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Rider Broncs

Also known as: Rider Broncs
Program History

2017 Team Stats (5 games)

77.8
PPG
80.0
Opp
-2.2
Margin
44.0%
FG%
30.9%
3P%
66.7%
FT%
43.8
RPG
15.4
APG
14.4
TO
-
Est. poss./game
72.1
Adj PPG
75.1
Adj Opp PPG
#211
Scoring Rank

Model Outputs

2016-2017
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†’ 1010 (#166) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1002 (#176) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1010 (#161) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -3.5 (#214) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -2.0 (#197) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.498 (#174) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.8 More โ†’ 0.339 (#222) AdjNet -5.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.9 More โ†’ 0.337 (#221) AdjNet -5.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.1 | AdjD 75.1 More โ†’ 0.432 (#211) AdjO 72.1 | AdjD 75.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.4 | AdjD 75.2 More โ†’ 0.483 (#181) AdjO 74.4 | AdjD 75.2
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†’ 0.452 (#194) 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†’ 0.462 (#194) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 144 | GP 33 More โ†’ 1012 (#163) RD 144 | GP 33

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 @ Hampton Pirates W 67 - 56
2016-11-16 @ Hartford Hawks W 84 - 68
2016-11-19 @ South Florida Bulls L 65 - 70
2016-11-23 @ Fordham Rams L 62 - 73
2016-11-26 @ Wagner Seahawks W 70 - 67
2016-12-01 vs Fairfield Stags L 67 - 76
2016-12-05 vs Siena Saints W 71 - 69
2016-12-10 @ Pacific Tigers W 73 - 66
2016-12-14 vs Kennesaw State Owls W 81 - 79
2016-12-16 vs Drexel Dragons W 90 - 82
2016-12-18 @ North Carolina A&T Aggies W 60 - 59
2016-12-22 @ Massachusetts Minutemen L 67 - 78
2016-12-28 @ NC State Wolfpack L 71 - 99
2016-12-31 @ Monmouth Hawks W 93 - 90
2017-01-06 @ Marist Red Foxes W 73 - 62
2017-01-07 vs Niagara Purple Eagles - Preview
2017-01-08 vs Niagara Purple Eagles W 89 - 78
2017-01-13 @ Manhattan Jaspers L 73 - 76
2017-01-15 vs Saint Peter's Peacocks L 65 - 71
2017-01-17 @ Siena Saints L 68 - 78
2017-01-21 vs Marist Red Foxes W 84 - 66
2017-01-23 @ Saint Peter's Peacocks L 51 - 56
2017-01-28 @ Niagara Purple Eagles L 67 - 80
2017-01-30 @ Canisius Golden Griffins W 72 - 66
2017-02-03 vs Iona Gaels L 76 - 95
2017-02-06 vs Monmouth Hawks L 69 - 74
2017-02-11 vs Quinnipiac Bobcats W 112 - 107
2017-02-13 @ Fairfield Stags L 67 - 69
2017-02-17 vs Canisius Golden Griffins L 77 - 85
2017-02-19 @ Iona Gaels W 103 - 85
2017-02-22 vs Manhattan Jaspers W 93 - 82
2017-02-26 @ Quinnipiac Bobcats W 99 - 82
2017-03-02 vs Manhattan Jaspers W 69 - 68
2017-03-04 @ Iona Gaels L 70 - 88

2017 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%
Jimmie Taylor Jimmie Taylor G 22 36.2 16.9 5.5 1.8 1.2 0.4 1.7 3.2 20.9 11 31 0.4 0.4 47.9 37.8 81.8 -0.18 230.5 57.7
Kahlil Thomas Kahlil Thomas F 22 30.9 14.8 9.2 1.3 1.0 1.0 2.0 3.5 21.9 18 31 0.6 0.8 50.0 40.0 55.3 -1.11 175.3 51.3
Xavier Lundy Xavier Lundy F 22 31.1 11.1 4.0 1.3 1.0 1.0 1.8 2.8 13.8 37 31 1.2 1.6 40.3 37.5 72.7 1.64 182.5 47.6
Norville Carey Norville Carey F 22 23.5 11.0 7.1 0.6 1.0 0.9 2.0 2.2 16.4 -22 31 -0.7 -1.3 42.9 0.0 58.3 -1.64 222.9 42.9
Stevie Jordan Stevie Jordan G 19 30.2 10.6 3.4 5.9 1.5 0.2 3.4 2.7 15.5 54 27 2.0 2.7 52.9 38.5 70.4 0.83 159.8 57.8
Anthony Durham Anthony Durham G 22 13.8 4.5 2.0 1.0 0.2 0.0 0.7 1.2 5.9 -52 30 -1.7 -5.7 40.7 40.0 62.5 -2.7 163.8 44.4
Dimencio Vaughn Dimencio Vaughn F 7 13.4 4.3 3.4 0.1 1.0 0.1 2.0 0.6 6.4 - - - - 50.0 0.0 100.0 - 337.8 50.0
Kealen Washington-Ives Kealen Washington-Ives G 22 20.0 4.2 2.0 3.2 0.4 0.0 1.4 1.2 7.1 -79 31 -2.5 -5.9 33.3 15.4 77.8 -4.69 150.2 37.0
Tyere Marshall Tyere Marshall C 20 11.9 2.8 3.2 0.3 0.5 0.5 0.7 0.9 5.7 8 29 0.3 0.9 22.2 0 0.0 0.03 148.3 22.2
Xzavier Malone-Key Xzavier Malone-Key G 4 5.0 0.0 0.2 0.0 0.0 0.0 0.2 0.8 -0.8 -17 23 -0.7 -7.0 0.0 0.0 0 -2.14 0.0 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