
Purdue vs Queens prediction and matchup analysis
Purdue vs Queens is a Round of 64 game in the West Region of the 2026 NCAA Tournament. The current projected score is Purdue 90, Queens 68. Compare seed, NET rank, KenPom efficiency, injuries, player leaders, and notable wins to evaluate both teams.
Predictions
Review the projected final score, expected total, risk factors, and historical context for this NCAA Tournament matchup.
Explanation
- Purdue has the much stronger full-profile resume: 27-8 overall, No. 9 NET, KenPom No. 8, a 10-8 Quad 1 record, and a 6-0 Quad 2 record. Queens enters at 21-13 with a No. 189 NET, a 0-5 Quad 1 record, and a 0-1 Quad 2 record.
- The clearest matchup lever is Purdue's offense against Queens' defense. Purdue is No. 1 in KenPom offensive snapshot, while Queens is No. 322 in defensive efficiency.
- Purdue's season team snapshot is balanced and efficient: 81.7 points per game, 49.9% from the field, 37.9% from three, and 19.9 assists. Braden Smith, Fletcher Loyer, Trey Kaufman-Renn, and Oscar Cluff give Purdue multiple ways to score against a defense that has struggled badly versus high-major opponents.
- Queens can score and has balanced guard production, but its five Quad 1 games all ended in losses by 20, 25, 38, 28, and 41 points. That is the clearest evidence of the jump from ASUN competition to a protected Big Ten seed.
- The broader context supports the gap: Queens is making its first NCAA tournament appearance, while Purdue arrives after winning the Big Ten tournament and closing at 27-8.
Risk factors
- Queens plays faster than Purdue and has enough perimeter scoring balance to stay close for a half if its threes fall early.
- Purdue's slower tempo can naturally keep an underdog alive for stretches because fewer possessions mean fewer chances to separate.
- If Purdue gets into frontcourt foul trouble, Queens' guard-heavy lineup has a better chance to manufacture enough offense to shrink the margin.
Historical context
- NCAA upset-history tracking says 15-seeds are 11-149 all-time against 2-seeds after Robert Morris' win over Alabama in 2025, so the upset path exists but remains rare.
- Three 15-over-2 upsets came from 2021 through 2023, which is a reminder that one hot-shooting underdog can still flip a game.
- Queens is entering new ground as a first-time NCAA tournament team, while Purdue has the more typical profile of a 2-seed that usually advances through the opening round.
Explanation
- The raw scoring baseline starts high. In the season profile latest season snapshot, Purdue averages 81.7 points per game and Queens averages 84.9.
- Pace pulls the projection down from the raw scoring average. Purdue's adjusted tempo in KenPom raw file is 64.4 possessions, while Queens plays much faster at 69.6. Inference from those research: the game should land closer to the middle than to Queens' preferred speed.
- Queens' five Quad 1 games averaged 174.8 total points, but those matchups were usually played faster than Purdue prefers and often turned into defense-driven breakdowns.
- Inference from Purdue's No. 1 adjusted offense, Queens' No. 322 adjusted defense, and Queens' high-major results: Purdue can get near 90 points without this needing to become a full sprint.
- A 90-68 script best matches the data: Purdue scores efficiently, Queens gets enough offense to avoid a total collapse, and the overall pace stays moderate.
Risk factors
- If Queens forces the game into more transition possessions than Purdue wants, the total can climb into the low 160s.
- If Purdue builds a large lead early, second-half pace can stall and bench-heavy possessions can pull the total back toward the low 150s.
- If Queens does not shoot well from three, its side of the total can crater even if Purdue reaches its expected number.
Historical context
- Inference from recent 2-vs-15 tournament results: these games usually become lopsided because the favorite scores efficiently, not because both teams race into the 80s.
- Neutral-floor tournament openers often start tighter before size, depth, and shot quality separate the teams after halftime.
- Recent 15-seed upsets have usually required the underdog to stay efficient enough offensively to keep the favorite from dictating the game. That is the clearest path to a higher total here.
Team Comparison
Compare seeds, NET rankings, KenPom profiles, records, and team production side by side.
Record Statistics
| Statistic | Purdue | Queens |
|---|---|---|
| Record | 27-8 | 21-13 |
| Conference | Big Ten | ASUN |
| Road | 9-3 | 6-6 |
| Neutral | 3-1 | 1-2 |
| Home | 14-4 | 14-5 |
| Quad 1 | 10-8 | 0-5 |
| Quad 2 | 6-0 | 0-1 |
Team Statistics
| Statistic | Purdue | Queens |
|---|---|---|
| Team PPG | 81.7 | 84.9 |
| Team RPG | 35.4 | 33.8 |
| Team APG | 19.9 | 15.9 |
| Team SPG | 5.5 | 5.9 |
| Team BPG | 2.8 | 2.9 |
| FG% | 49.9% | 48.2% |
| 3P% | 37.9% | 36.0% |
| FT% | 74.3% | 73.9% |
Rankings
| Statistic | Purdue | Queens |
|---|---|---|
| Seed | #2 | #15 |
| NET Rank | #9 | #189 |
| KenPom Rank | #8 | #181 |
| KenPom Adj Off Rank | #1 | #77 |
| KenPom Adj Def Rank | #36 | #322 |
Notable matchups
Use quadrant results and marquee games to compare how each team performed against NCAA Tournament caliber competition.

Purdue
Quad 1
- W87-8011/13/2025
- W86-5611/21/2025
- L58-8112/06/2025
- W
Auburn88-6012/20/2025 - W89-7301/03/2026
- W79-7201/14/2026
- L67-6901/20/2026
- L82-8801/24/2026
- L
Indiana67-7201/27/2026 - W80-77*02/10/2026
- W78-5702/14/2026
- L80-9102/17/2026
- L74-7602/26/2026
- L74-8203/01/2026
- W
Northwestern70-6603/04/2026 - L93-9703/07/2026
- W74-5803/13/2026
- W73-6603/14/2026
Quad 2
- W97-7911/16/2025
- W
Rutgers81-6512/02/2025 - W
Washington81-7301/07/2026 - W
Southern California69-6401/17/2026 - W
Indiana93-6402/20/2026 - W
Northwestern81-6803/12/2026
Queens
Quad 1
- L74-9411/08/2025
- L69-9411/28/2025
- L
Wake Forest73-11112/14/2025 - L80-10812/16/2025
- L
Auburn65-10612/29/2025
Quad 2
- L
Duquesne81-87*11/11/2025
Player Leaders
Review the scorers, rebounders, playmakers, and efficiency leaders most likely to shape this matchup.

Purdue
- 1Braden SmithG • GP 35 • MIN 34.3FG 44.6% • 3P 36.5% • FT 81.7%14.0PPG
- 2Fletcher LoyerG • GP 35 • MIN 29.0FG 44.1% • 3P 42.1% • FT 86.2%13.8PPG
- 3Trey Kaufman-RennF • GP 33 • MIN 27.9FG 57.9% • 3P 15.4% • FT 62.5%13.6PPG
- 4Oscar CluffC • GP 35 • MIN 24.1FG 69.8% • 3P 0.0% • FT 69.2%10.6PPG
- 5C.J. CoxG • GP 35 • MIN 24.4FG 44.3% • 3P 36.4% • FT 84.8%8.3PPG
- 1Trey Kaufman-RennF • GP 33 • MIN 27.9FG 57.9% • 3P 15.4% • FT 62.5%8.5RPG
- 2Oscar CluffC • GP 35 • MIN 24.1FG 69.8% • 3P 0.0% • FT 69.2%7.4RPG
- 3Braden SmithG • GP 35 • MIN 34.3FG 44.6% • 3P 36.5% • FT 81.7%3.6RPG
- 4Daniel JacobsenC • GP 35 • MIN 13.6FG 64.5% • 3P 37.5% • FT 64.4%3.3RPG
- 5Jack BenterG • GP 34 • MIN 15.0FG 48.3% • 3P 41.2% • FT 60.9%2.7RPG
- 1Braden SmithG • GP 35 • MIN 34.3FG 44.6% • 3P 36.5% • FT 81.7%9.1APG
- 2Trey Kaufman-RennF • GP 33 • MIN 27.9FG 57.9% • 3P 15.4% • FT 62.5%2.6APG
- 3Fletcher LoyerG • GP 35 • MIN 29.0FG 44.1% • 3P 42.1% • FT 86.2%2.1APG
- 4Oscar CluffC • GP 35 • MIN 24.1FG 69.8% • 3P 0.0% • FT 69.2%1.7APG
- 5C.J. CoxG • GP 35 • MIN 24.4FG 44.3% • 3P 36.4% • FT 84.8%1.3APG
- 1Braden SmithG • GP 35 • MIN 34.3FG 44.6% • 3P 36.5% • FT 81.7%1.8SPG
- 2Gicarri HarrisG • GP 35 • MIN 15.9FG 39.4% • 3P 34.9% • FT 85.3%0.8SPG
- 3Fletcher LoyerG • GP 35 • MIN 29.0FG 44.1% • 3P 42.1% • FT 86.2%0.7SPG
- 4C.J. CoxG • GP 35 • MIN 24.4FG 44.3% • 3P 36.4% • FT 84.8%0.5SPG
- 5Oscar CluffC • GP 35 • MIN 24.1FG 69.8% • 3P 0.0% • FT 69.2%0.4SPG
- 1Daniel JacobsenC • GP 35 • MIN 13.6FG 64.5% • 3P 37.5% • FT 64.4%1.3BPG
- 2Oscar CluffC • GP 35 • MIN 24.1FG 69.8% • 3P 0.0% • FT 69.2%0.8BPG
- 3Braden SmithG • GP 35 • MIN 34.3FG 44.6% • 3P 36.5% • FT 81.7%0.2BPG
- 4Trey Kaufman-RennF • GP 33 • MIN 27.9FG 57.9% • 3P 15.4% • FT 62.5%0.2BPG
- 5C.J. CoxG • GP 35 • MIN 24.4FG 44.3% • 3P 36.4% • FT 84.8%0.1BPG
Queens
- 1Nasir MannG • GP 34 • MIN 30.4FG 49.5% • 3P 32.7% • FT 78.0%13.4PPG
- 2Yoav BermanG • GP 34 • MIN 29.3FG 42.1% • 3P 29.9% • FT 78.7%12.6PPG
- 3Jordan WatfordG • GP 34 • MIN 20.6FG 59.9% • 3P 37.5% • FT 78.0%11.9PPG
- 4Chris AshbyG • GP 34 • MIN 30.6FG 36.9% • 3P 37.5% • FT 87.8%11.7PPG
- 5Avantae ParkerF • GP 34 • MIN 22.1FG 68.5% • 3P 41.7% • FT 61.7%11.3PPG
- 1Nasir MannG • GP 34 • MIN 30.4FG 49.5% • 3P 32.7% • FT 78.0%5.8RPG
- 2Avantae ParkerF • GP 34 • MIN 22.1FG 68.5% • 3P 41.7% • FT 61.7%5.3RPG
- 3Yoav BermanG • GP 34 • MIN 29.3FG 42.1% • 3P 29.9% • FT 78.7%3.9RPG
- 4Maban JabrielF • GP 34 • MIN 19.8FG 49.7% • 3P 43.9% • FT 77.4%3.8RPG
- 5Carson SchwiegerF • GP 33 • MIN 24.5FG 43.5% • 3P 41.1% • FT 69.0%3.2RPG
- 1Jordan WatfordG • GP 34 • MIN 20.6FG 59.9% • 3P 37.5% • FT 78.0%3.8APG
- 2Yoav BermanG • GP 34 • MIN 29.3FG 42.1% • 3P 29.9% • FT 78.7%3.7APG
- 3Nasir MannG • GP 34 • MIN 30.4FG 49.5% • 3P 32.7% • FT 78.0%2.7APG
- 4Chris AshbyG • GP 34 • MIN 30.6FG 36.9% • 3P 37.5% • FT 87.8%1.5APG
- 5Avantae ParkerF • GP 34 • MIN 22.1FG 68.5% • 3P 41.7% • FT 61.7%1.1APG
- 1Nasir MannG • GP 34 • MIN 30.4FG 49.5% • 3P 32.7% • FT 78.0%1.1SPG
- 2Yoav BermanG • GP 34 • MIN 29.3FG 42.1% • 3P 29.9% • FT 78.7%0.9SPG
- 3Avantae ParkerF • GP 34 • MIN 22.1FG 68.5% • 3P 41.7% • FT 61.7%0.9SPG
- 4Jordan WatfordG • GP 34 • MIN 20.6FG 59.9% • 3P 37.5% • FT 78.0%0.7SPG
- 5Maban JabrielF • GP 34 • MIN 19.8FG 49.7% • 3P 43.9% • FT 77.4%0.6SPG
- 1Avantae ParkerF • GP 34 • MIN 22.1FG 68.5% • 3P 41.7% • FT 61.7%1.3BPG
- 2Yoav BermanG • GP 34 • MIN 29.3FG 42.1% • 3P 29.9% • FT 78.7%0.4BPG
- 3Maban JabrielF • GP 34 • MIN 19.8FG 49.7% • 3P 43.9% • FT 77.4%0.4BPG
- 4Gus LarsonF • GP 34 • MIN 11.8FG 52.1% • 3P 18.8% • FT 57.4%0.3BPG
- 5Kam ClarkF • GP 26 • MIN 7.2FG 31.1% • 3P 11.5% • FT 76.5%0.2BPG
Injury Report
Check player availability and injury-related production impact before evaluating the final matchup edge.

Purdue
No injuries listed for this team.
Queens
No injuries listed for this team.