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Prairie View A&M

Also known as: Prairie View A&M Panthers
Program History

2023 Team Stats (32 games)

67.8
PPG
68.6
Opp
-0.9
Margin
40.4%
FG%
30.3%
3P%
68.5%
FT%
35.1
RPG
11.0
APG
13.7
TO
70.3
Est. poss./game
63.0
Adj PPG
69.3
Adj Opp PPG
#280
Scoring Rank

Model Outputs

2022-2023
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†’ 788 (#286) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 852 (#298) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +85 elo More โ†’ 976 (#224) HCA +85 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ -6.8 (#282) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -7.8 (#294) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.401 (#226) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -3.3 More โ†’ 0.401 (#226) NetEff -3.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.9 More โ†’ 0.223 (#286) AdjNet -10.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.1 More โ†’ 0.218 (#286) AdjNet -11.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.0 | AdjD 69.3 More โ†’ 0.359 (#280) AdjO 63.0 | AdjD 69.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.0 | AdjD 68.1 More โ†’ 0.430 (#256) AdjO 65.0 | AdjD 68.1
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†’ 0.326 (#281) 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†’ 0.339 (#281) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 132 | GP 30 More โ†’ 832 (#306) RD 132 | GP 30

2023 Schedule & Results

2023 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%
William Douglas William Douglas - 31 28.0 15.0 4.8 2.1 1.3 0.1 2.7 12.4 8.1 -7 23 -0.3 -0.4 42.6 34.4 81.1 1.53 52.6 46.6
Yahuza Rasas Yahuza Rasas - 26 29.9 10.9 7.1 0.9 1.3 1.2 1.7 9.8 10.0 -18 18 -1.0 -1.4 45.3 21.1 80.0 -0.74 50.3 46.1
Jeremiah Gambrell Jeremiah Gambrell - 28 25.1 9.6 1.8 1.5 0.6 0.2 1.9 9.7 2.1 -18 22 -0.8 -1.3 32.8 27.2 71.2 2.04 44.8 41.0
Hegel Augustin Hegel Augustin - 30 20.5 9.1 5.1 0.9 0.9 0.5 1.5 8.2 6.9 4 21 0.2 0.4 36.6 29.0 59.8 2.6 46.6 42.5
Tekorian Smith Tekorian Smith - 29 20.3 8.0 2.2 1.2 0.7 0.3 1.3 7.6 3.6 -97 21 -4.6 -9.4 38.8 28.4 60.4 -4.71 48.1 45.9
Braden Bell Braden Bell - 30 12.0 5.6 2.0 0.3 0.5 0.1 0.6 4.6 3.3 65 22 3.0 9.4 47.5 36.9 52.4 4.27 56.3 56.1
Kortrijk Miles Kortrijk Miles - 19 10.5 3.9 2.2 0.2 0.6 0.2 0.6 2.9 3.5 -37 14 -2.6 -9.5 41.1 20.0 84.4 -1.91 52.8 42.0
Nikkei Rutty Nikkei Rutty - 24 25.2 3.8 5.2 0.5 0.6 0.6 1.2 2.8 6.8 -132 19 -6.9 -11.5 47.8 0.0 57.1 -4.62 51.9 47.8
Ricky Nelson Ricky Nelson - 24 24.3 3.6 1.5 3.0 0.6 0.0 1.3 3.3 4.1 -21 16 -1.3 -2.5 31.2 34.3 86.2 -3.3 46.9 38.8
Brian Myles Brian Myles F 20 11.3 3.6 3.0 0.5 0.6 0.5 0.6 2.5 5.1 -33 15 -2.2 -7.6 58.0 25.0 53.8 -1.5 59.4 59.0
Kyle Harding Kyle Harding - 26 10.5 2.8 1.2 0.9 0.5 0.2 0.8 2.7 2.1 -45 19 -2.4 -8.1 38.0 34.5 43.5 -2.15 45.6 45.1
Trajan Wesley Trajan Wesley - 16 10.3 1.4 1.1 0.7 0.6 0.0 0.6 1.4 1.8 -24 13 -1.8 -6.5 31.8 40.0 77.8 -2.57 44.3 36.4
Mckinley Harris Mckinley Harris - 30 10.7 1.3 1.7 0.2 0.3 0.3 0.3 1.1 2.4 -141 22 -6.4 -26.1 41.2 40.0 56.2 -7.64 47.5 44.1
Patrick Neal Patrick Neal - 26 9.0 0.5 0.9 0.5 0.3 0.1 0.5 0.7 1.1 -93 20 -4.7 -20.5 33.3 0.0 33.3 -6.58 33.9 33.3
T. Poindexter T. Poindexter G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Kevin McGaskey Kevin McGaskey - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -0.96 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

2022-2023 Shot Zones

53 located field-goal attempts in 1 game (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Smith44% Smith50%
Points: who the team's points here most likely come from
Smith29%
Misses: who misses most here

Tekorian Smith

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 16-47 34.0 32 Tekorian Smith 44% (14 pts) Ricky Nelson 19% (6 pts) Tekorian Smith 29% (9 misses) Yahuza Rasas 13% (4 misses)
Paint (non-RA) 0-0 - 0 - - - -
Mid-range left 0-0 - 0 - - - -
Mid-range center 0-0 - 0 - - - -
Mid-range right 0-0 - 0 - - - -
Left corner 3 0-0 - 0 - - - -
Right corner 3 6-6 100.0 18 Tekorian Smith 50% (9 pts) Braden Bell 17% (3 pts) - -
Above-break 3 left 0-0 - 0 - - - -
Above-break 3 center 0-0 - 0 - - - -
Above-break 3 right 0-0 - 0 - - - -