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Baylor

Also known as: Baylor Bears, Baylor
Program History

2015 Team Stats (26 games)

69.6
PPG
61.7
Opp
+7.9
Margin
43.2%
FG%
38.0%
3P%
69.1%
FT%
38.8
RPG
14.8
APG
12.5
TO
-
Est. poss./game
70.8
Adj PPG
55.3
Adj Opp PPG
#15
Scoring Rank

Model Outputs

2014-2015
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†’ 1311 (#22) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1245 (#24) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 1065 (#84) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +16.7 (#15) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +12.8 (#23) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.821 (#20) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +26.0 More โ†’ 0.953 (#14) AdjNet +26.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +26.3 More โ†’ 0.955 (#14) AdjNet +26.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.8 | AdjD 55.3 More โ†’ 0.804 (#15) AdjO 70.8 | AdjD 55.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.5 | AdjD 60.2 More โ†’ 0.680 (#23) AdjO 68.5 | AdjD 60.2
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†’ 0.830 (#20) 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†’ 0.811 (#22) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 33 More โ†’ 1248 (#28) RD 112 | GP 33

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs McNeese Cowboys W 80 - 39
2014-11-18 @ South Carolina Gamecocks W 69 - 65
2014-11-21 vs Prairie View A&M Panthers W 60 - 45
2014-11-24 vs Stephen F. Austin Lumberjacks W 67 - 51
2014-11-27 vs Memphis Tigers W 71 - 47
2014-11-28 @ Illinois Fighting Illini L 54 - 62
2014-12-01 vs Texas Southern Tigers W 75 - 49
2014-12-04 @ Vanderbilt Commodores W 66 - 63
2014-12-09 vs Texas A&M Aggies W 77 - 63
2014-12-17 vs New Mexico State Aggies W 66 - 55
2014-12-22 vs Southern Jaguars W 70 - 66
2014-12-30 vs Norfolk State Spartans W 92 - 51
2015-01-03 @ Oklahoma Sooners L 63 - 73
2015-01-07 vs Kansas Jayhawks L 55 - 56
2015-01-10 @ TCU Horned Frogs W 66 - 59
2015-01-14 vs Iowa State Cyclones W 74 - 73
2015-01-17 @ Kansas State Wildcats L 61 - 63
2015-01-21 vs Huston Tillotson Rams W 81 - 61
2015-01-24 vs Oklahoma Sooners W 69 - 58
2015-01-27 @ Oklahoma State Cowboys L 53 - 64
2015-01-31 vs Texas Longhorns W 83 - 60
2015-02-04 vs TCU Horned Frogs W 77 - 57
2015-02-07 @ West Virginia Mountaineers W 87 - 69
2015-02-09 vs Oklahoma State Cowboys L 65 - 74
2015-02-14 @ Kansas Jayhawks L 64 - 74
2015-02-17 @ Texas Tech Red Raiders W 54 - 49
2015-02-21 vs Kansas State Wildcats W 69 - 42
2015-02-25 @ Iowa State Cyclones W 79 - 70
2015-02-28 vs West Virginia Mountaineers W 78 - 66
2015-03-02 @ Texas Longhorns L 59 - 61
2015-03-06 vs Texas Tech Red Raiders W 77 - 74
2015-03-12 vs West Virginia Mountaineers W 80 - 70
2015-03-13 @ Kansas Jayhawks L 52 - 62
2015-03-19 vs Georgia State Panthers L 56 - 57

2015 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 26.3 13.9 5.6 1.3 1.4 0.9 2.0 9.6 11.5 108 28 3.9 6.2 46.5 37.6 67.5 0.93 65.6 54.9
Rico Gathers Rico Gathers F 34 29.9 11.6 11.6 0.5 1.2 1.0 1.0 7.3 17.5 143 28 5.1 7.3 47.2 0 61.5 1.25 61.1 47.2
Kenny Chery Kenny Chery G 29 32.4 11.3 3.1 4.1 1.4 0.0 2.6 8.8 8.5 135 24 5.6 7.4 38.2 37.4 83.1 2.52 57.3 47.2
Royce O'Neale Royce O'Neale F 33 32.1 10.1 5.8 3.4 1.2 0.3 1.7 5.8 13.4 150 28 5.4 7.0 46.6 46.2 82.3 1.47 73.8 57.9
Johnathan Motley Johnathan Motley F 34 21.5 7.7 4.2 0.7 0.4 1.4 1.6 5.5 7.3 100 28 3.6 7.1 42.2 11.1 60.8 0.97 59.9 42.5
Lester Medford Lester Medford G 34 29.6 7.6 1.4 3.1 1.5 0.1 1.7 5.2 6.9 162 28 5.8 8.3 39.2 42.3 66.7 2.75 65.7 50.9
Allerik Freeman Allerik Freeman G 34 17.1 4.8 1.9 1.0 0.3 0.0 1.1 2.6 4.2 38 28 1.4 3.5 43.2 33.3 68.8 -0.17 79.8 50.6
Deng Deng Deng Deng F 23 8.8 2.9 2.0 0.2 0.4 0.3 0.9 1.7 3.2 2 17 0.1 0.6 43.6 0.0 40.0 -2.15 76.0 43.6
T.J. Maston T.J. Maston F 10 3.6 1.9 1.0 0.1 0.2 0.1 0.3 1.2 1.8 -2 8 -0.2 -3.5 50.0 0 75.0 -1.24 69.0 50.0
Ishmail Wainright Ishmail Wainright G 31 9.6 1.4 1.7 0.8 0.2 0.0 0.5 0.6 2.9 24 24 1.0 4.5 30.0 12.5 81.0 0.69 71.8 32.5
Austin Mills Austin Mills G 17 5.8 1.2 0.2 0.8 0.2 0.0 0.4 0.7 1.4 0 13 0.0 0.0 25.0 14.3 100.0 -2.39 67.7 29.2
John Heard John Heard F 7 2.1 0.4 0.6 0.0 0.0 0.0 0.0 0.4 0.6 - - - - 0.0 0.0 0 -1.6 50.0 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