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Georgia Tech Yellow Jackets

Also known as: Georgia Tech Yellow Jackets
Program History

2019 Team Stats (9 games)

57.6
PPG
65.7
Opp
-8.1
Margin
33.1%
FG%
25.6%
3P%
68.5%
FT%
39.7
RPG
10.7
APG
15.9
TO
-
Est. poss./game
69.0
Adj PPG
56.5
Adj Opp PPG
#60
Scoring Rank

Model Outputs

2018-2019
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. More โ†’ 1158 (#98) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1170 (#79) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 993 (#183) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +13.7 (#55) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ +12.5 (#64) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.665 (#105) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +21.3 More โ†’ 0.921 (#56) AdjNet +21.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +21.6 More โ†’ 0.924 (#56) AdjNet +21.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.0 | AdjD 56.5 More โ†’ 0.757 (#60) AdjO 69.0 | AdjD 56.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.2 | AdjD 58.7 More โ†’ 0.623 (#91) AdjO 64.2 | AdjD 58.7
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†’ 0.757 (#76) 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†’ 0.733 (#78) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 152 | GP 30 More โ†’ 1122 (#97) RD 152 | GP 30

2019 Schedule & Results

Date Vs/At Opponent Result Score
2018-11-09 @ Houston Cougars L 89 - 95
2018-11-11 vs App State Mountaineers W 71 - 53
2018-11-14 vs Western Carolina Catamounts W 84 - 49
2018-11-18 vs Georgia Lady Bulldogs W 63 - 53
2018-11-22 @ George Washington Revolutionaries W 70 - 55
2018-11-23 vs Idaho State Bengals W 74 - 51
2018-11-29 @ Maryland Terrapins L 54 - 67
2018-12-02 @ Georgia State Panthers W 78 - 71
2018-12-05 vs Alabama State Lady Hornets W 69 - 42
2018-12-16 vs Kennesaw State Owls W 60 - 35
2018-12-20 vs Seton Hall Pirates W 84 - 73
2018-12-21 vs Dayton Flyers L 66 - 85
2018-12-30 vs Wofford Terriers W 81 - 40
2019-01-03 @ Boston College Eagles W 81 - 76
2019-01-06 vs Notre Dame Fighting Irish L 55 - 76
2019-01-10 vs Duke Blue Devils W 70 - 64
2019-01-13 @ Louisville Cardinals L 44 - 61
2019-01-17 @ Clemson Tigers L 61 - 71
2019-01-20 vs Syracuse Orange W 65 - 55
2019-01-27 vs NC State Wolfpack L 60 - 68
2019-01-31 @ North Carolina Tar Heels L 90 - 91
2019-02-03 @ Notre Dame Fighting Irish L 50 - 90
2019-02-07 vs Pittsburgh Panthers W 67 - 55
2019-02-10 @ Wake Forest Demon Deacons W 60 - 46
2019-02-17 vs Virginia Tech Hokies W 76 - 68
2019-02-21 vs Clemson Tigers W 75 - 53
2019-02-24 @ Virginia Cavaliers L 45 - 53
2019-02-28 @ Miami Hurricanes L 56 - 69
2019-03-03 vs Florida State Seminoles L 55 - 64
2019-03-07 @ North Carolina Tar Heels L 73 - 80

2019 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%
E. Balogun E. Balogun G 9 30.0 13.9 4.6 1.1 1.9 0.9 2.0 14.1 6.2 -31 19 -1.6 -2.3 36.2 28.4 66.7 -0.27 45.9 43.7
L. Dixon L. Dixon - 9 24.7 9.9 6.1 0.3 0.7 1.0 1.6 8.2 8.2 29 19 1.5 2.5 50.0 0 75.0 2.53 53.7 50.0
K. Fletcher K. Fletcher G 7 36.0 9.1 5.1 3.7 1.4 0.4 2.3 10.0 7.6 14 16 0.9 1.1 25.7 0.0 80.0 0.75 37.5 25.7
F. Pan F. Pan G 7 29.7 9.0 4.3 1.3 1.7 0.1 2.3 10.9 3.3 71 16 4.4 5.8 27.6 25.0 84.6 4.78 38.5 34.2
L. Cubaj L. Cubaj - 9 28.4 6.9 7.2 1.2 1.4 1.3 2.3 8.7 7.1 -21 19 -1.1 -1.6 33.3 0.0 47.6 1.59 35.5 33.3
J. Carson J. Carson G 5 11.4 5.2 0.4 0.4 0.8 0.0 0.8 4.4 1.6 -27 13 -2.1 -13.3 40.9 40.0 50.0 -1.64 54.7 54.5
L. Lahtinen L. Lahtinen G 9 22.2 3.6 3.1 2.2 0.7 0.1 2.7 5.8 1.2 -30 19 -1.6 -3.1 25.0 28.6 50.0 -0.02 29.8 28.8
C. Scott C. Scott G 9 18.4 3.4 2.6 0.9 1.2 0.0 1.1 4.2 2.8 -6 19 -0.3 -0.7 36.8 0.0 50.0 0.92 38.1 36.8
A. Francoise Diouf A. Francoise Diouf F 9 7.0 1.4 1.6 0.1 0.3 0.3 0.6 1.8 1.4 -35 15 -2.3 -13.9 37.5 0 100.0 -3.35 39.5 37.5
D. Jefferson D. Jefferson F 7 8.6 1.1 1.3 0.4 0.0 0.1 0.6 3.0 -0.6 1 12 0.1 0.5 14.3 9.1 50.0 -1.52 18.3 16.7
D. Gregg D. Gregg F 6 4.5 0.8 0.7 0.5 0.0 0.0 0.7 2.2 -0.8 -6 12 -0.5 -3.1 15.4 14.3 0 -0.47 19.2 19.2
M. Fortune M. Fortune F 3 1.3 0.0 0.3 0.0 0.3 0.0 0.3 0.3 0.0 - - - - 0.0 0 0 -1.94 0.0 0.0
K. Montgomery K. Montgomery G 3 4.7 0.0 0.0 0.0 0.0 0.0 0.7 0.7 -1.3 -1 5 -0.2 -1.3 0.0 0 0 -0.32 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