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UMass

Season: 2027 2026 2025 2024 2023 2022 2021 2020 2019 2018
Also known as: UMass Minutemen, UMass
Program History
Coach: Derek Kellogg

2014 Team Stats (23 games)

75.1
PPG
69.8
Opp
+5.3
Margin
45.8%
FG%
36.1%
3P%
69.6%
FT%
37.4
RPG
16.2
APG
13.1
TO
-
Est. poss./game
77.3
Adj PPG
67.8
Adj Opp PPG
#53
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 → 1109 (#86) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1263 (#27) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More → 1047 (#106) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +10.3 (#53) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +7.9 (#69) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.673 (#76) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.1 More → 0.851 (#56) AdjNet +15.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.2 More → 0.853 (#56) AdjNet +15.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.3 | AdjD 67.8 More → 0.704 (#53) AdjO 77.3 | AdjD 67.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.5 | AdjD 69.7 More → 0.585 (#84) AdjO 73.5 | 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 → 0.723 (#61) 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 → 0.701 (#66) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 33 More → 1185 (#57) RD 114 | GP 33

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-10 vs Boston College Eagles W 86 - 73
2013-11-12 vs LSU Tigers W 92 - 90
2013-11-17 vs Youngstown State Penguins W 85 - 69
2013-11-21 vs Nebraska Cornhuskers W 96 - 90
2013-11-22 @ New Mexico Lobos W 81 - 65
2013-11-24 @ Clemson Tigers W 62 - 56
2013-12-03 @ Eastern Michigan Eagles W 69 - 57
2013-12-07 vs BYU Cougars W 105 - 96
2013-12-14 vs Northern Illinois Huskies W 80 - 54
2013-12-18 @ Ohio Bobcats W 83 - 71
2013-12-21 @ Florida State Seminoles L 55 - 60
2013-12-28 vs Providence Friars W 69 - 67
2014-01-04 vs Miami (OH) RedHawks W 73 - 65
2014-01-08 vs Saint Joseph's Hawks W 66 - 62
2014-01-11 vs St. Bonaventure Bonnies W 73 - 68
2014-01-15 @ George Mason Patriots W 88 - 87
2014-01-18 @ Elon Phoenix W 84 - 74
2014-01-22 @ Richmond Spiders L 55 - 58
2014-01-26 vs Fordham Rams W 90 - 52
2014-01-29 @ St. Bonaventure Bonnies L 65 - 78
2014-02-01 @ Saint Joseph's Hawks L 68 - 73
2014-02-05 vs La Salle Explorers W 79 - 67
2014-02-09 @ Rhode Island Rams W 73 - 68
2014-02-12 vs George Mason Patriots L 80 - 91
2014-02-15 @ George Washington Revolutionaries W 67 - 61
2014-02-21 vs VCU Rams W 80 - 75
2014-02-26 vs Rhode Island Rams W 70 - 67
2014-03-01 @ Dayton Flyers L 79 - 86
2014-03-05 @ Duquesne Dukes W 78 - 74
2014-03-09 vs Saint Louis Billikens L 62 - 64
2014-03-13 vs Rhode Island Rams W 65 - 61
2014-03-14 @ George Washington Revolutionaries L 77 - 85
2014-03-21 vs Tennessee Volunteers L 67 - 86

2014 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%
Chaz Williams Chaz Williams G 31 35.4 16.1 2.6 7.1 1.6 0.2 3.4 10.1 14.1 179 31 5.8 7.1 42.0 39.8 76.4 7.41 65.7 49.5
Cady Lalanne Cady Lalanne C 31 28.6 11.5 7.8 0.2 0.5 2.1 1.8 6.5 13.8 104 31 3.4 5.1 53.2 16.7 67.0 1.92 72.7 53.5
Sampson Carter Sampson Carter F 31 27.8 10.1 5.0 1.2 0.4 0.4 1.8 6.5 8.7 42 31 1.4 2.1 39.6 33.3 72.5 -1.04 66.2 45.5
Trey Davis Trey Davis G 31 23.5 9.4 2.6 2.6 0.9 0.0 1.1 6.4 8.1 115 31 3.7 6.8 38.9 36.9 79.3 1.52 65.3 48.5
Derrick Gordon Derrick Gordon G 31 28.0 9.2 3.6 2.1 1.5 0.3 1.7 6.7 8.3 6 31 0.2 0.3 48.3 0.0 55.8 -3.51 61.7 48.3
Raphiael Putney Raphiael Putney F 31 24.6 9.1 5.4 1.4 0.6 1.2 1.7 6.5 9.6 76 31 2.5 4.3 46.0 35.8 77.8 0.1 65.3 53.2
Maxie Esho Maxie Esho F 30 21.2 9.1 5.1 0.4 1.0 0.8 1.5 5.4 9.5 93 30 3.1 6.4 57.1 0.0 57.5 0.07 70.0 57.1
Clyde Santee Clyde Santee F 15 2.8 1.7 0.5 0.1 0.1 0.1 0.2 1.0 1.3 12 12 1.0 13.3 60.0 44.4 60.0 -0.31 72.7 73.3
Demetrius Dyson Demetrius Dyson G 20 4.0 1.0 0.4 0.1 0.1 0.0 0.1 0.8 0.8 -10 19 -0.5 -5.4 26.7 33.3 60.0 -2.56 58.1 40.0
Tyler Bergantino Tyler Bergantino F 30 7.5 0.9 1.5 0.2 0.1 0.3 0.1 0.6 2.2 -20 29 -0.7 -3.9 55.6 0 25.0 -4.54 60.4 55.6
Seth Berger Seth Berger F 18 2.2 0.4 0.4 0.1 0.1 0.0 0.1 0.5 0.4 -17 15 -1.1 -19.5 33.3 0.0 0 -4.11 44.4 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