Moose

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Mat Peltier | Morale : 50 | Team Overall : 58
Next Games vs Checkers
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
1Alexander BurmistrovXXX100.007142858068625763746358692567676450620
2Bracken KearnsXX100.007571856871828862786158645544446450620
3Chris TerryX100.007168797168565371506871646744446850620
4Lawson CrouseX100.009198817782598561365059712555556550620
5Phillip Di GiuseppeX100.008357897973576959256359587559596450610
6Andrew AgozzinoXX100.006966776766808660755660615744446350600
7Markus HannikainenX100.007343937170527058555959672547476450590
8Marco RoyX100.00616570635150605665555359504444150530
9Tyson StrachanX100.008180836880738048254839683762635450630
10Philip LarsenX100.006541947567695973255548632560606050620
11Adam PardyX100.008384806884505149254741713967685350610
12Trevor CarrickX100.007470836670758056255246624444445850600
13Luke WitkowskiX100.008399427178456152445048602555565650580
14Jacob Middleton (R)X100.007376666076687352254842614044445450570
15Keaton Thompson (R)X100.007267856267677247253841593944445250550
16Jonathan RacineX100.006272376672707744254339533744444850540
Scratches
1Joseph LaBateX100.006474416574596152654654565144445450530
2Dylan Sadowy (R)X100.007268806668474944503844584244445050500
3Anton Cederholm (R)X100.008376996476363541252839633744444950520
TEAM AVERAGE100.00746976697261675543515062425050555058
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
1Andrew Hammond100.00525063795453505652523050515350550
2Jake Paterson (R)100.00515670664951505649493044445150520
Scratches
TEAM AVERAGE100.0052536773525250565151304748525054
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 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
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


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 CONT StatusType Current Salary Salary 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
Adam PardyMoose (Win)D331985-07-14 1:21:32 AMNo227 Lbs6 ft4NoNoNo1UFAPro & Farm625,000$Link
Alexander BurmistrovMoose (Win)C/LW/RW261991-10-20No180 Lbs6 ft1NoNoNo4RFAPro & Farm975,000$975,000$975,000$975,000$Link
Andrew AgozzinoMoose (Win)C/LW271991-01-02No187 Lbs5 ft10NoNoNo2RFAPro & Farm725,000$725,000$Link
Andrew HammondMoose (Win)D301988-02-11No215 Lbs6 ft2NoNoNo1UFAPro & Farm1,350,000$Link
Anton CederholmMoose (Win)D231995-02-21Yes204 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Bracken KearnsMoose (Win)C/LW371981-05-12No200 Lbs6 ft0NoNoNo2UFAPro & Farm650,000$650,000$Link
Chris TerryMoose (Win)LW281990-04-07No195 Lbs5 ft10NoNoNo1UFAPro & Farm525,000$Link
Dylan SadowyMoose (Win)LW221996-04-01Yes180 Lbs6 ft1NoNoNo3RFAPro & Farm881,000$881,000$881,000$Link
Jacob MiddletonMoose (Win)D221996-01-01Yes200 Lbs6 ft3NoNoNo2RFAPro & Farm500,000$500,000$Link
Jake PatersonMoose (Win)G241994-05-02Yes176 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$Link
Jonathan RacineMoose (Win)D251993-05-28No194 Lbs6 ft2NoNoNo1RFAPro & Farm650,000$Link
Joseph LaBateMoose (Win)C251993-04-16No210 Lbs6 ft5NoNoNo1RFAPro & Farm650,000$Link
Keaton ThompsonMoose (Win)D231995-09-13Yes182 Lbs6 ft0NoNoNo2RFAPro & Farm700,000$700,000$Link
Lawson CrouseMoose (Win)LW211997-06-23No220 Lbs6 ft4NoNoNo2RFAPro & Farm950,000$950,000$Link
Luke WitkowskiMoose (Win)D281990-04-14No217 Lbs6 ft2NoNoNo2UFAPro & Farm675,000$675,000$Link
Marco RoyMoose (Win)C231994-11-04No175 Lbs6 ft0NoNoNo1RFAPro & Farm800,000$Link
Markus HannikainenMoose (Win)LW251993-03-25No195 Lbs6 ft2NoNoNo1RFAPro & Farm850,000$Link
Philip LarsenMoose (Win)D281989-12-07No182 Lbs6 ft0NoNoNo1UFAPro & Farm750,000$Link
Phillip Di GiuseppeMoose (Win)LW241993-10-08No200 Lbs6 ft0NoNoNo2RFAPro & Farm650,000$650,000$Link
Trevor CarrickMoose (Win)D241994-07-03No186 Lbs6 ft2NoNoNo1RFAPro & Farm650,000$Link
Tyson StrachanMoose (Win)D331985-07-14 1:21:32 AMNo215 Lbs6 ft3NoNoNo1UFAPro & Farm675,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2126.24197 Lbs6 ft11.67737,190$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lawson CrouseAlexander BurmistrovPhillip Di Giuseppe40122
2Chris TerryBracken KearnsAndrew Agozzino30122
3Phillip Di GiuseppeAndrew AgozzinoLawson Crouse20122
4Markus HannikainenMarco RoyChris Terry10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyson StrachanPhilip Larsen40122
2Adam PardyTrevor Carrick30122
3Jacob MiddletonLuke Witkowski20122
4Keaton ThompsonJonathan Racine10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lawson CrouseAlexander BurmistrovPhillip Di Giuseppe60122
2Chris TerryBracken KearnsAndrew Agozzino40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyson StrachanPhilip Larsen60122
2Adam PardyTrevor Carrick40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lawson CrouseChris Terry60122
2Alexander BurmistrovBracken Kearns40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyson StrachanPhilip Larsen60122
2Adam PardyTrevor Carrick40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Lawson Crouse60122Tyson StrachanPhilip Larsen60122
2Chris Terry40122Adam PardyTrevor Carrick40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Lawson CrouseChris Terry60122
2Alexander BurmistrovBracken Kearns40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyson StrachanPhilip Larsen60122
2Adam PardyTrevor Carrick40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lawson CrouseAlexander BurmistrovPhillip Di GiuseppeTyson StrachanPhilip Larsen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lawson CrouseAlexander BurmistrovPhillip Di GiuseppeTyson StrachanPhilip Larsen
Extra Forwards
Normal PowerPlayPenalty Kill
Markus Hannikainen, Marco Roy, Phillip Di GiuseppeMarkus Hannikainen, Marco RoyPhillip Di Giuseppe
Extra Defensemen
Normal PowerPlayPenalty Kill
Jacob Middleton, Luke Witkowski, Keaton ThompsonJacob MiddletonLuke Witkowski, Keaton Thompson
Penalty Shots
Lawson Crouse, Chris Terry, Alexander Burmistrov, Bracken Kearns, Phillip Di Giuseppe
Goalie
#1 : Andrew Hammond, #2 : Jake Paterson


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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 - 2018-09-1814Moose-Checkers-
3 - 2018-09-1926Pirates-Moose-
4 - 2018-09-2045Moose-Pirates-
5 - 2018-09-2157Checkers-Moose-
8 - 2018-09-2480Bears-Moose-
9 - 2018-09-25100Crunch-Moose-
12 - 2018-09-28119Moose-Bears-
Trade Deadline --- Trades can’t be done after this day is simulated!
13 - 2018-09-29127Pirates-Moose-
15 - 2018-10-01148Moose-Crunch-
16 - 2018-10-02151Moose-Pirates-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
5 0 - 0.00%0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,548,100$ 1,355,600$ 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$ 16 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