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Appalachian State

Also known as: Appalachian State Mountaineers
Program History

2026 Team Stats (30 games)

72.2
PPG
66.2
Opp
+6.0
Margin
43.8%
FG%
30.6%
3P%
64.3%
FT%
39.2
RPG
12.2
APG
9.8
TO
76.4
Pace
66.8
AdjO
69.4
AdjD
#202
Rank

Model Outputs

2025-2026
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 → 951 (#215) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1029 (#154) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 1032 (#134) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 997 (#329) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → -2.8 (#206) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +13.3 (#176) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -11.2 (#495) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.579 (#125) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +23.4 More → 0.952 (#24) NetEff +23.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.6 More → 0.426 (#193) AdjNet -2.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.7 More → 0.424 (#193) AdjNet -2.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.8 | AdjD 69.4 More → 0.441 (#202) AdjO 66.8 | AdjD 69.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.1 | AdjD 66.2 More → 0.587 (#137) AdjO 70.1 | AdjD 66.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.8 | AdjD 73.8 More → 0.477 (#353) AdjO 72.8 | AdjD 73.8
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 → 0.745 (#182) Blend of Elo, BT, Margin, PythLog, PtsOD
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 → 0.281 (#493) 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 → 0.716 (#174) 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 → 0.321 (#481) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 150 | GP 30 More → 1065 (#175) RD 150 | GP 30
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 915 (#429) RD 350 | GP 1

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%
K. Jennings K. Jennings G 30 32.5 15.0 4.1 2.1 1.1 0.1 1.6 12.9 8.0 125 5.2 7.2 39.6 32.3 76.7 0.26 51.4 46.6
A. Dodd A. Dodd G 30 31.2 13.3 5.2 4.1 0.8 0.3 2.4 10.2 11.1 157 6.5 9.6 46.6 28.0 70.1 0.9 56.0 52.0
L. Wilson L. Wilson C 30 27.8 10.5 8.2 0.6 0.4 1.7 1.0 5.2 15.2 95 4.0 6.5 63.7 0 57.4 0.33 64.3 63.7
Jalen Tot Jalen Tot - 30 24.7 9.6 1.9 1.2 0.7 0.1 0.9 8.9 3.6 111 4.8 9.8 33.8 33.3 69.8 0.4 50.5 48.5
M. Marcus Jr. M. Marcus Jr. F 30 23.8 8.1 6.1 0.4 0.5 0.5 0.7 6.0 8.9 53 2.2 4.1 47.5 34.1 73.2 0.29 58.8 55.5
E. Banks E. Banks G 28 25.5 6.7 2.6 1.8 0.6 0.1 0.9 6.9 4.1 88 4.0 6.5 37.1 25.9 50.0 0.38 45.6 44.8
L. Ledford L. Ledford - 2 9.5 5.5 1.5 1.0 0.5 0.0 0.5 5.5 2.5 - - - 36.4 50.0 0 - 50.0 50.0
Grant Clayton Grant Clayton - 2 9.5 4.0 6.0 0.5 0.0 1.0 0.5 3.0 8.0 -6 -3.0 -221.5 66.7 0.0 0.0 -0.06 51.5 66.7
J. Clarke Jr. J. Clarke Jr. G 21 13.4 3.4 1.5 1.4 0.4 0.0 0.5 3.4 2.9 -46 -2.1 -7.1 39.4 18.5 52.4 -1.28 44.9 43.0
A. Njock A. Njock - 22 11.1 3.3 3.0 0.4 0.3 0.1 0.4 2.0 4.7 14 0.7 2.5 53.5 17.6 76.7 -0.51 64.1 57.0
C. Moodie C. Moodie F 30 12.8 2.8 2.8 0.1 0.2 0.6 0.5 1.8 4.2 23 1.0 3.2 60.0 0 43.6 -0.46 57.5 60.0
C. O'Kelley C. O'Kelley - 5 5.2 2.2 0.6 0.6 0.2 0.0 0.4 1.6 1.6 1 0.3 2.2 37.5 28.6 75.0 -0.0 56.4 50.0
Jacari Brim Jacari Brim - 20 6.7 1.3 0.7 0.8 0.1 0.0 0.1 1.1 1.8 35 2.2 14.3 40.9 37.5 33.3 0.16 52.8 54.5
KJ Vasser KJ Vasser G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Ted Neal Ted Neal G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Tre McKinnon Tre McKinnon 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