Air Force
2013 Team Stats (6 games)
74.7
PPG
67.8
Opp
+2.2
Margin
47.0%
FG%
40.5%
3P%
72.1%
FT%
24.5
RPG
17.0
APG
8.8
TO
71.5
Pace
Model Outputs
2012-2013
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 → | 955 (#653) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1104 (#310) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1023 (#139) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +19.4 (#240) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.7 (#148) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.335 (#85) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.263 (#151) | NetEff -10.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.349 (#80) | AdjNet -5.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.336 (#81) | AdjNet -5.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.542 (#162) | AdjO 67.3 | AdjD 65.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.757 (#112) | 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 → | 0.720 (#123) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1164 (#78) | RD 109 | GP 32 |
2013 Schedule & Results
2013 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Lyons
|
G | 30 | 31.6 | 17.7 | 3.9 | 2.3 | 1.0 | 0.1 | 1.9 | 8.2 | 15.0 | 219 | 6.3 | 9.0 | 50.6 | 31.7 | 67.1 | 0.67 | 95.6 | 57.3 |
M. Fitzgerald
|
F | 32 | 29.3 | 9.9 | 4.0 | 1.7 | 0.8 | 0.1 | 1.4 | 3.3 | 11.8 | -12 | -0.4 | -0.6 | 51.4 | 38.6 | 85.4 | 0.15 | 126.8 | 59.3 |
T. Fletcher
|
G | 32 | 32.0 | 9.5 | 2.9 | 3.7 | 1.1 | 0.0 | 1.2 | 3.9 | 12.1 | -32 | -1.0 | -1.5 | 55.2 | 51.5 | 50.0 | 0.21 | 117.5 | 69.2 |
T. Broekhuis
|
C | 32 | 25.2 | 8.3 | 3.9 | 1.2 | 0.6 | 0.9 | 1.5 | 3.1 | 10.4 | 31 | 1.0 | 1.7 | 51.0 | 34.6 | 54.3 | 0.63 | 115.7 | 55.5 |
K. Green
|
G | 32 | 17.0 | 5.4 | 1.6 | 1.6 | 0.6 | 0.0 | 1.2 | 2.0 | 6.0 | 40 | 1.2 | 3.0 | 23.4 | 22.2 | 77.3 | 0.8 | 118.1 | 31.2 |
C. Michael
|
G | 21 | 9.9 | 4.1 | 1.4 | 0.8 | 0.3 | 0.0 | 0.3 | 1.6 | 4.7 | 55 | 2.6 | 8.4 | 60.6 | 45.5 | 83.3 | 0.94 | 120.7 | 75.8 |
D. Earls
|
F | 32 | 14.2 | 3.9 | 3.1 | 1.5 | 0.5 | 0.1 | 1.3 | 1.8 | 5.9 | 50 | 1.6 | 4.7 | 60.7 | 57.1 | 45.0 | 0.87 | 97.2 | 67.9 |
M. Olesinski
|
F | 31 | 10.9 | 3.5 | 1.6 | 0.5 | 0.2 | 0.0 | 0.6 | 1.3 | 3.9 | 0 | 0.0 | 0.0 | 41.0 | 47.6 | 50.0 | 0.28 | 134.2 | 53.8 |
K. Williams
|
F | 30 | 11.5 | 3.3 | 2.4 | 0.9 | 0.5 | 0.3 | 0.7 | 1.4 | 5.3 | 210 | 6.2 | 7.9 | 58.1 | 57.1 | 71.4 | 1.72 | 95.7 | 62.8 |
J. Hammonds
|
F | 22 | 8.3 | 2.8 | 1.5 | 0.5 | 0.5 | 0.1 | 0.5 | 0.4 | 4.6 | -40 | -1.8 | -6.6 | 66.7 | 50.0 | 66.7 | -0.16 | 213.6 | 72.2 |
M. Yon
|
G | 26 | 8.9 | 2.7 | 1.1 | 0.6 | 0.2 | 0.0 | 0.6 | 1.3 | 2.7 | -42 | -1.6 | -5.4 | 44.1 | 20.0 | 100.0 | -0.5 | 98.9 | 47.1 |
T. Coggins
|
G | 31 | 10.1 | 2.4 | 1.4 | 1.1 | 0.6 | 0.0 | 0.9 | 0.8 | 3.8 | 59 | 1.9 | 5.8 | 48.0 | 35.7 | 78.6 | 0.8 | 117.1 | 58.0 |
E. Michael
|
F | 8 | 4.2 | 1.4 | 1.1 | 0.9 | 0.2 | 0.0 | 0.5 | 0.5 | 2.6 | 24 | 2.7 | 27.6 | 50.0 | 0 | 33.3 | 0.28 | 82.8 | 50.0 |
C. Kammerer
|
F | 14 | 3.5 | 0.8 | 0.4 | 0.4 | 0.0 | 0.0 | 0.1 | 0.5 | 0.9 | 10 | 0.7 | 5.6 | 42.9 | 0.0 | 50.0 | 0.14 | 57.1 | 42.9 |
Z. Moer
|
C | 6 | 1.8 | 0.8 | 0.3 | 0.0 | 0.0 | 0.3 | 0.0 | 0.5 | 1.0 | - | - | - | 66.7 | 100.0 | 0 | - | 83.3 | 83.3 |
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