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Yankees.

The year-round intelligence desk for New York.

Window7 d14 d30 d60 d90 d· 9 official BETs released
01 / Record

The numbers, last window.

Official BETs
9
Executable
9
archive-backed
Resolved
9
Won
4
Lost
5
Win rate
44.4%
Brier (per-resolved): 0.2694Voided: 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=1
    59.7%
    model
    0.0%
    realised
  • 60–70%n=8
    62.5%
    model
    50.0%
    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.

PlayerOfficialResolvedWonWin rateBrier
Ben Rice33267%0.2143
Cody Bellinger33133%0.3035
Luis García Jr.22150%0.2425
Trent Grisham1100%0.3857
04 / Mispriced

Largest edges that hit.

PlayerMarketModelSharpEdgeResult
Cody Bellinger1+ Hits59.7%61.6%-1.9pp—
Ben Rice1+ Hits60.4%61.7%-1.3pp—
Ben Rice1+ Hits61.2%60.1%+1.1ppWON
Luis García Jr.1+ Hits60.9%61.6%-0.6pp—
Ben Rice1+ Hits64.3%63.9%+0.4ppWON