Roster Math

Teams › Big Ten · Compare Washington with another team

Washington

Washington returns 41% of last season's minutes and rates #70 on offense and #132 on defense of 365 teams. 80% range: -0.8 to +14.1.

+6.6
Rating · #92 of 365
+5.4
Offense · #70
+1.2
Defense · #132
-0.8 to +14.1
80% range
2%
Chance of top 25
0%
Chance of No. 1
13-16
Projected record · 8 to 18 wins
7-13
Projected in Big Ten · 3 to 11 wins

Why we have them here

Washington's preseason projection of +6.6 (No. 92 of 365) starts from the roster: its players' ratings, weighted by projected minutes, add up to a roll-up worth +3.1, about the +3.5 typical of teams ranked near it. Last season's rating (No. 61 at the end of 2025-26) adds +1.8, about its neighbours' +1.1; the program's level two and three seasons back and the roster's experience and shape add +1.3. It returns 41% of last season's minutes, about the same as teams ranked near it (41%). The projection leans most on Ryan Beasley (+2.2), Wesley Yates III (+2.0) and LeJuan Watts (+1.8); the newcomer who matters most is Ryan Beasley, a transfer from San Francisco, at +2.2. Its 80% range, -0.8 to +14.1, is about as wide as that of teams ranked near it.

Generated from the published projection's own terms, not written by hand. "Teams ranked near it" are the thirty nearest in the preseason order. Preseason projection frozen 2026-10-23; how the projection is built.

Roster

Returning 41% · Transfer 51% · Freshman 4%

Ryan Beasley+2.2
Wesley Yates III+2.0
LeJuan Watts+1.8
Steele Venters+0.9
Jasir Rencher+0.3
Parker Friedrichsen+0.2
Bryson Tucker+0.0
BJ Roy-0.1
Lattimore Ford-0.2
Nikola Dzepina-0.2
Lathan Sommerville-0.3
Harun Zrno-0.3
RankPlayerPosHtD1 yrsGroupFromMPGRatingContrib.
453Ryan BeasleyG5-113TransferSan Francisco27+3.3+2.2
511Wesley Yates IIIG6-42ReturningWashington27+3.0+2.0
527LeJuan WattsF6-63TransferTexas Tech24+3.1+1.8
826Steele VentersG6-76TransferGonzaga15+2.4+0.9
1255Jasir RencherF6-51ReturningWashington11+0.9+0.3
1361Parker FriedrichsenG6-43TransferDavidson21+0.4+0.2
1630Bryson TuckerF6-72ReturningWashington18+0.0+0.0
1954BJ RoyG6-21ReturningWashington5-0.6-0.1
2374Nikola DzepinaF6-101ReturningWashington9-0.9-0.2
2397Lattimore FordF6-60FreshmanHigh school8-1.0-0.2
2496Lathan SommervilleC6-102ReturningWashington12-0.9-0.3
2538Harun ZrnoG6-71TransferRutgers16-0.8-0.3

A player's rating is points per 100 possessions better than an average Division I player while he is on the floor. Contribution weights it by the share of a rotation slot he is projected to play, so a star on the bench and a role player who never sits both read right. Rank is among all 5,249 rated players. MPG is the projected share of a rotation slot times 40. "From" is last season's team. The bars are contribution, the player's rating times his projected share; their sum is the roll-up the projection starts from.

Schedule

DateOpponentProj. marginWin prob.
Mon Nov 02vsColgate #197+11.482%
Mon Nov 09vsMississippi Valley State #365+28.199%
Sat Nov 14atUtah #72-9.023%
Thu Nov 19vsUtah Tech #275+13.987%
Mon Nov 23NBYU #23-8.225%
Sun Nov 29vsNorfolk State #300+14.989%
Wed Dec 02atUSC #35conf-8.625%
Tue Dec 08vsSouthern Utah #292+15.189%
Sun Dec 13vsUCLA #28conf-3.638%
Sat Dec 19vsBaylor #37+0.752%
Mon Dec 28vsCornell #109+7.974%
Sat Jan 02atMichigan #11conf-13.314%
Tue Jan 05atMichigan State #6conf-14.412%
Sat Jan 09vsIndiana #55conf-0.848%
Wed Jan 13vsNebraska #12conf-7.128%
Sat Jan 16atUCLA #28conf-9.821%
Wed Jan 20vsNorthwestern #79conf+1.655%
Sat Jan 23atWisconsin #34conf-9.223%
Tue Jan 26atMinnesota #65conf-5.333%
Sat Jan 30vsRutgers #102conf+3.662%
Sun Feb 07atOregon #58conf-5.533%
Wed Feb 10vsUSC #35conf-2.941%
Sun Feb 14atOhio State #27conf-9.722%
Wed Feb 17atPenn State #89conf-3.838%
Sat Feb 20vsMaryland #64conf+0.451%
Tue Feb 23vsIllinois #5conf-8.824%
Sat Feb 27vsPurdue #38conf-2.243%
Tue Mar 02atIowa #33conf-8.823%
Sat Mar 06vsOregon #58conf-0.249%

Projected margin is from Washington's side, with home court where the game is not neutral (N). Games are the schedule as posted; tournaments and late additions appear as they are listed. Predictions are as of 2026-10-26 and reflect the roster as the model has it on that date.