Davidson
2015 Team Stats (7 games)
68.3
PPG
78.0
Opp
-9.7
Margin
40.3%
FG%
34.8%
3P%
64.9%
FT%
31.6
RPG
16.0
APG
9.1
TO
-
Est. poss./game
77.9
Adj PPG
66.8
Adj Opp PPG
#33
Scoring Rank
Model Outputs
2014-2015
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 | 1229 (#47) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1223 (#31) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1107 (#42) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +11.7 (#37) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +9.3 (#47) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.797 (#28) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.874 (#48) | AdjNet +16.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.876 (#49) | AdjNet +16.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.732 (#33) | AdjO 77.9 | AdjD 66.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.637 (#44) | AdjO 73.9 | AdjD 67.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.776 (#40) | 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 | 0.761 (#41) | 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 | 1237 (#33) | RD 112 | GP 31 |
2015 Schedule & Results
2015 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jack Gibbs
|
G | 22 | 30.7 | 17.0 | 3.7 | 4.6 | 1.5 | 0.0 | 2.6 | 5.1 | 19.0 | 98 | 18 | 5.4 | 8.2 | 37.2 | 36.5 | 85.7 | 1.33 | 135.5 | 47.3 |
Tyler Kalinoski
|
G | 29 | 35.3 | 16.8 | 5.5 | 4.1 | 1.2 | 0.4 | 1.3 | 5.6 | 21.1 | 144 | 22 | 6.5 | 8.6 | 45.1 | 41.5 | 72.2 | 0.15 | 137.2 | 55.6 |
Brian Sullivan
|
G | 29 | 33.6 | 12.7 | 3.0 | 3.8 | 0.7 | 0.0 | 1.5 | 4.3 | 14.4 | 147 | 22 | 6.7 | 9.3 | 37.9 | 35.7 | 88.5 | 2.18 | 135.5 | 50.0 |
Jordan Barham
|
G | 28 | 22.4 | 11.8 | 6.0 | 1.2 | 0.4 | 0.4 | 1.1 | 3.1 | 15.6 | 40 | 22 | 1.8 | 4.0 | 57.5 | 60.0 | 61.1 | -1.84 | 160.9 | 59.2 |
Peyton Aldridge
|
F | 29 | 30.7 | 9.2 | 5.0 | 1.5 | 0.4 | 1.2 | 0.9 | 3.7 | 12.8 | 181 | 22 | 8.2 | 12.4 | 46.7 | 35.4 | 66.7 | 4.26 | 119.3 | 54.7 |
Jake Belford
|
F | 5 | 20.2 | 7.8 | 3.2 | 2.4 | 0.0 | 0.6 | 1.2 | 2.0 | 10.8 | 51 | 6 | 8.5 | 18.2 | 40.0 | 0.0 | 71.4 | 1.24 | 149.1 | 40.0 |
Oskar Michelsen
|
F | 29 | 17.4 | 5.2 | 1.7 | 0.7 | 0.3 | 0.2 | 0.5 | 1.6 | 6.0 | 90 | 22 | 4.1 | 9.4 | 36.2 | 36.4 | 45.5 | 0.69 | 145.6 | 48.9 |
Jordan Watkins
|
G | 19 | 11.6 | 3.5 | 1.2 | 0.9 | 0.4 | 0.0 | 0.6 | 0.5 | 4.8 | 65 | 17 | 3.8 | 22.2 | 20.0 | 33.3 | 75.0 | 5.02 | 244.1 | 30.0 |
Nathan Ekwu
|
F | 28 | 11.4 | 3.0 | 2.9 | 0.4 | 0.4 | 0.5 | 0.9 | 0.6 | 5.6 | 53 | 21 | 2.5 | 9.4 | 50.0 | 0.0 | 14.3 | -1.71 | 199.2 | 50.0 |
Andrew McAuliffe
|
F | 29 | 12.6 | 2.7 | 2.9 | 0.3 | 0.4 | 0.2 | 0.4 | 0.8 | 5.3 | 28 | 22 | 1.3 | 4.8 | 58.3 | 0 | 28.6 | -1.05 | 145.9 | 58.3 |
Kamau Faines
|
G | 5 | 1.2 | 1.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 1.2 | -4 | 5 | -0.8 | -33.3 | 0 | 0 | 0 | -1.27 | 0 | 0 |
Connor Perkey
|
F | 6 | 2.0 | 1.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 1.2 | -9 | 6 | -1.5 | -28.3 | 0 | 0 | 0 | -2.31 | 0 | 0 |
Ali Mackay
|
F | 14 | 4.1 | 0.9 | 0.4 | 0.2 | 0.2 | 0.0 | 0.1 | 0.0 | 1.6 | -3 | 13 | -0.2 | -2.7 | 0 | 0 | 0 | -1.97 | 0 | 0 |
Matt Williams
|
G | 9 | 1.8 | 0.3 | 0.4 | 0.1 | 0.0 | 0.0 | 0.3 | 0.0 | 0.6 | -7 | 7 | -1.0 | -23.4 | 0 | 0 | 0 | -2.29 | 0 | 0 |
Rusty Reigel
|
G | 9 | 2.3 | 0.2 | 0.2 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.3 | -9 | 9 | -1.0 | -16.3 | 100.0 | 0 | 0 | -2.26 | 100.0 | 100.0 |
Manu Giamoukis
|
G | 8 | 1.6 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | -10 | 9 | -1.1 | -29.8 | 0 | 0 | 0 | -2.28 | 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