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TCU

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: TCU Horned Frogs, TCU
Program History
Coach: Jamie Dixon

2018 Team Stats (19 games)

80.2
PPG
77.2
Opp
+2.9
Margin
47.6%
FG%
37.8%
3P%
70.2%
FT%
36.5
RPG
18.3
APG
12.0
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 → 1297 (#35) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1198 (#47) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1003 (#168) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +14.5 (#26) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +12.1 (#31) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.711 (#67) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.6 More → 0.906 (#29) AdjNet +19.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.8 More → 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 → 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 → 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 → 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 → 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 → 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
2018-03-28 @ Indiana Hoosiers L 58 - 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%
Vladimir Brodziansky Vladimir Brodziansky F 32 27.4 14.9 5.0 1.2 0.3 1.7 1.2 6.1 15.8 40 5 8.0 12.4 57.7 37.1 80.2 2.01 102.9 61.1
Kenrich Williams Kenrich Williams - 31 36.2 13.2 9.4 3.8 1.7 0.5 2.1 6.4 20.2 35 5 7.0 11.3 45.2 34.3 68.4 1.81 88.2 51.3
Jaylen Fisher Jaylen Fisher G 16 27.4 12.5 1.5 5.1 1.1 0.1 2.0 6.1 12.2 - - - - 51.0 44.2 83.3 - 92.1 60.7
Desmond Bane Desmond Bane - 32 30.8 12.5 4.1 2.6 0.9 0.2 1.8 5.0 13.6 43 5 8.6 15.7 50.3 45.1 76.7 3.06 112.1 61.9
Kouat Noi Kouat Noi F 32 22.1 10.2 3.9 0.7 0.6 0.1 0.9 4.4 10.2 38 5 7.6 15.4 46.8 40.0 54.5 2.57 102.3 58.9
Alex Robinson Alex Robinson G 31 32.0 9.7 3.0 6.1 1.2 0.3 3.3 5.3 11.7 37 5 7.4 11.3 40.5 24.4 50.9 2.13 80.1 43.6
JD Miller JD Miller F 32 19.8 7.9 3.8 1.0 0.5 0.6 1.1 4.4 8.2 -10 5 -2.0 -7.7 46.8 35.7 68.1 -2.68 77.9 52.1
Ahmed Hamdy Mohamed Ahmed Hamdy Mohamed F 31 13.0 5.8 3.0 0.2 0.3 0.3 0.8 2.5 6.1 - - - - 48.1 0 74.4 - 91.4 48.1
Shawn Olden Shawn Olden G 28 11.3 1.9 0.8 0.6 0.4 0.0 0.4 1.0 2.2 - - - - 29.6 30.4 100.0 -0.23 90.4 42.6
Dalton Dry Dalton Dry G 7 2.6 1.3 0.3 0.0 0.1 0.0 0.0 0.3 1.4 - - - - 0.0 0.0 50.0 -1.11 156.2 0.0
RJ Nembhard RJ Nembhard - 5 3.8 0.6 1.0 0.6 0.0 0.0 0.8 0.8 0.6 - - - - 0.0 0.0 0 - 37.5 0.0
Austin Sottile Austin Sottile F 2 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Clayton Crawford Clayton Crawford F 5 1.8 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.2 - - - - 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