Manchester Monarchs

GP: 82 | W: 15 | L: 65 | OTL: 2 | P: 32
GF: 185 | GA: 411 | PP%: 15.72% | PK%: 73.26%
DG: Alexandre Lahaie | Morale : 16 | 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 SP
1Kalle Kossila (R)X100.0069646073646764637965586355505015600
2Danick MartelXX100.0052577467577067607556605757505017000
3Scott Glennie (R)X100.0075746060745158587356566353505012000
4Jordan SchroederXX100.0065507876625567505065685250596017000
5Zach SillX100.0055737264737067516450506550555517000
6Cole BardreauX100.0059686863686866536650515850505017000
7James Wisniewski (R)X100.0055725872725452602557586950737512000
8Fredrik ClaessonX100.0092508874746675622559506050505011800
9Jesse GrahamX100.0056656763655858532559556050505013700
10Rob O'Gara (R)X100.0064786568786066502550506350505016200
11Mark FayneX100.0093808871897679592559597250787312000
12Nick Seeler (R)X100.0053755362755965502550505550505016000
13Tom GilbertX100.0072508976847564732557567350767711800
Rayé
MOYENNE D'ÉQUIPE100.006666716872646557455655625157571450
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
1Richard Bachman100.006573786367696770696931736911600
Rayé
MOYENNE D'ÉQUIPE100.00657378636769677069693173691160
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent69757167666068CAN4411$


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 GP 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
1Jesse GrahamManchester Monarchs (Los)D82263965-6718725308176208183012.50%172162819.86181432127221000099310.00%000000.8000014361
2Sam BennettLos Angeles KingsC/LW/RW241572273405070930016.13%754822.875383613310181603157.31%75900010.8015000503
3Jakob ChychrunLos Angeles KingsD738114802510230013.04%716123.011231425011039100.00%000001.3700000210
4Nick SeelerManchester Monarchs (Los)D24371053205522121125.00%1740516.900001350000501010.00%1000000.4900000102
5Adam PelechLos Angeles KingsD9336-41353520230013.04%2517119.0700082300008010.00%000010.7000010100
6Tommy WingelsLos Angeles KingsC/LW/RW92356140112729006.90%119521.721128391014451057.20%27100000.5102000000
7Kalle KossilaManchester Monarchs (Los)C2022140794000.00%03919.50011113000050072.22%5400001.0300000100
8Erik GudbransonLos Angeles KingsD1000000304000.00%12424.220003200003000.00%000000.0000000000
9Rob O'GaraManchester Monarchs (Los)D2000-140064000.00%13919.750004110000400100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1605269121-4929630494340400193113.00%231321420.09252146202505213124179357.63%109500020.75170241376
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Cole BardreauManchester Monarchs (Los)LW231993-07-21No194 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Danick MartelManchester Monarchs (Los)C/LW221994-12-12No161 Lbs5 ft8NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Fredrik ClaessonManchester Monarchs (Los)D241992-11-24No209 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
James WisniewskiManchester Monarchs (Los)D321984-02-21Yes203 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Jesse GrahamManchester Monarchs (Los)D221994-05-13No176 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Jordan SchroederManchester Monarchs (Los)C/RW261990-09-28No176 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Kalle KossilaManchester Monarchs (Los)C231993-04-14Yes175 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Mark FayneManchester Monarchs (Los)D291987-05-14No215 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Nick SeelerManchester Monarchs (Los)D231993-06-02Yes200 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Richard BachmanManchester Monarchs (Los)G291987-07-25No183 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Rob O'GaraManchester Monarchs (Los)D231993-07-06Yes207 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Scott GlennieManchester Monarchs (Los)LW251991-02-21Yes200 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Tom GilbertManchester Monarchs (Los)D341983-01-09No204 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Zach SillManchester Monarchs (Los)C281988-05-24No202 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1425.93193 Lbs6 ft02.50642,857$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jesse Graham40122
230122
320122
4Jesse Graham10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jesse Graham60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jesse Graham60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jesse Graham60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jesse Graham60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jesse Graham
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jesse Graham
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Jesse Graham, Jesse Graham
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Abbotsford Heat20200000414-101010000038-51010000016-500.00048120066665034474572674391143131428225.00%12466.67%0700214432.65%828272830.35%441134132.89%13999422615600914384
2Adirondack Phantoms30300000217-151010000005-520200000212-1000.0002350066665034574572674391353546391616.25%16568.75%0700214432.65%828272830.35%441134132.89%13999422615600914384
3Albany Devils30300000426-221010000028-620200000218-1600.00048120066665035874572674391333821361400.00%60100.00%0700214432.65%828272830.35%441134132.89%13999422615600914384
4Binghampton Senateurs30300000513-820200000310-71010000023-100.00051015006666503607457267439108293250900.00%14471.43%0700214432.65%828272830.35%441134132.89%13999422615600914384
5Bridgeport Sound Tigers30300000418-141010000016-520200000312-900.000471100666650344745726743912831142917211.76%6266.67%0700214432.65%828272830.35%441134132.89%13999422615600914384
6Charlotte Checkers311010001814410001000431211000001411340.667183553006666503137745726743912839227711545.45%9277.78%0700214432.65%828272830.35%441134132.89%13999422615600914384
7Chicago Wolves312000001016-620200000412-81100000064220.33310192900666650385745726743913827206015426.67%9455.56%0700214432.65%828272830.35%441134132.89%13999422615600914384
8Connecticut Whale30300000719-1220200000511-61010000028-600.00071320006666503134745726743915037268713323.08%12466.67%1700214432.65%828272830.35%441134132.89%13999422615600914384
9Grand Rapids Griffins20200000312-91010000016-51010000026-400.0003690066665035974572674399217827600.00%3166.67%0700214432.65%828272830.35%441134132.89%13999422615600914384
10Hamilton Bulldogs2010010069-31010000035-21000010034-110.250612181066665034774572674397231183812433.33%90100.00%0700214432.65%828272830.35%441134132.89%13999422615600914384
11Hershey Bears30300000618-1220200000411-71010000027-500.0006121800666650377745726743912944345614214.29%14564.29%0700214432.65%828272830.35%441134132.89%13999422615600914384
12Houston Aeros403010001120-92010100069-320200000511-620.250112132006666503115745726743915645285815213.33%11463.64%0700214432.65%828272830.35%441134132.89%13999422615600914384
13Lake Erie Monsters312000001012-21100000062420200000410-620.33310192900666650315574572674391113016984375.00%7185.71%0700214432.65%828272830.35%441134132.89%13999422615600914384
14Milwaukee Admirals20200000313-101010000016-51010000027-500.000369006666503367457267439962025269222.22%9544.44%0700214432.65%828272830.35%441134132.89%13999422615600914384
15Norfolk Admirals31200000131301010000045-12110000098120.33313243700666650311974572674391395018696233.33%11281.82%0700214432.65%828272830.35%441134132.89%13999422615600914384
16Oklahoma City Barons2020000048-41010000024-21010000024-200.00048121066665034874572674398622143712216.67%70100.00%0700214432.65%828272830.35%441134132.89%13999422615600914384
17Peoria Rivermen31200000612-62110000046-21010000026-420.3336121800666650371745726743911532226419315.79%11190.91%0700214432.65%828272830.35%441134132.89%13999422615600914384
18Portland Pirates30201000414-102010100048-41010000006-620.33346100066665035774572674391243420421218.33%10280.00%0700214432.65%828272830.35%441134132.89%13999422615600914384
19Providence Bruins30300000614-82020000029-71010000045-100.0006121800666650358745726743912630104216212.50%5420.00%0700214432.65%828272830.35%441134132.89%13999422615600914384
20Rochester Americans20200000210-81010000012-11010000018-700.000246006666503447457267439762920331000.00%10370.00%0700214432.65%828272830.35%441134132.89%13999422615600914384
21Rockford IceHogs30300000514-92020000059-41010000005-500.0005101500666650310174572674391263431551100.00%14378.57%0700214432.65%828272830.35%441134132.89%13999422615600914384
22San Antonio Rampage211000008711010000023-11100000064220.50081523006666503907457267439891821745240.00%6266.67%0700214432.65%828272830.35%441134132.89%13999422615600914384
23Springfield Falcons412001001115-431100100912-31010000023-130.37511193000666650392745726743917645337326519.23%12191.67%0700214432.65%828272830.35%441134132.89%13999422615600914384
24St-John Ice Caps32100000880110000003212110000056-140.667815230066665038074572674398632224513215.38%11372.73%0700214432.65%828272830.35%441134132.89%13999422615600914384
25Syracuse Crunch30300000418-1420200000413-91010000005-500.00048120066665035574572674391052514602129.52%6183.33%0700214432.65%828272830.35%441134132.89%13999422615600914384
26Texas Stars2020000019-81010000004-41010000015-400.00012300666650320745726743979213541800.00%13561.54%0700214432.65%828272830.35%441134132.89%13999422615600914384
27Toronto Marlies431000001816211000000651321000001211160.7501836540066665031877457267439172452812613538.46%13284.62%1700214432.65%828272830.35%441134132.89%13999422615600914384
Total82126503200185411-226415320310090192-102417330010095219-124320.19518535453920666650322237457267439344795767515773695815.72%2887773.26%2700214432.65%828272830.35%441134132.89%13999422615600914384
29Wilkes-Barre Penguins30300000117-161010000006-620200000111-1000.0001230066665035474572674391404616441815.56%8362.50%0700214432.65%828272830.35%441134132.89%13999422615600914384
30Worchester Sharks30300000115-141010000012-120200000013-1300.0001230066665035174572674391184030491616.25%14471.43%0700214432.65%828272830.35%441134132.89%13999422615600914384
_Since Last GM Reset82126503200185411-226415320310090192-102417330010095219-124320.19518535453920666650322237457267439344795767515773695815.72%2887773.26%2700214432.65%828272830.35%441134132.89%13999422615600914384
_Vs Conference434370110076225-149222180110042108-66212190000034117-83110.12876141217006666503984745726743917975163367212112411.37%1454072.41%1700214432.65%828272830.35%441134132.89%13999422615600914384

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8232L218535453922233447957675157720
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8212653200185411
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41532310090192
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41733010095219
Derniers 10 Matchs
WLOTWOTL SOWSOL
270100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3695815.72%2887773.26%2
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
74572674396666503
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
700214432.65%828272830.35%441134132.89%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13999422615600914384


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
4 - 2017-10-0419Springfield Falcons5Manchester Monarchs2LSommaire du Match
5 - 2017-10-0533Manchester Monarchs1Lake Erie Monsters6LSommaire du Match
7 - 2017-10-0744Hershey Bears6Manchester Monarchs2LSommaire du Match
8 - 2017-10-0847Manchester Monarchs4Toronto Marlies2WSommaire du Match
12 - 2017-10-1275Springfield Falcons4Manchester Monarchs3LXSommaire du Match
14 - 2017-10-1484Manchester Monarchs1Albany Devils6LSommaire du Match
16 - 2017-10-1696Manchester Monarchs1St-John Ice Caps4LSommaire du Match
17 - 2017-10-17113Portland Pirates5Manchester Monarchs0LSommaire du Match
19 - 2017-10-19126Manchester Monarchs8Charlotte Checkers4WSommaire du Match
21 - 2017-10-21143Peoria Rivermen5Manchester Monarchs1LSommaire du Match
22 - 2017-10-22156Manchester Monarchs0Worchester Sharks7LSommaire du Match
23 - 2017-10-23169Houston Aeros4Manchester Monarchs5WXSommaire du Match
28 - 2017-10-28193Manchester Monarchs1Adirondack Phantoms3LSommaire du Match
29 - 2017-10-29201Connecticut Whale6Manchester Monarchs2LSommaire du Match
31 - 2017-10-31221Manchester Monarchs1Adirondack Phantoms9LSommaire du Match
32 - 2017-11-01231Syracuse Crunch6Manchester Monarchs2LSommaire du Match
34 - 2017-11-03249Manchester Monarchs6Chicago Wolves4WSommaire du Match
36 - 2017-11-05260Lake Erie Monsters2Manchester Monarchs6WSommaire du Match
39 - 2017-11-08282San Antonio Rampage3Manchester Monarchs2LSommaire du Match
40 - 2017-11-09294Manchester Monarchs2Milwaukee Admirals7LSommaire du Match
42 - 2017-11-11308Manchester Monarchs3Norfolk Admirals4LSommaire du Match
43 - 2017-11-12320Syracuse Crunch7Manchester Monarchs2LSommaire du Match
45 - 2017-11-14341Springfield Falcons3Manchester Monarchs4WSommaire du Match
47 - 2017-11-16356Manchester Monarchs6Charlotte Checkers7LSommaire du Match
48 - 2017-11-17369Manchester Monarchs6San Antonio Rampage4WSommaire du Match
50 - 2017-11-19383Oklahoma City Barons4Manchester Monarchs2LSommaire du Match
52 - 2017-11-21397Manchester Monarchs6Norfolk Admirals4WSommaire du Match
53 - 2017-11-22407Wilkes-Barre Penguins6Manchester Monarchs0LSommaire du Match
57 - 2017-11-26435Hershey Bears5Manchester Monarchs2LSommaire du Match
60 - 2017-11-29458Binghampton Senateurs3Manchester Monarchs0LSommaire du Match
61 - 2017-11-30467Manchester Monarchs0Portland Pirates6LSommaire du Match
62 - 2017-12-01483Albany Devils8Manchester Monarchs2LSommaire du Match
64 - 2017-12-03498Manchester Monarchs1Rochester Americans8LSommaire du Match
67 - 2017-12-06515Manchester Monarchs3Lake Erie Monsters4LSommaire du Match
69 - 2017-12-08525Abbotsford Heat8Manchester Monarchs3LSommaire du Match
71 - 2017-12-10544Manchester Monarchs2Peoria Rivermen6LSommaire du Match
73 - 2017-12-12552St-John Ice Caps2Manchester Monarchs3WSommaire du Match
76 - 2017-12-15576Portland Pirates3Manchester Monarchs4WXSommaire du Match
79 - 2017-12-18597Manchester Monarchs2Grand Rapids Griffins6LSommaire du Match
81 - 2017-12-20608Milwaukee Admirals6Manchester Monarchs1LSommaire du Match
87 - 2017-12-26633Manchester Monarchs2Connecticut Whale8LSommaire du Match
88 - 2017-12-27642Grand Rapids Griffins6Manchester Monarchs1LSommaire du Match
90 - 2017-12-29665Charlotte Checkers3Manchester Monarchs4WXSommaire du Match
92 - 2017-12-31679Manchester Monarchs1Abbotsford Heat6LSommaire du Match
94 - 2018-01-02695Toronto Marlies5Manchester Monarchs6WSommaire du Match
95 - 2018-01-03709Manchester Monarchs0Wilkes-Barre Penguins7LSommaire du Match
99 - 2018-01-07724Texas Stars4Manchester Monarchs0LSommaire du Match
101 - 2018-01-09738Manchester Monarchs4St-John Ice Caps2WSommaire du Match
102 - 2018-01-10755Hamilton Bulldogs5Manchester Monarchs3LSommaire du Match
104 - 2018-01-12769Manchester Monarchs1Wilkes-Barre Penguins4LSommaire du Match
105 - 2018-01-13783Manchester Monarchs1Albany Devils12LSommaire du Match
107 - 2018-01-15797Chicago Wolves6Manchester Monarchs0LSommaire du Match
110 - 2018-01-18814Norfolk Admirals5Manchester Monarchs4LSommaire du Match
112 - 2018-01-20830Manchester Monarchs2Hershey Bears7LSommaire du Match
114 - 2018-01-22845Worchester Sharks2Manchester Monarchs1LSommaire du Match
116 - 2018-01-24866Manchester Monarchs2Houston Aeros4LSommaire du Match
118 - 2018-01-26875Providence Bruins4Manchester Monarchs2LSommaire du Match
119 - 2018-01-27893Manchester Monarchs0Rockford IceHogs5LSommaire du Match
121 - 2018-01-29904Manchester Monarchs4Providence Bruins5LSommaire du Match
122 - 2018-01-30915Houston Aeros5Manchester Monarchs1LSommaire du Match
124 - 2018-02-01934Bridgeport Sound Tigers6Manchester Monarchs1LSommaire du Match
125 - 2018-02-02950Manchester Monarchs2Bridgeport Sound Tigers7LSommaire du Match
128 - 2018-02-05963Manchester Monarchs2Binghampton Senateurs3LSommaire du Match
131 - 2018-02-08973Rochester Americans2Manchester Monarchs1LSommaire du Match
132 - 2018-02-09986Manchester Monarchs0Worchester Sharks6LSommaire du Match
135 - 2018-02-121000Binghampton Senateurs7Manchester Monarchs3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161026Chicago Wolves6Manchester Monarchs4LSommaire du Match
141 - 2018-02-181040Manchester Monarchs0Syracuse Crunch5LSommaire du Match
142 - 2018-02-191056Rockford IceHogs5Manchester Monarchs3LSommaire du Match
143 - 2018-02-201065Manchester Monarchs2Springfield Falcons3LSommaire du Match
146 - 2018-02-231083Rockford IceHogs4Manchester Monarchs2LSommaire du Match
147 - 2018-02-241094Manchester Monarchs1Texas Stars5LSommaire du Match
149 - 2018-02-261106Manchester Monarchs3Houston Aeros7LSommaire du Match
150 - 2018-02-271120Adirondack Phantoms5Manchester Monarchs0LSommaire du Match
154 - 2018-03-031144Providence Bruins5Manchester Monarchs0LSommaire du Match
155 - 2018-03-041153Manchester Monarchs5Toronto Marlies4WSommaire du Match
157 - 2018-03-061164Manchester Monarchs1Bridgeport Sound Tigers5LSommaire du Match
159 - 2018-03-081177Peoria Rivermen1Manchester Monarchs3WSommaire du Match
161 - 2018-03-101187Manchester Monarchs2Oklahoma City Barons4LSommaire du Match
163 - 2018-03-121196Manchester Monarchs3Hamilton Bulldogs4LXSommaire du Match
166 - 2018-03-151213Manchester Monarchs3Toronto Marlies5LSommaire du Match
168 - 2018-03-171229Connecticut Whale5Manchester Monarchs3LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
43,978$ 90,000$ 94,778$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 43,978$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 533$ 0$




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
1282126503200185411-226415320310090192-102417330010095219-1243218535453920666650322237457267439344795767515773695815.72%2887773.26%2700214432.65%828272830.35%441134132.89%13999422615600914384
Total Saison Régulière82126503200185411-226415320310090192-102417330010095219-1243218535453920666650322237457267439344795767515773695815.72%2887773.26%2700214432.65%828272830.35%441134132.89%13999422615600914384