TCU

Horned Frogs · 9–4 in 2025–26

Fan Score
719.8
positive per 1,000 comments
Comments analyzed
9,897
2025–26 season
Positive share
72%
of all fan comments
Toxicity
13.4
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 TCU fans raise more than anyone else.

Comment-section fingerprint

Stands out Explicit Language: 1st percentile · College Sports: 5th percentile · Team & Front Office: 7th percentileLow volume (not ranked), omitted from the shape: Sports Betting.Percentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • TCU Harm: 14th percentile of ranked FBS teams
  • TCU Identity-Based Abuse: 9th percentile of ranked FBS teams
  • TCU Explicit Language: 1st percentile of ranked FBS teams
  • TCU College Sports: 5th percentile of ranked FBS teams
  • TCU Off-Field Storylines: 60th percentile of ranked FBS teams
  • TCU Sports Betting: low volume, not ranked
  • TCU Team & Front Office: 7th percentile of ranked FBS teams

Sentiment

Positive72%7,124
Neutral9.9%977
Negative16.8%1,658
Mixed1.4%138

Signature subtags

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

Off-Field Storylines
1.4×

Mentioned Broadcast & Media at 1.4× the rate of the average classified fanbase.

15.9 per 1,000 comments
Team & Front Office
0.9×

Mentioned Opponent Respect at 0.9× the rate of the average classified fanbase.

6 per 1,000 comments
Off-Field Storylines
0.8×

Mentioned Officiating at 0.8× the rate of the average classified fanbase.

10 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.

+90%+45%−45%−90%0%Peak: +85% · week of Jan 10Low: −19% · L 17–20 vs Iowa StateSep 1: W 48–14 at North CarolinaWSep 13: W 42–21 vs Abilene ChrstnWSep 20: W 35–24 vs SMUWSep 26: L 24–27 at Arizona StateLOct 4: W 35–21 vs ColoradoWOct 11: L 28–41 at Kansas StateLOct 18: W 42–36 vs BaylorWOct 25: W 23–17 at West VirginiaWNov 8: L 17–20 vs Iowa StateLNov 15: L 13–44 at BYULNov 22: W 17–14 at HoustonWNov 29: W 45–23 vs CincinnatiWDec 30: W 30–27 (OT) vs USCWAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+72%43553No game
2025-08-30+56%1,1992231,738W 48–14 at North Carolina
2025-09-06+42%13537232No game
2025-09-13+71%37345459W 42–21 vs Abilene Chrstn
2025-09-20+68%39656503W 35–24 vs SMU; L 24–27 at Arizona State
2025-09-27−5%6168145No game
2025-10-04+61%31863417W 35–21 vs Colorado
2025-10-11+15%10071195L 28–41 at Kansas State
2025-10-18+50%24768361W 42–36 vs Baylor
2025-10-25+52%19551279W 23–17 at West Virginia
2025-11-01+62%11920160No game
2025-11-08−19%152233426L 17–20 vs Iowa State
2025-11-15+10%152122291L 13–44 at BYU
2025-11-22+42%480176722W 17–14 at Houston
2025-11-29+69%28941358W 45–23 vs Cincinnati
2025-12-06+51%26666391No game
2025-12-13+69%14418182No game
2025-12-20+85%1248137No game
2025-12-27+74%1,9102152,302W 30–27 (OT) vs USC
2026-01-03+72%27136326No game
2026-01-10+85%85396No game
2026-01-17+26%6533124No game
Mood climbed for 3 straight weeks after the week they lost by 3 to Iowa State, gaining 88 points.

Season trend

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

PositiveNegative
0%45%91%Sep 1: W 48–14 at North CarolinaWSep 13: W 42–21 vs Abilene ChrstnWSep 20: W 35–24 vs SMUWSep 26: L 24–27 at Arizona StateLOct 4: W 35–21 vs ColoradoWOct 11: L 28–41 at Kansas StateLOct 18: W 42–36 vs BaylorWOct 25: W 23–17 at West VirginiaWNov 8: L 17–20 vs Iowa StateLNov 15: L 13–44 at BYULNov 22: W 17–14 at HoustonWNov 29: W 45–23 vs CincinnatiWDec 30: W 30–27 (OT) vs USCWAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2381.1%9.4%53
2025-08-3069%12.8%1,738
2025-09-0658.2%15.9%232
2025-09-1381.3%9.8%459
2025-09-2078.7%11.1%503
2025-09-2742.1%46.9%145
2025-10-0476.3%15.1%417
2025-10-1151.3%36.4%195
2025-10-1868.4%18.8%361
2025-10-2569.9%18.3%279
2025-11-0174.4%12.5%160
2025-11-0835.7%54.7%426
2025-11-1552.2%41.9%291
2025-11-2266.5%24.4%722
2025-11-2980.7%11.5%358
2025-12-0668%16.9%391
2025-12-1379.1%9.9%182
2025-12-2090.5%5.8%137
2025-12-2783%9.3%2,302
2026-01-0383.1%11%326
2026-01-1088.5%3.1%96
2026-01-1752.4%26.6%124

Season timeline

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.

Harm10.3 per 1,000 · 102
Personal Attacks 90Group Hate 9Harm Wish 3Sexual Content 3
Identity-Based Abuse3.1 per 1,000 · 31
Gender 5LGBTQIA+ 3Religion 14Race 3Physical Appearance 6Age 1
Explicit Language2.6 per 1,000 · 26
Explicit Acronym 19Explicit Words 5Explicit Emoji 2
College Sports7.8 per 1,000 · 77
Recruiting 26Band 13Transfer Portal 20Conference Realignment 9NIL 10Student Section 3
Off-Field Storylines30.5 per 1,000 · 302
Broadcast & Media 157Officiating 99Injuries 37Politics & Activism 9Player Conduct 4
Sports Betting1.1 per 1,000 · 11
Parlay 2Gambling 6Prop Bet 3
Team & Front Office74.5 per 1,000 · 737
Athletic Department 2Opponent Hostility 102Coaching 494Opponent Respect 59Crowd & Attendance 53Stadium Experience 39Front Office 2

Subtag counts are tag applications, which may overlap.

The Swear Jar

1st percentile
26 explicit comments2.6 per 1,000
  • Explicit Acronym19
  • Explicit Words5
  • Explicit Emoji2

Tag applications, which may overlap.

Explicit language shows up in 2.6 of every 1,000 comments on this page: 100th of 100 nationally, the 1st percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 13.427.6 per 1,000 · no game that week (week of Sep 27)WWWLWLWWLLWWW2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-230No game
2025-08-3023.6W 48–14 at North Carolina
2025-09-068.6No game
2025-09-1310.9W 42–21 vs Abilene Chrstn
2025-09-2017.9W 35–24 vs SMU; L 24–27 at Arizona State
2025-09-2727.6No game
2025-10-042.4W 35–21 vs Colorado
2025-10-115.1L 28–41 at Kansas State
2025-10-1811.1W 42–36 vs Baylor
2025-10-250W 23–17 at West Virginia
2025-11-010No game
2025-11-089.4L 17–20 vs Iowa State
2025-11-1520.6L 13–44 at BYU
2025-11-2222.2W 17–14 at Houston
2025-11-2911.2W 45–23 vs Cincinnati
2025-12-0615.3No game
2025-12-1311No game
2025-12-200No game
2025-12-2710W 30–27 (OT) vs USC
2026-01-039.2No game
2026-01-1010.4No game
2026-01-178.1No game
Harm and identity-based abuse peaked at 27.6 per 1,000 comments (no game that week (week of Sep 27)) against a season average of 13.4 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks90
  • Group Hate9
  • Harm Wish3
  • Sexual Content3
Identity-Based Abuse
  • Religion14
  • Physical Appearance6
  • Gender5
  • LGBTQIA+3
  • Race3
  • Age1

Tag applications, which may overlap.

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

From the comment section

Tee it up! Beat the Heels!!

positiveFacebook

Mad Max! The heart of a champion.

positiveFacebook

Also why is Hoover throwing with a glove

negativeFacebook

Glad we held on to win but felt our guys took nap during delay and Baylor game planned. We have so much potential but drop ball too much in our games.

mixedFacebook
Behind the numbers

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