Snarlyn Evangelista prospect projection, MLE, ETA

Snarlyn Evangelista P DSL Tigers 2

Age 21 RHP 6'0" / 175 lbs ROK peak 0.1 · 2027

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 14 proj IP

wRC+ AGAINSTvL 117109vR 101

ERA4.41

FIP4.41

K%22.4%

BB%9.6%

K-BB%12.9%

ROS IP14

Value2026 · WAR

Runs saved vs league avg · 14 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 + 2026 so far)
2023	18	ROK MLE	DSL Rangers Blue	14	0	26	123	23	11	1	0%	1.8	12.7%	11.2%	1.5%	1.0%	6.66	3.97	—
2023	18	ROK MLE	DSL Rangers Blue	14	0	26	123	23	11	1	0%	1.8	12.7%	11.2%	1.5%	1.0%	6.66	3.97	—
2023	18	ROK RAW	DSL Rangers Blue	14	0	26	123	23	11	1	0%	1.8	18.7%	8.9%	9.8%	0.8%	6.66	3.10	—
2024	19	ROK MLE	DSL Tigers 2	20	0	23	82	26	6	0	0%	1.1	21.6%	9.1%	12.4%	0.0%	1.96	2.44	—
2024	19	ROK MLE	DSL Tigers 2	20	0	23	82	26	6	0	0%	1.1	21.6%	9.1%	12.4%	0.0%	1.96	2.44	—
2024	19	ROK RAW	DSL Tigers 2	20	0	23	82	26	6	0	0%	1.1	31.7%	7.3%	24.4%	0.0%	1.96	1.62	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	21	MLB	TEX	—	—	0	—	—	—	—	—	—	22.4%	9.6%	12.9%	3.0%	4.41	4.41	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	22	MLB MLE	TEX	21	0	22	92	21	8	3	0%	1.0	23.4%	8.9%	14.5%	2.9%	4.30	4.22	+0.1
2027	22	MLB CTX	TEX	10	0	11	46	11	4	1	0%	1.1	23.4%	8.9%	14.5%	2.9%	4.30	4.22	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	45	11	4	1	0%	1.1	23.4%	8.9%	14.5%	2.9%	4.30	3.84	+0.1
/ 200 IP	—	RAW		190	0	200	844	206	75	19	0%	1.1	23.4%	8.9%	14.5%	2.9%	4.30	3.84	+1.7
Career	—	MLE		34	0	49	205	33	21	1	0%	1.4	16.3%	10.4%	5.9%	0.6%	4.44	3.36	+0.1
/ 200 IP	—	MLE		140	0	200	842	137	87	5	0%	1.4	16.3%	10.4%	5.9%	0.6%	4.44	3.36	+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
Snarlyn Evangelista (OGILVIE)	—	—	4.41	22.4%	9.6%	3.0%	—	4.22	23.4%	14.5%	22	-0.19	—	—	—
Sandy Lugo R 2015 · 3.86 FIP	21	SU	3.86	20.7%	9.5%	2.4%	.352	3.98	23.6%	12.5%	119	+0.12	3.48	146	89
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	89
Jorge Julio R 2001 · 3.48 FIP	22	SU	3.48	22.2%	9.1%	2.0%	.348	4.31	20.4%	10.1%	199	+0.83	3.48	467	88
Kenny Oakley R 2016 · 3.50 FIP	22	SU	3.50	23.8%	9.1%	2.3%	.348	3.87	17.3%	7.8%	115	+0.37	3.13	144	88
Collin Kober R 2017 · 3.39 FIP	22	SU	3.39	21.3%	7.5%	2.1%	.268	2.76	24.0%	17.9%	128	-0.63	2.38	294	88
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	88
Addison Russ R 2017 · 3.62 FIP	22	SU	3.62	22.2%	7.9%	2.5%	.324	3.09	25.6%	17.5%	121	-0.53	3.08	194	88
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	88
Danny Dopico R 2015 · 3.87 FIP	21	SU	3.87	25.4%	10.8%	2.8%	.333	3.90	22.8%	8.1%	173	+0.03	3.00	318	88
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	87
Nick Lockhart R 2022 · 4.44 FIP	21	SU	4.44	22.0%	9.9%	3.5%	.275	4.63	16.1%	5.5%	43	+0.19	4.44	140	87
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	87
Devon Roedahl R 2019 · 3.94 FIP	22	SU	3.94	19.7%	6.7%	3.0%	.305	4.64	16.5%	9.2%	100	+0.70	3.94	122	87
Caleb Freeman R 2019 · 3.98 FIP	21	SU	3.98	24.6%	12.9%	2.4%	.267	5.15	21.7%	8.1%	58	+1.17	3.98	225	86
Mason Fox R 2018 · 3.59 FIP	21	SU	3.59	21.9%	11.5%	1.6%	.260	6.72	21.3%	4.8%	30	+3.13	3.59	112	86
Jeff Bain R 2017 · 3.94 FIP	21	SU	3.94	19.7%	6.7%	3.0%	.339	4.22	19.1%	10.7%	274	+0.28	3.35	475	86
Sean Boyle R 2018 · 4.70 FIP	21	SU	4.70	21.3%	7.8%	4.4%	.342	2.87	22.6%	15.3%	86	-1.83	2.87	548	86
Max Gieg R 2022 · 5.10 FIP	21	SU	5.10	21.1%	11.8%	4.2%	.317	4.65	20.4%	2.3%	92	-0.45	3.98	149	86
Scott Williams R 2015 · 3.39 FIP	21	SU	3.39	22.0%	8.6%	1.9%	.238	3.73	19.3%	10.5%	76	+0.34	2.89	119	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	85