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Pacific

Also known as: Pacific Tigers, Pacific
Program History

2018 Team Stats (3 games)

58.0
PPG
85.3
Opp
-27.3
Margin
35.0%
FG%
26.8%
3P%
63.8%
FT%
34.7
RPG
8.3
APG
12.3
TO
-
Est. poss./game
70.1
Adj PPG
70.8
Adj Opp PPG
#177
Scoring Rank

Model Outputs

2017-2018
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†’ 938 (#210) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 953 (#206) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 958 (#236) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -0.5 (#178) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -0.9 (#177) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.406 (#224) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.0 More โ†’ 0.500 (#168) AdjNet -0.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.0 More โ†’ 0.499 (#167) AdjNet -0.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.1 | AdjD 70.8 More โ†’ 0.484 (#177) AdjO 70.1 | AdjD 70.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.1 | AdjD 70.3 More โ†’ 0.473 (#197) AdjO 69.1 | AdjD 70.3
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†’ 0.453 (#193) 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†’ 0.451 (#198) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 150 | GP 31 More โ†’ 951 (#207) RD 150 | GP 31

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-12 @ Stanford Cardinal L 80 - 89
2017-11-15 vs UC Davis Aggies L 58 - 62
2017-11-18 vs Nevada Wolf Pack L 74 - 89
2017-11-21 @ Air Force Falcons W 83 - 71
2017-11-24 vs Arkansas-Pine Bluff Golden Lions W 78 - 69
2017-11-25 vs Texas State Bobcats L 78 - 85
2017-11-26 vs Canisius Golden Griffins W 80 - 58
2017-11-30 @ UC Riverside Highlanders W 57 - 55
2017-12-03 vs Arkansas Fort Smith Lions W 105 - 68
2017-12-06 @ UC Davis Aggies L 67 - 71
2017-12-09 @ Wyoming Cowboys L 72 - 86
2017-12-16 vs UNLV Rebels L 76 - 81
2017-12-22 @ Arizona State Sun Devils L 65 - 104
2017-12-28 @ Gonzaga Bulldogs L 48 - 81
2017-12-30 vs Loyola Marymount Lions W 88 - 82
2018-01-04 @ Saint Mary's Gaels L 56 - 74
2018-01-06 vs BYU Cougars W 67 - 66
2018-01-11 vs San Diego Toreros W 74 - 70
2018-01-13 @ Portland Pilots W 66 - 54
2018-01-18 vs Pepperdine Waves W 92 - 78
2018-01-20 vs Saint Mary's Gaels L 69 - 72
2018-01-25 @ San Francisco Dons L 67 - 69
2018-01-27 @ BYU Cougars L 65 - 80
2018-02-01 @ Santa Clara Broncos W 63 - 45
2018-02-03 @ Pepperdine Waves W 81 - 72
2018-02-08 vs Gonzaga Bulldogs L 61 - 71
2018-02-10 vs Portland Pilots W 60 - 58
2018-02-15 @ San Diego Toreros W 67 - 55
2018-02-17 vs Santa Clara Broncos L 68 - 72
2018-02-22 vs San Francisco Dons L 74 - 84
2018-02-24 @ Loyola Marymount Lions L 71 - 74
2018-03-03 @ San Francisco Dons L 70 - 71

2018 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%
Roberto Gallinat Roberto Gallinat G 27 31.7 14.0 2.9 1.2 0.7 0.2 1.5 2.0 15.6 -18 15 -1.2 -1.6 39.6 20.8 63.6 0.19 302.3 44.3
Miles Reynolds Miles Reynolds G 3 29.3 11.0 1.7 2.3 0.3 0.0 1.7 9.7 4.0 -13 15 -0.9 -1.2 34.5 40.0 84.6 0.95 47.5 37.9
Jahlil Tripp Jahlil Tripp G 27 34.6 10.0 7.7 4.4 1.4 0.2 2.9 2.3 18.6 -15 15 -1.0 -1.2 36.5 33.3 62.5 1.84 193.5 39.7
Anthony Townes Anthony Townes F 27 21.7 8.4 4.0 0.4 1.0 0.6 1.2 1.4 11.9 -50 15 -3.3 -7.0 55.3 0 50.0 -1.66 293.2 55.3
Kendall Small Kendall Small G 19 27.2 8.3 2.3 2.7 1.7 0.1 2.1 1.3 11.8 -63 8 -7.9 -12.6 37.5 0 45.5 -2.71 272.2 37.5
Jack Williams Jack Williams F 27 30.2 8.0 6.0 0.9 0.3 0.3 1.1 1.6 12.8 -52 15 -3.5 -4.9 30.2 23.8 45.5 -1.31 226.8 36.0
Lafayette Dorsey Lafayette Dorsey G 20 15.2 6.5 2.4 0.5 0.6 0.1 1.1 1.4 7.3 -26 12 -2.2 -5.9 44.8 14.3 81.8 -2.17 190.6 46.6
Namdi Okonkwo Namdi Okonkwo C 27 18.9 5.5 4.8 0.3 0.2 2.3 0.6 0.7 11.7 10 15 0.7 1.5 55.6 0 40.0 -0.14 330.4 55.6
Max Tinsley Max Tinsley G 9 6.6 1.8 0.7 0.2 0.4 0.1 0.2 0.0 3.0 12 6 2.0 14.7 0 0 0 1.05 0 0
Otto Taylor Otto Taylor G 10 3.5 0.3 0.3 0.3 0.1 0.0 0.0 0.2 0.8 -10 7 -1.4 -20.3 50.0 50.0 0 -1.41 75.0 75.0

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