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LSU

2026-2027 Team Stats (4 games)

115.3
PPG
-
Opp
-
Margin
57.5%
FG%
43.8%
3P%
67.5%
FT%
56.0
RPG
27.5
APG
10.8
TO
79.0
Est. poss./game
91.1
Adj PPG
46.9
Adj Opp PPG
#1
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 1613 (returning production + recruiting): last season 1243, returning +216, transfers +154, freshmen +0 More โ†’ 1614 (#5) Preseason prior 1613 (returning production + recruiting): last season 1243, returning +216, transfers +154, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +169 elo More โ†’ 1361 (#5) HCA +169 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +169 elo More โ†’ 1355 (#5) HCA +169 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More โ†’ +50.5 (#1) HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.6 More โ†’ +50.3 (#1) HCA +1.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.999 (#1) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +60.8 More โ†’ 0.995 (#1) AdjNet +60.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +62.3 More โ†’ 0.997 (#1) AdjNet +62.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 91.1 | AdjD 46.9 More โ†’ 0.978 (#1) AdjO 91.1 | AdjD 46.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 91.0 | AdjD 47.0 More โ†’ 0.977 (#1) AdjO 91.0 | AdjD 47.0
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†’ 0.981 (#1) 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†’ 0.981 (#1) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 175 | GP 4 More โ†’ 1401 (#4) RD 175 | GP 4
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†’ 0.982 (#1) Chronological component blend with rest and venue.

Rank through the season

League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.

Recency Ensemble Log Adjusted Elo Points Off/Def Recency

2026-2027 Schedule & Results

Date Vs/At Opponent Result Score
2026-11-02 vs SE Louisiana Lady Lions W 129 - 35
2026-11-05 vs Texas Southern Tigers W 131 - 22
2026-11-10 vs McNeese Cowgirls W 100 - 43
2026-11-13 vs Denver Pioneers W 101 - 37
2026-11-16 vs Troy Trojans - Preview
2026-11-19 vs Fairleigh Dickinson Knights - 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%
ZaKiyah Johnson ZaKiyah Johnson G 4 24.5 19.2 8.8 1.5 2.2 0.2 1.2 11.8 19.0 160 3 53.3 85.5 70.2 33.3 69.2 3.14 73.0 72.3
Mikaylah Williams Mikaylah Williams G 4 27.2 19.0 5.2 5.5 3.2 0.5 0.8 12.5 20.2 176 3 58.7 89.6 58.0 45.5 61.5 6.88 68.2 68.0
MiLaysia Fulwiley MiLaysia Fulwiley G 4 24.5 17.8 3.5 4.2 4.2 2.8 0.5 12.8 19.2 148 3 49.3 83.1 54.9 36.8 72.7 5.36 63.6 61.8
Anna Minaeva Anna Minaeva F 4 17.8 13.0 8.0 0.8 0.2 1.8 2.0 8.0 13.8 102 3 34.0 79.8 65.6 0 62.5 1.7 66.6 65.6
Grace Knox Grace Knox F 4 22.0 10.8 5.5 1.0 1.8 1.2 1.2 7.8 11.2 150 3 50.0 90.7 54.8 0.0 69.2 4.1 58.6 54.8
Lola Lampley Lola Lampley G 4 17.5 10.0 4.5 1.0 2.2 0.0 1.5 8.0 8.2 108 3 36.0 80.2 40.6 40.0 70.6 3.37 50.7 43.8
Noa Morro Noa Morro F 2 15.0 10.0 5.0 0.5 0.0 1.0 0.5 4.0 12.0 25 1 25.0 76.6 62.5 50.0 87.5 1.25 86.8 81.2
Jada Williams Jada Williams G 4 26.2 10.0 5.5 6.8 1.5 0.2 1.5 5.8 16.8 185 3 61.7 86.5 56.5 61.5 66.7 6.6 74.2 73.9
Laila Reynolds Laila Reynolds G 4 20.5 7.0 5.2 3.2 1.5 0.0 0.8 5.8 10.5 143 3 47.7 92.6 52.2 0.0 50.0 4.72 52.8 52.2
Chloe Larry Chloe Larry G 2 14.0 4.0 5.5 6.0 1.0 0.0 1.0 3.0 12.5 66 2 33.0 95.2 66.7 0 0 1.0 66.7 66.7
Meghan Yarnevich Meghan Yarnevich F 3 7.0 2.0 1.3 0.3 0.0 0.0 0.7 1.0 2.0 37 2 18.5 91.5 33.3 0 66.7 1.98 53.2 33.3

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 LSU players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last LSU 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
Angel Reese 2022-24 WNBA Atlanta Dream 43 31.1 16.4 12.1 2.8 10-31 8 pts, 12 reb, 1 ast Playoffs 7 GP, 14.7 PPG, 12.9 RPG, 3.0 APG
Flau'jae Johnson 2022-26 WNBA Seattle Storm 42 28.7 14.9 4.8 2.9 09-23 21 pts, 6 reb, 4 ast no games
Aneesah Morrow 2023-25 WNBA Toronto Tempo (2 teams) 27 22.3 11.0 8.3 1.4 08-21 0 pts, 2 reb, 0 ast no games
Hailey Van Lith 2023-24 WNBA Connecticut Sun 22 15.8 5.5 1.6 2.1 09-24 12 pts, 9 reb, 8 ast no games

Alumni around the leagues: recent games

Date Player League Team Opponent MIN PTS REB AST Box
2026-10-31 Angel Reese WNBA Playoffs Atlanta Dream @ Golden State Valkyries 33 8 12 1 Box
2026-10-29 Angel Reese WNBA Playoffs Atlanta Dream vs Golden State Valkyries 35 15 14 6 Box
2026-10-26 Angel Reese WNBA Playoffs Atlanta Dream @ Golden State Valkyries 33 7 15 5 Box
2026-09-24 Hailey Van Lith WNBA Connecticut Sun vs Toronto Tempo 28 12 9 8 Box
2026-09-23 Flau'jae Johnson WNBA Seattle Storm vs Dallas Wings 35 21 6 4 Box
2026-09-20 Hailey Van Lith WNBA Connecticut Sun vs Minnesota Lynx 13 2 2 2 Box
2026-09-20 Flau'jae Johnson WNBA Seattle Storm @ Las Vegas Aces 32 29 6 6 Box
2026-09-19 Flau'jae Johnson WNBA Seattle Storm @ Golden State Valkyries 34 17 5 2 Box
2026-09-17 Hailey Van Lith WNBA Connecticut Sun @ Atlanta Dream 19 2 0 2 Box
2026-08-21 Aneesah Morrow WNBA Toronto Tempo vs Portland Fire 7 0 2 0 Box
2026-08-19 Aneesah Morrow WNBA Toronto Tempo @ Washington Mystics 23 13 8 0 Box
2026-08-18 Aneesah Morrow WNBA Toronto Tempo vs Indiana Fever 29 14 16 2 Box

2026-2027 Shot Zones

306 located field-goal attempts in 4 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).

Johnson24% Minaeva22% Fulwiley25% Williams50% Knox57% Williams67% Fulwiley25% Williams42% Williams67% Fulwiley30%
Points: who the team's points here most likely come from
Minaeva24% Lampley23% Fulwiley29% Knox67% Knox29% Fulwiley100% Williams33% Fulwiley38% Johnson67% Williams33%
Misses: who misses most here

Mikaylah WilliamsZaKiyah JohnsonMiLaysia FulwileyAnna MinaevaGrace KnoxJada WilliamsLola Lampley

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 75-92 81.5 150 ZaKiyah Johnson 24% (36 pts) MiLaysia Fulwiley 19% (28 pts) Anna Minaeva 24% (4 misses) Laila Reynolds 24% (4 misses)
Paint (non-RA) 50-98 51.0 100 Anna Minaeva 22% (22 pts) ZaKiyah Johnson 20% (20 pts) Lola Lampley 23% (11 misses) Grace Knox 17% (8 misses)
Mid-range left 8-22 36.4 16 MiLaysia Fulwiley 25% (4 pts) Mikaylah Williams 25% (4 pts) MiLaysia Fulwiley 29% (4 misses) Mikaylah Williams 29% (4 misses)
Mid-range center 4-7 57.1 8 Mikaylah Williams 50% (4 pts) Anna Minaeva 25% (2 pts) Grace Knox 67% (2 misses) ZaKiyah Johnson 33% (1 misses)
Mid-range right 7-14 50.0 14 Grace Knox 57% (8 pts) ZaKiyah Johnson 29% (4 pts) Grace Knox 29% (2 misses) Laila Reynolds 14% (1 misses)
Left corner 3 3-4 75.0 9 Mikaylah Williams 67% (6 pts) ZaKiyah Johnson 33% (3 pts) MiLaysia Fulwiley 100% (1 misses) -
Right corner 3 4-7 57.1 12 MiLaysia Fulwiley 25% (3 pts) Mikaylah Williams 25% (3 pts) Jada Williams 33% (1 misses) Laila Reynolds 33% (1 misses)
Above-break 3 left 12-28 42.9 36 Jada Williams 42% (15 pts) MiLaysia Fulwiley 25% (9 pts) MiLaysia Fulwiley 38% (6 misses) Mikaylah Williams 38% (6 misses)
Above-break 3 center 3-6 50.0 9 Mikaylah Williams 67% (6 pts) Jada Williams 33% (3 pts) ZaKiyah Johnson 67% (2 misses) Grace Knox 33% (1 misses)
Above-break 3 right 10-28 35.7 30 MiLaysia Fulwiley 30% (9 pts) Mikaylah Williams 30% (9 pts) Mikaylah Williams 33% (6 misses) MiLaysia Fulwiley 28% (5 misses)