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St. Thomas - Minnesota Tommies

Season: 2026 2025 2024 2023 2022
Also known as: St. Thomas - Minnesota Tommies
Program History

2022 Team Stats (1 games)

86.0
PPG
76.3
Opp
-2.7
Margin
50.0%
FG%
41.2%
3P%
84.2%
FT%
29.0
RPG
17.0
APG
10.0
TO
74.4
Pace

Model Outputs

2021-2022
Catalog

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 → 1239 (#107) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1139 (#206) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 927 (#581) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +21.0 (#211) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +1.5 (#329) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +19.4 More → 0.868 (#21) NetEff +19.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.7 | AdjD 73.3 More → 0.420 (#531) AdjO 69.7 | AdjD 73.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.492 (#322) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.459 (#335) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 175 | GP 27 More → 848 (#564) RD 175 | GP 27

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%
R. Miller R. Miller - 27 31.7 15.4 2.8 2.2 0.6 0.1 1.2 2.1 17.8 -101 -3.5 -4.5 41.4 41.9 100.0 1.71 315.5 56.9
R. Economou R. Economou G 1 21.0 14.0 6.0 1.0 0.0 0.0 0.0 0.0 21.0 63 4.8 16.2 0 0 0 0.46 0 0
D. Wilson D. Wilson F 1 27.0 14.0 4.0 3.0 0.0 1.0 3.0 0.0 19.0 314 9.2 15.0 0 0 0 1.88 0 0
A. Nelson A. Nelson - 1 27.0 13.0 3.0 5.0 0.0 0.0 0.0 8.0 13.0 -94 -3.2 -4.6 37.5 25.0 100.0 0.5 61.1 43.8
P. Bjorklund P. Bjorklund - 21 25.3 12.4 6.1 1.1 0.8 0.4 1.5 2.2 17.2 -80 -3.3 -5.4 52.2 50.0 40.0 -0.55 258.9 54.3
R. Lindberg R. Lindberg G 12 30.9 9.0 1.5 1.3 0.4 0.0 0.5 2.2 9.6 -83 -2.8 -3.8 57.7 60.9 0 -0.17 207.7 84.6
B. Hedstrom B. Hedstrom G 5 25.4 7.8 3.2 2.0 0.6 0.0 0.8 2.4 10.4 -17 -0.6 -1.0 50.0 0.0 75.0 0.21 125.6 50.0
B. Allen B. Allen - 27 22.7 7.4 4.7 1.9 0.7 0.1 0.7 1.2 12.9 -12 -0.4 -0.7 39.4 21.4 66.7 0.17 269.2 43.9
D. Martinelli D. Martinelli - 14 13.2 5.1 1.9 0.5 0.3 0.1 0.7 1.1 6.1 2 0.1 0.4 40.0 0.0 75.0 -0.05 214.8 40.0
K. Cunningham K. Cunningham G 5 22.4 5.0 1.6 1.2 0.6 0.2 0.4 0.8 7.4 14 0.7 4.0 25.0 33.3 0.0 0.25 256.1 37.5
B. Nau B. Nau - 27 9.5 2.7 1.1 0.5 0.2 0.0 0.5 0.3 3.7 107 3.7 13.6 42.9 50.0 0 1.15 521.4 64.3
W. Engels W. Engels - 16 9.0 2.0 2.4 0.4 0.3 0.0 0.5 0.1 4.5 44 2.8 11.3 50.0 0 100.0 0.58 555.6 50.0
B. Kwiecinski B. Kwiecinski - 11 4.6 1.8 1.5 0.2 0.3 0.5 0.2 0.0 4.1 33 3.0 25.8 0 0 66.7 0.27 757.6 0
Z. Theisen Z. Theisen - 2 4.5 1.5 0.0 0.0 0.0 0.0 0.0 0.0 1.5 45 2.8 17.2 0 0 0 0.37 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