Longwood Lancers
2026 Team Stats (30 games)
77.3
PPG
73.5
Opp
+3.8
Margin
45.6%
FG%
30.5%
3P%
74.7%
FT%
37.3
RPG
12.3
APG
13.8
TO
83.1
Pace
72.9
AdjO
79.6
AdjD
#264
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 → | 947 (#219) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 856 (#289) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 987 (#536) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.8 (#266) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.2 (#198) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.487 (#187) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.996 (#2) | NetEff +50.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.248 (#269) | AdjNet -9.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.245 (#270) | AdjNet -9.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.353 (#264) | AdjO 72.9 | AdjD 79.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.601 (#118) | AdjO 77.1 | AdjD 72.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.668 (#238) | 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 → | 0.653 (#227) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 973 (#261) | RD 154 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Tucker
|
F | 30 | 25.9 | 12.4 | 6.7 | 1.0 | 0.8 | 0.4 | 2.6 | 8.0 | 10.5 | -18 | -0.7 | -2.1 | 58.5 | 50.0 | 72.1 | 0.45 | 62.9 | 58.7 |
J. Hutchinson
|
G | 29 | 28.2 | 12.3 | 3.1 | 3.1 | 1.4 | 0.1 | 1.8 | 9.8 | 8.6 | 5 | 0.2 | 0.4 | 44.0 | 23.0 | 86.8 | -0.29 | 53.8 | 46.5 |
J. Nziemi
|
F | 27 | 25.7 | 10.5 | 5.9 | 1.6 | 1.1 | 0.4 | 2.1 | 6.5 | 11.0 | -12 | -0.5 | -1.4 | 48.9 | 31.8 | 74.8 | -0.44 | 59.7 | 50.9 |
R. Thompson Jr.
|
- | 30 | 22.3 | 10.0 | 1.6 | 2.0 | 0.6 | 0.0 | 1.7 | 8.2 | 4.4 | 238 | 9.5 | 22.5 | 39.2 | 31.6 | 89.0 | 1.47 | 54.1 | 48.0 |
E. Richards
|
G | 30 | 26.0 | 9.8 | 3.6 | 1.1 | 0.9 | 0.2 | 1.5 | 7.8 | 6.2 | 8 | 0.3 | 0.9 | 42.7 | 32.0 | 72.9 | -0.87 | 53.2 | 47.9 |
A. Billups III
|
G | 30 | 23.6 | 8.5 | 2.9 | 1.4 | 1.6 | 0.4 | 1.2 | 7.0 | 6.6 | 63 | 2.7 | 4.2 | 45.0 | 33.6 | 67.5 | 0.34 | 56.3 | 54.5 |
J. Benard
|
G | 30 | 19.8 | 7.2 | 3.7 | 0.9 | 0.8 | 0.2 | 1.0 | 6.3 | 5.6 | 13 | 0.5 | 1.9 | 43.2 | 31.2 | 60.0 | -0.41 | 53.4 | 52.4 |
E. Jones
|
- | 25 | 17.8 | 3.8 | 3.7 | 0.8 | 0.7 | 0.4 | 0.7 | 2.7 | 5.9 | 6 | 0.3 | 0.9 | 44.1 | 26.7 | 66.0 | -0.05 | 53.6 | 47.1 |
Elijah Kelly
|
- | 29 | 10.8 | 2.1 | 1.8 | 0.4 | 0.7 | 0.2 | 0.5 | 1.8 | 2.9 | 23 | 1.0 | 5.2 | 41.5 | 31.4 | 58.3 | -0.14 | 53.2 | 51.9 |
KJ McClurg
|
G | 4 | 14.2 | 2.0 | 2.2 | 0.5 | 0.5 | 0.0 | 0.2 | 3.8 | 1.2 | 14 | 4.7 | 19.7 | 13.3 | 0.0 | 50.0 | 0.23 | 21.6 | 13.3 |
Jaylin Payne
|
- | 28 | 7.9 | 1.9 | 1.6 | 0.2 | 0.3 | 0.1 | 0.6 | 1.4 | 2.1 | 33 | 1.6 | 11.4 | 57.5 | 0.0 | 58.3 | -0.03 | 58.5 | 57.5 |
J. Williams
|
- | 10 | 4.6 | 1.2 | 0.2 | 0.5 | 0.3 | 0.0 | 0.3 | 1.0 | 0.9 | -94 | -4.1 | -6.4 | 30.0 | 20.0 | 83.3 | -0.3 | 47.5 | 35.0 |
Isaiah Kalala
|
- | 15 | 3.3 | 0.9 | 0.8 | 0.1 | 0.0 | 0.1 | 0.1 | 0.3 | 1.5 | 17 | 1.7 | 31.1 | 75.0 | 0 | 58.3 | 0.19 | 70.0 | 75.0 |
Gerald Burr III
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -16 | -4.0 | -21.4 | - | - | - | -0.49 | - | - |
Quadri Bashiru
|
F | 0 | - | 0.0 | 0.0 | 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