Last March, I was in 37th place in my 80-person office pool after the first round. My champion had just lost. The group chat had written me off. Someone posted a GIF of a coffin.
I wasn't ready to accept it. I kept thinking: sure, I lost my champion, but I still had three Final Four teams alive. I still had solid Sweet 16 picks. There had to be some math I could do to figure out if I was actually dead or if everyone was just looking at the wrong numbers.
So I did what any reasonable person with a coding background would do. I stayed up way too late and built a simulator.
That simulator turned into BracketSim.
The Problem I Was Trying to Solve
Every bracket pool I've ever been in works the same way. You fill out a bracket. You watch games. You check the standings. You either feel good or bad based on a number that - as I quickly learned - doesn't actually tell you much.
I wanted to answer one question: what is my actual probability of winning this pool? Not "am I in 3rd place" but "do I have a 12% chance or a 0.3% chance?"
The answer required simulating the rest of the tournament thousands of times, scoring every bracket in the pool each time, and counting how often each person won. Monte Carlo simulation.
It sounded simple. It was not simple. But once I got it working, the results were fascinating.
Finding #1: Last Place After Round 1 Wins More Than You Think
I ran historical simulations across dozens of pools. In a typical 50-person pool, the player in dead last after the first round ends up winning the whole thing about 0.5% of the time.
That's not a typo. Last place. Round 1. Still wins.
How? Because first-round standings are almost decorative. They're a snapshot of one weekend's results with five more rounds of increasingly valuable games ahead. The person in last might have a busted first round but a pristine Final Four. Once those later-round points kick in, the standings invert.
Finding #2: Picking the Popular Champion Is a Losing Strategy in Big Pools
In large pools (75+ people), picking the most popular champion is a negative expected value play.
Here's the math. Say the #1 overall seed has a 20% chance of winning the tournament. In a 100-person pool, roughly 40 people picked them. If that team wins, you split the championship points with 39 other brackets. Your advantage is nearly zero. If they lose, you're in the same boat as those 39 others.
Now say a #2 seed has a 12% chance of winning. Only 8 people in your pool picked them. If they win, you just picked up 32 points that 92% of the pool didn't get. That's a massive edge.
The expected value of the #2 seed pick is often higher than the #1, even though the #1 is more likely to win the tournament. Because bracket pools reward differentiation, not just accuracy.
| Champion Pick | Win Odds | Pool Ownership | Pool Value |
|---|---|---|---|
| #1 Overall (most popular) | ~20% | ~40% of pool | Low - shared by many |
| Strong #2 seed (moderate) | ~12% | ~8% of pool | High - rarely shared |
| Dark horse #4 seed | ~4% | ~2% of pool | Highest if it hits - but rarely does |
The sweet spot is a team that's legitimately good but underowned in your specific pool.
Finding #3: The Most Important Round Isn't the Championship
I expected the championship game to be the highest-leverage moment for pool outcomes. It's worth the most points, after all.
It's not. In most scoring systems, the Elite Eight and Final Four rounds produce the most pool-winner separation. Here's why: by the Elite Eight, brackets have diverged significantly. The chalk brackets and the upset brackets have split into clear camps. The games in this range create the biggest swings in win probability because they knock out large chunks of the field.
The championship game matters, obviously. But by that point, most pools have been functionally decided by what happened in the rounds before it.
Finding #4: Pre-Tournament Win Probability Is Higher Than 1/N
This one surprised me. In a 100-person pool, you'd think each player starts with a 1% chance of winning. They don't.
The average starting probability is 1%, sure - the probabilities have to add up to 100%. But the distribution is uneven. Some brackets, before a single game is played, already have a 3-5% chance because their combination of picks is strategically superior for that specific pool.
Other brackets start below 0.5%.
The difference comes from bracket construction. Players who happened to pick a less popular but viable champion, who have differentiated picks in the middle rounds, and whose brackets are resilient to common upsets - they start ahead before the tournament tips off.
What Surprised Me Most
The thing I didn't expect was how emotional bracket pools are. People check standings compulsively. They declare their bracket dead after one bad game. They celebrate after one good game. Almost none of this maps to their actual probability.
Building the simulator showed me that the drama of March Madness and the math of March Madness are two completely different things. The drama happens on the court. The math happens in the pool. And almost nobody is tracking the math.
That's what MyBracketSim is for. Not to take the fun out of it - but to add a layer that's been missing. The layer where you actually know your odds.
Try It Yourself
BracketSim is free to import your pool. You can see your standings, browse everyone's picks, and get a feel for where things stand. Full simulation results and rooting interest analysis are available with BracketSim Pro for $5.
Check it out at mybracketsim.com
Whether you're in first place or last, you deserve to know the real number.
In short: I built a bracket pool simulator to figure out if my gutted bracket still had a chance. What I found: last place can still win, popular champion picks are bad strategy in big pools, the most important round isn't the final, and your pre-tournament odds are never truly equal. The math of bracket pools is nothing like the standings suggest.