Elon
2023 Team Stats (32 games)
65.4
PPG
71.6
Opp
-6.2
Margin
42.5%
FG%
30.2%
3P%
70.8%
FT%
33.7
RPG
12.2
APG
12.3
TO
66.4
Est. poss./game
61.9
Adj PPG
72.7
Adj Opp PPG
#335
Scoring Rank
Model Outputs
2022-2023
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 โ | 704 (#331) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 748 (#343) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 915 (#299) | HCA +85 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -11.5 (#333) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -12.0 (#339) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.193 (#334) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.193 (#334) | NetEff -12.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.130 (#331) | AdjNet -16.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.131 (#332) | AdjNet -16.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.273 (#335) | AdjO 61.9 | AdjD 72.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.321 (#336) | AdjO 62.2 | AdjD 70.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.226 (#332) | 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 โ | 0.234 (#332) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 783 (#332) | RD 154 | GP 30 |
2023 Schedule & Results
2023 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sean Halloran
|
- | 32 | 33.8 | 13.0 | 3.2 | 4.0 | 1.8 | 0.0 | 2.6 | 10.8 | 8.6 | -200 | 30 | -6.7 | -8.0 | 41.9 | 31.3 | 91.5 | -1.42 | 54.4 | 49.3 |
Max Mackinnon
|
G | 31 | 29.6 | 11.4 | 5.1 | 2.4 | 1.1 | 0.1 | 2.2 | 9.5 | 8.5 | -147 | 29 | -5.1 | -7.0 | 49.3 | 28.4 | 71.4 | -1.37 | 55.4 | 53.2 |
Zac Ervin
|
- | 31 | 27.4 | 9.3 | 2.6 | 1.5 | 0.5 | 0.0 | 1.2 | 8.7 | 4.0 | -126 | 29 | -4.3 | -6.4 | 35.4 | 33.3 | 72.0 | 1.3 | 49.3 | 46.7 |
Torrence Watson
|
- | 28 | 26.8 | 9.2 | 6.1 | 1.5 | 0.5 | 0.2 | 1.4 | 8.5 | 7.7 | -120 | 27 | -4.4 | -6.7 | 34.5 | 28.9 | 77.8 | -1.41 | 48.0 | 42.6 |
Sam Sherry
|
- | 32 | 22.9 | 9.1 | 4.2 | 0.5 | 0.4 | 0.8 | 1.2 | 6.0 | 7.8 | -104 | 30 | -3.5 | -6.1 | 57.8 | 21.1 | 68.8 | -0.99 | 62.3 | 58.9 |
Deandre Smart
|
- | 4 | 15.0 | 9.0 | 3.8 | 0.5 | 0.2 | 0.0 | 1.0 | 4.5 | 8.0 | - | - | - | - | 72.2 | 0 | 58.8 | 2.61 | 70.6 | 72.2 |
Jerald Gillens-Butler
|
- | 17 | 26.2 | 8.4 | 2.9 | 1.5 | 0.8 | 0.3 | 1.6 | 8.1 | 4.2 | -34 | 16 | -2.1 | -3.4 | 36.2 | 32.1 | 67.6 | 0.87 | 46.3 | 42.8 |
JaDun Michael
|
- | 18 | 15.4 | 4.1 | 2.2 | 0.4 | 0.4 | 0.2 | 0.8 | 4.2 | 2.3 | -99 | 18 | -5.5 | -14.6 | 38.7 | 10.0 | 56.0 | -3.14 | 42.4 | 39.3 |
John Bowen
|
- | 32 | 17.3 | 3.1 | 3.8 | 0.5 | 0.4 | 0.5 | 0.8 | 2.4 | 5.1 | -137 | 30 | -4.6 | -11.1 | 53.8 | 36.4 | 35.5 | -4.81 | 54.0 | 56.4 |
LA Pratt
|
G | 32 | 16.5 | 2.7 | 1.7 | 0.8 | 0.6 | 0.0 | 0.8 | 2.8 | 2.3 | -75 | 30 | -2.5 | -6.2 | 35.6 | 26.0 | 75.0 | -1.02 | 45.1 | 42.8 |
RJ Noord
|
- | 14 | 8.8 | 2.5 | 1.0 | 0.3 | 0.5 | 0.0 | 0.5 | 3.0 | 0.8 | -34 | 13 | -2.6 | -13.3 | 31.0 | 25.0 | 46.2 | -1.64 | 36.7 | 34.5 |
Andrew Junkin
|
C | 9 | 7.9 | 1.3 | 2.2 | 0.2 | 0.0 | 0.6 | 0.6 | 0.7 | 3.1 | -6 | 8 | -0.8 | -4.3 | 50.0 | 0 | 66.7 | -1.99 | 60.2 | 50.0 |
Austin Williams
|
- | 5 | 1.0 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.2 | - | - | - | - | 50.0 | 100.0 | 0 | -2.59 | 75.0 | 75.0 |
Otto Luessenhop
|
- | 5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.2 | - | - | - | - | 0.0 | 0.0 | 0 | -1.89 | 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