Ross Stripling — OGILVIE

Ross Stripling P Oakland Athletics

Age 36 RHP 6'1" / 215 lbs MLB peak 0.6 · 2026

2026 ROS PROJECTION0 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 124115vR 107

ERA4.78

FIP4.75

K%13.9%

BB%6.3%

K-BB%7.6%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 6 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†3030

Statcast Percentiles

FB Velo

p1191.7

Whiff%

p1016.9%

p1012.9%

xwOBA vs

p270.339

CT+1.2 (15%)

SI (14%)

CU (9%)

FB-1.6 (44%)

SL-3.4 (14%)

CH-5.6 (18%)

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	25	MIX MLE	2 levels	14	14	71	288	59	21	7	100%	5.1	16.3%	7.7%	8.7%	3.0%	3.66	4.32	—
2015	25	MIX RAW	2 levels	14	14	71	288	59	21	7	100%	5.1	20.5%	7.3%	13.2%	2.4%	3.66	3.60	—
2016	26	MIX MLE	3 levels	28	19	120	503	94	31	12	68%	4.3	18.2%	5.9%	12.2%	2.4%	3.91	3.65	+1.8
2016	26	MIX RAW	3 levels	28	19	120	503	94	31	12	68%	4.3	18.7%	6.2%	12.5%	2.4%	3.91	3.61	+1.9
2017	27	MIX MLE	2 levels	52	2	78	319	78	16	10	4%	1.5	24.3%	4.9%	19.4%	3.2%	3.59	3.40	+1.1
2017	27	MIX RAW	2 levels	52	2	78	319	78	16	10	4%	1.5	24.5%	5.0%	19.4%	3.1%	3.59	3.38	+1.1
2018	28	MLB MLE	Los Angeles Dodgers	33	21	122	503	136	20	18	64%	3.7	27.0%	4.0%	23.1%	3.4%	3.02	3.20	+2.5
2018	28	MLB RAW	Los Angeles Dodgers	33	21	122	503	136	20	18	64%	3.7	27.0%	4.0%	23.1%	3.6%	3.02	3.28	+2.4
2019	29	MLB MLE	Los Angeles Dodgers	32	15	91	370	93	20	11	47%	2.8	25.1%	5.4%	19.7%	2.9%	3.47	3.23	+1.5
2019	29	MLB RAW	Los Angeles Dodgers	32	15	91	370	93	20	11	47%	2.8	25.1%	5.4%	19.7%	3.0%	3.47	3.29	+1.4
2020	30	MLB MLE	Toronto Blue Jays	12	9	49	220	40	18	13	75%	4.1	18.2%	8.2%	10.0%	5.9%	5.84	5.84	-0.5
2020	30	MLB RAW	Toronto Blue Jays	12	9	49	220	40	18	13	75%	4.1	18.2%	8.2%	10.0%	5.9%	5.84	6.00	-0.6
2021	31	MIX MLE	2 levels	25	20	103	437	95	31	23	80%	4.1	21.8%	7.0%	14.8%	5.3%	4.73	5.07	-0.2
2021	31	MIX RAW	2 levels	25	20	103	437	95	31	23	80%	4.1	21.7%	7.1%	14.6%	5.3%	4.73	5.07	-0.2
2022	32	MIX MLE	2 levels	33	25	139	553	114	20	12	76%	4.2	20.7%	3.7%	17.0%	2.2%	2.91	3.05	+3.2
2022	32	MIX RAW	2 levels	33	25	139	553	114	20	12	76%	4.2	20.6%	3.6%	17.0%	2.2%	2.91	3.01	+3.2
2023	33	MIX MLE	4 levels	26	15	100	430	87	17	20	58%	3.8	18.4%	4.2%	14.2%	5.7%	5.31	5.20	-0.3
2023	33	MIX MLE	4 levels	26	15	100	430	87	17	20	58%	3.8	18.4%	4.2%	14.2%	5.7%	5.31	5.20	-0.3
2023	33	MIX RAW	4 levels	26	15	100	430	87	17	20	58%	3.8	20.2%	4.0%	16.3%	4.7%	5.31	4.47	+0.5
2024	34	MIX MLE	3 levels	25	17	94	423	51	22	8	68%	3.8	12.9%	5.2%	7.6%	2.0%	6.03	3.79	+1.3
2024	34	MIX MLE	3 levels	25	17	94	423	51	22	8	68%	3.8	12.9%	5.2%	7.6%	2.0%	6.03	3.79	+1.3
2024	34	MIX RAW	3 levels	25	17	94	423	51	22	8	68%	3.8	12.1%	5.2%	6.9%	1.9%	6.03	3.82	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			248	129	846	3545	741	186	124	52%	3.4	20.9%	5.2%	15.7%	3.5%	4.17	3.91	+9.9
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	36	MLB	OAK	1	1	6	25	4	2	1	100%	6.0	13.9%	6.3%	7.6%	3.0%	4.78	4.75	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	37	MLB MLE	OAK	10	10	64	271	35	19	9	100%	6.4	12.8%	7.0%	5.8%	3.4%	5.00	5.15	-0.2
2028	38	MLB MLE	OAK	9	9	55	233	27	18	9	100%	6.1	11.7%	7.7%	4.0%	3.9%	5.35	5.58	-0.4
2027	37	MLB CTX	OAK	10	10	64	270	35	19	9	100%	6.4	12.8%	7.0%	5.8%	3.3%	4.95	5.10	-0.2
2028	38	MLB CTX	OAK	9	9	55	232	27	18	9	100%	6.1	11.7%	7.7%	4.0%	3.8%	5.30	5.53	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		267	148	966	4050	803	223	142	55%	3.6	19.8%	5.5%	14.3%	3.5%	4.29	4.04	+9.8
/ 200 IP	—	RAW		55	31	200	839	166	46	29	56%	3.6	19.8%	5.5%	14.3%	3.5%	4.29	4.04	+2.0
Career	—	MLE		280	157	967	4046	828	217	140	56%	3.5	20.5%	5.4%	15.1%	3.5%	4.11	3.95	+9.3
/ 200 IP	—	MLE		58	32	200	837	171	45	29	56%	3.5	20.5%	5.4%	15.1%	3.5%	4.11	3.95	+1.9

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
Ross Stripling (OGILVIE)	—	—	4.75	13.9%	6.3%	3.0%	—	5.35	12.3%	5.0%	120	+0.60	—	—	—
Jesse Estrada R 2019 · 4.34 FIP	35	SP-	4.34	14.4%	6.6%	2.9%	.312	—	—	—	—	—	3.80	257	68
Alexi Ogando R 2018 · 4.10 FIP	34	SW	4.10	15.0%	6.4%	2.6%	.312	—	—	—	—	—	3.79	132	67
Jake Peavy R 2016 · 4.35 FIP	35	SP-	4.35	19.6%	6.7%	3.7%	.318	—	—	—	—	—	4.07	262	62
Jerome Williams R 2016 · 5.81 FIP	34	SW	5.81	11.7%	6.1%	5.3%	.286	—	—	—	—	—	4.72	195	62
Austin Bibens-Dirkx R 2021 · 4.20 FIP	36	SP-	4.20	15.8%	5.6%	3.1%	.333	—	—	—	—	—	3.97	567	60
Ryan Vogelsong R 2015 · 4.45 FIP	38	SP-	4.45	18.1%	9.4%	3.1%	.295	4.79	16.7%	6.3%	82	+0.34	4.45	217	60
Chris Young R 2015 · 4.69 FIP	36	SP-	4.69	16.6%	8.6%	3.5%	.209	6.33	21.1%	11.4%	119	+1.64	4.69	242	59
Kyle Lohse R 2015 · 4.77 FIP	36	SP-	4.77	16.2%	6.0%	4.2%	.309	4.97	14.8%	8.8%	59	+0.20	4.77	211	58
Alfredo Simon R 2016 · 5.55 FIP	35	SP-	5.55	12.3%	9.6%	4.1%	.335	—	—	—	—	—	4.61	261	58
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	54
Frankie De La Cruz R 2019 · 4.38 FIP	35	SP-	4.38	16.2%	8.0%	3.0%	.322	—	—	—	—	—	3.77	240	52
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	52
Tim Dillard R 2019 · 4.10 FIP	36	SP-	4.10	13.6%	5.5%	2.6%	.298	—	—	—	—	—	3.13	352	51
Chris Smith R 2017 · 5.08 FIP	36	SP-	5.08	15.6%	7.5%	4.3%	.286	—	—	—	—	—	3.79	413	51
Carlos Torres R 2019 · 4.28 FIP	36	SU	4.28	17.8%	9.0%	2.8%	.311	—	—	—	—	—	2.89	326	50
Edgar Gonzalez R 2019 · 4.58 FIP	36	SP	4.58	12.3%	5.8%	3.2%	.331	—	—	—	—	—	3.19	450	50
Jeremy Guthrie R 2015 · 5.44 FIP	36	SP-	5.44	12.7%	6.5%	4.7%	.309	4.85	11.6%	3.0%	87	-0.59	4.85	235	50
Alfredo Aceves R 2017 · 5.10 FIP	34	SP	5.10	8.9%	8.9%	3.0%	.323	—	—	—	—	—	4.78	160	50
Guillermo Moscoso R 2019 · 4.35 FIP	35	SP	4.35	12.6%	6.7%	2.7%	.321	—	—	—	—	—	3.77	264	49
Jason Hammel R 2018 · 4.36 FIP	35	SW	4.36	15.8%	6.0%	3.3%	.342	—	—	—	—	—	3.54	645	49

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	1.0	64	12.9%	6.9%	1.31	5.02
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Josh Fleming ('24)	1.3	51	14.6%	7.5%	1.17	4.77
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43