Jefry Yan — OGILVIE

Jefry Yan P Binghamton Rumble Ponies

Age 29 LHP 6'3" / 185 lbs AA ILReassigned to Minors (RM)

2026 ROS PROJECTION56 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 96104vR 112

ERA4.14

FIP4.14

K%27.4%

BB%13.9%

K-BB%13.5%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 57 IP

Grades · Statcast · Contract

Scouting Grades

K†6060

Statcast Percentiles

FB Velo

p9097.5

Whiff%

p9035.6%

p7827.4%

xwOBA vs

p350.329

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	18	ROK MLE	DSL Angels	24	0	35	142	26	20	1	0%	1.4	12.5%	17.6%	-5.2%	1.0%	1.56	4.82	—
2015	18	ROK RAW	DSL Angels	24	0	35	142	26	20	1	0%	1.4	18.3%	14.1%	4.2%	0.7%	1.56	3.71	—
2021	24	MIX MLE	2 levels	21	0	31	147	51	25	2	0%	1.5	26.6%	19.5%	7.1%	2.0%	2.61	4.41	—
2021	24	MIX RAW	2 levels	21	0	31	147	51	25	2	0%	1.5	34.7%	17.0%	17.7%	1.4%	2.61	3.07	—
2022	25	AA MLE	Pensacola Blue Wahoos	38	4	57	266	88	46	3	11%	1.5	26.8%	19.0%	7.8%	1.3%	4.89	3.96	—
2022	25	AA RAW	Pensacola Blue Wahoos	38	4	57	266	88	46	3	11%	1.5	33.1%	17.3%	15.8%	1.1%	4.89	3.12	—
2023	26	MIX MLE	2 levels	49	0	57	270	102	48	4	0%	1.2	31.6%	18.4%	13.2%	1.4%	4.89	3.54	—
2023	26	MIX MLE	2 levels	49	0	57	270	102	48	4	0%	1.2	31.6%	18.4%	13.2%	1.4%	4.89	3.54	—
2023	26	MIX RAW	2 levels	49	0	57	270	102	48	4	0%	1.2	37.8%	17.8%	20.0%	1.5%	4.89	2.96	—
2025	28	AAA MLE	Albuquerque Isotopes	27	1	30	146	45	22	4	4%	1.1	25.6%	13.6%	12.0%	3.0%	7.28	4.28	—
2025	28	AAA MLE	Albuquerque Isotopes	27	1	30	146	45	22	4	4%	1.1	25.6%	13.6%	12.0%	3.0%	7.28	4.28	—
2025	28	AAA RAW	Albuquerque Isotopes	27	1	30	146	45	22	4	4%	1.1	30.8%	15.1%	15.8%	2.7%	7.28	4.04	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			13	0	13	62	17	11	2	0%	1.0	27.4%	17.7%	9.7%	3.2%	5.68	5.07	-0.1
▸ 2026 season
YTD	29	MLB MLE	New York Mets	51	0	56	245	95	40	4	0%	1.1	33.0%	16.6%	16.4%	1.8%	3.72	3.38	—
YTD	29	MLB MLE	New York Mets	51	0	56	245	95	40	4	0%	1.1	33.0%	16.6%	16.4%	1.8%	3.72	3.38	—
▸ 2026 season — so far · projected rest · full
2026	29	AA RAW	NYM	21	0	27	114	45	18	1	0%	1.3	39.5%	15.8%	23.7%	0.9%	3.71	2.25	—
2026	29	AAA RAW	NYM	17	0	16	69	33	11	1	0%	1.0	47.8%	15.9%	31.9%	1.4%	2.20	1.88	—
2026	29	MLB RAW	NYM	13	0	13	62	17	11	2	0%	1.0	27.4%	17.7%	9.7%	3.2%	5.68	4.80	-0.0
SO FAR	29	MLB RAW	NYM	13	0	13	62	17	11	2	0%	1.0	27.4%	17.7%	9.7%	3.2%	5.68	4.80	-0.0
ROS	29	MLB MLE	NYM	2	0	2	7	2	1	0	0%	0.9	27.4%	13.9%	13.5%	2.9%	4.14	4.14	+0.0
ROS	29	MLB CTX	NYM	2	0	2	8	2	1	0	0%	1.0	27.4%	13.9%	13.5%	2.9%	4.14	4.14	+0.0
2026 TOT	29	MLB MLE	NYM	—	—	57	252	97	41	4	—	—	38.4%	16.3%	22.2%	1.7%	3.73	3.41	+0.8
FULL	29	MLB A+C	NYM	—	—	14	61	97	41	4	—	—	159.5%	67.4%	92.1%	6.9%	14.87	1.98	+0.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	NYM	19	0	20	84	22	12	3	0%	1.1	25.6%	13.9%	11.6%	3.2%	4.75	4.83	-0.1
2027	30	MLB CTX	NYM	18	0	19	80	21	11	3	0%	1.1	25.6%	13.9%	11.6%	3.2%	4.75	4.83	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		33	0	33	150	40	23	5	0%	1.0	26.4%	15.5%	10.9%	3.2%	5.07	4.58	-0.0
/ 200 IP	—	RAW		196	0	200	895	239	138	30	0%	1.0	26.4%	15.5%	10.9%	3.2%	5.07	4.58	-0.1
Career	—	MLE		210	5	265	1216	332	214	20	2%	1.3	27.3%	17.6%	9.6%	1.7%	4.21	3.94	-0.1
/ 200 IP	—	MLE		158	4	200	918	250	162	15	2%	1.3	27.3%	17.6%	9.6%	1.7%	4.21	3.94	-0.8

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
Jefry Yan (OGILVIE)	—	—	4.61	25.9%	13.5%	2.9%	—	4.83	25.6%	11.6%	20	+0.22	—	—	—
Edward Paredes L 2016 · 3.47 FIP	29	SU	3.47	24.1%	13.0%	1.4%	.225	3.55	23.7%	14.0%	86	+0.08	2.36	130	76
Mike Dunn L 2015 · 3.75 FIP	30	SU	3.75	27.7%	11.9%	2.7%	.294	4.21	22.5%	10.9%	110	+0.46	3.71	181	71
Jeremy Horst L 2015 · 4.09 FIP	29	SU	4.09	18.8%	11.2%	2.1%	.291	3.71	15.1%	2.7%	48	-0.38	3.71	108	69
Josh Smoker L 2018 · 3.66 FIP	29	SU	3.66	22.1%	8.4%	2.5%	.318	6.58	14.2%	3.4%	14	+2.92	2.71	230	69
Kyle Regnault L 2018 · 3.82 FIP	29	SU	3.82	27.6%	9.7%	3.3%	.367	—	—	—	—	—	2.88	204	68
Sammy Solís L 2018 · 4.39 FIP	29	SU	4.39	24.9%	9.6%	4.0%	.330	4.05	26.2%	17.3%	23	-0.34	2.51	190	68
Kevin Siegrist L 2017 · 3.95 FIP	28	SU	3.95	25.0%	11.6%	2.7%	.327	—	—	—	—	—	2.72	176	68
Sam Moll L 2021 · 4.62 FIP	29	SU	4.62	26.5%	13.5%	3.8%	.310	2.95	25.1%	16.8%	143	-1.67	2.38	507	67
Dan Runzler L 2015 · 3.78 FIP	30	SU	3.78	19.0%	13.1%	1.2%	.383	4.07	16.5%	4.0%	63	+0.29	3.78	127	67
Adam Loewen L 2015 · 3.84 FIP	31	SU	3.84	25.1%	15.9%	1.6%	.287	3.63	23.2%	7.3%	98	-0.21	2.96	176	67
Josh Edgin L 2016 · 3.64 FIP	29	SU	3.64	22.1%	13.2%	1.3%	.359	3.81	23.2%	13.6%	80	+0.17	3.63	113	67
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	66
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	66
Keith Hessler L 2018 · 4.96 FIP	29	SU	4.96	19.8%	13.3%	3.4%	.348	—	—	—	—	—	3.31	228	66
Wandy Peralta L 2020 · 4.03 FIP	29	SU	4.03	21.9%	9.6%	2.8%	.253	3.70	21.1%	11.3%	161	-0.33	2.69	725	65
Dario Alvarez L 2018 · 3.47 FIP	29	SU	3.47	20.7%	12.4%	1.0%	.250	—	—	—	—	—	3.47	160	65
Jose Meraz L 2017 · 4.34 FIP	29	SU	4.34	16.4%	10.3%	2.4%	.282	3.80	10.5%	-2.0%	30	-0.54	3.78	110	64
Braulio Lara L 2017 · 5.80 FIP	28	SU	5.80	19.8%	17.8%	3.9%	.361	—	—	—	—	—	3.96	118	64
Jeff Ibarra L 2017 · 3.64 FIP	29	SU	3.64	18.1%	7.0%	2.1%	.342	2.85	20.6%	17.2%	29	-0.79	2.85	101	62
Tommy Layne L 2015 · 3.61 FIP	30	SU	3.61	21.7%	12.1%	1.5%	.284	3.34	20.2%	11.0%	97	-0.27	1.32	182	62