Samuel Teran

P DSL Orioles Black

Age 18 RHP 6'2" / 168 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	16	ROKDSL Orioles O…	7	7	14.73	7.87	13.6%	15.9%	—	K 13.6% · BB 15.9% · FIP 6.46
2026	17	ROKDSL Orioles B…	15	21	6.75	5.35	14.7%	16.5%	—	K 10.0% · BB 20.6% · FIP 6.28
2027PROJ	18	MLBBAL	12	13	5.66	5.66	19.3%	17.2%	-0.2
2028PROJ49% MLB	19	MLBBAL	10	10	5.35	5.24	20.4%	14.8%	-0.1

Next 2 projected WAR -0.2Projected 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%

CompsAlejandro Lugo (age 18) · Carlos De Los Santos (age 18) · Jonathan Jimenez (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 141133vR 124

ERA5.66

FIP5.66

K%19.3%

BB%17.2%

K-BB%2.2%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 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)
2025	16	ROK MLE	DSL Orioles Orange	7	0	7	44	6	7	2	0%	1.0	13.6%	15.9%	-2.3%	4.5%	14.73	6.46	—
2025	16	ROK MLE	DSL Orioles Orange	7	0	7	44	6	7	2	0%	1.0	13.6%	15.9%	-2.3%	4.5%	14.73	6.46	—
2025	16	ROK RAW	DSL Orioles Orange	7	0	7	44	6	7	2	0%	1.0	13.6%	15.9%	-2.3%	4.5%	14.73	7.87	—
2026	17	ROK MLE	DSL Orioles Black	15	0	21	109	16	18	2	0%	1.4	10.0%	20.6%	-10.7%	2.6%	6.75	6.28	—
2026	17	ROK MLE	DSL Orioles Black	15	0	21	109	16	18	2	0%	1.4	10.0%	20.6%	-10.7%	2.6%	6.75	6.28	—
2026	17	ROK RAW	DSL Orioles Black	15	0	21	109	16	18	2	0%	1.4	14.7%	16.5%	-1.8%	1.8%	6.75	5.35	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	BAL	12	0	13	55	11	9	2	0%	1.1	19.3%	17.2%	2.2%	3.0%	5.66	5.66	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	BAL	19	0	20	85	17	13	2	0%	1.1	20.4%	14.8%	5.6%	2.9%	5.35	5.24	-0.2
2028	19	MLB CTX	BAL	10	0	10	42	9	6	1	0%	1.0	20.4%	14.8%	5.6%	2.9%	5.35	5.24	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	6	1	0%	1.1	20.4%	14.8%	5.6%	2.9%	5.35	4.86	-0.0
/ 200 IP	—	RAW		190	0	200	844	181	121	20	0%	1.1	20.4%	14.8%	5.6%	2.9%	5.35	4.86	-0.7
Career	—	MLE		22	0	29	153	17	30	5	0%	1.3	11.0%	19.3%	-8.2%	3.1%	8.79	6.33	-0.2
/ 200 IP	—	MLE		153	0	200	1067	118	206	33	0%	1.3	11.0%	19.3%	-8.2%	3.1%	8.79	6.33	-1.6

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
Samuel Teran (OGILVIE)	—	—	5.66	19.3%	17.2%	3.0%	—	5.24	20.4%	5.6%	20	-0.42	—	—	—
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	92
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	90
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	89
Jesus Colina R 2023 · 5.30 FIP	18	SU	5.30	15.3%	15.2%	2.9%	.265	4.00	17.2%	7.6%	103	-1.30	3.82	128	86
Danny Hilario R 2023 · 5.65 FIP	18	SU	5.65	17.8%	19.4%	2.9%	.241	3.68	17.2%	6.9%	68	-1.97	3.58	107	85
Kendeglys Virguez R 2022 · 5.34 FIP	18	SU	5.34	17.7%	20.7%	2.1%	.359	4.93	18.5%	4.0%	79	-0.41	4.10	142	85
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	85
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	85
Jose Luis Reyes R 2021 · 4.49 FIP	18	SU	4.49	17.0%	16.3%	1.4%	.262	4.59	14.4%	5.4%	145	+0.10	4.49	206	84
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	83
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	83
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
Enrique Saldana R 2018 · 6.54 FIP	19	SU	6.54	15.4%	25.9%	2.6%	.310	3.85	14.6%	6.3%	80	-2.69	2.96	109	83
Christian Rodriguez R 2023 · 5.51 FIP	18	SU	5.51	15.5%	21.4%	1.8%	.268	4.93	17.0%	1.1%	169	-0.58	4.34	183	83
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	82
Johan Quezada R 2015 · 4.65 FIP	20	SU	4.65	18.0%	17.2%	1.6%	.255	4.39	14.1%	-3.0%	53	-0.26	3.78	234	82
Tim Naughton R 2017 · 4.53 FIP	21	SU	4.53	17.9%	15.6%	1.8%	.312	3.58	20.7%	6.4%	83	-0.95	2.93	305	81
Jose G. Gonzalez R 2021 · 5.42 FIP	19	SU	5.42	16.2%	22.7%	1.5%	.320	4.81	15.6%	0.6%	94	-0.61	3.63	165	81
Francisco Frias R 2023 · 5.74 FIP	18	SU	5.74	20.8%	14.1%	4.8%	.294	4.83	19.2%	2.2%	134	-0.91	4.00	148	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	81