UIC Flames
2014 Team Stats (2 games)
82.5
PPG
81.0
Opp
+1.5
Margin
43.8%
FG%
34.0%
3P%
76.1%
FT%
37.5
RPG
13.5
APG
12.0
TO
-
Est. poss./game
65.3
Adj PPG
71.3
Adj Opp PPG
#272
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 | 765 (#321) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 737 (#326) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 843 (#343) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -6.1 (#265) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -6.0 (#264) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.215 (#314) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.262 (#263) | AdjNet -9.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.261 (#263) | AdjNet -9.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.367 (#272) | AdjO 65.3 | AdjD 71.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.385 (#287) | AdjO 64.2 | AdjD 69.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.265 (#295) | 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 | 0.268 (#302) | 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 | 728 (#324) | RD 166 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kelsey Barlow
|
G | 2 | 32.0 | 23.0 | 6.0 | 6.5 | 1.0 | 0.0 | 2.5 | 9.0 | 25.0 | -75 | 20 | -3.8 | -5.2 | 50.0 | 41.7 | 88.5 | 0.15 | 78.1 | 63.9 |
Marc Brown
|
G | 22 | 29.5 | 11.3 | 2.9 | 1.5 | 0.9 | 0.0 | 2.2 | 2.7 | 11.6 | -86 | 20 | -4.3 | -6.3 | 46.7 | 45.0 | 77.5 | -0.49 | 160.4 | 54.2 |
Jake Wiegand
|
F | 22 | 22.0 | 8.0 | 5.6 | 0.3 | 0.5 | 0.1 | 0.9 | 1.7 | 11.9 | -68 | 20 | -3.4 | -7.0 | 47.4 | 0.0 | 75.0 | -1.47 | 175.9 | 47.4 |
Pat Birt
|
G | 2 | 17.5 | 7.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.5 | 4.5 | 4.0 | -14 | 20 | -0.7 | -1.5 | 55.6 | 50.0 | 100.0 | 1.19 | 70.9 | 66.7 |
Hayden Humes
|
F | 19 | 25.7 | 6.7 | 3.2 | 0.9 | 0.4 | 0.2 | 1.1 | 2.1 | 8.2 | -49 | 17 | -2.9 | -4.8 | 35.9 | 36.0 | 75.0 | 0.27 | 150.5 | 47.4 |
Jay Parker
|
G | 17 | 19.8 | 4.1 | 2.4 | 2.9 | 1.2 | 0.2 | 1.8 | 0.8 | 8.4 | -52 | 15 | -3.5 | -7.5 | 53.8 | 0.0 | 85.7 | -0.85 | 182.7 | 53.8 |
Jordan Harks
|
F | 2 | 9.0 | 4.0 | 3.0 | 0.5 | 0.0 | 0.0 | 0.5 | 3.0 | 4.0 | -37 | 20 | -1.9 | -3.4 | 66.7 | 0 | 0.0 | 0.73 | 54.6 | 66.7 |
Lance Whitaker
|
G | 2 | 17.5 | 4.0 | 2.0 | 2.0 | 0.5 | 0.0 | 1.0 | 1.0 | 6.5 | - | - | - | - | 50.0 | 0 | 100.0 | - | 138.9 | 50.0 |
Gabe Snider
|
G | 18 | 13.7 | 3.8 | 1.2 | 0.2 | 0.2 | 0.2 | 0.4 | 1.3 | 3.8 | -58 | 13 | -4.5 | -18.5 | 50.0 | 50.0 | 0 | -5.76 | 143.8 | 64.6 |
Markese McGuire
|
G | 21 | 11.3 | 3.0 | 1.0 | 0.1 | 0.3 | 0.0 | 0.7 | 1.0 | 2.7 | -79 | 19 | -4.2 | -14.6 | 28.6 | 16.7 | 66.7 | -4.22 | 131.1 | 31.0 |
Will Simonton
|
C | 15 | 9.5 | 2.2 | 1.8 | 0.1 | 0.2 | 0.7 | 0.3 | 0.3 | 4.3 | -40 | 13 | -3.1 | -13.4 | 40.0 | 0 | 50.0 | -2.02 | 280.6 | 40.0 |
Ahman Fells
|
F | 17 | 8.4 | 2.1 | 1.9 | 0.1 | 0.4 | 0.2 | 0.4 | 0.7 | 3.5 | -11 | 15 | -0.7 | -4.4 | 41.7 | 0.0 | 60.0 | 0.32 | 126.8 | 41.7 |
Joey Miller
|
G | 5 | 6.0 | 0.8 | 0.0 | 0.4 | 0.2 | 0.0 | 0.8 | 0.6 | 0.0 | - | - | - | - | 33.3 | 0.0 | 100.0 | -2.71 | 51.5 | 33.3 |
Frank Dounis
|
G | 4 | 1.8 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.2 | - | - | - | - | 0 | 0 | 0 | -0.9 | 0 | 0 |
H. Lauer
|
F | 7 | 3.1 | 0.4 | 0.6 | 0.0 | 0.1 | 0.0 | 0.1 | 0.1 | 0.9 | - | - | - | - | 0.0 | 0 | 100.0 | -1.09 | 79.8 | 0.0 |
Marcus White
|
G | 7 | 6.3 | 0.4 | 0.0 | 0.7 | 0.3 | 0.0 | 0.0 | 1.0 | 0.4 | -28 | 6 | -4.7 | -27.5 | 14.3 | 16.7 | 0 | -4.78 | 21.4 | 21.4 |
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