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Weber State

Also known as: Weber State Wildcats, Weber State
Program History

2014 Team Stats (5 games)

72.0
PPG
66.2
Opp
+5.8
Margin
44.4%
FG%
37.9%
3P%
77.6%
FT%
32.4
RPG
12.4
APG
8.8
TO
-
Est. poss./game
67.9
Adj PPG
67.9
Adj Opp PPG
#169
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†’ 1103 (#93) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1004 (#165) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1052 (#98) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -0.3 (#175) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -0.9 (#185) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.633 (#95) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.7 More โ†’ 0.479 (#172) AdjNet -0.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.7 More โ†’ 0.479 (#172) AdjNet -0.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.9 | AdjD 67.9 More โ†’ 0.501 (#169) AdjO 67.9 | AdjD 67.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.1 | AdjD 66.7 More โ†’ 0.555 (#109) AdjO 69.1 | AdjD 66.7
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†’ 0.532 (#153) 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†’ 0.543 (#146) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 29 More โ†’ 1024 (#153) RD 111 | GP 29

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 @ BYU Cougars L 72 - 81
2013-11-16 @ Colorado State Rams L 67 - 88
2013-11-26 vs Utah State Aggies L 71 - 77
2013-11-30 vs San Josรฉ State Spartans W 72 - 55
2013-12-07 @ UT Arlington Mavericks - Postponed
2013-12-11 @ Utah Valley Wolverines L 59 - 62
2013-12-17 vs Saint Katherine SAINT KATHERINE W 107 - 36
2013-12-22 @ UCLA Bruins L 60 - 83
2013-12-28 vs Northern New Mexico Eagles W 75 - 49
2014-01-02 vs Eastern Washington Eagles W 74 - 67
2014-01-04 vs Portland State Vikings W 79 - 62
2014-01-09 @ Northern Colorado Bears L 51 - 70
2014-01-11 @ North Dakota Fighting Hawks W 72 - 60
2014-01-18 vs Southern Utah Thunderbirds W 65 - 59
2014-01-20 vs Idaho State Bengals W 65 - 59
2014-01-23 vs Montana State Bobcats W 86 - 57
2014-01-25 vs Montana Grizzlies W 68 - 63
2014-01-30 @ Northern Arizona Lumberjacks W 76 - 67
2014-02-01 @ Sacramento State Hornets L 75 - 78
2014-02-06 vs North Dakota Fighting Hawks W 84 - 72
2014-02-08 vs Northern Colorado Bears W 79 - 65
2014-02-13 @ Southern Utah Thunderbirds W 75 - 55
2014-02-17 @ Idaho State Bengals L 75 - 78
2014-02-20 @ Montana Grizzlies L 57 - 68
2014-02-22 @ Montana State Bobcats W 86 - 68
2014-02-27 vs Sacramento State Hornets W 79 - 67
2014-03-01 vs Northern Arizona Lumberjacks L 71 - 73
2014-03-06 @ Portland State Vikings L 59 - 66
2014-03-08 @ Eastern Washington Eagles W 82 - 78
2014-03-14 vs Northern Colorado Bears W 66 - 63
2014-03-15 vs North Dakota Fighting Hawks W 88 - 67
2014-03-21 @ Arizona Wildcats L 59 - 68

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%
Davion Berry Davion Berry G 25 33.5 19.1 4.0 3.9 0.9 0.2 2.9 5.3 19.9 73 25 2.9 3.7 44.4 41.3 85.5 3.47 148.8 54.1
Kyle Tresnak Kyle Tresnak C 25 27.8 11.5 4.5 0.8 0.6 1.8 1.4 3.0 14.8 53 25 2.1 3.3 54.1 0 62.5 0.97 170.3 54.1
Jeremy Senglin Jeremy Senglin G 25 29.6 10.2 2.2 1.9 0.7 0.2 1.5 2.5 11.1 46 25 1.8 2.6 33.3 36.6 80.8 0.07 170.6 45.2
Joel Bolomboy Joel Bolomboy F 25 29.7 8.7 11.0 0.5 0.5 0.8 1.6 2.2 17.7 6 25 0.2 0.3 43.6 0 67.3 -1.7 141.7 43.6
Richaud Gittens Richaud Gittens G 25 23.2 7.2 2.7 2.2 0.6 0.2 1.9 1.8 9.3 -68 25 -2.7 -5.3 50.0 60.0 61.9 -4.64 163.8 56.5
Jordan Richardson Jordan Richardson G 25 29.1 7.0 2.1 2.4 0.5 0.1 1.4 2.1 8.5 42 25 1.7 2.5 32.7 29.8 75.0 0.02 151.9 46.2
Kyndahl Hill Kyndahl Hill F 25 18.6 4.4 3.4 0.4 0.2 0.5 1.0 1.2 6.9 -6 25 -0.2 -0.6 55.2 28.6 69.2 -0.71 158.4 58.6
Royce Williams Royce Williams G 20 8.3 2.4 0.8 0.6 0.1 0.1 0.4 0.7 2.9 -35 20 -1.8 -9.2 42.9 60.0 0 -4.13 171.4 64.3
Byron Fulton Byron Fulton F 16 4.7 1.3 0.6 0.1 0.0 0.1 0.4 0.2 1.5 -3 17 -0.2 -1.6 100.0 100.0 0 -2.07 350.0 116.7
Josh Fuller Josh Fuller F 8 2.6 1.0 0.6 0.0 0.0 0.0 0.2 0.1 1.2 -16 7 -2.3 -30.6 0.0 0.0 0 -2.63 400.0 0.0
James Hajek James Hajek C 8 3.1 0.0 0.6 0.0 0.1 0.2 0.0 0.1 0.9 -7 5 -1.4 -37.1 0.0 0 0 -1.98 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