๐Ÿปโฌ‡๏ธ๐Ÿ€

Pacific

Also known as: Pacific Tigers, Pacific
Program History

2015 Team Stats (3 games)

71.7
PPG
77.7
Opp
-6.0
Margin
45.1%
FG%
37.3%
3P%
58.7%
FT%
35.7
RPG
13.0
APG
14.0
TO
-
Est. poss./game
62.8
Adj PPG
66.1
Adj Opp PPG
#221
Scoring Rank

Model Outputs

2014-2015
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†’ 864 (#265) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 888 (#262) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 911 (#293) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -3.0 (#213) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -4.4 (#245) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.244 (#292) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.0 More โ†’ 0.360 (#215) AdjNet -5.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.0 More โ†’ 0.361 (#214) AdjNet -5.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.8 | AdjD 66.1 More โ†’ 0.426 (#221) AdjO 62.8 | AdjD 66.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.1 | AdjD 67.0 More โ†’ 0.390 (#283) AdjO 62.1 | AdjD 67.0
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†’ 0.360 (#253) 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†’ 0.353 (#260) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 155 | GP 28 More โ†’ 875 (#263) RD 155 | GP 28

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 @ Western Illinois Leathernecks W 73 - 71
2014-11-16 @ UC Irvine Anteaters L 50 - 68
2014-11-20 vs Pacific Union PACIFIC UNION W 81 - 56
2014-11-23 vs Washington Huskies L 69 - 76
2014-11-26 @ Alaska Anchorage Seawolves W 71 - 62
2014-11-28 @ Colorado State Rams L 64 - 75
2014-11-29 @ Mercer Bears W 55 - 48
2014-12-03 vs Cal State East Bay Pioneers W 80 - 51
2014-12-06 @ Idaho State Bengals W 68 - 62
2014-12-14 vs Western Michigan Broncos L 72 - 80
2014-12-18 vs Nevada Wolf Pack W 69 - 65
2014-12-20 vs Fresno State Bulldogs W 71 - 68
2014-12-27 vs San Francisco Dons L 71 - 77
2014-12-29 vs Santa Clara Broncos L 40 - 57
2015-01-01 @ Loyola Marymount Lions W 77 - 63
2015-01-03 @ Pepperdine Waves L 61 - 71
2015-01-10 vs Saint Mary's Gaels L 47 - 54
2015-01-15 vs BYU Cougars L 80 - 93
2015-01-17 vs San Diego Toreros W 59 - 57
2015-01-22 @ Portland Pilots L 69 - 72
2015-01-24 @ Gonzaga Bulldogs L 60 - 91
2015-01-29 vs Pepperdine Waves L 43 - 50
2015-01-31 vs Loyola Marymount Lions L 71 - 76
2015-02-07 @ Saint Mary's Gaels L 58 - 73
2015-02-12 @ San Diego Toreros L 48 - 68
2015-02-14 @ BYU Cougars L 59 - 84
2015-02-19 vs Gonzaga Bulldogs L 74 - 86
2015-02-21 vs Portland Pilots W 79 - 77
2015-02-26 @ Santa Clara Broncos W 64 - 57
2015-02-28 @ San Francisco Dons L 55 - 65
2015-03-06 @ San Francisco Dons L 58 - 62

2015 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%
T.J. Wallace T.J. Wallace G 26 31.7 13.6 5.6 2.7 0.8 0.1 2.7 2.3 17.7 -88 25 -3.5 -5.0 48.3 38.1 85.7 -1.34 267.5 55.0
Dulani Robinson Dulani Robinson G 28 24.9 9.0 2.7 2.5 0.9 0.1 1.5 1.9 11.9 3 25 0.1 0.2 30.8 36.0 100.0 0.63 235.3 39.4
Eric Thompson Eric Thompson F 28 23.9 8.5 5.8 0.9 0.4 0.8 1.4 1.4 13.6 -62 25 -2.5 -4.6 60.5 0 75.8 -1.23 225.6 60.5
David Taylor David Taylor G 28 24.9 8.0 1.8 1.4 0.4 0.0 1.3 1.5 8.8 -70 25 -2.8 -5.1 40.5 41.4 77.8 0.9 243.7 54.8
Gabriel Aguirre Gabriel Aguirre F 21 25.5 7.8 4.1 0.9 0.1 0.2 1.6 1.8 9.8 -74 19 -3.9 -6.9 40.5 0 41.7 -3.06 193.9 40.5
Ray Bowles Ray Bowles G 28 25.7 6.9 3.9 1.7 1.0 0.0 1.4 1.4 10.8 -101 25 -4.0 -6.9 39.5 22.2 40.0 -2.97 227.6 42.1
Alec Kobre Alec Kobre G 28 16.7 5.8 0.9 0.4 0.2 0.0 0.5 1.0 5.9 62 25 2.5 6.0 44.4 40.9 0 5.5 300.0 61.1
Jacob Lampkin Jacob Lampkin F 28 19.1 4.2 4.8 0.8 0.1 0.4 1.3 0.5 8.5 4 25 0.2 0.4 53.3 0 50.0 -0.12 315.9 53.3
Sami Eleraky Sami Eleraky C 20 17.3 3.7 4.2 0.5 0.1 1.0 1.2 0.2 8.0 -45 20 -2.2 -5.6 80.0 0 0.0 -3.01 484.3 80.0
D.J. Ursery D.J. Ursery G 8 7.5 2.6 1.2 0.2 0.1 0.0 0.8 0.4 3.1 -8 10 -0.8 -5.8 66.7 100.0 0 -2.14 350.0 83.3
Ilias Theodorou Ilias Theodorou F 11 5.9 1.7 0.8 0.1 0.1 0.0 0.3 1.0 1.5 2 7 0.3 1.8 27.3 20.0 40.0 -1.53 72.0 31.8
Aaron Hendricks Aaron Hendricks G 6 3.7 1.5 0.5 0.2 0.2 0.0 0.2 1.2 1.0 - - - - 28.6 28.6 0 -1.36 64.3 42.9
Thomas Peters Thomas Peters F 5 2.6 1.2 0.2 0.0 0.0 0.0 0.2 0.4 0.8 - - - - 50.0 0 0.0 -0.79 79.8 50.0
Kaleb Warner Kaleb Warner F 6 4.2 0.7 0.8 1.2 0.0 0.0 0.0 0.7 2.0 - - - - 25.0 0.0 0 -0.03 50.0 25.0

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