Kansas State

Wildcats · 6–6 in 2025–26

Fan Score
436.3
positive per 1,000 comments
Comments analyzed
17,428
2025–26 season
Positive share
43.6%
of all fan comments
Toxicity
35.4
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 Kansas State fans raise more than anyone else.

Comment-section fingerprint

Stands out Team & Front Office: 90th percentile · College Sports: 84th percentile · Off-Field Storylines: 78th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Kansas State Harm: 57th percentile of ranked FBS teams
  • Kansas State Identity-Based Abuse: 56th percentile of ranked FBS teams
  • Kansas State Explicit Language: 61st percentile of ranked FBS teams
  • Kansas State College Sports: 84th percentile of ranked FBS teams
  • Kansas State Off-Field Storylines: 78th percentile of ranked FBS teams
  • Kansas State Sports Betting: 33rd percentile of ranked FBS teams
  • Kansas State Team & Front Office: 90th percentile of ranked FBS teams

Sentiment

Positive43.6%7,603
Neutral8.8%1,537
Negative45.1%7,866
Mixed2.4%422

Signature subtags

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

College Sports
4.7×

Mentioned Band at 4.7× the rate of the average classified fanbase.

6.1 per 1,000 comments
College Sports
3.1×

Mentioned NIL at 3.1× the rate of the average classified fanbase.

11.8 per 1,000 comments
Team & Front Office
2.5×

Mentioned Front Office at 2.5× the rate of the average classified fanbase.

8.5 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.

+80%+40%−40%−80%0%Peak: +76% · week of Jan 10Low: −62% · week of Sep 13Aug 23: L 21–24 vs Iowa StateLAug 30: W 38–35 vs North DakotaWSep 6: L 21–24 vs ArmyLSep 12: L 17–23 at ArizonaLSep 27: W 34–20 vs UCFWOct 4: L 34–35 at BaylorLOct 11: W 41–28 vs TCUWOct 25: W 42–17 at KansasWNov 1: L 20–43 vs Texas TechLNov 15: W 14–6 at Oklahoma StateWNov 22: L 47–51 at UtahLNov 29: W 24–14 vs ColoradoWAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23−37%3538441,345L 21–24 vs Iowa State
2025-08-30−23%4497711,389W 38–35 vs North Dakota
2025-09-06−34%4109081,462L 21–24 vs Army; L 17–23 at Arizona
2025-09-13−62%1869721,267No game
2025-09-20+11%9372193No game
2025-09-27+58%36881498W 34–20 vs UCF
2025-10-04−40%243614939L 34–35 at Baylor
2025-10-11+43%314107482W 41–28 vs TCU
2025-10-18+50%7318109No game
2025-10-25+47%7782411,141W 42–17 at Kansas
2025-11-01−23%239411746L 20–43 vs Texas Tech
2025-11-08+70%12711165No game
2025-11-15−15%312436844W 14–6 at Oklahoma State
2025-11-22−23%4717901,402L 47–51 at Utah
2025-11-29+51%1,6544672,342W 24–14 vs Colorado
2025-12-06−13%6128231,681No game
2025-12-13+65%16628213No game
2025-12-20+19%15189321No game
2025-12-27+35%13559218No game
2026-01-03+40%13248210No game
2026-01-10+76%929109No game
2026-01-17+51%24567352No game
Mood climbed for 2 straight weeks after the week of Sep 13, gaining 120 points.

Season trend

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

PositiveNegative
0%42%84%Aug 23: L 21–24 vs Iowa StateLAug 30: W 38–35 vs North DakotaWSep 6: L 21–24 vs ArmyLSep 12: L 17–23 at ArizonaLSep 27: W 34–20 vs UCFWOct 4: L 34–35 at BaylorLOct 11: W 41–28 vs TCUWOct 25: W 42–17 at KansasWNov 1: L 20–43 vs Texas TechLNov 15: W 14–6 at Oklahoma StateWNov 22: L 47–51 at UtahLNov 29: W 24–14 vs ColoradoWAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2326.2%62.8%1,345
2025-08-3032.3%55.5%1,389
2025-09-0628%62.1%1,462
2025-09-1314.7%76.7%1,267
2025-09-2048.2%37.3%193
2025-09-2773.9%16.3%498
2025-10-0425.9%65.4%939
2025-10-1165.1%22.2%482
2025-10-1867%16.5%109
2025-10-2568.2%21.1%1,141
2025-11-0132%55.1%746
2025-11-0877%6.7%165
2025-11-1537%51.7%844
2025-11-2233.6%56.3%1,402
2025-11-2970.6%19.9%2,342
2025-12-0636.4%49%1,681
2025-12-1377.9%13.1%213
2025-12-2047%27.7%321
2025-12-2761.9%27.1%218
2026-01-0362.9%22.9%210
2026-01-1084.4%8.3%109
2026-01-1769.6%19%352

Season timeline

Won the game, lost the comments 2 times this season; open a game below for that night’s story.

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.

Harm28.3 per 1,000 · 494
Personal Attacks 471Harm Wish 6Sexual Content 7Group Hate 15
Identity-Based Abuse7.1 per 1,000 · 123
Physical Appearance 42Gender 35LGBTQIA+ 14Age 19Disability 17Religion 1
Explicit Language26.4 per 1,000 · 460
Explicit Words 372Explicit Acronym 87Explicit Emoji 9Violent Language 2
College Sports28.3 per 1,000 · 493
Band 107NIL 206Conference Realignment 18Transfer Portal 141Recruiting 51Student Section 7
Off-Field Storylines35.5 per 1,000 · 619
Broadcast & Media 157Injuries 95Officiating 365Player Conduct 13Politics & Activism 2
Sports Betting2.7 per 1,000 · 47
Gambling 42Prop Bet 2Moneyline 3
Team & Front Office201.5 per 1,000 · 3,512
Crowd & Attendance 140Opponent Hostility 278Stadium Experience 125Coaching 2,778Front Office 148Opponent Respect 87Athletic Department 18

Subtag counts are tag applications, which may overlap.

The Swear Jar

61st percentile
460 explicit comments26.4 per 1,000
  • Explicit Words372
  • Explicit Acronym87
  • Explicit Emoji9
  • Violent Language2

Tag applications, which may overlap.

Explicit language shows up in 26.4 of every 1,000 comments on this page: 40th of 100 nationally, the 61st percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 35.470.3 per 1,000 · L 34–35 at BaylorLWLLWLWWLWLW2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2333.5L 21–24 vs Iowa State
2025-08-3041.8W 38–35 vs North Dakota
2025-09-0639L 21–24 vs Army; L 17–23 at Arizona
2025-09-1355.2No game
2025-09-205.2No game
2025-09-2722.1W 34–20 vs UCF
2025-10-0470.3L 34–35 at Baylor
2025-10-1149.8W 41–28 vs TCU
2025-10-180No game
2025-10-2524.5W 42–17 at Kansas
2025-11-0145.6L 20–43 vs Texas Tech
2025-11-080No game
2025-11-1537.9W 14–6 at Oklahoma State
2025-11-2230.7L 47–51 at Utah
2025-11-2926.9W 24–14 vs Colorado
2025-12-0624.4No game
2025-12-1323.5No game
2025-12-2053No game
2025-12-2741.3No game
2026-01-0338.1No game
2026-01-100No game
2026-01-1714.2No game
Harm and identity-based abuse peaked at 70.3 per 1,000 comments (L 34–35 at Baylor) against a season average of 35.4 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks471
  • Group Hate15
  • Sexual Content7
  • Harm Wish6
Identity-Based Abuse
  • Physical Appearance42
  • Gender35
  • Age19
  • Disability17
  • LGBTQIA+14
  • Religion1

Tag applications, which may overlap.

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

From the comment section

That is amazing. What a special thing for them.🥰❤️

positiveFacebook

LET,S GO K-state wild cats

positiveFacebook

Coach lost that one. Time to look for a new one.

negativeCoachingFacebook

Go cats! Matt wells gotta go

mixedCoachingFacebook
Behind the numbers

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