Reynaldo Yean

P Great Lakes Loons

Age 23 RHP 6'4" / 190 lbs A+

Overview

A+PROSPECTFG #986

ETA2028FG ETA2027MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	A+LAD	40	36	6.69	4.42	25.1%	25.7%	—	K 19.4% · BB 29.6% · FIP 5.21
2026	22	A+LAD	37	32	9.19	8.02	20.8%	33.3%	—	K 16.0% · BB 38.3% · FIP 8.11
2027PROJ	23	MLBLAD	86	90	5.77	5.77	20.9%	20.0%	-1.2
2028PROJ43% MLB	24	MLBLAD	38	40	5.44	5.31	22.5%	17.5%	-0.3
2029PROJ66% MLB	25	MLBLAD	59	62	5.17	5.04	23.4%	16.0%	-0.3

Next 3 projected WAR -1.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff60Command20FB velo70

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsMatt Brill (age 23) · Franklyn German (age 23) · Tommy DeJuneas (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 126

ERA5.77

FIP5.77

K%20.9%

BB%20.0%

K-BB%0.9%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

Grades · Contract

Scouting Grades

STUF5560

CMD2020

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 + 2027 so far)
2022	18	ROK MLE	ACL Dodgers	20	0	24	102	41	14	1	0%	1.2	27.3%	17.2%	10.2%	1.5%	2.96	3.79	—
2022	18	ROK RAW	ACL Dodgers	20	0	24	102	41	14	1	0%	1.2	40.2%	13.7%	26.5%	1.0%	2.96	1.99	—
2023	19	MIX MLE	2 levels	25	0	24	105	44	17	3	0%	1.0	26.9%	24.5%	2.4%	4.9%	6.00	6.65	—
2023	19	MIX RAW	2 levels	25	0	24	105	44	17	3	0%	1.0	41.9%	16.2%	25.7%	2.9%	6.00	3.18	—
2024	20	A MLE	Rancho Cucamonga Quakes	28	0	24	111	44	25	1	0%	0.8	29.3%	26.6%	2.8%	1.1%	6.08	4.59	—
2024	20	A MLE	Rancho Cucamonga Quakes	28	0	24	111	44	25	1	0%	0.8	29.3%	26.6%	2.8%	1.1%	6.08	4.59	—
2024	20	A RAW	Rancho Cucamonga Quakes	28	0	24	111	44	25	1	0%	0.8	39.6%	22.5%	17.1%	0.9%	6.08	3.10	—
2025	21	A+ MLE	Great Lakes Loons	40	0	36	179	45	46	0	0%	0.9	19.4%	29.6%	-10.2%	0.0%	6.69	5.21	—
2025	21	A+ MLE	Great Lakes Loons	40	0	36	179	45	46	0	0%	0.9	19.4%	29.6%	-10.2%	0.0%	6.69	5.21	—
2025	21	A+ RAW	Great Lakes Loons	40	0	36	179	45	46	0	0%	0.9	25.1%	25.7%	-0.6%	0.0%	6.69	4.42	—
2026	22	A+ MLE	Great Lakes Loons	37	0	32	183	38	61	4	0%	0.9	16.0%	38.3%	-22.3%	2.7%	9.19	8.11	—
2026	22	A+ MLE	Great Lakes Loons	37	0	32	183	38	61	4	0%	0.9	16.0%	38.3%	-22.3%	2.7%	9.19	8.11	—
2026	22	A+ RAW	Great Lakes Loons	37	0	32	183	38	61	4	0%	0.9	20.8%	33.3%	-12.6%	2.2%	9.19	8.02	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	LAD	86	0	90	380	79	76	11	0%	1.0	20.9%	20.0%	0.9%	2.8%	5.77	5.77	-1.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	LAD	88	0	92	389	87	68	11	0%	1.0	22.5%	17.5%	5.0%	2.8%	5.44	5.31	-0.8
2029	25	MLB MLE	LAD	89	0	93	394	92	63	11	0%	1.0	23.4%	16.0%	7.5%	2.8%	5.17	5.04	-0.5
2030	26	MLB MLE	LAD	89	0	93	394	95	61	11	0%	1.0	24.0%	15.5%	8.5%	2.8%	5.02	4.94	-0.4
2031	27	MLB MLE	LAD	88	0	92	388	93	60	11	0%	1.0	23.9%	15.4%	8.5%	2.8%	4.98	4.96	-0.4
2032	28	MLB MLE	LAD	85	0	89	377	90	59	11	0%	1.0	23.8%	15.5%	8.2%	2.9%	5.02	5.05	-0.5
2033	29	MLB MLE	LAD	81	0	85	360	85	57	11	0%	1.1	23.5%	15.8%	7.8%	3.1%	5.12	5.18	-0.6
2034	30	MLB MLE	LAD	76	0	80	338	78	54	11	0%	1.1	23.2%	16.1%	7.1%	3.3%	5.26	5.36	-0.7
2028	24	MLB CTX	LAD	38	0	40	169	38	30	5	0%	1.1	22.5%	17.5%	5.0%	2.8%	5.44	5.31	-0.3
2029	25	MLB CTX	LAD	59	0	62	262	61	42	7	0%	1.1	23.4%	16.0%	7.5%	2.8%	5.17	5.04	-0.3
2030	26	MLB CTX	LAD	70	0	74	312	75	48	9	0%	1.1	24.0%	15.5%	8.5%	2.8%	5.02	4.94	-0.3
2031	27	MLB CTX	LAD	74	0	78	329	79	51	9	0%	1.1	23.9%	15.4%	8.5%	2.8%	4.98	4.96	-0.4
2032	28	MLB CTX	LAD	75	0	79	334	79	52	10	0%	1.1	23.8%	15.5%	8.2%	2.9%	5.02	5.05	-0.4
2033	29	MLB CTX	LAD	73	0	77	325	77	51	10	0%	1.1	23.5%	15.8%	7.8%	3.1%	5.12	5.18	-0.5
2034	30	MLB CTX	LAD	70	0	74	312	72	50	10	0%	1.1	23.2%	16.1%	7.1%	3.3%	5.26	5.36	-0.7
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		462	0	485	2047	482	324	60	0%	1.0	23.6%	15.8%	7.7%	2.9%	5.12	4.73	-1.0
/ 200 IP	—	RAW		190	0	200	844	199	134	25	0%	1.1	23.6%	15.8%	7.7%	2.9%	5.12	4.73	-0.4
Career	—	MLE		150	0	141	680	153	196	13	0%	0.9	22.4%	28.8%	-6.4%	1.9%	6.40	5.90	-4.1
/ 200 IP	—	MLE		213	0	200	967	217	278	18	0%	0.9	22.4%	28.8%	-6.4%	1.9%	6.40	5.90	-1.3

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
Reynaldo Yean (OGILVIE)	—	—	5.77	20.9%	20.0%	2.8%	—	5.10	23.3%	7.0%	279	-0.67	—	—	—
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	84
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	84
Tommy DeJuneas R 2019 · 5.15 FIP	23	SU	5.15	20.8%	18.8%	2.6%	.324	5.65	13.7%	-3.9%	51	+0.50	3.93	178	83
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	82
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	82
Luis Ramirez R 2015 · 4.68 FIP	23	SU	4.68	23.1%	15.9%	2.8%	.278	3.71	24.0%	11.4%	53	-0.97	3.71	104	82
Jacob Wallace R 2022 · 5.59 FIP	23	SU	5.59	24.6%	21.6%	3.4%	.237	4.25	23.1%	10.4%	153	-1.34	3.50	279	81
Will McAffer R 2019 · 4.68 FIP	22	SU	4.68	20.4%	18.1%	1.8%	.270	5.96	18.5%	-4.0%	77	+1.28	4.68	133	81
Jonathan Teaney R 2019 · 5.65 FIP	23	SU	5.65	16.4%	15.7%	3.5%	.301	—	—	—	—	—	4.77	108	81
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	81
Sal Biasi R 2019 · 5.22 FIP	23	SU	5.22	20.1%	15.8%	3.3%	.295	7.66	15.3%	-0.2%	23	+2.44	4.68	188	81
Kris Hall R 2015 · 4.63 FIP	24	SU	4.63	18.3%	17.8%	1.5%	.281	7.01	12.7%	-7.8%	34	+2.38	4.63	106	80
Jacob Morris R 2015 · 5.43 FIP	24	SU	5.43	18.0%	19.6%	2.5%	.218	4.77	18.7%	-2.4%	46	-0.66	4.77	102	80
Konnor Ash R 2022 · 4.57 FIP	23	SU	4.57	22.2%	17.0%	2.2%	.340	3.56	22.4%	8.7%	87	-1.01	2.11	127	80
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	80
Caleb Simpson R 2017 · 5.37 FIP	25	SU	5.37	23.7%	17.2%	3.8%	.263	3.93	23.5%	5.1%	71	-1.44	3.57	197	80
Cody Scroggins R 2021 · 5.35 FIP	24	SU	5.35	17.4%	15.1%	3.3%	.263	4.28	18.6%	4.4%	59	-1.07	3.78	108	80
Andrew Baker R 2023 · 5.99 FIP	23	SU	5.99	24.7%	25.1%	3.3%	.315	3.70	25.5%	12.3%	164	-2.29	3.44	259	79
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	79
Mason McCullough R 2016 · 4.60 FIP	23	SU	4.60	20.8%	19.2%	1.5%	.340	3.93	26.7%	6.9%	77	-0.67	3.33	154	79

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.6	89	23.2%	16.5%	1.12	5.22
Emmett O'Neill ('43-'46, -2 WAR*)	1.8	119	19.1%*	15.5%*	0.99*	5.94*
Roy Parmelee ('29-'39, 4 WAR*)	5.6	124	24.0%*	12.7%*	1.20*	4.75*
Kazuhisa Ishii ('02-'05, 1 WAR*)	2.8	141	19.8%*	13.6%*	1.14*	4.72*
Tommy Byrne ('43-'57, 6 WAR*)	6.8	124	23.8%*	13.6%*	0.98*	4.39*
Tony Saunders ('99)	1.7	115	19.7%	13.2%	0.86	4.56
Jason Bere ('03)	5.6	123	18.4%	12.6%	1.17	5.14