Please rotate your device to landscape mode for a better experience.
Login

Wombats
GP: 26 | W: 11 | L: 8 | OTL: 7 | P: 29
GF: 93 | GA: 93 | PP%: 20.00% | PK%: 92.50%
GM : Lance Doll | Morale : 41 | Team Overall : 62
Next Games #306 vs Nordiks

Game Center
Wombats
11-8-7, 29pts
7
FINAL
8 Lions
9-18-0, 18pts
Team Stats
L1StreakOTW1
5-6-3Home Record7-6-0
6-2-4Home Record2-12-0
2-5-3Last 10 Games3-7-0
3.58Goals Per Game4.63
3.58Goals Against Per Game5.59
20.00%Power Play Percentage21.43%
92.50%Penalty Kill Percentage77.50%
Barons
12-12-3, 27pts
5
FINAL
2 Wombats
11-8-7, 29pts
Team Stats
W2StreakL1
5-6-2Home Record5-6-3
7-6-1Home Record6-2-4
5-5-0Last 10 Games2-5-3
3.26Goals Per Game3.58
3.59Goals Against Per Game3.58
21.15%Power Play Percentage20.00%
88.89%Penalty Kill Percentage92.50%
Wombats
11-8-7, 29pts
Day 62
Nordiks
16-12-1, 33pts
Team Stats
L1StreakW2
5-6-3Home Record6-7-0
6-2-4Away Record10-5-1
2-5-3Last 10 Games6-4-0
3.58Goals Per Game5.59
3.58Goals Against Per Game5.59
20.00%Power Play Percentage29.31%
92.50%Penalty Kill Percentage71.95%
Griffins
14-13-0, 28pts
Day 63
Wombats
11-8-7, 29pts
Team Stats
W1StreakL1
7-6-0Home Record5-6-3
7-7-0Away Record6-2-4
6-4-0Last 10 Games2-5-3
5.63Goals Per Game3.58
5.26Goals Against Per Game3.58
18.75%Power Play Percentage20.00%
68.75%Penalty Kill Percentage92.50%
Wombats
11-8-7, 29pts
Day 66
Marlies
14-11-3, 31pts
Team Stats
L1StreakL3
5-6-3Home Record6-5-2
6-2-4Away Record8-6-1
2-5-3Last 10 Games6-4-0
3.58Goals Per Game4.18
3.58Goals Against Per Game4.18
20.00%Power Play Percentage22.78%
92.50%Penalty Kill Percentage77.78%
Team Leaders
David PerronGoals
David Perron
16
Jonas SiegenthalerAssists
Jonas Siegenthaler
21
David PerronPoints
David Perron
36
David PerronPlus/Minus
David Perron
9
James ReimerWins
James Reimer
11
Vitek VanecekSave Percentage
Vitek Vanecek
0.925

Team Stats
Goals For
93
3.58 GFG
Shots For
829
31.88 Avg
Power Play Percentage
20.0%
14 GF
Offensive Zone Start
37.6%
Goals Against
93
3.58 GAA
Shots Against
883
33.96 Avg
Penalty Kill Percentage
92.5%%
3 GA
Defensive Zone Start
42.1%
Team Info

General ManagerLance Doll
CoachMatthew Carle
DivisionMetropolitan
ConferenceEastern Conference
CaptainDavid Perron
Assistant #1Haydn Fleury
Assistant #2Jonas Siegenthaler


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team13
Farm Team21
Contract Limit34 / 50
Prospects16


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
1David Perron (C)X100.007656867069746573506571605183780566503722,000,000$
2Trent FredericX100.008568806879737468586462625065650496302731,500,000$
3Pontus HolmbergX100.00666183687271807064645769506365061630261500,000$
4Adam Klapka (R)X100.00866378668663587250606758516163048620252750,000$
5Joseph VelenoX100.00776291657270856465625960506262046610253500,000$
6Noah GregorX100.00776582657268696350595562506666048600273500,000$
7Reese JohnsonX100.00493590576950505050515049506564048510272500,000$
8Jonas Siegenthaler (A)X100.00756270627875746850625377556972051660282500,000$
9Brayden PachalX100.00806863627366876650595172556567046650262500,000$
10Haydn Fleury (A)X100.00725791607567646750615169557071048630292500,000$
11Maxwell CrozierX100.00523594577150545050495049556364046520252750,000$
Scratches
TEAM AVERAGE100.0072578364746669655360576252676705061
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
1James Reimer100.0071727274707269696959708383032690372500,000$
2Vitek Vanecek100.0065726971686768666550706767055650291500,000$
Scratches
TEAM AVERAGE100.006872717369706968675570757504467
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Matthew Carle7585858575801USA415500,000$


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
1David PerronWombats (TBL)LW231620369001943105319315.24%662127.032469500003341050.91%5500011.1603000424
2Mathieu OlivierTampa Bay LightningRW1814163011140683697267714.43%846926.073031243000283042.11%3800001.2802000452
3Trent FredericWombats (TBL)C268192718061929739838.25%1363424.421569540002391053.06%85000000.8513000043
4Jonas SiegenthalerWombats (TBL)D2642125-21205038559317.27%4868326.301342251000031010%100000.7300000121
5Adam KlapkaWombats (TBL)RW2611920-9604433101256210.89%955921.53123948000050152.50%4000000.7102000301
6Noah GregorWombats (TBL)LW2681220-104027468714579.20%662123.9013413520001222046.00%5000000.6411000120
7Haydn FleuryWombats (TBL)D2631518-88052313513238.57%5464924.9823514530001320055.56%900000.5500000100
8Joseph VelenoWombats (TBL)C2661117-6602590728478.33%963324.381234520001270158.06%73200000.5400000001
9Brayden PachalWombats (TBL)D2621214-91407625368315.56%3766525.611121250000029000%100000.4200000004
10Reese JohnsonWombats (TBL)C2631114-11003372231713.64%245417.480112160000151045.30%41500000.6200000000
11Maxwell CrozierWombats (TBL)D26336-86084131323.08%2159122.74101149000028000%300000.2000000001
Team Total or Average27578149227-4278043347572017752410.83%213658523.95142438107523000102748352.73%219400010.69211000141517
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
1James ReimerWombats (TBL)2611870.8973.54147361878430000.54511260210
2Vitek VanecekWombats (TBL)30000.9251.701060034000000026000
Team Total or Average2911870.8983.4215796190883000112626210


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
Adam KlapkaWombats (TBL)RW252000-09-14CZEYes235 Lbs6 ft8NoNoFree AgentNoNo22024-09-14FalseFalsePro & Farm750,000$75,000$50,417$No750,000$--------750,000$--------No--------Link / NHL Link
Brayden PachalWombats (TBL)D261999-08-23CANNo202 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
David PerronWombats (TBL)LW371988-05-28CANNo198 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-25FalseFalsePro & Farm2,000,000$200,000$134,444$No2,000,000$--------2,000,000$--------No--------Link / NHL Link
Haydn FleuryWombats (TBL)D291996-07-08CANNo207 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
James ReimerWombats (TBL)G371988-03-15CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-26FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
Jonas SiegenthalerWombats (TBL)D281997-05-06CHENo218 Lbs6 ft2NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
Joseph VelenoWombats (TBL)C252000-01-13CANNo201 Lbs6 ft1NoNoN/ANoNo32024-08-14FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Maxwell CrozierWombats (TBL)D252000-04-19CANNo198 Lbs6 ft3NoNoFree AgentNoNo22024-09-14FalseFalsePro & Farm750,000$75,000$50,417$No750,000$--------750,000$--------No--------Link
Noah GregorWombats (TBL)LW271998-07-28CANNo201 Lbs6 ft0NoNoN/ANoNo32024-08-19FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Pontus HolmbergWombats (TBL)RW261999-03-09SWENo201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Link / NHL Link
Reese JohnsonWombats (TBL)C271998-07-10CANNo193 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Link / NHL Link
Trent FredericWombats (TBL)C271998-02-11USANo221 Lbs6 ft3NoNoN/ANoNo32024-08-19FalseFalsePro & Farm1,500,000$150,000$100,833$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link / NHL Link
Vitek VanecekWombats (TBL)G291996-01-09CZENo184 Lbs6 ft2NoNoN/ANoNo12024-08-19FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1328.31205 Lbs6 ft22.08730,769$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Trent Frederic40122
2Noah GregorJoseph VelenoAdam Klapka30122
3Reese Johnson20122
4Trent Frederic10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonas SiegenthalerBrayden Pachal40122
2Haydn FleuryMaxwell Crozier30122
3Jonas SiegenthalerBrayden Pachal20122
4Haydn FleuryMaxwell Crozier10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Trent Frederic60122
2Noah GregorJoseph VelenoAdam Klapka40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonas SiegenthalerBrayden Pachal60122
2Haydn FleuryMaxwell Crozier40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Trent Frederic60122
2Joseph VelenoNoah Gregor40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonas SiegenthalerBrayden Pachal60122
2Haydn FleuryMaxwell Crozier40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Trent Frederic60122Jonas SiegenthalerBrayden Pachal60122
2Joseph Veleno40122Haydn FleuryMaxwell Crozier40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Trent Frederic60122
2Joseph VelenoNoah Gregor40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonas SiegenthalerBrayden Pachal60122
2Haydn FleuryMaxwell Crozier40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Trent FredericJonas SiegenthalerBrayden Pachal
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Trent FredericJonas SiegenthalerBrayden Pachal
Extra Forwards
Normal PowerPlayPenalty Kill
Joseph Veleno, Noah Gregor, Reese JohnsonJoseph Veleno, Noah GregorJoseph Veleno
Extra Defensemen
Normal PowerPlayPenalty Kill
Brayden Pachal, Haydn Fleury, Maxwell CrozierBrayden PachalBrayden Pachal, Haydn Fleury
Penalty Shots
, , Trent Frederic, Adam Klapka, Joseph Veleno
Goalie
#1 : James Reimer, #2 : Vitek Vanecek


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
1Aces2110000057-21010000014-31100000043120.50051015002932322452722642871745121331600.00%40100.00%043583751.97%50193753.47%24145453.08%634445603186342175
2Admirals32100000161242110000010911100000063340.667163046002932322111272264287171563318697342.86%80100.00%043583751.97%50193753.47%24145453.08%634445603186342175
3Barons1010000025-31010000025-30000000000000.0002350029323222427226428717226417000%20100.00%043583751.97%50193753.47%24145453.08%634445603186342175
4Barracuda502001021019-940200002917-81000010012-130.3001019290029323221412722642871713339208910220.00%70100.00%043583751.97%50193753.47%24145453.08%634445603186342175
5Broncos21100000770110000004221010000035-220.50071118002932322702722642871757132374125.00%10100.00%043583751.97%50193753.47%24145453.08%634445603186342175
6Canucks11000000422000000000001100000042221.000471100293232226272264287173212214000%110.00%043583751.97%50193753.47%24145453.08%634445603186342175
7Firebirds42100100201552110000012842100010087150.6252037570029323221502722642871718639108313215.38%5180.00%043583751.97%50193753.47%24145453.08%634445603186342175
8Lions2100010011101110000004221000010078-130.7501121320029323228527226428717853163712433.33%30100.00%043583751.97%50193753.47%24145453.08%634445603186342175
9Marlies1010000024-2000000000001010000024-200.00023500293232228272264287172810220200.00%10100.00%043583751.97%50193753.47%24145453.08%634445603186342175
10Quacken1000000134-1000000000001000000134-110.500369002932322282722642871719221611100.00%10100.00%043583751.97%50193753.47%24145453.08%634445603186342175
11Roadrunners32000100642210001003211100000032150.833611170129323228227226428717741910471100.00%4175.00%043583751.97%50193753.47%24145453.08%634445603186342175
12Tomahawks11000000743000000000001100000074321.00071320002932322392722642871746156244125.00%30100.00%043583751.97%50193753.47%24145453.08%634445603186342175
Total2611800403939301456001024549-412620030148444290.558931712640129323228292722642871788323195484701420.00%40392.50%043583751.97%50193753.47%24145453.08%634445603186342175
_Since Last GM Reset2611800403939301456001024549-412620030148444290.558931712640129323228292722642871788323195484701420.00%40392.50%043583751.97%50193753.47%24145453.08%634445603186342175
_Vs Conference1374002005142974200100292186320010022211160.6155192143012932322441272264287175011144225637616.22%19289.47%043583751.97%50193753.47%24145453.08%634445603186342175
_Vs Division973002004334954200100261974310010017152160.889437812100293232233127226428717399853018924625.00%14192.86%043583751.97%50193753.47%24145453.08%634445603186342175

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2629L1931712648298832319548401
All Games
GPWLOTWOTL SOWSOLGFGA
2611804039393
Home Games
GPWLOTWOTL SOWSOLGFGA
145601024549
Visitor Games
GPWLOTWOTL SOWSOLGFGA
126203014844
Last 10 Games
WLOTWOTL SOWSOL
250102
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
701420.00%40392.50%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
272264287172932322
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
43583751.97%50193753.47%24145453.08%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
634445603186342175


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
28Wombats3Broncos5LBoxScore
414Roadrunners0Wombats2WBoxScore
620Wombats1Firebirds2LXBoxScore
835Admirals5Wombats4LBoxScore
1252Barracuda4Wombats3LXXBoxScore
1467Wombats6Admirals3WBoxScore
1569Wombats3Roadrunners2WBoxScore
1782Admirals4Wombats6WBoxScore
1994Firebirds3Wombats8WBoxScore
23111Wombats1Barracuda2LXBoxScore
25117Barracuda6Wombats2LBoxScore
28134Roadrunners2Wombats1LXBoxScore
32153Wombats7Firebirds5WBoxScore
33156Wombats7Tomahawks4WBoxScore
34164Broncos2Wombats4WBoxScore
38181Lions2Wombats4WBoxScore
42196Wombats4Aces3WBoxScore
44205Barracuda4Wombats3LXXBoxScore
46218Wombats2Marlies4LBoxScore
48225Firebirds5Wombats4LBoxScore
50240Wombats4Canucks2WBoxScore
51246Wombats3Quacken4LXXBoxScore
52253Aces4Wombats1LBoxScore
55269Barracuda3Wombats1LBoxScore
57281Wombats7Lions8LXBoxScore
58290Barons5Wombats2LBoxScore
62306Wombats-Nordiks-
63313Griffins-Wombats-
66328Wombats-Marlies-
68335Wombats-Broncos-
69342Marlies-Wombats-
72358Fighting Pandas-Wombats-
76375Butter Knives-Wombats-
79395Wombats-Firebirds-
80399Ice Bats-Wombats-
83418Wombats-Griffins-
84421Tomahawks-Wombats-
87439Wombats-Tomahawks-
89443Bruins-Wombats-
93463Nordiks-Wombats-
96478Wombats-Lions-
98486Marlies-Wombats-
100500Wombats-Roadrunners-
101507Wranglers-Wombats-
104522Wombats-Barons-
105529Wranglers-Wombats-
108542Wombats-Ice Bats-
109550Wombats-Roadrunners-
110555Fighting Pandas-Wombats-
113574Firebirds-Wombats-
114580Wombats-Ice Bats-
118595Canucks-Wombats-
121615Wombats-Bruins-
122618Quacken-Wombats-
125635Wombats-Bruins-
126640Lynx-Wombats-
131661Butter Knives-Wombats-
132672Wombats-Wranglers-
134683Broncos-Wombats-
135685Wombats-Lynx-
138704Broncos-Wombats-
139709Wombats-Lynx-
143725Wombats-Fighting Pandas-
144729Bruins-Wombats-
146742Wombats-Tomahawks-
148751Lynx-Wombats-
151771Americiens-Wombats-
152774Wombats-Butter Knives-
153781Wombats-Broncos-
156794Admirals-Wombats-
159808Wombats-Barracuda-
160815Roadrunners-Wombats-
162825Wombats-Fighting Pandas-
164837Admirals-Wombats-
166840Wombats-Butter Knives-
169855Wombats-Admirals-
170860Wombats-Americiens-
171864Roadrunners-Wombats-
174879Wombats-Admirals-
175881Wombats-Americiens-
177891Americiens-Wombats-
178898Wombats-Barracuda-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
27 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
475,304$ 950,000$ 950,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
950,000$ 311,402$ 13 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 121 8,056$ 974,776$




Wombats 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

Wombats Goalies Stat Leaders (Regular Season)

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

Wombats 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

Wombats 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

Wombats Goalies Stat Leaders (Play-Off)

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