Tim Hill — OGILVIE

Tim Hill P New York Yankees

Age 36 LHP 6'4" / 210 lbs MLB

2026 ROS PROJECTION55 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 99107vR 115

ERA3.96

FIP4.27

K%11.5%

BB%5.3%

K-BB%6.1%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 60 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF3030

CTRL6060

CMD3030

K†3030

Statcast Percentiles

FB Velo

p1089.2

Whiff%

p1013.7%

p1011.1%

xwOBA vs

p360.328

FB+4.6 (89%)

SL+0.6 (11%)

SI (83%)

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)
2016	26	MIX MLE	2 levels	44	0	63	266	62	24	9	0%	1.4	18.7%	10.1%	8.6%	4.3%	3.43	5.14	—
2016	26	MIX RAW	2 levels	44	0	63	266	62	24	9	0%	1.4	23.3%	9.0%	14.3%	3.4%	3.43	4.13	—
2017	27	MIX MLE	2 levels	40	0	74	322	84	22	2	0%	1.9	20.5%	6.3%	14.2%	0.7%	4.26	2.57	—
2017	27	MIX RAW	2 levels	40	0	74	322	84	22	2	0%	1.9	26.1%	6.8%	19.3%	0.6%	4.26	2.07	—
2018	28	MLB MLE	Kansas City Royals	70	0	46	198	42	14	4	0%	0.7	21.2%	7.1%	14.1%	2.2%	4.53	3.40	+0.6
2018	28	MLB RAW	Kansas City Royals	70	0	46	198	42	14	4	0%	0.7	21.2%	7.1%	14.1%	2.0%	4.53	3.32	+0.7
2019	29	MIX MLE	2 levels	73	0	69	280	69	17	6	0%	0.9	23.4%	6.2%	17.2%	2.3%	2.99	3.18	+1.1
2019	29	MIX RAW	2 levels	73	0	69	280	69	17	6	0%	0.9	24.6%	6.1%	18.6%	2.1%	2.99	2.97	+1.3
2020	30	MLB MLE	San Diego Padres	23	0	18	79	20	5	3	0%	0.8	25.3%	6.3%	19.0%	3.7%	4.50	3.80	+0.2
2020	30	MLB RAW	San Diego Padres	23	0	18	79	20	5	3	0%	0.8	25.3%	6.3%	19.0%	3.8%	4.50	3.88	+0.1
2021	31	MLB MLE	San Diego Padres	78	0	60	255	56	18	9	0%	0.8	22.0%	7.1%	14.9%	3.4%	3.62	4.03	+0.4
2021	31	MLB RAW	San Diego Padres	78	0	60	255	56	18	9	0%	0.8	22.0%	7.1%	14.9%	3.5%	3.62	4.09	+0.3
2022	32	MLB MLE	San Diego Padres	55	0	48	199	25	13	1	0%	0.9	12.6%	6.5%	6.0%	0.5%	3.56	3.14	+0.8
2022	32	MLB RAW	San Diego Padres	55	0	48	199	25	13	1	0%	0.9	12.6%	6.5%	6.0%	0.5%	3.56	3.14	+0.8
2023	33	MIX MLE	3 levels	50	0	46	214	28	14	7	0%	0.9	12.9%	6.9%	5.9%	3.4%	6.26	4.75	-0.1
2023	33	MIX MLE	3 levels	50	0	46	214	28	14	7	0%	0.9	12.9%	6.9%	5.9%	3.4%	6.26	4.75	-0.1
2023	33	MIX RAW	3 levels	50	0	46	214	28	14	7	0%	0.9	13.1%	6.5%	6.5%	3.3%	6.26	4.77	-0.1
2024	34	MLB MLE	New York Yankees	62	0	67	291	31	17	2	0%	1.1	10.7%	5.8%	4.8%	0.6%	3.36	3.29	+1.0
2024	34	MLB MLE	New York Yankees	62	0	67	291	31	17	2	0%	1.1	10.7%	5.8%	4.8%	0.6%	3.36	3.29	+1.0
2024	34	MLB RAW	New York Yankees	62	0	67	291	31	17	2	0%	1.1	10.7%	5.8%	4.8%	0.7%	3.36	3.32	+1.0
2025	35	MLB MLE	New York Yankees	70	0	67	269	37	13	8	0%	1.0	13.8%	4.8%	8.9%	2.8%	3.09	4.08	+0.4
2025	35	MLB MLE	New York Yankees	70	0	67	269	37	13	8	0%	1.0	13.8%	4.8%	8.9%	2.8%	3.09	4.08	+0.4
2025	35	MLB RAW	New York Yankees	70	0	67	269	37	13	8	0%	1.0	13.8%	4.8%	8.9%	3.0%	3.09	4.13	+0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			515	0	445	1880	301	116	49	0%	0.9	16.0%	6.2%	9.8%	2.6%	3.95	3.96	+3.1
▸ 2026 season
YTD	36	MLB MLE	New York Yankees	63	0	55	226	25	11	11	0%	0.9	11.1%	4.9%	6.2%	4.6%	4.72	5.29	-0.5
YTD	36	MLB MLE	New York Yankees	63	0	55	226	25	11	11	0%	0.9	11.1%	4.9%	6.2%	4.6%	4.72	5.29	-0.5
▸ 2026 season — so far · projected rest · full
2026	36	MLB RAW	NYY	63	0	55	226	25	11	11	0%	0.9	11.1%	4.9%	6.2%	4.9%	4.72	5.45	-0.6
SO FAR	36	MLB RAW	NYY	63	0	55	226	25	11	11	0%	0.9	11.1%	4.9%	6.2%	4.9%	4.72	5.45	-0.6
ROS	36	MLB MLE	NYY	5	0	5	21	2	1	1	0%	1.0	11.5%	5.3%	6.1%	2.7%	3.96	4.27	+0.0
ROS	36	MLB CTX	NYY	5	0	5	21	2	1	1	0%	1.0	11.5%	5.3%	6.1%	2.7%	3.96	4.27	+0.0
2026 TOT	36	MLB MLE	NYY	—	—	60	247	27	12	12	—	—	11.1%	4.9%	6.2%	4.7%	4.65	5.20	-0.4
FULL	36	MLB A+C	NYY	—	—	60	255	27	12	12	—	—	10.8%	4.8%	6.0%	4.5%	4.65	5.28	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	37	MLB MLE	NYY	46	0	48	204	21	12	7	0%	1.0	10.5%	6.0%	4.5%	3.6%	5.05	5.33	-0.4
2028	38	MLB MLE	NYY	40	0	42	175	18	12	7	0%	1.0	10.0%	6.7%	3.3%	4.1%	5.45	5.71	-0.5
2027	37	MLB CTX	NYY	46	0	48	203	21	12	7	0%	1.0	10.5%	6.0%	4.5%	3.6%	5.05	5.33	-0.4
2028	38	MLB CTX	NYY	40	0	42	177	18	12	7	0%	1.1	10.0%	6.7%	3.3%	4.1%	5.45	5.71	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		605	0	539	2280	342	141	64	0%	0.9	15.0%	6.2%	8.8%	2.8%	4.16	4.16	+2.5
/ 200 IP	—	RAW		224	0	200	845	127	52	24	0%	0.9	15.0%	6.2%	8.8%	2.8%	4.16	4.16	+0.9
Career	—	MLE		628	0	613	2599	445	170	64	0%	1.0	17.1%	6.5%	10.6%	2.5%	3.91	3.84	+2.1
/ 200 IP	—	MLE		205	0	200	848	145	56	21	0%	1.0	17.1%	6.5%	10.6%	2.5%	3.91	3.84	+0.8

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
Tim Hill (OGILVIE)	—	—	4.53	12.0%	5.6%	2.4%	—	5.51	10.3%	3.9%	90	+0.98	—	—	—
Craig Breslow L 2017 · 4.22 FIP	36	SU	4.22	14.5%	7.5%	2.5%	.308	5.13	17.8%	2.7%	19	+0.91	4.22	159	74
Fernando Abad L 2022 · 4.13 FIP	36	SU	4.13	15.6%	7.0%	2.7%	.290	4.37	21.1%	17.1%	38	+0.24	2.37	306	68
Neal Cotts L 2016 · 4.37 FIP	36	SU	4.37	18.0%	6.8%	3.5%	.290	3.21	25.5%	17.5%	48	-1.16	3.21	156	67
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	62
Jorge De La Rosa L 2017 · 4.09 FIP	36	SU	4.09	20.5%	7.8%	3.2%	.260	4.07	19.3%	9.8%	56	-0.02	3.86	405	58
Brandon Mann L 2018 · 3.59 FIP	34	SU	3.59	17.8%	11.4%	1.0%	.232	—	—	—	—	—	3.59	190	52
Zach Duke L 2019 · 5.62 FIP	36	SU	5.62	17.0%	16.0%	3.5%	.254	—	—	—	—	—	2.44	215	49
Jerry Blevins L 2019 · 4.09 FIP	35	SU	4.09	26.2%	9.9%	3.5%	.235	—	—	—	—	—	2.71	166	46
Jim Johnson R 2018 · 4.48 FIP	35	SU	4.48	16.8%	7.8%	3.3%	.285	—	—	—	—	—	2.56	251	37
Wilfredo Ledezma L 2017 · 3.35 FIP	36	SU	3.35	26.7%	8.3%	2.7%	.302	—	—	—	—	—	2.58	109	37
Ronald Belisario R 2019 · 4.16 FIP	36	SU	4.16	12.7%	3.9%	3.0%	.322	—	—	—	—	—	2.10	126	34
Mark Lowe R 2017 · 5.03 FIP	34	SU	5.03	16.4%	10.0%	3.7%	.331	—	—	—	—	—	2.37	153	34
Blake Parker R 2021 · 3.86 FIP	36	SU	3.86	20.0%	7.6%	2.7%	.295	5.74	26.0%	14.0%	27	+1.88	2.52	339	34
Carlos Torres R 2019 · 4.28 FIP	36	SU	4.28	17.8%	9.0%	2.8%	.311	—	—	—	—	—	2.89	326	34
Erubiel Gonzalez R 2015 · 3.43 FIP	36	SU	3.43	12.4%	6.0%	1.1%	.328	3.26	14.8%	10.4%	69	-0.17	2.99	119	33
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	4.12	186	33
Ramon E Ramirez R 2017 · 3.49 FIP	35	SU	3.49	14.0%	5.8%	1.5%	.286	—	—	—	—	—	2.37	140	33
Chien-Ming Wang R 2016 · 4.53 FIP	36	SU	4.53	13.0%	7.8%	2.8%	.305	—	—	—	—	—	4.23	183	33
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	32
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	32

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.7	48	10.9%	6.1%	1.27	4.85
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45
Josh Fleming ('24)	1.3	51	14.6%	7.5%	1.17	4.77
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Brandon Kintzler ('21)	1.5	50	16.2%	6.3%	0.91	3.57