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Georgia Tech

Also known as: Georgia Tech Yellow Jackets, Georgia Tech
Program History

2016 Team Stats (10 games)

70.8
PPG
73.7
Opp
-2.9
Margin
43.8%
FG%
40.3%
3P%
70.5%
FT%
38.5
RPG
12.1
APG
11.9
TO
-
Est. poss./game
76.2
Adj PPG
65.6
Adj Opp PPG
#47
Scoring Rank

Model Outputs

2015-2016
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†’ 1232 (#47) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1178 (#61) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1085 (#69) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +11.6 (#45) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +12.5 (#40) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.601 (#117) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.6 More โ†’ 0.858 (#53) AdjNet +15.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.8 More โ†’ 0.861 (#53) AdjNet +15.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.2 | AdjD 65.6 More โ†’ 0.723 (#47) AdjO 76.2 | AdjD 65.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.9 | AdjD 66.9 More โ†’ 0.654 (#52) AdjO 73.9 | AdjD 66.9
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†’ 0.764 (#51) 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†’ 0.752 (#51) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 36 More โ†’ 1184 (#61) RD 94 | GP 36

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Cornell Big Red W 116 - 81
2015-11-16 vs Tennessee Volunteers W 69 - 67
2015-11-19 vs Green Bay Phoenix W 107 - 77
2015-11-22 vs East Tennessee State Buccaneers L 68 - 69
2015-11-26 vs Arkansas Razorbacks W 83 - 73
2015-11-27 @ Villanova Wildcats L 52 - 69
2015-12-01 vs Wofford Terriers W 77 - 61
2015-12-05 @ Tulane Green Wave W 76 - 68
2015-12-15 vs VCU Rams W 77 - 64
2015-12-19 @ Georgia Bulldogs L 61 - 75
2015-12-21 vs SE Louisiana Lions W 75 - 62
2015-12-23 vs Colgate Raiders W 76 - 60
2015-12-29 vs Duquesne Dukes W 73 - 67
2016-01-02 @ North Carolina Tar Heels L 78 - 86
2016-01-06 @ Pittsburgh Panthers L 84 - 89
2016-01-09 vs Virginia Cavaliers W 68 - 64
2016-01-13 @ Notre Dame Fighting Irish L 64 - 72
2016-01-16 vs Virginia Tech Hokies L 77 - 78
2016-01-23 vs Louisville Cardinals L 71 - 75
2016-01-27 @ NC State Wolfpack W 90 - 83
2016-01-30 @ Syracuse Orange L 57 - 60
2016-02-02 vs Duke Blue Devils L 71 - 80
2016-02-07 vs Miami Hurricanes L 68 - 75
2016-02-10 vs Wake Forest Demon Deacons W 71 - 66
2016-02-13 @ Clemson Tigers L 52 - 66
2016-02-17 @ Florida State Seminoles W 86 - 80
2016-02-20 vs Notre Dame Fighting Irish W 63 - 62
2016-02-23 vs Clemson Tigers W 75 - 73
2016-02-27 @ Boston College Eagles W 76 - 71
2016-03-01 @ Louisville Cardinals L 53 - 56
2016-03-05 vs Pittsburgh Panthers W 63 - 59
2016-03-09 @ Clemson Tigers W 88 - 85
2016-03-10 @ Virginia Cavaliers L 52 - 72
2016-03-16 vs Houston Cougars W 81 - 62
2016-03-21 @ South Carolina Gamecocks W 83 - 66
2016-03-23 @ San Diego State Aztecs L 56 - 72

2016 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%
Marcus Georges-Hunt Marcus Georges-Hunt G 33 32.3 16.4 3.5 3.1 0.9 0.4 2.2 5.0 17.1 84 28 3.0 4.4 38.4 28.3 83.2 1.87 129.8 42.4
Adam Smith Adam Smith G 33 30.2 14.4 2.2 1.8 0.4 0.0 1.1 5.6 12.1 86 28 3.1 4.7 40.0 43.8 76.7 1.56 119.6 53.2
Nick Jacobs Nick Jacobs F 33 22.9 10.7 5.8 0.3 0.4 0.7 1.4 4.1 12.3 47 27 1.7 3.4 44.8 0 76.9 2.43 121.4 44.8
Charles Mitchell Charles Mitchell F 33 25.5 10.2 10.1 0.6 0.7 0.4 1.7 3.7 16.5 120 28 4.3 8.2 55.3 0 60.0 4.35 119.5 55.3
Tadric Jackson Tadric Jackson G 33 14.0 4.8 1.1 1.2 0.5 0.1 0.8 1.6 5.2 3 28 0.1 0.4 41.5 33.3 50.0 -0.79 126.8 49.1
Quinton Stephens Quinton Stephens F 33 19.5 4.7 3.7 1.1 0.3 0.4 0.8 1.9 7.4 34 27 1.3 2.7 40.3 32.4 33.3 -0.61 119.9 49.2
James White James White F 33 14.4 3.5 4.4 0.4 0.3 0.8 0.6 1.2 7.4 11 28 0.4 1.4 58.5 0 25.0 -0.27 128.0 58.5
Ben Lammers Ben Lammers C 33 14.4 3.5 3.9 0.5 0.4 1.3 0.5 1.2 7.9 70 28 2.5 7.9 60.5 0 50.0 4.91 131.7 60.5
Josh Heath Josh Heath G 32 17.6 2.7 1.1 2.8 0.5 0.1 0.8 0.8 5.5 40 24 1.7 4.6 37.0 50.0 83.3 -0.59 123.1 38.9
Travis Jorgenson Travis Jorgenson G 25 12.6 2.0 1.0 2.2 0.3 0.0 0.7 0.8 4.1 13 22 0.6 2.4 31.6 20.0 0.0 -1.71 131.2 36.8
Corey Heyward Corey Heyward G 6 3.2 0.3 0.2 0.0 0.2 0.0 0.2 0.2 0.3 -14 5 -2.8 -33.7 0.0 0 0 -3.74 100.0 0.0
Rand Rowland Rand Rowland F 4 2.5 0.0 0.0 0.0 0.0 0.0 0.2 0.0 -0.2 - - - - 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