🐻⬇️🏀

Baylor Bears

Also known as: Baylor Bears
Program History

2023 Team Stats (19 games)

72.3
PPG
62.5
Opp
+10.6
Margin
41.7%
FG%
32.5%
3P%
68.2%
FT%
40.1
RPG
17.1
APG
14.4
TO
86.0
Pace

Model Outputs

2022-2023
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 → 1374 (#5) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1389 (#19) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +44.6 (#27) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.924 (#25) -

2023 Schedule & Results

Date Vs/At Opponent Result Score
2022-11-07 vs Lamar Cardinals W 88 - 50
2022-11-10 vs Incarnate Word Cardinals W 71 - 42
2022-11-15 vs SMU Mustangs W 58 - 55
2022-11-20 vs Maryland Terrapins L 68 - 73
2022-11-26 vs Villanova Wildcats W 75 - 70
2022-12-04 vs Houston Christian Huskies W 79 - 35
2022-12-15 vs Tennessee State Lady Tigers W 93 - 27
2022-12-21 vs Long Beach State Beach W 73 - 52
2022-12-31 vs TCU Horned Frogs W 64 - 42
2023-01-03 @ Oklahoma Sooners W 81 - 70
2023-01-07 @ Kansas Jayhawks W 75 - 62
2023-01-11 vs Oklahoma State Cowgirls L 65 - 70
2023-01-15 @ West Virginia Mountaineers L 65 - 74
2023-02-04 @ Iowa State Cyclones W 76 - 70
2023-02-07 vs Oklahoma Sooners L 92 - 98
2023-02-18 vs Iowa State Cyclones L 77 - 81
2023-02-27 @ Texas Longhorns W 63 - 54
2023-03-10 @ Iowa State Cyclones L 63 - 74
2023-03-18 vs Alabama Crimson Tide W 78 - 74
2023-03-20 @ UConn Huskies L 58 - 77

2023 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
S. Andrews S. Andrews G 18 36.0 15.7 4.0 4.6 1.6 0.7 2.4 15.1 9.1 - - - 36.8 32.1 72.7 - 47.8 44.7
C. Bickle C. Bickle - 17 29.8 12.7 6.5 2.4 0.8 0.3 2.3 8.7 11.6 - - - 50.0 45.2 80.6 - 60.9 54.7
J. Asberry J. Asberry G 18 33.7 11.3 2.7 1.6 1.2 0.2 1.5 11.1 4.4 - - - 36.2 30.3 67.5 - 47.1 44.5
D. Littlepage-Buggs D. Littlepage-Buggs F 19 26.4 10.8 9.6 0.7 1.1 1.0 1.5 8.8 12.8 - - - 51.5 0.0 63.0 - 54.0 51.5
A. Blackwell A. Blackwell G 4 13.0 9.5 6.5 0.8 0.2 0.2 1.0 6.2 10.0 - - - 56.0 0 76.9 - 61.8 56.0
J. Owens J. Owens G 18 33.6 8.2 3.3 6.0 2.3 0.6 2.9 8.0 9.6 - - - 38.2 31.2 82.1 - 47.3 43.4
B. Fontleroy B. Fontleroy F 19 21.6 8.2 5.0 0.7 0.4 0.2 1.5 6.7 6.2 - - - 44.5 36.2 64.1 - 53.7 51.2
K. Gillispie K. Gillispie F 8 13.4 3.9 3.4 0.4 0.1 0.0 0.9 4.6 2.2 - - - 37.8 0 30.0 - 37.4 37.8
J. Van Gytenbeek J. Van Gytenbeek G 16 12.8 2.4 0.8 1.4 0.5 0.0 1.0 2.6 1.5 - - - 31.7 32.1 42.9 - 43.1 42.7
K. Abraham K. Abraham F 7 5.3 2.3 1.9 0.1 0.1 0.3 0.6 1.7 2.4 - - - 66.7 0 0.0 - 54.6 66.7
E. Porter E. Porter F 10 6.8 2.1 1.8 0.2 0.0 0.3 0.8 1.8 1.8 - - - 38.9 0 53.8 - 44.3 38.9
C. Ferreira C. Ferreira G 12 10.7 1.4 2.0 0.7 0.4 0.1 0.9 1.7 2.0 - - - 25.0 12.5 75.0 - 36.1 27.5

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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