Moose

GP: 4 | W: 2 | L: 2 | OTL: 0 | P: 4
GF: 19 | GA: 14 | PP%: 21.43% | PK%: 81.82%
GM : Luc Forget | Morale : 50 | Team Overall : 63
Next Games #60 vs Bruins

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
1Pierre Engvall0XX100.006438927291828667586663656471733950670
2Jimmy Vesey0XX100.007042946781798365566164666878744150660
3Vinni Lettieri0X100.007036876567848566736467636670723550650
4Justin Kirkland0X100.007339836380797264716560636669715550640
5Sam Gagner0XX100.006337936472867165746658646776784250640
6Ryan Lomberg0XX100.007775736866748963556160625973723450630
7Landon Slaggert0X100.006337856670797664586259656163646650630
8Yegor Sidorov0X100.006237916171937060635961576263616450610
9Isaac Ratcliffe0X100.008347705692707455575455585666687350600
10Matvey Petrov0X100.006738875876747956595357555862644950580
11Daniel Torgersson0X100.007440905483677153555251565463657550570
12David Goyette0X100.005637885865697056635755545861636850570
13Matt Benning0X100.007239776478827063306558755073713850670
14Pierre-Olivier Joseph0X100.006838816977867967306854625166677750660
15Isaak Phillips0X100.007441736384838562306559645063665450660
16Matthew Kessel0X100.007039856581838561306458634965674750650
17Matthew Robertson0X100.007642746189858459306056624964667050650
18Mason Millman0X100.006338885772647256305654584664666050590
19Stanislav Svozil0X100.006239825771688256306053554662646750590
Scratches
1Noel Gunler0X100.006740795776797056615958555764667250590
2Gavin Hayes0X100.006437945773816854585655575361636750580
3Jakub Stancl0X100.007539945684696054595350585260626450570
4Josh Davies0X100.005943635369656252555150545061634950540
5Tyler Tucker0X100.007766616578817664306261685265674750660
6Declan Chisholm0X100.006235906875877966307159575264664750650
7Montana Onyebuchi0X100.007561505684678155305453574565674250610
TEAM AVERAGE100.00694282627778766049605761556667555062
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
1Devin Cooley100.00758479887473757473757468815250740
Scratches
1Aleksei Kolosov100.00747773747372747372747363696450710
TEAM AVERAGE100.0075817681747375747375746675585073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Patrick Roy82848387888258CAN5995,000,000$


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
1Justin KirklandMoose (Wpg)C44152201383481811.76%59824.7400000000000178.79%6600001.0100000211
2Matthew RobertsonMoose (Wpg)D423510010920101210.00%39423.5200000000001075.86%5800001.0600000111
3Ryan LombergMoose (Wpg)LW/RW4224060961682012.50%28521.3500000000000066.67%6600100.9400000020
4Matthew KesselMoose (Wpg)D413409510791711.11%38621.630000000000000.00%000000.9200100002
Team Total or Average1699183175423079275711.39%1336422.8100000000001173.68%19000100.9900100344
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
Team Total or Average0.0000.0000.000


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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aleksei KolosovG232002-01-04No185 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Daniel TorgerssonLW232002-01-26No199 Lbs6 ft3NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
David GoyetteC212004-03-27No172 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Declan ChisholmD252000-01-12No190 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Devin CooleyG281997-05-25No192 Lbs6 ft5NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Gavin HayesLW212004-05-14No177 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Isaac RatcliffeLW261999-02-15No200 Lbs6 ft6NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Isaak PhillipsD232001-09-28No205 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jakub StanclC202005-04-10No201 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Jimmy VeseyLW/RW321993-05-26No203 Lbs6 ft2NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Josh DaviesLW212004-03-24No197 Lbs5 ft9NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Justin KirklandC291996-08-02No183 Lbs6 ft3NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Landon SlaggertLW232002-06-25No180 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Mason MillmanD242001-07-18No175 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt BenningD311994-05-25No203 Lbs6 ft1NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Matthew KesselD252000-06-23No205 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matthew RobertsonD242001-03-09No211 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Matvey PetrovLW222003-03-12No178 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Montana OnyebuchiD252000-03-08No201 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Noel GunlerRW232001-10-07No176 Lbs6 ft2NoNoNo4RFAPro & Farm900,000$0$0$NoLink
Pierre EngvallLW/RW291996-05-31No215 Lbs6 ft5NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Pierre-Olivier JosephD261999-07-01No185 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Ryan LombergLW/RW301994-12-09No184 Lbs5 ft9NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Sam GagnerC/RW361989-08-10No200 Lbs5 ft11NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Stanislav SvozilD222003-01-17No183 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Tyler TuckerD252000-03-01No204 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Vinni LettieriC301995-02-06No184 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Yegor SidorovRW212004-06-18No184 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.29192 Lbs6 ft12.54512,500$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Ryan Lomberg30122
320122
4Justin Kirkland10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Matthew Kessel30122
3Matthew Robertson20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Ryan Lomberg40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Matthew Kessel40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Ryan Lomberg40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Matthew Kessel40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Matthew Kessel40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Ryan Lomberg40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Matthew Kessel40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, Matthew Robertson, , Matthew Robertson
Penalty Shots
, , , Ryan Lomberg,
Goalie
#1 : , #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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
44L119365518612441388900
All Games
GPWLOTWOTL SOWSOLGFGA
42200001914
Home Games
GPWLOTWOTL SOWSOLGFGA
110000071
Visitor Games
GPWLOTWOTL SOWSOLGFGA
31200001213
Last 10 Games
WLOTWOTL SOWSOL
220000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
14321.43%11281.82%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
55656608830
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8314158.87%589362.37%436665.15%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1229374224323


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
2 - 2025-08-1613Moose3Barracuda5LBoxScore
4 - 2025-08-1821Moose6Reign4WBoxScore
5 - 2025-08-1931Condors1Moose7WBoxScore
7 - 2025-08-2150Moose3Roadrunners4LBoxScore
9 - 2025-08-2360Bruins-Moose-
12 - 2025-08-2682Barracuda-Moose-
14 - 2025-08-2893Moose-Bruins-
15 - 2025-08-29103Moose-Barracuda-
18 - 2025-09-01125Reign-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
22 - 2025-09-05144Roadrunners-Moose-



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
4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 143,500$ 143,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 18 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