Runs created (RC) is a baseball statistic invented by Bill James to estimate the number of runs a hitter contributes to their team.
James explains in his book, The Bill James Historical Baseball Abstract , why he believes runs created is an essential thing to measure:
With regard to an offensive player, the first key question is how many runs have resulted from what he has done with the bat and on the basepaths. Willie McCovey hit .270 in his career, with 353 doubles, 46 triples, 521 home runs and 1,345 walks -- but his job was not to hit doubles, nor to hit singles, nor to hit triples, nor to draw walks or even hit home runs, but rather to put runs on the scoreboard. How many runs resulted from all of these things? [1]
Runs created attempts to answer this bedrock question. The conceptual framework of the "runs created" stat is:
where
In the most basic runs created formula:
where H is hits, BB is base on balls, TB is total bases and AB is at-bats.
This can also be expressed as
where OBP is on-base percentage, SLG is slugging average, AB is at-bats and TB is total bases, however OBP includes the hit-by-pitch while the previous RC formula does not.
This formula expands on the basic formula by accounting for a player's basestealing ability.
where H is hits, BB is base on balls, CS is caught stealing, TB is total bases, SB is stolen bases, and AB is at bats.
This formula accounts for all basic, easily available offensive statistics.
where H is hits, BB is base on balls, CS is caught stealing, HBP is hit by pitch, GIDP is grounded into double play, TB is total bases, IBB is intentional base on balls, SH is sacrifice hit, SF is sacrifice fly, SB is stolen base, and AB is at bats.
Earlier versions of runs created overestimated the number of runs created by players with extremely high A and B factors (on-base and slugging), such as Babe Ruth, Ted Williams and Barry Bonds. This is because these formulas placed a player in an offensive context of players equal to himself; it is as if the player is assumed to be on base for himself when he hits home runs. Of course, this is impossible, and in reality, a great player is interacting with offensive players whose contributions are inferior to his. The 2002 version corrects this by placing the player in the context of his real-life team. This 2002 version also takes into account performance in "clutch" situations.
where K is strikeout.
The initial individual runs created estimate is then:
If situational hitting information is available, the following should be added to the above total:
where RISP is runners in scoring position, BA is batting average, HR is home run, and ROB is runners on base. The subscripts indicate the required condition for the formula. For example, means "hits while runners are in scoring position."
This is then figured for every member of the team, and an estimate of total team runs scored is added up. The actual total of team runs scored is then divided by the estimated total team runs scored, yielding a ratio of real to estimated team runs scored. The above individual runs created estimate is then multiplied by this ratio, to yield a runs created estimate for the individual. [2]
Another, simpler, way to calculate runs created is to add runs to runs batted in (RBI) subtracted by home runs. The reason for this when you hit a home run, you earn a run, because you scored a run, and an RBI, because you batted yourself in.
This section needs expansionwith: A formula for wRC+. You can help by adding to it. (July 2022) |
Weighted runs created plus (wRC+) takes runs created and adjusts it to account for ballpark factors and the era a player played in. [3]
The same information provided by runs created can be expressed as a rate stat, rather than a raw number of runs contributed. This is usually expressed as runs created per some number of outs, e.g. (27 being the number of outs per team in a standard 9-inning baseball game).
Runs created is believed to be an accurate measure of an individual's offensive contribution because when used on whole teams, the formula normally closely approximates how many runs the team actually scores. Even the basic version of runs created usually predicts a team's run total within a 5% margin of error. [4] Other, more advanced versions are even more accurate.
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