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Oklahoma State

2026-2027 Team Stats (3 games)

89.0
PPG
44.3
Opp
+44.7
Margin
51.2%
FG%
40.6%
3P%
75.0%
FT%
48.3
RPG
20.0
APG
14.7
TO
72.0
Est. poss./game
70.7
Adj PPG
56.1
Adj Opp PPG
#10
Scoring Rank

Model Outputs

2026-2027
Catalog

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. Preseason prior 1683 (returning production + recruiting): last season 1160, returning -51, transfers +574, freshmen +0 More โ†’ 1684 (#1) Preseason prior 1683 (returning production + recruiting): last season 1160, returning -51, transfers +574, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +187 elo More โ†’ 1426 (#2) HCA +187 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +187 elo More โ†’ 1221 (#2) HCA +187 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ +29.2 (#18) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ +28.4 (#19) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.998 (#2) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +27.1 More โ†’ 0.955 (#8) AdjNet +27.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +27.0 More โ†’ 0.958 (#8) AdjNet +27.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.7 | AdjD 56.1 More โ†’ 0.908 (#10) AdjO 70.7 | AdjD 56.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.7 | AdjD 56.2 More โ†’ 0.861 (#12) AdjO 70.7 | AdjD 56.2
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More โ†’ 0.936 (#9) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More โ†’ 0.930 (#11) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 186 | GP 3 More โ†’ 1454 (#1) RD 186 | GP 3
Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. Chronological component blend with rest and venue. More โ†’ 0.984 (#3) Chronological component blend with rest and venue.

2026-2027 Schedule & Results

Date Vs/At Opponent Result Score
2026-11-02 vs Southern Jaguars W 81 - 39
2026-11-06 vs Morgan State Lady Bears W 92 - 38
2026-11-09 vs Northwestern State Lady Demons W 94 - 56
2026-11-12 @ Tulsa Golden Hurricane - Preview
2026-11-15 @ South Dakota State Jackrabbits - Preview

2026-2027 Roster

Estimated Minutes by Position

Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.

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%
Liv McGill Liv McGill G 3 26.7 18.0 7.0 6.7 1.7 0.3 3.0 13.0 17.7 102 3 34.0 51.0 43.6 30.0 70.8 6.45 54.5 47.4
Audi Crooks Audi Crooks C 3 23.3 16.3 7.7 0.3 1.0 1.7 2.3 8.3 16.3 79 3 26.3 44.8 72.0 0 72.2 1.5 74.4 72.0
Nene Ndiaye Nene Ndiaye F 3 26.0 14.7 3.0 1.3 2.0 0.7 2.3 6.0 13.3 86 3 28.7 44.4 72.2 70.0 91.7 0.72 94.5 91.7
Yuting Deng Yuting Deng G 3 22.7 10.0 8.3 1.3 0.7 0.3 1.3 6.7 12.7 86 3 28.7 50.5 50.0 40.0 75.0 2.22 63.8 60.0
Talexa Weeter Talexa Weeter G 3 17.7 7.3 5.7 0.7 1.0 0.7 0.3 5.0 10.0 58 3 19.3 43.8 60.0 25.0 60.0 1.48 64.0 63.3
Stailee Heard Stailee Heard G 3 23.0 7.3 4.0 4.7 2.0 0.0 1.7 5.3 11.0 89 3 29.7 51.5 50.0 25.0 80.0 4.26 60.4 56.2
Callin Hake Callin Hake G 3 18.7 6.3 2.3 2.3 1.7 0.0 1.0 5.7 6.0 65 3 21.7 46.6 35.3 40.0 50.0 1.04 53.1 52.9
LA Sneed LA Sneed G 3 20.7 6.0 3.0 2.3 1.7 0.0 1.7 2.3 9.0 75 3 25.0 48.7 57.1 66.7 80.0 5.26 78.9 71.4
Zoe Canfield Zoe Canfield G 3 4.3 2.0 0.3 0.3 0.0 0.0 0.3 1.0 1.3 5 3 1.7 14.4 66.7 66.7 0 -2.73 100.0 100.0
Addisyn Bollinger Addisyn Bollinger G 3 3.7 1.0 1.0 0.0 0.0 0.0 0.3 1.3 0.3 3 3 1.0 10.1 25.0 33.3 0 -1.14 37.5 37.5
Ellie Brueggemann Ellie Brueggemann G 3 13.3 0.0 1.3 0.0 0.0 0.0 0.3 2.7 -1.7 22 3 7.3 22.7 0.0 0.0 0 -1.0 0.0 0.0
Mojca Jelenc Mojca Jelenc C 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

Every program's alumni →

Former Oklahoma State players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Oklahoma State 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.

Active alumni

Player At School League Team GP MPG PPG RPG APG Last game Last 30 days
Natasha Mack 2019-21 WNBA Phoenix Mercury 36 22.7 8.9 6.7 1.1 09-24 12 pts, 7 reb, 1 ast no games

Alumni around the leagues: recent games

Date Player League Team Opponent MIN PTS REB AST Box
2026-09-24 Natasha Mack WNBA Phoenix Mercury vs Las Vegas Aces 26 12 7 1 Box
2026-09-21 Natasha Mack WNBA Phoenix Mercury vs Dallas Wings 22 12 4 0 Box
2026-09-19 Natasha Mack WNBA Phoenix Mercury @ Dallas Wings 29 16 7 0 Box

2026-2027 Shot Zones

172 located field-goal attempts in 3 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).

Crooks26% Crooks35% Deng100% Crooks50% Heard100% Ndiaye40% Canfield40% Ndiaye33% McGill50% Hake50%
Points: who the team's points here most likely come from
Crooks20% McGill27% McGill75% McGill75% Brueggemann50% Hake38% McGill50% McGill25% Hake25% Hake29%
Misses: who misses most here

Liv McGillAudi CrooksNene NdiayeYuting DengCallin HakeStailee HeardZoe CanfieldEllie Brueggemann

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 31-36 86.1 62 Audi Crooks 26% (16 pts) Liv McGill 26% (16 pts) Audi Crooks 20% (1 misses) Ellie Brueggemann 20% (1 misses)
Paint (non-RA) 23-49 46.9 46 Audi Crooks 35% (16 pts) Liv McGill 22% (10 pts) Liv McGill 27% (7 misses) Audi Crooks 19% (5 misses)
Mid-range left 1-5 20.0 2 Yuting Deng 100% (2 pts) - Liv McGill 75% (3 misses) Yuting Deng 25% (1 misses)
Mid-range center 4-8 50.0 8 Audi Crooks 50% (4 pts) Liv McGill 25% (2 pts) Liv McGill 75% (3 misses) Ellie Brueggemann 25% (1 misses)
Mid-range right 1-5 20.0 2 Stailee Heard 100% (2 pts) - Ellie Brueggemann 50% (2 misses) Audi Crooks 25% (1 misses)
Left corner 3 5-13 38.5 15 Nene Ndiaye 40% (6 pts) Callin Hake 20% (3 pts) Callin Hake 38% (3 misses) Addisyn Bollinger 12% (1 misses)
Right corner 3 5-7 71.4 15 Zoe Canfield 40% (6 pts) Liv McGill 20% (3 pts) Liv McGill 50% (1 misses) Nene Ndiaye 50% (1 misses)
Above-break 3 left 12-28 42.9 36 Nene Ndiaye 33% (12 pts) Callin Hake 25% (9 pts) Liv McGill 25% (4 misses) Yuting Deng 25% (4 misses)
Above-break 3 center 2-10 20.0 6 Liv McGill 50% (3 pts) Talexa Weeter 50% (3 pts) Callin Hake 25% (2 misses) Talexa Weeter 25% (2 misses)
Above-break 3 right 4-11 36.4 12 Callin Hake 50% (6 pts) Addisyn Bollinger 25% (3 pts) Callin Hake 29% (2 misses) Stailee Heard 29% (2 misses)