Loyola Maryland
2026 Team Stats (30 games)
75.4
PPG
77.4
Opp
-2.0
Margin
43.3%
FG%
33.4%
3P%
71.2%
FT%
35.1
RPG
13.3
APG
11.0
TO
79.9
Pace
71.4
AdjO
83.1
AdjD
#316
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 → | 901 (#254) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 801 (#320) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 969 (#571) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -11.8 (#318) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.9 (#337) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.325 (#272) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.152 (#295) | NetEff -14.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.143 (#319) | AdjNet -15.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.140 (#319) | AdjNet -15.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.257 (#316) | AdjO 71.4 | AdjD 83.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.430 (#552) | AdjO 74.3 | AdjD 77.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.519 (#331) | 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 → | 0.488 (#333) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 895 (#511) | RD 155 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Speed
|
- | 30 | 32.7 | 15.3 | 4.5 | 3.9 | 1.1 | 0.3 | 2.0 | 10.7 | 12.3 | -38 | -1.6 | -2.6 | 44.7 | 34.8 | 83.3 | -0.55 | 59.3 | 52.0 |
Emmett Adair
|
- | 25 | 25.4 | 14.2 | 5.5 | 0.9 | 0.3 | 0.3 | 1.4 | 12.0 | 8.0 | 4 | 0.2 | 0.5 | 45.8 | 31.9 | 84.8 | -0.05 | 55.8 | 53.0 |
J. Theodosiou
|
- | 26 | 23.3 | 13.3 | 3.5 | 2.7 | 1.7 | 0.2 | 2.5 | 9.7 | 9.0 | -65 | -3.4 | -6.6 | 46.2 | 29.9 | 68.0 | -0.64 | 56.4 | 52.0 |
J. Stiemke
|
- | 30 | 27.6 | 10.0 | 3.1 | 1.3 | 0.8 | 0.5 | 0.9 | 8.8 | 6.0 | -13 | -0.6 | -1.2 | 39.5 | 34.2 | 80.4 | -0.5 | 52.7 | 49.4 |
J. Sirtautas
|
F | 18 | 19.4 | 6.2 | 3.6 | 0.6 | 0.4 | 1.8 | 0.9 | 3.8 | 7.8 | 10 | 0.5 | 1.3 | 64.7 | 15.4 | 45.7 | -0.17 | 62.9 | 66.2 |
T. Cicero Jr.
|
- | 30 | 14.1 | 6.0 | 2.3 | 0.7 | 0.8 | 0.0 | 0.5 | 5.1 | 4.3 | 49 | 2.1 | 8.2 | 39.2 | 39.3 | 83.3 | -0.15 | 56.2 | 54.2 |
S. Springer
|
- | 30 | 17.1 | 4.9 | 2.3 | 0.6 | 0.1 | 0.1 | 0.7 | 4.1 | 3.2 | -35 | -1.5 | -4.1 | 39.0 | 36.1 | 76.5 | -0.86 | 53.6 | 49.6 |
T. Commander
|
- | 29 | 23.4 | 4.2 | 2.6 | 1.1 | 0.7 | 0.3 | 1.1 | 3.4 | 4.3 | -62 | -2.7 | -7.7 | 45.5 | 39.6 | 72.2 | 0.19 | 57.1 | 55.1 |
Carter Berg-Mclean
|
- | 28 | 13.6 | 3.2 | 2.4 | 1.6 | 0.2 | 0.3 | 0.7 | 3.4 | 3.6 | 40 | 2.0 | 7.9 | 38.9 | 20.0 | 73.3 | 0.42 | 44.3 | 41.6 |
Sebastien Emenalo
|
- | 29 | 14.1 | 3.1 | 3.2 | 0.4 | 0.4 | 0.2 | 0.6 | 3.1 | 3.7 | -10 | -0.5 | -1.6 | 35.2 | 30.8 | 50.0 | 0.07 | 45.1 | 44.0 |
Everett Barnes
|
- | 24 | 8.5 | 1.5 | 1.4 | 0.2 | 0.1 | 0.5 | 0.3 | 1.3 | 2.1 | -13 | -0.9 | -5.8 | 48.4 | 25.0 | 20.0 | -0.6 | 44.0 | 50.0 |
G. Brennan
|
- | 14 | 3.9 | 0.9 | 1.2 | 0.4 | 0.1 | 0.1 | 0.1 | 1.1 | 1.6 | 5 | 0.5 | 41.1 | 33.3 | 12.5 | 20.0 | -0.18 | 34.9 | 36.7 |
B. Menker
|
- | 13 | 1.5 | 0.6 | 0.2 | 0.1 | 0.0 | 0.0 | 0.2 | 0.6 | 0.2 | 14 | 2.0 | 102.8 | 37.5 | 33.3 | 0 | -0.0 | 50.0 | 50.0 |
P. Sposito
|
- | 11 | 1.4 | 0.3 | 0.3 | 0.0 | 0.1 | 0.0 | 0.1 | 0.6 | -0.1 | -6 | -1.2 | -114.3 | 14.3 | 25.0 | 0.0 | 0.03 | 20.2 | 21.4 |
G. Kodi
|
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