Henry Tejada prospect projection, MLE, ETA

Henry Tejada P DSL Orioles Orange

Age 21 RHP 6'0" / 160 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 10 proj IP

wRC+ AGAINSTvL 121113vR 105

ERA4.62

FIP4.62

K%22.2%

BB%10.9%

K-BB%11.3%

ROS IP11

Value2026 · WAR

Runs saved vs league avg · 10 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 + 2026 so far)
2022	17	ROK MLE	DSL BAL Orange	7	3	26	115	25	15	1	43%	3.7	14.8%	16.3%	-1.5%	1.2%	2.10	4.57	—
2022	17	ROK RAW	DSL BAL Orange	7	3	26	115	25	15	1	43%	3.7	21.7%	13.0%	8.7%	0.9%	2.10	3.41	—
2024	19	ROK MLE	DSL Orioles Orange	9	1	18	77	16	8	0	11%	2.0	14.1%	13.0%	1.1%	0.0%	2.00	3.55	—
2024	19	ROK MLE	DSL Orioles Orange	9	1	18	77	16	8	0	11%	2.0	14.1%	13.0%	1.1%	0.0%	2.00	3.55	—
2024	19	ROK RAW	DSL Orioles Orange	9	1	18	77	16	8	0	11%	2.0	20.8%	10.4%	10.4%	0.0%	2.00	2.66	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	21	MLB	—	—	—	0	—	—	—	—	—	—	22.2%	10.9%	11.3%	3.0%	4.62	4.62	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	22	MLB MLE	—	19	0	20	84	20	8	2	0%	1.1	23.2%	9.9%	13.3%	2.9%	4.46	4.38	+0.0
2027	22	MLB CTX	—	10	0	10	42	10	4	1	0%	1.0	23.2%	9.9%	13.3%	2.9%	4.46	4.38	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	10	4	1	0%	1.1	23.2%	9.9%	13.3%	2.9%	4.46	4.00	+0.1
/ 200 IP	—	RAW		190	0	200	844	203	81	20	0%	1.1	23.2%	9.9%	13.3%	2.9%	4.46	4.00	+1.3
Career	—	MLE		16	4	44	192	28	29	1	25%	2.7	14.5%	15.0%	-0.5%	0.7%	2.06	4.16	+0.0
/ 200 IP	—	MLE		73	18	200	879	128	132	6	25%	2.7	14.5%	15.0%	-0.5%	0.7%	2.06	4.16	+0.4

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
Henry Tejada (OGILVIE)	—	—	4.62	22.2%	10.9%	3.0%	—	4.38	23.2%	13.3%	20	-0.24	—	—	—
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	85
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	83
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
Inohan Paniagua R 2021 · 3.68 FIP	21	SW	3.68	23.3%	10.8%	2.1%	.298	4.28	18.8%	8.2%	297	+0.60	3.68	473	82
Kobe Robinson R 2022 · 4.49 FIP	21	SW	4.49	23.2%	14.3%	2.8%	.296	3.44	18.8%	4.9%	84	-1.05	2.98	107	81
Luis Romero R 2017 · 5.00 FIP	23	SU	5.00	22.1%	11.9%	4.1%	.367	4.26	21.6%	12.5%	132	-0.74	4.00	293	81
Ben Anderson R 2021 · 4.84 FIP	23	SW	4.84	19.8%	9.4%	4.0%	.309	4.02	16.2%	7.7%	147	-0.82	3.80	399	80
Clark Beeker R 2016 · 4.04 FIP	23	SW	4.04	20.0%	7.1%	3.2%	.270	4.35	11.6%	6.4%	244	+0.31	4.04	287	79
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	79
Luis Aguilar R 2023 · 4.45 FIP	19	SW	4.45	17.6%	10.3%	2.8%	.356	4.27	16.7%	6.7%	111	-0.18	3.51	146	79
Brendan Collins R 2022 · 3.67 FIP	22	SW	3.67	21.8%	10.3%	2.0%	.294	3.86	20.2%	5.1%	54	+0.19	3.67	122	78
Joel Garcia R 2023 · 4.26 FIP	19	SW	4.26	18.4%	13.0%	1.9%	.341	3.88	16.7%	9.5%	72	-0.38	3.02	104	78
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	78
Huei-Sheng Lin R 2019 · 4.59 FIP	20	SW	4.59	17.4%	7.4%	3.7%	.360	5.64	16.1%	3.7%	88	+1.05	4.59	120	78
Kyle Zimmer R 2015 · 3.74 FIP	23	SW	3.74	21.8%	8.6%	2.5%	.293	4.55	20.4%	9.0%	33	+0.81	2.08	276	78
Simon Mathews R 2017 · 4.09 FIP	21	SW	4.09	17.7%	7.5%	2.8%	.326	4.42	16.0%	5.9%	167	+0.33	4.09	215	78
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	77
Austin Hutchison R 2017 · 4.05 FIP	22	SW	4.05	19.7%	6.0%	3.4%	.340	4.55	18.7%	9.2%	213	+0.50	3.51	235	77
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	77
Dawil Almonte R 2022 · 3.59 FIP	20	SW	3.59	17.4%	7.8%	1.8%	.271	4.54	14.7%	3.3%	97	+0.95	3.59	138	77