Young Harris
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 → | 1058 (#121) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1088 (#111) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1116 (#56) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.2 (#147) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.1 (#197) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.812 (#235) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.927 (#124) | NetEff +18.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.551 (#383) | AdjNet +1.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.557 (#385) | AdjNet +1.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.511 (#399) | AdjO 62.0 | AdjD 61.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.723 (#71) | AdjO 63.3 | AdjD 52.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.719 (#157) | 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 → | 0.739 (#140) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1145 (#78) | RD 104 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | @ | Georgia College | W | 61 - 49 |
| 2025-11-15 | vs | North Georgia | L | 52 - 64 |
| 2025-11-19 | @ | Tusculum | W | 72 - 48 |
| 2025-11-22 | @ | UNC Pembroke | L | 71 - 77 |
| 2025-11-25 | @ | Emmanuel (GA) | W | 57 - 52 |
| 2025-11-29 | vs | UVA Wise | W | 78 - 62 |
| 2025-12-03 | vs | Southern Wesleyan | W | 90 - 57 |
| 2025-12-06 | vs | Belmont Abbey | L | 28 - 44 |
| 2025-12-13 | vs | Toccoa Falls | W | 105 - 21 |
| 2025-12-16 | vs | Johnson (TN) | W | 75 - 45 |
| 2025-12-31 | vs | Tusculum | W | 64 - 54 |
| 2026-01-03 | vs | Barton | W | 59 - 52 |
| 2026-01-10 | @ | Francis Marion | W | 56 - 50 |
| 2026-01-13 | vs | Emmanuel (GA) | W | 62 - 40 |
| 2026-01-19 | @ | Shorter | L | 50 - 56 |
| 2026-01-21 | @ | King (TN) | W | 63 - 61 |
| 2026-01-24 | @ | North Greenville | L | 0 - 0 |
| 2026-01-29 | @ | Southern Wesleyan | W | 88 - 50 |
| 2026-02-04 | vs | Erskine | W | 86 - 45 |
| 2026-02-07 | vs | Lees-McRae | W | 69 - 59 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Annalise Malone | - | 19 | 32.0 | 15.0 | 9.1 | 2.5 | 0.9 | 0.2 | 2.3 | 12.6 | 12.8 | 94 | 4.7 | 29.9 | 41.8 | 30.8 | 78.8 | 0.84 | 53.2 | 48.7 |
| Kamryn Bates | - | 18 | 33.6 | 14.6 | 4.9 | 3.9 | 1.3 | 0.1 | 2.4 | 12.8 | 9.4 | 175 | 8.8 | 67.5 | 39.4 | 28.2 | 69.0 | 2.7 | 48.6 | 43.7 |
| Chassidy Fedd | - | 18 | 24.7 | 7.9 | 4.9 | 2.0 | 1.2 | 0.3 | 1.7 | 6.8 | 7.7 | 126 | 6.6 | 60.3 | 48.8 | 23.5 | 64.3 | 1.18 | 52.5 | 50.4 |
| Natalie Jojola | - | 19 | 29.1 | 7.6 | 5.2 | 2.4 | 0.8 | 0.1 | 1.6 | 6.9 | 7.5 | 162 | 7.7 | 48.4 | 36.4 | 37.1 | 78.9 | -1.41 | 51.3 | 48.9 |
| Rhiannon Saller | - | 18 | 21.3 | 6.4 | 6.3 | 1.7 | 0.6 | 1.1 | 3.0 | 7.1 | 6.1 | 81 | 4.5 | 31.2 | 43.3 | 13.3 | 60.0 | 1.24 | 44.5 | 44.1 |
| Joy Tchamabe | - | 18 | 8.9 | 4.7 | 3.1 | 0.6 | 0.3 | 0.1 | 1.3 | 3.4 | 3.9 | 18 | 0.9 | 46.6 | 53.2 | 16.7 | 63.0 | -0.05 | 56.8 | 54.0 |
| Lilly Griffith | - | 18 | 33.9 | 4.6 | 6.3 | 2.1 | 1.2 | 0.2 | 1.3 | 5.0 | 8.1 | 159 | 8.4 | 48.2 | 31.1 | 27.6 | 73.3 | 4.29 | 43.0 | 40.0 |
| Katia Nekic | - | 13 | 12.0 | 4.4 | 1.5 | 1.3 | 0.5 | 0.0 | 0.8 | 4.3 | 2.6 | 61 | 4.7 | 116.7 | 35.7 | 31.2 | 66.7 | 1.06 | 49.7 | 49.1 |
| Telma Balague | - | 17 | 12.3 | 4.1 | 1.1 | 0.8 | 0.6 | 0.0 | 1.2 | 4.2 | 1.2 | -24 | -1.3 | -22.9 | 33.3 | 31.4 | 75.0 | -0.19 | 46.3 | 44.4 |
| Laia Hernandez | - | 3 | 12.5 | 3.0 | 1.0 | 0.7 | 0.3 | 0.0 | 0.7 | 4.0 | 0.3 | - | - | - | 25.0 | 25.0 | 100.0 | - | 34.9 | 29.2 |
| Hannah Dunn | - | 9 | 3.2 | 2.6 | 1.1 | 0.2 | 0.1 | 0.1 | 0.4 | 2.0 | 1.7 | 14 | 1.6 | 125.4 | 61.1 | 0 | 50.0 | -0.56 | 60.9 | 61.1 |
| Jolie Wingfield | - | 7 | 3.3 | 1.3 | 0.7 | 0.7 | 0.0 | 0.0 | 0.3 | 0.9 | 1.6 | 5 | 0.8 | 200.0 | 66.7 | 0 | 25.0 | -0.04 | 58.0 | 66.7 |
| Marina Sippola | - | 6 | 2.6 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 9 | 1.5 | 184.6 | 50.0 | 50.0 | 0 | -0.22 | 75.0 | 75.0 |
| Suzan Sisman | - | 3 | 2.8 | 0.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Callie Gaddis | - | 4 | 2.2 | 0.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | 3 | 0.8 | 61.5 | 0.0 | 0.0 | 0 | -0.22 | 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