A data profile of the people who buy, follow and care about Sportsbook in United States — modelled from more than twelve digital signal sources. Sportsbook has an estimated audience of 2,902,578 people in United States.
The average Sportsbook fan in United States is 40.2 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Wisconsin.
Top brand affinities include Unibet, Gambling, Sports betting, with strongest over-indexing on Unibet (65.53× the country average).
Demographically, the Sportsbook audience skews more male with an average age of 40.2, and over-indexes on personality traits such as Career Orientation, Risk Appetite.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Sportsbook fan in United States is more male, around 40.2 years old, with strong Career Orientation tendencies and a notable affinity for Unibet.
The key figures that characterise the Sportsbook profile in United States.
29.1% are female, 70.9% are male, average age 40.2.
| Metric | Value |
|---|---|
| Female | 29.1% |
| Male | 70.9% |
| Average age | 40.2 |
| Estimated audience size | 2,902,578 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 14% | |
| 20-29 | 23% | |
| 30-39 | 21% | |
| 40-49 | 20% | |
| 50+ | 22% |
of the worldwide Sportsbook audience comes from United States.
| Country | Share |
|---|---|
| United States | 91.9% |
| Indonesia | 5.1% |
| Netherlands | 1.3% |
Where the Sportsbook audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Wisconsin | ~200K | 5.06× | |
| 02 | Nevada | ~100K | 3.62× | |
| 03 | Colorado | ~100K | 2.27× | |
| 04 | Rhode Island | ~20K | 1.71× | |
| 05 | South Carolina | ~70K | 1.65× | |
| 06 | Mississippi | ~30K | 1.45× | |
| 07 | Texas | ~400K | 1.41× | |
| 08 | Illinois | ~100K | 1.23× | |
| 09 | Connecticut | ~40K | 1.23× | |
| 10 | Nebraska | ~20K | 1.19× | |
| 11 | New York | ~200K | 1.18× | |
| 12 | California | ~400K | 1.12× | |
| 13 | Louisiana | ~40K | 1.03× | |
| 14 | Wyoming | ~4K | 1.02× | |
| 15 | New Jersey | ~70K | 1.01× | |
| 16 | Arizona | ~60K | 0.99× | |
| 17 | Washington, District of Columbia | ~9K | 0.98× | |
| 18 | Alabama | ~40K | 0.95× | |
| 19 | Ohio | ~80K | 0.94× | |
| 20 | New Hampshire | ~10K | 0.93× | |
| 21 | Massachusetts | ~50K | 0.91× | |
| 22 | Virginia | ~60K | 0.88× | |
| 23 | Utah | ~20K | 0.88× | |
| 24 | Indiana | ~50K | 0.87× | |
| 25 | North Dakota | ~5K | 0.87× | |
| 26 | Delaware | ~7K | 0.86× | |
| 27 | New Mexico | ~10K | 0.85× | |
| 28 | Alaska | ~5K | 0.83× | |
| 29 | Pennsylvania | ~80K | 0.82× | |
| 30 | Iowa | ~20K | 0.81× | |
| 31 | Washington | ~50K | 0.80× | |
| 32 | South Dakota | ~5K | 0.80× | |
| 33 | Oregon | ~30K | 0.79× | |
| 34 | West Virginia | ~10K | 0.79× | |
| 35 | Hawaii | ~10K | 0.77× | |
| 36 | Montana | ~6K | 0.76× | |
| 37 | Georgia | ~70K | 0.74× | |
| 38 | Missouri | ~30K | 0.74× | |
| 39 | Maryland | ~40K | 0.73× | |
| 40 | Kentucky | ~30K | 0.73× | |
| 41 | Kansas | ~20K | 0.73× | |
| 42 | North Carolina | ~60K | 0.72× | |
| 43 | Maine | ~7K | 0.72× | |
| 44 | Minnesota | ~30K | 0.69× | |
| 45 | Arkansas | ~20K | 0.69× | |
| 46 | Michigan | ~50K | 0.67× | |
| 47 | Tennessee | ~40K | 0.67× | |
| 48 | Idaho | ~10K | 0.67× | |
| 49 | Oklahoma | ~20K | 0.64× | |
| 50 | Florida | ~100K | 0.60× |
The strongest cross-interests of the Sportsbook audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Unibet | Games | 65.53× | ||
| 02 | Mobile gambling | Games | 17.14× | ||
| 03 | Sports betting | Games | 8.99× | ||
| 04 | Bundesliga | Sports | 8.23× | ||
| 05 | Online casino | Games | 7.97× | ||
| 06 | Online gambling | Games | 7.65× | ||
| 07 | Michigan Lottery | Games | 5.99× | ||
| 08 | Philadelphia Phillies | Sports | 4.75× | ||
| 09 | UEFA Europa League | Sports | 4.37× | ||
| 10 | World Series | Sports | 4.29× | ||
| 11 | Gambling | Games | 4.11× | ||
| 12 | Mega Millions | Games | 3.12× | ||
| 13 | Aaron Rodgers | Sports | 2.93× | ||
| 14 | CBS Sports | Movies & TV | 2.62× | ||
| 15 | Powerball | Games | 2.50× | ||
| 16 | Mixed martial arts | Sports | 2.36× | ||
| 17 | FIFA World Cup | Sports | 2.28× | ||
| 18 | NBA Finals | Sports | 2.07× | ||
| 19 | Instant messaging | Internet & Social Media | 1.65× | ||
| 20 | T-Mobile | Technology & Electronics | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.45× | |
| Risk Appetite | THRILL | 1.38× | |
| Convenience Orientation | PREMIUM | 1.33× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.63× | |
| Design Affinity | PREMIUM | 0.64× | |
| Pet Ownership | JOY | 0.65× |
Sportsbook's target market in United States covers an estimated 2,902,578 people, concentrated in California and Texas.
29.1% of the Sportsbook audience are female, 70.9% are male, with an average age of 40.2 years.
Sportsbook fans show strongest brand affinity for Unibet (65.53×), Gambling (4.11×), and Sports betting (8.99×) over the country average.
Sportsbook fans in United States are most concentrated in California (reach ~400K), Texas (reach ~400K), and Wisconsin (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Sportsbook itself, the audience over-indexes on Gambling (4.11×), Sports betting (8.99×), Mobile gambling (17.14×), and Michigan Lottery (5.99×) 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 Sportsbook. 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.
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