Wily Peralta — OGILVIE

Wily Peralta P Indianapolis Indians

Age 37 RHP 6'1" / 261 lbs AAA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 120112vR 103

ERA4.79

FIP4.73

K%20.9%

BB%9.4%

K-BB%11.4%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†5050

Statcast Percentiles

FB Velo

p6295.4

Whiff%

p2121.2%

p2819.0%

xwOBA vs

p390.324

SL+3.9

FB+1.0

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)
2015	26	MIX MLE	3 levels	23	23	120	522	72	37	15	100%	5.2	12.6%	7.3%	5.2%	2.8%	4.42	4.50	+0.6
2015	26	MIX RAW	3 levels	23	23	120	522	72	37	15	100%	5.2	13.8%	7.1%	6.7%	2.9%	4.42	4.45	+0.6
2016	27	MIX MLE	2 levels	33	33	169	743	132	58	24	100%	5.1	17.1%	7.9%	9.2%	3.2%	5.22	4.41	+1.0
2016	27	MIX RAW	2 levels	33	33	169	743	132	58	24	100%	5.1	17.8%	7.8%	10.0%	3.2%	5.22	4.41	+1.0
2017	28	MIX MLE	2 levels	32	8	73	340	62	40	10	25%	2.3	17.9%	11.9%	6.0%	2.8%	6.87	4.64	-0.1
2017	28	MIX RAW	2 levels	32	8	73	340	62	40	10	25%	2.3	18.2%	11.8%	6.5%	2.9%	6.87	4.82	-0.2
2018	29	MIX MLE	2 levels	55	2	69	306	74	41	7	4%	1.3	22.7%	13.7%	8.9%	2.4%	4.02	4.24	+0.3
2018	29	MIX RAW	2 levels	55	2	69	306	74	41	7	4%	1.3	24.2%	13.4%	10.8%	2.3%	4.02	4.05	+0.4
2019	30	MLB MLE	Kansas City Royals	42	0	40	176	24	18	7	0%	1.0	13.6%	10.2%	3.4%	4.3%	5.80	5.60	-0.5
2019	30	MLB RAW	Kansas City Royals	42	0	40	176	24	18	7	0%	1.0	13.6%	10.2%	3.4%	4.0%	5.80	5.50	-0.4
2021	32	MIX MLE	2 levels	25	24	113	482	79	46	14	96%	4.5	15.9%	9.6%	6.2%	3.0%	3.02	4.64	+0.3
2021	32	MIX RAW	2 levels	25	24	113	482	79	46	14	96%	4.5	16.4%	9.5%	6.8%	2.9%	3.02	4.53	+0.5
2022	33	MIX MLE	3 levels	34	2	46	200	42	27	2	6%	1.3	19.0%	14.3%	4.8%	1.2%	2.56	3.98	+0.3
2022	33	MIX RAW	3 levels	34	2	46	200	42	27	2	6%	1.3	21.0%	13.5%	7.5%	1.0%	2.56	3.60	+0.5
2023	34	AAA MLE	Rochester Red Wings	24	24	103	460	100	55	13	100%	4.3	18.0%	10.8%	7.3%	2.9%	6.31	4.55	—
2023	34	AAA MLE	Rochester Red Wings	24	24	103	460	100	55	13	100%	4.3	18.0%	10.8%	7.3%	2.9%	6.31	4.55	—
2023	34	AAA RAW	Rochester Red Wings	24	24	103	460	100	55	13	100%	4.3	21.7%	12.0%	9.8%	2.8%	6.31	4.41	—
2024	35	AAA MLE	Indianapolis Indians	17	4	33	145	29	14	7	24%	1.9	16.6%	8.7%	7.9%	5.8%	7.44	6.01	—
2024	35	AAA MLE	Indianapolis Indians	17	4	33	145	29	14	7	24%	1.9	16.6%	8.7%	7.9%	5.8%	7.44	6.01	—
2024	35	AAA RAW	Indianapolis Indians	17	4	33	145	29	14	7	24%	1.9	20.0%	9.7%	10.3%	4.8%	7.44	5.40	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			188	70	500	2196	354	209	68	37%	2.7	16.1%	9.5%	6.6%	3.1%	4.66	4.70	-0.9
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	37	MLB	PIT	2	0	2	8	2	1	0	0%	1.0	20.9%	9.4%	11.4%	3.3%	4.79	4.73	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	38	MLB MLE	PIT	21	0	22	91	18	9	3	0%	1.0	19.7%	10.1%	9.6%	3.8%	5.01	5.16	-0.1
2027	38	MLB CTX	PIT	21	0	22	93	18	9	3	0%	1.0	19.7%	10.1%	9.6%	3.5%	4.86	5.01	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		209	70	522	2287	372	218	71	33%	2.5	16.3%	9.5%	6.7%	3.1%	4.67	4.64	-0.6
/ 200 IP	—	RAW		80	27	200	876	143	84	27	34%	2.5	16.3%	9.5%	6.7%	3.1%	4.67	4.64	-0.2
Career	—	MLE		285	120	766	3374	569	335	102	42%	2.7	16.9%	9.9%	6.9%	3.0%	4.93	4.59	-1.1
/ 200 IP	—	MLE		74	31	200	881	148	87	27	42%	2.7	16.9%	9.9%	6.9%	3.0%	4.93	4.59	-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
Wily Peralta (OGILVIE)	—	—	4.73	20.9%	9.4%	3.3%	—	5.16	19.7%	9.6%	22	+0.43	—	—	—
Ryan Vogelsong R 2015 · 4.45 FIP	38	SP-	4.45	18.1%	9.4%	3.1%	.295	4.79	16.7%	6.3%	82	+0.34	4.45	217	68
Jake Peavy R 2016 · 4.35 FIP	35	SP-	4.35	19.6%	6.7%	3.7%	.318	—	—	—	—	—	4.07	262	57
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	4.12	186	54
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	53
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	4.15	145	52
Dustin McGowan R 2017 · 4.58 FIP	35	SU	4.58	19.4%	6.7%	4.2%	.277	—	—	—	—	—	3.82	208	47
Chris Smith R 2017 · 5.08 FIP	36	SP-	5.08	15.6%	7.5%	4.3%	.286	—	—	—	—	—	3.79	413	46
Frankie De La Cruz R 2019 · 4.38 FIP	35	SP-	4.38	16.2%	8.0%	3.0%	.322	—	—	—	—	—	3.77	240	46
Fernando Rodney R 2015 · 4.37 FIP	38	SU	4.37	20.9%	9.4%	3.4%	.272	3.37	26.2%	15.2%	185	-1.00	2.69	295	44
Alfredo Simon R 2016 · 5.55 FIP	35	SP-	5.55	12.3%	9.6%	4.1%	.335	—	—	—	—	—	4.61	261	42
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	42
Santiago Casilla R 2017 · 4.13 FIP	37	SU	4.13	22.0%	8.1%	3.4%	.289	4.14	16.8%	1.6%	44	+0.01	3.50	219	41
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	40
Edgar Gonzalez R 2019 · 4.58 FIP	36	SP	4.58	12.3%	5.8%	3.2%	.331	—	—	—	—	—	3.19	450	40
Guillermo Moscoso R 2019 · 4.35 FIP	35	SP	4.35	12.6%	6.7%	2.7%	.321	—	—	—	—	—	3.77	264	39
Chien-Ming Wang R 2016 · 4.53 FIP	36	SU	4.53	13.0%	7.8%	2.8%	.305	—	—	—	—	—	4.23	183	39
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	428	36
Tim Hudson R 2015 · 4.41 FIP	40	SP	4.41	12.2%	6.9%	2.7%	.294	—	—	—	—	—	4.41	124	36
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	36
Jose Oyervides R 2019 · 5.66 FIP	37	SP	5.66	16.3%	11.2%	4.6%	.320	—	—	—	—	—	3.01	407	36