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Monsters
GP: 51 | W: 39 | L: 11 | OTL: 1 | P: 79
GF: 254 | GA: 130 | PP%: 23.08% | PK%: 78.18%
DG: Martin Pomminville | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #804 vs Bears
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Centre de jeu
Monsters
39-11-1, 79pts
9
FINAL
1 Canucks
12-36-1, 25pts
Team Stats
SOW1StreakL1
23-4-1Home Record6-18-0
16-7-0Away Record6-18-1
6-3-1Last 10 Games3-6-1
4.98Goals Per Game3.88
2.55Goals Against Per Game7.04
23.08%Power Play Percentage17.95%
78.18%Penalty Kill Percentage61.90%
Monsters
39-11-1, 79pts
5
FINAL
4 Firebirds
6-40-3, 15pts
Team Stats
SOW1StreakSOL1
23-4-1Home Record3-22-1
16-7-0Away Record3-18-2
6-3-1Last 10 Games2-6-2
4.98Goals Per Game3.73
2.55Goals Against Per Game7.41
23.08%Power Play Percentage22.67%
78.18%Penalty Kill Percentage75.00%
Bears
29-22-1, 59pts
2023-01-31
Monsters
39-11-1, 79pts
Statistiques d’équipe
L2SéquenceSOW1
16-9-0Fiche domicile23-4-1
13-13-1Fiche visiteur16-7-0
2-8-010 derniers matchs6-3-1
4.94Buts par match 4.98
3.94Buts contre par match 2.55
24.71%Pourcentage en avantage numérique23.08%
74.58%Pourcentage en désavantage numérique78.18%
Marlies
34-14-3, 71pts
2023-02-10
Monsters
39-11-1, 79pts
Statistiques d’équipe
W2SéquenceSOW1
20-7-1Fiche domicile23-4-1
14-7-2Fiche visiteur16-7-0
8-0-210 derniers matchs6-3-1
4.55Buts par match 4.98
2.75Buts contre par match 2.55
22.86%Pourcentage en avantage numérique23.08%
72.90%Pourcentage en désavantage numérique78.18%
Monsters
39-11-1, 79pts
2023-02-11
Marlies
34-14-3, 71pts
Statistiques d’équipe
SOW1SéquenceW2
23-4-1Fiche domicile20-7-1
16-7-0Fiche visiteur14-7-2
6-3-110 derniers matchs8-0-2
4.98Buts par match 4.55
2.55Buts contre par match 2.75
23.08%Pourcentage en avantage numérique22.86%
78.18%Pourcentage en désavantage numérique72.90%
Meneurs d'équipe
Jack JohnsonButs
Jack Johnson
10
Jack JohnsonPasses
Jack Johnson
25
Jack JohnsonPoints
Jack Johnson
35
Otto KoivulaPlus/Moins
Otto Koivula
11
Mikhail BerdinVictoires
Mikhail Berdin
29
Dylan FergusonPourcentage d’arrêts
Dylan Ferguson
0.967

Statistiques d’équipe
Buts pour
254
4.98 GFG
Tirs pour
2016
39.53 Avg
Pourcentage en avantage numérique
23.1%
21 GF
Début de zone offensive
39.8%
Buts contre
130
2.55 GAA
Tirs contre
1456
28.55 Avg
Pourcentage en désavantage numérique
78.2%
24 GA
Début de la zone défensive
38.4%
Informations de l'équipe

Directeur généralMartin Pomminville
DivisionNord
ConférenceEst
CapitaineKris Russell
Assistant #1
Assistant #2Cody Franson


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure20
Limite contact 56 / 250
Espoirs74


Historique d'équipe

Saison actuelle39-11-1 (79PTS)
Historique488-236-68 (0.616%)
Apparitions en séries éliminatoires 7
Historique en séries éliminatoires (W-L)16-32
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
1Benoit-Olivier GroulxXX100.00693981658079836480636168626469050640212910,833$
2Isaac RatcliffeX100.00803172619279846256646160656366050640221863,333$
3Jakob Pelletier (R)XX100.00623680696385846858676661686263050640203863,333$
4Adam BrooksX100.00593495687074736779546659686567050630251725,000$
5Adam Beckman (R)X100.00603883637790886662675860646163050630203894,167$
6Tanner KeroX100.00623693627177796370645863567072050630292750,000$
7Otto SomppiX100.00683987637975806370625861636466050630231750,000$
8Pavel DorofeyevX100.00593781667285836456616362666264050630202925,000$
9Cole SchwindtX100.00673885587782805676585961566163050610203910,833$
10Adam Raska (R)X100.00764062616674786057595862576163050610203900,000$
11Mitchell Chaffee (R)X100.008138875778867758645961535964660506102311,775,000$
12Ben HuttonX100.00644586658287856430705774537269050650283750,000$
13Kris Russell (C)X100.006732816366877958307456824886760506503411,250,000$
14Jon MerrillX100.00613782598488856130725677457369050650294850,000$
15Cody Franson (A)X100.00837086559478875630645763457577050640341650,000$
16Kale ClagueX100.00613681697285776730735960526466050640232761,250$
17Andreas BorgmanX100.00663978577580645830575958516769050600261750,000$
Rayé
1Mark KastelicX100.00813665588579865375605961566364050610222821,667$
2Jack KopackaX100.00673681568077795561545759566466050600231910,833$
3Kody ClarkX100.00663778588179825655575954626567050600211894,167$
4Maksim SushkoX100.00673893597673805852555754596365050600221879,167$
5Ty RonningX100.00633689586384885964585955626567050600231750,000$
6Brayden TraceyX100.00593783587074765753565559576163050590203863,333$
7Brett McKenzie (R)X100.00683989577865725653555458546567050590241650,000$
8Kale Howarth (R)X100.00714372559069635452535759566567050590241650,000$
9Carson FochtX100.00633771586973745763565554586264050580212883,333$
10Chad YetmanX100.00593691586869635651575453566264050580211650,000$
11Cole CoskeyX100.00633791577266635651555254576365050580221650,000$
12Keean Washkurak (R)X100.00583982576775805663555853546163050580203875,000$
13Samuel Houde (R)X100.00593791566967635564585354586264050580211650,000$
14Dmitry ZavgorodniyX100.00563692576466675651545352596264050570212780,000$
15Xavier Bernard (R)X100.00753991548463605230535055456264050580211650,000$
MOYENNE D’ÉQUIPE100.0066388360757777595560586057656605061
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
1Dylan Ferguson100.0073676875727173727173726471050630231733,333$
2Mikhail Berdin100.0073767773727173727173726471050630232750,000$
Rayé
1Trent Miner100.0069676674686769686769686165050610203828,333$
2Colten Ellis (R)100.0064666774636264636264636267050580213925,000$
MOYENNE D’ÉQUIPE100.007069707469687069687069636905061
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
1Benoit-Olivier GroulxMonsters (CLB)C/LW503438724760431422516715213.55%9114122.8207723741012754163.13%121500021.2624000446
2Ben HuttonMonsters (CLB)D5115516657260868593245516.13%72112222.0269153285000089600.00%000011.1800000323
3Jon MerrillMonsters (CLB)D5117486568160757791366218.68%74126424.8073102283022192230.00%000001.0300000444
4Tanner KeroMonsters (CLB)C512438623020511571694510914.20%895718.780336251016703059.55%112000011.2900000414
5Pavel DorofeyevMonsters (CLB)LW513032625110031792076313614.49%7106620.9103314710000233449.41%8500021.1600000443
6Jakob PelletierMonsters (CLB)C/LW523427612920421092527916013.49%10107320.6533621960112795255.13%7800021.1425000730
7Kris RussellMonsters (CLB)D51743502912092948928667.87%83113522.270442670000085100.00%000000.8800000032
8Adam BeckmanMonsters (CLB)LW51192847308047611685110211.31%085116.69011130001153140.74%5400011.1024000142
9Adam BrooksMonsters (CLB)C512223453810040821624011913.58%1197819.18101834000033061.74%41300020.9200000310
10Isaac RatcliffeMonsters (CLB)LW5117274463220178701535312111.11%6105420.6821315740003664051.11%9000010.8312000325
11Adam RaskaMonsters (CLB)RW511422364222013842118358211.86%596418.912241078000001355.88%6800000.7500000222
12Kale ClagueMonsters (CLB)D50531363212046535215359.62%4688217.65000723000025100.00%000000.8200000111
13Jack JohnsonBlue JacketsD26102535-21260906594305410.64%10063624.482242841000014000.00%000101.1000000011
14Otto SomppiMonsters (CLB)C421317303060428213936799.35%969916.6500000000070060.68%70200010.8600000301
15Andreas BorgmanMonsters (CLB)D46419233216062344420269.09%4375016.3100000000035000.00%000000.6100000001
16Cody FransonMonsters (CLB)D514141818420132255215437.69%4588517.37022544000246000.00%000000.4100000101
17Mitchell ChaffeeMonsters (CLB)RW2277141810057125192213.73%041118.69000429000001059.26%2700000.6800000020
18Robert BortuzzoBlue JacketsD5099104023109560.00%611923.840002300005000.00%000001.5100000000
19Otto KoivulaBlue JacketsC/LW94481140183134171211.76%221023.410113150000251156.95%22300000.7601000111
20Cole SchwindtMonsters (CLB)C51033100823420.00%0731.43022050000140065.52%2900000.8200000000
21Mark KastelicMonsters (CLB)C36000-100124100.00%1130.3800001000000058.33%1200000.00%00000000
22Ty RonningMonsters (CLB)RW1000-220010020.00%01717.800000000000000.00%000000.00%00000000
23Xavier BernardMonsters (CLB)D1000000200010.00%01515.700000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne9012805067866122580130413152235673144612.53%5371632818.1223436622786623517777381560.13%4116001130.96716000413537
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
1Mikhail BerdinMonsters (CLB)3929910.9082.6723594110511360100.92914390220
2Dylan FergusonMonsters (CLB)55000.9670.793052241220001.0003539210
3Trent MinerMonsters (CLB)75200.8992.8641900201980000.00%075001
4Louis DomingueBlue Jackets54100.8992.7530500141380001.000450010
Statistiques d’équipe totales ou en moyenne56431210.9102.5333886314315940100.952215644441


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 Plafond 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
Adam BeckmanMonsters (CLB)LW202001-05-10Yes182 Lbs6 ft2NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien NHL
Adam BrooksMonsters (CLB)C251996-05-06No179 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Adam RaskaMonsters (CLB)RW202001-09-25Yes178 Lbs5 ft10NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien NHL
Andreas BorgmanMonsters (CLB)D261995-06-18No205 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Ben HuttonMonsters (CLB)D281993-04-20No206 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No850,000$850,000$Lien / Lien NHL
Benoit-Olivier GroulxMonsters (CLB)C/LW212000-02-06No200 Lbs6 ft2NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Brayden TraceyMonsters (CLB)LW202001-05-28No177 Lbs6 ft0NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien / Lien NHL
Brett McKenzieMonsters (CLB)LW241997-03-12Yes190 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Carson FochtMonsters (CLB)C212000-02-04No180 Lbs6 ft0NoNoNo2Pro & Farm883,333$0$0$No883,333$Lien / Lien NHL
Chad YetmanMonsters (CLB)RW212000-02-18No179 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cody FransonMonsters (CLB)D341987-08-08No224 Lbs6 ft5NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cole CoskeyMonsters (CLB)RW221999-06-01No190 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cole SchwindtMonsters (CLB)C202001-04-25No182 Lbs6 ft2NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien / Lien NHL
Colten EllisMonsters (CLB)G212000-10-05Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Dmitry ZavgorodniyMonsters (CLB)RW212000-08-11No173 Lbs5 ft9NoNoNo2Pro & Farm780,000$0$0$No780,000$Lien / Lien NHL
Dylan FergusonMonsters (CLB)G231998-09-20No189 Lbs6 ft1NoNoNo1Pro & Farm733,333$0$0$NoLien / Lien NHL
Isaac RatcliffeMonsters (CLB)LW221999-02-15No200 Lbs6 ft6NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Jack KopackaMonsters (CLB)LW231998-03-05No197 Lbs6 ft2NoNoNo1Pro & Farm910,833$0$0$NoLien / Lien NHL
Jakob PelletierMonsters (CLB)C/LW202001-03-07Yes160 Lbs5 ft9NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien NHL
Jon MerrillMonsters (CLB)D291992-02-03No204 Lbs6 ft3NoNoNo4Pro & Farm850,000$0$0$No1,200,000$1,200,000$1,200,000$Lien / Lien NHL
Kale ClagueMonsters (CLB)D231998-06-05No190 Lbs6 ft0NoNoNo2Pro & Farm761,250$0$0$No750,000$Lien / Lien NHL
Kale HowarthMonsters (CLB)LW241997-06-10Yes201 Lbs6 ft5NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Keean WashkurakMonsters (CLB)C202001-08-16Yes184 Lbs5 ft10NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien NHL
Kody ClarkMonsters (CLB)RW211999-10-13No185 Lbs6 ft3NoNoNo1Pro & Farm894,167$0$0$NoLien / Lien NHL
Kris RussellMonsters (CLB)D341987-05-02No170 Lbs5 ft10NoNoNo1Pro & Farm1,250,000$0$0$NoLien / Lien NHL
Maksim SushkoMonsters (CLB)RW221999-02-10No206 Lbs6 ft0NoNoNo1Pro & Farm879,167$0$0$NoLien / Lien NHL
Mark KastelicMonsters (CLB)C221999-03-11No210 Lbs6 ft3NoNoNo2Pro & Farm821,667$0$0$No821,667$Lien / Lien NHL
Mikhail BerdinMonsters (CLB)G231998-03-01No163 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Mitchell ChaffeeMonsters (CLB)RW231998-01-26Yes201 Lbs6 ft1NoNoNo1Pro & Farm1,775,000$0$0$NoLien / Lien NHL
Otto SomppiMonsters (CLB)C231998-01-12No192 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Pavel DorofeyevMonsters (CLB)LW202000-10-26No167 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Samuel HoudeMonsters (CLB)C212000-03-08Yes175 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Tanner KeroMonsters (CLB)C291992-07-24No185 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Trent MinerMonsters (CLB)G202001-02-05No185 Lbs6 ft1NoNoNo3Pro & Farm828,333$0$0$No828,333$828,333$Lien / Lien NHL
Ty RonningMonsters (CLB)RW231997-10-20No167 Lbs5 ft9NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Xavier BernardMonsters (CLB)D212000-06-01Yes205 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3623.06188 Lbs6 ft11.81835,359$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierBenoit-Olivier GroulxAdam Raska31014
2Isaac RatcliffeOtto SomppiPavel Dorofeyev28023
3Adam BeckmanTanner KeroAdam Brooks23122
4Pavel DorofeyevBenoit-Olivier GroulxAdam Raska18122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon MerrillBen Hutton30221
2Kris RussellCody Franson30131
3Kale ClagueAndreas Borgman20023
4Kris RussellJon Merrill20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierBenoit-Olivier GroulxAdam Raska60122
2Isaac RatcliffeAdam BrooksPavel Dorofeyev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon MerrillBen Hutton60122
2Kris RussellCody Franson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner KeroJakob Pelletier60122
2Benoit-Olivier GroulxIsaac Ratcliffe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon MerrillBen Hutton60122
2Kris RussellCody Franson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tanner Kero60122Jon MerrillBen Hutton60122
2Jakob Pelletier40122Kris RussellCody Franson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Benoit-Olivier GroulxJakob Pelletier60122
2Adam BrooksIsaac Ratcliffe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon MerrillBen Hutton60122
2Kris RussellCody Franson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierBenoit-Olivier GroulxAdam RaskaJon MerrillBen Hutton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierBenoit-Olivier GroulxAdam RaskaJon MerrillBen Hutton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Schwindt, , Tanner KeroCole Schwindt, Tanner Kero
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cody Franson, Andreas Borgman, Jon MerrillKale ClagueAndreas Borgman, Kris Russell
Tirs de pénalité
Adam Beckman, Jakob Pelletier, Benoit-Olivier Groulx, Isaac Ratcliffe, Tanner Kero
Gardien
#1 : Mikhail Berdin, #2 : Dylan Ferguson


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
1Admirals2110000013581100000010191010000034-120.50013253800118805171006826786442855161255000.00%4175.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
2Americans2200000011652200000011650000000000041.00011203100118805177868267864428802312612150.00%6183.33%0991162161.14%917156558.59%54688661.63%145510791002321632341
3Barracuda1010000023-11010000023-10000000000000.00023500118805173068267864428216417400.00%220.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
4Bears220000001275110000006421100000063341.0001222340011880517896826786442873112455360.00%10100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
5Bruins21000010642110000002111000001043141.000681400118805175268267864428772218273133.33%9188.89%0991162161.14%917156558.59%54688661.63%145510791002321632341
6Canucks2200000017413110000008351100000091841.0001733500011880517103682678644284213856200.00%40100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
7Checkers2200000013310110000008171100000052341.0001326390011880517936826786442834176407228.57%3166.67%0991162161.14%917156558.59%54688661.63%145510791002321632341
8Comets11000000321000000000001100000032121.00035800118805173068267864428206221300.00%110.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
9Condors11000000725000000000001100000072521.00071421001188051762682678644283410024000.00%000.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
10Crunch3120000058-3110000003212020000026-420.333581300118805177768267864428733018746116.67%9455.56%0991162161.14%917156558.59%54688661.63%145510791002321632341
11Eagles220000001239110000006331100000060641.000122335011188051710068267864428517645100.00%20100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
12Firebirds10000010541000000000001000001054121.0005510001188051740682678644282841215100.00%6266.67%0991162161.14%917156558.59%54688661.63%145510791002321632341
13Griffins32100000541220000003121010000023-140.667591401118805178068267864428802220824125.00%10190.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
14Gulls1000000134-11000000134-10000000000010.50035800118805172268267864428371123111100.00%000.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
15IceHogs220000001248110000004131100000083541.0001223350011880517556826786442877271054200.00%40100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
16Islanders32100000131301100000053221100000810-240.6671325380011880517906826786442811336246813323.08%10370.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
17Moose11000000817000000000001100000081721.00081624001188051780682678644283066205240.00%30100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
18Penguins2020000047-31010000035-21010000012-100.000461000118805175068267864428642910498112.50%5180.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
19Phantoms3210000014104211000009721100000053240.667142741001188051710068267864428833610734125.00%5180.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
20Reign1010000023-11010000023-10000000000000.00024600118805172568267864428160222200.00%10100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
21Roadrunners10000010211100000102110000000000021.00022400118805173068267864428337101611100.00%50100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
22Rocket220000001771022000000177100000000000041.0001732490011880517130682678644283810448200.00%110.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
23Senators10000010211000000000001000001021121.000224001188051730682678644283010626100.00%30100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
24Silver Knights11000000532110000005320000000000021.0005101500118805173568267864428337423300.00%2150.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
25Stars11000000936110000009360000000000021.0009182700118805176368267864428309427000.00%2150.00%1991162161.14%917156558.59%54688661.63%145510791002321632341
26Thunderbirds1010000012-1000000000001010000012-100.000123001188051731682678644283111424100.00%110.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
27Wolf Pack21000010853100000106511100000020241.00081321011188051754682678644287116639200.00%30100.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
28Wolves3300000026620220000001531211000000113861.000264874001188051714668267864428611812555360.00%60100.00%1991162161.14%917156558.59%54688661.63%145510791002321632341
29Wranglers2200000017512110000008351100000092741.0001734510011880517141682678644284112444300.00%2150.00%0991162161.14%917156558.59%54688661.63%145510791002321632341
Total513411000512541301242821400021147737423137000301075750790.775254468722031188051720166826786442814564322381181912123.08%1102478.18%2991162161.14%917156558.59%54688661.63%145510791002321632341
_Since Last GM Reset513411000512541301242821400021147737423137000301075750790.775254468722031188051720166826786442814564322381181912123.08%1102478.18%2991162161.14%917156558.59%54688661.63%145510791002321632341
_Vs Conference26167000301097534131020001070412913650002039345380.731109196305011188051790468267864428787257122595571322.81%571573.68%0991162161.14%917156558.59%54688661.63%145510791002321632341
_Vs Division156200010593326950000004418266120001015150140.467591051640111880517540682678644284121348435825624.00%41978.05%0991162161.14%917156558.59%54688661.63%145510791002321632341

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5179SOW125446872220161456432238118103
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5134110051254130
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28214002114773
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
23137003010757
Derniers 10 matchs
WLOTWOTL SOWSOL
430021
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
912123.08%1102478.18%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
6826786442811880517
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
991162161.14%917156558.59%54688661.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
145510791002321632341


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
6 - 2022-10-126Monsters11Wolves3AWSommaire du match
8 - 2022-10-1421Crunch2Monsters3BWSommaire du match
9 - 2022-10-1533Monsters1Thunderbirds2ALSommaire du match
12 - 2022-10-1850Canucks3Monsters8BWSommaire du match
14 - 2022-10-2063Admirals1Monsters10BWSommaire du match
16 - 2022-10-2282Penguins5Monsters3BLSommaire du match
17 - 2022-10-2389Monsters2Wolf Pack0AWSommaire du match
19 - 2022-10-2598Roadrunners1Monsters2BWXXSommaire du match
22 - 2022-10-28122Bruins1Monsters2BWSommaire du match
24 - 2022-10-30139Monsters3Comets2AWSommaire du match
29 - 2022-11-04174Monsters6Eagles0AWSommaire du match
30 - 2022-11-05176Eagles3Monsters6BWSommaire du match
35 - 2022-11-10214Phantoms3Monsters2BLSommaire du match
37 - 2022-11-12231Monsters3Islanders7ALSommaire du match
40 - 2022-11-15250Phantoms4Monsters7BWSommaire du match
42 - 2022-11-17263Rocket1Monsters7BWSommaire du match
44 - 2022-11-19280Griffins1Monsters2BWSommaire du match
45 - 2022-11-20289Checkers1Monsters8BWSommaire du match
48 - 2022-11-23307Rocket6Monsters10BWSommaire du match
50 - 2022-11-25326Islanders3Monsters5BWSommaire du match
51 - 2022-11-26338Monsters3Admirals4ALSommaire du match
53 - 2022-11-28349Silver Knights3Monsters5BWSommaire du match
57 - 2022-12-02378Monsters8Moose1AWSommaire du match
59 - 2022-12-04394Griffins0Monsters1BWSommaire du match
61 - 2022-12-06404Monsters1Penguins2ALSommaire du match
62 - 2022-12-07412Americans4Monsters5BWSommaire du match
64 - 2022-12-09424Wranglers3Monsters8BWSommaire du match
66 - 2022-12-11443Reign3Monsters2BLSommaire du match
68 - 2022-12-13455Monsters5Checkers2AWSommaire du match
70 - 2022-12-15470Monsters1Crunch3ALSommaire du match
72 - 2022-12-17484Monsters4Bruins3AWXXSommaire du match
74 - 2022-12-19502Stars3Monsters9BWSommaire du match
75 - 2022-12-20510Monsters5Phantoms3AWSommaire du match
78 - 2022-12-23540Monsters8IceHogs3AWSommaire du match
82 - 2022-12-27547Americans2Monsters6BWSommaire du match
84 - 2022-12-29567Monsters5Islanders3AWSommaire du match
86 - 2022-12-31584IceHogs1Monsters4BWSommaire du match
89 - 2023-01-03601Monsters2Senators1AWXXSommaire du match
91 - 2023-01-05617Bears4Monsters6BWSommaire du match
93 - 2023-01-07629Wolves2Monsters7BWSommaire du match
94 - 2023-01-08639Monsters6Bears3AWSommaire du match
96 - 2023-01-10648Monsters1Crunch3ALSommaire du match
98 - 2023-01-12662Wolves1Monsters8BWSommaire du match
100 - 2023-01-14679Monsters2Griffins3ALSommaire du match
102 - 2023-01-16701Wolf Pack5Monsters6BWXXSommaire du match
105 - 2023-01-19717Gulls4Monsters3BLXXSommaire du match
107 - 2023-01-21736Barracuda3Monsters2BLSommaire du match
109 - 2023-01-23754Monsters9Wranglers2AWSommaire du match
111 - 2023-01-25768Monsters7Condors2AWSommaire du match
113 - 2023-01-27787Monsters9Canucks1AWSommaire du match
114 - 2023-01-28797Monsters5Firebirds4AWXXSommaire du match
117 - 2023-01-31804Bears-Monsters-
127 - 2023-02-10829Marlies-Monsters-
128 - 2023-02-11840Monsters-Marlies-
131 - 2023-02-14857Comets-Monsters-
133 - 2023-02-16872Moose-Monsters-
135 - 2023-02-18887Monsters-Stars-
136 - 2023-02-19901Monsters-Roadrunners-
140 - 2023-02-23924Wild-Monsters-
142 - 2023-02-25936Condors-Monsters-
143 - 2023-02-26948Monsters-Wild-
145 - 2023-02-28958Monsters-Americans-
148 - 2023-03-03984Firebirds-Monsters-
149 - 2023-03-04996Monsters-Senators-
152 - 2023-03-071013Monsters-Penguins-
156 - 2023-03-111045Thunderbirds-Monsters-
159 - 2023-03-141074Monsters-Barracuda-
161 - 2023-03-161089Monsters-Reign-
162 - 2023-03-171094Monsters-Gulls-
164 - 2023-03-191110Monsters-Silver Knights-
166 - 2023-03-211121Monsters-Bears-
169 - 2023-03-241147Islanders-Monsters-
170 - 2023-03-251159Monsters-Rocket-
173 - 2023-03-281176Monsters-Wolf Pack-
175 - 2023-03-301189Monsters-Bruins-
177 - 2023-04-011208Checkers-Monsters-
178 - 2023-04-021220Senators-Monsters-
180 - 2023-04-041230Monsters-Marlies-
182 - 2023-04-061243Monsters-Comets-
184 - 2023-04-081264Wolf Pack-Monsters-
187 - 2023-04-111287Monsters-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131303Penguins-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
-19 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,804,969$ 3,007,290$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,804,969$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 15,912$ 1,177,488$




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
282303805423269271-241181701212143136741122104211126135-981269467736350103936625400858842818265880357812703467621.97%2314680.09%31266257949.09%1195266044.92%656136048.24%1924131919736101064531
38240240116102582263241251100032138110284115130113812011641052584457032201087370299001023965956251371172113953516217.66%2595678.38%21643301354.53%1266252450.16%667126952.56%2153152217985841053548
482392804047246239741279010221341003441121903025112139-271012464436893208985642596085186885024537571318190959511419.16%5339681.99%41543303650.82%1304275747.30%612128347.70%2109145918506251024523
5825413022652981691294127900014147846341274022511518566131298518816090113104733030095410071033212065259720252334218.03%2584482.95%21855289364.12%1467240561.00%825129263.85%2273165516805481030548
68248160635437323713641208033341861256141288030201871127512537366510381901411259638620116412951358264675565521342175525.35%2855281.75%42111346660.91%1597279157.22%829140958.84%2288167316855401010534
78255180024332921411541269001321721155741299001111579958123329581910070135969434380113711821103241173752720872225424.32%2335476.82%41971325160.63%1497255558.59%801138757.75%2305168116145361035560
882462402046383237146412290202620511986412415000201781186011038371310960601691099936630120612011231255673045220611724526.16%2004279.00%11892312460.56%1378249255.30%848143858.97%240418061574498997547
982284002273268289-2141131802152126133-741152200121142156-1479268480748210927790299909869551028262270047319791924020.83%2094976.56%41739311055.92%1399264352.93%744136554.51%2205157617125591059556
10824824005143162457141307001121741165841181700402142129131073165758912413687923315610281045106339278283148119741844222.83%2194977.63%41701311854.55%1508292251.61%768136156.43%2066147018635611023523
1151341100051254130124282140002114773742313700030107575079254468722031188051720166826786442814564322381181912123.08%1102478.18%2991162161.14%917156558.59%54688661.63%145510791002321632341
Total Saison régulière78942223602219444629942257737397229101098232715721111461392193135013112119142211462761041299453558349134825411179056623029017109902100228444242177108604018015260355121.17%253751279.82%30167122921157.21%135282531453.44%72961305055.91%211871524416756538499325214
Séries éliminatoires
2624000001522-73120000089-131200000713-641528430005362070607273218669511218527.78%33875.76%011722053.18%10020947.85%5110150.50%147100143437437
340400000715-82020000027-52020000058-307132000022312303549391343748732314.35%22768.18%07013651.47%6413647.06%286543.08%946395315025
440400000713-62020000058-32020000025-3071320000133117054323113254951072229.09%40977.50%07514751.02%6715842.41%346353.97%9059100314823
58440000020200422000009904220000011110820375700041142800899984259636321436616.67%28775.00%014531645.89%12226046.92%6714047.86%2011371916210653
612570000035341624000001315-26330000022193103565100000141110426014515312744511310030343511.63%45686.67%022944251.81%24947951.98%11019057.89%2751912988915073
7514000001120-931200000912-32020000028-621119300003261580356746207504415717529.41%20670.00%08818348.09%9621544.65%378245.12%12788126386834
10945000002934-55320000019172413000001017-782954830010108131211395968336916021411327.27%29679.31%016632750.76%17532553.85%8314955.70%2191552196211256
Total Séries éliminatoires48163200000124158-3425916000006577-1223716000005981-223212422935300103940331623113513568408173147450511801702715.88%2174977.42%0890177150.25%873178248.99%41079051.90%11557961174360611304