Mario Sosa

P DSL White Sox

Age 21 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	20	ROKCWS	12	13	6.92	2.41	35.8%	19.4%	—	K 24.4% · BB 24.3% · FIP 4.12
2027PROJ	21	MLBCWS	8	8	5.38	5.38	23.6%	18.0%	-0.1
2028PROJ49% MLB	22	MLBCWS	10	10	5.06	4.92	24.5%	15.2%	-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 97%

CompsIsaac Gallegos (age 21) · Andrew Schultz (age 22) · Jordy Luciano (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.38

FIP5.38

K%23.6%

BB%18.0%

K-BB%5.6%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 IP

Grades · Contract

Scouting Grades

K†5560

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	20	ROK MLE	DSL White Sox	12	0	13	67	24	13	0	0%	1.1	24.4%	24.3%	0.1%	0.0%	6.92	4.12	—
2026	20	ROK MLE	DSL White Sox	12	0	13	67	24	13	0	0%	1.1	24.4%	24.3%	0.1%	0.0%	6.92	4.12	—
2026	20	ROK RAW	DSL White Sox	12	0	13	67	24	13	0	0%	1.1	35.8%	19.4%	16.4%	0.0%	6.92	2.41	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	CWS	8	0	8	34	8	6	1	0%	1.0	23.6%	18.0%	5.6%	2.9%	5.38	5.38	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	CWS	19	0	20	84	21	13	2	0%	1.1	24.5%	15.2%	9.3%	2.9%	5.06	4.92	-0.1
2028	22	MLB CTX	CWS	10	0	10	42	10	6	1	0%	1.0	24.5%	15.2%	9.3%	2.9%	5.06	4.92	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	10	6	1	0%	1.1	24.5%	15.2%	9.3%	2.9%	5.06	4.54	+0.0
/ 200 IP	—	RAW		190	0	200	844	203	122	20	0%	1.1	24.5%	15.2%	9.3%	2.9%	5.06	4.54	+0.0
Career	—	MLE		12	0	13	67	16	16	0	0%	1.1	24.4%	24.3%	0.1%	0.0%	6.92	4.12	-0.1
/ 200 IP	—	MLE		185	0	200	1031	251	250	0	0%	1.1	24.4%	24.3%	0.1%	0.0%	6.92	4.12	-0.9

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
Mario Sosa (OGILVIE)	—	—	5.38	23.6%	18.0%	2.9%	—	4.92	24.5%	9.3%	20	-0.46	—	—	—
Isaac Gallegos R 2024 · 4.40 FIP	21	SU	4.40	22.9%	17.8%	1.8%	.267	3.09	19.9%	10.5%	106	-1.31	2.89	125	89
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	3.56	176	88
Jordy Luciano R 2022 · 4.97 FIP	21	SU	4.97	24.9%	22.3%	2.1%	.306	5.33	17.1%	-4.8%	80	+0.36	4.97	104	88
Daniel Procopio R 2017 · 4.33 FIP	21	SU	4.33	23.4%	18.8%	1.5%	.283	4.43	20.5%	6.5%	81	+0.10	4.16	103	88
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	86
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	86
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	85
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	85
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	85
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	84
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
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	83
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	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
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	83
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	83
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	83
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	83
Gabriel Ponce R 2021 · 4.62 FIP	22	SU	4.62	24.4%	16.2%	2.8%	.328	4.53	22.5%	7.8%	110	-0.09	4.45	161	82
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	82