Anderson Jerez prospect projection, MLE, ETA

Anderson Jerez P DSL LAD Mega

Age 22 RHP 5'10" / 185 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 13 proj IP

wRC+ AGAINSTvL 147139vR 131

ERA6.01

FIP6.01

K%20.0%

BB%20.4%

K-BB%-0.4%

ROS IP13

Value2026 · WAR

Runs saved vs league avg · 13 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 + 2026 so far)
2023	19	ROK MLE	DSL LAD Mega	17	0	20	95	17	21	0	0%	1.2	12.2%	27.6%	-15.5%	0.0%	3.10	5.57	—
2023	19	ROK MLE	DSL LAD Mega	17	0	20	95	17	21	0	0%	1.2	12.2%	27.6%	-15.5%	0.0%	3.10	5.57	—
2023	19	ROK RAW	DSL LAD Mega	17	0	20	95	17	21	0	0%	1.2	17.9%	22.1%	-4.2%	0.0%	3.10	4.53	—
2024	20	ROK MLE	DSL LAD Mega	16	2	23	136	19	29	2	12%	1.4	9.5%	26.7%	-17.2%	1.9%	12.71	6.71	—
2024	20	ROK MLE	DSL LAD Mega	16	2	23	136	19	29	2	12%	1.4	9.5%	26.7%	-17.2%	1.9%	12.71	6.71	—
2024	20	ROK RAW	DSL LAD Mega	16	2	23	136	19	29	2	12%	1.4	14.0%	21.3%	-7.4%	1.5%	12.71	6.41	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	22	MLB	—	—	—	0	—	—	—	—	—	—	20.0%	20.4%	-0.4%	3.0%	6.01	6.01	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	—	20	0	21	90	19	15	3	0%	1.1	21.2%	17.1%	4.1%	2.9%	5.61	5.46	-0.2
2027	23	MLB CTX	—	10	0	10	42	9	7	1	0%	1.0	21.2%	17.1%	4.1%	2.9%	5.61	5.46	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	44	9	8	1	0%	1.0	21.2%	17.1%	4.1%	2.9%	5.61	5.08	-0.1
/ 200 IP	—	RAW		190	0	200	844	173	154	19	0%	1.1	21.2%	17.1%	4.1%	2.9%	5.61	5.08	-1.2
Career	—	MLE		33	2	43	231	24	62	3	6%	1.3	10.6%	27.1%	-16.5%	1.1%	8.16	6.24	-0.2
/ 200 IP	—	MLE		153	9	200	1074	114	291	12	6%	1.3	10.6%	27.1%	-16.5%	1.1%	8.16	6.24	-2.1

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
Anderson Jerez (OGILVIE)	—	—	6.01	20.0%	20.4%	3.0%	—	5.46	21.2%	4.1%	21	-0.55	—	—	—
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	90
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	88
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	87
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	87
Franklyn German R 2003 · 5.17 FIP	23	SU	5.17	18.5%	18.9%	2.2%	.313	5.27	13.1%	0.1%	86	+0.10	3.37	152	86
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	85
Roberto Espinosa R 2015 · 4.92 FIP	23	SU	4.92	18.9%	18.6%	1.9%	.273	4.43	14.8%	2.2%	77	-0.49	4.32	117	85
Greg Weissert R 2016 · 5.22 FIP	21	SU	5.22	19.4%	19.3%	2.4%	.382	3.80	23.0%	10.3%	126	-1.42	2.57	487	85
Tommy McCollum R 2021 · 6.21 FIP	22	SU	6.21	17.1%	27.2%	2.0%	.235	3.80	26.4%	10.9%	112	-2.41	2.90	219	85
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	84
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	84
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	84
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	84
Jairo Beras R 2017 · 6.07 FIP	22	SU	6.07	16.4%	16.9%	4.0%	.237	4.35	20.7%	4.5%	96	-1.72	3.48	110	84
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	84
Jace Beck R 2022 · 6.24 FIP	22	SU	6.24	19.2%	23.6%	3.2%	.205	4.33	27.6%	8.3%	76	-1.91	4.03	216	84
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	83
Bryce McGowan R 2022 · 5.90 FIP	22	SU	5.90	17.0%	22.9%	2.4%	.368	4.36	20.6%	6.6%	145	-1.54	3.71	178	83
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	83
Brett Hanewich R 2017 · 5.18 FIP	22	SU	5.18	15.9%	17.6%	2.2%	.372	4.32	20.3%	2.8%	108	-0.86	4.24	134	83