A data profile of the people who buy, follow and care about Betfair in United States — modelled from more than twelve digital signal sources. Betfair has an estimated audience of 649,816 people in United States.
The average Betfair fan in United States is 37.8 years old, more male, and lives primarily in New York.
The audience is concentrated in New York, California, Virginia.
Top brand affinities include Mi, Powerball, Los Angeles Dodgers, with strongest over-indexing on Mi (56.96× the country average).
Demographically, the Betfair audience skews more male with an average age of 37.8, and over-indexes on personality traits such as Individualism, Risk Appetite.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Betfair fan in United States is more male, around 37.8 years old, with strong Individualism tendencies and a notable affinity for Mi.
The key figures that characterise the Betfair profile in United States.
32.2% are female, 67.8% are male, average age 37.8.
| Metric | Value |
|---|---|
| Female | 32.2% |
| Male | 67.8% |
| Average age | 37.8 |
| Estimated audience size | 649,816 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 23% | |
| 30-39 | 21% | |
| 40-49 | 18% | |
| 50+ | 17% |
Where the Betfair audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Virginia | ~70K | 4.58× | |
| 02 | Oregon | ~20K | 3.13× | |
| 03 | Washington, District of Columbia | ~6K | 2.96× | |
| 04 | New York | ~90K | 2.50× | |
| 05 | New Jersey | ~40K | 2.41× | |
| 06 | Massachusetts | ~30K | 2.20× | |
| 07 | Washington | ~20K | 1.38× | |
| 08 | Florida | ~60K | 1.33× | |
| 09 | Illinois | ~30K | 1.27× | |
| 10 | Ohio | ~30K | 1.26× | |
| 11 | Nevada | ~8K | 1.25× | |
| 12 | Connecticut | ~8K | 1.22× | |
| 13 | California | ~90K | 1.21× | |
| 14 | Arizona | ~10K | 1.04× | |
| 15 | Kentucky | ~9K | 1.02× | |
| 16 | Delaware | ~2K | 1.02× | |
| 17 | Pennsylvania | ~20K | 1.00× | |
| 18 | Georgia | ~20K | 0.91× | |
| 19 | Alaska | ~1K | 0.91× | |
| 20 | Vermont | ~1K | 0.91× | |
| 21 | West Virginia | ~3K | 0.90× | |
| 22 | New Hampshire | ~2K | 0.90× | |
| 23 | North Dakota | ~1K | 0.90× | |
| 24 | Kansas | ~5K | 0.89× | |
| 25 | Rhode Island | ~2K | 0.89× | |
| 26 | South Dakota | ~1K | 0.89× | |
| 27 | Montana | ~2K | 0.86× | |
| 28 | Tennessee | ~10K | 0.85× | |
| 29 | Hawaii | ~2K | 0.85× | |
| 30 | Texas | ~50K | 0.82× | |
| 31 | Louisiana | ~7K | 0.82× | |
| 32 | Maine | ~2K | 0.82× | |
| 33 | Colorado | ~9K | 0.81× | |
| 34 | South Carolina | ~8K | 0.81× | |
| 35 | Idaho | ~3K | 0.80× | |
| 36 | New Mexico | ~3K | 0.79× | |
| 37 | Arkansas | ~4K | 0.78× | |
| 38 | Nebraska | ~3K | 0.78× | |
| 39 | Mississippi | ~4K | 0.77× | |
| 40 | Michigan | ~10K | 0.76× | |
| 41 | Iowa | ~4K | 0.76× | |
| 42 | Maryland | ~9K | 0.75× | |
| 43 | Missouri | ~8K | 0.74× | |
| 44 | North Carolina | ~10K | 0.71× | |
| 45 | Utah | ~4K | 0.70× | |
| 46 | Indiana | ~8K | 0.69× | |
| 47 | Oklahoma | ~5K | 0.69× | |
| 48 | Alabama | ~6K | 0.68× | |
| 49 | Minnesota | ~6K | 0.62× | |
| 50 | Wisconsin | ~6K | 0.61× |
The strongest cross-interests of the Betfair audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Sky Bet | Games | 115.86× | ||
| 02 | Betsson | Games | 78.90× | ||
| 03 | IPL Cricket | Sports | 74.90× | ||
| 04 | Paddy Power | Games | 63.31× | ||
| 05 | Mi | Technology & Electronics | 56.96× | ||
| 06 | Betfred | Games | 55.26× | ||
| 07 | Actor Vijay | Movies & TV | 53.80× | ||
| 08 | Unibet | Games | 43.75× | ||
| 09 | Bet365 | Games | 42.14× | ||
| 10 | BSE SENSEX | Business & Career | 32.34× | ||
| 11 | Indian Cricket | Sports | 28.89× | ||
| 12 | PokerStars | Games | 24.59× | ||
| 13 | Mobile gambling | Games | 18.05× | ||
| 14 | College baseball | Sports | 17.92× | ||
| 15 | Torrid | Fashion & Accessoires | 15.12× | ||
| 16 | Baccarat | Games | 14.30× | ||
| 17 | Los Angeles Dodgers | Sports | 14.27× | ||
| 18 | Online gambling | Games | 11.94× | ||
| 19 | Powerball | Games | 8.57× | ||
| 20 | Mega Millions | Games | 8.06× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Individualism | JOY | 1.61× | |
| Risk Appetite | THRILL | 1.22× | |
| Social Media Usage | JOY | 1.19× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.80× | |
| Design Affinity | PREMIUM | 0.82× | |
| Sports Activity | POWER | 0.88× |
Betfair's target market in United States covers an estimated 649,816 people, concentrated in New York and California.
32.2% of the Betfair audience are female, 67.8% are male, with an average age of 37.8 years.
Betfair fans show strongest brand affinity for Mi (56.96×), Powerball (8.57×), and Los Angeles Dodgers (14.27×) over the country average.
Betfair fans in United States are most concentrated in New York (reach ~90K), California (reach ~90K), and Virginia (reach ~70K). These three regions account for the largest share of the active audience.
Beyond Betfair itself, the audience over-indexes on Powerball (8.57×), Los Angeles Dodgers (14.27×), Actor Vijay (53.8×), and Unibet (43.75×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for Betfair. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.
This audience profile is generated by Rascasse from anonymized search-behavior signals across United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.