Air Force
2015 Team Stats (2 games)
68.0
PPG
60.8
Opp
+7.7
Margin
51.5%
FG%
36.4%
3P%
72.7%
FT%
25.5
RPG
15.0
APG
13.5
TO
69.3
Pace
Model Outputs
2014-2015
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 → | 952 (#664) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1088 (#316) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.8 (#264) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.398 (#43) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.473 (#68) | AdjNet -1.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.476 (#67) | AdjNet -0.8 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-11-15 | vs | The Citadel Bulldogs | W | 68 - 55 |
| 2014-11-19 | vs | Colorado Christian Cougars | W | 70 - 47 |
| 2015-03-11 | @ | New Mexico Lobos | W | 68 - 61 |
| 2015-03-12 | @ | Boise State Broncos | L | 68 - 80 |
2015 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. Yon
|
G | 4 | 29.5 | 11.2 | 2.0 | 2.2 | 0.5 | 0.0 | 1.8 | 3.8 | 10.5 | - | - | - | 26.7 | 16.7 | 0 | - | 150.0 | 30.0 |
H. Graham
|
F | 4 | 28.0 | 9.8 | 4.5 | 1.8 | 0.5 | 0.5 | 2.2 | 3.0 | 11.8 | - | - | - | 66.7 | 0.0 | 66.7 | - | 133.2 | 66.7 |
Z. Kocur
|
G | 4 | 21.5 | 9.8 | 2.5 | 2.2 | 0.0 | 0.2 | 1.5 | 5.2 | 8.0 | - | - | - | 52.4 | 38.5 | 85.7 | - | 81.0 | 64.3 |
T. Lyons
|
G | 4 | 28.0 | 9.0 | 3.8 | 2.8 | 1.8 | 0.0 | 0.8 | 3.8 | 12.8 | - | - | - | 46.7 | 33.3 | 55.6 | - | 94.9 | 50.0 |
K. Williams
|
F | 1 | 20.0 | 8.0 | 7.0 | 2.0 | 0.0 | 0.0 | 2.0 | 0.0 | 15.0 | 22 | 2.2 | 6.5 | 0 | 0 | 0 | 0.68 | 0 | 0 |
M. Olesinski
|
F | 4 | 28.0 | 7.5 | 4.5 | 1.8 | 1.2 | 0.0 | 1.8 | 2.8 | 10.5 | - | - | - | 54.5 | 50.0 | 100.0 | - | 117.6 | 68.2 |
J. Hammonds
|
F | 4 | 16.0 | 5.2 | 3.2 | 2.2 | 1.0 | 0.2 | 1.2 | 1.5 | 9.2 | - | - | - | 50.0 | 0 | 66.7 | - | 121.5 | 50.0 |
D. Earls
|
F | 2 | 12.5 | 5.0 | 1.0 | 1.5 | 0.5 | 0.0 | 1.5 | 3.5 | 3.0 | - | - | - | 71.4 | 0 | 0 | - | 71.4 | 71.4 |
M. Mooney
|
G | 2 | 13.0 | 5.0 | 1.5 | 0.5 | 0.5 | 0.5 | 1.5 | 4.0 | 2.5 | - | - | - | 50.0 | 50.0 | 0 | - | 62.5 | 62.5 |
Z. Moer
|
C | 4 | 10.0 | 4.2 | 3.8 | 0.8 | 0.0 | 1.2 | 2.0 | 0.5 | 7.5 | - | - | - | 100.0 | 0 | 100.0 | - | 348.4 | 100.0 |
C. Siples
|
G | 2 | 10.0 | 2.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 3.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
R. Manning
|
F | 2 | 7.5 | 1.5 | 1.5 | 1.0 | 0.5 | 0.5 | 0.5 | 0.0 | 4.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Broekhuis
|
F | 1 | 5.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Van
|
G | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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