Northern Arizona Lumberjacks
2022 Team Stats (7 games)
72.6
PPG
68.6
Opp
+4.0
Margin
44.4%
FG%
38.8%
3P%
73.7%
FT%
37.3
RPG
15.6
APG
15.4
TO
84.4
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 → | 904 (#322) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 992 (#244) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.3 (#248) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.482 (#187) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-13 | vs | Cal Poly Mustangs | W | 88 - 73 |
| 2021-12-17 | vs | Arizona Wildcats | L | 55 - 82 |
| 2022-01-10 | @ | Sacramento State Hornets | W | 68 - 57 |
| 2022-03-04 | vs | Idaho Vandals | W | 86 - 69 |
| 2022-03-08 | vs | Montana Lady Griz | W | 75 - 57 |
| 2022-03-09 | vs | Northern Colorado Bears | W | 72 - 67 |
| 2022-03-11 | @ | Montana State Bobcats | L | 64 - 75 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Maio
|
G | 6 | 25.0 | 11.2 | 3.3 | 1.8 | 1.3 | 0.2 | 2.5 | 9.5 | 5.8 | - | - | - | 47.4 | 33.3 | 75.0 | 0.29 | 52.3 | 48.2 |
L. Orndoff
|
G | 7 | 26.6 | 10.6 | 1.6 | 0.6 | 0.9 | 0.6 | 1.6 | 8.9 | 3.7 | - | - | - | 48.4 | 40.9 | 62.5 | 0.47 | 56.5 | 55.6 |
K. Rasheed
|
F | 7 | 25.6 | 9.7 | 6.9 | 1.3 | 0.9 | 0.4 | 1.3 | 8.9 | 9.0 | - | - | - | 46.8 | 33.3 | 60.0 | -0.24 | 49.6 | 47.6 |
E. Rodabaugh
|
G | 7 | 22.1 | 9.6 | 5.1 | 0.9 | 0.9 | 1.4 | 1.4 | 7.4 | 9.0 | - | - | - | 44.2 | 48.5 | 83.3 | -0.21 | 61.3 | 59.6 |
O. Moran
|
G | 7 | 15.4 | 8.7 | 3.1 | 0.9 | 0.7 | 0.0 | 0.9 | 6.4 | 6.1 | - | - | - | 53.3 | 50.0 | 69.2 | 0.45 | 60.1 | 57.8 |
R. Schenck
|
G | 7 | 33.4 | 6.1 | 5.7 | 6.1 | 1.0 | 0.0 | 3.3 | 6.4 | 9.3 | - | - | - | 31.1 | 16.7 | 92.9 | 0.22 | 42.0 | 33.3 |
N. Moran
|
G | 7 | 12.3 | 5.6 | 1.0 | 0.9 | 0.9 | 0.1 | 1.3 | 4.1 | 3.0 | -73 | -2.8 | -16.4 | 48.3 | 62.5 | 100.0 | 0.43 | 61.6 | 56.9 |
F. Jaiteh
|
F | 7 | 11.6 | 5.4 | 2.6 | 0.9 | 0.9 | 0.3 | 0.4 | 3.7 | 5.9 | 11 | 0.5 | 2.8 | 53.8 | 0 | 62.5 | 0.68 | 57.5 | 53.8 |
J. Nakai
|
G | 2 | 12.5 | 4.5 | 1.5 | 1.0 | 0.0 | 0.0 | 2.5 | 3.5 | 1.0 | - | - | - | 42.9 | 50.0 | 100.0 | -0.25 | 60.5 | 57.1 |
N. Radford
|
G | 7 | 22.1 | 4.1 | 3.1 | 1.9 | 0.7 | 0.1 | 1.4 | 5.7 | 2.9 | - | - | - | 30.0 | 22.7 | 0 | 0.26 | 36.2 | 36.2 |
S. Mich'l
|
F | 3 | 6.0 | 2.7 | 1.3 | 0.0 | 0.0 | 0.0 | 0.7 | 3.0 | 0.3 | - | - | - | 33.3 | 0 | 100.0 | 0.15 | 40.5 | 33.3 |
S. Bryant
|
F | 3 | 2.7 | 1.3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 1.3 | 0.7 | - | - | - | 50.0 | 0 | 0 | 0.0 | 50.0 | 50.0 |
T. McDaniel
|
G | 2 | 7.0 | 0.5 | 0.5 | 1.5 | 0.0 | 0.0 | 1.5 | 0.5 | 0.5 | 28 | 1.9 | 18.2 | 0.0 | 0.0 | 50.0 | 0.47 | 26.6 | 0.0 |
S. Ramesh
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.5 | 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