Appalachian State
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
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. More → | 1032 (#134) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#329) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.8 (#206) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.3 (#176) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.952 (#24) | NetEff +23.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.426 (#193) | AdjNet -2.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.424 (#193) | AdjNet -2.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. 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. 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. 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. More → | 1065 (#175) | RD 150 | GP 30 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. 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
|
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
|
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
|
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
|
- | 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.
|
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
|
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
|
- | 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
|
- | 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.
|
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
|
- | 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
|
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
|
- | 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
|
- | 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
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Ted Neal
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
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