Yaya Chentouf prospect projection, MLE, ETA

Yaya Chentouf P Erie SeaWolves

Age 29 RHP 5'9" / 205 lbs AA

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 17 proj IP

wRC+ AGAINSTvL 125117vR 108

ERA4.82

FIP4.82

K%20.2%

BB%11.1%

K-BB%9.1%

ROS IP17

Value2026 · WAR

Runs saved vs league avg · 17 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)
2018	21	ROK MLE	GCL Tigers West	1	0	4	13	7	0	0	0%	3.7	53.8%	0.0%	53.8%	0.0%	0.00	-1.45	—
2018	21	ROK RAW	GCL Tigers West	1	0	4	13	7	0	0	0%	3.7	53.8%	0.0%	53.8%	0.0%	0.00	-0.72	—
2019	22	A MLE	West Michigan Whitecaps	43	0	79	342	54	19	2	0%	1.8	11.7%	6.6%	5.1%	0.8%	3.86	3.41	—
2019	22	A RAW	West Michigan Whitecaps	43	0	79	342	54	19	2	0%	1.8	15.8%	5.6%	10.2%	0.6%	3.86	2.78	—
2021	24	MIX MLE	2 levels	34	0	59	245	57	26	7	0%	1.7	18.6%	11.8%	6.8%	3.2%	3.22	4.80	—
2021	24	MIX RAW	2 levels	34	0	59	245	57	26	7	0%	1.7	23.3%	10.6%	12.7%	2.9%	3.22	4.04	—
2022	25	AA MLE	Erie SeaWolves	49	0	58	243	65	15	7	0%	1.2	21.7%	6.8%	14.9%	3.7%	2.97	4.18	—
2022	25	AA RAW	Erie SeaWolves	49	0	58	243	65	15	7	0%	1.2	26.7%	6.2%	20.6%	2.9%	2.97	3.20	—
2023	26	MIX MLE	2 levels	25	0	34	164	29	21	3	0%	1.3	13.0%	14.8%	-1.7%	2.3%	6.95	5.13	—
2023	26	MIX MLE	2 levels	25	0	34	164	29	21	3	0%	1.3	13.0%	14.8%	-1.7%	2.3%	6.95	5.13	—
2023	26	MIX RAW	2 levels	25	0	34	164	29	21	3	0%	1.3	17.7%	12.8%	4.9%	1.8%	6.95	4.41	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	29	MLB	DET	—	—	0	—	—	—	—	—	—	20.2%	11.1%	9.1%	3.0%	4.82	4.82	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	DET	19	0	20	84	17	9	3	0%	1.1	20.2%	11.2%	8.9%	3.2%	4.87	4.94	-0.1
2027	30	MLB CTX	DET	6	0	6	25	5	3	1	0%	1.0	20.2%	11.2%	8.9%	3.2%	4.87	4.94	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	5	3	1	0%	1.0	20.2%	11.2%	9.0%	3.2%	4.87	4.56	-0.0
/ 200 IP	—	RAW		190	0	200	844	160	96	32	0%	1.1	20.2%	11.2%	9.0%	3.2%	4.87	4.56	-0.0
Career	—	MLE		152	0	233	1007	167	92	24	0%	1.5	16.5%	9.1%	7.4%	2.4%	3.86	4.15	-0.1
/ 200 IP	—	MLE		130	0	200	864	143	79	20	0%	1.5	16.5%	9.1%	7.4%	2.4%	3.86	4.15	-0.9

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
Yaya Chentouf (OGILVIE)	—	—	4.82	20.2%	11.1%	3.0%	—	4.94	20.2%	8.9%	20	+0.12	—	—	—
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	89
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	87
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	84
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	83
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	82
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	82
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	82
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	81
Brian Sanches R 2008 · 4.74 FIP	29	SU	4.74	18.5%	9.3%	3.7%	.378	4.01	20.5%	10.8%	182	-0.73	3.39	229	81
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	80
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	80
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	79
Carlos Fisher R 2011 · 4.33 FIP	28	SU	4.33	15.5%	9.1%	2.5%	.275	—	—	—	—	—	2.48	245	79
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	78
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	78
Ronald Peña R 2021 · 4.49 FIP	29	SU	4.49	16.5%	10.4%	2.7%	.288	—	—	—	—	—	3.72	187	78
Kevin Gryboski R 2003 · 3.67 FIP	29	SU	3.67	16.8%	8.9%	1.6%	.295	3.92	9.4%	0.2%	82	+0.25	3.67	178	77
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	77
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	77
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	77