Kyle Hill

P Arkansas Travelers

Age 30 RHP 5'11" / 200 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	25	MIX2 levels	28	33	2.43	3.13	28.7%	13.3%	—	K 22.7% · BB 14.9% · FIP 3.87
2023	26	A+SEA	39	38	2.63	2.89	30.6%	10.6%	—	K 23.6% · BB 12.2% · FIP 3.93
2024	27	AASEA	38	35	5.91	3.96	28.7%	11.9%	—	K 23.3% · BB 13.1% · FIP 5.30
2027PROJ	30	MLBSEA	19	20	4.52	4.52	23.4%	10.6%	0.0
2028PROJ31% MLB	31	MLBSEA	6	6	4.62	4.70	23.0%	10.8%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJoe Nelson (age 31) · Neil Wagner (age 29) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.52

FIP4.52

K%23.4%

BB%10.6%

K-BB%12.8%

Proj IP20

Value2027 · WAR

Runs saved vs league avg · 20 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 + 2027 so far)
2019	22	A MLE	West Virginia Power	14	0	19	91	21	7	4	0%	1.4	17.1%	9.1%	8.0%	5.6%	6.05	5.89	—
2019	22	A RAW	West Virginia Power	14	0	19	91	21	7	4	0%	1.4	23.1%	7.7%	15.4%	4.4%	6.05	4.70	—
2021	24	A+ MLE	Everett AquaSox	26	0	32	139	36	21	0	0%	1.2	19.9%	17.4%	2.6%	0.0%	3.94	3.62	—
2021	24	A+ RAW	Everett AquaSox	26	0	32	139	36	21	0	0%	1.2	25.9%	15.1%	10.8%	0.0%	3.94	2.82	—
2022	25	MIX MLE	2 levels	28	0	33	143	41	19	2	0%	1.2	22.7%	14.9%	7.8%	1.5%	2.43	3.87	—
2022	25	MIX RAW	2 levels	28	0	33	143	41	19	2	0%	1.2	28.7%	13.3%	15.4%	1.4%	2.43	3.13	—
2023	26	A+ MLE	Everett AquaSox	39	0	38	160	49	17	3	0%	1.0	23.6%	12.2%	11.4%	2.3%	2.63	3.93	—
2023	26	A+ RAW	Everett AquaSox	39	0	38	160	49	17	3	0%	1.0	30.6%	10.6%	20.0%	1.9%	2.63	2.89	—
2024	27	AA MLE	Arkansas Travelers	38	0	35	160	46	19	5	0%	0.9	23.3%	13.1%	10.2%	4.6%	5.91	5.30	—
2024	27	AA MLE	Arkansas Travelers	38	0	35	160	46	19	5	0%	0.9	23.3%	13.1%	10.2%	4.6%	5.91	5.30	—
2024	27	AA RAW	Arkansas Travelers	38	0	35	160	46	19	5	0%	0.9	28.7%	11.9%	16.9%	3.1%	5.91	3.96	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	SEA	19	0	20	84	20	9	3	0%	1.1	23.4%	10.6%	12.8%	3.1%	4.52	4.52	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	SEA	19	0	20	84	19	9	3	0%	1.1	23.0%	10.8%	12.2%	3.3%	4.62	4.70	-0.0
2028	31	MLB CTX	SEA	6	0	6	25	6	3	1	0%	1.0	23.0%	10.8%	12.2%	3.3%	4.62	4.70	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	23.0%	10.8%	12.2%	3.3%	4.62	4.33	+0.0
/ 200 IP	—	RAW		190	0	200	844	192	96	32	0%	1.1	23.0%	10.8%	12.2%	3.3%	4.62	4.33	+0.5
Career	—	MLE		145	0	157	693	151	94	18	0%	1.1	21.8%	13.6%	8.2%	2.6%	4.00	4.43	-0.0
/ 200 IP	—	MLE		184	0	200	881	192	120	23	0%	1.1	21.8%	13.6%	8.2%	2.6%	4.00	4.43	-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
Kyle Hill (OGILVIE)	—	—	4.52	23.4%	10.6%	3.1%	—	4.70	23.0%	12.2%	20	+0.18	—	—	—
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	90
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	85
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	84
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	83
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	81
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	80
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	78
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	78
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	77
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	77
Kiko Calero R 2005 · 3.51 FIP	30	SU	3.51	22.7%	7.0%	2.6%	.252	3.23	23.3%	13.9%	99	-0.28	2.27	298	76
Jose Manuel Lopez R 2015 · 5.21 FIP	30	SU	5.21	18.6%	7.6%	4.9%	.373	3.56	18.5%	9.3%	93	-1.65	3.50	170	75
Leonel Campos R 2017 · 3.70 FIP	30	SU	3.70	25.7%	11.8%	2.3%	.241	—	—	—	—	—	2.62	168	75
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	74
Chris Smith R 2018 · 3.72 FIP	29	SU	3.72	24.1%	9.3%	2.7%	.319	—	—	—	—	—	2.17	199	74
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	74
Manny Acosta R 2011 · 3.75 FIP	30	SU	3.75	22.5%	7.4%	2.9%	.321	4.49	21.3%	10.2%	47	+0.74	3.08	350	73
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	335	73
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	73
Kazuhiro Sasaki R 2000 · 3.93 FIP	32	SU	3.93	29.4%	9.8%	3.8%	.212	2.88	24.9%	19.3%	161	-1.05	2.76	223	73