How To Calculate March Madness Bracket

Editor’s note: This article is adapted from previousarticles about how our March Madness predictions work.

We’ve been issuing probabilistic March Madness forecasts in some form since 2011, when FiveThirtyEight was just a couple of people writing for The New York Times. Initially, we focused on the men’s NCAA Tournament, publishing a table that gave each team’s probability of advancing deep (or not-so-deep) into the tournament. Over the years, we expanded to forecasting the women’s tournament as well. And since 2016, our forecasts have updated live, as games are played. Below are the details on each step that we take — including calculating power ratings for teams, win probabilities for each game and the chance that each remaining team will make it to any given stage of the bracket.

There are a few different methods of scoring your March Madness pool, but the most standard one is usually the one everyone understands. Starting with the Round of 64, players get one point for. March Madness Bracket Scoring There are a variety of scoring systems in NCAA pools. The most common is to double the points for each round: 1-2-4-8-16-32. This puts a lot of emphasis on the championship, making the early rounds largely irrelevant. If you beat the odds with a perfect bracket, you stand to gain 1 million dollars a year for life, courtesy of Warren Buffet. For those looking to take their March Madness betting to a whole new level, there’s an increasingly popular alternative to the familiar routine of filling out an NCAA bracket every March: the Calcutta auction. Simplify your life this year by letting manage your March Madness Bracket Pool for you. We take care of accumulating your members' picks for the field of 64 teams, updating the games, calculating the results, and generating easy-to-understand reports for your members. Free Online Tool to Calculate the Total Points Scored in your March Madness Bracket Pool. Help Calculating your Point Total for the NCAA Tournament Bracket.


March Madness Predictions: FiveThirtyEight’s men’s and women’s NCAA Tournament forecasting models calculate the chance of each team reaching each round. See our predictions for 2018 »

Men’s team ratings

Our men’s model is principally based on a composite of six computer power ratings:

  • Ken Pomeroy’s ratings
  • Jeff Sagarin’s “predictor” ratings
  • Sonny Moore’s ratings
  • Joel Sokol’s LRMC ratings
  • ESPN’s Basketball Power Index
  • FiveThirtyEight’s Elo ratings (described below)

Each of these ratings has a strong track record in picking tournament games. Best slot machine apps australia. We shouldn’t make too much of the differences among them: They are all based on the same basic information — wins and losses, strength of schedule, margin of victory — computed in slightly different ways. We use six systems instead of one, however, because each system has different features and bugs, and blending them helps to smooth out any rough edges. (Those rough edges matter because even small differences can compound over the course of a single-elimination tournament that requires six or seven games to win.)

To produce a pre-tournament rating for each team, we combine those computer ratings with a couple of human rankings:

  • The NCAA selection committee’s 68-team “S-curve”
  • Preseason rankings from The Associated Press and the coaches

These rankings have some predictive power — if used in moderation. They make up one-fourth of the rating for each team; the computer systems are three-fourths.

It’s not a typo, by the way, to say that we look at preseason rankings. The reason is that a 30- to 35-game regular season isn’t all that large a sample. Preseason rankings provide some estimate of each team’s underlying player and coaching talent. It’s a subjective estimate, but it nevertheless adds some value, based on our research. If a team wasn’t ranked in either the Associated Press or Coaches polls, we estimate its strength using the previous season’s final Sagarin rating, reverted to the mean.

To arrive at our FiveThirtyEight power ratings, which are a measure of teams’ current strength on a neutral court and are displayed on our March Madness predictions interactive graphic, we make two adjustments to our pre-tournament ratings.

The first is for injuries and player suspensions. We review injury reports and deduct points from teams that have key players out of the lineup. This process might sound arbitrary, but it isn’t: The adjustment is based on’s Win Shares, which estimates the contribution of each player to his team’s record while also adjusting for a team’s strength of schedule. So our program won’t assume a player was a monster just because he was scoring 20 points a game against the likes of Abilene Christian and Austin Peay. The injury adjustment also works in reverse: We review each team to see which are healthier going into the tournament than they were during the regular season.

The second adjustment takes place only once the tournament is underway. The FiveThirtyEight model gives a bonus to teams’ ratings as they win games, based on the score of each game and the quality of their opponent. A No. 12 seed that waltzes through its play-in game and then crushes a No. 5 seed may be much more dangerous than it initially appeared; our model accounts for this. On the flip side, a highly rated team that wins but looks wobbly against a lower seed often struggles in the next round, we’ve found.

When we forecast individual games, we apply a third and final adjustment to our ratings, for travel distance. Are you not at your best when you fly in from LAX to take an 8 a.m. meeting in Boston? The same is true of college basketball players. In extreme cases (a team playing very near its campus or traveling across the country to play a game), the effect of travel can be tantamount to playing a home or road game, despite being on an ostensibly neutral court. This final adjustment gives us a team’s travel-adjusted power rating, which is then used to calculate their chance of winning that game.

Women’s team ratings

We calculate power ratings for the women’s tournament in much the same way as we do for the men’s. However, because of the relative lack of data for women’s college basketball — a persistent problem when it comes to women’s sports — the process has a few differences:

  • Three of the six power ratings that we use for the men’s tournament aren’t available for women. Fortunately, that means three of them are: Sagarin’s “predictor” ratings, Sokol’s LRMC ratings and Moore’s ratings. We also use a fourth system, the Massey Ratings.
  • The NCAA doesn’t publish the 68-team S-curve data for the women. So we use the teams’ seeds instead, with the exception of the four No. 1 seeds, which the selection committee does list in order.
  • For the women’s tournament, there isn’t much in the way of injury reports or advanced individual statistics, so we don’t include injury adjustments.

Turning power ratings into a forecast

Once we have power ratings for every team, we need to turn them into a forecast — that is, the chance of every team reaching any round of the tournament.

Most of our sports forecasts rely on Monte Carlo simulations, but March Madness is different; because the structure of the tournament is a single-elimination bracket, we’re able to directly calculate the chance of teams advancing to a given round.

We calculate the chance of any team beating another with the following Elo-derived formula, which is based on the difference between the two teams’ travel-adjusted power ratings:

Because a team needs to win only a single game to advance, this formula gives us the chance of a team reaching the next round in the bracket. The probability of a team reaching a future round in the bracket is based on a system of conditional probabilities. In other words, the chance of a team reaching a given round is the chance they reach the previous round, multiplied by their chance of beating any possible opponent in the previous round, weighted by their likelihood of meeting each of those opponents.

Live win probabilities

While games are being played, our interactive graphic displays a box for each one that shows updating win probabilities for both teams, as well as the score and the time remaining. These probabilities are derived using logistic regression analysis, which lets us plug the current state of a game into a model to produce the probability that either team will win the game. Specifically, we used play-by-play data from the past five seasons of Division I NCAA basketball to fit a model that incorporates:

  • Time remaining in the game
  • Score difference
  • Pregame win probabilities
  • Which team has possession, with a special adjustment if the team is shooting free throws

The model doesn’t account for everything, however. If a key player has fouled out of a game, for example, the model doesn’t know, and his or her team’s win probability is probably a bit lower than what we have listed. There are also a few places where the model experiences momentary uncertainty: In the handful of seconds between the moment when a player is fouled and the free throws that follow, for example, we use the team’s average free-throw percentage to adjust its win probability. Still, these probabilities ought to do a reasonably good job of showing which games are competitive and which are essentially over.

Also displayed in the box for each game is our “excitement index” (check out the lower-right corner) — that number also updates throughout a game and can give you a sense of when it’ll be most fun to tune in. Loosely based on Brian Burke’s NFL work, the index is a measure of how much each team’s chances of winning have changed over the course of the game.

The calculation behind this feature is the average change in win probability per basket scored, weighted by the amount of time remaining in the game. This means that a basket made late in the game has more influence on a game’s excitement index than a basket made near the start of the game. We give additional weight to changes in win probability in overtime. Values range from 0 to 10, although they can exceed 10 in extreme cases.

FiveThirtyEight’s Elo ratings

If you’ve been a FiveThirtyEight reader for really any length of time, you probably know that we’re big fans of Elo ratings. We’ve introduced versions for the NBA and the NFL, among other sports. Using game data from ESPN, and other sources, we’ve also calculated Elo ratings for men’s college basketball teams dating back to the 1950s. Our Elo ratings are one of the six computer rating systems used in each team’s pre-tournament rating.

Our methodology for calculating these Elo ratings is very similar to the one we use for the NBA. Elo is a measure of a team’s strength that is based on game-by-game results. The information that Elo relies on to adjust a team’s rating after every game is relatively simple — including the final score and the location of the game. (As we noted earlier, college basketball teams perform significantly worse when they travel a long distance to play a game.)

It also takes into account whether the game was played in the NCAA Tournament. We’ve found that historically, there are actually fewer upsets in the tournament than you’d expect from the difference in teams’ Elo ratings, perhaps because the games are played under better and fairer conditions in the tournament than in the regular season. Our Elo ratings account for this and weight tournament games slightly higher than regular-season ones.

Because Elo is a running assessment of a team’s talent, at the beginning of each season, a team gets to keep its rating from the end of the previous one, except that we also revert it to the mean. The wrinkle here, compared with our NFL Elo ratings, is that we revert college basketball team ratings to the mean of the conference.

And that’s about it! (Congratulations if you made it this far.) While we make no guarantee that you’ll win your pool if you use our system, we think it’s done a prettygood job over the years. Hopefully, you’ll have fun using it to make your picks, and it will add to your enjoyment of both NCAA tournaments.

No word in the English language sees more of a massive spike in use around mid-February like 'Bracketology.' This 12-letter, five-syllable word enters the vocabulary of all genders and races and takes over mainstream sports media until Championship Monday. Then, much like Villanova's title aspirations, it disappears without a trace.

With the anticipation of the actual tournament growing stronger and Selection Sunday just a couple of days away, many people will be chomping at the bit to fill their bracket and claim glory.

There's no better feeling than printing off one, two, or five brackets and putting your pen to the paper in the hopes that this is your year.

If you want to organize a March Madness bracket pool amongst your peers, there will be a few things you must do in order to run a successful pool.

Prospective Players

First, you will need willing participants. I suggest firing off a quick email, text or even phone call to gauge their interest. Once you have explained how the pool is going to be run, let them know they can expect an email with the link and sign-in information if you are doing it online or that they can pick up a printable bracket right here.

Setting Up the Pool

Once you have reached out to those you think might be interested in playing, set up an account and pool group on any office pool manager of your choice ( and are the most common). From here, you can set the rules and begin entering your competitors email so they can receive a link to enter.

If you choose the old-school method of printed brackets, make sure to have enough copies ready for those who want to partake. Make sure the rules are clearly stated on this page with entry fee and deadline for submission.

Setting Up an Entry Fee

This very important part could be a deterrent for many people. Obviously, the more people invested in your pool the better the payout will be to the winner. You should be aware of what people are willing to pay to participate. There is nothing worse than a lackluster pool with 10 players playing for $50. Make the fee reasonable and clearly state it no matter which method you choose to handle (online/paper bracket). In addition, another thing to state is how many brackets a single person can enter. I usually participate in pools with a maximum of two entries per person. I think that is a reasonable number since it limits people to the number of different outright winners (we'll touch base on why this is important later on), but to each their own.

How To Calculate March Madness Brackets 2019

Scoring Your Pool

There are a few different methods of scoring your March Madness pool, but the most standard one is usually the one everyone understands.

Starting with the Round of 64, players get one point for getting the correct team to win in each of the 32 games.

Best March Madness Online Brackets

In the Round of 32, players get two points for picking the winners of the 16 games.

March Madness Bracket Template

In the Sweet 16, four points for each winner.

In the Elite 8, six points for each winner.

In the Final Four, 10 points for each winner.

In the Championship Game 16 points.

The National Champion should realistically determine your pool winner. It does not always happen this way, but if you are giving out enough points throughout each round, the goal of picking the sole survivor should serve profitable after three long weeks.


Online pools will automatically lock out players by the tip-off of the first game on Thursday. If doing an online method, you are lucky and will not have to take a stand against late entries trickling in as the first batch of games are at half time.

If you are to run a pen-and-paper style bracket, you must clarify the deadline -- usually half hour before tip-off.

**Important Note: Collect entry fees as you collect or see brackets submitted**

I cannot emphasize this enough. You do not want to be chasing down Joey from sales or your second cousin who lives on the other side of the country as the National Title game is tipping off.


This is tricky to set up because you need to know how much money you will have in the pot. If you envision this pool being small, amongst a handful of friends, I would usually say winner take all.

If you can see your pool getting 30 or more people participating, most payout structures work as follows: The winner gets 70 percent of the pot, the runner up gets 20 percent and a modest 10 percent goes to the third-place finisher. If there is leftover dough, or enough total money for nobody to complain about, last place usually gets his or her money back. Believe me, finishing in last place is hard to do.

That about sums it up for running your own March Madness pool.

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