How to read this list
Rank
Position in the Top 100, sorted by audience size from largest to smallest. Updated weekly.
Audience size
Estimated number of unique people in United States who actively engage with this audience, derived from anonymized search-behavior signals.
Country share
Share of the global audience that is active in United States. A higher value means the audience is more locally concentrated here.
Avg age
Average age in years across the people who engage with this audience in United States, derived from anonymized search-behavior signals. A dash means demographic data is not yet available.
Female share
Share of women among the people who engage with this audience in United States. 50% is gender-balanced; values above mean female-skewed, below mean male-skewed.
Ranking
| Rank | Audience | Audience size | Country share | Avg age | Female share | Subtype |
|---|---|---|---|---|---|---|
| 76 |  Nicholas Hagen |
84k | 82.3% | 34.2 | 43.1% | Soccer |
| 77 |  Michael Bradley |
83k | 58.2% | 34.2 | 42.4% | Soccer |
| 78 |  Cristian Roldan |
82k | 65.5% | 34.4 | 43.0% | Soccer |
| 79 |  Aaron Herrera |
82k | 82.5% | 34.3 | 42.5% | Soccer |
| 80 |  Stefan Frei |
80k | 57.8% | 34.4 | 43.0% | Soccer |
| 81 |  Jack McGlynn |
78k | 57.0% | 34.3 | 42.8% | Soccer |
| 82 |  Luca de la Torre |
77k | 55.9% | 34.2 | 43.1% | Soccer |
| 83 |  Paul Rothrock |
76k | 73.2% | 34.4 | 43.0% | Soccer |
| 84 |  Jacob Jackson |
73k | 58.0% | 34.2 | 42.5% | Soccer |
| 85 |  Ramiro |
72k | 15.4% | 34.2 | 42.5% | Soccer |
| 86 |  David Ruiz |
70k | 47.3% | 34.2 | 43.1% | Soccer |
| 87 |  Pedro de la Vega |
69k | 33.8% | 34.4 | 43.0% | Soccer |
| 88 |  Mateusz Bogusz |
69k | 16.1% | 34.3 | 42.8% | Soccer |
| 89 |  Tai Baribo |
67k | 48.0% | 34.3 | 42.5% | Soccer |
| 90 |  Sean Johnson |
65k | 62.2% | 34.3 | 42.5% | Soccer |
| 91 |  Eric Miller |
65k | 56.1% | 34.2 | 42.5% | Soccer |
| 92 |  Germán Berterame |
62k | 35.6% | 34.2 | 43.1% | Soccer |
| 93 |  Wessam Abou Ali |
62k | 25.4% | 34.2 | 43.1% | Soccer |
| 94 |  Jesús Ferreira |
62k | 65.3% | 34.4 | 43.0% | Soccer |
| 95 |  Facundo Torres |
61k | 6.6% | 34.2 | 43.1% | Soccer |
| 96 |  Noah Allen |
61k | 33.3% | 34.2 | 43.1% | Soccer |
| 97 |  Jack Elliott |
58k | 64.2% | 34.4 | 43.2% | Soccer |
| 98 |  Miles Robinson |
57k | 63.5% | 34.2 | 43.1% | Soccer |
| 99 |  Julian Hall |
54k | 57.0% | 34.2 | 42.4% | Soccer |
| 100 |  Josef Martinez |
54k | 52.0% | 34.2 | 42.4% | Soccer |
Want the full picture for any of these audiences?
Open any profile to see psychographics, top regions, peer affinities and demographic splits — all derived from the same anonymized signals.
Frequently asked questions
How is this Top 100 list compiled?
Rascasse aggregates anonymized search-behavior signals across United States and ranks each mls team by its estimated audience size. Only entries with at least 5 measured entities are listed.
How often is the list updated?
The ranking is refreshed weekly from the latest search-behavior data and re-published as a static page.
What is the largest mls team in United States?
Inter Miami CF currently leads with an estimated audience of 5.3M people in United States.