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Baylor

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Baylor Bears, Baylor
Program History
Coach: Scott Drew

2016 Team Stats (30 games)

75.5
PPG
69.9
Opp
+5.6
Margin
46.5%
FG%
35.9%
3P%
70.4%
FT%
36.8
RPG
17.2
APG
13.0
TO
-
Est. poss./game
79.2
Adj PPG
65.4
Adj Opp PPG
#27
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 → 1275 (#39) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1226 (#37) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 1039 (#115) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +15.0 (#27) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +13.2 (#34) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.731 (#61) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +21.5 More → 0.923 (#26) AdjNet +21.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +21.8 More → 0.925 (#26) AdjNet +21.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.2 | AdjD 65.4 More → 0.779 (#27) AdjO 79.2 | AdjD 65.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.7 | AdjD 67.8 More → 0.672 (#40) AdjO 75.7 | AdjD 67.8
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 → 0.796 (#38) 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 → 0.778 (#39) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 110 | GP 33 More → 1222 (#41) RD 110 | GP 33

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Stephen F. Austin Lumberjacks W 97 - 55
2015-11-16 @ Oregon Ducks L 67 - 74
2015-11-20 vs Jackson State Tigers W 77 - 60
2015-11-23 vs Savannah State Tigers W 100 - 61
2015-11-27 vs Arkansas State Red Wolves W 94 - 72
2015-12-02 vs Prairie View A&M Panthers W 80 - 41
2015-12-06 vs Vanderbilt Commodores W 69 - 67
2015-12-08 vs Northwestern State Demons W 75 - 62
2015-12-16 vs Hardin Simmons Cowboys W 104 - 59
2015-12-19 @ Texas A&M Aggies L 61 - 80
2015-12-23 vs New Mexico State Aggies W 85 - 70
2015-12-29 vs Texas Southern Tigers W 72 - 59
2016-01-02 @ Kansas Jayhawks L 74 - 102
2016-01-05 vs Oklahoma State Cowboys W 79 - 62
2016-01-09 @ Iowa State Cyclones W 94 - 89
2016-01-13 vs TCU Horned Frogs W 82 - 54
2016-01-16 @ Texas Tech Red Raiders W 63 - 60
2016-01-20 vs Kansas State Wildcats W 79 - 72
2016-01-23 vs Oklahoma Sooners L 72 - 82
2016-01-27 @ Oklahoma State Cowboys W 69 - 65
2016-01-30 vs Georgia Bulldogs W 83 - 73
2016-02-01 vs Texas Longhorns L 59 - 67
2016-02-06 @ West Virginia Mountaineers L 69 - 80
2016-02-10 @ Kansas State Wildcats W 82 - 72
2016-02-13 vs Texas Tech Red Raiders L 66 - 84
2016-02-16 vs Iowa State Cyclones W 100 - 91
2016-02-20 @ Texas Longhorns W 78 - 64
2016-02-23 vs Kansas Jayhawks L 60 - 66
2016-02-27 @ TCU Horned Frogs W 86 - 71
2016-03-01 @ Oklahoma Sooners L 71 - 73
2016-03-05 vs West Virginia Mountaineers L 58 - 69
2016-03-10 @ Texas Longhorns W 75 - 61
2016-03-11 @ Kansas Jayhawks L 66 - 70
2016-03-17 vs Yale Bulldogs L 75 - 79

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%
Taurean Prince Taurean Prince F 33 30.7 15.6 6.0 2.2 1.2 0.7 2.6 11.4 11.7 102 28 3.6 5.0 43.8 35.2 74.4 0.53 59.6 49.7
Rico Gathers Rico Gathers F 31 25.5 11.3 8.8 0.5 1.0 0.8 1.2 7.0 14.1 60 26 2.3 4.0 50.9 100.0 59.4 -1.65 63.6 51.1
Allerik Freeman Allerik Freeman G 33 30.0 11.1 3.4 1.6 0.8 0.0 1.4 7.8 7.6 83 28 3.0 4.3 40.9 35.1 83.5 -0.56 62.3 48.5
Johnathan Motley Johnathan Motley F 33 21.0 11.0 5.2 0.9 0.5 1.1 1.5 6.6 10.7 114 28 4.1 8.6 61.0 0.0 57.8 2.58 69.2 61.0
Lester Medford Lester Medford G 33 32.7 8.8 2.3 6.6 1.6 0.1 2.4 6.8 10.3 144 28 5.1 6.7 38.8 35.6 75.0 5.14 56.7 46.9
T.J. Maston T.J. Maston F 33 12.1 6.1 2.4 0.4 0.4 0.4 0.9 3.7 5.1 91 28 3.2 12.0 58.2 0 85.4 2.19 70.6 58.2
Ishmail Wainright Ishmail Wainright G 33 24.9 6.0 4.3 2.6 0.9 0.5 1.4 4.7 8.3 107 28 3.8 6.3 42.3 41.3 74.3 2.26 57.8 50.6
King McClure King McClure G 33 13.0 4.5 1.2 0.6 0.9 0.1 0.4 3.1 3.8 84 28 3.0 9.8 43.7 37.1 66.7 0.13 65.6 56.3
Jake Lindsey Jake Lindsey G 33 12.5 2.3 1.5 2.0 0.5 0.2 0.7 2.1 3.6 96 28 3.4 11.8 42.0 26.7 66.7 1.06 49.4 44.9
Austin Mills Austin Mills G 9 3.3 1.1 0.2 0.8 0.1 0.1 0.3 1.0 1.0 23 6 3.8 39.7 33.3 28.6 100.0 1.09 50.6 44.4
John Heard John Heard F 8 2.2 0.8 0.5 0.0 0.1 0.0 0.0 0.8 0.6 11 6 1.8 30.8 33.3 25.0 100.0 0.33 46.6 41.7

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