The TipsGG Data Team tracked 19,192 tips from 403 unique sources over the past week. These numbers represent the breadth of predictive data flowing through the betting ecosystem daily. Our monitoring system operates 24/7, capturing performance metrics across football, CS:GO, Valorant, and other sports to identify which tipsters consistently outperform the bookmakers.
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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.
| Tipster | Sport | Total Bets | Win Rate (%) | Avg Odds | Total Profit | ROI (%) |
|---|---|---|---|---|---|---|
| Matt Law | Football | 12 | 58.3 | 2.75 | 9.13 | 76.04 |
| EGWxxxBOT | CS:GO | 103 | 65.0 | 2.46 | 72.87 | 70.75 |
| Thinking Mans Valorant | Valorant | 18 | 61.1 | 2.67 | 12.15 | 67.50 |
| Plat Chat VALORANT | Valorant | 17 | 58.8 | 2.71 | 11.40 | 67.06 |
| Wilkin | Valorant | 18 | 61.1 | 2.57 | 11.47 | 63.72 |
| BigFreeTips | Football | 38 | 55.3 | 3.16 | 18.78 | 49.42 |
| Kalshi | CS:GO | 270 | 65.2 | 2.03 | 98.66 | 36.54 |
| 2ez.bet Community Voting | CS:GO | 140 | 64.3 | 2.11 | 50.39 | 35.99 |
| Strafe Community Voting | CS:GO | 305 | 61.3 | 2.14 | 92.20 | 30.23 |
| Valve Rating System | CS:GO | 128 | 66.4 | 1.88 | 35.91 | 28.06 |
| Lord Prediction | Football | 16 | 50.0 | 2.39 | 3.50 | 21.85 |
| Alex MacQuoid | Football | 26 | 57.7 | 2.10 | 5.48 | 21.06 |
| HLTV Community Voting | CS:GO | 135 | 62.2 | 1.93 | 28.29 | 20.96 |
| Feedinco | Football | 253 | 60.1 | 2.07 | 45.14 | 17.84 |
| SportsGambler | CS:GO | 186 | 61.8 | 1.99 | 29.65 | 15.94 |
| xGscore | Football | 55 | 47.3 | 2.61 | 8.01 | 14.56 |
| Sofascore Community Voting | Football | 606 | 59.1 | 1.86 | 58.74 | 9.69 |
| Football Score Predictor | Football | 265 | 44.9 | 3.00 | 23.59 | 8.90 |
| HLTV Rating System | CS:GO | 125 | 56.8 | 1.96 | 7.75 | 6.20 |
| Bet Pro Tips | Football | 17 | 64.7 | 1.74 | 1.00 | 5.90 |
| ScoreBat | Football | 267 | 50.9 | 2.33 | 15.64 | 5.86 |
| betandskill | Football | 12 | 66.7 | 1.60 | 0.57 | 4.78 |
| bo3gg | CS:GO | 300 | 53.3 | 1.97 | 14.19 | 4.73 |
| tip724 | Football | 182 | 46.7 | 2.64 | 7.31 | 4.02 |
| 100percentwins | Football | 17 | 82.4 | 1.25 | 0.32 | 1.91 |
Matt Law leads the rankings with a 76.04% ROI across 12 football bets. His moderate bet count doesn’t diminish the result—this reflects skill over noise. At 2.75 average odds, he targets value-laden positions, not chalk picks.
EGWxxxBOT follows with 70.75% ROI on 103 CS:GO bets, generating 72.87 units of profit. The higher volume adds credibility; this isn’t a lucky run but a pattern of consistent edge. Want to understand how this works? Read about why accuracy doesn’t equal profit.
Valorant specialists dominate the middle tier. Thinking Mans Valorant, Plat Chat VALORANT, and Wilkin all hover around 61-67% ROI with tight bet portfolios (4 leagues each). These tipsters identify inefficient lines in esports betting, where smaller markets create opportunity.
Kalshi demonstrates that volume and profit aren’t mutually exclusive. With 270 bets, a 65.2% win rate, and 98.66 units of total profit, the ROI sits at 36.54%—still elite tier. Community voting systems like Strafe, 2ez.bet, and HLTV perform consistently in the 20-36% ROI range, showing that aggregated intelligence beats individual prediction in many cases.
At the tail end, tipsters with high win rates but low odds—like 100 percent wins at 82.4% accuracy on 1.25 average odds—generate minimal ROI. This illustrates a critical principle: understanding ROI calculation reveals why picking chalk matters less than finding value.