Josh Taylor — OGILVIE

Josh Taylor P Omaha Storm Chasers

Age 33 LHP 6'5" / 245 lbs AAA peak 0.1 · 2026

2026 ROS PROJECTION0 act + 12 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 96104vR 112

ERA4.07

FIP4.16

K%26.4%

BB%8.8%

K-BB%17.6%

ROS IP12

Value2026 · WAR

Runs saved vs league avg · 12 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6565

CTRL4545

CMD6565

K†6060

Statcast Percentiles

FB Velo

p2692.8

Whiff%

p8030.0%

p9031.3%

xwOBA vs

p330.332

SL-2.5

FB-3.1

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	22	A MLE	Kane County Cougars	24	24	127	555	123	44	8	100%	5.3	16.4%	9.4%	7.0%	2.1%	3.96	4.07	—
2015	22	A RAW	Kane County Cougars	24	24	127	555	123	44	8	100%	5.3	22.2%	7.9%	14.2%	1.4%	3.96	3.02	—
2016	23	MIX MLE	2 levels	26	24	133	587	123	42	11	92%	5.1	16.4%	8.1%	8.4%	2.0%	5.36	3.84	—
2016	23	MIX RAW	2 levels	26	24	133	587	123	42	11	92%	5.1	21.0%	7.2%	13.8%	1.9%	5.36	3.27	—
2017	24	MIX MLE	2 levels	34	14	98	439	92	46	7	41%	2.9	16.9%	11.6%	5.3%	2.0%	4.96	4.22	—
2017	24	MIX RAW	2 levels	34	14	98	439	92	46	7	41%	2.9	21.0%	10.5%	10.5%	1.6%	4.96	3.56	—
2018	25	MIX MLE	3 levels	48	0	54	244	60	22	2	0%	1.1	19.1%	10.3%	8.8%	1.0%	3.35	3.31	—
2018	25	MIX RAW	3 levels	48	0	54	244	60	22	2	0%	1.1	24.6%	9.0%	15.6%	0.8%	3.35	2.58	—
2019	26	MIX MLE	2 levels	72	1	71	291	94	26	7	1%	1.0	31.0%	9.1%	21.9%	2.5%	2.93	3.01	+1.3
2019	26	MIX RAW	2 levels	72	1	71	291	94	26	7	1%	1.0	32.3%	8.9%	23.4%	2.4%	2.93	2.83	+1.5
2020	27	MLB MLE	Boston Red Sox	8	0	7	36	7	5	2	0%	0.9	19.4%	13.9%	5.6%	5.6%	9.82	6.27	-0.1
2020	27	MLB RAW	Boston Red Sox	8	0	7	36	7	5	2	0%	0.9	19.4%	13.9%	5.6%	5.6%	9.82	6.78	-0.2
2021	28	MLB MLE	Boston Red Sox	61	0	48	209	60	20	2	0%	0.8	28.7%	9.6%	19.1%	1.0%	3.40	2.43	+1.2
2021	28	MLB RAW	Boston Red Sox	61	0	48	209	60	20	2	0%	0.8	28.7%	9.6%	19.1%	1.0%	3.40	2.39	+1.2
2022	29	MIX MLE	2 levels	13	7	12	57	12	3	3	54%	0.9	21.1%	5.3%	15.8%	5.3%	6.00	4.88	—
2022	29	MIX RAW	2 levels	13	7	12	57	12	3	3	54%	0.9	21.1%	5.3%	15.8%	5.3%	6.00	5.10	—
2023	30	MIX MLE	2 levels	22	1	23	108	31	9	5	5%	1.0	31.3%	9.6%	21.7%	5.2%	7.83	4.54	+0.0
2023	30	MIX MLE	2 levels	22	1	23	108	31	9	5	5%	1.0	31.3%	9.6%	21.7%	5.2%	7.83	4.54	+0.0
2023	30	MIX RAW	2 levels	22	1	23	108	31	9	5	5%	1.0	28.7%	8.3%	20.4%	4.6%	7.83	4.40	+0.0
2024	31	MIX MLE	2 levels	6	0	6	28	3	3	1	0%	0.9	10.7%	10.7%	0.0%	3.6%	7.94	5.51	—
2024	31	MIX MLE	2 levels	6	0	6	28	3	3	1	0%	0.9	10.7%	10.7%	0.0%	3.6%	7.94	5.51	—
2024	31	MIX RAW	2 levels	6	0	6	28	3	3	1	0%	0.9	10.7%	10.7%	0.0%	3.6%	7.94	5.92	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			138	2	120	522	155	48	13	1%	0.9	29.7%	9.2%	20.5%	2.5%	4.35	3.12	+2.0
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	33	MLB	KC	11	0	12	51	13	4	2	0%	1.1	26.4%	8.8%	17.6%	3.3%	4.07	4.16	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	KC	132	0	139	587	150	54	21	0%	1.1	25.5%	9.3%	16.2%	3.6%	4.31	4.46	+0.1
2028	35	MLB MLE	KC	119	0	125	527	129	52	21	0%	1.0	24.5%	9.8%	14.7%	3.9%	4.60	4.80	-0.4
2027	34	MLB CTX	KC	—	—	0	—	—	—	—	—	—	25.5%	9.3%	16.2%	3.6%	4.31	4.46	—
2028	35	MLB CTX	KC	—	—	0	—	—	—	—	—	—	24.5%	9.8%	14.7%	3.9%	4.60	4.80	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		138	2	120	522	155	48	13	1%	0.9	29.7%	9.2%	20.5%	2.5%	4.35	3.12	+2.0
/ 200 IP	—	RAW		230	3	200	870	258	80	22	1%	0.9	29.7%	9.2%	20.5%	2.5%	4.35	3.12	+3.4
Career	—	MLE		314	71	578	2554	514	243	55	23%	1.8	20.1%	9.5%	10.6%	2.2%	4.53	3.80	+1.8
/ 200 IP	—	MLE		109	25	200	884	178	84	19	23%	1.8	20.1%	9.5%	10.6%	2.2%	4.53	3.80	+0.9

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
Josh Taylor (OGILVIE)	—	—	4.16	26.4%	8.8%	3.3%	—	4.62	25.0%	15.5%	264	+0.46	—	—	—
Brandon Mann L 2017 · 4.24 FIP	33	SU	4.24	19.8%	11.3%	2.5%	.286	3.59	17.8%	6.4%	52	-0.65	3.59	190	60
Chris Narveson L 2015 · 4.79 FIP	33	SW	4.79	23.6%	8.0%	4.9%	.333	4.59	14.1%	4.5%	193	-0.20	4.59	249	58
Rich Hill L 2015 · 3.27 FIP	35	SW	3.27	26.8%	10.9%	1.9%	.239	3.07	29.0%	21.2%	379	-0.20	2.05	1,030	58
Cesár Ramos L 2017 · 4.23 FIP	33	SW	4.23	16.7%	8.3%	2.7%	.295	—	—	—	—	—	2.80	225	56
Neal Cotts L 2015 · 4.66 FIP	35	SU	4.66	21.6%	7.4%	4.4%	.257	3.77	21.9%	14.5%	93	-0.89	3.21	156	56
Roenis Elías L 2022 · 4.06 FIP	33	SW	4.06	17.4%	7.2%	2.8%	.316	6.66	17.4%	12.2%	21	+2.60	3.15	564	54
Luke Westphal L 2022 · 4.35 FIP	33	SW	4.35	24.2%	13.4%	2.9%	.302	5.24	15.2%	-1.2%	26	+0.89	2.97	294	54
Brian Moran L 2022 · 4.20 FIP	33	SU	4.20	21.7%	7.0%	3.7%	.304	3.76	21.0%	14.0%	152	-0.44	1.80	421	54
Josh Edgin L 2018 · 3.63 FIP	31	SU	3.63	29.2%	9.2%	3.3%	.324	—	—	—	—	—	3.63	113	53
David Huff L 2016 · 4.06 FIP	31	SW	4.06	19.5%	4.9%	3.6%	.384	—	—	—	—	—	3.40	158	52
Alejandro Soto L 2019 · 4.03 FIP	33	SW	4.03	17.1%	6.9%	2.7%	.376	—	—	—	—	—	3.96	280	52
Craig Breslow L 2015 · 4.94 FIP	34	SU	4.94	16.4%	6.4%	4.4%	.279	4.42	16.2%	6.5%	94	-0.52	4.22	159	51
Rex Brothers L 2021 · 4.36 FIP	33	SU	4.36	31.8%	14.0%	4.0%	.269	—	—	—	—	—	3.10	205	51
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	49
Héctor Santiago L 2021 · 4.32 FIP	33	SW	4.32	28.4%	9.3%	4.4%	.303	—	—	—	—	—	4.32	713	48
Colt Hynes L 2017 · 3.75 FIP	32	SW	3.75	14.1%	4.6%	2.3%	.306	—	—	—	—	—	3.42	152	47
Zach Phillips L 2019 · 3.67 FIP	32	SU	3.67	19.1%	8.5%	2.0%	.355	—	—	—	—	—	2.33	202	45
Brooks Raley L 2021 · 3.06 FIP	33	SU	3.06	31.7%	7.8%	3.0%	.314	2.71	26.8%	18.8%	108	-0.35	1.74	255	45
Phil Coke L 2015 · 3.89 FIP	33	SU	3.89	18.8%	9.1%	2.2%	.373	3.04	18.0%	11.3%	70	-0.85	3.04	101	45
Adam Loewen L 2017 · 4.22 FIP	33	SU	4.22	23.4%	17.4%	1.6%	.293	—	—	—	—	—	2.96	176	44

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	2.1	139	25.5%	9.2%	1.38	4.31
Triston McKenzie ('24)	2.1	105	26.0%	9.4%	1.52	3.94
Kutter Crawford ('24)	2.0	130	23.9%	7.2%	1.45	4.47
Luis Garcia ('23)	1.7	113	25.5%	7.7%	1.19	3.63
Dan Straily ('19)	2.7	136	20.0%	8.9%	1.72	4.54
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Mike Foltynewicz ('21)	4.0	134	21.4%	7.7%	1.46	4.45