Hueston Morrill

P Somerset Patriots

Age 27 RHP 5'9" / 168 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	41	0	57	3.34	3.44	24.5%	8.0%	—	K 19.8% · BB 8.7% · FIP 4.54
2025	25	MIX2 levels	36	0	48	0.76	2.95	24.7%	10.0%	—	K 19.6% · BB 9.3% · FIP 3.09
2026	26	MIX2 levels	15	1	18	7.64	3.95	24.7%	12.4%	—	K 16.5% · BB 16.8% · FIP 3.83
2027PROJ	27	MLBNYY	1	0	1	4.84	4.84	18.4%	11.3%	-0.0
2028PROJ38% MLB	28	MLBNYY	16	0	17	4.84	4.88	18.8%	11.2%	-0.1
2029PROJ56% MLB	29	MLBNYY	20	0	21	4.90	4.96	18.9%	11.3%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control50Command50

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsFrancisco Rodriguez (age 27) · Ricky Stone (age 27) · Luis Mateo (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.84

FIP4.84

K%18.4%

BB%11.3%

K-BB%7.1%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5050

K†4545

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 the standard WAR scale.

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)
2023	23	MIX MLE	2 levels	7	0	10	41	10	2	2	0%	1.4	24.4%	4.9%	19.5%	4.9%	6.52	4.34	—
2023	23	MIX RAW	2 levels	7	0	10	41	10	2	2	0%	1.4	24.4%	4.9%	19.5%	4.9%	6.52	4.34	—
2024	24	MIX MLE	2 levels	41	0	57	237	58	19	6	0%	1.4	19.8%	8.7%	11.1%	3.7%	3.34	4.54	—
2024	24	MIX MLE	2 levels	41	0	57	237	58	19	6	0%	1.4	19.8%	8.7%	11.1%	3.7%	3.34	4.54	—
2024	24	MIX RAW	2 levels	41	0	57	237	58	19	6	0%	1.4	24.5%	8.0%	16.5%	2.5%	3.34	3.44	—
2025	25	MIX MLE	2 levels	36	0	48	170	42	17	2	0%	1.3	19.6%	9.3%	10.4%	0.9%	0.76	3.09	—
2025	25	MIX MLE	2 levels	36	0	48	170	42	17	2	0%	1.3	19.6%	9.3%	10.4%	0.9%	0.76	3.09	—
2025	25	MIX RAW	2 levels	36	0	48	170	42	17	2	0%	1.3	24.7%	10.0%	14.7%	1.2%	0.76	2.95	—
2026	26	MIX MLE	2 levels	15	1	18	89	22	11	2	7%	1.2	16.5%	16.8%	-0.3%	0.0%	7.64	3.83	—
2026	26	MIX MLE	2 levels	15	1	18	89	22	11	2	7%	1.2	16.5%	16.8%	-0.3%	0.0%	7.64	3.83	—
2026	26	MIX RAW	2 levels	15	1	18	89	22	11	2	7%	1.2	24.7%	12.4%	12.4%	2.2%	7.64	3.95	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	NYY	1	0	1	4	1	0	0	0%	1.0	18.4%	11.3%	7.1%	2.7%	4.84	4.84	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	NYY	42	0	44	188	35	21	5	0%	1.1	18.8%	11.2%	7.5%	2.8%	4.84	4.88	-0.2
2029	29	MLB MLE	NYY	36	0	37	157	30	18	5	0%	1.0	18.9%	11.3%	7.6%	3.0%	4.90	4.96	-0.2
2028	28	MLB CTX	NYY	16	0	17	72	13	8	2	0%	1.1	18.8%	11.2%	7.5%	2.8%	4.84	4.88	-0.1
2029	29	MLB CTX	NYY	20	0	21	89	17	10	3	0%	1.1	18.9%	11.3%	7.6%	3.0%	4.90	4.96	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		36	0	37	158	30	18	5	0%	1.0	18.8%	11.3%	7.6%	2.9%	4.87	4.54	+0.0
/ 200 IP	—	RAW		190	0	200	844	160	96	27	0%	1.1	18.8%	11.3%	7.6%	2.9%	4.87	4.54	+0.0
Career	—	MLE		99	1	132	537	105	53	12	1%	1.3	19.6%	9.9%	9.6%	2.3%	3.21	3.95	-0.4
/ 200 IP	—	MLE		150	2	200	816	160	81	18	1%	1.3	19.6%	9.9%	9.6%	2.3%	3.21	3.95	-0.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AASomerset Patriots · 11 IPFIP 3.31 → 3.83 (+0.52)K% 20.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.34%	—	×0.810	16.47%
BB% (unintentional) /BF	15.25%	—	×1.100	16.78%
HR / BF /BF	0.00%	÷1.000	×1.200	0.00%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.31 → 3.83, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2026 ROKFCL Yankees · 7 IPFIP 4.79 → 7.36 (+2.58)K% 33.3% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.680	22.67%
BB% (unintentional) /BF	6.67%	—	×1.250	8.33%
HR / BF /BF	6.67%	÷1.000	×1.400	9.33%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.79 → 7.36, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 A+Hudson Valley Renegades · 43 IPFIP 2.33 → 3.09 (+0.76)K% 25.5% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.50%	—	×0.770	19.64%
BB% (unintentional) /BF	8.05%	—	×1.150	9.26%
HR / BF /BF	0.67%	÷0.969	×1.250	0.87%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 2.33 → 3.09, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AASomerset Patriots · 4 IPFIP 7.12 → 8.16 (+1.04)K% 19.0% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.05%	—	×0.810	15.43%
BB% (unintentional) /BF	23.81%	—	×1.100	26.19%
HR / BF /BF	4.76%	÷1.030	×1.200	5.55%

Result: FIP 7.12 → 8.16, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+Hudson Valley Renegades · 48 IPFIP 3.55 → 4.54 (+1.00)K% 25.8% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.76%	—	×0.770	19.83%
BB% (unintentional) /BF	7.58%	—	×1.150	8.71%
HR / BF /BF	3.03%	÷1.032	×1.250	3.67%

Result: FIP 3.55 → 4.54, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ATampa Tarpons · 9 IPFIP 2.88 → 3.51 (+0.63)K% 17.9% → 13.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.95%	—	×0.740	13.28%
BB% (unintentional) /BF	10.26%	—	×1.180	12.10%
HR / BF /BF	0.00%	÷0.979	×1.300	0.00%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 96).

Result: FIP 2.88 → 3.51, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ATampa Tarpons · 7 IPFIP 5.58 → 6.85 (+1.28)K% 20.7% → 15.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.69%	—	×0.740	15.31%
BB% (unintentional) /BF	3.45%	—	×1.180	4.07%
HR / BF /BF	6.90%	÷1.086	×1.300	8.26%

Result: FIP 5.58 → 6.85, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Hueston Morrill (OGILVIE)	—	—	4.84	18.4%	11.3%	2.7%	—	4.92	18.8%	7.5%	82	+0.08	—	—	—
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	94
Ricky Stone R 2002 · 4.16 FIP	27	SU	4.16	18.8%	9.3%	2.7%	.297	4.96	13.7%	7.4%	165	+0.80	4.16	243	89
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	89
Armando Rivero R 2015 · 4.29 FIP	27	SU	4.29	18.7%	13.5%	1.9%	.256	2.70	32.9%	19.8%	68	-1.59	2.70	125	89
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	88
Cody Satterwhite R 2015 · 3.71 FIP	28	SU	3.71	20.2%	9.8%	1.9%	.333	4.04	17.7%	10.2%	75	+0.33	3.69	147	87
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	87
Greg Burke R 2009 · 3.93 FIP	26	SU	3.93	16.2%	8.8%	2.0%	.295	—	—	—	—	—	3.61	139	86
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	86
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	85
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	85
Justin Lehr R 2005 · 4.58 FIP	27	SU	4.58	14.9%	10.4%	2.6%	.252	4.23	16.0%	8.0%	16	-0.35	4.23	148	85
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	85
Saul Rivera R 2006 · 3.83 FIP	28	SU	3.83	14.8%	9.4%	1.4%	.267	3.47	15.9%	7.3%	215	-0.36	3.09	276	84
Jonathan Aro R 2018 · 3.97 FIP	27	SU	3.97	17.3%	10.9%	1.7%	.280	3.28	12.7%	9.3%	64	-0.69	2.57	323	84
Tucker Healy R 2017 · 4.33 FIP	27	SU	4.33	15.6%	11.5%	2.0%	.321	5.20	19.2%	8.7%	24	+0.87	2.82	174	84
Jason Boyd R 2000 · 3.68 FIP	27	SU	3.68	19.9%	12.4%	1.2%	.346	4.86	13.9%	2.8%	81	+1.18	3.68	128	84
Confesor Lara R 2016 · 4.26 FIP	25	SU	4.26	16.4%	11.0%	2.1%	.329	—	—	—	—	—	3.74	111	84
Cole Uvila R 2021 · 4.06 FIP	27	SU	4.06	20.4%	13.2%	1.8%	.360	3.16	20.2%	6.3%	44	-0.90	3.16	155	84
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	84

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	0.7	47	18.6%	11.3%	1.09	4.86
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*