Columbia Lions
2026 Team Stats (30 games)
72.2
PPG
58.8
Opp
+13.4
Margin
44.2%
FG%
33.0%
3P%
69.4%
FT%
38.2
RPG
16.3
APG
16.6
TO
85.0
Pace
75.0
AdjO
58.0
AdjD
#45
Rank
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1323 (#18) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1288 (#34) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1199 (#7) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.0 (#43) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +39.3 (#17) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.910 (#25) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.870 (#58) | NetEff +14.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.959 (#42) | AdjNet +27.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.963 (#42) | AdjNet +27.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.824 (#45) | AdjO 75.0 | AdjD 58.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.875 (#9) | AdjO 74.0 | AdjD 52.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.965 (#24) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.960 (#20) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1330 (#16) | RD 94 | GP 30 |
2026 Schedule & Results
2026 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Weiss
|
G | 30 | 33.2 | 20.7 | 3.0 | 2.1 | 1.7 | 0.4 | 2.2 | 16.8 | 8.9 | 109 | 5.2 | 5.8 | 43.9 | 39.6 | 82.4 | 1.67 | 56.3 | 52.8 |
P. Page
|
G | 30 | 29.9 | 14.8 | 6.3 | 2.3 | 2.6 | 0.3 | 2.3 | 10.8 | 13.2 | 111 | 5.3 | 6.7 | 53.8 | 26.3 | 70.0 | 1.16 | 58.8 | 55.4 |
S. Rafiu
|
F | 28 | 25.2 | 9.0 | 5.8 | 1.8 | 1.3 | 0.5 | 2.1 | 7.6 | 8.8 | 87 | 4.6 | 6.6 | 50.5 | 31.2 | 64.3 | 2.2 | 54.5 | 52.8 |
M. Broom
|
G | 30 | 25.1 | 8.2 | 3.2 | 2.9 | 1.6 | 0.3 | 2.6 | 7.1 | 6.6 | 40 | 1.9 | 3.5 | 34.4 | 37.0 | 76.9 | -0.82 | 51.3 | 46.5 |
F. Henderson
|
G | 25 | 28.8 | 6.4 | 6.8 | 3.6 | 1.6 | 0.4 | 3.4 | 7.2 | 8.2 | 122 | 5.8 | 7.8 | 35.2 | 13.3 | 64.6 | 2.82 | 40.2 | 36.3 |
M. Avlijas
|
G | 24 | 25.1 | 6.2 | 2.0 | 2.8 | 1.0 | 0.2 | 1.2 | 5.8 | 5.1 | 50 | 2.5 | 3.4 | 37.9 | 29.5 | 58.8 | 0.16 | 48.1 | 46.1 |
N. Simmons
|
G | 30 | 15.3 | 4.1 | 2.5 | 0.6 | 1.6 | 0.3 | 0.8 | 3.4 | 4.9 | 114 | 5.4 | 20.6 | 51.0 | 0.0 | 52.9 | 3.85 | 52.2 | 51.0 |
H. Feldrappe
|
F | 26 | 13.2 | 3.5 | 2.0 | 0.5 | 0.6 | 0.2 | 1.0 | 3.2 | 2.5 | 63 | 4.5 | 17.9 | 44.6 | 29.2 | 52.9 | 2.84 | 49.7 | 48.8 |
M. Arrebola
|
G | 15 | 7.5 | 1.7 | 0.9 | 0.5 | 0.0 | 0.0 | 0.3 | 1.9 | 0.9 | 9 | 0.6 | 2.7 | 31.0 | 32.0 | 0 | -0.4 | 44.8 | 44.8 |
S. Shippen
|
G | 5 | 4.0 | 1.2 | 0.6 | 0.2 | 0.0 | 0.0 | 0.4 | 0.6 | 1.0 | 10 | 2.0 | 25.1 | 66.7 | 100.0 | 100.0 | -0.14 | 87.2 | 83.3 |
B. Tor
|
G | 18 | 5.3 | 0.9 | 1.9 | 0.3 | 0.3 | 0.2 | 0.4 | 0.9 | 2.3 | -9 | -0.8 | -6.9 | 41.2 | 0.0 | 40.0 | -2.91 | 41.7 | 41.2 |
M. Jaama
|
F | 18 | 6.2 | 0.7 | 1.2 | 0.6 | 0.3 | 0.1 | 0.6 | 0.6 | 1.8 | 5 | 0.4 | 1.7 | 45.5 | 40.0 | 50.0 | -0.63 | 54.7 | 54.5 |
E. Erinugha
|
F | 28 | 6.7 | 0.6 | 1.5 | 0.1 | 0.1 | 0.1 | 0.4 | 0.6 | 1.6 | 16 | 0.8 | 5.8 | 41.2 | 0 | 50.0 | 1.48 | 43.3 | 41.2 |
A. Mitchell
|
F | 10 | 3.3 | 0.3 | 1.3 | 0.1 | 0.2 | 0.2 | 0.5 | 0.4 | 1.2 | 111 | 5.3 | 11.3 | 25.0 | 0 | 50.0 | 2.27 | 30.7 | 25.0 |
E. Montes
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
V. Cholopoulou
|
G | 4 | 3.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -0.8 | 10 | 2.0 | 29.5 | 0 | 0 | 0 | 0.08 | 0 | 0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG