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Pacific

Also known as: Pacific Tigers, Pacific
Program History

2014 Team Stats (2 games)

68.5
PPG
78.5
Opp
-10.0
Margin
37.8%
FG%
35.0%
3P%
76.5%
FT%
33.0
RPG
10.0
APG
10.5
TO
-
Est. poss./game
72.5
Adj PPG
71.1
Adj Opp PPG
#144
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†’ 984 (#191) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1047 (#132) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1007 (#161) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ +1.8 (#141) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +0.4 (#162) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.441 (#203) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.7 More โ†’ 0.577 (#138) AdjNet +2.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.7 More โ†’ 0.578 (#138) AdjNet +2.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.5 | AdjD 71.1 More โ†’ 0.532 (#144) AdjO 72.5 | AdjD 71.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.1 | AdjD 70.4 More โ†’ 0.493 (#186) AdjO 70.1 | AdjD 70.4
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 (#154) 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†’ 0.524 (#158) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 33 More โ†’ 1031 (#150) RD 96 | GP 33

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 @ Nevada Wolf Pack W 80 - 78
2013-11-12 vs UC Irvine Anteaters W 84 - 79
2013-11-17 vs Western Illinois Leathernecks W 66 - 52
2013-11-23 vs Fresno State Bulldogs W 86 - 77
2013-11-29 @ Oregon Ducks L 62 - 85
2013-11-30 vs Cal Poly Mustangs W 73 - 71
2013-12-01 @ North Dakota Fighting Hawks W 93 - 76
2013-12-07 @ Utah State Aggies W 78 - 68
2013-12-14 vs Menlo Oaks W 84 - 73
2013-12-20 @ Princeton Tigers L 58 - 83
2013-12-21 vs Bradley Braves W 71 - 55
2013-12-30 vs Saint Mary's Gaels L 80 - 88
2014-01-02 @ Portland Pilots L 64 - 72
2014-01-04 @ Gonzaga Bulldogs L 64 - 86
2014-01-09 vs San Francisco Dons L 72 - 81
2014-01-11 vs Santa Clara Broncos W 80 - 68
2014-01-18 @ Saint Mary's Gaels L 73 - 79
2014-01-23 vs Loyola Marymount Lions L 81 - 92
2014-01-25 vs Pepperdine Waves W 76 - 66
2014-01-30 @ BYU Cougars L 78 - 88
2014-02-01 @ San Diego Toreros W 84 - 67
2014-02-06 @ Pepperdine Waves L 69 - 80
2014-02-08 @ Loyola Marymount Lions W 82 - 72
2014-02-13 vs BYU Cougars W 89 - 82
2014-02-15 vs San Diego Toreros L 55 - 70
2014-02-20 @ Santa Clara Broncos L 50 - 70
2014-02-22 @ San Francisco Dons L 59 - 64
2014-02-27 vs Gonzaga Bulldogs L 53 - 70
2014-03-01 vs Portland Pilots W 68 - 65
2014-03-06 vs Santa Clara Broncos L 64 - 81
2014-03-19 @ Grand Canyon Lopes W 69 - 67
2014-03-22 vs Texas A&M-Corpus Christi Islanders W 89 - 60
2014-03-26 vs San Diego Toreros W 75 - 60
2014-04-01 @ Murray State Racers L 75 - 98

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%
Tony Gill Tony Gill F 27 26.2 11.6 6.0 1.1 0.8 0.3 1.7 1.2 16.9 -64 28 -2.3 -3.8 50.0 45.5 66.7 1.34 418.5 57.8
Andrew Bock Andrew Bock G 27 27.4 11.4 2.5 2.7 0.4 0.0 1.7 0.9 14.4 -87 28 -3.1 -4.7 29.2 16.7 90.9 0.74 457.2 33.3
Sama Taku Sama Taku G 27 28.4 11.3 3.8 2.3 0.6 0.0 1.6 1.9 14.6 -64 28 -2.3 -3.5 33.3 15.4 78.6 1.39 266.8 35.3
Trevin Harris Trevin Harris F 22 22.3 8.5 3.5 2.0 0.6 0.0 0.7 1.0 13.0 -14 23 -0.6 -1.2 50.0 30.8 80.0 1.05 356.1 59.1
Ross Rivera Ross Rivera F 27 19.5 8.0 2.3 0.7 0.4 0.3 1.1 1.3 9.3 -61 28 -2.2 -5.0 34.3 25.0 80.0 -1.07 274.1 37.1
T.J. Wallace T.J. Wallace G 25 19.6 6.9 2.3 1.2 0.9 0.0 1.4 1.4 8.4 -52 26 -2.0 -4.2 36.1 38.9 66.7 -0.56 201.9 45.8
Khalil Kelley Khalil Kelley F 27 19.7 5.4 4.3 0.6 0.2 0.4 1.5 0.7 8.7 -129 28 -4.6 -9.4 44.4 0 61.1 -3.79 279.7 44.4
Aaron Short Aaron Short F 27 17.6 4.6 3.4 1.3 0.7 0.1 1.0 0.6 8.4 -92 27 -3.4 -8.3 50.0 57.1 100.0 -3.69 367.3 62.5
David Taylor David Taylor G 20 10.2 4.0 0.8 0.7 0.6 0.0 0.9 0.8 4.2 11 22 0.5 2.2 53.3 37.5 100.0 0.24 248.7 63.3
Tim Thomas Tim Thomas C 27 9.5 3.0 2.1 0.3 0.1 0.2 0.6 0.3 4.8 -15 27 -0.6 -2.6 22.2 0 66.7 -0.8 387.6 22.2
Gabriel Aguirre Gabriel Aguirre F 21 9.2 2.5 1.7 0.3 0.2 0.0 0.5 0.1 4.1 48 23 2.1 9.3 0.0 0 60.0 3.7 619.0 0.0
Spencer Llewellyn Spencer Llewellyn G 6 2.7 0.5 0.2 0.0 0.0 0.0 0.3 0.7 -0.3 - - - - 25.0 0.0 100.0 - 33.8 25.0
Thomas Peters Thomas Peters F 4 1.2 0.5 0.2 0.2 0.0 0.0 0.0 0.2 0.8 - - - - 0.0 0 0 - 100.0 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