Steven Pérez

P Columbus Clippers

Age 26 LHP 5'11" / 206 lbs AAA

Overview

AAAPROSPECT

ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	37	0	56	2.59	3.62	31.1%	11.6%	—	K 23.2% · BB 13.5% · FIP 5.37
2025	24	MIX2 levels	39	0	69	1.83	2.88	26.3%	7.5%	—	K 21.0% · BB 8.3% · FIP 3.71
2026	25	AAACLE	47	1	58	4.78	4.25	24.6%	13.3%	—	K 21.2% · BB 12.0% · FIP 4.48
2027PROJ	26	MLBCLE	7	0	7	4.67	4.67	21.5%	10.8%	-0.0
2028PROJ43% MLB	27	MLBCLE	23	0	24	4.65	4.67	21.7%	10.7%	-0.0
2029PROJ63% MLB	28	MLBCLE	29	0	30	4.69	4.73	21.7%	10.8%	-0.1

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.3 / P90 1.5, comp-based) · star 0% · didn't stick 94%

CompsLuis Perez (age 26) · Colton Johnson (age 26) · Juan Grullon (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 106114vR 122

ERA4.67

FIP4.67

K%21.5%

BB%10.8%

K-BB%10.7%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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)
2018	17	ROK MLE	DSL Indians	8	4	18	82	18	11	1	50%	2.2	14.9%	16.8%	-1.8%	1.7%	2.04	4.90	—
2018	17	ROK RAW	DSL Indians	8	4	18	82	18	11	1	50%	2.2	22.0%	13.4%	8.5%	1.2%	2.04	3.67	—
2019	18	ROK MLE	DSL Indians	14	14	58	241	48	23	2	100%	4.1	13.5%	11.9%	1.6%	1.2%	2.97	4.11	—
2019	18	ROK RAW	DSL Indians	14	14	58	241	48	23	2	100%	4.1	19.9%	9.5%	10.4%	0.8%	2.97	3.08	—
2021	20	ROK MLE	ACL Indians	13	6	39	175	47	16	7	46%	3.0	18.3%	11.4%	6.8%	3.8%	6.52	5.07	—
2021	20	ROK RAW	ACL Indians	13	6	39	175	47	16	7	46%	3.0	26.9%	9.1%	17.7%	4.0%	6.52	4.26	—
2022	21	ROK MLE	ACL Guardians	16	1	30	145	32	16	1	6%	1.9	15.0%	13.8%	1.2%	1.1%	5.04	4.16	—
2022	21	ROK RAW	ACL Guardians	16	1	30	145	32	16	1	6%	1.9	22.1%	11.0%	11.0%	0.7%	5.04	3.00	—
2023	22	ROK MLE	ACL Guardians	17	0	30	144	42	20	2	0%	1.8	19.8%	17.4%	2.5%	1.4%	3.56	4.42	—
2023	22	ROK RAW	ACL Guardians	17	0	30	144	42	20	2	0%	1.8	29.2%	13.9%	15.3%	1.4%	3.56	3.17	—
2024	23	MIX MLE	2 levels	37	0	56	225	70	26	7	0%	1.5	23.2%	13.5%	9.6%	4.6%	2.59	5.37	—
2024	23	MIX MLE	2 levels	37	0	56	225	70	26	7	0%	1.5	23.2%	13.5%	9.6%	4.6%	2.59	5.37	—
2024	23	MIX RAW	2 levels	37	0	56	225	70	26	7	0%	1.5	31.1%	11.6%	19.6%	3.1%	2.59	3.62	—
2025	24	MIX MLE	2 levels	39	0	69	266	70	20	5	0%	1.8	21.0%	8.3%	12.6%	2.4%	1.83	3.71	—
2025	24	MIX MLE	2 levels	39	0	69	266	70	20	5	0%	1.8	21.0%	8.3%	12.6%	2.4%	1.83	3.71	—
2025	24	MIX RAW	2 levels	39	0	69	266	70	20	5	0%	1.8	26.3%	7.5%	18.8%	1.9%	1.83	2.88	—
2026	25	AAA MLE	Columbus Clippers	47	1	58	256	63	34	7	2%	1.2	21.2%	12.0%	9.2%	3.0%	4.78	4.48	—
2026	25	AAA MLE	Columbus Clippers	47	1	58	256	63	34	7	2%	1.2	21.2%	12.0%	9.2%	3.0%	4.78	4.48	—
2026	25	AAA RAW	Columbus Clippers	47	1	58	256	63	34	7	2%	1.2	24.6%	13.3%	11.3%	2.7%	4.78	4.25	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	CLE	7	0	7	30	6	3	1	0%	1.0	21.5%	10.8%	10.7%	3.0%	4.67	4.67	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	CLE	53	0	55	233	51	25	7	0%	1.0	21.7%	10.7%	10.9%	3.0%	4.65	4.67	-0.1
2029	28	MLB MLE	CLE	46	0	48	204	44	22	6	0%	1.1	21.7%	10.8%	10.9%	3.1%	4.69	4.73	-0.1
2030	29	MLB MLE	CLE	41	0	43	183	39	20	6	0%	1.1	21.5%	10.9%	10.6%	3.3%	4.77	4.84	-0.1
2028	27	MLB CTX	CLE	23	0	24	101	22	11	3	0%	1.0	21.7%	10.7%	10.9%	3.0%	4.65	4.67	-0.0
2029	28	MLB CTX	CLE	29	0	30	127	27	14	4	0%	1.0	21.7%	10.8%	10.9%	3.1%	4.69	4.73	-0.1
2030	29	MLB CTX	CLE	30	0	32	135	29	15	4	0%	1.1	21.5%	10.9%	10.6%	3.3%	4.77	4.84	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		81	0	85	360	78	39	11	0%	1.1	21.6%	10.8%	10.8%	3.1%	4.71	4.37	+0.2
/ 200 IP	—	RAW		190	0	200	844	183	91	26	0%	1.1	21.6%	10.8%	10.8%	3.1%	4.71	4.37	+0.4
Career	—	MLE		191	26	358	1534	289	191	39	14%	1.9	18.9%	12.4%	6.4%	2.5%	3.55	4.47	-0.3
/ 200 IP	—	MLE		107	15	200	858	162	107	22	14%	1.9	18.9%	12.4%	6.4%	2.5%	3.55	4.47	-0.4

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.

2026 AAAColumbus Clippers · 58 IPFIP 4.21 → 4.48 (+0.27)K% 24.6% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.61%	—	×0.860	21.16%
BB% (unintentional) /BF	13.28%	—	×0.900	11.95%
HR / BF /BF	2.73%	÷1.000	×1.100	3.01%

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 100).

Result: FIP 4.21 → 4.48, 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 AAAkron RubberDucks · 49 IPFIP 3.23 → 4.06 (+0.83)K% 24.2% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.23%	—	×0.810	19.62%
BB% (unintentional) /BF	8.25%	—	×1.100	9.07%
HR / BF /BF	2.06%	÷0.926	×1.200	2.67%

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 85).

Result: FIP 3.23 → 4.06, 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 A+Lake County Captains · 20 IPFIP 1.87 → 2.77 (+0.91)K% 31.9% → 24.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.94%	—	×0.770	24.60%
BB% (unintentional) /BF	5.56%	—	×1.150	6.39%
HR / BF /BF	1.39%	÷1.011	×1.250	1.72%

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 102).

Result: FIP 1.87 → 2.77, 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).

2024 ALynchburg Hillcats · 41 IPFIP 3.59 → 5.70 (+2.11)K% 35.2% → 26.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.15%	—	×0.740	26.01%
BB% (unintentional) /BF	11.52%	—	×1.180	13.59%
HR / BF /BF	3.64%	÷0.844	×1.300	5.60%

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 69).

Result: FIP 3.59 → 5.70, 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).

2024 A+Lake County Captains · 15 IPFIP 3.80 → 4.46 (+0.66)K% 20.0% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.770	15.40%
BB% (unintentional) /BF	11.67%	—	×1.150	13.42%
HR / BF /BF	1.67%	÷1.190	×1.250	1.75%

Result: FIP 3.80 → 4.46, 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 ROKACL Guardians · 30 IPFIP 3.16 → 4.42 (+1.26)K% 29.2% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.17%	—	×0.680	19.83%
BB% (unintentional) /BF	13.89%	—	×1.250	17.36%
HR / BF /BF	1.39%	÷1.349	×1.400	1.44%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 170).

Result: FIP 3.16 → 4.42, 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 ROKACL Guardians · 30 IPFIP 3.01 → 4.16 (+1.15)K% 22.1% → 15.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.07%	—	×0.680	15.01%
BB% (unintentional) /BF	11.03%	—	×1.250	13.79%
HR / BF /BF	0.69%	÷0.915	×1.400	1.06%

Result: FIP 3.01 → 4.16, 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 ROKACL Indians · 39 IPFIP 4.19 → 5.07 (+0.88)K% 26.9% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.86%	—	×0.680	18.26%
BB% (unintentional) /BF	9.14%	—	×1.250	11.43%
HR / BF /BF	4.00%	÷1.488	×1.400	3.76%

Result: FIP 4.19 → 5.07, 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
Steven Pérez (OGILVIE)	—	—	—	—	—	3.0%	—	4.74	21.6%	10.8%	147	+0.07	—	—	—
Luis Perez L 2011 · 4.35 FIP	26	SU	4.35	18.4%	8.8%	3.1%	.317	3.32	22.3%	13.2%	42	-1.03	3.32	173	89
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	88
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	88
Aaron Fultz L 2000 · 4.00 FIP	26	SU	4.00	20.7%	9.4%	2.7%	.294	3.88	19.4%	12.5%	180	-0.12	3.46	480	87
Michael Johnson L 2017 · 4.20 FIP	26	SU	4.20	21.7%	9.5%	3.1%	.272	5.19	13.4%	3.4%	67	+0.99	3.92	256	86
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	85
Sean Mellen L 2022 · 4.01 FIP	24	SU	4.01	21.3%	10.4%	2.5%	.285	—	—	—	—	—	4.01	101	84
Pedro Feliciano L 2003 · 3.74 FIP	26	SU	3.74	19.7%	8.3%	2.3%	.309	3.52	20.2%	11.1%	79	-0.22	2.69	378	84
Will Gilbert L 2019 · 4.42 FIP	25	SU	4.42	19.9%	10.3%	3.1%	.306	—	—	—	—	—	2.92	141	84
Andrew Magno L 2024 · 4.30 FIP	26	SU	4.30	21.7%	10.4%	3.1%	.341	3.41	21.7%	9.6%	119	-0.89	3.23	328	83
Robby Ahlstrom L 2024 · 3.89 FIP	25	SU	3.89	21.9%	11.6%	2.1%	.294	4.02	20.7%	11.1%	120	+0.13	3.79	332	83
Mitchell Tyranski L 2024 · 4.90 FIP	26	SU	4.90	21.0%	12.3%	3.7%	.234	3.46	20.5%	4.0%	57	-1.44	3.46	145	83
Brad Kuntz L 2018 · 4.10 FIP	26	SU	4.10	20.9%	11.7%	2.4%	.352	—	—	—	—	—	2.35	197	82
Diego Barrera L 2024 · 3.69 FIP	24	SU	3.69	17.9%	9.2%	1.7%	.310	4.55	17.9%	7.4%	89	+0.86	3.66	155	81
Haylen Green L 2023 · 4.09 FIP	25	SU	4.09	18.6%	10.8%	2.2%	.317	—	—	—	—	—	4.02	104	81
Triston Polley L 2023 · 4.15 FIP	26	SU	4.15	17.8%	8.9%	2.6%	.331	4.53	17.4%	-0.3%	22	+0.38	4.15	151	81
James Reeves L 2019 · 3.74 FIP	26	SU	3.74	22.4%	10.3%	2.2%	.226	5.11	27.0%	10.8%	51	+1.37	2.02	280	81
Braulio Lara L 2015 · 3.96 FIP	26	SU	3.96	16.7%	8.7%	2.1%	.367	5.20	18.9%	3.9%	67	+1.24	3.96	118	80
Rob Zastryzny L 2018 · 4.31 FIP	26	SU	4.31	18.4%	11.0%	2.5%	.264	4.81	19.8%	10.8%	142	+0.50	3.31	634	80
Matt Purke L 2016 · 4.25 FIP	26	SU	4.25	19.1%	13.9%	1.8%	.284	3.54	21.4%	8.8%	112	-0.71	3.01	226	80

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.1	54	21.6%	10.8%	1.19	4.69
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*