Monsters
GP: 82 | W: 47 | L: 28 | OTL: 7 | P: 101
GF: 342 | GA: 309 | PP%: 27.52% | PK%: 74.52%
DG: Eric Leclerc | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Monsters
47-28-7, 101pts
1
FINAL
6 Phantoms
54-20-8, 116pts
Team Stats
W1StreakW2
27-10-4Home Record26-10-5
20-18-3Away Record28-10-3
6-4-0Last 10 Games8-0-2
4.17Buts par match 5.20
3.77Buts contre par match 3.87
27.52%Pourcentage en avantage numérique28.84%
74.52%Pourcentage en désavantage numérique79.05%
Penguins
46-26-10, 102pts
2
FINAL
3 Monsters
47-28-7, 101pts
Team Stats
L1StreakW1
26-12-3Home Record27-10-4
20-14-7Away Record20-18-3
8-1-1Last 10 Games6-4-0
4.00Buts par match 4.17
3.37Buts contre par match 3.77
26.53%Pourcentage en avantage numérique27.52%
72.24%Pourcentage en désavantage numérique74.52%
Meneurs d'équipe
Rasmus AsplundButs
Rasmus Asplund
19
Jake BeanPasses
Jake Bean
37
Jake BeanPoints
Jake Bean
51
Rasmus AsplundPlus/Moins
Rasmus Asplund
9
Charlie LindgrenVictoires
Charlie Lindgren
27
Charlie LindgrenPourcentage d’arrêts
Charlie Lindgren
0.9

Statistiques d’équipe
Buts pour
342
4.17 GFG
Tirs pour
3019
36.82 Avg
Pourcentage en avantage numérique
27.5%
71 GF
Début de zone offensive
41.7%
Buts contre
309
3.77 GAA
Tirs contre
2838
34.61 Avg
Pourcentage en désavantage numérique
74.5%
53 GA
Début de la zone défensive
38.6%
Information d’équipe

Directeur généralEric Leclerc
EntraîneurBenoit Groulx
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,958
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 80
Espoirs24


Historique d'équipe

Saison actuelle47-28-7 (101PTS)
Historique1375-1468-272 (0.441%)
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
1Logan Brown0X100.00847580649678796775686465636668075670242995,000$
2Philip Tomasino (R)0X100.00583486736879847166706359726163075650212925,000$
3Liam Foudy (R)0X100.00603887697886706777645967716364075640222925,000$
4Brendan Lemieux0XX100.008682596580768564566362566167680756402621,688,000$
5Sean Malone0X100.00633470667478716575646359656769075630271750,000$
6Turner Elson0X100.00713892587385865968585960597072075620302925,000$
7Maxim Letunov (R)0X100.00733990588278925761546062596668075620263850,000$
8Mitchell Stephens (R)0X100.00623488637177726083645668576465075620251750,000$
9Ryan Dmowski (R)0X100.00663889597992615755546157596567075610251700,000$
10Nathan Todd0X100.00613885597092815868595857596769075610271700,000$
11Pierre-Olivier Joseph0X100.00693884717786877030716062516365075660231925,000$
12Juuso Valimaki (R)0X100.00683682678385766630705973526466075650242925,000$
13Gustav Lindstrom (R)0X100.00643586657787816330735573496364075640241925,000$
14Jordan Spence (R)0X100.00643783666789816530676264526162075640213950,000$
15Steven Santini0X100.00863894628281875630665261506769075630271890,000$
16William Lagesson (R)0X100.00714284628278765730655866496668075630262750,000$
Rayé
1Alex Steeves (R)0X100.00593882656988836765666264656467075640233950,000$
2Nathan Legare (R)0X100.00663983557583855358555657556163075590213950,000$
3Aaron Luchuk (R)0X100.00593792576877605460555653586567075580253950,000$
4Justin Barron (R)0X83.52673891687983756730666461536163075650213950,000$
5Brayden Pachal (R)0X100.006738785679748358305756615263650756002311,000,000$
6Devante Stephens (R)0X100.00694271588064855630565559476567075600251700,000$
7Michael Kim0X100.00633793557264625430585053456769075580271700,000$
MOYENNE D’ÉQUIPE99.2868418463778178615163596257656607563
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
1Kevin Poulin100.0076747582747375747375747286075660321700,000$
Rayé
1Charlie Lindgren98.1377737476757476757476757083075660292875,000$
2Pat Nagle100.0072727174706971706971707589075640351700,000$
3Ilya Konovalov (R)100.0065707173646365646365646671075590243950,000$
MOYENNE D’ÉQUIPE99.537372737671707271707271718207564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx64687372837868CAN5412,000,000$


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
1Logan BrownMonsters (CBJ)C773548831591152732842997622611.71%29180223.41614203918400061737256.34%253300020.9214201953
2Philip TomasinoMonsters (CBJ)RW7339438218402815829110521513.40%16166922.87611174018000021604251.66%15100000.9814000444
3Alex SteevesMonsters (CBJ)C733239710215952342879119111.15%20138719.003912281070003733052.84%160100021.0202010431
4Pierre-Olivier JosephMonsters (CBJ)D751156676395188110143591087.69%121178123.7641317721921013146010.00%000000.7500001224
5Sean MaloneMonsters (CBJ)C79283159-21801401272417718411.62%12129816.4330319550111122353.85%58500000.9101000532
6Liam FoudyMonsters (CBJ)C55263056380471832246415811.61%1596717.5845924790000355058.31%120400001.1601000354
7Jordan SpenceMonsters (CBJ)D79104656-6260929011540808.70%90136317.2766123284000062030.00%000000.8200000023
8Jake BeanBlue JacketsD41143751-21603769109427012.84%79106425.95981759125000185400.00%000010.9600000323
9Ryan DmowskiMonsters (CBJ)LW791927469140111581453511813.10%13143318.155712211160002552144.85%16500000.6400000113
10Juuso ValimakiMonsters (CBJ)D381134457160915874274514.86%4784722.3046104180000072210.00%000001.0600000214
11Justin BarronMonsters (CBJ)D601130412140518113250818.33%92125620.9471219761520112114110.00%000000.6500000111
12Rasmus AsplundBlue JacketsC/LW/RW281920399806571684613111.31%1167424.0825726780003602168.83%7700011.1614000412
13Turner ElsonMonsters (CBJ)LW3816183461608636111246414.41%575920.0028101277000073038.46%3900000.8900000131
14Mitchell StephensMonsters (CBJ)C70151833-111204059122317612.30%146339.05134180001192054.70%11700001.0400000010
15Gustav LindstromMonsters (CBJ)D38624303200486740122615.00%4169118.203361545000050110.00%000000.8700000202
16Cal FooteBlue JacketsD3242226822075336021366.67%4663319.791672673000052000.00%000000.8200000011
17Steven SantiniMonsters (CBJ)D79220228300125383010196.67%567339.2900002000035000.00%000000.6000000010
18Brendan LemieuxMonsters (CBJ)LW/RW306131912461088226216449.68%257719.260229530000293042.19%6400000.6600110020
19William LagessonMonsters (CBJ)D6451318-5160645335172514.29%5167010.4801134000030000.00%000000.5400000011
20Maxim LetunovMonsters (CBJ)C5451116616068458731515.75%2079314.700112120000151052.24%6700000.4011000122
21Nathan LegareMonsters (CBJ)RW3278150120661558173112.07%563319.812241382000001143.24%3700000.4700000210
22Nathan ToddMonsters (CBJ)C9000000000000.00%020.280000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne12033215889098646535181918772833891197911.33%7852167718.02681221905581797123241295431755.00%664000060.84417322444241
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
1Charlie LindgrenMonsters (CBJ)46271310.9003.3424822113813790210.85714460111
2Kevin PoulinMonsters (CBJ)33121140.8863.961635201089510400.00002559011
Statistiques d’équipe totales ou en moyenne79392450.8943.5941174124623300610.857147159122


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
Aaron LuchukMonsters (CBJ)C254/4/1997Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Alex SteevesMonsters (CBJ)C2312/10/1999Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Brayden Pachal (contrat à 1 volet)Monsters (CBJ)D238/23/1999Yes204 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$0$NoLien / Lien NHL
Brendan Lemieux (contrat à 1 volet)Monsters (CBJ)LW/RW263/15/1996No215 Lbs6 ft1NoNoNo2Pro & Farm1,688,000$1,688,000$1,688,000$0$No1,688,000$Lien / Lien NHL
Charlie LindgrenMonsters (CBJ)G2912/18/1993No179 Lbs6 ft2NoNoNo2Pro & Farm875,000$875,000$0$0$No875,000$Lien / Lien NHL
Devante StephensMonsters (CBJ)D251/2/1997Yes185 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Gustav LindstromMonsters (CBJ)D2410/20/1998Yes183 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Ilya KonovalovMonsters (CBJ)G247/13/1998Yes194 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jordan SpenceMonsters (CBJ)D212/24/2001Yes180 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Justin Barron (sur la masse salariale)Monsters (CBJ)D2111/15/2001Yes195 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$Yes950,000$950,000$Lien
Juuso ValimakiMonsters (CBJ)D2410/6/1998Yes212 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Kevin PoulinMonsters (CBJ)G324/12/1990No206 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Liam FoudyMonsters (CBJ)C222/4/2000Yes187 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Logan BrownMonsters (CBJ)C243/5/1998No218 Lbs6 ft6NoNoNo2Pro & Farm995,000$995,000$0$0$No995,000$Lien / Lien NHL
Maxim LetunovMonsters (CBJ)C262/20/1996Yes180 Lbs6 ft4NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$Lien / Lien NHL
Michael KimMonsters (CBJ)D276/28/1995No200 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Mitchell StephensMonsters (CBJ)C252/5/1997Yes190 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nathan LegareMonsters (CBJ)RW211/11/2001Yes205 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Nathan ToddMonsters (CBJ)C2712/2/1995No176 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Pat NagleMonsters (CBJ)G359/21/1987No169 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Philip TomasinoMonsters (CBJ)RW217/28/2001Yes179 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Pierre-Olivier JosephMonsters (CBJ)D237/1/1999No185 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Ryan DmowskiMonsters (CBJ)LW253/11/1997Yes209 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Sean MaloneMonsters (CBJ)C274/30/1995No197 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Steven SantiniMonsters (CBJ)D273/7/1995No205 Lbs6 ft2NoNoNo1Pro & Farm890,000$890,000$0$0$NoLien / Lien NHL
Turner ElsonMonsters (CBJ)LW309/13/1992No191 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
William LagessonMonsters (CBJ)D262/22/1996Yes207 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.30193 Lbs6 ft11.81888,815$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxLogan BrownPhilip Tomasino40122
2Turner ElsonLiam FoudyMitchell Stephens30122
3Ryan DmowskiSean MaloneMaxim Letunov20122
4Logan BrownMitchell StephensPhilip Tomasino10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJuuso Valimaki40122
2Jordan SpenceGustav Lindstrom30122
3William LagessonSteven Santini20122
4Pierre-Olivier JosephJuuso Valimaki10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxLogan BrownPhilip Tomasino60122
2Turner ElsonLiam FoudyMitchell Stephens40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJuuso Valimaki60122
2Jordan SpenceGustav Lindstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownPhilip Tomasino60122
2Brendan LemieuxLiam Foudy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJuuso Valimaki60122
2Jordan SpenceGustav Lindstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Logan Brown60122Pierre-Olivier JosephJuuso Valimaki60122
2Philip Tomasino40122Jordan SpenceGustav Lindstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownPhilip Tomasino60122
2Brendan LemieuxLiam Foudy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJuuso Valimaki60122
2Jordan SpenceGustav Lindstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxLogan BrownPhilip TomasinoPierre-Olivier JosephJuuso Valimaki
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxLogan BrownPhilip TomasinoPierre-Olivier JosephJuuso Valimaki
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Todd, Sean Malone, Maxim LetunovNathan Todd, Sean MaloneMaxim Letunov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Steven Santini, Jordan SpenceWilliam LagessonSteven Santini, Jordan Spence
Tirs de pénalité
Logan Brown, Philip Tomasino, Brendan Lemieux, Liam Foudy, Sean Malone
Gardien
#1 : Kevin Poulin, #2 :
Lignes d’attaque personnalisées en prolongation
Logan Brown, Philip Tomasino, Brendan Lemieux, Liam Foudy, Sean Malone, Mitchell Stephens, Mitchell Stephens, Maxim Letunov, Turner Elson, Nathan Todd, Ryan Dmowski
Lignes de défense personnalisées en prolongation
Pierre-Olivier Joseph, Juuso Valimaki, Jordan Spence, Gustav Lindstrom, William Lagesson


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
1Admirals210000101468110000008171000001065141.000142337001301079791129731005100454682212617114.29%6266.67%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
2Americans30300000412-82020000017-61010000035-200.00048121013010797990973100510045481271260700.00%6266.67%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
3Barracuda211000008531010000012-11100000073420.50081422001301079797097310051004545815645400.00%2150.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
4Bears413000001117-62110000057-220200000610-420.25011203100130107979909731005100454172384510711436.36%20765.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
5Bruins3210000089-1110000003212110000057-240.66781624001301079799997310051004541123922739111.11%11281.82%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
6Checkers31000110151142100010010731000001054150.83315274201130107979125973100510045410230317911327.27%60100.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
7Comets211000001055110000008261010000023-120.5001019290013010797984973100510045472229574125.00%2150.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
8Condors220000001376110000006241100000075241.0001324370013010797971973100510045457196575480.00%3166.67%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
9Crunch300002101213-11000010045-12000011088040.6671217290013010797913597310051004541214021711417.14%7357.14%11687304355.44%1492281852.95%727143150.80%2147155117995581015525
10Devils3200100025131211000000936210010001610661.00025477200130107979165973100510045412037147510440.00%7185.71%11687304355.44%1492281852.95%727143150.80%2147155117995581015525
11Eagles2110000038-5110000003211010000006-620.500369001301079797697310051004546411831500.00%3233.33%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
12Firebirds2110000079-2110000005231010000027-520.500711180013010797948973100510045470128563266.67%3166.67%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
13Griffins3110010016160211000009811000010078-130.500162945001301079791309731005100454118438569555.56%4250.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
14Gulls201010008801010000034-11000100054120.5008142200130107979799731005100454702110289222.22%50100.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
15IceHogs220000001082110000005411100000054141.0001018280013010797981973100510045456142357342.86%10100.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
16Marlies3200010012841000010034-12200000094550.8331222340013010797910997310051004541143646611327.27%2150.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
17Moose21100000853110000006151010000024-220.5008142200130107979639731005100454662033447457.14%40100.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
18Penguins43100000151142110000056-122000000105560.75015294400130107979109973100510045415058328812758.33%15286.67%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
19Phantoms412010001723-6201010001215-32110000058-340.50017314800130107979121973100510045416552228912216.67%10550.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
20Reign211000001082110000008531010000023-120.5001017270013010797975973100510045439910448337.50%5180.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
21Roadrunners220000001183110000004311100000075241.00011223300130107979809731005100454782518616116.67%9366.67%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
22Rocket3210000012842200000010551010000023-140.667122133001301079791239731005100454732766614642.86%3166.67%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
23Senators31200000913-41100000042220200000511-620.33391625001301079798997310051004541062621798112.50%8362.50%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
24Silver Knights220000001064110000005411100000052341.00010182800130107979599731005100454512114508112.50%6183.33%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
25Sound Tigers4300100022101221001000117422000000113881.0002241630013010797919997310051004541303622999333.33%10280.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
26Stars2020000048-41010000013-21010000035-200.00047110013010797950973100510045462121452600.00%7185.71%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
27Thunderbirds220000001385110000006331100000075241.00013243700130107979118973100510045476292565120.00%10100.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
28Wild2110000079-2110000006331010000016-520.5007132000130107979499731005100454691817443133.33%6183.33%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
29Wolf Pack401011011315-2200011007702010000168-240.50013253800130107979138973100510045413140381051417.14%18477.78%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
30Wolves31200000615-92110000026-41010000049-520.333611170013010797910197310051004541353630667228.57%14285.71%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
31Wranglers21100000972110000006331010000034-120.5009182700130107979819731005100454521684613430.77%4175.00%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
Total8239280563134230933412410034001761354141151802231166174-81010.6163426229641113010797930199731005100454283885150519462587127.52%2085374.52%21687304355.44%1492281852.95%727143150.80%2147155117995581015525
_Since Last GM Reset8239280563134230933412410034001761354141151802231166174-81010.6163426229641113010797930199731005100454283885150519462587127.52%2085374.52%21687304355.44%1492281852.95%727143150.80%2147155117995581015525
_Vs Conference321712011101391241517125000007551241557011106473-9390.609139250389001301079791215973100510045410413061807151033130.10%711578.87%01687304355.44%1492281852.95%727143150.80%2147155117995581015525
_Vs Division1695001106661587200000401921823001102642-16210.6566611618200130107979597973100510045453113896379431227.91%31777.42%01687304355.44%1492281852.95%727143150.80%2147155117995581015525

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82101W134262296430192838851505194611
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239285631342309
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4124103400176135
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115182231166174
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2587127.52%2085374.52%2
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
9731005100454130107979
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
1687304355.44%1492281852.95%727143150.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2147155117995581015525


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
2 - 2022-10-125Monsters4Wolves9ALSommaire du match
4 - 2022-10-1421Crunch5Monsters4BLXSommaire du match
5 - 2022-10-1533Monsters7Thunderbirds5AWSommaire du match
8 - 2022-10-1850Comets2Monsters8BWSommaire du match
10 - 2022-10-2063Admirals1Monsters8BWSommaire du match
12 - 2022-10-2282Penguins4Monsters2BLSommaire du match
13 - 2022-10-2389Monsters2Wolf Pack3ALXXSommaire du match
15 - 2022-10-2598Roadrunners3Monsters4BWSommaire du match
18 - 2022-10-28122Bruins2Monsters3BWSommaire du match
20 - 2022-10-30139Monsters9Devils4AWSommaire du match
25 - 2022-11-04174Monsters0Eagles6ALSommaire du match
26 - 2022-11-05176Eagles2Monsters3BWSommaire du match
31 - 2022-11-10214Phantoms8Monsters9BWXSommaire du match
33 - 2022-11-12231Monsters4Sound Tigers2AWSommaire du match
36 - 2022-11-15250Phantoms7Monsters3BLSommaire du match
38 - 2022-11-17263Rocket2Monsters4BWSommaire du match
40 - 2022-11-19280Griffins2Monsters4BWSommaire du match
41 - 2022-11-20289Checkers7Monsters6BLXSommaire du match
44 - 2022-11-23307Rocket3Monsters6BWSommaire du match
46 - 2022-11-25326Sound Tigers4Monsters5BWXSommaire du match
47 - 2022-11-26338Monsters6Admirals5AWXXSommaire du match
49 - 2022-11-28349Silver Knights4Monsters5BWSommaire du match
53 - 2022-12-02378Monsters2Moose4ALSommaire du match
55 - 2022-12-04394Griffins6Monsters5BLSommaire du match
57 - 2022-12-06404Monsters5Penguins2AWSommaire du match
58 - 2022-12-07412Americans3Monsters0BLSommaire du match
60 - 2022-12-09424Wranglers3Monsters6BWSommaire du match
62 - 2022-12-11443Reign5Monsters8BWSommaire du match
64 - 2022-12-13455Monsters5Checkers4AWXXSommaire du match
66 - 2022-12-15470Monsters4Crunch3AWXXSommaire du match
68 - 2022-12-17484Monsters3Bruins2AWSommaire du match
70 - 2022-12-19502Stars3Monsters1BLSommaire du match
71 - 2022-12-20510Monsters4Phantoms2AWSommaire du match
74 - 2022-12-23540Monsters5IceHogs4AWSommaire du match
78 - 2022-12-27547Americans4Monsters1BLSommaire du match
80 - 2022-12-29567Monsters7Sound Tigers1AWSommaire du match
82 - 2022-12-31584IceHogs4Monsters5BWSommaire du match
85 - 2023-01-03601Monsters4Senators5ALSommaire du match
87 - 2023-01-05617Bears3Monsters4BWSommaire du match
89 - 2023-01-07629Wolves1Monsters2BWSommaire du match
90 - 2023-01-08639Monsters2Bears5ALSommaire du match
92 - 2023-01-10648Monsters4Crunch5ALXSommaire du match
94 - 2023-01-12662Wolves5Monsters0BLSommaire du match
96 - 2023-01-14679Monsters7Griffins8ALXSommaire du match
98 - 2023-01-16701Wolf Pack4Monsters3BLXSommaire du match
101 - 2023-01-19717Gulls4Monsters3BLSommaire du match
103 - 2023-01-21736Barracuda2Monsters1BLSommaire du match
105 - 2023-01-23754Monsters3Wranglers4ALSommaire du match
107 - 2023-01-25768Monsters7Condors5AWSommaire du match
109 - 2023-01-27787Monsters2Comets3ALSommaire du match
110 - 2023-01-28797Monsters2Firebirds7ALSommaire du match
113 - 2023-01-31804Bears4Monsters1BLSommaire du match
123 - 2023-02-10829Marlies4Monsters3BLXSommaire du match
124 - 2023-02-11840Monsters4Marlies2AWSommaire du match
127 - 2023-02-14857Devils3Monsters9BWSommaire du match
129 - 2023-02-16872Moose1Monsters6BWSommaire du match
131 - 2023-02-18887Monsters3Stars5ALSommaire du match
132 - 2023-02-19901Monsters7Roadrunners5AWSommaire du match
136 - 2023-02-23924Wild3Monsters6BWSommaire du match
138 - 2023-02-25936Condors2Monsters6BWSommaire du match
139 - 2023-02-26948Monsters1Wild6ALSommaire du match
141 - 2023-02-28958Monsters3Americans5ALSommaire du match
144 - 2023-03-03984Firebirds2Monsters5BWSommaire du match
145 - 2023-03-04996Monsters1Senators6ALSommaire du match
148 - 2023-03-071013Monsters5Penguins3AWSommaire du match
152 - 2023-03-111045Thunderbirds3Monsters6BWSommaire du match
155 - 2023-03-141074Monsters7Barracuda3AWSommaire du match
157 - 2023-03-161089Monsters2Reign3ALSommaire du match
158 - 2023-03-171094Monsters5Gulls4AWXSommaire du match
160 - 2023-03-191110Monsters5Silver Knights2AWSommaire du match
162 - 2023-03-211121Monsters4Bears5ALSommaire du match
165 - 2023-03-241147Sound Tigers3Monsters6BWSommaire du match
166 - 2023-03-251159Monsters2Rocket3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
169 - 2023-03-281176Monsters4Wolf Pack5ALSommaire du match
171 - 2023-03-301189Monsters2Bruins5ALSommaire du match
173 - 2023-04-011208Checkers0Monsters4BWSommaire du match
174 - 2023-04-021220Senators2Monsters4BWSommaire du match
176 - 2023-04-041230Monsters5Marlies2AWSommaire du match
178 - 2023-04-061243Monsters7Devils6AWXSommaire du match
180 - 2023-04-081264Wolf Pack3Monsters4BWXSommaire du match
183 - 2023-04-111287Monsters1Phantoms6ALSommaire du match
185 - 2023-04-131303Penguins2Monsters3BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,92240,376
Assistance PCT98.69%98.48%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2958 - 98.62% 80,143$3,285,862$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,020,028$ 2,036,000$ 2,036,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,005$ 2,005,736$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 21,816$ 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
1Cal Foote683610573505456223578041192727080913211.57%749811258816.473256549791727000024300.00%810.8100
2Juuso Valimaki425098333554338817244673006781687814.29%67709777623.0173365413873524000812820.00%00.8900
3Turner Elson7083227814133691-971287811113114842012911.32%18597679210.8412263810310118254.99%10.963328
4Liam Foudy20801646197436201218980263986071034915.90%8254767222.9281441012242373016216216224816258.54%01.5281163
5Dylan Gambrell38881620162032408104861782110161458011.11%9726659117.1332440572921870000818158.31%00.97081

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 Samsonov6723445520252430.9152.89402204648162193592269620162810.7592349
2Sean Bonar462781532413240.8955.592360473240219752084590821620.750648
3Jake Allen337195100370.9132.95198411279771123359371120.729144
4Allen York19311043140.9172.6310766197472571624891630.75084
5Nathan Lieuwen21788110160.8943.3512381108692653601040.68172

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
2382224904223281386-10541132202202148189-414192702021133197-646128151479520011210063313501044103410243890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
2382224904223281386-10541132202202148189-414192702021133197-646128151479520011210063313501044103410243890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
2382224904223281386-10541132202202148189-414192702021133197-6461281514795201121006383135104410341024543890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
2382224904223281386-10541132202202148189-414192702021133197-646128151479520011210063313501044103410243890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
2382224904223281386-10541132202202148189-414192702021133197-646128151479520011210063313501044103410243890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
2382224904223281386-10541132202202148189-414192702021133197-646128151479520011210063313501044103410243890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
2382224904223281386-10541132202202148189-414192702021133197-646128151479520011210063313501044103410243890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
2382224904223281386-10541132202202148189-414192702021133197-646128151479520011210063313501044103410243890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
20228239280563134230933412410034001761354141151802231166174-81013426229641113010797930199731005100454283885150519462587127.52%2085374.52%21687304355.44%1492281852.95%727143150.80%2147155117995581015525
Total Saison régulière31161094146801281291531441010011496-1396155859668507670587352395648-409155849878305259957148615848-9873023101001728327383618135430423618283010638830613409136437319051153903531825578795878290197923.87%8228211674.28%125401068622746.51%415889291144.76%230874955546.59%641633741576306304065360726197
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