Out of Date Version of the STHS! Please update your version!
Login

Moose
GP: 6 | W: 2 | L: 4
GF: 9 | GA: 16 | PP%: 6.45% | PK%: 77.50%
GM : Mika | Morale : 50 | Team Overall : 59
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Moose
2-4-0, 4pts
0
FINAL
3 Wild
16-9-0, 32pts
Team Stats
L3StreakW3
1-2-0Home Record7-6-0
1-2-0Away Record9-3-0
2-4-0Last 10 Games6-4-0
1.50Goals Per Game2.64
2.67Goals Against Per Game2.28
6.45%Power Play Percentage16.90%
77.50%Penalty Kill Percentage88.00%
Wild
16-9-0, 32pts
4
FINAL
1 Moose
2-4-0, 4pts
Team Stats
W3StreakL3
7-6-0Home Record1-2-0
9-3-0Away Record1-2-0
6-4-0Last 10 Games2-4-0
2.64Goals Per Game1.50
2.28Goals Against Per Game2.67
16.90%Power Play Percentage6.45%
88.00%Penalty Kill Percentage77.50%
Team Leaders
Goals
Roby Jarventie
3
Assists
Mikael Pyyhtia
3
Points
Mikael Pyyhtia
3
Plus/Minus
Marcus Bjork
2
Jeremy HelvigWins
Jeremy Helvig
2
Save Percentage
Joel Blomqvist
1

Team Stats
Goals For
9
1.50 GFG
Shots For
114
19.00 Avg
Power Play Percentage
6.5%
2 GF
Offensive Zone Start
36.0%
Goals Against
16
2.67 GAA
Shots Against
124
20.67 Avg
Penalty Kill Percentage
77.5%%
9 GA
Defensive Zone Start
43.0%
Team Info

General ManagerMika
CoachTodd Richards
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,992
Season Tickets0


Roster Info

Pro Team21
Farm Team22
Contract Limit43 / 51
Prospects35


Team History

This Season2-4
History0-0-0
Stanley Cup0


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
1Tyler PitlickX100.009046957775567562315956692567676550640332800,000$
2Roby Jarventie (R)X100.007779726879575566506266666344446650620221894,167$
3Mikael PyyhtiaX100.006541996363647464326155772545456450610233925,000$
4Fredrik KarlstromX100.007973946173747861765760665744446450610271750,000$
5Samu Tuomaala (R)X100.007262946562697261506058625544446350600223863,333$
6Clark BishopXX100.007072666672717657715056645358586050600292775,000$
7Rasmus KupariXXX100.0079708077706470455856535942606154505902521,000,000$
8Judd Caulfield (R)X100.008177896177646756505256665344446150590243837,500$
9Joona KoppanenXX100.007975886375758152655347644544445750580272775,000$
10Matt FilipeXX100.007775826775606349614547624544445550550271925,000$
11Tucker Robertson (R)X100.007468876168575950634551614844445550540213950,000$
12Marcus Bjork (R)X100.007976856576748055254945654347475850620272775,000$
13Tyler Kleven (R)X100.0076777568776367512546426240444455505902331,125,000$
14Simon JohanssonX100.007066806566768349253746584444445450580263925,000$
15Michael KarowX100.007675786575636848254040613844445350580263775,000$
16Markus Niemelainen (R)X100.007976856576586245253540623846465150570271925,000$
Scratches
1Keegan KolesarXS199908275815794653661597225656768506602821,000,000$
TEAM AVERAGE100.00787084677365725545515264434949595060
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
1Joel Blomqvist (R)100.00624759726562697168683044446450620233925,000$
2Jeremy Helvig100.00615265796562586562613044446150610281750,000$
Scratches
1Dylan Wells100.00504556725152505553523044445150530271750,000$
2Jean-Francois Berube100.00474759664648505350503047474950510331775,000$
TEAM AVERAGE100.0055486072575657615858304545565057
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Richards67747163817667USA552925,000$


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
1Mikael PyyhtiaMoose (WPG)C60331200783100.00%210217.08000125000000025.74%10100000.5900000000
2Keegan KolesarMoose (WPG)RW6213-1441018151331115.38%312520.901013190000170034.69%4900000.4800002000
3Fredrik KarlstromMoose (WPG)C6123020315125138.33%011719.620225260000130048.51%13400000.5100000001
4Roby JarventieMoose (WPG)LW6303155126164618.75%111819.690008240000151066.67%300000.5100010200
5Samu TuomaalaMoose (WPG)RW611202011013327.69%211619.48000030001170132.26%3100000.3400000100
6Clark BishopMoose (WPG)C/LW6112060101314397.14%313121.951125240000150055.32%9400000.3000000000
7Judd CaulfieldMoose (WPG)RW6022-140676150.00%110617.7600000000000042.86%700000.3800000000
8Tyler KlevenMoose (WPG)D60110801932010.00%413923.26000223000022000.00%000000.1400000000
9Marcus BjorkMoose (WPG)D601121201052000.00%411619.450000200004000.00%000000.1700000000
10Rasmus KupariMoose (WPG)C/LW/RW610106011811079.09%09315.560000200001100.00%400000.2100000001
11Simon JohanssonMoose (WPG)D6011060313210.00%212220.36000222000025000.00%000000.1600000000
12Markus NiemelainenMoose (WPG)D6011-2801930120.00%613121.94011025000027000.00%000000.1500000000
13Michael KarowMoose (WPG)D6011260930010.00%411018.440000000001000.00%000000.1800000000
14Tyler PitlickMoose (WPG)RW6011180546460.00%313122.000002240000250027.27%1100000.1500000000
15Tucker RobertsonMoose (WPG)C6000000123120.00%0508.43000190000110042.86%1400000.00%00000000
16Joona KoppanenMoose (WPG)C/LW6000-120045120.00%0335.6500000000000045.83%2400000.00%00000000
Team Total or Average969162521211512710611431787.89%35174918.222462923600011982141.31%47200000.2900012302
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
1Jeremy HelvigMoose (WPG)62400.8632.5437800161170000.00%060010
2Joel BlomqvistMoose (WPG)10001.0000.00%2200070000.00%006000
Team Total or Average72400.8712.404000016124000066010


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 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
Clark BishopMoose (WPG)C/LW291996-03-28No199 Lbs6 ft1NoNoNo2Pro & Farm775,000$0$0$No775,000$Link / NHL Link
Dylan WellsMoose (WPG)G271998-01-03No183 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Fredrik KarlstromMoose (WPG)C271998-01-12No190 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLink
Jean-Francois BerubeMoose (WPG)G331991-07-13No177 Lbs6 ft1NoNoNo1Pro & Farm775,000$0$0$NoLink
Jeremy HelvigMoose (WPG)G281997-05-24No188 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Joel BlomqvistMoose (WPG)G232002-01-10Yes183 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Joona KoppanenMoose (WPG)C/LW271998-02-25No194 Lbs6 ft5NoNoNo2Pro & Farm775,000$0$0$No775,000$Link / NHL Link
Judd CaulfieldMoose (WPG)RW242001-03-19Yes207 Lbs6 ft3NoNoNo3Pro & Farm837,500$0$0$No837,500$837,500$Link
Keegan KolesarMoose (WPG)RW281997-04-08No216 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Link / NHL Link
Marcus BjorkMoose (WPG)D271997-11-24Yes203 Lbs6 ft3NoNoNo2Pro & Farm775,000$0$0$No775,000$Link
Markus NiemelainenMoose (WPG)D271998-06-07Yes190 Lbs6 ft6NoNoNo1Pro & Farm925,000$0$0$NoLink
Matt FilipeMoose (WPG)C/LW271997-12-31No203 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLink
Michael KarowMoose (WPG)D261998-12-18No201 Lbs6 ft2NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$Link
Mikael PyyhtiaMoose (WPG)C232001-12-17No174 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Rasmus KupariMoose (WPG)C/LW/RW252000-03-15No189 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Link / NHL Link
Roby JarventieMoose (WPG)LW222002-08-08Yes213 Lbs6 ft3NoNoNo1Pro & Farm894,167$0$0$NoLink
Samu TuomaalaMoose (WPG)RW222003-01-08Yes174 Lbs5 ft10NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Link
Simon JohanssonMoose (WPG)D261999-06-14No170 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Tucker RobertsonMoose (WPG)C212003-06-22Yes190 Lbs5 ft10NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$Link
Tyler KlevenMoose (WPG)D232002-01-10Yes200 Lbs6 ft4NoNoNo3Pro & Farm1,125,000$0$0$No1,125,000$1,125,000$Link
Tyler PitlickMoose (WPG)RW331991-11-01No200 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2126.10193 Lbs6 ft22.05867,619$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Judd CaulfieldFredrik Karlstrom40122
2Roby JarventieMikael PyyhtiaTyler Pitlick30122
3Rasmus KupariClark BishopSamu Tuomaala20122
4Joona KoppanenJudd Caulfield10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus BjorkMichael Karow40122
2Tyler KlevenSimon Johansson30122
3Markus Niemelainen20122
4Tyler Kleven10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Clark BishopFredrik Karlstrom60122
2Roby JarventieMikael PyyhtiaTyler Pitlick40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus Niemelainen60122
2Tyler KlevenSimon Johansson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tyler Pitlick60122
2Fredrik KarlstromRoby Jarventie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus Niemelainen60122
2Tyler KlevenSimon Johansson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Markus Niemelainen60122
2Tyler Pitlick40122Tyler KlevenSimon Johansson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tyler Pitlick60122
2Fredrik KarlstromRoby Jarventie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus Niemelainen60122
2Tyler KlevenSimon Johansson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tyler PitlickFredrik KarlstromMarcus Bjork
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tyler PitlickFredrik KarlstromMarcus Bjork
Extra Forwards
Normal PowerPlayPenalty Kill
Tucker Robertson, Clark Bishop, Samu TuomaalaTucker Robertson, Clark BishopSamu Tuomaala
Extra Defensemen
Normal PowerPlayPenalty Kill
Markus Niemelainen, Simon Johansson, Tyler KlevenMarkus NiemelainenMarkus Niemelainen, Tyler Kleven
Penalty Shots
, Tyler Pitlick, Samu Tuomaala, Roby Jarventie, Fredrik Karlstrom
Goalie
#1 : Jeremy Helvig, #2 : Joel Blomqvist
Custom OT Lines Forwards
, Tyler Pitlick, Tucker Robertson, Roby Jarventie, Fredrik Karlstrom, Mikael Pyyhtia, Mikael Pyyhtia, Clark Bishop, Samu Tuomaala, Rasmus Kupari, Judd Caulfield
Custom OT Lines Defensemen
, Marcus Bjork, Tyler Kleven, Simon Johansson, Markus Niemelainen


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
1Wild62400000916-73120000037-43120000069-340.3339162500323111428334112124351231273126.45%40977.50%07217042.35%8520341.87%389938.38%13994177538439
Total62400000916-73120000037-43120000069-340.3339162500323111428334112124351231273126.45%40977.50%07217042.35%8520341.87%389938.38%13994177538439
_Since Last GM Reset62400000916-73120000037-43120000069-340.3339162500323111428334112124351231273126.45%40977.50%07217042.35%8520341.87%389938.38%13994177538439
_Vs Conference62400000916-73120000037-43120000069-340.3339162500323111428334112124351231273126.45%40977.50%07217042.35%8520341.87%389938.38%13994177538439
_Vs Division62400000916-73120000037-43120000069-340.3339162500323111428334112124351231273126.45%40977.50%07217042.35%8520341.87%389938.38%13994177538439

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64L3916251141243512312700
All Games
GPWLOTWOTL SOWSOLGFGA
6240000916
Home Games
GPWLOTWOTL SOWSOLGFGA
312000037
Visitor Games
GPWLOTWOTL SOWSOLGFGA
312000069
Last 10 Games
WLOTWOTL SOWSOL
141000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3126.45%40977.50%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
283341123231
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7217042.35%8520341.87%389938.38%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13994177538439


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 - 2024-10-195Moose1Wild2ALBoxScore
4 - 2024-10-2113Moose5Wild4AWBoxScore
6 - 2024-10-2321Wild1Moose2BWXBoxScore
8 - 2024-10-2529Wild2Moose0BLBoxScore
10 - 2024-10-2737Moose0Wild3ALBoxScore
12 - 2024-10-2945Wild4Moose1BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price330
Attendance6,0002,975
Attendance PCT100.00%99.17%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
38 2992 - 99.72% 66,000$198,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,822,000$ 1,822,000$ 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$ 0 0$ 0$




Moose 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 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