Tag Archives: New York Giants

Assessing Probabilistic Predictions 101

Posted on January 22, 2008 by Chris F. Masse

Lance Fortnow: [...] Notice that when we have a surprise victory in a primary, like Clinton in New Hampshire, much of the talk revolves on why the pundits, polls and prediction markets all “failed.” Meanwhile in sports when we see … Continue reading →

Posted in All Best Posts Ever, Analysis (Meta), Explainers, Science | Tagged Clinton, Dallas, David Pennock, Green Bay, Lance Fortnow, New Hampshire, New York Giants, prediction markets, Predictions, probabilistic predictions, probabilities, probability | 1 Comment

Some interesting historical data on the Superbowl

Posted on February 2, 2007 by Caveat Bettor

From Allen St. John of the WSJ (subscription required): Over the last 22 Super Bowls, 18 — 86% of them — were won by the team that came into the game after allowing fewer regular-season points. (In the 2004-05 regular … Continue reading →

Posted in All Guest Authors's Posts, Analysis (Data), Betting, Exchanges & Markets, Market Prices & Probabilities | Tagged Allen St. John, Buffalo Bills, Chicago, Chicago Bears, Denver Broncos, Indianapolis, Indianapolis Colts, Lovie Smith, Miami, Miami Dolphins, National Football League, New England Patriots, New York Giants, New York Jets, NFL, Oakland Raiders, Peyton Manning, Philadelphia Eagles, quarterback, Rex Grossman, Super Bowl, Super Bowls | Leave a comment

Tag Archives: New York Giants

Assessing Probabilistic Predictions 101

Some interesting historical data on the Superbowl

Meta

Recent Posts