Monsters
GP: 82 | W: 28 | L: 49 | OTL: 5 | P: 61
GF: 281 | GA: 386 | PP%: 21.46% | PK%: 75.57%
DG: Pascal Simoneau | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Monsters
28-49-5, 61pts
4
FINAL
7 Bears
44-31-7, 95pts
Team Stats
W1StreakW6
15-22-4Home Record23-15-3
13-27-1Away Record21-16-4
8-2-0Last 10 Games8-2-0
3.43Buts par match 3.87
4.71Buts contre par match 3.56
21.46%Pourcentage en avantage numérique20.82%
75.57%Pourcentage en désavantage numérique76.90%
Crunch
34-37-11, 79pts
1
FINAL
2 Monsters
28-49-5, 61pts
Team Stats
L1StreakW1
18-18-5Home Record15-22-4
16-19-6Away Record13-27-1
3-6-1Last 10 Games8-2-0
3.52Buts par match 3.43
3.95Buts contre par match 4.71
17.19%Pourcentage en avantage numérique21.46%
82.11%Pourcentage en désavantage numérique75.57%
Meneurs d'équipe
Dylan GambrellButs
Dylan Gambrell
20
Dylan GambrellPasses
Dylan Gambrell
20
Dylan GambrellPoints
Dylan Gambrell
40
Dylan GambrellPlus/Moins
Dylan Gambrell
10
Ilya SamsonovVictoires
Ilya Samsonov
55
Ilya SamsonovPourcentage d’arrêts
Ilya Samsonov
0.915

Statistiques d’équipe
Buts pour
281
3.43 GFG
Tirs pour
3135
38.23 Avg
Pourcentage en avantage numérique
21.5%
50 GF
Début de zone offensive
36.7%
Buts contre
386
4.71 GAA
Tirs contre
3890
47.44 Avg
Pourcentage en désavantage numérique
75.6%
54 GA
Début de la zone défensive
45.1%
Information d’équipe

Directeur généralPascal Simoneau
EntraîneurBenoit Groulx
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,946
Billets de saison300


Information formation

Équipe Pro36
Équipe Mineure21
Limite contact 57 / 80
Espoirs68


Historique d'équipe

Saison actuelle28-49-5 (61PTS)
Historique1104-1048-210 (0.467%)
Apparitions séries éliminatoires 13
Historique séries éliminatoires (W-L)67-69
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)0X100.00623593767982807377696268726366075670213925,000$
2Tyler Graovac0X100.00653989639183776478626963687567075650281700,000$
3Philip Tomasino (R)0X100.00624383697285826872676663736162075650203925,000$
4Mitchell Stephens0X100.00723593657086806377646260636764075640242750,000$
5Devante Smith-Pelly0X100.007367895880768561535957635277690756302916,000,000$
6Brian Gibbons0X100.00553592656375776267646163598273075630332900,000$
7Garrett Wilson0XX100.00776971568778835659585660567873075620302900,000$
8Kevin Lynch0X100.00664878577586915663585659567870075610301700,000$
9Turner Elson0X100.00645174587383885762605657597772075610293925,000$
10Matt Lorito0X100.00553985596481865861575856597771075600311900,000$
11Juuso Valimaki (R)0X100.00594183658386746930725971546567075650233925,000$
12Pierre-Olivier Joseph0X100.00743888717782786430685965526364075650222925,000$
13Cal Foote0X100.00755572659279866330645866526567075640231997,000$
14Jake Bean0X100.00563593717585846630725759526563075640231900,000$
15Steven Santini0X100.00813987628175726130635762497166075630262890,000$
16Gustav Lindstrom0X100.00764285627887736330655764506563075630232925,000$
17Logan Stanley0X100.007986715999878558306156634865630756302331,141,000$
18William Lagesson0X100.00633790628279786130655867496965075630251700,000$
Rayé
1Rasmus Asplund0XXX86.72593592737279836978666370686764075660241894,000$
2Alexander Holtz (R)0X100.00643593617372775852565759626163075600193925,000$
3Cliff Pu0X100.00693986587871765773605456586563075600232999,999$
4Tanner MacMaster0X100.00563470596578835860565763556965075600252700,000$
5Travis St. Denis0X100.00615865596183885864575953607769075600293925,000$
6Nathan Todd0X100.00613888577079775876595756597166075600262700,000$
7Ryan Dmowski0X100.00673986567963685452535755566764075590242700,000$
8Derek Hulak0X100.00624681557176695254535652548072075580322700,000$
9Lewis Zerter-Gossage0X100.00693593527875725355515456537166075580262700,000$
10Luke Evangelista (R)0X100.00573689556660655561595053575959075570193925,000$
11Devante Stephens0X100.00714879598071765730565458506764075600242700,000$
12Logan Roe0X100.00784879518760655130525057457870075580302700,000$
13Michael Kim0X100.00633784567277715430535055467166075580262700,000$
MOYENNE D’ÉQUIPE99.5766448461777878605261576056706607562
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
1Ilya Samsonov100.0088799283878688878688876771075720241987,000$
2Charlie Lindgren100.0075807976747375747375747682075660283875,000$
Rayé
1Pat Nagle100.0071807874706971706971708488075640342700,000$
2Sean Bonar100.0072738172717072717072717884075640302700,000$
3Kevin Poulin100.0069717782686769686769687985075630312700,000$
MOYENNE D’ÉQUIPE100.007577817774737574737574778207566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx76757379827769CAN5322,000,000$


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
1Cal FooteMonsters (CBJ)D8413435629991523787112476011.61%92138216.4548122172000079300.00%000010.8100111135
2Juuso ValimakiMonsters (CBJ)D5212415310300898384426814.29%83119623.019817431410001112010.00%100000.8900000224
3Liam FoudyMonsters (CBJ)C252024441512032104125347116.00%1057623.061051529720222763258.54%84900001.5312000331
4Turner ElsonMonsters (CBJ)LW82271643-113401311362385714211.34%2286810.6000002000070055.56%5400000.9904000242
5Dylan GambrellBlue JacketsC/RW482020401060221361805011111.11%1282217.1345927126000001158.31%120900000.9701000340
6Pierre-Olivier JosephMonsters (CBJ)D246303610120423841112514.63%1956623.6249131568011056000.00%000001.2700000103
7Rasmus AsplundMonsters (CBJ)C/LW/RW241420341500245098226514.29%752721.9744816551125743048.94%4700011.2902000330
8Philip TomasinoMonsters (CBJ)RW2513183114805033106326712.26%250420.1619102173000002148.94%4700001.2302000212
9Kevin LynchMonsters (CBJ)C8252530-11280143856921567.25%627328.9300011000020051.60%21900000.8224000110
10Brian GibbonsMonsters (CBJ)C37121123-7404110412132929.92%2255314.97011836000020149.34%30400110.8311000202
11Tyler GraovacMonsters (CBJ)C2598177100195086256410.47%1045718.3004413610001451158.44%60400000.7401000022
12Gustav LindstromMonsters (CBJ)D2531114620055112541912.00%3136314.530002310115100.00%000000.7700000012
13Jake BeanMonsters (CBJ)D2511213612025252912163.45%2853121.270331162000154000.00%000000.4900000001
14Garrett WilsonMonsters (CBJ)LW/RW25448813571204210279.52%346918.770222590005501038.18%5500000.3400100100
15Mitchell StephensMonsters (CBJ)C25538260241945153111.11%11686.7500000000021045.00%2000000.9501000100
16Steven SantiniMonsters (CBJ)D1615608035919765.26%2023814.9300013000015000.00%000100.5000000001
17Devante Smith-PellyMonsters (CBJ)RW2532586028215415455.56%534613.8500002000000250.00%3400000.2900000000
18Alexander HoltzMonsters (CBJ)RW140443007612890.00%11269.03033137000000057.14%700000.6300000000
19Zac RinaldoBlue JacketsC/LW/RW8224-24014151962210.53%4749.3200000000000047.32%11200001.0700000000
20Cliff PuMonsters (CBJ)RW15123100229224104.55%017111.4000010000000136.36%1100000.3500000000
Statistiques d’équipe totales ou en moyenne68617130147211331220111110411527454100611.20%4341067815.5736619721288024616585161056.03%357300230.88418211222425
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
1Ilya SamsonovMonsters (CBJ)83552530.9152.8949658223928020210.75929830862
2Sean BonarMonsters (CBJ)57104040.8955.5929084027125700120.75085757324
Statistiques d’équipe totales ou en moyenne140656570.9053.89787312251053720330.75737140571186


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
Alexander HoltzMonsters (CBJ)RW191/23/2002Yes192 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Brian GibbonsMonsters (CBJ)C332/26/1988No175 Lbs5 ft8NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$No900,000$Lien / Lien NHL
Cal FooteMonsters (CBJ)D2312/13/1998No221 Lbs6 ft4NoNoNo1Pro & Farm997,000$5,508$997,000$5,508$0$0$NoLien / Lien NHL
Charlie LindgrenMonsters (CBJ)G2812/18/1993No182 Lbs6 ft1NoNoNo3Pro & Farm875,000$4,834$875,000$4,834$0$0$No875,000$875,000$Lien / Lien NHL
Cliff PuMonsters (CBJ)RW236/3/1998No187 Lbs6 ft2NoNoNo2Pro & Farm999,999$5,525$999,999$5,525$0$0$No999,999$Lien / Lien NHL
Derek HulakMonsters (CBJ)LW329/2/1989No185 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Devante Smith-Pelly (contrat à 1 volet)Monsters (CBJ)RW296/14/1992No223 Lbs6 ft0NoNoNo1Pro & Farm6,000,000$33,149$6,000,000$33,149$6,000,000$33,149$NoLien
Devante StephensMonsters (CBJ)D241/2/1997No185 Lbs6 ft3NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Garrett WilsonMonsters (CBJ)LW/RW303/16/1991No218 Lbs6 ft3NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$No900,000$Lien / Lien NHL
Gustav LindstromMonsters (CBJ)D2310/20/1998No190 Lbs6 ft2NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Ilya SamsonovMonsters (CBJ)G242/22/1997No200 Lbs6 ft3NoNoNo1Pro & Farm987,000$5,453$987,000$5,453$0$0$NoLien / Lien NHL
Jake BeanMonsters (CBJ)D236/9/1998No186 Lbs6 ft1NoNoNo1Pro & Farm900,000$4,972$700,000$3,867$0$0$NoLien / Lien NHL
Juuso ValimakiMonsters (CBJ)D2310/6/1998Yes212 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien
Kevin LynchMonsters (CBJ)C304/23/1991No190 Lbs6 ft1NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
Kevin PoulinMonsters (CBJ)G314/12/1990No206 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Lewis Zerter-GossageMonsters (CBJ)RW265/23/1995No190 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Liam FoudyMonsters (CBJ)C212/4/2000Yes193 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Logan RoeMonsters (CBJ)D3012/29/1991No205 Lbs6 ft4NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Logan StanleyMonsters (CBJ)D235/26/1998No228 Lbs6 ft7NoNoNo3Pro & Farm1,141,000$6,304$1,141,000$6,304$0$0$No1,141,000$1,141,000$Lien / Lien NHL
Luke EvangelistaMonsters (CBJ)RW192/21/2002Yes166 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Matt LoritoMonsters (CBJ)RW317/3/1990No171 Lbs5 ft9NoNoNo1Pro & Farm900,000$4,972$900,000$4,972$0$0$NoLien / Lien NHL
Michael KimMonsters (CBJ)D266/28/1995No200 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Mitchell StephensMonsters (CBJ)C242/5/1997No190 Lbs5 ft11NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Nathan ToddMonsters (CBJ)C2612/2/1995No176 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Pat NagleMonsters (CBJ)G349/21/1987No169 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Philip TomasinoMonsters (CBJ)RW207/28/2001Yes179 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Pierre-Olivier JosephMonsters (CBJ)D227/1/1999No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Rasmus Asplund (sur la masse salariale)Monsters (CBJ)C/LW/RW2412/3/1997No189 Lbs5 ft11NoNoNo1Pro & Farm894,000$4,939$894,000$4,939$0$0$YesLien / Lien NHL
Ryan DmowskiMonsters (CBJ)LW243/11/1997No209 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Sean BonarMonsters (CBJ)G302/12/1991No174 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Steven SantiniMonsters (CBJ)D263/7/1995No205 Lbs6 ft2NoNoNo2Pro & Farm890,000$4,917$890,000$4,917$0$0$No890,000$Lien / Lien NHL
Tanner MacMasterMonsters (CBJ)LW251/8/1996No171 Lbs5 ft10NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Travis St. DenisMonsters (CBJ)C299/17/1992No169 Lbs5 ft7NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien / Lien NHL
Turner ElsonMonsters (CBJ)LW299/13/1992No195 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien / Lien NHL
Tyler GraovacMonsters (CBJ)C284/27/1993No208 Lbs6 ft5NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
William LagessonMonsters (CBJ)D252/22/1996No207 Lbs6 ft2NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3626.03193 Lbs6 ft12.00979,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudyPhilip Tomasino40113
2Garrett WilsonTyler GraovacDevante Smith-Pelly30113
3Turner Elson20122
4Mitchell StephensKevin Lynch10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FootePierre-Olivier Joseph42122
2Jake BeanJuuso Valimaki34122
3Gustav Lindstrom24122
4Juuso Valimaki0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoLiam Foudy60005
2Garrett WilsonTyler Graovac40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FootePierre-Olivier Joseph60122
2Jake BeanJuuso Valimaki40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Liam Foudy60122
2Tyler GraovacGarrett Wilson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephCal Foote60122
2Juuso ValimakiJake Bean40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mitchell Stephens6012260122
240122Jake Bean40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyPhilip Tomasino60122
2Tyler Graovac40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephCal Foote60122
2Jake BeanJuuso Valimaki40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyPhilip TomasinoCal FootePierre-Olivier Joseph
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler GraovacJuuso ValimakiJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Garrett Wilson, Tyler Graovac, Philip TomasinoGarrett Wilson, Tyler GraovacGarrett Wilson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Gustav Lindstrom, Juuso Valimaki, Gustav Lindstrom
Tirs de pénalité
Liam Foudy, Philip Tomasino, , , Tyler Graovac
Gardien
#1 : Ilya Samsonov, #2 : Charlie Lindgren
Lignes d’attaque personnalisées en prolongation
Liam Foudy, Philip Tomasino, Garrett Wilson, , , , , Tyler Graovac, Kevin Lynch, Turner Elson, Mitchell Stephens
Lignes de défense personnalisées en prolongation
Cal Foote, Pierre-Olivier Joseph, Juuso Valimaki, Jake Bean, Gustav Lindstrom


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
1Admirals20200000711-41010000046-21010000035-200.00071219101121006387210441034102454124361159400.00%3166.67%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
2Americans302000011221-910100000310-720100001911-210.16712213300112100638106104410341024541764518936350.00%9455.56%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
3Barracuda20100010711-41010000027-51000001054120.500710170011210063868104410341024549922244700.00%110.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
4Bears412010001717021001000125720200000512-740.500173047001121006381521044103410245417746289620735.00%12283.33%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
5Bruins30201000610-42010100057-21010000013-220.33361117001121006381111044103410245412244107810220.00%5180.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
6Checkers31200000818-101100000043120200000415-1120.333815230011210063813710441034102454187511078600.00%5260.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
7Comets20200000715-81010000037-41010000048-400.0007142100112100638101104410341024541202917604250.00%6266.67%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
8Condors211000001183110000008351010000035-220.5001119300011210063875104410341024547723104610330.00%5180.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
9Crunch31200000711-42110000047-31010000034-120.3337132000112100638121104410341024541323520857228.57%10190.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
10Devils40300100921-122010010058-320200000413-910.125918271011210063818410441034102454218621010813215.38%50100.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
11Eagles20200000514-91010000049-51010000015-400.000510150011210063859104410341024541103416426116.67%6350.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
12Firebirds2020000037-41010000012-11010000025-300.0003690011210063869104410341024541153214557114.29%7185.71%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
13Griffins312000001012-2110000005412020000058-320.33310182800112100638109104410341024541345014708112.50%7271.43%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
14Gulls210000019901000000145-11100000054130.75091423001121006389110441034102454822218478225.00%80100.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
15Heat21100000512-7110000004311010000019-820.50051015001121006388210441034102454822210386116.67%5340.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
16IceHogs201000101012-21010000036-31000001076120.50010162600112100638841044103410245410920264400.00%10100.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
17Marlies30300000814-620200000510-51010000034-100.000816240011210063810510441034102454167422686600.00%12375.00%11181295739.94%1390363138.28%572147138.89%1666114522885951002462
18Moose2020000047-31010000023-11010000024-200.00047110011210063880104410341024545816852200.00%4175.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
19Penguins412010001520-520200000715-82100100085340.5001529440011210063815810441034102454168501210314428.57%6266.67%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
20Phantoms31200000911-21010000034-12110000067-120.333917260011210063886104410341024541303534636233.33%16287.50%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
21Reign211000007701010000036-31100000041320.5007121900112100638791044103410245474172752600.00%10280.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
22Roadrunners20101000610-41010000016-51000100054120.500612180011210063876104410341024541022914509333.33%7185.71%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
23Rocket32100000141311100000082621100000611-540.667142640001121006381211044103410245413737147911327.27%7271.43%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
24Senators330000001064220000008531100000021161.000102030001121006381001044103410245411738147612325.00%4175.00%11181295739.94%1390363138.28%572147138.89%1666114522885951002462
25Silver Knights220000001459110000005231100000093641.000142741001121006389610441034102454942819654250.00%60100.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
26Sound Tigers4310000024159220000001156211000001310360.75024467000112100638157104410341024541944418967228.57%80100.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
27Stars20200000514-91010000058-31010000006-600.0005712001121006386410441034102454100272759400.00%9544.44%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
28Thunderbirds2110000078-1110000005321010000025-320.500712190011210063879104410341024548417844500.00%4175.00%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
29Wild210000019721000000145-11100000052330.75091726001121006387310441034102454612316645240.00%8187.50%11181295739.94%1390363138.28%572147138.89%1666114522885951002462
30Wolf Pack30300000521-1620200000414-101010000017-600.0005813001121006389210441034102454145512499800.00%12558.33%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
31Wolves403001001119-82010010069-320200000510-510.12511213200112100638148104410341024541955326988225.00%13469.23%01181295739.94%1390363138.28%572147138.89%1666114522885951002462
Total82224904223281386-10541132202202148189-414192702021133197-64610.372281514795201121006383135104410341024543890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
_Since Last GM Reset82224904223281386-10541132202202148189-414192702021133197-64610.372281514795201121006383135104410341024543890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
_Vs Conference3391900122121156-351658001026479-1517411000205777-20250.379121212333101121006381259104410341024541483410214844871416.09%902572.22%11181295739.94%1390363138.28%572147138.89%1666114522885951002462
_Vs Division16311001115080-30824001012842-14817000102238-16100.3135087137101121006385801044103410245476120510243937410.81%421369.05%11181295739.94%1390363138.28%572147138.89%1666114522885951002462

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8261W1281514795313538901080497214920
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8222494223281386
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113222202148189
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
419272021133197
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2335021.46%2215475.57%3
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
10441034102454112100638
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
1181295739.94%1390363138.28%572147138.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1666114522885951002462


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 - 2021-10-1413Roadrunners6Monsters1BLSommaire du match
5 - 2021-10-1628Firebirds2Monsters1BLSommaire du match
8 - 2021-10-1945Monsters2Griffins3ALSommaire du match
10 - 2021-10-2156Sound Tigers3Monsters5BWSommaire du match
12 - 2021-10-2375Wolves5Monsters4BLXSommaire du match
14 - 2021-10-2588Stars8Monsters5BLSommaire du match
18 - 2021-10-29112Monsters1Wolf Pack7ALSommaire du match
20 - 2021-10-31130Monsters0Devils7ALSommaire du match
23 - 2021-11-03146Monsters1Eagles5ALSommaire du match
26 - 2021-11-06170Eagles9Monsters4BLSommaire du match
32 - 2021-11-12209Bears4Monsters5BWXSommaire du match
33 - 2021-11-13218Wolf Pack6Monsters2BLSommaire du match
35 - 2021-11-15231Griffins4Monsters5BWSommaire du match
38 - 2021-11-18256Monsters5Roadrunners4AWXSommaire du match
40 - 2021-11-20271Monsters9Silver Knights3AWSommaire du match
42 - 2021-11-22281Monsters5Americans6ALXXSommaire du match
44 - 2021-11-24295Moose3Monsters2BLSommaire du match
46 - 2021-11-26313Comets7Monsters3BLSommaire du match
47 - 2021-11-27323Monsters2Thunderbirds5ALSommaire du match
50 - 2021-11-30342Monsters3Admirals5ALSommaire du match
52 - 2021-12-02360Monsters0Stars6ALSommaire du match
54 - 2021-12-04373Monsters1Bears5ALSommaire du match
55 - 2021-12-05378Barracuda7Monsters2BLSommaire du match
57 - 2021-12-07388Monsters3Marlies4ALSommaire du match
59 - 2021-12-09404Gulls5Monsters4BLXXSommaire du match
61 - 2021-12-11426Monsters2Firebirds5ALSommaire du match
64 - 2021-12-14449Monsters4Comets8ALSommaire du match
66 - 2021-12-16463Monsters3Condors5ALSommaire du match
68 - 2021-12-18480Monsters1Heat9ALSommaire du match
70 - 2021-12-20489Monsters4Americans5ALSommaire du match
73 - 2021-12-23514Americans10Monsters3BLSommaire du match
77 - 2021-12-27528Marlies5Monsters2BLSommaire du match
78 - 2021-12-28538Monsters7IceHogs6AWXXSommaire du match
80 - 2021-12-30554Admirals6Monsters4BLSommaire du match
82 - 2022-01-01568Wolves4Monsters2BLSommaire du match
85 - 2022-01-04589Crunch6Monsters2BLSommaire du match
87 - 2022-01-06603Monsters4Devils6ALSommaire du match
89 - 2022-01-08621Devils4Monsters3BLXSommaire du match
91 - 2022-01-10630Monsters5Rocket3AWSommaire du match
92 - 2022-01-11640IceHogs6Monsters3BLSommaire du match
94 - 2022-01-13652Monsters3Wolves6ALSommaire du match
96 - 2022-01-15669Monsters2Checkers7ALSommaire du match
99 - 2022-01-18693Monsters6Sound Tigers8ALSommaire du match
101 - 2022-01-20706Monsters1Phantoms5ALSommaire du match
102 - 2022-01-21714Penguins8Monsters3BLSommaire du match
104 - 2022-01-23733Senators3Monsters4BWSommaire du match
107 - 2022-01-26754Heat3Monsters4BWSommaire du match
108 - 2022-01-27763Wolf Pack8Monsters2BLSommaire du match
111 - 2022-01-30788Monsters1Rocket8ALSommaire du match
112 - 2022-01-31791Checkers3Monsters4BWSommaire du match
116 - 2022-02-04816Monsters2Checkers8ALSommaire du match
117 - 2022-02-05823Monsters2Wolves4ALSommaire du match
119 - 2022-02-07843Penguins7Monsters4BLSommaire du match
121 - 2022-02-09853Devils4Monsters2BLSommaire du match
124 - 2022-02-12877Reign6Monsters3BLSommaire du match
125 - 2022-02-13887Bruins5Monsters2BLSommaire du match
127 - 2022-02-15901Marlies5Monsters3BLSommaire du match
131 - 2022-02-19929Wild5Monsters4BLXXSommaire du match
133 - 2022-02-21945Silver Knights2Monsters5BWSommaire du match
136 - 2022-02-24965Monsters2Senators1AWSommaire du match
137 - 2022-02-25971Bears1Monsters7BWSommaire du match
139 - 2022-02-27988Thunderbirds3Monsters5BWSommaire du match
142 - 2022-03-021005Monsters4Penguins2AWSommaire du match
145 - 2022-03-051030Monsters2Moose4ALSommaire du match
146 - 2022-03-061042Monsters5Wild2AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-091063Sound Tigers2Monsters6BWSommaire du match
151 - 2022-03-111077Monsters7Sound Tigers2AWSommaire du match
153 - 2022-03-131093Monsters1Bruins3ALSommaire du match
155 - 2022-03-151109Bruins2Monsters3BWXSommaire du match
156 - 2022-03-161117Monsters5Phantoms2AWSommaire du match
158 - 2022-03-181130Phantoms4Monsters3BLSommaire du match
160 - 2022-03-201147Monsters3Griffins5ALSommaire du match
163 - 2022-03-231167Monsters4Penguins3AWXSommaire du match
164 - 2022-03-241178Rocket2Monsters8BWSommaire du match
167 - 2022-03-271208Monsters4Reign1AWSommaire du match
168 - 2022-03-281214Monsters5Gulls4AWSommaire du match
170 - 2022-03-301226Monsters5Barracuda4AWXXSommaire du match
173 - 2022-04-021243Senators2Monsters4BWSommaire du match
175 - 2022-04-041262Condors3Monsters8BWSommaire du match
177 - 2022-04-061274Monsters3Crunch4ALSommaire du match
179 - 2022-04-081292Monsters4Bears7ALSommaire du match
180 - 2022-04-091305Crunch1Monsters2BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,49540,295
Assistance PCT98.16%98.28%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2946 - 98.20% 79,781$3,271,001$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,743,094$ 2,925,900$ 2,643,400$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,671$ 2,736,127$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 27,215$ 27,215$




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
1Matt Beleskey4572252524771393941266732168713.34%240890419.48485910716952718291246.58%31.07920
2Drayson Bowman67318628346930235122986719559.51%2581186317.6343671101852131628541.57%30.79418
3Dustin Jeffrey36217225542740106573909138512.42%196745720.60456210713923530201253.09%71.15929
4Pat Cannone476138227365119138746898124111.12%193788316.56265076811011422552.17%30.93819
5Teemu Hartikainen30311917729662145737545107111.11%144550918.1825376299000620950.57%01.07523

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
1Jake Allen337195100370.9132.95198411279771123359371120.729144
2Allen York19311043140.9172.6310766197472571624891630.75084
3Nathan Lieuwen21788110160.8943.3512381108692653601040.68172
4Dany Sabourin140804980.9012.82817947384386319261040.76939
5Ilya Samsonov83552530.9152.8949658223928020210.75929

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
5803728034442852463940201601210128116124017120223415713027962854937781606511598266307799748772648953107222402145726.64%2185475.23%7832158252.59%823158951.79%660126352.26%155773318409671729863
580183704948160244-84407230332281142-614011140162679102-23691602624220120386252179005405566512291864108218111683822.62%2105474.29%5618126049.05%706147847.77%547107350.98%145358318149991883956
680263903354246277-3140141902131129129040122001223117148-317524639564113059968323160741804734255979785121572095124.40%2356273.62%5788156050.51%822171248.01%651130549.89%1533725414421221704843
680164905532193316-123407210442294147-53409280111099169-705519330549803033807218170402702692235679092916771714325.15%2305078.26%5724142150.95%595126746.96%564119347.28%1399571366620051857921
7764128030312632184538221401001142119233819140203012199229526342668904066999223250747838721216165188618511855328.65%2376373.42%12774155449.81%840156553.67%584118249.41%149871814317761654825
776223900492230296-6638102100142112153-4138121800350118143-25682303555851204310078228506868187612440827114518431683219.05%2176072.35%5669150344.51%616144142.75%561123245.54%138264416158131622762
8763426023652752512438171301034144131133817130133113112011922754557304306410210124710772799889232581796420491805329.44%2376871.31%2816161450.56%833165850.24%588114051.58%152775214807711615805
8762829033103257258-138141403232132129338141500171125129-488257409666010541009025410738934837255580982320001994824.12%2135773.24%3807171047.19%797177444.93%513112845.48%151875915487741570770
980452001563336253834026600422178125534019140114115812830112336561897040911291093158010411099998240177849824592145525.70%1363872.06%01021202150.52%789160549.16%669126352.97%179899614607621593794
980254202434227297-704092501113102153-5140161701321125144-196822736158831051927922830681843733274790377716951935327.46%2386273.95%3712157445.24%842180546.65%549114547.95%145366416868331705838
1080441501312529919910040238011701479354402170025515210646122299475774230711111043200011101098967245678348424182254921.78%962475.00%41030195452.71%856164052.20%659118255.75%179699114687801626808
1080223809353227253-2640112303120117135-1840111506233110118-87822735358055052867521240530786766260079773116131654728.48%1964378.06%1816156052.31%868172750.26%528107249.25%142160216338461809902
11804621022452912078440256021241551035240211500121136104321112914817721507610710232620100611951046250480944226752115224.64%1844277.17%41021200950.82%907173252.37%610114753.18%176395514987821590777
1180253105955202224-2240141504232113114-14011160172389110-218420232352536037827320350537740723236578445920971925126.56%2176669.59%3725149848.40%840166450.48%51398751.98%149463615698401809920
1276332904064288257313816150302213812414381714010421501331790288480768000821039331870105810931013279390294322492045727.94%2316870.56%71025202550.62%950187450.69%584119648.83%164790815167371453707
127633250234923221913381611021261281244381714002231049599023237961101054809223820729808819246887064519221825731.32%2175674.19%3818159751.22%935177452.71%541102952.58%149071015407801605806
138036270137629026624402013010331601312940161400343130135-59729047476410084112863030010661014922289793588621822135123.94%2356273.62%2972197149.32%953185951.26%626125050.08%171291615957811570775
1380253904354216242-264016170213111611424092202223100128-287521636458022057678322070690725771269888346821131655633.94%1975373.10%3803164548.81%941186050.59%514105748.63%149166116268211732881
148039250173527223438402180052413611125401817012111361231398272455727130591169332350107311041041274492048622342265524.34%1424270.42%01052209750.17%863172050.17%613117951.99%176497515397541547779
14803628025362882543440191200414146119274017160212214213579328846775522072116953313011421180977292993593021782386226.05%1373673.72%41094207152.82%966193749.87%617123549.96%169293616367741529747
158041190466425821741401814023121191118402350235213910633112258419677110531177825950751944860269690455119941936634.20%2235973.54%4973178454.54%944181252.10%589107654.74%159777615938011673847
15803531033442822631940211400122138119194014170322214414409128245373541086114753324012101196900308499062520881975628.43%1243274.19%41094206552.98%972189651.27%643121952.75%161088217107821528716
1676244102207232279-4738151802102127136-93892300105105143-386123242365522084697724220800818785253276266316772335423.18%2717871.22%21290251751.25%1204245549.04%668127352.47%1724116518795721000492
1780303704243239273-34402014031201381261240102301123101147-468123942666513088776623040764762754262176665917122564919.14%2706077.78%11306258850.46%1246258748.16%638130748.81%1884128319325961033517
1876203905363190247-5738131604212103107-4387230115187140-536819032851814065585619770612691644243069344614932033517.24%1985373.23%11144223251.25%1157245947.05%577121547.49%1734117418835721000488
198267000123164384-220414330012197188-91412370000267196-1292016429946300071514019880657686637285780944915762173817.51%1966566.84%11092229847.52%1120236047.46%638133947.65%1774117820856231089519
2082294105403246289-4341161804300127146-1941132301103119143-247524644168721099717125770866828850264075566419762794817.20%2726077.94%11411283449.79%1405285249.26%654136447.95%1967135219256141060530
2182215204221251333-8241112304111134163-2941102900110117170-53572514557060208495663030096499810423848109051221912274821.15%2314580.52%21080293436.81%1392374437.18%518136437.98%168811732289591969449
2282205403410290417-12741102702110150204-5441102701300140213-73522905188084001138885331301018111411653897117153021302084421.15%2236570.85%21283309341.48%1404356839.35%596147040.54%164011252299605998456
2382224904223281386-10541132202202148189-414192702021133197-6461281514795201121006383135104410341024543890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
Total Saison régulière2378879104809110713411975108099-589118946849905750585738794001-122118941154903457766236314098-4672434751012549200594480112205127582372782891044247442717124629814322582721097604496168150824.45%6252163173.91%99289715952848.67%289766104547.47%177843635648.92%486872670156200250834456821968
Séries éliminatoires
5181170000067571085300000272611064000004031922671171840001529226720214210230770272188502491428.57%671380.60%121445047.56%22548146.78%17930758.31%35418022421147350167
7624000001722-532100000128430300000514-941728450006741490594545240745813711327.27%21385.71%14910745.79%7916348.47%419344.09%107461296112264
82414100000089818128400000463881266000004343028891452340002235319510335313296818284249694451431.11%831779.52%229360048.83%27856449.29%17236946.61%523293470228458223
962400000221843120000014104312000008804223658000895249087837020865491842428.33%10370.00%07616845.24%8315354.25%589461.70%145801156112262
10734000002119240400000711-4330000001486621375800068728009510283235808119914321.43%8187.50%010219053.68%7815450.65%5410750.47%156891326513366
1122148000008473111183000004837111165000003636028841372211101640259830325316307869317200658501836.00%451468.89%236565955.39%30858952.29%16934548.99%505285465216424209
12624000001723-6321000001010030300000713-641731480004842610101727922578331569333.33%15566.67%18915856.33%7515648.08%389639.58%132771255911354
12624000001722-5321000001010030300000712-54172744100682197071804326287521149222.22%22481.82%16712354.47%9518052.78%469250.00%105521446011454
13514000001323-1030300000714-72110000069-32132033000525192072605519656441389111.11%17570.59%16013145.80%5511348.67%509751.55%10959102479648
14624000001822-431200000813-531200000109141830481006832170697163228784115114321.43%19289.47%17216643.37%8215253.95%589660.42%126641315911760
14159600000454237520000022193844000002323018457211710071816541013221118661621966386401230.00%18666.67%016635347.03%19339149.36%9620746.38%298153330145294148
151046000003235-3514000001622-653200000161338325082000615113210841081234611375023716637.50%25580.00%112122055.00%15629852.35%8516053.13%1969922696198101
15514000001619-321100000111013030000059-42162541000475180061576222997361077114.29%8275.00%05311247.32%6713051.54%447657.89%9650113459046
Total Séries éliminatoires1366769000004584562673631000002382281069313800000220228-813445875512134101111941405193017051728164253571844114736632978227.61%3588077.65%111727343750.25%1774352450.34%1090213950.96%285615344732229426371308

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
1Matt Beleskey70353267136918911424214.46%31135919.4228101220244242.23%20.9900
2Dustin Jeffrey6222456715121161842329.48%38127920.63211132011272051.75%01.0500
3Teemu Hartikainen652440643191319621011.43%21118118.18611171700005149.55%01.0800
4Drayson Bowman512329528291057921910.50%33104420.48512172202204146.84%11.0000
5Pat Cannone54112435524781111467.53%2493317.29123501110151.00%00.7500

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
1Allen York2917930.9173.01181621911103539110.0000
2Dany Sabourin30161310.9013.461787001031039522200.0000
3Dan Lacosta1811420.9282.971050150527260100.0000
4Jake Allen2891360.9093.631670201011104566110.0000
5Drew MacIntyre52030.9202.61322001417588000.0000