Christian Rojas

P DSL Orioles Black

Age 19 LHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Orioles B…	14	1	22	4.84	3.95	19.8%	18.9%	—	K 13.5% · BB 23.6% · FIP 4.96
2027PROJ	19	MLBBAL	12	0	13	5.80	5.80	20.3%	19.3%	-0.2
2028PROJ49% MLB	20	MLBBAL	10	0	10	5.46	5.33	21.1%	16.3%	-0.1

Next 2 projected WAR -0.3Projected 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) · Peter Bonilla (age 19) · Yensy Bello (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127135vR 143

ERA5.80

FIP5.80

K%20.3%

BB%19.3%

K-BB%1.0%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 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 Orioles Black	14	1	22	111	22	21	0	7%	1.6	13.5%	23.6%	-10.2%	0.0%	4.84	4.96	—
2026	18	ROK MLE	DSL Orioles Black	14	1	22	111	22	21	0	7%	1.6	13.5%	23.6%	-10.2%	0.0%	4.84	4.96	—
2026	18	ROK RAW	DSL Orioles Black	14	1	22	111	22	21	0	7%	1.6	19.8%	18.9%	0.9%	0.0%	4.84	3.95	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	BAL	12	0	13	55	11	11	2	0%	1.1	20.3%	19.3%	1.0%	2.9%	5.80	5.80	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	BAL	20	0	21	89	19	15	3	0%	1.1	21.1%	16.3%	4.8%	2.9%	5.46	5.33	-0.2
2028	20	MLB CTX	BAL	10	0	10	42	9	7	1	0%	1.0	21.1%	16.3%	4.8%	2.9%	5.46	5.33	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	44	9	7	1	0%	1.0	21.1%	16.3%	4.8%	2.9%	5.46	4.95	-0.0
/ 200 IP	—	RAW		190	0	200	844	174	135	19	0%	1.1	21.1%	16.3%	4.8%	2.9%	5.46	4.95	-0.9
Career	—	MLE		14	1	22	111	15	26	0	7%	1.6	13.5%	23.6%	-10.2%	0.0%	4.84	4.96	-0.2
/ 200 IP	—	MLE		125	9	200	994	134	235	0	7%	1.6	13.5%	23.6%	-10.2%	0.0%	4.84	4.96	-1.8

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
Christian Rojas (OGILVIE)	—	—	5.80	20.3%	19.3%	2.9%	—	5.33	21.1%	4.8%	21	-0.47	—	—	—
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	86
Peter Bonilla L 2024 · 4.63 FIP	19	SU	4.63	20.9%	18.3%	1.8%	.250	6.24	19.5%	-5.4%	51	+1.61	4.27	134	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
Roberto Medina L 2024 · 5.29 FIP	19	SW	5.29	18.5%	19.6%	2.3%	.254	5.91	15.1%	-2.7%	45	+0.62	3.87	109	81
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	79
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	78
Esmerlin Vinicio L 2022 · 4.71 FIP	19	SW	4.71	17.6%	15.7%	2.0%	.365	4.87	17.2%	0.5%	207	+0.16	3.73	383	78
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	77
Braian Salazar L 2024 · 4.71 FIP	19	SW	4.71	22.0%	20.2%	1.7%	.344	4.11	21.7%	5.1%	107	-0.60	3.58	158	76
Anfernny Reyes L 2023 · 4.98 FIP	19	SU	4.98	21.6%	13.6%	3.6%	.282	4.34	21.0%	1.8%	99	-0.64	2.89	175	75
Edison Suriel L 2018 · 6.39 FIP	19	SU	6.39	16.8%	20.5%	3.8%	.341	2.16	21.4%	14.6%	17	-4.23	2.16	159	75
Zhiorman Imbriano L 2022 · 5.72 FIP	19	SU	5.72	12.3%	21.1%	1.8%	.283	4.79	13.2%	-5.0%	65	-0.93	3.82	100	75
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
Max Green L 2018 · 4.87 FIP	22	SU	4.87	15.7%	13.3%	2.6%	.352	4.41	13.9%	6.6%	86	-0.46	4.19	169	73
Gabriel Cotto L 2019 · 5.98 FIP	19	SW	5.98	11.3%	18.4%	2.8%	.309	5.15	18.5%	2.4%	113	-0.83	5.02	236	73
Riger Fernandez L 2017 · 5.21 FIP	19	SW	5.21	17.5%	24.7%	0.8%	.278	4.61	17.2%	-2.3%	35	-0.60	4.61	164	72
Frenny Grant L 2023 · 4.69 FIP	19	SW	4.69	19.4%	25.5%	0.0%	.240	4.18	17.4%	3.9%	120	-0.51	3.92	143	72
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	71
Alex Robinson L 2015 · 5.75 FIP	20	SU	5.75	16.2%	31.7%	0.0%	.312	4.45	23.4%	5.2%	123	-1.30	3.69	135	71
Andre Davis L 2015 · 6.34 FIP	21	SU	6.34	13.6%	16.7%	4.2%	.384	4.43	17.5%	9.9%	127	-1.91	4.14	154	71