Iowa

Hawkeyes · 9–4 in 2025–26

Fan Score
600.8
positive per 1,000 comments
Comments analyzed
22,273
2025–26 season
Positive share
60.1%
of all fan comments
Toxicity
37
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 fans raise more than anyone else.

Comment-section fingerprint

Stands out Off-Field Storylines: 97th percentile · College Sports: 10th percentile · Explicit Language: 13th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Iowa Harm: 65th percentile of ranked FBS teams
  • Iowa Identity-Based Abuse: 30th percentile of ranked FBS teams
  • Iowa Explicit Language: 13th percentile of ranked FBS teams
  • Iowa College Sports: 10th percentile of ranked FBS teams
  • Iowa Off-Field Storylines: 97th percentile of ranked FBS teams
  • Iowa Sports Betting: 54th percentile of ranked FBS teams
  • Iowa Team & Front Office: 37th percentile of ranked FBS teams

Sentiment

Positive60.1%13,382
Neutral11.3%2,521
Negative27.3%6,084
Mixed1.3%286

Signature subtags

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

Off-Field Storylines
2.4×

Mentioned Broadcast & Media at 2.4× the rate of the average classified fanbase.

27.7 per 1,000 comments
Identity-Based Abuse
1.9×

Mentioned Age at 1.9× the rate of the average classified fanbase.

1.7 per 1,000 comments
Off-Field Storylines
1.6×

Mentioned Officiating at 1.6× the rate of the average classified fanbase.

19.5 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.

+90%+45%−45%−90%0%Peak: +82% · week of Dec 13Low: −6% · week of Oct 4Aug 30: W 34–7 vs UAlbanyWSep 6: L 13–16 at Iowa StateLSep 13: W 47–7 vs UMassWSep 19: W 38–28 at RutgersWSep 27: L 15–20 vs IndianaLOct 11: W 37–0 at WisconsinWOct 18: W 25–24 vs Penn StateWOct 25: W 41–3 vs MinnesotaWNov 8: L 16–18 vs OregonLNov 15: L 21–26 at USCLNov 22: W 20–17 vs Michigan StateWNov 28: W 40–16 at NebraskaWDec 31: W 34–27 vs VanderbiltWAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+51%17939276No game
2025-08-30+1%6816721,565W 34–7 vs UAlbany
2025-09-06+2%379365831L 13–16 at Iowa State
2025-09-13+38%1,1984641,920W 47–7 vs UMass; W 38–28 at Rutgers
2025-09-20+35%7483271,212No game
2025-09-27+6%303265657L 15–20 vs Indiana
2025-10-04−6%7991211No game
2025-10-11+51%9522441,397W 37–0 at Wisconsin
2025-10-18+21%1,2657632,345W 25–24 vs Penn State
2025-10-25+62%8661471,159W 41–3 vs Minnesota
2025-11-01+23%364193751No game
2025-11-08+22%477280908L 16–18 vs Oregon
2025-11-15+1%5134991,168L 21–26 at USC
2025-11-22+35%1,5646902,526W 20–17 vs Michigan State; W 40–16 at Nebraska
2025-11-29+24%8915181,586No game
2025-12-06+42%18461293No game
2025-12-13+82%35928406No game
2025-12-20+70%59083720No game
2025-12-27+64%1,2882311,646W 34–27 vs Vanderbilt
2026-01-03+69%29641368No game
2026-01-10+68%12618158No game
2026-01-17+9%8065170No game
Fan mood fell 60 points the week of Jan 17.

Season trend

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

PositiveNegative
0%44%88%Aug 30: W 34–7 vs UAlbanyWSep 6: L 13–16 at Iowa StateLSep 13: W 47–7 vs UMassWSep 19: W 38–28 at RutgersWSep 27: L 15–20 vs IndianaLOct 11: W 37–0 at WisconsinWOct 18: W 25–24 vs Penn StateWOct 25: W 41–3 vs MinnesotaWNov 8: L 16–18 vs OregonLNov 15: L 21–26 at USCLNov 22: W 20–17 vs Michigan StateWNov 28: W 40–16 at NebraskaWDec 31: W 34–27 vs VanderbiltWAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2364.9%14.1%276
2025-08-3043.5%42.9%1,565
2025-09-0645.6%43.9%831
2025-09-1362.4%24.2%1,920
2025-09-2061.7%27%1,212
2025-09-2746.1%40.3%657
2025-10-0437.4%43.1%211
2025-10-1168.1%17.5%1,397
2025-10-1853.9%32.5%2,345
2025-10-2574.7%12.7%1,159
2025-11-0148.5%25.7%751
2025-11-0852.5%30.8%908
2025-11-1543.9%42.7%1,168
2025-11-2261.9%27.3%2,526
2025-11-2956.2%32.7%1,586
2025-12-0662.8%20.8%293
2025-12-1388.4%6.9%406
2025-12-2081.9%11.5%720
2025-12-2778.3%14%1,646
2026-01-0380.4%11.1%368
2026-01-1079.7%11.4%158
2026-01-1747.1%38.2%170

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.

Harm31.7 per 1,000 · 707
Personal Attacks 671Group Hate 25Harm Wish 8Violent Threat 5Sexual Content 15
Identity-Based Abuse5.3 per 1,000 · 117
Age 38Disability 19Physical Appearance 32Gender 19Race 5LGBTQIA+ 9
Explicit Language6.7 per 1,000 · 149
Explicit Acronym 90Explicit Words 42Explicit Emoji 12Violent Language 6
College Sports8.5 per 1,000 · 189
Student Section 9Recruiting 76Conference Realignment 11Band 18NIL 55Transfer Portal 25
Off-Field Storylines54.1 per 1,000 · 1,206
Broadcast & Media 617Injuries 151Officiating 434Player Conduct 8Politics & Activism 9
Sports Betting3.1 per 1,000 · 70
Gambling 54Prop Bet 9Moneyline 4Parlay 3
Team & Front Office114.2 per 1,000 · 2,544
Crowd & Attendance 166Coaching 1,665Opponent Hostility 508Opponent Respect 111Stadium Experience 89Athletic Department 4Front Office 32

Subtag counts are tag applications, which may overlap.

The Swear Jar

13th percentile
149 explicit comments6.7 per 1,000
  • Explicit Acronym90
  • Explicit Words42
  • Explicit Emoji12
  • Violent Language6

Tag applications, which may overlap.

Explicit language shows up in 6.7 of every 1,000 comments on this page: 88th of 100 nationally, the 13th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 3774.1 per 1,000 · W 34–7 vs UAlbanyWLWWLWWWLLWWW2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2361.6No game
2025-08-3074.1W 34–7 vs UAlbany
2025-09-0645.7L 13–16 at Iowa State
2025-09-1352.1W 47–7 vs UMass; W 38–28 at Rutgers
2025-09-2038.8No game
2025-09-2727.4L 15–20 vs Indiana
2025-10-0419No game
2025-10-1127.2W 37–0 at Wisconsin
2025-10-1836.2W 25–24 vs Penn State
2025-10-2524.2W 41–3 vs Minnesota
2025-11-0126.6No game
2025-11-0819.8L 16–18 vs Oregon
2025-11-1524L 21–26 at USC
2025-11-2225.3W 20–17 vs Michigan State; W 40–16 at Nebraska
2025-11-2956.1No game
2025-12-0637.5No game
2025-12-1327.1No game
2025-12-2029.2No game
2025-12-2728.6W 34–27 vs Vanderbilt
2026-01-0329.9No game
2026-01-1019No game
2026-01-1758.8No game
Harm and identity-based abuse peaked at 74.1 per 1,000 comments (W 34–7 vs UAlbany) against a season average of 37 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks671
  • Group Hate25
  • Sexual Content15
  • Harm Wish8
  • Violent Threat5
Identity-Based Abuse
  • Age38
  • Physical Appearance32
  • Disability19
  • Gender19
  • LGBTQIA+9
  • Race5

Tag applications, which may overlap.

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

From the comment section

Game one Saturday make it be our first win

positiveFacebook

Three years in a row of the BIG 10 winning the national championship. Enough said.

positiveFacebook

I may not know a lot about football, but I don’t think any of these are fair catches.

negativeOfficiatingFacebook

So glad it's on CBS for us watching on YT TV. So there greedy Disney Corp 😝

mixedBroadcast & MediaFacebook
Behind the numbers

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