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
Pittsburgh left, West Virginia 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 | Pittsburgh result | Pittsburgh positive share | Pittsburgh negative share | West Virginia result | West Virginia positive share | West Virginia negative share |
|---|---|---|---|---|---|---|
| 2025-08-23 | – | 60.7% | 16% | – | 53.5% | 28% |
| 2025-08-30 | W | 56.8% | 31.9% | W | 55.9% | 30.4% |
| 2025-09-06 | W | 61.3% | 27.5% | L | 22% | 66.7% |
| 2025-09-13 | L | 26.6% | 64.7% | W | 67.3% | 21.1% |
| 2025-09-20 | – | 55.2% | 35.1% | L | 33.8% | 55.8% |
| 2025-09-27 | L | 20.9% | 69.4% | L L | 34.5% | 55.2% |
| 2025-10-04 | W | 70.7% | 16% | – | 36% | 52.8% |
| 2025-10-11 | W | 72.7% | 19.1% | – | 57.5% | 27.6% |
| 2025-10-18 | W | 68% | 20.5% | L | 27.6% | 61.3% |
| 2025-10-25 | W | 74.3% | 15.6% | L | 50.1% | 34.9% |
| 2025-11-01 | W | 65.1% | 18.7% | W | 78.3% | 14.2% |
| 2025-11-08 | – | 57% | 20.1% | W | 79.3% | 11.3% |
| 2025-11-15 | L | 50% | 38% | L | 49.9% | 40.9% |
| 2025-11-22 | W | 56.2% | 30.7% | – | 71.6% | 11.8% |
| 2025-11-29 | L | 55.2% | 35.5% | L | 53.8% | 37.2% |
| 2025-12-06 | – | 43% | 43% | – | 70% | 18.8% |
| 2025-12-13 | – | 55.9% | 29.9% | – | 86.1% | 5.6% |
| 2025-12-20 | – | 65.6% | 20.2% | – | 93.2% | 2.3% |
| 2025-12-27 | L | 26.2% | 63.8% | – | 80.2% | 6.9% |
| 2026-01-03 | – | 32.8% | 53.7% | – | 76.7% | 9.9% |
| 2026-01-10 | – | 37.5% | 44.2% | – | 80.1% | 8.5% |
| 2026-01-17 | – | 37.8% | 53.7% | – | 55.8% | 29.2% |
“Cute that WVU types care enough to troll this thread. H2P. Living rent free”
“Mediocrity at Pitt as long as Duzzi and Capel are there. #FIRETHEMNOW”
“At least the band will be there”
“Now I know why you guys never go to Marshall.”
Fingerprint duel
Each fanbase's national percentile on the seven comment-topic groups, overlaid.
- 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
- West Virginia Harm: 72nd percentile of ranked FBS teams
- West Virginia Identity-Based Abuse: 30th percentile of ranked FBS teams
- West Virginia Explicit Language: 52nd percentile of ranked FBS teams
- West Virginia College Sports: 83rd percentile of ranked FBS teams
- West Virginia Off-Field Storylines: 68th percentile of ranked FBS teams
- West Virginia Sports Betting: 76th percentile of ranked FBS teams
- West Virginia Team & Front Office: 61st 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. Pittsburgh's positive share was higher in 10 of 22 shared weeks, West Virginia's in 12.
| Week of | PITT | WVU | Comments |
|---|---|---|---|
| 2025-08-23 | 60.7% | 53.5% | 1,532 |
| 2025-08-30 | 56.8% | 55.9% | 3,611 |
| 2025-09-06 | 61.3% | 22% | 5,394 |
| 2025-09-13 | 26.6% | 67.3% | 5,696 |
| 2025-09-20 | 55.2% | 33.8% | 2,429 |
| 2025-09-27 | 20.9% | 34.5% | 3,540 |
| 2025-10-04 | 70.7% | 36% | 1,560 |
| 2025-10-11 | 72.7% | 57.5% | 1,969 |
| 2025-10-18 | 68% | 27.6% | 2,475 |
| 2025-10-25 | 74.3% | 50.1% | 2,482 |
| 2025-11-01 | 65.1% | 78.3% | 4,141 |
| 2025-11-08 | 57% | 79.3% | 3,676 |
| 2025-11-15 | 50% | 49.9% | 3,799 |
| 2025-11-22 | 56.2% | 71.6% | 2,891 |
| 2025-11-29 | 55.2% | 53.8% | 3,875 |
| 2025-12-06 | 43% | 70% | 1,442 |
| 2025-12-13 | 55.9% | 86.1% | 1,895 |
| 2025-12-20 | 65.6% | 93.2% | 1,018 |
| 2025-12-27 | 26.2% | 80.2% | 2,301 |
| 2026-01-03 | 32.8% | 76.7% | 588 |
| 2026-01-10 | 37.5% | 80.1% | 906 |
| 2026-01-17 | 37.8% | 55.8% | 561 |