Yoshtner Farfan

P DSL CLE Goryl

Age 19 LHP 5'8" / 161 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL CLE Mendo…	17	0	26	6.66	4.11	18.6%	16.1%	—	K 12.7% · BB 20.1% · FIP 5.27
2026	18	ROKDSL CLE Goryl	10	1	14	3.21	3.24	22.6%	16.1%	—	K 15.4% · BB 20.2% · FIP 4.36
2027PROJ	19	MLBPIT	10	0	11	5.52	5.52	20.3%	17.1%	-0.1
2028PROJ49% MLB	20	MLBPIT	11	0	12	5.24	5.13	21.1%	14.7%	-0.1

Next 2 projected WAR -0.2Projected 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%

CompsCD Pelham (age 20) · Peter Bonilla (age 19) · Boone Logan (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122130vR 138

ERA5.52

FIP5.52

K%20.3%

BB%17.1%

K-BB%3.3%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 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)
2025	17	ROK MLE	DSL CLE Mendoza	17	0	26	118	22	19	1	0%	1.5	12.7%	20.1%	-7.4%	1.3%	6.66	5.27	—
2025	17	ROK MLE	DSL CLE Mendoza	17	0	26	118	22	19	1	0%	1.5	12.7%	20.1%	-7.4%	1.3%	6.66	5.27	—
2025	17	ROK RAW	DSL CLE Mendoza	17	0	26	118	22	19	1	0%	1.5	18.6%	16.1%	2.5%	0.8%	6.66	4.11	—
2026	18	ROK MLE	DSL CLE Goryl	10	1	14	62	14	10	0	10%	1.4	15.4%	20.2%	-4.8%	0.0%	3.21	4.36	—
2026	18	ROK MLE	DSL CLE Goryl	10	1	14	62	14	10	0	10%	1.4	15.4%	20.2%	-4.8%	0.0%	3.21	4.36	—
2026	18	ROK RAW	DSL CLE Goryl	10	1	14	62	14	10	0	10%	1.4	22.6%	16.1%	6.5%	0.0%	3.21	3.24	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	PIT	10	0	11	46	9	8	1	0%	1.1	20.3%	17.1%	3.3%	2.9%	5.52	5.52	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	PIT	23	0	24	103	22	15	3	0%	1.1	21.1%	14.7%	6.5%	2.9%	5.24	5.13	-0.2
2028	20	MLB CTX	PIT	11	0	12	51	11	7	1	0%	1.1	21.1%	14.7%	6.5%	2.9%	5.24	5.13	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	12	50	11	7	1	0%	1.1	21.1%	14.7%	6.4%	2.9%	5.24	4.75	-0.0
/ 200 IP	—	RAW		190	0	200	844	184	117	17	0%	1.1	21.1%	14.7%	6.4%	2.9%	5.24	4.75	-0.5
Career	—	MLE		27	1	40	180	24	36	1	4%	1.5	13.6%	20.1%	-6.5%	0.8%	5.45	4.96	-0.2
/ 200 IP	—	MLE		136	5	200	908	123	183	8	4%	1.5	13.6%	20.1%	-6.5%	0.8%	5.45	4.96	-1.4

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
Yoshtner Farfan (OGILVIE)	—	—	5.52	20.3%	17.1%	2.9%	—	5.13	21.1%	6.5%	24	-0.39	—	—	—
CD Pelham L 2015 · 4.77 FIP	20	SU	4.77	18.8%	18.7%	1.6%	.286	4.00	20.4%	7.8%	109	-0.77	3.39	288	86
Peter Bonilla L 2024 · 4.63 FIP	19	SU	4.63	20.9%	18.3%	1.8%	.250	6.24	19.5%	-5.4%	51	+1.61	4.27	134	84
Boone Logan L 2006 · 4.69 FIP	21	SU	4.69	16.1%	14.0%	2.1%	.302	4.14	17.2%	10.5%	110	-0.55	2.58	442	80
Anfernny Reyes L 2023 · 4.98 FIP	19	SU	4.98	21.6%	13.6%	3.6%	.282	4.34	21.0%	1.8%	99	-0.64	2.89	175	78
Jonas Uzcategui L 2024 · 4.53 FIP	19	SU	4.53	23.7%	23.3%	0.9%	.231	4.54	22.5%	4.8%	59	+0.01	4.53	104	77
Esmerlin Vinicio L 2022 · 4.71 FIP	19	SW	4.71	17.6%	15.7%	2.0%	.365	4.87	17.2%	0.5%	207	+0.16	3.73	383	77
Roberto Medina L 2024 · 5.29 FIP	19	SW	5.29	18.5%	19.6%	2.3%	.254	5.91	15.1%	-2.7%	45	+0.62	3.87	109	77
Nicolo Pinazzi L 2021 · 4.55 FIP	21	SU	4.55	25.7%	21.3%	1.7%	.389	5.41	22.7%	0.2%	76	+0.86	2.58	155	76
Develson Aria L 2019 · 5.19 FIP	18	SU	5.19	15.5%	19.7%	1.6%	.311	4.33	21.7%	3.1%	54	-0.86	4.32	137	76
Daniel Gonzalez L 2021 · 5.55 FIP	19	SU	5.55	13.6%	19.1%	2.1%	.318	4.98	20.1%	2.0%	100	-0.57	4.34	136	75
Daniel Juarez L 2019 · 4.45 FIP	18	SU	4.45	24.9%	14.7%	2.9%	.389	4.24	26.5%	9.0%	68	-0.21	3.68	221	75
Tim Collins L 2011 · 4.36 FIP	21	SU	4.36	20.3%	15.6%	1.8%	.255	3.47	25.9%	15.6%	144	-0.89	3.16	297	75
Braian Salazar L 2024 · 4.71 FIP	19	SW	4.71	22.0%	20.2%	1.7%	.344	4.11	21.7%	5.1%	107	-0.60	3.58	158	75
Edison Suriel L 2018 · 6.39 FIP	19	SU	6.39	16.8%	20.5%	3.8%	.341	2.16	21.4%	14.6%	17	-4.23	2.16	159	74
Jayvien Sandridge L 2018 · 5.17 FIP	19	SU	5.17	15.5%	19.0%	1.8%	.188	6.78	19.0%	-4.9%	13	+1.61	3.25	223	74
Max Green L 2018 · 4.87 FIP	22	SU	4.87	15.7%	13.3%	2.6%	.352	4.41	13.9%	6.6%	86	-0.46	4.19	169	74
Denny Bentley L 2018 · 4.85 FIP	20	SU	4.85	19.6%	10.3%	3.8%	.318	2.88	25.4%	10.3%	58	-1.97	2.88	175	74
Justin Bruihl L 2018 · 4.38 FIP	21	SU	4.38	18.8%	18.9%	0.9%	.356	2.58	23.9%	17.4%	91	-1.80	2.03	407	74
Harold Melenge L 2021 · 4.55 FIP	19	SU	4.55	17.3%	12.7%	2.4%	.297	3.44	16.4%	10.2%	89	-1.11	2.69	238	74
Carlos Rey L 2024 · 4.47 FIP	22	SU	4.47	26.1%	22.0%	1.4%	.297	4.30	25.5%	5.4%	108	-0.17	3.90	165	73