Guachi Jules prospect projection, MLE, ETA

Guachi Jules P DSL Orioles Black

Age 22 RHP 6'2" / 180 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 10 proj IP

wRC+ AGAINSTvL 143135vR 127

ERA5.78

FIP5.78

K%21.4%

BB%19.5%

K-BB%1.9%

ROS IP10

Value2026 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

K†5055

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)
2024	20	ROK MLE	DSL Orioles Black	16	0	18	97	16	23	1	0%	1.1	11.2%	29.6%	-18.4%	1.5%	6.11	6.71	—
2024	20	ROK MLE	DSL Orioles Black	16	0	18	97	16	23	1	0%	1.1	11.2%	29.6%	-18.4%	1.5%	6.11	6.71	—
2024	20	ROK RAW	DSL Orioles Black	16	0	18	97	16	23	1	0%	1.1	16.5%	23.7%	-7.2%	1.0%	6.11	5.93	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	22	MLB	BAL	—	—	0	—	—	—	—	—	—	21.4%	19.5%	1.9%	3.0%	5.78	5.78	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	BAL	19	0	20	84	19	14	2	0%	1.1	22.3%	16.4%	6.0%	2.9%	5.42	5.28	-0.2
2027	23	MLB CTX	BAL	10	0	10	42	9	7	1	0%	1.0	22.3%	16.4%	6.0%	2.9%	5.42	5.28	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	7	1	0%	1.1	22.3%	16.4%	6.0%	2.9%	5.42	4.90	-0.0
/ 200 IP	—	RAW		190	0	200	844	183	142	20	0%	1.1	22.3%	16.4%	6.0%	2.9%	5.42	4.90	-0.8
Career	—	MLE		16	0	18	97	11	29	1	0%	1.1	11.2%	29.6%	-18.4%	1.5%	6.11	6.71	-0.2
/ 200 IP	—	MLE		181	0	200	1098	123	325	16	0%	1.1	11.2%	29.6%	-18.4%	1.5%	6.11	6.71	-1.7

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
Guachi Jules (OGILVIE)	—	—	5.78	21.4%	19.5%	3.0%	—	5.28	22.3%	6.0%	20	-0.50	—	—	—
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	92
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	89
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	88
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	88
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	88
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	86
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	86
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	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
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
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
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	85
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	84
Jonathan Teaney R 2018 · 4.77 FIP	22	SU	4.77	22.5%	19.8%	1.9%	.328	5.65	16.4%	0.7%	55	+0.88	4.77	108	84
Adonis Villavicencio R 2022 · 4.65 FIP	21	SU	4.65	21.5%	21.9%	1.1%	.316	3.93	18.0%	3.9%	90	-0.72	3.21	115	83
Matt Brill R 2018 · 4.90 FIP	23	SU	4.90	20.8%	16.3%	2.7%	.248	3.89	19.4%	4.9%	60	-1.01	3.73	161	83
Osiel Rodriguez R 2023 · 4.82 FIP	21	SU	4.82	22.7%	15.7%	3.0%	.263	5.62	22.0%	7.6%	56	+0.80	3.38	124	83
Walker Brockhouse R 2021 · 6.65 FIP	22	SU	6.65	20.2%	19.7%	5.0%	.265	4.69	19.3%	3.2%	111	-1.96	4.24	126	83
Yoel Espinal R 2015 · 4.63 FIP	22	SU	4.63	21.0%	21.4%	1.1%	.284	4.52	22.9%	5.6%	157	-0.11	3.86	231	83
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	82