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The Padres are close to re-signing starter Josh Johnson. If he does sign he will join the surplus of starting pitchers for San Diego.

The Royals have signed starting pitcher Kris Medlen to a 2 year $8.5M contract. 208 more words


St. Petersburg City Council votes 5-3 against MOU allowing Rays to explore Tampa

The Rays and St. Petersburg appeared to have a deal in place that would allow the team to look at potential ballpark sites in Tampa for a price. 248 more words


From your 'Yankee' Daughter In Law...

Making more Christmas gifts. My mother in law will know she is loved. All I’m saying.

Wood burned cutting board with water colors.

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The Royals sign Kris Medlen for $8.5M over 2 years.


We thought they were finished, but apparently they’re not! The Royals have added to their week of free agent pick ups –  1,013 more words


Peyton Burdick keeps the family tradition at Glen Este

UNION TOWNSHIP – The Burdicks of Glen Este High School collect letters like “Wheel of Fortune” contestants.

Tyler Burdick graduated last spring with 11 letters during his four-year career with the Trojans. 519 more words


Gaussian distribution of NBA scores

You can see the most common scores in such sports as basketball, football, and baseball in Philip Bump’s fun Wonkblog post here. Mr Bump writes: “Each sport follows a rough bell curve … Teams that regularly fall on the left side of that curve do poorly. 15 more words


Joseph Nebus reblogged this on nebusresearch and commented:

The Prior Probability blog points out an interesting graph, showing the most common scores in basketball teams, based on the final scores of every NBA game. It's actually got three sets of data there, one for all basketball games, one for games this decade, and one for basketball games of the 1950s. Unsurprisingly there's many more results for this decade --- the seasons are longer, and there are thirty teams in the league today, as opposed to eight or nine in 1954. (The Baltimore Bullets played fourteen games before folding, and the games were expunged from the record. The league dropped from eleven teams in 1950 to eight for 1954-1959.)

I'm fascinated by this just as a depiction of probability distributions: any team can, in principle, reach most any non-negative score in a game, but it's most likely to be around 102. Surely there's a maximum possible score, based on the fact a team has to get the ball and get into position before it can score; I'm a little curious what that would be.

Prior Probability itself links to another blog which reviews the distribution of scores for other major sports, and the interesting result of what the most common basketball score has been, per decade. It's increased from the 1940s and 1950s, but it's considerably down from the 1960s.