Marlies
GP: 82 | W: 23 | L: 51 | OTL: 8 | P: 54
GF: 167 | GA: 232 | PP%: 12.28% | PK%: 86.26%
DG: Danick Lépine | Morale : 50 | Moyenne d'Équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Brendan LeipsicXX100.00735292716553796438615763256363625000264700,000$
2Brett HowdenXXX100.00754387807264855875626481255959695000222863,333$
3Filip ChytilXXX100.005940948266688969726274612559597051002041,244,166$
4Gabriel BourqueXX100.00894695757252715735585666416971635000292866,000$
5Dmytro Timashov (R)X100.00864588676952755925605970255757645000233836,111$
6Jeremy Bracco (R)X100.00746498606473776150714764454747605000233925,000$
7Steven FogartyXX100.00797783627781866379626067574545655000273708,750$
8Andrew Nielsen (R)X100.00757967627956604625353963375555505000233921,666$
9Ben ThomasX100.00756988656972795025414164395555555000242700,000$
10Erik CernakX100.00915675807676845925494989256263652100232890,000$
11Ian McCoshenX100.007680666080707747253740623850505150002421,024,999$
12Nikita ZadorovX100.009258728287748460255148792565666350002533,200,000$
13Josh MorrisseyX100.006542888671867972256949692564666535002521,363,333$
14Moritz Seider (R)X100.008078836778575952255040643844445550001931,775,000$
15Travis DermottX100.00795681827872775925504972255859615000232863,333$
16Bode Wilde (R)X100.00777385607356604525353961374444515000203910,833$
Rayé
MOYENNE D'ÉQUIPE100.0078608471746676583753516833565661470
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
1Cayden Primeau (R)100.0060658173586559656362304444625000
2Pheonix Copley100.0057597483555859645959304646595000
Rayé
MOYENNE D'ÉQUIPE100.005962787857625965616130454561500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Quenneville72718481908455CAN6336,000,000$


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
1Gabriel BourqueMarlies (TOR)LW/RW82242751-1610802171712296215910.48%25164220.03813216332220282464242.34%11100000.6206000723
2Jeremy BraccoMarlies (TOR)RW82152641-13635135124120409512.50%15130015.86481223241000002249.80%24700000.6311010422
3Dmytro TimashovMarlies (TOR)LW82211940-431180185162221611429.50%23124315.16861418920000123127.12%5900000.6401000253
4Moritz SeiderMarlies (TOR)D8273037-15156201646268305110.29%76164220.0351520533220000277000.00%000000.4501112111
5Travis DermottMarlies (TOR)D5892534-8700995910236738.82%54122021.045813862270221220400.00%000000.5600000131
6Brendan LeipsicMarlies (TOR)LW/RW82181432-186001071291724112010.47%12138816.9365113124000021130238.05%22600100.4626000425
7Andrew NielsenMarlies (TOR)D8251722-1811420154465320399.43%69134216.374610412360002241010.00%200000.3311112011
8Bode WildeMarlies (TOR)D8211920-15900105433413282.94%66132616.18189262300110232010.00%000000.3001000002
9Brett HowdenMarlies (TOR)C/LW/RW1886149260283455162714.55%935319.6730310720110362060.71%2800000.7901000022
10Filip ChytilMarlies (TOR)C/LW/RW18851380065245152617.78%136820.480115721015431152.86%36700010.7103000221
11Nikita ZadorovMarlies (TOR)D181111204355223238154.35%2037921.061341774000067100.00%000000.6300000021
12Bobby RyanMaple LeafsRW125384160202135132014.29%025621.381127481011500160.00%2000000.6202000001
13Kailer YamamotoMaple LeafsRW835826022151941215.79%118823.590334340001360031.76%8500000.8501000201
14Steven FogartyMarlies (TOR)C/RW18415-2155192622101818.18%427215.16112780000021058.87%26500000.3700010001
15Ben ThomasMarlies (TOR)D18134314020464316.67%1021712.0810141600003010.00%000000.3700000100
16Ian McCoshenMarlies (TOR)D1804432954232110.00%822612.5900000000138000.00%000000.3500001000
17Josh MorrisseyMarlies (TOR)D2011000000170.00%24723.6301101100006000.00%000000.4200000000
Stats d'équipe Total ou en Moyenne762130216346-119928601375974120637583610.78%3951341717.6148791273952325448211631181248.09%141000110.52424245242225
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
1Cayden PrimeauMarlies (TOR)82235180.8812.7647244121718200620.69733820245
2Pheonix CopleyMarlies (TOR)10000.8753.7532002160000.0000018000
Stats d'équipe Total ou en Moyenne83235180.8812.7647564121918360620.697338218245


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap 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
Andrew NielsenMarlies (TOR)D231996-11-13Yes210 Lbs6 ft3NoNoNo3Pro & Farm921,666$7,433$921,666$7,433$0$0$No921,666$921,666$
Ben ThomasMarlies (TOR)D241996-05-27No187 Lbs6 ft1NoNoNo2Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$Lien
Bode WildeMarlies (TOR)D202000-01-24Yes192 Lbs6 ft3NoNoNo3Pro & Farm910,833$7,345$910,833$7,345$0$0$No910,833$910,833$
Brendan LeipsicMarlies (TOR)LW/RW261994-05-19No180 Lbs5 ft10NoNoNo4Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$700,000$Lien
Brett HowdenMarlies (TOR)C/LW/RW221998-03-29No193 Lbs6 ft2NoNoNo2Pro & Farm863,333$6,962$450,000$3,629$0$0$No863,333$Lien
Cayden PrimeauMarlies (TOR)G201999-08-11Yes181 Lbs6 ft3NoNoNo3Pro & Farm966,666$7,796$966,666$7,796$0$0$No966,666$966,666$
Dmytro TimashovMarlies (TOR)LW231996-09-30Yes195 Lbs5 ft10NoNoNo3Pro & Farm836,111$6,743$836,111$6,743$0$0$No836,111$836,111$
Erik CernakMarlies (TOR)D231997-05-28No203 Lbs6 ft3NoNoNo2Pro & Farm890,000$7,177$450,000$3,629$0$0$No890,000$Lien
Filip ChytilMarlies (TOR)C/LW/RW201999-09-05No178 Lbs6 ft1NoNoNo4Pro & Farm1,244,166$10,034$894,166$7,211$0$0$No1,244,166$1,244,166$1,244,166$Lien
Gabriel BourqueMarlies (TOR)LW/RW291990-09-23No206 Lbs5 ft10NoNoNo2Pro & Farm866,000$6,984$866,000$6,984$0$0$No866,000$Lien
Ian McCoshenMarlies (TOR)D241995-08-05No217 Lbs6 ft3NoNoNo2Pro & Farm1,024,999$8,266$1,024,999$8,266$0$0$No1,024,999$Lien
Jeremy BraccoMarlies (TOR)RW231997-03-17Yes180 Lbs5 ft9NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Josh MorrisseyMarlies (TOR)D251995-03-28No195 Lbs6 ft0NoNoNo2Pro & Farm1,363,333$10,995$1,363,333$10,995$0$0$No1,363,333$Lien
Moritz SeiderMarlies (TOR)D192001-04-06Yes207 Lbs6 ft4NoNoNo3Pro & Farm1,775,000$14,315$1,775,000$14,315$0$0$No1,775,000$1,775,000$
Nikita ZadorovMarlies (TOR)D251995-04-15No230 Lbs6 ft5NoNoNo3Pro & Farm3,200,000$25,806$3,200,000$25,806$0$0$No3,200,000$3,200,000$Lien
Pheonix CopleyMarlies (TOR)G281992-01-18No200 Lbs6 ft4NoNoNo2Pro & Farm650,000$5,242$650,000$5,242$0$0$No650,000$Lien
Steven FogartyMarlies (TOR)C/RW271993-04-18No206 Lbs6 ft3NoNoNo3Pro & Farm708,750$5,716$708,750$5,716$0$0$No708,750$708,750$Lien
Travis DermottMarlies (TOR)D231996-12-21No215 Lbs6 ft0NoNoNo2Pro & Farm863,333$6,962$863,333$6,962$0$0$No863,333$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1823.56199 Lbs6 ft12.671,078,288$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett HowdenFilip Chytil35122
2Gabriel BourqueSteven Fogarty30122
3Dmytro TimashovJeremy BraccoBrendan Leipsic25122
4Jeremy Bracco10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita Zadorov35122
2Travis DermottMoritz Seider30122
3Ben ThomasIan McCoshen25122
4Andrew NielsenBode Wilde10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett HowdenFilip Chytil60122
2Gabriel BourqueSteven Fogarty40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita Zadorov60122
2Travis DermottMoritz Seider40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Filip ChytilBrett Howden40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita Zadorov60122
2Travis DermottMoritz Seider40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Nikita Zadorov60122
240122Travis DermottMoritz Seider40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Filip ChytilBrett Howden40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita Zadorov60122
2Travis DermottMoritz Seider40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett HowdenFilip ChytilNikita Zadorov
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett HowdenFilip ChytilNikita Zadorov
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dmytro Timashov, Brendan Leipsic, Gabriel BourqueDmytro Timashov, Brendan LeipsicGabriel Bourque
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Thomas, Ian McCoshen, Andrew NielsenBen ThomasIan McCoshen, Andrew Nielsen
Tirs de Pénalité
, , Filip Chytil, Brett Howden, Gabriel Bourque
Gardien
#1 : Cayden Primeau, #2 : Pheonix Copley


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
1Admirals51300001812-43120000067-12010000125-330.3008152310615449799506492486461002286803113.23%33584.85%0867213940.53%961255337.64%446114239.05%179812272207620966455
2Bruins824000111920-141200001910-1412000101010070.43819345300615449716150649248646176689515241512.20%45882.22%0867213940.53%961255337.64%446114239.05%179812272207620966455
3Condors22000000624110000004221100000020241.0006111701615449730506492486464114243310110.00%10190.00%0867213940.53%961255337.64%446114239.05%179812272207620966455
4Crunch806000111226-1440300001613-740300010613-730.1881220320061544971575064924864620571981853738.11%42588.10%0867213940.53%961255337.64%446114239.05%179812272207620966455
5Flames2020000047-31010000013-21010000034-100.00046100061544973750649248646431020329111.11%9277.78%0867213940.53%961255337.64%446114239.05%179812272207620966455
6Griffins834001002227-54220000012120412001001015-570.438224264006154497143506492486462415912617537718.92%59984.75%2867213940.53%961255337.64%446114239.05%179812272207620966455
7IceHogs2020000024-21010000012-11010000012-100.000235006154497395064924864633636471200.00%13284.62%1867213940.53%961255337.64%446114239.05%179812272207620966455
8Monarchs2110000034-1110000003211010000002-220.500369006154497395064924864642123448500.00%16381.25%1867213940.53%961255337.64%446114239.05%179812272207620966455
9Monsters32100000871110000003212110000055040.6678132100615449748506492486465522625619421.05%24291.67%0867213940.53%961255337.64%446114239.05%179812272207620966455
10Moose20100010550100000104311010000012-120.50057120061544973850649248646546243711327.27%12191.67%0867213940.53%961255337.64%446114239.05%179812272207620966455
11Penguins41300000811-32020000068-22110000023-120.2508132100615449780506492486467824368029310.34%160100.00%1867213940.53%961255337.64%446114239.05%179812272207620966455
12Phantoms3120000069-3110000003212020000037-420.333691500615449765506492486466728305021314.29%15193.33%0867213940.53%961255337.64%446114239.05%179812272207620966455
13Rampage21100000972110000006241010000035-220.5009152410615449749506492486466020313114535.71%13376.92%0867213940.53%961255337.64%446114239.05%179812272207620966455
14Rocket834000011114-34220000056-14120000168-270.438111930006154497118506492486461494411214047510.64%42392.86%0867213940.53%961255337.64%446114239.05%179812272207620966455
15Senators826000001423-9422000001010040400000413-940.25014243800615449713950649248646192421061594349.30%50884.00%0867213940.53%961255337.64%446114239.05%179812272207620966455
16Sharks21100000651110000003121010000034-120.500611170061544972750649248646431623291119.09%8362.50%0867213940.53%961255337.64%446114239.05%179812272207620966455
17Soldiers20200000311-81010000014-31010000027-500.0003580061544972650649248646541325359111.11%100100.00%0867213940.53%961255337.64%446114239.05%179812272207620966455
18Sound Tigers40300001412-82020000027-52010000125-310.1254610006154497755064924864611034469725312.00%21480.95%0867213940.53%961255337.64%446114239.05%179812272207620966455
19Stars2010000157-21000000134-11010000023-110.2505914006154497345064924864651620471317.69%8187.50%0867213940.53%961255337.64%446114239.05%179812272207620966455
20Wolf Pack30300000611-52020000047-31010000024-200.0006101600615449752506492486467217306716318.75%15193.33%0867213940.53%961255337.64%446114239.05%179812272207620966455
21Wolves2010010068-21010000034-11000010034-110.250611170061544974050649248646541929428112.50%12375.00%0867213940.53%961255337.64%446114239.05%179812272207620966455
Total82205100236167232-654114230001395111-16416280022372121-49540.3291672894562161544971496506492486461920553109316224485512.28%4736586.26%5867213940.53%961255337.64%446114239.05%179812272207620966455
_Since Last GM Reset82205100236167232-654114230001395111-16416280022372121-49540.3291672894562161544971496506492486461920553109316224485512.28%4736586.26%5867213940.53%961255337.64%446114239.05%179812272207620966455
_Vs Conference4711310002388128-4023714000024761-1424417000214167-26290.309881482360061544978575064924864610373265899212623111.83%2583088.37%1867213940.53%961255337.64%446114239.05%179812272207620966455
_Vs Division407200002378110-322059000024251-920211000213659-23210.26378139217006154497718506492486469632845378112052411.71%2383386.13%2867213940.53%961255337.64%446114239.05%179812272207620966455

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8254SOL1167289456149619205531093162221
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8220510236167232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
411423001395111
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41628022372121
Derniers 10 Matchs
WLOTWOTL SOWSOL
440002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4485512.28%4736586.26%5
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
506492486466154497
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
867213940.53%961255337.64%446114239.05%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
179812272207620966455


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 - 2020-09-2710Marlies1Monsters2LSommaire du Match
2 - 2020-09-2818Crunch4Marlies3LSommaire du Match
4 - 2020-09-3028Marlies2Griffins3LXSommaire du Match
5 - 2020-10-0135Rocket2Marlies1LSommaire du Match
6 - 2020-10-0251Marlies1Senators3LSommaire du Match
8 - 2020-10-0456Griffins5Marlies2LSommaire du Match
10 - 2020-10-0671Senators1Marlies2WSommaire du Match
13 - 2020-10-0987Marlies1Crunch3LSommaire du Match
14 - 2020-10-1095Marlies0Senators2LSommaire du Match
16 - 2020-10-12101Rocket1Marlies2WSommaire du Match
18 - 2020-10-14119Griffins3Marlies1LSommaire du Match
21 - 2020-10-17130Marlies1Rocket2LSommaire du Match
22 - 2020-10-18141Crunch4Marlies0LSommaire du Match
23 - 2020-10-19151Marlies3Bruins2WXXSommaire du Match
24 - 2020-10-20161Admirals3Marlies2LSommaire du Match
25 - 2020-10-21166Marlies1Rocket2LSommaire du Match
27 - 2020-10-23184Penguins3Marlies2LSommaire du Match
28 - 2020-10-24195Marlies3Wolves4LXSommaire du Match
30 - 2020-10-26205Marlies2Penguins1WSommaire du Match
32 - 2020-10-28214Soldiers4Marlies1LSommaire du Match
34 - 2020-10-30228Marlies1Rocket2LXXSommaire du Match
36 - 2020-11-01236Moose3Marlies4WXXSommaire du Match
38 - 2020-11-03249Admirals2Marlies4WSommaire du Match
40 - 2020-11-05260Marlies2Wolf Pack4LSommaire du Match
42 - 2020-11-07269Marlies2Phantoms5LSommaire du Match
44 - 2020-11-09280Wolf Pack4Marlies2LSommaire du Match
45 - 2020-11-10285Marlies1Admirals3LSommaire du Match
46 - 2020-11-11299Rocket2Marlies0LSommaire du Match
48 - 2020-11-13315Bruins4Marlies2LSommaire du Match
50 - 2020-11-15325Marlies0Sound Tigers2LSommaire du Match
51 - 2020-11-16337Marlies2Crunch1WXXSommaire du Match
52 - 2020-11-17349Sound Tigers5Marlies1LSommaire du Match
54 - 2020-11-19363Crunch3Marlies2LXXSommaire du Match
55 - 2020-11-20374Marlies1Senators4LSommaire du Match
56 - 2020-11-21381Griffins3Marlies7WSommaire du Match
57 - 2020-11-22395Marlies2Bruins3LSommaire du Match
58 - 2020-11-23404Marlies4Griffins3WSommaire du Match
59 - 2020-11-24413Wolves4Marlies3LSommaire du Match
61 - 2020-11-26429Sound Tigers2Marlies1LSommaire du Match
63 - 2020-11-28441Marlies1Phantoms2LSommaire du Match
64 - 2020-11-29450Crunch2Marlies1LSommaire du Match
66 - 2020-12-01462Bruins1Marlies4WSommaire du Match
67 - 2020-12-02470Marlies1Crunch3LSommaire du Match
68 - 2020-12-03476Marlies2Bruins4LSommaire du Match
70 - 2020-12-05491Senators1Marlies3WSommaire du Match
71 - 2020-12-06505Marlies2Soldiers7LSommaire du Match
72 - 2020-12-07514Stars4Marlies3LXXSommaire du Match
74 - 2020-12-09529Wolf Pack3Marlies2LSommaire du Match
75 - 2020-12-10537Marlies3Griffins4LSommaire du Match
77 - 2020-12-12547Marlies2Senators4LSommaire du Match
78 - 2020-12-13558Griffins1Marlies2WSommaire du Match
79 - 2020-12-14568Marlies3Flames4LSommaire du Match
80 - 2020-12-15579Flames3Marlies1LSommaire du Match
82 - 2020-12-17592Marlies1Griffins5LSommaire du Match
84 - 2020-12-19598Marlies4Monsters3WSommaire du Match
85 - 2020-12-20610Penguins5Marlies4LSommaire du Match
86 - 2020-12-21621Marlies3Sharks4LSommaire du Match
88 - 2020-12-23632Phantoms2Marlies3WSommaire du Match
90 - 2020-12-25645Marlies0Penguins2LSommaire du Match
91 - 2020-12-26655Bruins3Marlies2LSommaire du Match
93 - 2020-12-28669Sharks1Marlies3WSommaire du Match
94 - 2020-12-29678Marlies1Moose2LSommaire du Match
95 - 2020-12-30685Marlies3Bruins1WSommaire du Match
96 - 2020-12-31696Marlies3Rampage5LSommaire du Match
97 - 2021-01-01703Rampage2Marlies6WSommaire du Match
99 - 2021-01-03718Marlies2Sound Tigers3LXXSommaire du Match
100 - 2021-01-04727IceHogs2Marlies1LSommaire du Match
101 - 2021-01-05741Monsters2Marlies3WSommaire du Match
103 - 2021-01-07752Marlies2Stars3LSommaire du Match
104 - 2021-01-08763Admirals2Marlies0LSommaire du Match
105 - 2021-01-09775Condors2Marlies4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10785Marlies2Crunch6LSommaire du Match
108 - 2021-01-12799Monarchs2Marlies3WSommaire du Match
109 - 2021-01-13808Marlies0Monarchs2LSommaire du Match
111 - 2021-01-15817Marlies3Rocket2WSommaire du Match
112 - 2021-01-16826Bruins2Marlies1LXXSommaire du Match
114 - 2021-01-18841Marlies1IceHogs2LSommaire du Match
115 - 2021-01-19850Rocket1Marlies2WSommaire du Match
117 - 2021-01-21862Marlies2Condors0WSommaire du Match
118 - 2021-01-22870Senators3Marlies1LSommaire du Match
120 - 2021-01-24887Senators5Marlies4LSommaire du Match
121 - 2021-01-25890Marlies1Admirals2LXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
7,912,531$ 1,940,919$ 1,820,586$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,960,868$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 64,040$ 64,040$




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