Tag Archives: Chicago Bears

Super Bowl Analysis Highlights — MR Comments

The Marginal Revolution commenters on Keith Jacks Gamble’s Super Bowl Analysis Highlights: very interesting, but I disagree with his assignment of results to individual players. The results of individual plays, and their effect on the probabilities, depend on a lot … Continue reading

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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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Chicago Bears to Win the NBA Championship!!????

— Did you mean the Chicago… Bulls?? — Addendum: Psstt… “5.4% = $4.77“… Hmmmmm…

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The Chicago Bears didn’t go all the way, Mister Barak Obama.

Expired TradeSports data: — Expired data for BetFair are not available —BetFair is retarded on that one. — Alas, I haven’t compared the money matched on both exchanges —did someone do it? I expect BetFair to come with a superior … Continue reading

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Super Bowl XLI

TradeSports Super Bowl XLI Winner Super Bowl XLI. Indianapolis vs Chicago. Sun Feb 04 BetFair NFL Season 06/07 Super Bowl XLI Indianapolis v Chicago – Indiana Colts – Chicago Bears Super Bowl Winner – Indiana Colts – Chicago Bears

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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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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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