Hawaii

Rainbow Warriors · 9–4 in 2025–26

Fan Score
753.9
positive per 1,000 comments
Comments analyzed
13,185
2025–26 season
Positive share
75.4%
of all fan comments
Toxicity
26.4
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 Hawaii fans raise more than anyone else.

Comment-section fingerprint

Stands out Team & Front Office: 9th percentile · Off-Field Storylines: 87th percentile · Sports Betting: 30th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Hawaii Harm: 36th percentile of ranked FBS teams
  • Hawaii Identity-Based Abuse: 56th percentile of ranked FBS teams
  • Hawaii Explicit Language: 44th percentile of ranked FBS teams
  • Hawaii College Sports: 35th percentile of ranked FBS teams
  • Hawaii Off-Field Storylines: 87th percentile of ranked FBS teams
  • Hawaii Sports Betting: 30th percentile of ranked FBS teams
  • Hawaii Team & Front Office: 9th percentile of ranked FBS teams

Sentiment

Positive75.4%9,940
Neutral8.5%1,119
Negative15%1,974
Mixed1.2%152

Signature subtags

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

Identity-Based Abuse
5.3×

Mentioned Race at 5.3× the rate of the average classified fanbase.

3.2 per 1,000 comments
Off-Field Storylines
1.8×

Mentioned Broadcast & Media at 1.8× the rate of the average classified fanbase.

20.6 per 1,000 comments
Off-Field Storylines
1.8×

Mentioned Injuries at 1.8× the rate of the average classified fanbase.

11.4 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: +85% · W 31–19 at Colorado StateLow: +5% · L 21–23 vs Fresno StateAug 23: W 23–20 vs StanfordWAug 30: L 6–40 at ArizonaLSep 6: W 37–20 vs Sam HoustonWSep 13: W 23–3 vs Portland StWSep 20: L 21–23 vs Fresno StateLSep 27: W 44–35 at Air ForceWOct 11: W 44–26 vs Utah StateWOct 18: W 31–19 at Colorado StateWNov 1: L 38–45 at San Jose StateLNov 8: W 38–6 vs San Diego StateWNov 21: L 10–38 at UNLVLNov 29: W 27–7 vs WyomingWDec 24: W 35–31 vs CaliforniaWAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+63%1,1781971,553W 23–20 vs Stanford
2025-08-30+10%271216549L 6–40 at Arizona
2025-09-06+66%39855518W 37–20 vs Sam Houston
2025-09-13+51%414105609W 23–3 vs Portland St
2025-09-20+5%299267631L 21–23 vs Fresno State
2025-09-27+76%54857646W 44–35 at Air Force
2025-10-04+46%8928133No game
2025-10-11+77%66950803W 44–26 vs Utah State
2025-10-18+85%74635836W 31–19 at Colorado State
2025-10-25+60%25046341No game
2025-11-01+21%296183539L 38–45 at San Jose State
2025-11-08+78%72858859W 38–6 vs San Diego State
2025-11-15+79%23617278L 10–38 at UNLV
2025-11-22+30%449228749No game
2025-11-29+73%1,0221181,241W 27–7 vs Wyoming
2025-12-06+82%32217371No game
2025-12-13+62%19133254No game
2025-12-20+72%1,3981841,675W 35–31 vs California
2025-12-27+56%16140218No game
2026-01-03+52%11828174No game
2026-01-10+72%1329172No game
2026-01-17+61%25336No game
Fan mood jumped 71 points the week they beat Air Force by 9.

Season trend

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

PositiveNegative
0%45%89%Aug 23: W 23–20 vs StanfordWAug 30: L 6–40 at ArizonaLSep 6: W 37–20 vs Sam HoustonWSep 13: W 23–3 vs Portland StWSep 20: L 21–23 vs Fresno StateLSep 27: W 44–35 at Air ForceWOct 11: W 44–26 vs Utah StateWOct 18: W 31–19 at Colorado StateWNov 1: L 38–45 at San Jose StateLNov 8: W 38–6 vs San Diego StateWNov 21: L 10–38 at UNLVLNov 29: W 27–7 vs WyomingWDec 24: W 35–31 vs CaliforniaWAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2375.9%12.7%1,553
2025-08-3049.4%39.3%549
2025-09-0676.8%10.6%518
2025-09-1368%17.2%609
2025-09-2047.4%42.3%631
2025-09-2784.8%8.8%646
2025-10-0466.9%21.1%133
2025-10-1183.3%6.2%803
2025-10-1889.2%4.2%836
2025-10-2573.3%13.5%341
2025-11-0154.9%34%539
2025-11-0884.7%6.8%859
2025-11-1584.9%6.1%278
2025-11-2259.9%30.4%749
2025-11-2982.4%9.5%1,241
2025-12-0686.8%4.6%371
2025-12-1375.2%13%254
2025-12-2083.5%11%1,675
2025-12-2773.9%18.3%218
2026-01-0367.8%16.1%174
2026-01-1076.7%5.2%172
2026-01-1769.4%8.3%36

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.

Harm19.3 per 1,000 · 254
Personal Attacks 216Group Hate 28Harm Wish 8Sexual Content 7Violent Threat 2
Identity-Based Abuse7.1 per 1,000 · 94
Gender 13Age 4Race 42Physical Appearance 16Disability 7LGBTQIA+ 12Religion 5
Explicit Language16.5 per 1,000 · 218
Explicit Words 173Explicit Acronym 43Explicit Emoji 8Violent Language 3
College Sports13.6 per 1,000 · 179
NIL 47Recruiting 53Conference Realignment 27Transfer Portal 48Student Section 3Band 6
Off-Field Storylines39.8 per 1,000 · 525
Broadcast & Media 272Injuries 150Officiating 90Player Conduct 7Politics & Activism 9
Sports Betting2.6 per 1,000 · 34
Gambling 27Moneyline 4Prop Bet 3
Team & Front Office74.7 per 1,000 · 985
Coaching 677Opponent Hostility 79Stadium Experience 91Crowd & Attendance 107Front Office 20Opponent Respect 34

Subtag counts are tag applications, which may overlap.

The Swear Jar

44th percentile
218 explicit comments16.5 per 1,000
  • Explicit Words173
  • Explicit Acronym43
  • Explicit Emoji8
  • Violent Language3

Tag applications, which may overlap.

Explicit language shows up in 16.5 of every 1,000 comments on this page: 57th of 100 nationally, the 44th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 26.473.4 per 1,000 · no game that week (week of Dec 27)WLWWLWWWLWLWW2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2329W 23–20 vs Stanford
2025-08-3036.4L 6–40 at Arizona
2025-09-061.9W 37–20 vs Sam Houston
2025-09-1352.5W 23–3 vs Portland St
2025-09-2065L 21–23 vs Fresno State
2025-09-2726.3W 44–35 at Air Force
2025-10-0430.1No game
2025-10-1119.9W 44–26 vs Utah State
2025-10-189.6W 31–19 at Colorado State
2025-10-2526.4No game
2025-11-0155.7L 38–45 at San Jose State
2025-11-087W 38–6 vs San Diego State
2025-11-1514.4L 10–38 at UNLV
2025-11-2232No game
2025-11-2918.5W 27–7 vs Wyoming
2025-12-068.1No game
2025-12-1311.8No game
2025-12-2023.9W 35–31 vs California
2025-12-2773.4No game
2026-01-0334.5No game
2026-01-100No game
2026-01-170No game
Harm and identity-based abuse peaked at 73.4 per 1,000 comments (no game that week (week of Dec 27)) against a season average of 26.4 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks216
  • Group Hate28
  • Harm Wish8
  • Sexual Content7
  • Violent Threat2
Identity-Based Abuse
  • Race42
  • Physical Appearance16
  • Gender13
  • LGBTQIA+12
  • Disability7
  • Religion5
  • Age4

Tag applications, which may overlap.

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

From the comment section

Let’s Go Warriors 🏈🏈🏈🏈🏈🏈🏈

positiveFacebook

They beat them definitely top 25

positiveFacebook

Stutzman is outplaying Hawaii hands down! 🤦🏻‍♂️

negativeFacebook

Hopefully, #25 doesn't get smoked in coverage again...Holy smokes!

mixedBroadcast & MediaFacebook
Behind the numbers

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