Rethinking Modern Baseball Lineup Construction: Do Platoons Actually Work?
What 540 MLB lineups say about modern strategy.
Baseball lineup construction seems simple on the surface – just order your players from best to worst. But in the modern game, there is so much more nuance that goes into building the optimal lineup, and it’s all driven by analytics. One of the most important modern trends in lineups is platooning: splitting playing time between hitters based on matchups, often determined by pitcher handedness. In theory, this allows teams to maximize offensive output by consistently creating platoon advantages. But how much does this actually matter?
To explore this question, I analyzed 540 early-season lineups in order to evaluate whether platoon-heavy constructions outperform more balanced ones – and whether the answer changes depending on pitcher quality.
For simplicity, I defined a platoon as any batter who hits from the opposite side of the plate than the pitcher throws, as pitchers traditionally fair better in same-side matchups. I defined a lineup as “platoon heavy” if at least six of the nine batters are platoons, “balanced” if four or five are platoons, and “neither” if three or less are platoons. This does ignore some nuance, as certain hitters and pitchers have reverse splits due to their mechanics or profiles, but with a sample this large, there is still enough information to draw meaningful conclusions. The below tables summarize my findings, followed by a discussion of what it means. I divided starting pitchers into three broad tiers: good, average, and bad – determined by their past performance and early 2026 outlook. This allows us to determine what type of lineups work best against different caliber pitchers. The metric “average runs above team average” is the average runs a team scores relative to their average. This allows us to glean more specifics about what lineups are beating expectations regardless of individual team caliber.
Table 1: overall trends
Lineup type
Runs above average
Platoon
-0.07
Balanced
-0.06
Neither
0.25
Platoon-heavy and balanced lineups perform almost identically leaguewide. The “neither” category stands out, but the sample is small and limited to a handful of teams with unusually right-handed laden lineups.
Table 2: lineup type vs. pitcher tier
Good
Average
Bad
Platoon
-0.64
-0.13
1.01
Balanced
-0.31
-0.30
0.63
Neither
-2.55
0.24
1.57
This is where things get interesting. Balanced lineups produce 0.3 more runs above average than platoon lineups against good pitchers, but platoon lineups fair better against average pitching (0.17 RAA) and bad pitching (0.38 RAA). For reference, the gap between the highest scoring and tenth highest scoring offenses in baseball as of this writing is only 0.2 runs per game. These differences are meaningful.
Table 3: optimal number of platoons vs. each pitcher type
Pitcher tier
Optimal # of platoons
Runs above average
Good
5
0.38
Average
7
0.43
Bad
7
1.71
Platooning (if your personnel allows) clearly seems to be the correct strategy against average or below-average pitching, but a more balanced approach against good pitching could create a subtle but meaningful advantage. Interestingly, over half of lineups against high-quality starters are platoon heavy, indicating that platooning has become overrated in these matchups. In other words, optimal lineup construction isn’t just about maximizing advantages – it’s about applying them in the right situations.
In the future, this model could be improved by accounting for reverse splits, bullpen matchups, and more. It would also be interesting to study the optimal order of the lineup – where the best hitters should be placed, and how often you should rotate left and right-handed batters in both balanced and platooned lineups. But even in its current form, the data points toward a key insight: The best teams may not be the ones that platoon the most — but the ones that platoon the smartest.