Lafayette Leopards
2026 Team Stats (28 games)
59.0
PPG
62.8
Opp
-3.8
Margin
38.4%
FG%
33.6%
3P%
77.4%
FT%
32.9
RPG
11.3
APG
13.7
TO
74.0
Pace
55.9
AdjO
67.2
AdjD
#288
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 → | 837 (#281) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 868 (#262) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 928 (#500) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -11.6 (#286) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.2 (#283) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.320 (#233) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.281 (#237) | NetEff -7.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.108 (#295) | AdjNet -18.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.102 (#295) | AdjNet -18.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.264 (#288) | AdjO 55.9 | AdjD 67.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.418 (#425) | AdjO 58.1 | AdjD 61.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.451 (#316) | 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 → | 0.435 (#314) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 858 (#487) | RD 143 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Kiewiet
|
G | 26 | 34.0 | 16.4 | 6.1 | 1.3 | 1.0 | 0.3 | 1.8 | 14.0 | 9.2 | -115 | -5.5 | -6.8 | 42.9 | 36.6 | 81.6 | 0.48 | 52.3 | 47.5 |
T. Zurinskas
|
G | 28 | 32.7 | 10.8 | 1.7 | 3.8 | 0.9 | 0.1 | 3.5 | 10.6 | 3.2 | -55 | -2.4 | -2.7 | 34.7 | 30.0 | 81.6 | 0.93 | 44.9 | 38.7 |
H. Adamski
|
G | 28 | 27.9 | 9.4 | 3.0 | 0.9 | 1.2 | 0.2 | 1.3 | 8.3 | 5.1 | -93 | -4.0 | -5.8 | 39.5 | 37.0 | 72.0 | -3.4 | 53.9 | 52.6 |
S. Ntaconayigize
|
G | 23 | 33.9 | 9.3 | 3.1 | 1.2 | 1.0 | 0.3 | 1.3 | 8.5 | 5.1 | -48 | -2.5 | -3.2 | 37.2 | 38.5 | 78.6 | 2.19 | 51.1 | 48.7 |
T. Chudy
|
F | 16 | 22.0 | 6.2 | 4.9 | 1.4 | 0.4 | 0.4 | 2.1 | 5.6 | 5.6 | -10 | -0.9 | -1.2 | 40.4 | 0.0 | 75.7 | -0.5 | 47.5 | 40.4 |
M. Krug
|
F | 27 | 23.7 | 3.9 | 7.3 | 1.1 | 0.8 | 1.3 | 1.1 | 3.1 | 10.1 | -126 | -5.7 | -9.7 | 51.2 | 0 | 59.4 | -3.99 | 53.5 | 51.2 |
R. Scognamiglio
|
G | 28 | 19.3 | 3.4 | 2.1 | 1.0 | 0.9 | 0.1 | 1.0 | 4.0 | 2.5 | -49 | -2.1 | -4.4 | 31.0 | 29.5 | 100.0 | 0.34 | 41.7 | 41.2 |
H. Poser
|
G | 25 | 14.7 | 2.9 | 1.2 | 1.4 | 0.6 | 0.2 | 1.5 | 3.8 | 1.0 | -131 | -6.0 | -15.0 | 21.3 | 20.4 | 75.0 | -6.77 | 33.9 | 27.1 |
E. Heaney
|
G | 22 | 10.6 | 2.3 | 2.5 | 0.2 | 0.3 | 0.4 | 0.5 | 1.7 | 3.5 | 20 | 1.2 | 4.3 | 50.0 | 0.0 | 72.2 | 3.79 | 55.5 | 50.0 |
B. Beffert
|
F | 8 | 7.4 | 1.6 | 2.4 | 0.4 | 0.0 | 0.1 | 0.8 | 1.2 | 2.5 | 2 | 0.2 | 1.1 | 50.0 | 0 | 75.0 | -0.5 | 55.3 | 50.0 |
J. Mays
|
F | 7 | 5.6 | 0.9 | 1.6 | 0.1 | 0.1 | 0.1 | 0.1 | 0.7 | 2.0 | -14 | -2.0 | -20.7 | 40.0 | 0 | 100.0 | 0.23 | 51.0 | 40.0 |
S. Valente
|
F | 11 | 5.5 | 0.7 | 0.3 | 0.1 | 0.1 | 0.0 | 0.0 | 0.5 | 0.7 | 12 | 1.0 | 7.5 | 40.0 | 50.0 | 100.0 | 2.22 | 68.0 | 60.0 |
M. Urmuleviciute
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
E. Shields
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
K. Donahue
|
G | 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