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Stage 2: VORP-based dynasty valuation with positional replacement levels
Conformal calibration via MAPIE on held-out calibration sets.
T+1 Results (Next Season)
Stat
RMSE
MAE
Floor Cal
Ceil Cal
PTS
3.276
2.534
79.2%
69.6%
REB
1.329
0.980
78.5%
77.8%
AST
0.873
0.615
81.7%
79.1%
STL
0.307
0.228
81.2%
78.9%
BLK
0.249
0.169
80.3%
83.7%
TOV
0.451
0.341
80.8%
80.2%
FGM
1.153
0.898
77.5%
74.5%
FGA
2.418
1.867
73.1%
74.5%
FTM
0.718
0.517
83.7%
79.0%
FTA
0.872
0.632
82.3%
79.7%
3PM
0.477
0.348
85.7%
86.2%
3PA
1.173
0.873
79.2%
81.6%
MP
6.058
4.659
87.5%
80.8%
G
23.675
18.612
87.8%
90.8%
T+2 Results (2 Seasons Out)
Stat
RMSE
MAE
Floor Cal
Ceil Cal
PTS
5.426
4.533
89.0%
90.2%
REB
2.149
1.715
88.6%
89.9%
AST
1.456
1.159
89.2%
90.0%
MP
10.321
8.303
89.1%
90.0%
T+3 Results (3 Seasons Out)
Stat
RMSE
MAE
Floor Cal
Ceil Cal
PTS
6.591
5.621
87.0%
91.2%
REB
2.329
1.908
86.9%
91.4%
AST
1.557
1.258
90.7%
88.0%
MP
11.372
9.276
87.3%
91.4%
vs Baseline (T+1 Only, LightGBM-only, Feb 27 2025)
Stat
Baseline MAE
Current MAE
Delta
PTS
2.246
2.534
+0.288
REB
0.894
0.980
+0.086
AST
0.577
0.615
+0.038
MP
4.039
4.659
+0.620
Per-Fold PTS T+1
Year
RMSE
MAE
Floor Cal
Ceil Cal
2017
3.260
2.527
83.4%
65.2%
2018
3.383
2.558
79.4%
74.1%
2019
3.363
2.608
76.6%
67.8%
2020
3.451
2.657
84.7%
71.6%
2021
3.089
2.382
68.9%
75.6%
2022
3.392
2.654
68.1%
75.7%
2023
3.206
2.520
84.2%
69.8%
2024
2.961
2.359
81.5%
68.1%
2025
3.549
2.713
81.2%
67.9%
2026
3.103
2.361
83.7%
59.7%
Notes
Calibration target: Floor and ceiling should both be ~90% for proper 80% prediction intervals
T+1 calibration is too tight: Floor avg 81.3%, ceiling avg 79.7% — model is overconfident at 1-year horizon
T+2/T+3 calibration is good: Both ~89-91%, right on target
Games (G) is the weakest stat: MAE ~19 games due to inherent injury unpredictability
Baseline comparison: Current model trades slightly worse point-prediction accuracy for multi-horizon capability (14 stats x 5 horizons vs baseline's 4 stats x 1 horizon)
Run date: March 1, 2026
About
NBA dynasty fantasy projection model using LightGBM, Transformer embeddings, and VORP-based valuation across 10 seasons of walk-forward validation.