Monsters
GP: 82 | W: 44 | L: 34 | OTL: 4 | P: 92
GF: 282 | GA: 296 | PP%: 17.54% | PK%: 80.94%
DG: Eric Leclerc | Morale : 75 | Moyenne d’équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Monsters
44-34-4, 92pts
3
FINAL
1 Admirals
38-38-6, 82pts
Team Stats
W4StreakL3
18-20-3Home Record23-16-2
26-14-1Away Record15-22-4
6-3-1Last 10 Games7-3-0
3.44Buts par match 3.59
3.61Buts contre par match 3.79
17.54%Pourcentage en avantage numérique24.44%
80.94%Pourcentage en désavantage numérique76.34%
Wolves
41-33-8, 90pts
1
FINAL
6 Monsters
44-34-4, 92pts
Team Stats
L3StreakW4
25-11-5Home Record18-20-3
16-22-3Away Record26-14-1
5-4-1Last 10 Games6-3-1
3.74Buts par match 3.44
3.62Buts contre par match 3.61
21.61%Pourcentage en avantage numérique17.54%
83.06%Pourcentage en désavantage numérique80.94%
Meneurs d'équipe
Anthony StolarzVictoires
Anthony Stolarz
42
Charlie LindgrenPourcentage d’arrêts
Charlie Lindgren
0.937

Statistiques d’équipe
Buts pour
282
3.44 GFG
Tirs pour
2940
35.85 Avg
Pourcentage en avantage numérique
17.5%
47 GF
Début de zone offensive
39.7%
Buts contre
296
3.61 GAA
Tirs contre
3020
36.83 Avg
Pourcentage en désavantage numérique
80.9%
53 GA
Début de la zone défensive
42.0%
Information d’équipe

Directeur généralEric Leclerc
EntraîneurJeremy Colliton
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,962
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 80
Espoirs32


Historique d'équipe

Saison actuelle44-34-4 (92PTS)
Historique119-111-18 (0.480%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)2-4
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
1Liam Foudy (R)0XX100.00643695727880776763616269656263075650231925,000$
2Rasmus Asplund0XXX100.005534957069828468726759636466670756402611,650,000$
3Brendan Lemieux0XX100.008982586680767763566162576268700756402711,688,000$
4Wayne Simmonds0XX100.008385616377737661656257555988760756303524,000,000$
5Alex Steeves (R)0X100.00633784647488846371655860626466075630242950,000$
6Graeme Clarke (R)0X100.00583787646791826366646258636264075620223950,000$
7Turner Elson0X100.00673885607381885966585758627173075620311925,000$
8Xavier Simoneau (R)0X100.00634166646267716370675565636267075610223950,000$
9Patrick Guay (R)0X100.00573974566673625562565753566163075570213950,000$
10Xavier Parent (R)0XX100.00623687566271615553525851576264075570223950,000$
11Pierre-Olivier Joseph0X100.00683580747788866730736157536365075660243995,000$
12Justin Barron (R)0X100.00703891678185816530676362536263075650222950,000$
13Gustav Lindstrom0X100.00653687657886786330725466496567075640253998,900$
14Jordan Spence (R)0X100.00633785666790856430696062516264075640222950,000$
15Brayden Pachal (R)0X100.00774364598182856030645865496466075630243995,000$
16William Lagesson (R)0X100.00714180608279805830655560486769075620271750,000$
Rayé
1Logan Brown0X100.00807591649678766773686063656668075660251995,000$
2Brendan Brisson (R)0XXX100.00593972666884716567646358656264075620223950,000$
3Nathan Legare (R)0X100.00664174557585835458555657536264075590222950,000$
4Jacob Larsson0X100.006740756679788362306358615066680756302621,200,000$
5John Parker-Jones0X100.00904860539963625230515561466365075590233875,000$
MOYENNE D’ÉQUIPE100.0068457963768078625263596057656607562
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
1Anthony Stolarz100.00837469988281838281838270830757102932,638,000$
2Charlie Lindgren100.0081656076807981807981807084075680301875,000$
Rayé
1Remi Poirier (R)100.0072596082717072717072716267075630223950,000$
MOYENNE D’ÉQUIPE100.007966638578777978777978677807567
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton75717272585488CAN382900,000$


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
1Rasmus AsplundMonsters (CBJ)C/LW/RW7333377030042243037522910.89%22154921.2399186519712361517254.07%143900010.9003000431
2Liam FoudyMonsters (CBJ)C/RW7328346215009214342992428.19%36168923.1467136220610192445151.75%62800000.7324000444
3Logan BrownMonsters (CBJ)C691448622219588221246601865.69%24164023.7729113717703382253056.38%232700000.7604001253
4Jordan SpenceMonsters (CBJ)D73144054-1500119127123428311.38%97158221.6761016781931011185400.00%000000.6800000211
5Justin BarronMonsters (CBJ)D72143953125801508514945989.40%117158822.063912741781011163130.00%000000.6700000243
6Alex SteevesMonsters (CBJ)C6718294717100461481344411213.43%1090313.490115320001145155.97%104700001.0400000334
7Brendan BrissonMonsters (CBJ)C/LW/RW67182846-1100351051704513610.59%8108016.12358271150001151255.03%39800000.8511000232
8Graeme ClarkeMonsters (CBJ)RW59212142-12013781904712411.05%996616.3923518880001154448.86%8800010.8711000321
9Brendan LemieuxMonsters (CBJ)LW/RW732219411010410322862016112210.95%14146520.073363320411241224147.93%21700000.5613110324
10Wayne SimmondsMonsters (CBJ)LW/RW7319193827210300851814410910.50%9132418.146713351911011363351.35%11100100.5702002332
11Brayden PachalMonsters (CBJ)D69627331089151576246174313.04%81100914.6411211400110109000.00%000000.6500003220
12Jacob LarssonMonsters (CBJ)D726263210200605158103510.34%59106714.830111443011265110.00%000000.6000000015
13Gustav LindstromMonsters (CBJ)D5922931-634075716728502.99%83102117.3111011371330002116000.00%000000.6100000002
14Pierre-Olivier JosephMonsters (CBJ)D556243012500123768437647.14%64122422.26044391390111105010.00%000000.4900000202
15Turner ElsonMonsters (CBJ)LW731415294160756214932889.40%1397613.37000240000152248.44%6400000.5900000212
16Nathan LegareMonsters (CBJ)RW561351814255441460184621.67%44978.8900000000000241.18%3400100.7200001123
17Xavier SimoneauMonsters (CBJ)C7351015-110050627215456.94%104656.38000100000131053.33%24000000.6411000011
18William LagessonMonsters (CBJ)D70113141316040342810143.57%425988.55000541000044000.00%000000.4700000000
19John Parker-JonesMonsters (CBJ)D3401151803565340.00%91544.5500013000013000.00%000000.1300000000
20Patrick GuayMonsters (CBJ)C13000-200110010.00%0151.2000000000000043.75%1600000.0000000000
21Xavier ParentMonsters (CBJ)C/LW9000000200000.00%1121.3500000000000050.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne12822544647181376034517481812260873218319.74%7122083416.25427912154419926915381658412354.53%661100220.69619117353740
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
1Anthony StolarzMonsters (CBJ)73422630.9073.1141650321623280120.83318730642
2Charlie LindgrenMonsters (CBJ)82000.9372.202460091420000.0000073000
Statistiques d’équipe totales ou en moyenne81442630.9093.0644110322524700120.833187373642


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
Alex SteevesMonsters (CBJ)C2412/10/1999Yes196 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Anthony Stolarz (contrat à 1 volet)Monsters (CBJ)G291/20/1994No243 Lbs6 ft6NoNoYes3Pro & Farm2,638,000$2,638,000$2,638,000$0$No2,638,000$2,638,000$Lien / Lien NHL
Brayden PachalMonsters (CBJ)D248/23/1999Yes203 Lbs6 ft2NoNoNo3Pro & Farm995,000$995,000$0$0$No995,000$995,000$Lien / Lien NHL
Brendan BrissonMonsters (CBJ)C/LW/RW2210/22/2001Yes179 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Brendan Lemieux (contrat à 1 volet)Monsters (CBJ)LW/RW273/15/1996No215 Lbs6 ft1NoNoNo1Pro & Farm1,688,000$1,688,000$1,688,000$0$NoLien / Lien NHL
Charlie LindgrenMonsters (CBJ)G3012/18/1993No179 Lbs6 ft2NoNoYes1Pro & Farm875,000$875,000$0$0$NoLien / Lien NHL
Graeme ClarkeMonsters (CBJ)RW224/24/2001Yes175 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien NHL
Gustav LindstromMonsters (CBJ)D2510/20/1998No186 Lbs6 ft2NoNoNo3Pro & Farm998,900$998,900$0$0$No998,900$998,900$Lien / Lien NHL
Jacob Larsson (contrat à 1 volet)Monsters (CBJ)D264/29/1997No193 Lbs6 ft2NoNoNo2Pro & Farm1,200,000$1,200,000$1,200,000$0$No1,200,000$Lien / Lien NHL
John Parker-JonesMonsters (CBJ)D234/7/2000No230 Lbs6 ft7NoNoNo3Pro & Farm875,000$875,000$0$0$No875,000$875,000$Lien / Lien NHL
Jordan SpenceMonsters (CBJ)D222/24/2001Yes180 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Justin BarronMonsters (CBJ)D2211/15/2001Yes201 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Liam FoudyMonsters (CBJ)C/RW232/4/2000Yes188 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Logan BrownMonsters (CBJ)C253/5/1998No218 Lbs6 ft6NoNoNo1Pro & Farm995,000$995,000$0$0$NoLien / Lien NHL
Nathan LegareMonsters (CBJ)RW221/11/2001Yes205 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Patrick GuayMonsters (CBJ)C214/29/2002Yes181 Lbs5 ft9NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Pierre-Olivier JosephMonsters (CBJ)D247/1/1999No185 Lbs6 ft2NoNoNo3Pro & Farm995,000$995,000$0$0$No995,000$995,000$Lien / Lien NHL
Rasmus Asplund (contrat à 1 volet)Monsters (CBJ)C/LW/RW2612/3/1997No185 Lbs5 ft11NoNoNo1Pro & Farm1,650,000$1,650,000$1,650,000$0$NoLien / Lien NHL
Remi PoirierMonsters (CBJ)G2210/6/2001Yes210 Lbs6 ft2NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Turner ElsonMonsters (CBJ)LW319/13/1992No191 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Wayne Simmonds (contrat à 1 volet)Monsters (CBJ)LW/RW358/26/1988No184 Lbs6 ft2NoNoNo2Pro & Farm4,000,000$4,000,000$4,000,000$0$No4,000,000$Lien / Lien NHL
William LagessonMonsters (CBJ)D272/22/1996Yes207 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Xavier ParentMonsters (CBJ)C/LW223/23/2001Yes170 Lbs5 ft8NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Xavier SimoneauMonsters (CBJ)C225/19/2001Yes183 Lbs5 ft6NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.83195 Lbs6 ft12.171,208,746$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxLiam FoudyRasmus Asplund40122
2Wayne SimmondsAlex SteevesGraeme Clarke30122
3Turner ElsonXavier Simoneau20122
4Xavier ParentXavier SimoneauLiam Foudy10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJustin Barron40122
2Gustav LindstromJordan Spence30122
3Brayden Pachal20122
4William LagessonPierre-Olivier Joseph10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxLiam FoudyRasmus Asplund60122
2Wayne SimmondsAlex SteevesGraeme Clarke40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJustin Barron60122
2Gustav LindstromJordan Spence40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyBrendan Lemieux60122
2Rasmus AsplundWayne Simmonds40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJustin Barron60122
2Gustav LindstromJordan Spence40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Liam Foudy60122Pierre-Olivier JosephJustin Barron60122
2Brendan Lemieux40122Gustav LindstromJordan Spence40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyBrendan Lemieux60122
2Rasmus AsplundWayne Simmonds40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJustin Barron60122
2Gustav LindstromJordan Spence40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxLiam FoudyRasmus AsplundPierre-Olivier JosephJustin Barron
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxLiam FoudyRasmus AsplundPierre-Olivier JosephJustin Barron
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrick Guay, Turner Elson, Patrick Guay, Turner Elson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Brayden Pachal, William LagessonBrayden Pachal, William Lagesson
Tirs de pénalité
Liam Foudy, Brendan Lemieux, Rasmus Asplund, Wayne Simmonds, Alex Steeves
Gardien
#1 : Anthony Stolarz, #2 : Charlie Lindgren
Lignes d’attaque personnalisées en prolongation
Liam Foudy, Brendan Lemieux, Rasmus Asplund, Wayne Simmonds, Alex Steeves, Graeme Clarke, Graeme Clarke, Turner Elson, , Xavier Simoneau, Patrick Guay
Lignes de défense personnalisées en prolongation
Pierre-Olivier Joseph, Justin Barron, Gustav Lindstrom, Jordan Spence,


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
1Admirals22000000624110000003121100000031241.000611170096908910528591005104550652217374125.00%60100.00%11578298152.94%1611314851.18%728137253.06%2025143419105801022516
2Americans3120000069-31010000025-32110000044020.33368140096908910858591005104550112432584300.00%9277.78%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
3Barracuda20001100880100010005411000010034-130.750812200096908910848591005104550592412464125.00%50100.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
4Bears312000001215-31100000085320200000410-620.33312193100969089108085910051045501123822607228.57%10370.00%21578298152.94%1611314851.18%728137253.06%2025143419105801022516
5Bruins3210000056-1220000003121010000025-340.6675101501969089101018591005104550783029551516.67%7271.43%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
6Checkers3300000016791100000052322000000115661.000162743009690891013685910051045501072322827457.14%10280.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
7Comets211000005501010000025-31100000030320.50051015019690891068859100510455088212754300.00%9188.89%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
8Condors210010001073100010004311100000064241.0001019290096908910898591005104550861914506233.33%70100.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
9Crunch31200000710-32020000037-41100000043120.333713200096908910938591005104550833816738225.00%8275.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
10Devils44000000291316220000001551022000000148681.0002954830096908910264859100510455011329288722627.27%14285.71%11578298152.94%1611314851.18%728137253.06%2025143419105801022516
11Eagles210001007521000010023-11100000052330.7507142100969089107285910051045506514165610330.00%8450.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
12Firebirds22000000963110000007521100000021141.000916250096908910788591005104550872523515240.00%9188.89%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
13Griffins30300000416-121010000028-62020000028-600.000471110969089109285910051045501384348748112.50%14192.86%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
14Gulls21100000710-31010000048-41100000032120.50071320009690891061859100510455097272454400.00%12283.33%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
15IceHogs2110000034-11010000024-21100000010120.5003691196908910938591005104550491912361119.09%50100.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
16Marlies31200000710-32110000035-21010000045-120.33371421009690891010985910051045501033018908112.50%9277.78%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
17Moose211000007611010000023-11100000053220.500713200096908910578591005104550632016536116.67%8187.50%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
18Penguins4210001013112211000006602100001075260.7501321340096908910110859100510455015138419816212.50%17288.24%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
19Phantoms413000001424-1020200000415-1121100000109120.25014253900969089101498591005104550190643011015426.67%13284.62%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
20Reign2020000048-41010000025-31010000023-100.0004711009690891064859100510455066141444700.00%7185.71%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
21Roadrunners22000000954110000005321100000042241.000918270096908910668591005104550511212354125.00%5260.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
22Rocket31200000512-71010000012-121100000410-620.333510150096908910102859100510455012328127310110.00%4175.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
23Senators3110100011101211000007701000100043140.66711213200969089109985910051045509828417314321.43%16475.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
24Silver Knights20200000610-41010000035-21010000035-200.000612180096908910688591005104550621612438112.50%6433.33%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
25Sound Tigers3210000015114211000009721100000064240.6671528431096908910978591005104550112281475600.00%7185.71%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
26Stars20200000312-91010000027-51010000015-400.0003690096908910478591005104550993019535120.00%7528.57%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
27Thunderbirds220000001293110000006421100000065141.000122234009690891078859100510455084312951300.00%6183.33%11578298152.94%1611314851.18%728137253.06%2025143419105801022516
28Wild20100001712-51000000134-11010000048-410.250714210096908910808591005104550962514487114.29%60100.00%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
29Wolf Pack412010001418-420200000512-72100100096340.5001426400096908910124859100510455016146281141715.88%13284.62%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
30Wolves411000201495210000109362010001056-160.75014233700969089101488591005104550128362810819210.53%14192.86%11578298152.94%1611314851.18%728137253.06%2025143419105801022516
31Wranglers210001007611000010045-11100000031230.750713200096908910948591005104550943114416233.33%7271.43%01578298152.94%1611314851.18%728137253.06%2025143419105801022516
Total82373404331282296-1441152002211138159-21412214021201441377920.561282512794339690891029408591005104550302089267720082684717.54%2785380.94%61578298152.94%1611314851.18%728137253.06%2025143419105801022516
_Since Last GM Reset82373404331282296-1441152002211138159-21412214021201441377920.561282512794339690891029408591005104550302089267720082684717.54%2785380.94%61578298152.94%1611314851.18%728137253.06%2025143419105801022516
_Vs Conference34121402321103120-171756022115260-81778001105160-9360.52910318929222969089101219859100510455012323742947951191815.13%1132280.53%31578298152.94%1611314851.18%728137253.06%2025143419105801022516
_Vs Division1677000215455-1833000112529-48440001029263190.594541041581196908910545859100510455057217313536950918.00%511374.51%21578298152.94%1611314851.18%728137253.06%2025143419105801022516

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292W428251279429403020892677200833
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8237344331282296
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115202211138159
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4122142120144137
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2684717.54%2785380.94%6
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
859100510455096908910
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
1578298152.94%1611314851.18%728137253.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2025143419105801022516


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 - 2023-10-1211Phantoms12Monsters2BLSommaire du match
5 - 2023-10-1422Wolf Pack9Monsters3BLSommaire du match
7 - 2023-10-1635Griffins8Monsters2BLSommaire du match
11 - 2023-10-2063Wranglers5Monsters4BLXSommaire du match
12 - 2023-10-2173Monsters4Wild8ALSommaire du match
15 - 2023-10-2484Gulls8Monsters4BLSommaire du match
17 - 2023-10-26103Monsters0Rocket7ALSommaire du match
19 - 2023-10-28121Sound Tigers6Monsters4BLSommaire du match
21 - 2023-10-30136Monsters1Stars5ALSommaire du match
24 - 2023-11-02146Crunch4Monsters3BLSommaire du match
26 - 2023-11-04166Monsters3Bears5ALSommaire du match
28 - 2023-11-06176Monsters7Checkers3AWSommaire du match
31 - 2023-11-09194Stars7Monsters2BLSommaire du match
33 - 2023-11-11210Monsters2Griffins4ALSommaire du match
34 - 2023-11-12225Monsters4Wolf Pack2AWSommaire du match
36 - 2023-11-14230Penguins3Monsters4BWSommaire du match
38 - 2023-11-16243Roadrunners3Monsters5BWSommaire du match
40 - 2023-11-18263Monsters1Bears5ALSommaire du match
41 - 2023-11-19268Monsters3Phantoms5ALSommaire du match
44 - 2023-11-22280IceHogs4Monsters2BLSommaire du match
46 - 2023-11-24297Monsters6Devils4AWSommaire du match
48 - 2023-11-26318Monsters4Wolves3AWXXSommaire du match
49 - 2023-11-27321Bruins0Monsters1BWSommaire du match
51 - 2023-11-29337Rocket2Monsters1BLSommaire du match
53 - 2023-12-01354Senators4Monsters3BLSommaire du match
55 - 2023-12-03371Monsters2Bruins5ALSommaire du match
57 - 2023-12-05381Reign5Monsters2BLSommaire du match
59 - 2023-12-07397Monsters6Sound Tigers4AWSommaire du match
60 - 2023-12-08405Thunderbirds4Monsters6BWSommaire du match
62 - 2023-12-10420Checkers2Monsters5BWSommaire du match
66 - 2023-12-14449Monsters4Marlies5ALSommaire du match
68 - 2023-12-16464Devils2Monsters7BWSommaire du match
71 - 2023-12-19485Monsters1Americans3ALSommaire du match
73 - 2023-12-21499Bears5Monsters8BWSommaire du match
75 - 2023-12-23518Marlies1Monsters2BWSommaire du match
79 - 2023-12-27528Monsters8Devils4AWSommaire du match
81 - 2023-12-29546Marlies4Monsters1BLSommaire du match
82 - 2023-12-30556Monsters3Americans1AWSommaire du match
85 - 2024-01-02574Bruins1Monsters2BWSommaire du match
87 - 2024-01-04592Monsters7Phantoms4AWSommaire du match
89 - 2024-01-06610Wild4Monsters3BLXXSommaire du match
92 - 2024-01-09631Monsters5Moose3AWSommaire du match
96 - 2024-01-13659Firebirds5Monsters7BWSommaire du match
98 - 2024-01-15673Comets5Monsters2BLSommaire du match
102 - 2024-01-19703Devils3Monsters8BWSommaire du match
106 - 2024-01-23736Monsters6Condors4AWSommaire du match
108 - 2024-01-25753Monsters3Wranglers1AWSommaire du match
110 - 2024-01-27771Monsters3Comets0AWSommaire du match
111 - 2024-01-28774Monsters2Firebirds1AWSommaire du match
113 - 2024-01-30776Monsters6Thunderbirds5AWSommaire du match
124 - 2024-02-10812Crunch3Monsters0BLSommaire du match
127 - 2024-02-13826Monsters4Senators3AWXSommaire du match
131 - 2024-02-17861Monsters3Barracuda4ALXSommaire du match
134 - 2024-02-20883Monsters2Reign3ALSommaire du match
135 - 2024-02-21886Monsters3Gulls2AWSommaire du match
137 - 2024-02-23900Americans5Monsters2BLSommaire du match
139 - 2024-02-25921Wolf Pack3Monsters2BLSommaire du match
142 - 2024-02-28939Monsters5Wolf Pack4AWXSommaire du match
143 - 2024-02-29942Wolves2Monsters3BWXXSommaire du match
145 - 2024-03-02965Monsters1IceHogs0AWSommaire du match
147 - 2024-03-04975Silver Knights5Monsters3BLSommaire du match
148 - 2024-03-05983Monsters2Penguins1AWSommaire du match
150 - 2024-03-07995Condors3Monsters4BWXSommaire du match
152 - 2024-03-091010Admirals1Monsters3BWSommaire du match
155 - 2024-03-121033Monsters4Rocket3AWSommaire du match
157 - 2024-03-141047Senators3Monsters4BWSommaire du match
159 - 2024-03-161066Barracuda4Monsters5BWXSommaire du match
160 - 2024-03-171076Moose3Monsters2BLSommaire du match
162 - 2024-03-191083Monsters0Griffins4ALSommaire du match
165 - 2024-03-221111Monsters5Eagles2AWSommaire du match
166 - 2024-03-231123Monsters3Silver Knights5ALSommaire du match
169 - 2024-03-261145Monsters4Roadrunners2AWSommaire du match
171 - 2024-03-281154Monsters5Penguins4AWXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301172Penguins3Monsters2BLSommaire du match
175 - 2024-04-011181Eagles3Monsters2BLXSommaire du match
178 - 2024-04-041203Sound Tigers1Monsters5BWSommaire du match
180 - 2024-04-061222Phantoms3Monsters2BLSommaire du match
181 - 2024-04-071230Monsters1Wolves3ALSommaire du match
183 - 2024-04-091245Monsters4Crunch3AWSommaire du match
185 - 2024-04-111256Monsters4Checkers2AWSommaire du match
187 - 2024-04-131278Monsters3Admirals1AWSommaire du match
190 - 2024-04-161296Wolves1Monsters6BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,98240,476
Assistance PCT98.76%98.72%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2962 - 98.75% 80,234$3,289,614$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,636,743$ 1,783,390$ 1,583,390$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,288$ 1,729,673$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,976$ 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
1Liam Foudy153748816233208850169110.71%61323321.132017371151231113356.84%01.0037
2Logan Brown1464996145371103615055458.99%53344223.5882331760331410256.36%20.8418
3Rasmus Asplund12566771432783433156911.60%40275122.011518331072351412354.64%31.0419
4Pierre-Olivier Joseph15423110133281013532242688.58%204357323.20826341261234020.00%00.7400
5Alex Steeves1405068118173114138242111.88%30229016.36310133300048154.08%21.0302

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
1Ilya Samsonov83552530.9152.8949658223928020210.75929
2Anthony Stolarz73422630.9073.1141650321623280120.83318
3Charlie Lindgren54291310.9033.2327282114715210210.85714
4Kevin Poulin33121140.8863.961635201089510400.0000
5Sean Bonar57104040.8955.5929084027125700120.7508

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
2382224904223281386-10541132202202148189-414192702021133197-6461281514795201121006383135104410341024543890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
20228239280563134230933412410034001761354141151802231166174-81013426229641113010797930199731005100454283885150519462587127.52%2085374.52%21687304355.44%1492281852.95%727143150.80%2147155117995581015525
202382373404331282296-1441152002211138159-2141221402120144137792282512794339690891029408591005104550302089267720082684717.54%2785380.94%61578298152.94%1611314851.18%728137253.06%2025143419105801022516
Total Saison régulière246981110131185905991-86123525207813462483-21123465906372443508-652549051648255364338297249279094287630443073158974828231679610375916822.13%70716077.37%114446898149.50%4493959746.82%2027427447.43%583941315998173330401505
Séries éliminatoires
2022624000001820-231200000910-131200000910-1418304810963022471585144200696015723313.04%30680.00%011624447.54%11323448.29%6510959.63%183128165529145
Total Séries éliminatoires624000001820-231200000910-131200000910-1418304810963022471585144200696015723313.04%30680.00%011624447.54%11323448.29%6510959.63%183128165529145

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
1Liam Foudy6606202243517.14%314824.68101500011158.17%00.8100
2Rasmus Asplund4246121151513.33%211228.07022100000027.27%01.0700
3Philip Tomasino62240038287.14%014123.63101200010054.55%00.5600
4Juuso Valimaki604418131460.00%1016026.7701110000000.00%00.5000
5Maxim Letunov6224-14671612.50%110217.06000000000053.85%00.7800

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
1Charlie Lindgren42110.9022.5730420131320000.0000
2Kevin Poulin20100.9042.80107005520010.0000