Singles vs Parlays
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| Type | Bets | Settled | Staked | Profit | ROI | Win % | Avg Legs |
|---|---|---|---|---|---|---|---|
| Parlays | 7 | 7 | $785.89 | -$186.63 | -23.7% | 57.1% | 4.6 |
| Singles | 23 | 23 | $3.0k | -$3.16 | -0.1% | 87.0% | 1.0 |
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Tracking since May 20, 2026 · last bet 14h ago · strongest in Multi-Sport ($51.30)
Player DNA:
🏆 Top Sport: Tennis (28 bets)
|
🏟️ Top League: French Open Men Singles
|
Total Bets
30
30 settled · 0 active
Settled Stake
$3.8k
- still open
Net Profit
-$189.79
24W · 6L
(80.0% win rate)
ROI (settled)
-5.0%
$3.6k paid out
Singles vs Parlays
23 / 7
76.7% singles · 23.3% parlays
Cumulative Profit / Loss (last 90 days)
Performance by Sport
Where they're up and where they're down · click a row to filter · click a column to sort
| Sport | Bets | Staked | Paid | Profit | ROI |
|---|---|---|---|---|---|
| Tennis | 28 | $3.5k | $3.3k | -$243.81 | -6.9% |
| Multi-Sport | 1 | $142.00 | $193.30 | $51.30 | +36.1% |
| Basketball | 1 | $135.78 | $138.50 | $2.72 | +2.0% |
Most-Bet Tournaments
Top 10 leagues by bet count · click a row to filter · click a column to sort
| # | Tournament | Sport | Bets | Avg Stake |
|---|---|---|---|---|
| 1 | French Open Men Singles | Tennis | 6 | $301.41 |
| 2 | ATP Hangzhou, China Men Singles | Tennis | 4 | $146.01 |
| 3 | ATP Chengdu, China Men Singles | Tennis | 3 | $100.00 |
| 4 | WTA Seoul, Korea Republic Women Singles | Tennis | 2 | $239.23 |
| 5 | WTA Singapore, Singapore Women Singles | Tennis | 2 | $121.37 |
| 6 | WTA Toronto, Canada Women Singles | Tennis | 2 | $100.48 |
| 7 | WTA Beijing, China Women Singles | Tennis | 2 | $100.59 |
| 8 | ATP Shanghai, China Men Singles | Tennis | 2 | $250.52 |
| 9 | ATP Challenger San Diego 2, USA, Men Singles | Tennis | 2 | $100.00 |
| 10 | WTA Sao Paulo, Brazil Women, Singles | Tennis | 1 | $100.00 |
All Bets
Click row to expand and see legs · click a row to expand legs
| When | Sport | Type | Stake | Payout | Profit | Status | Open | |
|---|---|---|---|---|---|---|---|---|
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