Sammy Peralta — OGILVIE

Sammy Peralta P Salt Lake Bees

Age 28 LHP 6'1" / 214 lbs AAA

2026 ROS PROJECTION63 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 100108vR 116

ERA4.35

FIP4.37

K%15.8%

BB%8.0%

K-BB%7.8%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 69 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4040

CTRL4040

CMD3030

K†3040

Statcast Percentiles

FB Velo

p1088.7

Whiff%

p3723.4%

p8328.3%

xwOBA vs

p100.378

FB+1.4 (41%)

SI (33%)

CH (10%)

SL-2.1 (49%)

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 industry-standard fWAR.

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 + 2026 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	19.3%	7.3%	12.0%	2.7%	4.85	3.90	+0.7
2023	25	MIX MLE	2 levels	45	6	89	385	86	30	11	13%	2.0	19.3%	7.3%	12.0%	2.7%	4.85	3.90	+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	19.4%	9.8%	9.6%	3.0%	4.52	4.34	+0.2
2024	26	MIX MLE	2 levels	47	0	66	284	64	30	8	0%	1.4	19.4%	9.8%	9.6%	3.0%	4.52	4.34	+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	19.3%	4.5%	14.7%	2.9%	4.76	3.65	+0.9
2025	27	MIX MLE	2 levels	29	7	81	343	78	17	9	24%	2.8	19.3%	4.5%	14.7%	2.9%	4.76	3.65	+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
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			40	1	58	274	54	26	7	2%	1.4	19.7%	9.5%	10.2%	2.6%	5.62	4.16	+0.3
▸ 2026 season
YTD	28	MLB MLE	Los Angeles Angels	49	4	63	287	62	16	8	8%	1.3	18.9%	5.2%	13.7%	2.9%	6.89	3.77	—
YTD	28	MLB MLE	Los Angeles Angels	49	4	63	287	62	16	8	8%	1.3	18.9%	5.2%	13.7%	2.9%	6.89	3.77	—
▸ 2026 season — so far · projected rest · full
2026	28	AAA RAW	LAA	39	3	51	227	45	11	5	8%	1.3	19.8%	4.8%	15.0%	2.2%	6.75	3.25	—
2026	28	MLB RAW	LAA	10	1	12	60	17	5	3	10%	1.2	28.3%	8.3%	20.0%	5.0%	7.50	4.51	+0.0
SO FAR	28	MLB RAW	LAA	10	1	12	60	17	5	3	10%	1.2	28.3%	8.3%	20.0%	5.0%	7.50	4.51	+0.0
ROS	28	MLB MLE	LAA	6	0	6	27	4	2	1	0%	1.1	15.8%	8.0%	7.8%	2.9%	4.35	4.37	+0.0
ROS	28	MLB CTX	LAA	6	0	6	25	4	2	1	0%	1.0	15.8%	8.0%	7.8%	2.9%	4.35	4.37	+0.0
2026 TOT	28	MLB MLE	LAA	—	—	69	314	66	18	9	—	—	21.1%	5.8%	15.3%	2.8%	6.66	3.83	+0.7
FULL	28	MLB A+C	LAA	—	—	18	77	66	18	9	—	—	85.7%	23.5%	62.2%	11.3%	25.10	5.07	+0.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	LAA	68	0	71	300	52	26	10	0%	1.0	17.2%	8.7%	8.5%	3.3%	4.84	4.92	-0.3
2028	30	MLB MLE	LAA	64	0	67	282	48	26	10	0%	1.0	17.0%	9.1%	7.9%	3.4%	4.96	5.08	-0.4
2027	29	MLB CTX	LAA	65	0	68	287	50	25	9	0%	1.0	17.2%	8.7%	8.5%	3.3%	4.84	4.92	-0.3
2028	30	MLB CTX	LAA	60	0	63	266	45	24	9	0%	1.1	17.0%	9.1%	7.9%	3.4%	4.96	5.08	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		171	1	195	854	153	77	26	1%	1.1	17.9%	9.1%	8.9%	3.1%	5.09	4.42	+0.3
/ 200 IP	—	RAW		175	1	200	876	157	79	27	1%	1.1	17.9%	9.1%	8.9%	3.1%	5.09	4.42	+0.3
Career	—	MLE		239	17	422	1828	375	130	49	7%	1.8	20.5%	7.1%	13.4%	2.7%	4.75	3.75	-0.4
/ 200 IP	—	MLE		113	8	200	866	178	62	23	7%	1.8	20.5%	7.1%	13.4%	2.7%	4.75	3.75	-0.4

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)	—	—	4.87	15.0%	8.4%	2.9%	—	5.00	17.1%	8.2%	138	+0.13	—	—	—
Lucas Luetge L 2015 · 5.08 FIP	28	SU	5.08	14.0%	10.4%	3.4%	.299	4.12	20.9%	10.7%	87	-0.96	2.53	430	77
Danny Coulombe L 2018 · 4.36 FIP	28	SU	4.36	23.0%	7.9%	4.0%	.326	3.64	28.3%	21.6%	91	-0.72	2.54	483	70
Nick Ramirez L 2018 · 4.35 FIP	28	SU	4.35	14.3%	11.9%	1.7%	.269	3.81	21.5%	13.4%	162	-0.54	2.93	478	69
James Russell L 2015 · 3.71 FIP	29	SU	3.71	13.5%	4.7%	2.1%	.331	4.20	14.1%	8.7%	111	+0.49	2.66	233	69
Zac Rosscup L 2015 · 4.84 FIP	27	SU	4.84	24.6%	11.0%	4.4%	.296	2.85	29.5%	21.7%	40	-1.99	2.56	160	68
Ross Detwiler L 2015 · 5.50 FIP	29	SW	5.50	14.2%	12.2%	3.8%	.356	4.80	14.1%	5.9%	242	-0.70	3.49	512	68
Donnie Hart L 2019 · 4.29 FIP	28	SU	4.29	14.3%	6.7%	2.8%	.322	—	—	—	—	—	2.38	281	68
Jeff Ibarra L 2016 · 3.75 FIP	28	SU	3.75	17.8%	9.7%	1.7%	.321	3.29	19.2%	13.8%	66	-0.46	2.85	101	66
Wei-Chung Wang L 2019 · 4.93 FIP	27	SU	4.93	16.0%	8.7%	3.8%	.272	—	—	—	—	—	3.44	387	66
Ashur Tolliver L 2016 · 4.19 FIP	28	SU	4.19	21.3%	9.8%	3.0%	.308	5.03	13.8%	-5.1%	35	+0.84	3.49	134	66
Keith Hessler L 2017 · 5.18 FIP	28	SU	5.18	15.5%	11.8%	3.5%	.324	4.96	19.8%	6.5%	53	-0.22	3.31	228	66
Buddy Baumann L 2016 · 3.83 FIP	28	SU	3.83	23.3%	10.8%	2.4%	.268	4.73	23.6%	13.5%	50	+0.90	2.92	155	66
Josh Osich L 2017 · 5.00 FIP	28	SU	5.00	21.4%	12.9%	3.8%	.328	4.47	21.1%	14.1%	143	-0.53	3.41	315	65
Jeremy Horst L 2015 · 4.09 FIP	29	SU	4.09	18.8%	11.2%	2.1%	.291	3.71	15.1%	2.7%	48	-0.38	3.71	108	65
Matt Dermody L 2017 · 4.87 FIP	27	SU	4.87	17.6%	5.2%	4.7%	.294	4.18	19.8%	16.7%	23	-0.69	2.38	348	64
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	64
Jose Meraz L 2016 · 3.78 FIP	28	SU	3.78	14.2%	6.8%	1.8%	.286	4.03	13.0%	1.5%	52	+0.25	3.78	110	64
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	64
Jordan Harrison L 2019 · 3.80 FIP	28	SU	3.80	19.1%	9.7%	2.0%	.311	—	—	—	—	—	3.80	244	64
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	64

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.1	71	16.4%	8.7%	1.23	4.88
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79