Teams › Big Ten · Compare Maryland with another team
Maryland
Maryland returns 21% of last season's minutes and rates #64 on offense and #77 on defense of 365 teams. 80% range: +2.5 to +16.9.
Why we have them here
Maryland's preseason projection of +9.7 (No. 64 of 365) starts from the roster: its players' ratings, weighted by projected minutes, add up to a roll-up worth +6.8, more than the +5.9 typical of teams ranked near it. Last season's rating (No. 207 at the end of 2025-26) adds -0.3, less than its neighbours' +1.3; the program's level two and three seasons back and the roster's experience and shape add +2.7. It returns 21% of last season's minutes, less than teams ranked near it (31%). The projection leans most on Tomislav Buljan (+4.2), Andre Mills (+3.1) and Bishop Boswell (+2.8); the newcomer who matters most is Tomislav Buljan, a transfer from New Mexico, at +4.2. Its 80% range, +2.5 to +16.9, 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 19% · Transfer 58% · Freshman 19% · Other newcomer 5%
| Rank | Player | Pos | Ht | D1 yrs | Group | From | MPG | Rating | Contrib. |
|---|---|---|---|---|---|---|---|---|---|
| 81 | Tomislav Buljan | F | 6-9 | 1 | Transfer | New Mexico | 22 | +7.5 | +4.2 |
| 207 | Andre Mills | G | 6-4 | 1 | Returning | Maryland | 24 | +5.2 | +3.1 |
| 238 | Bishop Boswell | G | 6-4 | 2 | Transfer | Tennessee | 21 | +5.3 | +2.8 |
| 474 | Baba Oladotun | F | 6-10 | 0 | Freshman | High school | 17 | +3.9 | +1.7 |
| 524 | Mike McNair | F | 6-5 | 1 | Transfer | Boston University | 26 | +2.9 | +1.9 |
| 579 | D.J. Wagner | G | 6-4 | 3 | Transfer | Arkansas | 18 | +3.2 | +1.5 |
| 1297 | Kaden House | G | 6-3 | 0 | Freshman | High school | 8 | +0.9 | +0.2 |
| 1463 | Maban Jabriel | F | 6-9 | 2 | Transfer | Queens University | 14 | +0.3 | +0.1 |
| 1929 | Adama Tambedou | F | 6-7 | 0 | Freshman | High school | 7 | -0.5 | -0.1 |
| 2243 | Robert Jennings II | F | 6-7 | 4 | Transfer | Oklahoma State | 7 | -0.9 | -0.2 |
| 2569 | Lukas Sotell | F | 6-3 | 3 | Other newcomer | 4 | -1.7 | -0.2 | |
| 2647 | Austin Brown | F | 6-8 | 0 | Freshman | High school | 6 | -1.5 | -0.2 |
| 3241 | Alex K'Medehouto | F | 7-0 | 0 | Other newcomer | 5 | -2.2 | -0.3 | |
| 3865 | George Turkson Jr. | G | 6-7 | 1 | Returning | Maryland | 7 | -2.4 | -0.5 |
| 3971 | Guillermo Del Pino | G | 6-5 | 1 | Returning | Maryland | 6 | -2.8 | -0.4 |
| 4246 | Jordan Williams | G | 6-2 | 3 | Transfer | Rice | 5 | -3.5 | -0.5 |
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
| Date | Opponent | Proj. margin | Win prob. | ||
|---|---|---|---|---|---|
| Mon Nov 02 | vs |  Bucknell #313 | +18.3 | 93% | |
| Sat Nov 07 | at |  Georgetown #84 | -3.8 | 38% | |
| Fri Nov 13 | vs |  Virginia #19 | +0.4 | 51% | |
| Mon Nov 16 | vs |  Alcorn State #358 | +22.5 | 97% | |
| Fri Nov 20 | vs |  Wagner #291 | +17.2 | 92% | |
| Tue Nov 24 | N |  Tennessee #13 | -7.1 | 28% | |
| Wed Dec 02 | vs |  American University #188 | +13.6 | 87% | |
| Sun Dec 06 | at |  Ohio State #27 | conf | -7.4 | 27% |
| Wed Dec 09 | vs |  Michigan State #6 | conf | -5.3 | 33% |
| Tue Dec 15 | vs |  Morgan State #348 | +21.6 | 96% | |
| Sat Dec 19 | vs |  South Carolina #98 | +9.3 | 77% | |
| Tue Dec 29 | vs |  Radford #241 | +16.2 | 90% | |
| Sat Jan 02 | vs |  UCLA #28 | conf | -0.6 | 48% |
| Tue Jan 05 | vs |  USC #35 | conf | +0.4 | 51% |
| Sat Jan 09 | at |  Iowa #33 | conf | -6.7 | 29% |
| Tue Jan 12 | at |  Indiana #55 | conf | -4.9 | 34% |
| Sat Jan 16 | vs |  Illinois #5 | conf | -5.7 | 32% |
| Tue Jan 19 | vs |  Rutgers #102 | conf | +6.6 | 70% |
| Sat Jan 23 | at |  Purdue #38 | conf | -5.6 | 32% |
| Tue Jan 26 | vs |  Wisconsin #34 | conf | +0.2 | 51% |
| Sat Jan 30 | at |  Penn State #89 | conf | -1.6 | 45% |
| Tue Feb 02 | at | Michigan State #6 | conf | -12.1 | 16% |
| Tue Feb 09 | vs |  Nebraska #12 | conf | -4.0 | 37% |
| Sat Feb 13 | vs | Indiana #55 | conf | +2.3 | 57% |
| Wed Feb 17 | at |  Oregon #58 | conf | -3.3 | 39% |
| Sat Feb 20 | at |  Washington #92 | conf | -0.4 | 49% |
| Wed Feb 24 | vs |  Minnesota #65 | conf | +3.2 | 61% |
| Sun Feb 28 | at | Rutgers #102 | conf | +0.4 | 51% |
| Thu Mar 04 | at |  Michigan #11 | conf | -10.8 | 19% |
| Sun Mar 07 | vs |  Northwestern #79 | conf | +4.5 | 64% |
Projected margin is from Maryland'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.