Rice Owls
2023 Team Stats (2 games)
66.0
PPG
69.0
Opp
-3.0
Margin
38.5%
FG%
26.4%
3P%
69.2%
FT%
36.5
RPG
13.5
APG
15.0
TO
85.7
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 → | 1301 (#25) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1302 (#40) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.4 (#87) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.801 (#73) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-01-16 | vs | UTSA Roadrunners | W | 78 - 76 |
| 2023-03-09 | vs | UTSA Roadrunners | L | 54 - 62 |
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. Crosthwait
|
G | 2 | 36.5 | 14.0 | 5.5 | 2.0 | 1.0 | 0.5 | 0.5 | 11.5 | 11.0 | - | - | - | 43.5 | 43.8 | 50.0 | - | 58.6 | 58.7 |
D. Jackson
|
G | 1 | 34.0 | 13.0 | 3.0 | 4.0 | 3.0 | 0.0 | 0.0 | 9.0 | 14.0 | - | - | - | 33.3 | 50.0 | 75.0 | - | 51.9 | 38.9 |
I. Bellamy
|
F | 2 | 28.5 | 12.0 | 8.0 | 1.0 | 1.0 | 2.5 | 2.0 | 9.5 | 13.0 | - | - | - | 57.9 | 0.0 | 66.7 | - | 59.1 | 57.9 |
M. Fisher
|
F | 2 | 21.0 | 10.0 | 2.5 | 1.5 | 0.5 | 0.0 | 3.5 | 6.5 | 4.5 | - | - | - | 53.8 | 33.3 | 71.4 | - | 62.2 | 57.7 |
D. Ennis
|
G | 2 | 27.0 | 9.0 | 2.5 | 3.0 | 0.5 | 0.0 | 0.5 | 10.0 | 4.5 | - | - | - | 35.0 | 30.8 | 0 | - | 45.0 | 45.0 |
A. Austin
|
F | 2 | 25.0 | 7.0 | 3.0 | 0.5 | 0.0 | 0.0 | 4.0 | 9.0 | -2.5 | - | - | - | 33.3 | 0.0 | 100.0 | - | 37.1 | 33.3 |
J. Owens-Barnett
|
G | 2 | 24.0 | 5.5 | 3.5 | 2.0 | 0.5 | 0.0 | 1.0 | 10.5 | 0.0 | - | - | - | 19.0 | 14.3 | 50.0 | - | 24.2 | 21.4 |
S. Hayes
|
C | 1 | 9.0 | 2.0 | 4.0 | 1.0 | 0.0 | 0.0 | 2.0 | 2.0 | 3.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
K. Clifton
|
G | 2 | 2.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
F. Samb
|
C | 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 |
T. Gooden
|
G | 2 | 13.5 | 0.0 | 1.0 | 1.0 | 0.5 | 0.0 | 1.0 | 1.0 | 0.5 | - | - | - | 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