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Lipscomb Bisons

2014 Team Stats (4 games)

69.8
PPG
74.5
Opp
-4.8
Margin
40.4%
FG%
29.7%
3P%
61.6%
FT%
34.5
RPG
10.3
APG
12.0
TO
-
Est. poss./game
71.2
Adj PPG
77.1
Adj Opp PPG
#269
Scoring Rank

Model Outputs

2013-2014
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†’ 955 (#212) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 957 (#206) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1028 (#133) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -6.5 (#270) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -3.9 (#229) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.387 (#229) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.1 More โ†’ 0.238 (#272) AdjNet -10.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.2 More โ†’ 0.235 (#272) AdjNet -10.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.2 | AdjD 77.1 More โ†’ 0.369 (#269) AdjO 71.2 | AdjD 77.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.2 | AdjD 74.1 More โ†’ 0.455 (#216) AdjO 72.2 | AdjD 74.1
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†’ 0.384 (#240) 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†’ 0.401 (#235) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 162 | GP 29 More โ†’ 939 (#222) RD 162 | GP 29

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs Belmont Bruins L 83 - 87
2013-11-11 vs Oakland City Mighty Oaks W 88 - 78
2013-11-15 @ Vanderbilt Commodores L 69 - 80
2013-11-18 @ Tennessee State Tigers W 75 - 70
2013-11-20 @ Belmont Bruins L 64 - 94
2013-11-25 @ UT Martin Skyhawks W 95 - 84
2013-11-30 @ Georgetown Hoyas L 49 - 70
2013-12-05 vs Tennessee Tech Golden Eagles W 87 - 79
2013-12-07 @ Murray State Racers L 69 - 73
2013-12-14 @ Georgia Bulldogs L 75 - 84
2013-12-19 @ Austin Peay Governors W 88 - 83
2013-12-30 @ Stetson Hatters L 63 - 65
2014-01-01 @ Florida Gulf Coast Eagles L 62 - 75
2014-01-04 vs North Florida Ospreys L 73 - 78
2014-01-06 vs Jacksonville Dolphins L 85 - 88
2014-01-09 @ East Tennessee State Buccaneers W 82 - 80
2014-01-11 @ South Carolina Upstate Spartans L 70 - 84
2014-01-16 vs Kennesaw State Owls W 88 - 83
2014-01-18 vs Mercer Bears L 66 - 87
2014-01-24 @ Northern Kentucky Norse W 75 - 74
2014-01-30 @ Jacksonville Dolphins W 88 - 76
2014-02-01 @ North Florida Ospreys W 60 - 58
2014-02-06 vs South Carolina Upstate Spartans W 77 - 75
2014-02-08 vs East Tennessee State Buccaneers L 88 - 96
2014-02-13 @ Mercer Bears - Postponed
2014-02-14 @ Mercer Bears L 48 - 79
2014-02-15 @ Kennesaw State Owls - Postponed
2014-02-16 @ Kennesaw State Owls W 76 - 73
2014-02-21 vs Northern Kentucky Norse W 70 - 66
2014-02-27 vs Florida Gulf Coast Eagles W 92 - 71
2014-03-01 vs Stetson Hatters W 83 - 76
2014-03-04 @ East Tennessee State Buccaneers L 88 - 89

2014 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%
M. Smith M. Smith F 23 32.0 15.3 3.8 2.4 0.9 0.3 1.7 2.4 18.5 -1 23 0.0 -0.1 35.7 25.0 80.8 1.63 261.0 42.9
J.C. Hampton J.C. Hampton G 24 30.8 14.8 2.9 2.8 1.0 0.1 2.5 2.2 16.7 1 24 0.0 0.1 38.9 34.2 73.3 2.25 293.7 50.9
Josh Williams Josh Williams G 23 25.7 13.4 5.2 1.3 1.1 0.3 1.3 2.1 17.9 3 23 0.1 0.2 44.9 31.8 78.6 -0.42 279.2 52.0
M. Smith M. Smith F 24 25.6 13.2 4.8 1.5 0.6 0.2 2.1 2.3 15.8 -49 24 -2.0 -3.4 54.5 50.0 62.3 -1.64 201.7 57.3
Khion Sankey Khion Sankey G 21 25.8 6.9 5.7 2.3 1.0 0.6 1.0 1.3 14.1 11 22 0.5 0.8 35.7 33.3 50.0 0.64 230.0 44.6
Carter Sanderson Carter Sanderson G 21 14.4 5.6 1.4 0.9 0.4 0.0 1.1 0.3 6.9 21 20 1.1 3.1 42.9 50.0 0.0 1.37 748.7 50.0
Talbott Denny Talbott Denny F 23 25.3 5.0 4.5 1.0 0.7 0.0 1.0 0.9 9.3 -72 23 -3.1 -5.2 23.8 16.7 30.8 -3.75 213.3 26.2
J.J. Butler J.J. Butler G 24 13.8 2.2 1.0 1.2 0.5 0.1 1.0 0.3 3.7 -125 24 -5.2 -16.8 62.5 50.0 25.0 -7.67 276.6 75.0
Charles Smith Charles Smith C 5 9.6 2.2 3.0 1.0 0.2 1.2 0.6 0.0 7.0 - - - - 0 0 0 - 0 0
Chad Johnson Chad Johnson G 23 8.6 1.2 1.4 0.7 0.3 0.0 0.5 0.3 2.9 -32 22 -1.5 -8.2 42.9 42.9 0 -3.89 200.0 64.3
Cam Miller Cam Miller G 14 6.1 0.8 0.6 0.5 0.1 0.2 0.2 0.1 1.8 -13 12 -1.1 -12.5 0.0 0.0 50.0 -2.73 191.0 0.0
Dylan Greene Dylan Greene G 15 2.2 0.1 0.4 0.1 0.0 0.0 0.2 0.1 0.4 -1 12 -0.1 -1.6 0.0 0.0 0 -0.94 100.0 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