Air Force
2014 Team Stats (5 games)
60.8
PPG
73.6
Opp
-12.8
Margin
44.3%
FG%
28.9%
3P%
65.3%
FT%
29.6
RPG
11.4
APG
13.4
TO
70.6
Pace
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 → | 957 (#647) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1092 (#312) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.8 (#269) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.100 (#101) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.146 (#99) | AdjNet -15.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.147 (#98) | AdjNet -15.2 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-27 | vs | Richmond Spiders | L | 60 - 83 |
| 2013-11-30 | vs | Colorado Buffaloes | L | 57 - 81 |
| 2014-01-12 | vs | San Diego State Aztecs | L | 72 - 79 |
| 2014-02-15 | @ | San Diego State Aztecs | L | 56 - 64 |
| 2014-03-12 | @ | Fresno State Bulldogs | L | 59 - 61 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Coggins
|
G | 5 | 37.4 | 18.4 | 2.8 | 2.6 | 0.8 | 0.2 | 3.6 | 15.2 | 6.0 | - | - | - | 42.1 | 30.8 | 84.2 | - | 54.5 | 50.0 |
M. Yon
|
G | 5 | 32.4 | 12.2 | 2.2 | 1.2 | 0.6 | 0.0 | 2.4 | 8.8 | 5.0 | - | - | - | 47.7 | 33.3 | 72.2 | - | 58.7 | 54.5 |
K. Williams
|
F | 3 | 31.7 | 10.3 | 8.0 | 0.7 | 0.3 | 1.0 | 1.7 | 10.0 | 8.7 | 22 | 2.2 | 6.5 | 43.3 | 28.6 | 60.0 | 0.68 | 48.1 | 46.7 |
D. Earls
|
F | 3 | 24.3 | 8.0 | 4.0 | 2.7 | 0.7 | 0.0 | 0.7 | 5.7 | 9.0 | - | - | - | 58.8 | 0.0 | 36.4 | - | 54.9 | 58.8 |
M. Olesinski
|
F | 5 | 29.0 | 7.8 | 4.4 | 1.8 | 0.4 | 0.2 | 1.6 | 6.8 | 6.2 | - | - | - | 38.2 | 21.4 | 62.5 | - | 47.5 | 42.6 |
J. Hammonds
|
F | 5 | 22.8 | 5.0 | 4.0 | 1.0 | 0.4 | 1.2 | 1.2 | 3.2 | 7.2 | - | - | - | 56.2 | 25.0 | 50.0 | - | 58.7 | 59.4 |
Z. Moer
|
C | 2 | 8.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | 2.0 | - | - | - | 50.0 | 0.0 | 100.0 | - | 69.4 | 50.0 |
N. Jorgensen
|
F | 2 | 15.0 | 2.5 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.5 | 4.0 | - | - | - | 40.0 | 0.0 | 50.0 | - | 42.5 | 40.0 |
D. Parker
|
F | 2 | 25.0 | 2.5 | 3.0 | 1.0 | 0.0 | 1.0 | 2.0 | 2.5 | 3.0 | 63 | 4.5 | 5.2 | 40.0 | 0 | 50.0 | 1.03 | 42.5 | 40.0 |
H. Graham
|
F | 1 | 15.0 | 2.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 2.0 | 4.0 | - | - | - | 50.0 | 0 | 0.0 | - | 41.0 | 50.0 |
Z. Kocur
|
G | 5 | 12.0 | 2.0 | 2.0 | 1.2 | 0.0 | 0.0 | 1.0 | 1.6 | 2.6 | - | - | - | 37.5 | 50.0 | 66.7 | - | 53.6 | 50.0 |
C. Kammerer
|
F | 5 | 7.4 | 0.4 | 1.2 | 0.2 | 0.4 | 0.2 | 0.0 | 0.6 | 1.8 | - | - | - | 0.0 | 0 | 100.0 | - | 25.8 | 0.0 |
E. Michael
|
F | 1 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Adler
|
G | 2 | 1.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Long
|
G | 2 | 4.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | - | - | - | 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