Southern Miss Golden Eagles vs Texas State Bobcats basketball preview & prediction
Fri, Nov 13 · 8:00 PM ET · Strahan Arena at the University Events Center, San Marcos, TX
Our play
Pace & total
possessions per 40 minutesProjected possessions: 69.0, from each team's opponent-adjusted tempo. On raw season pace, Southern Miss is the faster team (70.3, #197 of 365) and Texas St the slower (62.8, #349). 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 | 25.0%#357 | 55.0%#134 | 58.0% |
| Short 2 (≤9 ft) | 75.0%#17 | 50.0%#243 | 38.2% |
| Mid 2 (10 ft+) | 0.0%#327 | 45.5%#265 | 34.7% |
| Three | 40.0%#56 | 17.6%#6 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 47.8%#291 | 75.0%#340 | 58.0% |
| Short 2 (≤9 ft) | 57.1%#53 | 50.0%#243 | 38.2% |
| Mid 2 (10 ft+) | 80.0%#9 | 50.0%#285 | 34.7% |
| Three | 30.8%#213 | 33.3%#185 | 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 lineTexas St has more extra scoring chances per game: +6.5 (#87 of 365) to Southern Miss’s −14.0 (#337).
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 | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | G | Sr | 6'0" | 2-2 | 24.5 | 8.0 | 2.0 | 3.0 | 1.5 | 42.3% | 27.3% | 5.5 | 83.3% | 21.2% | Active | |
| 8 | G | Sr | 6'5" | 2-2 | 23.5 | 10.5 | 3.0 | 1.0 | 4.0 | 55.3% | 50.0% | 5.0 | — | 31.6% | Active | |
| 10 | G | Sr | 6'6" | 2-2 | 20.0 | 8.5 | 5.0 | 2.0 | 3.0 | 53.6% | 33.3% | 1.5 | 50.0% | 29.8% | Active | |
| 20 | G | Sr | 6'5" | 2-2 | 19.0 | 9.0 | 2.5 | 1.0 | 0.0 | 54.2% | 50.0% | 3.0 | 83.3% | 21.5% | Active | |
| 6 | F | Jr | 6'8" | 2-0 | 19.0 | 5.0 | 4.5 | 2.0 | 1.5 | 29.2% | 16.7% | 3.0 | 100.0% | 23.9% | Active | |
| 49 | C | Jr | 7'0" | 2-2 | 16.0 | 2.0 | 2.5 | 1.0 | 0.0 | 33.3% | — | 0.0 | 50.0% | 8.5% | Active | |
| 24 | F | Sr | 6'8" | 2-0 | 15.5 | 6.5 | 4.0 | 1.0 | 3.5 | 50.0% | 0.0% | 1.0 | 33.3% | 35.7% | Active | |
| 1 | G | Jr | 6'4" | 2-0 | 11.5 | 3.0 | 2.0 | 0.0 | 1.0 | 62.5% | 50.0% | 1.0 | 50.0% | 16.5% | Active | |
| 0 | G | So | 6'6" | 2-0 | 11.5 | 4.0 | 3.5 | 0.0 | 0.0 | 50.0% | 0.0% | 0.5 | 66.7% | 16.2% | Active | |
| 23 | G | Jr | 6'5" | 2-0 | 11.0 | 1.5 | 4.5 | 0.0 | 0.5 | 50.0% | 100.0% | 0.5 | — | 9.8% | Active | |
| 4 | G | Jr | 6'6" | 2-0 | 7.0 | 3.5 | 1.0 | 0.0 | 0.5 | 41.7% | 25.0% | 2.0 | 66.7% | 32.4% | Active | |
| 22 | F | Sr | 6'9" | 2-0 | 6.0 | 1.0 | 3.0 | 0.0 | 1.0 | 50.0% | — | 0.0 | — | 17.8% | Active | |
| 5 | G | Fr | 6'4" | 2-0 | 5.5 | 4.5 | 0.5 | 0.0 | 0.0 | 64.3% | 33.3% | 1.5 | 0.0% | 38.9% | Active | |
| 13 | G | Fr | 6'6" | 2-0 | 5.0 | 1.5 | 0.5 | 0.5 | 0.0 | 20.0% | — | 0.0 | 50.0% | 31.5% | Active | |
| 7 | C | Sr | 6'11" | 2-0 | 3.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0% | — | 0.0 | — | 7.9% | Active | |
| 11 | G | So | 6'2" | 1-0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0% | 0.0% | 1.0 | 100.0% | 33.8% | Missed last |
Trends
Results against the closing spread and total, last ten games| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 6 | #18Iowa State | A | L 57–83 | +32.0 | W+6.0 | 146.0 | U140 | 81.1 | 118.1 | 70.3 |
| Nov 2 | Tougaloo Bulldogs | H | W 82–35 | — | — | — | — | 106.4 | 45.4 | 77.1 |
| Mar 8 | Troy | N | L 70–78 | +5.5 | L−2.5 | 143.0 | O148 | 98.2 | 109.4 | 71.3 |
| Mar 7 | App State | N | W 86–73 | +5.0 | W+18.0 | 137.5 | O159 | 125.4 | 106.5 | 68.6 |
| Mar 6 | Texas St | N | W 81–77 | +1.5 | W+5.5 | 140.0 | O158 | 117.3 | 111.5 | 69.0 |
| Mar 5 | James Madison | N | W 86–80 | +2.0 | W+8.0 | 143.5 | O166 | 119.4 | 111.1 | 72.0 |
| Feb 27 | South Alabama | A | W 68–55 | +4.0 | W+17.0 | 142.0 | U123 | 105.1 | 85.0 | 64.7 |
| Feb 24 | Arkansas St | A | L 84–89 | +9.0 | W+4.0 | 158.0 | O173 | 106.4 | 112.8 | 78.9 |
| Feb 21 | Old Dominion | H | W 86–81 | −5.0 | P0.0 | 148.0 | O167 | 106.1 | 100.0 | 81.0 |
| Feb 14 | Troy | H | W 69–65 | +5.0 | W+9.0 | 144.5 | U134 | 104.4 | 98.3 | 66.1 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 10 | UT Rio Grande | A | W 72–65 | −5.5 | W+1.5 | 138.0 | U137 | — | — | — |
| Nov 5 | Howard Payne Yellow Jackets | H | W 135–66 | — | — | — | — | 147.9 | 72.3 | 91.3 |
| Nov 2 | Texas A&M-CC | H | W 67–55 | −10.5 | W+1.5 | 142.5 | U122 | 106.7 | 87.6 | 62.8 |
| Mar 6 | Southern Miss | N | L 77–81 | −1.5 | L−5.5 | 140.0 | O158 | 111.5 | 117.3 | 69.0 |
| Feb 27 | App State | H | W 60–57 | +1.0 | W+4.0 | 135.0 | U117 | 98.7 | 93.8 | 60.8 |
| Feb 21 | Louisiana | A | L 54–67 | −3.0 | L−16.0 | 134.0 | U121 | 90.3 | 112.1 | 59.8 |
| Feb 19 | South Alabama | A | W 90–82 OT | +4.0 | W+12.0 | 137.5 | O172 | 123.5 | 112.6 | 72.8 |
| Feb 14 | UL Monroe | H | W 95–84 | −14.0 | L−3.0 | 149.0 | O179 | 148.1 | 131.0 | 64.1 |
| Feb 11 | Troy | H | W 74–62 | +5.0 | W+17.0 | 140.5 | U136 | 116.2 | 97.4 | 63.7 |
| Feb 7 | W Michigan | H | W 77–61 | −6.5 | W+9.5 | 146.5 | U138 | 119.8 | 94.9 | 64.3 |
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- Tylik Weeks 32.6 mpg, 19.2 ppg · transferred to Memphis
- Dylan Brumfield 31.2 mpg, 8.4 ppg · not on a D1 roster yet
- Djahi Binet 26.4 mpg, 11.3 ppg · not on a D1 roster yet
- Curt Lewis 23.2 mpg, 5.4 ppg · not on a D1 roster yet
- Israel Hart 21.0 mpg, 7.5 ppg · not on a D1 roster yet
- Chiante' Tramble 12.0 mpg, 3.5 ppg · transferred to N Colorado
- Cameron Wallace from Little Rock · 28.6 mpg, 12.7 ppg last season
- Jalyke Gaines-Wyatt from Hampton · 23.8 mpg, 10.2 ppg last season
- Marcus Overstreet from San José St · 8.2 mpg, 2.2 ppg last season
- DeAndre Harvey no D1 minutes last season
- Max Blank no D1 minutes last season
- Dorion Bowen no D1 minutes last season
Returns 15% 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).
- Kyndall Davis 22.0 mpg, 5.3 ppg · not on a D1 roster yet
- Franck Emmou 21.8 mpg, 7.0 ppg · transferred to Tarleton St
- Jalen Bolden 16.3 mpg, 5.2 ppg · not on a D1 roster yet
- Tay Knox 14.1 mpg, 2.8 ppg · not on a D1 roster yet
- Makai Willis 12.8 mpg, 6.0 ppg · not on a D1 roster yet
- Jaelyn Lee 4.3 mpg, 1.5 ppg · transferred to Prairie View
- KJ Younger from UNC Greensboro · 28.5 mpg, 15.1 ppg last season
- Quel'Ron House from S Illinois · 28.2 mpg, 14.2 ppg last season
- Ronald Jessamy from Bakersfield · 25.2 mpg, 13.0 ppg last season
- Paul Djobet from Omaha · 18.1 mpg, 10.6 ppg last season
- Caleb Steger from Boston College · 11.3 mpg, 3.3 ppg last season
- King Sanders no D1 minutes last season
Returns 54% of last season's minutes; lost 2 of its top 5 (1 transferred).
Head-to-head
this season and last| Date | Season | Result |
|---|---|---|
| Fri, Mar 6 | 2025-26 | Southern Miss 81 – 77 Texas St(N) |
| Sat, Jan 17 | 2025-26 | Southern Miss 67 – 74 Texas St |
| Thu, Jan 8 | 2025-26 | Texas St 70 – 80 Southern Miss |
More games on Fri, Nov 13
- West Florida vs Cleveland St · 3:00 PM ET
- Texas A&M-CC at Florida St · 5:00 PM ET
- North Alabama at Miami · 5:00 PM ET
- Georgetown at Clemson · 6:00 PM ET
- Bryant at Rutgers · 6:00 PM ET
- Pitt at Butler · 6:30 PM ET
- Merrimack at Florida · 7:00 PM ET
- Georgia at North Carolina · 7:00 PM ET
- Tennessee St at Tennessee · 7:00 PM ET
- Long Island at Fordham · 7:00 PM ET
- Harvard at G Washington · 7:00 PM ET
- Sam Houston at Illinois · 7:00 PM ET
- Troy at NC State · 7:00 PM ET
- Mount St Marys at Virginia Tech · 7:00 PM ET
- Yale at Northeastern · 7:00 PM ET
- Chattanooga at Elon · 7:00 PM ET
- Iona at Hofstra · 7:00 PM ET
- N Arizona at Kentucky · 7:00 PM ET
- Prairie View at Vanderbilt · 7:00 PM ET
- FIU at FGCU · 7:00 PM ET
- Columbia at Bucknell · 7:00 PM ET
- Marist at Lehigh · 7:00 PM ET
- Northern Iowa at Michigan St · 7:00 PM ET
- App State at Charlotte · 7:00 PM ET
- Ohio at Purdue · 7:00 PM ET
- Ohio State at UConn · 7:30 PM ET
- SE Missouri at MTSU · 7:30 PM ET
- NC Central at Liberty · 7:30 PM ET
- South Dakota at Drake · 7:30 PM ET
- FDU at Oklahoma · 8:00 PM ET
- SIUE at Duke · 8:00 PM ET
- Virginia at Maryland · 8:00 PM ET
- C Arkansas at Arkansas · 8:00 PM ET
- Milwaukee at TCU · 8:00 PM ET
- GA Southern at UCF · 8:00 PM ET
- Alcorn St at Tarleton St · 8:00 PM ET
- Wright St at Samford · 8:00 PM ET
- Illinois St at N Dakota St · 8:00 PM ET
- Texas Southern at Murray St · 8:00 PM ET
- Lindenwood at Omaha · 8:45 PM ET
- Seton Hall at Alabama · 9:00 PM ET
- Xavier vs Mississippi St · 9:00 PM ET
- DePaul at Northwestern · 9:00 PM ET
- Arizona at Auburn · 9:00 PM ET
- Ball State at SMU · 9:00 PM ET
- UL Monroe at Arizona St · 9:00 PM ET
- Cal Poly at Idaho · 9:00 PM ET
- Stanford at UNLV · 9:00 PM ET
- Chicago St at San Diego · 9:30 PM ET
- Miss Valley St at Oregon St · 9:30 PM ET
- UIC at Saint Mary's · 10:00 PM ET
- East Texas A&M at Portland · 10:00 PM ET
- UC San Diego at Utah State · 10:00 PM ET
- AR-Pine Bluff at CA Baptist · 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.