Evan Da Souza

P DSL Marlins

Age 18 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKMIA	13	10	28	5.14	3.99	29.0%	25.4%	—	K 19.7% · BB 31.7% · FIP 5.45
2027PROJ	18	MLBMIA	3	3	17	5.73	5.73	22.1%	20.0%	-0.2
2028PROJ49% MLB	19	MLBMIA	2	2	13	5.39	5.26	22.6%	16.8%	-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 0% · didn't stick 96%

CompsEddy Peralta (age 20) · Chris Viall (age 20) · Jesus Rivero (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 142134vR 126

ERA5.73

FIP5.73

K%22.1%

BB%20.0%

K-BB%2.1%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 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)
2026	17	ROK MLE	DSL Marlins	13	10	28	138	40	35	0	77%	2.2	19.7%	31.7%	-12.0%	0.0%	5.14	5.45	—
2026	17	ROK MLE	DSL Marlins	13	10	28	138	40	35	0	77%	2.2	19.7%	31.7%	-12.0%	0.0%	5.14	5.45	—
2026	17	ROK RAW	DSL Marlins	13	10	28	138	40	35	0	77%	2.2	29.0%	25.4%	3.6%	0.0%	5.14	3.99	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	MIA	3	3	17	72	16	14	2	100%	5.7	22.1%	20.0%	2.1%	2.9%	5.73	5.73	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	MIA	5	5	26	112	25	19	3	100%	5.3	22.6%	16.8%	5.8%	2.8%	5.39	5.26	-0.1
2028	19	MLB CTX	MIA	2	2	13	55	12	9	2	100%	6.5	22.6%	16.8%	5.8%	2.8%	5.39	5.26	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	13	55	12	9	2	100%	4.3	22.6%	16.8%	5.8%	2.8%	5.39	4.88	+0.0
/ 200 IP	—	RAW		46	46	200	844	184	138	31	100%	4.3	22.6%	16.8%	5.8%	2.8%	5.39	4.88	+0.0
Career	—	MLE		13	10	28	138	27	44	0	77%	2.2	19.7%	31.7%	-12.0%	0.0%	5.14	5.45	-0.1
/ 200 IP	—	MLE		93	71	200	986	194	312	0	77%	2.2	19.7%	31.7%	-12.0%	0.0%	5.14	5.45	-0.8

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
Evan Da Souza (OGILVIE)	—	—	5.73	22.1%	20.0%	2.9%	—	5.26	22.6%	5.8%	26	-0.47	—	—	—
Eddy Peralta R 2023 · 4.65 FIP	20	SP-	4.65	22.0%	19.8%	1.6%	.342	3.96	21.0%	1.7%	86	-0.69	3.73	117	85
Chris Viall R 2016 · 5.86 FIP	20	SP-	5.86	18.9%	21.9%	2.9%	.314	5.06	21.3%	5.8%	88	-0.80	4.89	108	84
Jesus Rivero R 2021 · 5.42 FIP	18	SP-	5.42	21.7%	22.1%	2.5%	.224	4.35	21.7%	1.5%	117	-1.07	4.09	146	82
Rafael Ohashi R 2021 · 4.83 FIP	18	SP-	4.83	21.2%	23.2%	1.1%	.339	5.42	15.9%	2.4%	177	+0.59	4.67	203	82
Randry De Leon R 2023 · 6.45 FIP	18	SP-	6.45	17.7%	20.2%	4.2%	.308	4.83	18.4%	3.3%	123	-1.62	4.37	153	81
Janser Lara R 2016 · 5.61 FIP	19	SP-	5.61	20.1%	17.3%	3.7%	.354	5.04	17.9%	4.8%	118	-0.57	2.84	220	80
Edgar Isea R 2022 · 5.51 FIP	19	SP-	5.51	19.3%	20.3%	2.7%	.371	5.19	21.4%	-4.1%	98	-0.32	4.50	162	79
Justin Lange R 2021 · 4.55 FIP	19	SP	4.55	19.3%	18.4%	1.4%	.298	4.81	23.4%	3.7%	122	+0.26	4.55	144	79
Keegan Zinn R 2024 · 6.40 FIP	19	SP-	6.40	19.1%	19.5%	4.4%	.318	5.80	19.0%	-1.9%	112	-0.60	4.88	145	77
Jace Beck R 2021 · 5.13 FIP	21	SP-	5.13	21.1%	23.7%	1.5%	.347	5.32	25.7%	2.8%	50	+0.19	4.03	216	77
Jaydenn Estanista R 2021 · 4.72 FIP	19	SP-	4.72	18.1%	19.2%	1.3%	.254	5.35	21.0%	2.6%	109	+0.63	4.59	230	76
Peter Heubeck R 2022 · 6.70 FIP	20	SP	6.70	21.9%	20.8%	5.1%	.221	4.52	22.2%	6.6%	243	-2.18	4.08	294	76
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	75
Jose Pena Jr. R 2022 · 5.48 FIP	19	SP-	5.48	15.0%	18.7%	2.3%	.269	4.62	19.2%	3.1%	124	-0.86	3.48	176	75
Jefferson Jean R 2024 · 6.45 FIP	19	SP-	6.45	18.3%	21.5%	4.0%	.311	4.79	16.9%	-0.3%	87	-1.66	4.79	132	75
Miguel Ullola R 2021 · 4.90 FIP	19	SP-	4.90	24.4%	24.8%	1.3%	.239	4.54	24.8%	7.6%	290	-0.36	3.87	511	75
Lisandro Almonte R 2021 · 4.89 FIP	19	SP-	4.89	16.3%	16.4%	2.0%	.298	4.93	19.6%	4.9%	78	+0.04	3.81	128	75
Omar Gonzalez R 2023 · 5.10 FIP	18	SP	5.10	24.3%	24.6%	1.7%	.375	5.69	15.1%	-2.0%	106	+0.59	2.25	137	75
Jordany Chirinos R 2024 · 4.89 FIP	18	SP-	4.89	16.2%	18.6%	1.4%	.312	5.29	12.2%	-5.4%	46	+0.40	3.40	126	75
Waylin Santana R 2021 · 5.12 FIP	18	SP	5.12	15.1%	15.0%	2.5%	.377	6.18	13.5%	1.0%	94	+1.06	4.88	117	75