PythiaBasketballBETA
NCAA
Butler hosts Northeastern on 19 November 2026 in the NCAA, with the Pythia model designating Butler as the clear favourite, assigning a 94% chance of victory and projecting a 92-73 win; the model's confidence stems from Butler's 2-2 record and an average of 85.0 points scored against 75.2 allowed, placing them 199th, while Northeastern also sits 2-2 but averages 78.8 points scored and 83.2 allowed, 231st. Butler's home performance is stronger, 2-1 with 86.3 points per game and 67.0 allowed, and their last five games include a 99-65 win over Fairleigh Dickinson, a 64-76 loss to Pittsburgh, and an 81-100 loss to Boise State; Northeastern's road record is 0-2, 78.5 points scored and 95.0 allowed, with recent results of a 84-73 win over Yale, a 74-70 win over Harvard, and a 72-97 loss to Virginia. The teams have met twice this season, most recently on 13 November 2026 when Northeastern won 84-73 at home. Pythia gives Butler a 94% win probability, Northeastern 6%, and projects a total of 164.9 points with Butler covering the spread; the game is expected to stay within regulation with a 1% chance of overtime. The projected score of 92-73 reflects Butler's defensive edge and Northeastern's recent struggles on the road.
| Split | Scored | Allowed | Total | Margin | Win % |
|---|---|---|---|---|---|
| Season (4) | 85.0 | 75.2 | 160.2 | +9.8 | 50% |
| Season at home (3) | 86.3 | 67.0 | 153.3 | +19.3 | 67% |
| Season away (1) | 81.0 | 100.0 | 181.0 | -19.0 | 0% |
| Last 10 (10) | 80.7 | 78.5 | 159.2 | +2.2 | 50% |
| Last 5 (5) | 84.2 | 78.4 | 162.6 | +5.8 | 40% |
| Last 30 games by opponent strength | |||||
| vs Stronger (8) | 69.4 | 84.8 | 154.1 | -15.4 | 0% |
| vs Similar (17) | 79.1 | 77.6 | 156.6 | +1.5 | 53% |
| vs Weaker ◀ (5) | 87.8 | 69.8 | 157.6 | +18.0 | 80% |
| Split | Scored | Allowed | Total | Margin | Win % |
|---|---|---|---|---|---|
| Season (4) | 78.8 | 83.2 | 162.0 | -4.5 | 50% |
| Season at home (2) | 79.0 | 71.5 | 150.5 | +7.5 | 100% |
| Season away (2) | 78.5 | 95.0 | 173.5 | -16.5 | 0% |
| Last 10 (10) | 77.3 | 82.0 | 159.3 | -4.7 | 30% |
| Last 5 (5) | 78.4 | 83.4 | 161.8 | -5.0 | 40% |
| Last 30 games by opponent strength | |||||
| vs Stronger ◀ (26) | 75.8 | 84.3 | 160.1 | -8.5 | 15% |
| vs Similar (3) | 77.3 | 74.0 | 151.3 | +3.3 | 67% |
| vs Weaker (1) | 84.0 | 73.0 | 157.0 | +11.0 | 100% |
| 1st half | Scored | Allowed | Total | Margin | Won the half | Over main line |
|---|---|---|---|---|---|---|
| Last 30 (30) | 37.1 | 35.5 | 72.6 | +1.6 | 53% | - |
| Last 30 at home (19) | 38.9 | 33.5 | 72.5 | +5.4 | 63% | - |
| Last 30 away (11) | 33.9 | 38.9 | 72.8 | -5.0 | 36% | - |
| Last 10 (10) | 42.5 | 36.7 | 79.2 | +5.8 | 80% | - |
| Last 5 (5) | 44.2 | 37.6 | 81.8 | +6.6 | 80% | - |
| Last 30 games by opponent strength | ||||||
| vs Stronger (8) | 33.5 | 40.2 | 73.8 | -6.8 | 25% | - |
| vs Similar (17) | 36.6 | 34.5 | 71.2 | +2.1 | 59% | - |
| vs Weaker ◀ (5) | 44.4 | 31.2 | 75.6 | +13.2 | 80% | - |
| 1st half | Scored | Allowed | Total | Margin | Won the half | Over main line |
|---|---|---|---|---|---|---|
| Last 30 (30) | 34.8 | 38.1 | 72.9 | -3.2 | 33% | - |
| Last 30 at home (12) | 35.8 | 37.4 | 73.2 | -1.6 | 42% | - |
| Last 30 away (18) | 34.2 | 38.5 | 72.7 | -4.3 | 28% | - |
| Last 10 (10) | 34.3 | 35.9 | 70.2 | -1.6 | 40% | - |
| Last 5 (5) | 32.2 | 35.2 | 67.4 | -3.0 | 40% | - |
| Last 30 games by opponent strength | ||||||
| vs Stronger ◀ (26) | 34.3 | 38.7 | 73.0 | -4.3 | 27% | - |
| vs Similar (3) | 36.3 | 34.0 | 70.3 | +2.3 | 67% | - |
| vs Weaker (1) | 43.0 | 34.0 | 77.0 | +9.0 | 100% | - |
Yesterday's results in full, today's games and market moves worth watching. One post a day, no signup.
| Date | H/A | Opponent | Score |
|---|---|---|---|
| 13/11/26 | H | Pittsburgh | 64-76 |
| 08/11/26 | A | Boise State | 81-100 |
| 05/11/26 | H | Fairleigh Dickinson | 99-65 |
| 03/11/26 | H | Lafayette | 96-60 |
| 11/03/26 | H | Providence | 81-91 |
| 07/03/26 | A | DePaul | 81-71 |
| 04/03/26 | H | Creighton | 59-76 |
| 26/02/26 | A | Villanova | 73-82 |
| 21/02/26 | H | Xavier | 80-75 |
| 18/02/26 | A | Georgetown | 93-89 |
| Date | H/A | Opponent | Score |
|---|---|---|---|
| 14/11/26 | H | Yale | 84-73 |
| 11/11/26 | H | Harvard | 74-70 OT |
| 06/11/26 | A | Virginia | 72-97 |
| 03/11/26 | A | Boston University | 85-93 |
| 07/03/26 | A | Drexel | 77-84 |
| 06/03/26 | A | N. Carolina A&T | 88-72 |
| 04/03/26 | H | Monmouth | 83-89 |
| 28/02/26 | A | Hampton | 65-76 |
| 27/02/26 | A | William & Mary | 77-84 |
| 21/02/26 | H | Hofstra | 68-82 |
| Form | Last 5 | Win % |
|---|---|---|
| Overall | WWLL | 50% |
| Home | WWL | 67% |
| Away | L | 0% |
| Stats | Overall | Home | Away |
|---|---|---|---|
| Games | 4 | 3 | 1 |
| Win % | 50% | 67% | 0% |
| Points / game | 85.0 | 86.3 | 81.0 |
| Allowed / game | 75.2 | 67.0 | 100.0 |
| Point differential | +9.8 | +19.3 | -19.0 |
| Avg total | 160.2 | 153.3 | 181.0 |
| Over main line | - | - | - |
| Win by 10+ | 50% | 67% | 0% |
| Close games (≤5 pts) won | - | - | - |
| Overtime % | 0% | 0% | 0% |
| Form | Last 5 | Win % |
|---|---|---|
| Overall | LLWW | 50% |
| Home | WW | 100% |
| Away | LL | 0% |
| Stats | Overall | Home | Away |
|---|---|---|---|
| Games | 4 | 2 | 2 |
| Win % | 50% | 100% | 0% |
| Points / game | 78.8 | 79.0 | 78.5 |
| Allowed / game | 83.2 | 71.5 | 95.0 |
| Point differential | -4.5 | +7.5 | -16.5 |
| Avg total | 162.0 | 150.5 | 173.5 |
| Over main line | - | - | - |
| Win by 10+ | 25% | 50% | 0% |
| Close games (≤5 pts) won | 100% (1) | 100% (1) | - |
| Overtime % | 25% | 50% | 0% |
| # | 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 |
| # | Team | GP | W | L | Win % | PF/g | PA/g | Diff |
|---|---|---|---|---|---|---|---|---|
| 1 |  Charleston | 3 | 3 | 0 | 100% | 104.7 | 67.3 | +37.3 |
| 2 |  NC Wilmington | 4 | 4 | 0 | 100% | 92.5 | 63.5 | +29.0 |
| 3 |  William & Mary | 3 | 2 | 1 | 67% | 91.3 | 78.0 | +13.3 |
| 4 |  N. Carolina A&T | 4 | 2 | 2 | 50% | 83.2 | 70.2 | +13.0 |
| 5 |  Hofstra | 4 | 2 | 2 | 50% | 70.0 | 63.8 | +6.2 |
| 6 |  Towson | 4 | 2 | 2 | 50% | 70.8 | 65.5 | +5.2 |
| 7 |  Elon | 4 | 2 | 2 | 50% | 69.5 | 70.5 | -1.0 |
| 8 | Northeastern | 4 | 2 | 2 | 50% | 78.8 | 83.2 | -4.5 |
| 9 |  Drexel | 4 | 2 | 2 | 50% | 66.8 | 73.2 | -6.5 |
| 10 |  Stony Brook | 3 | 1 | 2 | 33% | 73.7 | 64.7 | +9.0 |
| 11 |  Hampton | 4 | 1 | 3 | 25% | 59.8 | 66.0 | -6.2 |
| 12 |  Campbell | 4 | 1 | 3 | 25% | 70.2 | 78.8 | -8.5 |
| 13 |  Monmouth | 4 | 1 | 3 | 25% | 61.0 | 79.2 | -18.2 |
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.
