Davidson
2019 Team Stats (5 games)
64.2
PPG
64.8
Opp
-0.6
Margin
38.3%
FG%
28.5%
3P%
80.0%
FT%
35.6
RPG
14.6
APG
10.6
TO
-
Est. poss./game
69.8
Adj PPG
64.4
Adj Opp PPG
#93
Scoring Rank
Model Outputs
2018-2019
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 | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1146 (#70) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1056 (#89) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +5.8 (#95) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +4.0 (#102) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.679 (#68) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.747 (#88) | AdjNet +9.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.749 (#89) | AdjNet +9.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.621 (#93) | AdjO 69.8 | AdjD 64.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.566 (#96) | AdjO 68.6 | AdjD 65.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.654 (#80) | 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 | 0.644 (#81) | 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 | 1132 (#77) | RD 118 | GP 33 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kellan Grady
|
G | 23 | 37.6 | 18.3 | 4.6 | 2.1 | 0.9 | 0.2 | 1.7 | 4.1 | 20.4 | 159 | 26 | 6.1 | 6.8 | 41.5 | 27.3 | 64.7 | 1.45 | 207.4 | 46.3 |
J. Gudmundsson
|
G | 26 | 36.5 | 15.9 | 7.2 | 5.1 | 1.2 | 0.0 | 2.5 | 3.3 | 23.6 | 162 | 28 | 5.8 | 6.5 | 44.2 | 27.0 | 78.9 | 1.93 | 201.0 | 50.0 |
Luka Brajkovic
|
F | 27 | 24.7 | 11.4 | 5.8 | 1.5 | 0.4 | 1.2 | 1.6 | 2.4 | 16.3 | 174 | 28 | 6.2 | 10.6 | 53.8 | 100.0 | 85.7 | 1.34 | 208.1 | 55.4 |
Luke Frampton
|
- | 27 | 31.3 | 10.6 | 3.2 | 2.0 | 0.8 | 0.3 | 1.0 | 2.3 | 13.6 | 125 | 28 | 4.5 | 6.0 | 27.0 | 29.1 | 100.0 | 0.33 | 212.8 | 39.7 |
KiShawn Pritchett
|
G | 26 | 27.8 | 6.4 | 3.5 | 2.3 | 0.7 | 0.3 | 1.5 | 1.2 | 10.6 | 168 | 28 | 6.0 | 8.8 | 19.4 | 5.3 | 83.3 | 2.93 | 246.7 | 21.0 |
Carter Collins
|
G | 26 | 23.0 | 5.5 | 3.8 | 0.8 | 0.8 | 0.1 | 0.7 | 1.4 | 9.0 | 1 | 28 | 0.0 | 0.1 | 38.9 | 25.0 | 66.7 | -3.54 | 173.2 | 44.4 |
Nathan Ekwu
|
F | 10 | 7.7 | 2.7 | 2.2 | 0.3 | 0.0 | 0.3 | 0.9 | 0.9 | 3.7 | 4 | 9 | 0.4 | 3.4 | 66.7 | 100.0 | 0 | -2.0 | 150.0 | 72.2 |
Dusan Kovacevic
|
F | 24 | 8.8 | 1.7 | 2.2 | 0.7 | 0.1 | 0.2 | 0.9 | 0.4 | 3.4 | -31 | 27 | -1.1 | -5.1 | 50.0 | 0.0 | 0 | -3.37 | 200.0 | 50.0 |
David Czerapowicz
|
G | 22 | 8.6 | 1.5 | 0.8 | 0.2 | 0.0 | 0.0 | 0.1 | 0.5 | 1.8 | 5 | 20 | 0.2 | 1.4 | 25.0 | 20.0 | 0 | -1.73 | 133.3 | 33.3 |
Malcolm Wynter
|
G | 10 | 3.4 | 1.3 | 0.0 | 0.3 | 0.1 | 0.0 | 0.2 | 0.7 | 0.8 | -5 | 9 | -0.6 | -20.4 | 28.6 | 20.0 | 0 | -1.92 | 92.9 | 35.7 |
Bates Jones
|
F | 20 | 7.4 | 1.0 | 1.6 | 0.5 | 0.0 | 0.1 | 0.3 | 0.3 | 2.6 | -26 | 21 | -1.2 | -7.9 | 16.7 | 25.0 | 0 | -4.21 | 166.7 | 25.0 |
Nelson Boachie-Yiadom
|
- | 8 | 2.1 | 0.8 | 0.9 | 0.0 | 0.1 | 0.1 | 0.1 | 0.0 | 1.8 | -9 | 7 | -1.3 | -56.0 | 0 | 0 | 50.0 | -2.79 | 340.9 | 0 |
Cal Freundlich
|
G | 6 | 1.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 3 | 6 | 0.5 | 22.9 | 0.0 | 0.0 | 0 | -0.46 | 100.0 | 0.0 |
Patrick Casey
|
F | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | -1.07 | 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