Syracuse
2024 Team Stats (32 games)
76.3
PPG
75.6
Opp
+0.7
Margin
46.1%
FG%
33.6%
3P%
72.1%
FT%
33.3
RPG
13.8
APG
11.4
TO
79.9
Pace
Model Outputs
2023-2024
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 → | 1223 (#85) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1286 (#72) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.9 (#86) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.374 (#84) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.467 (#192) | NetEff -1.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.520 (#68) | AdjNet +0.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.520 (#69) | AdjNet +0.7 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Mintz
|
- | 32 | 34.0 | 18.8 | 3.2 | 4.4 | 2.1 | 0.1 | 2.9 | 13.4 | 12.3 | -7 | -1.0 | -1.7 | 43.8 | 28.2 | 76.5 | 0.17 | 55.2 | 46.6 |
JJ Starling
|
G | 32 | 34.4 | 13.3 | 3.2 | 1.9 | 0.8 | 0.2 | 1.7 | 11.7 | 6.1 | -19 | -2.7 | -4.6 | 45.8 | 32.4 | 71.4 | -0.01 | 53.6 | 51.7 |
C. Bell
|
F | 32 | 27.1 | 12.0 | 2.3 | 0.7 | 0.6 | 0.7 | 0.8 | 9.7 | 5.8 | -49 | -2.6 | -13.1 | 43.4 | 42.0 | 84.2 | 0.09 | 58.9 | 57.0 |
Q. Copeland
|
G | 32 | 22.3 | 9.6 | 4.6 | 2.8 | 1.5 | 0.2 | 2.0 | 7.0 | 9.7 | -79 | -4.2 | -36.4 | 47.8 | 25.0 | 68.3 | -0.09 | 55.5 | 50.2 |
M. Brown
|
F | 32 | 29.6 | 9.5 | 7.2 | 1.8 | 2.2 | 0.9 | 1.3 | 5.7 | 14.7 | 63 | 4.2 | 310.5 | 69.8 | 36.8 | 72.1 | -0.04 | 73.0 | 71.7 |
B. Williams
|
- | 18 | 17.0 | 5.4 | 3.9 | 1.2 | 0.9 | 0.9 | 1.2 | 5.3 | 5.9 | 53 | 6.6 | 8.8 | 40.0 | 20.6 | 53.8 | 0.27 | 45.6 | 43.7 |
J. Taylor
|
G | 32 | 23.2 | 5.0 | 4.0 | 1.0 | 0.7 | 0.2 | 0.8 | 5.1 | 5.0 | 6 | 0.9 | 2.0 | 35.2 | 30.1 | 64.5 | 0.2 | 45.3 | 42.9 |
N. McLeod
|
- | 14 | 14.4 | 3.9 | 4.3 | 0.1 | 0.2 | 1.9 | 0.4 | 2.3 | 7.6 | - | - | - | 59.4 | 0 | 69.6 | - | 64.1 | 59.4 |
K. Cuffe Jr.
|
G | 29 | 10.7 | 3.2 | 1.0 | 0.5 | 0.5 | 0.2 | 0.6 | 3.0 | 1.9 | 98 | 5.8 | 27.4 | 40.7 | 34.0 | 46.2 | 0.39 | 50.2 | 50.0 |
Niko Ruffin
|
- | 2 | 2.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
P. Carey
|
- | 14 | 5.1 | 0.6 | 0.9 | 0.1 | 0.2 | 0.1 | 0.0 | 1.0 | 0.9 | -6 | -1.0 | -261.8 | 28.6 | 0 | 50.0 | -0.03 | 30.2 | 28.6 |
M. Hima
|
- | 13 | 3.4 | 0.3 | 0.5 | 0.1 | 0.0 | 0.2 | 0.1 | 0.2 | 0.8 | 0 | 0.0 | 0.0 | 66.7 | 0 | 0 | 0.0 | 66.7 | 66.7 |
C. Westry
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
W. Patterson
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Anthony Clayton
|
- | 2 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -2.0 | 98 | 10.9 | 20.5 | 0.0 | 0.0 | 0 | 0.49 | 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