Air Force
2018 Team Stats (2 games)
69.0
PPG
83.0
Opp
-15.0
Margin
39.2%
FG%
33.3%
3P%
59.5%
FT%
30.5
RPG
16.0
APG
10.5
TO
81.1
Pace
Model Outputs
2017-2018
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 → | 909 (#795) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1100 (#276) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.7 (#264) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.075 (#97) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.112 (#99) | AdjNet -18.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.111 (#99) | AdjNet -17.9 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-12-08 | @ | UC Riverside Highlanders | L | 48 - 67 |
| 2017-12-27 | @ | New Mexico Lobos | L | 58 - 87 |
| 2018-01-10 | vs | UNLV Rebels | L | 76 - 81 |
| 2018-03-07 | @ | UNLV Rebels | L | 90 - 97 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Scottie
|
F | 4 | 31.0 | 16.2 | 5.0 | 1.5 | 0.8 | 0.2 | 2.0 | 5.2 | 16.5 | - | - | - | 52.4 | 40.0 | 60.0 | - | 140.1 | 57.1 |
R. Swan
|
C | 4 | 23.0 | 11.5 | 4.2 | 0.5 | 1.0 | 0.2 | 1.0 | 4.5 | 12.0 | - | - | - | 44.4 | 66.7 | 71.4 | - | 109.1 | 50.0 |
T. Lyons
|
G | 4 | 33.0 | 7.5 | 4.0 | 3.2 | 0.5 | 0.0 | 1.2 | 4.0 | 10.0 | - | - | - | 37.5 | 50.0 | 57.1 | - | 78.6 | 46.9 |
J. DeWane
|
F | 2 | 8.5 | 6.5 | 2.5 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 8.0 | - | - | - | 50.0 | 0 | 50.0 | - | 133.2 | 50.0 |
C. Morris
|
G | 3 | 15.0 | 6.3 | 2.3 | 1.3 | 0.0 | 0.0 | 0.7 | 3.7 | 5.7 | - | - | - | 54.5 | 50.0 | 50.0 | - | 80.0 | 72.7 |
J. Van
|
G | 4 | 13.8 | 6.2 | 0.8 | 0.8 | 0.2 | 0.2 | 0.8 | 3.8 | 3.8 | - | - | - | 40.0 | 37.5 | 100.0 | - | 72.7 | 50.0 |
F. Toohey
|
C | 4 | 14.5 | 6.2 | 2.8 | 0.2 | 0.2 | 0.2 | 0.2 | 2.0 | 7.5 | - | - | - | 50.0 | 33.3 | 66.7 | - | 134.1 | 56.2 |
P. Louder
|
G | 3 | 12.0 | 4.0 | 1.3 | 1.0 | 1.0 | 0.3 | 1.3 | 1.7 | 4.7 | - | - | - | 0.0 | 0.0 | 0 | - | 120.0 | 0.0 |
R. Manning
|
F | 4 | 16.0 | 3.0 | 4.2 | 0.8 | 0.2 | 0.0 | 1.0 | 3.5 | 3.8 | - | - | - | 28.6 | 33.3 | 25.0 | - | 38.1 | 39.3 |
K. Van Soelen
|
F | 4 | 14.5 | 3.0 | 1.8 | 0.2 | 0.5 | 0.0 | 1.0 | 0.2 | 4.2 | - | - | - | 100.0 | 0 | 0 | - | 600.0 | 100.0 |
C. Siples
|
G | 3 | 16.0 | 2.7 | 1.0 | 1.3 | 1.3 | 0.0 | 1.7 | 1.7 | 3.0 | - | - | - | 20.0 | 0.0 | 0 | - | 80.0 | 20.0 |
S. Tomes
|
G | 4 | 15.8 | 0.8 | 1.8 | 1.2 | 1.0 | 0.5 | 0.8 | 1.0 | 3.5 | - | - | - | 0.0 | 0.0 | 0 | - | 37.5 | 0.0 |
D. Norman
|
F | 3 | 3.7 | 0.3 | 1.3 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.7 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Joyce
|
G | 3 | 3.7 | 0.3 | 1.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.7 | 1.3 | - | - | - | 0.0 | 0.0 | 0.0 | - | 17.4 | 0.0 |
L. Brown
|
G | 3 | 3.0 | 0.0 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 26 | 3.2 | 14.8 | 0.0 | 0.0 | 0 | 0.47 | 0.0 | 0.0 |
A. Akaya
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 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