Jack Cushing

P Las Vegas Aviators

Age 30 RHP 6'3" / 195 lbs AAA peak 0.5 · 2027

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	26	MIX2 levels	31	21	124	5.36	4.09	24.4%	5.3%	—	K 19.9% · BB 5.6% · FIP 5.03
2024	27	MIX2 levels	37	5	76	3.77	3.20	22.6%	8.0%	—	K 18.9% · BB 7.8% · FIP 3.68
2025	28	AAAOAK	38	6	80	6.67	5.13	22.8%	7.4%	—	K 19.6% · BB 6.7% · FIP 4.95
2026	29	No MLB games played
2027PROJ	30	MLBOAK	7	0	7	4.62	4.62	19.2%	7.0%	-0.0
2028PROJ37% MLB	31	MLBOAK	22	0	23	4.71	4.79	19.2%	7.6%	-0.1
2029PROJ55% MLB	32	MLBOAK	28	0	29	4.86	4.98	19.1%	8.1%	-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

Stuff45Control55Command50

CompsElian Leyva (age 30) · Jorge Martinez (age 31) · Fabio Castillo (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.62

FIP4.62

K%19.2%

BB%7.0%

K-BB%12.2%

Proj IP68

Value2027 · WAR

Runs saved vs league avg · 68 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5555

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)
2019	22	ROK MLE	AZL Athletics Gold	2	1	5	26	4	2	1	50%	2.5	15.4%	7.7%	7.7%	3.8%	9.00	4.89	—
2019	22	ROK RAW	AZL Athletics Gold	2	1	5	26	4	2	1	50%	2.5	15.4%	7.7%	7.7%	3.8%	9.00	5.30	—
2021	24	MIX MLE	3 levels	21	19	112	466	111	27	9	90%	5.3	18.2%	6.7%	11.6%	2.3%	3.22	3.69	—
2021	24	MIX RAW	3 levels	21	19	112	466	111	27	9	90%	5.3	23.8%	5.8%	18.0%	1.9%	3.22	2.89	—
2022	25	MIX MLE	2 levels	25	25	131	589	115	39	19	100%	5.3	16.1%	7.2%	8.8%	4.0%	5.35	4.84	—
2022	25	MIX RAW	2 levels	25	25	131	589	115	39	19	100%	5.3	19.5%	6.6%	12.9%	3.2%	5.35	4.12	—
2023	26	MIX MLE	2 levels	31	21	124	533	130	28	23	68%	4.0	19.9%	5.6%	14.2%	5.3%	5.36	5.03	—
2023	26	MIX RAW	2 levels	31	21	124	533	130	28	23	68%	4.0	24.4%	5.3%	19.1%	4.3%	5.36	4.09	—
2024	27	MIX MLE	2 levels	37	5	76	327	74	26	6	14%	2.1	18.9%	7.8%	11.1%	2.2%	3.77	3.68	—
2024	27	MIX MLE	2 levels	37	5	76	327	74	26	6	14%	2.1	18.9%	7.8%	11.1%	2.2%	3.77	3.68	—
2024	27	MIX RAW	2 levels	37	5	76	327	74	26	6	14%	2.1	22.6%	8.0%	14.7%	1.8%	3.77	3.20	—
2025	28	AAA MLE	Las Vegas Aviators	38	6	80	364	83	27	19	16%	2.1	19.6%	6.7%	12.9%	4.9%	6.67	4.95	—
2025	28	AAA MLE	Las Vegas Aviators	38	6	80	364	83	27	19	16%	2.1	19.6%	6.7%	12.9%	4.9%	6.67	4.95	—
2025	28	AAA RAW	Las Vegas Aviators	38	6	80	364	83	27	19	16%	2.1	22.8%	7.4%	15.4%	5.2%	6.67	5.13	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	OAK	7	0	7	30	6	2	1	0%	1.0	19.2%	7.0%	12.2%	3.4%	4.62	4.62	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	OAK	58	0	61	259	50	20	9	0%	1.1	19.2%	7.6%	11.6%	3.6%	4.71	4.79	-0.2
2029	32	MLB MLE	OAK	51	0	53	225	43	18	9	0%	1.0	19.1%	8.1%	11.0%	3.8%	4.86	4.98	-0.3
2028	31	MLB CTX	OAK	22	0	23	97	19	7	3	0%	1.0	19.2%	7.6%	11.6%	3.6%	4.71	4.79	-0.1
2029	32	MLB CTX	OAK	28	0	29	122	23	10	5	0%	1.0	19.1%	8.1%	11.0%	3.8%	4.86	4.98	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		49	0	52	219	42	17	8	0%	1.1	19.1%	7.9%	11.3%	3.7%	4.79	4.52	+0.0
/ 200 IP	—	RAW		190	0	200	844	162	65	31	0%	1.1	19.1%	7.9%	11.3%	3.7%	4.79	4.52	+0.1
Career	—	MLE		154	77	528	2305	423	155	88	50%	3.4	18.3%	6.7%	11.6%	3.8%	4.91	4.50	+0.7
/ 200 IP	—	MLE		58	29	200	873	160	59	33	50%	3.4	18.3%	6.7%	11.6%	3.8%	4.91	4.50	+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.

2025 AAALas Vegas Aviators · 80 IPFIP 4.98 → 4.95 (−0.03)K% 22.8% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.80%	—	×0.860	19.61%
BB% (unintentional) /BF	7.42%	—	×0.900	6.68%
HR / BF /BF	5.22%	÷1.183	×1.100	4.85%

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 137).

Result: FIP 4.98 → 4.95, 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 · 44 IPFIP 2.98 → 3.64 (+0.66)K% 20.7% → 16.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.67%	—	×0.810	16.74%
BB% (unintentional) /BF	5.59%	—	×1.100	6.15%
HR / BF /BF	1.68%	÷0.940	×1.200	2.14%

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 2.98 → 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).

2024 AAALas Vegas Aviators · 32 IPFIP 3.47 → 3.74 (+0.27)K% 25.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.860	21.50%
BB% (unintentional) /BF	10.81%	—	×0.900	9.73%
HR / BF /BF	2.03%	÷1.001	×1.100	2.23%

Result: FIP 3.47 → 3.74, 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 · 114 IPFIP 3.70 → 4.69 (+0.99)K% 24.9% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.95%	—	×0.810	20.21%
BB% (unintentional) /BF	5.03%	—	×1.100	5.53%
HR / BF /BF	3.77%	÷0.957	×1.200	4.73%

Result: FIP 3.70 → 4.69, 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 AAALas Vegas Aviators · 10 IPFIP 7.25 → 7.90 (+0.66)K% 19.6% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.64%	—	×0.860	16.89%
BB% (unintentional) /BF	7.14%	—	×0.900	6.43%
HR / BF /BF	8.93%	÷0.996	×1.100	9.86%

Result: FIP 7.25 → 7.90, 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 AAMidland RockHounds · 110 IPFIP 3.19 → 4.07 (+0.88)K% 20.0% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.04%	—	×0.810	16.23%
BB% (unintentional) /BF	6.75%	—	×1.100	7.43%
HR / BF /BF	1.69%	÷0.793	×1.200	2.55%

Result: FIP 3.19 → 4.07, 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 AAALas Vegas Aviators · 21 IPFIP 7.65 → 7.99 (+0.34)K% 17.4% → 15.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.39%	—	×0.880	15.30%
BB% (unintentional) /BF	6.09%	—	×1.050	6.39%
HR / BF /BF	9.57%	÷1.075	×1.100	9.78%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 115).

Result: FIP 7.65 → 7.99, 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 A+Lansing Lugnuts · 46 IPFIP 2.48 → 3.36 (+0.88)K% 26.1% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.09%	—	×0.770	20.09%
BB% (unintentional) /BF	5.43%	—	×1.150	6.25%
HR / BF /BF	1.63%	÷0.959	×1.250	2.12%

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 92).

Result: FIP 2.48 → 3.36, 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).

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 Cushing (OGILVIE)	—	—	4.62	19.2%	7.0%	3.4%	—	4.88	19.1%	11.3%	115	+0.26	—	—	—
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	80
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	74
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	74
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	73
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.00	313	70
Hisashi Iwakuma R 2012 · 4.28 FIP	31	SP-	4.28	19.5%	7.7%	3.4%	.277	3.45	21.5%	17.8%	528	-0.83	3.19	884	70
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	70
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	69
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	69
Jared Fernandez R 2002 · 4.23 FIP	30	SP-	4.23	15.6%	10.0%	2.2%	.323	3.57	11.8%	5.6%	38	-0.66	3.57	101	68
Eder Llamas R 2016 · 4.12 FIP	30	SW	4.12	11.4%	6.8%	2.0%	.301	3.23	11.3%	4.6%	64	-0.89	3.23	171	68
Ross Ohlendorf R 2013 · 4.01 FIP	30	SW	4.01	18.2%	5.3%	3.2%	.265	4.18	23.5%	14.4%	122	+0.17	3.30	617	68
Chris Jakubauskas R 2009 · 4.97 FIP	30	SW	4.97	12.1%	6.2%	3.9%	.250	4.42	15.7%	7.8%	72	-0.55	4.42	165	67
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	66
Aaron Wilkerson R 2019 · 4.67 FIP	30	SP-	4.67	20.9%	9.8%	3.8%	.291	3.33	24.6%	19.0%	112	-1.34	2.75	902	66
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	66
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	66
Luke Hudson R 2006 · 3.81 FIP	29	SP-	3.81	14.5%	8.4%	1.6%	.307	—	—	—	—	—	3.81	235	66
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	581	66
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	65

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	61	19.2%	7.5%	1.39	4.72
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*
Julio Navarro ('62-'70, 1 WAR*)	1.1	53	21.7%*	7.8%*	1.55*	4.13*