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
Baylor left, SMU 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 | Baylor result | Baylor positive share | Baylor negative share | SMU result | SMU positive share | SMU negative share |
|---|---|---|---|---|---|---|
| 2025-08-23 | L | 88.9% | 1.9% | – | 75.8% | 4.6% |
| 2025-08-30 | – | 42.9% | 44.8% | W | 69.7% | 13.4% |
| 2025-09-06 | W | 75.7% | 16.8% | L | 43.3% | 43.6% |
| 2025-09-13 | W | 73.1% | 15.9% | W | 69.4% | 18.8% |
| 2025-09-20 | L | 47.6% | 42.8% | L | 44.5% | 42.6% |
| 2025-09-27 | W | 73% | 21.6% | – | 80.5% | 5.1% |
| 2025-10-04 | W | 64.9% | 25.1% | W | 55.5% | 29.6% |
| 2025-10-11 | – | 91.7% | 6.3% | W | 70.3% | 17.9% |
| 2025-10-18 | L | 37.3% | 52.3% | W | 80.5% | 12.7% |
| 2025-10-25 | L | 30.8% | 58.8% | L | 48% | 37.4% |
| 2025-11-01 | W | 83.7% | 10.5% | W | 76.2% | 13.2% |
| 2025-11-08 | – | 76.1% | 15.8% | W | 84.8% | 6% |
| 2025-11-15 | L | 35.4% | 53.7% | – | 83.9% | 4% |
| 2025-11-22 | L | 40.2% | 53.2% | W | 84.3% | 7.4% |
| 2025-11-29 | L | 66.2% | 27.7% | L | 36.3% | 54.7% |
| 2025-12-06 | – | 70.8% | 23.1% | – | 67.2% | 14.9% |
| 2025-12-13 | – | 67% | 25% | – | 49.5% | 30.3% |
| 2025-12-20 | – | 78.8% | 15.4% | – | 87.8% | 4.1% |
| 2025-12-27 | – | 54.1% | 40.5% | W | 79.8% | 6.4% |
| 2026-01-03 | – | 50% | 50% | – | 84.4% | 8.2% |
| 2026-01-10 | – | 84.4% | 7.8% | – | 71.6% | 14.2% |
| 2026-01-17 | – | 77.5% | 14.2% | – | 57.9% | 5.6% |
“🫡 Couldn’t have chosen a better voice. #Back2Back”
“Does anyone know what side is Baylor going to be on at SMU field?”
“What's the seating capacity 20,000.”
“Tickets in hand, ready for the Boulevard and kick off. All 20,000+ of us.”
Fingerprint duel
Each fanbase's national percentile on the seven comment-topic groups, overlaid.
- Baylor Harm: 27th percentile of ranked FBS teams
- Baylor Identity-Based Abuse: 4th percentile of ranked FBS teams
- Baylor Explicit Language: low volume, not ranked
- Baylor College Sports: 44th percentile of ranked FBS teams
- Baylor Off-Field Storylines: 89th percentile of ranked FBS teams
- Baylor Sports Betting: low volume, not ranked
- Baylor Team & Front Office: 71st percentile of ranked FBS teams
- SMU Harm: 32nd percentile of ranked FBS teams
- SMU Identity-Based Abuse: 11th percentile of ranked FBS teams
- SMU Explicit Language: 35th percentile of ranked FBS teams
- SMU College Sports: 52nd percentile of ranked FBS teams
- SMU Off-Field Storylines: 35th percentile of ranked FBS teams
- SMU Sports Betting: low volume, not ranked
- SMU Team & Front Office: 11th 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. Baylor's positive share was higher in 12 of 22 shared weeks, SMU's in 10.
| Week of | BAY | SMU | Comments |
|---|---|---|---|
| 2025-08-23 | 88.9% | 75.8% | 315 |
| 2025-08-30 | 42.9% | 69.7% | 1,145 |
| 2025-09-06 | 75.7% | 43.3% | 1,585 |
| 2025-09-13 | 73.1% | 69.4% | 612 |
| 2025-09-20 | 47.6% | 44.5% | 779 |
| 2025-09-27 | 73% | 80.5% | 525 |
| 2025-10-04 | 64.9% | 55.5% | 1,007 |
| 2025-10-11 | 91.7% | 70.3% | 359 |
| 2025-10-18 | 37.3% | 80.5% | 1,053 |
| 2025-10-25 | 30.8% | 48% | 780 |
| 2025-11-01 | 83.7% | 76.2% | 1,589 |
| 2025-11-08 | 76.1% | 84.8% | 547 |
| 2025-11-15 | 35.4% | 83.9% | 584 |
| 2025-11-22 | 40.2% | 84.3% | 1,201 |
| 2025-11-29 | 66.2% | 36.3% | 1,617 |
| 2025-12-06 | 70.8% | 67.2% | 346 |
| 2025-12-13 | 67% | 49.5% | 197 |
| 2025-12-20 | 78.8% | 87.8% | 101 |
| 2025-12-27 | 54.1% | 79.8% | 399 |
| 2026-01-03 | 50% | 84.4% | 796 |
| 2026-01-10 | 84.4% | 71.6% | 225 |
| 2026-01-17 | 77.5% | 57.9% | 442 |