Boise State Broncos
2023 Team Stats (4 games)
69.0
PPG
55.2
Opp
+13.8
Margin
42.7%
FG%
43.3%
3P%
69.4%
FT%
49.0
RPG
14.8
APG
18.3
TO
84.8
Pace
Model Outputs
2022-2023
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 → | 1166 (#86) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1218 (#72) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.7 (#118) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.694 (#120) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-12 | vs | Evergreen State Geoducks | W | 97 - 31 |
| 2023-01-16 | @ | UNLV Lady Rebels | L | 61 - 73 |
| 2023-03-05 | vs | Utah State Aggies | W | 66 - 58 |
| 2023-03-06 | @ | Colorado State Rams | L | 52 - 59 |
2023 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. Hansen
|
G | 4 | 21.5 | 12.2 | 2.0 | 1.2 | 0.2 | 0.0 | 2.2 | 7.2 | 6.2 | - | - | - | 58.6 | 75.0 | 90.0 | - | 73.4 | 69.0 |
E. Lalotte
|
F | 4 | 24.2 | 9.8 | 8.8 | 1.2 | 1.0 | 0.2 | 2.0 | 7.5 | 11.5 | - | - | - | 63.3 | 0 | 25.0 | - | 61.4 | 63.3 |
A. Muse
|
F | 4 | 23.0 | 9.5 | 8.5 | 1.0 | 0.5 | 1.8 | 1.8 | 7.5 | 12.0 | - | - | - | 53.3 | 0 | 46.2 | - | 53.2 | 53.3 |
N. Pasco
|
G | 4 | 23.2 | 9.2 | 2.2 | 2.0 | 0.5 | 0.2 | 1.5 | 9.2 | 3.5 | - | - | - | 35.1 | 41.2 | 100.0 | - | 47.7 | 44.6 |
Mar. Naro
|
G | 4 | 28.5 | 6.0 | 3.0 | 3.5 | 0.5 | 0.2 | 2.8 | 5.5 | 5.0 | - | - | - | 36.4 | 38.5 | 100.0 | - | 51.5 | 47.7 |
A. Ostlie
|
G | 2 | 21.5 | 6.0 | 3.0 | 0.5 | 0.0 | 0.0 | 1.0 | 4.0 | 4.5 | - | - | - | 37.5 | 60.0 | 75.0 | - | 61.5 | 56.2 |
A. Hueckman
|
G | 2 | 9.5 | 5.5 | 2.5 | 1.0 | 0.0 | 0.5 | 0.5 | 4.0 | 5.0 | - | - | - | 50.0 | 40.0 | 100.0 | - | 65.2 | 62.5 |
D. Bayes
|
G | 4 | 20.8 | 5.2 | 2.8 | 1.0 | 0.0 | 0.0 | 2.2 | 6.8 | 0.0 | - | - | - | 25.9 | 27.3 | 100.0 | - | 36.5 | 31.5 |
T. Hull
|
F | 4 | 17.0 | 4.2 | 7.8 | 1.5 | 0.5 | 1.2 | 1.2 | 3.8 | 10.2 | - | - | - | 33.3 | 0 | 77.8 | - | 44.8 | 33.3 |
S. McQuietor
|
C | 1 | 12.0 | 4.0 | 3.0 | 1.0 | 0.0 | 0.0 | 2.0 | 3.0 | 3.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
L. Lovrovich
|
G | 3 | 7.3 | 4.0 | 1.0 | 0.0 | 0.0 | 0.3 | 1.7 | 2.0 | 1.7 | - | - | - | 66.7 | 100.0 | 50.0 | - | 77.3 | 83.3 |
Mac. Naro
|
G | 1 | 6.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 3.0 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
T. Thompson
|
F | 3 | 10.7 | 2.3 | 3.3 | 1.0 | 0.7 | 0.7 | 1.0 | 3.7 | 3.3 | - | - | - | 18.2 | 0.0 | 50.0 | - | 25.7 | 18.2 |
M. Simpson
|
F | 1 | 11.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0.0 | 1.0 | 5.0 | 0.0 | - | - | - | 20.0 | 0 | 0 | - | 20.0 | 20.0 |
J. Clark
|
G | 3 | 7.3 | 0.0 | 1.0 | 1.7 | 0.3 | 0.0 | 0.7 | 1.7 | 0.7 | - | - | - | 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