From state: early(inn1-3) / .6-.8
Outcome frequency 65.17% | Forecast observations 2,702
To state: mid(inn4-6) / .6-.8
Outcome frequency 76.64% | Forecast observations 2,449
Difference +11.47 pp | Minimum support 2,449
Calibration / State contrasts
Select a sport and adjacent time buckets to inspect the published outcome-frequency difference while keeping both underlying populations in view.
Reading trail
Read first: Read blowout timing before comparing published adjacent state buckets.
Next question: How much independent support remains when observations repeat within a game?
Read the analysis: When a lead lasts (sources regenerated)
These are BETWEEN-BUCKET differences in outcome frequency, not transition frequencies and not paired movements within individual games. Holding the forecast band fixed still does not follow identical games across time buckets.
From state: early(inn1-3) / .6-.8
Outcome frequency 65.17% | Forecast observations 2,702
To state: mid(inn4-6) / .6-.8
Outcome frequency 76.64% | Forecast observations 2,449
Difference +11.47 pp | Minimum support 2,449
From state: early(inn1-3) / .2-.4
Outcome frequency 24.01% | Forecast observations 1,033
To state: mid(inn4-6) / .2-.4
Outcome frequency 17.94% | Forecast observations 2,285
Difference -6.07 pp | Minimum support 1,033
From state: early(inn1-3) / .4-.6
Outcome frequency 48.82% | Forecast observations 5,754
To state: mid(inn4-6) / .4-.6
Outcome frequency 50.89% | Forecast observations 2,468
Difference +2.07 pp | Minimum support 2,468
| From state | Outcome frequency | Forecast observations | To state | Outcome frequency | Forecast observations | Difference | Minimum support |
|---|---|---|---|---|---|---|---|
| early(inn1-3) / .6-.8 | 65.17% | 2,702 | mid(inn4-6) / .6-.8 | 76.64% | 2,449 | +11.47 pp | 2,449 |
| early(inn1-3) / .2-.4 | 24.01% | 1,033 | mid(inn4-6) / .2-.4 | 17.94% | 2,285 | -6.07 pp | 1,033 |
| early(inn1-3) / .4-.6 | 48.82% | 5,754 | mid(inn4-6) / .4-.6 | 50.89% | 2,468 | +2.07 pp | 2,468 |
Source fields: public/data/showcase/why_attribution.json -> sports.<sport>.transitions[] -> from.time, from.prob, from.mean_y, from.n, to.time, to.prob, to.mean_y, to.n, winprob_delta, min_support_n.