Connexion

Monsters
GP: 10 | W: 7 | L: 2 | OTL: 1 | P: 15
GF: 44 | GA: 31 | PP%: 18.75% | PK%: 91.30%
DG: Eric Henault | Morale : 50 | Moyenne d’équipe : 69
Prochain matchs #171 vs Islanders
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Centre de jeu
Monsters
7-2-1, 15pts
6
FINAL
5 Bears
4-4-2, 10pts
Team Stats
W2StreakL2
3-2-0Home Record3-1-1
4-0-1Away Record1-3-1
7-2-1Last 10 Games4-4-2
4.40Buts par match 3.90
3.10Buts contre par match 4.30
18.75%Pourcentage en avantage numérique17.50%
91.30%Pourcentage en désavantage numérique86.67%
Bears
4-4-2, 10pts
2
FINAL
5 Monsters
7-2-1, 15pts
Team Stats
L2StreakW2
3-1-1Home Record3-2-0
1-3-1Away Record4-0-1
4-4-2Last 10 Games7-2-1
3.90Buts par match 4.40
4.30Buts contre par match 3.10
17.50%Pourcentage en avantage numérique18.75%
86.67%Pourcentage en désavantage numérique91.30%
Islanders
3-5-1, 7pts
2022-08-03
Monsters
7-2-1, 15pts
Statistiques d’équipe
W1SéquenceW2
2-3-0Fiche domicile3-2-0
1-2-1Fiche visiteur4-0-1
3-5-110 derniers matchs7-2-1
2.78Buts par match 4.40
4.00Buts contre par match 3.10
13.04%Pourcentage en avantage numérique18.75%
76.92%Pourcentage en désavantage numérique91.30%
Monsters
7-2-1, 15pts
2022-08-04
Wolf Pack
9-1-1, 19pts
Statistiques d’équipe
W2SéquenceW1
3-2-0Fiche domicile5-0-0
4-0-1Fiche visiteur4-1-1
7-2-110 derniers matchs8-1-1
4.40Buts par match 5.27
3.10Buts contre par match 3.27
18.75%Pourcentage en avantage numérique25.00%
91.30%Pourcentage en désavantage numérique68.75%
Monsters
7-2-1, 15pts
2022-08-05
Phantoms
5-2-3, 13pts
Statistiques d’équipe
W2SéquenceW3
3-2-0Fiche domicile3-0-2
4-0-1Fiche visiteur2-2-1
7-2-110 derniers matchs5-2-3
4.40Buts par match 4.20
3.10Buts contre par match 4.40
18.75%Pourcentage en avantage numérique15.63%
91.30%Pourcentage en désavantage numérique76.67%
Meneurs d'équipe
Victoires
Sam Montembeault
7
Pourcentage d’arrêts
Sam Montembeault
0.909

Statistiques d’équipe
Buts pour
44
4.40 GFG
Tirs pour
445
44.50 Avg
Pourcentage en avantage numérique
18.8%
9 GF
Début de zone offensive
47.5%
Buts contre
31
3.10 GAA
Tirs contre
331
33.10 Avg
Pourcentage en désavantage numérique
91.3%
2 GA
Début de la zone défensive
33.7%
Information d’équipe

Directeur généralEric Henault
EntraîneurStéphane Richer
DivisionMETROPOLITAINE
ConférenceEST
CapitainePierre-Olivier Joseph
Assistant #1Raphael Lavoie
Assistant #2Rafael Harvey-Pinard


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 55
Espoirs31


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
1Noah Cates0X100.00723483657182756656676963686264050700232925,000$
2Cedric Paquette0X100.008345736075797761746263716472730507002914,332,000$
3Alex Limoges0X100.006638936578808661646266616566670506902531,500,000$
4Marian Studenic0XX100.006339866374807965616465686465670506902311,156,250$
5Steven Lorentz0XXX100.006538956488778665806261566266670506902641,199,000$
6Rafael Harvey-Pinard (A)0XX100.00763583646682866457626661656469050690235825,000$
7Garrett Pilon0X100.00633793657386796175626761656466050680242989,000$
8Otto Somppi0X100.006839876379758063706258616364660506802411,049,000$
9Bokondji Imama0X100.007785645982698060566162585766680506702631,211,000$
10Mark Kastelic0X100.00813665588579865375605961566364050670232821,667$
11Raphael Lavoie (A)0XX100.00773487568692835761585960566264050670215925,000$
12Nathan Legare (R)0X100.00663983557583855358555657556163050640213905,000$
13Pierre-Olivier Joseph (C)0X100.006938847177868770307160625163650507202351,075,883$
14Greg Pateryn0X100.00754579598580736130675874507377050710321750,000$
15Joel Hanley0X100.006936846871807566307055645371720507003121,150,000$
16Nick Seeler0X100.007645786081827453306154684769710506802931,278,000$
17Isaak Phillips0X100.00673876578277855930575660486163050660202925,000$
18Brady Keeper0X100.00583595588077736030595662506965050650262954,000$
Rayé
1Adam Mascherin0X100.00634681647277826568616362646567050680241750,000$
2Jack Dugan0X100.006835786177767360666358576264660506602451,562,500$
3Dominic Turgeon0X100.00613988598076855862565761596669050660261999,000$
4Tyler Angle0X100.00583689646788896259635857646265050660212925,000$
5Ivan Chekhovich0XX100.00503595636780746456625960646362050650231903,333$
6Brian Lashoff0X100.00774283578665885630555458467277050660321977,000$
7Ole Bjorgvik-Holm0X100.00693483577872775930585356465961050640202917,500$
MOYENNE D’ÉQUIPE100.0069408361777981615462606258656705068
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
1Sam Montembeault100.00779086837675777675777666750507902533,000,000$
2Erik Kallgren100.0074858382737274737274736675050760253750,000$
Rayé
1Vasily Demchenko100.0072787679717072717072717377050750282750,000$
2Jacob Ingham100.0068656684676668676668676367050700222850,000$
3Lukas Parik100.0065666889646365646365646165050680211750,000$
MOYENNE D’ÉQUIPE100.007177768370697170697170667205074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Stéphane Richer75757575757575Can5650$


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
1Greg PaterynMonsters (CLB)D104711-540261330111713.33%822122.14235204500000200.00%000000.9900000000
2Alex LimogesMonsters (CLB)LW1045940017105320307.55%119819.901121438000001066.67%1500000.9000000021
3Garrett PilonMonsters (CLB)C103692009232711911.11%213713.721239180001211056.65%20300001.3100000000
4Pierre-Olivier JosephMonsters (CLB)D10459-52011173291712.50%1925025.022352145000021100.00%000000.7211000001
5Rafael Harvey-PinardMonsters (CLB)LW/RW1045920016144711298.51%319519.560221543000001062.50%1600000.9201000011
6Cedric PaquetteMonsters (CLB)C535824015182341213.04%110621.23022523000080050.29%17500001.5100000200
7Marian StudenicMonsters (CLB)LW/RW10257000683010256.67%214514.59000010000210010.00%1000000.9600000000
8Joel HanleyMonsters (CLB)D1016746016152311204.35%1621421.451121536000019000.00%000000.6500000010
9Steven LorentzMonsters (CLB)C/LW/RW103474409224111257.32%120320.31112939000000055.78%29400000.6901000001
10Nick SeelerMonsters (CLB)D100778401915194180.00%1518918.900111036000017000.00%000000.7400000110
11Nathan LegareMonsters (CLB)RW104374201991951021.05%019819.89011638000000064.71%1700000.7001000101
12Brady KeeperMonsters (CLB)D100664006104020.00%1017417.420000100005000.00%000000.6900000002
13Isaak PhillipsMonsters (CLB)D102358207773328.57%1215515.5500000000019000.00%000000.6400000010
14Raphael LavoieMonsters (CLB)C/RW103252401218164718.75%221521.571016440000180050.00%12200000.4601000000
15Otto SomppiMonsters (CLB)C10314-1000102031015.00%2787.8900001000181054.55%2200001.0100000100
16Noah CatesMonsters (CLB)LW10134200145264263.85%0999.9800000000030050.00%1200000.8001000000
17Adam MascherinMonsters (CLB)LW52132204681825.00%05010.06000000000000100.00%200001.1900000100
18Bokondji ImamaMonsters (CLB)LW10112-1607711779.09%0676.7900000000000160.00%500000.5900000000
19Mark KastelicMonsters (CLB)C10011-1601379170.00%1686.8600000000000046.90%11300000.2900000000
Statistiques d’équipe totales ou en moyenne1804476120354602262344451202929.89%95297216.519172613041600021657153.28%100600000.8116000667
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
1Sam MontembeaultMonsters (CLB)107210.9092.9860400303310000.6676100010
Statistiques d’équipe totales ou en moyenne107210.9092.9860400303310000.6676100010


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond salarial 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 10Link
Adam MascherinMonsters (CLB)LW241998-06-06No200 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Alex LimogesMonsters (CLB)LW251997-09-16No201 Lbs6 ft1NoNoNo3Pro & Farm1,500,000$1,500,000$1,500,000$0$0$No1,500,000$1,500,000$Lien
Bokondji ImamaMonsters (CLB)LW261996-08-03No221 Lbs6 ft1NoNoNo3Pro & Farm1,211,000$1,211,000$883,333$0$0$No925,000$925,000$Lien
Brady KeeperMonsters (CLB)D261996-06-05No197 Lbs6 ft2NoNoNo2Pro & Farm954,000$954,000$650,000$0$0$No954,000$Lien
Brian LashoffMonsters (CLB)D321990-07-16No213 Lbs6 ft3NoNoNo1Pro & Farm977,000$977,000$650,000$0$0$NoLien
Cedric PaquetteMonsters (CLB)C291993-08-13No205 Lbs6 ft0NoNoNo1Pro & Farm4,332,000$4,332,000$0$0$NoLien
Dominic TurgeonMonsters (CLB)C261996-02-25No199 Lbs6 ft2NoNoNo1Pro & Farm999,000$999,000$650,000$0$0$NoLien
Erik KallgrenMonsters (CLB)G251996-10-14No193 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Garrett PilonMonsters (CLB)C241998-04-13No191 Lbs6 ft0NoNoNo2Pro & Farm989,000$989,000$650,000$0$0$No989,000$Lien
Greg PaterynMonsters (CLB)D321990-06-20No221 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Isaak PhillipsMonsters (CLB)D202001-09-28No193 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$600,000$0$0$No925,000$Lien
Ivan ChekhovichMonsters (CLB)LW/RW231999-01-04No185 Lbs5 ft10NoNoNo1Pro & Farm903,333$903,333$0$0$NoLien
Jack DuganMonsters (CLB)LW241998-03-24No185 Lbs6 ft2NoNoNo5Pro & Farm1,562,500$1,562,500$1,562,500$0$0$No1,247,000$1,247,000$1,247,000$1,247,000$Lien
Jacob InghamMonsters (CLB)G222000-06-10No186 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$850,000$0$0$No850,000$Lien
Joel HanleyMonsters (CLB)D311991-06-08No190 Lbs5 ft11NoNoNo2Pro & Farm1,150,000$1,150,000$1,150,000$0$0$No1,150,000$Lien
Lukas ParikMonsters (CLB)G212001-03-15No215 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$700,000$0$0$NoLien
Marian StudenicMonsters (CLB)LW/RW231998-10-28No181 Lbs6 ft1NoNoNo1Pro & Farm1,156,250$1,156,250$650,000$0$0$NoLien
Mark KastelicMonsters (CLB)C231999-03-11No210 Lbs6 ft3NoNoNo2Pro & Farm821,667$821,667$821,667$0$0$No821,667$Lien
Nathan LegareMonsters (CLB)RW212001-01-11Yes205 Lbs6 ft0NoNoNo3Pro & Farm905,000$905,000$700,000$0$0$No905,000$905,000$
Nick SeelerMonsters (CLB)D291993-06-03No201 Lbs6 ft2NoNoNo3Pro & Farm1,278,000$1,278,000$650,000$0$0$No1,278,000$1,278,000$Lien
Noah CatesMonsters (CLB)LW231999-02-05No165 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien
Ole Bjorgvik-HolmMonsters (CLB)D202002-05-23No190 Lbs6 ft2NoNoNo2Pro & Farm917,500$917,500$917,500$0$0$No917,500$Lien
Otto SomppiMonsters (CLB)C241998-01-12No192 Lbs6 ft2NoNoNo1Pro & Farm1,049,000$1,049,000$1,000,000$0$0$NoLien
Pierre-Olivier JosephMonsters (CLB)D231999-07-01No185 Lbs6 ft2NoNoNo5Pro & Farm1,075,883$1,075,883$650,000$0$0$No1,014,000$1,014,000$1,014,000$1,014,000$Lien
Rafael Harvey-PinardMonsters (CLB)LW/RW231999-01-06No182 Lbs5 ft9NoNoNo5Pro & Farm825,000$825,000$825,000$0$0$No1,262,000$1,262,000$1,262,000$1,262,000$Lien
Raphael LavoieMonsters (CLB)C/RW212000-09-25No196 Lbs6 ft4NoNoNo5Pro & Farm925,000$925,000$925,000$0$0$No844,000$844,000$844,000$844,000$Lien
Sam MontembeaultMonsters (CLB)G251996-10-30No199 Lbs6 ft3NoNoNo3Pro & Farm3,000,000$3,000,000$708,750$0$0$No1,662,000$1,662,000$Lien
Steven LorentzMonsters (CLB)C/LW/RW261996-04-13No206 Lbs6 ft4NoNoNo4Pro & Farm1,199,000$1,199,000$650,000$0$0$No1,199,000$1,199,000$1,199,000$Lien
Tyler AngleMonsters (CLB)LW212000-09-30No172 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Vasily DemchenkoMonsters (CLB)G281994-03-16No193 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$750,000$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.67196 Lbs6 ft22.371,170,171$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesSteven LorentzNathan Legare34122
2Rafael Harvey-PinardCedric PaquetteRaphael Lavoie32122
3Noah CatesGarrett PilonMarian Studenic20122
4Bokondji ImamaMark KastelicOtto Somppi14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephGreg Pateryn38122
2Joel HanleyBrady Keeper34122
3Isaak PhillipsNick Seeler28122
4Pierre-Olivier JosephBrady Keeper0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rafael Harvey-PinardCedric PaquetteRaphael Lavoie60122
2Alex LimogesSteven LorentzNathan Legare40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephGreg Pateryn60122
2Nick SeelerJoel Hanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Garrett PilonMarian Studenic50122
2Cedric PaquetteRaphael Lavoie50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephNick Seeler50122
2Joel HanleyIsaak Phillips50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cedric Paquette50122Greg PaterynJoel Hanley50122
2Raphael Lavoie50122Brady KeeperIsaak Phillips50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Steven LorentzMarian Studenic50122
2Cedric PaquetteRafael Harvey-Pinard50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephGreg Pateryn50122
2Nick SeelerBrady Keeper50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rafael Harvey-PinardCedric PaquetteRaphael LavoiePierre-Olivier JosephGreg Pateryn
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah CatesCedric PaquetteMarian StudenicPierre-Olivier JosephGreg Pateryn
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Raphael Lavoie, Alex Limoges, Nathan LegareOtto Somppi, Rafael Harvey-PinardNoah Cates
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brady Keeper, Pierre-Olivier Joseph, Greg PaterynJoel HanleyPierre-Olivier Joseph, Brady Keeper
Tirs de pénalité
Rafael Harvey-Pinard, Raphael Lavoie, Nathan Legare, Steven Lorentz, Pierre-Olivier Joseph
Gardien
#1 : Sam Montembeault, #2 : Erik Kallgren
Lignes d’attaque personnalisées en prolongation
Cedric Paquette, Raphael Lavoie, Garrett Pilon, Rafael Harvey-Pinard, Mark Kastelic, Nathan Legare, Nathan Legare, Otto Somppi, Marian Studenic, Alex Limoges, Steven Lorentz
Lignes de défense personnalisées en prolongation
Pierre-Olivier Joseph, Greg Pateryn, Joel Hanley, Brady Keeper, Isaak Phillips


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
1Bears220000001174110000005231100000065141.000111829002015919614614415385719164312216.67%80100.00%025447453.59%18733655.65%9518750.80%2601832167112866
2Comets20100001710-31010000046-21000000134-110.25079160020159196146144153881228457228.57%4175.00%025447453.59%18733655.65%9518750.80%2601832167112866
3Islanders11000000312000000000001100000031221.0003690020159144146144153829134308112.50%20100.00%025447453.59%18733655.65%9518750.80%2601832167112866
4W-B/Scranton Penguins220000001055110000005141100000054141.00010192900201591831461441538611465210330.00%30100.00%025447453.59%18733655.65%9518750.80%2601832167112866
5Wolf Pack1010000034-11010000034-10000000000000.000369002015913214614415383711419200.00%20100.00%025447453.59%18733655.65%9518750.80%2601832167112866
6Wolves220000001046110000004221100000062441.0001018280020159194146144153866168379111.11%4175.00%025447453.59%18733655.65%9518750.80%2601832167112866
Total10720000144311353200000211565400000123167150.7504476120002015914451461441538331954622648918.75%23291.30%025447453.59%18733655.65%9518750.80%2601832167112866
_Since Last GM Reset10720000144311353200000211565400000123167150.7504476120002015914451461441538331954622648918.75%23291.30%025447453.59%18733655.65%9518750.80%2601832167112866
_Vs Conference10720000144311353200000211565400000123167150.7504476120002015914451461441538331954622648918.75%23291.30%025447453.59%18733655.65%9518750.80%2601832167112866
_Vs Division10720000144311353200000211565400000123167150.7504476120002015914451461441538331954622648918.75%23291.30%025447453.59%18733655.65%9518750.80%2601832167112866

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1015W24476120445331954622600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
107200014431
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200002115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
54000012316
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
48918.75%23291.30%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
1461441538201591
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
25447453.59%18733655.65%9518750.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2601832167112866


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 - 2022-07-1712Comets6Monsters4BLSommaire du match
2 - 2022-07-1818Monsters3Comets4ALXXSommaire du match
4 - 2022-07-2041Monsters5W-B/Scranton Penguins4AWSommaire du match
6 - 2022-07-2254W-B/Scranton Penguins1Monsters5BWSommaire du match
7 - 2022-07-2371Wolves2Monsters4BWSommaire du match
9 - 2022-07-2588Monsters6Wolves2AWSommaire du match
10 - 2022-07-2698Monsters3Islanders1AWSommaire du match
12 - 2022-07-28116Wolf Pack4Monsters3BLSommaire du match
14 - 2022-07-30134Monsters6Bears5AWSommaire du match
15 - 2022-07-31151Bears2Monsters5BWSommaire du match
18 - 2022-08-03171Islanders-Monsters-
19 - 2022-08-04190Monsters-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05200Monsters-Phantoms-
21 - 2022-08-06211Phantoms-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2716
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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,510,513$ 2,296,875$ 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$ 8 0$ 0$




Monsters Leaders statistiques (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


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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 (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