Delaware State
2015 Team Stats (5 games)
66.4
PPG
66.6
Opp
-0.2
Margin
43.6%
FG%
35.4%
3P%
67.0%
FT%
32.8
RPG
10.0
APG
10.2
TO
-
Est. poss./game
65.3
Adj PPG
73.0
Adj Opp PPG
#296
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 | 865 (#264) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 953 (#213) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1019 (#139) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -8.3 (#296) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -6.8 (#281) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.342 (#252) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.177 (#298) | AdjNet -13.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.172 (#298) | AdjNet -13.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.333 (#296) | AdjO 65.3 | AdjD 73.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.424 (#257) | AdjO 67.3 | AdjD 70.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.330 (#269) | 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 | 0.348 (#265) | 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 | 901 (#250) | RD 111 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Amere May
|
G | 28 | 34.2 | 20.2 | 4.0 | 2.5 | 0.9 | 0.2 | 2.9 | 6.2 | 18.8 | -19 | 21 | -0.9 | -1.4 | 37.9 | 29.6 | 80.8 | 0.23 | 143.5 | 44.0 |
Tyshawn Bell
|
F | 31 | 29.9 | 11.4 | 5.6 | 0.9 | 0.9 | 0.2 | 0.9 | 3.2 | 14.9 | 3 | 24 | 0.1 | 0.2 | 41.8 | 31.7 | 81.8 | 3.12 | 171.1 | 51.5 |
Kendall Gray
|
C | 30 | 34.0 | 10.8 | 11.2 | 1.0 | 0.5 | 3.0 | 2.1 | 2.3 | 22.2 | -82 | 22 | -3.7 | -5.0 | 54.4 | 0 | 62.8 | -4.34 | 186.4 | 54.4 |
Kendal Williams
|
G | 29 | 24.2 | 8.1 | 2.5 | 2.9 | 0.3 | 0.0 | 1.4 | 2.0 | 10.5 | -19 | 21 | -0.9 | -1.7 | 36.8 | 39.1 | 68.8 | 0.2 | 184.3 | 44.7 |
DeAndre Haywood
|
G | 30 | 19.7 | 6.4 | 2.1 | 1.4 | 0.9 | 0.1 | 1.9 | 1.5 | 7.5 | -62 | 22 | -2.8 | -6.3 | 32.6 | 28.6 | 72.0 | -1.86 | 169.3 | 37.0 |
Larry Haley
|
G | 3 | 9.3 | 6.3 | 1.3 | 0.3 | 0.0 | 0.0 | 0.3 | 3.3 | 4.3 | - | - | - | - | 60.0 | 50.0 | 100.0 | - | 87.3 | 75.0 |
Todd Hughes
|
G | 22 | 15.3 | 5.8 | 2.2 | 0.4 | 0.4 | 0.4 | 0.8 | 2.9 | 5.5 | -57 | 15 | -3.8 | -13.6 | 54.0 | 57.1 | 63.2 | -2.86 | 89.7 | 60.3 |
Kavon Waller
|
F | 31 | 12.8 | 3.4 | 1.6 | 0.4 | 0.1 | 0.1 | 0.7 | 1.1 | 3.8 | 1 | 23 | 0.0 | 0.2 | 61.8 | 45.5 | 85.7 | -1.03 | 142.9 | 69.1 |
Aric Dickerson
|
G | 27 | 11.2 | 2.4 | 0.7 | 0.3 | 0.3 | 0.0 | 0.9 | 1.0 | 1.8 | -68 | 18 | -3.8 | -15.0 | 38.5 | 31.6 | 0.0 | -3.07 | 119.0 | 50.0 |
Mrdjan Gasevic
|
F | 21 | 8.7 | 2.2 | 2.2 | 0.1 | 0.1 | 0.1 | 0.6 | 1.2 | 3.1 | - | - | - | - | 56.0 | 0 | 60.0 | - | 79.9 | 56.0 |
Charles Burley
|
G | 28 | 18.2 | 2.0 | 2.4 | 2.9 | 0.7 | 0.0 | 1.9 | 0.8 | 5.3 | -29 | 21 | -1.4 | -4.3 | 17.4 | 20.0 | 73.3 | -1.01 | 94.6 | 21.7 |
Artem Tavakalyan
|
F | 10 | 5.5 | 1.5 | 0.9 | 0.1 | 0.1 | 0.1 | 0.3 | 0.0 | 2.4 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Quincy Tillinghast
|
G | 6 | 5.2 | 1.3 | 0.7 | 0.7 | 0.2 | 0.0 | 0.5 | 0.7 | 1.7 | - | - | - | - | 50.0 | 33.3 | 0 | - | 100.0 | 62.5 |
Jason Owens
|
F | 13 | 5.6 | 1.2 | 1.1 | 0.2 | 0.0 | 0.0 | 0.5 | 0.5 | 1.5 | -34 | 11 | -3.1 | -20.4 | 66.7 | 0.0 | 0 | -2.52 | 133.3 | 66.7 |
Scott Sill
|
F | 20 | 5.5 | 1.1 | 1.0 | 0.1 | 0.1 | 0.1 | 0.2 | 0.5 | 1.8 | -24 | 18 | -1.3 | -11.0 | 33.3 | 25.0 | 33.3 | -2.69 | 106.6 | 38.9 |
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