UCF
2014 Team Stats (11 games)
66.4
PPG
77.0
Opp
-10.6
Margin
40.4%
FG%
28.1%
3P%
61.8%
FT%
37.4
RPG
10.4
APG
14.5
TO
-
Est. poss./game
72.6
Adj PPG
71.3
Adj Opp PPG
#149
Scoring Rank
Model Outputs
2013-2014
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 | 974 (#199) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 955 (#209) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 952 (#240) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +1.8 (#142) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +2.6 (#129) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.391 (#225) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.569 (#143) | AdjNet +2.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.571 (#141) | AdjNet +2.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.529 (#149) | AdjO 72.6 | AdjD 71.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.479 (#197) | AdjO 71.4 | AdjD 72.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.517 (#163) | 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 | 0.506 (#171) | 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 | 971 (#186) | RD 135 | GP 29 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Isaiah Sykes
|
G | 25 | 32.7 | 17.5 | 7.3 | 3.4 | 1.8 | 0.2 | 3.9 | 8.8 | 17.4 | -60 | 23 | -2.6 | -3.5 | 45.5 | 40.0 | 58.5 | 3.35 | 83.6 | 47.3 |
Calvin Newell
|
G | 25 | 28.8 | 11.0 | 2.5 | 2.8 | 1.7 | 0.1 | 2.4 | 5.6 | 10.0 | -26 | 24 | -1.1 | -1.6 | 32.9 | 21.0 | 72.9 | 1.38 | 85.3 | 37.5 |
Tristan Spurlock
|
F | 26 | 28.4 | 10.1 | 5.5 | 1.1 | 0.9 | 1.0 | 1.4 | 4.3 | 12.8 | -61 | 24 | -2.5 | -3.7 | 39.8 | 30.5 | 80.0 | -0.78 | 102.4 | 47.8 |
Kasey Wilson
|
F | 26 | 26.7 | 9.2 | 6.0 | 0.5 | 0.8 | 0.5 | 1.5 | 4.5 | 11.0 | -68 | 24 | -2.8 | -4.5 | 40.2 | 37.5 | 63.3 | -1.1 | 91.8 | 49.1 |
Matt Williams
|
G | 26 | 19.8 | 6.4 | 2.3 | 0.7 | 0.3 | 0.1 | 0.8 | 3.0 | 6.1 | -69 | 24 | -2.9 | -6.5 | 38.5 | 38.9 | 44.4 | -1.27 | 101.3 | 56.4 |
Staphon Blair
|
F | 26 | 18.3 | 4.9 | 3.5 | 0.1 | 0.1 | 1.5 | 0.9 | 2.7 | 6.5 | -110 | 24 | -4.6 | -10.4 | 52.1 | 0 | 46.7 | -2.96 | 76.0 | 52.1 |
Eugene McCrory
|
F | 21 | 14.6 | 4.4 | 2.9 | 0.2 | 0.2 | 0.6 | 0.6 | 1.4 | 6.3 | -17 | 19 | -0.9 | -2.9 | 51.7 | 0 | 54.5 | 0.14 | 135.9 | 51.7 |
Daiquan Walker
|
G | 25 | 14.6 | 4.0 | 1.2 | 1.6 | 0.2 | 0.1 | 0.9 | 1.9 | 4.4 | -93 | 23 | -4.0 | -12.0 | 41.7 | 22.7 | 82.4 | -3.51 | 90.1 | 46.9 |
Justin McBride
|
C | 13 | 8.8 | 3.8 | 2.4 | 0.0 | 0.0 | 0.4 | 0.6 | 1.8 | 4.2 | -17 | 13 | -1.3 | -5.4 | 58.3 | 0 | 53.3 | -0.37 | 81.7 | 58.3 |
Brandon Goodwin
|
G | 23 | 15.1 | 2.7 | 1.7 | 1.8 | 0.5 | 0.0 | 1.1 | 1.3 | 4.3 | -54 | 21 | -2.6 | -8.0 | 41.9 | 25.0 | 50.0 | -2.34 | 79.1 | 45.2 |
Steven Haney
|
F | 19 | 4.9 | 1.5 | 0.4 | 0.1 | 0.1 | 0.0 | 0.2 | 0.9 | 1.0 | 5 | 18 | 0.3 | 2.4 | 35.3 | 35.3 | 40.0 | 0.86 | 75.5 | 52.9 |
Dylan Karell
|
F | 15 | 6.4 | 0.7 | 1.1 | 0.2 | 0.1 | 0.3 | 0.3 | 0.3 | 1.8 | 46 | 10 | 4.6 | 23.8 | 60.0 | 0 | 66.7 | 1.46 | 79.1 | 60.0 |
Isaac Lang
|
G | 11 | 1.7 | 0.5 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | -0.1 | 14 | 8 | 1.8 | 30.4 | 28.6 | 16.7 | 0.0 | 0.85 | 33.6 | 35.7 |
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