
We have taken you through general terms, then took you through BABIP and the two most important hitting terms: wOBA and wRC+. We plan to go through many more metrics, but only the ones that can help you in fantasy baseball. There are too many that have very specific purposes, but the basis of the SMART system is to create a set of rules so you can shrink the player pool of viable players and select only players who are solid early in drafts and the players with the highest upside at the end of drafts.
What you need to know about xFIP is that it helps you predict what a pitcher should have done based on his skills instead of the luck that often raises or lowers ERA. xFIP can help to identify bounce-back or breakout candidates, or identify overperformers or riskier players to eliminate from consideration.
So let’s get started breaking it down for you.
xFIP stands for Expected Fielding Independent Pitching. The stat shows what a pitcher’s ERA should look like if you strip out all the noise of defense, ballparks, weather and luck as we explained with stats like BABIP. Instead of judging pitchers by runs allowed, xFIP judges them by strikeouts, walks, hit batters, and fly balls. These are the things pitchers control the most.
Early in the season, especially in colder weather cities, pitchers can give up less home runs as the cold and the schedule create more balls not getting out of the ballparks. A pitcher can give up some warning track power shots in April, and suddenly their ERA looks amazing. Other pitchers can play more games in Coors and look like they are ready for the minors. Home runs need to be dismissed when identifying future ERA performance, especially if they now play in a better ballpark as their home park.
xFIP corrects for this by assuming every pitcher has the league average home run per fly ball rate (HR/FB). That way, the stat reflects the quality of contact a pitcher is allowing, not the random outcomes of whether that contact left the yard.
Look, it is important to have a good team ERA. That is one of the statistics that is ALWAYS used in fantasy baseball. If you want to see other ways to identify players who will give you a great ERA, please read How to Draft for ERA in Fantasy Baseball 2026. It helps tell you what has already happened. It is not very good at telling you what is likely to happen next. It depends on the defense behind the pitcher, the ballpark, the bullpen, the scorekeeper, and a lot of random outcomes. In fantasy baseball, you win by predicting future performance. That’s why ERA should not be your primary way of judging pitchers.
When there is a large gap between ERA and xFIP, it usually means the pitcher will get better or worse. He will get better if his xFIP is better than ERA and vice versa.
Here is the process for figuring it out.
If the pitcher has a high ERA but a much lower xFIP, look at the underlying skills (we look at velocity, pitch mix, workload expectations, swinging strike percentage (SwK), strikeout per walk (K-BB%), and first pitch strike percentage (FpK). We will dive into these metrics in the next columns. If those metrics are strong and show that the pitcher is throwing well, he is likely to have better results when he is luckier (BABIP comes back to normal), faces different teams, in different ballparks with different weather.
If a pitcher has a low ERA but a much higher xFIP, it usually means he has been lucky or has played in good conditions against bad teams in pitcher’s parks. In this case, we check the skills-based metrics we referenced above and his BABIP. He is likely to have a low BABIP to show that he has been lucky or played in a good pitcher’s ballpark in cold weather. These are all factors.
It is important not to assume that you will be right about every player because of xFIP being significantly lower than ERA. Simply is not true. Sometimes the growth will come years later, or they lose confidence, and the skills metrics deteriorate. Pitchers are human. Use the SMART System to guide you and add this as one more data point.
Pitchers who strike out hitters and limit walks usually carry strong xFIP numbers even if their ERA looks rough. If you see a young arm with a 4.70 ERA but a 3.60 xFIP, that is a huge signal that improvement is coming. These pitchers often come at a discount because your league mates focus too heavily on ERA.
xFIP works best when you combine it with other things. As we mentioned, when looking at pitchers, you should look at base stats trends to see if a player is locked into an area. Then we look at velocity, pitch mix, workload expectations, swinging strike percentage (SwK), strikeout per walk (K-BB%), and first pitch strike percentage (FpK) to see where we expect a player to head … up or down.
So, look at all those factors to determine how you rank starting pitchers. For relief pitchers, xFIP plays a lesser role as the shifts in ERA among closers are more associated with environment, managerial atmosphere, and injuries. Many MLB players will play through injuries and it shows up with worse performance. That is most prevalent among relief pitchers.
When you are looking for the high upside end game pitchers, xFIP is a way to find a place to start. After identifying xFIP gaps, I love to look at pitch mix and SwK for his pitches. Then determine if the pitcher has added a pitch or is working on one that was not working well. This kind of news on a player can identify breakout pitchers or better those late round or inexpensive contributors that win championships.
Both xFIP and BABIP are great indicators during the season.
We previously taught you how to use BABIP to identify if a pitcher has been lucky. You also need to look at where he has played and against what teams. xFIP can help see through whether that matters, but it cannot be used until a certain number of appearances have been logged. I generally don’t use BABIP or xFIP until the pitcher has logged 10 starts.
The most important thing when streaming pitchers is who they play and where THIS WEEK. xFIP can be a check to see where to order them in your waivers or how much to bid in FABB. Identifying the players should be done FIRST.
As I mentioned in the How to play with OBP article, adding columns to your cheat sheet can be an effective way to identify target players. I add a column, DiffERA, which is for the difference between ERA and xERA, which largely uses xFIP as a component. Then I use that to help me find diamonds in the rough who will be in the middle of the diamond.
More must-reads:
+
Get the latest news and rumors, customized to your favorite sports and teams. Emailed daily. Always free!