McNeese Cowboys vs Texas State Bobcats basketball preview & prediction
Sun, Nov 22 · 3:30 PM ET · Strahan Arena at the University Events Center, San Marcos, TX
Our play
Pace & total
possessions per 40 minutesProjected possessions: 66.8, from each team's opponent-adjusted tempo. On raw season pace, McNeese is the faster team (68.2, #261 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 | 69.4%#58 | 55.0%#134 | 58.0% |
| Short 2 (≤9 ft) | 33.3%#183 | 50.0%#243 | 38.2% |
| Mid 2 (10 ft+) | 26.3%#240 | 45.5%#265 | 34.7% |
| Three | 40.0%#56 | 17.6%#6 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 47.8%#291 | 70.6%#311 | 58.0% |
| Short 2 (≤9 ft) | 57.1%#53 | 30.0%#111 | 38.2% |
| Mid 2 (10 ft+) | 80.0%#9 | 45.5%#265 | 34.7% |
| Three | 30.8%#213 | 31.3%#153 | 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 McNeese’s −2.0 (#207).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 81 | G | So | 6'4" | 3-3 | 31.0 | 33 | — | Started last | 17.0 | 2.0 | 1.0 | 0.3 | 90.7% | 62.5% | 8.0 | 100.0% | 16.9% | |
| 6 | G | So | 6'4" | 3-3 | 27.7 | 34 | — | Started last | 23.3 | 3.7 | 3.3 | 2.7 | 59.6% | 36.4% | 3.7 | 93.3% | 41.2% | |
| 1 | G | Jr | 6'2" | 3-3 | 26.0 | 25 | — | Started last | 4.3 | 2.7 | 8.3 | 1.7 | 33.3% | 20.0% | 3.3 | 75.0% | 15.1% | |
| 12 | G | So | 6'4" | 3-0 | 22.7 | 27 | — | Bench | 14.0 | 5.0 | 2.0 | 0.3 | 64.3% | 50.0% | 5.3 | 75.0% | 26.0% | |
| 7 | F | So | 6'11" | 3-2 | 21.7 | 27 | — | Started last | 11.7 | 6.0 | 2.7 | 0.0 | 53.4% | 41.2% | 5.7 | 57.1% | 27.1% | |
| 21 | F | Jr | 6'11" | 3-2 | 21.3 | 21 | — | Bench | 11.3 | 5.0 | 1.0 | 1.7 | 73.8% | 50.0% | 3.3 | 100.0% | 22.8% | |
| 11 | F | Jr | 6'8" | 3-0 | 15.3 | 6 | — | Bench | 5.3 | 3.0 | 2.3 | 2.0 | 100.0% | — | 0.0 | 66.7% | 16.1% | |
| 23 | F | Sr | 6'10" | 2-2 | 22.0 | 27 | — | Started last | 7.0 | 5.0 | 1.0 | 1.0 | 42.9% | — | 0.0 | 80.0% | 18.6% | |
| 24 | G | Fr | 6'2" | 2-0 | 8.5 | — | — | Active | 3.0 | 1.0 | 1.5 | 1.5 | 60.0% | — | 0.0 | — | 22.2% | |
| 3 | F | Fr | 6'9" | 2-0 | 7.5 | 0 | — | Missed last game | 3.0 | 1.5 | 1.0 | 0.0 | 75.0% | 0.0% | 0.5 | — | 12.6% | |
| 2 | G | So | 5'10" | 2-0 | 6.0 | 0 | — | Missed last game | 4.5 | 2.0 | 2.5 | 1.0 | 64.3% | 33.3% | 1.5 | 0.0% | 38.5% | |
| 14 | G | So | 6'3" | 2-0 | 3.5 | 0 | — | Missed last game | 1.0 | 0.0 | 0.5 | 0.0 | 100.0% | — | 0.0 | — | 7.1% | |
| 0 | G | Fr | 5'11" | 2-0 | 3.0 | — | — | Active | 1.5 | 1.5 | 0.0 | 0.0 | 75.0% | 100.0% | 0.5 | — | 16.2% | |
| 10 | G | Fr | 5'11" | 2-0 | 1.5 | — | — | Active | 0.0 | 0.0 | 0.0 | 0.0 | 0.0% | 0.0% | 1.0 | — | 32.5% |
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 | College of Biblical Studies Ambassadors | H | W 135–87 | — | — | — | — | 154.9 | 99.9 | 87.1 |
| Nov 5 | North Texas | A | L 67–77 | −2.0 | L−12.0 | 139.0 | O144 | 102.0 | 117.2 | 65.7 |
| Nov 2 | UAB | N | W 99–78 | −2.5 | W+18.5 | 154.5 | O177 | 140.1 | 110.3 | 70.7 |
| Mar 19 | #5Vanderbilt | N | L 68–78 | +12.0 | W+2.0 | 148.0 | U146 | 106.4 | 122.1 | 63.9 |
| Mar 11 | SF Austin | N | W 76–59 | −3.5 | W+13.5 | 134.5 | O135 | 119.0 | 92.4 | 63.9 |
| Mar 10 | UT Rio Grande | N | W 84–80 3OT | −7.0 | L−3.0 | 141.0 | O164 | 98.4 | 93.8 | 85.3 |
| Mar 2 | Nicholls | A | W 75–65 | −10.0 | P0.0 | 145.0 | U140 | 111.5 | 96.6 | 67.3 |
| Feb 28 | LSU N Orleans | A | W 66–63 | −10.0 | L−7.0 | 150.5 | U129 | 102.1 | 97.5 | 64.6 |
| Feb 23 | UT Rio Grande | H | W 75–68 | −12.0 | L−5.0 | 146.0 | U143 | 108.8 | 98.7 | 68.9 |
| Feb 21 | Texas A&M-CC | H | W 70–54 | −14.0 | W+2.0 | 140.5 | U124 | 106.7 | 82.3 | 65.6 |
| 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- Garwey Dual 26.6 mpg, 8.4 ppg · transferred to Syracuse
- Javohn Garcia 26.2 mpg, 10.5 ppg · not on a D1 roster yet
- Tyshawn Archie 25.6 mpg, 14.3 ppg · transferred to Texas A&M
- DJ Richards Jr. 22.0 mpg, 8.3 ppg · not on a D1 roster yet
- Jacolb Fredson-Cole 18.7 mpg, 5.5 ppg · transferred to Georgia St
- Peitok Machar 12.5 mpg, 3.5 ppg · not on a D1 roster yet
- Corey Chest from Ole Miss · 12.8 mpg, 2.6 ppg last season
- Dellquan Warren from Mississippi St · 4.5 mpg, 0.7 ppg last season
- Alier Maluk from Florida St · 4.2 mpg, 1.1 ppg last season
- Jaylon Dean-Vines from Vanderbilt · 0.7 mpg, 0.3 ppg last season
- Elijah Moore from Utah · 0.2 mpg, 0.0 ppg last season
- Joe DeVall no D1 minutes last season
Returns 31% 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).
- 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 lastMore games on Sun, Nov 22
- Miami OH vs UIC · 12:00 PM ET
- Butler vs Nebraska · 1:00 PM ET
- Chicago St at Marquette · 1:00 PM ET
- Towson at American · 1:00 PM ET
- Fairfield at Long Island · 1:00 PM ET
- Dayton vs Northwestern · 1:00 PM ET
- W Illinois at Canisius · 1:00 PM ET
- San Diego vs Fordham · 2:00 PM ET
- William & Mary at Youngstown St · 2:00 PM ET
- Evansville at Memphis · 2:00 PM ET
- Wyoming vs Duquesne · 2:00 PM ET
- UMass Lowell at Cincinnati · 2:00 PM ET
- South Dakota vs Utah Tech · 2:00 PM ET
- G Washington vs Western KY · 2:00 PM ET
- Robert Morris vs New Mexico St · 2:30 PM ET
- S Indiana at Texas · 3:00 PM ET
- West Florida at South Alabama · 3:00 PM ET
- Troy vs Nicholls · 3:00 PM ET
- Virginia Tech vs Oklahoma St · 3:30 PM ET
- UAlbany vs Mercyhurst · 3:30 PM ET
- UC Irvine vs LMU · 4:30 PM ET
- IU Indy vs MD Eastern · 4:30 PM ET
- Richmond vs Liberty · 4:30 PM ET
- NJIT at Boston College · 5:00 PM ET
- Fullerton at Portland St · 5:00 PM ET
- UNC Asheville at Samford · 5:00 PM ET
- Rice vs Lamar · 5:00 PM ET
- Utah vs Minnesota · 6:00 PM ET
- Southern Miss vs Valparaiso · 6:00 PM ET
- CA Baptist vs Portland · 7:00 PM ET
- Rhode Island vs UAB · 7:00 PM ET
- Delaware at UCLA · 7:00 PM ET
- Louisiana at USC · 8:00 PM ET
- Seattle U vs UC San Diego · 9:30 PM ET
- San José St vs Loyola Chicago · 11:59 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.