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Final Four Computer Picks & A.I. Predictions for Arizona/Michigan, UConn/Illinois
By Sascha Paruk in College Basketball
Published:
- Sportradar’s A.I. prediction model has made its Final Four picks
- How is the model betting Arizona/Michigan and UConn/Illinois?
- Below, see computer picks for the 2026 Final Four
The 2026 Final Four is set for next Saturday in Indianapolis. In the early tip, the South Region #3 Illinois Fighting Illini (28-8 SU, 22-14 ATS) face the East #2 UConn Huskies (33-5 SU, 16-22 ATS). The late tip is worthy of the national championship game, with the Midwest #1 Michigan Wolverines (35-3 SU, 18-20 ATS) battling the West #1 Arizona Wildcats (36-2 SU, 23-14-1 ATS).
I ran both games through Sportradar’s A.I. prediction model to see how the computer would bet these two semifinals. The table below summarizes its ATS and O/U picks for both Final Four matchups. Underneath the table, I have provided the A.I.’s rationale for all four picks.
Final Four Computer Picks
The A.I. model is taking one slim favorite (Michigan) and one slim underdog (UConn) along with both overs.
The Wolverines have quietly gone from consensus underdog in the opening Michigan/Arizona odds to modest favorite. The opening Illinois/UConn odds are basically unchanged as of mid-day Monday.
The computer only batted .500 on its Sweet 16 picks, going 3-5 ATS and 5-3 O/U. It was 5-3 on its Elite Eight picks (3-1 ATS and 2-2 O/U) going a perfect 4-0 on its Sunday picks.
The odds in the table represent the best-available price for each market as of 11:32 am ET, March 30th. Claim SBD’s exclusive Kalshi referral code to get a bonus for the Final Four.
Illinois vs UConn A.I. Predictions
The Picks: UConn +2.5 | Over 139.5
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A.I. explanation: “In a matchup featuring two high-caliber programs, grabbing the No. 7 AP-ranked UConn with the points is the most appealing angle. Head coach Dan Hurley has guided UConn to an incredibly impressive 29-5 regular-season record, outperforming the No. 13-ranked Illinois (24-8) in the win column.
While Brad Underwood’s Illinois squad has pieced together a strong resume, Sportradar’s A.I. model indicates UConn can match elite competition blow-for-blow. Backing a top-10 team getting points (+2.5) on a neutral floor offers excellent mathematical value.
On the total, the Over 139.5 is the clear play. Lucas Oil Stadium can occasionally create early perimeter shooting woes, but these are deeply experienced, tournament-tested rosters. Both programs boast top-15 AP pedigrees and a proven ability to generate high-percentage points in the paint.
While the betting public leans toward the Under in cavernous arenas, the pace and offensive execution from both sides should push the combined score past 139.5. This projection strongly aligns with the sharp market handle backing high-scoring efficiency.”
Michigan vs Arizona A.I. Predictions
The Picks: Michigan -1.5 | Over 157.5
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A.I. explanation: “While Arizona boasts a spectacular 32-2 record under head coach Tommy Lloyd, the algorithm backs Dusty May’s squad to cover the narrow -1 spread.
Michigan is practically mirroring Arizona’s dominance with a 31-3 record. Sharp handle has settled on Michigan, taking 52.15% of the total spread money on only 42.25% of the total tickets. Michigan has the top-tier talent required to dictate the tempo.
Oddsmakers have set a lofty total at 157.5. Neither program has shied away from high-scoring affairs this season. The heavy financial stake backing the Over confirms that a shootout is the expected script, and the A.I. model projects a final combined score well above the 157.5 threshold.”
The handle and ticket data mentioned by the A.I. can be found on SBD’s college basketball public betting splits page. The public is 34-29-1 ATS through the first four rounds of the 2026 NCAA Tournament (meaning the team that was getting the majority of ATS handle has won 34 games and lost 29 with one game seeing exactly 50% of ATS handle on either side).
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Sascha Paruk
Managing Editor
Sascha has been working in the sports-betting industry since 2014, and quickly paired his strong writing skills with a burgeoning knowledge of probability and statistics. He holds an undergraduate degree in linguistics and a Juris Doctor from the University of British Columbia.
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