Towson Tigers vs Utah Utes basketball final score
Thu, Nov 5 · 9:00 PM ET · Jon M. Huntsman Center, Salt Lake City, UT
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 Utah. Our total joins once both teams have played 3 games.
Pace & total
possessions per 40 minutesProjected possessions: 66.8, from each team's opponent-adjusted tempo. On raw season pace, Towson is the faster team (73.4, #97 of 365) and Utah the slower (65.8, #255). 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 | 44.0%#241 | 45.0%#53 | 58.7% |
| Short 2 (≤9 ft) | 50.0%#59 | 0.0%#1 | 36.5% |
| Mid 2 (10 ft+) | 33.3%#125 | 40.0%#167 | 35.6% |
| Three | 28.0%#187 | 40.0%#225 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 65.5%#97 | 44.4%#48 | 58.7% |
| Short 2 (≤9 ft) | 100.0%#1 | 66.7%#228 | 36.5% |
| Mid 2 (10 ft+) | 25.0%#175 | 50.0%#198 | 35.6% |
| Three | 29.4%#174 | 42.4%#245 | 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 lineTowson has more extra scoring chances per game: +3.8 (#107 of 365) to Utah’s −0.1 (#144).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | G | Sr | 6'6" | 4-4 | 29.3 | 13.3 | 5.0 | 0.5 | 3.3 | 45.8% | 40.0% | 3.8 | 75.0% | 33.5% | |
| 24 | G | So | 6'7" | 4-4 | 28.8 | 13.0 | 6.8 | 0.8 | 1.5 | 61.5% | 57.1% | 3.5 | 30.8% | 26.2% | |
| 11 | G | So | 6'5" | 4-4 | 27.3 | 14.0 | 1.5 | 2.3 | 1.3 | 54.4% | 27.8% | 4.5 | 58.3% | 30.3% | |
| 2 | G | So | 6'4" | 4-4 | 26.8 | 8.5 | 3.0 | 4.3 | 1.0 | 53.8% | 25.0% | 2.0 | 54.5% | 19.5% | |
| 23 | F | Jr | 6'10" | 4-4 | 18.5 | 4.8 | 4.5 | 0.3 | 0.3 | 70.0% | — | 0.0 | 45.5% | 12.9% | |
| 5 | G | Fr | 6'3" | 4-0 | 18.5 | 7.5 | 2.3 | 1.0 | 1.5 | 50.0% | 33.3% | 1.5 | 66.7% | 26.6% | |
| 13 | G | So | 6'8" | 4-0 | 17.8 | 4.5 | 5.8 | 0.8 | 0.3 | 37.5% | 0.0% | 0.8 | 42.9% | 19.5% | |
| 12 | F | Jr | 6'10" | 4-0 | 13.8 | 3.5 | 4.5 | 0.5 | 1.5 | 50.0% | 100.0% | 0.5 | — | 21.3% | |
| 30 | F | Fr | 6'9" | 4-0 | 7.5 | 0.5 | 1.8 | 0.0 | 1.0 | 33.3% | — | 0.0 | 0.0% | 15.8% | |
| 3 | G | Fr | 6'5" | 4-0 | 5.3 | 0.5 | 0.0 | 0.0 | 0.0 | 16.7% | 0.0% | 0.8 | — | 16.5% | |
| 4 | F | Fr | 6'5" | 3-0 | 3.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0% | 0.0% | 0.3 | — | 6.5% | |
| 0 | G | Fr | 6'1" | 3-0 | 2.3 | 1.0 | 0.3 | 0.0 | 0.7 | 25.0% | 0.0% | 0.3 | 33.3% | 61.9% | |
| 22 | G | Sr | 6'5" | 2-0 | 3.0 | 0.0 | 0.5 | 0.0 | 0.5 | — | — | 0.0 | — | 9.8% | |
| 15 | G | Fr | 6'8" | 2-0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% |
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 | Santa Clara | A | L 70–89 | +13.5 | L−5.5 | 146.5 | O159 | 95.4 | 121.3 | 73.4 |
| Mar 9 | Hofstra | N | L 65–68 OT | +4.0 | W+1.0 | 131.5 | O133 | 106.8 | 111.7 | 60.9 |
| Mar 8 | Charleston | N | W 81–56 | +2.5 | W+27.5 | 139.0 | U137 | 134.0 | 92.7 | 60.4 |
| Mar 7 | Hampton | N | W 74–68 | −7.5 | L−1.5 | 132.0 | O142 | 108.9 | 100.1 | 67.9 |
| Mar 3 | Stony Brook | A | W 69–57 | −1.0 | W+11.0 | 135.5 | U126 | 112.7 | 93.1 | 61.2 |
| Feb 28 | Campbell | H | W 71–67 | −5.0 | L−1.0 | 141.5 | U138 | 120.0 | 113.2 | 59.2 |
| Feb 26 | Elon | H | W 58–56 | −5.5 | L−3.5 | 144.0 | U114 | 94.1 | 90.9 | 61.6 |
| Feb 22 | Drexel | A | L 62–68 | −2.5 | L−8.5 | 131.0 | U130 | 93.9 | 102.9 | 66.1 |
| Feb 15 | Monmouth | A | L 71–72 | +1.0 | P0.0 | 137.5 | O143 | 109.1 | 110.7 | 65.0 |
| Feb 12 | Stony Brook | H | W 69–57 | −6.5 | W+5.5 | 135.0 | U126 | 108.8 | 89.9 | 63.4 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 2 | Long Beach St | H | W 66–63 | −19.5 | L−16.5 | 146.5 | U129 | 100.3 | 95.8 | 65.8 |
| Mar 10 | Cincinnati | N | L 66–73 | +12.0 | W+5.0 | 137.5 | O139 | 100.6 | 111.3 | 65.6 |
| Mar 7 | Baylor | A | L 75–101 | +12.0 | L−14.0 | 148.5 | O176 | 118.7 | 159.9 | 63.2 |
| Mar 3 | Colorado | H | L 78–92 | +1.0 | L−13.0 | 148.5 | O170 | 122.0 | 143.9 | 63.9 |
| Feb 28 | Arizona St | A | L 60–73 | +7.0 | L−6.0 | 150.5 | U133 | 102.6 | 124.8 | 58.5 |
| Feb 24 | #4Iowa State | H | L 59–75 | +14.0 | L−2.0 | 144.5 | U134 | 86.7 | 110.2 | 68.1 |
| Feb 21 | UCF | H | L 71–73 | −1.0 | L−3.0 | 153.0 | U144 | 114.0 | 117.2 | 62.3 |
| Feb 18 | West Virginia | A | W 61–56 | +10.5 | W+15.5 | 134.0 | U117 | 99.9 | 91.7 | 61.0 |
| Feb 15 | Cincinnati | A | L 65–69 | +12.5 | W+8.5 | 139.0 | U134 | 101.9 | 108.2 | 63.8 |
| Feb 10 | #3Houston | H | L 52–66 | +17.0 | W+3.0 | 142.5 | U118 | 88.6 | 112.4 | 58.7 |
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- Dylan Williamson 35.9 mpg, 14.6 ppg · transferred to Rhode Island
- Tyler Tejada 33.4 mpg, 16.7 ppg · transferred to Cincinnati
- Jack Doumbia Jr. 22.5 mpg, 10.1 ppg · not on a D1 roster yet
- Tyler Coleman 18.8 mpg, 5.0 ppg · not on a D1 roster yet
- Mor Seck 14.5 mpg, 3.2 ppg · not on a D1 roster yet
- Tyler Schmidt 13.2 mpg, 2.9 ppg · not on a D1 roster yet
- Ben Roseborough from San José St · 9.2 mpg, 4.0 ppg last season
- Denis Badalau from Rutgers · 8.8 mpg, 2.2 ppg last season
- Zion Stanford from Villanova · 1.5 mpg, 0.4 ppg last season
- Alex Atkinson no D1 minutes last season
- Jon Barton no D1 minutes last season
- Jaylin Williams Crawford no D1 minutes last season
Returns 26% 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).
- Terrence Brown 31.5 mpg, 19.9 ppg · transferred to North Carolina
- Don McHenry 30.8 mpg, 17.0 ppg · not on a D1 roster yet
- Keanu Dawes 30.7 mpg, 12.5 ppg · transferred to Kansas
- Seydou Traore 27.8 mpg, 8.7 ppg · transferred to West Virginia
- Kendyl Sanders 20.1 mpg, 5.2 ppg · transferred to Mississippi St
- James Okonkwo 19.6 mpg, 2.6 ppg · not on a D1 roster yet
- Trey Campbell from Northern Iowa · 33.5 mpg, 13.7 ppg last season
- Jackson Holcombe from Utah Valley · 30.1 mpg, 16.0 ppg last season
- Malek Gomma from Weber St · 25.1 mpg, 8.0 ppg last season
- TJ Burch from Wright St · 24.0 mpg, 12.1 ppg last season
- Taison Chatman from Ohio State · 10.6 mpg, 3.6 ppg last season
- Grayson Gaddis from Montana St · 0.5 mpg, 0.3 ppg last season
Returns 8% of last season's minutes; lost 5 of its top 5 (4 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 | -10.5→-8.5-108 | 141.5→137.5o-105 u-115 | -455 | +350 |
| FanDuel | -10.5→-7.5-120 | 140.5→136.5o-115 u-105 | -365 | +285 |
| BetMGM | -10.5→-8.5-110 | 141.5→137.5o-105 u-115 | -425 | +320 |
| BetRivers | -10.5→-8.5-107 | 141.5→136.5o-113 u-110 | -435 | +310 |
| Caesars | -10.5→-8.5-110 | 140.5→137o-110 u-110 | — | — |
| Fanatics | -11→-8.5-110 | 140.5→137o-110 u-110 | -450 | +340 |
| BetOnline | -11.5→-8.5-110 | 140→137o-110 u-110 | -435 | +340 |
| Bovada | -10→-8.5-105 | 141.5→137o-110 u-110 | -470 | +345 |
| theScore Bet | -10.5→-8.5-110 | 140.5→137.5o-105 u-115 | -450 | +340 |
| Hard Rock | -10.5→-8.5-105 | 141.5→136.5o-110 u-110 | -425 | +300 |
| Kalshi | -10.5→-7.5-122 | 141.5→136.5o-108 u+104 | -376 | +376 |
| Polymarket | -8.5+100 | 137.5o+104 u-108 | -400 | +376 |
| Novig | -10.5→— | 140.5→136.5o-104 u+102 | -376 | +365 |
Head-to-head
this season and lastMore games on Thu, Nov 5
- McNeese at North Texas · 5:00 PM ET
- Wake Forest at Vanderbilt · 6:00 PM ET
- Bellarmine at Indiana · 6:00 PM ET
- Chattanooga at Penn State · 6:00 PM ET
- Long Island at Seton Hall · 6:30 PM ET
- Buffalo at Pitt · 7:00 PM ET
- C Connecticut at Syracuse · 7:00 PM ET
- Binghamton at Saint Peter's · 7:00 PM ET
- Chicago St at Incarnate Word · 7:00 PM ET
- Mercyhurst at Notre Dame · 7:00 PM ET
- Mercer at Virginia Tech · 7:00 PM ET
- Vermont at Fairfield · 7:00 PM ET
- NJIT at Iona · 7:00 PM ET
- UMBC at Marist · 7:00 PM ET
- Delaware St at Navy · 7:00 PM ET
- UAlbany at Manhattan · 7:00 PM ET
- UMass Lowell at Merrimack · 7:00 PM ET
- Bryant at Quinnipiac · 7:00 PM ET
- New Hampshire at Rider · 7:00 PM ET
- Maine at Sacred Heart · 7:00 PM ET
- Green Bay at Cincinnati · 7:00 PM ET
- Cornell at Lehigh · 7:00 PM ET
- Hofstra at Princeton · 7:00 PM ET
- Howard at Alcorn St · 7:00 PM ET
- Georgia St at Charlotte · 7:00 PM ET
- N'Western St at Mississippi St · 7:30 PM ET
- Stonehill at Fordham · 7:30 PM ET
- Jackson St at Tulane · 7:30 PM ET
- Jacksonville at Florida · 8:00 PM ET
- Gardner-Webb at Texas · 8:00 PM ET
- Le Moyne at Creighton · 8:00 PM ET
- Coastal at Duke · 8:00 PM ET
- West Georgia at Loyola Chicago · 8:00 PM ET
- VMI at SMU · 8:00 PM ET
- N Illinois at Tulsa · 8:00 PM ET
- East Texas A&M at Rice · 8:00 PM ET
- Toledo at Michigan St · 8:00 PM ET
- Jax State at South Alabama · 8:00 PM ET
- South Florida at DePaul · 8:30 PM ET
- Penn at Illinois · 8:30 PM ET
- Bethune at Texas Tech · 9:00 PM ET
- Cal Poly at Arizona · 10:30 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.