Denichel Javier

P DSL Tampa Bay

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Tampa Bay	18	29	4.66	2.31	24.0%	10.1%	—	K 16.3% · BB 12.6% · FIP 3.32
2027PROJ	19	MLB—	16	17	4.77	4.77	21.0%	11.7%	-0.0
2028PROJ49% MLB	20	MLB—	12	13	4.63	4.57	21.6%	10.7%	-0.0

Next 2 projected WAR -0.0Projected 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 99%

CompsBlake Workman (age 20) · Harold Cortijo (age 18) · Yordin Chalas (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.77

FIP4.77

K%21.0%

BB%11.7%

K-BB%9.3%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

K†5050

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	18	ROK MLE	DSL Tampa Bay	18	0	29	129	31	13	0	0%	1.6	16.3%	12.6%	3.7%	0.0%	4.66	3.32	—
2026	18	ROK MLE	DSL Tampa Bay	18	0	29	129	31	13	0	0%	1.6	16.3%	12.6%	3.7%	0.0%	4.66	3.32	—
2026	18	ROK RAW	DSL Tampa Bay	18	0	29	129	31	13	0	0%	1.6	24.0%	10.1%	14.0%	0.0%	4.66	2.31	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	16	0	17	72	15	8	2	0%	1.1	21.0%	11.7%	9.3%	2.9%	4.77	4.77	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	26	0	27	116	25	12	3	0%	1.1	21.6%	10.7%	10.9%	2.8%	4.63	4.57	-0.0
2028	20	MLB CTX	—	12	0	13	55	12	6	2	0%	1.1	21.6%	10.7%	10.9%	2.8%	4.63	4.57	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	13	57	12	6	2	0%	1.0	21.6%	10.7%	10.9%	2.8%	4.63	4.19	+0.1
/ 200 IP	—	RAW		190	0	200	844	178	89	30	0%	1.1	21.6%	10.7%	10.9%	2.8%	4.63	4.19	+0.9
Career	—	MLE		18	0	29	129	21	16	0	0%	1.6	16.3%	12.6%	3.7%	0.0%	4.66	3.32	-0.0
/ 200 IP	—	MLE		124	0	200	890	145	112	0	0%	1.6	16.3%	12.6%	3.7%	0.0%	4.66	3.32	-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
Denichel Javier (OGILVIE)	—	—	4.77	21.0%	11.7%	2.9%	—	4.57	21.6%	10.9%	27	-0.20	—	—	—
Blake Workman R 2018 · 4.00 FIP	20	SU	4.00	18.9%	9.5%	2.4%	.307	3.98	23.8%	19.5%	105	-0.02	3.09	213	89
Harold Cortijo R 2017 · 4.46 FIP	18	SU	4.46	19.1%	9.8%	3.1%	.309	5.64	13.5%	2.2%	73	+1.18	4.15	179	88
Yordin Chalas R 2023 · 4.56 FIP	19	SU	4.56	17.3%	10.6%	2.9%	.294	3.92	19.9%	7.8%	116	-0.64	3.67	140	88
David Matoma R 2024 · 3.81 FIP	18	SU	3.81	20.7%	12.2%	1.7%	.259	5.70	15.7%	-5.9%	79	+1.89	3.58	118	87
Jose Diaz R 2019 · 3.97 FIP	19	SU	3.97	17.9%	10.4%	1.9%	.326	5.52	19.2%	1.1%	64	+1.55	3.91	189	86
Luis Alvarado R 2018 · 5.24 FIP	21	SU	5.24	20.2%	12.4%	4.2%	.276	5.16	18.7%	4.4%	140	-0.08	4.89	162	86
Troy Bacon R 2017 · 3.92 FIP	20	SU	3.92	19.9%	11.7%	1.9%	.222	4.06	19.7%	10.8%	102	+0.14	3.34	203	86
Audry Lugo R 2019 · 4.05 FIP	20	SU	4.05	18.5%	11.4%	2.0%	.247	5.30	15.6%	-0.4%	77	+1.25	4.05	113	85
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	85
Anthony Hoopii-Tuionetoa R 2021 · 4.14 FIP	20	SU	4.14	25.1%	13.3%	2.7%	.327	3.29	23.8%	13.4%	81	-0.85	3.21	104	85
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	85
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	85
Jeremy Beasley R 2017 · 4.71 FIP	21	SU	4.71	19.5%	11.6%	3.3%	.273	4.10	17.7%	8.7%	234	-0.61	3.17	337	85
Pedro Da Costa Lemos R 2023 · 3.57 FIP	20	SU	3.57	23.5%	13.2%	1.4%	.286	4.64	18.0%	7.8%	180	+1.07	3.57	204	85
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	85
Aneudy Duarte R 2017 · 4.26 FIP	19	SU	4.26	20.4%	13.5%	2.1%	.320	4.79	17.1%	5.4%	34	+0.53	4.26	102	84
Greiber Mendez R 2023 · 3.64 FIP	19	SU	3.64	19.0%	11.7%	1.2%	.288	5.26	15.7%	3.0%	185	+1.62	3.64	247	84
Nolan Sparks R 2024 · 4.10 FIP	21	SU	4.10	21.8%	13.5%	2.1%	.229	4.72	19.3%	5.3%	140	+0.62	4.10	155	84
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	84
Osiris German R 2018 · 4.26 FIP	19	SU	4.26	20.6%	8.7%	3.3%	.346	3.15	26.3%	15.5%	59	-1.11	3.11	187	84