Login

Moose
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Pierre-Gabriel Turgeon | Morale : 40 | Team Overall : 59
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerPierre-Gabriel Turgeon
CoachMark Morrison
DivisionCentral
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team22
Farm Team21
Contract Limit43 / 250
Prospects26


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
1Michael Eyssimont0XX100.00714963687082836673676062656769040620272925,000$
2David Gustafsson0X100.00573795648375776278615572566263040610242925,000$
3Jeff Malott0X100.00804271618987856061575962606769040610283925,000$
4Kristian Reichel0X100.00683986627978805879615962606567040600263925,000$
5Brendan Brisson (R)0X100.00593972666884716567646358656264040600223925,000$
6Daniel Torgersson (R)0X100.00743994588380735758556160596163040590223925,000$
7Chaz Lucius (R)0X100.00653984607477615965585756636062040580213925,000$
8Brad Lambert (R)0X100.00603882646985615955525653636062040570203925,000$
9Jaydon Dureau0X100.005836955567646254585257515562640405502331,000,000$
10Tyson Kozak0X100.005839775467716952585354515361630405402131,000,000$
11Leon Gawanke0X100.00663984627583856130626059506466040610253925,000$
12Ville Heinola0X100.00644078667483806530695860506264040610233925,000$
13Declan Chisholm0X100.00633889627879815730645358486365040590242925,000$
14Simon Lundmark0X100.00723992558166825430565355456365040570233925,000$
15Tyrel Bauer (R)0X100.00764756538563675230545357456163040550223925,000$
16Ryan O'Rourke (R)0X100.00613792537064725230545051456163040540223925,000$
Scratches
1Jack Drury0X100.00573778636784876186626065636465040600241925,000$
2Dylan Samberg0X100.006943846590858064306654764963640406202542,164,000$
TEAM AVERAGE100.0065408261767775595359575955636504059
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 SPAgeContractSalary
1Mikhail Berdin0100.0073767773727173727173726471040600263925,000$
Scratches
1Arturs Silovs0100.00757071877473757473757462670406102331,000,000$
2Arvid Holm0100.0071656689706971706971706573040580253925,000$
3Calle Clang (R)0100.0068555679676668676668676165040570223925,000$
TEAM AVERAGE100.007267688271707271707271636904059
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mark Morrison67687068928756CAN602300,000$


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
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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Arturs SilovsMoose (WPG)G232000-03-22No203 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link
Arvid HolmMoose (WPG)G251997-11-03No213 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Brad LambertMoose (WPG)RW202002-12-19Yes175 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Brendan BrissonMoose (WPG)C222000-10-22Yes179 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Calle ClangMoose (WPG)G222001-05-20Yes194 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Chaz LuciusMoose (WPG)C212002-05-02Yes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Daniel TorgerssonMoose (WPG)LW222001-01-26Yes199 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
David GustafssonMoose (WPG)C241999-04-11No212 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link
Declan ChisholmMoose (WPG)D241999-01-12No185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link
Dylan SambergMoose (WPG)D251998-01-24No219 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm2,164,000$0$0$No2,164,000$2,164,000$2,164,000$------2,164,000$2,164,000$2,164,000$------NoNoNo------Link
Jack DruryMoose (WPG)C241999-02-03No174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link
Jaydon DureauMoose (WPG)LW232000-01-20No173 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link
Jeff MalottMoose (WPG)LW281995-08-07No201 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Kristian ReichelMoose (WPG)C261997-06-11No192 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Leon GawankeMoose (WPG)D251998-05-31No186 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Michael EyssimontMoose (WPG)C/RW271995-09-09No180 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link
Mikhail BerdinMoose (WPG)G261997-03-01No163 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Ryan O'RourkeMoose (WPG)D222001-05-16Yes178 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Simon LundmarkMoose (WPG)D231999-10-08No201 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Tyrel BauerMoose (WPG)D222001-03-23Yes206 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Tyson KozakMoose (WPG)C212001-12-29No173 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link
Ville HeinolaMoose (WPG)D232000-03-02No185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2223.55190 Lbs6 ft12.82991,545$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jeff MalottDavid Gustafsson40122
230122
3Brendan Brisson20122
4Daniel Torgersson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Leon Gawanke30122
3Leon Gawanke20122
4Declan ChisholmSimon Lundmark10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jeff MalottDavid Gustafsson60122
2Brendan Brisson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Leon Gawanke60122
2Declan Chisholm40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Jeff Malott40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Leon GawankeSimon Lundmark40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Leon Gawanke40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Jeff Malott40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Leon Gawanke60122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jeff Malott
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jeff Malott
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, Leon Gawanke, Declan ChisholmLeon Gawanke,
Penalty Shots
, , Daniel Torgersson, ,
Goalie
#1 : , #2 : Mikhail Berdin
Custom OT Lines Forwards
, Daniel Torgersson, , David Gustafsson, , , , Jeff Malott, Brendan Brisson, Chaz Lucius, Brad Lambert
Custom OT Lines Defensemen
, Leon Gawanke, Declan Chisholm, Simon Lundmark, Tyrel Bauer


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%000%0000%000%000%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%000%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%000%000%
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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,181,400$ 2,181,400$ 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$ 2 0$ 0$




Moose Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Moose Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Moose Career Team Stats

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

Moose Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Moose Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA