Fleury Soriano

P DSL Cubs Blue

Age 22 RHP 5'10" / 170 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Cubs Blue	20	30	7.50	5.57	20.4%	15.6%	—	K 13.9% · BB 19.6% · FIP 7.23
2026	21	ROKDSL Cubs Blue	18	23	3.09	2.54	37.0%	16.0%	—	K 25.2% · BB 20.0% · FIP 4.28
2027PROJ	22	MLBCHC	14	15	5.47	5.47	22.2%	17.5%	-0.2
2028PROJ49% MLB	23	MLBCHC	13	14	5.17	5.05	23.0%	14.9%	-0.1

Next 2 projected WAR -0.2Projected 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 1% · didn't stick 97%

CompsBrandon Dufault (age 22) · Saul Teran (age 22) · Andrew Schultz (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.47

FIP5.47

K%22.2%

BB%17.5%

K-BB%4.6%

Proj IP15

Value2027 · WAR

Runs saved vs league avg · 15 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)
2025	20	ROK MLE	DSL Cubs Blue	20	0	30	147	30	23	5	0%	1.5	13.9%	19.6%	-5.7%	5.1%	7.50	7.23	—
2025	20	ROK MLE	DSL Cubs Blue	20	0	30	147	30	23	5	0%	1.5	13.9%	19.6%	-5.7%	5.1%	7.50	7.23	—
2025	20	ROK RAW	DSL Cubs Blue	20	0	30	147	30	23	5	0%	1.5	20.4%	15.6%	4.8%	3.4%	7.50	5.57	—
2026	21	ROK MLE	DSL Cubs Blue	18	0	23	100	37	16	1	0%	1.3	25.2%	20.0%	5.2%	1.4%	3.09	4.28	—
2026	21	ROK MLE	DSL Cubs Blue	18	0	23	100	37	16	1	0%	1.3	25.2%	20.0%	5.2%	1.4%	3.09	4.28	—
2026	21	ROK RAW	DSL Cubs Blue	18	0	23	100	37	16	1	0%	1.3	37.0%	16.0%	21.0%	1.0%	3.09	2.54	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	CHC	14	0	15	63	14	11	2	0%	1.1	22.2%	17.5%	4.6%	3.0%	5.47	5.47	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	CHC	27	0	28	118	27	18	3	0%	1.0	23.0%	14.9%	8.1%	3.0%	5.17	5.05	-0.2
2028	23	MLB CTX	CHC	13	0	14	59	14	9	2	0%	1.1	23.0%	14.9%	8.1%	3.0%	5.17	5.05	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	14	58	13	9	2	0%	1.1	23.0%	14.9%	8.1%	3.0%	5.17	4.67	-0.0
/ 200 IP	—	RAW		190	0	200	844	189	131	29	0%	1.1	23.0%	14.9%	8.1%	3.0%	5.17	4.67	-0.3
Career	—	MLE		38	0	53	247	46	49	9	0%	1.4	18.4%	19.7%	-1.3%	3.6%	5.57	6.03	-0.2
/ 200 IP	—	MLE		143	0	200	926	171	183	34	0%	1.4	18.4%	19.7%	-1.3%	3.6%	5.57	6.03	-1.2

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
Fleury Soriano (OGILVIE)	—	—	5.47	22.2%	17.5%	3.0%	—	5.05	23.0%	8.1%	28	-0.42	—	—	—
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	90
Saul Teran R 2024 · 5.21 FIP	22	SU	5.21	22.4%	18.8%	2.9%	.279	4.40	20.1%	10.7%	84	-0.81	2.28	166	90
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	90
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	90
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	89
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	89
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
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	88
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
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	87
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	87
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	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	87
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	87
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	86
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	86
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	86
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	85
Luis Ramirez R 2015 · 4.68 FIP	23	SU	4.68	23.1%	15.9%	2.8%	.278	3.71	24.0%	11.4%	53	-0.97	3.71	104	85
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	85