Arnaldo Tejeda

P DSL Mets Blue

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Mets Blue	12	27	10.12	4.11	17.0%	17.7%	—	K 11.6% · BB 22.2% · FIP 4.93
2027PROJ	19	MLBNYM	15	16	5.84	5.84	19.1%	18.9%	-0.2
2028PROJ49% MLB	20	MLBNYM	11	12	5.49	5.36	20.2%	16.0%	-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%

CompsJonathan Jimenez (age 19) · Carlos De Los Santos (age 18) · Elison Joseph (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 144136vR 128

ERA5.84

FIP5.84

K%19.1%

BB%18.9%

K-BB%0.2%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 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	18	ROK MLE	DSL Mets Blue	12	0	27	141	24	25	0	0%	2.2	11.6%	22.2%	-10.6%	0.0%	10.12	4.93	—
2026	18	ROK MLE	DSL Mets Blue	12	0	27	141	24	25	0	0%	2.2	11.6%	22.2%	-10.6%	0.0%	10.12	4.93	—
2026	18	ROK RAW	DSL Mets Blue	12	0	27	141	24	25	0	0%	2.2	17.0%	17.7%	-0.7%	0.0%	10.12	4.11	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	NYM	15	0	16	68	13	13	2	0%	1.1	19.1%	18.9%	0.2%	2.9%	5.84	5.84	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	NYM	24	0	25	106	22	17	3	0%	1.1	20.2%	16.0%	4.2%	2.8%	5.49	5.36	-0.2
2028	20	MLB CTX	NYM	11	0	12	51	10	8	1	0%	1.1	20.2%	16.0%	4.2%	2.8%	5.49	5.36	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	52	11	8	1	0%	1.0	20.2%	16.0%	4.2%	2.8%	5.49	4.98	-0.1
/ 200 IP	—	RAW		190	0	200	844	178	129	16	0%	1.1	20.2%	16.0%	4.2%	2.8%	5.49	4.98	-1.0
Career	—	MLE		12	0	27	141	16	31	0	0%	2.2	11.6%	22.2%	-10.6%	0.0%	10.12	4.93	-0.2
/ 200 IP	—	MLE		90	0	200	1058	122	234	0	0%	2.2	11.6%	22.2%	-10.6%	0.0%	10.12	4.93	-1.9

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
Arnaldo Tejeda (OGILVIE)	—	—	5.84	19.1%	18.9%	2.9%	—	5.36	20.2%	4.2%	25	-0.48	—	—	—
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	85
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	84
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	84
Brendan Hardy R 2018 · 5.18 FIP	18	SU	5.18	17.0%	19.7%	1.8%	.227	6.99	15.9%	-17.2%	25	+1.81	2.54	137	83
Elvis Jerez R 2019 · 6.39 FIP	19	SU	6.39	14.2%	22.8%	2.9%	.292	3.52	27.9%	8.0%	50	-2.87	3.13	109	83
Junior Sanchez R 2024 · 4.79 FIP	18	SU	4.79	17.1%	15.3%	2.2%	.356	4.53	18.7%	8.6%	219	-0.26	3.36	294	82
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	82
Alexis Paulino R 2022 · 5.30 FIP	19	SU	5.30	16.9%	21.2%	1.7%	.384	4.94	17.6%	-5.1%	73	-0.36	4.39	102	82
Juan Arnaud R 2022 · 6.33 FIP	19	SU	6.33	14.6%	23.7%	2.7%	.330	4.40	18.8%	1.6%	102	-1.93	3.43	184	82
Rafael Mendez R 2022 · 4.95 FIP	19	SU	4.95	14.3%	16.0%	1.9%	.337	3.92	20.1%	4.3%	45	-1.03	3.76	103	82
Anthony Cruz R 2022 · 5.38 FIP	19	SW	5.38	16.7%	16.6%	2.9%	.237	4.19	18.2%	5.6%	180	-1.19	3.32	272	81
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	81
Over Galue R 2021 · 5.01 FIP	20	SW	5.01	17.5%	17.0%	2.2%	.346	4.16	18.2%	3.6%	94	-0.85	4.16	122	81
Wilber Perez R 2017 · 4.85 FIP	19	SU	4.85	14.9%	15.4%	1.9%	.362	4.14	18.7%	4.8%	140	-0.71	3.02	265	80
Dionys Rodriguez R 2019 · 4.74 FIP	18	SU	4.74	18.4%	20.1%	1.2%	.258	4.33	19.1%	8.6%	191	-0.41	3.67	407	80
Angel Reyes R 2018 · 4.91 FIP	20	SU	4.91	16.5%	19.4%	1.4%	.328	4.51	17.1%	5.7%	119	-0.40	3.99	308	79
Keith Rogalla R 2017 · 4.87 FIP	21	SU	4.87	15.9%	19.1%	1.3%	.299	3.52	21.2%	9.5%	24	-1.35	3.10	113	79
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	79
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	79
Edwin Núñez R 2021 · 6.60 FIP	19	SU	6.60	15.2%	22.9%	3.4%	.343	4.73	16.4%	0.7%	170	-1.87	4.31	288	79