The Citadel
2017 Team Stats (2 games)
83.5
PPG
116.5
Opp
-33.0
Margin
38.0%
FG%
33.8%
3P%
72.2%
FT%
31.0
RPG
16.0
APG
16.5
TO
-
Est. poss./game
83.2
Adj PPG
94.2
Adj Opp PPG
#316
Scoring Rank
Model Outputs
2016-2017
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 | 777 (#306) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 852 (#276) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 921 (#283) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -11.5 (#315) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -9.7 (#300) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.219 (#311) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.166 (#303) | AdjNet -14.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.161 (#304) | AdjNet -14.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.270 (#316) | AdjO 83.2 | AdjD 94.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.342 (#314) | AdjO 79.4 | AdjD 86.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.261 (#304) | 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 | 0.274 (#303) | 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 | 844 (#277) | RD 149 | GP 30 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Preston Parks
|
G | 15 | 27.3 | 16.7 | 3.2 | 4.7 | 2.4 | 0.1 | 2.6 | 4.2 | 20.4 | -54 | 21 | -2.6 | -4.4 | 33.3 | 33.3 | 100.0 | 2.67 | 186.2 | 42.1 |
Zane Najdawi
|
F | 16 | 24.9 | 15.6 | 6.9 | 0.9 | 1.5 | 1.2 | 1.9 | 3.6 | 20.6 | -110 | 23 | -4.8 | -9.3 | 46.6 | 50.0 | 75.0 | -2.14 | 197.5 | 52.6 |
Kaelon Harris
|
G | 12 | 19.6 | 11.0 | 4.9 | 0.9 | 0.4 | 0.4 | 2.3 | 3.2 | 12.1 | -77 | 14 | -5.5 | -12.2 | 61.5 | 57.1 | 60.0 | -2.84 | 144.7 | 71.8 |
Warren Sledge
|
G | 16 | 30.6 | 9.2 | 2.5 | 4.2 | 1.0 | 0.2 | 1.3 | 1.9 | 13.9 | -139 | 22 | -6.3 | -10.0 | 33.3 | 38.9 | 100.0 | -1.11 | 226.7 | 45.0 |
Quayson Williams
|
G | 16 | 18.2 | 8.9 | 2.8 | 1.2 | 1.1 | 0.1 | 1.0 | 2.7 | 10.4 | -186 | 23 | -8.1 | -23.0 | 39.5 | 35.5 | 61.5 | -6.24 | 146.8 | 52.3 |
Frankie Johnson
|
G | 16 | 23.8 | 8.2 | 2.6 | 3.4 | 1.8 | 0.1 | 1.8 | 2.4 | 11.9 | -70 | 23 | -3.0 | -5.9 | 34.2 | 20.0 | 81.8 | 2.14 | 152.9 | 39.5 |
Brian White
|
F | 15 | 14.6 | 8.1 | 3.0 | 0.7 | 0.8 | 0.1 | 1.1 | 2.2 | 9.5 | -56 | 22 | -2.5 | -10.3 | 54.5 | 40.0 | 87.5 | -1.76 | 167.0 | 60.6 |
Chris Ross
|
- | 1 | 8.0 | 8.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Leandro Allende
|
G | 16 | 14.4 | 5.8 | 2.3 | 0.6 | 0.5 | 0.1 | 0.9 | 1.8 | 6.7 | -183 | 23 | -8.0 | -24.2 | 39.3 | 28.6 | 66.7 | -7.72 | 145.5 | 46.4 |
Ezekiel Balogun
|
F | 15 | 9.0 | 5.7 | 3.4 | 0.2 | 0.6 | 0.4 | 1.1 | 0.9 | 8.3 | -10 | 20 | -0.5 | -2.0 | 42.9 | 16.7 | 33.3 | 0.0 | 280.7 | 46.4 |
Tyler Burgess
|
F | 6 | 9.0 | 5.5 | 0.8 | 0.2 | 0.0 | 0.0 | 0.5 | 0.0 | 6.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Matt Frierson
|
G | 16 | 15.9 | 5.4 | 1.1 | 1.8 | 0.9 | 0.0 | 0.6 | 1.9 | 6.6 | -52 | 23 | -2.3 | -6.1 | 33.3 | 33.3 | 50.0 | -0.68 | 139.2 | 48.3 |
Aaron Washington
|
- | 3 | 6.7 | 4.0 | 1.0 | 0.7 | 0.7 | 0.0 | 0.3 | 0.0 | 6.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Griffin Peevey
|
- | 2 | 3.5 | 4.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.5 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Tom Koopman
|
C | 16 | 7.3 | 2.1 | 1.7 | 0.2 | 0.3 | 0.1 | 0.4 | 1.2 | 2.9 | -36 | 21 | -1.7 | -9.5 | 36.8 | 25.0 | 0 | -1.83 | 89.5 | 39.5 |
Bobby Duncan
|
F | 8 | 3.6 | 0.9 | 1.2 | 0.2 | 0.1 | 0.0 | 0.5 | 0.0 | 2.0 | -20 | 7 | -2.9 | -37.1 | 0 | 0 | 0 | -2.16 | 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