Hofstra Pride vs Murray State Racers basketball preview & prediction
Tue, Nov 17 · 12:00 PM ET · Landers Center, Southaven, MS (neutral site)
Our play
Pace & total
possessions per 40 minutesProjected possessions: 72.4, from each team's opponent-adjusted tempo. On raw season pace, Murray St is the faster team (78.3, #26 of 365) and Hofstra the slower (62.9, #347). 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 | 81.3%#5 | 50.0%#75 | 58.0% |
| Short 2 (≤9 ft) | 0.0%#323 | 57.1%#295 | 38.2% |
| Mid 2 (10 ft+) | 50.0%#45 | 23.1%#76 | 34.7% |
| Three | 23.5%#320 | 35.3%#235 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 62.2%#124 | 44.4%#34 | 58.0% |
| Short 2 (≤9 ft) | 25.0%#250 | 0.0%#1 | 38.2% |
| Mid 2 (10 ft+) | 44.4%#89 | 0.0%#1 | 34.7% |
| Three | 38.5%#77 | 30.0%#126 | 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 lineMurray St has more extra scoring chances per game: +8.0 (#72 of 365) to Hofstra’s −13.0 (#330).
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
Who has been playing, and who has not| # | Player | Pos | Cl | Ht | GP-GS | MPG | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | G | So | 6'2" | 2-0 | 27.5 | 10.5 | 2.5 | 4.0 | 3.0 | 47.2% | 25.0% | 2.0 | 66.7% | 28.2% | Active | |
| 4 | F | Jr | 6'8" | 2-2 | 26.0 | 8.0 | 6.0 | 1.0 | 2.0 | 59.1% | 100.0% | 0.5 | 60.0% | 19.1% | Active | |
| 1 | G | Sr | 6'3" | 2-2 | 26.0 | 8.5 | 7.0 | 4.0 | 3.0 | 34.1% | 12.5% | 4.0 | 100.0% | 33.5% | Active | |
| 25 | G | Sr | 6'6" | 2-2 | 26.0 | 12.0 | 8.0 | 0.5 | 2.5 | 63.2% | 33.3% | 3.0 | 0.0% | 28.2% | Active | |
| 3 | G | Sr | 6'4" | 2-2 | 25.0 | 12.0 | 3.0 | 1.0 | 1.5 | 60.0% | 54.5% | 5.5 | — | 26.5% | Active | |
| 15 | F | Sr | 7'0" | 2-0 | 15.5 | 8.5 | 5.0 | 0.0 | 1.0 | 100.0% | — | 0.0 | 62.5% | 22.3% | Active | |
| 12 | F | Jr | 7'0" | 2-2 | 14.5 | 5.0 | 3.0 | 0.0 | 0.0 | 100.0% | — | 0.0 | 66.7% | 10.7% | Active | |
| 5 | G | Sr | 6'2" | 2-0 | 13.0 | 5.0 | 4.0 | 0.5 | 0.5 | 50.0% | 28.6% | 3.5 | 50.0% | 23.7% | Active | |
| 9 | F | Jr | 7'0" | 2-0 | 11.0 | 1.0 | 5.0 | 0.5 | 0.0 | 50.0% | — | 0.0 | 0.0% | 7.5% | Active | |
| 20 | G | Fr | 6'4" | 1-0 | 12.0 | 8.0 | 4.0 | 0.0 | 1.0 | 50.0% | 33.3% | 6.0 | — | 39.0% | Missed last | |
| 19 | G | So | 6'6" | 1-0 | 10.0 | 4.0 | 1.0 | 0.0 | 1.0 | 33.3% | 0.0% | 2.0 | 100.0% | 25.8% | Missed last | |
| 0 | G | Fr | 6'1" | 1-0 | 6.0 | 2.0 | 0.0 | 2.0 | 0.0 | 33.3% | — | 0.0 | — | 26.0% | Missed last | |
| 23 | G | Fr | 6'2" | 1-0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% | Missed last |
Competitive minutes leave out garbage time (provisional rule: a second-half lead of 25+ inside 15:00, 20+ inside 10:00, 15+ inside 5:00 or 10+ inside 2:00, held to the end) and are shown per 40 minutes. Status says only whether a player appeared; the reason is not published.
Trends
Results against the closing spread and total, last ten games| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 5 | Princeton | A | L 58–60 | +3.0 | W+1.0 | 139.0 | U118 | 92.2 | 95.3 | 62.9 |
| Nov 2 | St. Joseph's Long Island Golden Eagles | H | W 97–51 | — | — | — | — | 125.7 | 66.1 | 77.2 |
| Mar 20 | #4Alabama | N | L 70–90 | +11.5 | L−8.5 | 159.0 | O160 | 100.4 | 129.1 | 69.7 |
| Mar 10 | Monmouth | N | W 75–69 | −4.0 | W+2.0 | 135.0 | O144 | 113.0 | 103.9 | 66.4 |
| Mar 9 | Towson | N | W 68–65 OT | −4.0 | L−1.0 | 131.5 | O133 | 111.7 | 106.8 | 60.9 |
| Mar 8 | William & Mary | N | W 92–61 | −2.5 | W+28.5 | 153.0 | P153 | 140.0 | 92.8 | 65.7 |
| Mar 3 | Drexel | H | W 62–51 | −8.5 | W+2.5 | 133.0 | U113 | 109.3 | 89.9 | 56.7 |
| Feb 28 | Stony Brook | H | W 67–58 | −11.5 | L−2.5 | 139.5 | U125 | 96.8 | 83.8 | 69.2 |
| Feb 21 | Northeastern | A | W 82–68 | −7.5 | W+6.5 | 145.0 | O150 | 128.0 | 106.1 | 64.1 |
| Feb 19 | Hampton | H | W 79–43 | −11.0 | W+25.0 | 133.5 | U122 | 129.5 | 70.5 | 61.0 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 7 | N'Western St | H | W 93–71 | −23.5 | L−1.5 | 155.5 | O164 | 128.3 | 97.9 | 72.5 |
| Nov 2 | Tennessee St | N | W 94–64 | −9.5 | W+20.5 | 165.0 | U158 | 111.6 | 76.0 | 84.2 |
| Mar 18 | Nevada | A | L 75–89 | +9.0 | L−5.0 | 160.0 | O164 | 103.8 | 123.2 | 72.2 |
| Mar 6 | UIC | N | L 79–92 | +1.0 | L−12.0 | 149.5 | O171 | 100.1 | 116.6 | 78.9 |
| Mar 1 | Bradley | A | L 78–87 | +4.0 | L−5.0 | 158.0 | O165 | 116.0 | 129.4 | 67.2 |
| Feb 21 | Evansville | H | W 88–75 | −14.0 | L−1.0 | 153.0 | O163 | 122.1 | 104.0 | 72.1 |
| Feb 18 | Illinois St | A | L 61–78 | +2.5 | L−14.5 | 158.5 | U139 | 93.9 | 120.1 | 64.9 |
| Feb 15 | Belmont | H | L 70–87 | +1.0 | L−16.0 | 166.5 | U157 | 95.6 | 118.8 | 73.2 |
| Feb 12 | Indiana St | A | W 74–72 | −3.5 | L−1.5 | 164.0 | U146 | 114.0 | 110.9 | 64.9 |
| Feb 9 | Northern Iowa | H | L 60–89 | −4.0 | L−33.0 | 145.0 | O149 | 91.8 | 136.2 | 65.3 |
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- Cruz Davis 37.9 mpg, 20.1 ppg · transferred to Texas Tech
- Preston Edmead 33.9 mpg, 16.1 ppg · transferred to NC State
- German Plotnikov 30.4 mpg, 8.8 ppg · not on a D1 roster yet
- Silas Sunday 19.7 mpg, 5.1 ppg · not on a D1 roster yet
- Biggie Patterson 18.5 mpg, 8.5 ppg · not on a D1 roster yet
- Victory Onuetu 17.9 mpg, 4.7 ppg · transferred to Wisconsin
- Deywilk Tavarez from Loyola Chicago · 22.9 mpg, 8.9 ppg last season
- Justin Moore from Loyola Chicago · 20.0 mpg, 7.3 ppg last season
- Spence Wewe from Quinnipiac · 16.5 mpg, 2.6 ppg last season
- Imanuel Zorgvol from Youngstown St · 14.7 mpg, 5.7 ppg last season
- Benjamin Onwughai no D1 minutes last season
- Anthony Stennett no D1 minutes last season
Returns 11% 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).
- Javon Jackson 25.6 mpg, 16.5 ppg · not on a D1 roster yet
- Fredrick King 24.0 mpg, 12.7 ppg · transferred to Creighton
- Layne Taylor 23.2 mpg, 7.5 ppg · transferred to Arkansas St
- Mason Miller 22.1 mpg, 5.7 ppg · not on a D1 roster yet
- JJ Traynor 21.9 mpg, 7.2 ppg · not on a D1 roster yet
- KJ Tenner 16.5 mpg, 6.0 ppg · transferred to UTSA
- Christian Jones from G Washington · 25.6 mpg, 9.7 ppg last season
- Shon Tupuola from Valparaiso · 24.6 mpg, 6.4 ppg last season
- Brigham Rogers from Belmont · 18.2 mpg, 7.1 ppg last season
- Kaden Magwood from Auburn · 5.6 mpg, 1.9 ppg last season
- Mark Padjen no D1 minutes last season
- Lachlan Crate no D1 minutes last season
Returns 28% 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).
Head-to-head
this season and lastMore games on Tue, Nov 17
- Rutgers vs Houston · 2:00 PM ET
- Notre Dame vs Florida · 4:30 PM ET
- Marist at Army · 6:00 PM ET
- Liberty vs S Illinois · 6:00 PM ET
- Saint Peter's at UMass Lowell · 6:00 PM ET
- Lipscomb at Purdue · 6:30 PM ET
- W Carolina at Butler · 7:00 PM ET
- Sacred Heart at Providence · 7:00 PM ET
- Cleveland St at Xavier · 7:00 PM ET
- Illinois at Duke · 7:00 PM ET
- Ball State at Florida St · 7:00 PM ET
- Villanova at Pitt · 7:00 PM ET
- Monmouth at Wake Forest · 7:00 PM ET
- Bowling Green at William & Mary · 7:00 PM ET
- C Michigan at Dayton · 7:00 PM ET
- Fordham at Manhattan · 7:00 PM ET
- Tennessee St at South Florida · 7:00 PM ET
- Wagner at Saint Joseph's · 7:00 PM ET
- CSU Northridge at Troy · 7:00 PM ET
- Norfolk St at Georgia Tech · 7:00 PM ET
- ETSU at Marshall · 7:00 PM ET
- Lehigh at Mount St Marys · 7:00 PM ET
- Rider at Miami · 7:00 PM ET
- Mississippi St at UCF · 7:00 PM ET
- Green Bay at West Florida · 7:00 PM ET
- Akron at Bucknell · 7:00 PM ET
- Charlotte at Davidson · 7:00 PM ET
- Kennesaw St at Alabama · 7:30 PM ET
- Bryant at UMass · 7:30 PM ET
- Arkansas vs Indiana · 7:30 PM ET
- FIU at UAB · 7:30 PM ET
- Jax State at Louisiana Tech · 7:30 PM ET
- MD Eastern at DePaul · 8:00 PM ET
- Oral Roberts at SMU · 8:00 PM ET
- Le Moyne at Evansville · 8:00 PM ET
- MTSU at GA Southern · 8:00 PM ET
- Texas A&M-CC at Rice · 8:00 PM ET
- Bellarmine at Illinois St · 8:00 PM ET
- E Illinois at Vanderbilt · 8:00 PM ET
- Lamar at Omaha · 8:00 PM ET
- Lindenwood at Northern Iowa · 8:00 PM ET
- UT Arlington at Southern Miss · 8:00 PM ET
- E Washington at Utah · 8:30 PM ET
- Sam Houston at Wyoming · 8:30 PM ET
- Nicholls at Ole Miss · 8:30 PM ET
- Michigan St at Tennessee · 9:00 PM ET
- Alabama St at UC Davis · 9:00 PM ET
- Old Dominion at Virginia · 9:00 PM ET
- UNLV vs Kansas · 9:30 PM ET
- Seattle U at CA Baptist · 10:00 PM ET
- UC Irvine at Stanford · 10:00 PM ET
- Montana St at Gonzaga · 11:00 PM ET
- West Virginia vs Auburn · 11:59 PM ET
- Detroit Mercy at E Michigan · TBD
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.