Jeurys Familia projections, WAR, contract

Jeurys Familia P Oakland Athletics

Age 36 RHP 6'3" / 240 lbs MLB peak 0.1 · 2026

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 49 proj IP

wRC+ AGAINSTvL 117109vR 101

ERA4.45

FIP4.42

K%23.6%

BB%10.0%

K-BB%13.6%

ROS IP49

Value2026 · WAR

Runs saved vs league avg · 49 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL3535

CMD4545

K†5555

Statcast Percentiles

FB Velo

p5094.5

Whiff%

p7429.1%

p1014.1%

xwOBA vs

p100.367

SL+0.9

FB-4.3

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)
2012	22	MLB MLE	New York Mets	8	1	12	52	10	9	0	12%	1.5	19.2%	17.3%	1.9%	0.0%	5.84	3.67	+0.1
2012	22	MLB RAW	New York Mets	8	1	12	52	10	9	0	12%	1.5	19.2%	17.3%	1.9%	0.0%	5.84	3.67	+0.1
2013	23	MLB MLE	New York Mets	9	0	11	52	8	8	2	0%	1.2	15.4%	15.4%	0.0%	3.9%	4.22	5.87	-0.2
2013	23	MLB RAW	New York Mets	9	0	11	52	8	8	2	0%	1.2	15.4%	15.4%	0.0%	3.8%	4.22	6.29	-0.2
2014	24	MLB MLE	New York Mets	76	0	77	322	73	27	3	0%	1.0	22.7%	8.4%	14.3%	0.9%	2.21	2.76	+1.7
2014	24	MLB RAW	New York Mets	76	0	77	322	73	27	3	0%	1.0	22.7%	8.4%	14.3%	0.9%	2.21	2.76	+1.7
2015	25	MLB MLE	New York Mets	76	0	78	308	86	18	6	0%	1.0	27.9%	5.8%	22.1%	2.0%	1.85	2.55	+1.9
2015	25	MLB RAW	New York Mets	76	0	78	308	86	18	6	0%	1.0	27.9%	5.8%	22.1%	1.9%	1.85	2.59	+1.8
2016	26	MLB MLE	New York Mets	78	0	78	321	84	25	1	0%	1.0	26.2%	7.8%	18.4%	0.3%	2.55	2.05	+2.3
2016	26	MLB RAW	New York Mets	78	0	78	321	84	25	1	0%	1.0	26.2%	7.8%	18.4%	0.3%	2.55	2.07	+2.3
2017	27	MIX MLE	3 levels	30	0	29	125	31	14	1	0%	1.0	22.5%	10.8%	11.7%	0.9%	3.77	3.06	+0.5
2017	27	MIX RAW	3 levels	30	0	29	125	31	14	1	0%	1.0	24.8%	11.2%	13.6%	0.8%	3.77	2.86	+0.6
2018	28	MLB MLE	Oakland Athletics	70	0	72	302	83	27	3	0%	1.0	27.5%	8.9%	18.5%	1.1%	3.12	2.51	+1.8
2018	28	MLB RAW	Oakland Athletics	70	0	72	302	83	27	3	0%	1.0	27.5%	8.9%	18.5%	1.0%	3.12	2.46	+1.8
2019	29	MIX MLE	2 levels	67	0	61	278	65	38	7	0%	0.9	23.0%	13.9%	9.1%	2.6%	5.61	4.32	+0.2
2019	29	MIX RAW	2 levels	67	0	61	278	65	38	7	0%	0.9	23.4%	13.7%	9.7%	2.5%	5.61	4.33	+0.2
2020	30	MLB MLE	New York Mets	25	0	27	120	23	17	2	0%	1.1	19.2%	14.2%	5.0%	1.7%	3.71	4.19	+0.1
2020	30	MLB RAW	New York Mets	25	0	27	120	23	17	2	0%	1.1	19.2%	14.2%	5.0%	1.7%	3.71	4.26	+0.1
2021	31	MIX MLE	2 levels	66	1	60	265	72	25	10	2%	0.9	27.5%	9.5%	17.9%	3.8%	3.88	4.09	+0.3
2021	31	MIX RAW	2 levels	66	1	60	265	72	25	10	2%	0.9	27.2%	9.4%	17.7%	3.8%	3.88	4.11	+0.3
2022	32	MIX MLE	2 levels	49	0	45	207	44	20	7	0%	0.9	20.1%	9.8%	10.3%	3.5%	5.96	4.58	-0.0
2022	32	MIX RAW	2 levels	49	0	45	207	44	20	7	0%	0.9	21.3%	9.7%	11.6%	3.4%	5.96	4.49	+0.0
2023	33	MLB MLE	Oakland Athletics	14	0	13	64	9	13	2	0%	0.9	14.1%	20.3%	-6.2%	3.4%	6.39	6.37	-0.3
2023	33	MLB MLE	Oakland Athletics	14	0	13	64	9	13	2	0%	0.9	14.1%	20.3%	-6.2%	3.4%	6.39	6.37	-0.3
2023	33	MLB RAW	Oakland Athletics	14	0	13	64	9	13	2	0%	0.9	14.1%	20.3%	-6.2%	3.1%	6.39	6.81	-0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			561	1	556	2392	577	239	44	0%	1.0	24.1%	10.0%	14.1%	1.8%	3.58	3.34	+8.0
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	36	MLB	OAK	—	—	0	—	—	—	—	—	—	23.6%	10.0%	13.6%	3.0%	4.45	4.42	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	37	MLB MLE	OAK	41	0	43	182	41	19	6	0%	1.0	22.5%	10.6%	11.9%	3.4%	4.67	4.82	-0.1
2027	37	MLB CTX	OAK	41	0	43	182	41	19	6	0%	1.0	22.5%	10.6%	11.9%	3.4%	4.67	4.82	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		602	1	599	2574	618	258	50	0%	1.0	24.0%	10.0%	14.0%	2.0%	3.66	3.42	+8.1
/ 200 IP	—	RAW		201	0	200	860	206	86	17	0%	1.0	24.0%	10.0%	14.0%	2.0%	3.66	3.42	+2.7
Career	—	MLE		568	2	563	2416	583	242	45	0%	1.0	24.1%	10.0%	14.1%	1.9%	3.53	3.36	+7.8
/ 200 IP	—	MLE		202	1	200	859	207	86	16	0%	1.0	24.1%	10.0%	14.1%	1.9%	3.53	3.36	+2.6

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
Jeurys Familia (OGILVIE)	—	—	4.42	23.6%	10.0%	3.0%	—	4.82	22.5%	11.9%	43	+0.40	—	—	—
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	78
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	70
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	68
Joe Nelson R 2009 · 5.35 FIP	34	SU	5.35	19.8%	14.3%	3.9%	.221	—	—	—	—	—	3.08	139	64
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	63
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	63
Matt Miller R 2006 · 4.98 FIP	34	SU	4.98	18.5%	13.8%	3.1%	.214	—	—	—	—	—	2.13	101	62
Kazuhiro Sasaki R 2003 · 3.30 FIP	35	SU	3.30	19.3%	8.7%	1.3%	.274	—	—	—	—	—	2.76	223	61
Jim Miller R 2016 · 5.43 FIP	34	SU	5.43	20.4%	14.1%	4.1%	.347	—	—	—	—	—	3.95	140	59
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	58
Rafael Martín R 2019 · 4.71 FIP	35	SU	4.71	22.5%	6.0%	5.0%	.333	—	—	—	—	—	2.94	227	58
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	57
Jesus Adrian Castillo R 2019 · 5.13 FIP	35	SU	5.13	13.1%	7.8%	3.9%	.319	—	—	—	—	—	2.23	173	57
Erubiel Gonzalez R 2015 · 3.43 FIP	36	SU	3.43	12.4%	6.0%	1.1%	.328	3.26	14.8%	10.4%	69	-0.17	2.99	119	56
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	56
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	56
Matt Bush R 2022 · 3.73 FIP	36	SU	3.73	30.3%	6.6%	4.3%	.224	3.79	26.2%	17.5%	36	+0.06	2.87	249	53
Daniel Bard R 2021 · 3.62 FIP	36	SU	3.62	26.3%	11.5%	2.3%	.337	3.64	24.6%	10.3%	110	+0.02	2.56	456	53
Daniel Guerrero R 2019 · 5.59 FIP	34	SW	5.59	14.7%	11.1%	4.2%	.353	—	—	—	—	—	4.61	269	52
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	46

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 714 reliever careers (1990-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.2	59	24.0%	11.0%	0.79	3.72
Grant Balfour ('15)	2.7	54	25.5%	11.2%	0.78	3.49
John Axford ('21)	2.6	58	25.6%	11.3%	0.86	3.90
Jason Frasor ('15)	3.2	54	22.4%	10.3%	0.78	3.49
Brad Brach ('21)	2.8	61	25.1%	11.2%	0.93	3.55
Paul Shuey ('07)	2.6	59	24.1%	12.0%	0.73	3.87
Mark Wohlers ('02)	2.8	55	23.2%	11.3%	0.60	3.97