You may be wondering why there aren't any advanced stats aimed at predicting a player's counting stats like runs and RBI. The answer is simple: modern sabermetrics reject the idea of a "clutch RBI guy" and therefore do not bother inventing predictive metrics for it. Runs and RBI are team-dependent stats and are unhelpful in ascertaining a given player's real value.
That might work for statheads, but fantasy owners frequently see 40% or more of a player's value tied to his RBI and run totals. We have to care about them. Drafting hitters from strong offenses can help pad the totals, but as you'll see, an even bigger advantage can be found by looking at a player's slot in the batting order.
Don't believe it? St. Louis Cardinals outfielder Tyler O'Neill smacked 34 HR with a triple-slash line of .286/.352/.560 last year but finished with only 80 RBI due to hitting fifth or below for 220 of his 537 PA. Here is a closer look at how to analyze a batter's lineup slot for fantasy purposes.
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Lineup Slot & Counting Stats
In the table below, each batting order slot's PA, Runs, and RBI are presented from the 2021 season. The final number is simply R + RBI, an approximate measure of that slot's overall value to a fantasy team.
Slot | PA | R | RBI | RBI+R |
1st | 22,309 | 3,199 | 2,217 | 5,416 |
2nd | 21,768 | 3,046 | 2,465 | 5,511 |
3rd | 21,219 | 2,924 | 2,862 | 5,786 |
4th | 20,721 | 2,573 | 3,009 | 5,582 |
5th | 20,224 | 2,343 | 2,614 | 4,957 |
6th | 19,728 | 2,148 | 2,343 | 4,491 |
7th | 19,185 | 2,055 | 2,093 | 4,148 |
8th | 18,626 | 2,016 | 2,868 | 3,884 |
9th | 18,035 | 1,706 | 1,522 | 3,228 |
Each batting order slot loses around 500 PA compared to the slot before it. If we divide this total by the 30 current MLB clubs, we get a difference of around 17 PA between consecutive hitters on one team. That may seem insignificant, but it compounds. For example, there is an average of 34 PA separating a team's leadoff man from the three-hitter. Counting stats like Runs and RBI require an opportunity to accumulate, and hitters earlier in the batting order have more opportunity. Bear this in mind when comparing similarly skilled players on draft day.
RBI are highest from the cleanup spot, and trend downward in both directions from there. Leadoff hitters only get more RBI than the seventh, eighth, and ninth spots despite the largest PA total. This is because they never have runners on base before their first PA of the game, and need to rely on the weaker eighth and ninth hitters to get on in front of them after that. Since good hitters are usually clustered early in the order to maximize their PAs, leadoff men get minimal help from their teammates in producing RBI.
Runs peak at the leadoff slot and decrease from there. This decrease is not linear, as only 122 runs separate the second and third spots while 351 separate third and fourth. For this reason, fantasy managers want to stick to the early batting order slots where teams cluster their best hitters if possible. Leadoff guys have the most opportunity and the team's best hitters hitting behind them, so they score a lot of runs for the same reason they do not register many RBI.
Finally, the R+RBI column refutes the idea that a team's heart of the order is 3-4-5. It is actually 2-3-4, the only lineup slots to eclipse 5,000 combined R+RBI. The first slot is great for runs scored, and the fifth spot offers a respectable 4,957 R+RBI. After that, production falls off a cliff even among strong offenses. This means that a player in the middle of a weaker offense is likely to outproduce a player on the periphery of a stronger one. Platoons, injuries, and lineup shuffling can change these numbers, but in general, the earlier the slot, the better for fantasy purposes.
Conclusion
To conclude, counting stat production depends on opportunity and team support. Players that bat early in the order tend to get more of both, though leadoff men give up RBI potential for increased runs scored. If you would like to learn more about how to apply sabermetrics within a fantasy context, stay tuned!
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