Noah Syndergaard

Noah Syndergaard P ACL White Sox

Age 33 RHP 6'6" / 242 lbs ROK peak 0.7 · 2026

2026 ROS PROJECTION0 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 131123vR 115

ERA4.74

FIP4.57

K%20.6%

BB%7.6%

K-BB%13.1%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 6 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†5050

Statcast Percentiles

FB Velo

p1892.2

Whiff%

p1017.9%

p1014.3%

xwOBA vs

p100.381

CT-1.5

FB-2.1

SL-2.3

CH-8.9

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	22	MIX MLE	2 levels	29	29	180	716	200	37	21	100%	6.2	27.4%	5.2%	22.1%	2.9%	3.01	3.06	+4.1
2015	22	MIX RAW	2 levels	29	29	180	716	200	37	21	100%	6.2	27.9%	5.2%	22.8%	2.9%	3.01	3.01	+4.3
2016	23	MLB MLE	New York Mets	31	30	184	744	218	41	11	97%	5.9	29.3%	5.5%	23.8%	1.5%	2.60	2.14	+6.7
2016	23	MLB RAW	New York Mets	31	30	184	744	218	41	11	97%	5.9	29.3%	5.5%	23.8%	1.5%	2.60	2.17	+6.6
2017	24	MIX MLE	2 levels	8	8	31	130	36	2	0	100%	3.9	27.4%	1.6%	25.8%	0.0%	2.87	0.99	+1.6
2017	24	MIX RAW	2 levels	8	8	31	130	36	2	0	100%	3.9	27.7%	1.5%	26.2%	0.0%	2.87	0.99	+1.6
2018	25	MLB MLE	New York Mets	25	25	154	644	155	37	9	100%	6.2	24.1%	5.7%	18.3%	1.4%	3.03	2.56	+4.7
2018	25	MLB RAW	New York Mets	25	25	154	644	155	37	9	100%	6.2	24.1%	5.7%	18.3%	1.4%	3.03	2.57	+4.7
2019	26	MLB MLE	New York Mets	32	32	198	825	202	48	24	100%	6.2	24.5%	5.8%	18.7%	2.9%	4.28	3.37	+3.7
2019	26	MLB RAW	New York Mets	32	32	198	825	202	48	24	100%	6.2	24.5%	5.8%	18.7%	2.9%	4.28	3.36	+3.8
2021	28	MIX MLE	4 levels	7	7	10	38	11	1	2	100%	1.4	28.9%	2.6%	26.3%	5.3%	2.70	3.88	+0.1
2021	28	MIX RAW	4 levels	7	7	10	38	11	1	2	100%	1.4	28.9%	2.6%	26.3%	5.3%	2.70	3.80	+0.1
2022	29	MLB MLE	Philadelphia Phillies	25	24	135	565	95	31	14	96%	5.4	16.8%	5.5%	11.3%	2.3%	3.94	3.64	+2.1
2022	29	MLB RAW	Philadelphia Phillies	25	24	135	565	95	31	14	96%	5.4	16.8%	5.5%	11.3%	2.5%	3.94	3.73	+1.9
2023	30	MIX MLE	2 levels	20	20	99	430	64	19	23	100%	4.9	14.3%	4.9%	9.5%	5.6%	6.39	5.60	-0.8
2023	30	MIX MLE	2 levels	20	20	99	430	64	19	23	100%	4.9	14.3%	4.9%	9.5%	5.6%	6.39	5.60	-0.8
2023	30	MIX RAW	2 levels	20	20	99	430	64	19	23	100%	4.9	14.9%	4.4%	10.5%	5.3%	6.39	5.41	-0.6
2025	32	MIX MLE	2 levels	6	6	23	95	14	2	5	100%	3.9	13.6%	2.1%	11.5%	0.0%	5.40	2.22	—
2025	32	MIX MLE	2 levels	6	6	23	95	14	2	5	100%	3.9	13.6%	2.1%	11.5%	0.0%	5.40	2.22	—
2025	32	MIX RAW	2 levels	6	6	23	95	14	2	5	100%	3.9	14.7%	2.1%	12.6%	5.3%	5.40	4.94	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			164	162	941	3904	928	207	100	99%	5.7	23.8%	5.3%	18.5%	2.6%	3.71	3.17	+20.3
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	33	MLB	CWS	1	1	6	25	5	2	1	100%	6.0	20.6%	7.6%	13.1%	3.4%	4.74	4.57	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	CWS	10	10	62	263	52	21	10	100%	6.2	19.7%	8.1%	11.7%	3.7%	4.82	4.87	+0.0
2028	35	MLB MLE	CWS	9	9	56	236	44	20	10	100%	6.2	18.8%	8.6%	10.1%	4.0%	5.05	5.21	-0.2
2027	34	MLB CTX	CWS	10	10	62	262	52	21	10	100%	6.2	19.7%	8.1%	11.7%	3.8%	4.86	4.91	+0.0
2028	35	MLB CTX	CWS	9	9	56	236	44	20	10	100%	6.2	18.8%	8.6%	10.1%	4.1%	5.09	5.25	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		184	182	1060	4404	1024	249	120	99%	5.8	23.3%	5.6%	17.6%	2.7%	3.85	3.34	+20.4
/ 200 IP	—	RAW		35	34	200	831	193	47	23	99%	5.8	23.3%	5.6%	17.6%	2.7%	3.85	3.34	+3.8
Career	—	MLE		183	181	1013	4187	987	220	104	99%	5.5	23.6%	5.3%	18.3%	2.5%	3.69	3.15	+19.8
/ 200 IP	—	MLE		36	36	200	826	195	43	21	99%	5.5	23.6%	5.3%	18.3%	2.5%	3.69	3.15	+3.7

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
Noah Syndergaard (OGILVIE)	—	—	4.57	20.6%	7.6%	3.4%	—	5.03	19.3%	10.9%	118	+0.46	—	—	—
Manuel Flores R 2019 · 4.32 FIP	33	SP	4.32	17.1%	7.4%	3.1%	.291	—	—	—	—	—	3.46	515	80
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	78
Jarrett Grube R 2015 · 3.75 FIP	33	SP	3.75	18.7%	4.2%	3.1%	.285	4.57	17.3%	9.6%	253	+0.82	3.75	393	74
Hector Ambriz R 2016 · 3.63 FIP	32	SP	3.63	16.0%	6.4%	2.0%	.273	6.40	10.4%	2.9%	91	+2.77	3.63	155	74
Guillermo Moscoso R 2017 · 3.77 FIP	33	SP	3.77	14.5%	6.9%	1.8%	.270	4.64	14.9%	7.5%	176	+0.87	3.77	264	73
Mitch Talbot R 2018 · 3.82 FIP	34	SP	3.82	13.7%	5.6%	2.1%	.281	5.01	13.2%	8.9%	59	+1.19	3.82	162	73
Jason Hammel R 2016 · 4.37 FIP	33	SP	4.37	20.8%	7.7%	3.8%	.262	4.28	17.1%	11.3%	307	-0.09	3.54	645	72
Frankie De La Cruz R 2017 · 3.77 FIP	33	SP	3.77	15.2%	8.0%	1.7%	.262	4.38	16.2%	8.2%	114	+0.61	3.77	240	70
Cory Riordan R 2016 · 4.24 FIP	30	SP	4.24	14.3%	5.0%	3.1%	.341	—	—	—	—	—	4.24	154	69
Jair Jurrjens R 2017 · 4.27 FIP	31	SP	4.27	16.3%	7.9%	2.8%	.335	—	—	—	—	—	4.27	125	69
Matt Garza R 2017 · 4.57 FIP	33	SP	4.57	15.7%	8.1%	3.2%	.283	—	—	—	—	—	4.00	365	69
Jake Peavy R 2015 · 4.07 FIP	34	SP	4.07	17.3%	5.7%	3.1%	.278	4.35	19.6%	12.9%	119	+0.28	4.07	262	69
Clay Buchholz R 2018 · 3.61 FIP	33	SP	3.61	19.0%	6.4%	2.4%	.254	5.36	15.4%	9.5%	59	+1.75	2.51	433	68
Kyle Davies R 2015 · 3.58 FIP	31	SP	3.58	13.8%	6.1%	1.6%	.301	—	—	—	—	—	3.58	153	67
Matt Buschmann R 2016 · 4.84 FIP	32	SP	4.84	12.8%	8.4%	3.2%	.325	—	—	—	—	—	4.03	277	67
Jonathan Castellanos R 2015 · 3.63 FIP	33	SP	3.63	12.2%	6.5%	1.3%	.313	4.15	11.8%	3.5%	216	+0.52	3.40	394	66
Mitch Atkins R 2017 · 4.77 FIP	31	SP	4.77	14.3%	8.1%	3.4%	.303	—	—	—	—	—	3.65	205	65
Kameron Loe R 2016 · 3.84 FIP	34	SP	3.84	11.9%	5.3%	2.0%	.356	3.38	17.1%	9.1%	133	-0.46	3.38	201	65
Leo Medrano R 2016 · 4.34 FIP	33	SP	4.34	11.0%	7.3%	2.3%	.312	—	—	—	—	—	3.76	222	65
Logan Duran R 2015 · 3.42 FIP	33	SP	3.42	15.8%	10.0%	0.7%	.287	3.77	15.3%	6.4%	95	+0.35	3.42	187	64

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	0.9	62	19.8%	8.1%	1.43	4.86
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79