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Seattle U

Also known as: Seattle U Redhawks, Seattle
Program History

2027 Team Stats (1 games)

73.0
PPG
74.0
Opp
-1.0
Margin
50.0%
FG%
43.8%
3P%
70.6%
FT%
30.0
RPG
11.0
APG
20.0
TO
74.5
Est. poss./game
68.7
Adj PPG
63.6
Adj Opp PPG
#49
Scoring Rank

Model Outputs

2026-2027
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. Preseason prior 1058 (returning production + recruiting): last season 1043, returning +63, transfers -18, freshmen -30 More โ†’ 1049 (#112) Preseason prior 1058 (returning production + recruiting): last season 1043, returning +63, transfers -18, freshmen -30
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 977 (#235) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +268 elo More โ†’ 976 (#196) HCA +268 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +17.4 More โ†’ +8.0 (#54) HCA +17.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +16.1 More โ†’ +7.4 (#50) HCA +16.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.461 (#124) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.4 More โ†’ 0.461 (#124) NetEff -1.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.5 More โ†’ 0.487 (#124) AdjNet -0.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.4 More โ†’ 0.487 (#124) AdjNet -0.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.7 | AdjD 63.6 More โ†’ 0.615 (#49) AdjO 68.7 | AdjD 63.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.7 | AdjD 63.6 More โ†’ 0.615 (#52) AdjO 68.7 | AdjD 63.6
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 โ†’ 0.540 (#97) 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 โ†’ 0.540 (#97) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 218 | GP 1 More โ†’ 904 (#173) RD 218 | GP 1

2027 Schedule & Results

Date Vs/At Opponent Result Score
2026-11-02 @ Hawai'i Rainbow Warriors L 73 - 74
2026-11-07 vs Portland State Vikings - Preview

2027 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Will Heimbrodt Will Heimbrodt F 1 34.0 20.0 4.0 3.0 1.0 2.0 4.0 11.0 15.0 - - - - 63.6 0.0 75.0 - 68.9 63.6
Mason Williams Mason Williams G 1 32.0 20.0 3.0 2.0 1.0 0.0 2.0 15.0 9.0 - - - - 46.7 37.5 100.0 - 61.3 56.7
Halvine Dzellat Halvine Dzellat C 1 28.0 10.0 10.0 0.0 1.0 0.0 1.0 6.0 14.0 - - - - 66.7 0 66.7 - 68.3 66.7
Tyler Boston Tyler Boston G 1 27.0 8.0 3.0 6.0 1.0 0.0 3.0 9.0 6.0 - - - - 44.4 0.0 0 - 44.4 44.4
Jun Seok Yeo Jun Seok Yeo F 1 25.0 6.0 0.0 0.0 1.0 0.0 3.0 5.0 -1.0 - - - - 40.0 33.3 50.0 - 51.0 50.0
Ray Adams Ray Adams F 1 16.0 3.0 4.0 0.0 1.0 1.0 0.0 1.0 8.0 - - - - 100.0 100.0 0 - 150.0 150.0
Maleek Arington Maleek Arington G 1 19.0 3.0 2.0 0.0 2.0 0.0 0.0 3.0 4.0 - - - - 33.3 100.0 0.0 - 43.6 50.0
Jaden Bailes Jaden Bailes G 1 4.0 3.0 0.0 0.0 0.0 0.0 3.0 1.0 -1.0 - - - - 100.0 100.0 0 - 150.0 150.0
Jeremiah Harshman Jeremiah Harshman G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Yuto Kawashima Yuto Kawashima F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Ladji Coulibaly Ladji Coulibaly C 1 9.0 0.0 1.0 0.0 1.0 0.0 3.0 1.0 -2.0 - - - - 0.0 0 0 - 0.0 0.0
Kaden Hansen Kaden Hansen G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Amare Larane Amare Larane G 1 6.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 -3.0 - - - - 0.0 0 0 - 0.0 0.0
Shaun Stinson Shaun Stinson G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Tomas Thrastarson Tomas Thrastarson G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
JT White JT White G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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

Every program's alumni →

Former Seattle U players in G League 2025-2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Seattle U 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 Last game Last 30 days
Terrell Brown Jr. 2018-20 G League Greensboro Swarm 36 25.3 11.2 4.0 6.5 04-10 10 pts, 6 reb, 10 ast Playoffs no games
Schumacher, Alex 2022-24 G League Long Island Nets (2 teams) 27 18.7 8.0 2.6 2.9 03-28 6 pts, 3 reb, 5 ast no games

Alumni around the leagues: recent games

Date Player League Team Opponent MIN PTS REB AST Box
2026-04-10 Terrell Brown Jr. G League Playoffs Greensboro Swarm @ Stockton Kings 31 10 6 10 Box
2026-04-08 Terrell Brown Jr. G League Playoffs Greensboro Swarm vs Stockton Kings 23 18 5 2 Box
2026-04-05 Terrell Brown Jr. G League Playoffs Greensboro Swarm @ Osceola Magic 26 24 4 5 Box
2026-03-28 Schumacher, Alex G League Long Island Nets @ Cleveland Charge 28 6 3 5 Box
2026-03-25 Schumacher, Alex G League Long Island Nets vs Delaware Blue Coats 36 15 4 6 Box
2026-03-24 Schumacher, Alex G League Long Island Nets vs Westchester Knicks 31 18 4 6 Box

2026-2027 Shot Zones

54 located field-goal attempts in 1 game (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).

Dzellat33% Heimbrodt45% Boston67% Arington100% Bailes100% Williams100% Yeo100% Williams50%
Points: who the team's points here most likely come from
Larane17% Boston30% Boston100% Yeo100% Williams100% Yeo50% Yeo50% Williams75%
Misses: who misses most here

Mason WilliamsWill HeimbrodtHalvine DzellatTyler BostonJun Seok YeoJaden BailesMaleek AringtonAmare Larane

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 6-12 50.0 12 Halvine Dzellat 33% (4 pts) Mason Williams 33% (4 pts) Amare Larane 17% (1 misses) Halvine Dzellat 17% (1 misses)
Paint (non-RA) 11-21 52.4 22 Will Heimbrodt 45% (10 pts) Halvine Dzellat 18% (4 pts) Tyler Boston 30% (3 misses) Mason Williams 20% (2 misses)
Mid-range left 3-4 75.0 6 Tyler Boston 67% (4 pts) Mason Williams 33% (2 pts) Tyler Boston 100% (1 misses) -
Mid-range center 0-1 0.0 0 - - Jun Seok Yeo 100% (1 misses) -
Mid-range right 0-0 - 0 - - - -
Left corner 3 1-1 100.0 3 Maleek Arington 100% (3 pts) - - -
Right corner 3 1-2 50.0 3 Jaden Bailes 100% (3 pts) - Mason Williams 100% (1 misses) -
Above-break 3 left 2-4 50.0 6 Mason Williams 100% (6 pts) - Jun Seok Yeo 50% (1 misses) Will Heimbrodt 50% (1 misses)
Above-break 3 center 1-3 33.3 3 Jun Seok Yeo 100% (3 pts) - Jun Seok Yeo 50% (1 misses) Mason Williams 50% (1 misses)
Above-break 3 right 2-6 33.3 6 Mason Williams 50% (3 pts) Ray Adams 50% (3 pts) Mason Williams 75% (3 misses) Tyler Boston 25% (1 misses)