Jordarlin Mendoza

Jordarlin Mendoza P Tampa Tarpons

Age 22 RHP 6'0" / 175 lbs A

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 8 proj IP

wRC+ AGAINSTvL 140131vR 123

ERA5.60

FIP5.60

K%20.7%

BB%17.6%

K-BB%3.1%

ROS IP8

Value2026 · WAR

Runs saved vs league avg · 8 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)
2021	17	ROK MLE	DSL Yankees 2	1	0	2	9	3	1	0	0%	2.0	33.3%	11.1%	22.2%	0.0%	0.00	1.69	—
2021	17	ROK RAW	DSL Yankees 2	1	0	2	9	3	1	0	0%	2.0	33.3%	11.1%	22.2%	0.0%	0.00	1.60	—
2022	18	ROK MLE	DSL NYY Yankees	13	12	55	225	77	19	3	92%	4.2	23.3%	10.6%	12.7%	1.6%	2.95	3.33	—
2022	18	ROK RAW	DSL NYY Yankees	13	12	55	225	77	19	3	92%	4.2	34.2%	8.4%	25.8%	1.3%	2.95	2.05	—
2023	19	ROK MLE	FCL Yankees	10	0	29	129	39	24	2	0%	2.9	20.6%	23.3%	-2.7%	1.6%	4.40	5.17	—
2023	19	ROK MLE	FCL Yankees	10	0	29	129	39	24	2	0%	2.9	20.6%	23.3%	-2.7%	1.6%	4.40	5.17	—
2023	19	ROK RAW	FCL Yankees	10	0	29	129	39	24	2	0%	2.9	30.2%	18.6%	11.6%	1.6%	4.40	3.80	—
2024	20	ROK MLE	FCL Yankees	5	2	14	74	24	11	1	40%	2.9	22.1%	18.6%	3.5%	1.7%	3.14	4.50	—
2024	20	ROK MLE	FCL Yankees	5	2	14	74	24	11	1	40%	2.9	22.1%	18.6%	3.5%	1.7%	3.14	4.50	—
2024	20	ROK RAW	FCL Yankees	5	2	14	74	24	11	1	40%	2.9	32.4%	14.9%	17.6%	1.4%	3.14	2.96	—
2025	21	MIX MLE	2 levels	12	2	15	80	13	14	1	17%	1.3	14.0%	22.3%	-8.3%	2.9%	6.46	6.34	—
2025	21	MIX MLE	2 levels	12	2	15	80	13	14	1	17%	1.3	14.0%	22.3%	-8.3%	2.9%	6.46	6.34	—
2025	21	MIX RAW	2 levels	12	2	15	80	13	14	1	17%	1.3	16.2%	17.5%	-1.2%	1.2%	6.46	4.99	—
▸ 2026 season
YTD	22	A MLE	Tampa Tarpons	37	0	38	191	49	27	6	0%	1.0	19.0%	16.7%	2.3%	4.1%	8.05	5.85	—
YTD	22	A MLE	Tampa Tarpons	37	0	38	191	49	27	6	0%	1.0	19.0%	16.7%	2.3%	4.1%	8.05	5.85	—
▸ 2026 season — so far · projected rest · full
2026	22	A RAW	NYY	37	0	38	191	49	27	6	0%	1.0	25.7%	14.1%	11.5%	3.1%	8.05	4.45	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	NYY	37	0	39	163	35	24	5	0%	1.0	21.7%	15.0%	6.7%	2.9%	5.28	5.15	-0.3
2027	23	MLB CTX	NYY	18	0	19	80	17	12	2	0%	1.1	21.7%	15.0%	6.7%	2.9%	5.28	5.15	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		18	0	19	80	17	12	2	0%	1.1	21.7%	15.0%	6.7%	2.9%	5.28	4.77	-0.1
/ 200 IP	—	RAW		190	0	200	844	179	126	21	0%	1.1	21.7%	15.0%	6.7%	2.9%	5.28	4.77	-0.5
Career	—	MLE		78	16	153	708	146	118	17	21%	2.0	20.6%	16.7%	3.9%	2.4%	4.81	4.79	-0.3
/ 200 IP	—	MLE		102	21	200	923	190	154	22	21%	2.0	20.6%	16.7%	3.9%	2.4%	4.81	4.79	-1.4

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
Jordarlin Mendoza (OGILVIE)	—	—	5.60	20.7%	17.6%	3.0%	—	5.15	21.7%	6.7%	39	-0.45	—	—	—
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.79	29.0%	15.6%	152	-1.12	3.38	209	87
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	87
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.10	167	86
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	86
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.17	18.2%	4.9%	93	-0.19	3.20	213	85
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	85
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	85
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	84
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	83
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	83
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	83
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	83
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	83
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	83
Blake Holub R 2022 · 4.55 FIP	23	SU	4.55	21.7%	15.3%	2.4%	.339	3.76	23.1%	12.3%	156	-0.79	3.23	254	82
Audry Lugo R 2021 · 4.82 FIP	22	SU	4.82	17.6%	15.8%	2.2%	.333	5.76	13.7%	-2.6%	39	+0.94	4.05	113	82
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	82
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	82
Osiel Rodriguez R 2023 · 4.82 FIP	21	SU	4.82	22.7%	15.7%	3.0%	.263	5.62	22.0%	7.6%	56	+0.80	3.38	124	82
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	82