Sammy Peralta

P Salt Lake Bees

Age 29 LHP 6'1" / 214 lbs AAA

Overview

AAARP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	47	0	66	4.52	4.11	22.5%	10.6%	0.3	K 19.9% · BB 9.8% · FIP 4.29
2025	27	MIX2 levels	29	7	81	4.76	3.25	22.7%	5.0%	1.3	K 19.9% · BB 4.5% · FIP 3.60
2026	28	MIX2 levels	55	4	74	6.72	3.66	20.1%	5.9%	0.8	K 18.2% · BB 5.6% · FIP 3.79
2027PROJ	29	MLBLAA	57	0	60	4.99	4.86	14.7%	7.9%	-0.2
2028PROJ86% MLB	30	MLBLAA	30	0	31	4.98	5.01	14.8%	8.3%	-0.2
2029PROJ89% MLB	31	MLBLAA	17	0	18	5.08	5.19	14.7%	8.7%	-0.1

Last 3 seasons WAR 2.4 · Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%38

FB Velo10

xwOBA vs10

Form7.11 ERA (proj 4.99) · K 14.3% (proj 14.7%) · BB 9.5% (proj 7.9%) · last 60d · 13 IP through Oct 27

CompsChad Zerbe (age 29) · Tyler Olson (age 29) · Colt Hynes (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109117vR 125

ERA4.99

FIP4.86

K%14.7%

BB%7.9%

K-BB%6.8%

Proj IP73

Value2027 · WAR

Runs saved vs league avg · 73 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL4040

CMD3030

K†3030

Statcast Percentiles

FB Velo

p1088.4

Whiff%

p1119.8%

p3820.5%

xwOBA vs

p100.368

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)
2019	21	ROK MLE	ACL White Sox	4	0	6	25	13	2	0	0%	1.6	52.0%	8.0%	44.0%	0.0%	0.00	-0.28	—
2019	21	ROK RAW	ACL White Sox	4	0	6	25	13	2	0	0%	1.6	52.0%	8.0%	44.0%	0.0%	0.00	-0.06	—
2021	23	MIX MLE	2 levels	31	0	55	244	68	16	4	0%	1.8	20.9%	7.7%	13.2%	2.3%	4.07	3.56	—
2021	23	MIX RAW	2 levels	31	0	55	244	68	16	4	0%	1.8	27.9%	6.6%	21.3%	1.6%	4.07	2.45	—
2022	24	MIX MLE	2 levels	34	0	62	260	76	22	6	0%	1.8	23.7%	9.0%	14.7%	2.4%	3.77	3.58	—
2022	24	MIX RAW	2 levels	34	0	62	260	76	22	6	0%	1.8	29.2%	8.5%	20.8%	2.3%	3.77	2.97	—
2023	25	MIX MLE	2 levels	45	6	89	385	86	30	11	13%	2.0	19.9%	7.3%	12.6%	2.7%	4.85	3.85	+0.7
2023	25	MIX RAW	2 levels	45	6	89	385	86	30	11	13%	2.0	22.3%	7.8%	14.5%	2.9%	4.85	3.79	+0.8
2024	26	MIX MLE	2 levels	47	0	66	284	64	30	8	0%	1.4	19.9%	9.8%	10.2%	3.0%	4.52	4.29	+0.2
2024	26	MIX MLE	2 levels	47	0	66	284	64	30	8	0%	1.4	19.9%	9.8%	10.2%	3.0%	4.52	4.29	+0.2
2024	26	MIX RAW	2 levels	47	0	66	284	64	30	8	0%	1.4	22.5%	10.6%	12.0%	2.8%	4.52	4.11	+0.3
2025	27	MIX MLE	2 levels	29	7	81	343	78	17	9	24%	2.8	19.9%	4.5%	15.3%	2.9%	4.76	3.60	+0.9
2025	27	MIX MLE	2 levels	29	7	81	343	78	17	9	24%	2.8	19.9%	4.5%	15.3%	2.9%	4.76	3.60	+0.9
2025	27	MIX RAW	2 levels	29	7	81	343	78	17	9	24%	2.8	22.7%	5.0%	17.8%	2.6%	4.76	3.25	+1.3
2026	28	MIX MLE	2 levels	55	4	74	339	68	20	9	7%	1.3	18.2%	5.6%	12.6%	2.8%	6.72	3.79	+0.7
2026	28	MIX MLE	2 levels	55	4	74	339	68	20	9	7%	1.3	18.2%	5.6%	12.6%	2.8%	6.72	3.79	+0.7
2026	28	MIX RAW	2 levels	55	4	74	339	68	20	9	7%	1.3	20.1%	5.9%	14.2%	2.7%	6.72	3.66	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			46	1	69	326	60	30	8	2%	1.5	18.4%	9.2%	9.2%	2.5%	5.64	4.18	+0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	LAA	57	0	60	253	37	20	7	0%	1.1	14.7%	7.9%	6.8%	2.9%	4.99	4.86	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	LAA	35	0	36	153	23	13	5	0%	1.0	14.8%	8.3%	6.5%	3.1%	4.98	5.01	-0.2
2029	31	MLB MLE	LAA	20	0	20	87	13	8	3	0%	1.0	14.7%	8.7%	6.0%	3.4%	5.08	5.19	-0.1
2028	30	MLB CTX	LAA	30	0	31	131	19	11	4	0%	1.0	14.8%	8.3%	6.5%	3.1%	4.98	5.01	-0.2
2029	31	MLB CTX	LAA	17	0	18	76	11	7	3	0%	1.1	14.7%	8.7%	6.0%	3.4%	5.08	5.19	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		93	1	118	534	91	48	15	1%	1.3	17.0%	8.9%	8.1%	2.8%	5.38	4.31	+0.3
/ 200 IP	—	RAW		158	2	200	906	154	81	25	1%	1.3	17.0%	8.9%	8.1%	2.8%	5.38	4.31	+0.6
Career	—	MLE		245	17	433	1880	389	134	50	7%	1.8	20.7%	7.2%	13.5%	2.7%	4.78	3.73	-0.0
/ 200 IP	—	MLE		113	8	200	868	179	62	23	7%	1.8	20.7%	7.2%	13.5%	2.7%	4.78	3.73	-0.1

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 AAASalt Lake Bees · 51 IPFIP 3.25 → 3.54 (+0.29)K% 19.8% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.82%	—	×0.860	17.05%
BB% (unintentional) /BF	4.85%	—	×0.900	4.36%
HR / BF /BF	2.20%	÷1.000	×1.100	2.42%

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 3.25 → 3.54, 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 AAASalt Lake Bees · 71 IPFIP 3.38 → 3.79 (+0.41)K% 24.1% → 20.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.05%	—	×0.860	20.69%
BB% (unintentional) /BF	4.81%	—	×0.900	4.33%
HR / BF /BF	3.09%	÷0.989	×1.100	3.44%

Result: FIP 3.38 → 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).

2024 AAACharlotte Knights · 51 IPFIP 3.92 → 4.20 (+0.29)K% 25.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.860	21.50%
BB% (unintentional) /BF	10.85%	—	×0.900	9.76%
HR / BF /BF	2.83%	÷1.016	×1.100	3.06%

Result: FIP 3.92 → 4.20, 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 AAACharlotte Knights · 69 IPFIP 3.64 → 3.76 (+0.11)K% 23.1% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.05%	—	×0.860	19.82%
BB% (unintentional) /BF	6.44%	—	×0.900	5.80%
HR / BF /BF	3.05%	÷1.152	×1.100	2.91%

Result: FIP 3.64 → 3.76, 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).

2022 AABirmingham Barons · 56 IPFIP 2.85 → 3.58 (+0.73)K% 29.3% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.31%	—	×0.810	23.74%
BB% (unintentional) /BF	8.19%	—	×1.100	9.01%
HR / BF /BF	2.16%	÷1.056	×1.200	2.45%

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 111).

Result: FIP 2.85 → 3.58, 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 AAACharlotte Knights · 6 IPFIP 4.00 → 3.92 (−0.09)K% 28.6% → 25.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.880	25.14%
BB% (unintentional) /BF	10.71%	—	×1.050	11.25%
HR / BF /BF	3.57%	÷1.421	×1.100	2.76%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 184).

Result: FIP 4.00 → 3.92, 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 AKannapolis Cannon Ballers · 35 IPFIP 2.47 → 3.77 (+1.30)K% 31.6% → 23.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.61%	—	×0.740	23.39%
BB% (unintentional) /BF	7.74%	—	×1.180	9.14%
HR / BF /BF	1.94%	÷0.925	×1.300	2.72%

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 85).

Result: FIP 2.47 → 3.77, 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).

2021 A+Winston-Salem Dash · 21 IPFIP 2.48 → 3.17 (+0.69)K% 21.3% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.35%	—	×0.770	16.44%
BB% (unintentional) /BF	4.49%	—	×1.150	5.17%
HR / BF /BF	1.12%	÷0.956	×1.250	1.47%

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 91).

Result: FIP 2.48 → 3.17, 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
Sammy Peralta (OGILVIE)	—	—	4.86	14.7%	7.9%	2.9%	—	5.07	14.8%	6.3%	57	+0.21	—	—	—
Chad Zerbe L 2001 · 3.75 FIP	29	SU	3.75	13.6%	6.2%	1.8%	.299	3.88	9.4%	2.6%	106	+0.13	3.75	145	70
Tyler Olson L 2019 · 3.86 FIP	29	SU	3.86	20.0%	10.0%	2.1%	.326	3.96	21.6%	12.9%	31	+0.10	3.15	263	69
Colt Hynes L 2013 · 4.76 FIP	28	SU	4.76	15.5%	8.3%	3.5%	.361	3.49	19.3%	12.8%	96	-1.27	3.42	169	67
Doug Slaten L 2008 · 4.56 FIP	28	SU	4.56	13.6%	8.8%	2.7%	.264	3.63	19.2%	10.2%	57	-0.93	3.22	139	67
Jose Meraz L 2017 · 4.34 FIP	29	SU	4.34	16.4%	10.3%	2.4%	.282	3.80	10.5%	-2.0%	30	-0.54	3.78	110	66
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	66
Jeremy Bleich L 2016 · 4.35 FIP	29	SU	4.35	10.1%	7.8%	2.1%	.333	3.64	19.1%	13.1%	146	-0.71	3.20	241	66
Buddy Boshers L 2017 · 4.56 FIP	29	SU	4.56	18.9%	8.0%	3.7%	.300	3.47	24.1%	15.6%	112	-1.09	2.76	239	66
Tom Martin L 2000 · 4.16 FIP	30	SU	4.16	14.7%	9.1%	2.1%	.274	4.29	21.8%	12.3%	68	+0.12	3.40	303	66
Josh Osich L 2018 · 3.73 FIP	29	SU	3.73	17.3%	9.5%	1.6%	.377	5.05	22.2%	15.9%	115	+1.32	3.41	315	65
Tyler Webb L 2019 · 4.28 FIP	29	SU	4.28	21.7%	9.0%	3.4%	.178	4.75	22.1%	8.2%	60	+0.47	3.10	337	64
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	64
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	64
Cesar Jimenez L 2014 · 4.21 FIP	29	SU	4.21	12.3%	10.8%	1.4%	.265	3.73	18.0%	10.3%	80	-0.48	3.49	148	63
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	63
Kraig Sitton L 2017 · 3.87 FIP	29	SU	3.87	14.7%	6.1%	2.2%	.312	—	—	—	—	—	2.81	166	63
Keith Hessler L 2018 · 4.96 FIP	29	SU	4.96	19.8%	13.3%	3.4%	.348	—	—	—	—	—	3.31	228	63
Erasmo Ramirez L 2005 · 4.68 FIP	29	SU	4.68	6.2%	3.1%	3.1%	.250	—	—	—	—	—	3.59	108	63
Javier López L 2006 · 4.20 FIP	29	SU	4.20	15.9%	13.0%	1.5%	.250	4.02	14.4%	3.8%	112	-0.18	2.08	533	63
Darin Downs L 2014 · 3.78 FIP	29	SU	3.78	18.2%	11.5%	1.4%	.255	4.06	12.9%	8.7%	16	+0.28	2.83	107	63

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	1.0	40	16.1%	8.9%	1.10	5.22
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Vic Darensbourg ('05)	1.5	50	17.0%	9.3%	1.01	4.96
Jeff Manship ('16)	1.1	32	16.5%	9.3%	1.05	4.82
Joe Grzenda ('61-'72, 0 WAR*)	1.5	51	17.2%*	8.6%*	0.76*	4.83*
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*
Tom Dukes ('67-'72, -2 WAR*)	1.1	43	22.7%*	8.7%*	1.16*	5.37*