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Connexion

Monsters
GP: 82 | W: 64 | L: 15 | OTL: 3 | P: 131
GF: 379 | GA: 168 | PP%: 19.02% | PK%: 89.37%
DG: Tyler Bell | Morale : 50 | Moyenne d’équipe : 57
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Centre de jeu
Monsters
64-15-3, 131pts
3
FINAL
1 Gulls
54-26-2, 110pts
Team Stats
OTW1StreakW1
31-8-2Home Record28-12-1
33-7-1Away Record26-14-1
6-3-1Last 10 Games7-3-0
4.62Buts par match 4.72
2.05Buts contre par match 3.12
19.02%Pourcentage en avantage numérique19.02%
89.37%Pourcentage en désavantage numérique80.62%
Monsters
64-15-3, 131pts
3
FINAL
2 Rocket
66-11-5, 137pts
Team Stats
OTW1StreakOTL1
31-8-2Home Record33-5-3
33-7-1Away Record33-6-2
6-3-1Last 10 Games8-1-1
4.62Buts par match 5.93
2.05Buts contre par match 2.20
19.02%Pourcentage en avantage numérique22.35%
89.37%Pourcentage en désavantage numérique84.51%
Meneurs d'équipe
Buts
Lukas Reichel
53
T.J. TynanPasses
T.J. Tynan
74
T.J. TynanPoints
T.J. Tynan
111
T.J. TynanPlus/Moins
T.J. Tynan
87
Dustin TokarskiVictoires
Dustin Tokarski
57
Dustin TokarskiPourcentage d’arrêts
Dustin Tokarski
0.894

Statistiques d’équipe
Buts pour
379
4.62 GFG
Tirs pour
2319
28.28 Avg
Pourcentage en avantage numérique
19.0%
58 GF
Début de zone offensive
40.7%
Buts contre
168
2.05 GAA
Tirs contre
1526
18.61 Avg
Pourcentage en désavantage numérique
89.4%%
52 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralTyler Bell
EntraîneurKris Knoblauch
DivisionNorth
ConférenceEastern Conference
CapitaineT.J. Tynan
Assistant #1Mason Geertsen
Assistant #2Brandon Baddock


Informations de l’aréna

Capacité3,000
Assistance1,867
Billets de saison1,200


Informations de la formation

Équipe Pro19
Équipe Mineure20
Limite contact 39 / 50
Espoirs40


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
1T.J. Tynan (C)X100.006858906258707167807259625645456550620312800,000$
2Lukas Reichel (R)XX100.0055409975646561685359556225454561506002131,337,500$
3Justin KirklandX100.007070696370606064505865626245456350600261750,000$
4Phil Di GiuseppeXXX100.007270756970504764506460635744446250590292800,000$
5Valtteri Puustinen (R)XX100.007364936564626361505662635944446450590243925,000$
6William Lockwood (R)X100.009993806765596857255055652545456150580243842,500$
7Lauri Pajuniemi (R)X100.007467916567515059505361635844446250570233925,000$
8Danila Klimovich (R)X100.007876846776535451644751634844445650560203925,000$
9Cedric Pare (R)X100.008380916280474750634747654544445550550243750,000$
10Kale Howarth (R)XX100.007778746578383552654456635344445650540263750,000$
11Brandon Baddock (A)X100.007082426682646948504446584444445250540281750,000$
12Brendan Warren (R)X100.007570876770515346584146604444445350530263750,000$
13Andrej SustrX100.006944876784656055255048782547476050630322800,000$
14Nick SeelerX100.008289816877625358254447772547475850630303850,000$
15Mason Geertsen (A)X100.008899296383445456253947682546465450590281750,000$
16Bode Wilde (R)X100.007873916073535450253748634644445550560233764,167$
17Seth Barton (R)X100.008074936774414050254341643944445350560233832,500$
Rayé
1Luka Burzan (R)XX100.007767996467404044553844614244445050500233750,000$
MOYENNE D’ÉQUIPE100.00767281667254545647495264434545585057
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
1Filip Lindberg (R)100.00444050714544454945454544444550480243925,000$
Rayé
MOYENNE D’ÉQUIPE100.0044405071454445494545454444455048
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kris Knoblauch65686970656183CAN431700,000$


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
1T.J. TynanMonsters (CLB)C82377411187360711992096414517.70%21183722.415131825217123174182370.91%213800001.2112000878
2Lukas ReichelMonsters (CLB)LW/RW8253561098440151382436214321.81%12160719.6041115282253031229612465.41%26600031.36020001196
3Phil Di GiuseppeMonsters (CLB)C/LW/RW82376410166280601182146412017.29%8132916.2131720282130003374061.05%126300011.5200000365
4Valtteri PuustinenMonsters (CLB)LW/RW82455610169120341042437316618.52%14158419.339112041224022112557155.26%7600021.27010001275
5William LockwoodMonsters (CLB)RW822865936816915222761814310615.47%11128215.647162335223000075143.48%6900001.4500011843
6Justin KirklandMonsters (CLB)LW824248908410401801052056614320.49%8166320.288614302151121035811257.35%13600031.0802000863
7Lauri PajuniemiMonsters (CLB)RW8229376644380251032146916413.55%12122915.001236510000675160.25%24400011.0700000345
8Danila KlimovichMonsters (CLB)C8226335955380651031583310616.46%11110313.4602213100031083165.42%91100011.0700000344
9Nick SeelerMonsters (CLB)D718505853135251745280336210.00%44157422.1751217351810111280310.00%000000.7400221074
10Andrej SustrMonsters (CLB)D7113375056240616384326015.48%62164023.117512461831123322110.00%000000.6100000117
11Brandon BaddockMonsters (CLB)LW82163248521001012566114336114.04%14125215.2811275910162283057.43%14800000.7700011211
12Mason GeertsenMonsters (CLB)D8212334569194103154876264315.79%54154418.835611281940112263310.00%000000.5800011214
13Seth BartonMonsters (CLB)D8252833651205465713248.77%45158419.3324616190011831300100.00%100000.4200000002
14Bode WildeMonsters (CLB)D7111213258500963364132617.19%58125317.66101470011118130100.00%100000.5100000212
15Kale HowarthMonsters (CLB)C/LW82623295013210155366314339.52%27123415.06011537000081059.75%15900000.4700110001
16Brendan WarrenMonsters (CLB)LW717512124054479019577.78%65758.1100001000050065.38%2600000.4200000001
17Luka BurzanMonsters (CLB)C/RW3034761602111235513.04%330710.25000331000010036.36%1100000.4600000001
Statistiques d’équipe totales ou en moyenne12983786661044967111670167813482318662146416.31%4102260617.4258107165338235471017773154631665.28%5449000110.9217364635862
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 TokarskiBlue Jackets71571030.8941.86421601113112340110.8577710013
2Filip LindbergMonsters (CLB)137500.8842.7569801322770100.00%01171100
Statistiques d’équipe totales ou en moyenne84641530.8921.994914012163151102178271113


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
Andrej SustrMonsters (CLB)D321990-11-29No217 Lbs6 ft7NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Bode WildeMonsters (CLB)D232000-01-24Yes192 Lbs6 ft3NoNoNo3Pro & Farm764,167$0$0$No764,167$764,167$Lien / Lien NHL
Brandon BaddockMonsters (CLB)LW281995-03-28No221 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Brendan WarrenMonsters (CLB)LW261997-05-07Yes192 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Cedric PareMonsters (CLB)C241999-01-24Yes212 Lbs6 ft4NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Danila KlimovichMonsters (CLB)C202003-01-09Yes205 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Filip LindbergMonsters (CLB)G241999-01-31Yes194 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Justin KirklandMonsters (CLB)LW261996-08-02No183 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Kale HowarthMonsters (CLB)C/LW261997-06-10Yes201 Lbs6 ft5NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Lauri PajuniemiMonsters (CLB)RW231999-09-12Yes183 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Luka BurzanMonsters (CLB)C/RW232000-01-07Yes183 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Lukas ReichelMonsters (CLB)LW/RW212002-05-17Yes170 Lbs6 ft0NoNoNo3Pro & Farm1,337,500$0$0$No1,337,500$1,337,500$Lien
Mason GeertsenMonsters (CLB)D281995-04-18No215 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nick SeelerMonsters (CLB)D301993-06-03No201 Lbs6 ft2NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Phil Di GiuseppeMonsters (CLB)C/LW/RW291993-10-09No193 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Seth BartonMonsters (CLB)D231999-08-18Yes196 Lbs6 ft3NoNoNo3Pro & Farm832,500$0$0$No832,500$832,500$Lien
T.J. TynanMonsters (CLB)C311992-02-25No165 Lbs5 ft8NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Valtteri PuustinenMonsters (CLB)LW/RW241999-06-04Yes183 Lbs5 ft9NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
William LockwoodMonsters (CLB)RW241998-06-20Yes172 Lbs5 ft11NoNoNo3Pro & Farm842,500$0$0$No842,500$842,500$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1925.53194 Lbs6 ft12.53840,877$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin KirklandT.J. TynanLukas Reichel40122
2Valtteri PuustinenPhil Di GiuseppeWilliam Lockwood30122
3Brandon BaddockDanila KlimovichLauri Pajuniemi20122
4Brendan WarrenKale Howarth10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrej SustrNick Seeler40122
2Mason GeertsenSeth Barton30122
3Bode WildeKale Howarth20122
4Andrej SustrNick Seeler10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin KirklandT.J. TynanLukas Reichel60122
2Valtteri PuustinenPhil Di GiuseppeWilliam Lockwood40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrej SustrNick Seeler60122
2Mason GeertsenSeth Barton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1T.J. TynanJustin Kirkland60122
2Lukas ReichelValtteri Puustinen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrej SustrNick Seeler60122
2Mason GeertsenSeth Barton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1T.J. Tynan60122Andrej SustrNick Seeler60122
2Justin Kirkland40122Mason GeertsenSeth Barton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1T.J. TynanJustin Kirkland60122
2Lukas ReichelValtteri Puustinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrej SustrNick Seeler60122
2Mason GeertsenSeth Barton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin KirklandT.J. TynanLukas ReichelAndrej SustrNick Seeler
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin KirklandT.J. TynanLukas ReichelAndrej SustrNick Seeler
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lauri Pajuniemi, Danila Klimovich, Brandon BaddockLauri Pajuniemi, Danila KlimovichBrandon Baddock
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Bode Wilde, Mason Geertsen, Seth BartonBode WildeMason Geertsen, Seth Barton
Tirs de pénalité
T.J. Tynan, Justin Kirkland, Lukas Reichel, Valtteri Puustinen, Phil Di Giuseppe
Gardien
#1 : , #2 : Filip Lindberg
Lignes d’attaque personnalisées en prolongation
T.J. Tynan, Justin Kirkland, Lukas Reichel, Valtteri Puustinen, Phil Di Giuseppe, William Lockwood, William Lockwood, Lauri Pajuniemi, Danila Klimovich, Brandon Baddock, Kale Howarth
Lignes de défense personnalisées en prolongation
Andrej Sustr, Nick Seeler, Mason Geertsen, Seth Barton, Bode Wilde


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
1 Americans21100000972110000005141010000046-220.50091726001491181048617198357541847151841700.00%8362.50%01471221566.41%1252194464.40%837128365.24%235717281617520972530
2Admirals22000000532110000002111100000032141.00051015001491181048897198357541827816347114.29%80100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
3Barracudas220000001037110000007161100000032141.0001017270014911810488471983575418411127593133.33%70100.00%11471221566.41%1252194464.40%837128365.24%235717281617520972530
4Bears330000002832522000000191181100000092761.00028517901149118104815371983575418411639666233.33%17194.12%01471221566.41%1252194464.40%837128365.24%235717281617520972530
5Bruins21001000633110000003121000100032141.00069150014911810483171983575418491135295120.00%14285.71%01471221566.41%1252194464.40%837128365.24%235717281617520972530
6Canucks430010002114721001000117422000000107381.00021315200149118104875719835754188625608423521.74%28485.71%31471221566.41%1252194464.40%837128365.24%235717281617520972530
7Checkers2200000015411110000007251100000082641.000152742001491181048617198357541827926336233.33%13192.31%11471221566.41%1252194464.40%837128365.24%235717281617520972530
8Comets43100000171072200000010642110000074360.75017294600149118104884719835754187428756223626.09%28485.71%01471221566.41%1252194464.40%837128365.24%235717281617520972530
9Condors310020001129210010009181000100021161.0001122330114911810486371983575418501644699111.11%220100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
10Crunch431000001971221100000642220000001331060.75019335201149118104810571983575418742582871317.69%220100.00%11471221566.41%1252194464.40%837128365.24%235717281617520972530
11Eagles211000009271010000002-21100000090920.50091726011491181048617198357541826103041400.00%150100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
12Firebirds2200000012111110000005141100000070741.00012223401149118104895719835754182491246200.00%60100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
13Griffins41300000811-32020000048-42110000043120.250815230014911810486071983575418822048692229.09%23578.26%01471221566.41%1252194464.40%837128365.24%235717281617520972530
14Gulls210001004311000010012-11100000031230.75048120014911810484071983575418491142554125.00%21195.24%01471221566.41%1252194464.40%837128365.24%235717281617520972530
15Heat22000000844110000005231100000032141.000812200014911810485471983575418451135468450.00%15193.33%01471221566.41%1252194464.40%837128365.24%235717281617520972530
16IceHogs2200000015411110000008261100000072541.000152843001491181048767198357541845728637342.86%14285.71%01471221566.41%1252194464.40%837128365.24%235717281617520972530
17Marlies412000101012-2211000006602010001046-240.50010172700149118104870719835754187516588527311.11%21385.71%01471221566.41%1252194464.40%837128365.24%235717281617520972530
18Moose21001000743100010004311100000031241.000710170014911810484271983575418331424436233.33%110100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
19Penguins3200100012661100000020221001000106461.00012213301149118104895719835754183916235116212.50%9277.78%01471221566.41%1252194464.40%837128365.24%235717281617520972530
20Phantoms321000001192110000005322110000066040.6671117280014911810486271983575418842338631000.00%19384.21%01471221566.41%1252194464.40%837128365.24%235717281617520972530
21Rampage 2200000013013110000005051100000080841.000132235021491181048987198357541816312456116.67%60100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
22Reign3300000014772200000010551100000042261.00014264000149118104896719835754185512386211436.36%19289.47%01471221566.41%1252194464.40%837128365.24%235717281617520972530
23Roadrunners220000001621411000000624110000001001041.0001629450114911810481027198357541828714533266.67%70100.00%11471221566.41%1252194464.40%837128365.24%235717281617520972530
24Rocket42101000111012110000067-12100100053260.750111829001491181048807198357541810827687620210.00%30390.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
25Senators412000011217-520200000411-72100000186230.37512233510149118104869719835754188023637716318.75%26580.77%01471221566.41%1252194464.40%837128365.24%235717281617520972530
26Sound Tigers2200000013112110000006061100000071641.0001323360114911810488371983575418241134479111.11%170100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
27Stars2200000015114110000008081100000071641.00015284301149118104885719835754183572236200.00%90100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
28Thunderbirds220000001257110000005411100000071641.000122133001491181048377198357541840830509444.44%15380.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
29Wild2010010047-31000010023-11010000024-210.2504711001491181048267198357541847536307228.57%18666.67%01471221566.41%1252194464.40%837128365.24%235717281617520972530
30Wolf Pack33000000283251100000012111220000001621461.0002849770114911810481597198357541836823695120.00%80100.00%01471221566.41%1252194464.40%837128365.24%235717281617520972530
31Wolves21100000431110000004131010000002-220.5004711001491181048237198357541839538359111.11%13192.31%01471221566.41%1252194464.40%837128365.24%235717281617520972530
Total82561507211379168211412880320018788994128704011192801121310.799379666104511214911810482319719835754181526417113817063055819.02%4895289.37%71471221566.41%1252194464.40%837128365.24%235717281617520972530
_Since Last GM Reset82561507211379168211412880320018788994128704011192801121310.799379666104511214911810482319719835754181526417113817063055819.02%4895289.37%71471221566.41%1252194464.40%837128365.24%235717281617520972530
_Vs Conference483111040112231151082315701000106614525164030111175463730.7602233846071514911810481224719835754189192667029482103516.67%2903687.59%51471221566.41%1252194464.40%837128365.24%235717281617520972530
_Vs Division261410020118772151367010003942-3138301011483018350.67387153240111491181048513719835754185551454025141191613.45%1592484.91%11471221566.41%1252194464.40%837128365.24%235717281617520972530

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82131OTW137966610452319152641711381706112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8256157211379168
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41288320018788
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41287401119280
Derniers 10 matchs
WLOTWOTL SOWSOL
531100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3055819.02%4895289.37%7
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
719835754181491181048
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
1471221566.41%1252194464.40%837128365.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
235717281617520972530


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
2 - 2023-03-2314Comets3Monsters4BWSommaire du match
4 - 2023-03-2536Monsters6Canucks4AWSommaire du match
5 - 2023-03-2643Monsters9Crunch2AWSommaire du match
7 - 2023-03-2859Canucks2Monsters5BWSommaire du match
8 - 2023-03-2971Monsters2Phantoms3ALSommaire du match
11 - 2023-04-0190Bears0Monsters11BWSommaire du match
13 - 2023-04-03106Rocket4Monsters6BWSommaire du match
16 - 2023-04-06130Crunch4Monsters1BLSommaire du match
17 - 2023-04-07141Monsters2Rocket1AWSommaire du match
19 - 2023-04-09162Senators7Monsters2BLSommaire du match
21 - 2023-04-11174Monsters2Comets3ALSommaire du match
22 - 2023-04-12191Monsters1Griffins2ALSommaire du match
24 - 2023-04-14205Marlies3Monsters4BWSommaire du match
26 - 2023-04-16214Monsters7Wolf Pack0AWSommaire du match
28 - 2023-04-18235Monsters2Senators3ALXXSommaire du match
30 - 2023-04-20249Condors0Monsters7BWSommaire du match
32 - 2023-04-22266Monsters3Griffins1AWSommaire du match
34 - 2023-04-24282Wolves1Monsters4BWSommaire du match
36 - 2023-04-26298Monsters9Eagles0AWSommaire du match
37 - 2023-04-27312Wolf Pack1Monsters12BWSommaire du match
40 - 2023-04-30332Firebirds1Monsters5BWSommaire du match
42 - 2023-05-02348Monsters0Wolves2ALSommaire du match
44 - 2023-05-04361Senators4Monsters2BLSommaire du match
48 - 2023-05-08391Thunderbirds4Monsters5BWSommaire du match
50 - 2023-05-10407Monsters4Reign2AWSommaire du match
51 - 2023-05-11421Gulls2Monsters1BLXSommaire du match
54 - 2023-05-14442Monsters3Moose1AWSommaire du match
55 - 2023-05-15453Penguins0Monsters2BWSommaire du match
58 - 2023-05-18475Monsters7Sound Tigers1AWSommaire du match
59 - 2023-05-19484Bruins1Monsters3BWSommaire du match
61 - 2023-05-21504Monsters9Wolf Pack2AWSommaire du match
63 - 2023-05-23512Monsters7Firebirds0AWSommaire du match
64 - 2023-05-24526Stars0Monsters8BWSommaire du match
67 - 2023-05-27547Admirals1Monsters2BWSommaire du match
68 - 2023-05-28558Monsters3Admirals2AWSommaire du match
71 - 2023-05-31583Sound Tigers0Monsters6BWSommaire du match
73 - 2023-06-02595Monsters2Condors1AWXSommaire du match
75 - 2023-06-04612Monsters8Rampage 0AWSommaire du match
76 - 2023-06-05621Reign2Monsters4BWSommaire du match
79 - 2023-06-08645Monsters4Phantoms3AWSommaire du match
80 - 2023-06-09654Barracudas1Monsters7BWSommaire du match
82 - 2023-06-11676Rampage 0Monsters5BWSommaire du match
84 - 2023-06-13692Monsters4Crunch1AWSommaire du match
86 - 2023-06-15705Monsters4 Americans6ALSommaire du match
88 - 2023-06-17719Crunch0Monsters5BWSommaire du match
91 - 2023-06-20744Eagles2Monsters0BLSommaire du match
94 - 2023-06-23767Monsters7Stars1AWSommaire du match
95 - 2023-06-24777Condors1Monsters2BWXSommaire du match
99 - 2023-06-28798Monsters6Senators3AWSommaire du match
100 - 2023-06-29810Checkers2Monsters7BWSommaire du match
103 - 2023-07-02834Bears1Monsters8BWSommaire du match
105 - 2023-07-04849Monsters4Canucks3AWSommaire du match
107 - 2023-07-06866Monsters10Roadrunners0AWSommaire du match
108 - 2023-07-07875 Americans1Monsters5BWSommaire du match
110 - 2023-07-09892Monsters6Penguins3AWSommaire du match
112 - 2023-07-11903Comets3Monsters6BWSommaire du match
114 - 2023-07-13919Monsters8Checkers2AWSommaire du match
116 - 2023-07-15935Rocket3Monsters0BLSommaire du match
119 - 2023-07-18963Reign3Monsters6BWSommaire du match
120 - 2023-07-19973Monsters9Bears2AWSommaire du match
123 - 2023-07-22994Monsters3Marlies2AWXXSommaire du match
124 - 2023-07-23999IceHogs2Monsters8BWSommaire du match
127 - 2023-07-261023Monsters3Bruins2AWXSommaire du match
128 - 2023-07-271033Moose3Monsters4BWXSommaire du match
130 - 2023-07-291047Monsters7IceHogs2AWSommaire du match
132 - 2023-07-311062Griffins4Monsters1BLSommaire du match
135 - 2023-08-031088Monsters4Penguins3AWXSommaire du match
136 - 2023-08-041099Phantoms3Monsters5BWSommaire du match
138 - 2023-08-061111Monsters2Wild4ALSommaire du match
140 - 2023-08-081128Canucks5Monsters6BWXSommaire du match
143 - 2023-08-111155Heat2Monsters5BWSommaire du match
144 - 2023-08-121167Monsters7Thunderbirds1AWSommaire du match
147 - 2023-08-151187Wild3Monsters2BLXSommaire du match
148 - 2023-08-161199Monsters3Heat2AWSommaire du match
150 - 2023-08-181216Marlies3Monsters2BLSommaire du match
151 - 2023-08-191223Monsters5Comets1AWSommaire du match
153 - 2023-08-211233Monsters3Barracudas2AWSommaire du match
157 - 2023-08-251256Griffins4Monsters3BLSommaire du match
159 - 2023-08-271277Monsters1Marlies4ALSommaire du match
161 - 2023-08-291285Roadrunners2Monsters6BWSommaire du match
162 - 2023-08-301288Monsters3Gulls1AWSommaire du match
163 - 2023-08-311299Monsters3Rocket2AWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance37,76038,801
Assistance PCT46.05%94.64%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1867 - 62.24% 92,098$3,776,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,346,022$ 1,597,667$ 1,597,667$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,624$ 1,646,002$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,841$ 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

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