Monarchs

GP: 8 | W: 2 | L: 5 | OTL: 1 | P: 5
GF: 20 | GA: 24 | PP%: 26.92% | PK%: 85.00%
DG: Patrick Poulin | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #89 vs Admirals
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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 SP
1Alexander NylanderXX100.00634194846862806833706861756060695000
2Daniel SprongXX100.00726783846773756650636268596161675000
3Daniel CarrXX100.00734388787056755325505957755959615000
4Casey MittelstadtXX100.00634297837463897066636458795757675000
5Hunter ShinkarukX100.00736593636557585650475864555252605000
6Jesperi KotkaniemiX100.00795881857163817073597353255757675000
7Joel Lowry (R)X100.00716879626869735750575162484747585000
8Jonathan Ang (R)X100.00686185606174795771565359504444585000
9Nikolai Prokhorkin (R)X100.00734395786962626562685959754747655000
10Paul ByronXXX100.00794395905867616130666678856868715000
11Mikhail VorobyevX100.00594190717256785585605766254747625000
12Jason DickinsonXXX100.00794496797668835968646685256263725000
13Ryan LombergX100.00726881666862616850617164674444685000
14Brennan MenellX100.00716682646678836125634265405555595000
15Jacob MiddletonX100.00839975687955685825544768255151605000
16Matt BenningX100.00835889827461755825524770256161615000
17Martin Fehervary (R)X100.00757283727266714725384160394444535000
18Pierre-Olivier Joseph (R)X100.00696382656369745025444158394444535000
19Roland McKeownX100.00747277677276835125474161394444555000
Rayé
1Dmitri Samorukov (R)X100.00777485627465704625374061384444525000
MOYENNE D'ÉQUIPE100.0073598773696574594456556449525262500
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
1Ryan Miller100.0074545869816859757774878083715000
2Kevin Poulin (R)100.0059556973626055635958304444595000
Rayé
MOYENNE D'ÉQUIPE100.006755647172645769686659626465500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley72707573878159CAN6133,500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Casey MittelstadtMonarchs (LAK)C/LW8527-5409342851417.86%216020.0551612260113231048.37%18400010.8701000111
2Daniel SprongMonarchs (LAK)LW/RW8156-41001516248144.17%214818.54156735000061044.44%1800000.8101000101
3Hunter ShinkarukMonarchs (LAK)LW8336-32011191741217.65%211914.923258300000190040.00%2500001.0100000000
4Jacob MiddletonMonarchs (LAK)D8235-4261026111531213.33%216320.411341236000019000.00%000000.6100101100
5Roland McKeownMonarchs (LAK)D8134-310012882812.50%1016020.03134630000023000.00%200000.5000000001
6Paul ByronMonarchs (LAK)C/LW/RW21230001670314.29%13919.6202206000070060.00%500001.5300000000
7Martin FehervaryMonarchs (LAK)D8123-612016961416.67%413316.631123900005000.00%000000.4500000000
8Pierre-Olivier JosephMonarchs (LAK)D8033-360587240.00%615519.42022727000019000.00%000000.3900000000
9Alexander NylanderMonarchs (LAK)LW/RW2022000114350.00%03618.4901106000140033.33%300001.0800000000
10Joel LowryMonarchs (LAK)LW8112-41001919226114.55%311214.0701116000050020.00%1500000.3600000010
11Jason DickinsonMonarchs (LAK)C/LW/RW21120002630133.33%04221.3810115000070048.94%4700000.9400000100
12Matt BenningMonarchs (LAK)D21010003020250.00%14321.781012700006000.00%000000.4600000001
13Brennan MenellMonarchs (LAK)D2000-120400000.00%24221.350000600008000.00%000000.0000000000
14Daniel CarrMonarchs (LAK)LW/RW2000000112000.00%03417.010001600000000.00%200000.0000000000
15Jesperi KotkaniemiMonarchs (LAK)C2000000225120.00%03919.5800025000050052.38%2100000.0000000000
16Jonathan AngMonarchs (LAK)C2000000000000.00%073.5300001000040033.33%300000.0000000000
17Nikolai ProkhorkinMonarchs (LAK)C2000-240133120.00%03417.2300000000000062.50%800000.0000000000
18Mikhail VorobyevMonarchs (LAK)C2000000002010.00%084.0700014000000066.67%300000.0000000000
19Ryan LombergMonarchs (LAK)LW2000-200141350.00%02814.0000000000000050.00%200000.0000000000
Stats d'équipe Total ou en Moyenne86172744-3786101291471563910010.90%35150817.541421356325201141662046.45%33800010.5802101424
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
1Ryan MillerMonarchs (LAK)20200.8442.54118005320000.000020000
Stats d'équipe Total ou en Moyenne20200.8442.54118005320000.000020000


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
Alexander NylanderMonarchs (LAK)LW/RW221998-03-01No180 Lbs6 ft1NoNoNo3Pro & Farm1,713,333$1,533,709$1,713,333$1,533,709$0$0$No1,713,333$1,713,333$Lien
Brennan MenellMonarchs (LAK)D231997-05-24No183 Lbs5 ft11NoNoNo3Pro & Farm1,091,666$977,217$716,666$641,532$0$0$No716,666$716,666$Lien
Casey MittelstadtMonarchs (LAK)C/LW211998-11-22No203 Lbs6 ft1NoNoNo2Pro & Farm1,491,666$1,335,282$1,491,666$1,335,282$0$0$No1,491,666$Lien
Daniel CarrMonarchs (LAK)LW/RW281991-11-01No193 Lbs6 ft0NoNoNo2Pro & Farm750,000$671,371$750,000$671,371$0$0$No750,000$Lien
Daniel SprongMonarchs (LAK)LW/RW231997-03-17No180 Lbs6 ft0NoNoNo2Pro & Farm750,000$671,371$750,000$671,371$0$0$No750,000$Lien
Dmitri SamorukovMonarchs (LAK)D211999-06-16Yes196 Lbs6 ft3NoNoNo3Pro & Farm863,333$772,822$863,333$772,822$0$0$No863,333$863,333$
Hunter ShinkarukMonarchs (LAK)LW251994-10-13No181 Lbs5 ft10NoNoNo2Pro & Farm833,000$745,669$833,000$745,669$0$0$No833,000$Lien
Jacob MiddletonMonarchs (LAK)D241996-01-01No200 Lbs6 ft3NoNoNo2Pro & Farm735,000$657,944$450,000$402,823$0$0$No735,000$Lien
Jason DickinsonMonarchs (LAK)C/LW/RW241995-07-04No205 Lbs6 ft2NoNoNo2Pro & Farm875,000$783,266$875,000$783,266$0$0$No875,000$Lien
Jesperi KotkaniemiMonarchs (LAK)C192000-07-06No188 Lbs6 ft2NoNoNo2Pro & Farm3,425,000$3,065,927$450,000$402,823$0$0$No3,425,000$Lien
Joel LowryMonarchs (LAK)LW281991-11-15Yes180 Lbs6 ft1NoNoNo3Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$700,000$
Jonathan AngMonarchs (LAK)C221998-01-31Yes165 Lbs5 ft11NoNoNo3Pro & Farm910,833$815,342$910,833$815,342$0$0$No910,833$910,833$
Kevin PoulinMonarchs (LAK)G251995-01-01Yes200 Lbs6 ft0NoNoNo3Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$700,000$
Martin FehervaryMonarchs (LAK)D201999-10-06Yes194 Lbs6 ft2NoNoNo3Pro & Farm894,167$800,424$894,167$800,424$0$0$No894,167$894,167$
Matt BenningMonarchs (LAK)D261994-05-25No204 Lbs6 ft1NoNoNo2Pro & Farm1,900,000$1,700,806$1,900,000$1,700,806$0$0$No1,900,000$Lien
Mikhail VorobyevMonarchs (LAK)C231997-01-04No194 Lbs6 ft2NoNoNo3Pro & Farm1,050,000$939,919$925,000$828,024$0$0$No925,000$925,000$Lien
Nikolai ProkhorkinMonarchs (LAK)C261993-09-17Yes183 Lbs6 ft2NoNoNo3Pro & Farm1,775,000$1,588,911$1,775,000$1,588,911$0$0$No1,775,000$1,775,000$
Paul ByronMonarchs (LAK)C/LW/RW311989-04-26No162 Lbs5 ft9NoNoNo1Pro & Farm1,166,667$1,044,355$1,166,667$1,044,355$0$0$NoLien
Pierre-Olivier JosephMonarchs (LAK)D201999-07-01Yes161 Lbs6 ft2NoNoNo3Pro & Farm1,075,833$963,044$1,075,833$963,044$0$0$No1,075,833$1,075,833$
Roland McKeownMonarchs (LAK)D241996-01-19No195 Lbs6 ft1NoNoNo1Pro & Farm894,167$800,424$894,167$800,424$0$0$NoLien
Ryan LombergMonarchs (LAK)LW251994-12-09No190 Lbs5 ft10NoNoNo3Pro & Farm950,000$850,403$700,000$626,613$0$0$No700,000$700,000$Lien
Ryan MillerMonarchs (LAK)G391980-07-17No173 Lbs6 ft3NoNoNo3Pro & Farm3,325,000$2,976,411$2,325,000$2,081,250$0$0$No2,325,000$2,325,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2224.50187 Lbs6 ft12.451,266,803$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Paul ByronJason DickinsonAlexander Nylander35122
2Daniel SprongJesperi KotkaniemiDaniel Carr30122
3Ryan LombergCasey MittelstadtNikolai Prokhorkin25122
4Joel LowryNikolai ProkhorkinJason Dickinson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningJacob Middleton35122
2Brennan MenellRoland McKeown30122
3Pierre-Olivier JosephMartin Fehervary25122
4Matt BenningJacob Middleton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Paul ByronJason DickinsonAlexander Nylander60122
2Daniel SprongJesperi KotkaniemiDaniel Carr40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningJacob Middleton60122
2Brennan MenellRoland McKeown40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jason DickinsonPaul Byron60122
2Alexander NylanderJesperi Kotkaniemi40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningJacob Middleton60122
2Brennan MenellRoland McKeown40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jason Dickinson60122Matt BenningJacob Middleton60122
2Paul Byron40122Brennan MenellRoland McKeown40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jason DickinsonPaul Byron60122
2Alexander NylanderJesperi Kotkaniemi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningJacob Middleton60122
2Brennan MenellRoland McKeown40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Paul ByronJason DickinsonAlexander NylanderMatt BenningJacob Middleton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Paul ByronJason DickinsonAlexander NylanderMatt BenningJacob Middleton
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mikhail Vorobyev, Hunter Shinkaruk, Jonathan AngMikhail Vorobyev, Hunter ShinkarukJonathan Ang
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Pierre-Olivier Joseph, Martin Fehervary, Brennan MenellPierre-Olivier JosephMartin Fehervary, Brennan Menell
Tirs de Pénalité
Jason Dickinson, Paul Byron, Alexander Nylander, Jesperi Kotkaniemi, Daniel Sprong
Gardien
#1 : Ryan Miller, #2 : Kevin Poulin


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
1Admirals1010000025-3000000000001010000025-300.00023500677021585063322414206116.67%7185.71%18621939.27%8719744.16%5112540.80%184128203629746
2Condors21100000963110000007341010000023-120.500917260067704558506334210142910440.00%6183.33%08621939.27%8719744.16%5112540.80%184128203629746
3Flames211000004401010000012-11100000032120.50047110067703958506333111193613430.77%7271.43%08621939.27%8719744.16%5112540.80%184128203629746
4Moose1010000023-1000000000001010000023-100.000246006770155850633161114186233.33%70100.00%08621939.27%8719744.16%5112540.80%184128203629746
5Sharks2010000136-31010000013-21000000123-110.2503470067705158506333315333717317.65%13284.62%08621939.27%8719744.16%5112540.80%184128203629746
Total825000012024-431200000981513000011116-550.31320355500677017158506331445194140521426.92%40685.00%18621939.27%8719744.16%5112540.80%184128203629746
_Since Last GM Reset825000012024-431200000981513000011116-550.31320355500677017158506331445194140521426.92%40685.00%18621939.27%8719744.16%5112540.80%184128203629746
_Vs Conference614000011620-42110000086240300001814-630.25016284400677013258506331134075104391025.64%33487.88%18621939.27%8719744.16%5112540.80%184128203629746
_Vs Division814000012024-431100000981503000011116-530.18820355500677017158506331445194140521426.92%40685.00%18621939.27%8719744.16%5112540.80%184128203629746

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
85L2203555171144519414000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
82500012024
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000098
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
51300011116
Derniers 10 Matchs
WLOTWOTL SOWSOL
250001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
521426.92%40685.00%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
58506336770
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
8621939.27%8719744.16%5112540.80%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
184128203629746


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 - 2020-09-279Sharks3Monarchs1LSommaire du Match
2 - 2020-09-2819Monarchs2Admirals5LSommaire du Match
3 - 2020-09-2922Monarchs3Flames2WSommaire du Match
4 - 2020-09-3033Monarchs2Moose3LSommaire du Match
6 - 2020-10-0246Condors3Monarchs7WSommaire du Match
8 - 2020-10-0460Monarchs2Sharks3LXXSommaire du Match
10 - 2020-10-0667Flames2Monarchs1LSommaire du Match
12 - 2020-10-0878Monarchs2Condors3LSommaire du Match
14 - 2020-10-1089Admirals-Monarchs-
16 - 2020-10-12100Flames-Monarchs-
18 - 2020-10-14118Monarchs-Condors-
20 - 2020-10-16127Moose-Monarchs-
22 - 2020-10-18138Sharks-Monarchs-
23 - 2020-10-19148Monarchs-Sharks-
25 - 2020-10-21165Condors-Monarchs-
26 - 2020-10-22179Moose-Monarchs-
27 - 2020-10-23183Monarchs-Sharks-
29 - 2020-10-25197Monarchs-Griffins-
31 - 2020-10-27208Monarchs-Crunch-
33 - 2020-10-29218Griffins-Monarchs-
35 - 2020-10-31230Crunch-Monarchs-
37 - 2020-11-02241Monarchs-Soldiers-
39 - 2020-11-04252Monarchs-Bruins-
42 - 2020-11-07263Sharks-Monarchs-
43 - 2020-11-08271Monarchs-Admirals-
44 - 2020-11-09279Monarchs-Flames-
45 - 2020-11-10286IceHogs-Monarchs-
47 - 2020-11-12302IceHogs-Monarchs-
48 - 2020-11-13313Monarchs-Condors-
49 - 2020-11-14324Monarchs-Admirals-
50 - 2020-11-15330Wolves-Monarchs-
52 - 2020-11-17346Stars-Monarchs-
53 - 2020-11-18358Admirals-Monarchs-
55 - 2020-11-20371Monarchs-Flames-
56 - 2020-11-21382Moose-Monarchs-
58 - 2020-11-23398Condors-Monarchs-
59 - 2020-11-24407Monarchs-Phantoms-
60 - 2020-11-25419IceHogs-Monarchs-
61 - 2020-11-26430Monarchs-Stars-
63 - 2020-11-28438Monarchs-Moose-
64 - 2020-11-29448Monarchs-Penguins-
65 - 2020-11-30458Flames-Monarchs-
67 - 2020-12-02471Senators-Monarchs-
68 - 2020-12-03484Penguins-Monarchs-
71 - 2020-12-06497Monarchs-Admirals-
72 - 2020-12-07508Monarchs-Rampage-
73 - 2020-12-08517Soldiers-Monarchs-
74 - 2020-12-09530Monarchs-Monsters-
76 - 2020-12-11540Moose-Monarchs-
77 - 2020-12-12552Monarchs-IceHogs-
79 - 2020-12-14560Monarchs-Wolf Pack-
80 - 2020-12-15571Wolf Pack-Monarchs-
81 - 2020-12-16582Monarchs-Admirals-
83 - 2020-12-18593Wolves-Monarchs-
85 - 2020-12-20605Stars-Monarchs-
86 - 2020-12-21619Bruins-Monarchs-
87 - 2020-12-22627Monarchs-Condors-
89 - 2020-12-24639Sharks-Monarchs-
91 - 2020-12-26653Monarchs-Rocket-
92 - 2020-12-27661Monarchs-Wolves-
93 - 2020-12-28670Flames-Monarchs-
94 - 2020-12-29679Monarchs-Flames-
96 - 2020-12-31691Sound Tigers-Monarchs-
97 - 2021-01-01702Monarchs-Moose-
98 - 2021-01-02713Rampage-Monarchs-
100 - 2021-01-04730Rocket-Monarchs-
101 - 2021-01-05737Monarchs-Wolves-
102 - 2021-01-06744Monarchs-Senators-
104 - 2021-01-08759Condors-Monarchs-
105 - 2021-01-09767Monarchs-Sharks-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10780Monsters-Monarchs-
107 - 2021-01-11791Monarchs-Rampage-
108 - 2021-01-12799Monarchs-Marlies-
109 - 2021-01-13808Marlies-Monarchs-
111 - 2021-01-15820Monarchs-Moose-
113 - 2021-01-17831Flames-Monarchs-
114 - 2021-01-18843Admirals-Monarchs-
116 - 2021-01-20855Monarchs-Sound Tigers-
117 - 2021-01-21866Admirals-Monarchs-
118 - 2021-01-22877Monarchs-Sharks-
119 - 2021-01-23881Monarchs-Soldiers-
123 - 2021-01-27902Phantoms-Monarchs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
659,113$ 2,786,967$ 2,285,967$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 292,188$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 111 50,701$ 5,627,811$




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
2020825000012024-431200000981513000011116-5520355500677017158506331445194140521426.92%40685.00%18621939.27%8719744.16%5112540.80%184128203629746
Total Saison Régulière825000012024-431200000981513000011116-5520355500677017158506331445194140521426.92%40685.00%18621939.27%8719744.16%5112540.80%184128203629746