Wisconsin

Badgers · 4–8 in 2025–26

Fan Score
281.5
positive per 1,000 comments
Comments analyzed
48,811
2025–26 season
Positive share
28.2%
of all fan comments
Toxicity
54.3
harm + identity abuse per 1,000 · lower is better
Part one

Who they are

The shape of one comment section: the mix of what gets talked about, how it splits by sentiment, and the subjects Wisconsin fans raise more than anyone else.

Comment-section fingerprint

Stands out Sports Betting: 100th percentile · Team & Front Office: 96th percentile · College Sports: 95th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Wisconsin Harm: 87th percentile of ranked FBS teams
  • Wisconsin Identity-Based Abuse: 56th percentile of ranked FBS teams
  • Wisconsin Explicit Language: 88th percentile of ranked FBS teams
  • Wisconsin College Sports: 95th percentile of ranked FBS teams
  • Wisconsin Off-Field Storylines: 43rd percentile of ranked FBS teams
  • Wisconsin Sports Betting: 100th percentile of ranked FBS teams
  • Wisconsin Team & Front Office: 96th percentile of ranked FBS teams

Sentiment

Positive28.2%13,741
Neutral11%5,368
Negative59.1%28,849
Mixed1.7%853

Signature subtags

What Wisconsin fans bring up more than anyone, vs all 138 FBS fanbases.

Sports Betting
9×

Mentioned Prop Bet at 9× the rate of the average classified fanbase.

2.7 per 1,000 comments
Team & Front Office
4.1×

Mentioned Front Office at 4.1× the rate of the average classified fanbase.

14 per 1,000 comments
Sports Betting
3.9×

Mentioned Gambling at 3.9× the rate of the average classified fanbase.

10.6 per 1,000 comments

Subtag counts are tag applications, which may overlap.

Part two

How the season felt

Week by week, with every game marked. The comment section keeps its own scoreboard, and it does not always agree with the one on the field.

Season heartbeat

Net comment mood by week (green above the baseline, red below) with every game marked on it. Click a game for that week’s story.

+70%+35%−35%−70%0%Peak: +38% · week of Dec 13Low: −63% · L 10–27 vs MarylandAug 28: W 17–0 vs Miami (Ohio)WSep 6: W 42–10 vs Middle TennesseeWSep 13: L 14–38 at AlabamaLSep 20: L 10–27 vs MarylandLOct 4: L 10–24 at MichiganLOct 11: L 0–37 vs IowaLOct 18: L 0–34 vs Ohio StateLOct 25: L 7–21 at OregonLNov 8: W 13–10 vs WashingtonWNov 15: L 7–31 at IndianaLNov 22: W 27–10 vs IllinoisWNov 29: L 7–17 at MinnesotaLAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23−18%8261,2532,407W 17–0 vs Miami (Ohio)
2025-08-30−12%284371741No game
2025-09-06−24%7891,3672,433W 42–10 vs Middle Tennessee
2025-09-13−48%7862,7584,086L 14–38 at Alabama
2025-09-20−63%6953,9225,086L 10–27 vs Maryland
2025-09-27−53%2098331,187No game
2025-10-04−38%6491,6672,695L 10–24 at Michigan
2025-10-11−55%1,2025,2097,278L 0–37 vs Iowa
2025-10-18−49%9783,4595,114L 0–34 vs Ohio State
2025-10-25−31%7101,5122,608L 7–21 at Oregon
2025-11-01−38%2877661,263No game
2025-11-08+21%2,4501,5114,442W 13–10 vs Washington
2025-11-15−12%8651,1492,351L 7–31 at Indiana
2025-11-22+30%1,1995882,009W 27–10 vs Illinois
2025-11-29−30%6731,4752,633L 7–17 at Minnesota
2025-12-06+14%160117306No game
2025-12-13+38%291148No game
2025-12-20−4%4246104No game
2025-12-27+28%8544147No game
2026-01-03−1%5435621,309No game
2026-01-10+13%9671196No game
2026-01-17+7%184158368No game
Mood climbed for 2 straight weeks after the week they lost by 10 at Minnesota, gaining 68 points.

Season trend

Weekly share of positive and negative comments with every game marked: click a dot for that week's story.

PositiveNegative
0%39%77%Aug 28: W 17–0 vs Miami (Ohio)WSep 6: W 42–10 vs Middle TennesseeWSep 13: L 14–38 at AlabamaLSep 20: L 10–27 vs MarylandLOct 4: L 10–24 at MichiganLOct 11: L 0–37 vs IowaLOct 18: L 0–34 vs Ohio StateLOct 25: L 7–21 at OregonLNov 8: W 13–10 vs WashingtonWNov 15: L 7–31 at IndianaLNov 22: W 27–10 vs IllinoisWNov 29: L 7–17 at MinnesotaLAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2334.3%52.1%2,407
2025-08-3038.3%50.1%741
2025-09-0632.4%56.2%2,433
2025-09-1319.2%67.5%4,086
2025-09-2013.7%77.1%5,086
2025-09-2717.6%70.2%1,187
2025-10-0424.1%61.9%2,695
2025-10-1116.5%71.6%7,278
2025-10-1819.1%67.6%5,114
2025-10-2527.2%58%2,608
2025-11-0122.7%60.6%1,263
2025-11-0855.2%34%4,442
2025-11-1536.8%48.9%2,351
2025-11-2259.7%29.3%2,009
2025-11-2925.6%56%2,633
2025-12-0652.3%38.2%306
2025-12-1360.4%22.9%48
2025-12-2040.4%44.2%104
2025-12-2757.8%29.9%147
2026-01-0341.5%42.9%1,309
2026-01-1049%36.2%196
2026-01-1750%42.9%368

Season timeline

Won the game, lost the comments 2 times this season; open a game below for that night’s story.

Part three

What they actually said

The language, the moderation load, and the comments themselves, exactly as they were posted.

Comment insights

Classified comments per 1,000, by system-tag group.

Harm47.2 per 1,000 · 2,306
Group Hate 71Harm Wish 27Personal Attacks 2,204Sexual Content 40Violent Threat 5
Identity-Based Abuse7.1 per 1,000 · 346
Disability 95Age 51Gender 69LGBTQIA+ 15Physical Appearance 97Race 24Religion 9
Explicit Language40.3 per 1,000 · 1,966
Explicit Acronym 264Explicit Emoji 34Explicit Words 1,675Violent Language 18
College Sports35.8 per 1,000 · 1,749
Band 101Conference Realignment 56NIL 493Recruiting 666Student Section 119Transfer Portal 458
Off-Field Storylines28.1 per 1,000 · 1,370
Broadcast & Media 615Injuries 470Officiating 255Player Conduct 18Politics & Activism 22
Sports Betting13.6 per 1,000 · 666
Gambling 516Moneyline 22Prop Bet 130
Team & Front Office222.7 per 1,000 · 10,872
Coaching 8,945Crowd & Attendance 708Front Office 685Opponent Hostility 552Opponent Respect 102Athletic Department 71Stadium Experience 208

Subtag counts are tag applications, which may overlap.

The Swear Jar

88th percentile
1,966 explicit comments40.3 per 1,000
  • Explicit Words1,675
  • Explicit Acronym264
  • Explicit Emoji34
  • Violent Language18

Tag applications, which may overlap.

Explicit language shows up in 40.3 of every 1,000 comments on this page: 13th of 100 nationally, the 88th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 54.3144.2 per 1,000 · no game that week (week of Dec 20)WWLLLLLLWLWL2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2361.1W 17–0 vs Miami (Ohio)
2025-08-3087.7No game
2025-09-0673.6W 42–10 vs Middle Tennessee
2025-09-1361.4L 14–38 at Alabama
2025-09-2051.3L 10–27 vs Maryland
2025-09-2764No game
2025-10-0449L 10–24 at Michigan
2025-10-1140L 0–37 vs Iowa
2025-10-1847.7L 0–34 vs Ohio State
2025-10-2543.3L 7–21 at Oregon
2025-11-0145.1No game
2025-11-0858.8W 13–10 vs Washington
2025-11-1549.8L 7–31 at Indiana
2025-11-2262.2W 27–10 vs Illinois
2025-11-2961.1L 7–17 at Minnesota
2025-12-0629.4No game
2025-12-1362.5No game
2025-12-20144.2No game
2025-12-2727.2No game
2026-01-0377.2No game
2026-01-1066.3No game
2026-01-1773.4No game
Harm and identity-based abuse peaked at 144.2 per 1,000 comments (no game that week (week of Dec 20)) against a season average of 54.3 per 1,000.

Season subtag split

Season totals of the classifications Sence applied to comments on this page.

Harm
  • Personal Attacks2,204
  • Group Hate71
  • Sexual Content40
  • Harm Wish27
  • Violent Threat5
Identity-Based Abuse
  • Physical Appearance97
  • Disability95
  • Gender69
  • Age51
  • Race24
  • LGBTQIA+15
  • Religion9

Tag applications, which may overlap.

Sence flags these in real time so page owners can act before fans see them.

From the comment section

GO BADGERS! God bless you

positiveFacebook

We are so excited for you Ethan! Congratulations and best of luck! 🏈❤️🤍

positiveRecruitingFacebook

We gave up on Leonard for this?

negativeFacebook

I mean, GO BADGERS! But we all know whats going to happen.... AND I have Dante Moore for 3 Tuds sooo 🤷‍♂️

mixedFacebook
Behind the numbers

Sence read 2,498,712 college-football comments to build this site. It can read yours.