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Lipscomb Bisons

Also known as: Lipscomb Bisons
Program History

2019 Team Stats (15 games)

56.2
PPG
73.3
Opp
-17.1
Margin
34.3%
FG%
28.8%
3P%
73.1%
FT%
34.1
RPG
10.9
APG
21.3
TO
-
Est. poss./game
51.7
Adj PPG
71.1
Adj Opp PPG
#336
Scoring Rank

Model Outputs

2018-2019
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†’ 557 (#338) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 681 (#333) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 860 (#327) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ -20.6 (#335) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ -20.4 (#337) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.034 (#345) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -33.3 More โ†’ 0.020 (#339) AdjNet -33.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -33.6 More โ†’ 0.019 (#339) AdjNet -33.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 51.7 | AdjD 71.1 More โ†’ 0.145 (#336) AdjO 51.7 | AdjD 71.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.4 | AdjD 70.6 More โ†’ 0.201 (#344) AdjO 55.4 | AdjD 70.6
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†’ 0.093 (#340) 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†’ 0.099 (#342) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 163 | GP 29 More โ†’ 682 (#335) RD 163 | GP 29

2019 Schedule & Results

Date Vs/At Opponent Result Score
2018-11-09 vs Tennessee State Lady Tigers W 64 - 62
2018-11-11 @ Clemson Tigers L 26 - 68
2018-11-15 @ Alabama A&M Bulldogs W 62 - 58
2018-11-17 vs Jacksonville State Gamecocks L 46 - 58
2018-11-20 @ Murray State Racers L 61 - 97
2018-11-24 @ Cincinnati Bearcats L 55 - 71
2018-11-29 @ Austin Peay Governors L 58 - 70
2018-12-04 @ Belmont Bruins L 43 - 83
2018-12-09 vs UT Martin Skyhawks L 53 - 62
2018-12-16 vs Charleston Cougars L 63 - 65
2018-12-19 @ Georgia Lady Bulldogs L 45 - 77
2018-12-21 vs Tennessee Tech Golden Eagles L 52 - 67
2018-12-29 @ Morehead State Eagles L 44 - 79
2019-01-05 @ Jacksonville Dolphins L 47 - 62
2019-01-08 vs North Florida Ospreys L 53 - 68
2019-01-12 vs Stetson Hatters L 65 - 80
2019-01-15 @ NJIT Highlanders L 67 - 80
2019-01-22 @ Florida Gulf Coast Eagles L 40 - 82
2019-01-26 @ Stetson Hatters L 49 - 76
2019-01-29 vs Liberty Flames L 60 - 77
2019-02-02 vs North Alabama Lions L 60 - 81
2019-02-05 @ North Florida Ospreys L 66 - 72
2019-02-09 vs Jacksonville Dolphins W 61 - 58
2019-02-12 @ Liberty Flames L 60 - 74
2019-02-16 @ Kennesaw State Owls L 36 - 67
2019-02-19 vs Florida Gulf Coast Eagles L 46 - 80
2019-02-27 vs NJIT Highlanders L 53 - 69
2019-03-02 @ North Alabama Lions L 50 - 71
2019-03-05 vs Kennesaw State Owls W 72 - 69

2019 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
T. Clark T. Clark F 13 25.4 10.6 4.4 1.6 0.6 0.3 4.2 9.4 4.0 -200 19 -10.5 -16.6 41.0 37.5 68.0 -0.72 51.9 49.6
L. Rau L. Rau G 14 29.5 8.2 2.9 3.4 1.6 0.0 4.3 6.0 5.9 -321 22 -14.6 -19.4 36.9 22.2 86.0 -2.52 52.7 39.3
J. Deason J. Deason G 13 28.9 8.1 5.1 0.5 1.5 0.2 1.6 8.8 4.9 -332 22 -15.1 -20.8 34.2 33.8 50.0 -3.12 45.0 44.7
K. Morrow K. Morrow F 15 18.5 7.0 3.6 0.6 0.5 0.0 1.7 6.1 3.9 -159 24 -6.6 -15.7 38.0 18.2 77.5 -0.79 47.9 40.2
E. Kmec E. Kmec F 11 23.3 6.9 3.7 0.4 0.5 0.5 1.2 6.5 4.2 -125 14 -8.9 -15.2 34.7 30.5 72.7 -0.98 49.5 47.2
C. Short C. Short G 15 26.7 6.8 1.4 2.0 1.1 0.1 1.6 6.7 3.1 -279 24 -11.6 -19.7 32.7 31.6 78.6 -2.41 47.6 45.0
A. Hammaker A. Hammaker G 15 19.8 4.8 4.0 1.0 0.9 0.1 2.2 5.9 2.6 -201 23 -8.7 -18.1 30.3 13.3 63.6 -2.5 36.5 32.6
K. Rosenbaum K. Rosenbaum F 14 13.3 4.8 2.7 0.4 0.4 0.1 1.8 4.4 2.2 -197 22 -9.0 -25.5 37.1 0 65.6 -6.48 44.0 37.1
L. Manos L. Manos G 15 16.7 2.3 2.3 1.1 0.6 0.0 2.0 3.5 0.7 -189 23 -8.2 -19.9 22.6 18.4 75.0 -4.86 31.0 29.2
G. Grillon G. Grillon F 12 11.1 1.7 3.6 0.2 0.2 0.3 0.6 3.1 2.3 -105 18 -5.8 -23.3 24.3 0 33.3 -5.09 25.2 24.3
T. Hammack T. Hammack G 10 9.8 0.9 1.2 0.5 0.0 0.3 1.5 1.0 0.4 -49 14 -3.5 -14.3 30.0 40.0 50.0 -0.56 41.4 40.0
G. Simpson G. Simpson G 3 1.7 0.0 0.0 0.0 0.0 0.0 0.7 0.0 -0.7 -8 7 -1.1 -16.4 0 0 0 -0.7 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