Duquesne Dukes
2017 Team Stats (1 games)
71.0
PPG
72.0
Opp
-1.0
Margin
44.9%
FG%
47.6%
3P%
70.8%
FT%
29.0
RPG
11.0
APG
12.0
TO
-
Est. poss./game
70.6
Adj PPG
73.8
Adj Opp PPG
#214
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 | 866 (#247) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 864 (#269) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 845 (#342) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -3.1 (#211) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -3.8 (#221) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.355 (#244) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.398 (#201) | AdjNet -3.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.397 (#201) | AdjNet -3.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.429 (#214) | AdjO 70.6 | AdjD 73.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.408 (#261) | AdjO 70.2 | AdjD 74.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.339 (#257) | 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 | 0.335 (#264) | 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 | 845 (#275) | RD 135 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mike Lewis II
|
G | 20 | 31.8 | 14.9 | 2.0 | 1.6 | 0.7 | 0.1 | 2.2 | 5.2 | 11.8 | -12 | 29 | -0.4 | -0.5 | 44.2 | 38.7 | 84.0 | 1.33 | 118.3 | 55.8 |
Emile Blackman
|
G | 20 | 29.8 | 11.8 | 3.6 | 1.7 | 0.4 | 0.2 | 2.0 | 5.2 | 10.5 | -19 | 29 | -0.7 | -0.9 | 44.7 | 36.4 | 68.4 | 0.09 | 98.6 | 50.5 |
Isiaha Mike
|
F | 20 | 29.6 | 11.2 | 6.5 | 1.8 | 0.8 | 0.9 | 2.2 | 5.0 | 14.2 | 31 | 29 | 1.1 | 1.6 | 49.5 | 48.8 | 57.1 | 3.14 | 103.9 | 59.6 |
Josh Steel
|
G | 2 | 22.5 | 9.5 | 2.0 | 0.5 | 0.5 | 0.0 | 1.5 | 2.5 | 8.5 | - | - | - | - | 40.0 | 40.0 | 0 | - | 190.0 | 60.0 |
Tarin Smith
|
G | 20 | 28.4 | 8.8 | 3.5 | 3.2 | 1.2 | 0.2 | 2.2 | 3.9 | 10.9 | -87 | 29 | -3.0 | -4.5 | 34.6 | 22.2 | 61.8 | -4.48 | 94.7 | 37.2 |
R. Castro-Caneddy
|
G | 19 | 19.5 | 7.8 | 1.3 | 2.1 | 0.5 | 0.0 | 1.4 | 2.9 | 7.5 | - | - | - | - | 47.3 | 29.2 | 71.4 | - | 116.0 | 53.6 |
Nakye Sanders
|
F | 20 | 20.5 | 5.3 | 6.5 | 0.8 | 0.3 | 1.6 | 1.2 | 1.4 | 11.9 | -60 | 29 | -2.1 | -4.7 | 55.2 | 0 | 48.5 | -2.59 | 121.8 | 55.2 |
Darius Lewis
|
C | 20 | 14.8 | 3.9 | 4.8 | 0.7 | 0.2 | 0.8 | 1.0 | 1.5 | 7.8 | 36 | 27 | 1.3 | 3.9 | 50.0 | 0 | 64.7 | 2.1 | 102.7 | 50.0 |
Jordan Robinson
|
C | 9 | 6.9 | 3.8 | 2.2 | 0.2 | 0.0 | 0.2 | 0.3 | 1.4 | 4.7 | - | - | - | - | 69.2 | 0 | 100.0 | - | 115.2 | 69.2 |
Kale Abrahamson
|
F | 13 | 7.8 | 2.8 | 0.7 | 0.2 | 0.1 | 0.1 | 0.6 | 1.2 | 2.2 | -44 | 21 | -2.1 | -8.8 | 33.3 | 36.4 | 50.0 | -3.24 | 116.5 | 46.7 |
Caleb Davis
|
G | 1 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | -2.0 | - | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
Eric James
|
F | 17 | 9.1 | 1.7 | 2.1 | 0.5 | 0.4 | 0.2 | 0.4 | 0.9 | 3.5 | -12 | 23 | -0.5 | -2.2 | 20.0 | 14.3 | 75.0 | -1.18 | 86.5 | 23.3 |
Spencer Littleson
|
G | 17 | 7.8 | 1.5 | 1.1 | 0.7 | 0.3 | 0.0 | 0.2 | 1.1 | 2.2 | -43 | 22 | -2.0 | -9.8 | 21.1 | 28.6 | 80.0 | -4.1 | 59.0 | 31.6 |
Kellon Taylor
|
F | 7 | 4.0 | 0.9 | 0.7 | 0.0 | 0.3 | 0.1 | 0.3 | 0.4 | 1.3 | -26 | 11 | -2.4 | -20.4 | 66.7 | 0.0 | 66.7 | -2.7 | 69.4 | 66.7 |
David Haus
|
G | 4 | 2.0 | 0.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.8 | - | - | - | - | 0 | 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