Chris Stratton — OGILVIE

Chris Stratton P Los Angeles Dodgers

Age 35 RHP 6'2" / 205 lbs MLB

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 123115vR 106

ERA4.61

FIP4.71

K%19.3%

BB%10.1%

K-BB%9.2%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†4545

Statcast Percentiles

FB Velo

p1091.2

Whiff%

p6327.3%

p4321.2%

xwOBA vs

p220.345

SI (3%)

CU (21%)

CH-1.0 (18%)

SL-1.9 (18%)

FB-4.9 (43%)

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	MIX MLE	2 levels	26	26	148	627	111	61	9	100%	5.7	15.1%	10.4%	4.8%	1.7%	3.95	4.09	—
2015	24	MIX RAW	2 levels	26	26	148	627	111	61	9	100%	5.7	17.7%	9.7%	8.0%	1.4%	3.95	3.63	—
2016	25	MIX MLE	2 levels	28	20	136	569	109	43	7	71%	4.8	17.2%	7.6%	9.6%	1.2%	3.85	3.24	+2.8
2016	25	MIX RAW	2 levels	28	20	136	569	109	43	7	71%	4.8	19.2%	7.6%	11.6%	1.2%	3.85	3.11	+3.0
2017	26	MIX MLE	2 levels	28	25	138	608	122	50	15	89%	4.9	18.7%	8.4%	10.3%	2.9%	4.50	4.19	+1.2
2017	26	MIX RAW	2 levels	28	25	138	608	122	50	15	89%	4.9	20.1%	8.2%	11.8%	2.5%	4.50	3.83	+1.8
2018	27	MIX MLE	2 levels	32	30	169	728	136	61	22	94%	5.3	18.3%	8.4%	9.9%	3.3%	4.79	4.42	+0.9
2018	27	MIX RAW	2 levels	32	30	169	728	136	61	22	94%	5.3	18.7%	8.4%	10.3%	3.0%	4.79	4.27	+1.3
2019	28	MIX MLE	2 levels	37	5	80	364	73	33	14	14%	2.2	20.1%	9.3%	10.8%	4.1%	5.51	4.83	-0.3
2019	28	MIX RAW	2 levels	37	5	80	364	73	33	14	14%	2.2	20.1%	9.1%	11.0%	3.8%	5.51	4.79	-0.2
2020	29	MLB MLE	Pittsburgh Pirates	27	0	30	131	39	13	3	0%	1.1	29.8%	9.9%	19.8%	2.5%	3.90	3.20	+0.5
2020	29	MLB RAW	Pittsburgh Pirates	27	0	30	131	39	13	3	0%	1.1	29.8%	9.9%	19.8%	2.3%	3.90	3.10	+0.5
2021	30	MLB MLE	Pittsburgh Pirates	68	0	79	337	86	31	9	0%	1.2	25.5%	9.2%	16.3%	2.9%	3.63	3.69	+0.8
2021	30	MLB RAW	Pittsburgh Pirates	68	0	79	337	86	31	9	0%	1.2	25.5%	9.2%	16.3%	2.7%	3.63	3.58	+0.9
2022	31	MLB MLE	St. Louis Cardinals	60	1	63	279	60	23	4	2%	1.1	21.5%	8.2%	13.3%	1.5%	4.26	3.17	+1.0
2022	31	MLB RAW	St. Louis Cardinals	60	1	63	279	60	23	4	2%	1.1	21.5%	8.2%	13.3%	1.4%	4.26	3.12	+1.1
2023	32	MLB MLE	Texas Rangers	64	0	83	338	81	25	8	0%	1.3	24.0%	7.4%	16.6%	2.2%	3.92	3.22	+1.3
2023	32	MLB MLE	Texas Rangers	64	0	83	338	81	25	8	0%	1.3	24.0%	7.4%	16.6%	2.2%	3.92	3.22	+1.3
2023	32	MLB RAW	Texas Rangers	64	0	83	338	81	25	8	0%	1.3	24.0%	7.4%	16.6%	2.4%	3.92	3.31	+1.2
2024	33	MLB MLE	Kansas City Royals	57	0	58	257	44	32	5	0%	1.0	17.1%	12.5%	4.7%	2.1%	5.55	4.39	+0.1
2024	33	MLB MLE	Kansas City Royals	57	0	58	257	44	32	5	0%	1.0	17.1%	12.5%	4.7%	2.1%	5.55	4.39	+0.1
2024	33	MLB RAW	Kansas City Royals	57	0	58	257	44	32	5	0%	1.0	17.1%	12.5%	4.7%	1.9%	5.55	4.35	+0.1
2025	34	MLB MLE	Los Angeles Dodgers	15	0	21	104	22	10	4	0%	1.4	21.2%	9.6%	11.5%	3.7%	7.71	4.56	-0.0
2025	34	MLB MLE	Los Angeles Dodgers	15	0	21	104	22	10	4	0%	1.4	21.2%	9.6%	11.5%	3.7%	7.71	4.56	-0.0
2025	34	MLB RAW	Los Angeles Dodgers	15	0	21	104	22	10	4	0%	1.4	21.2%	9.6%	11.5%	3.8%	7.71	4.91	-0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			374	42	624	2714	570	252	71	11%	1.7	21.0%	9.3%	11.7%	2.6%	4.64	3.96	+4.3
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	35	MLB	LAD	2	0	2	8	2	1	0	0%	1.0	19.3%	10.1%	9.2%	2.9%	4.61	4.71	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	36	MLB MLE	LAD	24	0	25	106	19	11	3	0%	1.0	18.2%	10.7%	7.5%	3.3%	4.89	5.08	-0.2
2027	36	MLB CTX	LAD	24	0	25	106	19	11	4	0%	1.0	18.2%	10.7%	7.5%	3.4%	4.97	5.16	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		398	42	649	2820	589	263	75	11%	1.6	20.9%	9.3%	11.6%	2.6%	4.65	3.97	+4.5
/ 200 IP	—	RAW		123	13	200	868	181	81	23	11%	1.6	20.9%	9.3%	11.6%	2.6%	4.65	3.97	+1.4
Career	—	MLE		442	107	1005	4342	845	389	108	24%	2.3	19.5%	9.0%	10.5%	2.5%	4.44	3.96	+4.2
/ 200 IP	—	MLE		88	21	200	864	168	77	21	24%	2.3	19.5%	9.0%	10.5%	2.5%	4.44	3.96	+1.3

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
Chris Stratton (OGILVIE)	—	—	4.71	19.3%	10.1%	2.9%	—	5.08	18.2%	7.5%	25	+0.37	—	—	—
Alexi Ogando R 2018 · 4.10 FIP	34	SW	4.10	15.0%	6.4%	2.6%	.312	—	—	—	—	—	3.79	132	72
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	4.12	186	70
Wade Davis R 2021 · 5.18 FIP	35	SU	5.18	20.0%	10.0%	4.5%	.288	—	—	—	—	—	2.00	320	70
Mark Lowe R 2017 · 5.03 FIP	34	SU	5.03	16.4%	10.0%	3.7%	.331	—	—	—	—	—	2.37	153	70
Jared Hughes R 2020 · 4.38 FIP	35	SU	4.38	19.3%	11.0%	2.8%	.274	—	—	—	—	—	3.00	358	68
Jim Johnson R 2018 · 4.48 FIP	35	SU	4.48	16.8%	7.8%	3.3%	.285	—	—	—	—	—	2.56	251	68
Brian Schlitter R 2021 · 4.70 FIP	35	SU	4.70	14.9%	9.1%	3.1%	.318	—	—	—	—	—	3.28	244	68
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	4.15	145	67
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	67
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	66
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	66
Rafael Dolis R 2022 · 3.61 FIP	34	SU	3.61	19.9%	11.9%	1.2%	.275	—	—	—	—	—	2.80	162	64
Greg Holland R 2021 · 4.71 FIP	35	SU	4.71	21.8%	9.9%	4.0%	.255	—	—	—	—	—	1.97	268	63
Tom Wilhelmsen R 2017 · 5.42 FIP	33	SU	5.42	14.3%	10.4%	4.0%	.341	—	—	—	—	—	3.07	148	63
Angel Sánchez R 2023 · 4.95 FIP	33	SW	4.95	18.3%	10.5%	3.8%	.333	3.81	11.4%	6.4%	27	-1.14	3.80	284	63
Fernando Rodriguez Jr. R 2019 · 5.11 FIP	35	SW	5.11	25.0%	11.2%	4.9%	.312	—	—	—	—	—	3.34	212	62
Carlos Fisher R 2017 · 3.91 FIP	34	SU	3.91	18.1%	12.9%	1.3%	.333	—	—	—	—	—	2.48	147	62
Fernando Rodney R 2015 · 4.37 FIP	38	SU	4.37	20.9%	9.4%	3.4%	.272	3.37	26.2%	15.2%	185	-1.00	2.69	295	62
Brandon Kintzler R 2020 · 4.65 FIP	35	SU	4.65	13.9%	7.9%	3.1%	.237	4.86	15.6%	11.3%	30	+0.21	2.47	332	62
Ryan Madson R 2016 · 3.93 FIP	35	SU	3.93	18.1%	6.3%	2.9%	.284	2.40	27.2%	22.6%	112	-1.53	1.42	240	62

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	0.3	27	18.8%	10.4%	1.18	4.74
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86