2026 NCAA Final Four Predictions: Michigan Leads the Men's Field, Women's Side is a Dead Heat
Men's & Women's Championship Probabilities via 10,000 Monte Carlo Simulations — One Clear Favorite, One Wide-Open Race
Published March 31, 2026 | Updated ahead of Final Four weekend
Men's Final Four
Lucas Oil Stadium — Indianapolis, IN | TBS
(2) UConn vs (3) Illinois
Sat, April 4 • 6:09 PM ET
(1) Arizona vs (1) Michigan
Sat, April 4 • 8:49 PM ET
TBD vs TBD
Mon, April 6 • 8:50 PM ET
Versus Simulator Semifinal Predictions
#4 Connecticut
Big East (33-5)#8 Illinois
Big Ten (28-8)#1 Arizona
Big 12 (36-2)#2 Michigan
Big Ten (35-3)Championship Probabilities — 10,000 Simulations
We simulated the remaining three games of the 2026 NCAA Men's Basketball Tournament 10,000 times using Versus Sports Simulator's Monte Carlo engine. Each simulation uses our proprietary offensive and defensive ratings, strength of schedule, and randomized game-level variance to model realistic outcomes. Here are the results:
| Team | Seed | Region | Record | Rank | Power | Off | Def | Championship Game % | Win Title % |
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| #2 Michigan | 1 | Midwest | 35-3 | 2 | 1 | 3 | 15 |
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| #1 Arizona | 1 | West | 36-2 | 1 | 2 | 5 | 11 |
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| #8 Illinois | 3 | South | 28-8 | 8 | 4 | 9 | 19 |
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| #4 Connecticut | 2 | East | 33-5 | 4 | 12 | 60 | 3 |
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- Michigan (32.5%) is the clear favorite to cut down the nets. Despite sharing a 1-seed with Arizona, the Wolverines' top-ranked Power Rating gives them an edge in every simulated matchup.
- Arizona (27.2%) is a dangerous second choice. The Wildcats are ranked #1 overall in the Versus performance rankings with a 36-2 record, but their semifinal draw against Michigan is the tougher of the two matchups.
- Illinois (23.6%) is the Cinderella with teeth. As a 3-seed with 8 losses, the Fighting Illini look outmatched on paper — but they're ranked 4th in Power Rating and are actually favored in their semifinal against UConn (62% win probability). Our simulator gave them the highest championship game appearance rate at 55.7%.
- Connecticut (16.9%) faces an uphill battle. The Huskies are ranked 3rd in the nation in defensive rating, but their 60th-ranked offense limits their ceiling. They're underdogs in their semifinal and would likely be underdogs against Michigan or Arizona in the title game.
- The bracket matters: Illinois has the easiest semifinal path (vs. UConn), which is why they reach the championship game more often (55.7%) than any other team — even Michigan (53.9%). But the Illini's lower overall rating means they win the title less often once they get there.
How the Probabilities Converged
One of the fascinating aspects of Monte Carlo simulation is watching the probabilities stabilize as more simulations are run. After just 100 simulations, Illinois appeared to be the favorite at 35%. But by simulation 400, Michigan had overtaken Illinois and never looked back. By 2,000 simulations, all four probabilities had essentially converged to their final values.
Reading the Convergence Chart
The x-axis shows the cumulative number of simulations run. The y-axis shows each team's championship win probability at that point. Notice how:
- Early volatility (0–500 sims): The lines swing wildly. Illinois led for the first 350 simulations before Michigan overtook them — the only lead change in the entire 10,000-simulation run.
- Convergence zone (500–2,000 sims): The probabilities settle into a narrow band. By 1,000 simulations, the final ranking order was established.
- Stability (2,000+ sims): Each team's probability fluctuates by less than 1 percentage point from this point forward, confirming the statistical reliability of the results.
Women's Final Four
Mortgage Matchup Center — Phoenix, AZ | ESPN (Semis) / ABC (Championship)
(1) UConn vs (1) South Carolina
Fri, April 3 • 7:00 PM ET
(1) UCLA vs (1) Texas
Fri, April 3 • 9:30 PM ET
TBD vs TBD
Sun, April 5 • 3:30 PM ET • ABC
A Historic — and Historically Close — Final Four
For only the fifth time in NCAA history, all four No. 1 seeds have reached the Women's Final Four. Even more remarkable: these are the same four teams that made the Final Four in 2025, marking just the second time in history that the same quartet has repeated in back-to-back years. Their combined record entering the Final Four is a staggering 143-7.
But the real headline? There is no clear favorite. Our simulator sees this as the most wide-open Final Four in recent memory — all four teams sit within a 2.2-percentage-point window. Any one of them can win it all.
Versus Simulator Semifinal Predictions
#3 Connecticut
Big East (38-0)#4 South Carolina
SEC (35-3)#2 Texas
SEC (35-3)#1 UCLA
Big Ten (35-1)Championship Probabilities — 10,000 Simulations
We ran the same 10,000-simulation Monte Carlo process for the Women's Final Four. The result? The closest four-team race our simulator has ever produced. Just 2.2 percentage points separate the most likely champion from the least likely. For context, the men's Final Four has a 15.6-point gap between first and last.
| Team | Seed | Region | Record | Rank | Power | Off | Def | Championship Game % | Win Title % |
|---|---|---|---|---|---|---|---|---|---|
| #3 Connecticut | 1 | Fort Worth | 38-0 | 3 | 1 | 5 | 1 |
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| #1 UCLA | 1 | Sacramento | 35-1 | 1 | 2 | 3 | 3 |
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| #4 South Carolina | 1 | Sacramento | 35-3 | 4 | 3 | 2 | 4 |
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| #2 Texas | 1 | Fort Worth | 35-3 | 2 | 4 | 4 | 2 |
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- This is essentially a coin flip — four ways. The gap between UConn/UCLA at 25.8% and Texas at 23.6% is just 2.2 points. In 10,000 simulations, no team separated itself from the pack. Every team wins the title roughly 1 in 4 times.
- UConn (25.8%) holds the slimmest of edges, powered by the nation's #1 Power Rating, #1 defensive rating, and a perfect 38-0 record. They're the defending champions riding a 54-game win streak — but even with all of that, the simulator gives them barely a quarter chance of repeating.
- UCLA (25.8%) is statistically tied with UConn at the top. Ranked #1 overall in the Versus performance rankings with just one loss all season (to Texas), the Bruins are still seeking their first-ever national championship. The simulator says this is their best chance yet.
- South Carolina (24.8%) is in the mix despite being the "lowest-ranked" team here at #4. Dawn Staley's squad boasts the #2 offensive rating in the country and is making their sixth straight Final Four. Championship pedigree matters, and the Gamecocks have three national titles to prove it.
- Texas (23.6%) rounds out the group, but "last place" in this field means losing to first by 2.2 points. The Longhorns own the #2 defensive rating and already have a win over UCLA this season. Don't count them out.
- Both semifinals are virtual toss-ups. UConn vs. South Carolina is 51-49. UCLA vs. Texas is 52-48. The predicted point spreads are less than 0.6 points in both games. There is no clear path to the title — every route runs through an elite opponent.
How the Probabilities Converged
Unlike the men's bracket, where Michigan separated from the pack early, the women's convergence chart tells a radically different story. The four lines never meaningfully separate. The lead changed hands repeatedly throughout the 10,000-simulation run, and even at the end, all four teams remain within a narrow band between 23% and 26%. We had to scale the Y-axis to a 20-30% range just to see any differentiation at all.
Reading the Convergence Chart
Compare this to the men's chart above, where Michigan clearly separated from the field by simulation 500. Here, the story is the absence of separation:
- Early chaos (0–500 sims): All four teams trade the lead multiple times. South Carolina, Texas, and Connecticut each held the top spot at various points in the first 500 simulations.
- No convergence point: Unlike the men's side, there is no moment where the lines settle into a clear hierarchy. The four lines remain intertwined throughout the entire run.
- The narrow band: After 2,000 simulations, all four teams are locked between 23.5% and 26%. The chart had to be zoomed in (Y-axis: 20-30%) to show any visual difference at all. In the men's bracket, the same chart spans 15% to 35%.
- What this means: When even 10,000 simulations can't separate the field, you're looking at a genuinely wide-open tournament. Enjoy it — Final Fours this competitive are rare.
| Metric | Men's Final Four | Women's Final Four |
|---|---|---|
| Favorite's win probability | 32.5% (Michigan) | 25.8% (UConn/UCLA tied) |
| Gap between 1st and 4th | 15.6 points | 2.2 points |
| Closest semifinal spread | 2.03 pts (AZ-MICH) | 0.49 pts (CONN-SC) |
| Lead changes in convergence | 1 (ILL→MICH at sim 400) | Multiple (no team held lead for long) |
| All teams within 5% of each other? | No | Yes |
Methodology
What is a Monte Carlo Simulation?
A Monte Carlo simulation is a mathematical technique that uses repeated random sampling to estimate the probability of different outcomes. Instead of predicting a single result, we simulate the event thousands of times, each with randomized variance, and then measure how often each outcome occurs.
In our case, we simulated the remaining Final Four games 10,000 times to generate championship probabilities for each team.
How Our Simulator Works
Each simulated game uses the Versus Sports Simulator rating system, which evaluates every Division I team across multiple dimensions:
- Offensive Rating — Points-per-possession efficiency
- Defensive Rating — Opponent points-per-possession efficiency
- Power Rating — Composite overall strength
- Strength of Schedule — Quality of opponents faced
Game Simulation Details
For each simulated game, we calculate a base score for each team using the matchup of one team's offensive rating against the other's defensive rating. We then apply scaled random noise — tighter for lopsided matchups, wider for competitive ones — to model real-world variance. An additional upset factor, calibrated by seed differential and tournament round, introduces the possibility of unexpected outcomes.
Why 10,000 Simulations?
As the convergence chart above demonstrates, probabilities stabilize after roughly 2,000 simulations. We run 10,000 to ensure statistical robustness and to reduce variance in the final percentages to less than 1 percentage point. Running additional simulations beyond this threshold produces negligible changes, confirming that our sample size is more than sufficient.
2026 Final Four FAQ
Semifinal 2: #1 seed Arizona vs #1 seed Michigan
The winners meet in the National Championship on Monday, April 6.
Semifinal 2: #1 seed UCLA vs #1 seed Texas
All four teams are No. 1 seeds — only the fifth time in NCAA Women's Tournament history this has happened. The winners meet in the National Championship on Sunday, April 5.
Women's: Semifinals on ESPN; National Championship on ABC (also streaming via ESPN app).
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