Houston Christian Huskies
2026 Team Stats (28 games)
58.0
PPG
67.4
Opp
-9.4
Margin
37.9%
FG%
25.7%
3P%
65.2%
FT%
34.6
RPG
11.8
APG
19.2
TO
81.5
Pace
54.7
AdjO
69.9
AdjD
#313
Rank
Model Outputs
2025-2026
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 → | 719 (#333) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 754 (#317) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 869 (#557) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -15.5 (#314) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.4 (#343) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.127 (#310) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.085 (#324) | NetEff -18.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.070 (#312) | AdjNet -22.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.066 (#312) | AdjNet -22.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.201 (#313) | AdjO 54.7 | AdjD 69.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.324 (#539) | AdjO 55.1 | AdjD 63.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.359 (#356) | 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 → | 0.334 (#371) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 786 (#554) | RD 164 | GP 28 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Booth
|
G | 28 | 27.2 | 11.2 | 6.7 | 1.8 | 1.5 | 0.3 | 3.0 | 9.9 | 8.6 | 24 | 1.1 | 1.9 | 44.8 | 31.1 | 71.2 | -1.46 | 51.7 | 48.9 |
K. McLaurin
|
G | 28 | 23.8 | 10.1 | 2.9 | 1.0 | 1.5 | 0.1 | 2.2 | 7.8 | 5.7 | 52 | 2.5 | 4.4 | 41.0 | 30.0 | 61.5 | 2.08 | 50.3 | 44.5 |
J. Jackson
|
G | 28 | 26.0 | 8.0 | 5.5 | 1.5 | 0.6 | 0.5 | 1.8 | 7.4 | 7.0 | -2 | -0.7 | -1.5 | 35.0 | 28.7 | 79.7 | 1.41 | 47.4 | 41.0 |
T. Caesar
|
G | 28 | 24.4 | 5.8 | 2.2 | 2.2 | 0.5 | 0.1 | 2.3 | 5.7 | 2.7 | 26 | 1.2 | 2.1 | 37.5 | 28.6 | 67.9 | 1.55 | 46.7 | 44.4 |
M. Hurta
|
G | 27 | 17.5 | 5.3 | 1.6 | 0.5 | 0.6 | 0.0 | 1.2 | 5.7 | 1.1 | -69 | -3.5 | -10.8 | 35.1 | 26.9 | 63.6 | -0.52 | 45.3 | 44.5 |
D. Hyams
|
G | 27 | 19.7 | 4.1 | 2.3 | 0.8 | 0.6 | 0.3 | 1.5 | 4.0 | 2.6 | 24 | 1.2 | 2.2 | 35.8 | 12.5 | 56.6 | 1.33 | 41.9 | 37.2 |
M. Davis
|
G | 19 | 17.4 | 3.9 | 1.7 | 1.2 | 0.6 | 0.2 | 1.4 | 4.3 | 1.9 | 51 | 2.3 | 5.0 | 32.1 | 26.2 | 87.5 | 1.34 | 44.4 | 42.0 |
S. Carr
|
G | 28 | 23.8 | 3.8 | 3.0 | 1.8 | 1.4 | 0.1 | 2.5 | 4.1 | 3.4 | -3 | -0.1 | -0.3 | 32.2 | 19.0 | 71.9 | -1.88 | 40.7 | 35.7 |
Jo Oly
|
F | 25 | 14.0 | 3.5 | 3.1 | 0.8 | 0.9 | 0.7 | 1.7 | 3.9 | 3.4 | 12 | 0.7 | 2.2 | 37.8 | 18.2 | 55.6 | -0.55 | 41.5 | 39.8 |
H. Fields
|
G | 27 | 15.3 | 3.4 | 2.3 | 0.6 | 0.8 | 0.2 | 1.1 | 3.3 | 2.9 | 92 | 4.4 | 10.6 | 41.1 | 14.8 | 45.5 | 3.72 | 44.5 | 43.3 |
V. Korchagina
|
F | 4 | 6.8 | 2.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 1.5 | 0.5 | -10 | -2.0 | -10.8 | 50.0 | 0 | 50.0 | 1.86 | 51.5 | 50.0 |
M. Czescik
|
F | 11 | 5.8 | 1.2 | 0.7 | 0.3 | 0.4 | 0.0 | 0.5 | 0.7 | 1.3 | -23 | -3.3 | -28.1 | 37.5 | 50.0 | 83.3 | -2.06 | 61.1 | 50.0 |
R. Langmaid
|
G | 7 | 4.7 | 0.7 | 0.3 | 0.0 | 0.1 | 0.0 | 0.0 | 2.4 | -1.3 | 25 | 6.2 | 59.0 | 11.8 | 6.7 | 0 | 1.13 | 14.7 | 14.7 |
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