Richmond Spiders
2023 Team Stats (2 games)
75.0
PPG
57.0
Opp
+18.0
Margin
45.6%
FG%
35.6%
3P%
76.9%
FT%
42.0
RPG
14.5
APG
15.5
TO
81.1
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 → | 1307 (#24) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1291 (#44) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.0 (#47) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.771 (#86) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Idaho Vandals | W | 80 - 49 |
| 2023-03-03 | @ | Fordham Rams | W | 70 - 65 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Doogan
|
F | 2 | 27.0 | 16.5 | 4.0 | 2.0 | 1.5 | 1.0 | 3.0 | 14.5 | 7.5 | - | - | - | 41.4 | 25.0 | 100.0 | - | 52.1 | 46.6 |
A. Budnik
|
F | 2 | 32.0 | 13.0 | 8.5 | 2.5 | 0.0 | 1.5 | 1.0 | 7.5 | 17.0 | - | - | - | 60.0 | 33.3 | 85.7 | - | 71.9 | 66.7 |
S. Ryan
|
G | 2 | 24.5 | 12.5 | 3.5 | 1.5 | 0.0 | 0.0 | 2.0 | 8.5 | 7.0 | - | - | - | 47.1 | 50.0 | 100.0 | - | 66.6 | 61.8 |
G. Townsend
|
G | 2 | 27.5 | 8.0 | 7.0 | 5.0 | 1.5 | 0.5 | 2.5 | 5.0 | 14.5 | - | - | - | 50.0 | 100.0 | 41.7 | - | 52.4 | 55.0 |
E. Krista Grava
|
F | 2 | 19.0 | 7.5 | 1.0 | 1.0 | 0.5 | 0.5 | 1.5 | 6.5 | 2.5 | - | - | - | 53.8 | 20.0 | 0 | - | 57.7 | 57.7 |
K. Hill
|
G | 2 | 26.0 | 7.5 | 10.0 | 0.5 | 1.0 | 0.0 | 3.5 | 4.0 | 11.5 | - | - | - | 50.0 | 50.0 | 100.0 | - | 70.5 | 56.2 |
T. Rogers
|
F | 1 | 5.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 50.0 | 0 | 100.0 | - | 69.4 | 50.0 |
R. Ullstrom
|
G | 2 | 18.0 | 4.0 | 2.5 | 0.5 | 0.0 | 0.5 | 0.5 | 3.5 | 3.5 | - | - | - | 42.9 | 66.7 | 0 | - | 57.1 | 57.1 |
K. Lewandowski
|
F | 2 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.5 | - | - | - | 100.0 | 100.0 | 50.0 | - | 106.4 | 150.0 |
C. Williams
|
F | 1 | 19.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -1.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
S. Boone
|
G | 2 | 10.5 | 1.0 | 1.5 | 1.5 | 0.0 | 0.0 | 1.0 | 3.5 | -0.5 | - | - | - | 14.3 | 0.0 | 0 | - | 14.3 | 14.3 |
A. Burgos
|
PG | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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