Connexion

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

Statistiques d’équipe
Informations de l'équipe

Directeur généralYvon Poulin
EntraîneurRick Tocchet
DivisionDivision 2
ConférenceConference 1
CapitaineRiley Stillman
Assistant #1Sonny Milano
Assistant #2Rasmus Asplund


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 60
Espoirs27


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
1Jan Jenik (R)0X100.00849176746457736543586865254545685000212902,500$
2Jack Drury (R)0X100.00676375716362626379626060574444625000223925,000$
3Jesse Ylonen (R)0X100.00634195666959746825666661254545665000222925,000$
4Jack Badini (R)0XX100.00777386687354564860454562434444535000242815,000$
5Kevin Stenlund0XX100.00828185718163646176595770545353635000251925,000$
6Rasmus Asplund (A)0XXX100.00634195776767817039695968255959665000241925,000$
7Tyler Benson0X100.00814482677052676225535660254747605000241863,333$
8Charles Hudon0XX100.00706876636857556650606863654444665000272650,000$
9Michael McCarron0XX100.00889963699157626483626678255757685000271750,000$
10Sonny Milano (A)0X100.006341948370706476257572602559597150002631,700,000$
11Antoine Morand (R)0X100.00726687676662665063474760454444555000231927,500$
12Connor Dewar0XX100.00796380656656696256605774254747645000221925,000$
13Brendan Guhle0X100.00757378797357614725354164395959535000241888,833$
14Cale Fleury0X100.00864699747765706025394775254848595000231883,333$
15Gabriel Carlsson0X100.00694391787860576025534871255858605000251725,000$
16Donovan Sebrango (R)0X100.00767189637160654425343960374444505000202925,000$
17Kaedan Korczak (R)0X100.00767482737456584925434061384444535000212905,000$
18Drew Helleson (R)0X100.00787391697338374525363961374444505000213650,000$
19Riley Stillman (C)0X100.00889380767567655725544878255757635000241900,000$
20Ville Heinola0X100.007142778064666462256947692546466250002111,137,500$
21Mike Reilly0X100.0078448681727788652554487125656662500X02811,500,000$
Rayé
1Bryce Misley (R)0X100.00716975626942415063385659534444545000222650,000$
2Ryan Jones0X100.00787877637865704950474662444444555000262650,000$
MOYENNE D’ÉQUIPE100.0075648371726064584253536635505060500
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
1Colton Point (R)100.0045465895454545504545454444465000242750,000$
2Jakub Skarek (R)100.0048445581494950545050304444495000221927,500$
Rayé
MOYENNE D’ÉQUIPE100.004745578847474852484838444448500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet82907785837965CAN5811,500,000$


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
Antoine MorandMonsters (CLB)C231999-02-18Yes184 Lbs5 ft11NoNoNo1Pro & Farm927,500$927,500$927,500$927,500$0$0$NoLien
Brendan GuhleMonsters (CLB)D241997-07-29No197 Lbs6 ft2NoNoNo1Pro & Farm888,833$888,833$888,833$888,833$0$0$NoLien
Bryce MisleyMonsters (CLB)C221999-09-05Yes185 Lbs6 ft1NoNoNo2Pro & Farm650,000$650,000$450,000$450,000$0$0$No650,000$Lien
Cale FleuryMonsters (CLB)D231998-11-18No213 Lbs6 ft1NoNoNo1Pro & Farm883,333$883,333$883,333$883,333$0$0$NoLien
Charles HudonMonsters (CLB)LW/RW271994-06-23No190 Lbs5 ft10NoNoNo2Pro & Farm650,000$650,000$650,000$650,000$0$0$No650,000$Lien
Colton PointMonsters (CLB)G241998-03-04Yes230 Lbs6 ft5NoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Connor DewarMonsters (CLB)C/LW221999-06-26No182 Lbs5 ft10NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Donovan SebrangoMonsters (CLB)D202002-01-12Yes194 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Drew HellesonMonsters (CLB)D212001-03-26Yes190 Lbs6 ft3NoNoNo3Pro & Farm650,000$650,000$650,000$650,000$0$0$No650,000$650,000$
Gabriel CarlssonMonsters (CLB)D251997-01-02No203 Lbs6 ft5NoNoNo1Pro & Farm725,000$725,000$725,000$725,000$0$0$NoLien
Jack BadiniMonsters (CLB)C/LW241998-01-19Yes203 Lbs6 ft0NoNoNo2Pro & Farm815,000$815,000$805,000$805,000$0$0$No815,000$Lien
Jack DruryMonsters (CLB)C222000-02-03Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Jakub SkarekMonsters (CLB)G221999-11-10Yes202 Lbs6 ft3NoNoNo1Pro & Farm927,500$927,500$927,500$927,500$0$0$NoLien
Jan JenikMonsters (CLB)C212000-09-15Yes161 Lbs6 ft1NoNoNo2Pro & Farm902,500$902,500$795,000$795,000$0$0$No902,500$Lien
Jesse YlonenMonsters (CLB)RW221999-10-03Yes187 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$880,833$880,833$0$0$No925,000$Lien
Kaedan KorczakMonsters (CLB)D212001-01-29Yes192 Lbs6 ft4NoNoNo2Pro & Farm905,000$905,000$795,000$795,000$0$0$No905,000$Lien
Kevin StenlundMonsters (CLB)C/RW251996-09-20No215 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Michael McCarronMonsters (CLB)C/RW271995-03-07No232 Lbs6 ft6NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Mike ReillyMonsters (CLB)D281993-07-13No199 Lbs6 ft1NoYesNo1Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$NoLien
Rasmus AsplundMonsters (CLB)C/LW/RW241997-12-03No189 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Riley StillmanMonsters (CLB)D241998-03-09No196 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$900,000$900,000$0$0$NoLien
Ryan JonesMonsters (CLB)D261996-05-26No214 Lbs6 ft2NoNoNo2Pro & Farm650,000$650,000$450,000$450,000$0$0$No650,000$Lien
Sonny MilanoMonsters (CLB)LW261996-05-12No194 Lbs6 ft0NoNoNo3Pro & Farm1,700,000$1,700,000$1,700,000$1,700,000$0$0$No1,700,000$1,700,000$Lien
Tyler BensonMonsters (CLB)LW241998-03-15No192 Lbs6 ft0NoNoNo1Pro & Farm863,333$863,333$863,333$863,333$0$0$NoLien
Ville HeinolaMonsters (CLB)D212001-03-02No178 Lbs5 ft11NoNoNo1Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.52196 Lbs6 ft11.60909,020$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rasmus AsplundKevin StenlundJesse Ylonen35122
2Connor DewarAntoine Morand30122
3Tyler BensonJan Jenik25122
4Jack BadiniAntoine MorandKevin Stenlund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyRiley Stillman35122
2Brendan Guhle30122
3Cale Fleury25122
4Mike ReillyRiley Stillman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rasmus AsplundKevin StenlundJesse Ylonen60122
2Connor DewarAntoine Morand40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyRiley Stillman60122
2Brendan Guhle40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin StenlundRasmus Asplund60122
2Tyler Benson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyRiley Stillman60122
2Brendan Guhle40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Stenlund60122Mike ReillyRiley Stillman60122
2Rasmus Asplund40122Brendan Guhle40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kevin StenlundRasmus Asplund60122
2Tyler Benson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyRiley Stillman60122
2Brendan Guhle40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rasmus AsplundKevin StenlundJesse YlonenMike ReillyRiley Stillman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rasmus AsplundKevin StenlundJesse YlonenMike ReillyRiley Stillman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Jan Jenik, Jan Jenik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cale Fleury, , Brendan GuhleCale Fleury, Brendan Guhle
Tirs de pénalité
Kevin Stenlund, Rasmus Asplund, , Tyler Benson, Jesse Ylonen
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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$ 2,272,549$ 2,205,382$ 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

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 (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