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Elon Phoenix

Also known as: Elon Phoenix
Program History

2018 Team Stats (5 games)

63.4
PPG
54.2
Opp
+9.2
Margin
44.6%
FG%
35.8%
3P%
54.9%
FT%
38.6
RPG
14.4
APG
16.6
TO
-
Est. poss./game
70.4
Adj PPG
57.2
Adj Opp PPG
#56
Scoring Rank

Model Outputs

2017-2018
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†’ 1405 (#25) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1239 (#46) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 1172 (#17) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ +13.5 (#57) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More โ†’ +13.7 (#60) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.907 (#19) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +20.1 More โ†’ 0.910 (#57) AdjNet +20.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +20.2 More โ†’ 0.914 (#57) AdjNet +20.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.4 | AdjD 57.2 More โ†’ 0.769 (#56) AdjO 70.4 | AdjD 57.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.9 | AdjD 55.9 More โ†’ 0.749 (#38) AdjO 67.9 | AdjD 55.9
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†’ 0.842 (#44) 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†’ 0.839 (#41) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 32 More โ†’ 1262 (#33) RD 109 | GP 32

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Winthrop Eagles W 98 - 37
2017-11-13 @ North Carolina A&T Aggies W 90 - 59
2017-11-17 vs Hampton Lady Pirates W 82 - 59
2017-11-22 @ UCF Knights W 71 - 57
2017-11-24 @ Alabama Crimson Tide W 60 - 55
2017-11-25 vs Iowa Hawkeyes L 61 - 74
2017-11-27 vs Coker Cobras W 106 - 54
2017-12-02 @ Wake Forest Demon Deacons L 51 - 53
2017-12-06 @ Davidson Wildcats W 75 - 58
2017-12-16 @ NC State Wolfpack L 57 - 70
2017-12-19 vs North Carolina Central Eagles W 78 - 50
2017-12-29 vs UNC Wilmington Seahawks W 75 - 67
2018-01-05 @ Delaware Blue Hens L 66 - 80
2018-01-07 vs Northeastern Huskies W 78 - 71
2018-01-12 @ James Madison Dukes L 67 - 70
2018-01-14 @ William & Mary Tribe L 75 - 81
2018-01-19 vs Towson Tigers W 84 - 61
2018-01-21 vs Delaware Blue Hens W 64 - 51
2018-01-26 @ Drexel Dragons L 56 - 58
2018-01-28 @ Towson Tigers W 71 - 45
2018-02-02 @ Charleston Cougars W 77 - 55
2018-02-04 vs James Madison Dukes W 50 - 43
2018-02-09 vs Drexel Dragons W 70 - 58
2018-02-11 vs Charleston Cougars W 97 - 44
2018-02-16 @ Hofstra Pride W 72 - 65
2018-02-18 @ Northeastern Huskies W 65 - 46
2018-02-25 vs Hofstra Pride W 80 - 55
2018-03-01 vs William & Mary Tribe W 82 - 61
2018-03-03 @ UNC Wilmington Seahawks W 58 - 49
2018-03-08 vs William & Mary Tribe W 67 - 50
2018-03-09 @ James Madison Dukes W 76 - 53
2018-03-10 @ Drexel Dragons W 57 - 45
2018-03-16 @ NC State Wolfpack L 35 - 62

2018 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%
S. Burnett S. Burnett G 5 32.2 11.4 6.4 7.4 1.6 0.2 3.6 9.6 13.8 374 29 12.9 16.8 47.9 33.3 66.7 6.87 54.8 53.1
M. Garner M. Garner F 5 25.0 10.0 4.0 0.6 0.8 0.2 1.0 8.2 6.4 211 30 7.0 15.0 46.3 43.5 100.0 0.32 59.7 58.5
M. Johnson M. Johnson C 5 24.6 9.4 5.0 0.2 0.2 1.6 2.0 10.2 4.2 297 30 9.9 16.7 43.1 0 37.5 4.09 43.1 43.1
R. White R. White C 5 15.6 9.4 5.0 0.4 1.0 1.0 1.8 6.8 8.2 177 29 6.1 14.7 50.0 0 81.2 4.12 57.3 50.0
S. Munford S. Munford G 5 26.0 6.8 3.6 2.0 1.2 0.2 2.2 4.6 7.0 222 30 7.4 12.3 47.8 0.0 50.0 -1.73 50.7 47.8
L. Mercer L. Mercer G 5 26.2 5.8 1.2 2.0 0.4 0.0 0.8 4.6 4.0 290 30 9.7 16.5 43.5 50.0 50.0 1.64 60.7 60.9
J. Graves J. Graves G 5 21.4 4.8 4.0 1.4 1.4 0.2 2.0 5.0 4.8 185 30 6.2 11.2 24.0 16.7 45.5 1.27 34.6 28.0
J. Powell J. Powell F 5 15.0 3.2 3.0 0.4 0.2 0.0 1.2 2.4 3.2 33 30 1.1 3.5 50.0 42.9 25.0 -6.72 58.1 62.5
E. Maupin E. Maupin F 3 5.3 2.3 1.7 0.0 0.0 0.0 0.3 1.3 2.3 19 14 1.4 8.7 75.0 100.0 0.0 -1.77 71.7 87.5
A. Popovic A. Popovic F 5 7.0 0.8 1.0 0.0 0.4 0.2 1.2 0.6 0.6 89 29 3.1 10.4 33.3 0.0 100.0 -1.9 51.5 33.3
A. Colon A. Colon F 3 6.3 0.7 1.3 0.0 0.0 0.0 0.3 1.0 0.7 42 24 1.8 10.3 33.3 0.0 0 -1.48 33.3 33.3

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