Auburn
2022 Team Stats (30 games)
75.9
PPG
65.8
Opp
+11.5
Margin
42.9%
FG%
30.7%
3P%
72.3%
FT%
40.8
RPG
14.2
APG
12.4
TO
84.0
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 → | 1503 (#22) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1528 (#10) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1069 (#94) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +43.8 (#8) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +26.5 (#22) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.789 (#6) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.844 (#26) | NetEff +14.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.839 (#17) | AdjNet +14.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.840 (#17) | AdjNet +14.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.718 (#27) | AdjO 75.2 | AdjD 65.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.932 (#16) | 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 → | 0.910 (#19) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1308 (#22) | RD 113 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Smith Jr.
|
- | 30 | 28.5 | 16.3 | 7.4 | 1.9 | 1.0 | 1.1 | 1.9 | 12.3 | 13.5 | -91 | -3.6 | -6.8 | 42.7 | 41.7 | 76.5 | 2.05 | 56.8 | 51.9 |
W. Green Jr.
|
- | 33 | 26.2 | 11.8 | 3.8 | 5.1 | 1.5 | 0.0 | 2.2 | 10.2 | 9.7 | 293 | 8.6 | 12.6 | 35.8 | 30.7 | 86.7 | 2.01 | 52.2 | 43.3 |
K.D. Johnson
|
- | 30 | 27.5 | 11.7 | 3.0 | 1.6 | 1.8 | 0.1 | 1.8 | 9.7 | 6.6 | 273 | 8.0 | 12.0 | 38.3 | 29.4 | 72.1 | 1.98 | 50.9 | 45.2 |
W. Kessler
|
- | 30 | 25.9 | 11.4 | 8.2 | 0.9 | 1.0 | 4.9 | 1.1 | 7.9 | 17.4 | - | - | - | 60.1 | 16.7 | 58.8 | 1.92 | 62.3 | 61.6 |
A. Flanigan
|
- | 22 | 24.5 | 6.3 | 3.5 | 1.3 | 0.6 | 0.1 | 2.1 | 5.5 | 4.3 | 108 | 4.9 | 8.5 | 40.0 | 21.1 | 65.3 | 0.53 | 49.1 | 43.3 |
Jaylin Williams
|
- | 32 | 13.3 | 5.4 | 2.6 | 0.8 | 0.2 | 0.5 | 0.8 | 3.9 | 4.8 | 398 | 5.8 | 9.7 | 49.2 | 30.2 | 90.9 | 2.24 | 65.1 | 54.4 |
Z. Jasper
|
- | 31 | 22.5 | 4.9 | 1.2 | 2.1 | 0.7 | 0.1 | 0.8 | 4.0 | 4.3 | 171 | 5.3 | 9.5 | 34.1 | 36.7 | 78.4 | 1.15 | 54.9 | 43.1 |
Dev. Cambridge
|
- | 29 | 19.3 | 4.8 | 3.7 | 0.5 | 0.5 | 0.3 | 0.7 | 4.9 | 4.2 | 142 | 4.3 | 8.7 | 36.9 | 18.7 | 64.5 | 0.38 | 44.6 | 41.8 |
D. Cardwell
|
- | 33 | 11.7 | 3.1 | 3.1 | 0.5 | 0.5 | 1.3 | 0.3 | 1.8 | 6.4 | 84 | 2.5 | 8.5 | 67.2 | 0.0 | 40.0 | 0.36 | 78.0 | 67.2 |
L. Berman
|
- | 20 | 8.3 | 2.0 | 0.7 | 0.3 | 0.2 | 0.1 | 0.1 | 1.6 | 1.6 | 42 | 2.1 | 10.6 | 35.5 | 33.3 | 0.0 | 0.34 | 63.6 | 41.9 |
Chris Moore
|
- | 24 | 7.2 | 1.8 | 1.4 | 0.2 | 0.3 | 0.2 | 0.6 | 1.5 | 1.8 | 24 | 1.0 | 5.2 | 42.9 | 0.0 | 72.7 | -0.1 | 52.7 | 42.9 |
Carter Sobera
|
- | 4 | 1.2 | 0.8 | 1.0 | 0.0 | 0.2 | 0.0 | 0.2 | 0.2 | 1.5 | - | - | - | 100.0 | 0 | 33.3 | - | 64.7 | 100.0 |
P. Cook
|
G | 16 | 1.4 | 0.7 | 0.1 | 0.1 | 0.1 | 0.0 | 0.1 | 0.5 | 0.3 | -22 | -1.2 | -33.6 | 50.0 | 50.0 | 50.0 | -0.36 | 61.9 | 62.5 |
C. Leopard
|
- | 9 | 1.4 | 0.7 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | 0.2 | - | - | - | 40.0 | 40.0 | 0 | - | 60.0 | 60.0 |
C. Maasdorp
|
G | 8 | 1.5 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | - | - | - | 0 | 0 | 0.0 | - | 0.0 | 0 |
B. Akingbola
|
- | 4 | 3.5 | 0.0 | 0.8 | 0.0 | 0.0 | 0.8 | 0.5 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
T. Cressman
|
F | 2 | 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