Yowander Mercedes

P DSL Tigers 1

Age 22 LHP 6'5" / 185 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Tigers 2	14	17	11.12	7.57	19.8%	29.7%	—	K 13.5% · BB 37.1% · FIP 8.12
2026	21	ROKDSL Tigers 1	16	15	14.09	7.47	27.4%	32.6%	—	K 18.6% · BB 40.8% · FIP 8.31
2027PROJ	22	MLBDET	10	10	5.88	5.88	21.0%	20.0%	-0.1
2028PROJ49% MLB	23	MLBDET	10	10	5.51	5.37	21.9%	16.7%	-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%

CompsDillon Larsen (age 24) · Jackson Lancaster (age 24) · Austin Hamilton (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129137vR 145

ERA5.88

FIP5.88

K%21.0%

BB%20.0%

K-BB%1.0%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 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	20	ROK MLE	DSL Tigers 2	14	0	17	101	20	30	2	0%	1.2	13.5%	37.1%	-23.7%	2.6%	11.12	8.12	—
2025	20	ROK MLE	DSL Tigers 2	14	0	17	101	20	30	2	0%	1.2	13.5%	37.1%	-23.7%	2.6%	11.12	8.12	—
2025	20	ROK RAW	DSL Tigers 2	14	0	17	101	20	30	2	0%	1.2	19.8%	29.7%	-9.9%	2.0%	11.12	7.57	—
2026	21	ROK MLE	DSL Tigers 1	16	0	15	95	26	31	2	0%	1.0	18.6%	40.8%	-22.2%	2.9%	14.09	8.31	—
2026	21	ROK MLE	DSL Tigers 1	16	0	15	95	26	31	2	0%	1.0	18.6%	40.8%	-22.2%	2.9%	14.09	8.31	—
2026	21	ROK RAW	DSL Tigers 1	16	0	15	95	26	31	2	0%	1.0	27.4%	32.6%	-5.3%	2.1%	14.09	7.47	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	DET	10	0	10	42	9	8	1	0%	1.0	21.0%	20.0%	1.0%	3.0%	5.88	5.88	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	DET	19	0	20	84	19	14	2	0%	1.1	21.9%	16.7%	5.2%	2.9%	5.51	5.37	-0.2
2028	23	MLB CTX	DET	10	0	10	42	9	7	1	0%	1.0	21.9%	16.7%	5.2%	2.9%	5.51	5.37	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	7	1	0%	1.1	21.9%	16.7%	5.2%	2.9%	5.51	4.98	-0.1
/ 200 IP	—	RAW		190	0	200	844	183	142	20	0%	1.1	21.9%	16.7%	5.2%	2.9%	5.51	4.98	-1.0
Career	—	MLE		30	0	32	196	31	76	5	0%	1.1	16.0%	38.9%	-22.9%	2.8%	12.53	8.21	-0.2
/ 200 IP	—	MLE		186	0	200	1212	193	472	34	0%	1.1	16.0%	38.9%	-22.9%	2.8%	12.53	8.21	-1.9

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
Yowander Mercedes (OGILVIE)	—	—	5.88	21.0%	20.0%	3.0%	—	5.37	21.9%	5.2%	20	-0.51	—	—	—
Dillon Larsen L 2022 · 5.90 FIP	24	SU	5.90	21.7%	21.6%	3.5%	.277	4.65	18.0%	-4.1%	91	-1.25	4.04	120	88
Jackson Lancaster L 2023 · 5.14 FIP	24	SU	5.14	18.9%	17.6%	2.6%	.315	5.15	19.7%	6.8%	122	+0.01	4.15	142	88
Austin Hamilton L 2017 · 4.92 FIP	23	SU	4.92	17.0%	15.6%	2.3%	.329	4.20	16.3%	8.9%	109	-0.72	4.02	135	84
Triston Polley L 2021 · 4.88 FIP	24	SU	4.88	22.3%	20.0%	2.1%	.361	4.77	18.5%	5.2%	136	-0.11	4.15	151	84
Brendan Nail L 2019 · 4.88 FIP	23	SU	4.88	23.8%	16.4%	3.1%	.305	3.83	26.2%	15.2%	87	-1.05	3.45	165	83
Gil Luna L 2023 · 5.37 FIP	24	SU	5.37	22.5%	24.5%	1.9%	.303	4.95	19.7%	-6.0%	73	-0.42	4.57	113	83
Jeff Belge L 2021 · 4.91 FIP	23	SU	4.91	24.0%	18.8%	2.7%	.343	3.68	24.2%	10.4%	131	-1.23	3.30	175	83
Felix Polanco L 2022 · 5.19 FIP	22	SU	5.19	18.7%	19.9%	2.1%	.290	3.68	18.8%	12.8%	27	-1.51	3.68	105	82
Angel Hernandez L 2022 · 5.53 FIP	22	SU	5.53	23.4%	21.0%	3.2%	.262	4.36	21.2%	1.6%	123	-1.17	3.33	182	81
Julian Bosnic L 2023 · 5.72 FIP	23	SU	5.72	22.5%	21.0%	3.4%	.206	4.74	19.1%	-0.1%	90	-0.98	4.31	136	81
Jordan Norberto L 2010 · 6.32 FIP	23	SU	6.32	16.0%	22.3%	3.2%	.236	3.89	21.7%	12.3%	52	-2.43	3.89	117	80
Jeff Wallace L 2000 · 5.61 FIP	24	SU	5.61	14.6%	17.8%	2.7%	.308	4.73	16.9%	0.5%	50	-0.88	2.51	137	79
Christian Chamberlain L 2022 · 6.42 FIP	23	SU	6.42	23.4%	21.7%	4.6%	.330	4.12	24.1%	5.4%	99	-2.30	3.91	148	78
Matt Minnick L 2019 · 5.59 FIP	23	SU	5.59	17.2%	14.1%	3.9%	.302	4.67	23.5%	12.1%	105	-0.92	3.81	147	78
Max Herrmann L 2017 · 5.09 FIP	24	SU	5.09	15.0%	17.9%	1.8%	.333	4.37	12.2%	0.8%	152	-0.72	3.93	168	78
Francis Beriguete L 2021 · 6.05 FIP	21	SU	6.05	20.8%	27.7%	2.2%	.300	—	—	—	—	—	3.40	101	76
Bryan King L 2021 · 5.20 FIP	24	SU	5.20	17.4%	17.8%	2.4%	.317	2.82	24.4%	14.9%	77	-2.38	2.41	244	76
Reymin Guduan L 2015 · 4.85 FIP	23	SU	4.85	20.9%	18.8%	2.1%	.319	3.78	23.0%	10.3%	160	-1.07	3.60	268	76
Ramon Perez L 2021 · 4.98 FIP	22	SU	4.98	19.9%	17.9%	2.4%	.290	3.08	28.9%	14.2%	31	-1.90	3.08	199	76
Destin Dotson L 2022 · 5.84 FIP	22	SU	5.84	23.0%	19.9%	4.0%	.294	—	—	—	—	—	2.90	113	76