Eddy Yean

P Rochester Red Wings

Age 26 RHP 6'3" / 265 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	48	0	75	3.36	3.14	21.2%	6.5%	—	K 16.6% · BB 6.9% · FIP 4.05
2025	24	AAAPIT	50	4	71	3.06	4.36	17.5%	14.2%	—	K 15.0% · BB 12.8% · FIP 4.52
2026	25	MIX2 levels	67	2	73	3.10	3.40	23.2%	9.3%	1.0	K 21.1% · BB 9.1% · FIP 3.65
2027PROJ	26	MLBWSH	46	0	48	4.99	4.99	17.6%	12.4%	-0.2
2028PROJ79% MLB	27	MLBWSH	38	0	40	4.94	4.96	18.2%	12.2%	-0.2
2029PROJ85% MLB	28	MLBWSH	35	0	37	4.95	4.99	18.4%	12.1%	-0.2

Last 3 seasons WAR 1.0 · Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control35Command30

Career WAR0.0 WAR median (P10 -0.6 / P90 1.4, comp-based) · star 0% · didn't stick 95%

CompsDerek Eitel (age 27) · Spencer Bivens (age 28) · David Holman (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA4.99

FIP4.99

K%17.6%

BB%12.4%

K-BB%5.2%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL3535

CMD3030

K†4045

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 the standard WAR scale.

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)
2018	17	ROK MLE	DSL Nationals	11	10	44	207	32	23	1	91%	4.0	10.5%	13.9%	-3.4%	0.7%	5.98	4.34	—
2018	17	ROK RAW	DSL Nationals	11	10	44	207	32	23	1	91%	4.0	15.5%	11.1%	4.3%	0.5%	5.98	3.51	—
2019	18	ROK MLE	GCL Nationals	8	8	35	146	36	12	3	100%	4.4	16.8%	10.3%	6.5%	2.9%	3.82	4.56	—
2019	18	ROK RAW	GCL Nationals	8	8	35	146	36	12	3	100%	4.4	24.7%	8.2%	16.4%	2.1%	3.82	3.18	—
2021	20	A MLE	Bradenton Marauders	22	8	67	296	69	39	8	36%	3.0	17.2%	15.5%	1.7%	2.7%	5.26	5.09	—
2021	20	A RAW	Bradenton Marauders	22	8	67	296	69	39	8	36%	3.0	23.3%	13.2%	10.1%	2.7%	5.26	4.34	—
2022	21	A+ MLE	Greensboro Grasshoppers	42	0	53	252	60	28	6	0%	1.3	18.3%	12.8%	5.6%	2.3%	6.75	4.45	—
2022	21	A+ RAW	Greensboro Grasshoppers	42	0	53	252	60	28	6	0%	1.3	23.8%	11.1%	12.7%	2.4%	6.75	3.89	—
2023	22	A+ MLE	Greensboro Grasshoppers	40	1	50	226	44	23	2	2%	1.3	15.0%	11.7%	3.3%	0.9%	5.01	3.82	—
2023	22	A+ RAW	Greensboro Grasshoppers	40	1	50	226	44	23	2	2%	1.3	19.5%	10.2%	9.3%	0.9%	5.01	3.24	—
2024	23	MIX MLE	2 levels	48	0	75	325	69	21	6	0%	1.6	16.6%	6.9%	9.7%	2.7%	3.36	4.05	—
2024	23	MIX MLE	2 levels	48	0	75	325	69	21	6	0%	1.6	16.6%	6.9%	9.7%	2.7%	3.36	4.05	—
2024	23	MIX RAW	2 levels	48	0	75	325	69	21	6	0%	1.6	21.2%	6.5%	14.8%	1.8%	3.36	3.14	—
2025	24	AAA MLE	Indianapolis Indians	50	4	71	309	54	44	5	8%	1.4	15.0%	12.8%	2.2%	1.9%	3.06	4.52	—
2025	24	AAA MLE	Indianapolis Indians	50	4	71	309	54	44	5	8%	1.4	15.0%	12.8%	2.2%	1.9%	3.06	4.52	—
2025	24	AAA RAW	Indianapolis Indians	50	4	71	309	54	44	5	8%	1.4	17.5%	14.2%	3.2%	1.6%	3.06	4.36	—
2026	25	MIX MLE	2 levels	67	2	73	302	70	28	6	3%	1.1	21.1%	9.1%	12.0%	2.1%	3.10	3.65	+0.8
2026	25	MIX MLE	2 levels	67	2	73	302	70	28	6	3%	1.1	21.1%	9.1%	12.0%	2.1%	3.10	3.65	+0.8
2026	25	MIX RAW	2 levels	67	2	73	302	70	28	6	3%	1.1	23.2%	9.3%	13.9%	2.0%	3.10	3.40	+1.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			8	1	11	45	7	2	1	12%	1.4	15.6%	4.4%	11.1%	2.2%	2.45	3.55	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	WSH	46	0	48	203	36	25	5	0%	1.0	17.6%	12.4%	5.2%	2.6%	4.99	4.99	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	WSH	49	0	52	217	40	27	6	0%	1.1	18.2%	12.2%	6.0%	2.7%	4.94	4.96	-0.2
2029	28	MLB MLE	WSH	42	0	44	185	34	22	5	0%	1.0	18.4%	12.1%	6.3%	2.8%	4.95	4.99	-0.2
2030	29	MLB MLE	WSH	37	0	39	166	31	20	5	0%	1.1	18.4%	12.2%	6.2%	3.0%	5.02	5.09	-0.2
2028	27	MLB CTX	WSH	38	0	40	169	31	21	5	0%	1.1	18.2%	12.2%	6.0%	2.7%	4.94	4.96	-0.2
2029	28	MLB CTX	WSH	35	0	37	156	29	19	4	0%	1.1	18.4%	12.1%	6.3%	2.8%	4.95	4.99	-0.2
2030	29	MLB CTX	WSH	33	0	35	148	27	18	4	0%	1.1	18.4%	12.2%	6.2%	3.0%	5.02	5.09	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		115	1	123	518	94	60	14	1%	1.1	18.1%	11.5%	6.6%	2.8%	4.74	4.54	+0.0
/ 200 IP	—	RAW		186	2	200	842	153	97	23	1%	1.1	18.1%	11.5%	6.6%	2.8%	4.74	4.54	+0.0
Career	—	MLE		288	33	468	2063	341	238	43	11%	1.6	16.6%	11.5%	5.0%	2.1%	4.39	4.30	-0.6
/ 200 IP	—	MLE		123	14	200	882	146	102	18	11%	1.6	16.6%	11.5%	5.0%	2.1%	4.39	4.30	-0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAARochester Red Wings · 62 IPFIP 3.38 → 3.65 (+0.27)K% 24.5% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.51%	—	×0.860	21.08%
BB% (unintentional) /BF	10.12%	—	×0.900	9.11%
HR / BF /BF	1.95%	÷1.000	×1.100	2.14%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.38 → 3.65, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAAIndianapolis Indians · 71 IPFIP 4.32 → 4.52 (+0.21)K% 17.5% → 15.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.48%	—	×0.860	15.03%
BB% (unintentional) /BF	14.24%	—	×0.900	12.82%
HR / BF /BF	1.62%	÷0.915	×1.100	1.95%

Result: FIP 4.32 → 4.52, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAAltoona Curve · 73 IPFIP 3.21 → 4.05 (+0.85)K% 20.5% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.50%	—	×0.810	16.61%
BB% (unintentional) /BF	6.31%	—	×1.100	6.94%
HR / BF /BF	1.89%	÷0.844	×1.200	2.69%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 69).

Result: FIP 3.21 → 4.05, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 A+Greensboro Grasshoppers · 50 IPFIP 3.23 → 3.82 (+0.59)K% 19.5% → 15.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.47%	—	×0.770	14.99%
BB% (unintentional) /BF	10.18%	—	×1.150	11.70%
HR / BF /BF	0.88%	÷1.202	×1.250	0.92%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 140).

Result: FIP 3.23 → 3.82, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 A+Greensboro Grasshoppers · 53 IPFIP 3.80 → 4.45 (+0.65)K% 23.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.81%	—	×0.770	18.33%
BB% (unintentional) /BF	11.11%	—	×1.150	12.78%
HR / BF /BF	2.38%	÷1.273	×1.250	2.34%

Result: FIP 3.80 → 4.45, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 ABradenton Marauders · 67 IPFIP 4.28 → 5.09 (+0.81)K% 23.3% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.31%	—	×0.740	17.25%
BB% (unintentional) /BF	13.18%	—	×1.180	15.55%
HR / BF /BF	2.70%	÷1.302	×1.300	2.70%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 160).

Result: FIP 4.28 → 5.09, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 ROKGCL Nationals · 35 IPFIP 3.19 → 4.56 (+1.38)K% 24.7% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.66%	—	×0.680	16.77%
BB% (unintentional) /BF	8.22%	—	×1.250	10.27%
HR / BF /BF	2.05%	÷1.000	×1.400	2.88%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.19 → 4.56, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2018 ROKDSL Nationals · 44 IPFIP 3.47 → 4.34 (+0.88)K% 15.5% → 10.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.46%	—	×0.680	10.51%
BB% (unintentional) /BF	11.11%	—	×1.250	13.89%
HR / BF /BF	0.48%	÷1.000	×1.400	0.68%

Result: FIP 3.47 → 4.34, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Eddy Yean (OGILVIE)	—	—	4.99	17.6%	12.4%	2.6%	—	5.01	18.3%	6.2%	134	+0.02	—	—	—
Derek Eitel R 2015 · 4.35 FIP	27	SU	4.35	18.1%	13.9%	1.8%	.338	4.26	19.7%	5.0%	113	-0.09	3.96	138	81
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	81
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	81
Casey Fien R 2009 · 5.17 FIP	25	SU	5.17	17.0%	11.3%	3.8%	.306	2.79	22.7%	19.2%	35	-2.38	2.79	308	81
Brad Goldberg R 2016 · 3.83 FIP	26	SU	3.83	18.1%	10.8%	1.6%	.269	3.87	23.3%	7.2%	89	+0.04	3.14	197	80
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	80
Luis García R 2013 · 4.92 FIP	26	SU	4.92	16.7%	16.7%	2.0%	.270	3.68	20.3%	9.3%	151	-1.24	2.33	662	80
Jake Johansen R 2017 · 4.65 FIP	26	SU	4.65	15.9%	12.1%	2.5%	.273	3.65	12.8%	4.9%	48	-1.00	3.65	162	80
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	80
Justin Courtney R 2022 · 5.11 FIP	26	SU	5.11	16.8%	12.8%	3.3%	.331	8.63	18.4%	7.1%	21	+3.52	4.58	108	79
Jacob Bosiokovic R 2019 · 3.84 FIP	25	SU	3.84	17.2%	9.8%	1.7%	.289	4.21	24.7%	12.1%	62	+0.37	3.84	181	79
Nefi Ogando R 2015 · 3.87 FIP	26	SU	3.87	17.0%	11.6%	1.4%	.266	4.11	14.7%	3.1%	40	+0.24	3.87	103	79
Scott Proctor R 2004 · 5.43 FIP	27	SU	5.43	17.8%	11.9%	4.2%	.308	4.36	18.8%	11.0%	233	-1.07	3.68	337	79
Jeff Fulchino R 2008 · 4.62 FIP	28	SU	4.62	16.7%	11.1%	2.8%	.380	3.86	21.0%	12.4%	164	-0.76	3.36	178	78
Logan Taylor R 2018 · 4.79 FIP	26	SU	4.79	17.2%	12.1%	2.9%	.316	—	—	—	—	—	3.55	300	78
Grant Sides R 2015 · 3.96 FIP	26	SU	3.96	17.2%	13.2%	1.2%	.266	3.83	22.4%	10.5%	62	-0.13	3.31	159	78
Ross Wolf R 2010 · 3.95 FIP	27	SU	3.95	16.1%	8.9%	2.0%	.268	4.37	10.1%	3.3%	48	+0.42	3.43	179	78
Matt Wivinis R 2019 · 3.84 FIP	26	SU	3.84	19.5%	12.2%	1.5%	.262	5.95	14.5%	6.2%	17	+2.11	1.61	124	78
Confesor Lara R 2016 · 4.26 FIP	25	SU	4.26	16.4%	11.0%	2.1%	.329	—	—	—	—	—	3.74	111	78
Philip Humber R 2009 · 4.45 FIP	26	SU	4.45	18.0%	14.0%	2.0%	.450	4.14	17.6%	10.6%	287	-0.31	2.97	362	78

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.1	54	18.0%	11.9%	1.04	4.85
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Rich Loiselle ('01)	1.1	56	17.2%	12.0%	0.88	4.38
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*