Monsters

GM : Stanislav Trybula Morale : 99 Team Overall : 55
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 SP
1Sebastian Aho (R)XXX100.00574078796475746250464360555050082600
2Brad Malone (A)XXX100.00789958665952686568404066506162030590
3Matthew FordX100.00607563625769666277364258594444085550
4Josh Leivo (R)XX100.00584266705057646360374857504646087540
5Nikita Scherbak (R)XX100.00646671725151605668353360504444074530
6Turner ElsonXX100.00586860595266635869333656504444088520
7Michael SchumacherX100.00647863615966655465273357504444070520
8Andrew CrescenziX100.00607563645765635669323158504444052520
9Ryan Haggerty (R)X100.00747375585664635564283655504444074520
10Dylan Strome (R)X100.00555555555555555555404055555555055510
11Riley BraceXX100.00676772625247555668353160504444061510
12Garrett MitchellX100.00586860615266635768323456504444087510
13Mark Barberio (C)X100.00644288766969737225444071506960077630
14Chris Butler (A)X100.00567263755964676325353057506869089560
15Conor AllenX100.00597766706269705725292758504646085540
16Joel ChouinardX100.00606967625755576425343161504848036520
17Gus YoungX100.00567263665968705725292956504545083520
Scratches
1Brody SutterX99.49657863675966645668313560504545077540
2Darren KramerX100.00577758625866655465283353504444043510
3Ryan Olsen (R)X100.00586960615366645464293154504444026500
4T.J. BrennanX72.01737872677480776925454166575555063630
5Phil LaneXX100.00607562635763625364273256504444058510
6Kirill Gotovets (R)X100.00556461655560655725302752504444072500
7Jesper Pettersson (R)X100.00556561635661665325242851504444025490
TEAM AVERAGE98.7961696565586365595234355851484806654
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
1Philipp Grubauer100.0075786884797374787670556964091720
2Sam Brittain (R)100.0064718272657064676363475555087640
Scratches
1Trevor Cann100.0055576466676260626261594761024610
2Kent Patterson100.0057505776706257575762665149024590
TEAM AVERAGE100.006364687570676466656457565705764
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joe Sacco59504150454546USA475100,000$


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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Josh LeivoMonstersMonsters (COL)LW/RW2318102810605699397118.18%1421.:.0962800017340.00%1510710001.1500
2Sebastian AhoMonstersMonsters (COL)C/LW/RW23812201420209643658.33%2523.:.27134011134136.36%881159000.7400
3Mark BarberioMonstersMonsters (COL)D2369155004114871904.05%9230.:.1412310146300.00%04158000.4300
4Brad MaloneMonstersMonsters (COL)C/LW/RW2139128211125846325414.76%1317.:.34000011381050.97%3592417000.6500
5Matthew FordMonstersMonsters (COL)RW236410775453351254911.76%818.:.2711200001038.89%184010000.4700
6Brody SutterMonstersMonsters (COL)C2008848860402110210.00%1517.:.1803300080042.91%247139000.4600
7Dylan StromeMonstersMonsters (COL)C21145160362613193.85%915.:.3002200040036.00%2252111000.3100
8Nikita ScherbakMonstersMonsters (COL)LW/RW23145140495721321.75%1820.:.58000000340048.72%39448100.2100
9T.J. BrennanMonstersMonsters (COL)D1313443030313525182.86%3725.:.4601100024010.00%01122000.2400
10Chris ButlerMonstersMonsters (COL)D2321313630334518184.44%4424.:.4200010120010.00%01222000.1100
11Conor AllenMonstersMonsters (COL)D16022347451912580.00%2320.:.2300000022000.00%0315000.1200
12Joel ChouinardMonstersMonsters (COL)D150226161017139120.00%2423.:.2900000019000.00%0615000.1100
13Gus YoungMonstersMonsters (COL)D231127271524231274.35%3622.:.010000003000.00%0522100.0800
14Turner ElsonMonstersMonsters (COL)C/LW23011-260434321330.00%1016.:.5000000000047.83%2532111000.0500
15Ryan HaggertyMonstersMonsters (COL)RW23011-63030452917170.00%1716.:.14000000100050.00%18186000.0500
16Riley BraceMonstersMonsters (COL)LW/RW23000-500393614320.00%2718.:.11000000270042.42%332217000.0000
17Michael SchumacherMonstersMonsters (COL)LW11000052401310270.00%112.:.40000000000100.00%274000.0000
18Kirill GotovetsMonstersMonsters (COL)D6000-12090120.00%618.:.140000002000.00%003000.0000
19Andrew CrescenziMonstersMonsters (COL)C10000-11210127550.00%009.:.5100000000053.23%6251000.0000
20Phil LaneMonstersMonsters (COL)RW/D10000-2372594130.00%812.:.180000003000.00%016000.0000
21Garrett MitchellMonstersMonsters (COL)RW2300000029236240.00%1010.:.5100000000057.14%7142000.0001
Team Total or Average3964771118546874656826638413835745.59%437765819.3491423584332241928016645.17%1366530278200.31011416639610
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
1Philipp GrubauerMonstersMonsters (COL)21164196.7%1.2614252030900564200.0%0211791
2Sam BrittainMonstersMonsters (COL)201193.5%2.501440069254000.0%0221001
Team Total or Average2316520.9641.3815692036992618200.00002322792


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 Force Waivers Contract StatusType Current Salary Salary RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Andrew CrescenziMonsters (COL)C2429.7.1992 3:13:26No198 Lbs6 ft4NoNo7RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Brad MaloneMonsters (COL)C/LW/RW2820.5.1989 16:04:40No207 Lbs6 ft2NoNo1UFAPro & Farm800,000$Link
Brody SutterMonsters (COL)C2526.9.1991 3:19:47No203 Lbs6 ft5NoNo3RFAPro & Farm1,000,000$600,000$600,000$Link
Chris ButlerMonsters (COL)D3027.10.1986No196 Lbs6 ft1NoNo1UFAPro & Farm1,000,000$Link
Conor AllenMonsters (COL)D261.7.1990No210 Lbs6 ft1NoNo8RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Darren KramerMonsters (COL)LW2519.11.1991 4:02:12No210 Lbs6 ft1NoNo7RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Dylan StromeMonsters (COL)C207.3.1997 14:52:45Yes90 Lbs6 ft0NoNo4ELCPro & Farm399,999$1,500,000$1,500,000$1,500,000$
Garrett MitchellMonsters (COL)RW242.9.1992 13:46:10No183 Lbs6 ft1NoNo5RFAFarm Only100,000$100,000$100,000$100,000$100,000$Link
Gus YoungMonsters (COL)D2510.7.1991No190 Lbs6 ft2NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Jesper PetterssonMonsters (COL)D2216.7.1994Yes187 Lbs5 ft9NoNo9ELCFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Joel ChouinardMonsters (COL)D278.4.1990No187 Lbs6 ft1NoNo5UFAFarm Only100,000$100,000$100,000$100,000$100,000$Link
Josh LeivoMonsters (COL)LW/RW2426.5.1993 2:00:20Yes173 Lbs6 ft1NoNo1RFAPro & Farm1,100,000$Link
Kent PattersonMonsters (COL)G2715.9.1989 3:26:58No180 Lbs6 ft1NoNo7UFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Kirill GotovetsMonsters (COL)D2525.6.1991Yes175 Lbs5 ft11NoNo10RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Mark BarberioMonsters (COL)D2723.3.1990No199 Lbs6 ft1NoNo2UFAPro & Farm1,700,000$1,700,000$Link
Matthew FordMonsters (COL)RW329.10.1984No207 Lbs6 ft1NoNo5UFAFarm Only100,000$100,000$100,000$100,000$100,000$Link
Michael SchumacherMonsters (COL)LW2325.8.1993No203 Lbs6 ft5NoNo8RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Nikita ScherbakMonsters (COL)LW/RW2129.12.1995Yes175 Lbs6 ft1NoNo10ELCFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Phil LaneMonsters (COL)RW/D2429.5.1992 5:08:04No203 Lbs6 ft2NoNo7RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Philipp Grubauer (1 Way Contract)Monsters (COL)G2525.11.1991 6:32:38No184 Lbs6 ft1NoNo2RFAPro & Farm1,500,000$1,500,000$Link
Riley BraceMonsters (COL)LW/RW257.3.1992No185 Lbs5 ft11NoNo8RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Ryan HaggertyMonsters (COL)RW244.3.1993Yes201 Lbs6 ft0NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Ryan OlsenMonsters (COL)C2325.3.1994Yes187 Lbs6 ft1NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Sam BrittainMonsters (COL)G2510.5.1992Yes229 Lbs6 ft3NoNo3RFAPro & Farm1,000,000$600,000$600,000$Link
Sebastian AhoMonsters (COL)C/LW/RW1926.7.1997 17:13:46Yes78 Lbs5 ft11NoNo4ELCPro & Farm400,000$1,500,000$1,500,000$1,500,000$
T.J. Brennan (Out of Payroll)Monsters (COL)D283.4.1989No216 Lbs6 ft1NoNo2UFAPro & Farm1,400,000$1,400,000$Link
Trevor CannMonsters (COL)G2730.5.1989No180 Lbs5 ft11NoNo5UFAFarm Only100,000$100,000$100,000$100,000$100,000$
Turner ElsonMonsters (COL)C/LW2413.9.1992No185 Lbs6 ft0NoNo8RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2824.96186 Lbs6 ft15.68432,143$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Josh LeivoBrad MaloneMatthew Ford40113
2Sebastian AhoTurner ElsonNikita Scherbak30122
3Riley BraceAndrew CrescenziRyan Haggerty20131
4Sebastian AhoDylan StromeGarrett Mitchell10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark BarberioJoel Chouinard40113
2Chris Butler30122
3Mark BarberioConor Allen20140
4Gus Young10140
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Josh LeivoSebastian AhoMatthew Ford60104
2Josh LeivoBrad MaloneNikita Scherbak40104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark Barberio60104
2Chris ButlerJoel Chouinard40104
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brad MaloneNikita Scherbak80140
2Sebastian AhoRiley Brace20140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark Barberio80140
2Joel ChouinardConor Allen20140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brad Malone80140Mark Barberio80140
2Andrew Crescenzi20140Joel ChouinardConor Allen20140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brad MaloneNikita Scherbak60122
2Andrew CrescenziRiley Brace40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gus YoungJoel Chouinard60122
2Chris ButlerConor Allen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Josh LeivoBrad MaloneSebastian AhoMark Barberio
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sebastian AhoBrad MaloneNikita ScherbakMark Barberio
Extra Forwards
Normal PowerPlayPenalty Kill
Dylan Strome, Turner Elson, Ryan HaggertyDylan Strome, Turner ElsonRyan Haggerty
Extra Defensemen
Normal PowerPlayPenalty Kill
Gus Young, Joel Chouinard, Chris ButlerGus YoungJoel Chouinard, Chris Butler
Penalty Shots
Matthew Ford, , Sebastian Aho, Josh Leivo, Brad Malone
Goalie
#1 : Philipp Grubauer, #2 : Sam Brittain


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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1MonstersCrunch642000001210280.6671220320019101262242412422639525812210315314214.29%14378.57%023453044.15%26455647.48%11928042.50%535318610221423208
2MonstersIceCaps54100000106480.80010142400191012618924124226395223887816111327.27%9188.89%023453044.15%26455647.48%11928042.50%535318610221423208
3MonstersBarons743000001411380.571142236001910126234241242263953071333292121417.14%12375.00%123453044.15%26455647.48%11928042.50%535318610221423208
4MonstersComets54100000119280.800111526001910126194241242263952049417915613323.08%8275.00%123453044.15%26455647.48%11928042.50%535318610221423208
Vs Division54100000119280.800111526001910126194241242263952049417915613323.08%8275.00%123453044.15%26455647.48%11928042.50%535318610221423208
Vs Conference171250000035269240.7063551860019101266172412422639573431558652938718.42%29679.31%223453044.15%26455647.48%11928042.50%535318610221423208
Since Last GM Reset2316700000473611320.69647711180019101268412412422639599243768968252917.31%43979.07%223453044.15%26455647.48%11928042.50%535318610221423208
Total2316700000473611320.69647711180019101268412412422639599243768968252917.31%43979.07%223453044.15%26455647.48%11928042.50%535318610221423208

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2332W1477111884199243768968200
All Games
GPWLOTWOTL SOWSOLGFGA
2316700004736
Home Games
GPWLOTWOTL SOWSOLGFGA
129300002519
Visitor Games
GPWLOTWOTL SOWSOLGFGA
117400002217
Last 10 Games
WLOTWOTL SOWSOL
333100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
52917.31%43979.07%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
241242263951910126
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23453044.15%26455647.48%11928042.50%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
535318610221423208


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
DateMatchup Result Detail
Sun, Nov 24Monsters@MonstersComets1,Monsters2 (OT)RECAP
Tue, Nov 26Monsters@MonstersComets4,Monsters1RECAP
Thu, Nov 28Monsters@MonstersMonsters4,Comets2RECAP
Sat, Nov 30Monsters@MonstersMonsters2,Comets1RECAP
Mon, Dec 2Monsters@MonstersComets1,Monsters2 (OT)RECAP
Sun, Dec 8Monsters@MonstersIceCaps1,Monsters3RECAP
Tue, Dec 10Monsters@MonstersIceCaps1,Monsters2RECAP
Thu, Dec 12Monsters@MonstersMonsters2,IceCaps1RECAP
Sat, Dec 14Monsters@MonstersMonsters1,IceCaps2 (OT)RECAP
Mon, Dec 16Monsters@MonstersIceCaps1,Monsters2 (OT)RECAP
Sun, Dec 22Monsters@MonstersMonsters1,Barons2RECAP
Tue, Dec 24Monsters@MonstersMonsters3,Barons1RECAP
Thu, Dec 26Monsters@MonstersBarons1,Monsters3RECAP
Sat, Dec 28Monsters@MonstersBarons1,Monsters3RECAP
Mon, Dec 30Monsters@MonstersMonsters1,Barons3RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Wed, Jan 1Monsters@MonstersBarons2,Monsters1 (OT)RECAP
Fri, Jan 3Monsters@MonstersMonsters2,Barons1 (OT)RECAP
Sat, Jan 4Monsters@MonstersMonsters3,Crunch1RECAP
Sun, Jan 5Monsters@MonstersMonsters1,Crunch2RECAP
Mon, Jan 6Monsters@MonstersCrunch1,Monsters2 (OT)RECAP
Tue, Jan 7Monsters@MonstersCrunch4,Monsters1RECAP
Wed, Jan 8Monsters@MonstersMonsters2,Crunch1 (OT)RECAP
Thu, Jan 9Monsters@MonstersCrunch1,Monsters3RECAP



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
29 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
920,000$ 770,000$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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