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Based on data from the Semrush Traffic Analytics tool, this page reveals the most visited websites. We will be updating this list on a monthly basis, so you can keep track of all the market shifts and spot changes in user interest.
Most Visited Gambling Websites in India, Updated July 2024
Position | Website | Change | Visits | Pages / Visit | Bounce rate |
---|---|---|---|---|---|
1 | stake.com | – | 98,245,095 | 5.61 | 49.17% |
2 | lotterysambadresult.in | – | 9,810,511 | 1.84 | 43.98% |
3 | 1xbet.com | 1 | 2,573,520 | 51.52 | 16.6% |
4 | dafabet.com | 2 | 2,524,191 | 2.7 | 27.74% |
5 | nagalandstatelottery.in | – | 2,124,026 | 1.09 | 92.64% |
6 | gamdom.com | – | 1,546,960 | 2.98 | 34.24% |
7 | lottoland.asia | 4 | 1,349,794 | 6.61 | 55.81% |
8 | pokerbaazi.com | 3 | 1,054,963 | 1.24 | 81.26% |
9 | footballpredictions.net | – | 822,879 | 3.28 | 31.04% |
10 | kaizengaming.com | 12 | 766,108 | 3.38 | 19.05% |
11 | bc.game | 3 | 609,554 | 10.08 | 57.72% |
12 | 1 | 499,227 | 3.76 | 11.15% | |
13 | mega.io | 1 | 492,292 | 1.21 | 88.05% |
14 | sattamatka.win | 2 | 467,593 | 1.58 | 68.53% |
15 | rollbit.com | – | 394,923 | 5.79 | 17.83% |
16 | bet365.com | 3 | 393,499 | 2.1 | 45.7% |
17 | pocket52.com | 10 | 388,133 | 1.03 | 97.5% |
18 | caliente.mx | 11 | 356,322 | 4.27 | 24.06% |
19 | brazino777.com | 3 | 351,869 | 2.43 | 32.33% |
20 | feedinco.com | 11 | 320,379 | 1.38 | 72.08% |
Key Insights on Top Gambling Websites in India in July 2024
As of July 2024, stake.com is the most visited Gambling website in India, attracting 98.25M monthly visits. lotterysambadresult.in follows with 9.81M visits, and 1xbet.com records 2.57M visits.
In terms of user engagement, the average number of pages per visit across these sites is 5.69, with 1xbet.com leading at 51.52 pages per visit.
The average bounce rate is 48.32%, with pocket52.com having the highest at 97.5%.
And parimatch.com leads the way with the lowest bounce rate at 11.15%.
These insights come from the .Trends platform, enriched with extensive clickstream data.
Our AI algorithms analyze petabytes of information from a blend of proprietary and external data pools, reflecting the online activities of over 200 million anonymized users.
For more detailed information on our data-gathering and analysis process, please visit our information page here.