Dodgers.
The year-round intelligence desk for Los Angeles.
01 / Record
The numbers, last window.
Official BETs
6
Executable
6
archive-backed
Resolved
6
Won
3
Lost
3
Win rate
50.0%
Brier (per-resolved): 0.2750Voided: 0
02 / Calibration
Model probability vs realised rate.
- 0–20%n=0—model—realised
- 20–30%n=0—model—realised
- 30–40%n=0—model—realised
- 40–50%n=0—model—realised
- 50–60%n=0—model—realised
- 60–70%n=664.8%model50.0%realised
- 70–80%n=0—model—realised
- 80–90%n=0—model—realised
- 90–100%n=0—model—realised
When the model says X%, the event happened Y% of the time. Closer the two columns sit, the better calibrated the model is at that confidence band.
03 / Players
By sample size.
| Player | Official | Resolved | Won | Win rate | Brier |
|---|---|---|---|---|---|
| Mookie Betts | 3 | 3 | 3 | 100% | 0.1261 |
| Andy Pages | 1 | 1 | 0 | 0% | 0.4297 |
| Freddie Freeman | 1 | 1 | 0 | 0% | 0.4011 |
| Teoscar Hernández | 1 | 1 | 0 | 0% | 0.4410 |
04 / Mispriced
Largest edges that hit.
| Player | Market | Model | Sharp | Edge | Result |
|---|---|---|---|---|---|
| Mookie Betts | 1+ Hits | 66.9% | 66.3% | +0.6pp | WON |
| Mookie Betts | 1+ Hits | 62.9% | 62.5% | +0.3pp | WON |