Frequent Links
Base runs
This article needs additional citations for verification. (December 2007) 
Base Runs (BsR) is a baseball statistic invented by sabermetrician David Smyth to estimate the number of runs a team "should" have scored given their component offensive statistics, as well as the number of runs a hitter/pitcher creates/allows. It measures essentially the same thing as Bill James' Runs Created, but as sabermetrician Tom M. Tango points out, BaseRuns models the reality of the runscoring process significantly better than any other "run estimator".
Contents
Purpose and formula
Base Runs has multiple variations, but all take the form^{[1]}
 <math>Template:A * B \over B + C + D</math>
Smyth detailed the following forms of the statistic:
The simplest, uses only the most common batting statistics^{[2]}
A = H + BB  HR
B = (1.4 * TB  .6 * H  3 * HR + .1 * BB) * 1.02
C = AB  H
D = HR
An offshoot includes significantly more batting statistics^{[3]}
A = H + BB + HBP  HR  .5 * IBB
B = (1.4 * TB  .6 * H  3 * HR + .1 * (BB + HBP  IBB) + .9 * (SB  CS  GIDP)) * 1.1
C = AB  H + CS + GIDP
D = HR
A third formula uses pitching statistics^{[4]}
A = H + BB  HR
B = (1.4 * (1.12 * H + 4 * HR)  .6 * H  3 * HR + .1 * BB) * 1.1
C = 3 * IP
D = HR
Other sabermetricians have developed their own formulas using Smyth's general form, mainly by tinkering with the B factor.
Because the Base Runs statistic attempts to model the team run scoring process, a formula cannot be applied directly to an individual player's statistics. Doing this would result in a run estimate for an entire team that puts out the individual's statistics. A workaround for this issue is to find the team's Base Runs with the player in the lineup and the team's Base Runs with a replacement level player in the lineup.^{[5]} The difference between these values approximates the individual's BsR statistic.
Advantages of base runs
Base Runs was primarily designed to provide an accurate model of the run scoring process at the Major League Baseball level, and it accomplishes that goal very well: in recent seasons, BsR has the lowest RMSE of any of the major run estimation methods. In addition, its accuracy holds up in even the most extreme of circumstances and/or leagues. For instance, when a solo home run is hit, Base Runs will correctly predict one run having been scored by the batting team. By contrast, when Runs Created assesses a solo HR, it predicts 4 runs to be scored; likewise, most linear weightsbased formulas will predict a number close to 1.4 runs having been scored on a solo HR. This is because each of these models were developed to fit the sample of a 162game MLB season; they work well when applied to that sample, of course, but are woefully inaccurate when taken out of the environment for which they were designed. Base Runs, on the other hand, can be applied to any sample at any level of baseball (provided you can calculate the B multiplier), because it models the way the game of baseball operates, and not just for a 162game season at the highest professional level. This means Base Runs can be applied to high school or even Little League statistics.
Weaknesses of base runs
From the TangoTiger wiki
"Base Runs adheres to more of the fundamental constraints on run scoring than most other run estimators, but it is by no means perfectly compliant. Some examples of shortcomings:
 BsR will sometimes give a negative estimate; this happens when the B factor is negative.
 BsR will sometimes project many more than three runners left on base per inning, despite the fact that three is the upper limit. For example, if walks have a B coefficient of .1, an inning with 10 walks and 3 outs will yield an estimate of 10*1/(1+3) = 2.5 runs, meaning that 7.5 runners must have been stranded.
 Tangotiger's research found that BsR overvalued events within the .500.800 team OBP range
One avenue for possible improvement in the model is the scoring rate estimator B/(B + C). There is no deep theory behind this constructit was chosen because it worked empirically. It is possible that a better score rate estimator could be developed, although it would most likely have to be more complex than the current one."
See also
References
External links
 Tango on Baseball
 U.S. Patriot on BaseRuns (1)
 U.S. Patriot on BaseRuns (2)
 Base Runs: A Promising New Run Estimator
 Theoretical Team BaseRuns
