Gerson Moreno

P Memphis Redbirds

Age 31 RHP 6'0" / 218 lbs AAA

Overview

AAAPROSPECT

MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	AAAOAK	37	1	42	6.00	5.29	23.8%	16.0%	—	K 20.4% · BB 14.4% · FIP 5.53
2025	29	AAASTL	14	0	15	1.23	3.30	25.0%	18.3%	—	K 21.5% · BB 16.5% · FIP 3.37
2026	30	MIX2 levels	7	0	7	5.14	6.67	23.5%	14.7%	—	K 23.5% · BB 14.7% · FIP 6.20
2027PROJ	31	MLBSTL	11	0	12	4.84	4.84	21.9%	12.7%	-0.0
2028PROJ37% MLB	32	MLBSTL	7	0	7	4.92	5.01	21.6%	12.7%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

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

CompsJim Miller (age 30) · Joe Nelson (age 31) · Neil Wagner (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.84

FIP4.84

K%21.9%

BB%12.7%

K-BB%9.2%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†5050

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 + 2027 so far)
2015	19	A MLE	West Michigan Whitecaps	5	0	9	31	9	3	0	0%	1.9	29.0%	9.7%	19.4%	0.0%	0.00	1.87	—
2015	19	A RAW	West Michigan Whitecaps	5	0	9	31	9	3	0	0%	1.9	29.0%	9.7%	19.4%	0.0%	0.00	2.14	—
2016	20	MIX MLE	2 levels	44	0	50	219	54	28	4	0%	1.1	18.6%	14.8%	3.8%	2.0%	3.99	4.48	—
2016	20	MIX RAW	2 levels	44	0	50	219	54	28	4	0%	1.1	24.7%	12.8%	11.9%	1.8%	3.99	3.66	—
2017	21	MIX MLE	2 levels	41	0	50	221	66	24	5	0%	1.2	23.6%	12.1%	11.5%	2.0%	4.47	3.76	—
2017	21	MIX RAW	2 levels	41	0	50	221	66	24	5	0%	1.2	29.9%	10.9%	19.0%	2.3%	4.47	3.20	—
2018	22	AA MLE	Erie SeaWolves	14	0	17	80	21	14	2	0%	1.2	21.3%	19.2%	2.0%	2.7%	5.29	5.22	—
2018	22	AA RAW	Erie SeaWolves	14	0	17	80	21	14	2	0%	1.2	26.2%	17.5%	8.8%	2.5%	5.29	4.63	—
2019	23	ROK MLE	FCL Tigers East	7	6	7	32	7	5	0	86%	1.0	21.9%	15.6%	6.2%	0.0%	8.10	3.23	—
2019	23	ROK RAW	FCL Tigers East	7	6	7	32	7	5	0	86%	1.0	21.9%	15.6%	6.2%	0.0%	8.10	3.25	—
2021	25	MIX MLE	2 levels	37	0	49	220	73	29	9	0%	1.3	27.0%	12.9%	14.1%	5.0%	4.59	5.21	—
2021	25	MIX RAW	2 levels	37	0	49	220	73	29	9	0%	1.3	33.2%	13.2%	20.0%	4.1%	4.59	4.28	—
2022	26	AA MLE	Erie SeaWolves	48	1	57	237	96	31	5	2%	1.2	32.8%	14.4%	18.4%	2.7%	3.32	3.65	—
2022	26	AA RAW	Erie SeaWolves	48	1	57	237	96	31	5	2%	1.2	40.5%	13.1%	27.4%	2.1%	3.32	2.50	—
2023	27	AAA MLE	Rochester Red Wings	59	0	72	305	91	46	5	0%	1.2	25.7%	13.6%	12.1%	1.7%	3.14	3.59	—
2023	27	AAA RAW	Rochester Red Wings	59	0	72	305	91	46	5	0%	1.2	29.8%	15.1%	14.8%	1.6%	3.14	3.39	—
2024	28	AAA MLE	Las Vegas Aviators	37	1	42	181	43	29	7	3%	1.1	20.4%	14.4%	6.0%	4.2%	6.00	5.53	—
2024	28	AAA MLE	Las Vegas Aviators	37	1	42	181	43	29	7	3%	1.1	20.4%	14.4%	6.0%	4.2%	6.00	5.53	—
2024	28	AAA RAW	Las Vegas Aviators	37	1	42	181	43	29	7	3%	1.1	23.8%	16.0%	7.7%	3.9%	6.00	5.29	—
2025	29	AAA MLE	Memphis Redbirds	14	0	15	60	15	11	0	0%	1.0	21.5%	16.5%	5.0%	0.0%	1.23	3.37	—
2025	29	AAA MLE	Memphis Redbirds	14	0	15	60	15	11	0	0%	1.0	21.5%	16.5%	5.0%	0.0%	1.23	3.37	—
2025	29	AAA RAW	Memphis Redbirds	14	0	15	60	15	11	0	0%	1.0	25.0%	18.3%	6.7%	0.0%	1.23	3.30	—
2026	30	MIX MLE	2 levels	7	0	7	34	8	5	2	0%	1.0	23.5%	14.7%	8.8%	5.9%	5.14	6.20	—
2026	30	MIX MLE	2 levels	7	0	7	34	8	5	2	0%	1.0	23.5%	14.7%	8.8%	5.9%	5.14	6.20	—
2026	30	MIX RAW	2 levels	7	0	7	34	8	5	2	0%	1.0	23.5%	14.7%	8.8%	5.9%	5.14	6.67	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	STL	11	0	12	51	11	6	1	0%	1.1	21.9%	12.7%	9.2%	2.9%	4.84	4.84	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	STL	19	0	20	84	18	11	3	0%	1.1	21.6%	12.7%	8.8%	3.2%	4.92	5.01	-0.1
2028	32	MLB CTX	STL	7	0	7	30	6	4	1	0%	1.0	21.6%	12.7%	8.8%	3.2%	4.92	5.01	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	4	1	0%	1.1	21.6%	12.7%	8.8%	3.2%	4.92	4.63	-0.0
/ 200 IP	—	RAW		190	0	200	844	190	109	27	0%	1.1	21.6%	12.7%	8.8%	3.2%	4.92	4.63	-0.2
Career	—	MLE		313	8	374	1620	399	228	43	3%	1.2	24.7%	14.1%	10.6%	2.7%	4.04	4.27	-0.1
/ 200 IP	—	MLE		167	4	200	866	213	122	23	3%	1.2	24.7%	14.1%	10.6%	2.7%	4.04	4.27	-1.1

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
Gerson Moreno (OGILVIE)	—	—	4.84	21.9%	12.7%	2.9%	—	5.01	21.6%	8.8%	20	+0.17	—	—	—
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	85
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	85
Neil Wagner R 2016 · 4.05 FIP	32	SU	4.05	19.8%	12.3%	1.9%	.360	3.11	20.7%	12.1%	54	-0.94	3.11	135	82
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	80
Dustin Molleken R 2016 · 4.04 FIP	31	SU	4.04	19.6%	12.1%	1.9%	.276	3.38	24.3%	11.9%	16	-0.66	3.38	129	80
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	78
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	78
Manny Acosta R 2012 · 4.49 FIP	31	SU	4.49	21.3%	11.1%	3.2%	.295	—	—	—	—	—	3.08	350	75
Jason Bulger R 2010 · 4.36 FIP	31	SU	4.36	22.5%	13.5%	2.6%	.324	—	—	—	—	—	3.78	106	75
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	75
David Carpenter R 2016 · 4.49 FIP	31	SU	4.49	21.4%	12.8%	2.9%	.333	3.89	21.5%	11.9%	49	-0.60	2.66	275	74
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	74
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.51	246	74
Brian Sanches R 2010 · 4.24 FIP	31	SU	4.24	21.3%	10.6%	2.9%	.217	4.35	19.6%	8.5%	62	+0.11	3.39	229	73
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	73
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	73
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	73
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	2.60	292	72
Fredy Quintero R 2019 · 4.62 FIP	31	SU	4.62	17.2%	13.7%	2.2%	.310	—	—	—	—	—	4.29	241	72
Leonel Campos R 2017 · 3.70 FIP	30	SU	3.70	25.7%	11.8%	2.3%	.241	—	—	—	—	—	2.62	168	72