Essayer le nouveau site
Login

Moose
GP: 17 | W: 9 | L: 8
GF: 62 | GA: 58 | PP%: 19.67% | PK%: 81.54%
GM : Eric Pilon | Morale : 79 | Team Overall : 64
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Moose
9-8-0, 18pts
2
FINAL
3 Wolf Pack
15-8-0, 30pts
Team Stats
OTL2StreakW1
8-2-0Home Record9-2-0
1-6-0Home Record6-6-0
3-4-3Last 10 Games6-3-1
3.65Goals Per Game3.09
3.41Goals Against Per Game2.70
19.67%Power Play Percentage22.67%
81.54%Penalty Kill Percentage88.14%
Wolf Pack
15-8-0, 30pts
5
FINAL
4 Moose
9-8-0, 18pts
Team Stats
W1StreakOTL2
9-2-0Home Record8-2-0
6-6-0Home Record1-6-0
6-3-1Last 10 Games3-4-3
3.09Goals Per Game3.65
2.70Goals Against Per Game3.41
22.67%Power Play Percentage19.67%
88.14%Penalty Kill Percentage81.54%
Team Leaders
Goals
Justin Danforth
9
Assists
Nils Lundkvist
12
Points
Nils Lundkvist
18
Plus/Minus
Justin Danforth
9
Wins
Dylan Wells
9
Save Percentage
Dylan Wells
0.897

Team Stats
Goals For
62
3.65 GFG
Shots For
615
36.18 Avg
Power Play Percentage
19.7%
12 GF
Offensive Zone Start
41.1%
Goals Against
58
3.41 GAA
Shots Against
535
31.47 Avg
Penalty Kill Percentage
81.5%%
12 GA
Defensive Zone Start
40.4%
Team Info

General ManagerEric Pilon
CoachRick Tocchet
DivisionDivision Sud-Est
ConferenceConference 1
Captain
Assistant #1Daniel Sprong
Assistant #2Sami Vatanen


Arena Info

Capacity3,000
Attendance2,784
Season Tickets300


Roster Info

Pro Team33
Farm Team18
Contract Limit51 / 56
Prospects44


Team History

This Season9-8
History36-36-15 (0.414%)
Playoff Appearances0
Playoff Record (W-L)9 - 8 (0.529%)
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
1Daniel Sprong (A)XX100.0063459279717185746772756768704864606702822,000,000$
2Nick CousinsXXX100.0072558175697783717170707168776353766703122,000,000$
3Pontus AbergXX100.0056429373717588746274717167756051776703123,000,000$
4Ross ColtonX100.0074458175727678757474747078534663536702822,000,000$
5Brandon TanevXX100.007470807570808073617170766872624640670331900,000$
6Nathan WalkerXX100.0074558775687577727271717269584953816603121,700,000$
7Ryan LombergXX100.0074617575687892727069737170625256796603021,500,000$
8Valentin ZykovXX100.0061468971737479687071696967665655826502911,500,000$
9Mason ShawXXX100.007171827267748672777471736753476079650262900,000$
10Pavel KraskovskyX100.0077676972707576707173707068605357766502811,200,000$
11Anthony RichardXX100.0074457172677674707069726663595457816502821,300,000$
12Jarred TinordiX100.0081757273767978734572657863614846846703311,800,000$
13Nils LundkvistX100.006645877370788675457371746458466878670242900,000$
14Andrei MironovX100.0068458171727478754571647754685852696703032,500,000$
15Sami Vatanen (A)X100.0061459871696868694567666964726546736503331,500,000$
16Brandon GormleyX100.0059459370727074694566657163634946406403331,200,000$
17Anton LindholmX100.0063449371706879694567647263554556786303011,100,000$
Scratches
1Justin DanforthXX100.0070458875688183737274717369574950816603221,700,000$
2Rasmus Kupari (R)XXX100.006745928471697369716361725560457082640253900,000$
3Nick SorensenXX100.0061478572725972676366666462725653196303031,000,000$
4Nils Aman (R)X100.006645917568707957716968776855457035630251900,000$
5Stefan MatteauX100.0082596968756374637364657262695349206303121,000,000$
6Joakim NygardXX100.0061458972676779666868696570685445196303211,200,000$
7Julius NattinenX100.007045827270727167756964715956495766630282900,000$
8Jeremy BraccoXX100.006145917268647365676763656259516020620282800,000$
9Vladimir TkachyovXX100.006045827266656965586966616459515420610292700,000$
10Phil VaroneXX100.0063448870656968656464676668595043206103411,000,000$
11Brendan GuhleX100.006544867270707364456565725455486081630271750,000$
12Chad KrysX100.006752877068686760456263705750486043610261750,000$
13James GreenwayX100.007248787274706656455858665749486019600261750,000$
TEAM AVERAGE100.00685084737072776962696870646252555864
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
1Spencer Martin100.008488818078777976767585617154826502931,500,000$
2Felix Sandstrom100.00858673797873787373728053655726630281750,000$
Scratches
1Dylan Wells100.00848479797980817981857949526067650272750,000$
TEAM AVERAGE100.0084867879787779767777815463575864
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rick Tocchet88827159999945CAN594100,000$


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
1Nils LundkvistMoose (Win)D17612188120152035103317.14%2242625.111451651011051020%000000.8400000012
2Justin DanforthMoose (Win)LW/RW1797169120211060185015.00%235220.7113411510000211156.90%5800000.9100000400
3Ryan LombergMoose (Win)LW/RW176713-360241249163112.24%429017.1042619510113511059.09%2200000.8900000111
4Jarred TinordiMoose (Win)D17210124255571613111415.38%3339523.27000310101155000%000000.6100100110
5Andrei MironovMoose (Win)D153912722017153116259.68%1736724.531121447000039000%000000.6500000110
6Nick CousinsMoose (Win)C/LW/RW174711822101728449279.09%230017.67000000001392055.29%37800000.7300101011
7Anthony RichardMoose (Win)LW/RW17651111001752932020.69%11569.2200000000001133.33%1200001.4000000012
8Daniel SprongMoose (Win)LW/RW17551032012155217349.62%132819.33011448000021050.00%2400000.6100000111
9Pavel KraskovskyMoose (Win)C17371018045344516316.67%233219.540221650000002051.52%39600000.6000000001
10Sami VatanenMoose (Win)D17189000110192175.26%1537422.02033847000011000%000000.4800000000
11Brendan GuhleMoose (Win)D124590401951451028.57%1023419.54303633000026100%000000.7700000101
12Julius NattinenMoose (Win)C1117804089174175.88%215013.64022635000000148.19%19300001.0700000010
13Mason ShawMoose (Win)C/LW/RW17257-415513133610265.56%222913.51011120001490050.83%18100000.6100001000
14Pontus AbergMoose (Win)LW/RW17156-4002235114351.96%334220.14011850000000053.85%2600000.3500000010
15Brandon TanevMoose (Win)LW/RW61563601091410147.14%213522.61000000000160033.33%1500000.8800000010
16Brandon GormleyMoose (Win)D7235-5405172228.57%414120.2620251200007000%000000.7100000001
17Nathan WalkerMoose (Win)LW/RW17235-22012144613204.35%027916.42000260002320060.00%2000000.3600000000
18Valentin ZykovMoose (Win)LW/RW172131002152112149.52%41649.6800006000000062.50%1600000.3600000000
19Rasmus KupariMoose (Win)C/LW/RW11213-2001111101218.18%011010.0800000000000055.73%13100000.5400000001
20Ross ColtonMoose (Win)C6022-22038122140%19916.55022215000020051.40%10700000.4000000000
21Anton LindholmMoose (Win)D17022-56015119170%2830918.1900011000028000%000000.1300000000
Team Total or Average30662116178181622031628461519145310.08%155552218.0512223412252512384379552.50%157900000.640020291011
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
1Dylan WellsMoose (Win)169420.8973.03990205048500000160110
2Spencer MartinMoose (Win)30110.8573.041380074900100116000
Team Total or Average199530.8933.031129205753400101716110


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 Country 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
Andrei MironovMoose (Win)D301994-07-29RUSNo194 Lbs6 ft3NoNoN/ANoNo32024-04-29FalseFalsePro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Link
Anthony RichardMoose (Win)LW/RW281996-12-20CANNo176 Lbs5 ft10NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Link
Anton LindholmMoose (Win)D301994-11-29SWENo191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Brandon GormleyMoose (Win)D331992-02-18CANNo196 Lbs6 ft2NoNoFree AgentNoNo32024-07-24FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Link
Brandon TanevMoose (Win)LW/RW331991-12-31CANNo189 Lbs6 ft0NoNoTrade2025-02-01NoNo12024-08-18FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Brendan GuhleMoose (Win)D271997-07-29CANNo197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Chad KrysMoose (Win)D261998-04-10USANo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Daniel SprongMoose (Win)LW/RW281997-03-17NLDNo180 Lbs6 ft0NoNoTrade2024-04-29NoNo22024-04-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Dylan WellsMoose (Win)G271998-01-03CANNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Felix SandstromMoose (Win)G281997-01-12SWENo191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
James GreenwayMoose (Win)D261998-04-27USANo211 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Jarred TinordiMoose (Win)D331992-02-20USANo229 Lbs6 ft6NoNoFree AgentNoNo12024-07-02FalseFalsePro & Farm1,800,000$0$0$No---------------------------Link
Jeremy BraccoMoose (Win)LW/RW281997-03-17USANo185 Lbs5 ft11NoNoN/ANoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Joakim NygardMoose (Win)LW/RW321993-01-08SWENo179 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Link
Julius NattinenMoose (Win)C281997-01-14FINNo192 Lbs6 ft2NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Justin DanforthMoose (Win)LW/RW321993-03-15CANNo188 Lbs5 ft8NoNoFree AgentNoNo22024-07-02FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Link
Mason ShawMoose (Win)C/LW/RW261998-11-03CANNo184 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Nathan WalkerMoose (Win)LW/RW311994-02-07AUSNo187 Lbs5 ft9NoNoFree AgentNoNo22024-07-07FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Link
Nick CousinsMoose (Win)C/LW/RW311993-07-20CANNo186 Lbs5 ft11NoNoFree AgentNoNo22024-07-24FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Nick SorensenMoose (Win)LW/RW301994-10-23DNKNo182 Lbs6 ft1NoNoN/ANoNo32024-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link
Nils AmanMoose (Win)C252000-02-07SWEYes179 Lbs6 ft2NoNoFree AgentNoNo12024-06-27FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Nils LundkvistMoose (Win)D242000-07-27SWENo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Pavel KraskovskyMoose (Win)C281996-09-11RUSNo185 Lbs6 ft4NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Link
Phil VaroneMoose (Win)LW/RW341990-12-04CANNo169 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link
Pontus AbergMoose (Win)LW/RW311993-09-23SWENo196 Lbs5 ft11NoNoTrade2024-03-25NoNo22023-12-30FalseFalsePro & Farm3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------Link
Rasmus KupariMoose (Win)C/LW/RW252000-03-15FINYes201 Lbs6 ft2NoNoProspectNoNo32024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Ross ColtonMoose (Win)C281996-09-11USANo191 Lbs6 ft0NoNoWaiverNoNo22024-04-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Ryan LombergMoose (Win)LW/RW301994-12-09CANNo187 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Link
Sami VatanenMoose (Win)D331991-06-03FINNo185 Lbs5 ft10NoNoFree AgentNoNo32024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link
Spencer MartinMoose (Win)G291995-06-08CANNo205 Lbs6 ft3NoNoN/ANoNo32024-04-29FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link
Stefan MatteauMoose (Win)C311994-02-23USANo220 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link
Valentin ZykovMoose (Win)LW/RW291995-05-15RUSNo220 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Link
Vladimir TkachyovMoose (Win)LW/RW291995-10-05RUSNo141 Lbs5 ft9NoNoN/ANoNo22024-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3329.18190 Lbs6 ft01.821,283,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pavel KraskovskyBrandon Tanev34014
2Pontus AbergNick CousinsDaniel Sprong34014
3Ryan LombergRoss ColtonNathan Walker20122
4Anthony RichardMason ShawValentin Zykov12131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrei MironovNils Lundkvist35041
2Jarred TinordiSami Vatanen35041
3Anton LindholmBrandon Gormley30041
4Andrei MironovNils Lundkvist0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pontus AbergPavel KraskovskyDaniel Sprong50005
2Nathan WalkerRoss ColtonRyan Lomberg50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils Lundkvist50014
2Andrei MironovSami Vatanen50032
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nick CousinsRyan Lomberg50050
2Mason ShawBrandon Tanev50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jarred TinordiAndrei Mironov50050
2Nils LundkvistAnton Lindholm50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nick Cousins50050Jarred TinordiAndrei Mironov50050
2Mason Shaw50050Nils LundkvistAnton Lindholm50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ross ColtonNathan Walker50014
2Nick Cousins50014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrei MironovNils Lundkvist50041
2Sami VatanenBrandon Gormley50041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Daniel SprongRoss ColtonPontus AbergNils LundkvistAndrei Mironov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Daniel SprongNick CousinsMason ShawJarred TinordiAndrei Mironov
Extra Forwards
Normal PowerPlayPenalty Kill
Daniel Sprong, Mason Shaw, Pontus AbergDaniel Sprong, Pontus Aberg
Extra Defensemen
Normal PowerPlayPenalty Kill
Andrei Mironov, Nils Lundkvist, Jarred TinordiNils LundkvistJarred Tinordi, Andrei Mironov
Penalty Shots
Daniel Sprong, Pontus Aberg, Ross Colton, Mason Shaw, Brandon Tanev
Goalie
#1 : Spencer Martin, #2 : Felix Sandstrom


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
1Firebirds54100000231493300000014592110000099080.8002342650019261611871822001914215548488316531.25%22481.82%033964952.23%35963856.27%13129244.86%455315429139244121
2PenguinsF743000002425-144000000159630300000916-780.57124487210192616123118220019142193515613131619.35%19384.21%033964952.23%35963856.27%13129244.86%455315429139244121
3Wolf Pack514000001519-4312000001214-22020000035-220.2001526410019261611971822001914218756601021417.14%24579.17%133964952.23%35963856.27%13129244.86%455315429139244121
Total17980000062584108200000412813716000002130-9180.5296211617810192616161518220019142535155164316611219.67%651281.54%133964952.23%35963856.27%13129244.86%455315429139244121
_Since Last GM Reset17980000062584108200000412813716000002130-9180.5296211617810192616161518220019142535155164316611219.67%651281.54%133964952.23%35963856.27%13129244.86%455315429139244121
_Vs Conference17980000062584108200000412813716000002130-9180.5296211617810192616161518220019142535155164316611219.67%651281.54%133964952.23%35963856.27%13129244.86%455315429139244121

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1718OTL26211617861553515516431610
All Games
GPWLOTWOTL SOWSOLGFGA
179800006258
Home Games
GPWLOTWOTL SOWSOLGFGA
108200004128
Visitor Games
GPWLOTWOTL SOWSOLGFGA
71600002130
Last 10 Games
WLOTWOTL SOWSOL
241300
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
611219.67%651281.54%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
182200191421926161
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33964952.23%35963856.27%13129244.86%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
455315429139244121


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
1 - 2025-03-094Firebirds1Moose3WBoxScore
2 - 2025-03-1012Firebirds1Moose6WBoxScore
3 - 2025-03-1120Moose4Firebirds6LBoxScore
4 - 2025-03-1228Moose5Firebirds3WBoxScore
5 - 2025-03-1336Firebirds3Moose5WBoxScore
8 - 2025-03-1658PenguinsF2Moose4WBoxScore
9 - 2025-03-1762PenguinsF2Moose3WBoxScore
10 - 2025-03-1866Moose4PenguinsF6LBoxScore
11 - 2025-03-1970Moose1PenguinsF5LBoxScore
12 - 2025-03-2074PenguinsF2Moose3WBoxScore
13 - 2025-03-2178Moose4PenguinsF5LXBoxScore
14 - 2025-03-2282PenguinsF3Moose5WBoxScore
15 - 2025-03-2385Wolf Pack4Moose2LBoxScore
16 - 2025-03-2487Wolf Pack5Moose6WXBoxScore
17 - 2025-03-2589Moose1Wolf Pack2LBoxScore
18 - 2025-03-2691Moose2Wolf Pack3LXBoxScore
19 - 2025-03-2793Wolf Pack5Moose4LXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3520
Attendance19,0458,791
Attendance PCT95.23%87.91%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
31 2784 - 92.79% 125,517$1,255,168$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 4,235,000$ 4,235,000$ 100,000$0$
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$ 1 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
1Yegor Chinakhov8021527351847982608.08%16146918.37516215600003446.67%00.99312
2Andrei Mironov8222517318561177613915.83%99183722.4112820800000310%00.7900
3Mason Shaw791945645641011642109.05%18157619.95316194103342151.69%00.8115
4Ryan Lomberg8134245813331208320616.50%15135416.7257122120280353.60%30.86314
5Nils Lundkvist78113849-34277761616.83%108180623.167714810111010%00.5402

Moose Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Spencer Martin62272250.8833.3732412218215530300.75641
2Dylan Wells278940.9102.60133802586420000.64717
3Felix Sandstrom91510.8444.6241600322050000.6005

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
Regular Season
1582253606159261281-2041151703114127132-541101903045134149-158226146072104928177212543851822821114240068767913422645821.97%2706277.04%61470283051.94%1416280150.55%750140153.53%1997137119146151092549
Total Regular Season82253606159261281-2041151703114127132-541101903045134149-158226146072104928177212543851822821114240068767913422645821.97%2706277.04%61470283051.94%1416280150.55%750140153.53%1997137119146151092549
Playoff
1617980000062584108200000412813716000002130-9186211617810192616161518220019142535155164316611219.67%651281.54%133964952.23%35963856.27%13129244.86%455315429139244121
Total Playoff17980000062584108200000412813716000002130-9186211617810192616161518220019142535155164316611219.67%651281.54%133964952.23%35963856.27%13129244.86%455315429139244121

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
1Nils Lundkvist176121881215203517.14%2242625.11145160110020%00.8400
2Justin Danforth17971691221106015.00%235220.711341100001156.90%00.9100
3Ryan Lomberg176713-3624124912.24%429017.104261901131059.09%00.8900
4Andrei Mironov1539127221715319.68%1736724.53112140000000%00.6500
5Jarred Tinordi172101242557161315.38%3339523.2700031011000%00.6100

Moose Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dylan Wells169420.8973.03990205048500000
2Spencer Martin30110.8573.041380074900100