Maryland Terrapins vs Georgetown Hoyas basketball final score
Sat, Nov 7 · 7:30 PM ET · Capital One Arena, Washington, DC
Our play
How our line is built
each step, from an even game to our lineThe spread is seen from the home side: a plus moves it toward Georgetown. Our total joins once both teams have played 3 games.
Pace & total
possessions per 40 minutesProjected possessions: 69.3, from each team's opponent-adjusted tempo. On raw season pace, Maryland is the faster team (71.7, #146 of 365) and Georgetown the slower (67.5, #258). When tempos clash, the slower team usually pulls the pace harder (weights 0.80 vs 0.66).
How this game plays
points this game from the four factors, vs an average D-I matchupShot diet
Where each offense shoots from and where each defense lets teams shoot| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 57.1%#178 | 55.6%#126 | 58.1% |
| Short 2 (≤9 ft) | 0.0%#271 | 0.0%#1 | 37.5% |
| Mid 2 (10 ft+) | 0.0%#291 | 20.0%#60 | 35.4% |
| Three | 25.0%#258 | 35.7%#219 | 32.3% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 68.2%#72 | 53.3%#108 | 58.1% |
| Short 2 (≤9 ft) | 0.0%#271 | 0.0%#1 | 37.5% |
| Mid 2 (10 ft+) | 50.0%#50 | 50.0%#243 | 35.4% |
| Three | 26.9%#228 | 38.7%#266 | 32.3% |
Zones from play-by-play shot descriptions; garbage time removed. Bars show the share of field-goal attempts in each zone; where a slice is too thin for its number, the shares are listed under the bar. FG% ranks: #1 = best for that side (most accurate shooting, stingiest defense).
Shot volume
Extra scoring chances from rebounds, turnovers and the foul lineMaryland has more extra scoring chances per game: +24.7 (#2 of 365) to Georgetown’s +12.9 (#40).
Grade = extra shots and foul-line trips per game compared with a D-I average team, built from six season rates. Cell shading is the national rank for each rate (greener = better for that team).
Rotation
| # | Player | Pos | Cl | Ht | GP-GS | MPG | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21 | F | Sr | 6'9" | 2-2 | 27.0 | 20.5 | 7.0 | 0.0 | 2.5 | 75.0% | 0.0% | 0.5 | 64.7% | 34.8% | |
| 2 | G | Sr | 6'4" | 2-2 | 25.5 | 10.5 | 4.5 | 3.0 | 1.5 | 39.1% | 0.0% | 4.0 | 100.0% | 30.6% | |
| 7 | G | So | 6'4" | 2-2 | 21.0 | 15.5 | 6.5 | 1.0 | 1.5 | 51.9% | 30.8% | 6.5 | 75.0% | 43.0% | |
| 20 | G | Sr | 6'5" | 2-2 | 21.0 | 3.0 | 1.5 | 1.0 | 1.0 | 60.0% | 50.0% | 2.0 | — | 9.4% | |
| 23 | F | So | 6'9" | 2-2 | 20.5 | 7.0 | 8.5 | 0.5 | 2.0 | 40.0% | — | 0.0 | 100.0% | 23.3% | |
| 8 | G | Fr | 6'3" | 2-0 | 19.5 | 13.5 | 3.5 | 1.0 | 0.5 | 53.3% | 50.0% | 2.0 | 84.6% | 32.3% | |
| 12 | G | Jr | 6'4" | 2-0 | 19.0 | 2.5 | 3.0 | 2.0 | 2.0 | 22.7% | 14.3% | 3.5 | — | 22.4% | |
| 10 | F | Fr | 6'10" | 2-0 | 18.5 | 4.5 | 3.0 | 0.5 | 0.5 | 44.4% | 0.0% | 1.0 | 16.7% | 19.7% | |
| 25 | F | Sr | 6'8" | 2-0 | 15.0 | 4.5 | 3.0 | 0.0 | 1.5 | 87.5% | 50.0% | 1.0 | 100.0% | 15.0% | |
| 1 | F | Fr | 6'8" | 2-0 | 8.5 | 1.0 | 1.5 | 1.0 | 0.0 | 0.0% | 0.0% | 2.5 | 100.0% | 26.3% | |
| 14 | F | Fr | 6'7" | 2-0 | 2.5 | 1.5 | 0.5 | 0.0 | 0.0 | 50.0% | 0.0% | 0.5 | 50.0% | 33.1% | |
| 11 | G | So | 6'7" | 1-0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 50.0% | 0.0% | 1.0 | — | 27.9% |
Trends
Results against the closing spread and total, last ten games, entering this game| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 2 | Bucknell | H | W 96–67 | −31.0 | L−2.0 | 148.0 | O163 | 133.9 | 93.5 | 71.7 |
| Mar 11 | Iowa | N | L 64–75 | +12.0 | W+1.0 | 134.5 | O139 | 97.4 | 114.1 | 65.7 |
| Mar 10 | Oregon | N | W 70–60 | +4.0 | W+14.0 | 139.0 | U130 | 111.5 | 95.6 | 62.8 |
| Mar 8 | #11Illinois | H | L 72–78 | +14.0 | W+8.0 | 145.0 | O150 | 117.6 | 127.4 | 61.2 |
| Mar 4 | Wisconsin | A | L 45–78 | +14.5 | L−18.5 | 153.5 | U123 | 77.9 | 135.0 | 57.8 |
| Mar 1 | Rutgers | H | L 65–69 | −5.0 | L−9.0 | 143.5 | U134 | 92.5 | 98.2 | 70.3 |
| Feb 25 | #12Nebraska | A | L 61–74 | +16.5 | W+3.5 | 141.0 | U135 | 95.9 | 116.4 | 63.6 |
| Feb 21 | Washington | H | W 64–60 | +3.0 | W+7.0 | 143.5 | U124 | 112.7 | 105.7 | 56.8 |
| Feb 18 | Northwestern | A | L 74–78 | +8.0 | W+4.0 | 142.5 | O152 | 112.2 | 118.3 | 65.9 |
| Feb 15 | Rutgers | A | L 57–68 | +3.0 | L−8.0 | 142.5 | U125 | 88.0 | 105.0 | 64.8 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 2 | Loyola MD | H | W 80–58 | −27.5 | L−5.5 | 154.0 | U138 | 118.5 | 85.9 | 67.5 |
| Mar 13 | #6UConn | N | L 51–67 | +14.0 | L−2.0 | 139.0 | U118 | 85.7 | 112.6 | 59.5 |
| Mar 12 | Villanova | N | W 78–64 | +6.5 | W+20.5 | 141.0 | O142 | 121.1 | 99.4 | 64.4 |
| Mar 11 | DePaul | N | W 63–56 | +5.0 | W+12.0 | 130.0 | U119 | 100.2 | 89.0 | 62.9 |
| Mar 7 | Providence | H | W 80–79 | −1.0 | P0.0 | 157.0 | O159 | 109.8 | 108.5 | 72.8 |
| Mar 3 | #18St John's | A | L 69–72 | +15.5 | W+12.5 | 148.0 | U141 | 99.2 | 103.5 | 69.6 |
| Feb 28 | Xavier | A | L 84–91 | +4.5 | L−2.5 | 154.0 | O175 | 117.6 | 127.4 | 71.4 |
| Feb 24 | Marquette | H | L 60–76 | −2.5 | L−18.5 | 150.5 | U136 | 92.0 | 116.6 | 65.2 |
| Feb 21 | Seton Hall | A | L 47–51 | +5.5 | W+1.5 | 136.0 | U98 | 74.4 | 80.8 | 63.1 |
| Feb 18 | Butler | H | L 89–93 | −6.0 | L−10.0 | 147.0 | O182 | 130.5 | 136.4 | 68.2 |
Records vs the closing line describe the past; ten games is a small sample.
Team comparison
national rank toned left for away, right for homeOffseason
roster movement into this season — descriptive, not a model input- Elijah Saunders 30.7 mpg, 9.0 ppg · not on a D1 roster yet
- David Coit 26.7 mpg, 13.5 ppg · not on a D1 roster yet
- Darius Adams 25.6 mpg, 10.8 ppg · transferred to NC State
- Solomon Washington 24.3 mpg, 7.5 ppg · not on a D1 roster yet
- Isaiah Watts 16.5 mpg, 4.2 ppg · transferred to UTSA
- Collin Metcalf 12.7 mpg, 1.2 ppg · not on a D1 roster yet
- Mike McNair Jr. from Boston U · 36.1 mpg, 16.9 ppg last season
- Tomislav Buljan from New Mexico · 24.6 mpg, 12.4 ppg last season
- Bishop Boswell from Tennessee · 24.3 mpg, 5.7 ppg last season
- DJ Wagner from Arkansas · 22.3 mpg, 7.0 ppg last season
- Maban Jabriel from Queens · 19.8 mpg, 7.7 ppg last season
- Robert Jennings II from Oklahoma St · 1.1 mpg, 0.3 ppg last season
Returns 25% of last season's minutes; lost 4 of its top 5 (1 transferred). Teams returning under 40% of last season's minutes have historically fallen about 0.8 points of AdjEM (n=716 team-seasons, 2022-2026).
- Malik Mack 32.2 mpg, 13.6 ppg · transferred to Providence
- KJ Lewis 24.7 mpg, 12.2 ppg · transferred to USC
- Jeremiah Williams 20.3 mpg, 5.9 ppg · not on a D1 roster yet
- Isaiah Abraham 19.3 mpg, 4.7 ppg · transferred to Kansas St
- Julius Halaifonua 18.6 mpg, 8.9 ppg · transferred to Oklahoma St
- Jayden Fort 13.6 mpg, 3.3 ppg · transferred to Charlotte
- Vyctorius Miller from Oklahoma St · 23.3 mpg, 9.9 ppg last season
- Josiah Parker from FAU · 21.2 mpg, 9.3 ppg last season
- Chol Machot from Charleston · 19.7 mpg, 8.9 ppg last season
- Elmarko Jackson from Kansas · 17.2 mpg, 4.7 ppg last season
- Jaland Lowe from Kentucky · 4.6 mpg, 2.0 ppg last season
- Athan Olivier IV no D1 minutes last season
Returns 31% of last season's minutes; lost 4 of its top 5 (3 transferred). Teams returning under 40% of last season's minutes have historically fallen about 0.8 points of AdjEM (n=716 team-seasons, 2022-2026).
Line history
Market line, home spread or game totalLines by book
| Book | Spread (home) open → now | Total open → now | ML home | ML away |
|---|---|---|---|---|
| DraftKings | -1.5→+3.5-112 | 147.5→146.5o-110 u-110 | +136 | -162 |
| FanDuel | +1.5→+3.5-114 | 147.5→145.5o-115 u-105 | +132 | -160 |
| BetMGM | +1.5→+3.5-115 | 146.5o-110 u-110 | +135 | -160 |
| BetRivers | +3.5→+2.5-104 | 147.5→145.5o-114 u-109 | +133 | -167 |
| Caesars | +1.5→+3-110 | 147.5→146.5o-110 u-110 | +140 | -165 |
| Fanatics | -1.5→+3.5-110 | 147→146.5o-107 u-110 | +135 | -165 |
| BetOnline | 0→+3.5-110 | 146o-115 u-105 | +135 | -155 |
| Bovada | +1.5→+3.5-110 | 146.5o-110 u-110 | +140 | -165 |
| theScore Bet | -1.5→+3.5-110 | 147.5→146.5o-110 u-110 | +140 | -165 |
| Hard Rock | +3.5→+2.5+100 | 147.5→145.5o-110 u-110 | +135 | -165 |
| Kalshi | -1.5→+2.5+113 | 146.5o+100 u-104 | +138 | -150 |
| Polymarket | -1.5→+3.5-108 | 147.5→145.5o-113 u+108 | +144 | -150 |
| Novig | +2.5→— | — | +144 | -147 |
Head-to-head
this season and last| Date | Season | Result |
|---|---|---|
| Fri, Nov 7 | 2025-26 | Georgetown 70 – 60 Maryland |
More games on Sat, Nov 7
- Morehead St at Louisville · 12:00 PM ET
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- NC A&T at Ohio · 1:00 PM ET
- Lamar at Abilene Chrstn · 2:00 PM ET
- UNC Wilmington at East Carolina · 2:00 PM ET
- Fullerton at South Dakota · 2:00 PM ET
- Colgate at Drexel · 2:00 PM ET
- Toledo at Marshall · 2:00 PM ET
- VCU at Memphis · 3:00 PM ET
- NC Central at Longwood · 3:00 PM ET
- Long Beach St at Montana St · 3:00 PM ET
- San Diego St vs Colorado · 3:30 PM ET
- Long Island at La Salle · 3:30 PM ET
- Monmouth vs Rhode Island · 4:00 PM ET
- Lafayette at Saint Joseph's · 4:00 PM ET
- Samford at UNLV · 4:00 PM ET
- Oakland at Santa Barbara · 4:00 PM ET
- Omaha at Utah State · 4:00 PM ET
- Bellarmine at Miami OH · 5:00 PM ET
- Washington St at High Point · 5:00 PM ET
- SIUE at Lipscomb · 5:00 PM ET
- UT Martin at IU Indy · 5:00 PM ET
- Old Dominion at Bucknell · 5:00 PM ET
- Northern Iowa at Furman · 5:00 PM ET
- VMI at UTSA · 5:00 PM ET
- New Mexico St at Gonzaga · 5:00 PM ET
- W Carolina at UNC Asheville · 5:30 PM ET
- Prairie View at UT Rio Grande · 5:30 PM ET
- N Arizona at New Mexico · 6:00 PM ET
- Hampton at G Washington · 6:00 PM ET
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- Providence vs Nebraska · 7:00 PM ET
- N Illinois at Dayton · 7:00 PM ET
- St Bonaventure at Canisius · 7:00 PM ET
- Hou Christian vs W Illinois · 7:00 PM ET
- Mercer at Davidson · 7:00 PM ET
- Denver at UC Riverside · 7:30 PM ET
- Bethune at Grand Canyon · 8:00 PM ET
- Pacific at Bradley · 8:00 PM ET
- SE Louisiana at Little Rock · 8:00 PM ET
- S Indiana at Evansville · 8:00 PM ET
- N'Western St at Murray St · 8:00 PM ET
- Utah Valley at Weber St · 9:00 PM ET
- San José St at UC Irvine · 10:00 PM ET
- Portland St at Seattle U · 10:00 PM ET
- Sacramento St at Santa Clara · 10:00 PM ET
- Fresno St at UC San Diego · 10:00 PM ET
The CBB Matchups tab lays out the day's Division I slate: matchup, tip time, records and rank, and — once posted — the market spread and total (the median across books when no market line is up). Three views switch the table between projected scores, pace and totals, and each team's offensive and defensive tendencies. Each game opens into opponent-adjusted possessions, efficiency and four-factor tendencies for both teams, plus recent form, rotation and head-to-head history. Every game also carries our projected score, spread and total, from our line: the same view our bets are made from.
What these numbers mean: line shopping.