Taylor Rashi — OGILVIE

Taylor Rashi P Las Vegas Aviators

Age 30 RHP 6'4" / 220 lbs AAA peak 0.3 · 2026

2026 ROS PROJECTION58 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10597vR 89

ERA3.80

FIP3.80

K%22.8%

BB%10.3%

K-BB%12.4%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 63 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL5050

CMD5050

K†5555

Statcast Percentiles

FB Velo

p1090.0

Whiff%

p7629.3%

p9030.6%

xwOBA vs

p610.301

FB (42%)

CU (15%)

SL (26%)

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)
2019	23	ROK MLE	AZL Giants Orange	9	0	14	57	20	4	1	0%	1.5	23.9%	8.8%	15.1%	2.5%	1.32	3.54	—
2019	23	ROK RAW	AZL Giants Orange	9	0	14	57	20	4	1	0%	1.5	35.1%	7.0%	28.1%	1.8%	1.32	2.00	—
2021	25	A+ MLE	Eugene Emeralds	32	2	47	190	68	21	7	6%	1.5	27.6%	12.7%	14.8%	4.4%	4.44	4.79	—
2021	25	A+ RAW	Eugene Emeralds	32	2	47	190	68	21	7	6%	1.5	35.8%	11.1%	24.7%	3.7%	4.44	3.49	—
2022	26	AA MLE	Richmond Flying Squirrels	30	0	35	139	52	13	1	0%	1.2	30.3%	10.3%	20.0%	0.9%	2.83	2.35	—
2022	26	AA RAW	Richmond Flying Squirrels	30	0	35	139	52	13	1	0%	1.2	37.4%	9.4%	28.1%	0.7%	2.83	1.61	—
2023	27	MIX MLE	2 levels	11	3	14	58	18	5	0	27%	1.3	31.0%	8.6%	22.4%	0.0%	4.40	1.57	—
2023	27	MIX MLE	2 levels	11	3	14	58	18	5	0	27%	1.3	31.0%	8.6%	22.4%	0.0%	4.40	1.57	—
2023	27	MIX RAW	2 levels	11	3	14	58	18	5	0	27%	1.3	31.0%	8.6%	22.4%	0.0%	4.40	1.63	—
2024	28	MIX MLE	2 levels	41	0	52	240	62	30	7	0%	1.3	21.7%	13.0%	8.7%	3.1%	4.70	4.62	—
2024	28	MIX MLE	2 levels	41	0	52	240	62	30	7	0%	1.3	21.7%	13.0%	8.7%	3.1%	4.70	4.62	—
2024	28	MIX RAW	2 levels	41	0	52	240	62	30	7	0%	1.3	25.8%	12.5%	13.3%	2.9%	4.70	4.20	—
2025	29	MIX MLE	2 levels	50	2	84	364	94	38	5	4%	1.7	22.5%	9.6%	12.8%	1.7%	3.66	3.34	+1.2
2025	29	MIX MLE	2 levels	50	2	84	364	94	38	5	4%	1.7	22.5%	9.6%	12.8%	1.7%	3.66	3.34	+1.2
2025	29	MIX RAW	2 levels	50	2	84	364	94	38	5	4%	1.7	25.8%	10.4%	15.4%	1.4%	3.66	2.99	+1.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			14	0	22	98	27	11	1	0%	1.6	27.6%	11.2%	16.3%	1.0%	5.32	2.74	+0.5
▸ 2026 season
YTD	30	MLB MLE	Athletics	43	0	58	247	62	27	5	0%	1.3	21.4%	9.8%	11.6%	2.0%	3.41	3.62	—
YTD	30	MLB MLE	Athletics	43	0	58	247	62	27	5	0%	1.3	21.4%	9.8%	11.6%	2.0%	3.41	3.62	—
▸ 2026 season — so far · projected rest · full
2026	30	AAA RAW	OAK	39	0	52	221	57	24	4	0%	1.3	25.8%	10.9%	14.9%	1.8%	2.92	3.29	—
2026	30	MLB RAW	OAK	4	0	6	26	5	3	1	0%	1.4	19.2%	11.5%	7.7%	3.8%	7.94	5.05	—
SO FAR	30	MLB RAW	OAK	4	0	6	26	5	3	1	0%	1.4	19.2%	11.5%	7.7%	3.8%	7.94	5.05	—
ROS	30	MLB MLE	OAK	5	0	5	23	5	2	1	0%	1.1	22.8%	10.3%	12.4%	2.4%	3.80	3.80	+0.0
ROS	30	MLB CTX	OAK	5	0	5	21	5	2	1	0%	1.0	22.8%	10.3%	12.4%	2.4%	3.80	3.80	+0.0
2026 TOT	30	MLB MLE	OAK	—	—	63	270	67	29	6	—	—	24.9%	10.9%	14.0%	2.1%	3.45	3.64	+0.7
FULL	30	MLB A+C	OAK	—	—	11	47	67	29	6	—	—	142.9%	62.4%	80.5%	11.8%	19.62	5.42	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	OAK	58	0	61	256	56	27	7	0%	1.0	21.9%	10.7%	11.3%	2.8%	4.39	4.49	+0.0
2028	32	MLB MLE	OAK	53	0	56	237	50	26	7	0%	1.1	21.3%	10.9%	10.3%	3.0%	4.59	4.73	-0.1
2027	31	MLB CTX	OAK	55	0	58	245	54	26	7	0%	1.1	21.9%	10.7%	11.3%	2.8%	4.39	4.49	+0.0
2028	32	MLB CTX	OAK	50	0	53	224	48	25	7	0%	1.1	21.3%	10.9%	10.3%	3.0%	4.59	4.73	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		125	0	138	590	134	64	15	0%	1.1	22.6%	10.9%	11.8%	2.6%	4.59	3.96	+1.0
/ 200 IP	—	RAW		180	0	200	852	194	92	22	0%	1.1	22.6%	10.9%	11.8%	2.6%	4.59	3.96	+1.4
Career	—	MLE		216	7	303	1295	313	139	29	3%	1.4	24.2%	10.7%	13.4%	2.3%	3.74	3.67	+0.4
/ 200 IP	—	MLE		143	5	200	855	207	92	19	3%	1.4	24.2%	10.7%	13.4%	2.3%	3.74	3.67	+0.6

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 Rashi (OGILVIE)	—	—	4.17	22.9%	10.3%	2.4%	—	4.61	21.6%	10.8%	117	+0.44	—	—	—
Greg Holland R 2015 · 3.21 FIP	29	SU	3.21	25.4%	13.0%	1.1%	.316	3.45	26.4%	14.2%	104	+0.24	1.97	268	78
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.95	260	74
Blake Parker R 2016 · 3.21 FIP	31	SU	3.21	28.1%	8.5%	2.5%	.269	3.73	28.4%	21.3%	195	+0.52	2.52	339	74
Louis Coleman R 2016 · 3.87 FIP	30	SU	3.87	21.3%	10.4%	2.3%	.288	3.63	22.0%	10.9%	144	-0.24	3.10	256	74
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	74
Carlos Villanueva R 2015 · 3.62 FIP	31	SU	3.62	22.0%	7.6%	2.6%	.259	4.73	19.0%	15.9%	74	+1.11	3.62	135	74
Oliver Drake R 2017 · 3.42 FIP	30	SU	3.42	24.7%	9.2%	2.3%	.356	3.18	30.1%	22.1%	127	-0.24	2.26	317	72
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	71
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	71
Brian Schlitter R 2016 · 3.28 FIP	30	SU	3.28	20.6%	10.8%	1.0%	.333	3.81	14.4%	6.6%	110	+0.53	3.28	244	70
Carlos Fisher R 2015 · 3.45 FIP	32	SU	3.45	22.6%	11.6%	1.4%	.236	3.17	22.5%	11.1%	91	-0.28	2.48	147	70
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	70
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	70
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	69
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	69
John Axford R 2015 · 3.20 FIP	32	SU	3.20	24.8%	11.2%	1.4%	.333	3.97	21.5%	11.1%	141	+0.77	3.20	197	69
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	68
Chris Martin R 2015 · 3.24 FIP	29	SU	3.24	18.1%	7.0%	1.4%	.319	3.04	20.9%	19.2%	42	-0.20	1.76	416	68
Mark Serrano R 2016 · 3.16 FIP	30	SU	3.16	17.7%	6.5%	1.3%	.290	4.36	21.1%	14.0%	88	+1.20	3.16	120	68
Pat Venditte S 2015 · 3.75 FIP	30	SU	3.75	20.4%	9.7%	2.1%	.232	3.45	23.5%	14.2%	200	-0.30	2.21	317	68

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	0.9	61	22.1%	10.6%	1.05	4.37
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Cory Gearrin ('19)	1.1	57	21.5%	9.8%	0.79	3.42
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Archie Bradley ('21)	2.2	74	23.2%	9.8%	0.85	3.93