CBB Matchups
Every D1 game with tempo-free ratings, four factors and market lines, one place.
How the projection is built
each step, from an average D-I game to this oneSteps are rounded to one decimal, so they can differ from the total by 0.1: the total steps add to 156.2 against a projected 156.3. The margin is the same build seen from the home side; positive numbers help Kansas St.
Pace & total
possessions per 40 minutesProjected possessions: 72.7, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Kansas St is the faster team (73.8, #7 of 365) and Gonzaga the slower (70.2, #88). When tempos clash, the slower team usually pulls the pace harder (study weights 0.80 vs 0.66).
How this game plays
what the study found each side's numbers actually do when these two teams meetShot diet
Where each offense shoots from and where each defense lets teams shoot · 2025-26 numbers| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 65.5%#16 | 60.6%#255 | 58.6% |
| Short 2 (≤9 ft) | 44.4%#73 | 40.8%#205 | 39.5% |
| Mid 2 (10 ft+) | 47.6%#3 | 42.0%#301 | 38.0% |
| Three | 33.3%#212 | 33.7%#166 | 33.7% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 62.6%#60 | 56.8%#109 | 58.6% |
| Short 2 (≤9 ft) | 36.6%#254 | 39.7%#186 | 39.5% |
| Mid 2 (10 ft+) | 31.9%#341 | 31.6%#14 | 38.0% |
| Three | 36.4%#43 | 30.6%#23 | 33.7% |
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 · 2025-26 numbersGonzaga has more extra scoring chances per game: +7.5 (#5 of 365) to Kansas St’s −3.7 (#323).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5 | Emmanuel Innocenti | F | Jr | 6'5" | 35-29 | 24.4 | 6.0 | 3.8 | 1.7 | 0.5 | 53.4% | 28.4% | 2.3 | 60.6% | 14.2% | |
| 17 | Mario Saint-Supery | G | Fr | 6'3" | 35-17 | 23.1 | 8.6 | 2.8 | 3.8 | 1.5 | 51.5% | 40.3% | 3.4 | 87.8% | 22.5% | |
| 23 | Adam Miller | G | Sr | 6'3" | 35-25 | 19.3 | 7.3 | 1.6 | 1.0 | 0.5 | 51.4% | 30.2% | 3.7 | 75.0% | 21.6% | |
| 4 | Davis Fogle | G | Fr | 6'7" | 29-1 | 17.3 | 8.9 | 3.2 | 1.4 | 0.7 | 55.5% | 35.0% | 1.4 | 72.3% | 28.3% | |
| 34 | Braden Huff | F | Jr | 6'10" | 18-18 | 25.5 | 17.8 | 5.6 | 1.5 | 0.9 | 67.8% | 33.3% | 1.2 | 57.5% | 30.4% | |
| 2 | Steele Venters | G | Sr | 6'7" | 27-10 | 15.0 | 5.0 | 1.3 | 1.0 | 0.6 | 54.4% | 36.7% | 3.6 | 83.3% | 18.6% | |
| 24 | Ismaila Diagne | C | So | 7'0" | 28-3 | 6.9 | 1.1 | 2.4 | 0.1 | 0.4 | 50.0% | — | 0.0 | 40.0% | 11.8% | |
| 35 | Noah Haaland | F | Sr | 6'9" | 9-1 | 4.8 | 2.2 | 1.2 | 0.1 | 0.3 | 64.3% | 0.0% | 0.4 | 100.0% | 23.4% | |
| 10 | Joaquim ArauzMoore | G | So | 6'1" | 8-0 | 2.3 | 0.8 | 0.4 | 0.1 | 0.0 | 100.0% | 66.7% | 0.4 | 0.0% | 12.0% | |
| 14 | Alonzo Metz | G | Fr | 5'11" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — | |
| 32 | Parker Jefferson | F | Fr | 6'9" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — |
| # | Player | Pos | Cl | Ht | GP-GS | MPG | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4 | P.J. Haggerty | G | Jr | 6'4" | 31-31 | 35.2 | 23.4 | 5.3 | 3.8 | 3.3 | 52.5% | 35.1% | 3.7 | 70.1% | 37.3% | |
| 34 | Nate Johnson | G | Sr | 6'2" | 32-32 | 32.8 | 12.8 | 4.9 | 4.6 | 2.4 | 55.0% | 40.8% | 4.9 | 85.0% | 22.0% | |
| 10 | David Castillo | G | So | 6'1" | 32-16 | 28.1 | 10.3 | 1.9 | 1.8 | 1.3 | 49.7% | 35.2% | 5.0 | 82.0% | 21.6% | |
| 15 | Taj Manning | F | Jr | 6'7" | 30-17 | 20.7 | 4.2 | 5.1 | 0.9 | 0.7 | 51.0% | 18.5% | 0.9 | 69.7% | 12.1% | |
| 21 | Khamari McGriff | F | Sr | 6'9" | 28-28 | 20.1 | 9.7 | 4.4 | 1.0 | 1.0 | 68.4% | 20.0% | 0.2 | 66.7% | 21.5% | |
| 3 | C.J. Jones | G | Sr | 6'5" | 31-1 | 17.4 | 3.6 | 1.8 | 1.3 | 0.8 | 37.1% | 23.2% | 2.2 | 83.3% | 16.7% | |
| 1 | Abdi Bashir Jr. | G | Jr | 6'7" | 18-18 | 24.5 | 13.2 | 2.2 | 2.3 | 1.1 | 59.7% | 44.4% | 8.4 | 68.8% | 26.3% | |
| 22 | Dorin Buca | C | Jr | 7'2" | 27-4 | 12.9 | 3.2 | 3.3 | 0.5 | 1.1 | 52.2% | 18.2% | 0.4 | 53.3% | 17.7% | |
| 47 | Andrej Kostic | F | Fr | 6'6" | 23-0 | 13.8 | 5.2 | 1.7 | 1.0 | 0.9 | 51.9% | 37.5% | 3.5 | 76.9% | 22.8% | |
| 0 | Elias Rapieque | F | Jr | 6'9" | 20-12 | 15.3 | 3.7 | 2.5 | 1.5 | 0.7 | 54.0% | 40.0% | 1.3 | 31.6% | 14.8% | |
| 14 | Mobi Ikegwuruka | G | Jr | 6'6" | 10-1 | 12.7 | 1.9 | 2.0 | 0.4 | 0.6 | 57.1% | — | 0.0 | 50.0% | 9.6% | |
| 6 | Marcus Johnson | F | Sr | 6'7" | 14-0 | 6.3 | 2.5 | 1.1 | 0.4 | 0.6 | 48.5% | 35.5% | 2.2 | 66.7% | 27.6% | |
| 23 | Stephen Osei | F | So | 6'10" | 3-0 | 3.0 | 0.7 | 1.0 | 0.0 | 1.0 | 33.3% | — | 0.0 | — | 34.0% | |
| 2 | Exavier Wilson | G | Fr | 6'1" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — |
| # | Player | Pos | Cl | Ht | GP-GS | MPG | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5 | Emmanuel Innocenti | F | Jr | 6'5" | 35-29 | 24.4 | 6.0 | 3.8 | 1.7 | 0.5 | 53.4% | 28.4% | 2.3 | 60.6% | 14.2% | |
| 17 | Mario Saint-Supery | G | Fr | 6'3" | 35-17 | 23.1 | 8.6 | 2.8 | 3.8 | 1.5 | 51.5% | 40.3% | 3.4 | 87.8% | 22.5% | |
| 23 | Adam Miller | G | Sr | 6'3" | 35-25 | 19.3 | 7.3 | 1.6 | 1.0 | 0.5 | 51.4% | 30.2% | 3.7 | 75.0% | 21.6% | |
| 4 | Davis Fogle | G | Fr | 6'7" | 29-1 | 17.3 | 8.9 | 3.2 | 1.4 | 0.7 | 55.5% | 35.0% | 1.4 | 72.3% | 28.3% | |
| 34 | Braden Huff | F | Jr | 6'10" | 18-18 | 25.5 | 17.8 | 5.6 | 1.5 | 0.9 | 67.8% | 33.3% | 1.2 | 57.5% | 30.4% | |
| 2 | Steele Venters | G | Sr | 6'7" | 27-10 | 15.0 | 5.0 | 1.3 | 1.0 | 0.6 | 54.4% | 36.7% | 3.6 | 83.3% | 18.6% | |
| 24 | Ismaila Diagne | C | So | 7'0" | 28-3 | 6.9 | 1.1 | 2.4 | 0.1 | 0.4 | 50.0% | — | 0.0 | 40.0% | 11.8% | |
| 35 | Noah Haaland | F | Sr | 6'9" | 9-1 | 4.8 | 2.2 | 1.2 | 0.1 | 0.3 | 64.3% | 0.0% | 0.4 | 100.0% | 23.4% | |
| 10 | Joaquim ArauzMoore | G | So | 6'1" | 8-0 | 2.3 | 0.8 | 0.4 | 0.1 | 0.0 | 100.0% | 66.7% | 0.4 | 0.0% | 12.0% | |
| 14 | Alonzo Metz | G | Fr | 5'11" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — | |
| 32 | Parker Jefferson | F | Fr | 6'9" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — |
Trends
Last 10 games of 2025-26| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 21 | #11Texas | N | L 68–74 | −6.0 | L−12.0 | 147.5 | U142 | 106.3 | 115.6 | 64.0 |
| Mar 19 | #14Kennesaw St | N | W 73–64 | −20.5 | L−11.5 | 151.5 | U137 | 105.6 | 92.6 | 69.1 |
| Mar 10 | Santa Clara | N | W 79–68 | −8.0 | W+3.0 | 156.5 | U147 | 130.9 | 112.7 | 60.4 |
| Mar 9 | Oregon St | N | W 65–56 | −20.5 | L−11.5 | 145.0 | U121 | 102.9 | 88.7 | 63.1 |
| Feb 28 | Saint Mary's | A | L 59–70 | −2.5 | L−13.5 | 143.0 | U129 | 92.2 | 109.4 | 64.0 |
| Feb 25 | Portland | H | W 89–48 | −27.0 | W+14.0 | 150.0 | U137 | 131.9 | 71.2 | 67.5 |
| Feb 21 | Pacific | H | W 71–62 | −21.5 | L−12.5 | 143.5 | U133 | 116.0 | 101.3 | 61.2 |
| Feb 18 | San Francisco | A | W 80–59 | −15.5 | W+5.5 | 151.0 | U139 | 119.2 | 87.9 | 67.1 |
| Feb 14 | Santa Clara | A | W 94–86 | −5.0 | W+3.0 | 158.5 | O180 | 123.1 | 112.6 | 76.4 |
| Feb 10 | Washington St | H | W 83–53 | −21.5 | W+8.5 | 156.0 | U136 | 117.1 | 74.8 | 70.9 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 10 | BYU | N | L 91–105 | +11.0 | L−3.0 | 168.5 | O196 | 117.0 | 135.0 | 77.8 |
| Mar 7 | #14Kansas | A | L 85–104 | +17.5 | L−1.5 | 157.0 | O189 | 108.9 | 133.2 | 78.0 |
| Mar 3 | West Virginia | H | W 65–63 | +4.0 | W+6.0 | 141.5 | U128 | 97.4 | 94.4 | 66.7 |
| Feb 28 | TCU | H | L 68–77 | +3.0 | L−6.0 | 159.5 | U145 | 94.3 | 106.8 | 72.1 |
| Feb 25 | Colorado | A | L 70–79 | +6.0 | L−3.0 | 163.0 | U149 | 87.0 | 98.2 | 80.4 |
| Feb 21 | #13Texas Tech | A | L 72–100 | +12.5 | L−15.5 | 158.5 | O172 | 104.3 | 144.9 | 69.0 |
| Feb 17 | Baylor | H | W 90–74 | +3.5 | W+19.5 | 159.0 | O164 | 111.1 | 91.3 | 81.0 |
| Feb 14 | #3Houston | A | L 64–78 | +22.0 | W+8.0 | 146.0 | U142 | 84.7 | 103.2 | 75.6 |
| Feb 11 | Cincinnati | H | L 62–91 | +2.5 | L−26.5 | 147.0 | O153 | 88.0 | 129.2 | 70.4 |
| Feb 7 | TCU | A | L 82–84 | +10.0 | W+8.0 | 154.0 | O166 | 114.8 | 117.6 | 71.4 |
Records vs the closing line describe the past; ten games is a small sample.
Tale of the tape
national rank toned left for away, right for homeOffseason
roster movement into this season — descriptive, not a model input- Graham Ike 27.7 mpg, 17.6 ppg · not on a D1 roster yet
- Tyon Grant-Foster 21.5 mpg, 11.1 ppg · not on a D1 roster yet
- Jalen Warley 20.7 mpg, 6.7 ppg · not on a D1 roster yet
- Braeden Smith 17.1 mpg, 5.1 ppg · transferred to Notre Dame
- Cade Orness 0.6 mpg, 0.1 ppg · transferred to Mount St Marys
- Alonzo Metz no D1 minutes last season
- Parker Jefferson no D1 minutes last season
No incoming D1 transfers are listed on ESPN's roster yet — until they are, returning shares read high.
Returns 56% of last season's minutes; lost 3 of its top 5.
Returns 100% of last season's minutes. Teams returning at least 65% of last season's minutes have historically gained about 2.2 points of AdjEM (n=156 team-seasons, 2022-2026). (ESPN hasn't posted this season's roster yet -- this may still be last season's list.)
Head-to-head
this season and lastThe CBB Matchups tab lays out the day's Division I slate: matchup, tip time, records and rank, and — once posted — Pinnacle's spread and total (the median across books when Pinnacle has no line). 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, built bottom-up from those same numbers: expected possessions times each side's opponent-adjusted points per possession, plus home court.
What these numbers mean: line shopping.