LSU Tigers
2026 Team Stats (35 games)
95.0
PPG
61.1
Opp
+33.9
Margin
50.8%
FG%
37.8%
3P%
74.9%
FT%
48.1
RPG
18.1
APG
14.6
TO
95.5
Pace
97.2
AdjO
52.1
AdjD
#5
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 → | 1363 (#13) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1394 (#13) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1134 (#34) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +46.3 (#5) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +57.7 (#4) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.994 (#2) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.997 (#2) | NetEff +46.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#5) | AdjNet +59.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#5) | AdjNet +61.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.984 (#5) | AdjO 97.2 | AdjD 52.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.956 (#5) | AdjO 90.3 | AdjD 56.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.994 (#5) | 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 → | 0.991 (#5) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1393 (#10) | RD 103 | GP 35 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Fulwiley
|
G | 35 | 22.7 | 14.6 | 3.6 | 3.5 | 2.8 | 1.4 | 2.4 | 11.5 | 12.1 | 167 | 7.3 | 15.5 | 47.4 | 32.6 | 78.1 | 3.2 | 56.6 | 52.6 |
F. Johnson
|
G | 35 | 25.1 | 14.2 | 4.2 | 2.5 | 1.3 | 0.7 | 1.7 | 11.7 | 9.6 | 198 | 7.1 | 13.4 | 46.5 | 39.3 | 69.3 | 1.44 | 54.9 | 52.3 |
M. Williams III
|
G | 35 | 28.5 | 14.2 | 5.3 | 3.6 | 1.4 | 0.2 | 2.4 | 10.4 | 11.9 | - | - | - | 50.7 | 42.0 | 83.9 | - | 61.3 | 57.5 |
Z. Johnson
|
G | 34 | 18.9 | 9.7 | 5.6 | 1.0 | 0.8 | 0.5 | 1.0 | 6.5 | 10.0 | 138 | 6.3 | 12.6 | 59.9 | 66.7 | 69.7 | 3.92 | 63.2 | 60.4 |
J. Richard
|
G | 35 | 26.2 | 9.5 | 2.7 | 3.3 | 1.3 | 0.1 | 1.6 | 7.4 | 8.1 | 142 | 6.2 | 9.2 | 44.8 | 40.8 | 88.6 | 2.88 | 56.7 | 50.8 |
A. Joyner
|
F | 34 | 20.8 | 9.2 | 7.5 | 1.2 | 0.7 | 0.7 | 1.3 | 6.2 | 11.8 | 122 | 5.3 | 10.4 | 59.7 | 0 | 68.9 | 0.76 | 62.6 | 59.7 |
G. Knox
|
F | 33 | 18.5 | 8.8 | 4.6 | 0.5 | 0.6 | 0.7 | 1.0 | 5.5 | 8.7 | 136 | 6.2 | 13.4 | 62.1 | 0 | 74.7 | 3.17 | 66.1 | 62.1 |
K. Koval
|
F | 35 | 16.6 | 8.3 | 6.3 | 0.4 | 1.1 | 1.2 | 1.3 | 5.5 | 10.5 | 140 | 6.1 | 12.8 | 56.0 | 0 | 75.2 | 2.39 | 61.5 | 56.0 |
K. Gilbert
|
G | 5 | 13.6 | 5.6 | 1.6 | 2.0 | 0.8 | 0.0 | 1.2 | 5.0 | 3.8 | 47 | 6.7 | 35.8 | 32.0 | 12.5 | 100.0 | 5.03 | 46.9 | 34.0 |
B. Hines
|
G | 33 | 13.3 | 4.2 | 2.2 | 1.1 | 0.7 | 0.2 | 0.7 | 3.6 | 4.2 | 114 | 5.4 | 15.9 | 44.9 | 37.3 | 55.0 | 2.16 | 54.8 | 54.2 |
D. Bourrage
|
G | 24 | 10.0 | 2.1 | 1.7 | 0.7 | 0.7 | 0.0 | 1.0 | 2.0 | 2.2 | 34 | 1.9 | 6.1 | 33.3 | 31.2 | 65.0 | -1.07 | 44.0 | 38.5 |
M. Yarnevich
|
F | 20 | 6.2 | 2.0 | 1.6 | 0.2 | 0.3 | 0.1 | 0.4 | 1.6 | 2.1 | -10 | -0.6 | -3.6 | 42.4 | 0 | 56.5 | -0.62 | 47.5 | 42.4 |
I. Besselman
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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