Giants.
The year-round intelligence desk for San Francisco.
01 / Record
The numbers, last window.
Official BETs
2
Executable
2
archive-backed
Resolved
2
Won
1
Lost
1
Win rate
50.0%
Brier (per-resolved): 0.2722Voided: 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=263.5%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 |
|---|---|---|---|---|---|
| Jonah Cox | 1 | 1 | 1 | 100% | 0.1362 |
| Jung Hoo Lee | 1 | 1 | 0 | 0% | 0.4081 |
04 / Mispriced
Largest edges that hit.
| Player | Market | Model | Sharp | Edge | Result |
|---|---|---|---|---|---|
| Jung Hoo Lee | 1+ Hits | 63.9% | 66.3% | -2.4pp | — |