Jose S. Mendoza — OGILVIE

Jose S. Mendoza P ACL White Sox

Age 23 RHP 6'2" / 175 lbs ROK peak 0.1 · 2028

2027 FULL-SEASON PROJECTION0 act + 6 ip · rates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 101

ERA4.43

FIP4.43

K%23.4%

BB%10.1%

K-BB%13.3%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 6 IP

Grades · Contract

Scouting Grades

K†5555

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)
2022	18	ROK MLE	DSL White Sox	18	3	39	171	47	20	4	17%	2.1	18.7%	14.6%	4.1%	2.7%	3.72	4.85	—
2022	18	ROK RAW	DSL White Sox	18	3	39	171	47	20	4	17%	2.1	27.5%	11.7%	15.8%	2.3%	3.72	3.57	—
2023	19	ROK MLE	ACL White Sox	3	0	3	12	2	2	0	0%	0.9	16.7%	16.7%	0.0%	0.0%	3.38	3.80	—
2023	19	ROK RAW	ACL White Sox	3	0	3	12	2	2	0	0%	0.9	16.7%	16.7%	0.0%	0.0%	3.38	3.85	—
2024	20	ROK MLE	ACL White Sox	7	0	11	50	17	6	1	0%	1.5	23.1%	15.0%	8.1%	2.6%	8.44	4.48	—
2024	20	ROK MLE	ACL White Sox	7	0	11	50	17	6	1	0%	1.5	23.1%	15.0%	8.1%	2.6%	8.44	4.48	—
2024	20	ROK RAW	ACL White Sox	7	0	11	50	17	6	1	0%	1.5	34.0%	12.0%	22.0%	2.0%	8.44	2.82	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	CWS	6	0	6	25	6	3	1	0%	1.0	23.4%	10.1%	13.3%	3.0%	4.43	4.43	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	CWS	19	0	20	84	20	8	3	0%	1.1	23.9%	9.5%	14.5%	3.0%	4.34	4.29	+0.1
2028	24	MLB CTX	CWS	9	0	9	38	9	4	1	0%	1.0	23.9%	9.5%	14.5%	3.0%	4.34	4.29	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	9	3	1	0%	1.1	23.9%	9.5%	14.5%	3.0%	4.34	3.91	+0.1
/ 200 IP	—	RAW		190	0	200	844	211	70	23	0%	1.1	23.9%	9.5%	14.5%	3.0%	4.34	3.91	+1.5
Career	—	MLE		28	3	52	233	46	34	6	11%	1.9	19.5%	14.8%	4.7%	2.5%	4.67	4.72	+0.1
/ 200 IP	—	MLE		108	12	200	896	175	133	23	11%	1.9	19.5%	14.8%	4.7%	2.5%	4.67	4.72	+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
Jose S. Mendoza (OGILVIE)	—	—	4.43	23.4%	10.1%	3.0%	—	4.29	23.9%	14.5%	20	-0.14	—	—	—
Michael Gomez R 2019 · 3.32 FIP	22	SU	3.32	22.6%	9.2%	1.8%	.283	3.81	17.9%	8.3%	110	+0.49	3.27	286	86
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	86
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	86
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	86
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	85
Peyton Williams R 2021 · 3.69 FIP	23	SU	3.69	22.3%	10.3%	2.1%	.311	4.82	22.2%	10.2%	100	+1.13	3.69	123	85
Tyler Bray R 2015 · 4.07 FIP	23	SU	4.07	22.3%	9.1%	3.1%	.356	3.21	17.9%	7.6%	114	-0.86	2.82	152	84
Stolmy Pimentel R 2014 · 4.13 FIP	24	SU	4.13	25.7%	9.5%	3.6%	.319	4.17	14.8%	4.3%	143	+0.04	3.87	176	84
Tyler Mitzel R 2019 · 4.34 FIP	23	SU	4.34	24.1%	12.0%	3.2%	.245	4.10	22.4%	14.3%	96	-0.24	4.03	142	83
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	83
Garrett Mock R 2008 · 3.57 FIP	25	SU	3.57	25.6%	11.1%	2.2%	.300	4.06	17.1%	7.4%	91	+0.49	3.57	132	83
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	83
Kyle Schepel R 2015 · 4.63 FIP	24	SU	4.63	23.1%	10.7%	3.9%	.233	3.64	22.1%	10.4%	120	-0.99	3.54	156	83
Jacob Dorris R 2016 · 4.16 FIP	23	SU	4.16	26.9%	12.4%	3.2%	.295	4.58	19.2%	8.8%	88	+0.42	4.16	130	82
Luis Romero R 2017 · 5.00 FIP	23	SU	5.00	22.1%	11.9%	4.1%	.367	4.26	21.6%	12.5%	132	-0.74	4.00	293	82
Jonathan Brand R 2023 · 3.95 FIP	23	SU	3.95	22.7%	10.8%	2.5%	.236	4.79	19.7%	9.4%	160	+0.84	3.34	198	82
Reilly Hovis R 2017 · 4.28 FIP	23	SU	4.28	21.1%	7.7%	3.6%	.250	4.36	19.8%	6.4%	50	+0.08	4.28	130	82
Nolan Clenney R 2021 · 3.73 FIP	25	SU	3.73	25.5%	8.4%	3.1%	.340	4.35	22.4%	13.7%	185	+0.62	3.73	223	82
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	82
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	82