🐻⬇️🏀

Lehigh Mountain Hawks

Also known as: Lehigh Mountain Hawks
Program History

2026 Team Stats (33 games)

72.2
PPG
73.1
Opp
-0.9
Margin
46.1%
FG%
36.4%
3P%
72.5%
FT%
32.2
RPG
14.4
APG
12.2
TO
75.8
Pace
70.0
AdjO
78.4
AdjD
#282
Rank

Model Outputs

2025-2026
Catalog

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 → 1042 (#146) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 859 (#282) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 1072 (#80) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → -8.8 (#291) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +4.9 (#303) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.400 (#236) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -7.6 More → 0.279 (#246) NetEff -7.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.7 More → 0.207 (#287) AdjNet -11.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.8 More → 0.204 (#286) AdjNet -11.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.0 | AdjD 78.4 More → 0.319 (#282) AdjO 70.0 | AdjD 78.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.7 | AdjD 71.8 More → 0.476 (#355) AdjO 70.7 | AdjD 71.8
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 → 0.646 (#253) 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 → 0.617 (#249) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 33 More → 1033 (#206) RD 114 | GP 33

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Houston Cougars L 57 - 75
2025-11-06 vs Valley Forge Patriots W 91 - 52
2025-11-09 @ West Virginia Mountaineers L 47 - 69
2025-11-14 @ Rutgers Scarlet Knights L 72 - 84
2025-11-18 vs Saint Francis Red Flash W 79 - 62
2025-11-21 vs Columbia Lions L 67 - 82
2025-11-25 @ Marist Red Foxes L 55 - 78
2025-11-28 vs UC Santa Barbara Gauchos L 70 - 72
2025-11-29 @ Texas State Bobcats W 78 - 74
2025-12-02 @ Binghamton Bearcats L 71 - 80
2025-12-18 vs Penn State Hazleton Nittany Lions W 83 - 74
2025-12-21 @ Monmouth Hawks L 62 - 76
2025-12-31 vs Army Black Knights L 78 - 85
2026-01-03 @ Bucknell Bison L 65 - 72
2026-01-07 vs Holy Cross Crusaders W 66 - 58
2026-01-10 @ Colgate Raiders W 78 - 77
2026-01-14 @ Boston University Terriers W 93 - 91
2026-01-19 vs Loyola Maryland Greyhounds W 88 - 81
2026-01-24 vs Lafayette Leopards W 64 - 59
2026-01-28 @ Army Black Knights L 64 - 67
2026-01-31 vs Colgate Raiders W 77 - 76
2026-02-04 @ Loyola Maryland Greyhounds L 84 - 89
2026-02-07 @ Holy Cross Crusaders L 67 - 76
2026-02-11 vs American University Eagles W 90 - 82
2026-02-14 @ Lafayette Leopards W 78 - 69
2026-02-18 @ Navy Midshipmen L 49 - 72
2026-02-21 vs Boston University Terriers W 70 - 67
2026-02-25 @ American University Eagles W 78 - 73
2026-02-28 vs Bucknell Bison W 89 - 79
2026-03-05 vs Holy Cross Crusaders W 69 - 66
2026-03-08 vs Colgate Raiders W 76 - 69
2026-03-11 vs Boston University Terriers W 74 - 60
2026-03-18 vs Prairie View A&M Panthers L 55 - 67

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%
N. Whitlock N. Whitlock - 33 35.2 20.2 3.6 3.3 1.0 0.0 2.6 14.5 11.0 -84 -3.7 -5.6 46.7 43.2 76.8 -1.01 59.2 54.3
H. Alvey H. Alvey - 33 30.6 15.1 7.0 2.2 1.1 1.7 1.8 9.6 15.7 -17 -0.7 -1.2 62.0 45.5 66.2 -0.01 65.0 62.8
J. Ingram J. Ingram - 33 34.9 10.5 5.4 3.3 1.3 0.7 1.9 7.7 11.5 -1 -0.0 -0.1 49.4 40.2 75.0 -0.05 61.4 58.7
E. Benoit E. Benoit - 23 28.3 10.0 6.0 1.1 0.6 0.2 1.7 8.5 7.6 -28 -2.2 -3.5 39.5 31.1 81.4 0.02 52.0 46.7
Andrew Urosevic Andrew Urosevic - 27 18.0 7.1 1.1 0.7 0.3 0.0 0.6 6.4 2.1 -7 -0.4 -1.1 40.2 34.9 75.0 -0.65 53.8 53.2
Caleb Thomas Caleb Thomas - 21 20.0 4.8 1.3 1.9 0.8 0.0 1.4 5.2 2.1 -77 -4.1 -7.8 33.6 20.0 58.3 -1.27 40.1 36.4
P. Kramer P. Kramer - 33 20.4 4.1 1.9 0.6 0.6 0.3 0.5 3.5 3.5 -71 -3.1 -8.5 38.3 37.6 68.4 -0.42 55.1 53.5
Jalen Vazquez Jalen Vazquez - 29 22.8 4.1 2.7 2.1 1.1 0.1 1.2 3.7 5.2 -11 -0.5 -1.2 38.9 28.9 68.6 -0.06 48.2 44.0
A. Addesa A. Addesa - 31 8.0 2.1 1.4 0.3 0.3 0.2 0.7 2.1 1.5 -60 -2.7 -13.1 35.9 30.0 90.0 -1.03 46.8 43.0
J. Pike J. Pike - 17 8.5 1.2 1.8 0.2 0.0 0.3 0.4 1.0 2.1 -18 -1.3 -7.0 41.2 25.0 80.0 -0.6 52.1 47.1
H. Adiassa H. Adiassa - 24 4.2 0.4 0.8 0.0 0.0 0.0 0.2 0.2 0.8 7 0.4 4.7 50.0 0 80.0 0.04 61.0 50.0
T. Conniff T. Conniff - 14 4.1 0.3 0.7 0.3 0.2 0.0 0.3 0.2 1.0 -19 -1.6 -20.7 66.7 0 0.0 -0.52 58.1 66.7
B. Reed B. Reed - 11 0.9 0.0 0.2 0.0 0.0 0.0 0.0 0.3 -0.1 -5 -0.7 -38.6 0.0 0.0 0 -0.06 0.0 0.0
B. Momah B. Momah F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Caesar Burrows Caesar Burrows G 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