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Blask X FindMoreAfrica: Top 20 African Gambling Brands: Q4 2025 Ranking

Blask X FindMoreAfrica: Top 20 African Gambling Brands: Q4 2025 Ranking

Blask, together with Find More Africa, compiled the Top 20 African gambling operators: a list of the largest cross-African brands, ranked by their total Blask Index for Q4 2025 (October–December).

Blask Top-20 ranking (Q4 2025)

Brand nameNumber of countriesBlask Index in Q4Blask Index in Q3QoQ
1betPawa27260 681 877205 730 75226,71 %
2Betway43234 141 288178 281 17831,33 %
3SportyBet1973 597 58856 977 40129,16 %
4Hollywoodbets764 767 73559 027 2769,72 %
5Betika1746 581 11840 176 01015,94 %
6Bet9ja341 523 82237 014 25512,18 %
7Premier Bet2734 652 95830 913 76412,09 %
8Elephant Bet629 277 44027 236 1977,49 %
9bet223119 190 88413 941 45137,65 %
101xBet5718 976 21016 581 15414,44 %
11NgeNge117 342 30521 711 337-20,12 %
12SportPesa1015 008 03913 705 7589,5 %
13BetKing714 807 23712 680 55716,77 %
14Lotto Star114 648 68413 687 2387,02 %
15Fortebet514 179 94714 290 494-0,77 %
16DashBet111 949 18112 817 195-6,77 %
17Congo Bet211 367 3648 487 14533,93 %
18GameMania111 184 84613 257 937-15,63 %
19888bet59 584 9559 639 250-0,56 %
20Odibets28 945 24111 983 889-25,35 %

What the quarter shows

Conclusion 1: betPawa and Betway account for roughly half of the total Blask Index within the Top 20. Yet maximum geographic footprint does not automatically translate into leadership: 1xBet, present in 57 countries, sits only in 10th place, while betPawa active in 27 markets leads the ranking on demand.

Conclusion 2: Every brand in the top ten posts positive QoQ. That matters: the market could have “grown” merely through reshuffling inside the Top 20, but here the lift is visible across most of the biggest names at the same time.

Conclusion 3: The lower end of the ranking behaves differently. Volatility and drawdowns show up there first, often in demand signals rather than in the public rhetoric of brands.

Gainers: who grew the most (QoQ)

Position in Top 20Brand nameNumber of countriesBlask Index in Q4Blask Index in Q3QoQ
9bet223119 190 88413 941 45137,65 %
17Congo Bet211 367 3648 487 14533,93 %
2Betway43234 141 288178 281 17831,33 %
3SportyBet1973 597 58856 977 40129,16 %
1betPawa27260 681 877205 730 75226,71 %


In the growth leaders, you see both heavyweights and narrowly-scoped brands.

Conclusion 1: Across this group of five, the average quarter-over-quarter increase is roughly one-third.

Conclusion 2: All three top operators (betPawa, Betway, and SportyBet) appear among the gainers, each with growth above 25%.

Conclusion 3: Country count is not a proxy for speed. The biggest % jumps belong to operators present in just one or two markets (bet223 and Congo Bet).

Losers: who lost the most (QoQ)

Position in Top 20Brand nameNumber of countriesBlask Index in Q4Blask Index in Q3QoQ
20Odibets28 945 24111 983 889-25,35 %
11NgeNge117 342 30521 711 337-20,12 %
18GameMania111 184 84613 257 937-15,63 %
16DashBet111 949 18112 817 195-6,77 %
15Fortebet514 179 94714 290 494-0,77 %

Conclusion 1: The downside is uneven: from a near-flat dip at Fortebet to a loss of roughly a quarter of quarterly volume at Odibets.

Conclusion 2: A pattern still emerges: sharper declines appear more often among brands with a narrow geographic footprint. This is not proof of causality, but the practical takeaway is straightforward: when the number of markets is limited, any shift in conditions can become decisive.

Methodology

How the ranking was calculated

Blask reviewed all operators active across the African countries supported by Blask, calculated each brand’s total Blask Index metric for Q4 2025 (October–December), ranked brands in descending order, and then compared Q4 against Q3 2025 to capture quarter-over-quarter momentum. QoQ (quarter-over-quarter) is the percentage change from one quarter to the previous quarter.

What Blask Index is

Blask Index is an operational demand indicator for iGaming: it measures the volume of market interest in a given country and the portion of that interest attributed to a brand over a selected period. The metric is built from open behavioral signals that are converted into a comparable scale: data is normalized, time series are smoothed, and noise and one-off distortions are reduced, so brand and period comparisons are not driven by random fluctuations. Practically, it functions as a “market pulse” that can be summed by quarter and compared quarter-to-quarter.

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