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Lipscomb Bisons

2011 Team Stats (5 games)

69.0
PPG
74.0
Opp
-5.0
Margin
42.7%
FG%
29.0%
3P%
66.0%
FT%
33.0
RPG
14.6
APG
14.8
TO
-
Est. poss./game
73.5
Adj PPG
71.5
Adj Opp PPG
#139
Scoring Rank

Model Outputs

2010-2011
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†’ 940 (#197) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1043 (#138) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +91 elo More โ†’ 1009 (#157) HCA +91 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ +1.8 (#141) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +1.8 (#146) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.630 (#103) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.6 More โ†’ 0.517 (#164) AdjNet +0.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.6 More โ†’ 0.517 (#163) AdjNet +0.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.5 | AdjD 71.5 More โ†’ 0.544 (#139) AdjO 73.5 | AdjD 71.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.0 | AdjD 69.7 More โ†’ 0.551 (#117) AdjO 72.0 | AdjD 69.7
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†’ 0.510 (#163) 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†’ 0.511 (#163) 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 26 More โ†’ 955 (#197) RD 162 | GP 26

2011 Schedule & Results

Date Vs/At Opponent Result Score
2010-11-12 @ North Carolina Tar Heels L 66 - 80
2010-11-15 vs Stillman Tigers W 103 - 78
2010-11-18 vs Austin Peay Governors W 104 - 101
2010-11-22 @ Baylor Bears L 60 - 72
2010-11-27 @ UT Martin Skyhawks W 90 - 71
2010-12-04 vs Mercer Bears W 77 - 65
2010-12-07 @ Austin Peay Governors W 73 - 70
2010-12-11 @ Tennessee Tech Golden Eagles W 98 - 94
2010-12-18 vs Kennesaw State Owls W 99 - 73
2010-12-21 @ Alabama Crimson Tide L 51 - 71
2010-12-30 @ Memphis Tigers L 70 - 88
2011-01-03 @ Stetson Hatters L 66 - 76
2011-01-05 @ Florida Gulf Coast Eagles W 75 - 61
2011-01-08 vs Jacksonville Dolphins L 56 - 60
2011-01-10 vs North Florida Ospreys W 80 - 76
2011-01-17 vs Campbell Fighting Camels W 92 - 81
2011-01-21 @ East Tennessee State Buccaneers L 67 - 68
2011-01-23 @ South Carolina Upstate Spartans W 76 - 55
2011-01-25 vs Belmont Bruins W 73 - 64
2011-01-28 vs Stetson Hatters W 82 - 62
2011-01-30 vs Florida Gulf Coast Eagles W 88 - 71
2011-02-03 @ North Florida Ospreys L 62 - 72
2011-02-17 vs South Carolina Upstate Spartans W 71 - 52
2011-02-19 vs East Tennessee State Buccaneers L 95 - 102
2011-02-24 @ Kennesaw State Owls W 82 - 67
2011-02-26 @ Mercer Bears L 67 - 68
2011-03-03 @ Mercer Bears L 63 - 73

2011 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%
Josh Slater Josh Slater G 15 31.6 16.9 5.7 4.7 3.5 0.3 2.8 6.9 21.3 56 24 2.3 3.4 42.3 25.0 69.1 1.68 99.1 46.6
Adnan Hodzic Adnan Hodzic F 15 31.3 15.2 7.3 1.1 0.2 0.0 2.0 6.3 15.6 82 24 3.4 4.8 46.8 50.0 64.5 3.42 105.9 47.3
Jordan Burgason Jordan Burgason G 15 26.6 12.0 1.9 2.0 0.7 0.1 1.6 5.2 10.0 47 24 2.0 3.3 42.3 39.7 44.4 1.84 109.8 58.3
Brandon Brown Brandon Brown F 15 22.5 7.8 4.8 0.7 0.6 0.5 1.6 2.9 9.9 39 24 1.6 3.2 45.5 10.0 68.2 -1.43 109.0 46.6
Brandon Barnes Brandon Barnes G 15 15.8 5.5 3.3 0.5 0.5 0.0 1.2 2.6 5.9 -21 24 -0.9 -2.3 35.9 0.0 61.9 -2.64 85.0 35.9
Jacob Arnett Jacob Arnett G 15 21.1 5.1 2.6 3.0 0.5 0.0 1.3 1.3 8.5 -9 24 -0.4 -0.9 50.0 66.7 100.0 -2.04 185.9 65.0
Robert Boyd Robert Boyd G 14 19.1 4.3 1.3 2.1 1.6 0.2 1.7 2.4 5.4 37 23 1.6 3.6 36.4 23.1 71.4 -0.42 83.1 40.9
Zach Brown Zach Brown G 6 3.8 2.8 0.5 0.3 0.2 0.0 0.8 0.3 2.7 -5 11 -0.5 -3.4 100.0 100.0 100.0 -0.88 226.1 150.0
Michael Teller Michael Teller F 15 11.4 2.5 1.3 0.5 0.3 0.1 0.4 1.6 2.5 0 24 0.0 0.0 20.8 23.8 100.0 -2.03 74.4 31.2
Justin Glenn Justin Glenn C 15 11.1 1.9 2.4 0.5 0.3 0.3 0.6 1.1 3.6 -79 24 -3.3 -14.1 37.5 0.0 100.0 -7.38 82.9 37.5
Milos Kleut Milos Kleut F 13 7.8 1.7 1.4 0.1 0.0 0.1 0.4 0.5 2.4 -15 21 -0.7 -4.8 83.3 0 0 -1.78 183.3 83.3
Brian Wright Brian Wright F 11 7.5 1.5 1.5 0.1 0.2 0.1 0.5 1.5 1.4 -23 18 -1.3 -9.8 5.9 0.0 0 -4.78 47.1 5.9
Brett Staal Brett Staal G 3 2.0 1.3 0.7 0.3 0.3 0.0 0.0 0.7 2.0 1 5 0.2 4.1 100.0 0 0 -0.47 100.0 100.0

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