Turnovers Box Elo (ball security)
Online player rating for keeping own-team turnovers down.
| Status | implemented | Short Name | TO Box Elo sec |
|---|---|---|---|
| Rating Style | impact | Where Shown | player pages, players leaderboard |
Model Card
Box: game totals spread by minutes; cannot separate teammates; for seasons without play-by-play. Sequential Box Elo on negative turnovers per 100 possessions. Positive values mean a player's minutes tend to improve team ball security.
Validation here is out of sample. From two weeks into each season, a model trained on earlier games predicts each following week without learning from that week. Predictions use the players' observed minutes; each point is the minutes-weighted predicted and actual rate in that player's games. When validation was computed, its source snapshot was verified against this published model revision.
Selected League / Season
Change league with the League selector at the top of the page.
Held-out player predictions
Plot Turnovers Box Elo (ball security) against any counting stat (one point per player; choose any season with a served list).
WNBA 2026: 182 players with at least 100 held-out minutes. Across players, predicted and actual correlate at r = 0.94 (weighted by held-out minutes). Across these player averages, weighted R² = 0.83 (relative to the weighted mean of actual held-out outcomes). Per held-out team game, squared error is 12.3% below predicting the league average. Each dot is a player (182 with the most held-out minutes are plotted; larger dots had more); on the dashed line, actual equals predicted. Select a dot for the player.
Held-out miss against playing time
Each dot is a player's actual minus predicted team minus turnovers per 100 possessions in the player's games against their held-out minutes (log scale). Orange points are the minutes-weighted mean miss of eight equal groups of players by playing time: a model that shrinks its low-minutes players too far, or not far enough, shows a slope.
Above prediction
| Player | Held-out minutes | Predicted | Actual |
|---|---|---|---|
| Cecilia Zandalasini | 944 | -14.3 | -13.2 |
| Azzi Fudd | 860 | -13.9 | -12.9 |
| Makayla Timpson | 796 | -16.0 | -15.1 |
| Kiah Stokes | 1236 | -14.2 | -13.2 |
| Janelle Salaun | 887 | -14.1 | -13.2 |
| A'ja Wilson | 1393 | -14.9 | -14.0 |
| Gabby Williams | 1295 | -14.2 | -13.3 |
| Veronica Burton | 1544 | -14.2 | -13.3 |
| Tiffany Hayes | 990 | -14.2 | -13.4 |
| Jackie Young | 1469 | -14.9 | -14.1 |
Below prediction
| Player | Held-out minutes | Predicted | Actual |
|---|---|---|---|
| Nyadiew Puoch | 664 | -17.0 | -18.0 |
| Isabelle Harrison | 759 | -16.3 | -17.2 |
| Maria Conde | 782 | -16.5 | -17.5 |
| Olivia Nelson-Ododa | 651 | -16.5 | -17.4 |
| Marina Mabrey | 787 | -16.5 | -17.3 |
| Diamond Miller | 857 | -16.3 | -17.0 |
| Leila Lacan | 840 | -16.5 | -17.1 |
| Laura Juskaite | 1000 | -16.4 | -17.1 |
| Charlisse Leger-Walker | 914 | -16.4 | -16.9 |
| Kiki Rice | 608 | -16.6 | -17.0 |
Lineup RAPM vs Box Elo, per season
Both forms of this family are shown side by side wherever a season publishes them; this table is information, not a switch. Each column is the held-out correlation of that form's predictions with the actual per-segment margin (fit before a date, scored on later segments); within two paired standard errors the two predict equally well. Correlations are small in absolute terms: a segment holds about one such event. Held-out correlation does not penalize a Box form for not telling teammates apart; the season links show each form's team share.
| League | Season | Lineup RAPM | Box Elo | Paired SE | Difference | Held-out segments |
|---|---|---|---|---|---|---|
| NCAAM | 2024-2025 | 0.061 | 0.059 | 0.0023 | +0.7 SE (within noise) | 73433 |
| NCAAM | 2015-2016 | 0.051 | 0.054 | 0.0031 | -0.7 SE (within noise) | 56157 |
| NCAAM | 2014-2015 | 0.055 | 0.050 | 0.0034 | +1.2 SE (within noise) | 56484 |
| NCAAM | 2013-2014 | 0.061 | 0.052 | 0.0027 | +3.2 SE | 59475 |
| NCAAM | 2012-2013 | 0.064 | 0.057 | 0.0029 | +2.4 SE | 53932 |
| NCAAM | 2011-2012 | 0.054 | 0.050 | 0.0021 | +1.9 SE (within noise) | 53101 |
| NCAAM | 2010-2011 | 0.048 | 0.043 | 0.0029 | +1.8 SE (within noise) | 51034 |
| NCAAM | 2009-2010 | 0.051 | 0.056 | 0.0026 | -1.9 SE (within noise) | 56900 |
| NBA | 2025-2026 | 0.056 | 0.038 | 0.0043 | +4.3 SE | 16855 |
Output Coverage
Rows in each model's current published run (or legacy rows where no run is selected).
| League | Season | Rows |
|---|---|---|
| WNBA | 2026 | 217 |
| NCAAW | 2026-2027 | 2463 |
| NCAAW | 2025-2026 | 4434 |
| NCAAW | 2024-2025 | 3730 |
| NCAAW | 2023-2024 | 3367 |
| NCAAW | 2021-2022 | 3967 |
| NCAAW | 2020-2021 | 3010 |
| NCAAW | 2018-2019 | 3661 |
| NCAAW | 2017-2018 | 3559 |
| NCAAW | 2015-2016 | 2214 |
| NCAAW | 2014-2015 | 1601 |
| NCAAW | 2013-2014 | 2117 |
| NCAAM | 2026-2027 | 2849 |
| NCAAM | 2025-2026 | 4582 |
| NCAAM | 2023-2024 | 3858 |
| NCAAM | 2022-2023 | 4200 |
| NCAAM | 2021-2022 | 3922 |
| NCAAM | 2020-2021 | 3226 |
| NCAAM | 2019-2020 | 3289 |
| NCAAM | 2018-2019 | 3619 |
| NCAAM | 2017-2018 | 3562 |
| NCAAM | 2016-2017 | 3689 |
| NCAAM | 2015-2016 | 3828 |
| NCAAM | 2014-2015 | 3760 |
| NCAAM | 2009-2010 | 3951 |
| NBA | 2026-2027 | 373 |
| NBA | 2024-2025 | 531 |
| NBA | 2023-2024 | 529 |
| NBA | 2022-2023 | 504 |
| NBA | 2021-2022 | 534 |
| NBA | 2020-2021 | 515 |
| NBA | 2019-2020 | 445 |