Maryland

Terrapins · 4–8 in 2025–26

Fan Score
326.5
positive per 1,000 comments
Comments analyzed
9,607
2025–26 season
Positive share
32.7%
of all fan comments
Toxicity
50.3
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 Maryland fans raise more than anyone else.

Comment-section fingerprint

Stands out Team & Front Office: 100th percentile · College Sports: 97th percentile · Sports Betting: 84th percentilePercentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • Maryland Harm: 78th percentile of ranked FBS teams
  • Maryland Identity-Based Abuse: 83rd percentile of ranked FBS teams
  • Maryland Explicit Language: 78th percentile of ranked FBS teams
  • Maryland College Sports: 97th percentile of ranked FBS teams
  • Maryland Off-Field Storylines: 25th percentile of ranked FBS teams
  • Maryland Sports Betting: 84th percentile of ranked FBS teams
  • Maryland Team & Front Office: 100th percentile of ranked FBS teams

Sentiment

Positive32.7%3,137
Neutral8.6%824
Negative56.5%5,431
Mixed2.2%215

Signature subtags

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

Team & Front Office
4.4×

Mentioned Athletic Department at 4.4× the rate of the average classified fanbase.

2.2 per 1,000 comments
College Sports
4.2×

Mentioned Conference Realignment at 4.2× the rate of the average classified fanbase.

7.9 per 1,000 comments
College Sports
3.2×

Mentioned Transfer Portal at 3.2× the rate of the average classified fanbase.

12.1 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% · week of Jan 17Low: −66% · L 20–35 at RutgersAug 30: W 39–7 vs Florida AtlanticWSep 5: W 20–9 vs Northern IllinoisWSep 13: W 44–17 vs TowsonWSep 20: W 27–10 at WisconsinWOct 4: L 20–24 vs WashingtonLOct 11: L 31–34 vs NebraskaLOct 18: L 17–20 at UCLALNov 1: L 10–55 vs IndianaLNov 8: L 20–35 at RutgersLNov 15: L 6–24 at IllinoisLNov 22: L 20–45 vs MichiganLNov 29: L 28–38 vs Michigan StateLAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23−3%8389196No game
2025-08-30+21%296179557W 39–7 vs Florida Atlantic; W 20–9 vs Northern Illinois
2025-09-06−30%106221387No game
2025-09-13−7%219255540W 44–17 vs Towson
2025-09-20+51%594165843W 27–10 at Wisconsin
2025-09-27+58%15731219No game
2025-10-04−42%162424623L 20–24 vs Washington
2025-10-11−34%189413654L 31–34 vs Nebraska
2025-10-18−53%124469653L 17–20 at UCLA
2025-10-25−21%82139272No game
2025-11-01−59%151725966L 10–55 vs Indiana
2025-11-08−66%97599755L 20–35 at Rutgers
2025-11-15−55%130530733L 6–24 at Illinois
2025-11-22−45%131410616L 20–45 vs Michigan
2025-11-29−49%157542782L 28–38 vs Michigan State
2025-12-06−4%4550112No game
2025-12-13+4%4945100No game
2025-12-20+36%612698No game
2025-12-27+21%9154173No game
2026-01-03+38%7227120No game
2026-01-10+17%5335108No game
2026-01-17+85%883100No game
Fan mood fell 100 points the week they lost by 4 to Washington.

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 39–7 vs Florida AtlanticWSep 5: W 20–9 vs Northern IllinoisWSep 13: W 44–17 vs TowsonWSep 20: W 27–10 at WisconsinWOct 4: L 20–24 vs WashingtonLOct 11: L 31–34 vs NebraskaLOct 18: L 17–20 at UCLALNov 1: L 10–55 vs IndianaLNov 8: L 20–35 at RutgersLNov 15: L 6–24 at IllinoisLNov 22: L 20–45 vs MichiganLNov 29: L 28–38 vs Michigan StateLAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2342.3%45.4%196
2025-08-3053.1%32.1%557
2025-09-0627.4%57.1%387
2025-09-1340.6%47.2%540
2025-09-2070.5%19.6%843
2025-09-2771.7%14.2%219
2025-10-0426%68.1%623
2025-10-1128.9%63.1%654
2025-10-1819%71.8%653
2025-10-2530.1%51.1%272
2025-11-0115.6%75.1%966
2025-11-0812.8%79.3%755
2025-11-1517.7%72.3%733
2025-11-2221.3%66.6%616
2025-11-2920.1%69.3%782
2025-12-0640.2%44.6%112
2025-12-1349%45%100
2025-12-2062.2%26.5%98
2025-12-2752.6%31.2%173
2026-01-0360%22.5%120
2026-01-1049.1%32.4%108
2026-01-1788%3%100

Season timeline

Won the game, lost the comments once 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.

Harm40.3 per 1,000 · 387
Group Hate 13Personal Attacks 367Sexual Content 13Harm Wish 4
Identity-Based Abuse10 per 1,000 · 96
Physical Appearance 29Disability 13Race 15Gender 27Age 9LGBTQIA+ 5
Explicit Language34.7 per 1,000 · 333
Explicit Words 278Explicit Acronym 57Explicit Emoji 4Violent Language 3
College Sports42.4 per 1,000 · 407
Band 9Recruiting 113Transfer Portal 116NIL 106Student Section 15Conference Realignment 76
Off-Field Storylines21.2 per 1,000 · 204
Broadcast & Media 78Injuries 38Officiating 81Politics & Activism 8Player Conduct 1
Sports Betting4.7 per 1,000 · 45
Gambling 39Parlay 3Moneyline 3
Team & Front Office250.8 per 1,000 · 2,409
Stadium Experience 69Crowd & Attendance 244Front Office 94Opponent Hostility 120Coaching 1,905Opponent Respect 31Athletic Department 21

Subtag counts are tag applications, which may overlap.

The Swear Jar

78th percentile
333 explicit comments34.7 per 1,000
  • Explicit Words278
  • Explicit Acronym57
  • Explicit Emoji4
  • Violent Language3

Tag applications, which may overlap.

Explicit language shows up in 34.7 of every 1,000 comments on this page: 23rd of 100 nationally, the 78th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 50.3102.9 per 1,000 · no game that week (week of Oct 25)WWWWLLLLLLLL2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-2340.8No game
2025-08-3034.1W 39–7 vs Florida Atlantic; W 20–9 vs Northern Illinois
2025-09-0659.4No game
2025-09-1346.3W 44–17 vs Towson
2025-09-2035.6W 27–10 at Wisconsin
2025-09-274.6No game
2025-10-0432.1L 20–24 vs Washington
2025-10-1153.5L 31–34 vs Nebraska
2025-10-1888.8L 17–20 at UCLA
2025-10-25102.9No game
2025-11-0155.9L 10–55 vs Indiana
2025-11-0834.4L 20–35 at Rutgers
2025-11-1565.5L 6–24 at Illinois
2025-11-2250.3L 20–45 vs Michigan
2025-11-2960.1L 28–38 vs Michigan State
2025-12-0653.6No game
2025-12-1350No game
2025-12-2051No game
2025-12-2711.6No game
2026-01-03100No game
2026-01-100No game
2026-01-170No game
Harm and identity-based abuse peaked at 102.9 per 1,000 comments (no game that week (week of Oct 25)) against a season average of 50.3 per 1,000.

Season subtag split

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

Harm
  • Personal Attacks367
  • Group Hate13
  • Sexual Content13
  • Harm Wish4
Identity-Based Abuse
  • Physical Appearance29
  • Gender27
  • Race15
  • Disability13
  • Age9
  • LGBTQIA+5

Tag applications, which may overlap.

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

From the comment section

I remeber games when they had to add addional seats in the end zone because of demand.

positiveStadium ExperienceFacebook

KG is one in a million. He is a community legend and finds ways to help.

positiveFacebook

Typical Md. Game. Lose big to teams that are ranked and lose big to teams they should beat. I feel sorry for these players, apparently there is no leadership.

negativeFacebook

Time to Shock the college football world. Oh and all the negative Terps fans that post nothing but negative items.

mixedFacebook
Behind the numbers

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