Monsters
GP: 34 | W: 19 | L: 12 | OTL: 3 | P: 41
GF: 119 | GA: 118 | PP%: 19.13% | PK%: 81.58%
DG: Eric Leclerc | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #551 vs Rocket
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Centre de jeu
Devils
18-15-3, 39pts
4
FINAL
5 Monsters
19-12-3, 41pts
Team Stats
W1StreakOTL1
10-8-1Home Record9-6-1
8-7-2Away Record10-6-2
5-2-3Last 10 Games4-4-2
3.00Buts par match 3.50
2.94Buts contre par match 3.47
25.22%Pourcentage en avantage numérique19.13%
82.14%Pourcentage en désavantage numérique81.58%
Monsters
19-12-3, 41pts
4
FINAL
5 Phantoms
17-13-4, 38pts
Team Stats
OTL1StreakW1
9-6-1Home Record10-5-3
10-6-2Away Record7-8-1
4-4-2Last 10 Games4-4-2
3.50Buts par match 3.56
3.47Buts contre par match 3.15
19.13%Pourcentage en avantage numérique19.84%
81.58%Pourcentage en désavantage numérique80.17%
Rocket
12-15-6, 30pts
2024-12-23
Monsters
19-12-3, 41pts
Statistiques d’équipe
L2SéquenceOTL1
6-11-2Fiche domicile9-6-1
6-4-4Fiche visiteur10-6-2
4-4-210 derniers matchs4-4-2
3.03Buts par match 3.50
3.55Buts contre par match 3.47
21.74%Pourcentage en avantage numérique19.13%
78.70%Pourcentage en désavantage numérique81.58%
Bruins
23-10-2, 48pts
2024-12-27
Monsters
19-12-3, 41pts
Statistiques d’équipe
OTL1SéquenceOTL1
12-5-1Fiche domicile9-6-1
11-5-1Fiche visiteur10-6-2
5-4-110 derniers matchs4-4-2
3.83Buts par match 3.50
3.11Buts contre par match 3.47
23.89%Pourcentage en avantage numérique19.13%
80.54%Pourcentage en désavantage numérique81.58%
Monsters
19-12-3, 41pts
2024-12-28
Bruins
23-10-2, 48pts
Statistiques d’équipe
OTL1SéquenceOTL1
9-6-1Fiche domicile12-5-1
10-6-2Fiche visiteur11-5-1
4-4-210 derniers matchs5-4-1
3.50Buts par match 3.83
3.47Buts contre par match 3.11
19.13%Pourcentage en avantage numérique23.89%
81.58%Pourcentage en désavantage numérique80.54%
Meneurs d'équipe
Remi PoirierVictoires
Remi Poirier
19
Pourcentage d’arrêts
Brandon Halverson
0.905

Statistiques d’équipe
Buts pour
119
3.50 GFG
Tirs pour
1147
33.74 Avg
Pourcentage en avantage numérique
19.1%
22 GF
Début de zone offensive
42.1%
Buts contre
118
3.47 GAA
Tirs contre
1118
32.88 Avg
Pourcentage en désavantage numérique
81.6%
21 GA
Début de la zone défensive
38.9%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,959
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 80
Espoirs32


Historique d'équipe

Saison actuelle19-12-3 (41PTS)
Historique1214-1122-227 (0.474%)
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 SPÂgeContratSalaire 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$
5Matthew Highmore0XXX100.00663688657080826473676166636870075640283900,000$
6Graeme Clarke (R)0X100.00683689636990866258606163626465075630232950,000$
7Brendan Lemieux0XX100.00837058668076746357605862567069075630282775,000$
8Xavier Simoneau (R)0X100.00653961646273816370675660626467075610232950,000$
9Nathan Gaucher (R)0X100.00765073598575735863565759566163075610203950,000$
10Nathan Legare (R)0X100.00664269587580835753545659556365075590231950,000$
11Justin Barron (R)0X100.00723889698186876730706864556364075670221950,000$
12Jordan Spence (R)0X100.00664189676883856530735963506365075650231950,000$
13Brayden Pachal (R)0X100.00754466648182816230635968536567075640252995,000$
14Gustav Lindstrom0X100.00723883657983766230686061506668075640252998,900$
15Kaedan Korczak (R)0X100.00744273648485816230685961506365075640231890,000$
16William Lagesson0X100.007642776183828059306557694868700756402831,283,000$
17Aidan Fulp0X100.00814291559063695430575163466466075600243870,000$
Rayé
1Brendan Gaunce0XX100.00784278668786776385646567637072075660302995,000$
2Mason Morelli99XX100.00714074647783866361606762666870075640283900,000$
3Xavier Parent (R)0XX100.00623776606278755967605754596365075600232950,000$
4Patrick Guay (R)0X100.00573876556667655459535251546264075560222950,000$
5Jacob Larsson0X100.007040746479768358306055594967690756202711,200,000$
6Ville Ottavainen (R)0X100.00824087569172735530585461466264075610223950,000$
7Tyson Hinds (R)0X100.00724081558163725430535256456163075580213950,000$
MOYENNE D’ÉQUIPE100.0071417963778079615162596156656707563
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 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’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
1Alex LimogesMonsters (CBJ)C/LW341520351602862118399212.71%780323.643362110000031233247.46%5900000.8702000533
2Justin BarronMonsters (CBJ)D34824325340776267165711.94%5985425.1326832104000183200.00%000000.7500000221
3Liam FoudyMonsters (CBJ)C/RW341714311803169135349012.59%1275122.09336231010001521245.87%10900000.8312000421
4Jordan SpenceMonsters (CBJ)D3432730324068486612334.55%5885425.1317834104000389100.00%000000.7000000012
5Brendan GaunceMonsters (CBJ)C/LW3472027-6235103133114311116.14%1080723.7615614970001911058.99%114600000.6712010121
6Gustav LindstromMonsters (CBJ)D3422123114031493913315.13%3672421.312682389000087000.00%000000.6300000001
7Matthew HighmoreMonsters (CBJ)C/LW/RW3312112311002756108387811.11%861418.634262289000061142.62%6100000.7501000011
8Mason MorelliMonsters (CBJ)C/LW32128208175716581166214.81%654417.0113414730000394047.92%64900000.7301010301
9William LagessonMonsters (CBJ)D3451520-54610843947213010.64%4368320.102242774000077020.00%000000.5900011111
10Brendan BrissonMonsters (CBJ)C/LW/RW3461218-22014818223597.32%552615.480222230000401050.44%57300000.6801000002
11Graeme ClarkeMonsters (CBJ)RW349918-700124062234714.52%1045713.4700003000003141.86%4300000.7900000120
12Alex SteevesMonsters (CBJ)C/LW/RW348816810046418322799.64%1065819.3632523930000230057.38%6100000.4900000010
13Brendan LemieuxMonsters (CBJ)LW/RW347916-8320924162194811.29%545913.5100001000091053.70%5400000.7000000101
14Brayden PachalMonsters (CBJ)D341910-136078233310243.03%2351015.03000317000029000.00%000000.3900000010
15Aidan FulpMonsters (CBJ)D19156-46022961216.67%1825913.6700001000026000.00%000000.4600000101
16Xavier SimoneauMonsters (CBJ)C342460206151632012.50%01323.9000004000080050.64%15600000.9000000001
17Kaedan KorczakMonsters (CBJ)D16123-2802617105110.00%1221613.540001200000000.00%000000.2800000000
18Nathan GaucherMonsters (CBJ)C34112-755121512168.33%11253.6900000000000055.70%14900000.3200010000
19Nathan LegareMonsters (CBJ)RW19101-3002152220.00%0512.7200000000000066.67%300000.3900000000
20Patrick GuayMonsters (CBJ)C10000-100001020.00%080.8700001000000060.00%500000.0000000000
21Xavier ParentMonsters (CBJ)C/LW2000000010000.00%000.180000000000000.00%000000.0000000000
22Ville OttavainenMonsters (CBJ)D15000000000000.00%010.120000100000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne622118219337-827325830867114732987410.29%3231004916.16224163239987000979118853.10%306800000.6729041191617
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
1Remi PoirierMonsters (CBJ)34191230.8953.4320120011510970100.7789340102
2Brandon HalversonMonsters (CBJ)30000.9052.4549002210000.0000034000
Statistiques d’équipe totales ou en moyenne37191230.8953.4120610011711180100.77893434102


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
Aidan FulpMonsters (CBJ)D242000-02-29No216 Lbs6 ft4NoNoNo3Pro & Farm870,000$519,337$870,000$519,337$0$0$No870,000$870,000$Lien
Alex LimogesMonsters (CBJ)C/LW271997-09-16Yes201 Lbs6 ft1NoNoNo3Pro & Farm900,000$537,245$900,000$537,245$0$0$No900,000$900,000$Lien / Lien NHL
Alex SteevesMonsters (CBJ)C/LW/RW241999-12-10Yes196 Lbs6 ft0NoNoNo1Pro & Farm950,000$567,092$950,000$567,092$0$0$NoLien / Lien NHL
Brandon HalversonMonsters (CBJ)G281996-03-29No210 Lbs6 ft4NoNoNo3Pro & Farm900,000$537,245$900,000$537,245$0$0$No900,000$900,000$Lien
Brayden PachalMonsters (CBJ)D251999-08-23Yes202 Lbs6 ft2NoNoNo2Pro & Farm995,000$593,954$995,000$593,954$0$0$No995,000$Lien / Lien NHL
Brendan BrissonMonsters (CBJ)C/LW/RW222001-10-22Yes191 Lbs6 ft0NoNoNo2Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$Lien / Lien NHL
Brendan GaunceMonsters (CBJ)C/LW301994-03-25No219 Lbs6 ft3NoNoNo2Pro & Farm995,000$593,954$995,000$593,954$0$0$No995,000$Lien / Lien NHL
Brendan LemieuxMonsters (CBJ)LW/RW281996-03-15No215 Lbs6 ft1NoNoNo2Pro & Farm775,000$462,628$775,000$462,628$0$0$No775,000$Lien / Lien NHL
Graeme ClarkeMonsters (CBJ)RW232001-04-24Yes175 Lbs6 ft0NoNoNo2Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$Lien / Lien NHL
Gustav LindstromMonsters (CBJ)D251998-10-20No194 Lbs6 ft2NoNoNo2Pro & Farm998,900$596,282$998,900$596,282$0$0$No998,900$Lien / Lien NHL
Jacob Larsson (contrat à 1 volet)Monsters (CBJ)D271997-04-29No193 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$716,327$1,200,000$716,327$1,200,000$716,327$NoLien / Lien NHL
Jordan SpenceMonsters (CBJ)D232001-02-24Yes180 Lbs5 ft11NoNoNo1Pro & Farm950,000$567,092$950,000$567,092$0$0$NoLien / Lien NHL
Justin BarronMonsters (CBJ)D222001-11-15Yes202 Lbs6 ft2NoNoNo1Pro & Farm950,000$567,092$950,000$567,092$0$0$NoLien / Lien NHL
Kaedan KorczakMonsters (CBJ)D232001-01-29Yes201 Lbs6 ft3NoNoNo1Pro & Farm890,000$531,276$890,000$531,276$0$0$NoLien / Lien NHL
Liam Foudy (contrat à 1 volet)Monsters (CBJ)C/RW242000-02-04Yes193 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$596,939$1,000,000$596,939$1,000,000$596,939$No1,000,000$Lien / Lien NHL
Mason MorelliMonsters (CBJ)C/LW281996-02-01No198 Lbs6 ft1NoNoNo3Pro & Farm900,000$537,245$900,000$537,245$0$0$No900,000$900,000$Lien / Lien NHL
Matthew HighmoreMonsters (CBJ)C/LW/RW281996-02-27No188 Lbs5 ft11NoNoNo3Pro & Farm900,000$537,245$900,000$537,245$0$0$No900,000$900,000$Lien / Lien NHL
Nathan GaucherMonsters (CBJ)C202003-11-06Yes207 Lbs6 ft3NoNoNo3Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$950,000$
Nathan LegareMonsters (CBJ)RW232001-01-11Yes205 Lbs6 ft0NoNoNo1Pro & Farm950,000$567,092$950,000$567,092$0$0$NoLien / Lien NHL
Patrick GuayMonsters (CBJ)C222002-04-29Yes181 Lbs5 ft9NoNoNo2Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$Lien / Lien NHL
Remi PoirierMonsters (CBJ)G222001-10-06Yes210 Lbs6 ft2NoNoNo2Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$Lien / Lien NHL
Tyson HindsMonsters (CBJ)D212003-03-12Yes188 Lbs6 ft3NoNoNo3Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$950,000$
Ville OttavainenMonsters (CBJ)D222002-08-12Yes210 Lbs6 ft5NoNoNo3Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$950,000$
William Lagesson (contrat à 1 volet)Monsters (CBJ)D281996-02-22No211 Lbs6 ft2NoNoNo3Pro & Farm1,283,000$765,872$1,283,000$765,872$1,283,000$765,872$No1,283,000$1,283,000$Lien / Lien NHL
Xavier ParentMonsters (CBJ)C/LW232001-03-23Yes170 Lbs5 ft8NoNoNo2Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$Lien / Lien NHL
Xavier SimoneauMonsters (CBJ)C232001-05-19Yes183 Lbs5 ft6NoNoNo2Pro & Farm950,000$567,092$950,000$567,092$0$0$No950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.42198 Lbs6 ft12.12959,881$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesLiam Foudy40122
2Alex SteevesBrendan BrissonMatthew Highmore30122
3Brendan LemieuxXavier SimoneauGraeme Clarke20122
4Nathan GaucherNathan Legare10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronJordan Spence40122
2Brayden PachalGustav Lindstrom30122
3Kaedan KorczakWilliam Lagesson20122
4Aidan FulpJustin Barron10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesLiam Foudy60122
2Alex SteevesBrendan BrissonMatthew Highmore40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronJordan Spence60122
2Brayden PachalGustav Lindstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex Limoges60122
2Liam FoudyBrendan Brisson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronJordan Spence60122
2Brayden PachalGustav Lindstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Justin BarronJordan Spence60122
2Alex Limoges40122Brayden PachalGustav Lindstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex Limoges60122
2Liam FoudyBrendan Brisson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronJordan Spence60122
2Brayden PachalGustav Lindstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesLiam FoudyJustin BarronJordan Spence
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesLiam FoudyJustin BarronJordan Spence
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Graeme Clarke, Brendan Lemieux, Xavier SimoneauGraeme Clarke, Brendan LemieuxXavier Simoneau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaedan Korczak, William Lagesson, Aidan FulpKaedan KorczakWilliam Lagesson, Aidan Fulp
Tirs de pénalité
, Alex Limoges, Liam Foudy, Brendan Brisson, Alex Steeves
Gardien
#1 : Remi Poirier, #2 : Brandon Halverson
Lignes d’attaque personnalisées en prolongation
, Alex Limoges, Liam Foudy, Brendan Brisson, Alex Steeves, Matthew Highmore, Matthew Highmore, Graeme Clarke, Brendan Lemieux, Xavier Simoneau, Nathan Gaucher
Lignes de défense personnalisées en prolongation
Justin Barron, Jordan Spence, Brayden Pachal, Gustav Lindstrom, Kaedan Korczak


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
1Admirals10001000541000000000001000100054121.00051015003838377433903733672642810185120.00%4175.00%0689127953.87%628118253.13%31257654.17%849591768246445226
2Americans1000000134-11000000134-10000000000010.50036900383837730390373367264710629000.00%30100.00%0689127953.87%628118253.13%31257654.17%849591768246445226
3Barracuda1010000016-5000000000001010000016-500.00012300383837724390373367263112624300.00%2150.00%0689127953.87%628118253.13%31257654.17%849591768246445226
4Bears211000007701010000025-31100000052320.500712190038383776639037336726751920465120.00%10280.00%0689127953.87%628118253.13%31257654.17%849591768246445226
5Bruins1010000003-3000000000001010000003-300.00000000383837728390373367263241224300.00%60100.00%0689127953.87%628118253.13%31257654.17%849591768246445226
6Checkers11000000321110000003210000000000021.0003580038383773439037336726248023200.00%000.00%0689127953.87%628118253.13%31257654.17%849591768246445226
7Comets1010000003-3000000000001010000003-300.00000000383837728390373367263315819100.00%30100.00%0689127953.87%628118253.13%31257654.17%849591768246445226
8Condors21000100660110000003211000010034-130.750612180038383776139037336726601918636233.33%4250.00%0689127953.87%628118253.13%31257654.17%849591768246445226
9Crunch21001000862100010005411100000032141.0008152300383837795390373367267418124712325.00%5260.00%0689127953.87%628118253.13%31257654.17%849591768246445226
10Devils10001000541100010005410000000000021.0005101500383837731390373367263111821100.00%4175.00%0689127953.87%628118253.13%31257654.17%849591768246445226
11Eagles1010000034-1000000000001010000034-100.0003690038383772839037336726381610333133.33%50100.00%0689127953.87%628118253.13%31257654.17%849591768246445226
12Firebirds11000000431000000000001100000043121.0004812003838377283903733672628812203133.33%6266.67%0689127953.87%628118253.13%31257654.17%849591768246445226
13Gulls210010001073110000004221000100065141.0001019290038383776539037336726691523466116.67%7185.71%0689127953.87%628118253.13%31257654.17%849591768246445226
14IceHogs11000000734000000000001100000073421.00071320003838377413903733672634174323133.33%20100.00%0689127953.87%628118253.13%31257654.17%849591768246445226
15Marlies11000000422110000004220000000000021.000481200383837733390373367263864233266.67%20100.00%0689127953.87%628118253.13%31257654.17%849591768246445226
16Moose2010001057-21010000025-31000001032120.50057120038383775239037336726692414535120.00%6183.33%0689127953.87%628118253.13%31257654.17%849591768246445226
17Penguins1010000035-21010000035-20000000000000.00035800383837725390373367262878223133.33%4175.00%0689127953.87%628118253.13%31257654.17%849591768246445226
18Phantoms2010010058-31010000013-21000010045-110.2505914003838377613903733672676242238600.00%11281.82%0689127953.87%628118253.13%31257654.17%849591768246445226
19Reign1010000012-1000000000001010000012-100.0001230038383773839037336726206425500.00%2150.00%0689127953.87%628118253.13%31257654.17%849591768246445226
20Rocket2110000067-11010000035-21100000032120.500611170038383777439037336726511717479222.22%6183.33%0689127953.87%628118253.13%31257654.17%849591768246445226
21Sound Tigers11000000633110000006330000000000021.0006111700383837735390373367263498213266.67%3166.67%0689127953.87%628118253.13%31257654.17%849591768246445226
22Wild21100000910-11010000046-21100000054120.500916250038383779339037336726571814701516.67%7271.43%0689127953.87%628118253.13%31257654.17%849591768246445226
23Wolves21100000770110000005321010000024-220.500712190038383776739037336726591513379222.22%40100.00%0689127953.87%628118253.13%31257654.17%849591768246445226
24Wranglers210010001156100010005411100000061541.000112031003838377673903733672668172049400.00%80100.00%0689127953.87%628118253.13%31257654.17%849591768246445226
Total3413120521111911811666030015859-118760221061592410.60311921933800383837711473903733672611183232738301152219.13%1142181.58%0689127953.87%628118253.13%31257654.17%849591768246445226
_Since Last GM Reset3413120521111911811666030015859-118760221061592410.60311921933800383837711473903733672611183232738301152219.13%1142181.58%0689127953.87%628118253.13%31257654.17%849591768246445226
_Vs Conference1776021015758-111440200140400632001001718-1200.5885710416100383837757939037336726569148130378561323.21%581082.76%0689127953.87%628118253.13%31257654.17%849591768246445226
_Vs Division934011003334-1623010002223-1311001001111090.50033599200383837728539037336726303857918527622.22%36780.56%0689127953.87%628118253.13%31257654.17%849591768246445226

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3441OTL11192193381147111832327383000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3413125211119118
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
166630015859
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
187622106159
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1152219.13%1142181.58%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
390373367263838377
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
689127953.87%628118253.13%31257654.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
849591768246445226


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
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 - 2024-12-23551Rocket-Monsters-
85 - 2024-12-27561Bruins-Monsters-
86 - 2024-12-28570Monsters-Bruins-
89 - 2024-12-31594Wolves-Monsters-
91 - 2025-01-02606Griffins-Monsters-
93 - 2025-01-04625Thunderbirds-Monsters-
96 - 2025-01-07645Monsters-Penguins-
98 - 2025-01-09660Firebirds-Monsters-
100 - 2025-01-11677Monsters-Thunderbirds-
103 - 2025-01-14698Phantoms-Monsters-
105 - 2025-01-16711Barracuda-Monsters-
107 - 2025-01-18728Monsters-Wolf Pack-
109 - 2025-01-20745Monsters-Sound Tigers-
111 - 2025-01-22757Monsters-Marlies-
112 - 2025-01-23764Monsters-Wolves-
114 - 2025-01-25782Reign-Monsters-
119 - 2025-01-30820Monsters-Silver Knights-
120 - 2025-01-31825Monsters-Roadrunners-
122 - 2025-02-02840Monsters-Stars-
124 - 2025-02-04846Monsters-Americans-
126 - 2025-02-06865Roadrunners-Monsters-
128 - 2025-02-08882Wolf Pack-Monsters-
142 - 2025-02-22902IceHogs-Monsters-
145 - 2025-02-25924Stars-Monsters-
147 - 2025-02-27935Monsters-Griffins-
149 - 2025-03-01948Griffins-Monsters-
152 - 2025-03-04976Monsters-Crunch-
154 - 2025-03-06990Monsters-Checkers-
157 - 2025-03-091017Monsters-Wolf Pack-
159 - 2025-03-111026Monsters-Devils-
161 - 2025-03-131045Silver Knights-Monsters-
163 - 2025-03-151062Wolf Pack-Monsters-
165 - 2025-03-171075Devils-Monsters-
168 - 2025-03-201093Checkers-Monsters-
169 - 2025-03-211103Monsters-Penguins-
172 - 2025-03-241126Monsters-Sound Tigers-
176 - 2025-03-281155Comets-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291164Monsters-Senators-
180 - 2025-04-011185Admirals-Monsters-
182 - 2025-04-031199Eagles-Monsters-
184 - 2025-04-051216Monsters-Marlies-
185 - 2025-04-061224Monsters-Senators-
187 - 2025-04-081239Senators-Monsters-
189 - 2025-04-101253Americans-Monsters-
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
Assistance31,58515,761
Assistance PCT98.70%98.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 2959 - 98.64% 80,159$1,282,549$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,227,833$ 2,147,390$ 2,147,390$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 863,688$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-480,956$ 117 15,548$ 1,819,116$




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

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
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
20243413120521111911811666030015859-1187602210615924111921933800383837711473903733672611183232738301152219.13%1142181.58%0689127953.87%628118253.13%31257654.17%849591768246445226
Total Saison régulière25769681122010511814112282538822-569128751353506556595942514354-103128945558704062826340024468-4662668825313902221554884376228629812398853953266271272958724759884082789322552652336809164824.20%6852175874.34%107329256683149.27%327076819347.96%195513973549.20%537103027860678264674705123236
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