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Using Sabermetrics for Fantasy Baseball: HR/FB

Aaron Judge

In the next part of his 2021 fantasy baseball strategy series, Rick Lucks breaks down how to use HR/FB to evaluate a hitter's expected home run production.

Using BABIP to predict a player's batting average is great. Batting average is a category in many league formats, and every hit is an opportunity to steal a base or score a run. But most fantasy managers find the long ball sexier.

Every HR comes with a guaranteed run scored and at least one RBI. Many managers build their teams around power for this reason. Yet fluky HR campaigns can happen just as easily as fluky batting average ones.

How do we tell the difference between a legitimate breakout and a fluke?

Be sure to check all of our fantasy baseball draft tools and resources:

 

How to Interpret HR/FB

HR/FB measures the percentage of fly balls that leave the park. In 2019, a power-friendly baseball contributed to 15.3% of all fly balls ending up in the seats. Last year that number declined slightly to 14.8%, and rumors are already flying of a deadened ball in 2021. Like BABIP, an experienced player's personal benchmark in the stat is a better indicator of his future performance than the league average.

For example, Cody Bellinger is generally regarded as one of the top sluggers in the game today. His HR/FB was 24.6% in 2019, significantly higher than the league-average rate. If this number regressed to the league average, Bellinger wouldn't be very good. However, he has a career rate of 21.2%. Clearly, above-average power is something Bellinger just does. He should continue to crush bombs with regularity, even taking a down 2020 into consideration (.239/.333/.455 with 12 HR over 243 PAs, 17.4% HR/FB).

Large spikes or dropoffs in HR/FB are generally temporary, meaning that the stat is usually not predictive of a power breakout. Fantasy gamers want to know the next power breakout, so this may be somewhat disappointing. Future power production may be predicted, however, by an increase in fly ball rate, or the percentage of a batter's flies as opposed to liners or grounders. There are limits here, as Billy Hamilton is never helping a fantasy team with his power no matter how many fly balls he hits. Still, FB% is generally the stat you want to look at for power potential.

 

What Is a Good FB%?

Elite sluggers generally post a fly ball percentage of around 40%. Subjected to this test, Bellinger had a 42.4% fly ball rate in 2019, a 40.6 FB% in 2020, and a career mark of 42.6%. These rate stats, combined with a consistently above average HR/FB, make Bellinger a consensus first-round pick.

Bellinger doesn't really illustrate the distinction between HR/FB and FB% because he excels at both. For a more predictive illustration, consider Aaron Judge of the New York Yankees. His HR/FB in 2019 was an unbelievable 35.1%, powering fantasy rosters with a total of 27 long balls despite being limited to 447 PAs. Of course, you know that Judge has the potential for more if you remember his 2017 total of 52 homers.

Judge posted a 35.6% HR/FB in his stunning rookie campaign, virtually unchanged from his rate in 2019. The difference lies in his FB%, which passed the 40% test described above in 2017 (43.2%) but fell well short in 2019 (32.4%). If his FB% remains low, he could disappoint owners expecting 40+ home runs in a full, healthy season. Of course, you could also make the argument that Judge's FB% has fallen because of his injuries, in which case it will rebound as soon as he's truly healthy. He lifted the ball more often in 2020 (40.6% and nine homers in 114 PAs), but injuries again limited him. Do you feel lucky?

Using the discrepancy between a player's HR/FB and FB% is a great way to identify fantasy busts. Reading this column last year would have spared you from investing in Shohei Ohtani and Alex Avila, both of whom failed to reach the Mendoza line with disappointing power numbers. You also would have avoided Fernando Tatis Jr., who did increase his FB% last season (30.9 to 35.4) even if his 29.3% HR/FB still looks unsustainable.

Identifying busts based on 2020 data is trickier due to the short sample, but we'll still take a stab at it. DJ LeMahieu (21.1 FB%, 27% HR/FB), Josh Bell (25.7 FB%, 22.2% HR/FB), Tim Anderson (26.4 FB%, 23.8% HR/FB), and Eloy Jimenez (28.5 FB%, 31.1 HR/FB) stand out to this author as potential busts. We'll see what happens over a full season.

 

Conclusion

HR/FB is considered the BABIP of power because it can be used to evaluate whether a given player is outperforming his true talent level. A player with a large spike or decline in HR/FB should generally be expected to return to his established baseline moving forward. Ballpark factors may alter HR/FB, but in general raw fly ball percentage is a better tool to identify potential power breakouts.

Of course, it is possible for a batter to legitimately change his approach and permanently boost his HR/FB. Statcast allows us to measure precisely how hard a player is hitting the ball, potentially validating a performance that would otherwise be labeled a fluke. Check out some of our other introductory sabermetric articles by clicking on this link!

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