Michigan State
2022 Team Stats (27 games)
71.9
PPG
69.3
Opp
+3.2
Margin
45.2%
FG%
38.8%
3P%
77.0%
FT%
36.3
RPG
16.0
APG
11.8
TO
76.2
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 → | 1638 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1486 (#18) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1030 (#132) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.7 (#16) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +21.1 (#60) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.426 (#71) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.579 (#99) | NetEff +2.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.714 (#35) | AdjNet +7.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.716 (#35) | AdjNet +8.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.613 (#109) | AdjO 72.2 | AdjD 67.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.884 (#51) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.852 (#55) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1233 (#54) | RD 100 | GP 35 |
2022 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Brown
|
F | 27 | 29.3 | 11.4 | 3.9 | 1.1 | 0.6 | 0.3 | 1.0 | 9.4 | 7.0 | - | - | - | 42.0 | 39.3 | 92.5 | 0.34 | 56.5 | 53.1 |
Max Christie
|
- | 26 | 30.9 | 9.4 | 3.5 | 1.5 | 0.3 | 0.6 | 1.3 | 8.5 | 5.5 | - | - | - | 38.2 | 32.6 | 85.2 | 0.68 | 50.3 | 45.2 |
M. Bingham Jr.
|
F | 26 | 18.2 | 9.0 | 5.8 | 0.2 | 0.7 | 1.8 | 1.1 | 6.6 | 9.8 | -219 | -6.8 | -8.6 | 51.7 | 43.8 | 75.9 | 0.92 | 59.5 | 55.8 |
Malik Hall
|
- | 35 | 21.4 | 8.5 | 4.5 | 1.1 | 0.6 | 0.2 | 1.5 | 5.6 | 7.9 | - | - | - | 49.2 | 40.4 | 64.9 | 1.35 | 67.2 | 55.1 |
Tyson Walker
|
- | 35 | 22.6 | 8.2 | 1.3 | 4.3 | 0.9 | 0.1 | 1.8 | 5.7 | 7.5 | - | - | - | 42.9 | 48.4 | 79.6 | 1.17 | 64.9 | 50.5 |
J. Hauser
|
- | 34 | 22.4 | 7.4 | 5.3 | 1.7 | 0.3 | 0.2 | 1.2 | 4.3 | 9.4 | 72 | 2.1 | 3.7 | 46.9 | 43.8 | 88.4 | 0.59 | 75.3 | 58.8 |
A.J. Hoggard
|
G | 35 | 20.1 | 7.1 | 2.3 | 4.9 | 0.7 | 0.5 | 1.9 | 5.4 | 8.3 | 47 | 1.3 | 2.6 | 43.6 | 22.2 | 68.6 | 0.63 | 56.9 | 45.2 |
J. Marble
|
- | 27 | 14.7 | 6.6 | 3.3 | 0.2 | 0.3 | 0.5 | 1.1 | 4.2 | 5.6 | 18 | 0.5 | 1.4 | 64.0 | 0 | 76.2 | 0.56 | 67.2 | 64.0 |
Jaden Akins
|
G | 35 | 14.8 | 3.5 | 2.4 | 0.7 | 0.6 | 0.2 | 0.7 | 2.4 | 4.3 | 98 | 2.7 | 7.4 | 36.9 | 41.5 | 55.0 | 1.36 | 65.7 | 47.0 |
K. Coleman
|
F | 4 | 2.0 | 1.2 | 0.2 | 0.0 | 0.5 | 0.0 | 0.5 | 1.0 | 0.5 | -137 | -4.6 | -6.8 | 50.0 | 100.0 | 0 | -0.13 | 62.5 | 62.5 |
Mady Sissoko
|
- | 29 | 4.6 | 1.1 | 1.0 | 0.0 | 0.0 | 0.4 | 0.3 | 0.4 | 2.0 | 25 | 0.8 | 7.6 | 46.2 | 0 | 33.3 | 0.25 | 105.5 | 46.2 |
Pierre Brooks
|
F | 18 | 3.4 | 0.9 | 0.3 | 0.1 | 0.0 | 0.0 | 0.3 | 0.6 | 0.4 | 7 | 0.3 | 3.0 | 27.3 | 14.3 | 75.0 | 0.38 | 49.1 | 31.8 |
P. Nwoke
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Peterson
|
G | 6 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.2 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
M. Carr
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 243 | 7.1 | 9.4 | 0 | 0 | 0 | 2.2 | 0 | 0 |
Steven Izzo
|
- | 7 | 1.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | -0.1 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Davis Smith
|
- | 11 | 1.6 | 0.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.1 | 0.2 | -0.1 | -65 | -2.2 | -3.2 | 0.0 | 0.0 | 0 | 1.09 | 0.0 | 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