Monsters
GP: 78 | W: 40 | L: 34 | OTL: 4 | P: 84
GF: 280 | GA: 287 | PP%: 22.01% | PK%: 78.93%
DG: Eric Leclerc | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #1270 vs Bears
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Centre de jeu
Senators
41-29-8, 90pts
1
FINAL
3 Monsters
40-34-4, 84pts
Team Stats
L1StreakL1
23-10-4Home Record21-17-1
18-19-4Away Record19-17-3
6-4-0Last 10 Games5-5-0
3.50Buts par match 3.59
3.26Buts contre par match 3.68
23.57%Pourcentage en avantage numérique22.01%
76.89%Pourcentage en désavantage numérique78.93%
Americans
44-29-5, 93pts
5
FINAL
3 Monsters
40-34-4, 84pts
Team Stats
W2StreakL1
25-12-2Home Record21-17-1
19-17-3Away Record19-17-3
6-4-0Last 10 Games5-5-0
3.55Buts par match 3.59
3.27Buts contre par match 3.68
23.22%Pourcentage en avantage numérique22.01%
76.70%Pourcentage en désavantage numérique78.93%
Bears
43-27-8, 94pts
2025-04-12
Monsters
40-34-4, 84pts
Statistiques d’équipe
W2SéquenceL1
24-13-3Fiche domicile21-17-1
19-14-5Fiche visiteur19-17-3
5-3-210 derniers matchs5-5-0
3.54Buts par match 3.59
3.40Buts contre par match 3.68
24.51%Pourcentage en avantage numérique22.01%
77.14%Pourcentage en désavantage numérique78.93%
Monsters
40-34-4, 84pts
2025-04-13
Bears
43-27-8, 94pts
Statistiques d’équipe
L1SéquenceW2
21-17-1Fiche domicile24-13-3
19-17-3Fiche visiteur19-14-5
5-5-010 derniers matchs5-3-2
3.59Buts par match 3.54
3.68Buts contre par match 3.40
22.01%Pourcentage en avantage numérique24.51%
78.93%Pourcentage en désavantage numérique77.14%
Monsters
40-34-4, 84pts
2025-04-15
Phantoms
42-28-8, 92pts
Statistiques d’équipe
L1SéquenceW2
21-17-1Fiche domicile24-10-5
19-17-3Fiche visiteur18-18-3
5-5-010 derniers matchs5-4-1
3.59Buts par match 3.69
3.68Buts contre par match 3.26
22.01%Pourcentage en avantage numérique22.91%
78.93%Pourcentage en désavantage numérique79.07%
Meneurs d'équipe
William LagessonButs
William Lagesson
9
William LagessonPasses
William Lagesson
16
William LagessonPoints
William Lagesson
25
William LagessonPlus/Moins
William Lagesson
-9
Remi PoirierVictoires
Remi Poirier
40
Pourcentage d’arrêts
Brandon Halverson
0.942

Statistiques d’équipe
Buts pour
280
3.59 GFG
Tirs pour
2775
35.58 Avg
Pourcentage en avantage numérique
22.0%
57 GF
Début de zone offensive
42.1%
Buts contre
287
3.68 GAA
Tirs contre
2595
33.27 Avg
Pourcentage en désavantage numérique
78.9%
55 GA
Début de la zone défensive
39.0%
Information d’équipe

Directeur généralEric Leclerc
EntraîneurJeremy Colliton
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,961
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 80
Espoirs33


Historique d'équipe

Saison actuelle40-34-4 (84PTS)
Historique1235-1144-232 (0.473%)
Apparitions séries éliminatoires 15
Historique séries éliminatoires (W-L)72-77
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
SP
Âge
Contrat
Salaire moyen
1Alex Limoges (R)0XX100.00693893667885836468666562676970075650273900,000$
2Liam Foudy (R)0XX100.007038936979867965666163646866670756502421,000,000$
3Brendan Brisson (R)0XXX100.00643974677385836469666360656264075640222950,000$
4Alex Steeves (R)0XXX100.00703787657489856369626160656667075640241950,000$
5Mason Morelli99XX100.00714074647783866361606762666870075640283900,000$
6Matthew Highmore0XXX100.00663688657080826473676166636870075640283900,000$
7Graeme Clarke (R)0X100.00683689636990866258606163626465075630232950,000$
8Brendan Lemieux0XX100.00837058668076746357605862567069075630282775,000$
9Xavier Simoneau (R)0X100.00653961646273816370675660626467075610232950,000$
10Justin Barron (R)0X100.00723889698186876730706864556364075670221950,000$
11Brayden Pachal (R)0X100.00754466648182816230635968536567075640252995,000$
12Kaedan Korczak (R)0X100.00744273648485816230685961506365075640231890,000$
13Jacob Larsson0X100.007040746479768358306055594967690756202711,200,000$
14Aidan Fulp0X100.00814291559063695430575163466466075600243870,000$
Rayé
1Brendan Gaunce0XX91.97784278668786776385646567637072075660302995,000$
2Nathan Gaucher (R)0X100.00765073598575735863565759566163075610203950,000$
3Xavier Parent (R)0XX100.00623776606278755967605754596365075600232950,000$
4Nathan Legare (R)0X100.00664269587580835753545659556365075590231950,000$
5Patrick Guay (R)0X100.00573876556667655459535251546264075560222950,000$
6Gustav Lindstrom0X100.00723883657983766230686061506668075640252998,900$
7Ville Ottavainen (R)0X91.25824087569172735530585461466264075610223950,000$
MOYENNE D’ÉQUIPE99.1471417963778079615462596158656707563
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
SP
Âge
Contrat
Salaire moyen
1Remi Poirier (R)100.0075807682747375747375746369075650222950,000$
2Brandon Halverson100.0072736788717072717072716881075640283900,000$
Rayé
MOYENNE D’ÉQUIPE100.007477728573727473727473667507565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton70717273605687CAN391900,000$


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’équipe
POS
GP
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
1Alex LimogesMonsters (CBJ)C/LW783448821255661302818521012.10%17179523.02713205221700052203447.89%35500100.9102001645
2Justin BarronMonsters (CBJ)D7519638226401771221725113411.05%121187725.03111324902180001189310.00%000000.8700000651
3Brendan GaunceMonsters (CBJ)C/LW70264672648102102762566921410.16%21168224.03714213719100021985157.97%237000000.8612020426
4Liam FoudyMonsters (CBJ)C/RW723238707220771573117820410.29%27171323.80610165520300091873247.31%18600020.8212000473
5Matthew HighmoreMonsters (CBJ)C/LW/RW77273259440471362277120711.89%15133617.36459271360000203150.34%59200000.8801000132
6Graeme ClarkeMonsters (CBJ)RW78242448-20020961805312713.33%16105513.5400014000007140.66%9100000.9100000141
7Mason MorelliMonsters (CBJ)C/LW76262147-123951881612185815911.93%17143618.903912381890002987046.87%167700100.6501010612
8Alex SteevesMonsters (CBJ)C/LW/RW78182846-918010881219681818.22%19151319.414610422110000432057.34%14300000.6100000133
9Brendan LemieuxMonsters (CBJ)LW/RW78132841-2861022194168461267.74%10108613.93000060000322049.07%10800000.7500011132
10Gustav LindstromMonsters (CBJ)D7683240-10360819375226610.67%74146319.253710381570000142010.00%000000.5500000012
11Brendan BrissonMonsters (CBJ)C/LW/RW77122638-146049146195671586.15%16126516.43033161250001662051.07%84000000.6001000203
12Brayden PachalMonsters (CBJ)D75112031-17151565699304911.11%66119815.9751630760000102010.00%000000.5200010210
13William LagessonBlue JacketsD4991625-948101106388294710.23%6599420.30538461120000109020.00%000000.5000011113
14Kaedan KorczakMonsters (CBJ)D6022224-6420117584921374.08%60107317.900551579000088000.00%000000.4500000010
15Nathan GaucherMonsters (CBJ)C77369-919534523811267.89%54255.5300000000070053.71%55300000.4200010000
16Aidan FulpMonsters (CBJ)D51167-1380421415656.67%334398.6100009000040000.00%000000.3200000101
17Xavier SimoneauMonsters (CBJ)C78246-4401424268297.69%02222.8500008000080051.76%25500000.5400000001
18Jacob LarssonMonsters (CBJ)D5332561802814186716.67%254348.20000414000017000.00%000000.2300000000
19Ville OttavainenMonsters (CBJ)D561340160451596811.11%313927.0100001000140000.00%000000.2000000101
20Nathan LegareMonsters (CBJ)RW26101-3002353220.00%0612.3800000000000040.00%500000.3200000000
21Patrick GuayMonsters (CBJ)C13000-100001020.00%080.6700001000000060.00%500000.0000000000
22Xavier ParentMonsters (CBJ)C/LW17000000010000.00%010.080000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1390272465737-6957450179217922650788199810.26%6382147915.4555891444911968000211616371452.24%718000220.6929073373636
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Remi PoirierMonsters (CBJ)78403340.8863.7444090127524210410.7789780214
2Brandon HalversonMonsters (CBJ)120100.9422.0329620101730000.0000078000
Statistiques d’équipe totales ou en moyenne90403440.8903.6347052128525940410.77897878214


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Aidan FulpMonsters (CBJ)D242000-02-29No216 Lbs6 ft4NoNoNo3Pro & Farm870,000$31,071$870,000$31,071$0$0$No870,000$870,000$Lien
Alex LimogesMonsters (CBJ)C/LW271997-09-16Yes201 Lbs6 ft1NoNoNo3Pro & Farm900,000$32,143$900,000$32,143$0$0$No900,000$900,000$Lien / Lien NHL
Alex SteevesMonsters (CBJ)C/LW/RW241999-12-10Yes196 Lbs6 ft0NoNoNo1Pro & Farm950,000$33,929$950,000$33,929$0$0$NoLien / Lien NHL
Brandon HalversonMonsters (CBJ)G281996-03-29No210 Lbs6 ft4NoNoNo3Pro & Farm900,000$32,143$900,000$32,143$0$0$No900,000$900,000$Lien
Brayden PachalMonsters (CBJ)D251999-08-23Yes202 Lbs6 ft2NoNoNo2Pro & Farm995,000$35,536$995,000$35,536$0$0$No995,000$Lien / Lien NHL
Brendan BrissonMonsters (CBJ)C/LW/RW222001-10-22Yes191 Lbs6 ft0NoNoNo2Pro & Farm950,000$33,929$950,000$33,929$0$0$No950,000$Lien / Lien NHL
Brendan Gaunce (sur la masse salariale)Monsters (CBJ)C/LW301994-03-25No219 Lbs6 ft3NoNoNo2Pro & Farm995,000$35,536$995,000$35,536$0$0$Yes995,000$Lien / Lien NHL
Brendan LemieuxMonsters (CBJ)LW/RW281996-03-15No215 Lbs6 ft1NoNoNo2Pro & Farm775,000$27,679$775,000$27,679$0$0$No775,000$Lien / Lien NHL
Graeme ClarkeMonsters (CBJ)RW232001-04-24Yes175 Lbs6 ft0NoNoNo2Pro & Farm950,000$33,929$950,000$33,929$0$0$No950,000$Lien / Lien NHL
Gustav LindstromMonsters (CBJ)D251998-10-20No194 Lbs6 ft2NoNoNo2Pro & Farm998,900$35,675$998,900$35,675$0$0$No998,900$Lien / Lien NHL
Jacob Larsson (contrat à 1 volet)Monsters (CBJ)D271997-04-29No193 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$42,857$1,200,000$42,857$1,200,000$42,857$NoLien / Lien NHL
Justin BarronMonsters (CBJ)D222001-11-15Yes202 Lbs6 ft2NoNoNo1Pro & Farm950,000$33,929$950,000$33,929$0$0$NoLien / Lien NHL
Kaedan KorczakMonsters (CBJ)D232001-01-29Yes201 Lbs6 ft3NoNoNo1Pro & Farm890,000$31,786$890,000$31,786$0$0$NoLien / Lien NHL
Liam Foudy (contrat à 1 volet)Monsters (CBJ)C/RW242000-02-04Yes193 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$35,714$1,000,000$35,714$1,000,000$35,714$No1,000,000$Lien / Lien NHL
Mason MorelliMonsters (CBJ)C/LW281996-02-01No198 Lbs6 ft1NoNoNo3Pro & Farm900,000$32,143$900,000$32,143$0$0$No900,000$900,000$Lien / Lien NHL
Matthew HighmoreMonsters (CBJ)C/LW/RW281996-02-27No188 Lbs5 ft11NoNoNo3Pro & Farm900,000$32,143$900,000$32,143$0$0$No900,000$900,000$Lien / Lien NHL
Nathan GaucherMonsters (CBJ)C202003-11-06Yes207 Lbs6 ft3NoNoNo3Pro & Farm950,000$33,929$950,000$33,929$0$0$No950,000$950,000$
Nathan LegareMonsters (CBJ)RW232001-01-11Yes205 Lbs6 ft0NoNoNo1Pro & Farm950,000$33,929$950,000$33,929$0$0$NoLien / Lien NHL
Patrick GuayMonsters (CBJ)C222002-04-29Yes181 Lbs5 ft9NoNoNo2Pro & Farm950,000$33,929$950,000$33,929$0$0$No950,000$Lien / Lien NHL
Remi PoirierMonsters (CBJ)G222001-10-06Yes210 Lbs6 ft2NoNoNo2Pro & Farm950,000$33,929$950,000$33,929$0$0$No950,000$Lien / Lien NHL
Ville Ottavainen (sur la masse salariale)Monsters (CBJ)D222002-08-12Yes210 Lbs6 ft5NoNoNo3Pro & Farm950,000$33,929$950,000$33,929$0$0$Yes950,000$950,000$
Xavier ParentMonsters (CBJ)C/LW232001-03-23Yes170 Lbs5 ft8NoNoNo2Pro & Farm950,000$33,929$950,000$33,929$0$0$No950,000$Lien / Lien NHL
Xavier SimoneauMonsters (CBJ)C232001-05-19Yes183 Lbs5 ft6NoNoNo2Pro & Farm950,000$33,929$950,000$33,929$0$0$No950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.48198 Lbs6 ft12.09946,691$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesLiam Foudy40122
2Matthew HighmoreMason MorelliAlex Steeves30122
3Brendan LemieuxBrendan BrissonGraeme Clarke20122
4Liam Foudy10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin Barron40122
2Brayden PachalKaedan Korczak30122
3Jacob Larsson20122
4Aidan FulpJustin Barron10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesLiam Foudy60122
2Matthew HighmoreMason MorelliAlex Steeves40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin Barron60122
2Brayden PachalKaedan Korczak40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Liam Foudy60122
2Alex LimogesMason Morelli40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin Barron60122
2Brayden PachalKaedan Korczak40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Justin Barron60122
2Liam Foudy40122Brayden PachalKaedan Korczak40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam Foudy60122
2Alex LimogesMason Morelli40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin Barron60122
2Brayden PachalKaedan Korczak40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesLiam FoudyJustin Barron
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesLiam FoudyJustin Barron
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Simoneau, Brendan Brisson, Brendan LemieuxXavier Simoneau, Brendan BrissonBrendan Lemieux
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Larsson, , Aidan FulpJacob Larsson, Aidan Fulp
Tirs de pénalité
, Liam Foudy, Alex Limoges, Mason Morelli, Matthew Highmore
Gardien
#1 : Remi Poirier, #2 : Brandon Halverson
Lignes d’attaque personnalisées en prolongation
, Liam Foudy, Alex Limoges, Mason Morelli, Matthew Highmore, Alex Steeves, Alex Steeves, Brendan Brisson, Brendan Lemieux, Graeme Clarke,
Lignes de défense personnalisées en prolongation
Justin Barron, , Brayden Pachal, Kaedan Korczak, Jacob Larsson


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
Total
Domicile
Visiteur
#
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
1Admirals210010001073110000005321000100054141.000102030001018880127992990790939721616416233.33%7271.43%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
2Americans30200001713-62010000169-31010000014-310.167713200010188801210092990790939122222397300.00%90100.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
3Barracuda2110000079-2110000006331010000016-520.5007142100101888012749299079093967238448225.00%3166.67%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
4Bears211000007701010000025-31100000052320.50071219001018880126692990790939751920465120.00%10280.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
5Bruins3020100058-31010000034-12010100024-220.33359140010188801211092990790939902920711300.00%10190.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
6Checkers3120000068-22110000056-11010000012-120.333610160010188801210092990790939882916747114.29%7271.43%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
7Comets2020000029-71010000026-41010000003-300.00024600101888012559299079093969222049200.00%9277.78%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
8Condors21000100660110000003211000010034-130.75061218001018880126192990790939601918636233.33%4250.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
9Crunch3110100010100100010005412110000056-140.667101929001018880121259299079093911322206618422.22%9366.67%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
10Devils302010001214-220101000101001010000024-220.333122335001018880121079299079093995212869100.00%13376.92%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
11Eagles21100000770110000004311010000034-120.50071421001018880127692990790939632418535120.00%7185.71%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
12Firebirds210010001082100010006511100000043141.0001020300010188801286929907909395717203911327.27%8450.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
13Griffins330000001266220000008351100000043161.00012213301101888012113929907909398426187911327.27%9277.78%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
14Gulls210010001073110000004221000100065141.000101929001018880126592990790939691523466116.67%7185.71%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
15IceHogs220000001266110000005321100000073441.000122234001018880127592990790939662314485240.00%7185.71%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
16Marlies33000000161061100000042222000000128461.00016264200101888012105929907909391041627708450.00%11281.82%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
17Moose2010001057-21010000025-31000001032120.5005712001018880125292990790939692414535120.00%6183.33%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
18Penguins31100100111101010000035-22100010086230.500112132001018880128992990790939972720567228.57%10190.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
19Phantoms311001001112-1211000007701000010045-130.500112031001018880121029299079093910729266310220.00%13284.62%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
20Reign2020000046-21010000034-11010000012-100.0004711001018880127692990790939651410536116.67%5260.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
21Roadrunners21001000752110000002111000100054141.00071421001018880128992990790939761412398112.50%6183.33%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
22Rocket31200000711-42020000049-51100000032120.33371219001018880129992990790939882827769222.22%11281.82%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
23Senators312000001013-31100000031220200000712-520.33310203000101888012122929907909399837189010110.00%8275.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
24Silver Knights21100000761110000004221010000034-120.50071219001018880126792990790939661812398337.50%60100.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
25Sound Tigers32100000161241100000063321100000109140.667162743001018880121179299079093911926227411545.45%9366.67%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
26Stars20200000612-61010000015-41010000057-200.000612180010188801256929907909397028266110330.00%7357.14%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
27Thunderbirds201010009901010000056-11000100043120.50091726001018880126792990790939632314545360.00%7271.43%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
28Wild21100000910-11010000046-21100000054120.50091625001018880129392990790939571814701516.67%7271.43%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
29Wolf Pack403010001721-420101000910-120200000811-320.250172946001018880121439299079093913640418021419.05%17476.47%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
30Wolves422000001112-1211000006602110000056-140.500112031101018880121399299079093912238348715213.33%11190.91%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
31Wranglers210010001156100010005411100000061541.00011203100101888012679299079093968172049400.00%80100.00%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
Total782934010311280287-739161705001142144-239131705310138143-5840.53828051279211101888012277592990790939259572461918992595722.01%2615578.93%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
_Since Last GM Reset782934010311280287-739161705001142144-239131705310138143-5840.53828051279211101888012277592990790939259572461918992595722.01%2615578.93%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
_Vs Conference46172204201158168-1023811030018184-323911012007784-7450.48915828244011101888012163792990790939153840936010981493120.81%1573080.89%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
_Vs Division22711022008589-41136020004346-31145002004243-1200.455851522371010188801276392990790939751200191475701622.86%831680.72%01560300151.98%1481278353.22%710134652.75%1939135117595671015514

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7884L128051279227752595724619189911
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
78293410311280287
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3916175001142144
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3913175310138143
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2595722.01%2615578.93%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
92990790939101888012
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
1560300151.98%1481278353.22%710134652.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1939135117595671015514


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
7 - 2024-10-1018Monsters5Wild4AWSommaire du match
9 - 2024-10-1234Monsters3Eagles4ALSommaire du match
12 - 2024-10-1551Checkers2Monsters3BWSommaire du match
14 - 2024-10-1767Americans4Monsters3BLXXSommaire du match
16 - 2024-10-1983Wild6Monsters4BLSommaire du match
19 - 2024-10-2297Marlies2Monsters4BWSommaire du match
23 - 2024-10-26131Monsters5Admirals4AWXSommaire du match
25 - 2024-10-28142Condors2Monsters3BWSommaire du match
27 - 2024-10-30155Sound Tigers3Monsters6BWSommaire du match
29 - 2024-11-01171Moose5Monsters2BLSommaire du match
30 - 2024-11-02177Monsters5Bears2AWSommaire du match
33 - 2024-11-05204Monsters1Barracuda6ALSommaire du match
37 - 2024-11-09234Monsters1Reign2ALSommaire du match
38 - 2024-11-10238Monsters6Gulls5AWXSommaire du match
40 - 2024-11-12251Monsters4Firebirds3AWSommaire du match
43 - 2024-11-15267Penguins5Monsters3BLSommaire du match
44 - 2024-11-16275Monsters3Rocket2AWSommaire du match
46 - 2024-11-18288Monsters0Bruins3ALSommaire du match
49 - 2024-11-21311Crunch4Monsters5BWXSommaire du match
51 - 2024-11-23328Wolves3Monsters5BWSommaire du match
55 - 2024-11-27355Rocket5Monsters3BLSommaire du match
57 - 2024-11-29368Wranglers4Monsters5BWXSommaire du match
59 - 2024-12-01390Monsters7IceHogs3AWSommaire du match
61 - 2024-12-03404Monsters6Wranglers1AWSommaire du match
63 - 2024-12-05418Monsters3Condors4ALXSommaire du match
64 - 2024-12-06422Monsters0Comets3ALSommaire du match
66 - 2024-12-08439Monsters3Moose2AWXXSommaire du match
68 - 2024-12-10449Phantoms3Monsters1BLSommaire du match
70 - 2024-12-12463Bears5Monsters2BLSommaire du match
72 - 2024-12-14481Gulls2Monsters4BWSommaire du match
73 - 2024-12-15491Monsters2Wolves4ALSommaire du match
75 - 2024-12-17498Monsters3Crunch2AWSommaire du match
77 - 2024-12-19514Devils4Monsters5BWXSommaire du match
79 - 2024-12-21535Monsters4Phantoms5ALXSommaire du match
81 - 2024-12-23551Rocket4Monsters1BLSommaire du match
85 - 2024-12-27561Bruins4Monsters3BLSommaire du match
86 - 2024-12-28570Monsters2Bruins1AWXSommaire du match
89 - 2024-12-31594Wolves3Monsters1BLSommaire du match
91 - 2025-01-02606Griffins3Monsters4BWSommaire du match
93 - 2025-01-04625Thunderbirds6Monsters5BLSommaire du match
96 - 2025-01-07645Monsters3Penguins4ALXSommaire du match
98 - 2025-01-09660Firebirds5Monsters6BWXSommaire du match
100 - 2025-01-11677Monsters4Thunderbirds3AWXSommaire du match
103 - 2025-01-14698Phantoms4Monsters6BWSommaire du match
105 - 2025-01-16711Barracuda3Monsters6BWSommaire du match
107 - 2025-01-18728Monsters5Wolf Pack7ALSommaire du match
109 - 2025-01-20745Monsters5Sound Tigers3AWSommaire du match
111 - 2025-01-22757Monsters7Marlies4AWSommaire du match
112 - 2025-01-23764Monsters3Wolves2AWSommaire du match
114 - 2025-01-25782Reign4Monsters3BLSommaire du match
119 - 2025-01-30820Monsters3Silver Knights4ALSommaire du match
120 - 2025-01-31825Monsters5Roadrunners4AWXSommaire du match
122 - 2025-02-02840Monsters5Stars7ALSommaire du match
124 - 2025-02-04846Monsters1Americans4ALSommaire du match
126 - 2025-02-06865Roadrunners1Monsters2BWSommaire du match
128 - 2025-02-08882Wolf Pack6Monsters4BLSommaire du match
142 - 2025-02-22902IceHogs3Monsters5BWSommaire du match
145 - 2025-02-25924Stars5Monsters1BLSommaire du match
147 - 2025-02-27935Monsters4Griffins3AWSommaire du match
149 - 2025-03-01948Griffins0Monsters4BWSommaire du match
152 - 2025-03-04976Monsters2Crunch4ALSommaire du match
154 - 2025-03-06990Monsters1Checkers2ALSommaire du match
157 - 2025-03-091017Monsters3Wolf Pack4ALSommaire du match
159 - 2025-03-111026Monsters2Devils4ALSommaire du match
161 - 2025-03-131045Silver Knights2Monsters4BWSommaire du match
163 - 2025-03-151062Wolf Pack4Monsters5BWXSommaire du match
165 - 2025-03-171075Devils6Monsters5BLSommaire du match
168 - 2025-03-201093Checkers4Monsters2BLSommaire du match
169 - 2025-03-211103Monsters5Penguins2AWSommaire du match
172 - 2025-03-241126Monsters5Sound Tigers6ALSommaire du match
176 - 2025-03-281155Comets6Monsters2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291164Monsters5Senators6ALSommaire du match
180 - 2025-04-011185Admirals3Monsters5BWSommaire du match
182 - 2025-04-031199Eagles3Monsters4BWSommaire du match
184 - 2025-04-051216Monsters5Marlies4AWSommaire du match
185 - 2025-04-061224Monsters2Senators6ALSommaire du match
187 - 2025-04-081239Senators1Monsters3BWSommaire du match
189 - 2025-04-101253Americans5Monsters3BLSommaire du match
191 - 2025-04-121270Bears-Monsters-
192 - 2025-04-131281Monsters-Bears-
194 - 2025-04-151295Monsters-Phantoms-
196 - 2025-04-171312Sound Tigers-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance76,88538,605
Assistance PCT98.57%98.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-29 2961 - 98.71% 80,167$3,126,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,892,325$ 1,957,390$ 1,762,890$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,014,044$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,324,833$ 7 14,579$ 102,053$




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
5Charlie Lindgren148597150.9123.82807010251458710440.85721

Monsters Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
20228239280563134230933412410034001761354141151802231166174-81013426229641113010797930199731005100454283885150519462587127.52%2085374.52%21687304355.44%1492281852.95%727143150.80%2147155117995581015525
202382373404331282296-1441152002211138159-2141221402120144137792282512794339690891029408591005104550302089267720082684717.54%2785380.94%61578298152.94%1611314851.18%728137253.06%2025143419105801022516
2024782934010311280287-739161705001142144-239131705310138143-58428051279211101888012277592990790939259572461918992595722.01%2615578.93%01560300151.98%1481278353.22%710134652.75%1939135117595671015514
Total Saison régulière26209841144011011914112284148991-577131052354606756595943354439-104131046159804363826340794552-4732711841414195226094985439233630242403870233805276613012924772898852829422898663026953168324.21%6999179274.40%107337966855349.30%335606979448.08%199494050549.25%548003103961669267884762123524
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
2022624000001820-231200000910-131200000910-1418304810963022471585144200696015723313.04%30680.00%011624447.54%11323448.29%6510959.63%183128165529145
2023734000002128-7321000001312141300000816-8621385900776121067545831273869118918211.11%39976.92%012624850.81%15730351.82%8013658.82%171117189569546
Total Séries éliminatoires149727700000497504-7733934000002602501076334300000237254-1714449782313205116124203141562713818171837171758301999129840093388725.74%4279577.75%111969392950.11%2044406150.33%1235238451.80%321017805087240428241400

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
5Anthony Stolarz73310.8933.8042620272530000.0000