Owen Hackman

P Columbus Clingstones

Age 25 RHP 6'1" / 185 lbs AA peak 0.2 · 2028

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	AATL	5	3	21	1.31	1.79	30.8%	9.0%	—	K 22.8% · BB 10.6% · FIP 2.52
2025	23	AATL	24	17	95	3.68	3.05	24.4%	4.8%	—	K 18.1% · BB 5.7% · FIP 3.71
2026	24	MIX2 levels	37	2	61	4.30	3.56	28.1%	6.8%	—	K 22.5% · BB 7.6% · FIP 4.53
2027PROJ	25	MLBATL	1	0	1	4.45	4.45	20.2%	6.8%	0.0
2028PROJ44% MLB	26	MLBATL	30	0	31	4.41	4.40	20.6%	6.8%	0.1
2029PROJ63% MLB	27	MLBATL	38	0	40	4.42	4.43	20.7%	7.0%	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control55Command50

Career WAR0.0 WAR median (P10 -0.1 / P90 0.7, comp-based) · star 0% · didn't stick 94%

CompsDerek Gordon (age 25) · Coleman Huntley III (age 28) · Shohei Tomioka (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 101

ERA4.45

FIP4.45

K%20.2%

BB%6.8%

K-BB%13.4%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL5555

CMD5050

K†5055

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)
2024	22	A MLE	Augusta GreenJackets	5	3	21	78	24	7	0	60%	4.1	22.8%	10.6%	12.2%	0.0%	1.31	2.52	—
2024	22	A MLE	Augusta GreenJackets	5	3	21	78	24	7	0	60%	4.1	22.8%	10.6%	12.2%	0.0%	1.31	2.52	—
2024	22	A RAW	Augusta GreenJackets	5	3	21	78	24	7	0	60%	4.1	30.8%	9.0%	21.8%	0.0%	1.31	1.79	—
2025	23	A MLE	Augusta GreenJackets	24	17	95	393	96	19	10	71%	4.0	18.1%	5.7%	12.4%	2.6%	3.68	3.71	—
2025	23	A MLE	Augusta GreenJackets	24	17	95	393	96	19	10	71%	4.0	18.1%	5.7%	12.4%	2.6%	3.68	3.71	—
2025	23	A RAW	Augusta GreenJackets	24	17	95	393	96	19	10	71%	4.0	24.4%	4.8%	19.6%	2.5%	3.68	3.05	—
2026	24	MIX MLE	2 levels	37	2	61	249	70	17	9	5%	1.6	22.5%	7.6%	15.0%	4.3%	4.30	4.53	—
2026	24	MIX MLE	2 levels	37	2	61	249	70	17	9	5%	1.6	22.5%	7.6%	15.0%	4.3%	4.30	4.53	—
2026	24	MIX RAW	2 levels	37	2	61	249	70	17	9	5%	1.6	28.1%	6.8%	21.3%	3.6%	4.30	3.56	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	ATL	1	0	1	4	1	0	0	0%	1.0	20.2%	6.8%	13.4%	3.3%	4.45	4.45	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	ATL	67	0	71	298	61	20	10	0%	1.1	20.6%	6.8%	13.7%	3.3%	4.41	4.40	+0.1
2029	27	MLB MLE	ATL	60	0	64	268	55	19	9	0%	1.1	20.7%	7.0%	13.7%	3.3%	4.42	4.43	+0.1
2030	28	MLB MLE	ATL	56	0	59	249	51	18	8	0%	1.1	20.6%	7.2%	13.4%	3.4%	4.47	4.51	+0.0
2031	29	MLB MLE	ATL	56	0	58	247	55	16	9	0%	1.0	22.4%	6.6%	15.8%	3.5%	4.40	4.36	+0.1
2032	30	MLB MLE	ATL	50	0	53	223	49	15	8	0%	1.1	22.1%	6.9%	15.1%	3.7%	4.48	4.54	+0.0
2028	26	MLB CTX	ATL	30	0	31	131	27	9	4	0%	1.0	20.6%	6.8%	13.7%	3.3%	4.41	4.40	+0.1
2029	27	MLB CTX	ATL	38	0	40	169	35	12	6	0%	1.1	20.7%	7.0%	13.7%	3.3%	4.42	4.43	+0.1
2030	28	MLB CTX	ATL	42	0	44	186	38	13	6	0%	1.0	20.6%	7.2%	13.4%	3.4%	4.47	4.51	+0.0
2031	29	MLB CTX	ATL	46	0	48	203	45	13	7	0%	1.0	22.4%	6.6%	15.8%	3.5%	4.40	4.36	+0.1
2032	30	MLB CTX	ATL	43	0	45	190	42	13	7	0%	1.0	22.1%	6.9%	15.1%	3.7%	4.48	4.54	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		199	0	209	881	188	61	30	0%	1.0	21.3%	6.9%	14.4%	3.5%	4.44	4.07	+1.2
/ 200 IP	—	RAW		190	0	200	844	180	58	29	0%	1.1	21.3%	6.9%	14.4%	3.5%	4.44	4.07	+1.1
Career	—	MLE		66	22	177	720	145	49	21	33%	2.7	20.1%	6.9%	13.3%	2.9%	3.62	3.87	+0.4
/ 200 IP	—	MLE		75	25	200	815	164	56	24	33%	2.7	20.1%	6.9%	13.3%	2.9%	3.62	3.87	+0.2

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.

2026 AAColumbus Clingstones · 48 IPFIP 4.20 → 5.24 (+1.04)K% 27.6% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.64%	—	×0.810	22.39%
BB% (unintentional) /BF	7.54%	—	×1.100	8.29%
HR / BF /BF	4.52%	÷1.000	×1.200	5.43%

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 4.20 → 5.24, 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 A+Rome Emperors · 13 IPFIP 1.07 → 1.73 (+0.66)K% 30.0% → 23.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.770	23.10%
BB% (unintentional) /BF	4.00%	—	×1.150	4.60%
HR / BF /BF	0.00%	÷1.000	×1.250	0.00%

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 100).

Result: FIP 1.07 → 1.73, 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 AAugusta GreenJackets · 95 IPFIP 3.05 → 3.71 (+0.67)K% 24.4% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.43%	—	×0.740	18.08%
BB% (unintentional) /BF	4.83%	—	×1.180	5.70%
HR / BF /BF	2.54%	÷1.281	×1.300	2.58%

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 156).

Result: FIP 3.05 → 3.71, 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 AAugusta GreenJackets · 21 IPFIP 1.64 → 2.52 (+0.88)K% 30.8% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.740	22.77%
BB% (unintentional) /BF	8.97%	—	×1.180	10.59%
HR / BF /BF	0.00%	÷1.010	×1.300	0.00%

Result: FIP 1.64 → 2.52, 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
Owen Hackman (OGILVIE)	—	—	4.45	20.2%	6.8%	3.3%	—	4.44	20.6%	13.6%	193	-0.01	—	—	—
Derek Gordon R 2016 · 4.62 FIP	25	SW	4.62	19.9%	9.3%	3.7%	.315	—	—	—	—	—	4.62	146	86
Coleman Huntley III R 2021 · 3.85 FIP	28	SW	3.85	20.2%	7.4%	2.8%	.348	3.56	23.4%	13.2%	86	-0.29	2.38	160	83
Shohei Tomioka R 2021 · 4.00 FIP	25	SW	4.00	18.9%	9.0%	2.5%	.311	4.39	17.2%	4.0%	141	+0.39	3.65	301	83
Casey Cobb R 2021 · 3.48 FIP	25	SU	3.48	21.8%	6.2%	2.6%	.261	5.59	17.2%	8.3%	118	+2.11	3.48	191	82
Adam Warren R 2013 · 4.09 FIP	25	SU	4.09	19.3%	8.5%	2.8%	.306	3.43	20.5%	13.1%	275	-0.66	2.65	548	82
Connor Schultz R 2024 · 3.88 FIP	25	SU	3.88	19.7%	5.3%	3.2%	.283	4.02	18.8%	10.4%	156	+0.14	3.53	203	82
Joshua Loeschorn R 2023 · 3.86 FIP	23	SU	3.86	24.5%	7.7%	3.4%	.272	4.43	17.1%	8.4%	83	+0.57	3.08	151	81
Felipe Gonzalez R 2017 · 4.60 FIP	25	SW	4.60	18.3%	9.2%	3.4%	.337	3.27	22.7%	12.7%	50	-1.33	3.27	339	81
David Phelps R 2012 · 3.98 FIP	25	SW	3.98	23.2%	8.7%	3.2%	.250	3.86	18.3%	10.1%	312	-0.12	2.50	672	81
Nick Merkel R 2023 · 3.99 FIP	25	SU	3.99	22.8%	7.1%	3.5%	.284	3.44	20.7%	10.3%	129	-0.55	3.15	205	81
Emmanuel Chapman R 2024 · 4.08 FIP	25	SW	4.08	19.7%	10.6%	2.4%	.256	4.52	17.8%	1.3%	117	+0.44	3.81	198	81
Ryan Tapani R 2019 · 3.86 FIP	25	SW	3.86	19.0%	7.3%	2.6%	.331	5.56	20.8%	10.6%	47	+1.70	3.86	141	81
Andrew Bellatti R 2015 · 4.34 FIP	23	SU	4.34	19.3%	8.8%	3.2%	.288	—	—	—	—	—	2.67	278	80
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	80
Jarret Whorff R 2024 · 4.04 FIP	25	SU	4.04	18.9%	10.2%	2.3%	.271	4.52	19.6%	12.0%	123	+0.48	3.88	257	80
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	80
Garrett McMillan R 2024 · 3.30 FIP	23	SU	3.30	21.2%	8.2%	1.7%	.324	3.53	18.9%	14.6%	48	+0.23	3.30	118	80
Roberto Gómez R 2017 · 3.95 FIP	27	SW	3.95	18.4%	8.9%	2.3%	.315	5.25	13.8%	4.9%	18	+1.30	3.95	115	80
J.R. Graham R 2015 · 4.39 FIP	25	SU	4.39	18.7%	7.4%	3.5%	.317	3.63	20.4%	10.1%	61	-0.76	3.31	125	80
Ariel Peña R 2015 · 3.74 FIP	26	SW	3.74	21.3%	9.5%	2.3%	.300	4.92	19.9%	5.6%	92	+1.18	3.74	223	79

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	1.9	62	21.0%	6.9%	1.32	4.44
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Tim Crews ('87-'92, 3 WAR*)	2.1	71	20.8%*	6.2%*	1.09*	4.11*
Bob Patterson ('85-'98, 4 WAR*)	3.1	51	23.0%*	6.7%*	1.32*	4.33*
Cris Carpenter ('88-'96, 2 WAR*)	2.1	69	18.3%*	7.4%*	1.15*	4.29*