Tarleton State Texans vs Drake Bulldogs basketball preview & prediction
Mon, Nov 16 · 7:30 PM ET · Knapp Center, Des Moines, IA
Our play
Pace & total
possessions per 40 minutesProjected possessions: 71.1, from each team's opponent-adjusted tempo. On raw season pace, Drake is the faster team (71.1, #170 of 365) and Tarleton St the slower (70.7, #185). 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 | 69.6%#57 | 66.7%#274 | 58.0% |
| Short 2 (≤9 ft) | — | 0.0%#1 | 38.2% |
| Mid 2 (10 ft+) | 25.0%#245 | 50.0%#285 | 34.7% |
| Three | 40.0%#56 | 42.9%#324 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 72.2%#35 | 33.3%#3 | 58.0% |
| Short 2 (≤9 ft) | 20.0%#275 | 75.0%#336 | 38.2% |
| Mid 2 (10 ft+) | 33.3%#174 | 0.0%#1 | 34.7% |
| Three | 32.0%#181 | 42.9%#324 | 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 lineDrake has more extra scoring chances per game: +9.4 (#59 of 365) to Tarleton St’s −3.2 (#226).
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
| # | Player | Pos | Cl | Ht | GP-GS | MPG | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4 | G | So | 6'2" | 2-2 | 34.5 | 16.0 | 8.0 | 3.5 | 1.5 | 57.1% | 36.4% | 5.5 | 61.5% | 24.2% | Active | |
| 3 | G | Sr | 6'7" | 2-2 | 33.0 | 16.5 | 6.5 | 2.5 | 2.0 | 61.1% | 0.0% | 2.0 | 55.0% | 26.4% | Active | |
| 2 | G | Sr | 6'5" | 2-2 | 30.0 | 13.0 | 1.0 | 5.5 | 4.0 | 58.8% | 66.7% | 3.0 | 75.0% | 26.7% | Active | |
| 13 | G | Sr | 6'0" | 2-2 | 22.5 | 6.0 | 2.0 | 1.5 | 1.5 | 75.0% | 57.1% | 3.5 | — | 13.5% | Active | |
| 11 | F | Sr | 6'9" | 2-2 | 20.5 | 11.0 | 3.5 | 0.5 | 2.0 | 80.0% | 50.0% | 2.0 | 100.0% | 22.7% | Active | |
| 7 | G | Sr | 6'7" | 2-0 | 18.5 | 5.5 | 3.5 | 0.0 | 0.0 | 50.0% | 0.0% | 1.0 | 100.0% | 15.6% | Active | |
| 8 | G | So | 6'5" | 2-0 | 17.5 | 8.5 | 1.5 | 1.5 | 1.5 | 42.5% | 14.3% | 3.5 | — | 35.9% | Active | |
| 0 | G | Jr | 6'4" | 1-0 | 32.0 | 2.0 | 8.0 | 5.0 | 1.0 | 0.0% | 0.0% | 1.0 | 50.0% | 12.2% | Active | |
| 35 | F | So | 6'8" | 2-0 | 11.0 | 7.5 | 3.0 | 0.0 | 0.5 | 100.0% | — | 0.0 | 83.3% | 22.0% | Active | |
| 44 | F | Sr | 6'9" | 1-0 | 9.0 | 6.0 | 1.0 | 1.0 | 1.0 | 75.0% | 0.0% | 1.0 | — | 31.4% | Active | |
| 6 | G | Fr | 6'5" | 1-0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% | Missed last | |
| 15 | F | Sr | 6'10" | 1-0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% | Missed last |
Trends
Results against the closing spread and total, last ten games| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 10 | UT Dallas Comets | H | W 76–57 | — | — | — | — | — | — | — |
| Nov 6 | San Diego | A | L 90–96 OT | +7.5 | W+1.5 | 148.0 | O186 | 113.2 | 120.7 | 79.5 |
| Nov 2 | Cameron Aggies | H | W 86–60 | — | — | — | — | 113.0 | 78.9 | 76.1 |
| Mar 11 | Abilene Chrstn | N | L 78–84 | +1.0 | L−5.0 | 135.0 | O162 | 102.0 | 109.8 | 76.5 |
| Mar 5 | UT Arlington | H | L 60–65 | −1.0 | L−6.0 | 136.0 | U125 | 99.2 | 107.4 | 60.5 |
| Feb 28 | CA Baptist | A | L 67–82 | +7.5 | L−7.5 | 139.0 | O149 | 100.2 | 122.7 | 66.8 |
| Feb 26 | Utah Valley | A | L 72–79 | +17.0 | W+10.0 | 141.5 | O151 | 103.7 | 113.8 | 69.4 |
| Feb 21 | Utah Tech | H | L 72–80 | −1.5 | L−9.5 | 141.0 | O152 | 111.1 | 123.4 | 64.8 |
| Feb 19 | Southern Utah | H | W 78–74 | −5.0 | L−1.0 | 145.0 | O152 | 116.5 | 110.5 | 67.0 |
| Feb 16 | Abilene Chrstn | H | W 65–62 OT | +1.0 | W+4.0 | 133.5 | U127 | 85.8 | 81.8 | 75.8 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 8 | Southern | H | W 75–68 | −14.0 | L−7.0 | 151.0 | U143 | 105.5 | 95.7 | 71.1 |
| Nov 4 | Central College Dutch | H | W 101–48 | — | — | — | — | 139.3 | 66.2 | 72.5 |
| Mar 7 | UIC | N | L 51–72 | +4.5 | L−16.5 | 143.5 | U123 | 82.1 | 115.9 | 62.1 |
| Mar 6 | Belmont | N | W 100–79 | +12.5 | W+33.5 | 153.5 | O179 | 138.6 | 109.5 | 72.2 |
| Mar 5 | S Illinois | N | W 67–63 | +4.5 | W+8.5 | 138.0 | U130 | 104.0 | 97.8 | 64.4 |
| Mar 1 | Northern Iowa | H | L 53–75 | +4.0 | L−18.0 | 137.5 | U128 | 84.2 | 119.1 | 63.0 |
| Feb 25 | Valparaiso | A | L 71–74 | +3.0 | P0.0 | 147.5 | U145 | 111.6 | 116.3 | 63.6 |
| Feb 18 | S Illinois | H | L 61–66 | +1.5 | L−3.5 | 150.0 | U127 | 86.4 | 93.5 | 70.6 |
| Feb 15 | Northern Iowa | A | L 62–86 | +8.5 | L−15.5 | 138.5 | O148 | 94.5 | 131.0 | 65.6 |
| Feb 12 | UIC | H | L 70–80 | −1.0 | L−11.0 | 146.5 | O150 | 106.7 | 122.0 | 65.6 |
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- Jordan Mizell 27.6 mpg, 5.3 ppg · transferred to Texas A&M-CC
- Kaia Isaac 25.3 mpg, 5.6 ppg · transferred to Portland
- Freddy Hicks 22.0 mpg, 7.3 ppg · not on a D1 roster yet
- Dior Johnson 16.4 mpg, 15.0 ppg · transferred to UCF
- Ocypher Owens 16.1 mpg, 4.0 ppg · not on a D1 roster yet
- Cam McDowell 15.7 mpg, 9.1 ppg · not on a D1 roster yet
- Caleb Blackwell from UTEP · 27.5 mpg, 9.5 ppg last season
- Isaac Harrell from Elon · 25.8 mpg, 7.4 ppg last season
- Franck Emmou from Texas St · 21.8 mpg, 7.0 ppg last season
- TJ Cope from LSU N Orleans · 20.7 mpg, 8.0 ppg last season
- JaVar Daniel from West Georgia · 18.6 mpg, 7.2 ppg last season
- Josh Hayes from Utah · 13.3 mpg, 2.8 ppg last season
Returns 16% 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).
- Jalen Quinn 33.6 mpg, 19.7 ppg · not on a D1 roster yet
- Okku Federiko 23.3 mpg, 8.6 ppg · transferred to Northwestern
- Jaehshon Thomas 20.7 mpg, 8.6 ppg · not on a D1 roster yet
- Isaiah Carr 11.0 mpg, 3.5 ppg · not on a D1 roster yet
- Braden Appelhans 10.9 mpg, 4.2 ppg · transferred to Xavier
- Wilguens Jr. Exacte 10.3 mpg, 3.9 ppg · transferred to Mount St Marys
- Gabe Oldham from Denver · 25.6 mpg, 5.6 ppg last season
- Jon Carroll from Morehead St · 24.6 mpg, 11.2 ppg last season
- Dre Kindell from Wichita St · 17.3 mpg, 5.9 ppg last season
- Bryson Bahl no D1 minutes last season
- LJ Rush no D1 minutes last season
- Miles Flemons no D1 minutes last season
Returns 46% of last season's minutes; lost 2 of its top 5 (1 transferred).
Head-to-head
this season and lastMore games on Mon, Nov 16
- Alcorn St at Maryland · 6:00 PM ET
- Iona at UMBC · 6:00 PM ET
- Prairie View at Ohio State · 6:30 PM ET
- Jacksonville at Georgia · 7:00 PM ET
- Richmond at Virginia Tech · 7:00 PM ET
- The Citadel at Clemson · 7:00 PM ET
- St Thomas at Long Island · 7:00 PM ET
- Grambling at Kentucky · 7:00 PM ET
- Western KY at Tulsa · 7:00 PM ET
- E Kentucky at Kent State · 7:00 PM ET
- Montana at Kansas St · 8:00 PM ET
- W Illinois at Minnesota · 8:00 PM ET
- C Arkansas at Oklahoma St · 8:00 PM ET
- Abilene Chrstn at Missouri St · 8:00 PM ET
- Columbia at Northwestern · 8:00 PM ET
- SIUE at North Dakota · 8:00 PM ET
- SE Louisiana at Texas A&M · 8:30 PM ET
- East Texas A&M at Oregon St · 9:30 PM ET
- Portland St at Saint Mary's · 10:00 PM ET
- Texas Southern at UC San Diego · 10:00 PM ET
- Long Beach St at UCLA · 10:00 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.