dfsforge / WNBA forecasts / Kayla Thornton rebounds

Kayla Thornton: reboundsFITTED MODEL

F · GS · WNBA · baseline 5.2/game (2026, 19 games)
5.1
Median
1.4-9.1
80% range
3.0-7.2
50% range
10.6
Ceiling (p95)

Outcome distribution

1.45.19.1
Shaded: the 80% range. Dashed lines: p10 / median / p90.

Chance of reaching

reboundsProbability
2.0+85%
4.0+62%
6.0+39%
8.0+18%
10.0+7%
Model receipt: on the held-out season, across 658 F rebounds games, our 80% range covered 81.5% of actual outcomes (target 80%).
Baseline is the 2026 per-game average; the distribution shape is learned per position and per production level from historical game logs. When the weekly slate model is live the baseline switches to the weekly line.
More: Kayla Thornton player page · all WNBA forecasts
Forecasts are probability distributions from dfsforge's variance model, fitted on historical game logs and validated on a held-out season - the coverage number printed above is that holdout result, not a training-set fit. Research output, not advice. Open the app · Accuracy receipts