A data profile of the people who buy, follow and care about Sports games in South Africa — modelled from more than twelve digital signal sources. Sports games has an estimated audience of 885,067 people in South Africa.
Sports games has an estimated audience of 885,067 people in South Africa. 42.6% are female, 57.4% are male, average age 35.7. Top brand affinities: Racing games, Bologna F.C. 1909, Family car, Simulation games, Strategy games.
Top brand affinities include Racing games, Bologna F.C. 1909, Family car, with strongest over-indexing on Racing games (2.89× the country average).
Demographically, the Sports games audience skews more male with an average age of 35.7, and over-indexes on personality traits such as Early Adopter Mentality, Luxury Orientation.
The typical Sports games fan in South Africa is more male, around 35.7 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Racing games.
The key figures that characterise the Sports games profile in South Africa.
42.6% are female, 57.4% are male, average age 35.7.
| Metric | Value |
|---|---|
| Female | 42.6% |
| Male | 57.4% |
| Average age | 35.7 |
| Estimated audience size | 885,067 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 26% | |
| 20-29 | 27% | |
| 30-39 | 20% | |
| 40-49 | 11% | |
| 50+ | 17% |
of the worldwide Sports games audience comes from South Africa.
| Country | Share |
|---|---|
| United States | 16.9% |
| India | 7.5% |
| Italy | 4.6% |
The strongest cross-interests of the Sports games audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Bologna F.C. 1909 | Sports | 4.05× | ||
| 02 | Tiger Woods | Sports | 3.63× | ||
| 03 | Racing games | Games | 2.89× | ||
| 04 | Simulation games | Games | 2.88× | ||
| 05 | West Ham United F.C. | Sports | 2.68× | ||
| 06 | Strategy games | Games | 2.67× | ||
| 07 | Max Verstappen | Sports | 2.52× | ||
| 08 | Carcare | Cars & Mobility | 2.52× | ||
| 09 | PGA Tour | Sports | 2.25× | ||
| 10 | Full-size car | Cars & Mobility | 2.24× | ||
| 11 | Atlético Madrid | Sports | 2.13× | ||
| 12 | Aston Villa F.C. | Sports | 2.06× | ||
| 13 | Lewis Hamilton | Sports | 1.95× | ||
| 14 | Family car | Cars & Mobility | 1.89× | ||
| 15 | Role-playing games | Games | 1.86× | ||
| 16 | City car | Cars & Mobility | 1.82× | ||
| 17 | A.C. Milan | Sports | 1.76× | ||
| 18 | Casino games | Games | 1.73× | ||
| 19 | Inter Milan | Sports | 1.55× | ||
| 20 | TV game shows | Movies & TV | 1.55× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.36× | |
| Luxury Orientation | PREMIUM | 1.16× | |
| Career Orientation | POWER | 1.09× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.55× | |
| Creativity | OPEN | 0.60× | |
| Community Orientation | OPEN | 0.67× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in South Africa who actively search for Sports games. 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 South Africa. 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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