Michigan State Spartans
2023 Team Stats (10 games)
71.0
PPG
80.3
Opp
-9.3
Margin
38.2%
FG%
31.3%
3P%
67.9%
FT%
36.4
RPG
15.0
APG
15.6
TO
89.5
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 → | 1398 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1424 (#7) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +47.8 (#17) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.912 (#30) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-24 | vs | Iowa State Cyclones | L | 49 - 80 |
| 2022-12-11 | @ | Ohio State Buckeyes | L | 68 - 74 |
| 2022-12-29 | vs | Indiana Hoosiers | W | 83 - 78 |
| 2023-01-07 | @ | Maryland Terrapins | L | 85 - 94 |
| 2023-01-14 | @ | Michigan Wolverines | L | 55 - 70 |
| 2023-01-18 | vs | Iowa Hawkeyes | L | 81 - 84 |
| 2023-01-29 | @ | Illinois Fighting Illini | L | 76 - 86 |
| 2023-02-05 | vs | Michigan Wolverines | L | 67 - 77 |
| 2023-02-18 | vs | Maryland Terrapins | L | 61 - 66 |
| 2023-03-03 | @ | Indiana Hoosiers | L | 85 - 94 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. McDaniel
|
G | 10 | 26.6 | 15.4 | 3.2 | 1.8 | 1.1 | 0.3 | 2.5 | 13.6 | 5.7 | - | - | - | 38.2 | 35.0 | 81.8 | - | 49.6 | 43.4 |
M. Ekh
|
G | 9 | 30.2 | 10.6 | 2.8 | 2.0 | 0.7 | 0.0 | 1.2 | 9.1 | 5.7 | - | - | - | 40.2 | 34.6 | 84.6 | - | 54.1 | 51.2 |
D. Hagemann
|
G | 10 | 33.6 | 9.9 | 2.2 | 4.9 | 2.3 | 0.2 | 2.3 | 8.6 | 8.6 | - | - | - | 31.4 | 25.0 | 81.0 | - | 47.4 | 37.8 |
M. Joiner
|
G | 10 | 29.2 | 9.8 | 6.0 | 2.5 | 1.6 | 0.2 | 1.8 | 10.6 | 7.7 | - | - | - | 34.0 | 37.5 | 66.7 | - | 44.0 | 42.5 |
G. Elliott
|
G | 2 | 27.0 | 8.5 | 6.5 | 1.5 | 0.0 | 1.5 | 2.0 | 7.5 | 8.5 | - | - | - | 53.3 | 33.3 | 0 | - | 56.7 | 56.7 |
T. Parks
|
F | 9 | 19.1 | 6.9 | 5.7 | 0.3 | 0.7 | 0.4 | 1.7 | 5.8 | 6.6 | - | - | - | 50.0 | 0.0 | 52.6 | - | 51.4 | 50.0 |
I. Alexander
|
F | 10 | 16.7 | 6.2 | 4.2 | 0.4 | 0.5 | 0.4 | 1.3 | 4.4 | 6.0 | - | - | - | 59.1 | 0 | 40.0 | - | 56.4 | 59.1 |
J. Ayrault
|
G | 10 | 12.3 | 4.6 | 3.1 | 0.3 | 0.3 | 0.9 | 1.0 | 4.5 | 3.7 | - | - | - | 35.6 | 31.0 | 55.6 | - | 47.0 | 45.6 |
T. Ozment
|
G | 10 | 16.3 | 3.1 | 2.9 | 1.6 | 0.6 | 0.1 | 1.6 | 3.8 | 2.9 | - | - | - | 26.3 | 30.8 | 63.6 | - | 36.2 | 31.6 |
A. Kimball
|
G | 8 | 8.1 | 3.1 | 0.8 | 0.1 | 0.1 | 0.1 | 0.6 | 3.4 | 0.2 | - | - | - | 37.0 | 23.8 | 0 | - | 46.3 | 46.3 |
S. Visscher
|
G | 9 | 6.1 | 1.4 | 1.4 | 0.4 | 0.3 | 0.0 | 0.2 | 1.7 | 1.8 | - | - | - | 20.0 | 20.0 | 75.0 | - | 35.1 | 23.3 |
B. Rewers
|
F | 3 | 4.0 | 1.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.3 | 1.0 | 0.0 | - | - | - | 33.3 | 0.0 | 25.0 | - | 31.5 | 33.3 |
T. Hallock
|
G | 9 | 5.3 | 0.6 | 0.1 | 0.6 | 0.1 | 0.2 | 1.0 | 0.7 | -0.1 | - | - | - | 33.3 | 0.0 | 33.3 | - | 34.2 | 33.3 |
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