Fairfield Stags
2026 Team Stats (31 games)
74.6
PPG
56.1
Opp
+18.5
Margin
45.2%
FG%
36.8%
3P%
75.0%
FT%
32.6
RPG
17.0
APG
13.4
TO
78.4
Pace
73.6
AdjO
60.5
AdjD
#59
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 → | 1263 (#30) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1306 (#29) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1171 (#12) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.0 (#62) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +26.5 (#55) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.963 (#7) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.963 (#18) | NetEff +27.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.910 (#60) | AdjNet +20.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.912 (#61) | AdjNet +20.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.767 (#59) | AdjO 73.6 | AdjD 60.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.813 (#24) | AdjO 70.3 | AdjD 54.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.933 (#47) | 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 → | 0.923 (#41) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1268 (#38) | RD 121 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. L'Amoreaux
|
G | 31 | 31.7 | 17.1 | 4.7 | 4.3 | 1.9 | 0.3 | 2.7 | 12.1 | 13.6 | 251 | 10.9 | 12.8 | 46.1 | 35.1 | 90.1 | 0.83 | 61.3 | 54.9 |
M. Andersen
|
F | 31 | 29.7 | 16.2 | 4.8 | 1.8 | 1.3 | 1.1 | 1.7 | 13.3 | 10.1 | 290 | 12.6 | 15.9 | 45.0 | 40.5 | 88.9 | 4.74 | 57.6 | 55.1 |
J. Huerter
|
G | 30 | 25.5 | 9.4 | 2.5 | 2.5 | 0.8 | 0.5 | 1.5 | 7.4 | 6.8 | 165 | 7.9 | 12.5 | 42.5 | 44.3 | 92.6 | 0.64 | 60.8 | 58.4 |
C. Coe
|
F | 31 | 21.6 | 8.6 | 5.8 | 1.5 | 1.1 | 0.7 | 1.6 | 6.2 | 10.0 | 203 | 9.2 | 14.8 | 63.4 | 0.0 | 37.3 | 1.25 | 60.5 | 63.4 |
J. Brown
|
G | 25 | 21.8 | 5.9 | 3.0 | 3.1 | 1.6 | 0.1 | 2.1 | 5.4 | 6.3 | 149 | 8.8 | 14.3 | 40.3 | 30.6 | 61.8 | 2.26 | 49.7 | 47.4 |
C. Pham
|
G | 26 | 13.1 | 5.2 | 0.5 | 1.2 | 0.4 | 0.0 | 1.0 | 4.8 | 1.5 | 87 | 4.3 | 10.4 | 36.8 | 37.7 | 66.7 | -0.63 | 53.3 | 52.8 |
S. Scott
|
G | 31 | 20.6 | 5.0 | 1.5 | 0.7 | 0.8 | 0.2 | 0.6 | 4.4 | 3.2 | 136 | 5.9 | 13.2 | 38.2 | 36.9 | 87.5 | 2.71 | 55.9 | 54.8 |
L. Beach
|
F | 26 | 16.0 | 3.5 | 2.9 | 0.6 | 0.7 | 0.0 | 0.8 | 2.0 | 5.0 | 126 | 7.0 | 16.0 | 72.5 | 0.0 | 70.8 | 3.01 | 73.9 | 72.5 |
M. van Vliet
|
F | 21 | 13.1 | 2.9 | 1.9 | 1.0 | 0.3 | 0.3 | 0.9 | 3.1 | 2.5 | 98 | 7.0 | 13.4 | 40.0 | 18.8 | 20.0 | 0.48 | 43.2 | 44.6 |
A. Campbell
|
G | 22 | 14.1 | 2.5 | 1.6 | 0.9 | 0.5 | 0.1 | 0.6 | 2.5 | 2.5 | 144 | 8.5 | 21.7 | 30.9 | 29.4 | 94.4 | 3.9 | 44.5 | 35.5 |
K. Gregory
|
G | 24 | 8.0 | 2.0 | 1.7 | 0.8 | 0.4 | 0.0 | 0.3 | 1.6 | 3.1 | 92 | 4.8 | 22.1 | 42.1 | 35.3 | 68.8 | 0.96 | 54.4 | 50.0 |
J. Karpell
|
G | 17 | 4.4 | 1.7 | 0.2 | 0.2 | 0.1 | 0.0 | 0.4 | 1.5 | 0.5 | 1 | 0.1 | 0.9 | 36.0 | 33.3 | 100.0 | -0.78 | 55.1 | 52.0 |
J. Sackrider
|
F | 8 | 3.5 | 0.9 | 1.0 | 0.1 | 0.1 | 0.2 | 0.2 | 0.6 | 1.5 | 14 | 1.4 | 21.8 | 20.0 | 0.0 | 83.3 | 0.14 | 45.8 | 20.0 |
C. Prior
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
S. Yusan
|
F | 13 | 3.1 | 0.0 | 0.5 | 0.2 | 0.1 | 0.0 | 0.2 | 0.6 | -0.1 | -10 | -1.0 | -13.1 | 0.0 | 0.0 | 0 | -1.97 | 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