Iowa State

Cyclones · 8–4 in 2025–26

Fan Score
545
positive per 1,000 comments
Comments analyzed
21,588
2025–26 season
Positive share
54.5%
of all fan comments
Toxicity
34
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 Iowa State fans raise more than anyone else.

Comment-section fingerprint

Stands out Off-Field Storylines: 99th percentile · Team & Front Office: 82nd percentile · Identity-Based Abuse: 26th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Iowa State Harm: 59th percentile of ranked FBS teams
  • Iowa State Identity-Based Abuse: 26th percentile of ranked FBS teams
  • Iowa State Explicit Language: 64th percentile of ranked FBS teams
  • Iowa State College Sports: 69th percentile of ranked FBS teams
  • Iowa State Off-Field Storylines: 99th percentile of ranked FBS teams
  • Iowa State Sports Betting: 40th percentile of ranked FBS teams
  • Iowa State Team & Front Office: 82nd percentile of ranked FBS teams

Sentiment

Positive54.5%11,765
Neutral9.1%1,968
Negative34.2%7,377
Mixed2.2%478

Signature subtags

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

Off-Field Storylines
4.4×

Mentioned Injuries at 4.4× the rate of the average classified fanbase.

27.3 per 1,000 comments
Team & Front Office
2.4×

Mentioned Front Office at 2.4× the rate of the average classified fanbase.

8 per 1,000 comments
College Sports
1.9×

Mentioned Transfer Portal at 1.9× the rate of the average classified fanbase.

7.2 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.

+80%+40%−40%−80%0%Peak: +77% · week of Nov 15Low: −43% · L 17–24 at ColoradoAug 23: W 24–21 vs Kansas StateWAug 30: W 55–7 vs South DakotaWSep 6: W 16–13 vs IowaWSep 13: W 24–16 at Arkansas StateWSep 27: W 39–14 vs ArizonaWOct 4: L 30–38 at CincinnatiLOct 11: L 17–24 at ColoradoLOct 25: L 27–41 vs BYULNov 1: L 19–24 vs Arizona StateLNov 8: W 20–17 at TCUWNov 22: W 38–14 vs KansasWNov 29: W 20–13 at Oklahoma StateWAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+69%1,3201811,644W 24–21 vs Kansas State
2025-08-30+65%742109973W 55–7 vs South Dakota
2025-09-06+36%1,1985111,889W 16–13 vs Iowa
2025-09-13+10%6144841,249W 24–16 at Arkansas State
2025-09-20+53%34381495No game
2025-09-27+62%694129914W 39–14 vs Arizona
2025-10-04−16%5177321,387L 30–38 at Cincinnati
2025-10-11−43%2727531,111L 17–24 at Colorado
2025-10-18+59%7310107No game
2025-10-25−26%3556621,159L 27–41 vs BYU
2025-11-01−7%5426341,304L 19–24 vs Arizona State
2025-11-08+51%7922241,104W 20–17 at TCU
2025-11-15+77%39935473No game
2025-11-22+73%61771753W 38–14 vs Kansas
2025-11-29+24%526306931W 20–13 at Oklahoma State
2025-12-06−6%1,6941,9534,287No game
2025-12-13−12%4153100No game
2025-12-20+43%13344205No game
2025-12-27+37%489201784No game
2026-01-03+32%13057230No game
2026-01-10+34%10950173No game
2026-01-17+22%16597316No game
Mood climbed for 3 straight weeks after the week they lost by 14 to BYU, gaining 103 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: W 24–21 vs Kansas StateWAug 30: W 55–7 vs South DakotaWSep 6: W 16–13 vs IowaWSep 13: W 24–16 at Arkansas StateWSep 27: W 39–14 vs ArizonaWOct 4: L 30–38 at CincinnatiLOct 11: L 17–24 at ColoradoLOct 25: L 27–41 vs BYULNov 1: L 19–24 vs Arizona StateLNov 8: W 20–17 at TCUWNov 22: W 38–14 vs KansasWNov 29: W 20–13 at Oklahoma StateWAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2380.3%11%1,644
2025-08-3076.3%11.2%973
2025-09-0663.4%27.1%1,889
2025-09-1349.2%38.8%1,249
2025-09-2069.3%16.4%495
2025-09-2775.9%14.1%914
2025-10-0437.3%52.8%1,387
2025-10-1124.5%67.8%1,111
2025-10-1868.2%9.3%107
2025-10-2530.6%57.1%1,159
2025-11-0141.6%48.6%1,304
2025-11-0871.7%20.3%1,104
2025-11-1584.4%7.4%473
2025-11-2281.9%9.4%753
2025-11-2956.5%32.9%931
2025-12-0639.5%45.6%4,287
2025-12-1341%53%100
2025-12-2064.9%21.5%205
2025-12-2762.4%25.6%784
2026-01-0356.5%24.8%230
2026-01-1063%28.9%173
2026-01-1752.2%30.7%316

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.

Harm28.9 per 1,000 · 623
Personal Attacks 588Group Hate 27Harm Wish 6Sexual Content 16Violent Threat 4
Identity-Based Abuse5.2 per 1,000 · 112
Disability 24Religion 3Physical Appearance 31Gender 29Race 7LGBTQIA+ 9Age 11
Explicit Language27.5 per 1,000 · 594
Explicit Words 460Explicit Acronym 111Violent Language 24Explicit Emoji 10
College Sports20.4 per 1,000 · 441
Conference Realignment 16Recruiting 133Transfer Portal 155NIL 131Band 14Student Section 16
Off-Field Storylines56.7 per 1,000 · 1,223
Officiating 351Broadcast & Media 285Injuries 590Player Conduct 7Politics & Activism 7
Sports Betting2.8 per 1,000 · 60
Gambling 52Moneyline 2Prop Bet 3Parlay 3
Team & Front Office173.3 per 1,000 · 3,741
Coaching 2,801Opponent Respect 169Opponent Hostility 325Crowd & Attendance 202Stadium Experience 127Front Office 173Athletic Department 7

Subtag counts are tag applications, which may overlap.

The Swear Jar

64th percentile
594 explicit comments27.5 per 1,000
  • Explicit Words460
  • Explicit Acronym111
  • Violent Language24
  • Explicit Emoji10

Tag applications, which may overlap.

Explicit language shows up in 27.5 of every 1,000 comments on this page: 37th of 100 nationally, the 64th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 34100 per 1,000 · no game that week (week of Dec 13)WWWWWLLLLWWW2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2325.5W 24–21 vs Kansas State
2025-08-3020.6W 55–7 vs South Dakota
2025-09-0645.5W 16–13 vs Iowa
2025-09-1331.2W 24–16 at Arkansas State
2025-09-2022.2No game
2025-09-2716.4W 39–14 vs Arizona
2025-10-0434.6L 30–38 at Cincinnati
2025-10-1132.4L 17–24 at Colorado
2025-10-180No game
2025-10-2533.6L 27–41 vs BYU
2025-11-0159L 19–24 vs Arizona State
2025-11-0820.8W 20–17 at TCU
2025-11-150No game
2025-11-229.3W 38–14 vs Kansas
2025-11-2937.6W 20–13 at Oklahoma State
2025-12-0646No game
2025-12-13100No game
2025-12-2019.5No game
2025-12-2724.2No game
2026-01-0326.1No game
2026-01-1046.2No game
2026-01-1741.1No game
Harm and identity-based abuse peaked at 100 per 1,000 comments (no game that week (week of Dec 13)) against a season average of 34 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks588
  • Group Hate27
  • Sexual Content16
  • Harm Wish6
  • Violent Threat4
Identity-Based Abuse
  • Physical Appearance31
  • Gender29
  • Disability24
  • Age11
  • LGBTQIA+9
  • Race7
  • Religion3

Tag applications, which may overlap.

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

From the comment section

Go Clones! Just get it done

positiveFacebook

Let’s go! Help make it happen Coach Rogers.

positiveCoachingFacebook

40 year fan get some money! I’m tired!!!

negativeFacebook

Why waist a down? Coaching sucked today. Defensive scheme is really bad. I feel for our players who play so hard.

mixedCoachingFacebook
Behind the numbers

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