Saul Gonzalez — OGILVIE

Saul Gonzalez P Myrtle Beach Pelicans

Age 26 RHP 6'7" / 235 lbs A peak 0.1 · 2026

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 114106vR 98

ERA4.25

FIP4.25

K%22.9%

BB%8.5%

K-BB%14.5%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5555

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)
2018	18	ROK MLE	GCL Mets	3	0	2	13	1	2	1	0%	0.8	7.7%	15.4%	-7.7%	7.7%	11.57	8.62	—
2018	18	ROK RAW	GCL Mets	3	0	2	13	1	2	1	0%	0.8	7.7%	15.4%	-7.7%	7.7%	11.57	10.39	—
2021	21	MIX MLE	2 levels	12	7	40	177	41	12	2	58%	3.3	16.1%	8.4%	7.7%	1.6%	4.99	3.66	—
2021	21	MIX RAW	2 levels	12	7	40	177	41	12	2	58%	3.3	23.2%	6.8%	16.4%	1.1%	4.99	2.60	—
2022	22	A MLE	Myrtle Beach Pelicans	21	2	43	179	48	19	1	10%	2.0	19.8%	12.5%	7.3%	0.8%	3.14	3.43	—
2022	22	A RAW	Myrtle Beach Pelicans	21	2	43	179	48	19	1	10%	2.0	26.8%	10.6%	16.2%	0.6%	3.14	2.50	—
2023	23	A MLE	Myrtle Beach Pelicans	15	0	27	109	29	6	1	0%	1.8	19.7%	6.5%	13.2%	1.2%	2.67	2.94	—
2023	23	A MLE	Myrtle Beach Pelicans	15	0	27	109	29	6	1	0%	1.8	19.7%	6.5%	13.2%	1.2%	2.67	2.94	—
2023	23	A RAW	Myrtle Beach Pelicans	15	0	27	109	29	6	1	0%	1.8	26.6%	5.5%	21.1%	0.9%	2.67	2.10	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	26	MLB	CHC	1	0	1	4	1	0	0	0%	1.0	22.9%	8.5%	14.5%	3.0%	4.25	4.25	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	CHC	19	0	20	84	19	7	3	0%	1.1	23.0%	8.6%	14.4%	3.0%	4.28	4.30	+0.1
2027	27	MLB CTX	CHC	7	0	7	30	7	3	1	0%	1.0	23.0%	8.6%	14.4%	3.0%	4.28	4.30	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	3	1	0%	1.0	23.0%	8.6%	14.4%	3.0%	4.28	3.92	+0.1
/ 200 IP	—	RAW		190	0	200	844	193	83	28	0%	1.1	23.0%	8.6%	14.4%	3.0%	4.28	3.92	+1.5
Career	—	MLE		51	9	112	478	86	46	7	18%	2.2	18.1%	9.7%	8.4%	1.4%	3.86	3.55	+0.1
/ 200 IP	—	MLE		91	16	200	854	154	83	12	18%	2.2	18.1%	9.7%	8.4%	1.4%	3.86	3.55	+0.6

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
Saul Gonzalez (OGILVIE)	—	—	4.25	22.9%	8.5%	3.0%	—	4.30	23.0%	14.4%	20	+0.05	—	—	—
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	299	81
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.55	17.5%	6.5%	168	+0.67	3.88	202	79
Joe Navilhon R 2019 · 3.23 FIP	26	SU	3.23	20.5%	7.7%	1.6%	.322	4.28	23.4%	16.7%	99	+1.05	2.25	273	78
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	78
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	78
Jonathan Aro R 2017 · 3.72 FIP	26	SU	3.72	25.3%	6.9%	3.4%	.252	3.56	14.6%	8.1%	108	-0.16	2.57	323	78
R.J. Alaniz R 2017 · 3.91 FIP	26	SU	3.91	20.7%	8.9%	2.6%	.318	3.28	23.8%	15.0%	96	-0.63	2.45	362	77
Danny Hrbek R 2019 · 3.98 FIP	24	SU	3.98	21.3%	7.5%	3.1%	.312	—	—	—	—	—	3.98	100	77
Joshua Loeschorn R 2023 · 3.86 FIP	23	SU	3.86	24.5%	7.7%	3.4%	.272	4.43	17.1%	8.4%	83	+0.57	3.08	151	77
Simon Castro R 2015 · 3.28 FIP	27	SU	3.28	26.4%	8.5%	2.4%	.320	3.58	26.0%	17.6%	128	+0.30	3.01	185	77
Madison Younginer IV R 2017 · 4.22 FIP	26	SU	4.22	23.0%	9.8%	3.3%	.370	4.73	14.0%	-5.3%	27	+0.51	3.08	219	76
Coleman Huntley III R 2021 · 3.85 FIP	28	SW	3.85	20.2%	7.4%	2.8%	.348	3.56	23.4%	13.2%	86	-0.29	2.38	160	76
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	76
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	76
Michael Dimock R 2016 · 3.91 FIP	26	SU	3.91	26.8%	9.8%	3.3%	.289	3.79	20.9%	11.9%	66	-0.12	3.08	166	76
Kyle Winkler R 2016 · 3.70 FIP	26	SU	3.70	23.1%	8.7%	2.6%	.234	3.53	18.4%	8.3%	43	-0.17	2.97	114	76
Nick Merkel R 2023 · 3.99 FIP	25	SU	3.99	22.8%	7.1%	3.5%	.284	3.44	20.7%	10.3%	129	-0.55	3.15	205	76
Dylan King R 2022 · 3.78 FIP	25	SW	3.78	26.7%	9.8%	3.1%	.266	—	—	—	—	—	3.78	121	76
Mike Ellenbest R 2021 · 4.57 FIP	26	SU	4.57	22.8%	9.3%	4.0%	.315	3.70	19.4%	6.8%	21	-0.87	3.69	228	76
Stephen Perakslis R 2017 · 3.07 FIP	26	SW	3.07	21.3%	8.2%	1.3%	.313	5.15	11.8%	5.9%	42	+2.08	3.07	211	76