Whose comment section wins?
Pick any two fanbases and compare what their comment sections say, stat for stat.
Who is happier
Fan Score counts positive comments per 1,000, so a loud fanbase cannot buy its way up the board. Positive share tells the same story as a percentage of everything said.
Fan Score
Positive comments per 1,000 (higher wins)
Positive comments per 1,000 (higher wins)
Positive share
Share of all comments that are positive
Share of all comments that are positive
Who is harsher
Negativity, toxicity and explicit language, every one of them per 1,000 comments so the two sides stay comparable whatever their volume.
Negativity
Negative comments per 1,000 (lower wins)
Negative comments per 1,000 (lower wins)
Toxicity
Harm and identity-based abuse per 1,000 (lower wins)
Harm and identity-based abuse per 1,000 (lower wins)
Explicit language
Explicit-language comments per 1,000 (lower wins)
Explicit-language comments per 1,000 (lower wins)
Identity-based abuse, tag by tag
Tag applications per 1,000 comments
San Diego State left, UCLA right. Tag applications per 1,000 comments, on the same scale across every row. Reported as rates only: this block never picks a winner.
What they talk about
Three topic groups where neither direction is better, just louder. These rows describe a comment section instead of scoring it.
Betting talk
Sports-betting comments per 1,000
Sports-betting comments per 1,000
Team & front office talk
Team and front-office comments per 1,000: coaching, the athletic department, and gameday
Team and front-office comments per 1,000: coaching, the athletic department, and gameday
NIL & portal talk
NIL and Transfer Portal tag applications per 1,000, which may overlap
NIL and Transfer Portal tag applications per 1,000, which may overlap
Week by week, side by side
The same season read twice: weekly mood for both comment sections, the weeks the two teams actually met, and where each fanbase lands nationally on the seven topic groups.
Rivalry pulse
| Week of | San Diego State result | San Diego State positive share | San Diego State negative share | UCLA result | UCLA positive share | UCLA negative share |
|---|---|---|---|---|---|---|
| 2025-08-23 | W | 50.7% | 34.3% | – | 62.4% | 30.2% |
| 2025-08-30 | – | 54.5% | 36.4% | L | 22.3% | 69.5% |
| 2025-09-06 | L | 28.5% | 59.3% | L L | 22% | 69.5% |
| 2025-09-13 | – | 70% | 30% | – | 16.4% | 72.8% |
| 2025-09-20 | W | 78.3% | 12.7% | – | 45.3% | 44.2% |
| 2025-09-27 | W W | 66.8% | 24% | L | 26.7% | 61.5% |
| 2025-10-04 | – | 59% | 27.1% | W | 69.3% | 22.9% |
| 2025-10-11 | W | 76.2% | 11.9% | W | 73.6% | 16.9% |
| 2025-10-18 | – | 89.7% | 0% | W | 73% | 19.2% |
| 2025-10-25 | W | 70.8% | 21.7% | L | 30% | 57% |
| 2025-11-01 | W | 59.5% | 27.8% | – | 71.3% | 19.3% |
| 2025-11-08 | L | 25.1% | 62.3% | L | 42.2% | 46.6% |
| 2025-11-15 | W | 60.4% | 27.2% | L | 67.2% | 25.2% |
| 2025-11-22 | W L | 63.3% | 24.3% | L | 30.3% | 57.8% |
| 2025-11-29 | – | 27.7% | 55.9% | L | 38.1% | 52.8% |
| 2025-12-06 | – | 62.9% | 25% | – | 67.7% | 22.5% |
| 2025-12-13 | – | 80% | 20% | – | 55.5% | 36.5% |
| 2025-12-20 | – | 88.1% | 4.5% | – | 66.1% | 25.1% |
| 2025-12-27 | L | 59.9% | 32.7% | – | 58.4% | 32.1% |
| 2026-01-03 | – | 48.4% | 6.5% | – | 81.3% | 12.1% |
| 2026-01-10 | – | 71.4% | 14.3% | – | 74.4% | 5.1% |
| 2026-01-17 | – | 90.9% | 9.1% | – | 48.5% | 40.9% |
Fingerprint duel
Each fanbase's national percentile on the seven comment-topic groups, overlaid.
- San Diego State Harm: 53rd percentile of ranked FBS teams
- San Diego State Identity-Based Abuse: low volume, not ranked
- San Diego State Explicit Language: 64th percentile of ranked FBS teams
- San Diego State College Sports: 61st percentile of ranked FBS teams
- San Diego State Off-Field Storylines: 44th percentile of ranked FBS teams
- San Diego State Sports Betting: low volume, not ranked
- San Diego State Team & Front Office: 79th percentile of ranked FBS teams
- 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
The season, felt twice
Weekly positive share for both comment sections on one axis; hover shows the week's combined comment volume. San Diego State's positive share was higher in 13 of 22 shared weeks, UCLA's in 9.
| Week of | SDSU | UCLA | Comments |
|---|---|---|---|
| 2025-08-23 | 50.7% | 62.4% | 350 |
| 2025-08-30 | 54.5% | 22.3% | 2,033 |
| 2025-09-06 | 28.5% | 22% | 1,540 |
| 2025-09-13 | 70% | 16.4% | 2,167 |
| 2025-09-20 | 78.3% | 45.3% | 574 |
| 2025-09-27 | 66.8% | 26.7% | 1,309 |
| 2025-10-04 | 59% | 69.3% | 2,793 |
| 2025-10-11 | 76.2% | 73.6% | 1,575 |
| 2025-10-18 | 89.7% | 73% | 1,394 |
| 2025-10-25 | 70.8% | 30% | 1,205 |
| 2025-11-01 | 59.5% | 71.3% | 459 |
| 2025-11-08 | 25.1% | 42.2% | 1,354 |
| 2025-11-15 | 60.4% | 67.2% | 2,105 |
| 2025-11-22 | 63.3% | 30.3% | 1,342 |
| 2025-11-29 | 27.7% | 38.1% | 1,159 |
| 2025-12-06 | 62.9% | 67.7% | 1,812 |
| 2025-12-13 | 80% | 55.5% | 221 |
| 2025-12-20 | 88.1% | 66.1% | 445 |
| 2025-12-27 | 59.9% | 58.4% | 462 |
| 2026-01-03 | 48.4% | 81.3% | 245 |
| 2026-01-10 | 71.4% | 74.4% | 60 |
| 2026-01-17 | 90.9% | 48.5% | 77 |