Concordia Chicago
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 → | 975 (#293) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 914 (#447) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 925 (#588) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -10.2 (#290) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -19.6 (#599) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.064 (#656) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#14) | NetEff +86.1 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.187 (#455) | NetEff -11.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.037 (#621) | AdjNet -28.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.032 (#619) | AdjNet -28.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.159 (#619) | AdjO 54.0 | AdjD 72.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.235 (#642) | AdjO 59.9 | AdjD 72.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.194 (#602) | 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 → | 0.204 (#602) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 906 (#409) | RD 153 | GP 5 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | vs | Aurora | L | 54 - 102 |
| 2026-01-24 | @ | St. Norbert | L | 50 - 93 |
| 2026-01-28 | vs | Concordia Wisconsin | W | 68 - 48 |
| 2026-02-04 | @ | Benedictine (IL) | L | 67 - 82 |
| 2026-02-07 | @ | Wis. Lutheran | L | 41 - 92 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ai Yonemura | - | 5 | 31.0 | 17.6 | 2.6 | 4.0 | 1.8 | 0.4 | 4.4 | 19.4 | 2.6 | -79 | -3.8 | -21.8 | 35.1 | 21.2 | 81.2 | -0.36 | 42.3 | 38.7 |
| Naveya Jackson | - | 5 | 20.5 | 9.8 | 5.8 | 0.8 | 1.4 | 0.2 | 3.4 | 11.2 | 3.4 | -23 | -1.2 | -11.2 | 30.4 | 35.0 | 53.3 | 1.45 | 39.1 | 36.6 |
| Jocelyn Chammas | - | 5 | 17.0 | 7.8 | 0.8 | 0.0 | 0.6 | 0.0 | 1.2 | 6.2 | 1.8 | -82 | -4.1 | -42.6 | 45.2 | 44.0 | 0.0 | -4.8 | 61.2 | 62.9 |
| Grace King | - | 5 | 26.4 | 7.6 | 3.2 | 0.8 | 1.4 | 0.0 | 0.6 | 8.0 | 4.4 | -106 | -5.6 | -32.4 | 40.0 | 33.3 | 100.0 | -1.42 | 45.5 | 42.5 |
| Abbi Dykstra | - | 5 | 19.9 | 3.8 | 2.4 | 0.8 | 0.4 | 0.2 | 1.0 | 4.6 | 2.0 | -110 | -5.2 | -41.0 | 30.4 | 25.0 | 0 | -3.05 | 41.3 | 41.3 |
| Sophia Pedraza | - | 5 | 25.0 | 3.2 | 2.8 | 1.6 | 2.2 | 0.2 | 1.4 | 1.8 | 6.8 | -65 | -3.1 | -24.1 | 44.4 | 75.0 | 83.3 | -2.82 | 68.7 | 61.1 |
| Emma Nickerson | - | 5 | 8.8 | 2.6 | 1.2 | 0.2 | 0.4 | 0.2 | 1.0 | 3.4 | 0.2 | -54 | -3.4 | -38.1 | 35.3 | 20.0 | 0.0 | -1.3 | 36.4 | 38.2 |
| Kira Holliday | - | 2 | 11.8 | 2.5 | 1.0 | 0.5 | 0.0 | 0.0 | 1.0 | 2.5 | 0.5 | -167 | -10.4 | -127.6 | 40.0 | 33.3 | 0 | -3.82 | 50.0 | 50.0 |
| Hannah Lopez | - | 5 | 26.0 | 1.4 | 2.0 | 0.8 | 0.6 | 0.2 | 1.0 | 2.8 | 1.2 | -50 | -2.4 | -17.6 | 14.3 | 16.7 | 100.0 | -2.17 | 23.5 | 17.9 |
| Linley Southern | - | 5 | 12.8 | 0.6 | 1.6 | 0.4 | 0.0 | 0.2 | 0.2 | 1.4 | 1.2 | -76 | -3.8 | -39.0 | 0.0 | 0.0 | 75.0 | -3.03 | 17.1 | 0.0 |
| Julia Conte | - | 4 | 2.8 | 0.5 | 1.0 | 0.0 | 0.2 | 0.0 | 0.2 | 0.0 | 1.5 | -7 | -1.2 | -39.3 | 0 | 0 | 50.0 | -0.01 | 56.8 | 0 |
| Naomi Gonzales | - | 4 | 2.2 | 0.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -6 | -1.2 | -40.4 | 0.0 | 0.0 | 50.0 | 0.07 | 17.4 | 0.0 |
| Isabella Ayer | - | 4 | 3.6 | 0.0 | 0.5 | 0.2 | 0.0 | 0.0 | 0.8 | 1.0 | -1.0 | 3 | 0.4 | 12.9 | 0.0 | 0.0 | 0 | -0.53 | 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