Mississippi State Bulldogs vs Tulsa Golden Hurricane basketball preview & prediction
Fri, Nov 20 · 7:30 PM ET · Mississippi Coliseum, Jackson, MS (neutral site)
Our play
Pace & total
possessions per 40 minutesProjected possessions: 70.6, from each team's opponent-adjusted tempo. On raw season pace, Mississippi St is the faster team (71.3, #158 of 365) and Tulsa the slower (68.1, #265). 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 | 70.2%#49 | 58.3%#180 | 58.0% |
| Short 2 (≤9 ft) | 36.4%#173 | 0.0%#1 | 38.2% |
| Mid 2 (10 ft+) | 30.0%#213 | 0.0%#1 | 34.7% |
| Three | 38.7%#75 | 37.9%#291 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 63.6%#113 | 55.6%#137 | 58.0% |
| Short 2 (≤9 ft) | 100.0%#1 | 28.6%#100 | 38.2% |
| Mid 2 (10 ft+) | 100.0%#1 | 33.3%#155 | 34.7% |
| Three | 41.2%#50 | 29.9%#125 | 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 lineMississippi St has more extra scoring chances per game: +12.8 (#32 of 365) to Tulsa’s +11.6 (#38).
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 | Min/40, last 8 | Last 3 vs before | Status | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12 | G | Sr | 6'0" | 3-3 | 26.7 | 33 | — | Started last | 18.0 | 1.0 | 5.0 | 1.7 | 62.9% | 56.3% | 5.3 | 83.3% | 30.6% | |
| 5 | F | Sr | 6'8" | 3-3 | 22.7 | 27 | — | Started last | 8.7 | 6.0 | 1.0 | 0.3 | 60.7% | 20.0% | 1.7 | 90.0% | 15.8% | |
| 2 | G | Sr | 6'4" | 3-0 | 22.0 | 18 | — | Bench | 11.0 | 3.0 | 2.3 | 0.7 | 66.7% | 44.4% | 3.0 | 62.5% | 22.1% | |
| 21 | F | So | 6'8" | 3-3 | 20.7 | 26 | — | Started last | 10.7 | 7.3 | 1.0 | 0.7 | 63.2% | 0.0% | 1.0 | 66.7% | 23.7% | |
| 11 | G | Sr | 6'4" | 3-3 | 19.0 | 25 | — | Started last | 8.7 | 2.0 | 1.7 | 1.0 | 45.2% | 27.3% | 3.7 | 77.8% | 27.4% | |
| 1 | G | So | 6'5" | 3-0 | 17.0 | 11 | — | Bench | 13.7 | 4.7 | 2.3 | 1.0 | 67.9% | 46.2% | 4.3 | 75.0% | 35.1% | |
| 0 | G | Fr | 6'7" | 3-0 | 14.7 | 8 | — | Bench | 3.3 | 2.0 | 1.0 | 0.7 | 40.9% | 20.0% | 1.7 | 50.0% | 17.7% | |
| 13 | F | So | 6'8" | 3-0 | 14.3 | 13 | — | Bench | 5.3 | 3.7 | 0.7 | 0.7 | 68.2% | 50.0% | 2.0 | 50.0% | 18.2% | |
| 22 | C | Sr | 6'10" | 3-3 | 13.7 | 19 | — | Started last | 2.0 | 4.3 | 1.0 | 1.7 | 66.7% | — | 0.0 | 100.0% | 12.3% | |
| 33 | C | Fr | 6'10" | 3-0 | 11.3 | 15 | — | Bench | 7.3 | 5.7 | 1.0 | 0.3 | 55.6% | — | 0.0 | 50.0% | 34.4% | |
| 99 | G | Fr | 6'5" | 3-0 | 11.3 | 4 | — | Bench | 4.0 | 1.0 | 1.3 | 2.0 | 50.0% | 33.3% | 2.0 | 66.7% | 30.0% | |
| 3 | C | So | 6'11" | 2-0 | 5.5 | — | — | Active | 4.0 | 3.0 | 0.0 | 1.0 | 100.0% | — | 0.0 | 50.0% | 37.7% | |
| 24 | G | So | 6'7" | 2-0 | 2.0 | — | — | Active | 0.0 | 0.5 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% | |
| 34 | C | Sr | 7'0" | 2-0 | 2.0 | — | — | Active | 0.0 | 0.5 | 0.0 | 0.0 | 0.0% | 0.0% | 0.5 | — | 14.5% |
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 9 | Jackson St | H | W 98–57 | −24.5 | W+16.5 | 153.5 | O155 | 133.8 | 77.8 | 73.2 |
| Nov 5 | N'Western St | H | W 82–44 | −21.5 | W+16.5 | 152.0 | U126 | 130.6 | 70.1 | 62.8 |
| Nov 2 | Tennessee Tech | H | W 106–88 | −18.0 | P0.0 | 158.5 | O194 | 136.2 | 113.0 | 77.8 |
| Mar 11 | Auburn | N | L 61–79 | +7.5 | L−10.5 | 159.0 | U140 | 85.6 | 110.8 | 71.3 |
| Mar 7 | Georgia | H | L 96–102 | +5.0 | L−1.0 | 164.5 | O198 | 121.1 | 128.7 | 79.3 |
| Mar 3 | #5Florida | A | L 74–108 | +21.0 | L−13.0 | 160.5 | O182 | 98.6 | 143.9 | 75.1 |
| Feb 28 | Missouri | H | L 64–88 | +1.0 | L−23.0 | 154.5 | U152 | 93.0 | 127.9 | 68.8 |
| Feb 25 | #17Alabama | A | L 75–100 | +12.5 | L−12.5 | 175.5 | U175 | 98.8 | 131.7 | 75.9 |
| Feb 21 | South Carolina | A | L 89–97 | −1.0 | L−9.0 | 152.0 | O186 | 122.7 | 133.7 | 72.5 |
| Feb 18 | Auburn | H | W 91–85 | +5.5 | W+11.5 | 155.0 | O176 | 135.0 | 126.1 | 67.4 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 5 | N Illinois | H | W 94–75 | −14.5 | W+4.5 | 154.5 | O169 | 138.1 | 110.2 | 68.1 |
| Nov 2 | Ottawa (KS) Braves | H | W 98–50 | — | — | — | — | 140.3 | 71.6 | 69.9 |
| Apr 5 | Auburn | N | L 86–92 OT | +5.5 | L−0.5 | 159.5 | O178 | 105.2 | 112.5 | 81.8 |
| Apr 2 | New Mexico | N | W 74–69 | −3.0 | W+2.0 | 162.5 | U143 | 104.2 | 97.1 | 71.0 |
| Mar 24 | Wichita St | H | W 83–79 | −4.5 | L−0.5 | 154.0 | O162 | 110.6 | 105.2 | 75.1 |
| Mar 22 | UNLV | H | W 77–66 | −5.0 | W+6.0 | 161.5 | U143 | 117.0 | 100.3 | 65.8 |
| Mar 17 | SF Austin | H | W 89–84 OT | −6.5 | L−1.5 | 150.5 | O173 | 113.3 | 107.0 | 78.5 |
| Mar 14 | Wichita St | N | L 68–81 | −1.5 | L−14.5 | 152.0 | U149 | 104.9 | 124.9 | 64.8 |
| Mar 13 | North Texas | N | W 90–84 3OT | −8.5 | L−2.5 | 142.0 | O174 | 98.7 | 92.1 | 91.2 |
| Mar 8 | Temple | H | W 78–76 | −11.5 | L−9.5 | 150.5 | O154 | 116.6 | 113.6 | 66.9 |
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- Jayden Epps 25.5 mpg, 12.8 ppg · not on a D1 roster yet
- Shawn Jones Jr. 25.2 mpg, 5.2 ppg · not on a D1 roster yet
- Ja'Borri McGhee 22.1 mpg, 8.4 ppg · not on a D1 roster yet
- Jamarion Davis-Fleming 20.3 mpg, 3.7 ppg · transferred to Alabama
- Quincy Ballard 20.2 mpg, 6.5 ppg · not on a D1 roster yet
- Achor Achor 17.7 mpg, 6.2 ppg · not on a D1 roster yet
- Kimani Hamilton from UNLV · 29.3 mpg, 12.8 ppg last season
- RJ Johnson from Kennesaw St · 27.3 mpg, 14.1 ppg last season
- Tajuan Simpkins from Seton Hall · 25.1 mpg, 9.7 ppg last season
- ND Okafor from Washington St · 23.2 mpg, 11.0 ppg last season
- Kendyl Sanders from Utah · 20.1 mpg, 5.2 ppg last season
- Thomas Bassong from Florida St · 19.3 mpg, 5.9 ppg last season
Returns 21% 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).
- Miles Barnstable 30.3 mpg, 14.6 ppg · not on a D1 roster yet
- Ade Popoola 28.7 mpg, 10.8 ppg · transferred to DePaul
- Tylen Riley 27.7 mpg, 15.0 ppg · transferred to Cincinnati
- David Green 25.6 mpg, 15.1 ppg · not on a D1 roster yet
- Tyler Behrend 21.7 mpg, 6.5 ppg · transferred to Grand Canyon
- Romad Dean 16.0 mpg, 4.8 ppg · not on a D1 roster yet
- Macon Emory from Delaware · 37.1 mpg, 11.3 ppg last season
- Kobi Williams from Missouri St · 34.4 mpg, 14.0 ppg last season
- Jeremiah Johnson from Campbell · 32.4 mpg, 15.2 ppg last season
- Brent Moss from UTSA · 25.9 mpg, 9.3 ppg last season
- Chris Loofe from MTSU · 24.9 mpg, 7.3 ppg last season
- Mike Williams III from Seton Hall · 20.9 mpg, 7.0 ppg last season
Returns 15% of last season's minutes; lost 5 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).
Head-to-head
this season and lastMore games on Fri, Nov 20
- Temple vs MTSU · 12:30 PM ET
- Oklahoma St vs Minnesota · 12:30 PM ET
- G Washington vs UAB · 2:00 PM ET
- Indiana St vs SF Austin · 3:00 PM ET
- W Illinois vs UAlbany · 3:00 PM ET
- Northwestern vs Virginia Tech · 3:00 PM ET
- S Dakota St at Idaho St · 4:00 PM ET
- Rhode Island vs Liberty · 4:30 PM ET
- Manhattan at Miami · 5:00 PM ET
- UT Martin vs S Illinois · 5:30 PM ET
- Mercyhurst at Canisius · 5:30 PM ET
- Dayton vs Utah · 5:30 PM ET
- Delaware at CSU Northridge · 6:00 PM ET
- North Texas at App State · 6:30 PM ET
- Coastal at Tennessee · 7:00 PM ET
- C Michigan at Pitt · 7:00 PM ET
- Wagner at Maryland · 7:00 PM ET
- Saint Joseph's at Drexel · 7:00 PM ET
- Harvard at Holy Cross · 7:00 PM ET
- Loyola MD at Virginia · 7:00 PM ET
- SE Louisiana at Kennesaw St · 7:00 PM ET
- W Michigan at Mount St Marys · 7:00 PM ET
- Kansas City at Iona · 7:00 PM ET
- Bellarmine at E Kentucky · 7:00 PM ET
- Monmouth at Princeton · 7:00 PM ET
- Niagara at Delaware St · 7:00 PM ET
- SC State at The Citadel · 7:00 PM ET
- Oakland at Purdue · 7:00 PM ET
- Georgia St at Jax State · 7:00 PM ET
- Richmond vs Western KY · 7:00 PM ET
- Iowa at Xavier · 7:30 PM ET
- UT Arlington at N'Western St · 7:30 PM ET
- Georgia at Georgia Tech · 8:00 PM ET
- Green Bay at Florida St · 8:00 PM ET
- Campbell at Kansas St · 8:00 PM ET
- Utah Valley vs East Carolina · 8:00 PM ET
- Kentucky vs Indiana · 8:00 PM ET
- Le Moyne at Missouri · 8:00 PM ET
- Lipscomb at Alabama A&M · 8:00 PM ET
- UCF at Vanderbilt · 8:00 PM ET
- Miss Valley St at Arkansas · 8:00 PM ET
- South Alabama at SMU · 8:00 PM ET
- Marshall at North Carolina · 9:00 PM ET
- E Illinois at Illinois · 9:00 PM ET
- Bakersfield at Idaho · 9:00 PM ET
- Sam Houston at Boise St · 9:00 PM ET
- Alabama St at Fresno St · 10:00 PM ET
- Saint Louis at Saint Mary's · 11:00 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.