Notre Dame Fighting Irish vs Villanova Wildcats basketball final score
Sun, Nov 1 · 9:30 AM ET · Palazzo dello Sport, Rome, Italy (neutral site)
Our play
How our line is built
each step, from an even game to our lineThe spread is seen from the home side: a plus moves it toward Villanova. Our total joins once both teams have played 3 games.
Pace & total
possessions per 40 minutesProjected possessions: 66.0, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Notre Dame is the faster team (66.7, #259 of 365) and Villanova the slower (66.5, #269). 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 · 2025-26 numbers| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 62.0%#72 | 60.9%#267 | 58.6% |
| Short 2 (≤9 ft) | 28.2%#356 | 38.8%#155 | 39.5% |
| Mid 2 (10 ft+) | 37.3%#211 | 40.0%#243 | 38.0% |
| Three | 35.6%#82 | 33.4%#148 | 33.7% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 61.6%#81 | 62.8%#320 | 58.6% |
| Short 2 (≤9 ft) | 43.5%#91 | 45.0%#296 | 39.5% |
| Mid 2 (10 ft+) | 35.4%#280 | 39.9%#237 | 38.0% |
| Three | 35.7%#77 | 33.2%#138 | 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 numbersVillanova has more extra scoring chances per game: +3.0 (#53 of 365) to Notre Dame’s −0.9 (#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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 11 | G | Sr | 6'4" | 3-3 | 30.3 | 14.7 | 4.7 | 3.3 | 0.7 | 61.1% | 42.9% | 9.3 | 0.0% | 24.7% | |
| 3 | G | Sr | 6'0" | 3-3 | 28.7 | 12.7 | 3.7 | 7.0 | 1.3 | 55.3% | 60.0% | 1.7 | 89.5% | 21.6% | |
| 23 | G | Sr | 6'5" | 3-3 | 27.0 | 14.3 | 2.0 | 0.7 | 1.3 | 72.9% | 58.3% | 4.0 | 100.0% | 22.7% | |
| 6 | F | So | 6'10" | 3-3 | 24.3 | 15.7 | 6.7 | 1.0 | 0.7 | 74.0% | 70.0% | 3.3 | 71.4% | 26.6% | |
| 51 | C | Sr | 6'10" | 3-3 | 20.3 | 10.3 | 4.3 | 2.0 | 2.7 | 76.3% | 50.0% | 0.7 | 28.6% | 28.7% | |
| 2 | G | Sr | 6'4" | 3-0 | 15.7 | 5.3 | 1.3 | 0.3 | 1.3 | 53.8% | 25.0% | 2.7 | 100.0% | 22.0% | |
| 10 | G | Fr | 6'3" | 3-0 | 12.7 | 3.3 | 0.7 | 0.7 | 1.3 | 28.6% | 22.2% | 3.0 | 100.0% | 28.9% | |
| 15 | C | So | 6'10" | 3-0 | 11.3 | 4.3 | 3.3 | 1.0 | 0.7 | 36.4% | — | 0.0 | 100.0% | 26.5% | |
| 4 | F | Jr | 6'9" | 3-0 | 10.3 | 0.7 | 1.7 | 0.0 | 0.0 | 33.3% | — | 0.0 | 0.0% | 7.3% | |
| 7 | F | Sr | 6'9" | 3-0 | 7.3 | 0.7 | 1.7 | 0.0 | 1.0 | 50.0% | — | 0.0 | — | 13.2% | |
| 5 | G | So | 6'6" | 3-0 | 6.7 | 1.7 | 0.0 | 0.0 | 0.3 | 75.0% | 50.0% | 0.7 | 100.0% | 11.6% | |
| 12 | G | Fr | 6'5" | 2-0 | 3.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0% | 0.0% | 1.0 | — | 28.7% | |
| 44 | C | Fr | 7'0" | 1-0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% | |
| 0 | G | Jr | 6'4" | 1-0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0% | 0.0% | 1.0 | — | 62.6% | |
| 8 | G | Fr | 6'3" | 1-0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% | |
| 22 | F | So | 6'7" | 1-0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0% | 0.0% | 1.0 | — | 62.6% |
Trends
Last 10 games of 2025-26| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 7 | Boston College | A | L 69–77 | −2.5 | L−10.5 | 142.0 | O146 | 91.7 | 102.4 | 75.2 |
| Mar 4 | Stanford | H | L 78–86 | +1.0 | L−7.0 | 147.0 | O164 | 122.9 | 135.5 | 63.5 |
| Feb 28 | NC State | H | W 96–90 OT | +6.5 | W+12.5 | 155.0 | O186 | 134.5 | 126.1 | 71.4 |
| Feb 24 | #1Duke | H | L 56–100 | +17.0 | L−27.0 | 142.0 | O156 | 78.3 | 139.8 | 71.5 |
| Feb 21 | Pitt | A | L 68–73 | +2.5 | L−2.5 | 139.0 | O141 | 108.4 | 116.4 | 62.7 |
| Feb 14 | Georgia Tech | H | W 89–74 | −6.0 | W+9.0 | 150.0 | O163 | 129.3 | 107.5 | 68.8 |
| Feb 10 | SMU | A | L 81–89 | +10.5 | W+2.5 | 154.0 | O170 | 117.2 | 128.8 | 69.1 |
| Feb 7 | Florida St | H | L 79–82 | −1.0 | L−4.0 | 153.0 | O161 | 109.1 | 113.2 | 72.4 |
| Feb 4 | #24Louisville | A | L 65–76 | +18.0 | W+7.0 | 155.5 | U141 | 94.1 | 110.0 | 69.1 |
| Jan 31 | Syracuse | A | L 72–86 | +5.0 | L−9.0 | 147.5 | O158 | 107.1 | 127.9 | 67.2 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 20 | #9Utah State | N | L 76–86 | +2.0 | L−8.0 | 147.5 | O162 | 111.5 | 126.2 | 68.1 |
| Mar 12 | Georgetown | N | L 64–78 | −6.5 | L−20.5 | 141.0 | O142 | 99.4 | 121.1 | 64.4 |
| Mar 7 | Xavier | H | W 91–78 | −13.5 | L−0.5 | 154.0 | O169 | 128.2 | 109.9 | 71.0 |
| Mar 4 | DePaul | A | W 76–57 | −2.0 | W+17.0 | 136.5 | U133 | 108.2 | 81.1 | 70.3 |
| Feb 28 | #15St John's | A | L 57–89 | +7.5 | L−24.5 | 148.0 | U146 | 78.6 | 122.8 | 72.5 |
| Feb 25 | Butler | H | W 82–73 | −10.5 | L−1.5 | 147.0 | O155 | 116.7 | 103.9 | 70.2 |
| Feb 21 | #5UConn | H | L 63–73 | +3.0 | L−7.0 | 141.0 | U136 | 100.1 | 116.0 | 62.9 |
| Feb 17 | Xavier | A | W 92–89 OT | −4.0 | L−1.0 | 153.5 | O181 | 116.7 | 112.9 | 78.8 |
| Feb 14 | Creighton | A | W 80–69 | −2.5 | W+8.5 | 146.0 | O149 | 115.3 | 99.5 | 69.4 |
| Feb 10 | Marquette | H | W 77–74 | −9.5 | L−6.5 | 145.0 | O151 | 109.8 | 105.5 | 70.1 |
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- Cole Certa 26.9 mpg, 12.8 ppg · transferred to Clemson
- Carson Towt 26.0 mpg, 5.9 ppg · not on a D1 roster yet
- Jalen Haralson 23.2 mpg, 14.1 ppg · transferred to Tennessee
- Garrett Sundra 17.9 mpg, 3.5 ppg · transferred to James Madison
- Sir Mohammed 16.4 mpg, 5.7 ppg · transferred to Penn
- Markus Burton 9.7 mpg, 6.0 ppg · transferred to Indiana
- Ethan Roberts from Penn · 23.4 mpg, 13.0 ppg last season
- Devin Brown from Davidson · 23.4 mpg, 6.4 ppg last season
- Logan Duncomb from Winthrop · 22.9 mpg, 17.2 ppg last season
- Braeden Smith from Gonzaga · 17.1 mpg, 5.1 ppg last season
- Bryce Ruglass Dortch from Rutgers · 13.2 mpg, 1.9 ppg last season
- Luke Devine no D1 minutes last season
Returns 34% of last season's minutes; lost 3 of its top 5 (2 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).
- Acaden Lewis 30.5 mpg, 12.2 ppg · transferred to Miami
- Duke Brennan 30.1 mpg, 12.1 ppg · transferred to Oklahoma
- Bryce Lindsay 28.5 mpg, 12.3 ppg · transferred to Indiana
- Devin Askew 23.1 mpg, 9.8 ppg · not on a D1 roster yet
- Malachi Palmer 18.3 mpg, 4.6 ppg · transferred to Minnesota
- Braden Pierce 5.9 mpg, 1.1 ppg · transferred to Charleston
- Darryl Simmons II from St Bonaventure · 35.5 mpg, 16.4 ppg last season
- Devin Royal from Ohio State · 30.6 mpg, 12.9 ppg last season
- Kwame Evans Jr. from Oregon · 29.0 mpg, 12.5 ppg last season
- Jake Fiegen from Cornell · 22.4 mpg, 14.6 ppg last season
- Elijah Crawford from UIC · 17.0 mpg, 9.3 ppg last season
- Abdou Samb from Towson · 1.6 mpg, 0.2 ppg last season
Returns 27% of last season's minutes; lost 3 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).
Line history
Market line, home spread or game totalLines by book
| Book | Spread (home) open → now | Total open → now | ML home | ML away |
|---|---|---|---|---|
| DraftKings | -7.5-115 | 149.5→145.5o-105 u-115 | -298 | +240 |
| FanDuel | -7.5-120 | 148.5→145.5o-110 u-110 | -310 | +245 |
| BetMGM | -7.5→-6.5-105 | 147.5→145.5o-110 u-110 | -300 | +240 |
| BetRivers | -7.5-120 | 148.5→146.5o-107 u-117 | -335 | +255 |
| Caesars | -7.5→-7-110 | 147.5→145.5o-110 u-110 | -305 | +240 |
| Fanatics | -7.5→-7-110 | 148.5→145.5o-110 u-110 | -320 | +250 |
| BetOnline | -8→-7-110 | 148.5→145.5o-107 u-113 | -300 | +245 |
| Bovada | -7-115 | 147.5→145.5o-110 u-110 | -300 | +250 |
| theScore Bet | -7.5-110 | 148.5→145.5o-105 u-115 | -300 | +250 |
| Hard Rock | -7.5-115 | 148.5→145.5o-115 u-105 | -325 | +260 |
| Kalshi | -6.5+108 | — | -300 | +285 |
| Polymarket | — | — | -300 | +285 |
| Novig | -7.5→— | 148.5→145.5o+100 u-104 | -300 | +292 |
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 — 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.