Jake Barbee

P ACL Rangers

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	MIX2 levels	10	2	24	7.23	3.10	24.3%	12.1%	—	K 18.0% · BB 16.5% · FIP 4.81
2027PROJ	20	MLBTEX	8	0	8	4.95	4.95	22.2%	13.5%	-0.0
2028PROJ49% MLB	21	MLBTEX	10	0	11	4.77	4.69	22.8%	12.1%	-0.0

Next 2 projected WAR -0.1Projected 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 99%

CompsWill Kobos (age 20) · Rolddy Muñoz (age 21) · Jose Vasquez (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.95

FIP4.95

K%22.2%

BB%13.5%

K-BB%8.7%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 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	19	MIX MLE	2 levels	10	2	24	107	26	13	1	20%	2.4	18.0%	16.5%	1.5%	2.1%	7.23	4.81	—
2026	19	MIX MLE	2 levels	10	2	24	107	26	13	1	20%	2.4	18.0%	16.5%	1.5%	2.1%	7.23	4.81	—
2026	19	MIX RAW	2 levels	10	2	24	107	26	13	1	20%	2.4	24.3%	12.1%	12.1%	0.9%	7.23	3.10	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	TEX	8	0	8	34	8	5	1	0%	1.0	22.2%	13.5%	8.7%	3.0%	4.95	4.95	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	TEX	21	0	22	95	22	11	3	0%	1.1	22.8%	12.1%	10.7%	2.9%	4.77	4.69	-0.0
2028	21	MLB CTX	TEX	10	0	11	46	11	6	1	0%	1.1	22.8%	12.1%	10.7%	2.9%	4.77	4.69	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	46	11	6	1	0%	1.1	22.8%	12.1%	10.7%	2.9%	4.77	4.31	+0.0
/ 200 IP	—	RAW		190	0	200	844	200	109	18	0%	1.1	22.8%	12.1%	10.7%	2.9%	4.77	4.31	+0.6
Career	—	MLE		10	2	24	107	19	18	2	20%	2.4	18.0%	16.5%	1.5%	2.1%	7.23	4.81	-0.0
/ 200 IP	—	MLE		85	17	200	904	163	150	19	20%	2.4	18.0%	16.5%	1.5%	2.1%	7.23	4.81	-0.3

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
Jake Barbee (OGILVIE)	—	—	4.95	22.2%	13.5%	3.0%	—	4.69	22.8%	10.7%	22	-0.26	—	—	—
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	83
Rolddy Muñoz R 2021 · 4.32 FIP	21	SU	4.32	21.4%	13.7%	2.4%	.342	3.54	21.1%	9.8%	149	-0.78	3.18	290	83
Jose Vasquez R 2024 · 4.12 FIP	19	SW	4.12	21.9%	13.4%	2.1%	.359	6.49	15.6%	-10.2%	66	+2.37	4.12	123	83
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	82
Alix Hernandez R 2024 · 4.44 FIP	20	SU	4.44	21.7%	13.7%	2.6%	.300	5.16	23.0%	11.4%	78	+0.72	3.55	170	82
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	82
Joel Ibarra R 2022 · 4.08 FIP	20	SW	4.08	21.4%	13.8%	1.9%	.323	4.74	19.6%	-3.4%	86	+0.66	4.08	155	82
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	81
Denny Larrondo R 2021 · 4.77 FIP	19	SW	4.77	22.7%	17.5%	2.5%	.293	5.26	18.1%	-0.4%	155	+0.49	4.48	293	81
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	80
Justin Meis R 2021 · 4.07 FIP	21	SU	4.07	25.6%	13.6%	2.6%	.300	5.14	18.2%	5.5%	261	+1.07	3.68	411	80
Jesus Gamez R 2024 · 3.81 FIP	21	SU	3.81	25.4%	14.0%	2.0%	.321	4.28	27.2%	2.8%	77	+0.47	3.42	105	80
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	80
Johzan Oquendo R 2021 · 4.22 FIP	20	SW	4.22	18.4%	14.5%	1.5%	.294	3.65	23.5%	5.7%	113	-0.57	3.62	187	80
Nestor Lorant R 2022 · 3.99 FIP	20	SW	3.99	22.5%	13.2%	2.0%	.385	3.98	18.6%	8.4%	223	-0.01	2.73	373	80
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	80
Tyler Santana R 2021 · 4.28 FIP	23	SU	4.28	20.3%	15.1%	1.8%	.333	4.37	16.0%	5.7%	259	+0.09	3.37	401	80
Eccel Correa R 2023 · 4.39 FIP	20	SW	4.39	19.4%	11.9%	2.6%	.316	4.41	14.0%	2.2%	154	+0.02	3.96	189	80
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	80
Chase Ingram R 2015 · 4.11 FIP	20	SU	4.11	23.2%	15.8%	1.8%	.244	4.14	15.8%	3.0%	154	+0.03	4.04	174	80