Loyola Chicago Ramblers
2026 Team Stats (31 games)
57.4
PPG
61.5
Opp
-4.1
Margin
39.0%
FG%
28.0%
3P%
65.9%
FT%
31.2
RPG
11.7
APG
15.9
TO
76.8
Pace
59.0
AdjO
61.5
AdjD
#190
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 → | 1118 (#103) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1003 (#176) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1046 (#131) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.5 (#189) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.4 (#180) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.295 (#242) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.312 (#228) | NetEff -5.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.376 (#201) | AdjNet -4.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.372 (#198) | AdjNet -4.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.443 (#190) | AdjO 59.0 | AdjD 61.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.523 (#195) | AdjO 61.1 | AdjD 60.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.722 (#188) | 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 → | 0.691 (#183) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1069 (#161) | RD 103 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Mobley
|
G | 26 | 28.0 | 11.9 | 4.8 | 1.2 | 1.8 | 0.5 | 2.1 | 11.6 | 6.5 | 16 | 1.1 | 2.3 | 40.4 | 22.9 | 62.5 | -1.23 | 46.0 | 43.0 |
A. Bessette
|
G | 30 | 30.1 | 11.0 | 3.5 | 1.6 | 1.0 | 0.9 | 3.4 | 10.0 | 4.6 | 80 | 3.5 | 5.0 | 42.1 | 28.3 | 66.2 | 3.52 | 50.0 | 47.5 |
A. Kinas
|
G | 31 | 31.6 | 10.1 | 4.7 | 2.6 | 2.5 | 0.5 | 2.2 | 8.3 | 9.8 | 30 | 1.3 | 1.7 | 42.2 | 35.6 | 78.0 | 0.2 | 51.7 | 45.3 |
B. Vaughn
|
F | 31 | 26.0 | 8.3 | 5.1 | 1.5 | 1.0 | 0.3 | 1.6 | 7.5 | 7.2 | 47 | 2.0 | 3.4 | 47.2 | 0.0 | 55.6 | 1.12 | 49.1 | 47.2 |
R. Mercille
|
G | 30 | 20.6 | 5.9 | 1.3 | 0.8 | 0.4 | 0.1 | 1.4 | 5.3 | 1.8 | 54 | 2.6 | 5.0 | 36.1 | 34.8 | 70.6 | 2.33 | 51.2 | 48.4 |
K. Chivers
|
G | 28 | 33.4 | 5.2 | 1.9 | 2.6 | 1.0 | 0.0 | 1.5 | 5.0 | 4.3 | 39 | 1.9 | 2.6 | 32.4 | 28.4 | 67.3 | -0.07 | 45.5 | 40.6 |
A. Deptula
|
G | 21 | 12.4 | 4.0 | 1.9 | 0.3 | 0.3 | 0.2 | 0.8 | 3.6 | 2.3 | -18 | -0.8 | -2.5 | 30.3 | 32.7 | 91.3 | -0.99 | 48.8 | 41.4 |
K. Hendrix
|
G | 22 | 10.2 | 2.2 | 2.7 | 0.4 | 0.4 | 0.2 | 1.2 | 2.1 | 2.6 | 42 | 3.0 | 12.5 | 36.2 | 25.0 | 46.4 | 2.75 | 41.3 | 38.3 |
C. Djoko
|
F | 26 | 13.3 | 1.3 | 3.0 | 1.1 | 0.4 | 0.3 | 1.1 | 1.9 | 3.2 | -30 | -1.7 | -3.2 | 32.0 | 33.3 | 22.2 | -3.48 | 32.4 | 33.0 |
R. Grandberry
|
F | 26 | 6.9 | 1.3 | 1.5 | 0.3 | 0.2 | 0.2 | 0.5 | 1.6 | 1.4 | -5 | -0.2 | -1.3 | 31.0 | 8.3 | 58.3 | -1.39 | 37.0 | 33.3 |
D. Matus
|
G | 16 | 5.1 | 1.1 | 0.4 | 0.1 | 0.2 | 0.0 | 0.4 | 2.2 | -0.8 | 0 | 0.0 | 0.0 | 16.7 | 16.7 | 50.0 | -0.86 | 23.8 | 22.2 |
N. Dickman
|
F | 25 | 5.1 | 1.0 | 0.5 | 0.3 | 0.1 | 0.0 | 0.5 | 1.3 | 0.1 | -1 | -0.1 | -0.3 | 30.3 | 0.0 | 75.0 | -0.66 | 35.6 | 30.3 |
Y. Palmer
|
F | 6 | 1.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.2 | -3 | -0.8 | -39.6 | 0.0 | 0 | 0 | -0.27 | 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