Wild
GP: 50 | W: 41 | L: 9 | OTL: 0 | P: 82
GF: 281 | GA: 186 | PP%: 46.67% | PK%: 80.00%
Vincent Aldrich | 50 | 74
#807 vs Marlies


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%
Wild
41-9-0, 82pts
5
FINAL
3 IceHogs
24-21-4, 52pts
Team Stats
W1L1
19-5-017-7-2
22-4-07-14-2
8-2-06-3-1
5.624.76
3.724.18
46.67%25.64%
80.00%62.22%
Wild
41-9-0, 82pts
2025-01-29
Marlies
37-12-1, 75pts
W1L1
19-5-026-3-0
22-4-011-9-1
8-2-05-4-1
5.624.84
3.724.84
46.67%30.91%
80.00%72.09%
Wild
41-9-0, 82pts
2025-01-30
Rocket
28-16-5, 61pts
W1L1
19-5-018-5-2
22-4-010-11-3
8-2-07-2-1
5.625.33
3.725.33
46.67%26.32%
80.00%74.19%
Wild
41-9-0, 82pts
2025-02-01
Senators
22-27-1, 45pts
W1W3
19-5-014-9-0
22-4-08-18-1
8-2-08-2-0
5.624.72
3.724.72
46.67%32.35%
80.00%71.88%
Kyle Okposo
Kyle Okposo
48
Brett Leason
Brett Leason
43
Kyle Okposo
Kyle Okposo
87
Dylan Gambrell
Dylan Gambrell
39
Kevin Lankinen
Kevin Lankinen
41
Kevin Lankinen
Kevin Lankinen
0.887


281
5.62 GFG

1746
34.92 Avg

46.7%
21 GF

33.3%

186
3.72 GAA

1651
33.02 Avg

80.0%%
11 GA

33.3%


Vincent Aldrich
Central Division
Western Conference




5,000
5,000
5,000




23
18
41 / 55
2


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
1Barclay Goodrow0X100.006754917981579785627471737885780508103033,641,667$
2Kyle Okposo0X100.0062539480846081864974745880868005081N03512,500,000$
3Brett Leason0X100.00625296798153828441737258788478050790242869,500$
4Steven Lorentz0X100.007052967781435583557271477783770507702721,081,500$
5Joe Snively0X100.00456583737681947865636740732540050730272824,000$
6Linus Weissbach (R)0X100.00466583727681947736596740722540050720253868,000$
7Carsen Twarynski0XXX100.00466683717583977636566740712540050710253840,000$
8Dylan Gambrell0XXX100.00456384727678907765596740722540050710263888,360$
9Brian Pinho0XXX100.00445784727662727765606740722540050700281750,000$
10Danila Klimovich (R)0X100.00456483717579917636566740712540050700202925,000$
11Tucker Robertson (R)0XXX100.00455083717558537665566740712540050680203870,000$
12Zach Dean (R)0XXX100.00455583717558667665566740722540050680203852,500$
13Ben Hutton0X100.00585295798460558840747254808880050820303816,000$
14Jake Christiansen (R)0X100.00605197778051558440736950778477050790233806,000$
15Ryan Shea0X100.00605197768047558440706947778477050770263875,750$
16Robbie Russo0X100.00466682727585987736596646712540050740301750,000$
17Robert Hagg0X100.004654817175586476365766477125400507102811,730,400$
18Mitch Reinke0X100.00455684717561717636586641712540050700273883,500$
1Bradley Marek0XXX100.00444384717658457665556740712540050680221750,000$
100.0052568874786474804963684674475405074
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
1Kevin Lankinen0100.00725553747370787672777432760508102812,060,000$
2Cale Morris0100.0057555359585359505473552555050640272772,500$
1Vadim Zherenko (R)0100.0071567775737074616874692555050800221846,667$
2Taylor Gauthier (R)0100.0056555359595359505473552555050640221859,167$
100.006455596766626859627463276005072
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
1Kyle OkposoWild (MIN)RW43483987380092871896210525.40%3177217.9700000000005166.67%2411437032.25000001360
2Brett LeasonWild (MIN)RW50434386342073981885513722.87%51106621.323258260113406244.44%8112041031.6100000575
3Ben HuttonWild (MIN)D504439833012069102191796523.04%90120424.09156931101437610%09656041.3800000743
4Dylan GambrellWild (MIN)C/LW/RW5013425539160524093214313.98%1592018.41246734000005050.88%6782112001.2000000035
5Steven LorentzWild (MIN)C5018365433008949104246617.31%777115.4333611270002452154.24%6496613001.4000000223
6Ryan SheaWild (MIN)D5017314836206270119475414.29%58101420.292681230000045200%03941010.9500000133
7Barclay GoodrowWild (MIN)C46837452617562929334768.60%5268314.86044424000050162.90%624122001.3200010121
8Joe SnivelyWild (MIN)LW491529443864406236112455813.39%692218.822576320001333167.39%46447000.9500224042
9Jake ChristiansenWild (MIN)D501330432880796784383915.48%82120524.123251031011138110%04253000.7100000035
10Linus WeissbachWild (MIN)LW5011203121610664411858819.32%2082116.4410125000002030.00%305711000.7500110201
11Carsen TwarynskiWild (MIN)C/LW/RW50101929-17775503791286110.99%2080116.03101426000004035.85%4774523000.7200357001
12Robbie RussoWild (MIN)D5072128339175425746262515.22%4597919.59235427000038010%01339000.57002310000
13Robert HaggWild (MIN)D50717242060356048131714.58%5080016.020000300000100%01236010.6000000100
14Brian PinhoWild (MIN)C/LW/RW505172214171524207323386.85%851310.2700000000001051.26%318223000.8600012000
15Danila KlimovichWild (MIN)RW5071421-321548439224607.61%1681516.31000000000391135.94%643214000.5100001100
16Tucker RobertsonWild (MIN)C/LW/RW50610161320341443122013.95%54919.8200000000001033.33%15183000.6500000002
17Joey AndersonWildRW64812100101121101819.05%1010918.1712325000060050.00%8153002.2000000010
18Boris KatchoukWildLW444880093111636.36%47117.7600002000041050.00%881002.2500000210
19Mitch ReinkeWild (MIN)D50156202034332113114.76%3680116.0300000000017000%01626000.1500000001
20Zach DeanWild (MIN)C/LW/RW8044400776360%28210.3100000000000050.00%221000.9700000000
21Bradley MarekWild (MIN)C/LW/RW44000600313510%0671.5400000000030050.00%25100000000000
9002814657464193532251002971174662198716.09%6081491716.582136577930912311356411048.70%24648284430121.000081324353632
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
1Kevin LankinenWild (MIN)5041900.8873.7230012018616519867000500103
5041900.8873.723001201861651986700500103


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
Barclay Goodrow (1 Way Contract)Wild (MIN)C301993-02-26CANNo204 Lbs6 ft2NoNoN/ANoYes3FalseFalsePro & Farm3,641,667$1,486,395$1,027,211$2,516,667$No3,641,667$3,641,667$Unrestricted----3,641,667$3,641,667$-------NoNo-------Link / NHL Link
Ben Hutton Wild (MIN)D301993-04-20CANNo201 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm816,000$333,061$0$0$No816,000$816,000$Unrestricted----816,000$816,000$-------NoNo-------Link / NHL Link
Bradley Marek Wild (MIN)C/LW/RW222000-11-13USANo212 Lbs6 ft3NoNoFree AgentNoNo12024-10-24FalseFalsePro & Farm750,000$306,122$0$0$No Restricted----------------------Link / NHL Link
Brett Leason Wild (MIN)RW241999-04-30CANNo218 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm869,500$354,898$0$0$No869,500$ Restricted----869,500$--------No--------Link / NHL Link
Brian Pinho Wild (MIN)C/LW/RW281995-05-11USANo186 Lbs6 ft1NoNoFree AgentNoNo12024-09-25FalseFalsePro & Farm750,000$306,122$0$0$NoUnrestricted----------------------Link / NHL Link
Cale Morris Wild (MIN)G271996-05-22USANo193 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm772,500$315,306$0$0$No772,500$Unrestricted----772,500$--------No--------Link / NHL Link
Carsen Twarynski Wild (MIN)C/LW/RW251997-11-24CANNo198 Lbs6 ft2NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm840,000$342,857$0$0$No840,000$840,000$Unrestricted----840,000$840,000$-------NoNo-------Link / NHL Link
Danila Klimovich Wild (MIN)RW202003-01-09BELYes208 Lbs6 ft1NoNoN/ANoNo2FalseFalseFarm Only925,000$377,551$0$0$No925,000$Restricted----925,000$--------No--------Link / NHL Link
Dylan Gambrell Wild (MIN)C/LW/RW261996-08-26USANo185 Lbs5 ft11NoNoN/ANoNo32024-06-19FalseFalsePro & Farm888,360$362,596$0$0$No888,360$888,360$Unrestricted----888,360$888,360$-------NoNo-------Link / NHL Link
Jake Christiansen Wild (MIN)D231999-09-12CANYes193 Lbs6 ft0NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm806,000$328,980$0$0$No806,000$806,000$ Restricted----806,000$806,000$-------NoNo-------Link / NHL Link
Joe Snively Wild (MIN)LW271996-01-01USANo176 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm824,000$336,327$0$0$No824,000$Unrestricted----824,000$--------No--------Link / NHL Link
Kevin Lankinen (1 Way Contract)Wild (MIN)G281995-04-28FINNo190 Lbs6 ft2NoNoTrade2024-03-10NoYes1FalseFalsePro & Farm2,060,000$840,816$381,633$935,000$NoUnrestricted----------------------Link / NHL Link
Kyle Okposo (1 Way Contract)Wild (MIN)RW351988-04-16USANo218 Lbs6 ft0YesNoN/ANoYes1FalseFalsePro & Farm2,500,000$1,020,408$561,224$1,375,000$NoUnrestricted----------------------Link / NHL Link
Linus Weissbach Wild (MIN)LW251998-04-19SWEYes177 Lbs5 ft9NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm868,000$354,286$0$0$No868,000$868,000$ Restricted----868,000$868,000$-------NoNo-------Link / NHL Link
Mitch Reinke Wild (MIN)D271996-02-04USANo181 Lbs5 ft11NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm883,500$360,612$0$0$No883,500$883,500$Unrestricted----883,500$883,500$-------NoNo-------Link / NHL Link
Robbie Russo Wild (MIN)D301993-02-15USANo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$306,122$0$0$NoUnrestricted----------------------Link / NHL Link
Robert Hagg (1 Way Contract)Wild (MIN)D281995-02-08SWENo210 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm1,730,400$706,286$247,102$605,400$NoUnrestricted----------------------Link / NHL Link
Ryan Shea Wild (MIN)D261997-02-11USANo200 Lbs6 ft2NoNoTrade2024-09-29NoNo32024-08-05FalseFalsePro & Farm875,750$357,449$0$0$No875,750$875,750$Unrestricted----875,750$875,750$-------NoNo-------Link / NHL Link
Steven Lorentz Wild (MIN)C271996-04-13CANNo206 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,081,500$441,429$0$0$No1,081,500$Unrestricted----1,081,500$--------No--------Link / NHL Link
Taylor Gauthier Wild (MIN)G222001-02-15CANYes208 Lbs6 ft2NoNoTrade2024-04-15NoNo1FalseFalsePro & Farm859,167$350,680$0$0$NoRestricted----------------------Link / NHL Link
Tucker Robertson Wild (MIN)C/LW/RW202003-06-22CANYes190 Lbs5 ft10NoNoProspectNoNo32024-07-02FalseFalsePro & Farm870,000$355,102$0$0$No870,000$870,000$Restricted----870,000$870,000$-------NoNo-------Link / NHL Link
Vadim Zherenko Wild (MIN)G222001-03-15RUSYes196 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm846,667$345,578$0$0$NoRestricted----------------------Link / NHL Link
Zach Dean Wild (MIN)C/LW/RW202003-01-04CANYes176 Lbs6 ft0NoNoProspectNoNo32024-07-02FalseFalsePro & Farm852,500$347,959$0$0$No852,500$852,500$ Restricted----852,500$852,500$-------NoNo-------Link / NHL Link
2325.74196 Lbs6 ft12.091,133,066$



1Barclay GoodrowSteven LorentzBrett Leason30122
2Brian PinhoDylan GambrellKyle Okposo30122
3Linus WeissbachCarsen TwarynskiDanila Klimovich20122
4Tucker RobertsonBrian PinhoBrett Leason20122
1Ben HuttonJake Christiansen30122
2Ryan SheaRobbie Russo30122
3Robert HaggMitch Reinke20122
4Ben HuttonJake Christiansen20122
1Barclay GoodrowSteven LorentzBrett Leason50122
2Linus WeissbachDylan GambrellCarsen Twarynski50122
1Ben HuttonJake Christiansen50122
2Ryan SheaRobbie Russo50122
1Brett LeasonBarclay Goodrow50122
2Danila KlimovichSteven Lorentz50122
1Ben HuttonJake Christiansen50122
2Ryan SheaRobbie Russo50122
1Brett Leason50122Ben HuttonJake Christiansen50122
2Steven Lorentz50122Ryan SheaRobbie Russo50122
1Brett LeasonLinus Weissbach50122
2Barclay GoodrowSteven Lorentz50122
1Ben HuttonJake Christiansen50122
2Ryan SheaRobbie Russo50122
Barclay GoodrowSteven LorentzBrett LeasonBen HuttonJake Christiansen
Barclay GoodrowSteven LorentzBrett LeasonBen HuttonJake Christiansen
Linus Weissbach, Carsen Twarynski, Danila KlimovichLinus Weissbach, Carsen TwarynskiDanila Klimovich
Robert Hagg, Mitch Reinke, Ryan SheaRobert HaggMitch Reinke, Ryan Shea
Brett Leason, Linus Weissbach, Carsen Twarynski, Steven Lorentz, Barclay Goodrow
#1 : Kevin Lankinen, #2 : Cale Morris
Brett Leason, Barclay Goodrow, Kyle Okposo, Steven Lorentz, Tucker Robertson, Linus Weissbach, Linus Weissbach, Dylan Gambrell, Carsen Twarynski, Danila Klimovich, Brian Pinho
Ben Hutton, Jake Christiansen, Ryan Shea, Robbie Russo, Robert Hagg


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
1Admirals330000002111102200000014681100000075261.000213859001099574310860162951159732235422100.00%4175.00%040481849.39%39281847.92%40482449.03%11227431072381808400
2Americans1010000045-1000000000001010000045-100.000471100109957433060162951152913021000%000%040481849.39%39281847.92%40482449.03%11227431072381808400
3Barracuda2200000012930000000000022000000129341.00012183000109957436760162951156231940000%20100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
4Bears11000000633000000000001100000063321.000691500109957434160162951153913122011100.00%10100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
5Canucks1010000035-21010000035-20000000000000.00035800109957432660162951153680182150.00%000%040481849.39%39281847.92%40482449.03%11227431072381808400
6Checkers2100100012102110000005411000100076141.0001223350010995743706016295115622563511100.00%3166.67%140481849.39%39281847.92%40482449.03%11227431072381808400
7Condors330000002161522000000155101100000061561.000213556001099574310160162951151002522615360.00%6183.33%040481849.39%39281847.92%40482449.03%11227431072381808400
8Crunch2110000067-11010000013-21100000054120.5006111700109957437960162951159522934100.00%2150.00%040481849.39%39281847.92%40482449.03%11227431072381808400
9Eagles2200000013310110000007161100000062441.0001322350010995743696016295115522531463266.67%3166.67%040481849.39%39281847.92%40482449.03%11227431072381808400
10Firebirds11000000633110000006330000000000021.0006111700109957433260162951153521214000%10100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
11Gulls2110000010730000000000021100000107320.5001016260010995743746016295115752812443133.33%10100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
12IceHogs4400000023121122000000136722000000106481.000234063001099574314960162951151344925764250.00%5180.00%040481849.39%39281847.92%40482449.03%11227431072381808400
13Marlies1010000015-41010000015-40000000000000.000112001099574333601629511526107272150.00%10100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
14Monsters220000001385110000008441100000054141.0001321340010995743716016295115612427464375.00%10100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
15Moose3200100017143110000009812100100086261.00017264300109957431026016295115102352250200.00%6350.00%040481849.39%39281847.92%40482449.03%11227431072381808400
16Penguins1010000024-2000000000001010000024-200.00024600109957433760162951153115423100.00%2150.00%040481849.39%39281847.92%40482449.03%11227431072381808400
17Phantoms220000001156110000006241100000053241.000112031001099574356601629511557231233200.00%10100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
18Reign21100000151231010000067-11100000095420.5001523380010995743746016295115642221463266.67%3166.67%040481849.39%39281847.92%40482449.03%11227431072381808400
19Roadrunners33000000191092200000013761100000063361.0001928470010995743966016295115117402161000%30100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
20Rocket11000000541110000005410000000000021.00059140010995743376016295115311101711100.00%000%040481849.39%39281847.92%40482449.03%11227431072381808400
21Senators11000000532110000005320000000000021.0005813001099574326601629511533141229100.00%10100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
22Silver Knights2110000013103110000008351010000057-220.500132235001099574388601629511570293940100.00%20100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
23Stars220000001798110000009361100000086241.000172643001099574370601629511569201231000%10100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
24Thunderbirds33000000141131100000043122000000108261.000142438001099574387601629511588391665200.00%30100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
25Wolves11000000413000000000001100000041321.0004610001099574344601629511522125153133.33%000%040481849.39%39281847.92%40482449.03%11227431072381808400
26Wranglers2010100089-11010000013-21000100076120.5008122000109957437960162951156422656100.00%30100.00%040481849.39%39281847.92%40482449.03%11227431072381808400
Total50389030002811869524195000001398554261940300014210141820.82028146574600109957431746601629511516516083551002452146.67%551180.00%140481849.39%39281847.92%40482449.03%11227431072381808400
_Since Last GM Reset50389030002811869524195000001398554261940300014210141820.82028146574600109957431746601629511516516083551002452146.67%551180.00%140481849.39%39281847.92%40482449.03%11227431072381808400
_Vs Conference3528502000212131811714300000108604818142020001047133600.8572123465580010995743122260162951151165426261702281346.43%43881.40%040481849.39%39281847.92%40482449.03%11227431072381808400
_Vs Division201900100012470541010000000693435109001000553619401.0001242043280010995743681601629511565924015038313646.15%25676.00%040481849.39%39281847.92%40482449.03%11227431072381808400

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5082W128146574617461651608355100200
All Games
GPWLOTWOTL SOWSOLGFGA
503893000281186
Home Games
GPWLOTWOTL SOWSOLGFGA
24195000013985
Visitor Games
GPWLOTWOTL SOWSOLGFGA
261943000142101
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
452146.67%551180.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
601629511510995743
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
40481849.39%39281847.92%40482449.03%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11227431072381808400


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DayGame Visitor Score Home Score ST OT SO RI Link
7 - 2024-10-1018Monsters4Wild8WBoxScore
9 - 2024-10-1233Firebirds3Wild6WBoxScore
10 - 2024-10-1338Wild2Moose1WBoxScore
12 - 2024-10-1552Wild5Thunderbirds4WBoxScore
16 - 2024-10-1983Wild5Monsters4WBoxScore
19 - 2024-10-2293Wild7Checkers6WXBoxScore
21 - 2024-10-24112Wild5Crunch4WBoxScore
23 - 2024-10-26123Wild5Phantoms3WBoxScore
26 - 2024-10-29153Wild2Penguins4LBoxScore
29 - 2024-11-01172Crunch3Wild1LBoxScore
31 - 2024-11-03189Marlies5Wild1LBoxScore
33 - 2024-11-05200Reign7Wild6LBoxScore
35 - 2024-11-07219Wild7Barracuda5WBoxScore
36 - 2024-11-08222Wild5Gulls6LBoxScore
38 - 2024-11-10237Wild5IceHogs3WBoxScore
42 - 2024-11-14263Rocket4Wild5WBoxScore
44 - 2024-11-16281Stars3Wild9WBoxScore
47 - 2024-11-19296Wild5Thunderbirds4WBoxScore
49 - 2024-11-21315Wild6Condors1WBoxScore
51 - 2024-11-23319Wild7Wranglers6WXBoxScore
53 - 2024-11-25342Moose8Wild9WBoxScore
55 - 2024-11-27347Wild4Americans5LBoxScore
57 - 2024-11-29363IceHogs3Wild6WBoxScore
58 - 2024-11-30384Admirals4Wild8WBoxScore
61 - 2024-12-03402Canucks5Wild3LBoxScore
64 - 2024-12-06424Wild5Gulls1WBoxScore
65 - 2024-12-07434Wild9Reign5WBoxScore
68 - 2024-12-10454Wild6Roadrunners3WBoxScore
70 - 2024-12-12467Condors1Wild7WBoxScore
72 - 2024-12-14476Phantoms2Wild6WBoxScore
73 - 2024-12-15493Silver Knights3Wild8WBoxScore
76 - 2024-12-18509Checkers4Wild5WBoxScore
78 - 2024-12-20526Roadrunners4Wild6WBoxScore
79 - 2024-12-21536Wild6Moose5WXBoxScore
81 - 2024-12-23554IceHogs3Wild7WBoxScore
85 - 2024-12-27563Wild8Stars6WBoxScore
87 - 2024-12-29583Senators3Wild5WBoxScore
89 - 2024-12-31596Admirals2Wild6WBoxScore
91 - 2025-01-02605Wild6Bears3WBoxScore
93 - 2025-01-04624Wild4Wolves1WBoxScore
96 - 2025-01-07646Thunderbirds3Wild4WBoxScore
98 - 2025-01-09662Eagles1Wild7WBoxScore
100 - 2025-01-11683Wild5Barracuda4WBoxScore
101 - 2025-01-12688Wild5Silver Knights7LBoxScore
104 - 2025-01-15706Condors4Wild8WBoxScore
107 - 2025-01-18733Wild7Admirals5WBoxScore
109 - 2025-01-20741Wild6Eagles2WBoxScore
112 - 2025-01-23766Roadrunners3Wild7WBoxScore
114 - 2025-01-25784Wranglers3Wild1LBoxScore
115 - 2025-01-26792Wild5IceHogs3WBoxScore
118 - 2025-01-29807Wild-Marlies-
119 - 2025-01-30813Wild-Rocket-
121 - 2025-02-01828Wild-Senators-
124 - 2025-02-04845Wild-Bruins-
126 - 2025-02-06867Wolves-Wild-
128 - 2025-02-08886Islanders-Wild-
142 - 2025-02-22894Wild-Griffins-
145 - 2025-02-25928Griffins-Wild-
147 - 2025-02-27942Wild-Roadrunners-
148 - 2025-02-28947Wild-Eagles-
150 - 2025-03-02962Bruins-Wild-
152 - 2025-03-04982Wild-Firebirds-
155 - 2025-03-071000Wild-Canucks-
157 - 2025-03-091015Penguins-Wild-
159 - 2025-03-111030Eagles-Wild-
161 - 2025-03-131046Wolf Pack-Wild-
163 - 2025-03-151063Thunderbirds-Wild-
165 - 2025-03-171077Reign-Wild-
167 - 2025-03-191088Firebirds-Wild-
170 - 2025-03-221106Americans-Wild-
172 - 2025-03-241127Wild-Stars-
173 - 2025-03-251134Silver Knights-Wild-
175 - 2025-03-271148Bears-Wild-
177 - 2025-03-291162Comets-Wild-
179 - 2025-03-311178Wild-Comets-
181 - 2025-04-021192Wild-Wolf Pack-
183 - 2025-04-041208Wild-Islanders-
185 - 2025-04-061223Stars-Wild-
188 - 2025-04-091247Barracuda-Wild-
190 - 2025-04-111264Wild-Wranglers-
191 - 2025-04-121273Wild-Canucks-
194 - 2025-04-151298Gulls-Wild-



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
9,544,319$ 16,128,444$ 16,128,444$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
82,288$ 9,544,319$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,842,375$ 80 82,288$ 6,583,040$




Wild 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

Wild Goalies Stat Leaders (Regular Season)

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

Wild 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

Wild 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

Wild Goalies Stat Leaders (Play-Off)

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