dfsforge / WNBA forecasts / Lauren Betts rebounds

Lauren Betts: reboundsFITTED MODEL

C · WSH · WNBA · baseline 3.5/game (2026, 20 games)
2.9
Median
0.2-7.5
80% range
1.5-5.2
50% range
9.3
Ceiling (p95)

Outcome distribution

0.22.97.5
Shaded: the 80% range. Dashed lines: p10 / median / p90.

Chance of reaching

reboundsProbability
2.0+67%
4.0+36%
6.0+18%
8.0+8%
Model receipt: on the held-out season, across 279 C rebounds games, our 80% range covered 83.2% 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: Lauren Betts 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