Wyatt Hudepohl

P Brooklyn Cyclones

Age 25 RHP 6'4" / 220 lbs A+ peak 0.2 · 2028

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	ANYM	8	7	29	4.03	3.72	23.8%	13.8%	—	K 17.6% · BB 16.3% · FIP 5.01
2026	24	A+NYM	3	3	12	7.71	5.16	24.5%	6.1%	—	K 24.5% · BB 6.1% · FIP 5.17
2027PROJ	25	MLBNYM	3	3	17	4.67	4.67	22.6%	11.4%	0.0
2028PROJ43% MLB	26	MLBNYM	2	2	9	4.62	4.61	22.8%	11.2%	0.0

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsLandon Knack (age 25) · Dylan DeLucia (age 23) · Jake Lee (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.67

FIP4.67

K%22.6%

BB%11.4%

K-BB%11.1%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

K†5555

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 + 2027 so far)
2024	22	A MLE	St. Lucie Mets	8	7	29	130	31	18	2	88%	3.6	17.6%	16.3%	1.3%	2.4%	4.03	5.01	—
2024	22	A MLE	St. Lucie Mets	8	7	29	130	31	18	2	88%	3.6	17.6%	16.3%	1.3%	2.4%	4.03	5.01	—
2024	22	A RAW	St. Lucie Mets	8	7	29	130	31	18	2	88%	3.6	23.8%	13.8%	10.0%	1.5%	4.03	3.72	—
2026	24	A+ MLE	Brooklyn Cyclones	3	3	12	49	12	3	3	100%	3.9	24.5%	6.1%	18.4%	6.1%	7.71	5.17	—
2026	24	A+ MLE	Brooklyn Cyclones	3	3	12	49	12	3	3	100%	3.9	24.5%	6.1%	18.4%	6.1%	7.71	5.17	—
2026	24	A+ RAW	Brooklyn Cyclones	3	3	12	49	12	3	3	100%	3.9	24.5%	6.1%	18.4%	6.1%	7.71	5.16	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	NYM	3	3	17	72	16	8	2	100%	5.7	22.6%	11.4%	11.1%	3.0%	4.67	4.67	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	NYM	3	3	20	84	19	9	3	100%	6.7	22.8%	11.2%	11.7%	3.0%	4.62	4.61	+0.1
2028	26	MLB CTX	NYM	2	2	9	38	9	4	1	100%	4.5	22.8%	11.2%	11.7%	3.0%	4.62	4.61	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	9	36	8	4	1	100%	8.6	22.8%	11.2%	11.7%	3.0%	4.62	4.23	+0.1
/ 200 IP	—	RAW		33	33	200	844	186	93	23	100%	6.0	22.8%	11.2%	11.7%	3.0%	4.62	4.23	+1.6
Career	—	MLE		11	10	41	179	35	24	6	91%	3.7	19.5%	13.5%	6.0%	3.4%	5.09	5.05	+0.1
/ 200 IP	—	MLE		54	49	200	880	172	119	30	91%	3.7	19.5%	13.5%	6.0%	3.4%	5.09	5.05	+0.7

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
Wyatt Hudepohl (OGILVIE)	—	—	4.67	22.6%	11.4%	3.0%	—	4.61	22.8%	11.7%	20	-0.06	—	—	—
Landon Knack R 2022 · 4.38 FIP	25	SP	4.38	23.0%	10.5%	3.4%	.335	4.41	21.2%	12.3%	382	+0.03	3.64	556	78
Dylan DeLucia R 2024 · 3.88 FIP	23	SP	3.88	21.6%	7.4%	3.0%	.241	5.29	18.0%	7.2%	197	+1.41	3.88	232	78
Jake Lee R 2019 · 4.65 FIP	24	SP-	4.65	25.7%	12.4%	3.9%	.296	3.52	18.7%	10.3%	40	-1.13	2.78	181	77
Jaxon Wiggins R 2024 · 3.53 FIP	22	SP	3.53	22.5%	12.8%	1.3%	.286	3.71	23.6%	9.6%	102	+0.18	3.11	154	77
Antonio Guzman R 2015 · 3.60 FIP	27	SP	3.60	18.8%	11.2%	1.2%	.328	3.47	20.6%	11.3%	170	-0.13	3.15	254	76
Ryan Jennings R 2024 · 3.60 FIP	25	SP	3.60	20.4%	10.4%	1.7%	.286	4.93	25.0%	10.3%	58	+1.33	3.43	142	76
Levi Wells R 2024 · 4.35 FIP	22	SP	4.35	20.0%	12.1%	2.6%	.360	3.82	19.0%	10.2%	132	-0.53	3.70	192	74
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	74
Chris Kachmar R 2021 · 4.29 FIP	24	SP	4.29	16.1%	11.4%	2.0%	.309	4.61	18.4%	9.4%	172	+0.32	4.29	360	74
Jared Lyons R 2024 · 4.72 FIP	23	SP	4.72	22.1%	14.4%	3.0%	.258	4.13	17.6%	8.7%	173	-0.59	3.28	265	73
Brody McCullough R 2023 · 3.58 FIP	23	SP	3.58	23.1%	10.3%	2.1%	.267	4.45	21.3%	11.7%	42	+0.87	3.58	129	73
Shane McCarthy R 2021 · 5.47 FIP	25	SP	5.47	18.9%	11.9%	4.5%	.240	8.32	14.3%	3.9%	18	+2.85	2.07	117	73
Justin Dunn R 2021 · 4.44 FIP	25	SP	4.44	22.5%	13.3%	2.8%	.231	6.06	16.1%	3.2%	60	+1.62	3.54	607	72
Andrew Politi R 2021 · 5.21 FIP	25	SP-	5.21	21.0%	12.2%	4.3%	.320	4.04	22.9%	13.8%	138	-1.17	3.38	292	72
Alfredo Figaro R 2009 · 4.98 FIP	25	SP-	4.98	19.3%	12.0%	3.6%	.370	4.42	7.2%	-1.5%	15	-0.56	3.75	143	72
Britt Reames R 2000 · 4.49 FIP	26	SP	4.49	18.2%	12.9%	2.4%	.230	4.35	21.9%	11.5%	163	-0.14	3.76	204	72
Ramon Ramirez R 2008 · 4.31 FIP	25	SP-	4.31	20.0%	10.5%	2.9%	.200	—	—	—	—	—	3.65	182	72
David Griffin R 2021 · 4.43 FIP	25	SP	4.43	19.2%	11.9%	2.6%	.279	5.25	15.4%	5.9%	168	+0.82	4.43	239	71
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	71
Joel Hanrahan R 2007 · 5.58 FIP	25	SP	5.58	17.4%	15.4%	3.6%	.318	3.06	27.8%	18.1%	218	-2.52	2.08	397	71