Kendeglys Virguez

P Lake County Captains

Age 23 RHP 6'3" / 200 lbs A+

Overview

A+PROSPECTFG #950

Scout OFP40ETA2028FG ETA2027MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	MIX2 levels	25	0	40	3.57	2.83	32.0%	8.9%	—	K 22.5% · BB 10.8% · FIP 4.45
2025	21	ROKCLE	7	0	8	5.87	2.06	34.2%	15.8%	—	K 34.2% · BB 15.8% · FIP 2.21
2026	22	MIX2 levels	37	1	41	3.95	3.12	30.4%	13.3%	—	K 23.8% · BB 15.0% · FIP 4.10
2027PROJ	23	MLBWSH	86	0	90	4.79	4.79	25.0%	14.5%	-0.2
2028PROJ43% MLB	24	MLBWSH	38	0	40	4.63	4.56	25.3%	12.9%	-0.0
2029PROJ66% MLB	25	MLBWSH	59	0	62	4.49	4.42	25.4%	11.9%	0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff55Command40FB velo70

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 94%

CompsBrandon Johnson (age 24) · Ryan Sublette (age 23) · Tanner Jacobson (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.79

FIP4.79

K%25.0%

BB%14.5%

K-BB%10.5%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

Grades · Contract

Scouting Grades

OFP—40

STUF4555

CMD3040

K†6060

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)
2022	18	ROK MLE	DSL CLE Red	17	0	22	115	30	19	2	0%	1.3	17.7%	20.7%	-2.9%	2.1%	8.06	5.34	—
2022	18	ROK RAW	DSL CLE Red	17	0	22	115	30	19	2	0%	1.3	26.1%	16.5%	9.6%	1.7%	8.06	4.13	—
2023	19	ROK MLE	ACL Guardians	11	7	39	189	40	28	4	64%	3.5	14.4%	18.5%	-4.1%	2.2%	7.68	5.44	—
2023	19	ROK RAW	ACL Guardians	11	7	39	189	40	28	4	64%	3.5	21.2%	14.8%	6.3%	2.1%	7.68	4.55	—
2024	20	MIX MLE	2 levels	25	0	40	169	54	15	4	0%	1.6	22.5%	10.8%	11.8%	3.4%	3.57	4.45	—
2024	20	MIX MLE	2 levels	25	0	40	169	54	15	4	0%	1.6	22.5%	10.8%	11.8%	3.4%	3.57	4.45	—
2024	20	MIX RAW	2 levels	25	0	40	169	54	15	4	0%	1.6	32.0%	8.9%	23.1%	2.4%	3.57	2.83	—
2025	21	ROK MLE	ACL Guardians	7	0	8	38	13	6	0	0%	1.1	34.2%	15.8%	18.4%	0.0%	5.87	2.21	—
2025	21	ROK MLE	ACL Guardians	7	0	8	38	13	6	0	0%	1.1	34.2%	15.8%	18.4%	0.0%	5.87	2.21	—
2025	21	ROK RAW	ACL Guardians	7	0	8	38	13	6	0	0%	1.1	34.2%	15.8%	18.4%	0.0%	5.87	2.06	—
2026	22	MIX MLE	2 levels	37	1	41	181	55	24	3	3%	1.1	23.8%	15.0%	8.8%	2.0%	3.95	4.10	—
2026	22	MIX MLE	2 levels	37	1	41	181	55	24	3	3%	1.1	23.8%	15.0%	8.8%	2.0%	3.95	4.10	—
2026	22	MIX RAW	2 levels	37	1	41	181	55	24	3	3%	1.1	30.4%	13.3%	17.1%	1.7%	3.95	3.12	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	WSH	86	0	90	380	95	55	11	0%	1.0	25.0%	14.5%	10.5%	2.9%	4.79	4.79	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	WSH	88	0	92	389	98	50	11	0%	1.0	25.3%	12.9%	12.3%	2.9%	4.63	4.56	-0.0
2029	25	MLB MLE	WSH	89	0	93	394	100	47	11	0%	1.0	25.4%	11.9%	13.5%	2.9%	4.49	4.42	+0.1
2030	26	MLB MLE	WSH	89	0	93	394	100	46	11	0%	1.0	25.4%	11.7%	13.7%	2.9%	4.42	4.39	+0.2
2031	27	MLB MLE	WSH	88	0	92	388	98	45	11	0%	1.0	25.3%	11.7%	13.7%	2.9%	4.42	4.42	+0.1
2032	28	MLB MLE	WSH	85	0	89	377	95	45	11	0%	1.0	25.2%	11.8%	13.4%	3.0%	4.47	4.51	+0.0
2033	29	MLB MLE	WSH	81	0	85	360	90	43	11	0%	1.1	25.0%	12.0%	12.9%	3.2%	4.57	4.64	-0.1
2034	30	MLB MLE	WSH	76	0	80	338	83	42	11	0%	1.1	24.6%	12.3%	12.3%	3.4%	4.72	4.82	-0.2
2028	24	MLB CTX	WSH	38	0	40	169	43	22	5	0%	1.1	25.3%	12.9%	12.3%	2.9%	4.63	4.56	-0.0
2029	25	MLB CTX	WSH	59	0	62	262	66	31	7	0%	1.1	25.4%	11.9%	13.5%	2.9%	4.49	4.42	+0.1
2030	26	MLB CTX	WSH	70	0	74	312	79	37	9	0%	1.1	25.4%	11.7%	13.7%	2.9%	4.42	4.39	+0.1
2031	27	MLB CTX	WSH	74	0	78	329	83	38	10	0%	1.1	25.3%	11.7%	13.7%	2.9%	4.42	4.42	+0.1
2032	28	MLB CTX	WSH	75	0	79	334	84	39	10	0%	1.1	25.2%	11.8%	13.4%	3.0%	4.47	4.51	+0.0
2033	29	MLB CTX	WSH	73	0	77	325	81	39	10	0%	1.1	25.0%	12.0%	12.9%	3.2%	4.57	4.64	-0.1
2034	30	MLB CTX	WSH	70	0	74	312	77	39	11	0%	1.1	24.6%	12.3%	12.3%	3.4%	4.72	4.82	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		462	0	485	2047	515	246	62	0%	1.0	25.2%	12.0%	13.2%	3.0%	4.52	4.16	+2.3
/ 200 IP	—	RAW		190	0	200	844	212	101	26	0%	1.1	25.2%	12.0%	13.2%	3.0%	4.52	4.16	+0.9
Career	—	MLE		97	8	150	692	142	110	16	8%	1.5	20.5%	15.9%	4.6%	2.3%	5.52	4.65	+0.1
/ 200 IP	—	MLE		129	11	200	923	189	147	21	8%	1.5	20.5%	15.9%	4.6%	2.3%	5.52	4.65	+0.0

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
Kendeglys Virguez (OGILVIE)	—	—	4.79	25.0%	14.5%	2.9%	—	4.46	25.4%	13.2%	279	-0.33	—	—	—
Brandon Johnson R 2023 · 4.94 FIP	24	SU	4.94	22.4%	14.2%	3.5%	.327	4.47	22.1%	12.1%	189	-0.47	3.35	250	85
Ryan Sublette R 2022 · 3.74 FIP	23	SU	3.74	27.3%	14.6%	2.0%	.301	5.27	19.9%	2.3%	149	+1.53	3.74	203	85
Tanner Jacobson R 2023 · 4.09 FIP	23	SU	4.09	22.8%	13.8%	2.1%	.313	4.89	21.1%	5.4%	115	+0.80	4.09	168	85
Jackson Kelley R 2023 · 3.80 FIP	23	SU	3.80	26.5%	13.1%	2.3%	.313	3.63	21.7%	10.9%	166	-0.17	3.17	219	85
Todd Van Steensel R 2015 · 3.79 FIP	24	SU	3.79	22.5%	11.6%	2.0%	.294	3.31	19.3%	6.5%	157	-0.48	2.87	223	84
Craig Schlitter R 2016 · 4.53 FIP	24	SU	4.53	22.7%	15.4%	2.5%	.298	4.67	14.7%	4.2%	171	+0.14	4.25	222	84
Aaron Kurcz R 2015 · 3.98 FIP	24	SU	3.98	22.4%	13.6%	1.9%	.331	4.05	16.1%	8.0%	105	+0.07	3.31	213	84
Akeel Morris R 2016 · 3.70 FIP	23	SU	3.70	26.7%	15.2%	1.7%	.311	4.30	19.4%	6.7%	107	+0.60	3.00	305	83
Logan VanWey R 2023 · 4.34 FIP	24	SU	4.34	23.9%	14.0%	2.7%	.301	3.74	25.9%	15.2%	147	-0.60	2.97	194	83
Isaac Stebens R 2024 · 4.13 FIP	22	SU	4.13	24.1%	15.3%	2.1%	.328	4.14	21.1%	5.6%	50	+0.01	4.13	102	83
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	83
Mason Vinyard R 2023 · 3.73 FIP	24	SU	3.73	22.7%	13.6%	1.5%	.270	4.67	19.3%	6.0%	147	+0.94	3.60	207	83
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.18	22.3%	9.0%	119	-0.38	2.12	165	83
Alfredo Zarraga R 2024 · 3.73 FIP	23	SU	3.73	24.9%	13.3%	1.9%	.275	—	—	—	—	—	3.18	138	83
Jesen Therrien R 2016 · 3.98 FIP	23	SU	3.98	25.0%	12.8%	2.5%	.310	3.40	21.3%	15.8%	76	-0.58	2.72	192	83
Sandy Lugo R 2017 · 4.40 FIP	23	SU	4.40	22.0%	14.8%	2.3%	.282	—	—	—	—	—	3.48	146	83
Alec Barger R 2021 · 4.55 FIP	23	SW	4.55	21.7%	13.6%	2.8%	.289	4.17	21.3%	9.4%	148	-0.38	3.85	242	83
Shane Broyles R 2015 · 3.91 FIP	23	SU	3.91	21.9%	11.5%	2.2%	.338	3.75	25.7%	14.5%	159	-0.16	3.34	218	82
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	82
Barrett Loseke R 2021 · 4.64 FIP	24	SU	4.64	26.2%	12.8%	3.9%	.282	4.63	22.2%	11.8%	86	-0.01	4.42	152	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.6	89	25.2%	12.4%	1.16	4.56
Roy Parmelee ('29-'39, 4 WAR*)	5.6	124	24.0%*	12.7%*	1.20*	4.75*
Scipio Spinks ('69-'73, 2 WAR*)	1.0	67	23.7%*	12.2%*	1.04*	4.52*
Ken Kravec ('75-'82, 5 WAR*)	4.3	123	23.6%*	10.7%*	1.11*	4.73*
Daisuke Matsuzaka ('14)	4.0	99	20.9%	11.2%	0.97	4.45
John Maine ('13)	3.0	99	19.5%	10.5%	1.23	4.45
Kazuhisa Ishii ('02-'05, 1 WAR*)	2.8	141	19.8%*	13.6%*	1.14*	4.72*