r/baseball • u/Swimming-Reindeer-39 New York Mets • 20h ago
Analysis Despite his mechanical changes and surface-level success with the Rays since August 26th, many of Freddy Peralta’s underlying stats remain quite similar to his bad stretch with the Mets.
Disclaimer: No this is not coming from a salty Mets fan despite my flair. I am happy that Freddy is having success, but there are extremely important caveats to that success.
Ever since August 26th, it may seem like Freddy Peralta is one of the best pitchers in baseball if you just look at ERA. However, for all that has been made about Peralta’s latest string of success, it is noteworthy how many of his underlying peripherals have gone effectively unchanged.
Comparing ERA, FIP, xFIP, and SIERA
Freddy Peralta 3/26 to 8/25: 5.33 ERA / 4.66 FIP / 4.36 xFIP / 4.34 SIERA
Freddy Peralta 8/26 to 9/25: 0.79 ERA / 2.78 FIP / 4.44 xFIP / 4.27 SIERA
Freddy Peralta’s Postseason: 0.84 ERA / 3.76 FIP / 4.94 xFIP / 4.43 SIERA
Despite far lower ERAs through the last two periods, Peralta’s FIP doesn’t change as much and his xFIP and SIERA remain virtually identical across all three periods. That is notable, since xFIP and SIERA are stats that claim to account for elements “within pitcher control” that ERA can’t fully capture. If xFIP and SIERA say that Peralta has been the same pitcher for basically the entire year, what is causing them to disagree with ERA so much?
xFIP and SIERA usually try to account for Left on Base %, BABIP against, and Home Run to Fly Ball rate. SIERA more actively tries to take batted ball distribution into account, while xFIP just normalizes HR/FB rate within the normal FIP stat. These peripheral stats try to account for things that may be considered “luck-based” for a pitcher. And when examining these peripheral stats for Peralta, they certainly paint a picture of a pitcher who was getting extraordinarily unlucky before now getting extraordinarily lucky.
More peripheral stats (for outcomes the pitcher doesn’t typically control themselves):
Freddy Peralta 3/26 to 8/25: 67.0% LOB / .311 BABIP / 13.6% HR/FB
Freddy Peralta 8/26 to 9/25: 94.0% LOB / .187 BABIP / 2.2% HR/FB
Freddy Peralta’s Postseason: 100.0% LOB / .207 BABIP / 5.9% HR/FB
Freddy Peralta’s strand rate (LOB%) after August 26th is absurdly high, and is way higher than any qualified pitcher in that timespan by a long shot when the league-average is 72.3%. It isn't uncommon to see ace pitchers maintain high strand rates in a season, but it is still luck-based enough to the extent that fluctuations in small samples can heavily affect ERA.
Maintaining low BABIPs is more controllable, but it is rare for it to hover around or below .200 over a larger sample. It is also more suspect with Peralta given that he has never been much of a groundball pitcher, but improved stuff can definitely still help with this if it decreases hard hit rate. This is also why xERA (which isn't listed here) has improved given worse quality of contact against, even if the batted ball distributions that go into SIERA doubt that it can sustain itself. Improved defense can also help with lower BABIPs.
HR/FB rate usually hovers around 11%, and it is generally not expected for a pitcher to maintain rates that are wildly below or above that mark for an extended period of time. However, small samples can produce low HR/FB rates that paints a more rosy picture of a pitcher’s ability.
tl;dr: Even if Freddy Peralta has improved as a pitcher on the Rays compared to the Mets, that improvement is being heavily obfuscated by stats that indicate that he is getting highly lucky across this specific sample of starts. As a matter of fact, certain peripheral stats don’t actually believe he is a very different pitcher at all. His true pitching ability is somewhere in between his Mets self and his Rays self.
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u/cabose7 New York Yankees 16h ago
Throwing upper 90s since he joined the Rays probably has helped the results
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u/RedRockRiviera 15h ago
iirc his average velo has only changed by ~1 MPH
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u/cabose7 New York Yankees 15h ago
In last night's outing he threw the hardest pitch of his career and had an avg velocity of 96.9 - up from 94.3 in the regular season. He also threw 27 pitches above 97 mph, the most in his career for one game.
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u/brett_baty_is_him 12h ago
It’s pretty common for velo to jump in playoffs. I would treat that as a statistical outlier with an obvious explanation
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u/foomits Tampa Bay Rays 14h ago
this is what i dont understand about this post. not that im disagreeing with the assessment, but legitemately dont understand.
he comes in and we change what pitches he throws and when. he is now pitching only out of the stretch, hes getting longer extension on his plant food and hes throwing harder...
how do we get a completely new outcome and say, well not of that is actually meaningful? or am i just totally not getting it.
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u/LavarBallsLeftNut Los Angeles Dodgers 13h ago
Brewers pitching staff has unlocked 6-8 more inches of extension to Freddy P’s release point. That diff makes his 94-96 mph fastball look like it’s coming in at 98-100mph now.
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u/floyd_mongol New York Mets 17h ago
this is some hardcore cope. why cant you just accept the fact that the rays are a well run organization and the mets are not.
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u/imatthewhitecastle Hot Dog 16h ago
We should just not have team flairs. This post is an interesting observation and it is interesting to neutral fans that his predictive numbers haven’t changed. It shows that the Rays are doing something different with him that isn’t captured by those stats, and I would think that any fan would be curious as to what that is. Yet even with the disclaimer, OP just gets responses like this from people who look at the flair and make assumptions. There isn’t a bitter word in OP’s entire post.
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u/foomits Tampa Bay Rays 14h ago
I'm not smart enough to full understand all the stats.
But (and this has sort of been mentioned ad nauseum), beyond changing his pitch mix, he also is now working out of the stretch and getting 3 inches further extension on his plant foot.
I appreciate there are people who understand these metrics way better than me. but can someone explain so I can understand why a player could make significant changes to their approach, leading to improved outcomes but the underlying metrics would say well.. actually those things didnt matter?
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u/futhatsy Mets Bandwagon • Confirmed Ball 13h ago
I think it's 2 things:
Stats like xFIP and SIERA are not perfect. SIERA in particular is pretty rarely used these days. xFIP treats all balls in play the same and assumes a normal HR/FB rate. I think it's likely that Peralta made tangible changes for the better that just are not being picked up by these stats.
Even if we accept that the mechanical and pitch mix adjustments helped Peralta turn his season around, it's probably not 100% of the reason his ERA went from over 5.00 to under 1.00. Some of this is a regression to the mean in batted ball and sequencing luck.
When some stats say it's all a change in luck, and other stats point to clear improvements, it's probably a combination of the two.
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u/pepperouchau Milwaukee Brewers 15h ago
He’s significantly changed his pitch mix with the Rays as was mentioned on the tv broadcast
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u/RedRockRiviera 15h ago
What a dumb comment. Did you even read the post?
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u/atoms12123 New York Mets 12h ago
Some Mets fans only exist to complain about the team, no matter what.
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u/yumyumapollo Tampa Bay Rays 13h ago
After adjusting Patrick Mahomes' stats, removing outliers to project the future, he heavily regresses to around the level of 2018 Dak.
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u/timeisnownotomorrow 2h ago edited 2h ago
Peralta’s mechanical adjustments completely transformed his real-world results. By abandoning his lowered, sluggish Mets arm slot for a much more vertical delivery and shifting to the extreme third-base side of the rubber, he completely altered his pitch movement. Because traditional stats like FIP, xFIP, and SIERRA rely strictly on rigid league averages, they are completely incapable of accurately measuring Peralta’s actual elite performance since his mechanical changes. Using season-long spreadsheet averages to judge a pitching overhaul is just lazy analysis that fails to account for the reasons for his improved performance.
Back with the Mets (5++ ERA,), he had a flawed delivery with no deception or exrensiony, a flat fastball with no movement, and absolutely no command of his pitches. Since his August 26 transformation with the Rays, he completely upgraded his profile and broke the formulas by using:
• Elite Deception: His new vertical slot combined with a 7-foot extension and angled delivery gives his four-seamer explosive, un-squarable late "rise" at the top of the zone. His fastball's velocity now appears even faster to batters as they have less time to react.
• Tunnelling: He switched to a heavy fastball/changeup mix. Out of his more vertical arm slot pitches now look identical for the first 24 feet before the changeup dives, destroying a hitter's timing.
• Statcast Validation: His xERA-the most accurate stat for measuring a pitcher who is consistently throwing a batters timing off- is 2.12 over those 6 regular-season games, and is at a dominant 2.35 in the postseason. His quality of contact metrics rate in the 95% percentile or above across the board. His opponent hard-hit rate plummeted from 41.3% to 26.8%, with a weak 83.4 MPH average exit velocity.
Go watch the actual tape. He completely choked out the Yankees in the ALDS sweep, then jammed the Guardians in ALCS Game 2 by throwing his fastball 71.7% of the time and registering a carear high 99.4 mph and a game average of 96.9 mph. He locked down Lowe up and in, left Quan totally mistiming balls, and blew a changeup right past Halpin.
Metrics like xFIP and SIERRA just see fly balls and lazily assume luck. Statcast's xERA proves his sub-0.85 ERA is real because his new vertical mechanics induce weak pop-ups. He didn't get lucky; he evolved.
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u/NlNJALONG Springfield Isotopes 19h ago
Yeah this is definitely coming from a content Mets fan who's definitely happy for his close friend Freddy that he's doing so well for his new team.
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u/akaghi New York Mets 18h ago
Mets got a pretty solid return for what was essentially the worst pitcher in baseball at the time.
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u/NuanceManExe New York Mets 15h ago
If Peralta had pitched like Peralta during the first half we would’ve gotten a better return than we got for Holmes, which was an actual great return. It’s also the Rays. They rarely trade the wrong guys. The best trades with the Rays are the cost cutting ones where they’re getting rid of a player just to save money, like Raley, so there’s less opportunity for them to fleece you.
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u/hangout_wangout New York Mets • Grand Junc… 17h ago
I'm a freddy p fan and im stoked for him being in the postseason and doing well.
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u/llOneXll New York Yankees 20h ago
I'm just unsure why the Mets insisted on him pitching from the stretch
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u/TheRegurgitat0r Tampa Bay Devil Rays 19h ago
He’s exclusively pitched from the stretch with the Rays is that what you mean? He pitched from the windup with the Mets.
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u/Clipbored_ New York Mets 14h ago
He actually started the year pitching from the stretch and only tried pitching from the windup when it wasn't working for him. It was the start against the Cubs in June if I remember correctly.
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u/vaporgaze2006 Toronto Blue Jays 20h ago
They mentioned that on the broadcast last night.
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u/llOneXll New York Yankees 20h ago
Oh mb. I usually watch with the audio low. I guess its obvious in retrospect
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20h ago
[removed] — view removed comment
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u/mysterysackerfice Los Angeles Angels • Dumpster Fire 20h ago
I know for a fact that last month he said "And now for my next trick, I will strand 94% of baserunners....TADA!"
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u/Onitsukaryu Los Angeles Angels • Cleveland Guardians 19h ago
^bot regurgitating text from the post.
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u/mtportales Los Angeles Dodgers 20h ago edited 10h ago
He went from a team with -22 OAA to one with 6 OAA. The Mets specifically had -6 FRV when he was on the mound. The rays have given him +7 FRV in significantly fewer innings pitched. That explains a significant amount of the difference in performance.
Peralta was a poor fit on the Mets and is a perfect match for the rays.