Jacob deGrom

PosP

B/TL/R

Born1988-06-19

Age (2026)38

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	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	+5.8
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	+5.7
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	+3.1
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	+3.1
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	+3.9
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	+3.9
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	+9.7
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	+9.2
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	+6.7
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	+6.6
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	+2.5
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	+2.4
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	+5.4
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	+5.0
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	+2.9
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	+2.7
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	+1.5
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	+1.5
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	+1.4
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	+1.0
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	+1.0
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	+1.0
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	+3.1
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	+3.1
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	+2.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			254	254	1549	6081	1893	326	158	100%	6.1	31.1%	5.4%	25.8%	2.6%	2.68	2.61	+45.7
▸ 2026 season
YTD	38	MLB MLE	Texas Rangers	28	28	149	601	186	35	19	100%	5.3	30.9%	5.8%	25.1%	2.9%	3.80	2.84	+3.9
YTD	38	MLB MLE	Texas Rangers	28	28	149	601	186	35	19	100%	5.3	30.9%	5.8%	25.1%	2.9%	3.80	2.84	+3.9
▸ 2026 season — so far · projected rest · full
2026	38	MLB RAW	TEX	28	28	149	601	186	35	19	100%	5.3	30.9%	5.8%	25.1%	3.2%	3.80	2.96	+3.6
SO FAR	38	MLB RAW	TEX	28	28	149	601	186	35	19	100%	5.3	30.9%	5.8%	25.1%	3.2%	3.80	2.96	+3.6
ROS	38	MLB MLE	TEX	2	2	14	58	18	3	2	100%	6.8	30.5%	5.7%	24.8%	3.3%	3.02	3.07	+0.3
ROS	38	MLB CTX	TEX	2	2	14	59	18	3	2	100%	7.0	30.5%	5.7%	24.8%	3.6%	3.15	3.20	+0.3
2026 TOT	38	MLB MLE	TEX	—	—	163	659	204	38	21	—	—	30.9%	5.8%	25.1%	3.2%	3.73	2.86	+4.2
FULL	38	MLB A+C	TEX	—	—	163	688	204	38	21	—	—	29.6%	5.6%	24.0%	3.1%	3.74	2.99	+4.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	39	MLB MLE	TEX	18	18	108	456	133	29	17	100%	6.0	29.2%	6.4%	22.8%	3.7%	3.69	3.88	+1.3
2028	40	MLB MLE	TEX	16	16	93	393	110	28	16	100%	5.8	28.1%	7.1%	20.9%	4.2%	4.06	4.31	+0.6
2027	39	MLB CTX	TEX	18	18	108	456	133	29	18	100%	6.0	29.2%	6.4%	22.8%	4.0%	3.84	4.03	+1.3
2028	40	MLB CTX	TEX	16	16	93	393	110	28	18	100%	5.8	28.1%	7.1%	20.9%	4.5%	4.23	4.48	+0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		290	290	1763	6988	2154	387	196	100%	6.1	30.8%	5.5%	25.3%	2.8%	2.84	2.74	+48.8
/ 200 IP	—	RAW		33	33	200	793	244	44	22	100%	6.1	30.8%	5.5%	25.3%	2.8%	2.84	2.74	+5.5
Career	—	MLE		263	263	1575	6176	1933	329	157	100%	6.0	31.3%	5.3%	26.0%	2.5%	2.66	2.53	+47.6
/ 200 IP	—	MLE		33	33	200	784	246	42	20	100%	6.0	31.3%	5.3%	26.0%	2.5%	2.66	2.53	+5.4

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
Jacob deGrom (OGILVIE)	—	—	3.61	29.1%	5.6%	3.4%	—	4.08	28.7%	21.9%	201	+0.47	—	—	—
Yasutomo Kubo R 2019 · 3.98 FIP	38	SP	3.98	20.4%	4.7%	3.6%	.327	—	—	—	—	—	3.98	152	57
A.J. Burnett R 2015 · 3.16 FIP	38	SP	3.16	20.5%	6.7%	1.7%	.327	—	—	—	—	—	3.16	164	49
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	428	32
Ryan Vogelsong R 2015 · 4.45 FIP	38	SP-	4.45	18.1%	9.4%	3.1%	.295	4.79	16.7%	6.3%	82	+0.34	4.45	217	30
Aaron Harang R 2015 · 4.47 FIP	37	SP	4.47	14.4%	6.4%	3.2%	.288	—	—	—	—	—	4.47	172	30
Adam Wainwright R 2020 · 4.11 FIP	38	SP	4.11	20.6%	5.7%	3.7%	.245	3.99	17.8%	11.2%	499	-0.12	2.03	1,127	30
Colby Lewis R 2016 · 4.67 FIP	36	SP	4.67	15.5%	5.9%	3.9%	.239	—	—	—	—	—	3.89	321	29
Rich Hill L 2018 · 3.59 FIP	38	SP	3.59	27.4%	6.9%	3.5%	.260	3.88	23.9%	15.6%	256	+0.29	2.05	1,030	28
Logan Ondrusek R 2021 · 4.34 FIP	36	SP	4.34	19.2%	7.3%	3.5%	.312	—	—	—	—	—	4.34	138	27
Brad Penny R 2015 · 3.68 FIP	37	SP	3.68	12.0%	5.8%	1.6%	.346	—	—	—	—	—	3.68	135	26
Sergio Mitre R 2019 · 4.54 FIP	38	SP	4.54	11.8%	6.5%	2.9%	.355	—	—	—	—	—	4.54	156	20
CC Sabathia L 2018 · 3.76 FIP	38	SP	3.76	21.1%	7.7%	2.7%	.288	5.19	22.9%	14.6%	107	+1.43	3.76	756	19
Lorenzo Barcelo R 2016 · 3.48 FIP	38	SP	3.48	12.8%	1.1%	2.4%	.329	—	—	—	—	—	3.28	199	18
Tim Hudson R 2015 · 4.41 FIP	40	SP	4.41	12.2%	6.9%	2.7%	.294	—	—	—	—	—	4.41	124	18
Jonathan Sánchez L 2019 · 4.73 FIP	36	SP	4.73	18.1%	8.3%	3.9%	.339	—	—	—	—	—	4.73	109	18
R.A. Dickey R 2015 · 4.31 FIP	40	SP	4.31	14.3%	6.8%	2.8%	.253	4.63	17.0%	8.7%	360	+0.32	4.31	574	17
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	16
Randy Wolf L 2015 · 3.40 FIP	38	SP	3.40	16.6%	7.7%	1.3%	.329	—	—	—	—	—	3.40	174	12
Wandy Rodriguez L 2015 · 3.83 FIP	36	SP-	3.83	19.4%	8.5%	2.4%	.312	—	—	—	—	—	3.83	101	9
Eric Stults L 2015 · 4.27 FIP	35	SP	4.27	14.5%	5.9%	3.0%	.266	—	—	—	—	—	4.27	138	9

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.6	109	28.8%	6.3%	1.45	3.75
Luis Garcia ('23)	1.7	113	25.5%	7.7%	1.19	3.63
Triston McKenzie ('24)	2.1	105	26.0%	9.4%	1.52	3.94
Kutter Crawford ('24)	2.0	130	23.9%	7.2%	1.45	4.47
Braxton Garrett ('24)	1.6	80	23.1%	5.7%	1.04	3.98
Domingo Germán ('24)	2.6	88	24.4%	7.4%	1.65	4.58
Tyler Skaggs ('19)	1.7	85	22.9%	8.2%	1.09	4.24

Jacob deGrom

Career Stats + Projections

Career Path Comps

Career Comps