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 147.3 against a projected 147.4. The margin is the same build seen from the home side; positive numbers help Pitt.
Pace & total
possessions per 40 minutesProjected possessions: 66.0, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Penn State is the faster team (67.5, #224 of 365) and Pitt the slower (64.5, #340). 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 | 62.1%#69 | 60.0%#225 | 58.6% |
| Short 2 (≤9 ft) | 42.5%#111 | 44.3%#278 | 39.5% |
| Mid 2 (10 ft+) | 42.8%#42 | 38.8%#193 | 38.0% |
| Three | 32.4%#263 | 35.2%#263 | 33.7% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 57.3%#217 | 67.3%#362 | 58.6% |
| Short 2 (≤9 ft) | 35.4%#281 | 35.2%#63 | 39.5% |
| Mid 2 (10 ft+) | 43.1%#35 | 43.7%#338 | 38.0% |
| Three | 33.4%#206 | 38.8%#363 | 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 numbersPenn State has more extra scoring chances per game: +1.5 (#118 of 365) to Pitt’s +1.2 (#131).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10 | Josh Reed | F | Sr | 6'8" | 32-31 | 28.2 | 11.5 | 4.1 | 1.0 | 1.1 | 55.3% | 36.8% | 2.7 | 87.2% | 22.0% | |
| 4 | Kayden Mingo | G | Fr | 6'3" | 28-28 | 32.1 | 13.7 | 3.5 | 4.3 | 2.0 | 51.2% | 24.4% | 3.1 | 70.5% | 26.9% | |
| 3 | Ivan Juric | F | Fr | 7'0" | 30-26 | 26.4 | 10.2 | 5.3 | 0.8 | 1.9 | 61.6% | 28.3% | 1.8 | 66.1% | 22.5% | |
| 7 | Dominick Stewart | G | So | 6'5" | 32-24 | 22.5 | 6.6 | 2.2 | 1.6 | 0.8 | 51.5% | 34.8% | 3.5 | 79.1% | 18.1% | |
| 9 | Melih Tunca | G | Fr | 6'5" | 31-12 | 22.8 | 7.8 | 2.0 | 2.4 | 1.4 | 50.3% | 31.3% | 2.1 | 77.0% | 22.1% | |
| 11 | Eli Rice | G | So | 6'8" | 29-18 | 19.8 | 6.7 | 1.7 | 0.2 | 0.6 | 51.6% | 39.0% | 3.6 | 77.3% | 20.3% | |
| 1 | Mason Blackwood | F | Fr | 6'7" | 26-1 | 12.3 | 2.6 | 1.8 | 0.2 | 0.3 | 54.5% | 22.2% | 1.0 | 77.8% | 12.5% | |
| 22 | Sasa Ciani | F | Jr | 6'10" | 28-4 | 10.0 | 2.1 | 1.9 | 0.2 | 0.4 | 39.8% | 20.0% | 0.2 | 68.2% | 16.0% | |
| 16 | Tibor Mirtic | F | Fr | 6'9" | 15-1 | 14.2 | 3.7 | 3.3 | 0.7 | 0.7 | 54.3% | 33.3% | 0.2 | 30.8% | 17.6% | |
| 21 | Justin Houser | F | Fr | 7'0" | 18-0 | 6.2 | 1.4 | 1.1 | 0.2 | 0.3 | 50.0% | 33.3% | 0.5 | 62.5% | 16.2% | |
| 30 | Chris Lotito | F | Fr | 6'7" | 4-0 | 1.5 | 0.0 | 0.3 | 0.0 | 0.3 | — | — | 0.0 | — | 9.7% | |
| 12 | Reggie Grodin | G | Fr | 6'5" | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7 | Damarco Minor | G | Sr | 6'0" | 33-32 | 32.1 | 8.5 | 3.8 | 3.4 | 1.5 | 48.3% | 31.6% | 5.3 | 88.3% | 18.4% | |
| 8 | Omari Witherspoon | G | Fr | 6'4" | 33-25 | 27.8 | 7.5 | 3.0 | 2.5 | 2.4 | 43.2% | 28.7% | 2.6 | 64.5% | 23.6% | |
| 13 | Roman Siulepa | F | Fr | 6'6" | 33-33 | 26.7 | 10.0 | 5.5 | 0.9 | 1.0 | 51.5% | 29.6% | 3.0 | 50.0% | 24.7% | |
| 3 | Brandin Cummings | G | So | 6'3" | 19-9 | 26.3 | 12.5 | 1.5 | 2.1 | 1.2 | 50.5% | 32.6% | 4.8 | 71.8% | 29.5% | |
| 21 | Macari Moore | G | Fr | 6'3" | 21-0 | 6.1 | 1.4 | 0.9 | 0.8 | 0.7 | 46.0% | 75.0% | 0.2 | 87.5% | 20.6% | |
| 4 | Papa Amadou Kante | F | So | 6'10" | 8-0 | 14.3 | 2.8 | 5.4 | 0.9 | 0.4 | 45.0% | 0.0% | 0.3 | 44.4% | 14.3% | |
| 12 | Kieran Mullen | C | Fr | 7'0" | 18-0 | 6.0 | 0.8 | 1.2 | 0.1 | 0.3 | 41.7% | 0.0% | 0.1 | 100.0% | 11.0% | |
| 0 | Amdy Ndiaye | F | So | 6'10" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — | |
| 35 | Benjamin Mayhew | F | Jr | 6'4" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — | |
| 1 | Dishon Jackson | C | Sr | 6'11" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — | |
| 6 | Henry Lau | F | Fr | 6'7" | 0-0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | — | |
| 44 | Jajuan Nelson | F | Jr | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10 | Josh Reed | F | Sr | 6'8" | 32-31 | 28.2 | 11.5 | 4.1 | 1.0 | 1.1 | 55.3% | 36.8% | 2.7 | 87.2% | 22.0% | |
| 4 | Kayden Mingo | G | Fr | 6'3" | 28-28 | 32.1 | 13.7 | 3.5 | 4.3 | 2.0 | 51.2% | 24.4% | 3.1 | 70.5% | 26.9% | |
| 3 | Ivan Juric | F | Fr | 7'0" | 30-26 | 26.4 | 10.2 | 5.3 | 0.8 | 1.9 | 61.6% | 28.3% | 1.8 | 66.1% | 22.5% | |
| 7 | Dominick Stewart | G | So | 6'5" | 32-24 | 22.5 | 6.6 | 2.2 | 1.6 | 0.8 | 51.5% | 34.8% | 3.5 | 79.1% | 18.1% | |
| 9 | Melih Tunca | G | Fr | 6'5" | 31-12 | 22.8 | 7.8 | 2.0 | 2.4 | 1.4 | 50.3% | 31.3% | 2.1 | 77.0% | 22.1% | |
| 11 | Eli Rice | G | So | 6'8" | 29-18 | 19.8 | 6.7 | 1.7 | 0.2 | 0.6 | 51.6% | 39.0% | 3.6 | 77.3% | 20.3% | |
| 1 | Mason Blackwood | F | Fr | 6'7" | 26-1 | 12.3 | 2.6 | 1.8 | 0.2 | 0.3 | 54.5% | 22.2% | 1.0 | 77.8% | 12.5% | |
| 22 | Sasa Ciani | F | Jr | 6'10" | 28-4 | 10.0 | 2.1 | 1.9 | 0.2 | 0.4 | 39.8% | 20.0% | 0.2 | 68.2% | 16.0% | |
| 16 | Tibor Mirtic | F | Fr | 6'9" | 15-1 | 14.2 | 3.7 | 3.3 | 0.7 | 0.7 | 54.3% | 33.3% | 0.2 | 30.8% | 17.6% | |
| 21 | Justin Houser | F | Fr | 7'0" | 18-0 | 6.2 | 1.4 | 1.1 | 0.2 | 0.3 | 50.0% | 33.3% | 0.5 | 62.5% | 16.2% | |
| 30 | Chris Lotito | F | Fr | 6'7" | 4-0 | 1.5 | 0.0 | 0.3 | 0.0 | 0.3 | — | — | 0.0 | — | 9.7% | |
| 12 | Reggie Grodin | G | Fr | 6'5" | 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 10 | Northwestern | N | L 66–76 | +5.0 | L−5.0 | 144.5 | U142 | 103.9 | 119.6 | 63.6 |
| Mar 8 | Rutgers | A | L 62–74 | +5.0 | L−7.0 | 150.5 | U136 | 89.5 | 106.8 | 69.3 |
| Mar 4 | Ohio State | H | L 62–94 | +7.0 | L−25.0 | 152.0 | O156 | 95.7 | 145.1 | 64.8 |
| Feb 28 | Iowa | H | W 71–69 | +9.0 | W+11.0 | 144.0 | U140 | 119.5 | 116.1 | 59.4 |
| Feb 21 | #9Nebraska | A | L 64–87 | +17.5 | L−5.5 | 147.5 | O151 | 92.2 | 125.4 | 69.4 |
| Feb 18 | Rutgers | H | L 72–85 | −4.5 | L−17.5 | 149.0 | O157 | 105.6 | 124.7 | 68.2 |
| Feb 14 | Oregon | A | L 72–83 | +6.5 | L−4.5 | 147.0 | O155 | 109.7 | 126.5 | 65.6 |
| Feb 11 | Washington | A | W 63–60 | +12.5 | W+15.5 | 153.0 | U123 | 96.3 | 91.7 | 65.4 |
| Feb 8 | USC | H | L 75–77 | +3.0 | W+1.0 | 157.0 | U152 | 103.7 | 106.4 | 72.3 |
| Feb 5 | #2Michigan | A | L 69–110 | +26.5 | L−14.5 | 162.0 | O179 | 96.9 | 154.5 | 71.2 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 11 | NC State | N | L 88–98 | +9.0 | L−1.0 | 144.5 | O186 | 133.6 | 148.8 | 65.8 |
| Mar 10 | Stanford | N | W 64–63 | +5.0 | W+6.0 | 136.5 | U127 | 109.3 | 107.6 | 58.6 |
| Mar 7 | Syracuse | A | W 71–69 OT | +6.5 | W+8.5 | 142.0 | U140 | 104.0 | 101.0 | 68.3 |
| Mar 4 | Florida St | H | L 74–75 | +1.5 | W+0.5 | 145.0 | O149 | 112.8 | 114.3 | 65.6 |
| Feb 28 | California | A | W 72–56 | +7.5 | W+23.5 | 143.5 | U128 | 107.5 | 83.6 | 67.0 |
| Feb 25 | Stanford | A | L 67–75 | +8.0 | P0.0 | 138.5 | O142 | 109.1 | 122.1 | 61.4 |
| Feb 21 | Notre Dame | H | W 73–68 | −2.5 | W+2.5 | 139.0 | O141 | 116.4 | 108.4 | 62.7 |
| Feb 14 | #11North Carolina | A | L 65–79 | +11.5 | L−2.5 | 145.0 | U144 | 99.3 | 120.7 | 65.4 |
| Feb 10 | #4Duke | H | L 54–70 | +17.5 | W+1.5 | 136.5 | U124 | 88.1 | 114.2 | 61.3 |
| Feb 7 | SMU | H | L 67–86 | +4.5 | L−14.5 | 147.5 | O153 | 101.4 | 130.2 | 66.1 |
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- Freddie Dilione V 27.5 mpg, 14.0 ppg · transferred to Georgia
- Reggie Grodin no D1 minutes last season
No incoming D1 transfers are listed on ESPN's roster yet — until they are, returning shares read high.
Returns 86% of last season's minutes; lost 1 of its top 5 (1 transferred). 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).
- Cameron Corhen 33.8 mpg, 13.6 ppg · not on a D1 roster yet
- Barry Dunning Jr. 31.8 mpg, 12.5 ppg · not on a D1 roster yet
- Nojus Indrusaitis 23.6 mpg, 9.1 ppg · transferred to California
- Benjamin Mayhew no D1 minutes last season
- Henry Lau no D1 minutes last season
- Jajuan Nelson no D1 minutes last season
- Amdy Ndiaye no D1 minutes last season
- Dishon Jackson 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 2 of its top 5.
Head-to-head
this season and last| Date | Season | Result |
|---|---|---|
| Sun, Dec 21 | 2025-26 | Pitt 80 – 46 Penn State(N) |
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.