Jacob deGrom

PosP

B/TL/R

Born1988-06-19

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

MLBSP40-MANExtFA 2028

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	36	MIX3 levels	7	7	21	1.27	1.27	36.2%	2.5%	1.1	K 36.2% · BB 2.5% · FIP 1.04
2025	37	MLBTEX	30	30	173	2.97	3.56	27.7%	5.5%	3.9
2026	38	MLBTEX	31	31	163	4.20	3.02	30.1%	6.4%	4.8
2027PROJ	39	MLBTEX	22	22	129	3.52	3.39	30.3%	6.2%	3.2
2028PROJ	40	MLBTEX	16	16	99	3.84	3.96	29.2%	6.9%	1.9

Last 3 seasons WAR 9.8 · Next 2 projected WAR 5.1Projected rows: MLB playing time only, park and league context applied.

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2018	30	MLBNYM	74	.164/.211/.179	0	0	9	-0.7
2019	31	MLBNYM	70	.200/.246/.323	2	0	61	-0.2
2021	33	MLBNYM	33	.364/.364/.394	0	0	123	0.2
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -0.7

ContractESTIMATED

Control thru2027Service12.808First FA2028Options2NTC

2027Ext$37M

Form4.18 ERA (proj 3.52) · K 32.8% (proj 30.3%) · BB 7.0% (proj 6.2%) · last 60d · 32 IP through Oct 27

CompsYasutomo Kubo (age 38) · Walter Silva (age 39) · Pablo Ortega (age 39)

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)
2014	26	MLB MLE	New York Mets	22	22	140	565	144	41	7	100%	6.4	25.5%	7.3%	18.2%	1.2%	2.69	2.55	+5.2
2014	26	MLB RAW	New York Mets	22	22	140	565	144	41	7	100%	6.4	25.5%	7.3%	18.2%	1.2%	2.69	2.57	+5.2
2015	27	MLB MLE	New York Mets	30	30	191	751	205	36	16	100%	6.4	27.3%	4.8%	22.5%	2.1%	2.54	2.57	+7.0
2015	27	MLB RAW	New York Mets	30	30	191	751	205	36	16	100%	6.4	27.3%	4.8%	22.5%	2.1%	2.54	2.61	+6.9
2016	28	MLB MLE	New York Mets	24	24	148	604	143	36	15	100%	6.2	23.7%	6.0%	17.7%	2.5%	3.04	3.22	+4.0
2016	28	MLB RAW	New York Mets	24	24	148	604	143	36	15	100%	6.2	23.7%	6.0%	17.7%	2.5%	3.04	3.21	+4.0
2017	29	MLB MLE	New York Mets	31	31	201	827	239	54	28	100%	6.5	28.9%	6.5%	22.4%	3.4%	3.53	3.35	+5.1
2017	29	MLB RAW	New York Mets	31	31	201	827	239	54	28	100%	6.5	28.9%	6.5%	22.4%	3.4%	3.53	3.34	+5.2
2018	30	MLB MLE	New York Mets	32	32	217	835	269	43	10	100%	6.8	32.2%	5.1%	27.1%	1.2%	1.70	1.69	+11.2
2018	30	MLB RAW	New York Mets	32	32	217	835	269	43	10	100%	6.8	32.2%	5.1%	27.1%	1.2%	1.70	1.81	+10.7
2019	31	MLB MLE	New York Mets	32	32	204	804	255	43	19	100%	6.4	31.7%	5.3%	26.4%	2.4%	2.43	2.40	+8.0
2019	31	MLB RAW	New York Mets	32	32	204	804	255	43	19	100%	6.4	31.7%	5.3%	26.4%	2.4%	2.43	2.44	+7.9
2020	32	MLB MLE	New York Mets	12	12	68	268	104	18	7	100%	5.7	38.8%	6.7%	32.1%	2.6%	2.38	2.11	+2.9
2020	32	MLB RAW	New York Mets	12	12	68	268	104	18	7	100%	5.7	38.8%	6.7%	32.1%	2.6%	2.38	2.17	+2.9
2021	33	MIX MLE	2 levels	16	16	95	334	154	11	6	100%	5.9	45.1%	3.4%	41.7%	1.9%	1.04	0.74	+6.0
2021	33	MIX RAW	2 levels	16	16	95	334	154	11	6	100%	5.9	46.1%	3.3%	42.8%	1.8%	1.04	1.03	+5.6
2022	34	MIX MLE	3 levels	15	15	77	288	123	12	11	100%	5.1	42.7%	3.3%	39.3%	3.8%	3.04	1.99	+3.4
2022	34	MIX RAW	3 levels	15	15	77	288	123	12	11	100%	5.1	42.7%	4.2%	38.5%	3.8%	3.04	2.23	+3.2
2023	35	MLB MLE	Texas Rangers	6	6	30	115	45	4	2	100%	5.1	39.1%	3.5%	35.7%	1.6%	2.67	1.12	+1.7
2023	35	MLB RAW	Texas Rangers	6	6	30	115	45	4	2	100%	5.1	39.1%	3.5%	35.7%	1.7%	2.67	1.39	+1.6
2024	36	MIX MLE	3 levels	7	7	21	80	29	2	1	100%	3.0	36.2%	2.5%	33.8%	1.2%	1.27	1.04	+1.2
2024	36	MIX MLE	3 levels	7	7	21	80	29	2	1	100%	3.0	36.2%	2.5%	33.8%	1.2%	1.27	1.04	+1.2
2024	36	MIX RAW	3 levels	7	7	21	80	29	2	1	100%	3.0	36.2%	2.5%	33.8%	1.2%	1.27	1.27	+1.1
2025	37	MLB MLE	Texas Rangers	30	30	173	669	185	37	26	100%	5.8	27.7%	5.5%	22.1%	3.6%	2.97	3.45	+4.1
2025	37	MLB MLE	Texas Rangers	30	30	173	669	185	37	26	100%	5.8	27.7%	5.5%	22.1%	3.6%	2.97	3.45	+4.1
2025	37	MLB RAW	Texas Rangers	30	30	173	669	185	37	26	100%	5.8	27.7%	5.5%	22.1%	3.9%	2.97	3.56	+3.9
2026	38	MLB MLE	Texas Rangers	31	31	163	668	201	43	20	100%	5.2	30.1%	6.4%	23.7%	2.8%	4.20	2.90	+5.1
2026	38	MLB MLE	Texas Rangers	31	31	163	668	201	43	20	100%	5.2	30.1%	6.4%	23.7%	2.8%	4.20	2.90	+5.1
2026	38	MLB RAW	Texas Rangers	31	31	163	668	201	43	20	100%	5.2	30.1%	6.4%	23.7%	3.0%	4.20	3.02	+4.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			279	279	1702	6713	2052	375	166	100%	6.1	30.6%	5.6%	25.0%	2.5%	2.73	2.62	+61.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	39	MLB	TEX	22	22	129	545	165	34	17	100%	5.9	30.3%	6.2%	24.1%	3.1%	3.52	3.39	+3.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	40	MLB MLE	TEX	16	16	99	417	122	29	15	100%	6.2	29.2%	6.9%	22.3%	3.5%	3.70	3.82	+1.9
2028	40	MLB CTX	TEX	16	16	99	418	122	29	16	100%	6.2	29.2%	6.9%	22.3%	3.8%	3.84	3.96	+1.9
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		295	295	1801	7130	2174	404	182	100%	6.1	30.5%	5.7%	24.8%	2.5%	2.79	2.64	+64.0
/ 200 IP	—	RAW		33	33	200	792	241	45	20	100%	6.1	30.5%	5.7%	24.8%	2.5%	2.79	2.64	+7.1
Career	—	MLE		288	288	1729	6808	2092	378	165	100%	6.0	30.7%	5.6%	25.2%	2.4%	2.71	2.54	+62.8
/ 200 IP	—	MLE		33	33	200	788	242	44	19	100%	6.0	30.7%	5.6%	25.2%	2.4%	2.71	2.54	+7.0

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 AAFrisco RoughRiders · 6 IPFIP -0.28 → 0.36 (+0.64)K% 40.0% → 32.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.00%	—	×0.810	32.40%
BB% (unintentional) /BF	0.00%	—	×1.100	0.00%
HR / BF /BF	0.00%	÷1.080	×1.200	0.00%

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 116).

Result: FIP -0.28 → 0.36, 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).

2022 AAASyracuse Mets · 8 IPFIP 5.55 → 6.19 (+0.64)K% 32.3% → 28.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.26%	—	×0.880	28.39%
BB% (unintentional) /BF	12.90%	—	×1.050	13.55%
HR / BF /BF	6.45%	÷1.033	×1.100	6.87%

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 107).

Result: FIP 5.55 → 6.19, 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).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	9.7	138	30.5%	5.9%	1.00	2.83
Stephen Strasburg ('22)	7.3	134	28.9%	6.6%	0.91	3.24
Pedro Martínez ('09)	14.1	166	27.7%	6.7%	0.76	2.93
Clayton Kershaw ('25) MVPCY×3AS×10HOF	14.3	159	27.1%	6.3%	0.74	2.53
Ron Guidry ('75-'88, 47 WAR*)	12.0	199	27.5%*	6.4%*	1.11*	3.56*
Teddy Higuera ('85-'94, 27 WAR*)	6.9	153	25.1%*	7.4%*	1.02*	3.64*
Randy Johnson ('88-'09, 100 WAR*)	20.7	188	34.4%*	8.3%*	1.02*	3.14*

Jacob deGrom

Career Stats + Projections

How the minor-league lines were translated

Career Path Comps

Career Comps

			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
Jacob deGrom (OGILVIE)	—	—	—	—	—	3.1%	—	3.82	29.2%	22.3%	99	+0.43	—	—	—
Yasutomo Kubo R 2019 · 3.98 FIP	38	SP	3.98	20.4%	4.7%	3.6%	.327	—	—	—	—	—	3.98	152	49
Walter Silva R 2016 · 4.22 FIP	39	SP	4.22	10.3%	5.5%	2.4%	.294	4.35	10.0%	1.8%	235	+0.13	3.67	453	15
Pablo Ortega R 2016 · 4.01 FIP	39	SP	4.01	8.9%	4.8%	1.9%	.262	4.49	13.3%	7.1%	148	+0.48	4.01	375	13
Lorenzo Barcelo R 2016 · 3.48 FIP	38	SP	3.48	12.8%	1.1%	2.4%	.329	—	—	—	—	—	3.14	259	10
Mauricio Lara L 2017 · 3.70 FIP	38	SP	3.70	12.0%	6.3%	1.5%	.301	4.96	12.3%	5.5%	111	+1.26	3.62	444	3
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	0
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	0