173626367656043625251585450040580271750,000$
3Joel Hanley0X100.00696373757383846840646272688373040700341787,500$
4Steven Santini0X100.00614272656471696340605568616050040630302800,000$
MOYENNE D’ÉQUIPE99.5561446866656866624459566061585204061
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
1Kevin Mandolese0100.0068626270676668656666585150040650253775,000$
2Alex Stalock0100.0062656163626061566162657568040610382750,000$
Rayé
MOYENNE D’ÉQUIPE100.006564626765636561646462635904063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent8576818778751CAN531525,000$


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
1Dryden HuntMonsters (CBJ)LW/RW12178-6202723209245.00%324620.550446390000100039.66%5800000.6500000000
2Philip TomasinoMonsters (CBJ)LW/RW12268-300335389165.26%227022.5112311480001330044.59%7400000.5901000010
3Liam O'BrienMonsters (CBJ)LW/RW12336038105316507296.00%523519.6101113390001190041.03%3900000.5112002100
4Sebastien AhoMonsters (CBJ)D12156-61152325326203.13%2332627.231121840000031000%000000.3700010000
5Dennis GilbertMonsters (CBJ)D1223501203114176611.76%1828723.972021240000026000%000000.3500000000
6Adam GaudetteMonsters (CBJ)C/LW12224-3601721228189.09%222118.421126420001190039.34%21100000.3600000100
7Sean DayMonsters (CBJ)D12033-121802594300%2126422.01000330000023000%000000.2300000010
8James HamblinMonsters (CBJ)C/LW12123000431206145.00%023919.970007400002230062.41%26600000.2511000000
9Justin SourdifMonsters (CBJ)C12303-940924255612.00%114912.4600000000000040.41%14600000.4000000000
10Aku RatyMonsters (CBJ)LW/RW12202-240511102720.00%114612.17000226000060155.56%900000.2700000000
11Joel HanleyMonsters (CBJ)D320232010342350.00%46622.320000800008000%000000.6000000011
12Gage GoncalvesMonsters (CBJ)LW12022-9001013205140%214912.4900000000000050.00%600000.2700000000
13Maxence GuenetteMonsters (CBJ)D12022-118019106670%2026021.71011430000022000%000000.1500000000
14Kiefer SherwoodBlue JacketsLW/RW21011002572414.29%03517.5600010000000045.45%1100000.5700000000
15Louie BelpedioMonsters (CBJ)D9011-355835020%711512.88000310000011000%000000.1700100000
16Nathan ToddMonsters (CBJ)C12101-620515107410.00%015913.2900014000070030.48%10500000.1300000000
17Jordan HarrisBlue JacketsD2011220724220%35226.070002500006000%000000.3800000000
18Carsen TwarynskiMonsters (CBJ)C/LW/RW2000000000010%063.0700001000030020.00%50000000000000
19Eric RobinsonBlue JacketsLW3000-140964250%15418.0400008000050066.67%60000001000000
20Spencer SmallmanMonsters (CBJ)RW12000-9201657060%015613.0400002000000041.67%120000000000000
21Steven SantiniMonsters (CBJ)D1000-100310000%11818.480000100000000%00000000000000
22Tyler BensonMonsters (CBJ)C/LW/RW7000000011000%0111.690000200001000%00000000000000
23Ryan SuzukiMonsters (CBJ)C7000000000000%010.250000000000000%00000000000000
24Mattias NorlinderMonsters (CBJ)D9000-140010020%3505.650000200001000%00000000000000
25Ville KoivunenMonsters (CBJ)C3000000000000%03712.480000000000000%20000000000000
Statistiques d’équipe totales ou en moyenne216213758-7612420286274306871906.86%117356316.50510158942800052640145.79%95000000.3325112231
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
1Kevin MandoleseMonsters (CBJ)121740.8733.4970500413240000.6005120000
2Alex StalockMonsters (CBJ)10000.8006.92260031500000012000
Statistiques d’équipe totales ou en moyenne131740.8703.61731004433900051212000


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
Adam GaudetteMonsters (CBJ)C/LW291995-10-03USANo194 Lbs6 ft1NoNoAssign ManuallyNoNo22024-11-11FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Aku RatyMonsters (CBJ)LW/RW242000-07-05FINNo190 Lbs6 ft1NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Alex StalockMonsters (CBJ)G381986-07-28USANo198 Lbs6 ft0NoNoTrade2024-03-17YesYes2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Carsen TwarynskiMonsters (CBJ)C/LW/RW281996-11-24CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Dennis GilbertMonsters (CBJ)D291995-10-30USANo216 Lbs6 ft2NoNoN/ANoNo12024-08-23FalseFalsePro & Farm762,500$0$0$No---------------------------Lien NHL
Dryden HuntMonsters (CBJ)LW/RW301994-11-24CANNo193 Lbs6 ft0NoNoN/ANoNo22024-08-23FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Gage GoncalvesMonsters (CBJ)LW242000-01-16CANNo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm919,167$0$0$No---------------------------
James HamblinMonsters (CBJ)C/LW261998-04-27CANNo185 Lbs5 ft10NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm807,500$0$0$No807,500$807,500$-------807,500$807,500$-------NoNo-------
Joel HanleyMonsters (CBJ)D341990-06-08CANNo186 Lbs5 ft11NoNoAssign ManuallyYesYes12024-11-24FalseFalsePro & Farm787,500$0$0$No---------------------------Lien NHL
Justin SourdifMonsters (CBJ)C232001-03-24CANNo175 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------
Kevin MandoleseMonsters (CBJ)G251999-08-22CANNo207 Lbs6 ft5NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Liam O'BrienMonsters (CBJ)LW/RW311993-07-29CANNo213 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Louie BelpedioMonsters (CBJ)D291995-05-14USANo196 Lbs5 ft11NoNoN/ANoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Mattias NorlinderMonsters (CBJ)D251999-04-12SWENo179 Lbs5 ft11NoNoN/ANoNo12024-08-23FalseFalsePro & Farm925,000$0$0$No---------------------------
Maxence GuenetteMonsters (CBJ)D242000-04-28CANNo208 Lbs6 ft3NoNoN/ANoNo22024-08-23FalseFalsePro & Farm813,333$0$0$No813,333$--------813,333$--------No--------
Nathan ToddMonsters (CBJ)C301994-12-02CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo22024-11-11FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Philip TomasinoMonsters (CBJ)LW/RW242000-07-28CANNo179 Lbs6 ft0NoNoN/ANoNo32024-08-23FalseFalsePro & Farm1,005,001$0$0$No1,005,001$1,005,001$-------1,005,001$1,005,001$-------NoNo-------
Ryan SuzukiMonsters (CBJ)C242000-05-28CANNo190 Lbs6 ft1NoNoN/ANoNo22024-08-23FalseFalsePro & Farm863,334$0$0$No863,334$--------863,334$--------No--------
Sean DayMonsters (CBJ)D281997-01-09BGMNo225 Lbs6 ft3NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Sebastien AhoMonsters (CBJ)D291995-02-17SWENo180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien NHL
Spencer SmallmanMonsters (CBJ)RW291995-09-09CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm762,500$0$0$No---------------------------Lien NHL
Steven SantiniMonsters (CBJ)D301994-03-07USANo202 Lbs6 ft2NoNoAssign ManuallyYesYes22024-11-11FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien NHL
Tyler BensonMonsters (CBJ)C/LW/RW271997-03-15CANNo190 Lbs6 ft1NoNoN/ANoNo12024-08-23FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Ville KoivunenMonsters (CBJ)C212003-06-13FINYes172 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.54194 Lbs6 ft11.79818,785$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntPhilip TomasinoLiam O'Brien40122
2Ville KoivunenAdam GaudetteJames Hamblin30122
3Dryden HuntNathan ToddAku Raty20122
4Gage GoncalvesJustin SourdifSpencer Smallman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoDennis Gilbert40122
2Sean DayMaxence Guenette30122
3Sean DaySebastien Aho20122
4Sebastien AhoMaxence Guenette10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoDryden HuntLiam O'Brien60122
2Aku RatyAdam GaudetteJames Hamblin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoSean Day60122
2Dennis GilbertMaxence Guenette40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Liam O'BrienDryden Hunt60122
2Adam GaudettePhilip Tomasino40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoDennis Gilbert60122
2Sean DayMaxence Guenette40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Liam O'Brien60122Sebastien AhoDennis Gilbert60122
2Adam Gaudette40122Sean DayMaxence Guenette40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam O'BrienDryden Hunt60122
2Adam GaudettePhilip Tomasino40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoSean Day60122
2Dennis GilbertMaxence Guenette40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntPhilip TomasinoLiam O'BrienSebastien AhoDennis Gilbert
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntPhilip TomasinoLiam O'BrienSebastien AhoDennis Gilbert
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Liam O'Brien, Adam Gaudette, Aku RatyDryden Hunt, Adam GaudetteAdam Gaudette
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxence Guenette, Sean Day, Sebastien AhoMaxence GuenetteMaxence Guenette, Sean Day
Tirs de pénalité
Liam O'Brien, Adam Gaudette, Aku Raty, Dryden Hunt, Nathan Todd
Gardien
#1 : Kevin Mandolese, #2 : Alex Stalock
Lignes d’attaque personnalisées en prolongation
Liam O'Brien, Spencer Smallman, Ville Koivunen, Dryden Hunt, Philip Tomasino, Adam Gaudette, Adam Gaudette, Aku Raty, Nathan Todd, Gage Goncalves, Justin Sourdif
Lignes de défense personnalisées en prolongation
Sebastien Aho, Louie Belpedio, Mattias Norlinder, Maxence Guenette, Sean Day


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
1Admirals2010010047-31010000013-21000010034-110.250471100966239119988311521815379111.11%5260.00%017438045.79%18340145.64%7815749.68%2781882999015475
2Comets1010000017-61010000017-60000000000000.000123009662291199883113391425400.00%6266.67%017438045.79%18340145.64%7815749.68%2781882999015475
3Crunch1010000012-1000000000001010000012-100.0001230096622311998831119417225120.00%10100.00%017438045.79%18340145.64%7815749.68%2781882999015475
4Eagles2010010057-21000010023-11010000034-110.250591400966251119988311722118608112.50%7357.14%017438045.79%18340145.64%7815749.68%2781882999015475
5Gulls1010000023-1000000000001010000023-100.00023500966234119988311271210215120.00%4175.00%017438045.79%18340145.64%7815749.68%2781882999015475
6IceHogs1010000014-3000000000001010000014-300.000123009662261199883113514624300.00%30100.00%017438045.79%18340145.64%7815749.68%2781882999015475
7Manitoba Moose1010000006-6000000000001010000006-600.0000000096623111998831128111117500.00%3233.33%017438045.79%18340145.64%7815749.68%2781882999015475
8Marlies1000010034-11000010034-10000000000010.500369009662241199883112686345120.00%3166.67%017438045.79%18340145.64%7815749.68%2781882999015475
9Rocket1000000123-1000000000001000000123-110.50023500966225119988311207828300.00%40100.00%017438045.79%18340145.64%7815749.68%2781882999015475
10Wranglers10000010321100000103210000000000021.0003360096622411998831127131918100.00%6183.33%017438045.79%18340145.64%7815749.68%2781882999015475
Total1207003112245-23502002101019-9705001011226-1460.25022375900966230611998831133911712428648510.42%421271.43%017438045.79%18340145.64%7815749.68%2781882999015475
_Since Last GM Reset1207003112245-23502002101019-9705001011226-1460.25022375900966230611998831133911712428648510.42%421271.43%017438045.79%18340145.64%7815749.68%2781882999015475
_Vs Conference503001101018-830100110612-62020000046-230.300101626009662127119988311151476812518211.11%20670.00%017438045.79%18340145.64%7815749.68%2781882999015475
_Vs Division40200110916-730100110612-61010000034-130.3759142300966210411998831113243511031317.69%19668.42%017438045.79%18340145.64%7815749.68%2781882999015475

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
126OTL122375930633911712428600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
120703112245
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
50202101019
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
70501011226
Derniers 10 matchs
WLOTWOTL SOWSOL
070210
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
48510.42%421271.43%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
1199883119662
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
17438045.79%18340145.64%7815749.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2781882999015475


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
3 - 2024-12-227Monsters2Rocket3LXXSommaire du match
4 - 2024-12-2316Eagles3Monsters2LXSommaire du match
7 - 2024-12-2633Marlies4Monsters3LXSommaire du match
8 - 2024-12-2745Admirals3Monsters1LSommaire du match
10 - 2024-12-2953Monsters0Manitoba Moose6LSommaire du match
12 - 2024-12-3167Monsters3Eagles4LSommaire du match
14 - 2025-01-0278Monsters1IceHogs4LSommaire du match
16 - 2025-01-0488Monsters2Gulls3LSommaire du match
18 - 2025-01-0698Wranglers2Monsters3WXXSommaire du match
20 - 2025-01-08110Monsters1Crunch2LSommaire du match
22 - 2025-01-10122Comets7Monsters1LSommaire du match
24 - 2025-01-12135Monsters3Admirals4LXSommaire du match
26 - 2025-01-14145Griffins-Monsters-
28 - 2025-01-16160Senators-Monsters-
30 - 2025-01-18173Wolves-Monsters-
32 - 2025-01-20185Monsters-Silver Knights-
34 - 2025-01-22197Monsters-Senators-
35 - 2025-01-23205Wranglers-Monsters-
37 - 2025-01-25220Monsters-Griffins-
39 - 2025-01-27229Crunch-Monsters-
41 - 2025-01-29243Reign-Monsters-
43 - 2025-01-31255Monsters-Wolf Pack-
45 - 2025-02-02267Monsters-Manitoba Moose-
47 - 2025-02-04277Checkers-Monsters-
49 - 2025-02-06291Monsters-Penguins-
51 - 2025-02-08302Penguins-Monsters-
52 - 2025-02-09315Monsters-Checkers-
54 - 2025-02-11324Senators-Monsters-
55 - 2025-02-12336Monsters-Silver Knights-
57 - 2025-02-14349Griffins-Monsters-
59 - 2025-02-16362Monsters-Penguins-
61 - 2025-02-18375Silver Knights-Monsters-
63 - 2025-02-20383Monsters-Crunch-
65 - 2025-02-22398Rocket-Monsters-
66 - 2025-02-23408Monsters-Americans-
68 - 2025-02-25422Monsters-Rocket-
70 - 2025-02-27431Americans-Monsters-
72 - 2025-03-01445Wolf Pack-Monsters-
74 - 2025-03-03458Monsters-Firebirds-
76 - 2025-03-05468Firebirds-Monsters-
78 - 2025-03-07481Monsters-Admirals-
79 - 2025-03-08489Monsters-IceHogs-
80 - 2025-03-09499Monsters-Comets-
82 - 2025-03-11510Checkers-Monsters-
84 - 2025-03-13525Firebirds-Monsters-
86 - 2025-03-15541Gulls-Monsters-
87 - 2025-03-16551Monsters-Marlies-
89 - 2025-03-18563Marlies-Monsters-
90 - 2025-03-19573Monsters-Condors-
92 - 2025-03-21588IceHogs-Monsters-
93 - 2025-03-22600Manitoba Moose-Monsters-
96 - 2025-03-25615Monsters-Stars-
98 - 2025-03-27625Monsters-Condors-
99 - 2025-03-28637Monsters-Stars-
101 - 2025-03-30647Stars-Monsters-
103 - 2025-04-01664Comets-Monsters-
104 - 2025-04-02676Monsters-Comets-
105 - 2025-04-03682Monsters-Firebirds-
107 - 2025-04-05693Reign-Monsters-
109 - 2025-04-07709Wolves-Monsters-
110 - 2025-04-08717Monsters-Wolves-
112 - 2025-04-10734Bruins-Monsters-
113 - 2025-04-11737Monsters-Eagles-
115 - 2025-04-13756Monsters-Rocket-
116 - 2025-04-14763Condors-Monsters-
119 - 2025-04-17785Wranglers-Monsters-
120 - 2025-04-18792Monsters-Firebirds-
122 - 2025-04-20807Crunch-Monsters-
124 - 2025-04-22824Reign-Monsters-
125 - 2025-04-23830Monsters-Wranglers-
127 - 2025-04-25845Monsters-Wranglers-
128 - 2025-04-26854Condors-Monsters-
131 - 2025-04-29871Monsters-Gulls-
132 - 2025-04-30874Monsters-Bruins-
133 - 2025-05-01884Wolf Pack-Monsters-
134 - 2025-05-02898Monsters-Bruins-
136 - 2025-05-04909Comets-Monsters-
138 - 2025-05-06923Eagles-Monsters-
141 - 2025-05-09947Eagles-Monsters-
142 - 2025-05-10951Monsters-Reign-
144 - 2025-05-12967Monsters-Reign-
146 - 2025-05-14975Americans-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 19,650,836$ 19,650,836$ 525,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 123 136,323$ 16,767,729$




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

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

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

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

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