Notre Dame Fighting Irish
2026 Team Stats (36 games)
77.1
PPG
65.1
Opp
+11.9
Margin
46.2%
FG%
34.8%
3P%
78.4%
FT%
34.2
RPG
14.0
APG
13.2
TO
73.0
Est. poss./game
80.8
Adj PPG
54.5
Adj Opp PPG
#20
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 → | 1482 (#14) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1284 (#30) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1166 (#15) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.1 (#20) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.3 (#12) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.874 (#38) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.874 (#38) | NetEff +16.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.989 (#21) | AdjNet +38.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.990 (#22) | AdjNet +39.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.916 (#20) | AdjO 80.8 | AdjD 54.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.857 (#11) | AdjO 74.9 | AdjD 55.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.941 (#18) | 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 → | 0.934 (#17) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1325 (#16) | RD 95 | GP 36 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hannah Hidalgo
|
G | 36 | 36.3 | 25.2 | 6.9 | 5.2 | 5.6 | 0.3 | 3.3 | 19.8 | 20.2 | 401 | 31 | 12.9 | 14.7 | 47.5 | 25.4 | 83.3 | 9.32 | 55.6 | 50.0 |
Cassandre Prosper
|
G | 36 | 33.1 | 13.6 | 6.5 | 1.6 | 1.6 | 1.1 | 2.1 | 10.8 | 11.6 | 328 | 31 | 10.6 | 13.2 | 49.2 | 30.5 | 73.8 | 3.24 | 55.5 | 51.5 |
Iyana Moore
|
G | 34 | 31.7 | 11.8 | 3.4 | 1.3 | 1.4 | 0.3 | 1.7 | 9.9 | 6.6 | 222 | 29 | 7.7 | 10.0 | 39.1 | 37.2 | 87.0 | 1.61 | 55.0 | 51.0 |
Vanessa de Jesus
|
G | 36 | 34.2 | 8.4 | 2.8 | 2.7 | 1.8 | 0.2 | 1.9 | 7.3 | 6.6 | 339 | 31 | 10.9 | 13.0 | 40.2 | 40.0 | 90.0 | 2.46 | 53.6 | 50.4 |
Malaya Cowles
|
F | 33 | 27.8 | 7.9 | 5.3 | 1.4 | 1.7 | 0.8 | 1.8 | 6.9 | 8.5 | 194 | 28 | 6.9 | 10.0 | 52.0 | 0 | 61.0 | 1.12 | 53.3 | 52.0 |
KK Bransford
|
G | 24 | 25.1 | 7.4 | 4.0 | 1.3 | 1.1 | 0.3 | 1.8 | 6.2 | 6.2 | 166 | 20 | 8.3 | 13.3 | 47.3 | 27.3 | 62.5 | 1.17 | 52.0 | 49.3 |
Gisela Sanchez
|
F | 35 | 19.1 | 5.7 | 3.4 | 0.8 | 0.5 | 0.4 | 0.9 | 4.6 | 5.3 | 196 | 30 | 6.5 | 13.8 | 51.6 | 50.0 | 75.0 | -0.19 | 59.8 | 59.0 |
Kelly Ratigan
|
G | 17 | 8.0 | 1.4 | 0.6 | 0.2 | 0.2 | 0.0 | 0.2 | 1.2 | 0.9 | 74 | 14 | 5.3 | 22.2 | 35.0 | 31.2 | 66.7 | -2.22 | 50.8 | 47.5 |
Bella Tehrani
|
F | 8 | 2.6 | 0.4 | 0.4 | 0.0 | 0.0 | 0.0 | 0.1 | 0.4 | 0.2 | -11 | 6 | -1.8 | -23.8 | 33.3 | 0 | 100.0 | -2.68 | 43.6 | 33.3 |
Jordyn Smith
|
G | 15 | 3.2 | 0.3 | 0.2 | 0.2 | 0.2 | 0.0 | 0.1 | 0.3 | 0.5 | -10 | 12 | -0.8 | -9.3 | 40.0 | 0.0 | 0.0 | -4.22 | 36.8 | 40.0 |
Luci Jensen
|
G | 12 | 2.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.0 | -14 | 9 | -1.6 | -24.8 | 20.0 | 20.0 | 0 | -3.33 | 30.0 | 30.0 |
Leah Macy
|
F | 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
Alumni in the Pros
Former Notre Dame Fighting Irish players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Notre Dame Fighting Irish 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.
1 player-league average(s) withheld while source season, phase, finality or game identity remains unresolved.
Active alumni
| Player | At School | League | Team | GP | MPG | PPG | RPG | APG |
|---|---|---|---|---|---|---|---|---|
| Marina Mabrey | 2015-19 | WNBA | Toronto Tempo | 32 | 29.5 | 20.8 | 3.3 | 3.7 |
| Olivia Miles | 2021-25 | WNBA | Minnesota Lynx | 40 | 31.0 | 19.8 | 4.7 | 6.0 |
| K. McBride | 2013-14 | WNBA | Minnesota Lynx | 44 | 32.0 | 17.6 | 3.0 | 2.2 |
| S. Citron | 2021-25 | WNBA | Washington Mystics | 40 | 33.0 | 16.8 | 3.8 | 4.4 |
| A. Ogunbowale | 2015-19 | WNBA | Dallas Wings | 44 | 30.1 | 15.3 | 3.0 | 3.3 |
| J. Shepard | 2017-19 | WNBA | Dallas Wings | 42 | 31.8 | 14.5 | 11.1 | 5.3 |
| J. Loyd | 2013-15 | WNBA | Las Vegas Aces | 43 | 26.1 | 8.0 | 2.3 | 1.3 |
| L. King | 2024-25 | WNBA | Minnesota Lynx | 12 | 8.7 | 3.5 | 2.3 | 0.2 |
| M. Westbeld | 2020-25 | WNBA | Phoenix Mercury (2 teams) | 10 | 12.2 | 2.6 | 1.8 | 0.6 |
| Cassandre Prosper | 2022-26 | WNBA | Washington Mystics | 37 | 9.8 | 2.1 | 1.0 | 0.5 |
| B. Turner | 2014-19 | WNBA | Las Vegas Aces | 42 | 13.2 | 1.5 | 2.3 | 0.2 |
| J. Young | 2016-19 | WNBA | Las Vegas Aces | - | - | - | - | - |
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-10-09 | J. Young | WNBA Playoffs | Las Vegas Aces | vs Golden State Valkyries | 42 | 18 | 3 | 2 | Box |
| 2026-10-09 | J. Loyd | WNBA Playoffs | Las Vegas Aces | vs Golden State Valkyries | 23 | 3 | 2 | 1 | Box |
| 2026-10-09 | B. Turner | WNBA Playoffs | Las Vegas Aces | vs Golden State Valkyries | 5 | 0 | 1 | 0 | Box |
| 2026-10-07 | J. Young | WNBA Playoffs | Las Vegas Aces | @ Golden State Valkyries | 37 | 14 | 0 | 8 | Box |
| 2026-10-07 | B. Turner | WNBA Playoffs | Las Vegas Aces | @ Golden State Valkyries | 11 | 0 | 1 | 0 | Box |
| 2026-10-04 | J. Young | WNBA Playoffs | Las Vegas Aces | @ Golden State Valkyries | 38 | 11 | 4 | 5 | Box |
| 2026-10-04 | J. Loyd | WNBA Playoffs | Las Vegas Aces | @ Golden State Valkyries | 17 | 0 | 2 | 1 | Box |
| 2026-10-04 | B. Turner | WNBA Playoffs | Las Vegas Aces | @ Golden State Valkyries | 17 | 2 | 7 | 2 | Box |
| 2026-10-02 | J. Shepard | WNBA Playoffs | Dallas Wings | @ Golden State Valkyries | 40 | 12 | 12 | 2 | Box |
| 2026-10-02 | A. Ogunbowale | WNBA Playoffs | Dallas Wings | @ Golden State Valkyries | 34 | 30 | 5 | 2 | Box |
| 2026-10-01 | J. Loyd | WNBA Playoffs | Las Vegas Aces | vs Indiana Fever | 35 | 11 | 3 | 1 | Box |
| 2026-09-30 | S. Citron | WNBA Playoffs | Washington Mystics | vs Atlanta Dream | 38 | 25 | 7 | 2 | Box |
| 2026-09-30 | J. Shepard | WNBA Playoffs | Dallas Wings | vs Golden State Valkyries | 41 | 4 | 8 | 6 | Box |
| 2026-09-30 | Cassandre Prosper | WNBA Playoffs | Washington Mystics | vs Atlanta Dream | 21 | 10 | 4 | 3 | Box |
| 2026-09-30 | A. Ogunbowale | WNBA Playoffs | Dallas Wings | vs Golden State Valkyries | 42 | 45 | 7 | 4 | Box |
| 2026-09-29 | Olivia Miles | WNBA Playoffs | Minnesota Lynx | @ New York Liberty | 17 | 5 | 2 | 1 | Box |
| 2026-09-29 | K. McBride | WNBA Playoffs | Minnesota Lynx | @ New York Liberty | 39 | 14 | 3 | 4 | Box |
| 2026-09-27 | S. Citron | WNBA Playoffs | Washington Mystics | @ Atlanta Dream | 35 | 25 | 6 | 3 | Box |
| 2026-09-27 | Olivia Miles | WNBA Playoffs | Minnesota Lynx | vs New York Liberty | 30 | 11 | 8 | 1 | Box |
| 2026-09-27 | K. McBride | WNBA Playoffs | Minnesota Lynx | vs New York Liberty | 38 | 14 | 2 | 6 | Box |
| 2026-09-27 | J. Shepard | WNBA Playoffs | Dallas Wings | @ Golden State Valkyries | 24 | 0 | 3 | 3 | Box |
| 2026-09-27 | Cassandre Prosper | WNBA Playoffs | Washington Mystics | @ Atlanta Dream | 1 | 0 | 1 | 0 | Box |
| 2026-09-27 | A. Ogunbowale | WNBA Playoffs | Dallas Wings | @ Golden State Valkyries | 25 | 10 | 1 | 4 | Box |
| 2026-09-24 | S. Citron | WNBA | Washington Mystics | vs Chicago Sky | 28 | 21 | 5 | 5 | Box |
| 2026-09-24 | M. Westbeld | WNBA | Phoenix Mercury | vs Las Vegas Aces | 13 | 7 | 2 | 1 | Box |
2025-2026 Shot Zones
2272 located field-goal attempts in 36 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).
Hannah HidalgoIyana MooreVanessa de Jesus
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 417-592 | 70.4 | 834 | Hannah Hidalgo 36% (298 pts) | Cassandre Prosper 24% (196 pts) | Hannah Hidalgo 25% (44 misses) | Cassandre Prosper 22% (39 misses) |
| Paint (non-RA) | 243-597 | 40.7 | 486 | Hannah Hidalgo 37% (180 pts) | Cassandre Prosper 21% (100 pts) | Hannah Hidalgo 31% (111 misses) | Cassandre Prosper 23% (81 misses) |
| Mid-range left | 42-122 | 34.4 | 84 | Hannah Hidalgo 31% (26 pts) | Iyana Moore 21% (18 pts) | Hannah Hidalgo 38% (30 misses) | Iyana Moore 16% (13 misses) |
| Mid-range center | 44-116 | 37.9 | 88 | Iyana Moore 32% (28 pts) | Hannah Hidalgo 20% (18 pts) | Hannah Hidalgo 29% (21 misses) | Cassandre Prosper 19% (14 misses) |
| Mid-range right | 80-199 | 40.2 | 160 | Hannah Hidalgo 52% (84 pts) | Cassandre Prosper 18% (28 pts) | Hannah Hidalgo 51% (61 misses) | Iyana Moore 14% (17 misses) |
| Left corner 3 | 22-70 | 31.4 | 66 | Iyana Moore 36% (24 pts) | Vanessa de Jesus 23% (15 pts) | Vanessa de Jesus 29% (14 misses) | Iyana Moore 23% (11 misses) |
| Right corner 3 | 24-74 | 32.4 | 72 | Vanessa de Jesus 50% (36 pts) | Iyana Moore 21% (15 pts) | Vanessa de Jesus 34% (17 misses) | Iyana Moore 22% (11 misses) |
| Above-break 3 left | 72-202 | 35.6 | 216 | Iyana Moore 38% (81 pts) | Vanessa de Jesus 31% (66 pts) | Iyana Moore 40% (52 misses) | Hannah Hidalgo 19% (25 misses) |
| Above-break 3 center | 36-98 | 36.7 | 108 | Iyana Moore 36% (39 pts) | Gisela Sanchez 22% (24 pts) | Iyana Moore 45% (28 misses) | Hannah Hidalgo 29% (18 misses) |
| Above-break 3 right | 70-202 | 34.7 | 210 | Iyana Moore 39% (81 pts) | Hannah Hidalgo 26% (54 pts) | Hannah Hidalgo 39% (51 misses) | Iyana Moore 25% (33 misses) |