Mississippi Valley State Delta Devils vs Washington Huskies basketball final score
Mon, Nov 9 · 10:00 PM ET · Alaska Airlines Arena, Seattle, WA
Our play
How our line is built
each step, from an even game to our lineSteps are rounded to one decimal, so they can differ from the line by 0.1. The spread is seen from the home side: a plus moves it toward Washington. Our total joins once both teams have played 3 games.
Pace & total
possessions per 40 minutesProjected possessions: 70.7, from each team's opponent-adjusted tempo. On raw season pace, Washington is the faster team (71.7, #152 of 365) and Miss Valley St the slower (68.7, #243). 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 | 68.8%#66 | 60.0%#191 | 58.1% |
| Short 2 (≤9 ft) | 50.0%#76 | 22.2%#75 | 38.5% |
| Mid 2 (10 ft+) | 10.0%#313 | 66.7%#335 | 34.4% |
| Three | 16.7%#350 | 31.8%#163 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 53.8%#235 | 60.0%#191 | 58.1% |
| Short 2 (≤9 ft) | 77.8%#18 | — | 38.5% |
| Mid 2 (10 ft+) | 0.0%#320 | 0.0%#1 | 34.4% |
| Three | 35.7%#125 | 32.5%#180 | 32.5% |
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 lineWashington has more extra scoring chances per game: +5.6 (#97 of 365) to Miss Valley St’s −4.4 (#244).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7 | F | Sr | 6'7" | 2-2 | 35.5 | 13.0 | 8.5 | 2.0 | 1.5 | 41.3% | 12.5% | 4.0 | 77.8% | 25.5% | |
| 21 | PF | Jr | 6'10" | 2-2 | 32.5 | 10.0 | 4.0 | 0.5 | 0.5 | 50.0% | 30.0% | 5.0 | 100.0% | 17.8% | |
| 5 | G | Jr | 6'2" | 2-1 | 27.5 | 13.0 | 3.5 | 2.0 | 3.0 | 47.4% | 66.7% | 1.5 | 80.0% | 32.3% | |
| 8 | G | So | 6'5" | 2-2 | 25.5 | 3.0 | 3.5 | 0.5 | 2.5 | 37.5% | 0.0% | 0.5 | — | 15.1% | |
| 1 | PG | Jr | 5'11" | 2-1 | 25.0 | 6.5 | 0.5 | 2.5 | 2.0 | 37.5% | 28.6% | 3.5 | 100.0% | 24.4% | |
| 2 | G | Jr | 6'1" | 2-1 | 24.5 | 13.5 | 4.0 | 0.5 | 1.5 | 56.3% | 50.0% | 2.0 | 75.0% | 30.2% | |
| 20 | G | So | 6'1" | 2-1 | 18.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0% | 0.0% | 2.5 | — | 8.3% | |
| 9 | C | Fr | 7'0" | 2-0 | 12.0 | 1.5 | 1.0 | 0.0 | 1.5 | 0.0% | 0.0% | 1.0 | 75.0% | 26.8% |
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 6 | Oklahoma | A | L 57–84 | +40.5 | W+13.5 | 152.0 | U141 | 82.9 | 122.2 | 68.7 |
| Mar 9 | Grambling | N | L 52–77 | +13.5 | L−11.5 | 137.0 | U129 | 78.5 | 116.2 | 66.2 |
| Mar 5 | Jackson St | A | L 77–85 | +11.5 | W+3.5 | 145.0 | O162 | 116.7 | 128.8 | 66.0 |
| Mar 3 | Alcorn St | A | L 64–67 | +9.5 | W+6.5 | 139.0 | U131 | 99.1 | 103.7 | 64.6 |
| Feb 28 | AR-Pine Bluff | A | W 70–69 | +14.0 | W+15.0 | 147.5 | U139 | 100.4 | 99.0 | 69.7 |
| Feb 23 | Grambling | A | L 62–83 | +16.0 | L−5.0 | 137.0 | O145 | 78.6 | 105.2 | 78.9 |
| Feb 21 | Texas Southern | H | W 72–71 | +11.5 | W+12.5 | 143.5 | U143 | 105.3 | 103.8 | 68.4 |
| Feb 19 | Prairie View | H | L 62–72 | +9.0 | L−1.0 | 153.5 | U134 | 91.3 | 106.0 | 67.9 |
| Feb 16 | Alabama St | A | L 55–92 | +16.5 | L−20.5 | 143.0 | O147 | 76.1 | 127.3 | 72.3 |
| Feb 14 | Alabama A&M | A | L 65–72 | +15.5 | W+8.5 | 139.5 | U137 | 101.8 | 112.7 | 63.9 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 2 | Colgate | H | W 90–76 | −14.5 | L−0.5 | 154.5 | O166 | 125.5 | 106.0 | 71.7 |
| Mar 12 | #23Wisconsin | N | L 82–85 | +6.5 | W+3.5 | 156.5 | O167 | 124.0 | 128.5 | 66.2 |
| Mar 11 | USC | N | W 83–79 OT | −3.5 | W+0.5 | 153.0 | O162 | 102.7 | 97.8 | 80.8 |
| Mar 7 | Oregon | A | L 79–85 | −1.5 | L−7.5 | 146.0 | O164 | 120.5 | 129.7 | 65.5 |
| Mar 4 | USC | H | W 91–72 | −5.5 | W+13.5 | 151.0 | O163 | 119.7 | 94.7 | 76.0 |
| Feb 28 | Wisconsin | H | L 73–90 | +2.5 | L−14.5 | 153.5 | O163 | 103.6 | 127.7 | 70.5 |
| Feb 24 | Rutgers | A | W 79–72 | −4.5 | W+2.5 | 140.0 | O151 | 111.9 | 102.0 | 70.6 |
| Feb 21 | Maryland | A | L 60–64 | −3.0 | L−7.0 | 143.5 | U124 | 105.7 | 112.7 | 56.8 |
| Feb 14 | Minnesota | H | W 69–57 | −7.0 | W+5.0 | 138.5 | U126 | 115.1 | 95.1 | 59.9 |
| Feb 11 | Penn State | H | L 60–63 | −12.5 | L−15.5 | 153.0 | U123 | 91.7 | 96.3 | 65.4 |
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- Mike James 35.6 mpg, 20.8 ppg · transferred to Alabama St
- Patrick Punch 27.8 mpg, 7.4 ppg · not on a D1 roster yet
- Daniel Mayfield 25.0 mpg, 11.3 ppg · not on a D1 roster yet
- X'Zaevion Barnett 23.3 mpg, 3.9 ppg · not on a D1 roster yet
- Mussa Mzein 17.5 mpg, 3.3 ppg · not on a D1 roster yet
- Lamont Sams 15.4 mpg, 4.8 ppg · not on a D1 roster yet
- Tarique Foster from UAlbany · 14.0 mpg, 4.0 ppg last season
- Tory James Jr. from Bakersfield · 1.3 mpg, 0.3 ppg last season
- Harvey Wilson Jr. no D1 minutes last season
- Matt Anglo no D1 minutes last season
- Tianhao Wu no D1 minutes last season
- Qingfang Pang no D1 minutes last season
Returns 5% of last season's minutes; lost 5 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).
- Hannes Steinbach 31.4 mpg, 16.8 ppg · not on a D1 roster yet
- Quimari Peterson 30.9 mpg, 9.2 ppg · not on a D1 roster yet
- Zoom Diallo 29.6 mpg, 15.7 ppg · transferred to Kentucky
- Franck Kepnang 18.8 mpg, 5.1 ppg · transferred to Kentucky
- Bryson Tucker 14.0 mpg, 3.6 ppg · not on a D1 roster yet
- JJ Mandaquit 13.1 mpg, 3.5 ppg · transferred to Arizona
- Ryan Beasley from San Francisco · 31.2 mpg, 12.8 ppg last season
- LeJuan Watts from Texas Tech · 26.5 mpg, 11.4 ppg last season
- Parker Friedrichsen from Davidson · 25.3 mpg, 10.8 ppg last season
- Tayshawn Comer from Nevada · 25.2 mpg, 11.0 ppg last season
- Harun Zrno from Rutgers · 19.0 mpg, 6.5 ppg last season
- Steele Venters from Gonzaga · 11.6 mpg, 3.8 ppg last season
Returns 21% of last season's minutes; lost 4 of its top 5 (2 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 | -32.5→-31.5-110 | 151.5→153.5o-110 u-110 | — | — |
| FanDuel | -33.5→-31.5-118 | 151.5→153.5o-115 u-105 | — | — |
| BetMGM | -32.5→-31.5-115 | 152.5→153.5o-110 u-110 | — | — |
| BetRivers | -33.5→-31.5-113 | 151.5→153.5o-113 u-109 | — | — |
| Caesars | -32.5→-31.5-110 | 152.5→153o-110 u-110 | — | — |
| Fanatics | -33→-31.5-110 | 151.5→153o-110 u-110 | — | — |
| BetOnline | -32.5→-31-115 | 151→153.5o-110 u-110 | — | — |
| Bovada | -32.5→-31.5-110 | 151.5→153o-110 u-110 | — | — |
| theScore Bet | -32.5→-31.5-110 | 152.5→153.5o-110 u-110 | — | — |
| Hard Rock | -33.5→-31.5-110 | 151.5→153.5o-110 u-110 | — | — |
| Kalshi | — | 153.5o-104 u+100 | — | — |
| Polymarket | -33.5→-31.5-104 | 151.5→153.5o+100 u-108 | — | — |
| Novig | -33.5→-31.5-113 | 152.5→— | — | — |
Head-to-head
this season and lastMore games on Mon, Nov 9
- Marshall at Ohio State · 6:00 PM ET
- Syracuse vs Indiana · 6:30 PM ET
- Howard at Penn · 6:30 PM ET
- FGCU at Georgia · 7:00 PM ET
- Radford at Tennessee · 7:00 PM ET
- Grambling at Texas · 7:00 PM ET
- Cleveland St at Bowling Green · 7:00 PM ET
- Minnesota at Cincinnati · 7:00 PM ET
- North Dakota at Clemson · 7:00 PM ET
- Norfolk St at William & Mary · 7:00 PM ET
- SC State at Chicago St · 7:00 PM ET
- Long Island at Towson · 7:00 PM ET
- Stonehill at Columbia · 7:00 PM ET
- Wagner at UConn · 7:00 PM ET
- Kansas City at Jacksonville · 7:00 PM ET
- North Florida at Miami · 7:00 PM ET
- SC Upstate at Coastal · 7:00 PM ET
- E Illinois at Notre Dame · 7:00 PM ET
- UNC Greensboro at UIC · 7:00 PM ET
- Oakland at Alabama · 7:30 PM ET
- Jackson St at Mississippi St · 7:30 PM ET
- Florida A&M at UAB · 7:30 PM ET
- North Alabama at Oklahoma · 8:00 PM ET
- UL Monroe at Texas A&M · 8:00 PM ET
- Boston U at Northwestern · 8:00 PM ET
- Louisiana Tech at LSU · 8:00 PM ET
- SIUE at Missouri · 8:00 PM ET
- Illinois St at Purdue · 8:30 PM ET
- Alabama A&M at DePaul · 9:00 PM ET
- App State at Auburn · 9:00 PM ET
- Seton Hall vs Charlotte · 9:00 PM ET
- E Washington at Oregon St · 9:30 PM ET
- Rice at Stanford · 10:00 PM ET
- Portland at Hawai'i · 11:59 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.