Sunday Jan 26 Model Aggregator Betting Picks

Today’s Model Aggregator Pick of the Day is…

Oregon -11 points

Full pick set for NBA:

1. Indiana +2 (vs: Portland, confidence score: 88.08)
2. Boston -1 (vs: New Orleans, confidence score: 81.52)
3. Orlando +3.5 (vs: LA Clippers, confidence score: 79.35)
4. Memphis -2 (vs: Phoenix, confidence score: 77.73)
5. Brooklyn +1 (vs: New York, confidence score: 74.53)
6. Denver -1 (vs: Houston, confidence score: 71.98)
7. San Antonio +2.5 (vs: Toronto, confidence score: 67.99)
8. Atlanta -1 (vs: Washington, confidence score: 54.17)

Full pick set for NCAA Basketball:

1. Oregon -11 (vs: UCLA, confidence score: 91.75)
2. Evansville +12.5 (vs: Valparaiso, confidence score: 87.75)
3. Maryland +2.5 (vs: Indiana, confidence score: 79.11)
4. Northern Iowa -4.5 (vs: Loyola-Chicago, confidence score: 76.12)
5. San Diego St. -6.5 (vs: UNLV, confidence score: 75.79)
6. Manhattan +1.5 (vs: Rider, confidence score: 75.12)
7. Wake Forest +4.5 (vs: Virginia, confidence score: 74.39)
8. Ohio St. -6.5 (vs: Northwestern, confidence score: 73.90)
9. Monmouth +2 (vs: Iona, confidence score: 68.11)
10. St. Peter’s -6 (vs: Niagara, confidence score: 67.08)
11. Minnesota +3 (vs: Michigan St., confidence score: 67.05)
12. SW Missouri St. +5 (vs: Drake, confidence score: 64.92)
13. Houston -12.5 (vs: South Florida, confidence score: 61.38)
14. Stanford -8 (vs: California, confidence score: 59.26)
15. Quinnipiac +4.5 (vs: Siena, confidence score: 57.59)
16. Canisius +2 (vs: Fairfield, confidence score: 54.42)
17. Saint Louis -14.5 (vs: Fordham, confidence score: 54.37)
18. Tulsa +5.5 (vs: Connecticut, confidence score: 53.15)
19. Creighton -5.5 (vs: Xavier, confidence score: 52.72)

These picks are made by a model we built which standardizes data across several dozen other models to predict game outcomes. For more information or to view, run, and modify the code yourself, check out the open source repo here: wagerlab/model-aggregator

Please be sure to download the WagerLab app for iOS or Android to bet on basketball games like these with your friends. Best of luck!