Richmond Spiders
2026 Team Stats (34 games)
72.1
PPG
59.5
Opp
+12.6
Margin
45.6%
FG%
36.5%
3P%
79.3%
FT%
35.3
RPG
15.9
APG
14.1
TO
67.2
Est. poss./game
73.8
Adj PPG
56.9
Adj Opp PPG
#45
Scoring Rank
Model Outputs
2025-2026
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 → | 1336 (#37) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1285 (#29) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1104 (#60) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.5 (#46) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.4 (#49) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.902 (#30) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.902 (#30) | NetEff +18.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.953 (#47) | AdjNet +26.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.954 (#48) | AdjNet +26.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.823 (#45) | AdjO 73.8 | AdjD 56.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.763 (#32) | AdjO 69.1 | AdjD 56.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.855 (#44) | 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 → | 0.845 (#41) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1252 (#40) | RD 120 | GP 34 |
2026 Schedule & Results
2026 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Maggie Doogan
|
F | 34 | 34.4 | 21.1 | 7.9 | 3.9 | 0.9 | 1.1 | 3.9 | 14.4 | 16.7 | 383 | 31 | 12.4 | 15.0 | 50.6 | 40.4 | 89.0 | 6.67 | 64.6 | 59.9 |
Rachel Ullstrom
|
G | 34 | 32.8 | 13.9 | 5.6 | 1.2 | 1.1 | 0.6 | 1.1 | 10.4 | 10.9 | 357 | 31 | 11.5 | 14.7 | 47.9 | 40.9 | 79.2 | 5.42 | 62.6 | 60.8 |
Ally Sweeney
|
G | 34 | 33.5 | 10.5 | 3.0 | 4.4 | 1.0 | 0.1 | 2.1 | 8.6 | 8.3 | 337 | 31 | 10.9 | 13.6 | 46.0 | 39.9 | 87.2 | 2.0 | 57.9 | 55.5 |
Alicia Newell
|
G | 32 | 22.3 | 7.2 | 3.5 | 1.8 | 1.9 | 0.2 | 1.4 | 6.6 | 6.6 | 232 | 29 | 8.0 | 15.1 | 42.7 | 33.3 | 64.3 | 0.71 | 50.3 | 48.3 |
Sam Dewey
|
F | 34 | 21.7 | 5.0 | 2.8 | 1.1 | 0.5 | 0.0 | 0.8 | 4.3 | 4.3 | 134 | 31 | 4.3 | 8.3 | 40.4 | 34.9 | 80.0 | -4.43 | 55.2 | 53.1 |
Tierra Simon
|
F | 34 | 16.9 | 4.4 | 3.4 | 1.5 | 0.5 | 0.6 | 1.4 | 3.9 | 5.0 | 147 | 31 | 4.7 | 11.8 | 40.3 | 29.6 | 96.0 | -2.13 | 51.0 | 46.3 |
Ava Persichetti
|
G | 34 | 15.1 | 3.8 | 1.9 | 0.6 | 0.7 | 0.1 | 0.6 | 3.7 | 2.8 | 174 | 31 | 5.6 | 15.2 | 38.4 | 34.2 | 75.0 | 1.22 | 49.9 | 48.4 |
Rayne Wright
|
G | 34 | 13.3 | 3.4 | 1.4 | 0.9 | 0.6 | 0.1 | 1.0 | 2.8 | 2.7 | 39 | 31 | 1.3 | 4.0 | 50.5 | 10.0 | 66.7 | -4.1 | 54.7 | 52.1 |
Aneisha Scott
|
G | 22 | 6.7 | 2.5 | 0.6 | 0.7 | 0.1 | 0.0 | 0.9 | 2.0 | 1.0 | 13 | 19 | 0.7 | 4.1 | 45.5 | 25.0 | 59.1 | -0.1 | 52.2 | 48.9 |
Shaneka Campbell
|
F | 27 | 3.5 | 0.8 | 0.7 | 0.1 | 0.0 | 0.0 | 0.2 | 0.7 | 0.7 | 15 | 23 | 0.7 | 7.5 | 45.0 | 12.5 | 60.0 | -0.58 | 49.5 | 47.5 |
Payton Richard
|
G | 27 | 5.3 | 0.8 | 0.4 | 0.1 | 0.1 | 0.0 | 0.3 | 1.1 | -0.0 | 28 | 22 | 1.3 | 9.3 | 26.7 | 23.8 | 0 | -1.49 | 35.0 | 35.0 |
Skylah Travis
|
F | 11 | 3.3 | 0.5 | 1.3 | 0.2 | 0.3 | 0.2 | 0.5 | 0.5 | 1.5 | -2 | 9 | -0.2 | -2.8 | 40.0 | 0 | 28.6 | -3.57 | 37.1 | 40.0 |
Jada Green
|
F | 19 | 2.3 | 0.1 | 0.4 | 0.1 | 0.1 | 0.1 | 0.1 | 0.2 | 0.4 | 0 | 16 | 0.0 | 0.0 | 33.3 | 0 | 0.0 | -2.5 | 25.8 | 33.3 |
Annika Manthy
|
F | 12 | 1.6 | 0.1 | 0.4 | 0.0 | 0.2 | 0.1 | 0.1 | 0.2 | 0.5 | -2 | 10 | -0.2 | -4.4 | 0.0 | 0 | 50.0 | -1.12 | 12.9 | 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
Alumni in the Pros
Former Richmond Spiders players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Richmond Spiders game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-04-29 | Maggie Doogan | WNBA Preseason | Phoenix Mercury | vs Japan | 4 | 0 | 3 | 0 | Box |
| 2026-04-25 | Maggie Doogan | WNBA Preseason | Phoenix Mercury | vs Chicago Sky | 8 | 2 | 0 | 0 | Box |
2025-2026 Shot Zones
1952 located field-goal attempts in 34 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Maggie DooganRachel UllstromAlly SweeneySam Dewey
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 403-635 | 63.5 | 806 | Maggie Doogan 28% (226 pts) | Rachel Ullstrom 16% (128 pts) | Maggie Doogan 22% (51 misses) | Alicia Newell 17% (39 misses) |
| Paint (non-RA) | 109-279 | 39.1 | 218 | Maggie Doogan 32% (70 pts) | Ally Sweeney 17% (36 pts) | Maggie Doogan 22% (37 misses) | Alicia Newell 18% (31 misses) |
| Mid-range left | 7-25 | 28.0 | 14 | Ally Sweeney 43% (6 pts) | Maggie Doogan 29% (4 pts) | Maggie Doogan 50% (9 misses) | Aneisha Scott 17% (3 misses) |
| Mid-range center | 9-22 | 40.9 | 18 | Ally Sweeney 33% (6 pts) | Maggie Doogan 22% (4 pts) | Maggie Doogan 46% (6 misses) | Ava Persichetti 15% (2 misses) |
| Mid-range right | 11-28 | 39.3 | 22 | Maggie Doogan 45% (10 pts) | Ally Sweeney 36% (8 pts) | Maggie Doogan 29% (5 misses) | Rachel Ullstrom 24% (4 misses) |
| Left corner 3 | 34-97 | 35.1 | 102 | Rachel Ullstrom 47% (48 pts) | Alicia Newell 15% (15 pts) | Rachel Ullstrom 32% (20 misses) | Sam Dewey 19% (12 misses) |
| Right corner 3 | 16-51 | 31.4 | 48 | Sam Dewey 56% (27 pts) | Rachel Ullstrom 12% (6 pts) | Sam Dewey 29% (10 misses) | Rachel Ullstrom 14% (5 misses) |
| Above-break 3 left | 121-333 | 36.3 | 363 | Maggie Doogan 36% (129 pts) | Rachel Ullstrom 22% (81 pts) | Maggie Doogan 27% (57 misses) | Rachel Ullstrom 21% (45 misses) |
| Above-break 3 center | 69-170 | 40.6 | 207 | Maggie Doogan 38% (78 pts) | Ally Sweeney 25% (51 pts) | Maggie Doogan 41% (41 misses) | Ally Sweeney 22% (22 misses) |
| Above-break 3 right | 112-312 | 35.9 | 336 | Rachel Ullstrom 33% (111 pts) | Maggie Doogan 17% (57 pts) | Rachel Ullstrom 26% (52 misses) | Ally Sweeney 16% (33 misses) |