UCLA

Bruins · 3–9 in 2025–26

Fan Score
476.4
positive per 1,000 comments
Comments analyzed
20,831
2025–26 season
Positive share
47.6%
of all fan comments
Toxicity
54.1
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 UCLA fans raise more than anyone else.

Comment-section fingerprint

Stands out Sports Betting: 97th percentile · Team & Front Office: 93rd percentile · College Sports: 90th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • UCLA Harm: 84th percentile of ranked FBS teams
  • UCLA Identity-Based Abuse: 64th percentile of ranked FBS teams
  • UCLA Explicit Language: 85th percentile of ranked FBS teams
  • UCLA College Sports: 90th percentile of ranked FBS teams
  • UCLA Off-Field Storylines: 21st percentile of ranked FBS teams
  • UCLA Sports Betting: 97th percentile of ranked FBS teams
  • UCLA Team & Front Office: 93rd percentile of ranked FBS teams

Sentiment

Positive47.6%9,924
Neutral7%1,462
Negative43%8,955
Mixed2.4%490

Signature subtags

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

Team & Front Office
6.3×

Mentioned Front Office at 6.3× the rate of the average classified fanbase.

21.5 per 1,000 comments
College Sports
4.3×

Mentioned Conference Realignment at 4.3× the rate of the average classified fanbase.

8.2 per 1,000 comments
Explicit Language
3×

Mentioned Explicit Emoji at 3× the rate of the average classified fanbase.

2.4 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: +69% · week of Jan 10Low: −56% · week of Sep 13Aug 30: L 10–43 vs UtahLSep 6: L 23–30 at UNLVLSep 12: L 10–35 vs New MexicoLSep 27: L 14–17 at NorthwesternLOct 4: W 42–37 vs Penn StateWOct 11: W 38–13 at Michigan StateWOct 18: W 20–17 vs MarylandWOct 25: L 6–56 at IndianaLNov 8: L 21–28 vs NebraskaLNov 15: L 10–48 at Ohio StateLNov 22: L 14–48 vs WashingtonLNov 29: L 10–29 at USCLAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+32%9345149No game
2025-08-30−47%4421,3751,978L 10–43 vs Utah
2025-09-06−47%3129851,417L 23–30 at UNLV; L 10–35 vs New Mexico
2025-09-13−56%3541,5702,157No game
2025-09-20+1%160156353No game
2025-09-27−35%2976841,113L 14–17 at Northwestern
2025-10-04+46%1,7905922,583W 42–37 vs Penn State
2025-10-11+57%1,0662451,449W 38–13 at Michigan State
2025-10-18+54%9972621,365W 20–17 vs Maryland
2025-10-25−27%265503883L 6–56 at Indiana
2025-11-01+52%10729150No game
2025-11-08−4%357394845L 21–28 vs Nebraska
2025-11-15+42%1,2254591,822L 10–48 at Ohio State
2025-11-22−27%3045801,004L 14–48 vs Washington
2025-11-29−15%293406769L 10–29 at USC
2025-12-06+45%1,1493821,696No game
2025-12-13+19%11777211No game
2025-12-20+41%25095378No game
2025-12-27+26%11161190No game
2026-01-03+69%17426214No game
2026-01-10+69%29239No game
2026-01-17+8%322766No game
Mood climbed for 2 straight weeks after the week they lost by 3 at Northwestern, gaining 91 points.

Season trend

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

PositiveNegative
0%41%81%Aug 30: L 10–43 vs UtahLSep 6: L 23–30 at UNLVLSep 12: L 10–35 vs New MexicoLSep 27: L 14–17 at NorthwesternLOct 4: W 42–37 vs Penn StateWOct 11: W 38–13 at Michigan StateWOct 18: W 20–17 vs MarylandWOct 25: L 6–56 at IndianaLNov 8: L 21–28 vs NebraskaLNov 15: L 10–48 at Ohio StateLNov 22: L 14–48 vs WashingtonLNov 29: L 10–29 at USCLAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2362.4%30.2%149
2025-08-3022.3%69.5%1,978
2025-09-0622%69.5%1,417
2025-09-1316.4%72.8%2,157
2025-09-2045.3%44.2%353
2025-09-2726.7%61.5%1,113
2025-10-0469.3%22.9%2,583
2025-10-1173.6%16.9%1,449
2025-10-1873%19.2%1,365
2025-10-2530%57%883
2025-11-0171.3%19.3%150
2025-11-0842.2%46.6%845
2025-11-1567.2%25.2%1,822
2025-11-2230.3%57.8%1,004
2025-11-2938.1%52.8%769
2025-12-0667.7%22.5%1,696
2025-12-1355.5%36.5%211
2025-12-2066.1%25.1%378
2025-12-2758.4%32.1%190
2026-01-0381.3%12.1%214
2026-01-1074.4%5.1%39
2026-01-1748.5%40.9%66

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.

Harm46.1 per 1,000 · 961
Personal Attacks 905Harm Wish 11Group Hate 42Sexual Content 27Violent Threat 1
Identity-Based Abuse8 per 1,000 · 166
Religion 3Age 19Physical Appearance 51Gender 49Race 16LGBTQIA+ 8Disability 25
Explicit Language38.2 per 1,000 · 796
Explicit Acronym 135Explicit Emoji 51Explicit Words 656Violent Language 11
College Sports32.5 per 1,000 · 676
Student Section 31Band 20Conference Realignment 171NIL 162Recruiting 205Transfer Portal 122
Off-Field Storylines19.4 per 1,000 · 404
Broadcast & Media 170Officiating 126Injuries 80Player Conduct 10Politics & Activism 23
Sports Betting7.2 per 1,000 · 151
Prop Bet 10Gambling 133Parlay 2Moneyline 6
Team & Front Office206.6 per 1,000 · 4,303
Coaching 2,512Stadium Experience 195Crowd & Attendance 410Opponent Hostility 704Opponent Respect 242Front Office 447Athletic Department 17

Subtag counts are tag applications, which may overlap.

The Swear Jar

85th percentile
796 explicit comments38.2 per 1,000
  • Explicit Words656
  • Explicit Acronym135
  • Explicit Emoji51
  • Violent Language11

Tag applications, which may overlap.

Explicit language shows up in 38.2 of every 1,000 comments on this page: 16th of 100 nationally, the 85th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 54.186.1 per 1,000 · L 23–30 at UNLV · L 10–35 vs New MexicoLLLLWWWLLLLL2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2333.6No game
2025-08-3073.8L 10–43 vs Utah
2025-09-0686.1L 23–30 at UNLV; L 10–35 vs New Mexico
2025-09-1367.7No game
2025-09-2059.5No game
2025-09-2753L 14–17 at Northwestern
2025-10-0439.5W 42–37 vs Penn State
2025-10-1133.8W 38–13 at Michigan State
2025-10-1846.2W 20–17 vs Maryland
2025-10-2557.8L 6–56 at Indiana
2025-11-0133.3No game
2025-11-0858L 21–28 vs Nebraska
2025-11-1529.6L 10–48 at Ohio State
2025-11-2271.7L 14–48 vs Washington
2025-11-2983.2L 10–29 at USC
2025-12-0639.5No game
2025-12-1385.3No game
2025-12-2050.3No game
2025-12-2742.1No game
2026-01-0323.4No game
2026-01-100No game
2026-01-1730.3No game
Harm and identity-based abuse peaked at 86.1 per 1,000 comments (L 23–30 at UNLV · L 10–35 vs New Mexico) against a season average of 54.1 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks905
  • Group Hate42
  • Sexual Content27
  • Harm Wish11
  • Violent Threat1
Identity-Based Abuse
  • Physical Appearance51
  • Gender49
  • Disability25
  • Age19
  • Race16
  • LGBTQIA+8
  • Religion3

Tag applications, which may overlap.

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

From the comment section

Good job Deshaun….let’s go Bruins!!!

positiveCoachingFacebook

Beat the Birds in their own cage.go RAMS

positiveFacebook

That may have been our last chance to get a W this season. It gets tougher the rest of the season.

negativeFacebook

Last 8 minutes of the game was exciting. Before that, badly played by both teams.

mixedFacebook
Behind the numbers

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