Adam Leverett

P Arkansas Travelers

Age 28 RHP 6'4" / 190 lbs AA peak 0.2 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	24	AAPHI	35	8	64	3.94	3.55	19.0%	9.9%	—	K 15.4% · BB 10.8% · FIP 4.09
2024	25	MIX2 levels	23	20	102	4.07	3.77	14.9%	7.1%	—	K 12.6% · BB 7.7% · FIP 4.11
2026	27	AASEA	21	20	96	5.06	4.89	21.4%	7.0%	—	K 17.4% · BB 7.7% · FIP 5.89
2027PROJ	28	MLBSEA	1	1	1	5.15	5.15	17.4%	7.8%	0.0
2028PROJ31% MLB	29	MLBSEA	3	3	18	5.14	5.19	17.8%	8.2%	0.0
2029PROJ51% MLB	30	MLBSEA	4	4	26	5.21	5.31	17.9%	8.6%	0.0

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.3 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsFabio Castillo (age 28) · David Griffin (age 27) · Clay Condrey (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA5.15

FIP5.15

K%17.4%

BB%7.8%

K-BB%9.6%

Proj IP66

Value2027 · WAR

Runs saved vs league avg · 66 IP

Grades · Contract

Scouting Grades

K†4040

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	20	ROK MLE	GCL Phillies East	2	1	4	15	6	0	0	50%	1.8	40.0%	0.0%	40.0%	0.0%	2.45	-0.28	—
2019	20	ROK RAW	GCL Phillies East	2	1	4	15	6	0	0	50%	1.8	40.0%	0.0%	40.0%	0.0%	2.45	-0.17	—
2021	22	MIX MLE	3 levels	21	17	85	351	90	31	7	81%	4.1	20.4%	10.0%	10.5%	1.4%	3.48	3.41	—
2021	22	MIX RAW	3 levels	21	17	85	351	90	31	7	81%	4.1	25.6%	8.8%	16.8%	2.0%	3.48	3.15	—
2022	23	AA MLE	Reading Fightin Phils	29	11	75	330	84	28	14	38%	2.6	20.6%	9.3%	11.3%	4.8%	5.54	5.20	—
2022	23	AA RAW	Reading Fightin Phils	29	11	75	330	84	28	14	38%	2.6	25.5%	8.5%	17.0%	4.2%	5.54	4.41	—
2023	24	AA MLE	Reading Fightin Phils	35	8	64	274	52	27	4	23%	1.8	15.4%	10.8%	4.5%	1.7%	3.94	4.09	—
2023	24	AA RAW	Reading Fightin Phils	35	8	64	274	52	27	4	23%	1.8	19.0%	9.9%	9.1%	1.5%	3.94	3.55	—
2024	25	MIX MLE	2 levels	23	20	102	422	63	30	8	87%	4.4	12.6%	7.7%	4.9%	2.0%	4.07	4.11	—
2024	25	MIX MLE	2 levels	23	20	102	422	63	30	8	87%	4.4	12.6%	7.7%	4.9%	2.0%	4.07	4.11	—
2024	25	MIX RAW	2 levels	23	20	102	422	63	30	8	87%	4.4	14.9%	7.1%	7.8%	1.9%	4.07	3.77	—
2026	27	AA MLE	Arkansas Travelers	21	20	96	401	86	28	20	95%	4.6	17.4%	7.7%	9.7%	6.0%	5.06	5.89	—
2026	27	AA MLE	Arkansas Travelers	21	20	96	401	86	28	20	95%	4.6	17.4%	7.7%	9.7%	6.0%	5.06	5.89	—
2026	27	AA RAW	Arkansas Travelers	21	20	96	401	86	28	20	95%	4.6	21.4%	7.0%	14.5%	5.0%	5.06	4.89	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SEA	1	1	1	4	1	0	0	100%	1.0	17.4%	7.8%	9.6%	3.9%	5.15	5.15	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SEA	10	10	57	242	43	20	10	100%	5.7	17.8%	8.2%	9.6%	4.0%	5.14	5.19	+0.1
2029	30	MLB MLE	SEA	8	8	50	212	38	18	9	100%	6.3	17.9%	8.6%	9.3%	4.1%	5.21	5.31	+0.1
2028	29	MLB CTX	SEA	3	3	18	76	14	6	3	100%	6.0	17.8%	8.2%	9.6%	4.0%	5.14	5.19	+0.0
2029	30	MLB CTX	SEA	4	4	26	110	20	9	5	100%	6.5	17.9%	8.6%	9.3%	4.1%	5.21	5.31	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	7	44	185	33	16	7	100%	6.2	17.8%	8.4%	9.4%	4.0%	5.18	4.88	+0.3
/ 200 IP	—	RAW		33	33	200	844	151	73	32	100%	6.0	17.8%	8.4%	9.4%	4.0%	5.18	4.88	+1.2
Career	—	MLE		131	77	425	1793	311	159	58	59%	3.2	17.3%	8.9%	8.5%	3.2%	4.40	4.53	+0.2
/ 200 IP	—	MLE		62	36	200	843	146	75	27	59%	3.2	17.3%	8.9%	8.5%	3.2%	4.40	4.53	+0.4

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 AAArkansas Travelers · 96 IPFIP 4.91 → 5.89 (+0.98)K% 21.4% → 17.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.45%	—	×0.810	17.37%
BB% (unintentional) /BF	6.98%	—	×1.100	7.68%
HR / BF /BF	4.99%	÷1.000	×1.200	5.99%

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 4.91 → 5.89, 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 AAMontgomery Biscuits · 90 IPFIP 3.55 → 4.11 (+0.56)K% 15.5% → 12.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.55%	—	×0.810	12.60%
BB% (unintentional) /BF	6.97%	—	×1.100	7.67%
HR / BF /BF	1.61%	÷0.958	×1.200	2.01%

Result: FIP 3.55 → 4.11, 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 AAADurham Bulls · 12 IPFIP 5.51 → 5.61 (+0.10)K% 10.2% → 8.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	10.20%	—	×0.860	8.78%
BB% (unintentional) /BF	8.16%	—	×0.900	7.35%
HR / BF /BF	4.08%	÷1.061	×1.100	4.23%

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 112).

Result: FIP 5.51 → 5.61, 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 AAReading Fightin Phils · 64 IPFIP 3.55 → 4.09 (+0.54)K% 19.0% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.98%	—	×0.810	15.37%
BB% (unintentional) /BF	9.85%	—	×1.100	10.84%
HR / BF /BF	1.46%	÷1.050	×1.200	1.67%

Result: FIP 3.55 → 4.09, 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 AAReading Fightin Phils · 75 IPFIP 4.35 → 5.20 (+0.85)K% 25.5% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.45%	—	×0.810	20.62%
BB% (unintentional) /BF	8.48%	—	×1.100	9.33%
HR / BF /BF	4.24%	÷1.051	×1.200	4.85%

Result: FIP 4.35 → 5.20, 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 AAReading Fightin Phils · 36 IPFIP 3.96 → 4.24 (+0.28)K% 22.8% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.78%	—	×0.810	18.46%
BB% (unintentional) /BF	8.23%	—	×1.100	9.05%
HR / BF /BF	3.16%	÷1.344	×1.200	2.83%

Result: FIP 3.96 → 4.24, 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).

2021 A+Jersey Shore BlueClaws · 40 IPFIP 1.84 → 2.59 (+0.75)K% 29.1% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.11%	—	×0.770	22.42%
BB% (unintentional) /BF	9.49%	—	×1.150	10.92%
HR / BF /BF	0.00%	÷1.004	×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 101).

Result: FIP 1.84 → 2.59, 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 AAALehigh Valley IronPigs · 9 IPFIP 5.39 → 6.15 (+0.75)K% 22.9% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.86%	—	×0.880	20.11%
BB% (unintentional) /BF	8.57%	—	×1.050	9.00%
HR / BF /BF	5.71%	÷0.957	×1.100	6.57%

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 91).

Result: FIP 5.39 → 6.15, 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
Adam Leverett (OGILVIE)	—	—	5.15	17.4%	7.8%	3.9%	—	5.25	17.8%	9.5%	108	+0.10	—	—	—
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	81
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	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	77
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	77
Eddie Bonine R 2009 · 5.60 FIP	28	SW	5.60	13.1%	7.6%	4.8%	.306	4.54	8.6%	2.0%	68	-1.06	4.40	129	75
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	75
Aldo Montes R 2017 · 4.96 FIP	27	SP-	4.96	12.4%	8.5%	3.3%	.322	4.69	18.2%	7.6%	75	-0.27	4.69	210	75
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	74
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	74
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	73
Dustin Nippert R 2009 · 4.09 FIP	28	SP-	4.09	18.0%	9.7%	2.3%	.271	4.49	17.9%	6.1%	57	+0.40	3.83	268	73
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	73
Grant Judkins R 2024 · 5.13 FIP	26	SW	5.13	16.8%	9.1%	4.2%	.264	5.80	14.9%	5.8%	124	+0.67	5.13	322	72
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	72
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	72
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	72
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	71
Lisalverto Bonilla R 2017 · 4.61 FIP	27	SW	4.61	18.2%	10.5%	3.1%	.304	4.70	15.8%	3.2%	11	+0.09	3.22	242	71
Ivan Zavala R 2015 · 4.51 FIP	28	SP-	4.51	7.0%	4.7%	2.6%	.312	4.73	12.2%	4.3%	50	+0.22	4.27	209	71
Bradin Hagens R 2018 · 4.92 FIP	29	SP-	4.92	14.9%	9.9%	3.3%	.341	5.46	13.2%	0.6%	66	+0.54	3.79	254	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	0.9	58	17.7%	8.2%	1.54	5.16
Ricky Stone ('07)	1.3	64	15.2%	8.0%	1.55	4.68
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
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*
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*