recorded baseball statistics
216408
Earned Run Average--It is the average number of earned runs scored on a picticular picher in 9 innings.
246271
man someone needs to lay off the crack pipe sayin the tigers are better then the sox. look at the records timmie. who has the best record in baseball that would be the sox. is this even a real question because they are the defending champs and have the best record end of story
370097
No, postseason statistics are a seperately kept statistic.  As an example, Hank Aaron holds the home run record with 755, but Mickey Mantle has the playoff record with 18.  Those 18, then, would not count toward his "regular" home run totals.\n\nI find that these statistics, especially for football, can be tough to find in an easy format online.
148860
I think this is what you are looking for;\n\nhttp://www.guinnessworldrecords.com/content_pages/record.asp?recordid=51451
135434
The best I could find is win/loss record since 1987.\n\nMaddux played 6 games in 1986, so I couldn't find stats for wins against in that year.\n\nHowever, Maddux is 18-16 against the Reds and 34-16 against the Mets.
219633
It's just like batting average except that a double counts as 2 hits, a triple counts as 3 and a homerun counts as 4. Basically, it's bases-per-atbat (not including walks or hit-by-pitch) whereas batting average is hits-per-atbat.
132831
Correct the record in the past had been 37 home runs in a single day and on April 13th that changed to 48 homeruns thanks to juiced balls. Hey if you can't juice the player why not juice the ball right?
191167
Baseball - America's Past time
615325
This is an unusual situation but this is how it is handled.  All of the runs that the reliever gives up are earned for the reliever.  However, in the official team stats, the runs are recorded as unearned.  This doesn't happen often but that is how the stats are recorded.
391820
nice overall avg..those hrs and rbis\nb
305439
There were more than 9  Ted Williams and Rogers Hornsby\n\nYear Player            Team HR RBI Bat. Avg.\n1967 Carl Yastrzemski, BOS  44 121 .326 \n1966 Frank Robinson, BAL  49 122 .316 \n1956 Mickey Mantle, NY  52 130 .353 \n1947 Ted Williams, BOS  32 114 .343 \n1942 Ted Williams, BOS  36 137 .356 \n1934 Lou Gehrig, NY  49 165 .363 \n1933 Jimmie Foxx, PHI  48 163 .356 \n1909 Ty Cobb, DET  9 115 .377 \n1901 Nap Lajoie, PHI  14 125 .422 \nNational League MLB Triple Crown Winners \nYEAR PLAYER HR RBI AVG \n1937 Joe Medwick, STL  31 154 .374 \n1933 Chuck Klein, PHI  28 120 .368 \n1925 Rogers Hornsby, STL  39 143 .403 \n1922 Rogers Hornsby, STL  42 152 .401 \n1912 Heinie Zimmerman, CHI  14 103 .372 \n1894 Hugh Duffy, BOS  18 145 .438 \n1878 Paul Hines, PRO  4 50 .358
593187
This site comes directly from Major League Baseball.\nAll leading vote-getters are listed at the bottom of the page.\nThey also list dates for updating the counts.
121061
That would be Frank "Homerun" Baker who led the American League four seasons for most homeruns none more than 12 homeruns a season until in 1919 a player by the name of George Herman "Babe" Ruth hit 29 homerums and the rest as they say is history :>) Babe Ruth was a lefthanded pitcher at that time for the Boston Red Sox. What makes people say Babe Ruth the greatest player to ever play the game regardless of era is that he hit 29 homeruns at a time when 8 ,9 or 10 homeruns was considered great the Babe hit 29. That would be the equivalent for some hitter today to hit around 100 homers !!! And Babe was also a great left handed pitcher !! So yes I consider Babe Ruth the greatest player ever .
447601
HERE is your answer.....\nIt is part of the Baseball Legends Colorized  12 Quarter Set.\nHere is a site with the details..........\nhttp://www.worldwidetreasure.com/prodinfo.asp?number=04804
330375
Prior to Billy Bean, estimates were made by experts with a lot of experience. Now, many methods can produce results that are similar to his. The best method would be a combination of experience and statistics. This is the heart of professional handicapper in any sport. In fact, it makes up the core skills of a arbitrageur in financial markets as well.\n\nAn example of a simple method is linear regression. For exmple, go to yahoo sports and get the statistics of each baseball player on a team. For each game, create a matrix such that each row is the vector of that player's stats (prior to the game) concatenated with a vector of the pitchers stats.\n\nFor example, the first column could be number of games, then at bats, then runs, homers, .... The second part of that row  would be the pitchers stats. The next row would be the next player with the same pitcher and so on. \n\nThere are many ways to construct this matrix. You could do Principal Components Analysis afterwords, you could include variance and covariance, you could include some weighted sum of relief pitchers, you could do different sets for AL or NL, the possibilities are endless. \n\nNext create a vector (called the  response vector) that for each row has the points scored. You'll have to devise a statistic that is some combination of runs and rbi. For simplicity, you could just sum the two. \n\nThis is the player based method. The team based method would construct the matrix as a weighted sum of the entire team's stats as oppossed to each player. Then the response vector would simply be the points the entire teamed score. If you want to be really thorough about it, do both and compare the difference.\n\nOnce you have the matrix and the response vector, you simply perform linear regression to obtain set of weights. If the matrix is 'A' and the points are 'b', then solve for 'x' in the equation in \n\n            Ax = b\n\nMatlab does this pretty well or you could use Mathematria. If you like free stuff, check out a copy of numerical recipies from the school library. There are actually some Perl modules that do this. Some calculators do this as well. Be careful about a method that uses Grahhm-Schmidt or Gaussian Elimination. For very large data sets like the one you should have, you'll have impossible memory requirements, the program will be really slow and you will have bad round off errors.\n\nWhen you have the weights, which is simply a vector, for any game that you want to handicap, you simply construct the vector or set of vectors (in the 'by player' case) that represent the game and then multiply the matrix representation of the game by the weights to obtain the estimate for the score. \n\nSometimes you may want to know the varianc of this estimate, because you believe your model may inaccurate for a particular game, or the estimate seems way off. So if the variance of this estimate is too high, you want to 'blend' it with a prior estimate which is simply the average total score of all games. A simple way to estimate error is to use the residuals of the regression estimate. You can also compute the the square of the score. Then the variance is the expectcted square of the score minus the square of the expected score.\n\nIn general, with enough data and enough stats (if you use some method to control for the curse of dimensionality), you can actually get really close to what bookies do, just using  Yahoo data.
38735
I'm assuming you're referring to the HR record.  I would probably say Griffey, A-Rod, Pujols or Vlad.  All four are team-players who are natural hitters without taint of steroids and they all love the game for the game.
107820
http://www.worldbaseballclassic.com/2006/index.jsp