Liam Duckstein
The TipsGG Data Team tracked 15,186 tips from 344 unique sources over the past week. Our 24/7 monitoring system captured betting patterns across multiple sports, giving you a clear picture of which tipsters delivered real value to their followers. These rankings reflect actual market performance—not predictions or simulations.
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Tipster Leaderboards
This leaderboard ranks our top tipsters not just by total cash won, but by efficiency. The key metric here is ROI (Return on Investment), which tells you how much profit a tipster generates for every unit wagered. A high ROI means they are beating the bookies consistently, not just getting lucky with one massive bet. We also list their Average Odds alongside their Win Rate to reveal their style: notice how some ‘Sharpshooters’ maintain a high win rate on safer bets, while ‘Value Hunters’ might win less often but target much higher odds to generate massive profit. We have filtered this list to include only those with a significant number of bets to ensure these results are skill, not luck.
Want to understand how ROI truly works? Learn our transparent ROI calculation methods. Also worth reading: why accuracy doesn’t equal profit in sports betting.
| Tipster | Sport | Total Bets | Win Rate (%) | Avg Odds | Total Profit | ROI (%) |
|---|---|---|---|---|---|---|
| Mark Prezelj | Rainbow Six | 14 | 78.6 | 2.92 | +21.72 | 155.18% |
| EGWxxxBOT | CS:GO | 82 | 73.2 | 2.07 | +50.03 | 61.01% |
| Joshua Ojele | Football | 13 | 76.9 | 1.84 | +5.91 | 45.48% |
| Levi Rothermund | Football | 16 | 68.8 | 2.36 | +5.66 | 35.39% |
| Vedran Ostojic | Football | 13 | 53.8 | 2.19 | +4.48 | 34.46% |
| SoccerStats247 | Football | 29 | 55.2 | 2.28 | +7.30 | 25.18% |
| Bet FTW | Football | 23 | 47.8 | 3.03 | +5.66 | 24.59% |
| Strafe Community Voting | CS:GO | 309 | 66.3 | 2.03 | +68.56 | 22.19% |
| Kalshi | CS:GO | 235 | 66.4 | 1.81 | +48.43 | 20.61% |
| Football Predictions Community Voting | Football | 20 | 60.0 | 2.31 | +3.86 | 19.28% |
| Shubham Dupare | Football | 12 | 50.0 | 2.40 | +2.21 | 18.42% |
| HLTV Community Voting | CS:GO | 114 | 73.7 | 1.68 | +20.90 | 18.33% |
| 365Scores | Football | 47 | 68.1 | 1.82 | +8.14 | 17.32% |
| SportsGambler | League of Legends | 142 | 62.0 | 2.01 | +24.49 | 17.24% |
| Alex MacQuoid | Football | 15 | 80.0 | 1.59 | +2.50 | 16.67% |
| Siege Community | Rainbow Six | 15 | 73.3 | 1.62 | +2.31 | 15.42% |
| Opta Analyst | Football | 34 | 67.6 | 1.85 | +4.74 | 13.94% |
| Betstudy | Football | 48 | 58.3 | 2.66 | +6.19 | 12.90% |
| Peter Pedroncelli | Football | 16 | 62.5 | 2.11 | +1.97 | 12.30% |
| Bet Pro Tips | Football | 22 | 63.6 | 2.05 | +2.67 | 12.13% |
| LeagueLane | Football | 29 | 58.6 | 1.88 | +3.15 | 10.88% |
| Oddspedia | Football | 31 | 71.0 | 1.66 | +3.00 | 9.68% |
| bo3gg | CS:GO | 290 | 61.4 | 1.88 | +24.07 | 8.30% |
| 2ez.bet Community Voting | CS:GO | 92 | 60.9 | 1.79 | +7.16 | 7.79% |
| Eduardo Almeida | Football | 16 | 50.0 | 2.26 | +1.13 | 7.05% |
What This Data Means
Mark Prezelj dominates this week with a 155.18% ROI, winning 11 of 14 bets at an average of 2.92 odds. This isn’t just volume—his selective approach proves high-odds plays can work when backed by sharp analysis. EGWxxxBOT brings consistency with 82 bets yielding 61.01% ROI, showing that moderate odds with strong accuracy scales better than chasing long shots.
In football specifically, Joshua Ojele ranks third overall with a 45.48% ROI on 13 bets. His 76.9% win rate at 1.84 average odds shows disciplined selections on shorter priced bets. Compare this to Bet FTW, who targets 3.03 average odds but wins just 47.8% of bets—still profitable at 24.59% ROI, yet riskier than Ojele’s approach.
Community voting sources like Strafe Community Voting (309 bets, 22.19% ROI) and Kalshi (235 bets, 20.61% ROI) prove that aggregated wisdom works when volume is substantial. Their high bet counts filter out noise and reveal genuine edge.