Jack Perkins

P Athletics

Age 27 RHP 6'1" / 220 lbs MLB peak 0.1 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	18	16	78	2.88	2.14	32.1%	10.9%	—	K 25.7% · BB 12.2% · FIP 2.92
2025	25	MIX2 levels	21	13	83	3.48	3.04	31.1%	11.2%	2.4	K 28.2% · BB 10.7% · FIP 3.18
2026	26	MIX2 levels	40	17	129	6.02	4.51	26.0%	9.8%	0.1	K 25.9% · BB 9.1% · FIP 4.46
2027PROJ	27	MLBOAK	13	13	82	4.47	4.38	27.2%	9.7%	1.0
2028PROJ95% MLB	28	MLBOAK	10	10	65	4.47	4.47	27.1%	9.8%	0.7
2029PROJ95% MLB	29	MLBOAK	8	8	53	4.56	4.63	26.5%	10.0%	0.5

Last 3 seasons WAR 2.5 · Next 3 projected WAR 2.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%70

FB Velo67

xwOBA vs51

Form4.40 ERA (proj 4.47) · K 27.7% (proj 27.2%) · BB 10.0% (proj 9.7%) · last 60d · 31 IP through Oct 27

CompsJoaquín Benoit (age 27) · J.P. France (age 27) · Rafael Montero (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 112104vR 96

ERA4.47

FIP4.38

K%27.2%

BB%9.7%

K-BB%17.6%

Proj IP82

Value2027 · WAR

Runs saved vs league avg · 82 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p6795.7

Whiff%

p6327.3%

p7025.9%

xwOBA vs

p510.311

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	6	2	10	38	14	2	0	33%	1.7	36.8%	5.3%	31.6%	0.0%	2.70	0.66	—
2022	22	MIX RAW	2 levels	6	2	10	38	14	2	0	33%	1.7	36.8%	5.3%	31.6%	0.0%	2.70	0.90	—
2023	23	MIX MLE	2 levels	22	20	108	463	93	47	5	91%	4.9	15.8%	11.4%	4.5%	1.2%	4.10	3.87	—
2023	23	MIX RAW	2 levels	22	20	108	463	93	47	5	91%	4.9	20.1%	10.2%	9.9%	1.1%	4.10	3.29	—
2024	24	MIX MLE	2 levels	18	16	78	321	103	35	2	89%	4.3	25.7%	12.2%	13.5%	0.8%	2.88	2.92	—
2024	24	MIX MLE	2 levels	18	16	78	321	103	35	2	89%	4.3	25.7%	12.2%	13.5%	0.8%	2.88	2.92	—
2024	24	MIX RAW	2 levels	18	16	78	321	103	35	2	89%	4.3	32.1%	10.9%	21.2%	0.6%	2.88	2.14	—
2025	25	MIX MLE	2 levels	21	13	83	338	105	38	7	62%	3.9	28.2%	10.7%	17.6%	2.0%	3.48	3.18	+2.2
2025	25	MIX MLE	2 levels	21	13	83	338	105	38	7	62%	3.9	28.2%	10.7%	17.6%	2.0%	3.48	3.18	+2.2
2025	25	MIX RAW	2 levels	21	13	83	338	105	38	7	62%	3.9	31.1%	11.2%	19.8%	2.1%	3.48	3.04	+2.4
2026	26	MIX MLE	2 levels	40	17	129	572	149	56	24	42%	3.2	25.9%	9.1%	16.8%	4.4%	6.02	4.46	+0.1
2026	26	MIX MLE	2 levels	40	17	129	572	149	56	24	42%	3.2	25.9%	9.1%	16.8%	4.4%	6.02	4.46	+0.1
2026	26	MIX RAW	2 levels	40	17	129	572	149	56	24	42%	3.2	26.0%	9.8%	16.3%	4.2%	6.02	4.51	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			49	21	160	702	177	67	27	43%	3.3	25.2%	9.5%	15.7%	3.8%	5.64	4.34	+0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	OAK	13	13	82	346	94	33	12	100%	6.3	27.2%	9.7%	17.6%	3.6%	4.47	4.38	+1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	OAK	11	11	68	288	78	28	11	100%	6.2	27.1%	9.8%	17.3%	3.7%	4.47	4.47	+0.7
2029	29	MLB MLE	OAK	9	9	56	238	63	24	9	100%	6.3	26.5%	10.0%	16.5%	3.9%	4.56	4.63	+0.5
2030	30	MLB MLE	OAK	7	7	46	194	50	20	8	100%	6.6	25.8%	10.3%	15.5%	4.1%	4.72	4.83	+0.3
2028	28	MLB CTX	OAK	10	10	65	274	74	27	10	100%	6.5	27.1%	9.8%	17.3%	3.7%	4.47	4.47	+0.7
2029	29	MLB CTX	OAK	8	8	53	224	59	22	9	100%	6.6	26.5%	10.0%	16.5%	3.9%	4.56	4.63	+0.5
2030	30	MLB CTX	OAK	7	7	44	186	48	19	8	100%	6.3	25.8%	10.3%	15.5%	4.1%	4.72	4.83	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		75	47	322	1385	359	135	53	63%	4.3	25.9%	9.8%	16.1%	3.8%	5.10	4.27	+4.3
/ 200 IP	—	RAW		47	29	200	862	223	84	33	63%	4.3	25.9%	9.8%	16.1%	3.8%	5.10	4.27	+2.7
Career	—	MLE		107	68	407	1732	413	182	40	64%	3.8	23.9%	10.5%	13.4%	2.3%	4.31	3.68	+3.5
/ 200 IP	—	MLE		53	33	200	851	203	89	20	64%	3.8	23.9%	10.5%	13.4%	2.3%	4.31	3.68	+2.1

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 AAALas Vegas Aviators · 8 IPFIP 5.28 → 5.51 (+0.23)K% 29.0% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.03%	—	×0.860	24.97%
BB% (unintentional) /BF	22.58%	—	×0.900	20.32%
HR / BF /BF	3.23%	÷1.000	×1.100	3.55%

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 100).

Result: FIP 5.28 → 5.51, 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).

2025 AAALas Vegas Aviators · 44 IPFIP 2.22 → 2.46 (+0.25)K% 38.4% → 33.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.42%	—	×0.860	33.04%
BB% (unintentional) /BF	11.30%	—	×0.900	10.17%
HR / BF /BF	1.69%	÷1.183	×1.100	1.58%

Result: FIP 2.22 → 2.46, 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 AAMidland RockHounds · 76 IPFIP 2.18 → 2.92 (+0.75)K% 31.7% → 25.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.75%	—	×0.810	25.71%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	0.63%	÷0.940	×1.200	0.81%

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 88).

Result: FIP 2.18 → 2.92, 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 AAMidland RockHounds · 54 IPFIP 3.52 → 4.06 (+0.54)K% 17.5% → 14.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.46%	—	×0.810	14.14%
BB% (unintentional) /BF	11.51%	—	×1.100	12.66%
HR / BF /BF	0.79%	÷0.957	×1.200	1.00%

Result: FIP 3.52 → 4.06, 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+Lansing Lugnuts · 54 IPFIP 3.00 → 3.64 (+0.64)K% 23.2% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.22%	—	×0.770	17.88%
BB% (unintentional) /BF	8.53%	—	×1.150	9.81%
HR / BF /BF	1.42%	÷1.209	×1.250	1.47%

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 142).

Result: FIP 3.00 → 3.64, 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 AStockton Ports · 9 IPFIP 1.05 → 1.92 (+0.87)K% 33.3% → 24.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.740	24.67%
BB% (unintentional) /BF	6.06%	—	×1.180	7.15%
HR / BF /BF	0.00%	÷1.003	×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 101).

Result: FIP 1.05 → 1.92, 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
Jack Perkins (OGILVIE)	—	—	—	—	—	3.6%	—	4.62	26.6%	16.5%	170	+0.24	—	—	—
Joaquín Benoit R 2004 · 4.49 FIP	27	SP-	4.49	20.8%	6.8%	4.2%	.302	3.31	23.7%	14.5%	249	-1.18	1.99	1,064	75
J.P. France R 2022 · 4.44 FIP	27	SW	4.44	24.9%	10.9%	3.8%	.301	4.47	18.6%	9.0%	205	+0.03	4.04	577	71
Rafael Montero R 2017 · 3.88 FIP	26	SP-	3.88	22.0%	11.2%	2.2%	.339	3.41	28.7%	22.8%	47	-0.47	2.43	714	69
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	68
Louis Varland R 2024 · 4.42 FIP	26	SP-	4.42	21.7%	7.2%	4.1%	.329	2.31	28.6%	21.4%	151	-2.11	1.70	689	67
Erik Hiljus R 2001 · 3.35 FIP	28	SP-	3.35	23.1%	6.9%	2.4%	.321	6.07	14.1%	4.4%	46	+2.72	3.35	112	67
Felipe Paulino R 2011 · 3.63 FIP	27	SP-	3.63	22.2%	8.8%	2.4%	.333	4.36	21.3%	11.3%	56	+0.73	3.24	554	65
Mike Wright Jr. R 2017 · 3.82 FIP	27	SP-	3.82	19.5%	7.4%	2.6%	.298	3.96	19.5%	11.4%	172	+0.14	3.76	725	64
Keegan Thompson R 2022 · 4.22 FIP	27	SP-	4.22	22.3%	8.9%	3.4%	.274	4.04	25.7%	14.4%	180	-0.18	3.31	578	64
Yariel Rodríguez R 2024 · 3.76 FIP	27	SP	3.76	24.9%	11.4%	2.4%	.275	3.72	24.1%	12.7%	89	-0.04	2.32	196	64
TJ Shook R 2024 · 4.15 FIP	26	SW	4.15	23.7%	8.7%	3.5%	.317	3.92	20.0%	11.1%	107	-0.23	3.35	452	63
Rorik Maltrud R 2024 · 3.91 FIP	24	SP-	3.91	20.4%	9.6%	2.4%	.300	4.40	18.6%	9.4%	193	+0.49	3.91	298	63
Kutter Crawford R 2023 · 3.62 FIP	27	SP-	3.62	25.6%	6.8%	3.3%	.265	4.53	23.1%	16.4%	184	+0.91	3.30	741	63
Vince Velasquez R 2019 · 4.56 FIP	27	SP-	4.56	25.2%	7.9%	4.7%	.295	4.64	24.2%	14.3%	204	+0.08	3.26	964	62
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	62
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	62
David Phelps R 2014 · 4.00 FIP	27	SP-	4.00	18.5%	8.9%	2.5%	.293	3.31	23.8%	15.6%	254	-0.69	2.50	672	61
Dylan Cumming R 2024 · 3.75 FIP	25	SP-	3.75	21.6%	9.8%	2.2%	.337	4.63	16.6%	8.0%	198	+0.88	3.75	406	61
Drew Anderson R 2021 · 3.90 FIP	27	SP-	3.90	22.3%	9.6%	2.7%	.275	2.89	21.2%	8.7%	14	-1.01	2.89	558	61
Connor Gillispie R 2024 · 5.07 FIP	26	SP-	5.07	21.5%	9.1%	4.8%	.244	5.72	15.8%	5.8%	91	+0.65	4.13	497	61

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	2.1	69	26.2%	9.9%	1.47	4.96
Rich DeLucia ('90-'99, 1 WAR*)	3.1	78	23.2%*	10.5%*	1.55*	4.65*
Robert Stephenson ('25)	1.9	62	25.9%	10.1%	1.54	4.59
Phil Hennigan ('69-'73, -0 WAR*)	1.4	70	20.9%*	10.4%*	1.50*	4.95*
John Boozer ('62-'69, -2 WAR*)	2.0	66	21.1%*	9.0%*	1.46*	5.15*
Jorge López ('25)	2.8	70	19.8%	8.8%	1.36	5.31
A.J. Cole ('21)	1.0	41	23.0%	9.1%	1.71	4.51