Connexion

Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Étienne Bourget | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralÉtienne Bourget
EntraîneurJohn Hynes
DivisionCentral
ConférenceDivison Central-East
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro16
Équipe Mineure18
Limite contact 34 / 60
Espoirs24


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique34-16-5 (0.618%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)5-7
Stanley Cup0


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
1Nate Thompson0XX100.0079449669755484597457578125788205000371750,000$
2Kevin Stenlund0XX100.00654391658163736870637058255253050002500$
3Mason Marchment0XXX100.0087468460776760693969576325474705000271925,000$
4Kole Sherwood0X100.00807786657756565650456365604545050002500$
5Jack Kopacka0X100.00757281637249504750454460424444050002400$
6Vinni Lettieri0XX100.00676768676768687080637363694747050002700$
7Michael McCarron0XX100.00748450658858555670485963255050050002700$
8Will Bitten (R)0XX100.00676082666064656176595960564444050002400$
9Rafael Harvey-Pinard (R)0X100.0072619763617275615056616258444405000231825,000$
10Dylan McIlrath0X100.00748742658765704925404163395555050003000$
11Declan Chisholm (R)0X100.0074718167716467522549416139444405000221815,000$
12Gavin Bayreuther0X100.0078447863726764602539515853464605000281750,000$
13Hunter Skinner (R)0X100.0077738762735659462535426140444405000212850,833$
14Peter Diliberatore (R)0X100.0065685765684951462537395537444405000221880,833$
Rayé
MOYENNE D’ÉQUIPE100.007464776574616457495054624249490500
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
1Amir Miftakhov (R)100.004850638546475054484830444405000222838,333$
Rayé
1Dylan Garand (R)100.004553666740435052444530444405000203800,000$
MOYENNE D’ÉQUIPE100.00475265764345505346473044440500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes85636366735367USA5713,000,000$


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
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


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 moyenSalaire moyen restantPlafond 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
Amir MiftakhovMonsters (CLB)G222000-04-26 23:58:03Yes172 Lbs6 ft0NoNoNo2Pro & Farm838,333$838,333$838,333$838,333$0$0$No838,333$Lien NHL
Declan ChisholmMonsters (CLB)D222000-01-12Yes190 Lbs6 ft1NoNoNo1Pro & Farm815,000$815,000$815,000$815,000$0$0$NoLien / Lien NHL
Dylan GarandMonsters (CLB)G202002-06-07Yes179 Lbs6 ft1NoNoNo3Farm Only800,000$800,000$800,000$800,000$0$0$No800,000$800,000$
Dylan McIlrathMonsters (CLB)D301992-04-20No231 Lbs6 ft5NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Gavin BayreutherMonsters (CLB)D281994-05-12No195 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien / Lien NHL
Hunter SkinnerMonsters (CLB)D212001-04-29Yes190 Lbs6 ft3NoNoNo2Pro & Farm850,833$850,833$850,833$850,833$0$0$No850,833$
Jack KopackaMonsters (CLB)LW241998-03-05No191 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Kevin StenlundMonsters (CLB)C/RW251996-09-20No215 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Kole SherwoodMonsters (CLB)RW251997-01-22No212 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Mason MarchmentMonsters (CLB)C/LW/RW271995-03-06No204 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien / Lien NHL
Michael McCarronMonsters (CLB)C/RW271995-03-07No232 Lbs6 ft6NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nate ThompsonMonsters (CLB)C/LW371984-10-05No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien / Lien NHL
Peter DiliberatoreMonsters (CLB)D222000-03-31Yes185 Lbs6 ft0NoNoNo1Pro & Farm880,833$880,833$880,833$880,833$0$0$No
Rafael Harvey-PinardMonsters (CLB)LW231999-01-06Yes172 Lbs5 ft9NoNoNo1Pro & Farm825,000$825,000$825,000$825,000$0$0$No
Vinni LettieriMonsters (CLB)C/RW271995-02-06No185 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Will BittenMonsters (CLB)C/RW241998-07-10Yes168 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1625.25195 Lbs6 ft10.81464,687$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vinni Lettieri40122
2Rafael Harvey-PinardKevin StenlundWill Bitten30122
3Michael McCarronKole Sherwood20122
4Vinni LettieriKevin Stenlund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathGavin Bayreuther40122
2Declan Chisholm30122
3Hunter SkinnerPeter Diliberatore20122
4Dylan McIlrathGavin Bayreuther10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vinni Lettieri60122
2Rafael Harvey-PinardKevin StenlundWill Bitten40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathGavin Bayreuther60122
2Declan Chisholm40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vinni Lettieri60122
2Kevin Stenlund40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathGavin Bayreuther60122
2Declan Chisholm40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Dylan McIlrathGavin Bayreuther60122
2Vinni Lettieri40122Declan Chisholm40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vinni Lettieri60122
2Kevin Stenlund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathGavin Bayreuther60122
2Declan Chisholm40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vinni LettieriDylan McIlrathGavin Bayreuther
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vinni LettieriDylan McIlrathGavin Bayreuther
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael McCarron, Kole Sherwood, Rafael Harvey-PinardMichael McCarron, Kole SherwoodRafael Harvey-Pinard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter Skinner, Peter Diliberatore, Declan ChisholmHunter SkinnerPeter Diliberatore, Declan Chisholm
Tirs de pénalité
, Vinni Lettieri, Kevin Stenlund, , Rafael Harvey-Pinard
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Vinni Lettieri, Kevin Stenlund, , Rafael Harvey-Pinard, Will Bitten, Will Bitten, Michael McCarron, Kole Sherwood, ,
Lignes de défense personnalisées en prolongation
Dylan McIlrath, Gavin Bayreuther, Declan Chisholm, , Hunter Skinner


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 5,576,250$ 5,576,250$ 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$ 0 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
1Par Lindholm56142539310119411711.97%1799817.83415193721362156.14%00.7813
2Vinni Lettieri56152439-256818711612.93%985015.19611172900020061.23%00.9215
3Egor Sharangovich5616183426682948818.18%4100117.8999183201112159.54%00.6833
4Kevin Stenlund3819133231426589619.79%472619.1175123530334146.75%00.8826
5Dylan McIlrath56723303143182526510.77%59123422.054711480220000.00%00.4900

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
1Cayden Primeau44271340.8672.482667651108280000.73315
2Ville Husso127320.8672.8573741352630000.80015

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
1562716023531711482328175011229674222810110123175741741713004710653466513123238538245047109132085611132925318.15%3414786.22%5897156257.43%828147756.06%48285356.51%13449121348429715351
Total Saison régulière562716023531711482328175011229674222810110123175741741713004710653466513123238538245047109132085611132925318.15%3414786.22%5897156257.43%828147756.06%48285356.51%13449121348429715351
Séries éliminatoires
1125700000302737340000019172523000001110110305585001110902708577100822773196239751013.33%901187.78%020137353.89%19534856.03%7916647.59%2992042899815877
Total Séries éliminatoires125700000302737340000019172523000001110110305585001110902708577100822773196239751013.33%901187.78%020137353.89%19534856.03%7916647.59%2992042899815877

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
1Par Lindholm125813801282520.00%422418.691671300002063.64%01.1600
2Vinni Lettieri1245901220153611.11%120617.223471600001045.45%00.8700
3Kevin Stenlund12437-128213411.76%320917.490221000001037.04%00.6700
4Brandon Davidson12167-1181812911.11%1426021.6712380000000.00%00.5400
5Anders Bjork12156-14925342.94%024920.761011100011021.43%00.4800

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
1Ville Husso125340.8812.1774700272270000.0000