Wranglers
GP: 49 | W: 8 | L: 37 | OTL: 4 | P: 20
GF: 209 | GA: 311 | PP%: 26.32% | PK%: 63.16%
Marc Gaudreault | 50 | 71
#804 vs Bears


Wranglers
8-37-4, 20pts
3
FINAL
1 Wild
41-9-0, 82pts
Team Stats
L1W1
5-16-319-5-0
3-21-122-4-0
1-8-18-2-0
4.275.62
6.353.72
26.32%46.67%
63.16%80.00%
Wranglers
8-37-4, 20pts
5
FINAL
9 Moose
43-6-2, 88pts
Team Stats
L1W5
5-16-324-3-1
3-21-119-3-1
1-8-19-1-0
4.276.67
6.353.98
26.32%32.56%
63.16%79.31%
Bears
20-27-2, 42pts
2025-01-28
Wranglers
8-37-4, 20pts
L5L1
11-12-15-16-3
9-15-13-21-1
3-7-01-8-1
4.184.27
4.904.27
23.33%26.32%
65.31%63.16%
Gulls
23-25-1, 47pts
2025-01-30
Wranglers
8-37-4, 20pts
W1L1
13-11-15-16-3
10-14-03-21-1
4-6-01-8-1
5.514.27
5.764.27
35.00%26.32%
71.74%63.16%
Griffins
13-32-5, 31pts
2025-02-01
Wranglers
8-37-4, 20pts
L3L1
8-17-35-16-3
5-15-23-21-1
3-7-01-8-1
4.724.27
6.264.27
29.41%26.32%
66.67%63.16%
Aliaksei Protas
Aliaksei Protas
35
William Lockwood
William Lockwood
39
Kevin Rooney
Kevin Rooney
66
Shawn Element
Shawn Element
1
Felix Sandstrom
Felix Sandstrom
8
Felix Sandstrom
Felix Sandstrom
0.811


209
4.27 GFG

1442
29.43 Avg

26.3%
10 GF

29.5%

311
6.35 GAA

1643
33.53 Avg

63.2%%
14 GA

32.0%


Marc Gaudreault
Pacific Division
Western Conference




5,000
5,000
5,000




22
21
43 / 55
42


PriorityDescription
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
# #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Aliaksei Protas (R)0X100.00595197798356948547767260788578050800221925,000$
2Kevin Rooney0X100.0069519778814555845871705677847705077N03021,261,000$
3William Lockwood (R)0X100.00775295768139558340716948768376050760251962,000$
4Brennan Othmann (R)0XXX100.00476481737679917836606840732540050720203863,334$
5Danil Gushchin0XXX100.00456483737679917836606840732540050720211828,334$
6Cole Schwindt (R)0X100.00456583727682957736596740722540050720221925,000$
7Adam Sykora (R)0XXX100.00446385717578907665586740712540050710183838,333$
8Kristian Reichel (R)0X100.00466182727672837765586840722540050710252750,000$
9Mikhail Abramov (R)0XXX100.00455883727665757765596740722540050700221809,444$
10Samuel Houde (R)0X100.00456384717676887665566740712540050700233750,000$
11Jan Mysak (R)0X100.00455083727658547765576740722540050690211828,333$
12Shawn Element (R)0X100.00505476717558657665576740722540050690231750,000$
13Nick Wolff0X100.00504876717558477636576642712540050710261750,000$
14Ryan MacKinnon0X100.00474081717558457636576640712540050700281750,000$
15Matteo Pietroniro0X100.00485679717560697536566642712540050700241750,000$
16Tyson Feist0X100.00484679717558457636576642712540050700221750,000$
17Libor Hajek0X100.00483679707558457536556640712540050690252750,000$
18Tobias Bjornfot33X100.00453783707558457536556640712540050690223750,000$
1Matthew Strome (R)0X100.00464782727658467736596740722540050690241750,000$
2Sean Farrell (R)0XXX100.00455484727658647765606740722540050690213897,500$
100.0050538472766367784860674372344605071
PriorityDescription
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
# #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Felix Sandstrom0100.0065555363656567655855622758050720261870,000$
2Jordan Papirny0100.0056555358595358505472552555050630271750,000$
100.006155536162596358566459265705068
PH DF OF PD EX LD PO CNT


PriorityDescription
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
# GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Kevin RooneyWranglers (CGY)C49283866-1900901171754210816.00%5789018.171671029000003050.00%4210942011.4800000321
2Aliaksei ProtasWranglers (CGY)C49353166-3900661401976312317.77%68105321.501235261121300148.58%59911361021.2501000335
3William LockwoodWranglers (CGY)RW49263965-3800115771776511614.69%41103821.193257251015262054.90%5113036011.2501000001
4Brennan OthmannWranglers (CGY)C/LW/RW49232851-3882707061157489114.65%1790018.3700000000000135.60%5147624001.1311419010
5Kristian ReichelWranglers (CGY)RW49183149-358064681353812113.33%2391418.6600000000000053.85%266517001.0700000211
6Danil GushchinWranglers (CGY)C/LW/RW49152439-2037154044103307214.56%2088218.01101524000000151.52%336513000.8800111004
7Cole SchwindtWranglers (CGY)C49132639-329660516882385315.85%21108122.070225270002231033.45%8823815000.7201336000
8Adam SykoraWranglers (CGY)C/LW/RW49112334-3817155759104399310.58%2694519.2900005000171053.06%494723000.7200012001
9Tyson FeistWranglers (CGY)D49122032-42120667543262227.91%62116823.85033028000025010%02559000.5500000010
10Ryan MacKinnonWranglers (CGY)D4951419-3940576140131612.50%64109622.37101228011127000%01631000.3500000000
11Matteo PietroniroWranglers (CGY)D4931619-3910053564418136.82%6197019.80000229000131000%01234000.3900000000
12Tobias BjornfotWranglers (CGY)D4931316-152026473512178.57%3883016.9600000000126010%0838000.3900000002
13David JiricekFlamesD116915-300193142192514.29%3027725.250000600008000%01717001.0800000200
14Libor HajekWranglers (CGY)D493912-208047623317149.09%4181216.580000000002000%01032000.3000000000
15Nick WolffWranglers (CGY)D38369-3660404527212211.11%5274419.5910122300000000%01719000.2400000000
16Mikhail AbramovWranglers (CGY)C/LW/RW49347-90016142171114.29%62605.322245320002320049.30%7185000.5400000000
17Samuel HoudeWranglers (CGY)C49145-2434302823238244.35%572714.8600000000000075.00%24712000.1400033000
18Benoit-Olivier GroulxFlamesC4011-300561310%4348.530000000000000%140000.5900000000
19Matthew StromeWranglers (CGY)LW2000000000000%010.660000000000000%00000000000000
20MacKenzie EntwistleFlamesRW1000-100123010%01717.780000100001000%22100000000000
21Jan MysakWranglers (CGY)C38000000100000%1110.310000000000000%10000000000000
22Shawn ElementWranglers (CGY)C49000100200000%030.07000000000000100.00%10000000000000
878208336544-4893161909141056144250794314.42%6371466316.7010172743289224142457540.46%2296769479040.7414892110815
PriorityDescription
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
# GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Felix SandstromWranglers (CGY)4983740.8116.342944203111643892301.0004490100
4983740.8116.342944203111643892304490100


PriorityDescription
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 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 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 Sykora Wranglers (CGY)C/LW/RW182004-09-07SLOYes179 Lbs5 ft10NoNoProspectNoNo32024-07-02FalseFalsePro & Farm838,333$342,177$0$0$No838,333$838,333$Restricted----838,333$838,333$-------NoNo-------Link / NHL Link
Aliaksei Protas Wranglers (CGY)C222001-01-06BLRYes225 Lbs6 ft6NoNoN/ANoNo1FalseFalseFarm Only925,000$377,551$0$0$No Restricted----------------------Link / NHL Link
Brennan Othmann Wranglers (CGY)C/LW/RW202003-01-05CANYes186 Lbs6 ft0NoNoProspectNoNo32024-07-02FalseFalsePro & Farm863,334$352,381$0$0$No863,334$863,334$ Restricted----863,334$863,334$-------NoNo-------Link / NHL Link
Cole Schwindt Wranglers (CGY)C222001-04-25CANYes182 Lbs6 ft2NoNoN/ANoNo1FalseFalseFarm Only925,000$377,551$0$0$NoRestricted----------------------Link / NHL Link
Danil Gushchin Wranglers (CGY)C/LW/RW212002-02-06RUSNo165 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm828,334$338,096$0$0$NoRestricted----------------------Link / NHL Link
Felix Sandstrom Wranglers (CGY)G261997-01-12SWENo191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm870,000$355,102$0$0$NoUnrestricted----------------------Link / NHL Link
Jan Mysak Wranglers (CGY)C212002-06-24CZEYes175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm828,333$338,095$0$0$NoRestricted----------------------Link / NHL Link
Jordan Papirny Wranglers (CGY)G271996-04-10CANNo185 Lbs6 ft1NoNoFree AgentNoNo12024-10-08FalseFalsePro & Farm750,000$306,122$0$0$NoUnrestricted----------------------Link / NHL Link
Kevin Rooney (1 Way Contract)Wranglers (CGY)C301993-05-21USANo190 Lbs6 ft2YesNoFree AgentNoYes22024-06-27FalseFalsePro & Farm1,261,000$514,694$55,510$136,000$No1,261,000$Unrestricted----1,261,000$--------Yes--------Link / NHL Link
Kristian Reichel Wranglers (CGY)RW251998-06-11CZEYes192 Lbs6 ft2NoNoFree AgentNoNo22024-08-13FalseFalsePro & Farm750,000$306,122$0$0$No750,000$ Restricted----750,000$--------No--------Link / NHL Link
Libor Hajek Wranglers (CGY)D251998-02-04CZENo209 Lbs6 ft2NoNoFree AgentNoNo22024-08-13FalseFalsePro & Farm750,000$306,122$0$0$No750,000$ Restricted----750,000$--------No--------Link / NHL Link
Matteo Pietroniro Wranglers (CGY)D241998-10-20USANo185 Lbs6 ft1NoNoFree AgentNoNo12024-10-08FalseFalsePro & Farm750,000$306,122$0$0$No Restricted----------------------Link / NHL Link
Matthew Strome Wranglers (CGY)LW241999-01-06CANYes206 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$306,122$0$0$No Restricted----------------------Link / NHL Link
Mikhail Abramov Wranglers (CGY)C/LW/RW222001-03-26RUSYes172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm809,444$330,385$0$0$NoRestricted----------------------Link / NHL Link
Nick Wolff Wranglers (CGY)D261996-07-21USANo220 Lbs6 ft5NoNoFree AgentNoNo12024-11-03FalseFalsePro & Farm750,000$306,122$0$0$NoUnrestricted----------------------Link / NHL Link
Ryan MacKinnon Wranglers (CGY)D281994-09-05CANNo200 Lbs6 ft0NoNoFree AgentNoNo12024-10-08FalseFalsePro & Farm750,000$306,122$0$0$NoUnrestricted----------------------Link / NHL Link
Samuel Houde Wranglers (CGY)C232000-03-06CANYes172 Lbs6 ft0NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm750,000$306,122$0$0$No750,000$750,000$ Restricted----750,000$750,000$-------NoNo-------Link / NHL Link
Sean Farrell Wranglers (CGY)C/LW/RW212001-11-02USAYes175 Lbs5 ft9NoNoProspectNoNo32024-07-02FalseFalsePro & Farm897,500$366,327$0$0$No897,500$897,500$ Restricted----897,500$897,500$-------NoNo-------Link / NHL Link
Shawn Element Wranglers (CGY)C232000-04-23CANYes197 Lbs5 ft11NoNoFree AgentNoNo12024-08-13FalseFalsePro & Farm750,000$306,122$0$0$No Restricted----------------------Link / NHL Link
Tobias Bjornfot Wranglers (CGY)D222001-04-06SWENo200 Lbs6 ft0NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm750,000$306,122$0$0$No750,000$750,000$ Restricted----750,000$750,000$-------NoNo-------Link / NHL Link
Tyson Feist Wranglers (CGY)D222001-01-14CANNo208 Lbs6 ft3NoNoFree AgentNoNo12024-10-08FalseFalsePro & Farm750,000$306,122$0$0$No Restricted----------------------Link / NHL Link
William Lockwood Wranglers (CGY)RW251998-06-20USAYes172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm962,000$392,653$0$0$No Restricted----------------------Link / NHL Link
2223.50190 Lbs6 ft11.59829,922$



1Samuel HoudeAliaksei ProtasWilliam Lockwood30122
2Kevin RooneyCole SchwindtDanil Gushchin30122
3Kristian ReichelBrennan OthmannAdam Sykora20122
4Aliaksei ProtasCole SchwindtWilliam Lockwood20122
1Nick WolffMatteo Pietroniro30122
2Ryan MacKinnonTyson Feist30122
3Libor HajekTobias Bjornfot20122
4Ryan MacKinnonTyson Feist20122
1Danil GushchinAliaksei ProtasWilliam Lockwood50122
2Mikhail AbramovCole SchwindtKevin Rooney50122
1Nick WolffMatteo Pietroniro50122
2Ryan MacKinnonTyson Feist50122
1Aliaksei ProtasWilliam Lockwood50122
2Cole SchwindtMikhail Abramov50122
1Tyson FeistMatteo Pietroniro50122
2Tobias BjornfotRyan MacKinnon50122
1Aliaksei Protas50122Ryan MacKinnonTyson Feist50122
2William Lockwood50122Libor HajekMatteo Pietroniro50122
1Aliaksei ProtasWilliam Lockwood50122
2Cole SchwindtKevin Rooney50122
1Ryan MacKinnonTyson Feist50122
2Matteo PietroniroLibor Hajek50122
Kevin RooneyAliaksei ProtasWilliam LockwoodNick WolffMatteo Pietroniro
Kevin RooneyAliaksei ProtasWilliam LockwoodNick WolffMatteo Pietroniro
Mikhail Abramov, William Lockwood, Aliaksei ProtasMikhail Abramov, William LockwoodAliaksei Protas
Tyson Feist, Tobias Bjornfot, Matteo PietroniroMatteo PietroniroRyan MacKinnon, Matteo Pietroniro
Aliaksei Protas, William Lockwood, Cole Schwindt, Brennan Othmann, Danil Gushchin
#1 : Felix Sandstrom, #2 : Jordan Papirny
Aliaksei Protas, William Lockwood, Cole Schwindt, Brennan Othmann, Danil Gushchin, Adam Sykora, Adam Sykora, Mikhail Abramov, Kristian Reichel, Samuel Houde, Kevin Rooney
Libor Hajek, Tobias Bjornfot, Matteo Pietroniro, Ryan MacKinnon, Tyson Feist


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
1Admirals303000001420-620200000912-31010000058-300.00014223600955954110450348745061063628482150.00%4250.00%127367440.50%28673239.07%37088142.00%10186351104386825411
2Americans20200000815-71010000048-41010000047-300.0008132100955954151503487450680301228100.00%10100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
3Barracuda1010000068-2000000000001010000068-200.00061117009559541295034874506371117182150.00%10100.00%127367440.50%28673239.07%37088142.00%10186351104386825411
4Bruins211000001112-1110000007611010000046-220.50011182900955954151503487450665371440000%2150.00%027367440.50%28673239.07%37088142.00%10186351104386825411
5Canucks30300000718-111010000017-620200000611-500.000791600955954171503487450688431454100.00%2150.00%027367440.50%28673239.07%37088142.00%10186351104386825411
6Checkers1010000057-21010000057-20000000000000.0005914009559541305034874506371441411100.00%20100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
7Comets1010000059-41010000059-40000000000000.000571200955954134503487450644160142150.00%000%027367440.50%28673239.07%37088142.00%10186351104386825411
8Condors211000001213-11010000069-31100000064220.50012223400955954166503487450664352147000%3166.67%027367440.50%28673239.07%37088142.00%10186351104386825411
9Crunch1010000037-41010000037-40000000000000.000347009559541295034874506369518200.00%000%027367440.50%28673239.07%37088142.00%10186351104386825411
10Firebirds1010000016-5000000000001010000016-500.000112009559541215034874506265221000%10100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
11Griffins1010000057-2000000000001010000057-200.0005914009559541265034874506337222000%110.00%027367440.50%28673239.07%37088142.00%10186351104386825411
12Gulls1010000067-1000000000001010000067-100.00061117009559541345034874506361112152150.00%110.00%027367440.50%28673239.07%37088142.00%10186351104386825411
13IceHogs312000001016-62110000089-11010000027-520.3331018280095595417950348745068637460200.00%20100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
14Islanders1000010067-11000010067-10000000000010.50061117009559541335034874506351601611100.00%000%027367440.50%28673239.07%37088142.00%10186351104386825411
15Monsters202000001013-31010000057-21010000056-100.00010152500955954161503487450669261927300.00%2150.00%027367440.50%28673239.07%37088142.00%10186351104386825411
16Moose303000001221-91010000047-320200000814-600.00012213300955954182503487450610438306311100.00%5260.00%027367440.50%28673239.07%37088142.00%10186351104386825411
17Penguins20200000215-131010000016-51010000019-800.0002240095595416050348745067423434200.00%12-100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
18Phantoms1010000037-41010000037-40000000000000.0003580095595412850348745063212020000%000%027367440.50%28673239.07%37088142.00%10186351104386825411
19Reign31100100913-4210001008801010000015-430.50091221009559541845034874506904247543133.33%10100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
20Roadrunners202000001215-31010000068-21010000067-100.00012183000955954161503487450673265292150.00%000%027367440.50%28673239.07%37088142.00%10186351104386825411
21Rocket1010000056-1000000000001010000056-100.00059140095595413050348745063410614000%30100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
22Senators211000001012-2110000005411010000058-320.50010152500955954156503487450666437352150.00%110.00%027367440.50%28673239.07%37088142.00%10186351104386825411
23Silver Knights20100100913-40000000000020100100913-410.250916250095595416750348745066728750000%10100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
24Stars11000000651000000000001100000065121.000611170095595412750348745062414722000%10100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
25Thunderbirds303000001520-51010000047-3202000001113-200.0001523380095595411005034874506100382562300.00%000%027367440.50%28673239.07%37088142.00%10186351104386825411
26Wild210001009811000010067-11100000031230.750913220095595416450348745067912240300.00%10100.00%027367440.50%28673239.07%37088142.00%10186351104386825411
27Wolf Pack1010000015-41010000015-40000000000000.0001230095595412250348745062782427000%2150.00%027367440.50%28673239.07%37088142.00%10186351104386825411
28Wolves10000010761100000107610000000000021.00079160095595414250348745063110022300.00%000%027367440.50%28673239.07%37088142.00%10186351104386825411
Total4973700410209311-1022441600310104153-492532100100105158-53200.204209336545009559541144250348745061643637318914381026.32%381463.16%227367440.50%28673239.07%37088142.00%10186351104386825411
_Since Last GM Reset4973700410209311-1022441600310104153-492532100100105158-53200.204209336545009559541144250348745061643637318914381026.32%381463.16%227367440.50%28673239.07%37088142.00%10186351104386825411
_Vs Conference3052200300128183-551228002005274-22183140010076109-33130.217128208336009559541889503487450698037622158321628.57%23769.57%227367440.50%28673239.07%37088142.00%10186351104386825411
_Vs Division1329002005078-28412001001524-9917001003554-1960.231508213200955954137250348745064081751202598337.50%10370.00%127367440.50%28673239.07%37088142.00%10186351104386825411

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4920L12093365451442164363731891400
All Games
GPWLOTWOTL SOWSOLGFGA
497370410209311
Home Games
GPWLOTWOTL SOWSOLGFGA
244160310104153
Visitor Games
GPWLOTWOTL SOWSOLGFGA
253210100105158
Last 10 Games
WLOTWOTL SOWSOL
180100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
381026.32%381463.16%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
50348745069559541
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
27367440.50%28673239.07%37088142.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10186351104386825411


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 Score Home Score ST OT SO RI Link
6 - 2024-10-099Wranglers3Canucks5LBoxScore
9 - 2024-10-1235Phantoms7Wranglers3LBoxScore
10 - 2024-10-1340Wranglers6Condors4WBoxScore
12 - 2024-10-1555IceHogs4Wranglers5WBoxScore
16 - 2024-10-1987Wranglers1Firebirds6LBoxScore
19 - 2024-10-22102Penguins6Wranglers1LBoxScore
21 - 2024-10-24114Wolves6Wranglers7WXXBoxScore
23 - 2024-10-26129Moose7Wranglers4LBoxScore
25 - 2024-10-28147Wranglers4Silver Knights7LBoxScore
27 - 2024-10-30158Wranglers6Roadrunners7LBoxScore
29 - 2024-11-01173Comets9Wranglers5LBoxScore
31 - 2024-11-03190Condors9Wranglers6LBoxScore
33 - 2024-11-05196Wranglers5Rocket6LBoxScore
35 - 2024-11-07208Wranglers4Bruins6LBoxScore
37 - 2024-11-09224Wranglers4Americans7LBoxScore
39 - 2024-11-11242Reign4Wranglers5WBoxScore
40 - 2024-11-12250Wranglers3Canucks6LBoxScore
43 - 2024-11-15269Admirals7Wranglers5LBoxScore
47 - 2024-11-19299Islanders7Wranglers6LXBoxScore
49 - 2024-11-21314Wolf Pack5Wranglers1LBoxScore
51 - 2024-11-23319Wild7Wranglers6LXBoxScore
53 - 2024-11-25340Wranglers5Senators8LBoxScore
55 - 2024-11-27350Wranglers5Griffins7LBoxScore
57 - 2024-11-29368Wranglers5Monsters6LBoxScore
58 - 2024-11-30380Wranglers1Penguins9LBoxScore
61 - 2024-12-03404Monsters7Wranglers5LBoxScore
63 - 2024-12-05417Thunderbirds7Wranglers4LBoxScore
66 - 2024-12-08442Wranglers6Stars5WBoxScore
68 - 2024-12-10451Wranglers5Admirals8LBoxScore
70 - 2024-12-12470Crunch7Wranglers3LBoxScore
72 - 2024-12-14485Checkers7Wranglers5LBoxScore
75 - 2024-12-17504Bruins6Wranglers7WBoxScore
77 - 2024-12-19517Senators4Wranglers5WBoxScore
79 - 2024-12-21529IceHogs5Wranglers3LBoxScore
86 - 2024-12-28576Wranglers6Barracuda8LBoxScore
87 - 2024-12-29584Wranglers5Silver Knights6LXBoxScore
89 - 2024-12-31600Canucks7Wranglers1LBoxScore
91 - 2025-01-02611Roadrunners8Wranglers6LBoxScore
93 - 2025-01-04627Admirals5Wranglers4LBoxScore
96 - 2025-01-07648Wranglers6Gulls7LBoxScore
97 - 2025-01-08653Wranglers1Reign5LBoxScore
100 - 2025-01-11681Reign4Wranglers3LXBoxScore
102 - 2025-01-13690Wranglers2IceHogs7LBoxScore
103 - 2025-01-14700Wranglers5Thunderbirds6LBoxScore
105 - 2025-01-16713Wranglers6Thunderbirds7LBoxScore
107 - 2025-01-18730Wranglers3Moose5LBoxScore
112 - 2025-01-23767Americans8Wranglers4LBoxScore
114 - 2025-01-25784Wranglers3Wild1WBoxScore
115 - 2025-01-26791Wranglers5Moose9LBoxScore
117 - 2025-01-28804Bears-Wranglers-
119 - 2025-01-30818Gulls-Wranglers-
121 - 2025-02-01834Griffins-Wranglers-
122 - 2025-02-02843Wranglers-Firebirds-
124 - 2025-02-04853Marlies-Wranglers-
126 - 2025-02-06868Eagles-Wranglers-
128 - 2025-02-08887Firebirds-Wranglers-
143 - 2025-02-23914Barracuda-Wranglers-
145 - 2025-02-25923Wranglers-Bears-
147 - 2025-02-27936Wranglers-Crunch-
149 - 2025-03-01951Wranglers-Checkers-
150 - 2025-03-02963Wranglers-Wolves-
152 - 2025-03-04977Wranglers-Phantoms-
154 - 2025-03-06994Wranglers-Stars-
156 - 2025-03-081008Rocket-Wranglers-
160 - 2025-03-121037Canucks-Wranglers-
162 - 2025-03-141052Eagles-Wranglers-
165 - 2025-03-171076Wranglers-Marlies-
166 - 2025-03-181079Wranglers-Wolf Pack-
168 - 2025-03-201090Wranglers-Comets-
170 - 2025-03-221108Wranglers-Islanders-
173 - 2025-03-251137Firebirds-Wranglers-
175 - 2025-03-271150Stars-Wranglers-
177 - 2025-03-291167Wranglers-Condors-
179 - 2025-03-311180Wranglers-Eagles-
180 - 2025-04-011188Wranglers-Roadrunners-
182 - 2025-04-031203Gulls-Wranglers-
184 - 2025-04-051220Silver Knights-Wranglers-
186 - 2025-04-071234Wranglers-Barracuda-
188 - 2025-04-091249Wranglers-Gulls-
190 - 2025-04-111264Wild-Wranglers-
192 - 2025-04-131283Barracuda-Wranglers-
194 - 2025-04-151299Silver Knights-Wranglers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance84,00036,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
17 5000 - 100.00% 108,375$2,601,000$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
10,393,795$ 16,997,278$ 16,997,278$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
86,721$ 10,393,795$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,842,375$ 80 86,721$ 6,937,680$




Wranglers 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

Wranglers Goalies Stat Leaders (Regular Season)

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

Wranglers 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

Wranglers 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

Wranglers Goalies Stat Leaders (Play-Off)

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