Anllelo Gutierrez

P DSL Angels

Age 18 LHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKLAA	13	16	13.78	7.02	10.9%	16.3%	—	K 7.4% · BB 20.4% · FIP 7.56
2027PROJ	18	MLBLAA	10	10	5.63	5.63	19.1%	16.6%	-0.1
2028PROJ49% MLB	19	MLBLAA	10	10	5.33	5.22	20.2%	14.3%	-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 100%

CompsCD Pelham (age 20) · Yensy Bello (age 19) · Boone Logan (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124132vR 140

ERA5.63

FIP5.63

K%19.1%

BB%16.6%

K-BB%2.5%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

K†4550

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 Angels	13	0	16	92	10	15	3	0%	1.3	7.4%	20.4%	-13.0%	4.6%	13.78	7.56	—
2026	17	ROK MLE	DSL Angels	13	0	16	92	10	15	3	0%	1.3	7.4%	20.4%	-13.0%	4.6%	13.78	7.56	—
2026	17	ROK RAW	DSL Angels	13	0	16	92	10	15	3	0%	1.3	10.9%	16.3%	-5.4%	3.3%	13.78	7.02	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	LAA	10	0	10	42	8	7	1	0%	1.0	19.1%	16.6%	2.5%	3.0%	5.63	5.63	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	LAA	19	0	20	84	17	12	3	0%	1.1	20.2%	14.3%	5.9%	3.0%	5.33	5.22	-0.2
2028	19	MLB CTX	LAA	10	0	10	42	9	6	1	0%	1.0	20.2%	14.3%	5.9%	3.0%	5.33	5.22	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	8	6	1	0%	1.1	20.2%	14.3%	5.9%	3.0%	5.33	4.84	-0.0
/ 200 IP	—	RAW		190	0	200	844	163	122	20	0%	1.1	20.2%	14.3%	5.9%	3.0%	5.33	4.84	-0.7
Career	—	MLE		13	0	16	92	7	19	4	0%	1.3	7.4%	20.4%	-13.0%	4.6%	13.78	7.56	-0.2
/ 200 IP	—	MLE		159	0	200	1127	83	230	51	0%	1.3	7.4%	20.4%	-13.0%	4.6%	13.78	7.56	-1.6

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
Anllelo Gutierrez (OGILVIE)	—	—	5.63	19.1%	16.6%	3.0%	—	5.22	20.2%	5.9%	20	-0.41	—	—	—
CD Pelham L 2015 · 4.77 FIP	20	SU	4.77	18.8%	18.7%	1.6%	.286	4.00	20.4%	7.8%	109	-0.77	3.39	288	84
Yensy Bello L 2022 · 6.82 FIP	19	SU	6.82	19.9%	32.3%	2.4%	.240	3.76	17.4%	4.1%	91	-3.06	2.65	103	83
Boone Logan L 2006 · 4.69 FIP	21	SU	4.69	16.1%	14.0%	2.1%	.302	4.14	17.2%	10.5%	110	-0.55	2.58	442	80
Alexander Beltre L 2021 · 6.42 FIP	18	SU	6.42	15.6%	18.2%	4.2%	.351	3.82	17.4%	6.1%	67	-2.60	2.75	106	79
Noel Vela L 2017 · 6.62 FIP	18	SU	6.62	20.4%	31.2%	2.3%	.192	5.06	16.3%	-1.5%	45	-1.56	4.48	255	79
Yordy Herrera L 2023 · 4.98 FIP	18	SU	4.98	20.6%	23.1%	1.3%	.283	4.88	21.2%	1.8%	117	-0.10	3.87	163	79
Wilfred Salaman L 2016 · 6.60 FIP	18	SU	6.60	13.1%	20.8%	3.6%	.333	4.44	13.0%	0.4%	200	-2.16	4.26	218	78
Angel Padron L 2016 · 4.56 FIP	18	SU	4.56	16.4%	17.9%	1.1%	.247	4.14	17.0%	7.0%	222	-0.42	3.05	293	77
Will Stewart L 2015 · 6.63 FIP	18	SU	6.63	13.6%	18.8%	4.2%	.242	3.57	14.4%	6.8%	158	-3.06	3.38	535	77
Develson Aria L 2019 · 5.19 FIP	18	SU	5.19	15.5%	19.7%	1.6%	.311	4.33	21.7%	3.1%	54	-0.86	4.32	137	77
Daniel Gonzalez L 2021 · 5.55 FIP	19	SU	5.55	13.6%	19.1%	2.1%	.318	4.98	20.1%	2.0%	100	-0.57	4.34	136	77
Jayvien Sandridge L 2018 · 5.17 FIP	19	SU	5.17	15.5%	19.0%	1.8%	.188	6.78	19.0%	-4.9%	13	+1.61	3.25	223	75
Ignacio Briceno L 2021 · 5.16 FIP	20	SU	5.16	12.7%	12.9%	2.7%	.230	3.33	17.0%	7.2%	82	-1.83	2.39	156	75
Denny Bentley L 2018 · 4.85 FIP	20	SU	4.85	19.6%	10.3%	3.8%	.318	2.88	25.4%	10.3%	58	-1.97	2.88	175	74
Cleiber Maldonado L 2022 · 5.20 FIP	18	SW	5.20	13.5%	15.1%	2.4%	.267	3.42	14.8%	2.4%	57	-1.78	2.35	109	74
Daniel Juarez L 2019 · 4.45 FIP	18	SU	4.45	24.9%	14.7%	2.9%	.389	4.24	26.5%	9.0%	68	-0.21	3.68	221	73
Miguel Jerez L 2016 · 4.53 FIP	18	SU	4.53	15.0%	9.6%	2.7%	.268	3.46	14.8%	8.9%	129	-1.07	3.39	151	72
Nicolo Pinazzi L 2021 · 4.55 FIP	21	SU	4.55	25.7%	21.3%	1.7%	.389	5.41	22.7%	0.2%	76	+0.86	2.58	155	72
Liu Fuenmayor L 2017 · 5.88 FIP	18	SU	5.88	15.2%	21.1%	2.5%	.214	3.52	11.1%	0.3%	28	-2.36	3.07	130	72
Edgar Torres L 2015 · 5.39 FIP	19	SU	5.39	13.4%	10.7%	3.8%	.214	4.05	14.6%	9.7%	50	-1.34	2.67	111	71