Texas State Bobcats vs UTSA Roadrunners basketball preview & prediction
Sun, Nov 15 · 8:00 PM ET · UTSA Convocation Center, San Antonio, TX
Our play
Pace & total
possessions per 40 minutesProjected possessions: 68.7, from each team's opponent-adjusted tempo. On raw season pace, UTSA is the faster team (71.9, #138 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 | 47.8%#291 | 70.7%#314 | 58.0% |
| Short 2 (≤9 ft) | 57.1%#53 | 50.0%#243 | 38.2% |
| Mid 2 (10 ft+) | 80.0%#9 | 22.2%#71 | 34.7% |
| Three | 30.8%#213 | 32.0%#167 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 50.0%#261 | 55.0%#134 | 58.0% |
| Short 2 (≤9 ft) | 55.0%#68 | 50.0%#243 | 38.2% |
| Mid 2 (10 ft+) | 42.9%#94 | 45.5%#265 | 34.7% |
| Three | 29.7%#224 | 17.6%#6 | 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 UTSA’s −5.7 (#259).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10 | F | Sr | 6'7" | 2-2 | 24.5 | 14.5 | 5.0 | 3.5 | 0.5 | 67.6% | 33.3% | 4.5 | 85.7% | 22.9% | Active | |
| 0 | F | So | 6'7" | 2-2 | 22.5 | 15.5 | 6.0 | 2.5 | 0.5 | 58.7% | 42.9% | 3.5 | 66.7% | 33.9% | Active | |
| 2 | G | Jr | 6'3" | 2-2 | 20.5 | 4.0 | 1.0 | 0.0 | 1.5 | 36.4% | 0.0% | 1.5 | — | 19.0% | Active | |
| 11 | G | Sr | 6'2" | 2-2 | 20.5 | 3.5 | 4.0 | 4.0 | 1.5 | 33.3% | 0.0% | 1.0 | 60.0% | 15.3% | Active | |
| 3 | C | So | 6'9" | 2-2 | 20.5 | 13.5 | 4.5 | 0.5 | 1.5 | 83.3% | — | 0.0 | 58.3% | 28.9% | Active | |
| 4 | G | Jr | 6'0" | 2-0 | 16.0 | 7.5 | 1.5 | 2.0 | 2.0 | 50.0% | 0.0% | 0.5 | 71.4% | 29.5% | Active | |
| 23 | G | So | 6'4" | 2-0 | 13.0 | 10.0 | 1.5 | 0.5 | 1.5 | 66.7% | 66.7% | 3.0 | 100.0% | 32.9% | Active | |
| 14 | F | Fr | 6'9" | 2-0 | 11.0 | 1.0 | 3.0 | 1.0 | 0.5 | 0.0% | — | 0.0 | 50.0% | 10.9% | Active | |
| 5 | F | Fr | 6'6" | 2-0 | 11.0 | 2.5 | 2.5 | 0.5 | 0.5 | 40.0% | 0.0% | 0.5 | 33.3% | 16.5% | Active | |
| 1 | G | Jr | 6'3" | 2-0 | 10.0 | 5.0 | 2.5 | 0.0 | 0.5 | 100.0% | 100.0% | 1.0 | 100.0% | 13.7% | Active | |
| 30 | G | So | 6'5" | 2-0 | 9.5 | 8.0 | 1.5 | 1.5 | 0.5 | 92.9% | 60.0% | 2.5 | 100.0% | 23.8% | Active | |
| 21 | F | Sr | 6'8" | 2-0 | 8.5 | 9.5 | 4.5 | 0.0 | 1.0 | 87.5% | — | 0.0 | 71.4% | 35.8% | Active | |
| 8 | G | Fr | 6'1" | 1-0 | 14.0 | 3.0 | 1.0 | 4.0 | 0.0 | 33.3% | 0.0% | 1.0 | 100.0% | 10.9% | Active | |
| 22 | F | Fr | 6'8" | 1-0 | 11.0 | 10.0 | 4.0 | 1.0 | 1.0 | 60.0% | 0.0% | 1.0 | 66.7% | 35.4% | Active |
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 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 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 7 | VMI | H | W 70–68 | −5.5 | L−3.5 | 163.5 | U138 | 100.7 | 97.8 | 69.5 |
| Nov 2 | San José St | A | L 74–95 | +8.0 | L−13.0 | 156.0 | O169 | 99.6 | 127.8 | 74.3 |
| Mar 8 | Rice | A | L 71–80 | +12.0 | W+3.0 | 150.0 | O151 | 103.2 | 116.3 | 68.8 |
| Mar 1 | Wichita St | H | L 67–84 | +15.5 | L−1.5 | 150.5 | O151 | 96.1 | 120.5 | 69.7 |
| Feb 25 | East Carolina | H | L 81–82 | +4.5 | W+3.5 | 153.5 | O163 | 119.9 | 121.4 | 67.5 |
| Feb 22 | Tulsa | A | L 74–100 | +22.0 | L−4.0 | 159.5 | O174 | 103.4 | 139.8 | 71.5 |
| Feb 18 | FAU | H | L 52–60 | +11.5 | W+3.5 | 157.5 | U112 | 76.9 | 88.7 | 67.6 |
| Feb 15 | Charlotte | A | W 88–79 | +14.0 | W+23.0 | 148.0 | O167 | 133.7 | 120.0 | 65.8 |
| Feb 11 | East Carolina | A | L 72–88 | +10.5 | L−5.5 | 149.5 | O160 | 101.3 | 123.9 | 71.0 |
| Feb 7 | North Texas | H | L 58–81 | +10.0 | L−13.0 | 138.5 | O139 | 83.2 | 116.1 | 69.7 |
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- 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).
- Jamir Simpson 34.6 mpg, 16.2 ppg · not on a D1 roster yet
- Brent Moss 25.9 mpg, 9.3 ppg · transferred to Tulsa
- Baboucarr Njie 24.7 mpg, 9.1 ppg · transferred to Temple
- Austin Nunez 20.9 mpg, 7.2 ppg · transferred to LSU
- Matheo Coffi 19.0 mpg, 3.8 ppg · transferred to NJIT
- Kaidon Rayfield 17.3 mpg, 5.8 ppg · transferred to N Colorado
- JJ Kelly from Ohio · 25.8 mpg, 8.3 ppg last season
- Demari Williams from Hou Christian · 19.9 mpg, 8.8 ppg last season
- Preston Turner from E Illinois · 19.6 mpg, 7.2 ppg last season
- Isaiah Coleman from Oklahoma St · 18.1 mpg, 6.0 ppg last season
- Josiah LeGree from Morehead St · 17.6 mpg, 7.5 ppg last season
- KJ Tenner from Murray St · 16.5 mpg, 6.0 ppg last season
Returns 13% of last season's minutes; lost 4 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| Date | Season | Result |
|---|---|---|
| Wed, Nov 12 | 2025-26 | UTSA 69 – 80 Texas St |
More games on Sun, Nov 15
- Niagara at Iowa State · 1:00 PM ET
- Harvard at American · 1:00 PM ET
- Louisville at Memphis · 1:00 PM ET
- Dartmouth at Boston U · 1:00 PM ET
- Colgate at Delaware · 1:00 PM ET
- Quinnipiac at C Connecticut · 1:00 PM ET
- Norfolk St at Georgia St · 1:00 PM ET
- Boise St vs Nebraska · 1:00 PM ET
- New Hampshire at Boston College · 1:30 PM ET
- William & Mary at Michigan · 2:00 PM ET
- Princeton at Rhode Island · 2:00 PM ET
- Bakersfield at N Dakota St · 2:00 PM ET
- UAlbany at Holy Cross · 2:00 PM ET
- Temple at La Salle · 2:00 PM ET
- SC State at Charleston · 2:00 PM ET
- Missouri vs Marquette · 2:30 PM ET
- Baylor vs Texas · 3:00 PM ET
- Creighton vs Iowa · 3:00 PM ET
- High Point at Saint Louis · 3:00 PM ET
- Cleveland St at Alabama A&M · 3:00 PM ET
- Purdue FW at E Illinois · 3:00 PM ET
- Chicago St at LMU · 4:00 PM ET
- Mercyhurst at James Madison · 4:00 PM ET
- New Mexico St vs San Diego St · 4:00 PM ET
- New Haven at Penn State · 4:30 PM ET
- W Michigan at S Indiana · 4:30 PM ET
- Pepperdine at Oregon · 5:00 PM ET
- Canisius at Buffalo · 5:30 PM ET
- Cal Poly at Montana St · 6:00 PM ET
- Syracuse at St John's · 7:00 PM ET
- AR-Pine Bluff at USC · 7:00 PM ET
- Coastal at Wisconsin · 8:00 PM ET
- Florida A&M at UTEP · 8:00 PM ET
- Alabama St at San José St · 9:00 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.