Taylor Hearn prospect projection, MLE, ETA

Taylor Hearn P Omaha Storm Chasers

Age 31 LHP 6'6" / 230 lbs AAA peak 0.1 · 2026

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 62 proj IP

wRC+ AGAINSTvL 102110vR 118

ERA4.47

FIP4.47

K%23.3%

BB%10.0%

K-BB%13.3%

ROS IP63

Value2026 · WAR

Runs saved vs league avg · 62 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL4545

CMD4545

K†5555

Statcast Percentiles

FB Velo

p6595.6

Whiff%

p3423.0%

p3319.7%

xwOBA vs

p100.374

SL+0.6

FB-5.2

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)
2015	20	ROK MLE	GCL Nationals	2	1	5	20	7	2	0	50%	2.5	35.0%	10.0%	25.0%	0.0%	0.00	1.41	—
2015	20	ROK RAW	GCL Nationals	2	1	5	20	7	2	0	50%	2.5	35.0%	10.0%	25.0%	0.0%	0.00	1.50	—
2016	21	MIX MLE	2 levels	18	7	52	215	75	23	6	39%	2.9	26.1%	10.6%	15.5%	3.2%	2.44	3.99	—
2016	21	MIX RAW	2 levels	18	7	52	215	75	23	6	39%	2.9	34.9%	10.7%	24.2%	2.8%	2.44	3.04	—
2017	22	MIX MLE	2 levels	19	18	89	362	109	37	8	95%	4.7	22.9%	12.0%	11.0%	2.9%	4.03	4.26	—
2017	22	MIX RAW	2 levels	19	18	89	362	109	37	8	95%	4.7	30.1%	10.2%	19.9%	2.2%	4.03	3.07	—
2018	23	AA MLE	Frisco RoughRiders	24	24	129	535	140	46	11	100%	5.4	21.2%	9.5%	11.7%	2.3%	3.49	3.75	—
2018	23	AA RAW	Frisco RoughRiders	24	24	129	535	140	46	11	100%	5.4	26.2%	8.6%	17.6%	2.1%	3.49	3.11	—
2019	24	MIX MLE	2 levels	5	5	20	92	26	14	3	100%	4.1	27.2%	12.5%	14.7%	3.9%	5.75	4.54	+0.1
2019	24	MIX RAW	2 levels	5	5	20	92	26	14	3	100%	4.1	28.3%	15.2%	13.0%	3.3%	5.75	4.53	+0.1
2020	25	MLB MLE	Texas Rangers	14	0	17	76	23	11	2	0%	1.2	30.3%	14.5%	15.8%	2.4%	3.63	3.72	+0.2
2020	25	MLB RAW	Texas Rangers	14	0	17	76	23	11	2	0%	1.2	30.3%	14.5%	15.8%	2.6%	3.63	3.85	+0.1
2021	26	MLB MLE	Texas Rangers	42	11	104	441	92	41	17	26%	2.5	20.9%	9.3%	11.6%	3.6%	4.66	4.48	+0.1
2021	26	MLB RAW	Texas Rangers	42	11	104	441	92	41	17	26%	2.5	20.9%	9.3%	11.6%	3.9%	4.66	4.63	-0.1
2022	27	MIX MLE	2 levels	34	15	112	498	117	49	14	44%	3.3	21.6%	9.6%	12.0%	2.3%	5.22	3.74	+1.1
2022	27	MIX RAW	2 levels	34	15	112	498	117	49	14	44%	3.3	23.5%	9.8%	13.7%	2.8%	5.22	3.95	+0.8
2023	28	MIX MLE	2 levels	49	2	69	322	91	41	7	4%	1.4	25.0%	11.7%	13.2%	2.4%	5.09	3.81	+0.6
2023	28	MIX MLE	2 levels	49	2	69	322	91	41	7	4%	1.4	25.0%	11.7%	13.2%	2.4%	5.09	3.81	+0.6
2023	28	MIX RAW	2 levels	49	2	69	322	91	41	7	4%	1.4	28.3%	12.7%	15.5%	2.2%	5.09	3.56	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			101	25	237	1050	227	107	34	25%	2.3	21.6%	10.2%	11.4%	3.2%	5.35	4.40	+0.4
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	31	MLB	KC	—	—	0	—	—	—	—	—	—	23.3%	10.0%	13.3%	3.1%	4.47	4.47	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	KC	51	0	54	228	51	24	8	0%	1.1	22.5%	10.4%	12.1%	3.3%	4.62	4.73	-0.1
2028	33	MLB MLE	KC	47	0	50	209	45	23	8	0%	1.1	21.7%	10.9%	10.8%	3.6%	4.85	5.01	-0.3
2027	32	MLB CTX	KC	19	0	20	84	19	9	3	0%	1.1	22.5%	10.4%	12.1%	3.3%	4.62	4.73	-0.0
2028	33	MLB CTX	KC	26	0	27	114	25	12	4	0%	1.0	21.7%	10.9%	10.8%	3.6%	4.85	5.01	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		146	25	284	1249	271	128	41	17%	1.9	21.7%	10.3%	11.4%	3.3%	5.25	4.37	+0.6
/ 200 IP	—	RAW		103	18	200	879	191	90	29	17%	1.9	21.7%	10.3%	11.4%	3.3%	5.25	4.37	+0.4
Career	—	MLE		207	83	598	2561	588	267	70	40%	2.9	22.9%	10.4%	12.5%	2.7%	4.24	3.98	+0.0
/ 200 IP	—	MLE		69	28	200	857	196	89	23	40%	2.9	22.9%	10.4%	12.5%	2.7%	4.24	3.98	+0.0

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
Taylor Hearn (OGILVIE)	—	—	4.47	23.3%	10.0%	3.1%	—	4.86	22.1%	11.5%	103	+0.39	—	—	—
Luke Westphal L 2021 · 4.70 FIP	32	SP-	4.70	22.7%	13.1%	3.4%	.321	4.58	21.9%	7.6%	95	-0.12	2.97	294	76
Ryan Verdugo L 2017 · 3.36 FIP	30	SP-	3.36	22.7%	5.4%	2.7%	.333	—	—	—	—	—	3.36	153	70
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	69
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	66
Santiago Gutierrez L 2017 · 3.95 FIP	31	SP-	3.95	15.0%	8.2%	2.0%	.366	6.54	17.1%	3.7%	46	+2.59	3.90	341	63
Tyler Alexander L 2021 · 5.27 FIP	29	SW	5.27	15.7%	10.7%	3.9%	.272	—	—	—	—	—	5.27	128	62
Jason Gurka L 2019 · 5.13 FIP	31	SW	5.13	15.5%	7.6%	4.3%	.382	—	—	—	—	—	2.82	183	62
Justin Marks L 2017 · 3.83 FIP	29	SW	3.83	18.7%	11.0%	1.7%	.317	—	—	—	—	—	3.83	324	61
Andy Otero L 2022 · 4.36 FIP	30	SW	4.36	14.5%	8.9%	2.5%	.308	—	—	—	—	—	2.86	200	59
Brian Moran L 2019 · 3.40 FIP	30	SU	3.40	26.9%	10.0%	2.4%	.269	2.99	25.5%	18.5%	99	-0.41	1.80	421	58
Jeremy Bleich L 2018 · 3.69 FIP	31	SU	3.69	20.3%	6.6%	2.7%	.296	4.41	20.1%	13.1%	33	+0.72	3.20	241	58
Anthony Vasquez L 2018 · 4.64 FIP	31	SW	4.64	17.1%	8.9%	3.4%	.322	6.00	14.6%	7.3%	85	+1.36	4.02	671	56
Nick Hagadone L 2017 · 3.74 FIP	31	SU	3.74	22.6%	9.3%	2.5%	.267	—	—	—	—	—	2.97	141	56
Alejandro Soto L 2017 · 4.36 FIP	31	SW	4.36	13.8%	3.3%	3.7%	.323	4.03	17.1%	10.2%	61	-0.33	3.96	280	56
Edward Paredes L 2018 · 3.81 FIP	31	SU	3.81	22.7%	11.9%	2.0%	.351	5.10	21.5%	14.2%	18	+1.29	2.36	130	55
Sean Nolin L 2021 · 4.54 FIP	31	SP-	4.54	20.4%	8.9%	3.7%	.316	5.87	19.3%	12.9%	23	+1.33	3.79	309	54
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	54
Cory Luebke L 2016 · 3.88 FIP	31	SU	3.88	26.4%	9.1%	3.4%	.354	—	—	—	—	—	2.80	216	54
Chris Capuano L 2010 · 4.06 FIP	31	SW	4.06	19.4%	7.2%	3.1%	.287	3.77	19.8%	14.1%	490	-0.29	3.40	1,458	54
George Sherrill L 2008 · 3.86 FIP	31	SU	3.86	24.3%	11.3%	2.5%	.277	3.38	20.6%	12.4%	141	-0.48	2.74	323	54

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 714 reliever careers (1990-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.0	80	22.0%	10.3%	1.27	5.06
Justin Grimm ('22)	1.9	75	23.0%	10.1%	1.17	5.10
Bobby Ayala ('99)	2.9	72	21.3%	9.7%	1.11	4.78
Brian Matusz ('16)	2.6	76	19.8%	8.7%	1.34	4.92
Manny Parra ('15)	3.1	78	20.8%	10.6%	1.00	4.90
Vladimir Nunez ('09)	2.2	74	17.0%	10.3%	1.12	4.83
Jay Witasick ('07)	3.7	73	19.6%	11.0%	1.19	4.64