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Lipscomb

Also known as: Lipscomb Bisons
Program History

2015 Team Stats (2 games)

61.5
PPG
89.0
Opp
-27.5
Margin
31.9%
FG%
27.6%
3P%
63.3%
FT%
32.5
RPG
9.0
APG
10.0
TO
-
Est. poss./game
66.7
Adj PPG
75.0
Adj Opp PPG
#302
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†’ 847 (#273) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 883 (#265) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 977 (#200) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -8.9 (#303) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -9.7 (#317) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.291 (#273) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -14.1 More โ†’ 0.164 (#303) AdjNet -14.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -14.3 More โ†’ 0.161 (#303) AdjNet -14.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.7 | AdjD 75.0 More โ†’ 0.321 (#302) AdjO 66.7 | AdjD 75.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.7 | AdjD 73.1 More โ†’ 0.379 (#291) AdjO 67.7 | AdjD 73.1
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†’ 0.292 (#291) 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†’ 0.303 (#286) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 155 | GP 28 More โ†’ 868 (#269) RD 155 | GP 28

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs Berry Vikings W 91 - 70
2014-11-17 vs Belmont Bruins L 62 - 87
2014-11-20 @ Vanderbilt Commodores L 62 - 72
2014-11-22 vs Transylvania Pioneers W 74 - 63
2014-11-24 @ Belmont Bruins L 77 - 82
2014-11-30 @ Colorado Buffaloes L 75 - 84
2014-12-03 @ Tennessee Tech Golden Eagles L 79 - 84
2014-12-06 vs Tennessee State Tigers W 77 - 68
2014-12-13 @ Austin Peay Governors W 68 - 59
2014-12-16 @ Texas Longhorns L 61 - 106
2014-12-19 @ Princeton Tigers L 55 - 77
2014-12-21 vs Austin Peay Governors W 69 - 63
2014-12-29 @ Chattanooga Mocs L 60 - 78
2015-01-03 @ Missouri Tigers L 60 - 72
2015-01-05 vs Rhodes Lynx W 90 - 53
2015-01-10 vs Northern Kentucky Norse W 80 - 61
2015-01-13 vs South Carolina Upstate Spartans W 60 - 58
2015-01-17 @ Kennesaw State Owls W 91 - 77
2015-01-22 vs Jacksonville Dolphins W 80 - 77
2015-01-24 vs North Florida Ospreys L 66 - 75
2015-01-29 @ Florida Gulf Coast Eagles L 62 - 78
2015-01-31 @ Stetson Hatters L 73 - 75
2015-02-07 @ Northern Kentucky Norse L 60 - 77
2015-02-12 vs Stetson Hatters W 87 - 85
2015-02-14 vs Florida Gulf Coast Eagles L 74 - 76
2015-02-19 @ North Florida Ospreys L 78 - 93
2015-02-21 @ Jacksonville Dolphins W 87 - 83
2015-02-25 @ South Carolina Upstate Spartans L 47 - 70
2015-02-28 vs Kennesaw State Owls W 94 - 75
2015-03-03 @ Northern Kentucky Norse W 76 - 73
2015-03-05 @ North Florida Ospreys L 57 - 71

2015 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%
Josh Williams Josh Williams G 28 31.4 17.4 4.8 2.0 1.4 0.2 2.2 1.5 21.9 4 26 0.2 0.2 57.1 33.3 77.3 -0.69 470.2 65.5
M. Smith M. Smith F 23 26.8 15.0 5.3 1.6 0.8 0.1 2.5 1.7 18.7 41 22 1.9 3.1 41.0 20.0 58.8 0.95 320.6 42.3
M. Smith M. Smith F 12 23.2 9.2 2.8 1.8 1.0 0.1 1.2 1.3 12.2 -5 11 -0.5 -0.8 12.5 22.2 87.5 0.92 281.8 18.8
Nathan Moran Nathan Moran G 23 21.1 7.9 1.8 2.7 0.5 0.0 2.0 1.1 9.7 -3 22 -0.1 -0.3 42.3 41.7 100.0 -1.39 333.1 61.5
J.C. Hampton J.C. Hampton G 26 26.0 7.6 2.7 3.3 0.9 0.1 1.5 1.2 11.9 -7 25 -0.3 -0.5 32.3 22.2 83.3 -0.27 294.3 35.5
Brett Wishon Brett Wishon F 26 24.1 7.4 3.5 2.2 0.5 0.3 1.4 1.2 11.4 -12 24 -0.5 -0.9 13.3 17.4 100.0 -0.79 312.5 20.0
Talbott Denny Talbott Denny F 28 22.9 5.8 4.9 1.1 0.6 0.1 1.3 0.5 10.6 -19 25 -0.8 -1.4 69.2 33.3 50.0 -0.67 425.4 73.1
Aaron Korn Aaron Korn G 28 14.4 3.0 2.5 0.6 0.2 0.0 0.7 0.5 5.2 -18 25 -0.7 -2.0 46.2 42.9 50.0 -1.85 302.6 57.7
Chad Lang Chad Lang C 2 10.5 2.5 2.0 0.0 0.5 0.5 0.0 2.5 3.0 -9 26 -0.3 -1.1 40.0 0 50.0 -1.61 42.5 40.0
Asa Duvall Asa Duvall G 26 7.9 1.9 0.5 0.3 0.1 0.0 0.3 0.3 2.2 7 23 0.3 1.9 28.6 20.0 0.0 -0.01 329.3 35.7
George Brammeier George Brammeier C 27 7.9 1.6 1.6 0.0 0.1 0.3 0.4 0.3 2.9 -66 25 -2.6 -15.5 37.5 0 100.0 -5.76 260.7 37.5
Chad Johnson Chad Johnson G 27 8.9 1.3 1.1 0.7 0.4 0.0 0.5 0.1 2.9 -5 26 -0.2 -1.0 0.0 0.0 75.0 -2.12 357.1 0.0
Charles Smith Charles Smith C 14 4.6 0.5 0.8 0.1 0.0 0.3 0.1 0.1 1.5 -17 13 -1.3 -17.3 100.0 0 0 -3.34 350.0 100.0
Dylan Greene Dylan Greene G 7 2.7 0.3 0.3 0.3 0.0 0.0 0.1 0.0 0.7 9 5 1.8 25.7 0 0 50.0 0.53 113.6 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