Jason Foley — OGILVIE

Jason Foley P San Francisco Giants

Age 30 RHP 6'4" / 215 lbs MLB peak 0.3 · 2026

2026 ROS PROJECTION38 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10799vR 90

ERA3.75

FIP3.86

K%18.2%

BB%7.5%

K-BB%10.7%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 44 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL5050

CMD4040

K†4545

Statcast Percentiles

FB Velo

p7896.5

Whiff%

p1016.9%

p1012.9%

xwOBA vs

p710.292

SL+8.0 (31%)

SI (55%)

CH-1.0 (5%)

FB-1.3 (64%)

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)
2016	20	ROK MLE	GCL Tigers West	1	0	1	4	1	0	0	0%	1.0	25.0%	0.0%	25.0%	0.0%	0.00	0.99	—
2016	20	ROK RAW	GCL Tigers West	1	0	1	4	1	0	0	0%	1.0	25.0%	0.0%	25.0%	0.0%	0.00	1.10	—
2017	21	MIX MLE	2 levels	24	0	36	147	41	5	1	0%	1.5	23.2%	4.1%	19.1%	0.0%	2.48	1.66	—
2017	21	MIX RAW	2 levels	24	0	36	147	41	5	1	0%	1.5	27.9%	3.4%	24.5%	0.7%	2.48	1.61	—
2019	23	A+ MLE	Lakeland Flying Tigers	36	0	44	201	43	16	3	0%	1.2	16.5%	9.2%	7.3%	1.9%	3.89	3.93	—
2019	23	A+ RAW	Lakeland Flying Tigers	36	0	44	201	43	16	3	0%	1.2	21.4%	8.0%	13.4%	1.5%	3.89	3.12	—
2021	25	MIX MLE	2 levels	43	0	45	198	42	23	6	0%	1.0	20.7%	12.4%	8.4%	3.4%	4.00	4.79	-0.1
2021	25	MIX RAW	2 levels	43	0	45	198	42	23	6	0%	1.0	21.2%	11.6%	9.6%	3.0%	4.00	4.50	+0.0
2022	26	MIX MLE	2 levels	64	0	65	277	49	12	3	0%	1.0	16.8%	4.3%	12.5%	0.8%	3.86	2.67	+1.5
2022	26	MIX RAW	2 levels	64	0	65	277	49	12	3	0%	1.0	17.7%	4.3%	13.4%	1.1%	3.86	2.75	+1.4
2023	27	MLB MLE	Detroit Tigers	70	0	69	276	55	13	2	0%	1.0	19.9%	4.7%	15.2%	0.8%	2.61	2.43	+1.8
2023	27	MLB MLE	Detroit Tigers	70	0	69	276	55	13	2	0%	1.0	19.9%	4.7%	15.2%	0.8%	2.61	2.43	+1.8
2023	27	MLB RAW	Detroit Tigers	70	0	69	276	55	13	2	0%	1.0	19.9%	4.7%	15.2%	0.7%	2.61	2.45	+1.7
2024	28	MLB MLE	Detroit Tigers	69	0	60	250	46	18	5	0%	0.9	18.4%	7.2%	11.2%	2.1%	3.15	3.60	+0.7
2024	28	MLB MLE	Detroit Tigers	69	0	60	250	46	18	5	0%	0.9	18.4%	7.2%	11.2%	2.1%	3.15	3.60	+0.7
2024	28	MLB RAW	Detroit Tigers	69	0	60	250	46	18	5	0%	0.9	18.4%	7.2%	11.2%	2.0%	3.15	3.55	+0.7
2025	29	AAA MLE	Toledo Mud Hens	5	0	7	22	9	0	0	0%	1.3	40.9%	0.0%	40.9%	0.0%	0.00	-0.35	—
2025	29	AAA MLE	Toledo Mud Hens	5	0	7	22	9	0	0	0%	1.3	40.9%	0.0%	40.9%	0.0%	0.00	-0.35	—
2025	29	AAA RAW	Toledo Mud Hens	5	0	7	22	9	0	0	0%	1.3	40.9%	0.0%	40.9%	0.0%	0.00	0.40	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			229	0	220	920	162	54	11	0%	1.0	17.6%	5.9%	11.7%	1.2%	3.23	3.01	+4.0
▸ 2026 season
YTD	30	MLB MLE	San Francisco Giants	38	1	38	174	27	15	2	3%	1.0	14.1%	7.9%	6.1%	1.3%	5.68	3.63	+0.4
YTD	30	MLB MLE	San Francisco Giants	38	1	38	174	27	15	2	3%	1.0	14.1%	7.9%	6.1%	1.3%	5.68	3.63	+0.4
▸ 2026 season — so far · projected rest · full
2026	30	A RAW	SF	1	0	1	6	1	1	0	0%	0.7	16.7%	16.7%	0.0%	0.0%	13.50	3.80	—
2026	30	AAA RAW	SF	18	1	17	75	14	7	1	6%	0.9	18.7%	9.3%	9.3%	1.3%	7.41	3.44	—
2026	30	MLB RAW	SF	19	0	20	93	12	7	1	0%	1.1	12.9%	7.5%	5.4%	1.1%	3.98	3.55	+0.2
SO FAR	30	MLB RAW	SF	19	0	20	93	12	7	1	0%	1.1	12.9%	7.5%	5.4%	1.1%	3.98	3.55	+0.2
ROS	30	MLB MLE	SF	5	0	6	23	4	2	1	0%	1.1	18.2%	7.5%	10.7%	2.5%	3.75	3.86	+0.0
ROS	30	MLB CTX	SF	6	0	6	25	5	2	1	0%	1.0	18.2%	7.5%	10.7%	2.5%	3.75	3.86	+0.0
2026 TOT	30	MLB MLE	SF	—	—	44	197	31	17	3	—	—	15.8%	8.5%	7.3%	1.3%	5.44	3.66	+0.5
FULL	30	MLB A+C	SF	—	—	26	109	31	17	3	—	—	28.6%	15.3%	13.3%	2.4%	9.15	3.92	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	SF	58	0	61	259	45	20	7	0%	1.1	17.6%	7.8%	9.8%	2.5%	4.22	4.36	+0.1
2028	32	MLB MLE	SF	54	0	57	239	40	20	7	0%	1.1	16.8%	8.2%	8.6%	2.8%	4.46	4.62	-0.0
2027	31	MLB CTX	SF	55	0	58	245	43	19	6	0%	1.1	17.6%	7.8%	9.8%	2.5%	4.22	4.36	+0.1
2028	32	MLB CTX	SF	51	0	54	228	38	19	6	0%	1.1	16.8%	8.2%	8.6%	2.8%	4.46	4.62	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		341	0	338	1417	248	93	24	0%	1.0	17.5%	6.6%	10.9%	1.7%	3.61	3.39	+4.7
/ 200 IP	—	RAW		202	0	200	839	147	55	14	0%	1.0	17.5%	6.6%	10.9%	1.7%	3.61	3.39	+2.8
Career	—	MLE		350	1	365	1549	290	106	22	0%	1.0	18.7%	6.8%	11.9%	1.5%	3.50	3.18	+4.2
/ 200 IP	—	MLE		192	1	200	848	159	58	12	0%	1.0	18.7%	6.8%	11.9%	1.5%	3.50	3.18	+2.4

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
Jason Foley (OGILVIE)	—	—	4.11	20.0%	7.4%	2.5%	—	4.48	17.2%	9.2%	118	+0.37	—	—	—
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	79
Bo Schultz R 2016 · 3.90 FIP	30	SU	3.90	14.4%	5.2%	2.5%	.276	2.73	16.4%	8.4%	27	-1.17	2.73	141	79
Arquimedes Caminero R 2016 · 4.45 FIP	29	SU	4.45	17.9%	11.4%	2.6%	.314	4.62	18.6%	7.5%	38	+0.17	3.54	173	78
Kevin Jepsen R 2015 · 3.47 FIP	31	SU	3.47	20.7%	9.1%	1.8%	.241	5.85	16.9%	7.2%	90	+2.38	3.47	160	77
Tom Wilhelmsen R 2015 · 3.07 FIP	31	SU	3.07	22.5%	9.7%	1.1%	.298	5.78	13.8%	4.1%	86	+2.71	3.07	148	77
Tanner Scheppers R 2017 · 4.86 FIP	30	SU	4.86	15.7%	6.7%	4.1%	.301	—	—	—	—	—	4.37	101	76
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	76
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	76
Bryan Morris R 2017 · 3.60 FIP	30	SU	3.60	16.0%	9.6%	1.1%	.333	—	—	—	—	—	3.48	102	75
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	75
Austin Adams R 2016 · 3.40 FIP	29	SU	3.40	21.1%	6.1%	2.4%	.376	5.80	20.8%	10.2%	60	+2.40	3.40	162	75
Drew Storen R 2017 · 3.83 FIP	29	SU	3.83	19.5%	7.3%	2.6%	.289	4.31	19.4%	8.4%	10	+0.48	2.36	172	75
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	75
Jim Johnson R 2015 · 3.34 FIP	32	SU	3.34	17.2%	6.2%	1.7%	.330	3.63	22.0%	14.1%	185	+0.29	2.56	251	74
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	74
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	74
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	74
Sam Dyson R 2018 · 3.34 FIP	30	SU	3.34	20.5%	7.0%	2.0%	.264	3.21	22.1%	16.9%	62	-0.13	2.66	333	74
Gregory Infante R 2017 · 2.97 FIP	30	SU	2.97	22.8%	8.2%	1.4%	.251	4.07	22.0%	17.4%	50	+1.10	2.97	230	74
Rob Scahill R 2017 · 3.73 FIP	30	SU	3.73	13.4%	5.1%	2.0%	.261	3.06	22.6%	13.1%	61	-0.67	3.06	201	74

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	18.2%	7.7%	1.00	4.22
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Alex Claudio ('21)	1.5	59	16.3%	6.1%	0.76	3.66