Saint Mary's
2022 Team Stats (9 games)
67.2
PPG
60.9
Opp
+10.1
Margin
46.4%
FG%
36.7%
3P%
79.8%
FT%
31.7
RPG
12.6
APG
10.2
TO
71.1
Pace
Model Outputs
2021-2022
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 → | 1468 (#26) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1499 (#15) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1170 (#11) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +38.5 (#24) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +25.3 (#25) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.586 (#95) | NetEff +3.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.743 (#17) | AdjO 70.4 | AdjD 58.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.930 (#17) | 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 → | 0.914 (#15) | 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 (#8) | RD 115 | GP 32 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Sow
|
F | 1 | 29.0 | 15.0 | 7.0 | 1.0 | 0.0 | 1.0 | 3.0 | 9.0 | 12.0 | 157 | 5.6 | 7.8 | 44.4 | 100.0 | 100.0 | 1.02 | 64.4 | 50.0 |
T. Kuhse
|
G | 15 | 31.5 | 13.1 | 3.6 | 4.2 | 1.0 | 0.4 | 2.6 | 8.7 | 11.0 | 232 | 6.8 | 9.0 | 49.6 | 42.5 | 87.5 | 1.53 | 71.4 | 56.1 |
L. Johnson
|
- | 32 | 31.5 | 12.1 | 4.2 | 2.6 | 2.0 | 0.3 | 1.7 | 4.9 | 14.5 | 227 | 6.7 | 8.6 | 42.0 | 35.5 | 76.2 | 1.0 | 110.0 | 45.5 |
M. Tass
|
F | 18 | 27.2 | 12.0 | 5.2 | 2.0 | 0.3 | 0.7 | 1.9 | 6.0 | 12.3 | 225 | 6.6 | 9.3 | 58.3 | 0.0 | 85.2 | 1.07 | 90.1 | 58.3 |
Alex Ducas
|
- | 32 | 29.8 | 10.2 | 3.8 | 0.9 | 1.0 | 0.2 | 1.2 | 4.1 | 10.9 | 278 | 8.2 | 11.6 | 42.3 | 45.0 | 79.2 | 2.08 | 116.3 | 56.2 |
B. Horvath
|
F | 1 | 30.0 | 8.0 | 6.0 | 2.0 | 2.0 | 0.0 | 5.0 | 0.0 | 13.0 | 209 | 6.1 | 7.9 | 0 | 0 | 0 | 1.2 | 0 | 0 |
R. Idehen
|
F | 1 | 18.0 | 8.0 | 3.0 | 0.0 | 2.0 | 0.0 | 2.0 | 8.0 | 3.0 | 93 | 3.4 | 9.0 | 50.0 | 0 | 0 | 0.54 | 50.0 | 50.0 |
K. Bowen
|
- | 32 | 29.5 | 5.8 | 5.4 | 1.3 | 0.7 | 0.4 | 0.5 | 1.9 | 11.3 | 324 | 9.8 | 14.3 | 49.2 | 34.2 | 77.8 | 2.31 | 143.2 | 59.8 |
D. Fotu
|
F | 15 | 13.6 | 5.5 | 2.8 | 0.5 | 0.7 | 0.2 | 0.8 | 2.8 | 6.1 | 43 | 1.3 | 3.4 | 50.0 | 26.7 | 93.8 | 0.25 | 84.6 | 54.8 |
E. Claycomb
|
F | 1 | 31.0 | 5.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 7.0 | 89 | 3.2 | 4.6 | 0 | 0 | 0 | 1.21 | 0 | 0 |
S. Touré
|
G | 1 | 10.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | 61 | 2.2 | 7.8 | 66.7 | 0 | 0 | 0.64 | 66.7 | 66.7 |
M. Saxen
|
C | 26 | 7.7 | 3.4 | 2.3 | 0.1 | 0.1 | 0.5 | 0.5 | 1.4 | 4.5 | 66 | 2.4 | 12.6 | 47.2 | 0 | 46.2 | 0.51 | 106.7 | 47.2 |
Augustas Marčiulionis
|
G | 32 | 14.8 | 3.2 | 1.0 | 1.8 | 0.9 | 0.1 | 1.5 | 1.6 | 3.9 | - | - | - | 33.3 | 20.0 | 85.7 | - | 84.7 | 38.2 |
L. Bockler
|
G | 5 | 5.0 | 2.6 | 0.6 | 0.4 | 0.4 | 0.0 | 0.2 | 2.6 | 1.2 | 14 | 1.2 | 11.2 | 38.5 | 42.9 | 0 | 0.02 | 50.0 | 50.0 |
J. Mullins
|
- | 15 | 8.4 | 2.3 | 0.9 | 0.1 | 0.5 | 0.0 | 0.2 | 1.6 | 2.0 | 50 | 1.5 | 6.1 | 37.5 | 33.3 | 0.0 | 0.03 | 71.6 | 47.9 |
E. Dike
|
G | 1 | 11.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 2.0 | 14 | 0.7 | 1.8 | 0 | 0 | 0 | 0.13 | 0 | 0 |
J. Brown
|
- | 5 | 3.0 | 1.6 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.8 | -102 | -5.4 | -17.3 | 60.0 | 66.7 | 0 | 1.15 | 80.0 | 80.0 |
L. Barrett
|
F | 14 | 3.7 | 1.2 | 0.8 | 0.4 | 0.2 | 0.0 | 0.1 | 0.2 | 2.4 | 7 | 0.5 | 4.7 | 33.3 | 0.0 | 0.0 | -0.08 | 219.1 | 33.3 |
M. Van Komen
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
C. Howell
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Y. Arcan
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Q. Clinton
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Jennissen
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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