Manchester Monarchs
GP: 41 | W: 22 | L: 14 | OTL: 5 | P: 49
GF: 204 | GA: 188 | PP%: 30.70% | PK%: 66.36%
DG: Sylvain Lemieux | Morale : 54 | Moyenne d'Équipe : 59
Prochain matchs #636 vs Sherbrooke Phoenix
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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
1Milan LucicX100.0094887870886591734064626025828867676603214,925,000$
2Vladimir SobotkaXX100.0081449179656761577261578225717466616403312,425,000$
3Alexandre Texier (R)XX100.006742908371636764426570602547476952620212897,500$
4Mason AppletonXXX100.006342878072588060365760712555556464610251758,000$
5Tom Kuhnhackl (C)XX100.007644977773595658256060742560636552610291850,000$
6Dmytro TimashovXX100.008645886769527559256059702557576464600241694,444$
7Egor SharangovichX100.008073976473747957715357655444446362590222775,833$
8Brandon Hagel (R)X100.006863816863788458504962605944446263580221880,833$
9Lukas JasekXX100.007468886168717558505161635844446368580232853,333$
10Philipp Kurashev (R)X100.007770926670646659745757645444446251580212842,501$
11Connor BunnamanXX100.007944966475547357565557612545455966570222736,666$
12Andrew PoturalskiXXX100.007469865969616356705650654855555844560271900,000$
13Nicolas Hague (R)X100.008346767882698466256048562547476161630222791,668$
14Ilya LyubushkinX100.009547897076646462254747672555555964630261874,125$
15Karl Alzner (A)X100.0082808667806266512541397337757854756303223,550,000$
16Nick SeelerX100.008194666677586354254747712555565872610271725,000$
17Kevin GravelX100.008380897080525546253440673856575362590281975,000$
18Brady Keeper (R)X100.006672536872626648253942564044445131540241500,001$
Rayé
1Joona Luoto (R)XX100.006742957370466452255055722545456019560232741,667$
2Kirill Maksimov (R)X100.007877816777697550504747634544445620550212775,000$
3Louie Belpedio (R)X100.006569566469768349254241563944445225560241700,000$
4Jake Christiansen (R)X100.007971995871545841252839613744444920530213925,000$
MOYENNE D'ÉQUIPE100.00776285697363705640515365365353605359
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 SP
1Kevin Boyle100.00596482785961526257563044444645590
2Scott Wedgewood100.00526784764855505751513054545464560
Rayé
1Jakub Skarek (R)100.00495265794748505448483044445020520
MOYENNE D'ÉQUIPE100.0053617778515551585252304747504356
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton82848484534990CAN353120,000$


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
1Milan LucicManchester Monarchs (NSH)LW4133457815775577552117413815.64%2279519.415131820911011136244.93%694514021.9602236438
2Mason AppletonManchester Monarchs (NSH)C/LW/RW413037672010059482076311614.49%2077819.0097162295000190144.44%634924011.7200000753
3Egor SharangovichManchester Monarchs (NSH)C41163652139460508574144321.62%3078819.2449138940000193057.80%10451218011.3223345122
4Alexandre TexierManchester Monarchs (NSH)C/LW361630461714105733140368611.43%1360216.743691265000062015.00%404812001.5301011053
5Nicolas HagueManchester Monarchs (NSH)D4172229935586667335399.59%51104025.393585107000466000.00%02728000.5600010022
6Vladimir SobotkaManchester Monarchs (NSH)C/LW41121628-6115485898405712.24%3157814.12000030110822053.97%4412718000.9700010112
7Ilya LyubushkinManchester Monarchs (NSH)D4162127616086636119229.84%75106726.034488105000167000.00%0939000.5100000111
8Philipp KurashevManchester Monarchs (NSH)C3713142752315476263264420.63%1550413.622355380003252356.12%3761317001.0702111202
9Tom KuhnhacklManchester Monarchs (NSH)LW/RW331311245004855100235613.00%1151815.712134380005420233.33%212413000.9300000201
10Dmytro TimashovManchester Monarchs (NSH)LW/RW4181523-44068438426629.52%2262915.340330420000570124.49%492122000.7300000010
11Brandon HagelManchester Monarchs (NSH)LW419918-53315574575305312.00%1758314.240111120111370140.00%20148000.6236012000
12Karl AlznerManchester Monarchs (NSH)D4111415101238561835435261.85%6891822.40011163000084000.00%0838000.3300548010
13Lukas JasekManchester Monarchs (NSH)C/RW367512-3115373644183115.91%639510.9801104000032038.46%13156000.6113001011
14Connor BunnamanManchester Monarchs (NSH)C/LW377512-175271435102320.00%43349.0500000000001043.75%4854000.7200001000
15Brad HuntPredatorsD16279-20031315101113.33%1728818.02000011000118010.00%056000.6200000000
16Jordan WealPredatorsC/LW/RW454980049208525.00%08822.01000310000030050.00%12262002.0401000100
17Andrew PoturalskiManchester Monarchs (NSH)C/LW/RW23369-455342427101911.11%926911.71011030000150145.95%3728000.6711001000
18Kevin GravelManchester Monarchs (NSH)D41066126203742268100.00%3155813.6200008000024000.00%0220000.2100121000
19Nick SeelerManchester Monarchs (NSH)D4106681848078593419270.00%5585120.76000256000160000.00%01032000.1400439000
20Joona LuotoManchester Monarchs (NSH)LW/RW6022-700036450.00%3549.100000000000000.00%121000.7300000000
21Kirill MaksimovManchester Monarchs (NSH)RW3000-455110000.00%23712.6300000000000025.00%403000.0000001000
22Brady KeeperManchester Monarchs (NSH)D150000951779160.00%618812.570000100001000.00%012000.0000010000
23Louie BelpedioManchester Monarchs (NSH)D12000095830140.00%415212.680000000000000.00%003000.0000010000
Stats d'équipe Total ou en Moyenne70918831149981696380990907145651088312.91%5121202516.963255879185612318640181253.21%2349345338040.83719162337192225
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
1Scott WedgewoodManchester Monarchs (NSH)2214520.8924.2012730089821510300.700102120000
2Kevin BoyleManchester Monarchs (NSH)105230.8764.206150043347203000.33391012010
3Jonas JohanssonPredators113600.8604.855570045322169021.000399000
4Connor IngramPredators10100.8685.00600053817000.000010000
Stats d'équipe Total ou en Moyenne44221450.8814.362506001821528899320.591224141010


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexandre TexierManchester Monarchs (NSH)C/LW211999-09-13 06:08:55Yes192 Lbs6 ft1NoNoNo2Pro & Farm897,500$0$0$No897,500$Lien
Andrew PoturalskiManchester Monarchs (NSH)C/LW/RW271994-01-14No190 Lbs5 ft11YesNoNo1Pro & Farm900,000$0$0$NoLien
Brady KeeperManchester Monarchs (NSH)D241996-06-05Yes194 Lbs6 ft2NoNoNo1Pro & Farm500,001$0$0$NoLien
Brandon HagelManchester Monarchs (NSH)LW221998-08-26Yes174 Lbs5 ft11NoNoNo1Pro & Farm880,833$0$0$NoLien
Connor BunnamanManchester Monarchs (NSH)C/LW221998-04-16No207 Lbs6 ft1NoNoNo2Pro & Farm736,666$0$0$No736,666$Lien
Dmytro TimashovManchester Monarchs (NSH)LW/RW241996-09-30No195 Lbs5 ft10NoNoNo1Pro & Farm694,444$0$0$NoLien
Egor SharangovichManchester Monarchs (NSH)C221998-06-06No196 Lbs6 ft2NoNoNo2Pro & Farm775,833$0$0$No775,833$Lien
Ilya LyubushkinManchester Monarchs (NSH)D261994-04-06No209 Lbs6 ft2NoNoNo1Pro & Farm874,125$0$0$NoLien
Jake ChristiansenManchester Monarchs (NSH)D211999-09-12Yes194 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Jakub SkarekManchester Monarchs (NSH)G211999-11-10Yes196 Lbs6 ft3NoNoNo3Pro & Farm778,333$0$0$No778,333$778,333$
Joona LuotoManchester Monarchs (NSH)LW/RW231997-09-26Yes185 Lbs6 ft2NoNoNo2Pro & Farm741,667$0$0$No741,667$Lien
Karl Alzner (Contrat à 1 Volet)Manchester Monarchs (NSH)D321988-09-24No217 Lbs6 ft3NoNoNo2Farm Only3,550,000$3,550,000$1,893,333$No4,625,000$Lien
Kevin BoyleManchester Monarchs (NSH)G281992-05-29No200 Lbs6 ft2NoNoNo1Pro & Farm775,000$0$0$NoLien
Kevin GravelManchester Monarchs (NSH)D281992-03-06No212 Lbs6 ft4YesNoNo1Pro & Farm975,000$0$0$NoLien
Kirill MaksimovManchester Monarchs (NSH)RW211999-06-01Yes207 Lbs6 ft3NoNoNo2Pro & Farm775,000$0$0$No775,000$
Louie BelpedioManchester Monarchs (NSH)D241996-05-14Yes193 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Lukas JasekManchester Monarchs (NSH)C/RW231997-08-28No183 Lbs6 ft1NoNoNo2Pro & Farm853,333$0$0$No853,333$Lien
Mason AppletonManchester Monarchs (NSH)C/LW/RW251996-01-15No193 Lbs6 ft2NoNoNo1Pro & Farm758,000$0$0$NoLien
Milan Lucic (Contrat à 1 Volet)Manchester Monarchs (NSH)LW321988-06-06No236 Lbs6 ft3NoNoNo1Farm Only4,925,000$4,925,000$2,626,667$NoLien
Nick SeelerManchester Monarchs (NSH)D271993-06-02No200 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$NoLien
Nicolas HagueManchester Monarchs (NSH)D221998-12-05Yes214 Lbs6 ft6NoNoNo2Pro & Farm791,668$0$0$No791,668$Lien
Philipp KurashevManchester Monarchs (NSH)C211999-10-12Yes192 Lbs6 ft0NoNoNo2Pro & Farm842,501$0$0$No842,501$
Scott WedgewoodManchester Monarchs (NSH)G281992-08-14No195 Lbs6 ft2YesNoNo1Pro & Farm1,400,000$0$0$NoLien
Tom KuhnhacklManchester Monarchs (NSH)LW/RW291992-01-21No196 Lbs6 ft2NoNoNo1Pro & Farm850,000$0$0$NoLien
Vladimir Sobotka (Contrat à 1 Volet)Manchester Monarchs (NSH)C/LW331987-07-02No184 Lbs5 ft10NoNoNo1Farm Only2,425,000$2,425,000$1,293,333$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2525.04198 Lbs6 ft11.521,161,996$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Milan LucicEgor SharangovichMason Appleton33014
2Alexandre TexierPhilipp KurashevTom Kuhnhackl29014
3Brandon HagelVladimir SobotkaDmytro Timashov24023
4Andrew PoturalskiConnor BunnamanLukas Jasek14131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nicolas HagueIlya Lyubushkin41113
2Karl AlznerNick Seeler39113
3Kevin GravelBrady Keeper20131
4Karl AlznerNick Seeler0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Milan LucicEgor SharangovichMason Appleton65005
2Alexandre TexierPhilipp KurashevTom Kuhnhackl35005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nicolas HagueIlya Lyubushkin60113
2Karl AlznerNick Seeler40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Vladimir SobotkaDmytro Timashov60140
2Philipp KurashevTom Kuhnhackl40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Karl AlznerNick Seeler55140
2Nicolas HagueIlya Lyubushkin45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Vladimir Sobotka60050Karl AlznerNick Seeler60140
2Philipp Kurashev40050Nicolas HagueIlya Lyubushkin40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Egor SharangovichMilan Lucic60005
2Philipp KurashevAlexandre Texier40005
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nicolas HagueIlya Lyubushkin55113
2Kevin GravelBrady Keeper45113
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Milan LucicEgor SharangovichMason AppletonNicolas HagueIlya Lyubushkin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexandre TexierPhilipp KurashevTom KuhnhacklKarl AlznerNick Seeler
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Egor Sharangovich, Dmytro Timashov, Milan LucicDmytro Timashov, Milan LucicBrandon Hagel
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Karl Alzner, Ilya Lyubushkin, Nicolas HagueKevin GravelNicolas Hague, Karl Alzner
Tirs de Pénalité
Brandon Hagel, Lukas Jasek, Egor Sharangovich, Kevin Gravel, Karl Alzner
Gardien
#1 : Scott Wedgewood, #2 : Kevin Boyle


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
LigueDomicileVisiteur
# 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
1Boisbriand Armada220000001293110000007611100000053241.000121931004789629694675285003177507539500.00%5180.00%048190553.15%46485854.08%40777252.72%883489844386779391
2Brampton Battalion3110100012120110000005322010100079-240.667121628004789629110467528500311142934649111.11%7185.71%048190553.15%46485854.08%40777252.72%883489844386779391
3Bridgeport Sound Tigers301000201314-12000002011921010000025-340.667132033004789629116467528500311224627729222.22%6266.67%048190553.15%46485854.08%40777252.72%883489844386779391
4Calgary Hitman21100000981000000000002110000098120.500914231047896297046752850031721827497342.86%6350.00%048190553.15%46485854.08%40777252.72%883489844386779391
5Chicoutimi Sagueneens11000000752000000000001100000075221.00071118004789629404675285003131126293266.67%3233.33%048190553.15%46485854.08%40777252.72%883489844386779391
6Drummondville Voltigeurs210000018531000000123-11100000062430.750815230047896298046752850031622135545240.00%50100.00%048190553.15%46485854.08%40777252.72%883489844386779391
7Hartford Wolf Pack11000000734000000000001100000073421.00071320004789629484675285003135819305240.00%2150.00%048190553.15%46485854.08%40777252.72%883489844386779391
8Las Vegas Wranglers20100001711-41000000134-11010000047-310.25071118004789629564675285003190364337200.00%40100.00%048190553.15%46485854.08%40777252.72%883489844386779391
9Laval Rockets1010000035-21010000035-20000000000000.000369004789629374675285003138172028200.00%5260.00%048190553.15%46485854.08%40777252.72%883489844386779391
10London Knights21100000121111100000010461010000027-520.5001217290047896298146752850031622960464125.00%5420.00%048190553.15%46485854.08%40777252.72%883489844386779391
11Lowell Devils1010000047-3000000000001010000047-300.000471100478962941467528500313385285120.00%000.00%048190553.15%46485854.08%40777252.72%883489844386779391
12Milwaukee Admirals421010002114711000000734311010001411360.7502134551047896291294675285003190297112714535.71%13376.92%148190553.15%46485854.08%40777252.72%883489844386779391
13Philadelphia Phantoms10000010541100000105410000000000021.00056110047896294146752850031451518262150.00%4175.00%048190553.15%46485854.08%40777252.72%883489844386779391
14Portland Pirates302000101217-51010000037-420100010910-120.333121830004789629117467528500311143234779555.56%12558.33%048190553.15%46485854.08%40777252.72%883489844386779391
15Rimouski Oceanic11000000541110000005410000000000021.000561100478962930467528500314414725300.00%10100.00%048190553.15%46485854.08%40777252.72%883489844386779391
16Rochester Americans54100000331914321000001912722000000147780.800335790004789629174467528500311876012714117317.65%11554.55%048190553.15%46485854.08%40777252.72%883489844386779391
17Seattle Thunderbirds1010000035-21010000035-20000000000000.0003690047896293646752850031431623272150.00%4175.00%048190553.15%46485854.08%40777252.72%883489844386779391
18Texas Stars1010000014-31010000014-30000000000000.0001230047896294846752850031371793011100.00%20100.00%048190553.15%46485854.08%40777252.72%883489844386779391
19Victoriaville Tigres511001023031-13100010120164201000011015-550.5003047770047896291844675285003123462608210550.00%15660.00%048190553.15%46485854.08%40777252.72%883489844386779391
Total41161402144204188162085001331048915218902011100991490.598204325529204789629150746752850031153051970010111143530.70%1103766.36%148190553.15%46485854.08%40777252.72%883489844386779391
_Since Last GM Reset41161402144204188162085001331048915218902011100991490.598204325529204789629150746752850031153051970010111143530.70%1103766.36%148190553.15%46485854.08%40777252.72%883489844386779391
_Vs Conference2813802104148127211271001037351221667020017576-1350.625148237385204789629994467528500311021342537667782126.92%712367.61%148190553.15%46485854.08%40777252.72%883489844386779391
_Vs Division1373011036473-9741001023436-2632010013037-7200.769649916300478962946446752850031551173170278291241.38%401562.50%048190553.15%46485854.08%40777252.72%883489844386779391

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4149L120432552915071530519700101120
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4116142144204188
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2085013310489
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2189201110099
Derniers 10 Matchs
WLOTWOTL SOWSOL
252010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1143530.70%1103766.36%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
467528500314789629
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
48190553.15%46485854.08%40777252.72%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
883489844386779391


Derniers Match 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 - 2020-11-109Manchester Monarchs9Rochester Americans5WSommaire du Match
2 - 2020-11-1119Rochester Americans6Manchester Monarchs3LSommaire du Match
4 - 2020-11-1336Drummondville Voltigeurs3Manchester Monarchs2LXXSommaire du Match
7 - 2020-11-1659Manchester Monarchs6Drummondville Voltigeurs2WSommaire du Match
8 - 2020-11-1768Brampton Battalion3Manchester Monarchs5WSommaire du Match
10 - 2020-11-1982Manchester Monarchs5Rochester Americans2WSommaire du Match
11 - 2020-11-2095Manchester Monarchs6Milwaukee Admirals2WSommaire du Match
13 - 2020-11-22109Manchester Monarchs7Chicoutimi Sagueneens5WSommaire du Match
14 - 2020-11-23121Las Vegas Wranglers4Manchester Monarchs3LXXSommaire du Match
15 - 2020-11-24137Manchester Monarchs5Victoriaville Tigres6LXXSommaire du Match
17 - 2020-11-26152Victoriaville Tigres5Manchester Monarchs4LXXSommaire du Match
18 - 2020-11-27165Manchester Monarchs3Brampton Battalion6LSommaire du Match
21 - 2020-11-30185Rochester Americans2Manchester Monarchs5WSommaire du Match
22 - 2020-12-01202Manchester Monarchs5Boisbriand Armada3WSommaire du Match
23 - 2020-12-02213Bridgeport Sound Tigers4Manchester Monarchs5WXXSommaire du Match
26 - 2020-12-05234Victoriaville Tigres5Manchester Monarchs4LXSommaire du Match
28 - 2020-12-07252Manchester Monarchs5Victoriaville Tigres9LSommaire du Match
29 - 2020-12-08264Victoriaville Tigres6Manchester Monarchs12WSommaire du Match
31 - 2020-12-10283Manchester Monarchs2Calgary Hitman4LSommaire du Match
33 - 2020-12-12294Manchester Monarchs1Milwaukee Admirals3LSommaire du Match
34 - 2020-12-13307Boisbriand Armada6Manchester Monarchs7WSommaire du Match
36 - 2020-12-15325London Knights4Manchester Monarchs10WSommaire du Match
38 - 2020-12-17340Manchester Monarchs2Bridgeport Sound Tigers5LSommaire du Match
40 - 2020-12-19359Portland Pirates7Manchester Monarchs3LSommaire du Match
42 - 2020-12-21374Manchester Monarchs7Hartford Wolf Pack3WSommaire du Match
43 - 2020-12-22387Manchester Monarchs5Portland Pirates4WXXSommaire du Match
44 - 2020-12-23399Texas Stars4Manchester Monarchs1LSommaire du Match
47 - 2020-12-26422Rimouski Oceanic4Manchester Monarchs5WSommaire du Match
49 - 2020-12-28438Manchester Monarchs7Calgary Hitman4WSommaire du Match
50 - 2020-12-29444Manchester Monarchs4Lowell Devils7LSommaire du Match
52 - 2020-12-31463Bridgeport Sound Tigers5Manchester Monarchs6WXXSommaire du Match
54 - 2021-01-02478Manchester Monarchs4Las Vegas Wranglers7LSommaire du Match
56 - 2021-01-04494Philadelphia Phantoms4Manchester Monarchs5WXXSommaire du Match
58 - 2021-01-06514Seattle Thunderbirds5Manchester Monarchs3LSommaire du Match
59 - 2021-01-07523Manchester Monarchs2London Knights7LSommaire du Match
61 - 2021-01-09540Manchester Monarchs4Portland Pirates6LSommaire du Match
62 - 2021-01-10552Rochester Americans4Manchester Monarchs11WSommaire du Match
64 - 2021-01-12569Manchester Monarchs4Brampton Battalion3WXSommaire du Match
66 - 2021-01-14587Milwaukee Admirals3Manchester Monarchs7WSommaire du Match
67 - 2021-01-15600Manchester Monarchs7Milwaukee Admirals6WXSommaire du Match
69 - 2021-01-17616Laval Rockets5Manchester Monarchs3LSommaire du Match
71 - 2021-01-19636Sherbrooke Phoenix-Manchester Monarchs-
72 - 2021-01-20646Manchester Monarchs-Drummondville Voltigeurs-
75 - 2021-01-23667Manchester Monarchs-Sherbrooke Phoenix-
76 - 2021-01-24677Binghampton Senators-Manchester Monarchs-
78 - 2021-01-26694Manchester Monarchs-Victoriaville Tigres-
79 - 2021-01-27709Manchester Monarchs-London Knights-
80 - 2021-01-28714Toronto Marlies-Manchester Monarchs-
82 - 2021-01-30739Binghampton Senators-Manchester Monarchs-
84 - 2021-02-01760Calgary Hitman-Manchester Monarchs-
85 - 2021-02-02773Manchester Monarchs-Drummondville Voltigeurs-
88 - 2021-02-05791Worcester Sharks-Manchester Monarchs-
89 - 2021-02-06806Manchester Monarchs-Chicoutimi Sagueneens-
90 - 2021-02-07815Manchester Monarchs-Hershey Bears-
92 - 2021-02-09834Lake Erie Monsters-Manchester Monarchs-
93 - 2021-02-10843Manchester Monarchs-Boisbriand Armada-
95 - 2021-02-12861Chicago Wolves-Manchester Monarchs-
98 - 2021-02-15880Manchester Monarchs-Grand Rapids Griffins-
99 - 2021-02-16888Manchester Monarchs-Rochester Americans-
100 - 2021-02-17899Portland Pirates-Manchester Monarchs-
103 - 2021-02-20921Manchester Monarchs-Chicoutimi Sagueneens-
104 - 2021-02-21929Toronto Marlies-Manchester Monarchs-
106 - 2021-02-23952Manchester Monarchs-Toronto Marlies-
107 - 2021-02-24960Quebec Rempart-Manchester Monarchs-
110 - 2021-02-27984Manchester Monarchs-Rimouski Oceanic-
111 - 2021-02-28991Sherbrooke Phoenix-Manchester Monarchs-
112 - 2021-03-011002Manchester Monarchs-Lake Erie Monsters-
114 - 2021-03-031023Manitoba Moose-Manchester Monarchs-
116 - 2021-03-051047Manchester Monarchs-Peoria Riverman-
117 - 2021-03-061050Manchester Monarchs-Rochester Americans-
118 - 2021-03-071060Drummondville Voltigeurs-Manchester Monarchs-
120 - 2021-03-091084Brampton Battalion-Manchester Monarchs-
122 - 2021-03-111100Manchester Monarchs-Brampton Battalion-
123 - 2021-03-121114Las Vegas Wranglers-Manchester Monarchs-
127 - 2021-03-161144Drummondville Voltigeurs-Manchester Monarchs-
129 - 2021-03-181167Rochester Americans-Manchester Monarchs-
130 - 2021-03-191175Manchester Monarchs-Seattle Thunderbirds-
132 - 2021-03-211191Manchester Monarchs-Binghampton Senators-
134 - 2021-03-231203Manchester Monarchs-Lake Erie Monsters-
135 - 2021-03-241209Brampton Battalion-Manchester Monarchs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2021-03-281240Lowell Devils-Manchester Monarchs-
142 - 2021-03-311257Lowell Devils-Manchester Monarchs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3012
Assistance37,81219,077
Assistance PCT94.53%95.39%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
21 2844 - 94.82% 102,292$2,045,841$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
968,443$ 1,814,990$ 1,804,990$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 968,443$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,148,133$ 75 13,345$ 1,000,875$




LigueDomicileVisiteur
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