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 margin is the same build seen from the home side; positive numbers help Ohio.
Pace & total
possessions per 40 minutesProjected possessions: 69.7, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Ohio is the faster team (70.4, #79 of 365) and Toledo the slower (69.5, #114). 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 | 57.3%#220 | 58.6%#169 | 58.6% |
| Short 2 (≤9 ft) | 52.0%#6 | 39.8%#189 | 39.5% |
| Mid 2 (10 ft+) | 46.6%#5 | 38.8%#192 | 38.0% |
| Three | 37.0%#29 | 36.8%#340 | 33.7% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 61.2%#87 | 61.9%#299 | 58.6% |
| Short 2 (≤9 ft) | 43.9%#83 | 53.7%#363 | 39.5% |
| Mid 2 (10 ft+) | 44.6%#19 | 35.7%#98 | 38.0% |
| Three | 30.1%#341 | 34.4%#215 | 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 numbersToledo has more extra scoring chances per game: +2.0 (#99 of 365) to Ohio’s −1.1 (#236).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | Sonny Wilson | G | Jr | 6'1" | 34-34 | 36.2 | 17.0 | 3.7 | 4.6 | 1.6 | 53.7% | 37.8% | 3.3 | 69.4% | 26.5% | |
| 2 | Leroy Blyden Jr. | G | Fr | 6'1" | 34-32 | 33.4 | 16.4 | 4.0 | 4.5 | 1.9 | 55.4% | 40.7% | 5.6 | 84.6% | 26.9% | |
| 7 | Sean Craig | F | Sr | 6'7" | 34-32 | 31.6 | 11.6 | 7.3 | 1.5 | 1.1 | 55.2% | 35.6% | 3.1 | 75.0% | 20.0% | |
| 25 | Austin Parks | C | Jr | 6'10" | 34-34 | 25.2 | 10.7 | 5.6 | 1.9 | 1.8 | 62.4% | 27.3% | 0.3 | 71.3% | 22.8% | |
| 4 | Kyler Vanderjagt | G | Sr | 6'4" | 34-21 | 22.1 | 8.4 | 1.7 | 1.1 | 1.2 | 54.7% | 38.2% | 3.0 | 78.8% | 21.7% | |
| 32 | Jaylan Ouwinga | F | So | 6'9" | 34-2 | 18.6 | 6.3 | 3.4 | 0.6 | 0.9 | 53.0% | 30.8% | 1.1 | 63.6% | 20.4% | |
| 5 | Mynor Strong | G | So | 6'3" | 33-15 | 17.7 | 5.2 | 1.8 | 0.8 | 0.6 | 49.3% | 34.9% | 1.9 | 89.3% | 18.3% | |
| 11 | Will James Jr. | G | Fr | 6'4" | 34-0 | 9.4 | 3.1 | 1.7 | 0.8 | 0.6 | 54.3% | 29.4% | 0.5 | 88.2% | 19.7% | |
| 21 | London Praytor | F | Fr | 7'0" | 15-0 | 4.9 | 2.4 | 1.7 | 0.3 | 0.3 | 48.4% | 23.5% | 1.1 | 100.0% | 28.9% | |
| 22 | Tyler Ode | G | So | 6'5" | 12-0 | 3.8 | 0.8 | 0.3 | 0.2 | 0.0 | 45.5% | 25.0% | 0.7 | — | 13.8% | |
| 10 | Chris Riddle | F | So | 6'5" | 3-0 | 13.0 | 4.3 | 2.0 | 1.7 | 1.7 | 65.0% | 20.0% | 1.7 | — | 21.7% | |
| 0 | Toby Nwokolo | F | Fr | 6'6" | 6-0 | 2.7 | 1.0 | 0.2 | 0.2 | 0.0 | 50.0% | 0.0% | 0.2 | 0.0% | 22.0% |
| # | Player | Pos | Cl | Ht | GP-GS | MPG | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13 | Jackson Paveletzke | G | Sr | 6'2" | 31-31 | 36.7 | 17.3 | 3.0 | 5.3 | 2.3 | 51.1% | 31.6% | 3.2 | 80.5% | 26.4% | |
| 10 | Aidan Hadaway | F | Sr | 6'8" | 32-32 | 31.8 | 14.4 | 7.4 | 2.1 | 1.9 | 54.3% | 30.1% | 4.6 | 69.7% | 26.3% | |
| 0 | Ajay Sheldon | G | Sr | 6'1" | 32-30 | 30.8 | 7.5 | 2.4 | 1.9 | 1.2 | 50.9% | 37.1% | 5.6 | 70.0% | 15.3% | |
| 1 | Javan Simmons | F | Jr | 6'7" | 31-31 | 27.1 | 15.1 | 5.7 | 1.6 | 1.7 | 54.6% | 20.0% | 1.0 | 68.5% | 30.4% | |
| 4 | JJ Kelly | G | Fr | 6'6" | 31-26 | 26.6 | 8.6 | 3.8 | 0.6 | 0.9 | 58.0% | 32.9% | 2.4 | 77.3% | 17.2% | |
| 22 | Jalen Breath | F | Sr | 6'8" | 28-1 | 13.4 | 3.7 | 3.0 | 0.4 | 0.8 | 52.9% | 0.0% | 0.0 | 41.7% | 18.8% | |
| 3 | Dior Conners | G | Sr | 6'3" | 31-3 | 11.5 | 4.2 | 1.2 | 0.7 | 0.6 | 42.2% | 27.5% | 2.9 | 78.8% | 24.4% | |
| 6 | Elijah Elliott | G | So | 6'3" | 13-5 | 21.5 | 4.1 | 3.5 | 2.0 | 1.2 | 34.2% | 22.7% | 1.7 | 63.6% | 16.7% | |
| 17 | Kiir Kuany | F | Fr | 6'9" | 31-1 | 8.9 | 3.5 | 1.4 | 0.2 | 0.3 | 57.2% | 24.1% | 0.9 | 73.7% | 20.5% | |
| 21 | Jesse Burris | G | Fr | 6'5" | 23-0 | 10.4 | 3.5 | 1.3 | 0.2 | 0.5 | 45.0% | 28.6% | 2.1 | 90.0% | 23.1% | |
| 5 | Ayden Evans | F | So | 6'10" | 11-0 | 8.3 | 2.3 | 1.1 | 0.3 | 0.3 | 47.7% | 16.7% | 0.5 | 66.7% | 17.5% | |
| 24 | Jordan Fisher | F | Fr | 6'5" | 5-0 | 4.4 | 3.8 | 0.4 | 0.2 | 0.2 | 53.6% | 20.0% | 1.0 | 66.7% | 46.5% | |
| 11 | Carter Reese | G | Jr | 6'3" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — | |
| 15 | Chase Boals | F | Fr | 6'5" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — | |
| 8 | Zay Mosley | F | Fr | 6'7" | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | Sonny Wilson | G | Jr | 6'1" | 34-34 | 36.2 | 17.0 | 3.7 | 4.6 | 1.6 | 53.7% | 37.8% | 3.3 | 69.4% | 26.5% | |
| 2 | Leroy Blyden Jr. | G | Fr | 6'1" | 34-32 | 33.4 | 16.4 | 4.0 | 4.5 | 1.9 | 55.4% | 40.7% | 5.6 | 84.6% | 26.9% | |
| 7 | Sean Craig | F | Sr | 6'7" | 34-32 | 31.6 | 11.6 | 7.3 | 1.5 | 1.1 | 55.2% | 35.6% | 3.1 | 75.0% | 20.0% | |
| 25 | Austin Parks | C | Jr | 6'10" | 34-34 | 25.2 | 10.7 | 5.6 | 1.9 | 1.8 | 62.4% | 27.3% | 0.3 | 71.3% | 22.8% | |
| 4 | Kyler Vanderjagt | G | Sr | 6'4" | 34-21 | 22.1 | 8.4 | 1.7 | 1.1 | 1.2 | 54.7% | 38.2% | 3.0 | 78.8% | 21.7% | |
| 32 | Jaylan Ouwinga | F | So | 6'9" | 34-2 | 18.6 | 6.3 | 3.4 | 0.6 | 0.9 | 53.0% | 30.8% | 1.1 | 63.6% | 20.4% | |
| 5 | Mynor Strong | G | So | 6'3" | 33-15 | 17.7 | 5.2 | 1.8 | 0.8 | 0.6 | 49.3% | 34.9% | 1.9 | 89.3% | 18.3% | |
| 11 | Will James Jr. | G | Fr | 6'4" | 34-0 | 9.4 | 3.1 | 1.7 | 0.8 | 0.6 | 54.3% | 29.4% | 0.5 | 88.2% | 19.7% | |
| 21 | London Praytor | F | Fr | 7'0" | 15-0 | 4.9 | 2.4 | 1.7 | 0.3 | 0.3 | 48.4% | 23.5% | 1.1 | 100.0% | 28.9% | |
| 22 | Tyler Ode | G | So | 6'5" | 12-0 | 3.8 | 0.8 | 0.3 | 0.2 | 0.0 | 45.5% | 25.0% | 0.7 | — | 13.8% | |
| 10 | Chris Riddle | F | So | 6'5" | 3-0 | 13.0 | 4.3 | 2.0 | 1.7 | 1.7 | 65.0% | 20.0% | 1.7 | — | 21.7% | |
| 0 | Toby Nwokolo | F | Fr | 6'6" | 6-0 | 2.7 | 1.0 | 0.2 | 0.2 | 0.0 | 50.0% | 0.0% | 0.2 | 0.0% | 22.0% |
Trends
Last 10 games of 2025-26| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 14 | Akron | N | L 76–79 | +8.0 | W+5.0 | 157.5 | U155 | 111.4 | 115.8 | 68.2 |
| Mar 13 | UMass | N | W 77–67 | −3.0 | W+7.0 | 158.0 | U144 | 109.5 | 95.3 | 70.3 |
| Mar 12 | Bowling Green | N | W 77–76 | −1.5 | L−0.5 | 152.0 | O153 | 113.1 | 111.6 | 68.1 |
| Mar 6 | Buffalo | H | W 99–78 | −5.5 | W+15.5 | 156.5 | O177 | 151.8 | 119.6 | 65.2 |
| Mar 3 | #19Miami OH | A | L 72–74 | +8.0 | W+6.0 | 162.5 | U146 | 104.7 | 107.6 | 68.8 |
| Feb 28 | Ohio | A | W 79–67 | +2.5 | W+14.5 | 159.0 | U146 | 119.4 | 101.2 | 66.2 |
| Feb 24 | N Illinois | H | W 79–69 | −12.5 | L−2.5 | 150.0 | U148 | 119.5 | 104.3 | 66.1 |
| Feb 21 | E Michigan | H | W 94–75 | −8.5 | W+10.5 | 147.0 | O169 | 131.9 | 105.2 | 71.3 |
| Feb 14 | Bowling Green | A | L 70–80 | +4.0 | L−6.0 | 150.0 | P150 | 106.7 | 122.0 | 65.6 |
| Feb 11 | W Michigan | A | W 90–79 | −6.5 | W+4.5 | 154.5 | O169 | 131.0 | 115.0 | 68.7 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 12 | Kent State | N | L 75–86 | +3.5 | L−7.5 | 160.5 | O161 | 105.7 | 121.1 | 71.0 |
| Mar 6 | #19Miami OH | H | L 108–110 OT | +3.5 | W+1.5 | 160.0 | O218 | 129.8 | 132.3 | 83.2 |
| Mar 3 | UMass | A | L 82–94 | +1.5 | L−10.5 | 156.5 | O176 | 106.9 | 122.6 | 76.7 |
| Feb 28 | Toledo | H | L 67–79 | −2.5 | L−14.5 | 159.0 | U146 | 101.2 | 119.4 | 66.2 |
| Feb 21 | N Illinois | A | W 74–66 | −5.5 | W+2.5 | 150.0 | U140 | 114.6 | 102.2 | 64.6 |
| Feb 17 | Ball State | H | W 69–57 | −9.5 | W+2.5 | 144.5 | U126 | 115.4 | 95.3 | 59.8 |
| Feb 13 | #23Miami OH | A | L 74–90 | +7.5 | L−8.5 | 164.5 | U164 | 102.9 | 125.2 | 71.9 |
| Feb 7 | Old Dominion | A | L 72–78 | −3.5 | L−9.5 | 156.0 | U150 | 111.0 | 120.3 | 64.8 |
| Feb 3 | W Michigan | H | W 91–71 | −10.5 | W+9.5 | 156.0 | O162 | 131.6 | 102.7 | 69.2 |
| Jan 31 | Buffalo | A | W 95–83 | +2.5 | W+14.5 | 156.5 | O178 | 132.7 | 115.9 | 71.6 |
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 inputReturns 99% 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.)
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 last| Date | Season | Result |
|---|---|---|
| Sat, Feb 28 | 2025-26 | Toledo 79 – 67 Ohio |
| Tue, Jan 13 | 2025-26 | Ohio 85 – 101 Toledo |
The 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.