Georgia Tech Yellow Jackets
2026 Team Stats (31 games)
66.3
PPG
65.3
Opp
+1.0
Margin
40.6%
FG%
27.4%
3P%
74.4%
FT%
40.8
RPG
15.5
APG
16.6
TO
83.8
Pace
68.8
AdjO
57.7
AdjD
#70
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 → | 974 (#204) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1079 (#127) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 965 (#461) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.4 (#68) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +25.5 (#58) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.465 (#183) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.441 (#189) | NetEff -1.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.872 (#72) | AdjNet +16.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.881 (#71) | AdjNet +17.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.732 (#70) | AdjO 68.8 | AdjD 57.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.632 (#109) | AdjO 64.7 | AdjD 58.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.873 (#90) | 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 → | 0.838 (#97) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1041 (#186) | RD 120 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Walker
|
G | 31 | 32.5 | 18.1 | 6.2 | 1.8 | 1.5 | 0.3 | 2.6 | 13.5 | 11.7 | 54 | 2.3 | 4.0 | 44.7 | 40.8 | 78.8 | 2.21 | 56.2 | 49.8 |
C. Alben
|
G | 31 | 21.3 | 8.6 | 2.9 | 1.9 | 1.0 | 0.1 | 2.1 | 9.0 | 3.4 | 44 | 1.9 | 2.8 | 35.1 | 22.5 | 71.6 | 3.51 | 43.3 | 39.2 |
I. Noguero
|
G | 4 | 24.2 | 8.2 | 5.5 | 2.0 | 0.5 | 1.0 | 1.8 | 6.2 | 9.2 | -4 | -1.0 | -1.3 | 56.0 | 60.0 | 100.0 | -1.16 | 63.8 | 62.0 |
L. Foster
|
G | 30 | 24.0 | 8.1 | 3.5 | 1.5 | 0.9 | 0.1 | 1.4 | 8.1 | 4.5 | -48 | -2.2 | -3.4 | 39.3 | 30.1 | 76.5 | -1.6 | 46.9 | 44.5 |
S. Samuel
|
G | 28 | 19.6 | 7.6 | 1.9 | 0.8 | 0.6 | 0.2 | 1.5 | 6.4 | 3.1 | 8 | 0.4 | 0.6 | 39.4 | 28.6 | 80.0 | -0.16 | 50.8 | 44.4 |
J. Crawshaw
|
F | 18 | 14.5 | 7.0 | 2.8 | 0.7 | 0.7 | 0.4 | 1.6 | 5.9 | 4.1 | -37 | -2.2 | -4.7 | 50.9 | 0.0 | 51.4 | -2.11 | 51.9 | 50.9 |
E. Moon
|
G | 31 | 28.5 | 5.7 | 3.0 | 3.3 | 1.0 | 0.2 | 2.5 | 5.5 | 5.1 | -51 | -2.2 | -2.9 | 33.9 | 19.7 | 85.5 | 0.14 | 45.3 | 38.0 |
B. Turnage
|
G | 31 | 31.3 | 5.4 | 11.1 | 3.2 | 1.5 | 1.5 | 2.8 | 4.2 | 15.5 | -2 | -0.1 | -0.1 | 53.1 | 0.0 | 57.1 | 1.83 | 54.8 | 53.1 |
D. Thomas-Harris
|
G | 27 | 13.4 | 5.4 | 3.8 | 0.4 | 0.6 | 0.5 | 1.1 | 5.2 | 4.4 | -3 | -0.1 | -0.4 | 36.4 | 29.5 | 69.8 | -2.02 | 45.6 | 41.1 |
A. Termis
|
C | 31 | 24.7 | 4.1 | 2.7 | 2.1 | 0.4 | 0.7 | 1.4 | 4.8 | 3.8 | -26 | -1.1 | -1.7 | 33.6 | 19.0 | 83.3 | 0.09 | 40.8 | 38.9 |
D. Mukeba Kasanda
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
McKayla Taylor
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 58 | 2.6 | 8.0 | - | - | - | 1.27 | - | - |
Leyre Urdiain
|
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