Saint Mary's
2026 Team Stats (31 games)
78.3
PPG
64.7
Opp
+13.6
Margin
46.4%
FG%
39.9%
3P%
80.8%
FT%
39.8
RPG
15.8
APG
10.9
TO
77.3
Pace
79.1
AdjO
62.5
AdjD
#34
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 → | 1228 (#34) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1294 (#21) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1135 (#29) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.1 (#35) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +27.5 (#36) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.867 (#12) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.995 (#5) | NetEff +47.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.933 (#28) | AdjNet +22.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.935 (#28) | AdjNet +23.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.819 (#34) | AdjO 79.1 | AdjD 62.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.730 (#28) | AdjO 73.7 | AdjD 62.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.940 (#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 → | 0.920 (#23) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1365 (#12) | RD 125 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P. Murauskas
|
F | 31 | 32.0 | 18.9 | 7.5 | 2.2 | 0.6 | 0.5 | 1.7 | 12.8 | 15.3 | 45 | 3.2 | 11.7 | 49.0 | 33.3 | 84.5 | 0.81 | 61.0 | 53.4 |
M. Lewis
|
G | 31 | 26.9 | 14.3 | 2.7 | 2.2 | 0.7 | 0.3 | 1.4 | 11.6 | 7.3 | 59 | 4.9 | 25.5 | 41.4 | 37.7 | 88.9 | 0.27 | 55.6 | 50.6 |
J. Dent
|
- | 31 | 36.1 | 13.1 | 2.4 | 5.7 | 1.5 | 0.2 | 2.2 | 9.1 | 11.6 | 272 | 11.8 | 22.2 | 46.5 | 41.0 | 92.3 | 1.63 | 62.9 | 56.9 |
A. McKeever
|
- | 31 | 23.1 | 7.9 | 9.0 | 1.8 | 0.5 | 0.9 | 1.7 | 6.3 | 12.2 | 122 | 5.3 | 14.9 | 49.0 | 0 | 62.9 | 0.74 | 52.8 | 49.0 |
D. Shaw
|
- | 31 | 27.2 | 7.7 | 5.2 | 1.6 | 0.9 | 0.6 | 1.1 | 6.1 | 8.8 | 67 | 2.9 | 8.0 | 44.2 | 43.1 | 76.9 | 1.02 | 59.1 | 57.4 |
L. Campbell
|
- | 31 | 14.7 | 5.0 | 1.8 | 0.5 | 0.3 | 0.0 | 0.5 | 3.1 | 4.1 | 33 | 2.8 | 16.4 | 53.1 | 55.3 | 82.4 | 0.22 | 70.3 | 66.7 |
H. Wessels
|
C | 30 | 16.7 | 4.7 | 5.0 | 0.6 | 0.4 | 0.9 | 0.7 | 3.4 | 7.7 | 119 | 5.4 | 21.5 | 50.5 | 0 | 69.0 | 0.4 | 56.1 | 50.5 |
T. Duckett
|
- | 21 | 6.5 | 3.0 | 0.5 | 0.4 | 0.3 | 0.3 | 0.3 | 2.3 | 1.8 | -3 | -0.5 | -7.0 | 38.8 | 30.8 | 90.9 | 0.11 | 52.8 | 42.9 |
R. Hawke
|
- | 30 | 11.0 | 2.5 | 1.2 | 0.4 | 0.2 | 0.0 | 0.5 | 1.7 | 2.1 | 2 | 0.1 | 0.4 | 51.0 | 23.5 | 78.3 | 0.36 | 60.5 | 54.9 |
M. Juzenas
|
- | 25 | 5.8 | 2.2 | 1.4 | 0.3 | 0.1 | 0.0 | 0.3 | 1.5 | 2.2 | 0 | 0.0 | 0.0 | 45.9 | 48.4 | 55.6 | 0.35 | 65.9 | 66.2 |
K. Gad
|
- | 7 | 10.1 | 1.4 | 1.3 | 0.7 | 0.1 | 0.0 | 0.1 | 1.6 | 1.9 | 18 | 2.6 | 19.6 | 36.4 | 33.3 | 0 | 0.21 | 45.5 | 45.5 |
C. Bennett
|
G | 7 | 4.7 | 1.1 | 1.1 | 0.6 | 0.0 | 0.0 | 0.1 | 0.7 | 2.0 | -2 | -0.7 | -42.5 | 40.0 | 40.0 | 50.0 | -0.09 | 59.2 | 60.0 |
O. Faubert
|
- | 11 | 1.9 | 0.2 | 0.0 | 0.0 | 0.1 | 0.0 | 0.1 | 0.3 | -0.1 | 7 | 1.0 | 22.3 | 33.3 | 0 | 0 | 0.01 | 33.3 | 33.3 |
J. Gardner
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Trent MacLean
|
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