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Bucknell

Also known as: Bucknell Bison, Bucknell
Program History

2026 Team Stats (33 games)

67.4
PPG
76.3
Opp
-8.9
Margin
41.9%
FG%
30.6%
3P%
76.8%
FT%
31.4
RPG
12.7
APG
12.8
TO
67.2
Est. poss./game
65.1
Adj PPG
77.3
Adj Opp PPG
#331
Scoring 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 → 685 (#334) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 800 (#329) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 916 (#303) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -13.2 (#332) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.2 More → -14.2 (#338) HCA +2.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.193 (#333) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -13.2 More → 0.193 (#333) NetEff -13.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.2 More → 0.121 (#330) AdjNet -17.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.5 More → 0.117 (#330) AdjNet -17.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.1 | AdjD 77.3 More → 0.248 (#331) AdjO 65.1 | AdjD 77.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.7 | AdjD 75.5 More → 0.330 (#336) AdjO 67.7 | AdjD 75.5
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 → 0.208 (#331) 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 → 0.221 (#330) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 153 | GP 33 More → 774 (#331) RD 153 | GP 33

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Delaware Blue Hens W 78 - 70
2025-11-07 @ Mount St. Mary's Mountaineers W 73 - 62
2025-11-11 @ Princeton Tigers L 63 - 73
2025-11-14 vs Hofstra Pride L 77 - 83
2025-11-17 @ Pittsburgh Panthers L 50 - 84
2025-11-20 @ St. John's Red Storm L 49 - 97
2025-11-24 @ Bowling Green Falcons L 66 - 71
2025-11-26 vs Buffalo Bulls L 71 - 73
2025-11-30 vs Cornell Big Red L 72 - 101
2025-12-03 @ Akron Zips L 77 - 97
2025-12-06 vs UMBC Retrievers L 66 - 73
2025-12-09 @ Rider Broncs W 51 - 38
2025-12-20 @ Iowa Hawkeyes L 39 - 94
2025-12-31 @ Holy Cross Crusaders L 58 - 65
2026-01-03 vs Lehigh Mountain Hawks W 72 - 65
2026-01-07 @ Navy Midshipmen L 55 - 76
2026-01-10 vs Loyola Maryland Greyhounds W 70 - 67
2026-01-14 vs Lafayette Leopards W 76 - 69
2026-01-17 @ Colgate Raiders L 76 - 95
2026-01-21 vs Army Black Knights L 84 - 87
2026-01-24 @ Loyola Maryland Greyhounds L 62 - 67
2026-01-28 @ Lafayette Leopards L 79 - 81
2026-01-31 vs Boston University Terriers W 103 - 97
2026-02-04 @ American University Eagles W 60 - 59
2026-02-07 vs Colgate Raiders L 59 - 78
2026-02-09 vs Navy Midshipmen L 60 - 76
2026-02-14 @ Boston University Terriers L 69 - 82
2026-02-18 vs American University Eagles L 57 - 75
2026-02-22 vs Holy Cross Crusaders L 63 - 72
2026-02-25 @ Army Black Knights W 75 - 73
2026-02-28 @ Lehigh Mountain Hawks L 79 - 89
2026-03-03 vs Army Black Knights W 65 - 55
2026-03-05 @ Navy Midshipmen L 69 - 74

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Amon Dörries Amon Dörries - 33 32.5 16.2 4.4 1.4 0.8 0.4 2.7 11.3 9.1 -215 27 -8.0 -9.9 54.0 33.3 78.8 -3.05 62.1 57.8
Pat Curtin Pat Curtin - 27 25.1 12.8 4.3 1.5 1.4 0.0 1.8 10.7 7.5 -29 22 -1.3 -2.0 42.2 26.9 80.2 2.89 52.8 47.8
Achile Spadone Achile Spadone G 33 34.8 12.4 6.1 1.9 1.8 0.3 1.9 10.7 9.9 -201 27 -7.4 -8.7 41.2 29.7 79.2 -1.89 51.9 47.3
Ruot Bijiek Ruot Bijiek F 12 28.8 11.8 5.2 0.8 0.8 0.9 2.6 10.1 6.8 -91 8 -11.4 -16.7 35.5 28.4 85.4 -3.64 51.1 44.2
Jayden Williams Jayden Williams G 33 32.6 7.5 2.9 4.0 1.3 0.1 1.8 7.5 6.6 -131 27 -4.9 -6.1 32.1 31.0 82.8 1.21 44.9 39.4
Brandon McCreesh Brandon McCreesh G 8 27.6 7.4 3.1 1.6 0.5 0.5 0.8 6.4 6.0 -41 5 -8.2 -13.0 41.2 37.5 62.5 0.01 54.1 52.9
Aleksander Pachucki Aleksander Pachucki G 33 20.7 5.9 2.8 0.8 0.4 0.0 0.7 5.0 4.1 -202 27 -7.5 -14.0 41.2 35.9 69.6 -6.02 55.4 53.9
Grgur Brcic Grgur Brcic - 18 16.9 4.3 4.8 0.4 0.3 0.5 0.7 3.2 6.4 -63 12 -5.2 -13.6 56.9 0 46.2 -2.26 56.2 56.9
Quin Berger Quin Berger - 30 16.6 3.1 1.4 0.7 0.7 0.1 0.9 3.2 2.0 -27 24 -1.1 -2.7 32.6 30.6 71.4 0.94 46.5 44.2
Josh Fulton Josh Fulton - 8 10.9 2.2 2.4 1.2 1.0 0.0 1.0 1.0 4.9 -35 6 -5.8 -19.0 75.0 0.0 85.7 -3.69 81.2 75.0
Patrick O'Brien Patrick O'Brien - 21 9.8 2.2 1.2 0.1 0.1 0.2 0.2 1.6 2.0 -36 19 -1.9 -8.1 35.3 16.7 70.4 -1.66 50.1 39.7
Jacob Meachem Jacob Meachem - 30 10.4 1.5 0.5 1.6 0.3 0.0 1.0 1.8 1.2 -120 25 -4.8 -17.6 24.5 25.0 77.3 -4.42 36.7 27.4
Kellen Welch Kellen Welch - 11 1.7 0.5 0.6 0.1 0.1 0.2 0.0 0.6 0.8 9 9 1.0 22.1 28.6 0.0 50.0 0.5 31.7 28.6
Matt Lange Matt Lange - 9 2.2 0.4 0.2 0.0 0.0 0.0 0.1 0.1 0.4 -3 7 -0.4 -7.7 100.0 100.0 25.0 -1.2 72.5 150.0
Brady Muller Brady Muller F 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

Alumni in the Pros

Former Bucknell players in EuroLeague 2026-2027, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Bucknell game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.

Active alumni

Player At School League Team GP MPG PPG RPG APG
N. Sestina 2015-19 EuroLeague LDLC ASVEL Villeurbanne 7 14.8 6.3 2.4 1.1

Alumni around the leagues: recent games

Date Player League Team Opponent MIN PTS REB AST Box
2026-10-23 N. Sestina EuroLeague LDLC ASVEL Villeurbanne @ Zalgiris Kaunas 18 8 3 1 Box
2026-10-15 N. Sestina EuroLeague LDLC ASVEL Villeurbanne @ Real Madrid 24 8 2 3 Box
2026-10-13 N. Sestina EuroLeague LDLC ASVEL Villeurbanne vs Crvena Zvezda Meridianbet Belgrade 4 0 1 0 Box

2025-2026 Shot Zones

1855 located field-goal attempts in 33 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Dörries39% Dörries28% Curtin43% Curtin30% Curtin29% Pachucki35% Berger26% Spadone23% Spadone20% Pachucki20%
Points: who the team's points here most likely come from
Dörries34% Dörries23% Williams27% Williams44% Williams28% Spadone17% Pachucki29% Spadone23% Williams19% Williams21%
Misses: who misses most here

Amon DörriesAchile SpadonePat CurtinJayden WilliamsAleksander PachuckiQuin Berger

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 292-438 66.7 584 Amon Dörries 39% (230 pts) Achile Spadone 21% (122 pts) Amon Dörries 34% (49 misses) Achile Spadone 20% (29 misses)
Paint (non-RA) 191-451 42.4 382 Amon Dörries 28% (108 pts) Pat Curtin 21% (80 pts) Amon Dörries 23% (61 misses) Achile Spadone 21% (54 misses)
Mid-range left 21-77 27.3 42 Pat Curtin 43% (18 pts) Aleksander Pachucki 14% (6 pts) Jayden Williams 27% (15 misses) Achile Spadone 25% (14 misses)
Mid-range center 10-28 35.7 20 Pat Curtin 30% (6 pts) Aleksander Pachucki 20% (4 pts) Jayden Williams 44% (8 misses) Achile Spadone 17% (3 misses)
Mid-range right 21-68 30.9 42 Pat Curtin 29% (12 pts) Jayden Williams 19% (8 pts) Jayden Williams 28% (13 misses) Pat Curtin 21% (10 misses)
Left corner 3 31-101 30.7 93 Aleksander Pachucki 35% (33 pts) Achile Spadone 13% (12 pts) Achile Spadone 17% (12 misses) Aleksander Pachucki 16% (11 misses)
Right corner 3 19-71 26.8 57 Quin Berger 26% (15 pts) Aleksander Pachucki 16% (9 pts) Aleksander Pachucki 29% (15 misses) Achile Spadone 15% (8 misses)
Above-break 3 left 75-251 29.9 225 Achile Spadone 23% (51 pts) Amon Dörries 15% (33 pts) Achile Spadone 23% (40 misses) Pat Curtin 19% (33 misses)
Above-break 3 center 54-178 30.3 162 Achile Spadone 20% (33 pts) Jayden Williams 17% (27 pts) Jayden Williams 19% (23 misses) Achile Spadone 15% (18 misses)
Above-break 3 right 64-192 33.3 192 Aleksander Pachucki 20% (39 pts) Jayden Williams 17% (33 pts) Jayden Williams 21% (27 misses) Achile Spadone 19% (24 misses)