Ross Stripling

P Oakland Athletics

Age 37 RHP 6'1" / 215 lbs MLB peak 0.8 · 2027

Overview

MLBSP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	32	MIX2 levels	33	25	139	2.91	3.01	20.6%	3.6%	4.1	K 20.7% · BB 3.7% · FIP 3.05
2023	33	MIX4 levels	26	15	100	5.31	4.47	20.2%	4.0%	1.1	K 18.4% · BB 4.2% · FIP 5.20
2024	34	MIX3 levels	25	17	94	6.03	3.82	12.1%	5.2%	1.8	K 12.9% · BB 5.2% · FIP 3.79
2025	35	No MLB games played
2026	36	No MLB games played
2027PROJ	37	MLBOAK	12	12	72	4.54	4.43	19.2%	7.9%	0.8
2028PROJ	38	MLBOAK	8	8	50	4.68	4.81	18.0%	8.6%	0.3
2029PROJ	39	MLBOAK	6	6	35	5.02	5.25	16.9%	9.3%	0.0

Last 3 seasons WAR 7.0 · Next 3 projected WAR 1.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

xwOBA vs27

FB Velo11

K%10

CompsLogan Duran (age 37) · Jonathan Castellanos (age 37) · Kenshin Kawakami (age 35)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120111vR 103

ERA4.54

FIP4.43

K%19.2%

BB%7.9%

K-BB%11.3%

Proj IP72

Value2027 · WAR

Runs saved vs league avg · 72 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1191.7

Whiff%

p1016.9%

p1012.9%

xwOBA vs

p270.339

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 the standard WAR scale.

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 + 2027 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	+2.5
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	+2.6
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	+3.3
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	+3.1
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	-0.2
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	-0.3
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	+0.4
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	+0.4
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	+4.0
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	+4.1
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	+0.2
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	+1.1
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	+1.8
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	+1.8
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	+1.8
▸ 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	+15.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	OAK	12	12	72	304	58	24	9	100%	6.0	19.2%	7.9%	11.3%	2.9%	4.54	4.43	+0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	OAK	8	8	50	210	38	18	7	100%	6.2	18.0%	8.6%	9.4%	3.3%	4.73	4.86	+0.3
2029	39	MLB MLE	OAK	6	6	35	149	25	14	6	100%	5.9	16.9%	9.3%	7.6%	3.8%	5.07	5.30	+0.0
2028	38	MLB CTX	OAK	8	8	50	211	38	18	7	100%	6.2	18.0%	8.6%	9.4%	3.2%	4.68	4.81	+0.3
2029	39	MLB CTX	OAK	6	6	35	148	25	14	5	100%	5.8	16.9%	9.3%	7.6%	3.7%	5.02	5.25	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		262	143	931	3904	804	218	136	55%	3.6	20.6%	5.6%	15.0%	3.5%	4.23	3.98	+15.7
/ 200 IP	—	RAW		56	31	200	838	173	47	29	55%	3.6	20.6%	5.6%	15.0%	3.5%	4.23	3.98	+3.4
Career	—	MLE		280	157	967	4046	828	217	140	56%	3.5	20.5%	5.4%	15.1%	3.5%	4.11	3.95	+15.3
/ 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	+3.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2024 AAALas Vegas Aviators · 8 IPFIP 3.22 → 3.21 (−0.00)K% 2.8% → 2.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	2.78%	—	×0.860	2.39%
BB% (unintentional) /BF	2.78%	—	×0.900	2.50%
HR / BF /BF	0.00%	÷1.001	×1.100	0.00%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.22 → 3.21, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ROKACL Giants Orange · 6 IPFIP 1.69 → 2.41 (+0.72)K% 22.2% → 15.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.22%	—	×0.680	15.11%
BB% (unintentional) /BF	3.70%	—	×1.250	4.63%
HR / BF /BF	0.00%	÷1.377	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 175).

Result: FIP 1.69 → 2.41, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2016 AAAOklahoma City Dodgers · 17 IPFIP 2.98 → 3.49 (+0.51)K% 23.9% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.94%	—	×0.880	21.07%
BB% (unintentional) /BF	2.82%	—	×1.050	2.96%
HR / BF /BF	2.82%	÷0.947	×1.100	3.27%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 89).

Result: FIP 2.98 → 3.49, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2015 AATulsa Drillers · 67 IPFIP 3.69 → 4.32 (+0.63)K% 20.1% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.15%	—	×0.810	16.32%
BB% (unintentional) /BF	6.96%	—	×1.100	7.66%
HR / BF /BF	2.56%	÷1.039	×1.200	2.96%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 108).

Result: FIP 3.69 → 4.32, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	—	—	—	2.9%	—	5.04	17.6%	8.7%	85	+0.61	—	—	—
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	58
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	56
Kenshin Kawakami R 2010 · 4.06 FIP	35	SP	4.06	15.1%	5.6%	2.8%	.293	—	—	—	—	—	3.97	244	52
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	46
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	453	45
Masato Yoshii R 2002 · 4.15 FIP	37	SP-	4.15	13.4%	5.4%	2.7%	.295	—	—	—	—	—	4.15	757	45
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	44
Jon Leicester R 2015 · 3.76 FIP	36	SP	3.76	12.3%	5.9%	1.7%	.333	—	—	—	—	—	3.76	113	42
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	41
Yasutomo Kubo R 2019 · 3.98 FIP	38	SP	3.98	20.4%	4.7%	3.6%	.327	—	—	—	—	—	3.98	152	37
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	3.93	194	37
Matt Bush R 2023 · 3.79 FIP	37	SU	3.79	26.2%	8.7%	3.3%	.225	—	—	—	—	—	2.87	249	36
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	36
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	35
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	35
Ivan Maldonado R 2016 · 5.41 FIP	36	SP	5.41	6.4%	9.7%	3.0%	.325	—	—	—	—	—	4.60	172	34
Scott Atchison R 2013 · 3.80 FIP	37	SU	3.80	14.4%	6.2%	2.1%	.273	3.60	16.7%	12.9%	92	-0.20	2.52	340	34
Pete Walker R 2006 · 4.45 FIP	37	SU	4.45	19.6%	8.0%	3.6%	.337	—	—	—	—	—	4.45	327	34
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	33
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	33

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	5.0	84	20.5%	6.0%	1.34	4.25
Doug Bird ('73-'83, 10 WAR*)	6.1	110	20.3%*	5.8%*	1.41*	4.43*
Yusmeiro Petit ('21)	4.5	70	20.7%	5.5%	1.36	3.93
Craig Lefferts ('83-'94, 10 WAR*)	5.7	95	19.5%*	6.7%*	1.40*	3.93*
Scott Bankhead ('86-'95, 10 WAR*)	4.5	100	21.2%*	7.3%*	1.36*	4.16*
Carlos Villanueva ('16)	5.0	91	20.4%	7.6%	1.25	4.31
Tommy Hunter ('23)	4.6	71	16.7%	5.4%	1.27	4.07