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
Miami left, Pittsburgh 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 | Miami result | Miami positive share | Miami negative share | Pittsburgh result | Pittsburgh positive share | Pittsburgh negative share |
|---|---|---|---|---|---|---|
| 2025-08-23 | – | 68.9% | 19.8% | – | 60.7% | 16% |
| 2025-08-30 | W | 61.5% | 25.3% | W | 56.8% | 31.9% |
| 2025-09-06 | W | 61.1% | 26.8% | W | 61.3% | 27.5% |
| 2025-09-13 | W | 61.2% | 21.9% | L | 26.6% | 64.7% |
| 2025-09-20 | W | 51.7% | 36.7% | – | 55.2% | 35.1% |
| 2025-09-27 | – | 66.1% | 18.8% | L | 20.9% | 69.4% |
| 2025-10-04 | W | 57.4% | 18.6% | W | 70.7% | 16% |
| 2025-10-11 | L | 49.6% | 36.5% | W | 72.7% | 19.1% |
| 2025-10-18 | – | 21.5% | 68% | W | 68% | 20.5% |
| 2025-10-25 | W | 40.6% | 49.6% | W | 74.3% | 15.6% |
| 2025-11-01 | L | 15.5% | 77.9% | W | 65.1% | 18.7% |
| 2025-11-08 | W | 44.8% | 45.1% | – | 57% | 20.1% |
| 2025-11-15 | W | 64.1% | 24.3% | L | 50% | 38% |
| 2025-11-22 | W | 53.8% | 35.6% | W | 56.2% | 30.7% |
| 2025-11-29 | W | 67.3% | 24.2% | L | 55.2% | 35.5% |
| 2025-12-06 | – | 62.6% | 29.4% | – | 43% | 43% |
| 2025-12-13 | – | 59.4% | 28.5% | – | 55.9% | 29.9% |
| 2025-12-20 | W | 55.3% | 37.4% | – | 65.6% | 20.2% |
| 2025-12-27 | W | 68.2% | 23.8% | L | 26.2% | 63.8% |
| 2026-01-03 | W | 60.3% | 30% | – | 32.8% | 53.7% |
| 2026-01-10 | – | 60% | 28.6% | – | 37.5% | 44.2% |
| 2026-01-17 | L | 54.1% | 35.7% | – | 37.8% | 53.7% |
“Not feeling good about this game. Not because we aren’t much more talented than Pittsburgh, but because Mario’s coaching style has a way of neutralizing our own talent.”
“Go Canes. In Mario We trust.”
“Thankful that West Virginia beat you”
“Shaping up well, Miami doesn’t do to good coming to Pittsburgh to play in the cold”
Fingerprint duel
Each fanbase's national percentile on the seven comment-topic groups, overlaid.
- Miami Harm: 75th percentile of ranked FBS teams
- Miami Identity-Based Abuse: 74th percentile of ranked FBS teams
- Miami Explicit Language: 99th percentile of ranked FBS teams
- Miami College Sports: 4th percentile of ranked FBS teams
- Miami Off-Field Storylines: 91st percentile of ranked FBS teams
- Miami Sports Betting: 87th percentile of ranked FBS teams
- Miami Team & Front Office: 53rd percentile of ranked FBS teams
- Pittsburgh Harm: 71st percentile of ranked FBS teams
- Pittsburgh Identity-Based Abuse: 40th percentile of ranked FBS teams
- Pittsburgh Explicit Language: 33rd percentile of ranked FBS teams
- Pittsburgh College Sports: 43rd percentile of ranked FBS teams
- Pittsburgh Off-Field Storylines: 58th percentile of ranked FBS teams
- Pittsburgh Sports Betting: 44th percentile of ranked FBS teams
- Pittsburgh Team & Front Office: 51st 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. Miami's positive share was higher in 12 of 22 shared weeks, Pittsburgh's in 10.
| Week of | MIA | PITT | Comments |
|---|---|---|---|
| 2025-08-23 | 68.9% | 60.7% | 798 |
| 2025-08-30 | 61.5% | 56.8% | 6,105 |
| 2025-09-06 | 61.1% | 61.3% | 2,113 |
| 2025-09-13 | 61.2% | 26.6% | 3,267 |
| 2025-09-20 | 51.7% | 55.2% | 2,916 |
| 2025-09-27 | 66.1% | 20.9% | 1,472 |
| 2025-10-04 | 57.4% | 70.7% | 4,092 |
| 2025-10-11 | 49.6% | 72.7% | 1,687 |
| 2025-10-18 | 21.5% | 68% | 3,263 |
| 2025-10-25 | 40.6% | 74.3% | 2,995 |
| 2025-11-01 | 15.5% | 65.1% | 4,666 |
| 2025-11-08 | 44.8% | 57% | 3,470 |
| 2025-11-15 | 64.1% | 50% | 3,957 |
| 2025-11-22 | 53.8% | 56.2% | 4,577 |
| 2025-11-29 | 67.3% | 55.2% | 3,627 |
| 2025-12-06 | 62.6% | 43% | 3,435 |
| 2025-12-13 | 59.4% | 55.9% | 2,984 |
| 2025-12-20 | 55.3% | 65.6% | 4,380 |
| 2025-12-27 | 68.2% | 26.2% | 8,077 |
| 2026-01-03 | 60.3% | 32.8% | 6,889 |
| 2026-01-10 | 60% | 37.5% | 3,326 |
| 2026-01-17 | 54.1% | 37.8% | 9,383 |