- Wins
- 0
- Expected wins
- 0.0
- Actual rate
- Not enough data
- Gap
- Not available
Is the OddsPadi engine actually working?
This scorecard uses settled picks that were genuinely published. Internal runs, watchlists, demo predictions and unsettled outcomes do not improve the numbers.
Is the daily system operating?
Provider sources: no provider response. Recorded provider gaps: 2.
What happened after publication?
Not enough dataaccuracy across 0 resolved win/loss picksConfidence versus reality
Each rung compares the model's average published chance with the actual win rate. Empty buckets remain visible instead of borrowing evidence from another range.
- Wins
- 0
- Expected wins
- 0.0
- Actual rate
- Not enough data
- Gap
- Not available
- Wins
- 0
- Expected wins
- 0.0
- Actual rate
- Not enough data
- Gap
- Not available
- Wins
- 0
- Expected wins
- 0.0
- Actual rate
- Not enough data
- Gap
- Not available
- Wins
- 0
- Expected wins
- 0.0
- Actual rate
- Not enough data
- Gap
- Not available
- Wins
- 0
- Expected wins
- 0.0
- Actual rate
- Not enough data
- Gap
- Not available
By sport
| Group | Settled | W–L–P | Accuracy | ROI | Brier |
|---|---|---|---|---|---|
| basketball | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| football | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| tennis | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
By league
No settled league sample
League rows will appear after public picks settle.
Where the engine performs
| Group | Settled | W–L–P | Accuracy | ROI | Brier |
|---|---|---|---|---|---|
| 1X2 | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| BTTS | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| Moneyline | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| Over/Under | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| Spread | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| Tennis winner | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
Low, medium and high
| Group | Settled | W–L–P | Accuracy | ROI | Brier |
|---|---|---|---|---|---|
| high | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| low | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| medium | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
Evidence quality bands
| Group | Settled | W–L–P | Accuracy | ROI | Brier |
|---|---|---|---|---|---|
| high | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| low | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| medium | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
| unscored | 0 | 0–0–0 | Not enough data | Not available | Not enough data |
Low is below 62%, medium is 62–80%, and high is 80%+. Older rows without retained scores remain unscored.
Did the published price beat the close?
Closing odds are not available yet
Published prices remain visible. CLV will appear only after a verified pre-kickoff closing snapshot is stored; no closing price is inferred.
What could make these numbers misleading?
Too few settled picks for a strong conclusion
0 settled public picks are available. Treat accuracy, ROI and calibration as early evidence until at least 30 settle.
Provider coverage has gaps
failed provider state with 2 recorded gaps. The engine does not substitute demo fixtures.
How these numbers are counted
Wins divided by wins plus losses. Pending, push and void results are excluded.
One unit per settled public pick; pushes return the unit and voids are excluded from stake.
Binary published-selection Brier score. Lower is better; pending, push and void results are excluded.
Always excluded- mock or demo predictions
- internal model runs
- watchlist-only candidates
- non-positive-edge analyses
- unsettled picks