For years, there’s been a fairly standard way to setup lineups. Managers bat their fastest guys first, put the guy who can hit for power in cleanup, bat the pitcher ninth, etc. It hasn’t changed for almost a century, so why start now?

Sabermetrics begs to differ. Based on probabilities of runners getting on base and being advanced by other hits or walks, a manager can maximize the numbers of runs per game that they get out of the same roster. By minimizing the number of players left on base, a manager maximizes runs scored.

It’s mind-numbing to think that simply re-ordering lineups in a particular way to score more runs is possible, but no manager really does so. While sabermetrics may have infiltrated the front offices of baseball teams everywhere, thanks to Billy Beane and Moneyball, it appears to be lagging behind in the dugout.

Here’s why managers should rethink the old-school way of lineups.

The Superior Logic Behind Sabermetric Lineups

Sabermetric lineup creation, much like sabermetrics as a whole, is based in plenty of math. To maximize run creation, a good lineup should create opportunities for runs — i.e. getting runners into scoring position — and then give those opportunities to the players who can best take advantage of those opportunities.

Old school lineups don’t quite have as solid of a logical foundation. These lineups seem to be based around a particular scenario, as this article describes: the leadoff hitter singles to start out the game, he steals a base, the 2/3 batters either knock him in or advance him another base, and then the cleanup hitter slams a home run to bring everyone home. It’s a nice idea, but basing the entire lineup around this single scenario, one that only truly aligns at the start of a game, doesn’t really make sense. Instead, a lineup should be built to consistently score runs throughout the game — not just right at the start.

Determining Sabermetric Lineups

To create a basic sabermetric lineup, one needs only two things: OBP and SLG. OBP is valuable in creating lineups because OBP indicates two things: 1) how frequently a player will create run-scoring opportunities by getting on base, and 2) how frequently a player can take advantage of run-scoring opportunities by advancing runners or scoring then. SLG is useful in that it tells how easily a player can take advantage of a run-scoring opportunity — a player with a high SLG is more likely to score someone on first base than someone with a low SLG.

To maximize run scoring potential, a lineup should create as many run scoring opportunities as possible, and then capitalize on them. For instance, a leadoff hitter should have one of the best OBP on the team, because as the leadoff hitter, he bats the most often, and thus gets the most opportunities to get on base and create run scoring opportunities. Speed doesn’t have to be a factor. In fact, most of the top of the order should get on base frequently — be it from hits or walks.

The cleanup hitter, in this sabermetric lineup, comes up to bat frequently with runners on base ahead of him. The best hitter on the team should be batted here, because he should be able to take advantage of all of those opportunities placed in front of him. Say that the batter ahead of him singled — a single likely won’t score the runner, but a double might — this is where having both a high SLG and a high OBP comes into play.

What’s the impact between Sabermetic and traditional lineups?

There’s a definite, tangible impact by setting up a lineup according to sabermetrics, instead of tradition. To illustrate this point, let’s make the 2016 Dodgers, already a great team in their own right, even better.

Here is a sample lineup for the Dodgers, based off of the Dodgers’s lineup from July 1, 2016 (replacing Trayce Thompson with Joc Pederson, who played in far more games, and batted in a similar slot throughout the season).

Chase Utley, 2B Corey Seager, SS Justin Turner, 3B Adrian Gonzales, 1B Howie Kendrick, LF Yasiel Puig, RF Joc Pederson, CF Yasmani Grandal, C Pitcher

Assume that the Dodgers rolled out this exact lineup, every day, for 162 games. Using each player’s individual OBP and SLG (and using the OBP and SLG of all Dodgers pitchers averaged together), and using Baseball Musings’ lineup analysis tool, one can calculate that the above lineup could expect to score 4.420 runs per game, or 716 runs over the course of the year. This is very close to the actual figure of 725 runs scored by the Dodgers in 2016, so the above lineup matched (in general) what the Dodgers were rolling out every day in 2016.

But what if Dave Roberts had used the run-optimizing lineup, as determined through Baseball Musings’ tool? The lineup would have looked something like this:

Adrian Gonzales, 1B Corey Seager, SS Chase Utley, 2B Justin Turner, 3B Joc Pederson, CF Yasmani Grandal, C Yasiel Puig, RF Pitcher Howie Kendrick, LF

Suddenly, Gonzales is batting leadoff, the pitcher is batting eighth, and Turner is hitting cleanup. According to the tool, this lineup would expect to score 4.723 runs per game, or 765 runs over the course of the season. That’s a forty run increase over the actual figure. Sabermetrics considers 10 runs as a win, as a rule of thumb, so rolling out a sabermetric lineup would have won the Dodgers 4 more games than they did in 2016, on average.

Obviously, the Dodgers didn’t need those wins, as they clinched the NL west with ease, but given how close the wild-card races were last season, four wins could be the difference between playing in the playoffs and watching them at home for some teams.