USC

Trojans · 9–4 in 2025–26

Fan Score
511.6
positive per 1,000 comments
Comments analyzed
40,287
2025–26 season
Positive share
51.2%
of all fan comments
Toxicity
51.8
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 USC fans raise more than anyone else.

Comment-section fingerprint

Stands out Harm: 81st percentile · College Sports: 78th percentile · Identity-Based Abuse: 76th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • USC Harm: 81st percentile of ranked FBS teams
  • USC Identity-Based Abuse: 76th percentile of ranked FBS teams
  • USC Explicit Language: 76th percentile of ranked FBS teams
  • USC College Sports: 78th percentile of ranked FBS teams
  • USC Off-Field Storylines: 52nd percentile of ranked FBS teams
  • USC Sports Betting: 68th percentile of ranked FBS teams
  • USC Team & Front Office: 57th percentile of ranked FBS teams

Sentiment

Positive51.2%20,612
Neutral12.1%4,879
Negative34.8%14,036
Mixed1.9%760

Signature subtags

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

College Sports
3.2×

Mentioned Band at 3.2× the rate of the average classified fanbase.

4.1 per 1,000 comments
College Sports
2×

Mentioned Conference Realignment at 2× the rate of the average classified fanbase.

3.8 per 1,000 comments
Off-Field Storylines
1.8×

Mentioned Injuries at 1.8× the rate of the average classified fanbase.

11.1 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.

+60%+30%−30%−60%0%Peak: +53% · W 31–13 vs MichiganLow: −51% · L 27–30 (OT) vs TCUAug 30: W 73–13 vs Missouri StateWSep 6: W 59–20 vs Georgia SouthernWSep 13: W 33–17 at PurdueWSep 20: W 45–31 vs Michigan StateWSep 27: L 32–34 at IllinoisLOct 11: W 31–13 vs MichiganWOct 18: L 24–34 at Notre DameLNov 1: W 21–17 at NebraskaWNov 7: W 38–17 vs NorthwesternWNov 15: W 26–21 vs IowaWNov 22: L 27–42 at OregonLNov 29: W 29–10 vs UCLAWDec 30: L 27–30 (OT) vs TCULAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+32%348149623No game
2025-08-30+17%1,1067372,187W 73–13 vs Missouri State
2025-09-06−16%9611,4042,778W 59–20 vs Georgia Southern
2025-09-13+29%1,4687372,534W 33–17 at Purdue
2025-09-20+24%1,0615941,961W 45–31 vs Michigan State
2025-09-27−14%5487551,481L 32–34 at Illinois
2025-10-04+27%316159582No game
2025-10-11+53%2,3295463,343W 31–13 vs Michigan
2025-10-18+1%8958762,097L 24–34 at Notre Dame
2025-10-25+29%213105377No game
2025-11-01+35%9904101,650W 21–17 at Nebraska; W 38–17 vs Northwestern
2025-11-08+38%1,5155862,471No game
2025-11-15+36%1,8467543,049W 26–21 vs Iowa
2025-11-22+10%2,1531,7394,312L 27–42 at Oregon
2025-11-29+20%1,4559152,769W 29–10 vs UCLA
2025-12-06+1%6416291,518No game
2025-12-13+31%1,0174701,793No game
2025-12-20+51%34589504No game
2025-12-27−51%5531,9412,738L 27–30 (OT) vs TCU
2026-01-03+15%303209608No game
2026-01-10+39%458172736No game
2026-01-17+18%9160176No game
Fan mood fell 102 points the week they lost by 3 in OT to TCU.

Season trend

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

PositiveNegative
0%35%71%Aug 30: W 73–13 vs Missouri StateWSep 6: W 59–20 vs Georgia SouthernWSep 13: W 33–17 at PurdueWSep 20: W 45–31 vs Michigan StateWSep 27: L 32–34 at IllinoisLOct 11: W 31–13 vs MichiganWOct 18: L 24–34 at Notre DameLNov 1: W 21–17 at NebraskaWNov 7: W 38–17 vs NorthwesternWNov 15: W 26–21 vs IowaWNov 22: L 27–42 at OregonLNov 29: W 29–10 vs UCLAWDec 30: L 27–30 (OT) vs TCULAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2355.9%23.9%623
2025-08-3050.6%33.7%2,187
2025-09-0634.6%50.5%2,778
2025-09-1357.9%29.1%2,534
2025-09-2054.1%30.3%1,961
2025-09-2737%51%1,481
2025-10-0454.3%27.3%582
2025-10-1169.7%16.3%3,343
2025-10-1842.7%41.8%2,097
2025-10-2556.5%27.9%377
2025-11-0160%24.8%1,650
2025-11-0861.3%23.7%2,471
2025-11-1560.5%24.7%3,049
2025-11-2249.9%40.3%4,312
2025-11-2952.5%33%2,769
2025-12-0642.2%41.4%1,518
2025-12-1356.7%26.2%1,793
2025-12-2068.5%17.7%504
2025-12-2720.2%70.9%2,738
2026-01-0349.8%34.4%608
2026-01-1062.2%23.4%736
2026-01-1751.7%34.1%176

Season timeline

Won the game, lost the comments once 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.

Harm42.6 per 1,000 · 1,718
Group Hate 60Harm Wish 20Personal Attacks 1,621Sexual Content 57Violent Threat 9
Identity-Based Abuse9.2 per 1,000 · 369
Disability 49Age 62Gender 126LGBTQIA+ 26Physical Appearance 87Race 32Religion 3
Explicit Language34 per 1,000 · 1,371
Explicit Acronym 195Explicit Emoji 34Explicit Words 1,148Violent Language 26
College Sports23.3 per 1,000 · 938
Band 165Conference Realignment 154NIL 136Recruiting 325Student Section 32Transfer Portal 161
Off-Field Storylines29.6 per 1,000 · 1,193
Broadcast & Media 260Injuries 447Officiating 463Player Conduct 28Politics & Activism 9
Sports Betting3.8 per 1,000 · 155
Gambling 136Moneyline 5Parlay 5Prop Bet 9
Team & Front Office127.5 per 1,000 · 5,137
Coaching 2,495Crowd & Attendance 317Front Office 145Opponent Hostility 1,796Opponent Respect 297Athletic Department 7Stadium Experience 197

Subtag counts are tag applications, which may overlap.

The Swear Jar

76th percentile
1,371 explicit comments34 per 1,000
  • Explicit Words1,148
  • Explicit Acronym195
  • Explicit Emoji34
  • Violent Language26

Tag applications, which may overlap.

Explicit language shows up in 34 of every 1,000 comments on this page: 25th of 100 nationally, the 76th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 51.892.2 per 1,000 · W 59–20 vs Georgia SouthernWWWWLWLWWWLWL2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2328.9No game
2025-08-3043.4W 73–13 vs Missouri State
2025-09-0692.2W 59–20 vs Georgia Southern
2025-09-1334.7W 33–17 at Purdue
2025-09-2049.5W 45–31 vs Michigan State
2025-09-2748.6L 32–34 at Illinois
2025-10-0460.1No game
2025-10-1123.9W 31–13 vs Michigan
2025-10-1857.7L 24–34 at Notre Dame
2025-10-2526.5No game
2025-11-0140W 21–17 at Nebraska; W 38–17 vs Northwestern
2025-11-0847.3No game
2025-11-1536.7W 26–21 vs Iowa
2025-11-2252.6L 27–42 at Oregon
2025-11-2949.1W 29–10 vs UCLA
2025-12-0667.2No game
2025-12-1343.5No game
2025-12-2053.6No game
2025-12-2790.9L 27–30 (OT) vs TCU
2026-01-0362.5No game
2026-01-1067.9No game
2026-01-1773.9No game
Harm and identity-based abuse peaked at 92.2 per 1,000 comments (W 59–20 vs Georgia Southern) against a season average of 51.8 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks1,621
  • Group Hate60
  • Sexual Content57
  • Harm Wish20
  • Violent Threat9
Identity-Based Abuse
  • Gender126
  • Physical Appearance87
  • Age62
  • Disability49
  • Race32
  • LGBTQIA+26
  • 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

Happy birthday Jen!!! You’re doing a great job!!! Fight On! ❤️💛✌🏻✌🏻✌🏻

positiveFacebook

I love how he ran to mom!!!! This is awesome!!!!

positiveFacebook

Same story. Great offense but suspect defense

negativeFacebook

Ugly win. Give King Miller the MVP. Walk on that's been AMAZING. Give him a Scholarship!!

mixedFacebook
Behind the numbers

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