Nick Hull

P Tacoma Rainiers

Age 27 RHP 6'0" / 205 lbs AAA

Overview

AAAPROSPECT

ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	32	10	89	3.96	3.54	24.5%	10.7%	—	K 19.0% · BB 12.2% · FIP 4.62
2025	25	AACHC	35	2	57	3.61	4.09	22.7%	10.5%	—	K 18.4% · BB 11.6% · FIP 5.07
2026	26	AAASEA	18	9	54	7.17	4.86	17.7%	10.6%	—	K 15.2% · BB 9.6% · FIP 4.93
2027PROJ	27	MLBSEA	67	0	70	5.29	5.29	15.9%	11.1%	-0.6
2028PROJ43% MLB	28	MLBSEA	28	0	29	5.25	5.28	16.6%	11.1%	-0.2
2029PROJ59% MLB	29	MLBSEA	36	0	38	5.27	5.34	16.8%	11.1%	-0.3

Next 3 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control45Command45

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsDennis O'Grady (age 26) · Tyler Yates (age 26) · Jorge Reyes (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 117

ERA5.29

FIP5.29

K%15.9%

BB%11.1%

K-BB%4.8%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL4545

CMD4545

K†3040

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)
2022	22	MIX MLE	2 levels	4	3	10	38	7	3	0	75%	2.4	18.4%	7.9%	10.5%	0.0%	3.72	2.54	—
2022	22	MIX RAW	2 levels	4	3	10	38	7	3	0	75%	2.4	18.4%	7.9%	10.5%	0.0%	3.72	2.58	—
2023	23	MIX MLE	2 levels	23	16	92	380	88	39	6	70%	4.0	17.2%	12.1%	5.2%	2.0%	4.11	4.26	—
2023	23	MIX RAW	2 levels	23	16	92	380	88	39	6	70%	4.0	23.2%	10.3%	12.9%	1.6%	4.11	3.31	—
2024	24	MIX MLE	2 levels	32	10	89	383	94	41	8	31%	2.8	19.0%	12.2%	6.8%	2.9%	3.96	4.62	—
2024	24	MIX MLE	2 levels	32	10	89	383	94	41	8	31%	2.8	19.0%	12.2%	6.8%	2.9%	3.96	4.62	—
2024	24	MIX RAW	2 levels	32	10	89	383	94	41	8	31%	2.8	24.5%	10.7%	13.8%	2.1%	3.96	3.54	—
2025	25	AA MLE	Knoxville Smokies	35	2	57	247	56	26	7	6%	1.6	18.4%	11.6%	6.8%	3.7%	3.61	5.07	—
2025	25	AA MLE	Knoxville Smokies	35	2	57	247	56	26	7	6%	1.6	18.4%	11.6%	6.8%	3.7%	3.61	5.07	—
2025	25	AA RAW	Knoxville Smokies	35	2	57	247	56	26	7	6%	1.6	22.7%	10.5%	12.1%	2.8%	3.61	4.09	—
2026	26	AAA MLE	Tacoma Rainiers	18	9	54	254	45	27	8	50%	3.0	15.2%	9.6%	5.7%	3.5%	7.17	4.93	—
2026	26	AAA MLE	Tacoma Rainiers	18	9	54	254	45	27	8	50%	3.0	15.2%	9.6%	5.7%	3.5%	7.17	4.93	—
2026	26	AAA RAW	Tacoma Rainiers	18	9	54	254	45	27	8	50%	3.0	17.7%	10.6%	7.1%	3.1%	7.17	4.86	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	SEA	67	0	70	296	47	33	9	0%	1.0	15.9%	11.1%	4.8%	3.2%	5.29	5.29	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	SEA	65	0	68	287	47	32	9	0%	1.0	16.6%	11.1%	5.5%	3.3%	5.25	5.28	-0.5
2029	29	MLB MLE	SEA	62	0	65	274	46	30	9	0%	1.0	16.8%	11.1%	5.7%	3.4%	5.27	5.34	-0.6
2028	28	MLB CTX	SEA	28	0	29	122	20	14	4	0%	1.0	16.6%	11.1%	5.5%	3.3%	5.25	5.28	-0.2
2029	29	MLB CTX	SEA	36	0	38	160	27	18	5	0%	1.1	16.8%	11.1%	5.7%	3.4%	5.27	5.34	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		64	0	67	283	47	31	9	0%	1.0	16.7%	11.1%	5.6%	3.3%	5.26	4.93	-0.3
/ 200 IP	—	RAW		190	0	200	844	140	92	27	0%	1.1	16.7%	11.1%	5.6%	3.3%	5.26	4.93	-0.9
Career	—	MLE		112	40	302	1302	229	149	37	36%	2.7	17.6%	11.4%	6.2%	2.8%	4.50	4.60	-1.2
/ 200 IP	—	MLE		74	27	200	863	152	99	24	36%	2.7	17.6%	11.4%	6.2%	2.8%	4.50	4.60	-1.7

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
Nick Hull (OGILVIE)	—	—	5.29	15.9%	11.1%	3.2%	—	5.31	16.7%	5.6%	133	+0.02	—	—	—
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	87
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	86
Jorge Reyes R 2015 · 4.58 FIP	27	SW	4.58	15.9%	8.5%	3.2%	.307	3.49	14.2%	6.2%	129	-1.09	3.39	227	85
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	85
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	84
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	82
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	81
Aaron Northcraft R 2016 · 4.19 FIP	26	SW	4.19	16.1%	8.3%	2.5%	.309	3.32	24.1%	13.4%	34	-0.87	3.32	252	81
Alfonso Sanchez R 2015 · 4.96 FIP	27	SP-	4.96	12.5%	9.1%	3.2%	.346	4.85	14.0%	5.3%	138	-0.11	4.51	224	81
Donovan Hand R 2013 · 4.72 FIP	27	SW	4.72	12.9%	7.0%	3.3%	.279	4.30	11.1%	6.8%	97	-0.42	4.30	305	80
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	80
Taylor Grover R 2017 · 4.93 FIP	26	SW	4.93	20.0%	10.9%	3.9%	.320	4.89	16.2%	8.9%	14	-0.04	3.68	239	79
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	79
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	79
Chris Jensen R 2018 · 5.31 FIP	27	SW	5.31	12.0%	10.6%	3.4%	.347	—	—	—	—	—	4.47	488	79
Jose Pina R 2015 · 4.90 FIP	29	SW	4.90	16.9%	9.2%	3.8%	.231	3.66	13.6%	6.9%	246	-1.24	3.63	424	78
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	78
Andres Santiago R 2017 · 4.16 FIP	27	SW	4.16	16.3%	9.1%	2.3%	.384	5.26	13.1%	3.2%	159	+1.10	3.76	291	78
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	77
Robbie Peto R 2023 · 5.75 FIP	25	SW	5.75	15.3%	13.4%	4.1%	.325	—	—	—	—	—	5.39	232	77

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	68	16.4%	11.1%	1.27	5.27
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*