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LHSRSM

Connexion

Monsters
GP: 55 | W: 41 | L: 12 | OTL: 2 | P: 84
GF: 205 | GA: 121 | PP%: 20.33% | PK%: 85.44%
DG: Martin Pomminville | Morale : 50 | Moyenne d’équipe : 66
Prochains matchs #900 vs Americans
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Centre de jeu
Monsters
41-12-2, 84pts
1
FINAL
5 Reign
34-15-5, 73pts
Team Stats
L2SéquenceW2
21-5-1Fiche domicile15-6-4
20-7-1Fiche domicile19-9-1
6-4-0Derniers 10 matchs7-2-1
3.73Buts par match 3.57
2.20Buts contre par match 2.24
20.33%Pourcentage en avantage numérique15.14%
85.44%Pourcentage en désavantage numérique87.68%
Monsters
41-12-2, 84pts
0
FINAL
3 Gulls
38-12-6, 82pts
Team Stats
L2SéquenceW3
21-5-1Fiche domicile25-3-0
20-7-1Fiche domicile13-9-6
6-4-0Derniers 10 matchs6-4-0
3.73Buts par match 3.13
2.20Buts contre par match 2.11
20.33%Pourcentage en avantage numérique16.85%
85.44%Pourcentage en désavantage numérique84.58%
Americans
21-31-4, 46pts
2024-02-23
Monsters
41-12-2, 84pts
Statistiques d’équipe
W1SéquenceL2
9-18-2Fiche domicile21-5-1
12-13-2Fiche visiteur20-7-1
2-7-110 derniers matchs6-4-0
2.88Buts par match 3.73
3.54Buts contre par match 3.73
14.66%Pourcentage en avantage numérique20.33%
81.34%Pourcentage en désavantage numérique85.44%
Wolf Pack
36-13-7, 79pts
2024-02-25
Monsters
41-12-2, 84pts
Statistiques d’équipe
W1SéquenceL2
19-4-4Fiche domicile21-5-1
17-9-3Fiche visiteur20-7-1
5-2-310 derniers matchs6-4-0
3.68Buts par match 3.73
2.36Buts contre par match 3.73
18.51%Pourcentage en avantage numérique20.33%
85.96%Pourcentage en désavantage numérique85.44%
Monsters
41-12-2, 84pts
2024-02-28
Wolf Pack
36-13-7, 79pts
Statistiques d’équipe
L2SéquenceW1
21-5-1Fiche domicile19-4-4
20-7-1Fiche visiteur17-9-3
6-4-010 derniers matchs5-2-3
3.73Buts par match 3.68
2.20Buts contre par match 3.68
20.33%Pourcentage en avantage numérique18.51%
85.44%Pourcentage en désavantage numérique85.96%
Meneurs d'équipe
Otto KoivulaButs
Otto Koivula
25
Tanner KeroPasses
Tanner Kero
38
Tanner KeroPoints
Tanner Kero
52
Mitchell ChaffeePlus/Moins
Mitchell Chaffee
34
Dylan FergusonVictoires
Dylan Ferguson
40
Dylan FergusonPourcentage d’arrêts
Dylan Ferguson
0.884

Statistiques d’équipe
Buts pour
205
3.73 GFG
Tirs pour
1367
24.85 Avg
Pourcentage en avantage numérique
20.3%
62 GF
Début de zone offensive
40.7%
Buts contre
121
2.20 GAA
Tirs contre
1022
18.58 Avg
Pourcentage en désavantage numérique
85.4%%
53 GA
Début de la zone défensive
37.7%
Informations de l'équipe

Directeur généralMartin Pomminville
DivisionNord
ConférenceEst
Capitaine
Assistant #1Tanner Kero
Assistant #2Matt Luff


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 250
Espoirs72


Historique d'équipe

Saison actuelle41-12-2 (84PTS)
Historique465-193-55 (0.652%)
Apparitions en séries éliminatoires 8
Historique en séries éliminatoires (W-L)15-28
Coupe Stanley1


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
1Jake Neighbours (R)X100.00807583727363706536596665254949050710203863,333$
2Tanner Kero (A)XX100.00736883706874776580626167585858050710301750,000$
3Mark Kastelic (R)X100.00899958728653936290566074255151050710231821,667$
4Otto KoivulaXXX100.00808177718173766176556267594646050700242800,000$
5Benoit-Olivier GroulxX100.00757381677374786278586164584545050690221910,833$
6Tye Kartye (R)X100.00737276667280846450606564624444050690213925,000$
7Matt Luff (A)X100.00774499687355675525606066255757050690251750,000$
8Alex Turcotte (R)X100.007471827471575661765958645545450506802122,444,167$
9Adam BrooksX100.00686282696260606176615761544849050670262762,500$
10Mitchell Chaffee (R)X100.00757477697454536250497064674444050670241750,000$
11Isaac Ratcliffe (R)X100.00788660678670745450564864464444050650231813,750$
12Kale ClagueX100.00694279767067625925504764255555050700241750,000$
13Jeremie Poirier (R)X100.00747279677280865625524662444444050680203833,333$
14Louis Crevier (R)X100.00868492638472794425343965374444050650212925,000$
15John Ludvig (R)X100.00717464657450515025444159394444050630221925,000$
16Xavier Bernard (R)X100.00787780697754574325304061384444050620221500,000$
17Zach Uens (R)X100.00706874646851534725374158394444050610213925,000$
Rayé
1Adam Beckman (R)X100.00716389686378836250526862654545050690212894,167$
2Brayden Tracey (R)X100.00736982706971755850555662534444050670212863,333$
3Cole Schwindt (R)XX100.00746987616982895873535863554444050670212910,833$
4Jayce Hawryluk (R)XX100.00686965656955555850535663535656050650261750,000$
5Josh Doan (R)XXX100.00776899646851505771535664534444050650201500,000$
6Ty RonningX100.00706191636150495750476260594444050640241500,000$
7Samuel Houde (R)X100.00696482656470745468465759544444050640221500,000$
8Michael Milne (R)X100.00756792656770764950454861464444050630203950,000$
9Keean Washkurak (R)X100.00676278636267715366435958564444050630212875,000$
10Adam Raska (R)XX100.00576343676367724950464652444444050590212900,000$
MOYENNE D’ÉQUIPE100.0074707967716569575251556348474705066
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
1Remi Poirier (R)100.0058616479615956635958304444050600213836,667$
2Dylan Ferguson (R)100.0055535473605654605857304444050580241750,000$
Rayé
MOYENNE D’ÉQUIPE100.005757597661585562595830444405059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Tanner KeroMonsters (CLB)C/LW5514385224802175134307710.45%18111320.243172040231101133292264.32%21300010.9304000424
2Benoit-Olivier GroulxMonsters (CLB)C55203151123357791109267918.35%689416.269142330221000011061.27%93200021.1400000342
3Mark KastelicMonsters (CLB)C551931502612125148125131348414.50%6113320.60712192920510152305066.13%119000000.8814311336
4Otto KoivulaMonsters (CLB)C/LW/RW55252045233354268112257722.32%583815.2481220422300005852258.82%10200011.0700001235
5Alex TurcotteMonsters (CLB)C5510304033300399584216911.90%1074313.510001120111494056.66%62300001.0800000121
6Matt LuffMonsters (CLB)RW5520204092605465103254919.42%589316.24971631236000004234.69%4900010.9000000433
7Mitchell ChaffeeMonsters (CLB)RW552119403466104651112397018.75%671813.0700003000005135.71%4200011.1100001652
8Kale ClagueMonsters (CLB)D55728352762065565893712.07%36123022.375914452270111266010%000000.5700000023
9Tye KartyeMonsters (CLB)LW5513132618260325193346413.98%764011.640116720000546157.53%7300000.8100000403
10Jeremie PoirierMonsters (CLB)D554222631760124254310289.30%37124922.7131215312340001267200%000000.4200000122
11Jake NeighboursMonsters (CLB)LW23612184240334755193010.91%547120.4834718970112840038.89%12600000.7611000100
12Louis CrevierMonsters (CLB)D55216182973599192815177.14%4999218.04134111110001165000%000000.3600100010
13Isaac RatcliffeMonsters (CLB)LW385101512340492633131515.15%63699.7200000000010033.33%1500000.8100000102
14John LudvigMonsters (CLB)D5511112277207520138177.69%3995217.321348920000163000%000000.2500000011
15Adam BrooksMonsters (CLB)C55110117100362358152.86%14528.240001700011660053.60%44400000.4900000010
16Xavier BernardMonsters (CLB)D253258415314130723.08%1738915.57101216000027000%000000.2600000002
17Zach UensMonsters (CLB)D2502292203083240%1440016.0200006000057000%000000.1000000000
Statistiques d’équipe totales ou en moyenne82617131548633375755968888115931873914.75%2671348116.325094144295200823530195231959.70%380900060.7229413302936
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
1Dylan FergusonMonsters (CLB)54401120.8842.143148081129680100.70010541110
2Remi PoirierMonsters (CLB)51100.8702.461710075400000150000
Statistiques d’équipe totales ou en moyenne59411220.8842.153320081191022010105551110


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam BeckmanMonsters (CLB)LW212001-05-10Yes168 Lbs6 ft1NoNoNoNo2Pro & Farm894,167$0$0$No894,167$--------No--------Lien / Lien NHL
Adam BrooksMonsters (CLB)C261996-05-06No174 Lbs5 ft10NoNoNoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Adam RaskaMonsters (CLB)LW/RW212001-09-25Yes178 Lbs5 ft10NoNoNoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Alex TurcotteMonsters (CLB)C212001-02-25Yes185 Lbs5 ft11NoNoNoNo2Pro & Farm2,444,167$0$0$No2,444,167$--------No--------Lien / Lien NHL
Benoit-Olivier GroulxMonsters (CLB)C222000-02-05No198 Lbs6 ft2NoNoNoNo1Pro & Farm910,833$0$0$No------------------Lien / Lien NHL
Brayden TraceyMonsters (CLB)LW212001-05-28Yes186 Lbs6 ft1NoNoNoNo2Pro & Farm863,333$0$0$No863,333$--------No--------Lien / Lien NHL
Cole SchwindtMonsters (CLB)C/RW212001-04-25Yes182 Lbs6 ft2NoNoNoNo2Pro & Farm910,833$0$0$No910,833$--------No--------Lien / Lien NHL
Dylan FergusonMonsters (CLB)G241998-09-19Yes192 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Isaac RatcliffeMonsters (CLB)LW231999-02-15Yes225 Lbs6 ft6NoNoNoNo1Pro & Farm813,750$0$0$No------------------Lien / Lien NHL
Jake NeighboursMonsters (CLB)LW202002-03-29Yes195 Lbs6 ft0NoNoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------
Jayce HawrylukMonsters (CLB)LW/RW261996-01-01Yes196 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien
Jeremie PoirierMonsters (CLB)D202002-02-06Yes196 Lbs6 ft1NoNoNoNo3Pro & Farm833,333$0$0$No833,333$833,333$-------NoNo-------
John LudvigMonsters (CLB)D222000-02-08Yes201 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$0$0$No------------------
Josh DoanMonsters (CLB)C/LW/RW202002-02-01Yes183 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$0$0$No------------------
Kale ClagueMonsters (CLB)D241998-06-05No192 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Keean WashkurakMonsters (CLB)C212001-08-16Yes170 Lbs5 ft10NoNoNoNo2Pro & Farm875,000$0$0$No875,000$--------No--------Lien / Lien NHL
Louis CrevierMonsters (CLB)D212001-04-05Yes214 Lbs6 ft8NoNoNoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Mark KastelicMonsters (CLB)C231999-03-10Yes223 Lbs6 ft4NoNoNoNo1Pro & Farm821,667$0$0$No------------------Lien / Lien NHL
Matt LuffMonsters (CLB)RW251997-05-05No196 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Michael MilneMonsters (CLB)LW202002-09-21Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------
Mitchell ChaffeeMonsters (CLB)RW241998-01-26Yes207 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Otto KoivulaMonsters (CLB)C/LW/RW241998-09-01No219 Lbs6 ft4NoNoNoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Remi PoirierMonsters (CLB)G212001-06-10Yes205 Lbs6 ft2NoNoNoNo3Pro & Farm836,667$0$0$No836,667$836,667$-------NoNo-------
Samuel HoudeMonsters (CLB)C222000-03-06Yes172 Lbs6 ft0NoNoNoNo1Pro & Farm500,000$0$0$No------------------Lien / Lien NHL
Tanner KeroMonsters (CLB)C/LW301992-07-24No185 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Ty RonningMonsters (CLB)RW241997-10-20No172 Lbs5 ft9NoNoNoNo1Pro & Farm500,000$0$0$No------------------Lien / Lien NHL
Tye KartyeMonsters (CLB)LW212001-04-30Yes202 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------Lien
Xavier BernardMonsters (CLB)D222000-01-06Yes205 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$0$0$No------------------Lien / Lien NHL
Zach UensMonsters (CLB)D212001-05-13Yes180 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2922.45193 Lbs6 ft11.72851,020$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake NeighboursMark KastelicOtto Koivula30014
2Tye KartyeTanner KeroMatt Luff30023
3Isaac RatcliffeBenoit-Olivier GroulxMitchell Chaffee20122
4Jake NeighboursAlex TurcotteMark Kastelic20032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueJeremie Poirier30122
2Louis CrevierJohn Ludvig30122
3Xavier BernardZach Uens20122
4Kale ClagueJeremie Poirier20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake NeighboursMark KastelicOtto Koivula60014
2Tye KartyeTanner KeroMatt Luff40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueJeremie Poirier60023
2Louis CrevierJohn Ludvig40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake NeighboursMark Kastelic60122
2Tanner KeroOtto Koivula40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueJeremie Poirier60122
2Louis CrevierJohn Ludvig40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake Neighbours60122Kale ClagueJeremie Poirier60122
2Mark Kastelic40122Louis CrevierJohn Ludvig40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jake NeighboursMark Kastelic60122
2Tanner KeroOtto Koivula40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueJeremie Poirier60122
2Louis CrevierJohn Ludvig40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake NeighboursMark KastelicOtto KoivulaKale ClagueJeremie Poirier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake NeighboursMark KastelicOtto KoivulaKale ClagueJeremie Poirier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Brooks, Benoit-Olivier Groulx, Alex TurcotteAdam Brooks, Benoit-Olivier GroulxAlex Turcotte
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Bernard, Zach Uens, Louis CrevierXavier BernardZach Uens, Louis Crevier
Tirs de pénalité
Jake Neighbours, Mark Kastelic, Tanner Kero, Otto Koivula, Matt Luff
Gardien
#1 : Dylan Ferguson, #2 : Remi Poirier


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
1Americans22000000954000000000002200000095441.0009162500835861345420501443135116343410110.00%15286.67%0955158360.33%853146858.11%49284358.36%14109811234401677353
2Barracuda11000000523000000000001100000052321.000591400835861328420501443131551214700.00%6266.67%0955158360.33%853146858.11%49284358.36%14109811234401677353
3Bears320000101156110000003032100001085361.00011172801835861372420501443134616365417423.53%17288.24%0955158360.33%853146858.11%49284358.36%14109811234401677353
4Bruins330000001055220000007341100000032161.00010192900835861370420501443135421465813538.46%20385.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
5Canucks22000000862110000005411100000032141.000813210083586136642050144313351222469333.33%10280.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
6Checkers2110000079-2110000005321010000026-420.500714210083586133342050144313459284712433.33%13469.23%0955158360.33%853146858.11%49284358.36%14109811234401677353
7Comets4300000117982200000010552100000174370.87517304701835861373420501443136818987818422.22%39489.74%0955158360.33%853146858.11%49284358.36%14109811234401677353
8Condors11000000303000000000001100000030321.00035801835861319420501443131128187114.29%40100.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
9Crunch22000000707220000007070000000000041.000711180283586135042050144313281432378225.00%110100.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
10Firebirds2020000049-51010000023-11010000026-400.00047110083586136442050144313491456444125.00%20480.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
11Griffins21000010945100000103211100000062441.000915240083586134942050144313431328561119.09%14192.86%0955158360.33%853146858.11%49284358.36%14109811234401677353
12Gulls2110000035-2110000003211010000003-320.500358008358613424205014431331154035900.00%11281.82%0955158360.33%853146858.11%49284358.36%14109811234401677353
13IceHogs11000000413110000004130000000000021.00047110083586133442050144313214617600.00%30100.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
14Islanders220000001257110000008441100000041341.00012203200835861355420501443133217335718633.33%13376.92%0955158360.33%853146858.11%49284358.36%14109811234401677353
15Marlies330000001651122000000111101100000054161.00016324801835861373420501443136120355015533.33%13284.62%0955158360.33%853146858.11%49284358.36%14109811234401677353
16Moose11000000743000000000001100000074321.0007142100835861333420501443131738247114.29%4250.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
17Penguins1000000123-11000000123-10000000000010.5002350083586132842050144313297221711100.00%11281.82%0955158360.33%853146858.11%49284358.36%14109811234401677353
18Phantoms3210000012661010000013-222000000113840.6671223350083586138342050144313476365216637.50%18288.89%0955158360.33%853146858.11%49284358.36%14109811234401677353
19Reign2110000047-3110000003211010000015-420.500471100835861333420501443134822324210110.00%16381.25%1955158360.33%853146858.11%49284358.36%14109811234401677353
20Roadrunners11000000413110000004130000000000021.00047110083586133142050144313806146233.33%30100.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
21Rocket22000000743110000003211100000042241.0007132000835861349420501443133612303213323.08%12466.67%0955158360.33%853146858.11%49284358.36%14109811234401677353
22Senators2110000045-11010000013-21100000032120.500471100835861345420501443135522404011218.18%20480.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
23Stars2020000057-21010000034-11010000023-100.000591400835861338420501443133913393718211.11%16287.50%0955158360.33%853146858.11%49284358.36%14109811234401677353
24Thunderbirds2020000036-31010000023-11010000013-200.000369008358613554205014431339112238900.00%11190.91%0955158360.33%853146858.11%49284358.36%14109811234401677353
25Wild21100000523110000004041010000012-120.500591401835861346420501443133915443612325.00%21290.48%0955158360.33%853146858.11%49284358.36%14109811234401677353
26Wolf Pack210010001037110000007161000100032141.0001020300083586135242050144313251114362129.52%70100.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
27Wolves11000000312000000000001100000031221.00034700835861319420501443131451019800.00%50100.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
28Wranglers220000001421211000000100101100000042241.000142640018358613824205014431336622469222.22%110100.00%1955158360.33%853146858.11%49284358.36%14109811234401677353
Total5538120102220512184272050001110850582818701011977126840.764205368573088358613136742050144313102232983910783056220.33%3645385.44%2955158360.33%853146858.11%49284358.36%14109811234401677353
_Since Last GM Reset5538120102220512184272050001110850582818701011977126840.764205368573088358613136742050144313102232983910783056220.33%3645385.44%2955158360.33%853146858.11%49284358.36%14109811234401677353
_Vs Conference3324501012127705717133000016731361611201011603921540.818127231358058358613783420501443136162005066301824524.73%2203385.00%0955158360.33%853146858.11%49284358.36%14109811234401677353
_Vs Division18131000016937321071000003714238600000132239270.7506912719603835861341442050144313373127273354932324.73%1182083.05%0955158360.33%853146858.11%49284358.36%14109811234401677353

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5584L220536857313671022329839107808
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5538121022205121
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27205001110850
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2818710119771
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3056220.33%3645385.44%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
420501443138358613
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
955158360.33%853146858.11%49284358.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14109811234401677353


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2023-10-1211Phantoms3Monsters1BLSommaire du match
5 - 2023-10-1422Wolf Pack1Monsters7BWSommaire du match
7 - 2023-10-1635Griffins2Monsters3BWXXSommaire du match
11 - 2023-10-2063Wranglers0Monsters10BWSommaire du match
12 - 2023-10-2173Monsters1Wild2ALSommaire du match
15 - 2023-10-2484Gulls2Monsters3BWSommaire du match
17 - 2023-10-26103Monsters4Rocket2AWSommaire du match
19 - 2023-10-28121Islanders4Monsters8BWSommaire du match
21 - 2023-10-30136Monsters2Stars3ALSommaire du match
24 - 2023-11-02146Crunch0Monsters5BWSommaire du match
26 - 2023-11-04166Monsters4Bears3AWXXSommaire du match
28 - 2023-11-06176Monsters2Checkers6ALSommaire du match
31 - 2023-11-09194Stars4Monsters3BLSommaire du match
33 - 2023-11-11210Monsters6Griffins2AWSommaire du match
34 - 2023-11-12225Monsters3Wolf Pack2AWXSommaire du match
36 - 2023-11-14230Penguins3Monsters2BLXXSommaire du match
38 - 2023-11-16243Roadrunners1Monsters4BWSommaire du match
40 - 2023-11-18263Monsters4Bears2AWSommaire du match
41 - 2023-11-19268Monsters4Phantoms1AWSommaire du match
44 - 2023-11-22280IceHogs1Monsters4BWSommaire du match
46 - 2023-11-24297Monsters3Comets4ALXXSommaire du match
48 - 2023-11-26318Monsters3Wolves1AWSommaire du match
49 - 2023-11-27321Bruins1Monsters4BWSommaire du match
51 - 2023-11-29337Rocket2Monsters3BWSommaire du match
53 - 2023-12-01354Senators3Monsters1BLSommaire du match
55 - 2023-12-03371Monsters3Bruins2AWSommaire du match
57 - 2023-12-05381Reign2Monsters3BWSommaire du match
59 - 2023-12-07397Monsters4Islanders1AWSommaire du match
60 - 2023-12-08405Thunderbirds3Monsters2BLSommaire du match
62 - 2023-12-10420Checkers3Monsters5BWSommaire du match
66 - 2023-12-14449Monsters5Marlies4AWSommaire du match
68 - 2023-12-16464Comets4Monsters5BWSommaire du match
71 - 2023-12-19485Monsters5Americans4AWSommaire du match
73 - 2023-12-21499Bears0Monsters3BWSommaire du match
75 - 2023-12-23518Marlies1Monsters7BWSommaire du match
79 - 2023-12-27528Monsters4Comets0AWSommaire du match
81 - 2023-12-29546Marlies0Monsters4BWSommaire du match
82 - 2023-12-30556Monsters4Americans1AWSommaire du match
85 - 2024-01-02574Bruins2Monsters3BWSommaire du match
87 - 2024-01-04592Monsters7Phantoms2AWSommaire du match
89 - 2024-01-06610Wild0Monsters4BWSommaire du match
92 - 2024-01-09631Monsters7Moose4AWSommaire du match
96 - 2024-01-13659Firebirds3Monsters2BLSommaire du match
98 - 2024-01-15673Canucks4Monsters5BWSommaire du match
102 - 2024-01-19703Comets1Monsters5BWSommaire du match
106 - 2024-01-23736Monsters3Condors0AWSommaire du match
108 - 2024-01-25753Monsters4Wranglers2AWSommaire du match
110 - 2024-01-27771Monsters3Canucks2AWSommaire du match
111 - 2024-01-28774Monsters2Firebirds6ALSommaire du match
113 - 2024-01-30776Monsters1Thunderbirds3ALSommaire du match
124 - 2024-02-10812Crunch0Monsters2BWSommaire du match
127 - 2024-02-13826Monsters3Senators2AWSommaire du match
131 - 2024-02-17861Monsters5Barracuda2AWSommaire du match
134 - 2024-02-20883Monsters1Reign5ALSommaire du match
135 - 2024-02-21886Monsters0Gulls3ALSommaire du match
137 - 2024-02-23900Americans-Monsters-
139 - 2024-02-25921Wolf Pack-Monsters-
142 - 2024-02-28939Monsters-Wolf Pack-
143 - 2024-02-29942Wolves-Monsters-
145 - 2024-03-02965Monsters-IceHogs-
147 - 2024-03-04975Silver Knights-Monsters-
148 - 2024-03-05983Monsters-Penguins-
150 - 2024-03-07995Condors-Monsters-
152 - 2024-03-091010Admirals-Monsters-
155 - 2024-03-121033Monsters-Rocket-
157 - 2024-03-141047Senators-Monsters-
159 - 2024-03-161066Barracuda-Monsters-
160 - 2024-03-171076Moose-Monsters-
162 - 2024-03-191083Monsters-Griffins-
165 - 2024-03-221111Monsters-Eagles-
166 - 2024-03-231123Monsters-Silver Knights-
169 - 2024-03-261145Monsters-Roadrunners-
171 - 2024-03-281154Monsters-Penguins-
173 - 2024-03-301172Penguins-Monsters-
175 - 2024-04-011181Eagles-Monsters-
178 - 2024-04-041203Islanders-Monsters-
180 - 2024-04-061222Phantoms-Monsters-
181 - 2024-04-071230Monsters-Wolves-
183 - 2024-04-091245Monsters-Crunch-
185 - 2024-04-111256Monsters-Checkers-
187 - 2024-04-131278Monsters-Admirals-
190 - 2024-04-161296Wolves-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-18 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,813,851$ 2,467,958$ 2,467,958$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,813,851$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 57 12,854$ 732,678$




Monsters Leaders statistiques des joueurs (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
1Tanner Kero279961692651163623176694910.12%67555419.91103444922242713357.22%20.9519
2Otto Koivula30611814526312615761149195912.30%63557518.221931501150001615755.05%40.94519
3Nikita Scherbak32911314826113810540052212019.41%49570717.35121123101101618557.66%50.91411
4Tye McGinn47610016126114622278952513427.45%66780316.391723401241121512455.26%00.6739
5Cody Goloubef46662190252962556334536449.63%520813617.46292453216134813240.00%00.6212

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
1Antoine Bibeau23916454160.9152.5813984351960270480400.71387
2Dylan Ferguson15610036110.9092.518851181437040520130.68635
3Mikhail Berdin135784180.9062.84774712336639100410.81771
4Kevin Poulin80522060.9112.4246406418721000400.82245
5Eric Comrie67511150.9211.9839374713016400100.76647

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
2824526022522892345541251200022153119344120140223013611521108289511800141059978929981028994953412275685113916284058120.00%4448979.95%51671302955.17%1414274651.49%692128353.94%2082144018386171046534
382461705176278192864122904042143994441248011341359342123278488766051048577202852931890990982285661104016383577019.61%4316185.85%71699299956.65%1394266152.39%663125952.66%2131148118066031064547
482392804047246239741279010221341003441121903025112139-27101246443689328985641225968518688507524537571318190959511419.16%5339681.99%41543303650.82%1304275747.30%612128347.70%2109145918506251024523
582541302265298169129412790001414784634127402251151856613129851881609113104731530309541007103387212065259720252334218.03%2584482.95%21855289364.12%1467240561.00%825129263.85%2273165516805481030548
6824816063543732371364120803334186125614128803020187112751253736651038191411259614386211641295135885264675565521342175525.35%2855281.75%42111346660.91%1597279157.22%829140958.84%2288167316855401010534
782551800243329214115412690013217211557412990011115799581233295819100713596949343811371182110349241173752720872225424.32%2335476.82%41971325160.63%1497255558.59%801138757.75%2305168116145361035560
88246240204638323714641229020262051198641241500020178118601103837131096061691099914366312061201123162255673045220611724526.16%2004279.00%11892312460.56%1378249255.30%848143858.97%240418061574498997547
982284002273268289-2141131802152126133-741152200121142156-147926848074821927790162999986955102871262270047319791924020.83%2094976.56%41739311055.92%1399264352.93%744136554.51%2205157617125591059556
10824824005143162457141307001121741165841181700402142129131073165758912413687923315610281045106339278283148119741844222.83%2194977.63%41701311854.55%1508292251.61%768136156.43%2066147018635611023523
118252180017437920517441306000232069910741221200151173106671233796941073041751197812320010801046104766238669543118861493221.48%1994179.40%31609268359.97%1463257456.84%860140261.34%2308170016435281024550
12553812010222051218427205000111085058281870101197712684205368573088358613136742050144313102232983910783056220.33%3645385.44%2955158360.33%853146858.11%49284358.36%14109811234401677353
Total Saison régulière71140819301715403827971956841355215800862026145894151735619311309920121339101532498327975037783485011338607479827311882691009156547209986186577317133226948621.42%250048080.80%28153762626458.54%124662260755.14%67791178057.55%193721400514859479888844696
Séries éliminatoires
223167000008450341284000004225171183000004225173284149233013225261838268279275165881943644111292620.16%1241786.29%253888760.65%44874460.22%20635757.70%601414495175301156
31046000002537-12514000001022-1253200000151508254772001158131712291995399106140239521019.23%54885.19%111733035.45%13343030.93%4614232.39%2211512657312158
440400000713-62020000058-32020000025-3071320001330117543231013254951072229.09%40977.50%07514751.02%6715842.41%346353.97%9059100314823
58440000020200422000009904220000011110820375700411412808999848259636321436616.67%28775.00%014531645.89%12226046.92%6714047.86%2011371916210653
612570000035341624000001315-26330000022193103565100001411100426145153127144511310030343511.63%45686.67%022944251.81%24947951.98%11019057.89%2751912988915073
7514000001120-931200000912-32020000028-6211193000326015835674610207504415717529.41%20670.00%08818348.09%9621544.65%378245.12%12788126386834
10945000002934-55320000019172413000001017-782954830010108131211395968336916021411327.27%29679.31%016632750.76%17532553.85%8314955.70%2191552196211256
1151400000515-103030000039-62110000026-42591410131014458454101514924123800.00%11281.82%08416750.30%7915750.32%346949.28%12185113356432
Total Séries éliminatoires43152800000107136-2923815000005870-1220713000004966-1730107197304103340322143749449142527153042038611181372115.33%1733679.19%0787158249.75%788159449.44%36569352.67%10357171049320551274

Monsters Leaders statistiques des joueurs (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
1Brian Flynn2317122916993511514.78%445419.7673103710141147.17%11.2800
2Drayson Bowman379182743662521167.76%1474820.23110113710131042.11%00.7200
3Keith Aucoin23111526101621687115.49%450021.754482400041165.75%01.0400
4Jonathan Audy-Marchessault3310162622833469110.99%951915.7438112100022155.93%01.0000
5Drew Shore4391726-129471171296.98%1380618.7504426101122056.15%00.6500

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
1Josh Harding2316520.9152.151367214957903000
2Antoine Bibeau176920.9163.151028005464501000
3Eric Comrie84310.9232.41498002025900000
4Dylan Ferguson94410.9043.60483202930300000
5Kevin Poulin104600.9033.79539003435201000