November’s tipster rankings are in. We crunched the data – 73000 predictions from 500+ sources – then filtered for consistency. Only those with 20+ bets made the cut. The table below shows raw performance: wins, profit, ROI per bet. No fluff. Just what the TipsGG Data Team pulled from verified bookmaker odds and real staked outcomes.
Profit margins here are net. Calculated after accounting for lost bets. ROI per bet? That’s the real tell – how much each single wager returned on average. A 0.20 ROI means 20 cents profit per dollar bet. Simple.
| Rank | Tipster | Bets | Wins | Total Profit (units) | Win % | ROI per Bet |
|---|---|---|---|---|---|---|
| 1 | Olesya Samkina | 84 | 54 | 17.30 | 64.29% | 0.206 |
| 2 | DataSkrive | 130 | 96 | 13.30 | 73.85% | 0.102 |
| 3 | Opta Analyst | 340 | 191 | 13.00 | 56.18% | 0.038 |
| 4 | Eddie Kline | 61 | 45 | 11.10 | 73.77% | 0.182 |
| 5 | Buli4Fans | 33 | 19 | 10.20 | 57.58% | 0.309 |
| 6 | Chris Sutton | 28 | 18 | 9.90 | 64.29% | 0.354 |
| 7 | Aishat Akanni | 24 | 17 | 9.50 | 70.83% | 0.396 |
| 8 | Dimers | 214 | 152 | 8.40 | 71.03% | 0.039 |
| 9 | Paulo Matuck | 30 | 18 | 8.00 | 60.00% | 0.267 |
| 10 | KickOff | 660 | 348 | 7.80 | 52.73% | 0.012 |
| 11 | Sebastian Sternik | 34 | 20 | 7.80 | 58.82% | 0.229 |
| 12 | Meczyki | 63 | 44 | 7.50 | 69.84% | 0.119 |
| 13 | Oleksandr Mykhailiuk | 24 | 16 | 7.50 | 66.67% | 0.313 |
| 14 | Leonardo Rangel | 49 | 28 | 7.00 | 57.14% | 0.143 |
| 15 | SoccerVista | 621 | 287 | 6.40 | 46.22% | 0.010 |
| 16 | Jur Dava | 21 | 15 | 6.30 | 71.43% | 0.300 |
| 17 | Wettpropheten | 24 | 14 | 5.90 | 58.33% | 0.246 |
| 18 | Nicokart | 33 | 18 | 5.70 | 54.55% | 0.173 |
| 19 | Steve Ashfield | 25 | 21 | 5.70 | 84.00% | 0.228 |
| 20 | Devesh Jaganath | 23 | 20 | 5.50 | 86.96% | 0.239 |
Notes and Observations by TipsGG
Olesya Samkina took the top spot. Not because of volume – 84 bets is modest – but because of efficiency. A 20.6% ROI per bet is absurdly high for sustained play. She focused on women’s football and lower-tier European leagues where lines were softer. We think this is repeatable.
DataSkrive and Opta Analyst prove volume isn’t everything. Both cracked the top 3 but their ROI per bet drops sharply when scaled. Dimers made 214 picks for just 8.40 units profit. That’s exhausting work for minimal gain. Meanwhile Aishat Akanni and Chris Sutton did more with fewer bets – hitting near 40% ROI with surgical precision.
The outliers? Devesh Jaganath with an 86.96% win rate on 23 bets. Impressive but unsustainable at scale. KickOff and SoccerVista churned out hundreds of predictions – useful for data trends, less so for your wallet. Their ROI hovers around 1% per bet. Honestly? Not worth the time unless you’re betting thousands per pick.
November’s lesson: Fewer, smarter bets win. The top 5 tipsters averaged 47 bets. The bottom 5? 240. Quality over quantity isn’t just a saying – it’s the only way to stay profitable long-term.
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