Siena
2022 Team Stats (5 games)
58.2
PPG
68.7
Opp
-2.3
Margin
38.5%
FG%
33.3%
3P%
69.0%
FT%
31.0
RPG
10.2
APG
10.8
TO
72.5
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 → | 1025 (#260) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1035 (#296) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1040 (#120) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.6 (#310) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.8 (#175) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.127 (#261) | NetEff -16.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.513 (#218) | AdjO 67.7 | AdjD 67.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.663 (#218) | 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 → | 0.637 (#215) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1063 (#175) | RD 133 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Caldwell
|
G | 1 | 34.0 | 19.0 | 7.0 | 1.0 | 3.0 | 0.0 | 3.0 | 0.0 | 27.0 | 34 | 1.1 | 1.4 | 0 | 0 | 0 | 0.48 | 0 | 0 |
C. Rogers
|
G | 11 | 33.5 | 13.0 | 2.1 | 1.6 | 0.3 | 0.2 | 1.1 | 5.6 | 10.5 | -70 | -2.5 | -3.2 | 37.1 | 39.3 | 80.0 | -0.26 | 111.4 | 46.0 |
J. Pope
|
G | 1 | 16.0 | 12.0 | 5.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 16.0 | -50 | -1.9 | -5.7 | 0 | 0 | 0 | -0.42 | 0 | 0 |
A. Gaines
|
G | 22 | 34.2 | 11.4 | 7.1 | 2.3 | 1.1 | 0.5 | 2.4 | 2.5 | 17.6 | -58 | -2.1 | -2.5 | 30.4 | 35.7 | 45.5 | -0.11 | 206.3 | 34.8 |
J. Stormo
|
- | 27 | 29.9 | 11.2 | 6.7 | 1.3 | 0.4 | 1.3 | 1.7 | 2.2 | 17.0 | -58 | -2.1 | -2.7 | 53.3 | 0.0 | 66.7 | -0.14 | 222.3 | 53.3 |
N. Hopkins
|
G | 22 | 25.6 | 9.0 | 2.4 | 1.1 | 1.4 | 0.1 | 0.9 | 1.6 | 11.6 | -6 | -0.2 | -0.3 | 34.3 | 36.0 | 83.3 | 0.35 | 263.0 | 47.1 |
A. Platek
|
- | 5 | 20.0 | 9.0 | 3.6 | 1.8 | 0.0 | 0.0 | 2.0 | 0.0 | 12.4 | -25 | -5.0 | -9.9 | 0 | 0 | 0 | -0.47 | 0 | 0 |
A. Duhart
|
F | 1 | 28.0 | 8.0 | 4.0 | 2.0 | 2.0 | 0.0 | 1.0 | 0.0 | 15.0 | 51 | 1.6 | 2.7 | 0 | 0 | 0 | 0.89 | 0 | 0 |
J. McCollum
|
- | 20 | 18.4 | 7.3 | 0.9 | 1.6 | 0.4 | 0.1 | 1.2 | 1.9 | 7.2 | -48 | -2.0 | -4.3 | 48.6 | 43.8 | 70.0 | -0.2 | 176.3 | 58.1 |
Jared Billups
|
- | 22 | 28.5 | 6.0 | 5.4 | 1.0 | 1.0 | 0.9 | 1.8 | 1.2 | 11.1 | 32 | 1.2 | 1.7 | 50.0 | 14.3 | 66.7 | 1.18 | 239.8 | 51.9 |
A. Carpenter
|
G | 8 | 16.2 | 5.5 | 1.1 | 0.5 | 0.2 | 0.5 | 1.2 | 3.1 | 3.5 | - | - | - | 36.0 | 0.0 | 81.8 | -0.31 | 73.7 | 36.0 |
D. Vaughn
|
F | 1 | 38.0 | 4.0 | 9.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 16.0 | -20 | -0.6 | -0.8 | 0 | 0 | 0 | 0.13 | 0 | 0 |
J. Kellier
|
- | 22 | 11.3 | 3.7 | 2.3 | 0.3 | 0.5 | 0.5 | 0.7 | 0.9 | 5.7 | -7 | -0.3 | -1.1 | 35.0 | 40.0 | 77.8 | -0.04 | 171.1 | 45.0 |
M. Townsel
|
G | 1 | 20.0 | 3.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 5.0 | 60 | 2.9 | 6.2 | 0 | 0 | 0 | 1.2 | 0 | 0 |
J. Johnson
|
- | 16 | 13.4 | 2.4 | 2.2 | 0.9 | 0.4 | 0.4 | 1.2 | 1.1 | 4.1 | -43 | -8.6 | -31.6 | 27.8 | 14.3 | 50.0 | 1.56 | 94.5 | 30.6 |
M. Baer
|
- | 28 | 11.3 | 2.2 | 2.1 | 0.3 | 0.4 | 0.2 | 0.6 | 0.7 | 3.9 | -91 | -3.2 | -10.6 | 31.6 | 50.0 | 100.0 | -0.62 | 153.4 | 42.1 |
R. Johnson
|
- | 1 | 27.0 | 2.0 | 3.0 | 2.0 | 1.0 | 0.0 | 2.0 | 0.0 | 6.0 | -67 | -9.6 | -16.0 | 0 | 0 | 0 | 0.0 | 0 | 0 |
R. Mahala
|
G | 4 | 3.5 | 1.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 1.2 | -7 | -0.8 | -9.6 | 0.0 | 0 | 0 | -0.08 | 200.0 | 0.0 |
S. Altman
|
G | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -14 | -0.5 | -1.3 | 0 | 0 | 0 | -0.02 | 0 | 0 |
M. Tertsea
|
F | 4 | 2.8 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
S. Lazar
|
- | 3 | 2.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Delmoral
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Dagostino
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 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