Wild

GP: 33 | W: 5 | L: 26 | OTL: 2 | P: 12
GF: 69 | GA: 177 | PP%: 10.64% | PK%: 74.55%
GM : Kevin Bourassa | Morale : 50 | Team Overall : 63
Next Games #540 vs Reign

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PriorityTypeDescription
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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.
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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 SP
1Aatu Raty0X100.007339856578808863836465616663657150650
2Rasmus Kupari0X100.007136937081757665816162696366687950650
3Joshua Roy0XX100.006337946673888365616264636762655150640
4Nikolai Kovalenko0X100.006933916766797066546561626466684750630
5William Lockwood0X100.006939876071778057555958566067695650600
6Xavier Bourgault0X100.006037905969838256595857555663658150590
7Chase Priskie0X100.006238846071748459306257584969714050620
8Jeremy Davies0X100.005939736068808659306556574969714050620
9Topi Niemela0X100.005537856164678459306253554763656650590
10Joni Jurmo0X100.007238935381616252305150544563656450570
Scratches
TEAM AVERAGE100.00653788627276806051615859576567605062
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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 SP
1Jakub Skarek100.00748278897372747372747366756250730
Scratches
TEAM AVERAGE100.0074827889737274737274736675625073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Anders Sorensen72737477767176SWE5071,000,000$


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
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# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aatu RatyC232002-11-14No190 Lbs6 ft2NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Chase PriskieD291996-03-19No185 Lbs6 ft0NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jakub SkarekG261999-11-10No211 Lbs6 ft4NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jeremy DaviesD291996-12-04No180 Lbs5 ft11NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Joni JurmoD232002-04-19No190 Lbs6 ft3NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Joshua RoyLW/RW222003-08-06No192 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Nikolai KovalenkoRW261999-10-17No180 Lbs5 ft10NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Rasmus KupariC252000-03-15No201 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Topi NiemelaD232002-03-25No156 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
William LockwoodRW271998-06-20No178 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Xavier BourgaultRW232002-10-22No172 Lbs6 ft0NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1125.09185 Lbs6 ft12.82554,545$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3312OTW169137206962151843525063600
All Games
GPWLOTWOTL SOWSOLGFGA
33326220069177
Home Games
GPWLOTWOTL SOWSOLGFGA
1421101003369
Visitor Games
GPWLOTWOTL SOWSOLGFGA
19115210036108
Last 10 Games
WLOTWOTL SOWSOL
181000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
941010.64%1102874.55%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
30030835042723172
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33388837.50%374114632.64%17952234.29%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
5133421112238361144


Last Played Games
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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
9 - 2025-08-2315Moose5Wild4LBoxScore
10 - 2025-08-2427Moose4Wild3LXBoxScore
16 - 2025-08-3056Wild0Barracuda2LBoxScore
17 - 2025-08-3163Wild1Barracuda8LBoxScore
20 - 2025-09-0367Admirals6Wild2LBoxScore
22 - 2025-09-0578Wild0Stars7LBoxScore
23 - 2025-09-0692Wild1Stars7LBoxScore
26 - 2025-09-09101Wild0Wolves6LBoxScore
30 - 2025-09-13128Barracuda7Wild1LBoxScore
31 - 2025-09-14135Barracuda8Wild1LBoxScore
35 - 2025-09-18148Griffins6Wild3LBoxScore
37 - 2025-09-20164Wild1IceHogs6LBoxScore
43 - 2025-09-26197Stars3Wild2LBoxScore
44 - 2025-09-27207Stars2Wild0LBoxScore
50 - 2025-10-03231Wild3Griffins2WXBoxScore
52 - 2025-10-05257Wild2Griffins8LBoxScore
57 - 2025-10-10267Wild7Checkers8LXBoxScore
58 - 2025-10-11279Wild5Checkers3WBoxScore
65 - 2025-10-18323Admirals5Wild1LBoxScore
66 - 2025-10-19335Admirals4Wild1LBoxScore
69 - 2025-10-22348IceHogs4Wild6WBoxScore
71 - 2025-10-24357Wild1Admirals5LBoxScore
72 - 2025-10-25368Wild1IceHogs2LBoxScore
75 - 2025-10-28385IceHogs5Wild3LBoxScore
78 - 2025-10-31404Wolves7Wild2LBoxScore
79 - 2025-11-01418Wild1Wolves6LBoxScore
85 - 2025-11-07435Wild4IceHogs5LBoxScore
86 - 2025-11-08445IceHogs3Wild4WBoxScore
89 - 2025-11-11462Wild3IceHogs6LBoxScore
91 - 2025-11-13470Wild1Wolves10LBoxScore
92 - 2025-11-14476Wild0Admirals7LBoxScore
97 - 2025-11-19506Wild1Gulls7LBoxScore
99 - 2025-11-21519Wild4Reign3WXBoxScore
101 - 2025-11-23540Wild-Reign-
104 - 2025-11-26555Wild-Gulls-
106 - 2025-11-28564IceHogs-Wild-
107 - 2025-11-29570IceHogs-Wild-
111 - 2025-12-03597Checkers-Wild-
114 - 2025-12-06619Stars-Wild-
115 - 2025-12-07631Stars-Wild-
117 - 2025-12-09634Checkers-Wild-
120 - 2025-12-12656Thunderbirds-Wild-
121 - 2025-12-13668Thunderbirds-Wild-
128 - 2025-12-20690Wild-Moose-
129 - 2025-12-21705Wild-Moose-
134 - 2025-12-26728Griffins-Wild-
135 - 2025-12-27734Griffins-Wild-
137 - 2025-12-29757IceHogs-Wild-
141 - 2026-01-02775Wild-IceHogs-
142 - 2026-01-03785Wild-Wolves-
143 - 2026-01-04798Wild-Griffins-
146 - 2026-01-07810Wolves-Wild-
148 - 2026-01-09820Wild-Admirals-
149 - 2026-01-10831Wild-Griffins-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16865Wild-IceHogs-
156 - 2026-01-17876Wild-Admirals-
163 - 2026-01-24916Moose-Wild-
164 - 2026-01-25930Moose-Wild-
170 - 2026-01-31966Reign-Wild-
171 - 2026-02-01976Reign-Wild-
174 - 2026-02-04987Wolves-Wild-
176 - 2026-02-06995Wild-Thunderbirds-
177 - 2026-02-071010Wild-Thunderbirds-
180 - 2026-02-101025Wild-Stars-
181 - 2026-02-111034Wild-Stars-
183 - 2026-02-131046Gulls-Wild-
185 - 2026-02-151066Gulls-Wild-
188 - 2026-02-181076Admirals-Wild-
190 - 2026-02-201085Wild-Moose-
191 - 2026-02-211096Wild-Moose-
195 - 2026-02-251119Wolves-Wild-
198 - 2026-02-281143Griffins-Wild-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance26,49212,873
Attendance PCT94.61%91.95%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
22 2812 - 93.73% 70,420$985,878$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
536,329$ 61,000$ 61,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 36,329$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,549,237$ 100 5,305$ 530,500$




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
1282274403503283342-5941172001201155164-941102402302128178-5068283485768000134935325470878813828258975199516404688117.31%3859874.55%21145242947.14%936227041.23%630134146.98%190913962140555907437
1376283605502265285-2038191303300155134213892302202110151-4173265442707320106718323830800766804202860092614384438619.41%4059975.56%11127240446.88%784193640.50%570123246.27%199614881740490842429
1476431902444242128114382012010321316764382370141211161501062424426840170102765821930727743705161347471113063628523.48%2823189.01%51338240055.75%1049207750.51%602102858.56%216415871534492907490
1476431902444242128114382012010321316764382370141211161501062424426840170102765821930727743705161347471113063628523.48%2823189.01%51338240055.75%1049207750.51%602102858.56%216415871534492907490
1476431902444242128114382012010321316764382370141211161501062424426840170102765821930727743705161347471113063628523.48%2823189.01%51338240055.75%1049207750.51%602102858.56%216415871534492907490
1582224805331236329-9341102503120123165-4241122302211113164-516423637561105094874725330880848783306387980614544105713.90%3388076.33%11095243644.95%1107268841.18%557129443.04%169812252374570892402
1582224805331236329-9341102503120123165-4241122302211113164-516423637561105094874725330880848783306387980614544105713.90%3388076.33%11095243644.95%1107268841.18%557129443.04%169812252374570892402
1682363404431301249524118150412114611630411819003101551332291301526827020116898926250847866895207657888214434307818.14%3726682.26%61497266856.11%1139213853.27%702125156.12%213915801884539924470
17722837034002652587361519020001381172136131801400127141-1466265490755150109837022680777736745183753381712713677019.07%3298474.47%51474227364.85%1036170160.91%715113463.05%199614851510455821437
1872184702230234374-14036132001020132172-403652701210102202-1004823441765100091706823930756786813310386767714862823813.48%3017774.42%1812200440.52%869231237.59%424122534.61%149910892073481770349
1971125301401203403-2003592400101107186-79363290130096217-12131203394597200797053238708008357423596101763214902323816.38%2786476.98%4799195240.93%1011268737.63%468122338.27%12288492281494763319
20333260220069177-10814211001003369-36191150210036108-72126913720600272317296230030835041518435250636941010.64%1102874.55%033388837.50%374114632.64%17952234.29%5133421112238361144
Total Regular Season88032543003644242128183130-3124371732080201017915051489164431522220163471213131641-32883528184967778567027115289568627210300910790778512277127961892416230422277018.24%370276979.23%36133912669050.17%115102579744.62%66081360048.59%211751544522096587798984866
Playoff
11221480000048399127500000282531073000002014628488613403012161951501821561664421293535412142310.75%1561590.38%134574546.31%36973250.41%14328250.71%583397508177277145
1340400000921-122020000049-520200000512-709132200042393030333012741526622627.27%24579.17%04311039.09%3611431.58%246636.36%8863109264219
14251510000004142-11376000002022-2128400000212013041751161405141852801641571506722022694371181210.17%1111388.29%136676647.78%43889149.16%15833147.73%623419694207339167
Total Playoff5129220000098102-4271413000005256-4241590000046460589817427217021324011360376346346124137267410443544111.58%2913388.66%2754162146.51%843173748.53%32567947.86%12958801312411659332