PythiaBasketballBETA
NCAA
Wisconsin faces Seton Hall on 19 November 2026 in the NCAA, with the Pythia model clearly favouring the Badgers at 88% versus 12% for the Dukes, a reflection of Wisconsin's flawless 3-0 record, 79.0 points per game and 58.0 allowed, placing them 53rd in the league, while Seton Hall sits 125th with a 3-1 record, 69.2 points per game and 61.5 allowed. Wisconsin's home form is perfect, 3-0 at home with the same averages, and their last five games include victories over Fairfield 89-42, Delaware 73-64 and Denver 75-68, all at home, while Seton Hall's road record is 1-1 with 72.0 points scored and 72.0 allowed, and their recent road outings include a loss to Alabama 76-82 and a win over Charlotte 68-62. The teams have met once before, with Wisconsin winning that encounter. Pythia projects a 79-65 score for Wisconsin, a total of 143.5 points, and a 2% chance of overtime; the home team is expected to cover the spread with an 88% probability. Wisconsin's dominant offensive and defensive numbers suggest they will control the game from the start.
| Split | Scored | Allowed | Total | Margin | Win % |
|---|---|---|---|---|---|
| Season (3) | 79.0 | 58.0 | 137.0 | +21.0 | 100% |
| Season at home (3) | 79.0 | 58.0 | 137.0 | +21.0 | 100% |
| Season away | no games | ||||
| Last 10 (10) | 82.5 | 70.6 | 153.1 | +11.9 | 80% |
| Last 5 (5) | 76.8 | 65.0 | 141.8 | +11.8 | 60% |
| Last 30 games by opponent strength | |||||
| vs Stronger (7) | 84.4 | 85.6 | 170.0 | -1.1 | 57% |
| vs Similar (10) | 79.5 | 78.1 | 157.6 | +1.4 | 60% |
| vs Weaker ◀ (13) | 81.5 | 66.9 | 148.5 | +14.6 | 85% |
| Split | Scored | Allowed | Total | Margin | Win % |
|---|---|---|---|---|---|
| Season (4) | 69.2 | 61.5 | 130.8 | +7.8 | 75% |
| Season at home (2) | 66.5 | 51.0 | 117.5 | +15.5 | 100% |
| Season away (2) | 72.0 | 72.0 | 144.0 | +0.0 | 50% |
| Last 10 (10) | 67.7 | 64.3 | 132.0 | +3.4 | 60% |
| Last 5 (5) | 69.0 | 64.8 | 133.8 | +4.2 | 60% |
| Last 30 games by opponent strength | |||||
| vs Stronger ◀ (3) | 69.0 | 74.0 | 143.0 | -5.0 | 0% |
| vs Similar (10) | 67.4 | 69.2 | 136.6 | -1.8 | 40% |
| vs Weaker (17) | 69.8 | 62.2 | 132.0 | +7.5 | 82% |
| 1st half | Scored | Allowed | Total | Margin | Won the half | Over main line |
|---|---|---|---|---|---|---|
| Last 30 (30) | 38.1 | 33.5 | 71.6 | +4.6 | 60% | - |
| Last 30 at home (17) | 41.2 | 32.2 | 73.5 | +9.0 | 82% | - |
| Last 30 away (13) | 33.9 | 35.2 | 69.1 | -1.2 | 31% | - |
| Last 10 (10) | 39.5 | 30.3 | 69.8 | +9.2 | 80% | - |
| Last 5 (5) | 40.0 | 29.0 | 69.0 | +11.0 | 80% | - |
| Last 30 games by opponent strength | ||||||
| vs Stronger (7) | 37.7 | 39.6 | 77.3 | -1.9 | 29% | - |
| vs Similar (10) | 37.3 | 35.9 | 73.2 | +1.4 | 50% | - |
| vs Weaker ◀ (13) | 38.8 | 28.4 | 67.2 | +10.5 | 85% | - |
| 1st half | Scored | Allowed | Total | Margin | Won the half | Over main line |
|---|---|---|---|---|---|---|
| Last 30 (30) | 30.7 | 31.4 | 62.1 | -0.7 | 50% | - |
| Last 30 at home (15) | 29.7 | 30.7 | 60.4 | -0.9 | 40% | - |
| Last 30 away (15) | 31.7 | 32.2 | 63.9 | -0.5 | 60% | - |
| Last 10 (10) | 30.6 | 30.1 | 60.7 | +0.5 | 60% | - |
| Last 5 (5) | 32.0 | 30.8 | 62.8 | +1.2 | 60% | - |
| Last 30 games by opponent strength | ||||||
| vs Stronger ◀ (3) | 27.7 | 35.0 | 62.7 | -7.3 | 33% | - |
| vs Similar (10) | 30.5 | 32.7 | 63.2 | -2.2 | 30% | - |
| vs Weaker (17) | 31.4 | 30.1 | 61.4 | +1.3 | 65% | - |
Yesterday's results in full, today's games and market moves worth watching. One post a day, no signup.
| Date | H/A | Opponent | Score |
|---|---|---|---|
| 11/11/26 | H | Fairfield | 89-42 |
| 07/11/26 | H | Delaware | 73-64 |
| 03/11/26 | H | Denver | 75-68 |
| 19/03/26 | H | High Point | 82-83 |
| 14/03/26 | A | Michigan | 65-68 |
| 13/03/26 | A | Illinois | 91-88 OT |
| 12/03/26 | H | Washington | 85-82 |
| 07/03/26 | A | Purdue | 97-93 |
| 05/03/26 | H | Maryland | 78-45 |
| 28/02/26 | A | Washington | 90-73 |
| Date | H/A | Opponent | Score |
|---|---|---|---|
| 14/11/26 | A | Alabama | 76-82 |
| 10/11/26 | A | Charlotte | 68-62 |
| 05/11/26 | H | LIU Sharks | 67-60 |
| 03/11/26 | H | St. Peters | 66-42 |
| 13/03/26 | A | St. John's (N.Y.) | 68-78 |
| 12/03/26 | H | Creighton | 72-61 |
| 07/03/26 | H | St. John's (N.Y.) | 65-72 |
| 04/03/26 | A | Xavier | 77-68 |
| 28/02/26 | A | Uconn | 67-71 |
| 21/02/26 | H | Georgetown | 51-47 |
| Form | Last 5 | Win % |
|---|---|---|
| Overall | WWW | 100% |
| Home | WWW | 100% |
| Away | - | - |
| Stats | Overall | Home | Away |
|---|---|---|---|
| Games | 3 | 3 | - |
| Win % | 100% | 100% | - |
| Points / game | 79.0 | 79.0 | - |
| Allowed / game | 58.0 | 58.0 | - |
| Point differential | +21.0 | +21.0 | - |
| Avg total | 137.0 | 137.0 | - |
| Over main line | - | - | - |
| Win by 10+ | 33% | 33% | - |
| Close games (≤5 pts) won | - | - | - |
| Overtime % | 0% | 0% | - |
| Form | Last 5 | Win % |
|---|---|---|
| Overall | WWWL | 75% |
| Home | WW | 100% |
| Away | WL | 50% |
| Stats | Overall | Home | Away |
|---|---|---|---|
| Games | 4 | 2 | 2 |
| Win % | 75% | 100% | 50% |
| Points / game | 69.2 | 66.5 | 72.0 |
| Allowed / game | 61.5 | 51.0 | 72.0 |
| Point differential | +7.8 | +15.5 | +0.0 |
| Avg total | 130.8 | 117.5 | 144.0 |
| Over main line | - | - | - |
| Win by 10+ | 25% | 50% | 0% |
| Close games (≤5 pts) won | - | - | - |
| Overtime % | 0% | 0% | 0% |
| # | Team | GP | W | L | Win % | PF/g | PA/g | Diff |
|---|---|---|---|---|---|---|---|---|
| 1 |  UCLA | 3 | 3 | 0 | 100% | 101.3 | 58.3 | +43.0 |
| 2 |  Nebraska | 3 | 3 | 0 | 100% | 89.0 | 60.7 | +28.3 |
| 3 |  Rutgers | 3 | 3 | 0 | 100% | 84.7 | 56.3 | +28.3 |
| 4 |  Michigan State | 4 | 4 | 0 | 100% | 93.0 | 66.2 | +26.8 |
| 5 |  Oregon | 3 | 3 | 0 | 100% | 95.0 | 68.7 | +26.3 |
| 6 |  Indiana | 4 | 4 | 0 | 100% | 89.0 | 68.0 | +21.0 |
| 7 | Wisconsin | 3 | 3 | 0 | 100% | 79.0 | 58.0 | +21.0 |
| 8 |  Minnesota | 4 | 4 | 0 | 100% | 78.8 | 58.5 | +20.2 |
| 9 |  USC | 3 | 3 | 0 | 100% | 88.3 | 71.3 | +17.0 |
| 10 |  Washington | 2 | 2 | 0 | 100% | 83.5 | 70.0 | +13.5 |
| 11 |  Illinois | 4 | 3 | 1 | 75% | 104.5 | 71.2 | +33.2 |
| 12 |  Purdue | 4 | 3 | 1 | 75% | 78.5 | 69.0 | +9.5 |
| 13 |  Northwestern | 4 | 3 | 1 | 75% | 70.8 | 61.8 | +9.0 |
| 14 |  Iowa | 3 | 2 | 1 | 67% | 85.0 | 64.7 | +20.3 |
| 15 |  Michigan | 3 | 2 | 1 | 67% | 81.7 | 74.3 | +7.3 |
| 16 |  Penn State | 5 | 3 | 2 | 60% | 77.6 | 75.6 | +2.0 |
| 17 |  Ohio State | 4 | 2 | 2 | 50% | 81.0 | 79.2 | +1.8 |
| 18 |  Maryland | 3 | 1 | 2 | 33% | 84.3 | 80.0 | +4.3 |
| # | Team | GP | W | L | Win % | PF/g | PA/g | Diff |
|---|---|---|---|---|---|---|---|---|
| 1 |  Xavier | 4 | 4 | 0 | 100% | 88.5 | 55.8 | +32.8 |
| 2 |  St. John's (N.Y.) | 3 | 3 | 0 | 100% | 90.7 | 62.3 | +28.3 |
| 3 |  Uconn | 4 | 4 | 0 | 100% | 84.5 | 58.0 | +26.5 |
| 4 |  DePaul | 4 | 4 | 0 | 100% | 77.0 | 58.0 | +19.0 |
| 5 |  Georgetown | 4 | 4 | 0 | 100% | 83.5 | 72.0 | +11.5 |
| 6 | Seton Hall | 4 | 3 | 1 | 75% | 69.2 | 61.5 | +7.8 |
| 7 |  Marquette | 3 | 2 | 1 | 67% | 80.3 | 53.0 | +27.3 |
| 8 |  Villanova | 3 | 2 | 1 | 67% | 82.3 | 66.3 | +16.0 |
| 9 |  Providence | 3 | 2 | 1 | 67% | 73.0 | 59.3 | +13.7 |
| 10 |  Creighton | 3 | 2 | 1 | 67% | 80.3 | 68.3 | +12.0 |
| 11 |  Butler | 4 | 2 | 2 | 50% | 85.0 | 75.2 | +9.8 |
We use cookies to keep the site working, to remember your settings, to understand which predictions people read, and to improve what we show you. For more information, see our Cookie Policy.
Cookies required to use the site and the features you have asked for. They provide the pages, predictions and account functions you requested. These are essential for the operation of our website.
Cookies that remember the preferences and settings from your last visit, so the site behaves the way you left it. They do not tell us who you are and they are not used to build a profile of you.
Cookies used to collect information about your usage of the site. These are used to produce aggregated statistics about visits to our pages. We use these statistics internally to test and improve the site and to give you a better experience. Without them our ability to provide a smoother experience may be degraded.
Cookies used to deliver adverts relevant to you based on your interests. This can include limiting the number of times you see an advert as well as helping us measure the effectiveness of an advert. Without these cookies you will still see adverts, but they will not be adjusted to your interests.
