A data profile of the people who buy, follow and care about Phil Ivey in United States — modelled from more than twelve digital signal sources. Phil Ivey has an estimated audience of 441,925 people in United States.
The average Phil Ivey fan in United States is 36.7 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Darrelle Revis, Doyle Brunson, Phil Hellmuth, with strongest over-indexing on Darrelle Revis (278.56× the country average).
Demographically, the Phil Ivey audience skews more male with an average age of 36.7, and over-indexes on personality traits such as Career Orientation, Urban Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Phil Ivey fan in United States is more male, around 36.7 years old, with strong Career Orientation tendencies and a notable affinity for Darrelle Revis.
The key figures that characterise the Phil Ivey profile in United States.
31.5% are female, 68.5% are male, average age 36.7.
| Metric | Value |
|---|---|
| Female | 31.5% |
| Male | 68.5% |
| Average age | 36.7 |
| Estimated audience size | 441,925 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 23% | |
| 20-29 | 24% | |
| 30-39 | 22% | |
| 40-49 | 17% | |
| 50+ | 14% |
of the worldwide Phil Ivey audience comes from United States.
| Country | Share |
|---|---|
| United States | 53.2% |
| United Kingdom | 9.2% |
| Canada | 6.4% |
Where the Phil Ivey audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Nevada | ~10K | 2.73× | |
| 02 | Connecticut | ~8K | 1.69× | |
| 03 | New Jersey | ~10K | 1.24× | |
| 04 | California | ~60K | 1.21× | |
| 05 | New York | ~30K | 1.21× | |
| 06 | Massachusetts | ~10K | 1.15× | |
| 07 | Illinois | ~20K | 1.11× | |
| 08 | Washington | ~10K | 1.11× | |
| 09 | Washington, District of Columbia | ~2K | 1.11× | |
| 10 | Oregon | ~6K | 1.08× | |
| 11 | Arizona | ~10K | 1.07× | |
| 12 | Maryland | ~8K | 1.07× | |
| 13 | Pennsylvania | ~20K | 1.06× | |
| 14 | Colorado | ~8K | 1.06× | |
| 15 | Minnesota | ~7K | 1.04× | |
| 16 | Hawaii | ~2K | 1.02× | |
| 17 | Indiana | ~8K | 1.01× | |
| 18 | Rhode Island | ~1K | 1.01× | |
| 19 | North Carolina | ~10K | 1.00× | |
| 20 | New Hampshire | ~2K | 1.00× | |
| 21 | Georgia | ~10K | 0.99× | |
| 22 | Michigan | ~10K | 0.99× | |
| 23 | Florida | ~30K | 0.98× | |
| 24 | Virginia | ~10K | 0.98× | |
| 25 | Texas | ~40K | 0.97× | |
| 26 | Ohio | ~10K | 0.97× | |
| 27 | Missouri | ~7K | 0.97× | |
| 28 | Oklahoma | ~5K | 0.95× | |
| 29 | Vermont | <1K | 0.95× | |
| 30 | Tennessee | ~9K | 0.94× | |
| 31 | Utah | ~4K | 0.94× | |
| 32 | Wisconsin | ~6K | 0.93× | |
| 33 | Kentucky | ~5K | 0.93× | |
| 34 | Idaho | ~2K | 0.93× | |
| 35 | Kansas | ~3K | 0.92× | |
| 36 | North Dakota | <1K | 0.92× | |
| 37 | Louisiana | ~5K | 0.91× | |
| 38 | Nebraska | ~2K | 0.91× | |
| 39 | West Virginia | ~2K | 0.91× | |
| 40 | Montana | ~1K | 0.91× | |
| 41 | Delaware | ~1K | 0.91× | |
| 42 | Arkansas | ~3K | 0.90× | |
| 43 | Maine | ~1K | 0.90× | |
| 44 | Iowa | ~3K | 0.89× | |
| 45 | Alaska | <1K | 0.88× | |
| 46 | Alabama | ~6K | 0.87× | |
| 47 | South Dakota | <1K | 0.87× | |
| 48 | Mississippi | ~3K | 0.85× | |
| 49 | South Carolina | ~6K | 0.84× | |
| 50 | New Mexico | ~2K | 0.82× |
The strongest cross-interests of the Phil Ivey audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Ahmed Hassan | Sports | 484.16× | ||
| 02 | Doyle Brunson | Sports | 409.44× | ||
| 03 | Michael Mizrachi | Sports | 401.64× | ||
| 04 | Liv Boeree | Fashion & Accessoires | 384.38× | ||
| 05 | Phil Hellmuth | Sports | 378.79× | ||
| 06 | Antonio Esfandiari | Sports | 363.29× | ||
| 07 | Erik Seidel | Sports | 354.66× | ||
| 08 | Jennifer Harman | Sports | 313.95× | ||
| 09 | Mike Matusow | Sports | 313.95× | ||
| 10 | Cerveza Poker | Topic | 310.20× | ||
| 11 | Chris Moneymaker | Sports | 307.83× | ||
| 12 | Darrelle Revis | Sports | 278.56× | ||
| 13 | Maria Ho | Sports | 270.92× | ||
| 14 | Gavin Smith (poker player) | Sports | 250.41× | ||
| 15 | Annie Duke | Sports | 241.05× | ||
| 16 | High Stakes Poker | Sports | 212.36× | ||
| 17 | Phil Laak | Sports | 158.09× | ||
| 18 | Daniel Negreanu | Sports | 153.08× | ||
| 19 | George Soros | Business & Career | 94.22× | ||
| 20 | Chris O'Dowd | Movies & TV | 83.10× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.72× | |
| Urban Lifestyle | OPEN | 1.52× | |
| Convenience Orientation | PREMIUM | 1.30× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.48× | |
| Social Media Usage | JOY | 0.63× | |
| Risk Appetite | THRILL | 0.65× |
Phil Ivey has an estimated audience of 441,925 people in United States, concentrated in California and Texas.
31.5% of Phil Ivey fans are female, 68.5% are male, with an average age of 36.7 years.
Phil Ivey fans show strongest brand affinity for Darrelle Revis (278.56×), Doyle Brunson (409.44×), and Phil Hellmuth (378.79×) over the country average.
Phil Ivey fans in United States are most concentrated in California (reach ~60K), Texas (reach ~40K), and New York (reach ~30K). These three regions account for the largest share of the active audience.
Beyond Phil Ivey itself, the audience over-indexes on Doyle Brunson (409.44×), Phil Hellmuth (378.79×), George Soros (94.22×), and Michael Mizrachi (401.64×) 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 Phil Ivey. 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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