Monarchs
GP: 82 | W: 37 | L: 36 | OTL: 9 | P: 83
GF: 173 | GA: 183 | PP%: 12.75% | PK%: 88.04%
GM : Patrick Poulin | Morale : 50 | Team Overall : N/A
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Alexander NylanderXX100.006341948468628068337068617560606931002231,713,333$
2Daniel SprongXX100.00726783846773756650636268596161675000232750,000$
3Casey MittelstadtXX100.006342978374638970666364587957576750002121,491,666$
4Hunter ShinkarukX100.00736593636557585650475864555252605000252833,000$
5Nicholas Merkley (R)XX100.007368857968676962786258635544446450002321,075,833$
6Jesperi KotkaniemiX100.007958818571638170735973532557576736001923,425,000$
7Joel Lowry (R)X100.00716879626869735750575162484747585000283700,000$
8Nikolai Prokhorkin (R)X100.007343957869626265626859597547476550002631,775,000$
9Alexandre Texier (R)X100.00674290837163676442657060254747695000203925,000$
10Paul ByronXXX100.007943959058676161306666788568687149003111,166,667$
11Mikhail VorobyevX100.005941907172567855856057662547476250002331,050,000$
12Ryan Poehling (R)XX100.007944947769566757335456682546466250002131,491,667$
13Jake Leschyshyn (R)X100.00746789696775834759434660444444555000213927,500$
14Ryan LombergX100.00726881666862616850617164674444685000253950,000$
15Vitaly Kravtsov (R)X100.007971967571616355505154645144446050002031,775,000$
16Brennan MenellX100.007166826466788361256342654055555950002331,091,666$
17Jacob MiddletonX100.00839975687955685825544768255151605000242735,000$
18Matt BenningX100.008358898274617558255247702561616150002621,900,000$
19Roland McKeownX100.00747277677276835125474161394444555000241894,167$
Scratches
1Martin Fehervary (R)X100.00757283727266714725384160394444535000203894,167$
2Otto Leskinen (R)X100.006461707461697452254940563844445350002311,000,000$
3Pierre-Olivier Joseph (R)X100.006963826563697450254441583944445350002031,075,833$
4Dmitri Samorukov (R)X100.00777485627465704625374061384444525000213863,333$
TEAM AVERAGE100.0073618674696572584455546347505061490
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Curtis McElhinney100.006957588074656769767071646569800
2Kevin Poulin (R)100.0059556973626055635958304444595000
Scratches
TEAM AVERAGE100.006456647768636166686451545564290
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Hartley72707573878159CAN6133,500,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
1Daniel SprongMonarchs (LAK)LW/RW82142640-362013213616447998.54%16154818.88615214839100021493140.00%14500000.5205000353
2Casey MittelstadtMonarchs (LAK)C/LW82201939-14140311501593910712.58%10146017.8098174427101161535055.42%108800010.5313000644
3Paul ByronMonarchs (LAK)C/LW/RW68122739252099158131401079.16%15141420.80311144231901122582035.62%107800000.5516000433
4Matt BenningMonarchs (LAK)D7692231-18201356966174013.64%55166021.856814473460110267000.00%000000.3700000223
5Nicholas MerkleyMonarchs (LAK)C/RW82141630-47915931151143612212.28%9141717.298715433900000654154.41%13600100.4200120121
6Alexandre TexierMonarchs (LAK)C7652227-1242046907528566.67%20107414.14123661000033044.14%44400000.5000000312
7Brennan MenellMonarchs (LAK)D64520253420604226131819.23%45139521.802911202870000267210.00%000000.3600000101
8Jesperi KotkaniemiMonarchs (LAK)C5613122518500691031103010711.82%489616.0111217891122721057.50%72700000.5602000311
9Ryan LombergMonarchs (LAK)LW76121123-115408578125441139.60%2114315.04224241790000201146.38%6900000.4000000123
10Jacob MiddletonMonarchs (LAK)D7761420-4166301674646143613.04%40151319.654913343170000230000.00%000000.2600105112
11Ryan PoehlingMonarchs (LAK)C/LW68108187320476362224216.13%976911.31000020000183022.95%6100000.4700000413
12Roland McKeownMonarchs (LAK)D8261016-1141151473845101913.33%60155318.955611272290110179010.00%200000.2100120123
13Nikolai ProkhorkinMonarchs (LAK)C605813-7220264938153213.16%35258.761125470000271047.85%18600000.4900000101
14Brian BoyleKingsC/LW152911-114041372412288.33%332421.621787750000631065.81%38900000.6801000101
15Vitaly KravtsovMonarchs (LAK)RW5356111131533485316489.43%1071813.56000219000000148.78%4100000.3100100011
16Alexander NylanderMonarchs (LAK)LW/RW17358-10018212752011.11%536421.461349760002542032.26%3100000.4401000003
17Hunter ShinkarukMonarchs (LAK)LW42437-24018252351417.39%42315.513258420001540046.34%4100000.6100000010
18Joel LowryMonarchs (LAK)LW55246-31603636289167.14%72955.380112190110740036.51%6300000.4100000010
19Mikhail VorobyevMonarchs (LAK)C74246-260824213159.52%42643.580006741011411055.56%9000000.4500000001
20Pierre-Olivier JosephMonarchs (LAK)D32066-1622030149290.00%1756317.60022951000055000.00%000000.2100000010
21Martin FehervaryMonarchs (LAK)D15123-7220331372414.29%625216.82112312000021000.00%000000.2400000000
22Otto LeskinenMonarchs (LAK)D3103313003665260.00%1451916.76000442000075000.00%000000.1200000010
23Jake LeschyshynMonarchs (LAK)C141121001634233.33%0352.55000117000020057.14%700101.1200000000
Team Total or Average1297151258409-4698365139113671361415106011.09%3581994315.385495149408336426816215729648.93%459800210.41218445322936
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Kevin PoulinMonarchs (LAK)195720.9001.9396523313110000.50061464300
Team Total or Average195720.9001.9396523313110000.50061464300


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alexander NylanderMonarchs (LAK)LW/RW221998-03-01No180 Lbs6 ft1NoNoNo3Pro & Farm1,713,333$13,817$1,713,333$13,817$0$0$No1,713,333$1,713,333$Link
Alexandre TexierMonarchs (LAK)C201999-09-13Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Brennan MenellMonarchs (LAK)D231997-05-24No183 Lbs5 ft11NoNoNo3Pro & Farm1,091,666$8,804$716,666$5,780$0$0$No716,666$716,666$Link
Casey MittelstadtMonarchs (LAK)C/LW211998-11-22No203 Lbs6 ft1NoNoNo2Pro & Farm1,491,666$12,030$1,491,666$12,030$0$0$No1,491,666$Link
Curtis McElhinneyMonarchs (LAK)G371983-05-22No200 Lbs6 ft3NoNoNo1Pro & Farm850,000$6,855$850,000$6,855$0$0$NoLink
Daniel SprongMonarchs (LAK)LW/RW231997-03-17No180 Lbs6 ft0NoNoNo2Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$Link
Dmitri SamorukovMonarchs (LAK)D211999-06-16Yes196 Lbs6 ft3NoNoNo3Pro & Farm863,333$6,962$863,333$6,962$0$0$No863,333$863,333$
Hunter ShinkarukMonarchs (LAK)LW251994-10-13No181 Lbs5 ft10NoNoNo2Pro & Farm833,000$6,718$833,000$6,718$0$0$No833,000$Link
Jacob MiddletonMonarchs (LAK)D241996-01-01No200 Lbs6 ft3NoNoNo2Pro & Farm735,000$5,927$450,000$3,629$0$0$No735,000$Link
Jake LeschyshynMonarchs (LAK)C211999-03-09Yes185 Lbs5 ft11NoNoNo3Pro & Farm927,500$7,480$927,500$7,480$0$0$No927,500$927,500$
Jesperi KotkaniemiMonarchs (LAK)C192000-07-06No188 Lbs6 ft2NoNoNo2Pro & Farm3,425,000$27,621$450,000$3,629$0$0$No3,425,000$Link
Joel LowryMonarchs (LAK)LW281991-11-15Yes180 Lbs6 ft1NoNoNo3Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$
Kevin PoulinMonarchs (LAK)G251995-01-01Yes200 Lbs6 ft0NoNoNo3Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$
Martin FehervaryMonarchs (LAK)D201999-10-06Yes194 Lbs6 ft2NoNoNo3Pro & Farm894,167$7,211$894,167$7,211$0$0$No894,167$894,167$
Matt BenningMonarchs (LAK)D261994-05-25No204 Lbs6 ft1NoNoNo2Pro & Farm1,900,000$15,323$1,900,000$15,323$0$0$No1,900,000$Link
Mikhail VorobyevMonarchs (LAK)C231997-01-04No194 Lbs6 ft2NoNoNo3Pro & Farm1,050,000$8,468$925,000$7,460$0$0$No925,000$925,000$Link
Nicholas MerkleyMonarchs (LAK)C/RW231997-05-23Yes194 Lbs5 ft10NoNoNo2Pro & Farm1,075,833$8,676$1,075,833$8,676$0$0$No1,075,833$Link
Nikolai ProkhorkinMonarchs (LAK)C261993-09-17Yes183 Lbs6 ft2NoNoNo3Pro & Farm1,775,000$14,315$1,775,000$14,315$0$0$No1,775,000$1,775,000$
Otto LeskinenMonarchs (LAK)D231997-02-06Yes168 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Paul ByronMonarchs (LAK)C/LW/RW311989-04-26No162 Lbs5 ft9NoNoNo1Pro & Farm1,166,667$9,409$1,166,667$9,409$0$0$NoLink
Pierre-Olivier JosephMonarchs (LAK)D201999-07-01Yes161 Lbs6 ft2NoNoNo3Pro & Farm1,075,833$8,676$1,075,833$8,676$0$0$No1,075,833$1,075,833$
Roland McKeownMonarchs (LAK)D241996-01-19No195 Lbs6 ft1NoNoNo1Pro & Farm894,167$7,211$894,167$7,211$0$0$NoLink
Ryan LombergMonarchs (LAK)LW251994-12-09No190 Lbs5 ft10NoNoNo3Pro & Farm950,000$7,661$700,000$5,645$0$0$No700,000$700,000$Link
Ryan PoehlingMonarchs (LAK)C/LW211999-01-02Yes183 Lbs6 ft2NoNoNo3Pro & Farm1,491,667$12,030$1,491,667$12,030$0$0$No1,491,667$1,491,667$
Vitaly KravtsovMonarchs (LAK)RW201999-12-23Yes183 Lbs6 ft4NoNoNo3Pro & Farm1,775,000$14,315$925,002$7,460$0$0$No1,775,000$1,775,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2523.64187 Lbs6 ft12.401,202,153$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander NylanderDaniel Sprong35122
2Ryan LombergCasey MittelstadtNicholas Merkley30122
3Ryan PoehlingJesperi KotkaniemiVitaly Kravtsov25122
4Alexandre TexierAlexander Nylander10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningJacob Middleton35122
2Roland McKeown30122
3Alexandre Texier25122
4Matt BenningJacob Middleton10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander NylanderDaniel Sprong60122
2Ryan LombergCasey MittelstadtNicholas Merkley40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningJacob Middleton60122
2Roland McKeown40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alexander Nylander60122
2Daniel SprongCasey Mittelstadt40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningJacob Middleton60122
2Roland McKeown40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Matt BenningJacob Middleton60122
2Alexander Nylander40122Roland McKeown40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alexander Nylander60122
2Daniel SprongCasey Mittelstadt40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningJacob Middleton60122
2Roland McKeown40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alexander NylanderDaniel SprongMatt BenningJacob Middleton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexander NylanderDaniel SprongMatt BenningJacob Middleton
Extra Forwards
Normal PowerPlayPenalty Kill
Mikhail Vorobyev, Jake Leschyshyn, Jesperi KotkaniemiMikhail Vorobyev, Jake LeschyshynJesperi Kotkaniemi
Extra Defensemen
Normal PowerPlayPenalty Kill
, Roland McKeown, Roland McKeown,
Penalty Shots
, Alexander Nylander, Daniel Sprong, Casey Mittelstadt, Jesperi Kotkaniemi
Goalie
#1 : Kevin Poulin, #2 :


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Admirals95300010252054310000012845220001013121120.66725416600724948515955048147737151408915446613.04%40587.50%11026219446.76%1036216047.96%501111644.89%2013140219616141002497
2Bruins21100000660110000004131010000025-320.500611170072494854255048147737427202218422.22%10190.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
3Condors84200002181534300000112754120000168-2100.62518325001724948517455048147737133317613860813.33%36488.89%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
4Crunch2110000058-3110000004311010000015-420.500581300724948549550481477374519164213215.38%70100.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
5Flames9530000125187532000001578421000011011-1110.611254772007249485175550481477371583912116060915.00%49687.76%21026219446.76%1036216047.96%501111644.89%2013140219616141002497
6Griffins211000005411010000034-11100000020220.500591401724948541550481477374513322912325.00%150100.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
7IceHogs4020110069-33020010037-41000100032130.3756121800724948552550481477379221638615320.00%24291.67%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
8Marlies21100000431110000002021010000023-120.500471101724948542550481477373910122516318.75%50100.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
9Monsters22000000615110000004041100000021141.000611170172494853655048147737321822211417.14%110100.00%11026219446.76%1036216047.96%501111644.89%2013140219616141002497
10Moose825000011317-44030000149-54220000098150.31313203301724948511255048147737160371331534948.16%60690.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
11Penguins22000000734110000002111100000052341.000710170072494854455048147737311122411218.33%11281.82%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
12Phantoms210000016511000000123-11100000042230.7506121800724948533550481477374617204110110.00%8187.50%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
13Rampage3120000037-41010000001-12110000036-320.3333470072494857155048147737672244601616.25%17382.35%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
14Rocket21001000422100010002111100000021141.000471100724948536550481477373511203414214.29%10190.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
15Senators2010000115-41000000101-11010000014-310.250112007249485415504814773723212331800.00%6266.67%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
16Sharks926000011222-104220000078-150400001514-950.278122032007249485151550481477371654812117649918.37%53884.91%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
17Soldiers321000003211010000001-12200000031240.6673580172494855155048147737331626551715.88%120100.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
18Sound Tigers2020000028-61010000014-31010000014-300.0002460072494856255048147737481127451815.56%10280.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
19Stars31100100911-22010010058-31100000043130.5009182700724948562550481477376718446014214.29%21480.95%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
20Wolf Pack2020000047-31010000023-11010000024-200.0004711007249485275504814773743142649900.00%13376.92%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
21Wolves41200010910-12020000047-32100001053240.5009142301724948557550481477375914547222313.64%25388.00%01026219446.76%1036216047.96%501111644.89%2013140219616141002497
Total82333602227173183-104116180120488844411718010238599-14830.5061733004730772494851517550481477371514419100014965026412.75%4435388.04%41026219446.76%1036216047.96%501111644.89%2013140219616141002497
_Since Last GM Reset82333602227173183-104116180120488844411718010238599-14830.5061733004730772494851517550481477371514419100014965026412.75%4435388.04%41026219446.76%1036216047.96%501111644.89%2013140219616141002497
_Vs Conference55192701224105125-2027815002025164-13281112010225461-7500.45510517928405724948599255048147737102027170910283184112.89%3133788.18%11026219446.76%1036216047.96%501111644.89%2013140219616141002497
_Vs Division431318000149392121870000250391122511000124353-10320.37293160253027249485771550481477377671955407812643613.64%2382987.82%31026219446.76%1036216047.96%501111644.89%2013140219616141002497

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8283SOL1173300473151715144191000149607
All Games
GPWLOTWOTL SOWSOLGFGA
8233362227173183
Home Games
GPWLOTWOTL SOWSOLGFGA
41161812048884
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41171810238599
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
5026412.75%4435388.04%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
550481477377249485
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1026219446.76%1036216047.96%501111644.89%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2013140219616141002497


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2020-09-279Sharks3Monarchs1LBoxScore
2 - 2020-09-2819Monarchs2Admirals5LBoxScore
3 - 2020-09-2922Monarchs3Flames2WBoxScore
4 - 2020-09-3033Monarchs2Moose3LBoxScore
6 - 2020-10-0246Condors3Monarchs7WBoxScore
8 - 2020-10-0460Monarchs2Sharks3LXXBoxScore
10 - 2020-10-0667Flames2Monarchs1LBoxScore
12 - 2020-10-0878Monarchs2Condors3LBoxScore
14 - 2020-10-1089Admirals3Monarchs1LBoxScore
16 - 2020-10-12100Flames1Monarchs3WBoxScore
18 - 2020-10-14118Monarchs3Condors1WBoxScore
20 - 2020-10-16127Moose2Monarchs1LBoxScore
22 - 2020-10-18138Sharks1Monarchs2WBoxScore
23 - 2020-10-19148Monarchs1Sharks4LBoxScore
25 - 2020-10-21165Condors0Monarchs1WBoxScore
26 - 2020-10-22179Moose1Monarchs0LBoxScore
27 - 2020-10-23183Monarchs1Sharks2LBoxScore
29 - 2020-10-25197Monarchs2Griffins0WBoxScore
31 - 2020-10-27208Monarchs1Crunch5LBoxScore
33 - 2020-10-29218Griffins4Monarchs3LBoxScore
35 - 2020-10-31230Crunch3Monarchs4WBoxScore
37 - 2020-11-02241Monarchs2Soldiers1WBoxScore
39 - 2020-11-04252Monarchs2Bruins5LBoxScore
42 - 2020-11-07263Sharks3Monarchs2LBoxScore
43 - 2020-11-08271Monarchs2Admirals3LBoxScore
44 - 2020-11-09279Monarchs2Flames3LXXBoxScore
45 - 2020-11-10286IceHogs2Monarchs1LBoxScore
47 - 2020-11-12302IceHogs2Monarchs0LBoxScore
48 - 2020-11-13313Monarchs0Condors2LBoxScore
49 - 2020-11-14324Monarchs3Admirals1WBoxScore
50 - 2020-11-15330Wolves4Monarchs3LBoxScore
52 - 2020-11-17346Stars4Monarchs2LBoxScore
53 - 2020-11-18358Admirals1Monarchs3WBoxScore
55 - 2020-11-20371Monarchs5Flames2WBoxScore
56 - 2020-11-21382Moose2Monarchs1LXXBoxScore
58 - 2020-11-23398Condors1Monarchs2WBoxScore
59 - 2020-11-24407Monarchs4Phantoms2WBoxScore
60 - 2020-11-25419IceHogs3Monarchs2LXBoxScore
61 - 2020-11-26430Monarchs4Stars3WBoxScore
63 - 2020-11-28438Monarchs2Moose0WBoxScore
64 - 2020-11-29448Monarchs5Penguins2WBoxScore
65 - 2020-11-30458Flames1Monarchs5WBoxScore
67 - 2020-12-02471Senators1Monarchs0LXXBoxScore
68 - 2020-12-03484Penguins1Monarchs2WBoxScore
71 - 2020-12-06497Monarchs3Admirals1WBoxScore
72 - 2020-12-07508Monarchs3Rampage1WBoxScore
73 - 2020-12-08517Soldiers1Monarchs0LBoxScore
74 - 2020-12-09530Monarchs2Monsters1WBoxScore
76 - 2020-12-11540Moose4Monarchs2LBoxScore
77 - 2020-12-12552Monarchs3IceHogs2WXBoxScore
79 - 2020-12-14560Monarchs2Wolf Pack4LBoxScore
80 - 2020-12-15571Wolf Pack3Monarchs2LBoxScore
81 - 2020-12-16582Monarchs3Admirals2WXXBoxScore
83 - 2020-12-18593Wolves3Monarchs1LBoxScore
85 - 2020-12-20605Stars4Monarchs3LXBoxScore
86 - 2020-12-21619Bruins1Monarchs4WBoxScore
87 - 2020-12-22627Monarchs1Condors2LXXBoxScore
89 - 2020-12-24639Sharks1Monarchs2WBoxScore
91 - 2020-12-26653Monarchs2Rocket1WBoxScore
92 - 2020-12-27661Monarchs4Wolves3WXXBoxScore
93 - 2020-12-28670Flames1Monarchs6WBoxScore
94 - 2020-12-29679Monarchs0Flames4LBoxScore
96 - 2020-12-31691Sound Tigers4Monarchs1LBoxScore
97 - 2021-01-01702Monarchs2Moose1WBoxScore
98 - 2021-01-02713Rampage1Monarchs0LBoxScore
100 - 2021-01-04730Rocket1Monarchs2WXBoxScore
101 - 2021-01-05737Monarchs1Wolves0WBoxScore
102 - 2021-01-06744Monarchs1Senators4LBoxScore
104 - 2021-01-08759Condors3Monarchs2LXXBoxScore
105 - 2021-01-09767Monarchs1Sharks2LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
106 - 2021-01-10780Monsters0Monarchs4WBoxScore
107 - 2021-01-11791Monarchs0Rampage5LBoxScore
108 - 2021-01-12799Monarchs2Marlies3LBoxScore
109 - 2021-01-13808Marlies0Monarchs2WBoxScore
111 - 2021-01-15820Monarchs3Moose4LBoxScore
113 - 2021-01-17831Flames2Monarchs0LBoxScore
114 - 2021-01-18843Admirals2Monarchs4WBoxScore
116 - 2021-01-20855Monarchs1Sound Tigers4LBoxScore
117 - 2021-01-21866Admirals2Monarchs4WBoxScore
118 - 2021-01-22877Monarchs0Sharks3LBoxScore
119 - 2021-01-23881Monarchs1Soldiers0WBoxScore
123 - 2021-01-27902Phantoms3Monarchs2LXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
6,629,704$ 3,005,384$ 2,519,384$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 3,157,927$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 52,463$ 52,463$




OverallHomeVisitor
Year 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