Taylor Rogers — OGILVIE

Taylor Rogers P Minnesota Twins

Age 35 LHP 6'3" / 190 lbs MLB peak 0.1 · 2026

2026 ROS PROJECTION53 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 94102vR 111

ERA3.79

FIP4.10

K%21.6%

BB%9.4%

K-BB%12.2%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 57 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL6060

CMD6060

K†6060

Statcast Percentiles

FB Velo

p1592.0

Whiff%

p1018.2%

p2919.1%

xwOBA vs

p440.318

CT+0.8 (14%)

SI (36%)

FB (36%)

SL-0.7 (50%)

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	24	AAA MLE	Rochester Red Wings	28	27	174	732	126	42	9	96%	6.2	15.1%	6.0%	9.1%	1.4%	3.98	3.36	—
2015	24	AAA RAW	Rochester Red Wings	28	27	174	732	126	42	9	96%	6.2	17.2%	5.7%	11.5%	1.2%	3.98	3.05	—
2016	25	MIX MLE	2 levels	64	2	79	349	79	19	8	3%	1.2	22.1%	5.5%	16.6%	2.3%	4.08	3.21	+1.3
2016	25	MIX RAW	2 levels	64	2	79	349	79	19	8	3%	1.2	22.6%	5.4%	17.2%	2.3%	4.08	3.14	+1.3
2017	26	MLB MLE	Minnesota Twins	69	0	56	237	49	16	6	0%	0.8	20.7%	6.8%	13.9%	2.5%	3.07	3.59	+0.6
2017	26	MLB RAW	Minnesota Twins	69	0	56	237	49	16	6	0%	0.8	20.7%	6.8%	13.9%	2.5%	3.07	3.60	+0.6
2018	27	MLB MLE	Minnesota Twins	72	0	68	260	75	13	3	0%	0.9	28.8%	5.0%	23.8%	1.1%	2.63	1.93	+2.2
2018	27	MLB RAW	Minnesota Twins	72	0	68	260	75	13	3	0%	0.9	28.8%	5.0%	23.8%	1.2%	2.63	2.05	+2.1
2019	28	MLB MLE	Minnesota Twins	60	0	69	278	90	9	8	0%	1.1	32.4%	3.2%	29.1%	2.9%	2.61	2.35	+1.8
2019	28	MLB RAW	Minnesota Twins	60	0	69	278	90	9	8	0%	1.1	32.4%	3.2%	29.1%	2.9%	2.61	2.39	+1.8
2020	29	MLB MLE	Minnesota Twins	21	0	20	91	24	4	2	0%	1.0	26.4%	4.4%	22.0%	2.2%	4.05	2.63	+0.5
2020	29	MLB RAW	Minnesota Twins	21	0	20	91	24	4	2	0%	1.0	26.4%	4.4%	22.0%	2.2%	4.05	2.60	+0.5
2021	30	MLB MLE	Minnesota Twins	40	0	40	166	59	6	4	0%	1.0	35.5%	3.6%	31.9%	2.4%	3.35	1.87	+1.3
2021	30	MLB RAW	Minnesota Twins	40	0	40	166	59	6	4	0%	1.0	35.5%	3.6%	31.9%	2.4%	3.35	1.91	+1.3
2022	31	MLB MLE	Milwaukee Brewers	66	0	64	274	84	17	7	0%	1.0	30.7%	6.2%	24.5%	2.4%	4.76	2.63	+1.5
2022	31	MLB RAW	Milwaukee Brewers	66	0	64	274	84	17	7	0%	1.0	30.7%	6.2%	24.5%	2.6%	4.76	2.70	+1.4
2023	32	MLB MLE	San Francisco Giants	60	0	52	216	64	22	6	0%	0.9	29.6%	10.2%	19.4%	3.0%	3.83	3.54	+0.6
2023	32	MLB MLE	San Francisco Giants	60	0	52	216	64	22	6	0%	0.9	29.6%	10.2%	19.4%	3.0%	3.83	3.54	+0.6
2023	32	MLB RAW	San Francisco Giants	60	0	52	216	64	22	6	0%	0.9	29.6%	10.2%	19.4%	2.8%	3.83	3.41	+0.7
2024	33	MLB MLE	San Francisco Giants	64	0	60	249	64	22	7	0%	0.9	25.7%	8.8%	16.9%	3.0%	2.40	3.72	+0.6
2024	33	MLB MLE	San Francisco Giants	64	0	60	249	64	22	7	0%	0.9	25.7%	8.8%	16.9%	3.0%	2.40	3.72	+0.6
2024	33	MLB RAW	San Francisco Giants	64	0	60	249	64	22	7	0%	0.9	25.7%	8.8%	16.9%	2.8%	2.40	3.58	+0.7
2025	34	MLB MLE	Chicago Cubs	57	0	51	221	53	21	7	0%	0.9	24.0%	9.5%	14.5%	3.3%	3.38	4.08	+0.3
2025	34	MLB MLE	Chicago Cubs	57	0	51	221	53	21	7	0%	0.9	24.0%	9.5%	14.5%	3.3%	3.38	4.08	+0.3
2025	34	MLB RAW	Chicago Cubs	57	0	51	221	53	21	7	0%	0.9	24.0%	9.5%	14.5%	3.2%	3.38	4.05	+0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			625	0	594	2497	672	166	61	0%	1.0	26.9%	6.6%	20.3%	2.4%	3.45	3.01	+10.9
▸ 2026 season
YTD	35	MLB MLE	Minnesota Twins	59	0	53	241	46	23	4	0%	0.9	19.1%	9.5%	9.5%	1.7%	4.61	3.60	+0.6
YTD	35	MLB MLE	Minnesota Twins	59	0	53	241	46	23	4	0%	0.9	19.1%	9.5%	9.5%	1.7%	4.61	3.60	+0.6
▸ 2026 season — so far · projected rest · full
2026	35	MLB RAW	MIN	59	0	53	241	46	23	4	0%	0.9	19.1%	9.5%	9.5%	1.7%	4.61	3.61	+0.6
SO FAR	35	MLB RAW	MIN	59	0	53	241	46	23	4	0%	0.9	19.1%	9.5%	9.5%	1.7%	4.61	3.61	+0.6
ROS	35	MLB MLE	MIN	4	0	5	20	4	2	1	0%	1.2	21.6%	9.4%	12.2%	3.0%	3.79	4.10	+0.0
ROS	35	MLB CTX	MIN	5	0	5	21	5	2	1	0%	1.0	21.6%	9.4%	12.2%	3.0%	3.79	4.10	+0.0
2026 TOT	35	MLB MLE	MIN	—	—	57	261	50	25	5	—	—	19.3%	9.5%	9.7%	1.8%	4.55	3.64	+0.6
FULL	35	MLB A+C	MIN	—	—	57	242	50	25	5	—	—	20.8%	10.3%	10.5%	1.9%	4.55	3.69	+0.6
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	36	MLB MLE	MIN	44	0	46	193	41	19	6	0%	1.0	21.0%	10.0%	11.0%	3.0%	4.36	4.64	-0.0
2028	37	MLB MLE	MIN	38	0	40	169	34	18	6	0%	1.1	19.9%	10.6%	9.3%	3.4%	4.77	5.04	-0.2
2027	36	MLB CTX	MIN	44	0	46	194	41	19	6	0%	1.0	21.0%	10.0%	11.0%	3.0%	4.36	4.64	-0.0
2028	37	MLB CTX	MIN	38	0	40	169	34	18	6	0%	1.1	19.9%	10.6%	9.3%	3.4%	4.77	5.04	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		711	0	684	2879	750	205	73	0%	1.0	26.1%	7.1%	18.9%	2.5%	3.59	3.20	+11.0
/ 200 IP	—	RAW		208	0	200	841	219	60	21	0%	1.0	26.1%	7.1%	18.9%	2.5%	3.59	3.20	+3.2
Career	—	MLE		660	29	786	3314	796	216	73	4%	1.2	24.0%	6.5%	17.5%	2.2%	3.60	3.11	+10.6
/ 200 IP	—	MLE		168	7	200	843	203	55	19	4%	1.2	24.0%	6.5%	17.5%	2.2%	3.60	3.11	+3.1

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 Rogers (OGILVIE)	—	—	4.32	24.4%	9.3%	3.1%	—	4.83	20.5%	10.2%	86	+0.51	—	—	—
Wilfredo Ledezma L 2016 · 3.28 FIP	35	SU	3.28	20.7%	8.2%	1.6%	.255	3.35	26.7%	18.4%	22	+0.07	2.58	109	75
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	73
Fernando Abad L 2021 · 4.24 FIP	35	SU	4.24	17.6%	6.4%	3.3%	.343	4.24	18.2%	12.6%	81	+0.00	2.37	306	73
Jerry Blevins L 2019 · 4.09 FIP	35	SU	4.09	26.2%	9.9%	3.5%	.235	—	—	—	—	—	2.71	166	73
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	72
Manny Parra L 2018 · 3.33 FIP	35	SU	3.33	18.4%	10.3%	0.9%	.351	2.43	17.3%	11.0%	27	-0.90	2.43	114	71
Craig Breslow L 2016 · 4.26 FIP	35	SU	4.26	17.0%	9.2%	2.6%	.418	4.54	15.7%	5.5%	55	+0.28	4.22	159	69
Oliver Pérez L 2017 · 3.22 FIP	35	SU	3.22	27.3%	7.0%	2.8%	.311	2.23	28.0%	23.3%	105	-0.99	1.58	219	68
Dan Runzler L 2019 · 4.84 FIP	34	SU	4.84	16.0%	13.0%	2.6%	.284	—	—	—	—	—	3.78	127	68
Adam Loewen L 2017 · 4.22 FIP	33	SU	4.22	23.4%	17.4%	1.6%	.293	—	—	—	—	—	2.96	176	67
Brandon Mann L 2018 · 3.59 FIP	34	SU	3.59	17.8%	11.4%	1.0%	.232	—	—	—	—	—	3.59	190	67
Francisco Liriano L 2019 · 4.34 FIP	35	SU	4.34	20.9%	11.3%	2.9%	.265	—	—	—	—	—	3.14	650	65
Cesár Ramos L 2017 · 4.23 FIP	33	SW	4.23	16.7%	8.3%	2.7%	.295	—	—	—	—	—	2.80	225	64
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	59
David Price L 2021 · 3.82 FIP	35	SW	3.82	17.8%	7.4%	2.4%	.301	3.65	22.2%	18.0%	40	-0.17	2.65	922	58
Dana Eveland L 2017 · 4.67 FIP	33	SW	4.67	14.7%	4.7%	4.0%	.324	—	—	—	—	—	2.42	129	57
Sam Freeman L 2022 · 4.01 FIP	35	SU	4.01	18.5%	13.1%	1.5%	.212	—	—	—	—	—	3.03	299	55
Tony Watson L 2020 · 4.32 FIP	35	SU	4.32	20.5%	4.1%	4.4%	.192	3.46	19.6%	12.0%	57	-0.86	2.21	405	53
Wade Davis R 2021 · 5.18 FIP	35	SU	5.18	20.0%	10.0%	4.5%	.288	—	—	—	—	—	2.00	320	41
Jim Johnson R 2018 · 4.48 FIP	35	SU	4.48	16.8%	7.8%	3.3%	.285	—	—	—	—	—	2.56	251	41

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	46	21.9%	9.9%	1.23	4.35
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84