Jhoiner Mayora

P DSL Padres Brown

Age 17 LHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	16	ROKDSL Padres Br…	7	2	12	6.17	3.19	21.7%	15.0%	—	K 14.7% · BB 18.8% · FIP 4.23
2027PROJ	17	MLBSD	7	0	7	5.10	5.10	21.7%	14.5%	-0.0
2028PROJ49% MLB	18	MLBSD	10	0	10	4.89	4.81	22.3%	12.8%	-0.0

Next 2 projected WAR -0.1Projected 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%

CompsJesus Gomez (age 17) · Daniel Juarez (age 18) · Juan Diaz (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114122vR 130

ERA5.10

FIP5.10

K%21.7%

BB%14.5%

K-BB%7.2%

Proj IP7

Value2027 · WAR

Runs saved vs league avg · 7 IP

Grades · Contract

Scouting Grades

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)
2026	16	ROK MLE	DSL Padres Brown	7	2	12	60	13	9	0	29%	1.7	14.7%	18.8%	-4.0%	0.0%	6.17	4.23	—
2026	16	ROK MLE	DSL Padres Brown	7	2	12	60	13	9	0	29%	1.7	14.7%	18.8%	-4.0%	0.0%	6.17	4.23	—
2026	16	ROK RAW	DSL Padres Brown	7	2	12	60	13	9	0	29%	1.7	21.7%	15.0%	6.7%	0.0%	6.17	3.19	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	17	MLB	SD	7	0	7	30	6	4	1	0%	1.0	21.7%	14.5%	7.2%	2.9%	5.10	5.10	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	18	MLB MLE	SD	19	0	20	84	19	11	2	0%	1.1	22.3%	12.8%	9.5%	2.9%	4.89	4.81	-0.1
2028	18	MLB CTX	SD	10	0	10	42	9	5	1	0%	1.0	22.3%	12.8%	9.5%	2.9%	4.89	4.81	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	5	1	0%	1.1	22.3%	12.8%	9.5%	2.9%	4.89	4.43	+0.0
/ 200 IP	—	RAW		190	0	200	844	183	102	20	0%	1.1	22.3%	12.8%	9.5%	2.9%	4.89	4.43	+0.3
Career	—	MLE		7	2	12	60	9	11	0	29%	1.7	14.7%	18.8%	-4.0%	0.0%	6.17	4.23	-0.1
/ 200 IP	—	MLE		120	34	200	1029	152	193	0	29%	1.7	14.7%	18.8%	-4.0%	0.0%	6.17	4.23	-0.6

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
Jhoiner Mayora (OGILVIE)	—	—	5.10	21.7%	14.5%	2.9%	—	4.81	22.3%	9.5%	20	-0.29	—	—	—
Jesus Gomez L 2018 · 4.22 FIP	17	SW	4.22	22.3%	17.1%	1.5%	.312	4.90	20.8%	7.8%	77	+0.68	4.22	121	79
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	76
Juan Diaz L 2017 · 3.96 FIP	19	SW	3.96	17.5%	14.4%	0.9%	.239	3.00	16.8%	9.8%	43	-0.96	3.00	100	75
Christofer Dominguez L 2017 · 4.03 FIP	17	SU	4.03	17.8%	10.6%	2.0%	.367	3.92	15.5%	4.0%	59	-0.11	3.92	113	75
Welinton Herrera L 2021 · 3.94 FIP	17	SU	3.94	19.8%	14.3%	1.3%	.286	2.75	24.3%	12.8%	127	-1.19	2.28	237	74
Peter Bonilla L 2022 · 4.55 FIP	17	SU	4.55	19.7%	10.7%	3.2%	.260	4.88	19.1%	-1.3%	73	+0.33	4.27	134	74
Jeremy Peguero L 2021 · 4.63 FIP	19	SW	4.63	17.3%	17.2%	1.5%	.345	4.08	20.1%	0.6%	87	-0.55	3.52	126	73
Jonas Uzcategui L 2022 · 5.62 FIP	17	SU	5.62	18.8%	25.0%	1.7%	.333	6.01	18.9%	-14.3%	32	+0.39	4.53	104	73
Nelmerson Xavier Angela L 2015 · 4.43 FIP	17	SU	4.43	16.7%	11.0%	2.5%	.243	3.32	14.7%	6.1%	107	-1.11	2.95	120	72
Luis Torres L 2022 · 4.13 FIP	17	SU	4.13	17.5%	15.6%	1.0%	.192	3.48	23.0%	9.0%	72	-0.65	2.76	103	72
Geury Rodriguez L 2022 · 4.46 FIP	17	SU	4.46	21.0%	18.6%	1.4%	.450	3.48	23.2%	8.6%	59	-0.98	2.39	126	71
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	71
Wilker Reyes L 2019 · 4.90 FIP	17	SW	4.90	13.6%	15.9%	1.7%	.284	4.07	15.7%	5.0%	63	-0.83	3.76	237	70
Denny Martinez L 2015 · 4.06 FIP	18	SU	4.06	15.0%	12.8%	1.1%	.294	2.86	19.0%	11.2%	94	-1.20	2.21	124	70
Julio Robaina L 2018 · 4.72 FIP	17	SW	4.72	15.6%	18.0%	1.2%	.288	3.11	20.9%	11.0%	106	-1.61	2.72	453	70
Gregori Louis L 2022 · 5.03 FIP	19	SU	5.03	25.4%	13.1%	4.4%	.364	4.96	19.1%	2.9%	89	-0.07	3.58	149	70
Steven Pérez L 2018 · 4.90 FIP	17	SP-	4.90	14.9%	16.8%	1.7%	.308	4.50	15.4%	3.7%	96	-0.40	3.71	358	70
Stanly Sabino L 2016 · 3.97 FIP	18	SU	3.97	15.2%	12.6%	1.0%	.247	4.24	17.8%	2.3%	80	+0.27	3.30	114	69
Nate Bertness L 2015 · 4.53 FIP	19	SW	4.53	13.9%	11.4%	2.1%	.396	4.65	14.2%	2.8%	291	+0.12	3.78	382	69
Fredderi Soto L 2015 · 4.04 FIP	17	SU	4.04	16.2%	11.4%	1.6%	.379	4.34	7.8%	-1.0%	92	+0.30	3.09	111	69