Jaden Hill

P Colorado Rockies

Age 27 RHP 6'4" / 260 lbs MLB peak 0.3 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX3 levels	50	0	56	4.66	2.94	29.6%	8.3%	1.1	K 26.7% · BB 7.1% · FIP 3.02
2025	25	MIX3 levels	45	2	50	3.42	2.36	29.7%	7.7%	1.3	K 28.1% · BB 7.5% · FIP 2.48
2026	26	MIX2 levels	48	0	42	5.18	3.72	21.7%	12.2%	0.4	K 22.1% · BB 11.6% · FIP 3.51
2027PROJ	27	MLBCOL	32	0	34	4.09	3.92	25.4%	10.7%	0.3
2028PROJ88% MLB	28	MLBCOL	30	0	31	4.08	4.05	25.1%	10.7%	0.2
2029PROJ90% MLB	29	MLBCOL	26	0	27	4.17	4.23	24.3%	10.8%	0.1

Last 3 seasons WAR 2.8 · Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo84

xwOBA vs56

K%50

CompsJason Adam (age 27) · Tyler Kinley (age 27) · Fernando Rodriguez Jr. (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10597vR 89

ERA4.09

FIP3.92

K%25.4%

BB%10.7%

K-BB%14.7%

Proj IP40

Value2027 · WAR

Runs saved vs league avg · 40 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL4545

CMD4545

K†6060

Statcast Percentiles

FB Velo

p8496.9

Whiff%

p7629.3%

p5022.1%

xwOBA vs

p560.306

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)
2022	22	MIX MLE	2 levels	10	10	18	75	25	6	0	100%	1.8	33.3%	8.0%	25.3%	0.0%	3.06	1.30	—
2022	22	MIX RAW	2 levels	10	10	18	75	25	6	0	100%	1.8	33.3%	8.0%	25.3%	0.0%	3.06	1.29	—
2023	23	A+ MLE	Spokane Indians	16	16	44	217	57	25	11	100%	2.7	20.2%	13.2%	7.0%	6.1%	9.48	6.39	—
2023	23	A+ RAW	Spokane Indians	16	16	44	217	57	25	11	100%	2.7	26.3%	11.5%	14.7%	5.1%	9.48	5.48	—
2024	24	MIX MLE	3 levels	50	0	56	253	75	21	6	0%	1.1	26.7%	7.1%	19.6%	2.3%	4.66	3.02	+1.0
2024	24	MIX MLE	3 levels	50	0	56	253	75	21	6	0%	1.1	26.7%	7.1%	19.6%	2.3%	4.66	3.02	+1.0
2024	24	MIX RAW	3 levels	50	0	56	253	75	21	6	0%	1.1	29.6%	8.3%	21.3%	2.4%	4.66	2.94	+1.1
2025	25	MIX MLE	3 levels	45	2	50	209	62	16	3	4%	1.1	28.1%	7.5%	20.6%	1.5%	3.42	2.48	+1.2
2025	25	MIX MLE	3 levels	45	2	50	209	62	16	3	4%	1.1	28.1%	7.5%	20.6%	1.5%	3.42	2.48	+1.2
2025	25	MIX RAW	3 levels	45	2	50	209	62	16	3	4%	1.1	29.7%	7.7%	22.0%	1.4%	3.42	2.36	+1.3
2026	26	MIX MLE	2 levels	48	0	42	189	41	23	3	0%	0.9	22.1%	11.6%	10.5%	1.5%	5.18	3.51	+0.5
2026	26	MIX MLE	2 levels	48	0	42	189	41	23	3	0%	0.9	22.1%	11.6%	10.5%	1.5%	5.18	3.51	+0.5
2026	26	MIX RAW	2 levels	48	0	42	189	41	23	3	0%	0.9	21.7%	12.2%	9.5%	1.6%	5.18	3.72	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			83	0	80	355	77	37	7	0%	1.0	21.7%	10.4%	11.3%	2.0%	4.52	3.70	+0.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	COL	32	0	34	144	36	15	3	0%	1.1	25.4%	10.7%	14.7%	2.2%	4.09	3.92	+0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	COL	34	0	36	150	38	16	4	0%	1.0	25.1%	10.7%	14.4%	2.4%	4.08	4.05	+0.2
2029	29	MLB MLE	COL	28	0	29	124	30	13	3	0%	1.1	24.3%	10.8%	13.5%	2.6%	4.17	4.23	+0.1
2028	28	MLB CTX	COL	30	0	31	131	33	14	3	0%	1.0	25.1%	10.7%	14.4%	2.4%	4.08	4.05	+0.2
2029	29	MLB CTX	COL	26	0	27	114	28	12	3	0%	1.0	24.3%	10.8%	13.5%	2.6%	4.17	4.23	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		138	0	138	600	138	63	13	0%	1.0	22.9%	10.6%	12.4%	2.2%	4.35	3.70	+1.4
/ 200 IP	—	RAW		201	0	200	872	201	92	19	0%	1.0	22.9%	10.6%	12.4%	2.2%	4.35	3.70	+2.0
Career	—	MLE		169	28	209	943	237	90	25	17%	1.2	25.1%	9.6%	15.5%	2.6%	5.34	3.64	+1.1
/ 200 IP	—	MLE		162	27	200	902	227	86	24	17%	1.2	25.1%	9.6%	15.5%	2.6%	5.34	3.64	+1.6

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.

2025 AAAAlbuquerque Isotopes · 18 IPFIP 0.96 → 1.46 (+0.50)K% 41.8% → 35.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.79%	—	×0.860	35.94%
BB% (unintentional) /BF	4.48%	—	×0.900	4.03%
HR / BF /BF	1.49%	÷1.017	×1.100	1.61%

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 103).

Result: FIP 0.96 → 1.46, 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 AAHartford Yard Goats · 38 IPFIP 2.11 → 3.02 (+0.91)K% 32.9% → 26.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.94%	—	×0.810	26.68%
BB% (unintentional) /BF	6.47%	—	×1.100	7.12%
HR / BF /BF	1.76%	÷0.916	×1.200	2.31%

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 83).

Result: FIP 2.11 → 3.02, 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 AAAAlbuquerque Isotopes · 7 IPFIP 3.66 → 3.87 (+0.21)K% 34.2% → 29.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.21%	—	×0.860	29.42%
BB% (unintentional) /BF	15.79%	—	×0.900	14.21%
HR / BF /BF	2.63%	÷1.096	×1.100	2.64%

Result: FIP 3.66 → 3.87, 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 A+Spokane Indians · 44 IPFIP 5.12 → 6.39 (+1.27)K% 26.3% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.27%	—	×0.770	20.23%
BB% (unintentional) /BF	11.52%	—	×1.150	13.25%
HR / BF /BF	5.07%	÷1.047	×1.250	6.05%

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 109).

Result: FIP 5.12 → 6.39, 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).

2022 ROKACL Rockies · 10 IPFIP 2.16 → 3.10 (+0.94)K% 24.4% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.44%	—	×0.680	16.62%
BB% (unintentional) /BF	8.89%	—	×1.250	11.11%
HR / BF /BF	0.00%	÷0.918	×1.400	0.00%

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 84).

Result: FIP 2.16 → 3.10, 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).

2022 AFresno Grizzlies · 7 IPFIP 0.00 → 1.18 (+1.18)K% 46.7% → 34.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	46.67%	—	×0.740	34.53%
BB% (unintentional) /BF	6.67%	—	×1.180	7.87%
HR / BF /BF	0.00%	÷0.947	×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 89).

Result: FIP 0.00 → 1.18, 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
Jaden Hill (OGILVIE)	—	—	3.92	25.4%	10.7%	2.2%	—	4.13	24.7%	14.0%	65	+0.21	—	—	—
Jason Adam R 2019 · 3.39 FIP	27	SU	3.39	24.2%	9.0%	2.2%	.237	2.64	33.1%	24.9%	88	-0.75	2.42	396	81
Tyler Kinley R 2018 · 3.36 FIP	27	SU	3.36	27.2%	11.8%	1.9%	.331	4.14	23.5%	11.8%	159	+0.78	1.58	602	79
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	79
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	79
Tom Wilhelmsen R 2011 · 3.28 FIP	27	SU	3.28	22.1%	9.6%	1.5%	.253	3.18	22.9%	13.4%	218	-0.10	2.72	398	79
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	78
Spencer Patton R 2015 · 3.47 FIP	27	SU	3.47	26.8%	9.6%	2.6%	.295	2.79	30.3%	18.1%	57	-0.68	2.79	239	78
Kyle Barraclough R 2017 · 3.42 FIP	27	SU	3.42	26.6%	12.2%	1.8%	.282	4.99	24.5%	12.2%	89	+1.57	1.95	523	78
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	78
Blake Smith R 2015 · 3.17 FIP	27	SU	3.17	23.3%	10.5%	1.3%	.290	3.59	22.4%	13.8%	71	+0.42	3.17	124	77
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	77
Jake Barrett R 2018 · 3.31 FIP	27	SU	3.31	26.1%	13.0%	1.4%	.266	1.48	29.8%	22.7%	15	-1.83	1.48	230	77
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.49	22.0%	0.2%	51	+0.40	4.09	130	77
Taylor Williams R 2018 · 3.52 FIP	27	SU	3.52	24.2%	8.9%	2.4%	.309	4.35	22.5%	12.7%	108	+0.83	2.51	309	77
Juan Minaya R 2018 · 3.40 FIP	27	SU	3.40	27.0%	11.4%	2.1%	.282	3.82	24.0%	13.2%	131	+0.42	3.20	446	76
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	76
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	76
Collin Baumgartner R 2024 · 2.99 FIP	25	SU	2.99	26.1%	11.5%	1.2%	.280	4.13	22.6%	8.4%	77	+1.14	2.99	134	76
Santiago Casilla R 2007 · 3.58 FIP	27	SU	3.58	23.7%	7.8%	2.7%	.257	3.60	19.8%	10.7%	154	+0.02	2.76	647	76
Seth Simmons R 2015 · 3.07 FIP	27	SU	3.07	23.8%	9.7%	1.4%	.277	4.87	16.6%	7.6%	175	+1.80	3.07	251	75

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	0.9	37	23.5%	10.8%	0.86	4.29
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Chaz Roe ('21)	1.1	43	26.4%	11.1%	0.79	3.89
Yorkis Perez ('02)	1.4	40	20.8%	11.8%	0.93	4.44
Ray Searage ('81-'90, 4 WAR*)	1.4	41	21.0%*	10.8%*	0.84*	3.70*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*
Bob Allen ('61-'67, -1 WAR*)	1.4	55	21.4%*	10.4%*	0.89*	4.79*