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Connexion

Monsters
GP: 1 | W: 0 | L: 0 | OTL: 1 | P: 1
GF: 2 | GA: 3 | PP%: 16.67% | PK%: 85.71%
DG: Yvon Poulin | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #22 vs Flames
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Centre de jeu
Penguins
1-0-0, 2pts
3
FINAL
2 Monsters
0-0-1, 1pts
Team Stats
W1StreakSOL1
0-0-0Home Record0-0-1
1-0-0Away Record0-0-0
1-0-0Last 10 Games0-0-1
3.00Buts par match 2.00
2.00Buts contre par match 3.00
14.29%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique85.71%
Monsters
0-0-1, 1pts
2022-10-14
Flames
2-0-0, 4pts
Statistiques d’équipe
SOL1SéquenceW2
0-0-1Fiche domicile0-0-0
0-0-0Fiche visiteur2-0-0
0-0-110 derniers matchs2-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
16.67%Pourcentage en avantage numérique20.00%
85.71%Pourcentage en désavantage numérique100.00%
Monsters
0-0-1, 1pts
2022-10-15
Rocket
0-1-0, 0pts
Statistiques d’équipe
SOL1SéquenceL1
0-0-1Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
0-0-110 derniers matchs0-1-0
2.00Buts par match 1.00
3.00Buts contre par match 1.00
16.67%Pourcentage en avantage numérique16.67%
85.71%Pourcentage en désavantage numérique80.00%
Bruins
2-0-0, 4pts
2022-10-16
Monsters
0-0-1, 1pts
Statistiques d’équipe
W2SéquenceSOL1
1-0-0Fiche domicile0-0-1
1-0-0Fiche visiteur0-0-0
2-0-010 derniers matchs0-0-1
3.00Buts par match 2.00
1.50Buts contre par match 2.00
10.00%Pourcentage en avantage numérique16.67%
90.00%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Buts
Jesse Ylonen
1
Passes
Gabriel Carlsson
1
Points
Jesse Ylonen
1
Plus/Moins
Rasmus Asplund
1
Victoires
Eetu Makiniemi
0
Pourcentage d’arrêts
Eetu Makiniemi
0.917

Statistiques d’équipe
Buts pour
2
2.00 GFG
Tirs pour
13
13.00 Avg
Pourcentage en avantage numérique
16.7%
1 GF
Début de zone offensive
37.0%
Buts contre
3
3.00 GAA
Tirs contre
24
24.00 Avg
Pourcentage en désavantage numérique
85.7%
1 GA
Début de la zone défensive
43.8%
Informations de l'équipe

Directeur généralYvon Poulin
EntraîneurRick Tocchet
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1Ben Hutton
Assistant #2Rasmus Asplund


Informations de l’aréna

Capacité3,000
Assistance2,874
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure19
Limite contact 53 / 60
Espoirs23


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
1Jan Jenik (R)0X100.00849176746457736543586865254545685000222902,500$
2Jack Drury (R)0X100.00676375716362626379626060574444625000223925,000$
3Jesse Ylonen (R)0X100.00634195666959746825666661254545665000222925,000$
4Adam Raska (R)0XX100.00686868676855575050484758454444535000213900,000$
5Kevin Stenlund0XX100.00828185718163646176595770545353635000261925,000$
6Rasmus Asplund (A)0XXX100.00634195776767817039695968255959665000241925,000$
7Charles Hudon0XX100.00706876636857556650606863654444665000282650,000$
8Michael McCarron0XX100.00889963699157626483626678255757685000271750,000$
9Sonny Milano0X100.006341948370706476257572602559597150002631,700,000$
10Mikhail Maltsev0XX100.00824596747451806673505568254949625000242925,000$
11Antoine Morand (R)0X100.00726687676662665063474760454444555000231927,500$
12Connor Dewar0XX100.00796380656656696256605774254747645000231925,000$
13Cale Fleury0X100.00864699747765706025394775254848595000231883,333$
14Gabriel Carlsson0X100.00694391787860576025534871255858605000251725,000$
15Riley Stillman0X100.00889380767567655725544878255757635000241900,000$
16Ben Hutton (A)0X100.007187848178677458255248757570706250002911,500,000$
17Mike Reilly0X100.0078448681727788652554487125656662500X02911,500,000$
18Casey Fitzgerald0X100.008999727267716958255247762547476250002511,000,000$
Rayé
1Cole Reinhardt (R)0X100.00757476637472775650505863554444605000223813,333$
2Bryce Misley (R)0X100.00716975626942415063385659534444545000232650,000$
3Jack Badini (R)0XX100.00777386687354564860454562434444535000242815,000$
4Tyler Benson0X100.00814482677052676225535660254747605000241863,333$
5Brendan Guhle0X100.00757378797357614725354164395959535000251888,833$
6Robin Salo (R)0X100.00614193686970596625544869254545595000233937,750$
7Ryan Jones0X100.00787877637865704950474662444444555000262650,000$
8Donovan Sebrango (R)0X100.00767189637160654425343960374444505000202925,000$
9Kaedan Korczak (R)0X100.00767482737456584925434061384444535000212905,000$
10Drew Helleson (R)0X100.00787391697338374525363961374444505000213650,000$
11Ville Heinola0X100.007142778064666462256947692546466250002111,137,500$
MOYENNE D’ÉQUIPE100.0075658371726165594253536637505060500
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
1Mackenzie Blackwood100.0061686790655669616561665959635000262913,333$
2Eetu Makiniemi (R)100.00624050726666707174733044446550002331,000,000$
Rayé
1Colton Point (R)100.0045465895454545504545454444465000242750,000$
2Jakub Skarek (R)100.0048445581494950545050304444495000221927,500$
3Isaiah Saville (R)100.0044405074454445494545454444455000223862,417$
MOYENNE D’ÉQUIPE100.005248568254525657565543474754500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet82907785837965CAN5831,500,000$


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
1Jesse YlonenMonsters (CLB)RW1101-10000101100.00%01515.451011500000000.00%000001.2900000000
2Gabriel CarlssonMonsters (CLB)D1011-100121100.00%22222.520111400004000.00%000000.8900000000
3Rasmus AsplundMonsters (CLB)C/LW/RW1011100022000.00%02020.380000500014000.00%000000.9800000000
4Frank VatranoBlue JacketsLW/RW11011202020150.00%12121.5700004000060121.571400000.9301000000
5Michael McCarronMonsters (CLB)C/RW1011140130020.00%01717.9800004000020017.982200001.1100000000
6Sonny MilanoMonsters (CLB)LW1011-100012120.00%02323.6001105000070023.60600000.8501000000
7Jan JenikMonsters (CLB)C1000-100301000.00%01616.6700004000010016.671500000.00%00000000
8Jack DruryMonsters (CLB)C1000000010000.00%099.200000100000009.20700000.00%00000000
9Cale FleuryMonsters (CLB)D1000020220000.00%11515.950000100002000.00%000000.00%00000000
10Kevin StenlundMonsters (CLB)C/RW1000000132020.00%01414.0200000000020014.021000000.00%00000000
11Riley StillmanMonsters (CLB)D1000-120120000.00%12323.900000500004000.00%000000.00%00000000
12Ben HuttonMonsters (CLB)D1000100100000.00%02222.770000400006000.00%000000.00%00000000
13Charles HudonMonsters (CLB)LW/RW1000000000120.00%01111.3700000000000011.37200000.00%00000000
14Mike ReillyMonsters (CLB)D1000100101000.00%02424.870001400007000.00%000000.00%00000000
15Mikhail MaltsevMonsters (CLB)C/LW1000020100020.00%01111.0500000000000011.05100000.00%00000000
16Antoine MorandMonsters (CLB)C1000000100000.00%088.370000000000000.00%000000.00%00000000
17Casey FitzgeraldMonsters (CLB)D1000000400000.00%01414.970000100000000.00%000000.00%00000000
18Connor DewarMonsters (CLB)C/LW1000000021000.00%077.430000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne18246012019181331215.38%530216.781233560001510153.25%7700000.4002000000
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
1Eetu MakiniemiMonsters (CLB)10010.9171.8565202240000.333310000
Statistiques d’équipe totales ou en moyenne10010.9171.856520224000310000


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
Adam RaskaMonsters (CLB)LW/RW212001-09-25Yes183 Lbs5 ft10YesNoNo3Pro & Farm900,000$875,342$900,000$875,342$0$0$No900,000$900,000$Lien
Antoine MorandMonsters (CLB)C231999-02-18Yes184 Lbs5 ft11NoNoNo1Pro & Farm927,500$902,089$927,500$902,089$0$0$NoLien
Ben HuttonMonsters (CLB)D291993-04-19No206 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,458,904$1,500,000$1,458,904$0$0$NoLien
Brendan GuhleMonsters (CLB)D251997-07-29No197 Lbs6 ft2NoNoNo1Pro & Farm888,833$864,481$888,833$864,481$0$0$NoLien
Bryce MisleyMonsters (CLB)C231999-09-05Yes185 Lbs6 ft1NoNoNo2Pro & Farm650,000$632,192$450,000$437,671$0$0$No650,000$Lien
Cale FleuryMonsters (CLB)D231998-11-18No213 Lbs6 ft1NoNoNo1Pro & Farm883,333$859,132$883,333$859,132$0$0$NoLien
Casey FitzgeraldMonsters (CLB)D251997-02-24No178 Lbs5 ft11YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Charles HudonMonsters (CLB)LW/RW281994-06-23No190 Lbs5 ft10NoNoNo2Pro & Farm650,000$632,192$650,000$632,192$0$0$No650,000$Lien
Cole ReinhardtMonsters (CLB)LW222000-02-01Yes203 Lbs6 ft1YesNoNo3Pro & Farm813,333$791,050$813,333$791,050$0$0$No813,333$813,333$Lien
Colton PointMonsters (CLB)G241998-03-04Yes230 Lbs6 ft5NoNoNo2Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$Lien
Connor DewarMonsters (CLB)C/LW231999-06-26No182 Lbs5 ft10NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Donovan SebrangoMonsters (CLB)D202002-01-12Yes194 Lbs6 ft1NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Drew HellesonMonsters (CLB)D212001-03-26Yes190 Lbs6 ft3NoNoNo3Pro & Farm650,000$632,192$650,000$632,192$0$0$No650,000$650,000$
Eetu MakiniemiMonsters (CLB)G231999-04-19Yes183 Lbs6 ft2YesNoNo3Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$No1,000,000$1,000,000$Lien
Gabriel CarlssonMonsters (CLB)D251997-01-02No203 Lbs6 ft5NoNoNo1Pro & Farm725,000$705,137$725,000$705,137$0$0$NoLien
Isaiah SavilleMonsters (CLB)G222000-09-21Yes196 Lbs6 ft1YesNoNo3Pro & Farm862,417$838,789$862,417$838,789$0$0$No862,417$862,417$Lien
Jack BadiniMonsters (CLB)C/LW241998-01-19Yes203 Lbs6 ft0NoNoNo2Pro & Farm815,000$792,671$805,000$782,945$0$0$No815,000$Lien
Jack DruryMonsters (CLB)C222000-02-03Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$
Jakub SkarekMonsters (CLB)G221999-11-10Yes202 Lbs6 ft3NoNoNo1Pro & Farm927,500$902,089$927,500$902,089$0$0$NoLien
Jan JenikMonsters (CLB)C222000-09-15Yes161 Lbs6 ft1NoNoNo2Pro & Farm902,500$877,774$795,000$773,219$0$0$No902,500$Lien
Jesse YlonenMonsters (CLB)RW221999-10-03Yes187 Lbs6 ft1NoNoNo2Pro & Farm925,000$899,658$880,833$856,701$0$0$No925,000$Lien
Kaedan KorczakMonsters (CLB)D212001-01-29Yes192 Lbs6 ft4NoNoNo2Pro & Farm905,000$880,205$795,000$773,219$0$0$No905,000$Lien
Kevin StenlundMonsters (CLB)C/RW261996-09-20No215 Lbs6 ft4NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Mackenzie BlackwoodMonsters (CLB)G261996-09-12No225 Lbs6 ft4NoNoNo2Pro & Farm913,333$888,310$913,333$888,310$0$0$No913,333$Lien
Michael McCarronMonsters (CLB)C/RW271995-03-07No232 Lbs6 ft6NoNoNo1Pro & Farm750,000$729,452$750,000$729,452$0$0$NoLien
Mike ReillyMonsters (CLB)D291993-07-13No199 Lbs6 ft1NoYesNo1Pro & Farm1,500,000$1,458,904$1,500,000$1,458,904$0$0$NoLien
Mikhail MaltsevMonsters (CLB)C/LW241998-03-12No198 Lbs6 ft3YesNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Rasmus AsplundMonsters (CLB)C/LW/RW241997-12-03No189 Lbs5 ft11NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Riley StillmanMonsters (CLB)D241998-03-09No196 Lbs6 ft1NoNoNo1Pro & Farm900,000$875,342$900,000$875,342$0$0$NoLien
Robin SaloMonsters (CLB)D231998-10-13Yes187 Lbs6 ft1YesNoNo3Pro & Farm937,750$912,058$937,750$912,058$0$0$No937,750$937,750$Lien
Ryan JonesMonsters (CLB)D261996-05-26No214 Lbs6 ft2NoNoNo2Pro & Farm650,000$632,192$450,000$437,671$0$0$No650,000$Lien
Sonny MilanoMonsters (CLB)LW261996-05-12No194 Lbs6 ft0NoNoNo3Pro & Farm1,700,000$1,653,425$1,700,000$1,653,425$0$0$No1,700,000$1,700,000$Lien
Tyler BensonMonsters (CLB)LW241998-03-15No192 Lbs6 ft0NoNoNo1Pro & Farm863,333$839,680$863,333$839,680$0$0$NoLien
Ville HeinolaMonsters (CLB)D212001-03-02No178 Lbs5 ft11NoNoNo1Pro & Farm1,137,500$1,106,336$1,137,500$1,106,336$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3423.82196 Lbs6 ft11.79928,745$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoMichael McCarronRasmus Asplund35122
2Mikhail MaltsevJan JenikJesse Ylonen30122
3Charles HudonKevin StenlundAdam Raska25122
4Connor DewarAntoine MorandJack Drury10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyBen Hutton35122
2Riley StillmanGabriel Carlsson30122
3Casey FitzgeraldCale Fleury25122
4Mike ReillyBen Hutton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoMichael McCarronRasmus Asplund60122
2Mikhail MaltsevJan JenikJesse Ylonen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyBen Hutton60122
2Riley StillmanGabriel Carlsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sonny MilanoMichael McCarron60122
2Rasmus AsplundJan Jenik40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyBen Hutton60122
2Riley StillmanGabriel Carlsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sonny Milano60122Mike ReillyBen Hutton60122
2Michael McCarron40122Riley StillmanGabriel Carlsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sonny MilanoMichael McCarron60122
2Rasmus AsplundJan Jenik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyBen Hutton60122
2Riley StillmanGabriel Carlsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoMichael McCarronRasmus AsplundMike ReillyBen Hutton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoMichael McCarronRasmus AsplundMike ReillyBen Hutton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Drury, Antoine Morand, Kevin StenlundJack Drury, Antoine MorandKevin Stenlund
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casey Fitzgerald, Cale Fleury, Riley StillmanCasey FitzgeraldCale Fleury, Riley Stillman
Tirs de pénalité
Sonny Milano, Michael McCarron, Rasmus Asplund, Jan Jenik, Jesse Ylonen
Gardien
#1 : Eetu Makiniemi, #2 : Mackenzie Blackwood
Lignes d’attaque personnalisées en prolongation
Sonny Milano, Michael McCarron, Rasmus Asplund, Jan Jenik, Jesse Ylonen, Kevin Stenlund, Kevin Stenlund, Mikhail Maltsev, Charles Hudon, Connor Dewar, Jack Drury
Lignes de défense personnalisées en prolongation
Mike Reilly, Ben Hutton, Riley Stillman, Gabriel Carlsson, Casey Fitzgerald


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
1Penguins1000000123-11000000123-10000000000010.50024600002013615324514196116.67%7185.71%0142751.85%163250.00%111478.57%2315287136
Total1000000123-11000000123-10000000000010.50024600002013615324514196116.67%7185.71%0142751.85%163250.00%111478.57%2315287136
_Since Last GM Reset1000000123-11000000123-10000000000010.50024600002013615324514196116.67%7185.71%0142751.85%163250.00%111478.57%2315287136
_Vs Conference1000000123-11000000123-10000000000010.50024600002013615324514196116.67%7185.71%0142751.85%163250.00%111478.57%2315287136
_Vs Division1000000123-11000000123-10000000000010.50024600002013615324514196116.67%7185.71%0142751.85%163250.00%111478.57%2315287136

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
11SOL124613245141900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
100000123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100000123
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6116.67%7185.71%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
61530020
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
142751.85%163250.00%111478.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2315287136


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
1 - 2022-10-094Penguins3Monsters2BLXXSommaire du match
6 - 2022-10-1422Monsters-Flames-
7 - 2022-10-1529Monsters-Rocket-
8 - 2022-10-1639Bruins-Monsters-
9 - 2022-10-1750Monsters-Sound Tigers-
12 - 2022-10-2061Penguins-Monsters-
13 - 2022-10-2174Monsters-Senators-
15 - 2022-10-2383Rocket-Monsters-
16 - 2022-10-2496Monsters-Sound Tigers-
18 - 2022-10-26103Phantoms-Monsters-
21 - 2022-10-29121Penguins-Monsters-
22 - 2022-10-30128Monsters-Wolf Pack-
23 - 2022-10-31136Monsters-IceHogs-
25 - 2022-11-02149Senators-Monsters-
27 - 2022-11-04160Admirals-Monsters-
30 - 2022-11-07177Senators-Monsters-
31 - 2022-11-08184Monsters-Phantoms-
33 - 2022-11-10192Monsters-Senators-
36 - 2022-11-13205Soldiers-Monsters-
41 - 2022-11-18219Monsters-Wolf Pack-
42 - 2022-11-19230Penguins-Monsters-
45 - 2022-11-22245Monsters-Rocket-
46 - 2022-11-23251Wolf Pack-Monsters-
48 - 2022-11-25267Marlies-Monsters-
50 - 2022-11-27279Monsters-Sharks-
51 - 2022-11-28288Condors-Monsters-
52 - 2022-11-29298Monsters-Phantoms-
54 - 2022-12-01310Condors-Monsters-
55 - 2022-12-02318Monsters-Rocket-
58 - 2022-12-05334Phantoms-Monsters-
60 - 2022-12-07343Monsters-Flames-
62 - 2022-12-09353Monsters-Wolves-
63 - 2022-12-10361Crunch-Monsters-
66 - 2022-12-13377Sound Tigers-Monsters-
67 - 2022-12-14385Monsters-Stars-
68 - 2022-12-15394Monsters-Bruins-
69 - 2022-12-16401Monsters-Penguins-
72 - 2022-12-19412Rocket-Monsters-
74 - 2022-12-21426Monsters-Monarchs-
75 - 2022-12-22434Rocket-Monsters-
76 - 2022-12-23439Monsters-Crunch-
79 - 2022-12-26456Flames-Monsters-
81 - 2022-12-28469Monsters-Sound Tigers-
82 - 2022-12-29477Bruins-Monsters-
85 - 2023-01-01489Monsters-Marlies-
87 - 2023-01-03499Marlies-Monsters-
90 - 2023-01-06514Bruins-Monsters-
93 - 2023-01-09529Monsters-Admirals-
94 - 2023-01-10538Crunch-Monsters-
98 - 2023-01-14551Monsters-Penguins-
99 - 2023-01-15559Soldiers-Monsters-
103 - 2023-01-19577Senators-Monsters-
105 - 2023-01-21589Monsters-Crunch-
107 - 2023-01-23599Phantoms-Monsters-
108 - 2023-01-24606Monsters-Flames-
109 - 2023-01-25618Monsters-Moose-
112 - 2023-01-28626IceHogs-Monsters-
114 - 2023-01-30641Wolf Pack-Monsters-
117 - 2023-02-02652Monsters-Flames-
118 - 2023-02-03665Bruins-Monsters-
121 - 2023-02-06670Monsters-Griffins-
123 - 2023-02-08684Rampage-Monsters-
125 - 2023-02-10689Monsters-Wolf Pack-
127 - 2023-02-12705Monsters-Sharks-
128 - 2023-02-13713Condors-Monsters-
131 - 2023-02-16728Sound Tigers-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
134 - 2023-02-19736Monsters-IceHogs-
137 - 2023-02-22750Penguins-Monsters-
141 - 2023-02-26765Monsters-Bruins-
142 - 2023-02-27774Monsters-Senators-
144 - 2023-03-01779Flames-Monsters-
145 - 2023-03-02787Monsters-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance1,974900
Assistance PCT98.70%90.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2874 - 95.80% 90,849$90,849$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
132,813$ 3,157,732$ 3,090,565$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 91,717$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 142 31,902$ 4,530,084$




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

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

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

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

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