Texas-Tyler Patriots
Model Outputs
2012-2013
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 → | 793 (#1062) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 827 (#1056) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 995 (#338) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.2 (#565) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -12.5 (#492) | HCA +3.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.459 (#398) | AdjO 64.1 | AdjD 65.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.239 (#489) | 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. More → | 0.275 (#488) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 880 (#453) | RD 350 | GP 2 |
2013 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2012-11-13 | @ | Texas State Bobcats | L | 66 - 86 |
| 2012-12-03 | @ | McNeese Cowboys | L | 47 - 73 |
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Cannon
|
- | 2 | 31.5 | 13.0 | 2.5 | 3.5 | 1.0 | 0.5 | 1.5 | 4.0 | 15.0 | -28 | -1.0 | -3.7 | 50.0 | 60.0 | 100.0 | -0.15 | 146.4 | 68.8 |
T. Dykman
|
- | 2 | 25.5 | 11.5 | 2.5 | 1.5 | 0.0 | 0.0 | 2.5 | 4.0 | 9.0 | - | - | - | 37.5 | 50.0 | 75.0 | -0.38 | 117.8 | 50.0 |
D. Houliston
|
- | 2 | 22.5 | 6.0 | 4.0 | 0.0 | 0.0 | 0.5 | 0.5 | 5.0 | 5.0 | - | - | - | 40.0 | 0.0 | 0.0 | -0.32 | 53.0 | 40.0 |
J. Stephens
|
- | 2 | 15.0 | 2.0 | 3.0 | 0.5 | 0.0 | 0.5 | 1.5 | 2.0 | 2.5 | - | - | - | 25.0 | 0.0 | 0 | - | 50.0 | 25.0 |
N. Harbour
|
- | 2 | 17.5 | 2.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.5 | 1.0 | 4.5 | - | - | - | 0.0 | 0 | 0 | - | 100.0 | 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