Hunter Dula

P Eugene Emeralds

Age 28 RHP 6'1" / 205 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	23	MIX2 levels	39	46	4.11	3.21	27.7%	12.9%	—	K 22.0% · BB 12.3% · FIP 3.91
2023	24	MIX2 levels	43	54	3.83	3.91	25.8%	10.6%	—	K 20.1% · BB 12.1% · FIP 4.86
2024	25	MIX3 levels	35	43	4.19	3.75	23.0%	8.4%	—	K 19.8% · BB 9.6% · FIP 4.06
2027PROJ	28	MLBSF	21	22	4.40	4.40	22.6%	9.3%	0.0
2028PROJ30% MLB	29	MLBSF	6	6	4.47	4.52	22.4%	9.5%	0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsNeil Wagner (age 29) · Matt Ramsey (age 28) · Gerardo Sanchez (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 101

ERA4.40

FIP4.40

K%22.6%

BB%9.3%

K-BB%13.3%

Proj IP22

Value2027 · WAR

Runs saved vs league avg · 22 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)
2021	22	ROK MLE	ACL Giants Black	10	0	10	40	17	4	0	0%	1.0	42.5%	10.0%	32.5%	0.0%	1.80	0.78	—
2021	22	ROK RAW	ACL Giants Black	10	0	10	40	17	4	0	0%	1.0	42.5%	10.0%	32.5%	0.0%	1.80	0.90	—
2022	23	MIX MLE	2 levels	39	0	46	202	56	26	3	0%	1.2	22.0%	12.3%	9.6%	2.0%	4.11	3.91	—
2022	23	MIX RAW	2 levels	39	0	46	202	56	26	3	0%	1.2	27.7%	12.9%	14.9%	1.5%	4.11	3.21	—
2023	24	MIX MLE	2 levels	43	0	54	236	61	25	7	0%	1.3	20.1%	12.1%	8.0%	3.5%	3.83	4.86	—
2023	24	MIX RAW	2 levels	43	0	54	236	61	25	7	0%	1.3	25.8%	10.6%	15.3%	3.0%	3.83	3.91	—
2024	25	MIX MLE	3 levels	35	0	43	178	41	15	5	0%	1.2	19.8%	9.6%	10.2%	2.6%	4.19	4.06	—
2024	25	MIX MLE	3 levels	35	0	43	178	41	15	5	0%	1.2	19.8%	9.6%	10.2%	2.6%	4.19	4.06	—
2024	25	MIX RAW	3 levels	35	0	43	178	41	15	5	0%	1.2	23.0%	8.4%	14.6%	2.8%	4.19	3.75	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SF	21	0	22	93	21	9	3	0%	1.0	22.6%	9.3%	13.3%	3.0%	4.40	4.40	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SF	20	0	21	87	20	8	3	0%	1.0	22.4%	9.5%	12.9%	3.1%	4.47	4.52	+0.0
2028	29	MLB CTX	SF	6	0	6	25	6	2	1	0%	1.0	22.4%	9.5%	12.9%	3.1%	4.47	4.52	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	22.4%	9.5%	12.9%	3.1%	4.47	4.14	+0.0
/ 200 IP	—	RAW		190	0	200	844	192	96	32	0%	1.0	22.4%	9.5%	12.9%	3.1%	4.47	4.14	+1.0
Career	—	MLE		127	0	153	656	144	74	17	0%	1.2	21.9%	11.3%	10.6%	2.6%	3.88	4.10	+0.0
/ 200 IP	—	MLE		166	0	200	858	188	97	22	0%	1.2	21.9%	11.3%	10.6%	2.6%	3.88	4.10	+0.1

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
Hunter Dula (OGILVIE)	—	—	4.40	22.6%	9.3%	3.0%	—	4.52	22.4%	12.9%	21	+0.12	—	—	—
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	89
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	88
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	86
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	86
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	86
Josh Lueke R 2013 · 4.09 FIP	28	SU	4.09	25.3%	11.1%	3.1%	.333	3.28	24.6%	20.9%	90	-0.81	2.29	191	84
Tyler Yates R 2006 · 4.17 FIP	28	SU	4.17	21.2%	10.6%	2.8%	.254	3.70	20.7%	11.1%	151	-0.47	3.23	248	83
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	83
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	83
Santiago Casilla R 2008 · 3.71 FIP	28	SU	3.71	18.8%	7.9%	2.2%	.337	3.37	20.6%	10.4%	155	-0.34	2.76	647	82
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	82
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	82
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	81
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	81
Michael Dimock R 2018 · 3.37 FIP	28	SU	3.37	23.5%	10.7%	1.6%	.346	—	—	—	—	—	3.08	166	81
Matt Pushard R 2024 · 3.87 FIP	26	SU	3.87	24.1%	8.9%	3.0%	.242	3.29	22.2%	14.0%	115	-0.58	2.84	220	81
Greg Aquino R 2006 · 4.41 FIP	28	SU	4.41	23.2%	10.0%	3.6%	.331	4.39	17.4%	5.6%	30	-0.02	4.10	154	80
Rafael Betancourt R 2003 · 3.81 FIP	28	SU	3.81	23.4%	7.1%	3.2%	.216	2.84	25.0%	20.8%	191	-0.97	1.79	686	80
Tyler Walker R 2004 · 4.28 FIP	28	SU	4.28	17.5%	8.4%	2.9%	.311	3.77	18.5%	10.4%	101	-0.51	2.38	289	80
Scott Atchison R 2004 · 3.61 FIP	28	SU	3.61	27.1%	9.0%	3.0%	.309	4.55	19.1%	11.5%	31	+0.94	2.52	340	80