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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

2018 Team Stats (17 games)

76.1
PPG
70.4
Opp
+5.7
Margin
46.8%
FG%
36.8%
3P%
70.0%
FT%
37.4
RPG
15.0
APG
13.6
TO
-
Est. poss./game
75.4
Adj PPG
62.9
Adj Opp PPG
#31
Scoring Rank

Model Outputs

2017-2018
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 → 1252 (#53) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1151 (#75) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1007 (#163) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +13.6 (#31) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +11.8 (#38) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.704 (#73) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.5 More → 0.894 (#34) AdjNet +18.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.7 More → 0.897 (#33) AdjNet +18.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.4 | AdjD 62.9 More → 0.757 (#31) AdjO 75.4 | AdjD 62.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.7 | AdjD 66.8 More → 0.651 (#44) AdjO 73.7 | AdjD 66.8
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 → 0.753 (#52) 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 → 0.734 (#55) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 33 More → 1164 (#66) RD 104 | GP 33

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Central Arkansas Bears W 107 - 66
2017-11-13 vs Texas A&M-Corpus Christi Islanders W 70 - 46
2017-11-17 vs Alcorn State Braves W 78 - 61
2017-11-20 @ Wisconsin Badgers W 70 - 65
2017-11-21 @ Creighton Bluejays W 65 - 59
2017-11-28 @ Xavier Musketeers L 63 - 76
2017-12-02 vs Wichita State Shockers L 62 - 69
2017-12-04 vs Sam Houston Bearkats W 84 - 56
2017-12-09 vs Randall Saints W 105 - 82
2017-12-14 vs Texas Southern Tigers W 99 - 68
2017-12-17 vs Savannah State Tigers W 118 - 86
2017-12-20 vs Southern Jaguars W 80 - 60
2017-12-29 @ Texas Tech Red Raiders L 53 - 77
2018-01-02 vs TCU Horned Frogs L 78 - 81
2018-01-06 vs Texas Longhorns W 69 - 60
2018-01-09 @ West Virginia Mountaineers L 54 - 57
2018-01-13 @ Iowa State Cyclones L 65 - 75
2018-01-15 vs Oklahoma State Cowboys W 76 - 60
2018-01-20 @ Kansas Jayhawks L 67 - 70
2018-01-22 vs Kansas State Wildcats L 83 - 90
2018-01-27 @ Florida Gators L 60 - 81
2018-01-30 @ Oklahoma Sooners L 96 - 98
2018-02-03 vs Iowa State Cyclones W 81 - 67
2018-02-06 @ Oklahoma State Cowboys W 67 - 56
2018-02-10 vs Kansas Jayhawks W 80 - 64
2018-02-12 @ Texas Longhorns W 74 - 73
2018-02-17 vs Texas Tech Red Raiders W 59 - 57
2018-02-20 vs West Virginia Mountaineers L 60 - 71
2018-02-24 @ TCU Horned Frogs L 72 - 82
2018-02-27 vs Oklahoma Sooners W 87 - 64
2018-03-03 @ Kansas State Wildcats L 67 - 77
2018-03-08 @ West Virginia Mountaineers L 65 - 78
2018-03-13 vs Wagner Seahawks W 80 - 59
2018-03-18 vs Mississippi State Bulldogs L 77 - 78

2018 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%
Manu Lecomte Manu Lecomte G 30 34.2 16.5 2.3 3.7 0.7 0.0 2.2 7.7 13.1 - - - - 41.6 41.3 87.0 -1.88 94.5 55.0
Juan Cranford, Jr. Juan Cranford, Jr. F 30 31.3 13.9 8.5 0.8 0.5 2.0 2.0 6.8 17.0 - - - - 52.2 18.2 68.9 - 88.3 52.7
T.J. Maston T.J. Maston F 25 22.9 11.4 5.4 0.6 0.4 0.3 1.4 4.8 11.9 - - - - 49.6 22.2 63.2 -2.22 111.5 50.4
Nuni Omot Nuni Omot F 31 24.0 10.5 3.5 1.7 0.5 0.3 1.6 4.6 10.4 - - - - 55.6 48.7 89.4 -1.63 99.0 68.4
King McClure King McClure G 31 23.6 7.8 2.4 1.7 0.9 0.0 1.6 4.8 6.5 - - - - 40.9 36.8 73.2 -1.63 72.1 50.3
Mark Vital Mark Vital G 30 23.7 6.6 5.6 2.1 0.8 0.7 2.1 3.4 10.4 - - - - 54.5 20.0 50.8 -1.27 78.4 55.0
Tristan Clark Tristan Clark F 30 19.9 6.5 4.1 0.7 0.5 0.8 1.2 2.9 8.6 - - - - 58.0 33.3 65.7 0.17 94.8 58.5
Jake Lindsey Jake Lindsey G 31 23.8 4.6 2.5 3.3 1.1 0.4 1.2 2.7 8.0 - - - - 44.7 33.3 68.2 -1.27 76.0 50.6
Tyson Jolly Tyson Jolly G 19 8.8 1.4 1.8 0.9 0.2 0.3 0.7 1.4 2.5 - - - - 25.9 7.7 83.3 -0.61 45.5 27.8
Jonathan Davis Jonathan Davis F 8 3.0 1.1 0.2 0.2 0.0 0.0 0.1 0.9 0.6 - - - - 42.9 33.3 100.0 - 60.5 57.1
Obim Okeke Obim Okeke G 6 3.3 0.5 0.3 0.5 0.2 0.0 0.5 1.0 0.0 - - - - 16.7 20.0 0 - 25.0 25.0

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