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
Texas Tech left, UCF 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 | Texas Tech result | Texas Tech positive share | Texas Tech negative share | UCF result | UCF positive share | UCF negative share |
|---|---|---|---|---|---|---|
| 2025-08-23 | – | 69% | 14.2% | W | 58.7% | 26% |
| 2025-08-30 | W | 53.3% | 25.7% | – | 54.1% | 25.7% |
| 2025-09-06 | W | 68.2% | 17.4% | W | 77.1% | 13.2% |
| 2025-09-13 | W | 77.7% | 9.2% | – | 75.2% | 7.5% |
| 2025-09-20 | W | 73% | 17.4% | W | 91.7% | 3% |
| 2025-09-27 | – | 71.1% | 13.8% | L | 60.4% | 28.2% |
| 2025-10-04 | W | 57.6% | 31.5% | L | 35.4% | 53.5% |
| 2025-10-11 | W | 74.5% | 14.7% | L | 48.8% | 36.5% |
| 2025-10-18 | L | 46.7% | 42.7% | W | 86.6% | 5.2% |
| 2025-10-25 | W | 70.2% | 17.5% | – | 89.9% | 4.4% |
| 2025-11-01 | W | 68.8% | 16.4% | L L | 38.3% | 53.6% |
| 2025-11-08 | W | 73% | 16.5% | – | 44.1% | 45.4% |
| 2025-11-15 | W | 80.9% | 9% | L | 49.2% | 41% |
| 2025-11-22 | – | 80.9% | 9.1% | W | 70.5% | 16.1% |
| 2025-11-29 | W | 85.6% | 7.8% | L | 72.4% | 21.5% |
| 2025-12-06 | W | 85.3% | 8.1% | – | 50% | 42.3% |
| 2025-12-13 | – | 91.1% | 4.7% | – | 74.7% | 17.3% |
| 2025-12-20 | – | 79.1% | 13% | – | 82.4% | 9.8% |
| 2025-12-27 | L | 57.1% | 33.9% | – | 68.6% | 25.7% |
| 2026-01-03 | – | 77.3% | 17.2% | – | 78.4% | 12.7% |
| 2026-01-10 | – | 90.5% | 5.5% | – | 75.3% | 21.3% |
| 2026-01-17 | – | 78.2% | 12.2% | – | 68.8% | 19.1% |
“Tech would be unbeaten if the Ref hadn't missed the offside call on ASU in the next series. The ASU player was obviously lined up offside on that play.”
“I love blackouts at the Jones. WRECK EM!”
“Oh we need the 2017 team going into Texas. KZ needs to suit up”
“Game will be broadcast live on https://www.festival.sport-affclub.com/hsfootball.php”
Fingerprint duel
Each fanbase's national percentile on the seven comment-topic groups, overlaid.
- Texas Tech Harm: 23rd percentile of ranked FBS teams
- Texas Tech Identity-Based Abuse: 13th percentile of ranked FBS teams
- Texas Tech Explicit Language: 3rd percentile of ranked FBS teams
- Texas Tech College Sports: 16th percentile of ranked FBS teams
- Texas Tech Off-Field Storylines: 26th percentile of ranked FBS teams
- Texas Tech Sports Betting: 6th percentile of ranked FBS teams
- Texas Tech Team & Front Office: 5th percentile of ranked FBS teams
- UCF Harm: 44th percentile of ranked FBS teams
- UCF Identity-Based Abuse: low volume, not ranked
- UCF Explicit Language: 39th percentile of ranked FBS teams
- UCF College Sports: 72nd percentile of ranked FBS teams
- UCF Off-Field Storylines: 84th percentile of ranked FBS teams
- UCF Sports Betting: low volume, not ranked
- UCF Team & Front Office: 34th 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. Texas Tech's positive share was higher in 14 of 22 shared weeks, UCF's in 8.
| Week of | TTU | UCF | Comments |
|---|---|---|---|
| 2025-08-23 | 69% | 58.7% | 962 |
| 2025-08-30 | 53.3% | 54.1% | 1,304 |
| 2025-09-06 | 68.2% | 77.1% | 1,815 |
| 2025-09-13 | 77.7% | 75.2% | 1,673 |
| 2025-09-20 | 73% | 91.7% | 2,722 |
| 2025-09-27 | 71.1% | 60.4% | 1,248 |
| 2025-10-04 | 57.6% | 35.4% | 3,525 |
| 2025-10-11 | 74.5% | 48.8% | 2,587 |
| 2025-10-18 | 46.7% | 86.6% | 2,396 |
| 2025-10-25 | 70.2% | 89.9% | 1,957 |
| 2025-11-01 | 68.8% | 38.3% | 3,829 |
| 2025-11-08 | 73% | 44.1% | 3,877 |
| 2025-11-15 | 80.9% | 49.2% | 2,075 |
| 2025-11-22 | 80.9% | 70.5% | 2,002 |
| 2025-11-29 | 85.6% | 72.4% | 4,997 |
| 2025-12-06 | 85.3% | 50% | 8,315 |
| 2025-12-13 | 91.1% | 74.7% | 1,677 |
| 2025-12-20 | 79.1% | 82.4% | 1,152 |
| 2025-12-27 | 57.1% | 68.6% | 8,882 |
| 2026-01-03 | 77.3% | 78.4% | 1,253 |
| 2026-01-10 | 90.5% | 75.3% | 986 |
| 2026-01-17 | 78.2% | 68.8% | 1,081 |