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TCU

Also known as: TCU Horned Frogs, TCU
Program History

2018 Team Stats (23 games)

80.9
PPG
75.5
Opp
+5.4
Margin
48.5%
FG%
38.6%
3P%
70.3%
FT%
36.7
RPG
18.5
APG
12.4
TO
-
Est. poss./game
82.8
Adj PPG
69.4
Adj Opp PPG
#26
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†’ 1297 (#35) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1198 (#47) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1003 (#168) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +14.5 (#26) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +12.1 (#31) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.711 (#67) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.6 More โ†’ 0.906 (#29) AdjNet +19.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.8 More โ†’ 0.908 (#30) AdjNet +19.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.8 | AdjD 69.4 More โ†’ 0.771 (#26) AdjO 82.8 | AdjD 69.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.7 | AdjD 70.2 More โ†’ 0.644 (#47) AdjO 76.7 | AdjD 70.2
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†’ 0.770 (#41) 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†’ 0.747 (#46) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 34 More โ†’ 1187 (#57) RD 98 | GP 34

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs UL Monroe Warhawks W 83 - 73
2017-11-13 vs Tennessee Tech Golden Eagles W 100 - 63
2017-11-15 vs South Dakota Coyotes W 76 - 71
2017-11-20 vs Omaha Mavericks W 99 - 66
2017-11-24 vs New Mexico Lobos W 69 - 67
2017-11-25 @ St. Bonaventure Bonnies W 89 - 79
2017-11-29 vs Belmont Bruins W 87 - 76
2017-12-02 vs Yale Bulldogs W 92 - 66
2017-12-05 vs SMU Mustangs W 94 - 83
2017-12-08 vs Nevada Wolf Pack W 84 - 80
2017-12-18 vs Texas Southern Tigers W 91 - 72
2017-12-22 vs William & Mary Tribe W 86 - 75
2017-12-30 vs Oklahoma Sooners L 89 - 90
2018-01-02 @ Baylor Bears W 81 - 78
2018-01-06 vs Kansas Jayhawks L 84 - 88
2018-01-10 @ Texas Longhorns L 98 - 99
2018-01-13 @ Oklahoma Sooners L 97 - 102
2018-01-17 vs Iowa State Cyclones W 96 - 73
2018-01-20 @ Kansas State Wildcats L 68 - 73
2018-01-22 vs West Virginia Mountaineers W 82 - 73
2018-01-27 @ Vanderbilt Commodores L 78 - 81
2018-01-30 @ Oklahoma State Cowboys W 79 - 66
2018-02-03 vs Texas Tech Red Raiders L 71 - 83
2018-02-06 @ Kansas Jayhawks L 64 - 71
2018-02-10 vs Texas Longhorns W 87 - 71
2018-02-12 @ West Virginia Mountaineers L 66 - 82
2018-02-17 vs Oklahoma State Cowboys W 90 - 70
2018-02-21 @ Iowa State Cyclones W 89 - 83
2018-02-24 vs Baylor Bears W 82 - 72
2018-02-27 vs Kansas State Wildcats W 66 - 59
2018-03-03 @ Texas Tech Red Raiders L 75 - 79
2018-03-08 @ Kansas State Wildcats L 64 - 66
2018-03-16 vs Syracuse Orange L 52 - 57

2018 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%
Vladimir Brodziansky Vladimir Brodziansky F 33 27.2 15.0 5.1 1.2 0.3 1.7 1.2 6.7 15.3 40 5 8.0 12.4 58.4 36.4 80.6 2.01 93.1 62.0
Kenrich Williams Kenrich Williams - 32 36.0 13.2 9.3 3.9 1.8 0.5 2.0 7.7 18.8 35 5 7.0 11.3 47.3 37.0 70.4 1.81 75.0 53.5
Desmond Bane Desmond Bane - 33 30.5 12.5 4.1 2.5 0.9 0.2 1.8 5.5 12.9 43 5 8.6 15.7 52.5 47.2 75.4 3.06 99.2 63.9
Jaylen Fisher Jaylen Fisher G 17 27.4 12.3 1.5 5.4 1.1 0.1 2.0 6.9 11.5 - - - - 49.6 41.5 83.3 - 81.9 59.0
Kouat Noi Kouat Noi F 33 22.0 10.2 3.9 0.7 0.6 0.1 0.8 5.0 9.6 38 5 7.6 15.4 48.8 41.5 57.4 2.57 89.7 60.5
Alex Robinson Alex Robinson G 31 32.0 9.7 3.0 6.1 1.2 0.3 3.3 6.0 11.0 37 5 7.4 11.3 40.5 28.6 53.3 2.13 71.0 44.3
JD Miller JD Miller F 33 19.8 7.9 3.8 1.0 0.6 0.5 1.1 5.0 7.8 -10 5 -2.0 -7.7 46.7 31.2 66.7 -2.68 68.9 51.2
Ahmed Hamdy Mohamed Ahmed Hamdy Mohamed F 32 13.2 5.9 3.0 0.2 0.2 0.3 0.9 3.4 5.4 - - - - 48.6 0 68.3 - 69.8 48.6
Shawn Olden Shawn Olden G 29 11.7 2.1 0.8 0.7 0.4 0.0 0.4 1.3 2.3 - - - - 32.4 34.4 75.0 -0.23 75.3 47.3
Dalton Dry Dalton Dry G 8 2.9 1.6 0.5 0.0 0.1 0.0 0.0 0.6 1.6 - - - - 20.0 33.3 66.7 -1.11 85.1 30.0
RJ Nembhard RJ Nembhard - 6 5.5 1.5 1.0 0.8 0.0 0.2 0.8 1.7 1.0 - - - - 30.0 0.0 0 - 45.0 30.0
Austin Sottile Austin Sottile F 2 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 -0.5 - - - - 0.0 0 0 - 0.0 0.0
Clayton Crawford Clayton Crawford F 6 2.0 0.0 0.2 0.0 0.0 0.0 0.0 0.2 0.0 - - - - 0.0 0.0 0 - 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