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Neumann Knights

Also known as: Neumann Knights
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

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 → 1127 (#75) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1085 (#171) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 996 (#484) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -8.0 (#232) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -9.5 (#521) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.633 (#377) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.3 More → 0.278 (#471) AdjNet -8.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.6 More → 0.268 (#474) AdjNet -8.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.0 | AdjD 78.4 More → 0.360 (#477) AdjO 72.0 | AdjD 78.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.5 | AdjD 72.8 More → 0.447 (#517) AdjO 70.5 | AdjD 72.8
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.368 (#521) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.384 (#513) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 21 More → 968 (#409) RD 112 | GP 21

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-09 @ Franklin & Marshall L 67 - 97
2023-11-12 @ Manhattanville L 51 - 52
2023-11-18 vs VTSU Lyndon W 109 - 81
2023-11-19 @ Hamilton L 65 - 83
2023-11-21 vs Valley Forge W 80 - 56
2023-11-28 vs Alvernia L 66 - 73
2023-12-02 @ Salisbury L 78 - 82
2023-12-05 @ Eastern L 90 - 92
2023-12-07 vs Penn St. Harrisburg L 66 - 75
2023-12-09 @ Lebanon Valley L 66 - 72
2023-12-16 vs Susquehanna L 53 - 59
2023-12-29 @ Albright L 68 - 81
2023-12-30 vs Cortland L 66 - 69
2024-01-03 @ Gwynedd Mercy W 80 - 78
2024-01-06 @ Centenary (NJ) W 69 - 52
2024-01-10 vs Cabrini L 66 - 78
2024-01-13 @ Immaculata W 78 - 67
2024-01-17 vs Marywood W 73 - 69
2024-01-24 @ Marymount (VA) L 59 - 69
2024-01-27 vs Gwynedd Mercy L 79 - 87
2024-01-31 @ Cabrini W 70 - 54
2024-02-03 vs Centenary (NJ) W 86 - 70
2024-02-10 @ Marywood L 79 - 86
2024-02-13 vs Marymount (VA) L 55 - 58
2024-02-16 vs Immaculata W 67 - 64
2024-02-19 vs Immaculata L 69 - 70

2024 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%
Jalen Vaughns - 24 35.8 21.0 9.0 1.0 0.8 0.9 2.1 16.5 14.1 2 2.0 2.2 51.4 0 54.8 0.24 53.2 51.4
TJ Lewis - 26 37.7 14.9 5.7 2.9 0.7 0.5 2.9 11.3 10.6 12 6.0 6.4 45.4 31.0 86.0 0.91 56.0 48.5
Kyle Thompson - 24 30.2 10.8 2.8 1.2 0.4 0.1 1.5 9.0 4.8 6 3.0 3.7 41.9 36.4 76.5 0.81 54.3 50.9
Jarell Keel - 23 27.8 7.8 7.9 1.9 1.7 1.0 1.7 5.7 12.9 -14 -2.3 -9.5 47.7 0.0 71.6 0.6 54.4 47.7
Ja'bri White - 25 19.0 5.6 4.0 0.9 0.4 0.2 1.2 5.0 5.0 12 1.2 9.0 48.8 0.0 64.3 0.45 51.0 48.8
Amari Little - 23 13.7 4.0 1.5 1.0 0.4 0.0 0.8 3.3 2.8 10 1.7 8.4 42.9 37.8 100.0 0.16 55.6 51.9
Bernard Lightsey - 24 10.0 3.2 0.8 0.6 0.1 0.0 0.6 3.8 0.3 - - - 27.2 26.0 76.5 - 38.2 34.2
Zaiyin Keys - 23 11.7 2.7 1.4 0.3 0.5 0.1 1.0 2.3 1.6 2 0.2 3.1 41.5 25.8 90.0 -0.0 53.1 49.1
Darnelle Forrest - 23 5.5 1.3 0.7 0.5 0.2 0.0 0.3 1.2 1.1 - - - 46.4 33.3 60.0 - 49.7 48.2
Uche Unegbu - 20 3.3 0.9 0.2 0.2 0.0 0.0 0.1 0.8 0.5 11 5.5 17.3 43.8 40.0 0.0 0.18 53.3 56.2
David Vazquez - 25 5.6 0.6 0.4 0.4 0.2 0.0 0.6 0.5 0.5 -4 -2.0 -11.8 50.0 50.0 50.0 -0.23 54.5 54.2
Momo Kortue - 23 3.2 0.3 0.2 0.0 0.1 0.0 0.3 0.4 -0.1 3 1.5 9.7 30.0 0.0 0.0 -0.26 28.7 30.0
Aamir Conway - 20 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Bryan Potter - 5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Xavier Mabry - 4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Sal Saputo - 4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Jaylen Marbley - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 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