Kevin Tejada

P DSL Tigers 2

Age 22 RHP 6'5" / 187 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKCOL	17	26	3.16	4.39	20.0%	11.4%	—	K 13.6% · BB 14.3% · FIP 6.30
2026	21	ROKDSL Tigers 2	14	20	7.20	3.85	16.5%	7.2%	—	K 11.2% · BB 9.0% · FIP 4.88
2027PROJ	22	MLBCOL	13	14	4.84	4.84	18.9%	10.2%	-0.0
2028PROJ49% MLB	23	MLBCOL	11	12	4.68	4.60	20.3%	9.5%	-0.0

Next 2 projected WAR -0.1Projected 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%

CompsMike Morrison (age 22) · Heath Holder (age 23) · Matt Pidich (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.84

FIP4.84

K%18.9%

BB%10.2%

K-BB%8.6%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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)
2023	18	ROK MLE	DSL Colorado	16	0	31	125	32	10	2	0%	1.9	17.4%	10.0%	7.4%	2.0%	3.23	3.97	—
2023	18	ROK RAW	DSL Colorado	16	0	31	125	32	10	2	0%	1.9	25.6%	8.0%	17.6%	1.6%	3.23	2.84	—
2024	19	ROK MLE	DSL Rockies	16	0	32	137	28	9	5	0%	2.0	13.9%	8.2%	5.7%	4.3%	5.34	5.33	—
2024	19	ROK MLE	DSL Rockies	16	0	32	137	28	9	5	0%	2.0	13.9%	8.2%	5.7%	4.3%	5.34	5.33	—
2024	19	ROK RAW	DSL Rockies	16	0	32	137	28	9	5	0%	2.0	20.4%	6.6%	13.9%	3.6%	5.34	4.22	—
2025	20	ROK MLE	DSL Rockies	17	0	26	105	21	12	3	0%	1.5	13.6%	14.3%	-0.7%	4.6%	3.16	6.30	—
2025	20	ROK MLE	DSL Rockies	17	0	26	105	21	12	3	0%	1.5	13.6%	14.3%	-0.7%	4.6%	3.16	6.30	—
2025	20	ROK RAW	DSL Rockies	17	0	26	105	21	12	3	0%	1.5	20.0%	11.4%	8.6%	2.9%	3.16	4.39	—
2026	21	ROK MLE	DSL Tigers 2	14	0	20	97	16	7	2	0%	1.4	11.2%	9.0%	2.2%	2.9%	7.20	4.88	—
2026	21	ROK MLE	DSL Tigers 2	14	0	20	97	16	7	2	0%	1.4	11.2%	9.0%	2.2%	2.9%	7.20	4.88	—
2026	21	ROK RAW	DSL Tigers 2	14	0	20	97	16	7	2	0%	1.4	16.5%	7.2%	9.3%	2.1%	7.20	3.85	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	COL	13	0	14	59	11	6	2	0%	1.1	18.9%	10.2%	8.6%	3.0%	4.84	4.84	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	COL	23	0	24	101	21	10	3	0%	1.0	20.3%	9.5%	10.8%	3.0%	4.68	4.60	-0.0
2028	23	MLB CTX	COL	11	0	12	51	10	5	2	0%	1.1	20.3%	9.5%	10.8%	3.0%	4.68	4.60	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	12	50	10	5	1	0%	1.1	20.3%	9.5%	10.8%	3.0%	4.68	4.22	+0.0
/ 200 IP	—	RAW		190	0	200	844	170	85	17	0%	1.1	20.3%	9.5%	10.8%	3.0%	4.68	4.22	+0.8
Career	—	MLE		63	0	108	464	66	48	16	0%	1.7	14.2%	10.2%	4.0%	3.4%	4.57	5.09	-0.0
/ 200 IP	—	MLE		116	0	200	857	122	88	30	0%	1.7	14.2%	10.2%	4.0%	3.4%	4.57	5.09	-0.1

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
Kevin Tejada (OGILVIE)	—	—	4.84	18.9%	10.2%	3.0%	—	4.60	20.3%	10.8%	24	-0.24	—	—	—
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	94
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	89
Matt Pidich R 2018 · 4.42 FIP	23	SU	4.42	17.1%	8.3%	3.1%	.303	4.08	20.8%	13.3%	115	-0.34	4.05	196	89
Ismael Cabrera R 2016 · 4.77 FIP	22	SU	4.77	19.5%	12.4%	3.2%	.276	5.29	16.9%	6.5%	95	+0.52	3.56	133	89
Andrew Bash R 2019 · 3.87 FIP	22	SU	3.87	18.0%	9.2%	2.1%	.273	4.21	14.9%	4.8%	146	+0.34	3.46	483	88
Jose Geraldo R 2022 · 3.85 FIP	22	SU	3.85	18.9%	9.9%	2.0%	.337	4.47	19.0%	9.9%	49	+0.62	3.14	154	87
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	87
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	87
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	87
Dawil Almonte R 2024 · 4.88 FIP	22	SU	4.88	17.9%	10.7%	3.5%	.267	4.31	12.6%	0.7%	58	-0.57	3.59	138	87
Miles Mikolas R 2012 · 4.56 FIP	23	SU	4.56	16.0%	10.4%	2.7%	.275	4.29	14.9%	8.6%	57	-0.27	3.13	1,386	86
Tyler Zombro R 2017 · 4.37 FIP	22	SU	4.37	14.6%	8.9%	2.5%	.295	2.67	15.7%	12.7%	134	-1.70	2.22	172	86
Mike Foltynewicz R 2014 · 4.76 FIP	22	SU	4.76	16.7%	8.3%	3.7%	.333	4.20	20.8%	12.6%	448	-0.56	3.17	957	86
Jayson McKinley R 2017 · 4.39 FIP	23	SU	4.39	17.5%	11.4%	2.4%	.308	3.60	20.4%	11.3%	134	-0.79	2.35	173	86
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	86
Justin Lasko R 2019 · 3.66 FIP	22	SU	3.66	17.1%	8.6%	1.7%	.286	4.62	15.8%	8.1%	152	+0.96	3.66	173	86
Logan Lombana R 2016 · 4.04 FIP	22	SU	4.04	16.8%	10.9%	1.8%	.316	4.02	15.4%	8.7%	97	-0.02	3.80	155	86
Anyelo Leclerc R 2015 · 5.00 FIP	23	SU	5.00	16.2%	9.8%	3.7%	.326	4.65	15.9%	6.1%	96	-0.35	4.65	140	86
Alex Burnett R 2010 · 4.37 FIP	23	SU	4.37	17.5%	9.5%	2.8%	.311	3.80	12.9%	5.3%	122	-0.57	3.68	170	86
Geoff Hartlieb R 2016 · 4.87 FIP	22	SU	4.87	15.9%	9.4%	3.5%	.287	3.68	20.7%	11.7%	197	-1.19	3.03	570	86