Mississippi State Bulldogs vs Tulsa Golden Hurricane basketball preview & prediction

Fri, Nov 20 · 7:30 PM ET · Mississippi Coliseum, Jackson, MS (neutral site)

Neutral siteNon-conferenceMississippi Coliseum, Jackson, MS
Mississippi St
3-0 · 0-0 conf
Efficiency #58
vs
Tulsa
2-0 · 0-0 conf
Efficiency #57
Fri, Nov 20 · 7:30 PM ET
Our projected score shows once the market opens.
No line posted yet.

Our play

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected 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).

Projected possessions
70.6
per team, 40 min
Adjusted tempo, vs an average opponent
70.6#177
Mississippi St
70.5#192
Tulsa

How this game plays

points this game from the four factors, vs an average D-I matchup
From the four factors
Tulsa has the ball+6.2
Mississippi St has the ball+13.6
Tulsa has the ball
✓Shoots it welleFG% 61.4% #27 · MSST allows 45.4% #86+3.9
✓Takes care of the ballTO% 14.7% #79 · MSST forces 19.2% #132 · ~12 turnovers+1.2
✓Gets to the lineFTR 59.6% #15 · MSST allows 30.1% #99 · FT 70.6% #165+0.6
✓Wins second chancesOR% 38.9% #56 · MSST allows 23.1% #43+0.4
Mississippi St has the ball
✓Shoots it welleFG% 59.9% #37 · TLSA allows 52.7% #216+6.8
✓Takes care of the ballTO% 16.8% #148 · TLSA forces 8.8% #354 · ~8 turnovers+5.9
✓Wins second chancesOR% 47.1% #7 · TLSA allows 12.5% #2+0.7
✓Gets to the lineFTR 40.8% #129 · TLSA allows 33.9% #150 · FT 73.1% #130+0.2

Shot diet

Where each offense shoots from and where each defense lets teams shoot
Mississippi Stoffense vsTulsadefense
Share of shots by zone
Mississippi St shoots
Tulsa allows
D-I average
FG% by zone
ZoneD-I avg
Rim70.2%#4958.3%#18058.0%
Short 2 (≤9 ft)36.4%#1730.0%#138.2%
Mid 2 (10 ft+)30.0%#2130.0%#134.7%
Three38.7%#7537.9%#29132.5%
Tulsaoffense vsMississippi Stdefense
Share of shots by zone
Tulsa shoots
Mississippi St allows
D-I average
FG% by zone
ZoneD-I avg
Rim63.6%#11355.6%#13758.0%
Short 2 (≤9 ft)100.0%#128.6%#10038.2%
Mid 2 (10 ft+)100.0%#133.3%#15534.7%
Three41.2%#5029.9%#12532.5%
RimShort 2 (≤9 ft)Mid 2 (10 ft+)Three

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 line
Mississippi St
+12.8extra scoring chances per game vs a D-I average team#32 of 365
Off reb %
47.1%
#7
Def reb %
76.9%
#43
Turnover %
16.8%
#148
Forced TO %
19.2%
#132
FT rate
40.8%
#129
FT allowed
30.1%
#99
Where the chances come from (per game)
Offensive rebounding+5.2
Defensive rebounding+2.8
Ball security+1.0
Forcing turnovers+0.8
Foul shots drawn+0.9
Foul shots allowed+2.1
Tulsa
+11.6extra scoring chances per game vs a D-I average team#38 of 365
Off reb %
38.9%
#56
Def reb %
87.5%
#2
Turnover %
14.7%
#79
Forced TO %
8.8%
#354
FT rate
59.6%
#15
FT allowed
33.9%
#150
Where the chances come from (per game)
Offensive rebounding+2.4
Defensive rebounding+6.4
Ball security+2.5
Forcing turnovers−6.6
Foul shots drawn+5.8
Foul shots allowed+1.0

Mississippi 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
Mississippi St2026-27 numbers · last game: Jackson St, Nov 9
#PlayerPosClHtGP-GSMPGMin/40, last 8Last 3 vs beforeStatusPPGRPGAPGTOVeFG%3P%3PA/gFT%Usage
12GSr6'0"3-326.733—Started last18.01.05.01.762.9%56.3%5.383.3%30.6%
5FSr6'8"3-322.727—Started last8.76.01.00.360.7%20.0%1.790.0%15.8%
2GSr6'4"3-022.018—Bench11.03.02.30.766.7%44.4%3.062.5%22.1%
21FSo6'8"3-320.726—Started last10.77.31.00.763.2%0.0%1.066.7%23.7%
11GSr6'4"3-319.025—Started last8.72.01.71.045.2%27.3%3.777.8%27.4%
1GSo6'5"3-017.011—Bench13.74.72.31.067.9%46.2%4.375.0%35.1%
0GFr6'7"3-014.78—Bench3.32.01.00.740.9%20.0%1.750.0%17.7%
13FSo6'8"3-014.313—Bench5.33.70.70.768.2%50.0%2.050.0%18.2%
22CSr6'10"3-313.719—Started last2.04.31.01.766.7%—0.0100.0%12.3%
33CFr6'10"3-011.315—Bench7.35.71.00.355.6%—0.050.0%34.4%
99GFr6'5"3-011.34—Bench4.01.01.32.050.0%33.3%2.066.7%30.0%
3CSo6'11"2-05.5——Active4.03.00.01.0100.0%—0.050.0%37.7%
24GSo6'7"2-02.0——Active0.00.50.00.0——0.0—0.0%
34CSr7'0"2-02.0——Active0.00.50.00.00.0%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.

Team comparison

national rank toned left for away, right for home
Mississippi StTulsa
Efficiency
112.9
116.5
102.2
105.7
70.6
70.5
-11.9
-8.1
Shooting
59.9%
61.4%
61.2%
60.9%
38.7%
41.2%
73.1%
70.6%
40.8%
59.6%
Ball control & glass
16.8%
14.7%
19.2%
8.8%
47.1%
38.9%
23.1%
12.5%
10.3%
5.9%
6.0%
13.0%
Style
39.3%
59.6%
46.9%
27.7%
13.6%
10.6%
55.0%
39.3%
48.6%
47.3%
Roster
2.87
3.08
6'5.9"
6'6.2"
21.0%
15.1%

Offseason

roster movement into this season — descriptive, not a model input
Mississippi St
Returning minutes: 21.0%Returning production: 26.2%
Lost
  • 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
Added
  • 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).

Tulsa
Returning minutes: 15.1%Returning production: 15.2%
Lost
  • 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
Added
  • 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 last
No meetings the last two seasons.

More games on Fri, Nov 20

← Thu, Nov 19 · Sat, Nov 21 → · Full season schedule

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.