Houston

Cougars · 10–3 in 2025–26

Fan Score
683.2
positive per 1,000 comments
Comments analyzed
17,558
2025–26 season
Positive share
68.3%
of all fan comments
Toxicity
29.8
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 Houston fans raise more than anyone else.

Comment-section fingerprint

Stands out Identity-Based Abuse: 20th percentile · College Sports: 31st percentile · Off-Field Storylines: 33rd percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Houston Harm: 48th percentile of ranked FBS teams
  • Houston Identity-Based Abuse: 20th percentile of ranked FBS teams
  • Houston Explicit Language: 54th percentile of ranked FBS teams
  • Houston College Sports: 31st percentile of ranked FBS teams
  • Houston Off-Field Storylines: 33rd percentile of ranked FBS teams
  • Houston Sports Betting: 40th percentile of ranked FBS teams
  • Houston Team & Front Office: 39th percentile of ranked FBS teams

Sentiment

Positive68.3%11,996
Neutral8.2%1,439
Negative22.1%3,876
Mixed1.4%247

Signature subtags

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

Team & Front Office
2.7×

Mentioned Crowd & Attendance at 2.7× the rate of the average classified fanbase.

26.3 per 1,000 comments
Team & Front Office
1.8×

Mentioned Athletic Department at 1.8× the rate of the average classified fanbase.

0.9 per 1,000 comments
Team & Front Office
1.8×

Mentioned Stadium Experience at 1.8× the rate of the average classified fanbase.

9 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: +80% · week of Dec 20Low: +1% · L 35–45 vs West Virginia, W 30–27 at UCFAug 28: W 27–0 vs SF AustinWSep 6: W 35–9 at RiceWSep 12: W 36–20 vs ColoradoWSep 26: W 27–24 (OT) at Oregon StateWOct 4: L 11–35 vs Texas TechLOct 11: W 39–17 at Oklahoma StateWOct 18: W 31–28 vs ArizonaWOct 25: W 24–16 at Arizona StateWNov 1: L 35–45 vs West VirginiaLNov 7: W 30–27 at UCFWNov 22: L 14–17 vs TCULNov 29: W 31–24 at BaylorWDec 27: W 38–35 vs LSUWAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+45%431139656W 27–0 vs SF Austin
2025-08-30+59%29561397No game
2025-09-06+66%58895744W 35–9 at Rice; W 36–20 vs Colorado
2025-09-13+59%536121708No game
2025-09-20+67%31648400W 27–24 (OT) at Oregon State
2025-09-27+31%1,0124881,710No game
2025-10-04+12%6054561,222L 11–35 vs Texas Tech
2025-10-11+70%52073643W 39–17 at Oklahoma State
2025-10-18+71%9761241,204W 31–28 vs Arizona
2025-10-25+79%1,2361071,431W 24–16 at Arizona State
2025-11-01+1%5315231,126L 35–45 vs West Virginia; W 30–27 at UCF
2025-11-08+55%586147799No game
2025-11-15+61%28459370No game
2025-11-22+4%343317720L 14–17 vs TCU
2025-11-29+72%66987809W 31–24 at Baylor
2025-12-06+56%51883775No game
2025-12-13+63%25043330No game
2025-12-20+80%42425498No game
2025-12-27+23%1,3608142,374W 38–35 vs LSU
2026-01-03+76%23921285No game
2026-01-10+73%15315189No game
2026-01-17+56%12430168No game
Fan mood fell 78 points the week they lost by 10 to West Virginia and beat UCF by 3.

Season trend

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

PositiveNegative
0%43%86%Aug 28: W 27–0 vs SF AustinWSep 6: W 35–9 at RiceWSep 12: W 36–20 vs ColoradoWSep 26: W 27–24 (OT) at Oregon StateWOct 4: L 11–35 vs Texas TechLOct 11: W 39–17 at Oklahoma StateWOct 18: W 31–28 vs ArizonaWOct 25: W 24–16 at Arizona StateWNov 1: L 35–45 vs West VirginiaLNov 7: W 30–27 at UCFWNov 22: L 14–17 vs TCULNov 29: W 31–24 at BaylorWDec 27: W 38–35 vs LSUWAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2365.7%21.2%656
2025-08-3074.3%15.4%397
2025-09-0679%12.8%744
2025-09-1375.7%17.1%708
2025-09-2079%12%400
2025-09-2759.2%28.5%1,710
2025-10-0449.5%37.3%1,222
2025-10-1180.9%11.4%643
2025-10-1881.1%10.3%1,204
2025-10-2586.4%7.5%1,431
2025-11-0147.2%46.4%1,126
2025-11-0873.3%18.4%799
2025-11-1576.8%15.9%370
2025-11-2247.6%44%720
2025-11-2982.7%10.8%809
2025-12-0666.8%10.7%775
2025-12-1375.8%13%330
2025-12-2085.1%5%498
2025-12-2757.3%34.3%2,374
2026-01-0383.9%7.4%285
2026-01-1081%7.9%189
2026-01-1773.8%17.9%168

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.

Harm25.1 per 1,000 · 441
Personal Attacks 410Harm Wish 9Group Hate 19Sexual Content 18Violent Threat 2
Identity-Based Abuse4.7 per 1,000 · 82
Physical Appearance 18Age 11Disability 28Race 8Gender 16LGBTQIA+ 5Religion 1
Explicit Language22.7 per 1,000 · 399
Explicit Acronym 61Explicit Words 324Violent Language 16Explicit Emoji 11
College Sports12.5 per 1,000 · 219
Student Section 14Band 28Conference Realignment 19Recruiting 71Transfer Portal 48NIL 50
Off-Field Storylines23 per 1,000 · 403
Player Conduct 3Injuries 83Broadcast & Media 196Officiating 122Politics & Activism 2
Sports Betting2.8 per 1,000 · 50
Gambling 40Prop Bet 3Parlay 1Moneyline 6
Team & Front Office115.8 per 1,000 · 2,033
Crowd & Attendance 462Stadium Experience 158Coaching 718Opponent Respect 125Opponent Hostility 578Front Office 20Athletic Department 16

Subtag counts are tag applications, which may overlap.

The Swear Jar

54th percentile
399 explicit comments22.7 per 1,000
  • Explicit Words324
  • Explicit Acronym61
  • Violent Language16
  • Explicit Emoji11

Tag applications, which may overlap.

Explicit language shows up in 22.7 of every 1,000 comments on this page: 47th of 100 nationally, the 54th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 29.871 per 1,000 · L 35–45 vs West Virginia · W 30–27 at UCFWWWWLWWWLWLWW2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2333.5W 27–0 vs SF Austin
2025-08-3027.7No game
2025-09-0614.8W 35–9 at Rice; W 36–20 vs Colorado
2025-09-1324No game
2025-09-207.5W 27–24 (OT) at Oregon State
2025-09-2746.2No game
2025-10-0453.2L 11–35 vs Texas Tech
2025-10-1112.4W 39–17 at Oklahoma State
2025-10-183.3W 31–28 vs Arizona
2025-10-257W 24–16 at Arizona State
2025-11-0171L 35–45 vs West Virginia; W 30–27 at UCF
2025-11-0818.8No game
2025-11-158.1No game
2025-11-2229.2L 14–17 vs TCU
2025-11-2911.1W 31–24 at Baylor
2025-12-0611.6No game
2025-12-1327.3No game
2025-12-202No game
2025-12-2759.4W 38–35 vs LSU
2026-01-037No game
2026-01-105.3No game
2026-01-1711.9No game
Harm and identity-based abuse peaked at 71 per 1,000 comments (L 35–45 vs West Virginia · W 30–27 at UCF) against a season average of 29.8 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks410
  • Group Hate19
  • Sexual Content18
  • Harm Wish9
  • Violent Threat2
Identity-Based Abuse
  • Disability28
  • Physical Appearance18
  • Gender16
  • Age11
  • Race8
  • LGBTQIA+5
  • Religion1

Tag applications, which may overlap.

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

From the comment section

He was a special player and that was a special time for Cougar Football.

positiveFacebook

Wow! I am impressed. #6 got up, handed the ball to an official and went to the bench. No dance, team meeting in the end zone or any type of celebration. Fantastic.

positiveFacebook

WV is 2-6 not 6-2. The curse of WV again!!

negativeOpponent HostilityFacebook

Horrific offense and good defense. Tbid offense has been so conservative.

mixedCoachingFacebook
Behind the numbers

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