Jordarlin Mendoza

P Tampa Tarpons

Age 23 RHP 6'0" / 175 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	ROKNYY	5	2	14	3.14	2.96	32.4%	14.9%	—	K 22.1% · BB 18.6% · FIP 4.50
2025	21	MIX2 levels	12	2	15	6.46	4.99	16.2%	17.5%	—	K 14.0% · BB 22.3% · FIP 6.34
2026	22	ANYY	37	0	38	8.05	4.71	25.7%	14.1%	—	K 19.0% · BB 16.7% · FIP 5.85
2027PROJ	23	MLBNYY	15	0	16	5.50	5.50	20.2%	16.0%	-0.2
2028PROJ43% MLB	24	MLBNYY	14	0	15	5.23	5.13	21.2%	13.9%	-0.1

Next 2 projected WAR -0.3Projected 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 99%

CompsJunior Rincon (age 23) · James Acuna (age 23) · Blake Holub (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138129vR 121

ERA5.50

FIP5.50

K%20.2%

BB%16.0%

K-BB%4.2%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 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)
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 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	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	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	22	A RAW	Tampa Tarpons	37	0	38	191	49	27	6	0%	1.0	25.7%	14.1%	11.5%	3.1%	8.05	4.71	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	NYY	15	0	16	68	14	11	2	0%	1.1	20.2%	16.0%	4.2%	3.1%	5.50	5.50	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	NYY	33	0	35	148	31	21	5	0%	1.1	21.2%	13.9%	7.3%	3.1%	5.23	5.13	-0.2
2028	24	MLB CTX	NYY	14	0	15	63	13	9	2	0%	1.1	21.2%	13.9%	7.3%	3.1%	5.23	5.13	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	63	13	9	2	0%	1.1	21.2%	13.9%	7.3%	3.1%	5.23	4.75	-0.0
/ 200 IP	—	RAW		190	0	200	844	173	120	27	0%	1.1	21.2%	13.9%	7.3%	3.1%	5.23	4.75	-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	-0.2
/ 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	-1.3

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)	—	—	5.50	20.2%	16.0%	3.1%	—	5.13	21.2%	7.3%	35	-0.37	—	—	—
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	89
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	88
Blake Holub R 2022 · 4.55 FIP	23	SU	4.55	21.7%	15.3%	2.4%	.339	3.73	23.4%	12.7%	156	-0.82	3.22	258	87
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	87
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	87
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	86
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	86
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	85
Hunter Parsons R 2021 · 5.38 FIP	24	SU	5.38	21.4%	15.3%	3.9%	.247	4.78	21.8%	10.2%	115	-0.60	4.73	183	85
Grayson Thurman R 2023 · 4.63 FIP	24	SU	4.63	19.5%	14.1%	2.5%	.319	4.85	19.9%	10.5%	87	+0.22	4.58	132	83
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	83
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	83
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	83
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	83
Sal Biasi R 2019 · 5.22 FIP	23	SU	5.22	20.1%	15.8%	3.3%	.295	7.66	15.3%	-0.2%	23	+2.44	4.68	188	82
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	82
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	82
Carson Hobbs R 2024 · 5.63 FIP	22	SU	5.63	18.9%	13.6%	4.4%	.303	3.97	22.0%	10.4%	118	-1.66	3.54	143	82
Willian Suarez R 2021 · 5.23 FIP	23	SU	5.23	20.4%	17.3%	3.0%	.329	5.13	25.4%	9.5%	128	-0.10	3.99	219	82
Alec Barger R 2021 · 4.55 FIP	23	SW	4.55	21.7%	13.6%	2.8%	.289	4.17	21.3%	9.4%	148	-0.38	3.85	242	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.3	26	20.9%	14.6%	1.19	5.32
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*