New Mexico State Aggies
2022 Team Stats (5 games)
67.2
PPG
55.2
Opp
+12.0
Margin
42.3%
FG%
28.9%
3P%
63.2%
FT%
43.4
RPG
11.8
APG
16.8
TO
85.9
Pace
Model Outputs
2021-2022
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 → | 1006 (#203) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 959 (#277) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.5 (#265) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.103 (#327) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-28 | vs | Nelson Lions | W | 110 - 40 |
| 2022-01-10 | vs | Lamar Cardinals | W | 57 - 53 |
| 2022-02-08 | vs | Seattle U Redhawks | W | 59 - 54 |
| 2022-03-03 | @ | Stephen F. Austin Ladyjacks | L | 56 - 64 |
| 2022-03-08 | @ | Lamar Cardinals | L | 54 - 65 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Sarr
|
F | 5 | 24.6 | 17.0 | 10.6 | 0.4 | 0.0 | 0.8 | 2.4 | 11.2 | 15.2 | - | - | - | 69.6 | 0 | 63.6 | 0.07 | 69.9 | 69.6 |
J. Johnson
|
G | 1 | 18.0 | 8.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 9.0 | 1.0 | -17 | -8.5 | -175.9 | 33.3 | 28.6 | 0 | 1.89 | 44.4 | 44.4 |
K. Watkins
|
F | 1 | 18.0 | 7.0 | 6.0 | 2.0 | 2.0 | 1.0 | 0.0 | 12.0 | 6.0 | -26 | -26.0 | -1950.0 | 25.0 | 16.7 | 0 | 1.28 | 29.2 | 29.2 |
M. Isbell
|
G | 4 | 25.8 | 7.0 | 1.2 | 2.2 | 1.5 | 0.0 | 0.8 | 5.0 | 6.2 | - | - | - | 45.0 | 53.8 | 37.5 | 0.44 | 59.5 | 62.5 |
S. Inoussa
|
G | 5 | 28.6 | 6.4 | 2.8 | 1.2 | 1.4 | 0.2 | 2.0 | 6.8 | 3.2 | -20 | -1.7 | -13.0 | 35.3 | 21.4 | 83.3 | 0.34 | 43.7 | 39.7 |
J. Bradley
|
G | 5 | 16.6 | 5.4 | 2.8 | 1.0 | 0.8 | 0.2 | 2.4 | 4.0 | 3.8 | - | - | - | 40.0 | 40.0 | 56.2 | 0.03 | 49.9 | 45.0 |
M. Kaiser
|
G | 5 | 15.2 | 5.2 | 0.8 | 1.2 | 0.6 | 0.2 | 1.2 | 4.8 | 2.0 | -37 | -1.9 | -8.8 | 45.8 | 25.0 | 50.0 | 0.5 | 48.8 | 47.9 |
F. Thiam
|
G | 5 | 9.8 | 5.2 | 2.8 | 1.0 | 0.4 | 0.0 | 1.8 | 4.2 | 3.4 | 37 | 2.8 | 19.0 | 42.9 | 36.4 | 66.7 | 0.48 | 55.0 | 52.4 |
G. Colaivalu
|
G | 2 | 9.0 | 5.0 | 0.0 | 0.0 | 1.5 | 0.0 | 2.5 | 4.0 | 0.0 | - | - | - | 62.5 | 0 | 0 | -0.02 | 62.5 | 62.5 |
S. Peterson
|
G | 5 | 8.4 | 5.0 | 1.8 | 0.6 | 0.6 | 0.0 | 0.0 | 4.2 | 3.8 | - | - | - | 38.1 | 23.1 | 85.7 | 0.45 | 51.9 | 45.2 |
S. Harper
|
F | 5 | 12.8 | 4.6 | 4.0 | 0.2 | 0.6 | 0.2 | 0.2 | 5.2 | 4.2 | - | - | - | 38.5 | 0 | 50.0 | 0.62 | 40.2 | 38.5 |
A. Henderson
|
G | 2 | 29.0 | 4.0 | 3.0 | 3.0 | 1.0 | 0.0 | 4.0 | 5.0 | 2.0 | - | - | - | 20.0 | 0.0 | 100.0 | 0.04 | 34.0 | 20.0 |
D. Terrell
|
F | 4 | 11.8 | 3.0 | 3.5 | 0.0 | 0.2 | 1.0 | 0.2 | 3.2 | 4.2 | -19 | -0.9 | -6.2 | 38.5 | 0.0 | 100.0 | 0.2 | 43.2 | 38.5 |
T. Grays
|
G | 4 | 17.8 | 2.2 | 4.5 | 0.8 | 0.5 | 0.0 | 2.0 | 4.8 | 1.2 | - | - | - | 21.1 | 0.0 | 50.0 | 0.03 | 22.6 | 21.1 |
T. Donaldson
|
G | 4 | 12.2 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 1.0 | -35 | -2.3 | -14.1 | 25.0 | 25.0 | 50.0 | 0.17 | 31.1 | 29.2 |
M. Shida
|
G | 4 | 9.5 | 0.5 | 0.2 | 1.8 | 0.2 | 0.0 | 0.5 | 1.8 | 0.5 | - | - | - | 14.3 | 0.0 | 0 | 0.5 | 14.3 | 14.3 |
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