🐻⬇️🏀

Austin Spurs

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Austin Spurs
Program History

2026 Team Stats (40 games)

114.6
PPG
108.9
Opp
+3.1
Margin
46.5%
FG%
34.7%
3P%
75.9%
FT%
46.8
RPG
19.9
APG
15.7
TO
111.2
Pace
109.1
AdjO
102.0
AdjD
#9
Rank

Model Outputs

2025-2026
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 → 1038 (#9) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1075 (#5) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +40 elo More → 1036 (#9) HCA +40 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +0.3 More → +9.2 (#2) HCA +0.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.8 More → +4.5 (#6) HCA +1.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.741 (#5) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.2 More → 0.506 (#16) AdjNet +0.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.2 More → 0.506 (#16) AdjNet +0.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 109.1 | AdjD 102.0 More → 0.656 (#9) AdjO 109.1 | AdjD 102.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 111.5 | AdjD 107.4 More → 0.593 (#6) AdjO 111.5 | AdjD 107.4
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 → 0.597 (#8) 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 → 0.596 (#7) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 86 | GP 48 More → 1057 (#10) RD 86 | GP 48

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-19 vs STO L 117 - 119
2025-12-21 @ MNE L 114 - 123
2025-12-27 vs MXC W 109 - 105
2025-12-31 vs SCW L 102 - 111
2026-01-02 vs SCW L 105 - 112
2026-01-09 vs SBL W 111 - 99
2026-01-10 vs SBL W 107 - 106
2026-01-13 @ SLC W 118 - 113
2026-01-15 @ SLC W 121 - 118
2026-01-20 @ OKL W 127 - 112
2026-01-22 vs CCG W 110 - 103
2026-01-23 vs CCG L 96 - 112
2026-01-25 @ VAL W 102 - 91
2026-01-27 @ VAL W 116 - 107
2026-01-29 vs STO L 115 - 119
2026-02-07 @ RGV L 111 - 112
2026-02-10 @ IWA - Preview
2026-02-11 @ IWA W 135 - 120
2026-02-19 @ SDC - Preview
2026-02-20 @ SDC - Preview
2026-02-22 vs MHU - Preview
2026-02-24 @ OKL L 100 - 109
2026-02-26 vs MCC W 102 - 94
2026-03-01 vs MHU - Preview
2026-03-07 @ SXF - Preview
2026-03-08 @ SXF - Preview
2026-03-10 @ RGV W 94 - 86
2026-03-12 vs TEX W 122 - 119
2026-03-15 vs STO - Preview
2026-03-17 @ CPS L 116 - 119
2026-03-20 @ NOB W 121 - 107
2026-03-22 @ NOB W 117 - 97
2026-03-25 vs RCR - Preview
2026-03-27 vs RCR - Preview
2026-03-28 vs MXC - Preview
2026-03-31 @ RGV - Preview

2026 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
David Jones Garcia G 11 32.1 25.5 6.5 3.7 2.0 1.0 3.0 20.6 15.0 - - - 41.4 30.0 84.3 - 56.1 46.7
Donovan Williams G 12 29.3 18.3 4.8 1.3 1.2 0.7 1.4 12.8 12.1 - - - 53.2 36.8 84.0 - 66.7 60.1
Stanley Umude G 22 32.4 17.0 4.4 1.4 1.0 1.0 1.6 15.6 7.5 - - - 38.7 28.2 73.9 - 51.2 46.4
Harrison Ingram G 21 33.6 16.3 12.3 4.2 1.1 0.6 2.0 12.7 20.0 - - - 50.8 33.8 58.3 - 59.6 55.1
Kyle Mangas G 23 29.3 15.2 4.0 2.1 1.3 0.6 1.7 12.2 9.3 - - - 44.6 37.8 83.3 - 59.2 54.3
Adam Flagler G 8 30.5 15.1 3.0 4.9 1.5 0.5 1.9 12.6 10.5 - - - 44.6 30.6 63.2 - 55.3 52.0
Carter Bryant - 1 28.0 15.0 5.0 0.0 0.0 2.0 3.0 13.0 6.0 - - - 46.2 0.0 100.0 - 54.0 46.2
Micah Potter F 1 127.0 15.0 11.0 0.0 2.0 0.0 2.0 8.0 18.0 - - - 75.0 50.0 50.0 - 84.5 81.2
Emanuel Miller F 6 33.2 13.5 7.2 0.7 0.7 0.2 2.0 10.2 10.0 - - - 55.7 23.1 85.7 - 63.2 58.2
Jayden Nunn G 22 25.6 12.1 3.3 2.0 0.7 0.2 1.2 10.2 7.0 - - - 42.9 29.9 60.4 - 54.5 48.0
Tre King - 19 14.9 7.4 2.8 0.4 1.0 0.3 0.7 5.9 5.2 - - - 42.5 38.1 76.9 - 59.0 53.1
Christian Koloko - 3 13.7 7.3 5.0 0.3 0.3 2.3 2.0 4.0 9.3 - - - 58.3 0.0 100.0 - 79.9 58.3
Trey McGowens - 17 14.8 6.5 2.2 1.6 1.0 0.0 1.3 3.9 6.1 - - - 43.3 30.0 82.9 - 67.4 45.5
Elfrid Payton F 22 22.0 6.3 5.5 5.5 1.1 0.4 2.1 5.6 11.0 - - - 48.4 27.8 53.8 - 53.6 50.4
Osayi Osifo G 15 18.3 5.7 5.9 0.2 0.5 0.4 1.7 3.9 7.1 - - - 57.6 0 58.8 - 63.9 57.6
James Banks III C 24 17.0 5.1 6.1 0.4 0.5 1.1 1.0 4.1 8.1 - - - 48.5 0 70.0 - 57.1 48.5
Chase Jeter - 3 6.3 1.3 1.7 0.0 0.0 0.3 0.7 2.3 0.3 - - - 28.6 0.0 0 - 28.6 28.6
Paul Zilinskas - 2 3.5 0.0 0.5 0.5 0.0 0.0 0.0 1.0 0.0 - - - 0.0 0.0 0 - 0.0 0.0
Pierre Crockrell II - 1 4.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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