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Rays.

The year-round intelligence desk for Tampa Bay.

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
3
Lost
6
Win rate
33.3%
Brier (per-resolved): 0.3221Voided: 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=4
    55.6%
    model
    75.0%
    realised
  • 60–70%n=5
    62.3%
    model
    0.0%
    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
Richie Palacios33133%0.3261
Taylor Walls22150%0.2790
Cedric Mullins111100%0.1894
Jonny DeLuca1100%0.3902
Jorge Mateo1100%0.3720
Nick Fortes1100%0.4106
04 / Mispriced

Largest edges that hit.

PlayerMarketModelSharpEdgeResult
Cedric Mullins1+ Hits56.5%51.6%+4.8ppWON
Taylor Walls1+ Hits53.3%48.8%+4.5ppWON
Richie Palacios1+ Hits54.5%51.2%+3.4ppWON