Eury Pérez

P Miami Marlins

Age 24 RHP 6'8" / 220 lbs MLB Svc 3.0 · Ctrl thru 2029 peak 2.1 · 2029

Overview

MLBSP40-MANArb-1FA 2030

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	MIX2 levels	27	27	128	3.16	3.56	31.4%	7.9%	2.9	K 29.4% · BB 8.1% · FIP 3.91
2025	22	MIX3 levels	28	28	118	3.81	3.47	27.5%	8.8%	2.8	K 26.9% · BB 8.7% · FIP 3.67
2026	23	MIX2 levels	31	30	163	3.87	3.80	26.0%	10.1%	3.1	K 25.8% · BB 10.3% · FIP 3.98
2027PROJ	24	MLBMIA	24	24	132	4.12	4.16	27.5%	9.7%	1.9
2028PROJ95% MLB	25	MLBMIA	21	21	125	4.00	3.98	27.7%	9.2%	2.0
2029PROJ95% MLB	26	MLBMIA	21	21	125	3.98	3.97	27.8%	9.2%	2.0

Last 3 seasons WAR 8.7 · Next 3 projected WAR 5.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service3.657First FA2030

2027Arb-1$4M2028Arb-2$8M2029Arb-3$12M

Skills · percentileStatcast 2026

FB Velo90

K%70

xwOBA vs52

Form6.04 ERA (proj 4.12) · K 21.5% (proj 27.5%) · BB 9.2% (proj 9.7%) ▼ last 60d · 28 IP through Oct 27

CompsYordano Ventura (age 24) · Mike Foltynewicz (age 24) · Jon Gray (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109101vR 93

ERA4.12

FIP4.16

K%27.5%

BB%9.7%

K-BB%17.8%

Proj IP132

Value2027 · WAR

Runs saved vs league avg · 132 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$24M ctrl surplus

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL5050

CMD6060

K†6565

Statcast Percentiles

FB Velo

p9098.2

Whiff%

p7128.6%

p7025.8%

xwOBA vs

p520.310

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Arb-1

MLB Debut 2023

Service 3.657 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$4M	+1.9	$15M	+$11M
2028	Arb-2	$8M	+2.0	$15M	+$8M
2029	Arb-3	$12M	+2.0	$14M	+$4M
Totals		$23M		$44M	+$24M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2021	18	MIX MLE	2 levels	20	20	78	305	108	26	7	100%	3.9	26.5%	10.0%	16.4%	2.9%	1.96	3.70	—
2021	18	MIX RAW	2 levels	20	20	78	305	108	26	7	100%	3.9	35.4%	8.5%	26.9%	2.3%	1.96	2.50	—
2022	19	MIX MLE	2 levels	18	18	77	318	110	25	9	100%	4.3	27.6%	8.8%	18.8%	3.3%	3.97	3.71	—
2022	19	MIX RAW	2 levels	18	18	77	318	110	25	9	100%	4.3	34.6%	7.9%	26.7%	2.8%	3.97	2.74	—
2023	20	MIX MLE	2 levels	27	27	128	516	162	41	20	100%	4.7	29.4%	8.1%	21.3%	4.1%	3.16	3.91	+2.3
2023	20	MIX RAW	2 levels	27	27	128	516	162	41	20	100%	4.7	31.4%	7.9%	23.4%	3.9%	3.16	3.56	+2.9
2025	22	MIX MLE	3 levels	28	28	118	480	132	42	14	100%	4.2	26.9%	8.7%	18.2%	3.2%	3.81	3.67	+2.5
2025	22	MIX MLE	3 levels	28	28	118	480	132	42	14	100%	4.2	26.9%	8.7%	18.2%	3.2%	3.81	3.67	+2.5
2025	22	MIX RAW	3 levels	28	28	118	480	132	42	14	100%	4.2	27.5%	8.8%	18.8%	2.9%	3.81	3.47	+2.8
2026	23	MIX MLE	2 levels	31	30	163	673	175	68	20	97%	5.2	25.8%	10.3%	15.5%	3.2%	3.87	3.98	+2.8
2026	23	MIX MLE	2 levels	31	30	163	673	175	68	20	97%	5.2	25.8%	10.3%	15.5%	3.2%	3.87	3.98	+2.8
2026	23	MIX RAW	2 levels	31	30	163	673	175	68	20	97%	5.2	26.0%	10.1%	15.9%	3.0%	3.87	3.80	+3.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			69	68	346	1419	383	131	47	99%	5.0	27.0%	9.2%	17.8%	3.3%	3.80	3.79	+6.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	MIA	24	24	132	557	153	54	18	100%	5.5	27.5%	9.7%	17.8%	3.2%	4.12	4.16	+1.9
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	MIA	23	23	132	556	154	51	18	100%	5.7	27.7%	9.2%	18.5%	3.2%	4.09	4.07	+2.1
2029	26	MLB MLE	MIA	22	22	132	556	155	51	18	100%	6.0	27.8%	9.2%	18.6%	3.2%	4.07	4.06	+2.1
2030	27	MLB MLE	MIA	17	17	105	443	123	41	14	100%	6.2	27.8%	9.3%	18.5%	3.3%	4.09	4.10	+1.6
2031	28	MLB MLE	MIA	17	17	101	426	118	40	14	100%	5.9	27.7%	9.4%	18.3%	3.4%	4.15	4.18	+1.5
2032	29	MLB MLE	MIA	15	15	91	383	104	37	13	100%	6.0	27.1%	9.6%	17.4%	3.5%	4.27	4.34	+1.1
2033	30	MLB MLE	MIA	13	13	78	327	86	33	12	100%	6.0	26.4%	9.9%	16.4%	3.7%	4.44	4.55	+0.8
2034	31	MLB MLE	MIA	10	10	62	264	68	27	10	100%	6.2	25.6%	10.3%	15.3%	3.9%	4.64	4.78	+0.4
2035	32	MLB MLE	MIA	8	8	47	198	49	21	8	100%	5.8	24.8%	10.7%	14.1%	4.2%	4.88	5.04	+0.2
2036	33	MLB MLE	MIA	5	5	32	136	33	15	6	100%	6.4	24.0%	11.1%	12.8%	4.5%	5.14	5.32	+0.0
2028	25	MLB CTX	MIA	21	21	125	528	146	48	16	100%	6.0	27.7%	9.2%	18.5%	3.1%	4.00	3.98	+2.0
2029	26	MLB CTX	MIA	21	21	125	528	147	48	16	100%	6.0	27.8%	9.2%	18.6%	3.1%	3.98	3.97	+2.0
2030	27	MLB CTX	MIA	17	17	100	422	117	39	13	100%	5.9	27.8%	9.3%	18.5%	3.1%	4.00	4.01	+1.5
2031	28	MLB CTX	MIA	16	16	96	405	112	38	13	100%	6.0	27.7%	9.4%	18.3%	3.2%	4.06	4.09	+1.4
2032	29	MLB CTX	MIA	14	14	86	363	98	35	12	100%	6.1	27.1%	9.6%	17.4%	3.3%	4.17	4.24	+1.1
2033	30	MLB CTX	MIA	12	12	74	312	82	31	11	100%	6.2	26.4%	9.9%	16.4%	3.5%	4.34	4.45	+0.7
2034	31	MLB CTX	MIA	10	10	59	249	64	26	9	100%	5.9	25.6%	10.3%	15.3%	3.7%	4.53	4.67	+0.4
2035	32	MLB CTX	MIA	7	7	44	186	46	20	7	100%	6.3	24.8%	10.7%	14.1%	4.0%	4.77	4.93	+0.2
2036	33	MLB CTX	MIA	5	5	31	131	31	15	6	100%	6.2	24.0%	11.1%	12.8%	4.2%	5.02	5.20	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		193	192	1086	4544	1228	431	151	99%	5.6	27.0%	9.5%	17.5%	3.3%	4.07	3.84	+20.3
/ 200 IP	—	RAW		36	35	200	837	226	79	28	99%	5.6	27.0%	9.5%	17.5%	3.3%	4.07	3.84	+3.7
Career	—	MLE		124	123	564	2292	623	212	77	99%	4.5	27.2%	9.2%	17.9%	3.4%	3.45	3.82	+16.4
/ 200 IP	—	MLE		44	44	200	813	221	75	27	99%	4.5	27.2%	9.2%	17.9%	3.4%	3.45	3.82	+2.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAAJacksonville Jumbo Shrimp · 13 IPFIP 3.42 → 3.81 (+0.39)K% 28.3% → 24.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.30%	—	×0.860	24.34%
BB% (unintentional) /BF	13.21%	—	×0.900	11.89%
HR / BF /BF	1.89%	÷0.903	×1.100	2.30%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 81).

Result: FIP 3.42 → 3.81, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AJupiter Hammerheads · 10 IPFIP 2.90 → 4.02 (+1.12)K% 28.6% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.740	21.14%
BB% (unintentional) /BF	7.14%	—	×1.180	8.43%
HR / BF /BF	2.38%	÷1.035	×1.300	2.99%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 107).

Result: FIP 2.90 → 4.02, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAPensacola Blue Wahoos · 37 IPFIP 2.71 → 3.61 (+0.89)K% 38.0% → 30.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.03%	—	×0.810	30.80%
BB% (unintentional) /BF	7.04%	—	×1.100	7.75%
HR / BF /BF	3.52%	÷1.091	×1.200	3.87%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 118).

Result: FIP 2.71 → 3.61, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAPensacola Blue Wahoos · 75 IPFIP 2.83 → 3.71 (+0.88)K% 34.1% → 27.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.08%	—	×0.810	27.61%
BB% (unintentional) /BF	8.04%	—	×1.100	8.84%
HR / BF /BF	2.89%	÷1.048	×1.200	3.31%

Result: FIP 2.83 → 3.71, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AJupiter Hammerheads · 56 IPFIP 1.67 → 2.93 (+1.25)K% 36.9% → 27.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.94%	—	×0.740	27.33%
BB% (unintentional) /BF	9.46%	—	×1.180	11.16%
HR / BF /BF	0.90%	÷0.891	×1.300	1.31%

Result: FIP 1.67 → 2.93, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 A+Beloit Snappers · 22 IPFIP 4.52 → 5.76 (+1.24)K% 31.3% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.33%	—	×0.770	24.12%
BB% (unintentional) /BF	6.02%	—	×1.150	6.93%
HR / BF /BF	6.02%	÷1.082	×1.250	6.96%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 116).

Result: FIP 4.52 → 5.76, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Eury Pérez (OGILVIE)	—	—	4.16	27.5%	9.7%	3.2%	—	4.07	27.8%	18.6%	368	-0.09	—	—	—
Yordano Ventura R 2015 · 3.44 FIP	24	SP	3.44	22.5%	8.2%	2.2%	.300	4.48	17.6%	8.2%	186	+1.04	3.44	548	68
Mike Foltynewicz R 2016 · 3.97 FIP	24	SP	3.97	21.1%	7.6%	3.1%	.280	3.76	23.0%	14.8%	505	-0.21	3.17	957	66
Jon Gray R 2016 · 3.15 FIP	24	SP	3.15	26.0%	8.0%	2.2%	.299	3.45	24.1%	16.9%	433	+0.30	2.93	1,345	65
Lance McCullers Jr. R 2018 · 3.31 FIP	24	SP	3.31	26.9%	9.5%	2.3%	.272	3.32	26.4%	15.9%	217	+0.01	2.77	861	65
Chad Kuhl R 2017 · 4.03 FIP	24	SP	4.03	20.9%	9.6%	2.7%	.311	4.88	21.9%	11.3%	131	+0.85	3.92	983	64
Chase Dollander R 2024 · 3.11 FIP	22	SP	3.11	26.5%	10.6%	1.7%	.315	4.48	20.5%	9.7%	157	+1.37	3.11	275	64
Josh Beckett R 2004 · 3.47 FIP	24	SP	3.47	23.2%	7.8%	2.5%	.278	3.68	21.5%	14.5%	584	+0.21	2.86	2,051	64
Raisel Iglesias R 2015 · 3.54 FIP	25	SP	3.54	23.7%	7.1%	2.8%	.271	3.11	27.7%	19.6%	226	-0.43	1.34	825	64
Trevor Bauer R 2015 · 4.20 FIP	24	SP	4.20	22.8%	10.5%	3.1%	.273	3.25	25.8%	17.7%	542	-0.95	2.16	1,298	64
Hunter Brown R 2023 · 4.09 FIP	24	SP	4.09	26.8%	8.3%	4.0%	.323	3.34	26.9%	17.9%	463	-0.75	2.77	845	63
Kevin Gausman R 2015 · 3.89 FIP	24	SP-	3.89	22.0%	6.5%	3.3%	.282	4.00	21.3%	14.3%	550	+0.11	2.34	2,103	63
Carson Ragsdale R 2021 · 4.21 FIP	23	SP	4.21	25.0%	10.7%	3.4%	.349	4.27	25.0%	14.6%	148	+0.06	2.00	352	63
Daniel Cabrera R 2005 · 3.83 FIP	24	SP	3.83	21.9%	11.9%	2.0%	.283	4.53	17.4%	5.3%	532	+0.70	3.83	967	62
Luke Weaver R 2018 · 4.35 FIP	24	SP	4.35	19.9%	8.5%	3.4%	.314	3.85	24.1%	18.0%	182	-0.50	2.54	1,043	62
Nick Pivetta R 2017 · 3.99 FIP	24	SP	3.99	24.4%	8.4%	3.5%	.321	3.96	25.6%	17.0%	314	-0.03	2.06	1,597	62
Riley Gowens R 2024 · 4.55 FIP	24	SP	4.55	22.6%	10.3%	3.7%	.279	4.37	21.3%	12.1%	173	-0.18	4.30	295	61
Tommy Hanson R 2011 · 3.76 FIP	24	SP	3.76	26.3%	8.0%	3.4%	.263	4.47	20.0%	11.4%	248	+0.71	3.15	778	61
José Berríos R 2018 · 3.63 FIP	24	SP	3.63	25.3%	7.5%	3.1%	.263	3.45	24.7%	18.2%	455	-0.18	3.06	1,889	61
Zack Wheeler R 2014 · 3.29 FIP	24	SP	3.29	23.6%	9.6%	1.8%	.296	4.75	21.0%	10.9%	86	+1.46	2.28	1,890	61
Kyle Bradish R 2021 · 3.60 FIP	24	SP	3.60	26.4%	10.6%	2.5%	.333	3.30	24.9%	17.2%	345	-0.30	2.20	750	61

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	6.3	97	27.1%	9.5%	1.32	4.13
John Henry Johnson ('78-'87, 6 WAR*)	3.0	75	24.6%*	9.6%*	1.15*	4.15*
Bobby Bolin ('61-'73, 12 WAR*)	7.9	121	22.7%*	9.6%*	1.33*	4.11*
Tom Hall ('68-'77, 7 WAR*)	4.3	95	30.7%*	10.2%*	1.35*	3.95*
Kerry Wood ('12)	6.9	115	27.0%	11.4%	0.97	3.67
Drew Smyly ('24)	5.7	104	23.1%	7.7%	1.49	4.20
Brandon Morrow ('18)	4.3	78	24.0%	10.1%	0.92	3.96