Ohio

Bobcats · 9–4 in 2025–26

Fan Score
768.5
positive per 1,000 comments
Comments analyzed
5,814
2025–26 season
Positive share
76.8%
of all fan comments
Toxicity
13.4
harm + identity abuse per 1,000 · lower is better
Part one

Who they are

The shape of one comment section: the mix of what gets talked about, how it splits by sentiment, and the subjects Ohio fans raise more than anyone else.

Comment-section fingerprint

Stands out Harm: 14th percentile · Team & Front Office: 19th percentile · Explicit Language: 27th percentileLow volume (not ranked), omitted from the shape: Identity-Based Abuse, Sports Betting.Percentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Ohio Harm: 14th percentile of ranked FBS teams
  • Ohio Identity-Based Abuse: low volume, not ranked
  • Ohio Explicit Language: 27th percentile of ranked FBS teams
  • Ohio College Sports: 40th percentile of ranked FBS teams
  • Ohio Off-Field Storylines: 37th percentile of ranked FBS teams
  • Ohio Sports Betting: low volume, not ranked
  • Ohio Team & Front Office: 19th percentile of ranked FBS teams

Sentiment

Positive76.8%4,468
Neutral9.8%567
Negative12.1%702
Mixed1.3%77

Signature subtags

What Ohio fans bring up more than anyone, vs all 138 FBS fanbases.

College Sports
3.7×

Mentioned Band at 3.7× the rate of the average classified fanbase.

4.8 per 1,000 comments
Team & Front Office
2.7×

Mentioned Crowd & Attendance at 2.7× the rate of the average classified fanbase.

26.7 per 1,000 comments
Team & Front Office
1.9×

Mentioned Opponent Respect at 1.9× the rate of the average classified fanbase.

13.2 per 1,000 comments

Subtag counts are tag applications, which may overlap.

Part two

How the season felt

Week by week, with every game marked. The comment section keeps its own scoreboard, and it does not always agree with the one on the field.

Season heartbeat

Net comment mood by week (green above the baseline, red below) with every game marked on it. Click a game for that week’s story.

+100%+50%−50%−100%0%Peak: +100% · week of Jan 17Low: −15% · L 14–20 at Ball StateAug 28: L 31–34 at RutgersLSep 6: W 17–10 vs West VirginiaWSep 13: L 9–37 at Ohio StateLSep 20: W 52–35 vs Gardner-WebbWSep 27: W 35–20 vs Bowling GreenWOct 4: L 14–20 at Ball StateLOct 18: W 48–21 vs Northern IllinoisWOct 25: W 28–21 at Eastern MichiganWNov 4: W 24–20 vs Miami (Ohio)WNov 11: L 13–17 at Western MichiganLNov 18: W 42–14 vs UMassWNov 28: W 31–26 at BuffaloWDec 23: W 17–10 vs UNLVWAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+59%23352306L 31–34 at Rutgers
2025-08-30+35%269109462No game
2025-09-06+44%6501871,053W 17–10 vs West Virginia
2025-09-13+58%30861425L 9–37 at Ohio State
2025-09-20+82%1433171W 52–35 vs Gardner-Webb
2025-09-27+88%1905211W 35–20 vs Bowling Green
2025-10-04−15%5982152L 14–20 at Ball State
2025-10-11+86%70279No game
2025-10-18+91%2032220W 48–21 vs Northern Illinois
2025-10-25+84%1659186W 28–21 at Eastern Michigan
2025-11-01+85%38519432W 24–20 vs Miami (Ohio)
2025-11-08+31%13466222L 13–17 at Western Michigan
2025-11-15+77%21617257W 42–14 vs UMass
2025-11-22+87%1755196W 31–26 at Buffalo
2025-11-29+90%2183240No game
2025-12-06+84%1145130No game
2025-12-13+78%876104No game
2025-12-20+82%66146746W 17–10 vs UNLV
2025-12-27+82%44350No game
2026-01-03+60%8719114No game
2026-01-10+96%44145No game
2026-01-17+100%13013No game
Mood climbed for 2 straight weeks after the week they lost by 6 at Ball State, gaining 106 points.

Season trend

Weekly share of positive and negative comments with every game marked: click a dot for that week's story.

PositiveNegative
0%50%100%Aug 28: L 31–34 at RutgersLSep 6: W 17–10 vs West VirginiaWSep 13: L 9–37 at Ohio StateLSep 20: W 52–35 vs Gardner-WebbWSep 27: W 35–20 vs Bowling GreenWOct 4: L 14–20 at Ball StateLOct 18: W 48–21 vs Northern IllinoisWOct 25: W 28–21 at Eastern MichiganWNov 4: W 24–20 vs Miami (Ohio)WNov 11: L 13–17 at Western MichiganLNov 18: W 42–14 vs UMassWNov 28: W 31–26 at BuffaloWDec 23: W 17–10 vs UNLVWAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2376.1%17%306
2025-08-3058.2%23.6%462
2025-09-0661.7%17.8%1,053
2025-09-1372.5%14.4%425
2025-09-2083.6%1.8%171
2025-09-2790%2.4%211
2025-10-0438.8%53.9%152
2025-10-1188.6%2.5%79
2025-10-1892.3%0.9%220
2025-10-2588.7%4.8%186
2025-11-0189.1%4.4%432
2025-11-0860.4%29.7%222
2025-11-1584%6.6%257
2025-11-2289.3%2.6%196
2025-11-2990.8%1.3%240
2025-12-0687.7%3.8%130
2025-12-1383.7%5.8%104
2025-12-2088.6%6.2%746
2025-12-2788%6%50
2026-01-0376.3%16.7%114
2026-01-1097.8%2.2%45
2026-01-17100%0%13

Season timeline

Part three

What they actually said

The language, the moderation load, and the comments themselves, exactly as they were posted.

Comment insights

Classified comments per 1,000, by system-tag group.

Harm10.3 per 1,000 · 60
Group Hate 8Personal Attacks 48Sexual Content 6Harm Wish 2Violent Threat 1
Identity-Based Abuse3.1 per 1,000 · 18
Physical Appearance 5Age 1Religion 3LGBTQIA+ 4Gender 2Disability 3Race 1
Explicit Language10.7 per 1,000 · 62
Explicit Words 51Explicit Acronym 11Violent Language 3
College Sports14.4 per 1,000 · 84
NIL 5Recruiting 33Band 28Conference Realignment 8Student Section 5Transfer Portal 5
Off-Field Storylines23.6 per 1,000 · 137
Broadcast & Media 78Officiating 36Injuries 23
Sports Betting3.4 per 1,000 · 20
Gambling 16Prop Bet 2Parlay 2
Team & Front Office91.2 per 1,000 · 530
Crowd & Attendance 155Opponent Hostility 125Opponent Respect 77Stadium Experience 34Coaching 161Front Office 5

Subtag counts are tag applications, which may overlap.

The Swear Jar

27th percentile
62 explicit comments10.7 per 1,000
  • Explicit Words51
  • Explicit Acronym11
  • Violent Language3

Tag applications, which may overlap.

Explicit language shows up in 10.7 of every 1,000 comments on this page: 74th of 100 nationally, the 27th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 13.452.6 per 1,000 · no game that week (week of Jan 3)LWLWWLWWWLWWW2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2313.1L 31–34 at Rutgers
2025-08-3026No game
2025-09-0631.3W 17–10 vs West Virginia
2025-09-1316.5L 9–37 at Ohio State
2025-09-200W 52–35 vs Gardner-Webb
2025-09-270W 35–20 vs Bowling Green
2025-10-0446.1L 14–20 at Ball State
2025-10-110No game
2025-10-180W 48–21 vs Northern Illinois
2025-10-250W 28–21 at Eastern Michigan
2025-11-019.3W 24–20 vs Miami (Ohio)
2025-11-089L 13–17 at Western Michigan
2025-11-150W 42–14 vs UMass
2025-11-220W 31–26 at Buffalo
2025-11-290No game
2025-12-060No game
2025-12-1319.2No game
2025-12-201.3W 17–10 vs UNLV
2025-12-270No game
2026-01-0352.6No game
2026-01-100No game
2026-01-170No game
Harm and identity-based abuse peaked at 52.6 per 1,000 comments (no game that week (week of Jan 3)) against a season average of 13.4 per 1,000.

Season subtag split

Season totals of the classifications Sence applied to comments on this page.

Harm
  • Personal Attacks48
  • Group Hate8
  • Sexual Content6
  • Harm Wish2
  • Violent Threat1
Identity-Based Abuse
  • Physical Appearance5
  • LGBTQIA+4
  • Disability3
  • Religion3
  • Gender2
  • Age1
  • Race1

Tag applications, which may overlap.

Sence flags these in real time so page owners can act before fans see them.

From the comment section

Have a great year champs! 💚

positiveFacebook

Welcome to Athens! Go Bobcats!!!

positiveFacebook

Huh? And yet I still never see your coach on the Pat McAfee Show

negativeBroadcast & MediaFacebook

Gave the game for 2 1/2 quarters and I’m sure they were getting pissed off and embarrassed and finally woke up. Unforgivable our O - line was getting pummeled Still proud of all of them and was happy to represent

mixedFacebook
Behind the numbers

Sence read 2,498,712 college-football comments to build this site. It can read yours.