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To this point, this series has focused exclusively on trying to predict and validate HRs and batting average. There is a reason for this--modern sabermetrics tend to 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 stat heads, but fantasy owners frequently see 40 percent 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 an even bigger advantage can be found by looking at a player's slot in the batting order.
Editor's note: Be sure to check out all our strategy articles on how to win your fantasy baseball leagues: Our Sabermetrics series - Part 1: BABIP for Hitters, Part 2: HR/FB%, Part 3: Batted Ball Distribution, Part 4: Plate Discipline, Part 5: Pull%; Points League Primer; Using SIERA to Win Your League; How Your Brain Messes with Your Drafts; and Why You Shouldn't Overpay for Saves.
Editor's Note: Our incredible team of writers received five total writing awards and 13 award nominations by the Fantasy Sports Writers Association, tops in the industry! Congrats to all the award winners and nominees including Best MLB Series, NFL Series, NBA Writer, PGA Writer and Player Notes writer of the year. Be sure to follow their analysis, rankings and advice all year long, and win big with RotoBaller! Read More!
Lineup Slot & Counting Stats
In the table below, each batting order slot's PAs, RBI and Runs are presented from the 2016 season. The final number is simply R + RBI, an approximate measure of that slot's overall value to a fantasy team.
Slot PAs RBI R RBI+R
1ST 22,597 1,996 3,060 5,056
2ND 22,077 2,257 2,926 5,183
3RD 21,529 2,964 2,844 5,808
4TH 21,039 3,052 2,690 5,742
5TH 20,569 2,640 2,450 5,090
6TH 20,053 2,337 2,189 4,526
7TH 19,485 2,015 2,010 4,025
8TH 18,923 1,976 1,903 3,879
9TH 18,303 1,511 1,672 3,183
Each batting order slot loses around 500 PAs compared to the slot before it. If we divide this total by the 30 current MLB clubs, we get a difference of around 17 PAs between consecutive hitters on one team. That may seem insignificant, but it compounds. For example, there is an average of 34 PAs separating a team's leadoff man from the three hitter. Counting stats like Runs and RBI require 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 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 8 and 9-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 134 runs separate the first and second spots while 240 separate fourth and fifth. For this reason, fantasy owners 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 exceed 5,100 combined R+RBI. The leadoff spot is also desirable for its bountiful Runs, while the 5th slot is solid and the others weak. This means that a player in the middle of a weaker offense may 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.
The only counting stat left is stolen bases. A player's success rate must generally hover between 65 and 75 percent to keep the green light, as otherwise he is costing his team runs overall. Players that consistently fail to reach this benchmark, such as Colorado second sacker DJ LeMahieu last season (61 percent), are poor bets to steal a lot even if they've swiped 20 in the past. This is particularity true of contending teams, as weaker clubs may run with reckless abandon just to see what happens.
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. This concludes the offensive portion of learning to use sabermetrics for fantasy purposes. Next time, we'll move to the mound and try to understand what the heck FIP is, and why it sometimes has an x in front of it.
