Tag Archives: Indianapolis Colts

The methodology of prediction market event study — Multiple Causes Edition — REDUX

Keith Jacks Gamble on Michael Abramowicz’s Gamble on Gambling on Keith Jacks Gamble’s Super Bowl Analysis Highlights: I agree that the simultaneity problem and the anticipation problem are confounding factors in assessing a player’s contribution to his team’s chance of … Continue reading

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Super Bowl Analysis Highlights

The Colts entered the game with a 68% chance of winning. The Bears winning the coin toss made them 0.5% more likely to win. Devin Hester’s kick return for a touchdown made the Bears 10.25% more likely to win. Thomas … Continue reading

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An Analysis of the 2007 Superbowl Using Price Changes on TradeSports

An Analysis of the Superbowl Using Price Changes on an Online Prediction Exchange – (TradeSports) – (PDF) – by Keith Jacks Gamble – 2007-02-08 ABSTRACT: I analyze Superbowl XLI by matching price changes for a futures contract on the winner … Continue reading

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Some interesting historical data on the Superbowl

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

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SuperBowl XLI Winner: Indianapolis Colts – REDUX

TradeSports: 40.9% –> 69.6% BetFair: 40% –> 69,4% NewsFutures: 67% — (((Psstt… In passing, note that NewsFutures links to the Wikipedia entry on prediction markets in their contract documentation.)))

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Super Bowl XLI Winner: Indianapolis Colts

TradeSports: 40.9% BetFair: 40%

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Conditional Superbowl victory probabilities

From Tradesports contracts: 70% NFL.PATRIOTS 65% NFL.COLTS 36% NFL.SAINTS 33% NFL.BEARS Cross-posted from CaveatBettor. Last of 3 posts, the prior post available here.

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Latest conditional probabilities for NFL playoff teams

As of noontime Mon Dec 8, the remaining 8 teams bayesian probabilities looked like this: 71% NFL.COLTS 70% NFL.PATRIOTS 67% NFL.CHARGERS 62% NFL.RAVENS 43% NFL.SEAHAWKS 41% NFL.EAGLES 35% NFL.SAINTS 32% NFL.BEARS I have included last week’s probabilities as well. Note … Continue reading

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For those NFL fans who also subscribe to Bayes

Tradesports provides probability markets in Super Bowl and Conference victories. It logically follows that a team can only win the Super Bowl if it wins its conference, i.e. p (B | A) = 1. Bayes’ Theorem provides the probablity of … Continue reading

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