Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

Monsters
GP: 21 | W: 16 | L: 5
GF: 57 | GA: 38 | PP%: 15.13% | PK%: 86.29%
DG: Tyler Bell | Morale : 50 | Moyenne d’équipe : 60
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Monsters
16-5-0, 32pts
3
FINAL
0 Wild
14-6-0, 28pts
Team Stats
W2StreakL2
8-2-0Home Record7-3-0
8-3-0Away Record7-3-0
6-4-0Last 10 Games6-3-1
2.71Buts par match 3.30
1.81Buts contre par match 1.70
15.13%Pourcentage en avantage numérique6.73%
86.29%Pourcentage en désavantage numérique89.89%
Wild
14-6-0, 28pts
2
FINAL
3 Monsters
16-5-0, 32pts
Team Stats
L2StreakW2
7-3-0Home Record8-2-0
7-3-0Away Record8-3-0
6-3-1Last 10 Games6-4-0
3.30Buts par match 2.71
1.70Buts contre par match 1.81
6.73%Pourcentage en avantage numérique15.13%
89.89%Pourcentage en désavantage numérique86.29%
Meneurs d'équipe
Buts
Lukas Reichel
13
Passes
Kent Johnson
15
Points
Lukas Reichel
21
Plus/Moins
Simon Edvinsson
11
Dustin TokarskiVictoires
Dustin Tokarski
16
Pourcentage d’arrêts
Dylan Garand
1

Statistiques d’équipe
Buts pour
57
2.71 GFG
Tirs pour
466
22.19 Avg
Pourcentage en avantage numérique
15.1%
18 GF
Début de zone offensive
41.3%
Buts contre
38
1.81 GAA
Tirs contre
401
19.10 Avg
Pourcentage en désavantage numérique
86.3%%
17 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralTyler Bell
EntraîneurJeremy Colliton
DivisionNorth
ConférenceEastern Conference
CapitaineT.J. Tynan
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,469
Billets de saison1,200


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 50
Espoirs46


Historique d'équipe

Saison actuelle16-5
Historique48-17-7 (0.667%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)17-9
Coupe Stanley0


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
1Lukas Reichel (R)XX100.0061419175647488763777816425474777506902221,337,500$
2Kent Johnson (R)XX100.005940937663677771407572597555557150660213925,000$
3Zac DalpeXX100.007644957072528256686266652560606650630341850,000$
4Julien GauthierX100.0083469677845272573659706225616168506302611,163,333$
5Raphael Lavoie (R)XX100.0076757968757275648057676564444466506302321,500,000$
6Jake Neighbours (R)X100.008075837273637065365966652549496750620223835,000$
7Jacob Lucchini (R)XXX100.008044996666618870265059722545456550620281750,000$
8Samuel Walker (R)XX100.007266876666676866505969646644446750620243855,000$
9Valtteri Puustinen (R)XX100.007062906562848964506263626044446650620252925,000$
10William Lockwood (R)X100.009345996763577457255855732545456450600252842,500$
11Cedric PareX100.008380896280616260755758685544446350600252750,000$
12T.J. Tynan (C)X100.006558826258798463797348604645456050600321800,000$
13Mark FriedmanX100.008875817369655861254848742552536150640281785,000$
14Simon Edvinsson (R)X100.007475737875656953255042614044445650600213894,167$
15Santtu Kinnunen (R)X100.006860886760737854254945594344445750590253855,000$
16Adam Wilsby (R)X100.007367866667727848254239603744445250580233842,500$
17Cole Mcward (R)X100.007671885871505150254341623944445350550231922,500$
Rayé
1Danila Klimovich (R)X100.007675776775768156504859635644446150600212925,000$
2Jack Finley (R)X100.008182796382758154684657655444446050590223797,500$
3Lukas Svejkovsky (R)X100.007060946760656952655346594444445550560223859,167$
4Carter Savoie (R)X100.007367876567596152504357615444445850560223925,000$
5Kale HowarthXX100.007978816578545746584344624244445250540272750,000$
6Brendan WarrenX100.007570886770495048604546614444445350530272750,000$
7Seth Barton (R)X100.007470846770495145253441593944445150550242832,500$
MOYENNE D’ÉQUIPE100.00756487687064715846545664434747615060
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
1Dustin Tokarski100.00585063746159556260599548485950580342800,000$
2Dylan Garand (R)100.00495366624853505553523044445150520213925,000$
Rayé
MOYENNE D’ÉQUIPE100.0054526568555653595756634646555055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton82838387545089CAN3622,000,000$


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
1Lukas ReichelMonsters (CLB)LW/RW2113821400185691144914.29%750624.10628258800041095141.63%24500000.8300000510
2Valtteri PuustinenMonsters (CLB)LW/RW21711185120202562113311.29%236417.354372798000023070.00%1000000.9900000310
3Kent JohnsonMonsters (CLB)C/LW212151742016393216416.25%145021.45156118800031110042.98%36300000.7500000130
4Zac DalpeMonsters (CLB)C/RW21791658023543492620.59%134616.500331388000023057.18%36200000.9200000130
5Julien GauthierMonsters (CLB)RW2151015620031283273215.63%140119.1214515840000571029.41%1700000.7500000023
6Jake NeighboursMonsters (CLB)LW2146101040045121141036.36%430514.571011300000100.00%200000.6500000111
7Mark FriedmanMonsters (CLB)D2128101039546221381015.38%2246222.03224786000082010.00%000000.4300010001
8Raphael LavoieMonsters (CLB)C/RW21461033155016414239.76%239218.682359910111581063.08%6500000.5100001003
9Samuel WalkerMonsters (CLB)LW/RW21729860143734103220.59%130514.540004180000161152.94%1700000.5900000302
10Santtu KinnunenMonsters (CLB)D21257-214025101621012.50%1646822.320221191101193000.00%000000.3000000010
11Jacob LucchiniMonsters (CLB)C/LW/RW2115686015303713312.70%333816.100112160001450137.45%25100000.3600000001
12Simon EdvinssonMonsters (CLB)D2114511100261285212.50%947422.61011387000094000.00%000000.2100000000
13Adam WilsbyMonsters (CLB)D21145-334031514357.14%1946522.161231090000086000.00%000000.2100000001
14William LockwoodMonsters (CLB)RW21134836039252313224.35%326712.7400000000001042.86%1400000.3000000000
15T.J. TynanMonsters (CLB)C21033000364030.00%01055.010112240000190066.67%2700000.5700000000
16Cole McwardMonsters (CLB)D21011101202153130.00%1232615.53000119000035000.00%000000.0600000010
17Cedric PareMonsters (CLB)C200110201199040.00%1753.7900000000000065.00%8000000.2600000000
18Danila KlimovichMonsters (CLB)C1000000021100.00%044.42000000000000100.00%400000.00%00000000
Statistiques d’équipe totales ou en moyenne35757101158872721043439346512133612.26%104606116.981829471419781121081616448.11%145700000.5200011141312
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
1Dustin TokarskiMonsters (CLB)2116500.9051.83124903383990100.00%0210211
2Dylan GarandMonsters (CLB)10001.0000.00%1100020000.00%0021000
Statistiques d’équipe totales ou en moyenne2216500.9051.811261033840101002121211


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 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 WilsbyMonsters (CLB)D232000-07-08Yes183 Lbs6 ft0NoNoNo3Pro & Farm842,500$0$0$No842,500$842,500$Lien
Brendan WarrenMonsters (CLB)LW271997-05-07No192 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Carter SavoieMonsters (CLB)LW222002-01-23Yes192 Lbs5 ft9NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Cedric PareMonsters (CLB)C251999-01-24No212 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Cole McwardMonsters (CLB)D232001-06-09Yes192 Lbs6 ft1YesNoNo1Pro & Farm922,500$0$0$NoLien
Danila KlimovichMonsters (CLB)C212003-01-09Yes202 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Dustin TokarskiMonsters (CLB)G341989-09-15No205 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Dylan GarandMonsters (CLB)G212002-07-06Yes173 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Jack FinleyMonsters (CLB)C222002-02-09Yes213 Lbs6 ft6NoNoNo3Pro & Farm797,500$0$0$No797,500$797,500$Lien
Jacob LucchiniMonsters (CLB)C/LW/RW281995-09-05Yes183 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien
Jake NeighboursMonsters (CLB)LW222002-03-29Yes195 Lbs6 ft0NoNoNo3Pro & Farm835,000$0$0$No835,000$835,000$Lien
Julien GauthierMonsters (CLB)RW261997-10-15No227 Lbs6 ft4NoNoNo1Pro & Farm1,163,333$0$0$NoLien / Lien NHL
Kale HowarthMonsters (CLB)C/LW271997-06-10No201 Lbs6 ft5NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Kent JohnsonMonsters (CLB)C/LW212002-10-18Yes168 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Lukas ReichelMonsters (CLB)LW/RW222002-05-17Yes170 Lbs6 ft0NoNoNo2Pro & Farm1,337,500$0$0$No1,337,500$Lien
Lukas SvejkovskyMonsters (CLB)C222001-11-28Yes165 Lbs5 ft10NoNoNo3Pro & Farm859,167$0$0$No859,167$859,167$Lien
Mark FriedmanMonsters (CLB)D281995-12-25No185 Lbs5 ft11NoNoNo1Pro & Farm785,000$0$0$NoLien / Lien NHL
Raphael LavoieMonsters (CLB)C/RW232000-09-25Yes196 Lbs6 ft4NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Samuel WalkerMonsters (CLB)LW/RW241999-07-06Yes180 Lbs5 ft11NoNoNo3Pro & Farm855,000$0$0$No855,000$855,000$Lien
Santtu KinnunenMonsters (CLB)D251999-03-25Yes154 Lbs6 ft2NoNoNo3Pro & Farm855,000$0$0$No855,000$855,000$Lien
Seth BartonMonsters (CLB)D241999-08-18Yes185 Lbs6 ft2NoNoNo2Pro & Farm832,500$0$0$No832,500$Lien
Simon EdvinssonMonsters (CLB)D212003-05-02Yes198 Lbs6 ft4NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
T.J. TynanMonsters (CLB)C321992-02-25No165 Lbs5 ft8NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Valtteri PuustinenMonsters (CLB)LW/RW251999-06-04Yes179 Lbs5 ft9NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
William LockwoodMonsters (CLB)RW251998-06-20Yes172 Lbs5 ft11NoNoNo2Pro & Farm842,500$0$0$No842,500$Lien
Zac DalpeMonsters (CLB)C/RW341989-11-01No194 Lbs6 ft2NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.88188 Lbs6 ft12.15899,872$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelKent JohnsonRaphael Lavoie40122
2Valtteri PuustinenZac DalpeJulien Gauthier30122
3Samuel WalkerJacob LucchiniWilliam Lockwood20122
4Jake NeighboursCedric PareLukas Reichel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanSimon Edvinsson40122
2Santtu KinnunenAdam Wilsby30122
3Cole McwardJake Neighbours20122
4Mark FriedmanSimon Edvinsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelKent JohnsonRaphael Lavoie60122
2Valtteri PuustinenZac DalpeJulien Gauthier40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanSimon Edvinsson60122
2Santtu KinnunenAdam Wilsby40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lukas ReichelKent Johnson60122
2Raphael LavoieJulien Gauthier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanSimon Edvinsson60122
2Santtu KinnunenAdam Wilsby40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lukas Reichel60122Mark FriedmanSimon Edvinsson60122
2Kent Johnson40122Santtu KinnunenAdam Wilsby40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lukas ReichelKent Johnson60122
2Raphael LavoieJulien Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanSimon Edvinsson60122
2Santtu KinnunenAdam Wilsby40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelKent JohnsonRaphael LavoieMark FriedmanSimon Edvinsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelKent JohnsonRaphael LavoieMark FriedmanSimon Edvinsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
T.J. Tynan, Samuel Walker, Jacob LucchiniT.J. Tynan, Samuel WalkerJacob Lucchini
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Mcward, Santtu Kinnunen, Adam WilsbyCole McwardSanttu Kinnunen, Adam Wilsby
Tirs de pénalité
Lukas Reichel, Kent Johnson, Raphael Lavoie, Julien Gauthier, Zac Dalpe
Gardien
#1 : Dustin Tokarski, #2 : Dylan Garand
Lignes d’attaque personnalisées en prolongation
Lukas Reichel, Kent Johnson, Raphael Lavoie, Julien Gauthier, Zac Dalpe, Valtteri Puustinen, Valtteri Puustinen, Samuel Walker, Jacob Lucchini, Jake Neighbours, William Lockwood
Lignes de défense personnalisées en prolongation
Mark Friedman, Simon Edvinsson, Santtu Kinnunen, Adam Wilsby, Cole Mcward


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
1Marlies541000001477220000006153210000086280.800142438011815231112155142168188206510240820.00%26676.92%030060249.83%26557446.17%13628148.40%518356478156264134
2Wild6420000012102321000007703210000053280.6671223350218152311051551421681112287212729413.79%35197.14%130060249.83%26557446.17%13628148.40%518356478156264134
3Wolf Pack64200000191453210000010823210000096380.667193352001815231137155142168111728851303638.33%39684.62%030060249.83%26557446.17%13628148.40%518356478156264134
4Wolves440000001275220000006422200000063381.00012213300181523111215514216818428507614321.43%24483.33%030060249.83%26557446.17%13628148.40%518356478156264134
Total211650000057381910820000029209118300000281810320.7625710115803181523146615514216814011042724351191815.13%1241786.29%130060249.83%26557446.17%13628148.40%518356478156264134
_Since Last GM Reset211650000057381910820000029209118300000281810320.7625710115803181523146615514216814011042724351191815.13%1241786.29%130060249.83%26557446.17%13628148.40%518356478156264134
_Vs Conference151230000045281776100000221398620000023158240.8004578123011815231361155142168128976200308901415.56%891682.02%030060249.83%26557446.17%13628148.40%518356478156264134
_Vs Division541000001477220000006153210000086280.800142438011815231112155142168188206510240820.00%26676.92%030060249.83%26557446.17%13628148.40%518356478156264134

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2132W25710115846640110427243503
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2116500005738
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
108200002920
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
118300002818
Derniers 10 matchs
WLOTWOTL SOWSOL
541000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1191815.13%1241786.29%1
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
15514216811815231
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
30060249.83%26557446.17%13628148.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
518356478156264134


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 - 2023-09-293Monsters3Wolves1AWSommaire du match
3 - 2023-10-0111Monsters3Wolves2AWSommaire du match
5 - 2023-10-0319Wolves2Monsters3BWSommaire du match
7 - 2023-10-0527Wolves2Monsters3BWSommaire du match
15 - 2023-10-1358Monsters3Marlies2AWSommaire du match
17 - 2023-10-1562Monsters1Marlies3ALSommaire du match
19 - 2023-10-1766Marlies0Monsters4BWSommaire du match
21 - 2023-10-1970Marlies1Monsters2BWSommaire du match
23 - 2023-10-2174Monsters4Marlies1AWSommaire du match
29 - 2023-10-2785Monsters4Wolf Pack1AWSommaire du match
31 - 2023-10-2987Monsters3Wolf Pack1AWSommaire du match
33 - 2023-10-3189Wolf Pack4Monsters2BLSommaire du match
35 - 2023-11-0291Wolf Pack3Monsters5BWSommaire du match
37 - 2023-11-0493Monsters2Wolf Pack4ALSommaire du match
39 - 2023-11-0695Wolf Pack1Monsters3BWSommaire du match
43 - 2023-11-1099Monsters2Wild0AWSommaire du match
44 - 2023-11-11100Monsters0Wild3ALSommaire du match
45 - 2023-11-12101Wild2Monsters3BWXSommaire du match
46 - 2023-11-13102Wild3Monsters1BLSommaire du match
47 - 2023-11-14103Monsters3Wild0AWSommaire du match
48 - 2023-11-15104Wild2Monsters3BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance14,6989,991
Assistance PCT73.49%99.91%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2469 - 82.30% 146,980$1,469,800$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,339,667$ 2,339,667$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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
1Jacob Lucchini72447311751328614531314.06%41136318.931522379200016140.9131.7211
2Samuel Walker72446310752425210827615.94%20130718.16722296900017356.5811.6401
3Jake Neighbours724459103506413111427615.94%21141919.7112102262000010351.2421.4513
4Raphael Lavoie705148996010215217625020.40%10147121.0114122638202183266.8851.3503
5Zac Dalpe7237549138458717923215.95%50152021.11914235710167367.1401.2013

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
1Dustin Tokarski72471770.8742.5541660817714020600.50010
2Dylan Garand71000.9142.31182007810000.00%0

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
2023724217055123281861423623702211162847836191003301166102641033285708980813193989214465770976425148343278912053757219.20%3315483.69%11342206065.15%1033174759.13%706115461.18%198414941565457801417
Total Saison régulière724217055123281861423623702211162847836191003301166102641033285708980813193989214465770976425148343278912053757219.20%3315483.69%11342206065.15%1033174759.13%706115461.18%198414941565457801417
Séries éliminatoires
2021514000001426-122020000068-231200000818-10214233700553188292829217343529520525.00%251060.00%0308634.88%5214436.11%317740.26%9365155355625
2023211650000057381910820000029209118300000281810325710115803181523146615514216814011042724351191815.13%1241786.29%130060249.83%26557446.17%13628148.40%518356478156264134
Total Séries éliminatoires2617900000716471284000003528714950000036360347112419503232026255418417019735741473245301392316.55%1492781.88%133068847.97%31771844.15%16735846.65%612421634191321159

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
1Lukas Reichel21138214018569114.29%750624.106282500045141.6300.8300
2Valtteri Puustinen217111851220256211.29%236417.354372700003070.0000.9900
3Kent Johnson2121517421639326.25%145021.451561100030042.9800.7500
4Zac Dalpe2179165823543420.59%134616.500331300003057.1800.9200
5Julien Gauthier215101562031283215.63%140119.121451500001029.4100.7500

Monsters Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dustin Tokarski2116500.9051.83124903383990100.00%0
2Jeff Glass51310.8624.7425300201450100.00%0
3Dylan Garand10001.0000.00%1100020000.00%0