Adilson Peralta

P Jersey Shore BlueClaws

Age 24 RHP 6'4" / 175 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	ROKPHI	16	0	32	4.26	3.45	30.8%	14.0%	—	K 20.9% · BB 17.5% · FIP 5.29
2025	22	MIX2 levels	29	1	52	3.61	3.64	21.9%	12.9%	—	K 16.1% · BB 15.6% · FIP 4.61
2026	23	A+PHI	28	0	32	6.47	4.69	29.8%	13.9%	—	K 22.9% · BB 16.0% · FIP 5.91
2027PROJ	24	MLBPHI	—	—	0	5.86	5.86	19.1%	17.9%	—
2028PROJ43% MLB	25	MLBPHI	17	0	18	5.60	5.53	19.9%	15.9%	-0.2
2029PROJ66% MLB	26	MLBPHI	23	0	24	5.45	5.41	20.3%	15.4%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control30Command30

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsBrett Lockwood (age 24) · Taylor Floyd (age 24) · Jacob Morris (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 144136vR 128

ERA5.86

FIP5.86

K%19.1%

BB%17.9%

K-BB%1.1%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL3030

CMD3030

K†4550

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)
2022	19	ROK MLE	DSL Phillies Red	7	6	22	103	18	11	0	86%	3.1	11.9%	13.3%	-1.5%	0.0%	7.06	3.79	—
2022	19	ROK RAW	DSL Phillies Red	7	6	22	103	18	11	0	86%	3.1	17.5%	10.7%	6.8%	0.0%	7.06	2.96	—
2023	20	ROK MLE	DSL Phillies Red	11	10	44	196	44	20	1	91%	4.0	15.3%	12.8%	2.5%	0.7%	3.25	3.80	—
2023	20	ROK RAW	DSL Phillies Red	11	10	44	196	44	20	1	91%	4.0	22.4%	10.2%	12.2%	0.5%	3.25	2.76	—
2024	21	ROK MLE	FCL Phillies	16	0	32	143	44	20	3	0%	2.0	20.9%	17.5%	3.4%	3.2%	4.26	5.29	—
2024	21	ROK MLE	FCL Phillies	16	0	32	143	44	20	3	0%	2.0	20.9%	17.5%	3.4%	3.2%	4.26	5.29	—
2024	21	ROK RAW	FCL Phillies	16	0	32	143	44	20	3	0%	2.0	30.8%	14.0%	16.8%	2.1%	4.26	3.45	—
2025	22	MIX MLE	2 levels	29	1	52	224	49	29	3	3%	1.8	16.1%	15.6%	0.6%	1.6%	3.61	4.61	—
2025	22	MIX MLE	2 levels	29	1	52	224	49	29	3	3%	1.8	16.1%	15.6%	0.6%	1.6%	3.61	4.61	—
2025	22	MIX RAW	2 levels	29	1	52	224	49	29	3	3%	1.8	21.9%	12.9%	8.9%	1.3%	3.61	3.64	—
2026	23	A+ MLE	Jersey Shore BlueClaws	28	0	32	151	45	21	6	0%	1.1	22.9%	16.0%	7.0%	5.0%	6.47	5.91	—
2026	23	A+ MLE	Jersey Shore BlueClaws	28	0	32	151	45	21	6	0%	1.1	22.9%	16.0%	7.0%	5.0%	6.47	5.91	—
2026	23	A+ RAW	Jersey Shore BlueClaws	28	0	32	151	45	21	6	0%	1.1	29.8%	13.9%	15.9%	4.0%	6.47	4.69	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	PHI	—	—	0	—	—	—	—	—	—	19.1%	17.9%	1.1%	3.1%	5.86	5.86	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	PHI	39	0	41	174	34	28	5	0%	1.1	19.9%	15.9%	4.0%	3.1%	5.60	5.53	-0.4
2029	26	MLB MLE	PHI	34	0	36	152	31	23	5	0%	1.1	20.3%	15.4%	5.0%	3.1%	5.45	5.41	-0.3
2028	25	MLB CTX	PHI	17	0	18	76	15	12	2	0%	1.1	19.9%	15.9%	4.0%	3.1%	5.60	5.53	-0.2
2029	26	MLB CTX	PHI	23	0	24	101	21	16	3	0%	1.0	20.3%	15.4%	5.0%	3.1%	5.45	5.41	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		40	0	42	175	35	27	5	0%	1.0	20.1%	15.6%	4.5%	3.1%	5.51	5.08	-0.3
/ 200 IP	—	RAW		190	0	200	844	169	130	24	0%	1.1	20.1%	15.6%	4.5%	3.1%	5.51	5.08	-1.2
Career	—	MLE		91	17	182	817	143	123	17	19%	2.0	17.5%	15.0%	2.5%	2.1%	4.55	4.67	-0.8
/ 200 IP	—	MLE		100	19	200	898	157	135	19	19%	2.0	17.5%	15.0%	2.5%	2.1%	4.55	4.67	-2.1

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 A+Jersey Shore BlueClaws · 32 IPFIP 4.53 → 5.91 (+1.39)K% 29.8% → 22.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.80%	—	×0.770	22.95%
BB% (unintentional) /BF	13.91%	—	×1.150	15.99%
HR / BF /BF	3.97%	÷1.000	×1.250	4.97%

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 100).

Result: FIP 4.53 → 5.91, 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 AClearwater Threshers · 51 IPFIP 3.68 → 4.61 (+0.93)K% 21.8% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.82%	—	×0.740	16.15%
BB% (unintentional) /BF	13.18%	—	×1.180	15.55%
HR / BF /BF	1.36%	÷1.083	×1.300	1.64%

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 117).

Result: FIP 3.68 → 4.61, 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).

2024 ROKFCL Phillies · 32 IPFIP 3.42 → 5.29 (+1.87)K% 30.8% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.680	20.92%
BB% (unintentional) /BF	13.99%	—	×1.250	17.48%
HR / BF /BF	2.10%	÷0.924	×1.400	3.18%

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 85).

Result: FIP 3.42 → 5.29, 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 ROKDSL Phillies Red · 44 IPFIP 2.78 → 3.80 (+1.02)K% 22.4% → 15.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.45%	—	×0.680	15.27%
BB% (unintentional) /BF	10.20%	—	×1.250	12.76%
HR / BF /BF	0.51%	÷1.046	×1.400	0.68%

Result: FIP 2.78 → 3.80, 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 ROKDSL Phillies Red · 22 IPFIP 2.98 → 3.79 (+0.81)K% 17.5% → 11.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.48%	—	×0.680	11.88%
BB% (unintentional) /BF	10.68%	—	×1.250	13.35%
HR / BF /BF	0.00%	÷1.187	×1.400	0.00%

Result: FIP 2.98 → 3.79, 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
Adilson Peralta (OGILVIE)	—	—	5.86	19.1%	17.9%	3.1%	—	5.47	20.1%	4.4%	77	-0.39	—	—	—
Brett Lockwood R 2021 · 5.46 FIP	24	SU	5.46	16.2%	15.5%	3.2%	.312	4.58	11.0%	-6.3%	79	-0.88	4.24	132	85
Taylor Floyd R 2022 · 4.84 FIP	24	SU	4.84	19.6%	18.4%	1.9%	.305	4.30	19.8%	10.2%	184	-0.54	3.48	359	83
Jacob Morris R 2015 · 5.43 FIP	24	SU	5.43	18.0%	19.6%	2.5%	.218	4.77	18.7%	-2.4%	46	-0.66	4.77	102	83
Ryan Sublette R 2023 · 5.72 FIP	24	SU	5.72	21.4%	22.3%	2.9%	.278	5.06	19.2%	3.8%	102	-0.66	3.74	203	83
Cody Scroggins R 2021 · 5.35 FIP	24	SU	5.35	17.4%	15.1%	3.3%	.263	4.28	18.6%	4.4%	59	-1.07	3.78	108	83
Jeff Soptic R 2015 · 5.30 FIP	24	SU	5.30	15.5%	17.2%	2.5%	.237	5.52	13.6%	-1.7%	68	+0.22	5.30	124	83
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	82
Everhett Hazelwood R 2023 · 5.70 FIP	24	SU	5.70	19.0%	15.4%	4.1%	.343	9.36	17.5%	0.6%	14	+3.66	5.23	117	82
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	82
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	82
Hunter Parsons R 2021 · 5.38 FIP	24	SU	5.38	21.4%	15.3%	3.9%	.247	4.78	21.8%	10.2%	115	-0.60	4.73	183	82
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	82
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	82
Yoel Espinal R 2017 · 5.37 FIP	24	SU	5.37	21.4%	23.1%	2.1%	.255	4.24	22.9%	10.0%	99	-1.13	3.86	231	81
Tanner Duncan R 2019 · 5.37 FIP	24	SU	5.37	17.5%	14.8%	3.4%	.301	—	—	—	—	—	3.28	123	81
Sal Biasi R 2019 · 5.22 FIP	23	SU	5.22	20.1%	15.8%	3.3%	.295	7.66	15.3%	-0.2%	23	+2.44	4.68	188	81
Jonathan Teaney R 2019 · 5.65 FIP	23	SU	5.65	16.4%	15.7%	3.5%	.301	—	—	—	—	—	4.77	108	81
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	81
Austin Glorius R 2017 · 6.09 FIP	24	SU	6.09	18.7%	21.0%	3.5%	.312	—	—	—	—	—	3.92	141	80
Tommy DeJuneas R 2019 · 5.15 FIP	23	SU	5.15	20.8%	18.8%	2.6%	.324	5.65	13.7%	-3.9%	51	+0.50	3.93	178	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	0.7	45	19.6%	16.6%	1.21	5.67
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*