Yale Bulldogs
2026 Team Stats (27 games)
Model Outputs
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 โ | 724 (#307) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 795 (#304) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 897 (#299) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -9.9 (#271) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -2.2 (#185) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.145 (#301) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.145 (#301) | NetEff -13.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.153 (#273) | AdjNet -14.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.150 (#271) | AdjNet -14.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.303 (#273) | AdjO 59.1 | AdjD 68.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.403 (#242) | AdjO 59.9 | AdjD 64.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.275 (#269) | 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 โ | 0.293 (#265) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 844 (#281) | RD 158 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ciniya Moore
|
G | 27 | 34.9 | 17.4 | 2.4 | 1.3 | 1.2 | 0.3 | 3.7 | 15.3 | 3.7 | -155 | 25 | -6.2 | -7.7 | 37.1 | 36.2 | 87.1 | 0.61 | 49.6 | 42.2 |
Luisa Vydrova
|
F | 27 | 32.5 | 10.6 | 4.7 | 2.1 | 1.0 | 0.7 | 2.7 | 9.9 | 6.5 | -159 | 25 | -6.4 | -8.6 | 46.6 | 48.6 | 79.2 | -1.87 | 51.5 | 50.0 |
Kiley Capstraw
|
F | 25 | 35.2 | 8.7 | 6.5 | 3.9 | 1.7 | 0.3 | 3.3 | 9.3 | 8.4 | -149 | 23 | -6.5 | -8.1 | 38.2 | 0.0 | 76.9 | -0.99 | 42.6 | 38.2 |
Marisa Chapman
|
G | 27 | 30.0 | 8.2 | 5.5 | 2.0 | 1.3 | 0.3 | 2.7 | 8.6 | 6.0 | -159 | 25 | -6.4 | -9.5 | 39.2 | 15.6 | 61.8 | -3.3 | 43.1 | 40.3 |
Mary Meng
|
F | 16 | 31.1 | 6.8 | 8.8 | 1.3 | 1.6 | 2.3 | 1.7 | 5.2 | 13.9 | -57 | 14 | -4.1 | -5.6 | 50.6 | 0 | 60.0 | 1.85 | 53.7 | 50.6 |
Ke'iara Odume
|
G | 27 | 21.1 | 5.2 | 2.2 | 0.5 | 0.3 | 0.1 | 1.6 | 6.8 | -0.1 | -85 | 25 | -3.4 | -7.2 | 31.7 | 25.0 | 46.7 | -0.87 | 37.2 | 36.6 |
Dorka Kastl
|
F | 16 | 24.5 | 2.4 | 5.1 | 2.2 | 1.1 | 2.4 | 1.8 | 3.2 | 8.2 | -38 | 15 | -2.5 | -4.5 | 30.8 | 10.5 | 50.0 | 0.56 | 34.6 | 32.7 |
Ana Guillen
|
F | 18 | 11.2 | 1.7 | 1.5 | 0.9 | 0.6 | 0.3 | 1.0 | 1.7 | 2.2 | -57 | 16 | -3.6 | -13.6 | 45.2 | 0.0 | 100.0 | -2.25 | 47.1 | 45.2 |
Olivia Kim
|
G | 14 | 9.3 | 1.6 | 1.5 | 0.3 | 0.6 | 0.0 | 0.6 | 1.7 | 1.6 | -18 | 13 | -1.4 | -7.0 | 29.2 | 36.8 | 33.3 | -0.31 | 43.2 | 43.8 |
Sophia Gibson
|
F | 10 | 8.1 | 1.5 | 2.2 | 0.1 | 0.1 | 0.4 | 0.7 | 1.6 | 2.0 | -42 | 9 | -4.7 | -24.0 | 37.5 | 0 | 50.0 | -3.97 | 40.2 | 37.5 |
Magdalena Schmidt
|
G | 10 | 8.9 | 1.5 | 0.6 | 0.6 | 0.2 | 0.1 | 0.4 | 1.5 | 1.1 | -38 | 9 | -4.2 | -24.2 | 26.7 | 28.6 | 60.0 | -5.81 | 43.6 | 40.0 |
Hannah Wasserman
|
G | 2 | 2.5 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
Radhika Garapaty
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Lucy Lynn
|
G | 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
2025-2026 Shot Zones
1547 located field-goal attempts in 27 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).
Ciniya MooreLuisa VydrovaMarisa ChapmanKiley CapstrawKe'iara Odume
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 174-311 | 55.9 | 348 | Luisa Vydrova 21% (72 pts) | Marisa Chapman 19% (66 pts) | Ciniya Moore 22% (30 misses) | Kiley Capstraw 17% (23 misses) |
| Paint (non-RA) | 187-461 | 40.6 | 374 | Marisa Chapman 21% (80 pts) | Ciniya Moore 20% (76 pts) | Kiley Capstraw 23% (63 misses) | Ciniya Moore 22% (59 misses) |
| Mid-range left | 63-192 | 32.8 | 126 | Ciniya Moore 27% (34 pts) | Luisa Vydrova 27% (34 pts) | Ciniya Moore 27% (35 misses) | Luisa Vydrova 21% (27 misses) |
| Mid-range center | 34-101 | 33.7 | 68 | Luisa Vydrova 44% (30 pts) | Ciniya Moore 24% (16 pts) | Ciniya Moore 28% (19 misses) | Luisa Vydrova 27% (18 misses) |
| Mid-range right | 50-163 | 30.7 | 100 | Ciniya Moore 42% (42 pts) | Kiley Capstraw 20% (20 pts) | Ciniya Moore 37% (42 misses) | Kiley Capstraw 20% (23 misses) |
| Left corner 3 | 6-31 | 19.4 | 18 | Ciniya Moore 67% (12 pts) | Olivia Kim 33% (6 pts) | Ciniya Moore 36% (9 misses) | Ke'iara Odume 32% (8 misses) |
| Right corner 3 | 8-22 | 36.4 | 24 | Ciniya Moore 62% (15 pts) | Luisa Vydrova 12% (3 pts) | Ke'iara Odume 36% (5 misses) | Olivia Kim 29% (4 misses) |
| Above-break 3 left | 42-136 | 30.9 | 126 | Ciniya Moore 43% (54 pts) | Ke'iara Odume 29% (36 pts) | Ciniya Moore 35% (33 misses) | Ke'iara Odume 21% (20 misses) |
| Above-break 3 center | 13-39 | 33.3 | 39 | Luisa Vydrova 62% (24 pts) | Ke'iara Odume 15% (6 pts) | Ciniya Moore 19% (5 misses) | Dorka Kastl 19% (5 misses) |
| Above-break 3 right | 27-91 | 29.7 | 81 | Ciniya Moore 52% (42 pts) | Ke'iara Odume 15% (12 pts) | Ciniya Moore 38% (24 misses) | Ke'iara Odume 28% (18 misses) |