Results WNBA
Every pick, timestamped and public.
| Date | Sport | Match | Market | Side | Line | Price | Final | Result |
|---|---|---|---|---|---|---|---|---|
|
17/09
14:02
|
WNBA | WAS @ CHI | TOTALS | OVER | 163.0 | 1.920 | - | WIN |
|
17/09
14:02
|
WNBA | LAS @ DAL | TOTALS | OVER | 178.0 | 1.920 | - | LOSE |
|
17/09
14:02
|
WNBA | LVA @ SEA | TOTALS | OVER | 173.5 | 1.840 | - | WIN |
|
30/08
14:02
|
WNBA | CON @ DAL | TOTALS | OVER | 165.5 | 1.830 | - | WIN |
|
29/08
18:00
|
WNBA | TOR @ PHO | TOTALS | OVER | 175.0 | 1.940 | - | LOSE |
|
26/08
14:02
|
WNBA | GSV @ CON | TOTALS | OVER | 152.0 | 1.920 | - | WIN |
|
26/08
14:02
|
WNBA | TOR @ SEA | TOTALS | OVER | 175.5 | 1.910 | - | LOSE |
|
25/08
14:02
|
WNBA | CHI @ CON | TOTALS | OVER | 169.5 | 1.860 | - | LOSE |
|
25/08
14:02
|
WNBA | WAS @ PHO | TOTALS | OVER | 166.5 | 1.860 | - | WIN |
|
24/08
14:02
|
WNBA | GSV @ MIN | TOTALS | OVER | 157.0 | 1.850 | - | LOSE |
|
23/08
14:02
|
WNBA | SEA @ DAL | TOTALS | OVER | 173.0 | 1.880 | - | LOSE |
|
22/08
14:02
|
WNBA | CON @ LAS | TOTALS | OVER | 169.5 | 1.880 | - | LOSE |
|
21/08
14:02
|
WNBA | MIN @ WAS | TOTALS | OVER | 162.5 | 1.870 | - | WIN |
|
20/08
14:02
|
WNBA | ATL @ LAS | TOTALS | OVER | 179.5 | 1.920 | - | WIN |
|
19/08
14:02
|
WNBA | TOR @ WAS | TOTALS | OVER | 167.5 | 1.920 | - | WIN |
|
18/08
14:02
|
WNBA | LAS @ CON | TOTALS | OVER | 169.0 | 1.880 | - | LOSE |
|
15/08
14:02
|
WNBA | NYL @ CON | TOTALS | OVER | 170.5 | 1.830 | - | LOSE |
|
12/08
14:02
|
WNBA | CHI @ GSV | TOTALS | OVER | 167.5 | 1.850 | - | LOSE |
|
09/08
14:02
|
WNBA | PHO @ WAS | TOTALS | OVER | 169.0 | 1.910 | - | WIN |
|
03/08
14:02
|
WNBA | SEA @ NYL | TOTALS | OVER | 183.5 | 1.880 | - | LOSE |
|
29/07
18:52
|
WNBA | GSV @ PHO | TOTALS | OVER | 157.0 | 1.930 | - | WIN |
|
22/07
14:02
|
WNBA | PHO @ LAS | TOTALS | OVER | 178.5 | 1.950 | - | LOSE |
|
22/07
14:02
|
WNBA | CHI @ NYL | TOTALS | OVER | 179.5 | 1.930 | - | WIN |
|
22/07
14:02
|
WNBA | DAL @ POR | TOTALS | OVER | 175.5 | 1.860 | - | WIN |
|
18/07
18:52
|
WNBA | WAS @ GSV | TOTALS | OVER | 149.5 | 1.900 | - | LOSE |
|
17/07
14:02
|
WNBA | ATL @ TOR | TOTALS | OVER | 182.0 | 1.880 | - | WIN |
|
17/07
14:02
|
WNBA | CON @ PHO | TOTALS | OVER | 165.0 | 1.900 | - | WIN |
|
15/07
18:52
|
WNBA | SEA @ CHI | TOTALS | OVER | 172.0 | 1.900 | - | WIN |
|
14/07
14:02
|
WNBA | WAS @ TOR | TOTALS | OVER | 172.5 | 1.890 | - | LOSE |
|
10/07
14:02
|
WNBA | DAL @ TOR | TOTALS | OVER | 178.5 | 1.870 | - | WIN |
|
08/07
18:52
|
WNBA | IND @ LAS | TOTALS | OVER | 183.0 | 1.920 | - | WIN |
|
06/07
18:52
|
WNBA | SEA @ LAS | TOTALS | OVER | 174.5 | 1.920 | - | LOSE |
|
05/07
18:50
|
WNBA | IND @ LVA | TOTALS | UNDER | 181.0 | 1.880 | - | WIN |
|
04/07
18:50
|
WNBA | GSV @ ATL | TOTALS | UNDER | 163.0 | 1.940 | - | LOSE |
|
03/07
18:52
|
WNBA | MIN @ NYL | TOTALS | OVER | 174.0 | 1.920 | - | WIN |
|
03/07
18:51
|
WNBA | MIN @ NYL | TOTALS | UNDER | 174.0 | 1.900 | - | LOSE |
|
02/07
18:51
|
WNBA | ATL @ WAS | TOTALS | OVER | 166.5 | 1.910 | - | LOSE |
|
02/07
18:51
|
WNBA | SEA @ PHO | TOTALS | UNDER | 168.0 | 1.890 | - | WIN |
|
28/06
18:52
|
WNBA | POR @ WAS | TOTALS | OVER | 167.5 | 1.940 | - | WIN |
|
24/06
14:02
|
WNBA | POR @ CHI | TOTALS | OVER | 171.5 | 1.970 | - | WIN |
Why we're different
| ProbWin | Action Network | Dimers | BetQL | |
|---|---|---|---|---|
| Full public results | ✓ | — | — | — |
| Losses visible (no pick ever deleted) | ✓ | — | — | — |
| AI-written analysis per game | ✓ | — | — | — |
| Closing Line Value (CLV) | ✓ | — | — | — |
| Verifiable 2+ year history | ✓ | — | 1 season | — |
Factual comparison based on publicly available information from each platform (April 2026).
WNBA Predictions Verified by AI
ProbWin uses advanced machine learning models to analyze WNBA games (totals and spreads). Our algorithm processes thousands of statistical variables to identify positive-value opportunities.
Every prediction is analyzed, documented, timestamped and published with its real outcome — win or loss. The full history is available above, with no pick ever deleted: that is our commitment to total transparency.
Our Methodology
- Real-time data: team statistics, player performance, match conditions
- Machine learning: automated learning algorithms trained on years of historical data
- Edge betting: we only bet when our model detects a significant advantage (>5%)
- Full transparency: every prediction is timestamped and results are published
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