Vanderbilt

Commodores · 10–3 in 2025–26

Fan Score
622.2
positive per 1,000 comments
Comments analyzed
22,930
2025–26 season
Positive share
62.2%
of all fan comments
Toxicity
79.2
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 Vanderbilt fans raise more than anyone else.

Comment-section fingerprint

Stands out Harm: 99th percentile · Identity-Based Abuse: 99th percentile · Sports Betting: 5th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Vanderbilt Harm: 99th percentile of ranked FBS teams
  • Vanderbilt Identity-Based Abuse: 99th percentile of ranked FBS teams
  • Vanderbilt Explicit Language: 77th percentile of ranked FBS teams
  • Vanderbilt College Sports: 14th percentile of ranked FBS teams
  • Vanderbilt Off-Field Storylines: 13th percentile of ranked FBS teams
  • Vanderbilt Sports Betting: 5th percentile of ranked FBS teams
  • Vanderbilt Team & Front Office: 14th percentile of ranked FBS teams

Sentiment

Positive62.2%14,268
Neutral9.8%2,247
Negative26.8%6,143
Mixed1.2%272

Signature subtags

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

Off-Field Storylines
4.7×

Mentioned Player Conduct at 4.7× the rate of the average classified fanbase.

2.8 per 1,000 comments
Identity-Based Abuse
3×

Mentioned Physical Appearance at 3× the rate of the average classified fanbase.

6.6 per 1,000 comments
Identity-Based Abuse
2.9×

Mentioned Age at 2.9× the rate of the average classified fanbase.

2.6 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.

+90%+45%−45%−90%0%Peak: +81% · week of Jan 17Low: −10% · week of Dec 13Aug 30: W 45–3 vs Charleston SoWSep 6: W 44–20 at Virginia TechWSep 13: W 31–7 at South CarolinaWSep 20: W 70–21 vs Georgia StateWSep 27: W 55–35 vs Utah StateWOct 4: L 14–30 at AlabamaLOct 18: W 31–24 vs LSUWOct 25: W 17–10 vs MissouriWNov 1: L 31–34 at TexasLNov 8: W 45–38 (OT) vs AuburnWNov 22: W 45–17 vs KentuckyWNov 29: W 45–24 at TennesseeWDec 31: L 27–34 vs IowaLAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+65%13817186No game
2025-08-30+58%45294617W 45–3 vs Charleston So
2025-09-06+70%64066820W 44–20 at Virginia Tech
2025-09-13+56%8211801,143W 31–7 at South Carolina
2025-09-20+58%53199748W 70–21 vs Georgia State
2025-09-27+67%47569604W 55–35 vs Utah State
2025-10-04+15%377267734L 14–30 at Alabama
2025-10-11+61%14226190No game
2025-10-18+68%8851081,146W 31–24 vs LSU
2025-10-25+64%679104904W 17–10 vs Missouri
2025-11-01+20%384242709L 31–34 at Texas
2025-11-08+59%1,1282381,506W 45–38 (OT) vs Auburn
2025-11-15+69%32437413No game
2025-11-22+61%8001391,082W 45–17 vs Kentucky
2025-11-29+23%1,9221,1273,400W 45–24 at Tennessee
2025-12-06+27%2,0591,1193,491No game
2025-12-13−10%1,2811,5913,173No game
2025-12-20+16%165116307No game
2025-12-27+14%5814211,142L 27–34 vs Iowa
2026-01-03+52%9124128No game
2026-01-10+62%24946325No game
2026-01-17+81%14413162No game
Fan mood fell 52 points the week they lost by 16 at Alabama.

Season trend

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

PositiveNegative
0%44%89%Aug 30: W 45–3 vs Charleston SoWSep 6: W 44–20 at Virginia TechWSep 13: W 31–7 at South CarolinaWSep 20: W 70–21 vs Georgia StateWSep 27: W 55–35 vs Utah StateWOct 4: L 14–30 at AlabamaLOct 18: W 31–24 vs LSUWOct 25: W 17–10 vs MissouriWNov 1: L 31–34 at TexasLNov 8: W 45–38 (OT) vs AuburnWNov 22: W 45–17 vs KentuckyWNov 29: W 45–24 at TennesseeWDec 31: L 27–34 vs IowaLAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2374.2%9.1%186
2025-08-3073.3%15.2%617
2025-09-0678%8%820
2025-09-1371.8%15.7%1,143
2025-09-2071%13.2%748
2025-09-2778.6%11.4%604
2025-10-0451.4%36.4%734
2025-10-1174.7%13.7%190
2025-10-1877.2%9.4%1,146
2025-10-2575.1%11.5%904
2025-11-0154.2%34.1%709
2025-11-0874.9%15.8%1,506
2025-11-1578.5%9%413
2025-11-2273.9%12.8%1,082
2025-11-2956.5%33.1%3,400
2025-12-0659%32.1%3,491
2025-12-1340.4%50.1%3,173
2025-12-2053.7%37.8%307
2025-12-2750.9%36.9%1,142
2026-01-0371.1%18.8%128
2026-01-1076.6%14.2%325
2026-01-1788.9%8%162

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.

Harm64.3 per 1,000 · 1,474
Personal Attacks 1,407Group Hate 42Harm Wish 22Violent Threat 1Sexual Content 68
Identity-Based Abuse14.9 per 1,000 · 341
Disability 41Race 29Age 59Gender 69Physical Appearance 152LGBTQIA+ 5Religion 2
Explicit Language34.2 per 1,000 · 785
Explicit Words 647Explicit Acronym 139Explicit Emoji 17Violent Language 9
College Sports9.1 per 1,000 · 209
NIL 66Student Section 20Conference Realignment 15Recruiting 65Band 25Transfer Portal 26
Off-Field Storylines16.6 per 1,000 · 381
Player Conduct 65Broadcast & Media 147Injuries 38Officiating 122Politics & Activism 13
Sports Betting1.6 per 1,000 · 37
Gambling 32Prop Bet 3Prediction Market 1Parlay 1
Team & Front Office84.6 per 1,000 · 1,941
Coaching 620Stadium Experience 126Crowd & Attendance 253Opponent Hostility 801Opponent Respect 184Front Office 30Athletic Department 4

Subtag counts are tag applications, which may overlap.

The Swear Jar

77th percentile
785 explicit comments34.2 per 1,000
  • Explicit Words647
  • Explicit Acronym139
  • Explicit Emoji17
  • Violent Language9

Tag applications, which may overlap.

Explicit language shows up in 34.2 of every 1,000 comments on this page: 24th of 100 nationally, the 77th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 79.2252.8 per 1,000 · no game that week (week of Dec 13)WWWWWLWWLWWWL2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2316.1No game
2025-08-3045.4W 45–3 vs Charleston So
2025-09-069.8W 44–20 at Virginia Tech
2025-09-1333.2W 31–7 at South Carolina
2025-09-2041.4W 70–21 vs Georgia State
2025-09-2738.1W 55–35 vs Utah State
2025-10-0472.2L 14–30 at Alabama
2025-10-1115.8No game
2025-10-1818.3W 31–24 vs LSU
2025-10-2533.2W 17–10 vs Missouri
2025-11-0160.6L 31–34 at Texas
2025-11-0839.2W 45–38 (OT) vs Auburn
2025-11-157.3No game
2025-11-2226.8W 45–17 vs Kentucky
2025-11-2969.1W 45–24 at Tennessee
2025-12-0665.6No game
2025-12-13252.8No game
2025-12-20175.9No game
2025-12-2795.4L 27–34 vs Iowa
2026-01-0354.7No game
2026-01-1018.5No game
2026-01-176.2No game
Harm and identity-based abuse peaked at 252.8 per 1,000 comments (no game that week (week of Dec 13)) against a season average of 79.2 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks1,407
  • Sexual Content68
  • Group Hate42
  • Harm Wish22
  • Violent Threat1
Identity-Based Abuse
  • Physical Appearance152
  • Gender69
  • Age59
  • Disability41
  • Race29
  • LGBTQIA+5
  • Religion2

Tag applications, which may overlap.

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

From the comment section

Them ol doctors, lawyers and engineers can play some football too! 👊⚡️👊 ⚓️⬇️

positiveFacebook

Welcome to Vanderbilt University, First Bank Stadium and Nashville!

positiveFacebook

I hate that freakin song 🤦‍♀️

negativeFacebook

Little brother gets a win and forgets who daddy is. 79-32-5 please. 😂😂😂 you guys have a great year going. Keep it going. GBO.

mixedOpponent HostilityFacebook
Behind the numbers

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