Singles vs Parlays
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| Type | Bets | Settled | Staked | Profit | ROI | Win % | Avg Legs |
|---|---|---|---|---|---|---|---|
| Singles | 107 | 68 | $206.5k | -$25.7k | -24.3% | 39.7% | 1.0 |
Neerajpujari
Tracking since Sep 17, 2026 · last bet 4d ago
Player DNA:
🏆 Top Sport: Tennis (103 bets)
|
🏟️ Top League: WTA Beijing, China Women Singles
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Total Bets
107
68 settled · 39 active
Settled Stake
$105.5k
$101.0k still open
Net Profit
-$25.7k
27W · 40L
(40.3% win rate)
ROI (settled)
-24.3%
$79.8k paid out
Singles vs Parlays
107 / 0
100.0% singles · 0.0% 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 | 103 | $202.3k | $79.6k | -$21.7k | -21.4% |
| Cricket | 4 | $4.2k | $205.00 | -$4.0k | -95.1% |
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 | WTA Beijing, China Women Singles | Tennis | 22 | $2.0k |
| 2 | ATP Shanghai, China Men Singles | Tennis | 18 | $2.6k |
| 3 | ATP Paris, France Men Singles | Tennis | 16 | $3.0k |
| 4 | WTA Seoul, Korea Republic Women Singles | Tennis | 7 | $671.43 |
| 5 | ATP Hangzhou, China Men Singles | Tennis | 6 | $750.00 |
| 6 | WTA Singapore, Singapore Women Singles | Tennis | 5 | $600.00 |
| 7 | ATP Tokyo, Japan Men Singles | Tennis | 4 | $2.0k |
| 8 | WTA Wuhan, China Women Singles | Tennis | 4 | $1.4k |
| 9 | ATP Basel, Switzerland Men Singles | Tennis | 4 | $2.5k |
| 10 | WTA Guangzhou, China Women Singles | Tennis | 2 | $3.0k |
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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