Incarnate Word Cardinals vs Texas State Bobcats basketball preview & prediction
Wed, Nov 18 · 8:00 PM ET · Strahan Arena at the University Events Center, San Marcos, TX
Our play
Pace & total
possessions per 40 minutesProjected possessions: 68.0, from each team's opponent-adjusted tempo. On raw season pace, Incarnate Word is the faster team (71.9, #141 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 | 50.0%#261 | 55.0%#134 | 58.0% |
| Short 2 (≤9 ft) | 26.7%#248 | 50.0%#243 | 38.2% |
| Mid 2 (10 ft+) | 42.9%#94 | 45.5%#265 | 34.7% |
| Three | 25.0%#299 | 17.6%#6 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 47.8%#291 | 55.6%#137 | 58.0% |
| Short 2 (≤9 ft) | 57.1%#53 | 50.0%#243 | 38.2% |
| Mid 2 (10 ft+) | 80.0%#9 | 56.3%#318 | 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 Incarnate Word’s −7.8 (#284).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 24 | G | Sr | 6'3" | 3-3 | 32.7 | 35 | — | Started last | 9.0 | 1.0 | 1.7 | 2.7 | 50.0% | 33.3% | 5.0 | 75.0% | 18.4% | |
| 5 | G | Sr | 6'0" | 3-2 | 29.7 | 32 | — | Bench | 9.7 | 2.0 | 2.3 | 1.0 | 30.4% | 18.8% | 5.3 | 80.0% | 23.6% | |
| 21 | F | Jr | 6'9" | 3-3 | 29.3 | 27 | — | Started last | 12.3 | 6.3 | 0.3 | 2.7 | 58.6% | — | 0.0 | 33.3% | 25.6% | |
| 0 | F | So | 6'7" | 3-3 | 28.0 | 37 | — | Started last | 7.3 | 5.3 | 0.7 | 1.3 | 35.2% | 25.0% | 4.0 | 50.0% | 22.4% | |
| 3 | G | Jr | 6'1" | 2-2 | 33.0 | 0 | — | Missed last game | 11.5 | 2.5 | 4.0 | 5.0 | 28.9% | 23.1% | 6.5 | 75.0% | 29.1% | |
| 1 | G | Fr | 6'4" | 3-0 | 16.7 | 17 | — | Bench | 4.0 | 3.7 | 0.3 | 1.7 | 50.0% | 37.5% | 2.7 | 50.0% | 18.6% | |
| 8 | F | Fr | 6'6" | 3-1 | 12.3 | 11 | — | Started last | 2.0 | 3.3 | 1.0 | 1.3 | 100.0% | — | 0.0 | 40.0% | 12.5% | |
| 35 | C | Fr | 7'0" | 3-0 | 12.0 | 13 | — | Bench | 2.7 | 2.3 | 0.0 | 0.0 | 42.9% | — | 0.0 | 66.7% | 12.9% | |
| 6 | G | Jr | 6'5" | 2-1 | 12.0 | 24 | — | Started last | 3.0 | 1.5 | 1.0 | 1.0 | 33.3% | 0.0% | 2.0 | — | 27.0% | |
| 10 | G | Jr | 6'1" | 3-0 | 5.7 | 2 | — | Bench | 0.7 | 0.0 | 0.0 | 1.3 | 25.0% | — | 0.0 | — | 25.1% | |
| 7 | F | Jr | 6'8" | 3-0 | 3.7 | 2 | — | Bench | 0.7 | 0.3 | 0.0 | 0.3 | — | — | 0.0 | 66.7% | 11.9% |
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 8 | UTEP | A | L 60–79 | +13.5 | L−5.5 | 142.5 | U139 | 90.8 | 119.6 | 66.0 |
| Nov 5 | Chicago St | H | L 54–66 | −8.5 | L−20.5 | 143.5 | U120 | 71.7 | 87.6 | 75.3 |
| Nov 2 | Oklahoma St | A | L 60–91 | +27.5 | L−3.5 | 162.0 | U151 | 80.8 | 122.6 | 74.2 |
| Mar 2 | SF Austin | H | L 68–76 | +7.0 | L−1.0 | 143.5 | O144 | 113.0 | 126.2 | 60.2 |
| Feb 28 | Lamar | H | W 72–60 | −1.0 | W+11.0 | 138.0 | U132 | 113.3 | 94.4 | 63.6 |
| Feb 23 | N'Western St | A | L 49–54 | +2.5 | L−2.5 | 138.0 | U103 | 81.6 | 89.9 | 60.1 |
| Feb 21 | East Texas A&M | A | W 82–73 | +4.0 | W+13.0 | 146.5 | O155 | 143.4 | 127.6 | 57.2 |
| Feb 16 | LSU N Orleans | H | L 64–78 | −2.0 | L−16.0 | 153.5 | U142 | 99.2 | 120.9 | 64.5 |
| Feb 14 | Nicholls | H | L 83–91 | −1.5 | L−9.5 | 149.0 | O174 | 126.5 | 138.7 | 65.6 |
| Feb 9 | SE Louisiana | A | L 62–74 | +1.0 | L−11.0 | 137.5 | U136 | 101.5 | 121.1 | 61.1 |
| 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- Tahj Staveskie 35.3 mpg, 17.3 ppg · transferred to Akron
- Davion Bailey 34.4 mpg, 18.0 ppg · not on a D1 roster yet
- Harold Woods 30.3 mpg, 8.8 ppg · not on a D1 roster yet
- Jordan Pyke 22.1 mpg, 11.0 ppg · transferred to Arkansas St
- Love Bettis 16.5 mpg, 4.1 ppg · not on a D1 roster yet
- Marcus Glover 15.4 mpg, 3.3 ppg · not on a D1 roster yet
- Ismail Habib from S Indiana · 29.1 mpg, 13.3 ppg last season
- Jayden Thomas new to D1 · 28.0 mpg, 4.0 ppg last season
- Mekhi Conner from Sacred Heart · 27.8 mpg, 7.2 ppg last season
- Brandon McCreesh from Bucknell · 6.7 mpg, 1.8 ppg last season
- D'Arrae Goodwin from San Diego · 6.2 mpg, 2.0 ppg last season
- Godswill Erheriene from Seton Hall · 1.4 mpg, 0.2 ppg last season
Returns 0% of last season's minutes; lost 5 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 Wed, Nov 18
- Jackson St at Baylor · 12:00 PM ET
- Navy at Georgetown · 6:30 PM ET
- IU Indy at Penn State · 6:30 PM ET
- Detroit Mercy at E Michigan · 6:30 PM ET
- Chattanooga at Winthrop · 6:30 PM ET
- Samford at SC Upstate · 6:30 PM ET
- Tennessee Tech at UNC Asheville · 6:30 PM ET
- Binghamton at Lafayette · 7:00 PM ET
- Brown at Holy Cross · 7:00 PM ET
- Wofford at Charleston So · 7:00 PM ET
- Chicago St at UIC · 7:00 PM ET
- NJIT at FDU · 7:00 PM ET
- UNC Wilmington at Long Island · 7:00 PM ET
- NC Central at George Mason · 7:00 PM ET
- Siena at St John's · 7:00 PM ET
- Vermont at Yale · 7:00 PM ET
- Morehead St at Ohio · 7:00 PM ET
- Elon at South Carolina · 7:00 PM ET
- Morgan St at NC A&T · 7:00 PM ET
- VMI at Longwood · 7:00 PM ET
- Furman at Radford · 7:00 PM ET
- FGCU at FAU · 7:00 PM ET
- Boston U at Merrimack · 7:00 PM ET
- Coppin St at La Salle · 7:00 PM ET
- Howard vs Duquesne · 7:00 PM ET
- James Madison at Towson · 7:00 PM ET
- Mercer at Presbyterian · 7:00 PM ET
- N Illinois at Marquette · 7:30 PM ET
- Youngstown St at Cincinnati · 7:30 PM ET
- LSU N Orleans at Texas Tech · 7:30 PM ET
- Campbell at Oklahoma · 8:00 PM ET
- Boston College at Harvard · 8:00 PM ET
- Wichita St at Loyola Chicago · 8:00 PM ET
- UL Monroe at LSU · 8:00 PM ET
- New Hampshire at Stonehill · 8:00 PM ET
- Cornell at Syracuse · 8:00 PM ET
- Purdue FW at Bradley · 8:00 PM ET
- AR-Pine Bluff at Arkansas St · 8:00 PM ET
- Florida A&M at UTSA · 8:00 PM ET
- UNC Greensboro at Gardner-Webb · 8:30 PM ET
- South Dakota at Nebraska · 8:30 PM ET
- Bethune at Creighton · 9:00 PM ET
- UConn at Arizona · 9:00 PM ET
- Portland at Colorado · 9:00 PM ET
- Fresno St at San José St · 9:00 PM ET
- Oakland at Arizona St · 9:00 PM ET
- N Colorado at BYU · 9:00 PM ET
- Alcorn St at Missouri · 9:00 PM ET
- Weber St at Utah State · 9:00 PM ET
- N Dakota St at Colorado St · 9:00 PM ET
- UC Riverside at San Diego · 9:30 PM ET
- Idaho at Nevada · 10:00 PM ET
- Washington St vs Hawai'i · 10:00 PM ET
- Texas Southern at San Diego St · 10:00 PM ET
- Fullerton at UCLA · 10:30 PM ET
- Louisiana at San Francisco · TBD
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.