June 24, 2010 — Andrew Moylan, Technical Communication & Strategy

The knockout stage of the 2010 FIFA World Cup is about to begin in South Africa. At the time of writing, every team has one group stage match remaining, and most teams still have a chance to finish in the top two places in their group and progress to the knockout stage (see the tournament schedule and group stage standings).

There are different approaches to ranking world football teams. The most well known is FIFA’s official world rankings, which are derived from points gained and lost in each match according to a heuristic set of rules that generally reward winning against higher-ranked opponents in more-important tournaments.

A simple alternative with a more statistical basis is an Elo rating system (described in more detail below). A handy property of Elo rating systems is that they directly provide an estimate of the probability that a given team will perform better than another. We can use Mathematica with that to set up simulations of the knockout stage of the World Cup. This lets us estimate things like the chance of each team winning the tournament. We’ll also generate some nice visualizations of the results, such as the following simulated knockout stage (based on the current top two teams in each group):

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April 1, 2010 — Marty McKee, Copywriter

No sport places more importance on its statistics than does baseball. The late sportswriter Leonard Koppett wrote in his standout 1967 book The Thinking Fan’s Guide to Baseball that “statistics are the lifeblood” of the game.

In fact, statistics are so important to baseball that they have inspired their own field: sabermetrics. Derived from SABR, the abbreviation for the Society for American Baseball Research, sabermetrics were popularized by Bill James with the publication of his first Bill James Baseball Abstract in 1977.

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March 16, 2010 — Cory Hatfield, Public Relations Associate

For every college basketball fan, there come points in your life when you have to make some decisions, tough decisions. Who will be in your Final Four this year? Will the number-one seeds ride the bracket to the Final Four? Who’s the 5–12 seed upset? How will the Big Ten fare?

We’re heading for the tipoff of what I feel is the greatest sports weekend in the United States. While gearing up for a lot of game watching, I found a great blog post from last March by Jeff Todd, one of our Commercial Sales Account Managers, called “March Madness in Mathematica.” In it he explained how he created an interactive NCAA Men’s Basketball bracket in Mathematica.

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March 12, 2010 — Cory Hatfield, Public Relations Associate

This March 14 marks the 22nd annual Pi Day. You can learn a lot about pi on MathWorld, Wolfram|Alpha, The Wolfram Functions Site, and the Wolfram Demonstrations Project. And since pi is a built-in Mathematica symbol, you can find more information in the Mathematica Documentation Center.

I remember my first Pi Day celebration—in the fourth grade. My teacher, Mr. Thompson, had our entire class cut construction paper strips and write numbers on each piece of paper. The end result was Northview Elementary School’s largest paper chain, with over 300 of the constant’s numerals.

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February 4, 2010 — Cory Hatfield, Public Relations Associate

Comparing favorite teams and players is a favorite pastime for sports fans.

Most fans, including myself, understand their sports’ basic statistics—batting averages, yards per carry, and so on—but may have trouble calculating the stats. With the Super Bowl coming up in Florida this weekend, I thought it would be interesting to see what Mathematica could do to help calculate one of the most well-known and tough-to-calculate statistics of the National Football League (NFL): quarterback passer rating.

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December 21, 2009 — Wolfram Blog Team

We’re really catching the holiday spirit here at Wolfram Research.

To celebrate, we are launching our first-ever Wolfram Research “Holiday Tweet-a-Day” contest.

Happy Holidays from Wolfram Research

Here’s how it works.

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April 30, 2009 — Robert Raguet-Schofield, User Interface Group

The popularity of Twitter has really exploded in the past few months. The service poses a simple question: “What are you doing?” Users respond in 140 characters or less. The 140-character limit comes from the 160-character limit of SMS messages, minus a few characters for things like the user’s screen name. Twitter could probably best be described as “micro-blogging.” It’s kind of a cross between blogging and instant messaging.

People use Twitter for all kinds of reasons, everything from staying in touch with friends to receiving announcements and support from companies with a presence on Twitter. Here are a few examples:

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April 9, 2009 — Hector Zenil, Special Projects Group

Recent versions of Mathematica introduced useful data functions related to linguistics. In Version 7, Mathematica‘s integrated string manipulation and visualization functions provide a powerful platform for computational linguistics. Both DictionaryLookup and WordData give programmatic access to curated data that’s ready for computation.

DictionaryLookup has been extended to cover more languages, while WordData has information on word meaning, structure, and usage, as well as cognitive and grammatical relationships between words. Let’s look at a range of examples, starting with some interesting and amusing word facts.

DictionaryLookup currently contains word lists for 27 different languages:

In[1]:= DictionaryLookup[All]

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March 16, 2009 — Jeff Todd, Commercial Sales Account Manager

It’s that time again when many of us begin to explore the pseudo-science of bracketology as the United States eagerly approaches the NCAA Men’s Basketball Tournament—March Madness. It’s a frenzied few weeks where statistical analysis and mathematical algorithms make a sudden leap from the desktops of professionals to the homes of millions of sports fans. As a sports fan and as an account manager working with Mathematica and Mathematica Home Edition, a wild idea occurred to me. Could someone with no professional programming training or mathematical degrees, like me, use Mathematica to create something of value, like a March Madness bracket, for someone else?

While I frequently support and work with some of the brightest engineers, scientists, and statisticians in the commercial world, my personal use of Mathematica has been fairly simplistic. What could I do?

I decided to find out.

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February 24, 2009 — Ed Pegg Jr, Editor, Wolfram Demonstrations Project

Wolfram Research has worked with the CBS/Paramount show NUMB3RS since its first season. Now in the fifth season, it remains the most popular show of Friday nights. “The Math behind NUMB3RS” gives a more in-depth look at some of the mathematics in each episode. With season 5, we’ve added a math puzzle to go with each episode. Fifteen episodes into season 5, there are fifteen puzzles available.

The Math behind Numb3rs

Season 5, episode 501 Season 5, episode 502 Season 5, episode 503 Season 5, episode 504 Season 5, episode 505 Season 5, episode 506 Season 5, episode 507 Season 5, episode 508l Season 5, episode 509 Season 5, episode 510 Season 5, episode 511 Season 5, episode 512 Season 5, episode 513 Season 5, episode 514 Season 5, episode 515

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