Jamison Hill

P Amarillo Sod Poodles

Age 28 RHP 6'1" / 180 lbs AA peak 0.4 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	23	MIX3 levels	27	25	127	4.66	3.72	23.5%	10.2%	—	K 18.4% · BB 11.6% · FIP 4.83
2023	24	AAARI	26	25	118	4.35	4.65	20.0%	14.2%	—	K 16.2% · BB 15.6% · FIP 4.72
2024	25	MIX2 levels	28	13	89	7.41	5.54	19.2%	9.2%	—	K 16.0% · BB 9.6% · FIP 5.44
2025	26	No MLB games played
2026	27	No MLB games played
2027PROJ	28	MLBARI	1	1	1	4.75	4.75	19.4%	9.4%	0.0
2028PROJ31% MLB	29	MLBARI	3	3	16	4.78	4.83	19.6%	9.6%	0.1
2029PROJ51% MLB	30	MLBARI	4	4	24	4.88	4.97	19.5%	9.9%	0.1

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

Contract

No contract data on file.

CompsFabio Castillo (age 28) · Omar Bencomo (age 28) · Travis Smith (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.75

FIP4.75

K%19.4%

BB%9.4%

K-BB%10.0%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Grades · Contract

Scouting Grades

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)
2021	22	A MLE	Visalia Rawhide	2	2	7	26	6	2	0	100%	3.5	23.1%	7.7%	15.4%	0.0%	0.00	2.13	—
2021	22	A RAW	Visalia Rawhide	2	2	7	26	6	2	0	100%	3.5	23.1%	7.7%	15.4%	0.0%	0.00	2.24	—
2022	23	MIX MLE	3 levels	27	25	127	550	129	56	13	93%	4.7	18.4%	11.6%	6.9%	3.3%	4.66	4.83	—
2022	23	MIX RAW	3 levels	27	25	127	550	129	56	13	93%	4.7	23.5%	10.2%	13.3%	2.4%	4.66	3.72	—
2023	24	AA MLE	Amarillo Sod Poodles	26	25	118	521	104	74	13	96%	4.5	16.2%	15.6%	0.5%	1.8%	4.35	4.72	—
2023	24	AA RAW	Amarillo Sod Poodles	26	25	118	521	104	74	13	96%	4.5	20.0%	14.2%	5.8%	2.5%	4.35	4.65	—
2024	25	MIX MLE	2 levels	28	13	89	411	79	38	20	46%	3.2	16.0%	9.6%	6.4%	4.5%	7.41	5.44	—
2024	25	MIX MLE	2 levels	28	13	89	411	79	38	20	46%	3.2	16.0%	9.6%	6.4%	4.5%	7.41	5.44	—
2024	25	MIX RAW	2 levels	28	13	89	411	79	38	20	46%	3.2	19.2%	9.2%	10.0%	4.9%	7.41	5.54	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	ARI	1	1	1	4	1	0	0	100%	1.0	19.4%	9.4%	10.0%	3.1%	4.75	4.75	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	ARI	9	9	52	221	43	21	7	100%	5.8	19.6%	9.6%	9.9%	3.3%	4.78	4.83	+0.3
2029	30	MLB MLE	ARI	8	8	46	195	38	19	7	100%	5.8	19.5%	9.9%	9.6%	3.4%	4.88	4.97	+0.2
2028	29	MLB CTX	ARI	3	3	16	68	13	7	2	100%	5.3	19.6%	9.6%	9.9%	3.3%	4.78	4.83	+0.1
2029	30	MLB CTX	ARI	4	4	24	101	20	10	3	100%	6.0	19.5%	9.9%	9.6%	3.4%	4.88	4.97	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	7	40	170	33	17	6	100%	5.7	19.6%	9.8%	9.8%	3.4%	4.84	4.54	+0.4
/ 200 IP	—	RAW		33	33	200	844	164	85	30	100%	6.0	19.6%	9.8%	9.8%	3.4%	4.84	4.54	+2.0
Career	—	MLE		83	65	341	1508	258	187	46	78%	4.1	17.1%	12.4%	4.7%	3.1%	5.17	4.91	+0.6
/ 200 IP	—	MLE		49	38	200	884	151	109	27	78%	4.1	17.1%	12.4%	4.7%	3.1%	5.17	4.91	+1.2

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.

2024 AAAmarillo Sod Poodles · 84 IPFIP 5.08 → 5.44 (+0.37)K% 19.8% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.79%	—	×0.810	16.03%
BB% (unintentional) /BF	8.74%	—	×1.100	9.61%
HR / BF /BF	4.63%	÷1.229	×1.200	4.52%

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 146).

Result: FIP 5.08 → 5.44, 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 AAAReno Aces · 4 IPFIP 9.63 → 9.39 (−0.23)K% 9.1% → 7.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	9.09%	—	×0.860	7.82%
BB% (unintentional) /BF	18.18%	—	×0.900	16.36%
HR / BF /BF	9.09%	÷1.124	×1.100	8.89%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 125).

Result: FIP 9.63 → 9.39, 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 AAAmarillo Sod Poodles · 118 IPFIP 4.58 → 4.72 (+0.13)K% 20.0% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.96%	—	×0.810	16.17%
BB% (unintentional) /BF	14.20%	—	×1.100	15.62%
HR / BF /BF	2.50%	÷1.637	×1.200	1.83%

Result: FIP 4.58 → 4.72, 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).

2022 A+Hillsboro Hops · 103 IPFIP 3.34 → 4.57 (+1.23)K% 26.0% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.96%	—	×0.770	19.99%
BB% (unintentional) /BF	10.38%	—	×1.150	11.94%
HR / BF /BF	2.03%	÷0.848	×1.250	3.00%

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 70).

Result: FIP 3.34 → 4.57, 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).

2022 AAAmarillo Sod Poodles · 20 IPFIP 5.54 → 6.10 (+0.56)K% 13.3% → 10.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.33%	—	×0.810	10.80%
BB% (unintentional) /BF	8.89%	—	×1.100	9.78%
HR / BF /BF	4.44%	÷1.094	×1.200	4.88%

Result: FIP 5.54 → 6.10, 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).

2021 AVisalia Rawhide · 7 IPFIP 2.13 → 2.81 (+0.68)K% 23.1% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.08%	—	×0.740	17.08%
BB% (unintentional) /BF	7.69%	—	×1.180	9.08%
HR / BF /BF	0.00%	÷0.923	×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 85).

Result: FIP 2.13 → 2.81, 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
Jamison Hill (OGILVIE)	—	—	4.75	19.4%	9.4%	3.1%	—	4.90	19.6%	9.8%	99	+0.15	—	—	—
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	85
Omar Bencomo R 2017 · 4.50 FIP	28	SP-	4.50	18.9%	6.3%	4.0%	.333	4.48	14.9%	10.1%	186	-0.02	3.70	381	79
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	78
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	78
Ariel Peña R 2017 · 3.99 FIP	28	SP	3.99	22.5%	12.0%	2.3%	.304	6.07	19.9%	-5.7%	21	+2.08	3.74	223	75
Vanny Valenzuela R 2016 · 4.54 FIP	28	SP	4.54	16.3%	11.3%	2.5%	.380	6.25	10.9%	1.2%	25	+1.71	3.26	118	75
Austin Bergner R 2024 · 4.84 FIP	27	SP	4.84	22.2%	12.5%	3.7%	.325	4.42	18.7%	7.3%	107	-0.42	4.06	464	75
Shawn Haviland R 2015 · 3.95 FIP	29	SP-	3.95	14.6%	6.0%	2.4%	.303	4.67	16.1%	8.8%	169	+0.72	3.69	283	74
Luke Irvine R 2016 · 4.31 FIP	27	SP-	4.31	13.4%	9.8%	2.0%	.302	—	—	—	—	—	4.31	104	73
Ramon Ramirez R 2008 · 4.31 FIP	25	SP-	4.31	20.0%	10.5%	2.9%	.200	—	—	—	—	—	3.65	182	73
Brady Rodgers R 2019 · 5.44 FIP	28	SP-	5.44	14.7%	9.0%	4.4%	.270	—	—	—	—	—	1.98	354	73
Patrick Johnson R 2016 · 3.82 FIP	27	SP-	3.82	17.3%	6.9%	2.4%	.286	4.14	15.7%	6.4%	120	+0.32	3.82	248	73
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	73
Raynel Espinal R 2019 · 3.90 FIP	27	SP-	3.90	22.4%	7.1%	3.2%	.313	4.01	22.3%	12.4%	224	+0.11	2.48	507	72
Markus Solbach R 2019 · 3.58 FIP	27	SP	3.58	16.9%	6.1%	2.1%	.311	4.62	17.1%	9.1%	111	+1.04	3.34	391	72
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	72
Ryan Watson R 2024 · 4.15 FIP	25	SP-	4.15	18.6%	4.9%	3.7%	.342	5.48	13.1%	5.4%	98	+1.33	4.15	165	71
Jake Walkinshaw R 2024 · 4.03 FIP	28	SP	4.03	16.1%	8.5%	2.2%	.244	3.83	15.7%	5.7%	92	-0.20	2.84	310	71
Austin Bibens-Dirkx R 2015 · 3.97 FIP	30	SP	3.97	17.4%	7.1%	2.6%	.315	4.94	15.9%	8.7%	305	+0.97	3.97	567	71
Todd Redmond R 2013 · 4.14 FIP	28	SP-	4.14	23.5%	6.5%	4.0%	.266	3.57	17.0%	10.1%	170	-0.57	3.21	247	71

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	0.8	52	19.5%	9.6%	1.26	4.80
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*