Joe Jacques — OGILVIE

Joe Jacques P Syracuse Mets

Age 31 LHP 6'4" / 210 lbs AAA peak 0.2 · 2026

2026 ROS PROJECTION30 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 98106vR 115

ERA4.22

FIP4.28

K%17.6%

BB%8.3%

K-BB%9.2%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 36 IP

Grades · Arsenal · Contract

Scouting Grades

STUF5050

CTRL5050

CMD5050

K†4040

SI (64%)

SL-0.7 (26%)

CT-0.8 (10%)

FB-1.1 (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)
2018	23	ROK MLE	Bristol Pirates	17	0	21	107	19	19	1	0%	1.3	12.1%	22.2%	-10.1%	1.3%	6.33	5.61	—
2018	23	ROK RAW	Bristol Pirates	17	0	21	107	19	19	1	0%	1.3	17.8%	17.8%	0.0%	0.9%	6.33	4.60	—
2019	24	MIX MLE	3 levels	35	2	66	276	59	33	3	6%	1.9	16.5%	13.3%	3.2%	1.4%	2.58	4.15	—
2019	24	MIX RAW	3 levels	35	2	66	276	59	33	3	6%	1.9	21.4%	12.0%	9.4%	1.1%	2.58	3.40	—
2021	26	AAA MLE	Indianapolis Indians	37	0	48	214	53	20	5	0%	1.3	21.8%	9.8%	12.0%	2.3%	4.31	3.79	—
2021	26	AAA RAW	Indianapolis Indians	37	0	48	214	53	20	5	0%	1.3	24.8%	9.3%	15.4%	2.3%	4.31	3.50	—
2022	27	MIX MLE	3 levels	33	1	43	173	35	14	4	3%	1.3	15.5%	8.2%	7.3%	2.8%	3.12	4.39	—
2022	27	MIX RAW	3 levels	33	1	43	173	35	14	4	3%	1.3	20.2%	8.1%	12.1%	2.3%	3.12	3.65	—
2023	28	MIX MLE	2 levels	56	2	66	284	55	20	6	4%	1.2	17.3%	6.6%	10.7%	2.3%	3.56	3.72	+0.6
2023	28	MIX MLE	2 levels	56	2	66	284	55	20	6	4%	1.2	17.3%	6.6%	10.7%	2.3%	3.56	3.72	+0.6
2023	28	MIX RAW	2 levels	56	2	66	284	55	20	6	4%	1.2	19.4%	7.0%	12.3%	2.1%	3.56	3.53	+0.8
2024	29	MIX MLE	3 levels	42	1	46	214	43	22	1	2%	1.1	17.2%	9.8%	7.4%	0.0%	5.72	2.89	+0.9
2024	29	MIX MLE	3 levels	42	1	46	214	43	22	1	2%	1.1	17.2%	9.8%	7.4%	0.0%	5.72	2.89	+0.9
2024	29	MIX RAW	3 levels	42	1	46	214	43	22	1	2%	1.1	20.1%	10.3%	9.8%	0.5%	5.72	2.95	+0.9
2025	30	AAA MLE	Tacoma Rainiers	47	1	52	246	61	22	5	2%	1.1	20.6%	8.0%	12.5%	1.9%	6.02	3.40	—
2025	30	AAA MLE	Tacoma Rainiers	47	1	52	246	61	22	5	2%	1.1	20.6%	8.0%	12.5%	1.9%	6.02	3.40	—
2025	30	AAA RAW	Tacoma Rainiers	47	1	52	246	61	22	5	2%	1.1	24.8%	8.9%	15.9%	2.0%	6.02	3.27	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			25	1	30	138	22	9	3	4%	1.2	15.9%	6.5%	9.4%	2.2%	5.46	3.84	+0.2
▸ 2026 season
YTD	31	AAA MLE	Syracuse Mets	30	0	30	136	29	21	2	0%	1.0	15.7%	13.0%	2.7%	1.0%	5.10	3.96	—
YTD	31	AAA MLE	Syracuse Mets	30	0	30	136	29	21	2	0%	1.0	15.7%	13.0%	2.7%	1.0%	5.10	3.96	—
▸ 2026 season — so far · projected rest · full
2026	31	A+ RAW	NYM	6	0	6	25	8	5	1	0%	1.0	32.0%	20.0%	12.0%	4.0%	1.59	5.13	—
2026	31	AAA RAW	NYM	24	0	24	111	21	16	1	0%	1.0	18.9%	14.4%	4.5%	0.9%	5.92	3.82	—
ROS	31	MLB MLE	NYM	5	0	6	23	4	2	1	0%	1.1	17.6%	8.3%	9.2%	2.2%	4.22	4.28	+0.0
2026 TOT	31	MLB MLE	NYM	—	—	36	159	33	23	3	—	—	20.8%	14.4%	6.4%	1.6%	4.96	4.01	+0.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	NYM	54	0	56	237	41	21	6	0%	1.0	17.4%	8.8%	8.5%	2.6%	4.42	4.54	+0.0
2028	33	MLB MLE	NYM	49	0	52	218	37	20	6	0%	1.1	17.0%	9.3%	7.6%	2.9%	4.65	4.81	-0.2
2027	32	MLB CTX	NYM	20	0	21	89	15	8	2	0%	1.1	17.4%	8.8%	8.5%	2.6%	4.42	4.54	+0.0
2028	33	MLB CTX	NYM	27	0	28	118	20	11	3	0%	1.0	17.0%	9.3%	7.6%	2.9%	4.65	4.81	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		72	1	79	348	58	28	9	1%	1.1	16.7%	8.1%	8.6%	2.5%	4.89	4.10	+0.4
/ 200 IP	—	RAW		182	3	200	877	146	71	23	1%	1.1	16.7%	8.1%	8.6%	2.5%	4.89	4.10	+1.1
Career	—	MLE		297	7	373	1650	290	173	27	2%	1.3	17.6%	10.5%	7.1%	1.7%	4.32	3.86	+0.1
/ 200 IP	—	MLE		159	4	200	886	156	93	15	2%	1.3	17.6%	10.5%	7.1%	1.7%	4.32	3.86	+0.2

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
Joe Jacques (OGILVIE)	—	—	4.28	17.6%	8.3%	2.2%	—	4.67	17.2%	8.1%	108	+0.39	—	—	—
Fernando Abad L 2017 · 3.53 FIP	31	SU	3.53	20.3%	7.1%	2.2%	.281	2.37	23.3%	21.0%	44	-1.16	2.37	306	83
Tommy Layne L 2016 · 3.43 FIP	31	SU	3.43	20.3%	9.6%	1.5%	.266	4.25	19.4%	10.0%	90	+0.82	1.32	182	82
Phil Coke L 2015 · 3.89 FIP	33	SU	3.89	18.8%	9.1%	2.2%	.373	3.04	18.0%	11.3%	70	-0.85	3.04	101	80
Dan Jennings L 2018 · 3.88 FIP	31	SU	3.88	16.6%	8.1%	2.1%	.303	—	—	—	—	—	3.11	244	79
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	78
Jeremy Bleich L 2018 · 3.69 FIP	31	SU	3.69	20.3%	6.6%	2.7%	.296	4.41	20.1%	13.1%	33	+0.72	3.20	241	77
Brian Duensing L 2015 · 4.47 FIP	32	SU	4.47	11.5%	8.1%	2.4%	.252	3.76	20.2%	11.8%	137	-0.71	2.57	198	77
Craig Breslow L 2015 · 4.94 FIP	34	SU	4.94	16.4%	6.4%	4.4%	.279	4.42	16.2%	6.5%	94	-0.52	4.22	159	77
Marc Rzepczynski L 2017 · 3.77 FIP	31	SU	3.77	18.2%	10.9%	1.5%	.284	5.47	15.5%	1.4%	67	+1.70	2.73	181	77
Tony Watson L 2016 · 4.37 FIP	31	SU	4.37	21.3%	7.0%	4.0%	.227	3.43	21.4%	16.9%	187	-0.94	2.21	405	76
Mike Dunn L 2016 · 3.71 FIP	31	SU	3.71	21.6%	6.2%	3.0%	.311	4.63	22.4%	8.9%	85	+0.92	3.71	181	75
Jorge Ibarra L 2017 · 3.09 FIP	29	SU	3.09	19.3%	6.5%	1.4%	.351	—	—	—	—	—	2.55	146	75
Edward Paredes L 2018 · 3.81 FIP	31	SU	3.81	22.7%	11.9%	2.0%	.351	5.10	21.5%	14.2%	18	+1.29	2.36	130	74
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	74
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.80	223	73
Kraig Sitton L 2017 · 3.87 FIP	29	SU	3.87	14.7%	6.1%	2.2%	.312	—	—	—	—	—	2.81	166	73
Nick Ramirez L 2021 · 3.63 FIP	31	SU	3.63	20.2%	8.0%	2.2%	.305	3.19	17.6%	11.7%	169	-0.44	2.93	478	73
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	72
Buddy Baumann L 2018 · 4.87 FIP	30	SU	4.87	20.5%	11.9%	3.6%	.258	—	—	—	—	—	2.92	155	71
Arturo Barradas L 2019 · 3.24 FIP	31	SU	3.24	16.1%	6.6%	1.2%	.407	—	—	—	—	—	3.24	163	70

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	0.8	56	17.3%	8.8%	0.99	4.42
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
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
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
Derek Law ('24)	1.5	60	21.5%	8.9%	0.88	3.47