Garrett Stallings

P Nashville Sounds

Age 29 RHP 6'1" / 218 lbs AAA peak 0.3 · 2027 ILForty Man (40M)

Overview

AAARP40M40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	AAAMIL	28	9	80	4.74	4.77	19.4%	10.7%	—	K 16.7% · BB 9.6% · FIP 5.22
2025	27	AAAMIL	30	15	99	3.99	3.46	17.7%	5.2%	—	K 15.3% · BB 4.7% · FIP 3.61
2026	28	MIX2 levels	32	14	96	3.38	2.96	23.4%	8.1%	1.9	K 20.7% · BB 7.4% · FIP 3.19
2027PROJ	29	MLBMIL	6	6	38	4.02	4.11	18.1%	6.7%	0.6
2028PROJ77% MLB	30	MLBMIL	6	6	39	4.22	4.34	17.9%	7.2%	0.5
2029PROJ83% MLB	31	MLBMIL	5	5	35	4.43	4.57	17.6%	7.7%	0.3

Last 3 seasons WAR 1.9 · Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%90

xwOBA vs90

FB Velo19

Career WAR0.0 WAR median (P10 -0.3 / P90 0.4, comp-based) · star 0% · didn't stick 98%

CompsJorge Martinez (age 31) · Zach Stewart (age 28) · Jose Contreras (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 111103vR 95

ERA4.02

FIP4.11

K%18.1%

BB%6.7%

K-BB%11.4%

Proj IP55

Value2027 · WAR

Runs saved vs league avg · 55 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL6565

CMD4545

K†4545

Statcast Percentiles

FB Velo

p1992.3

Whiff%

p9033.0%

p9033.3%

xwOBA vs

p900.169

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)
2021	23	MIX MLE	2 levels	23	19	106	437	96	20	19	83%	4.6	17.1%	5.2%	11.9%	4.9%	4.67	4.99	—
2021	23	MIX RAW	2 levels	23	19	106	437	96	20	19	83%	4.6	22.0%	4.6%	17.4%	4.3%	4.67	4.18	—
2022	24	AA MLE	Bowie Baysox	26	22	119	527	124	29	27	85%	4.6	19.1%	6.1%	13.0%	5.3%	6.28	5.14	—
2022	24	AA RAW	Bowie Baysox	26	22	119	527	124	29	27	85%	4.6	23.5%	5.5%	18.0%	5.1%	6.28	4.70	—
2023	25	MIX MLE	2 levels	28	19	127	547	133	44	18	68%	4.5	20.4%	7.9%	12.5%	3.5%	5.16	4.29	—
2023	25	MIX RAW	2 levels	28	19	127	547	133	44	18	68%	4.5	24.3%	8.0%	16.3%	3.3%	5.16	3.89	—
2024	26	AAA MLE	Nashville Sounds	28	9	80	346	67	37	12	32%	2.8	16.7%	9.6%	7.0%	4.2%	4.74	5.22	—
2024	26	AAA MLE	Nashville Sounds	28	9	80	346	67	37	12	32%	2.8	16.7%	9.6%	7.0%	4.2%	4.74	5.22	—
2024	26	AAA RAW	Nashville Sounds	28	9	80	346	67	37	12	32%	2.8	19.4%	10.7%	8.7%	3.5%	4.74	4.77	—
2025	27	AAA MLE	Nashville Sounds	30	15	99	406	72	21	9	50%	3.3	15.3%	4.7%	10.6%	2.2%	3.99	3.61	—
2025	27	AAA MLE	Nashville Sounds	30	15	99	406	72	21	9	50%	3.3	15.3%	4.7%	10.6%	2.2%	3.99	3.61	—
2025	27	AAA RAW	Nashville Sounds	30	15	99	406	72	21	9	50%	3.3	17.7%	5.2%	12.6%	2.2%	3.99	3.46	—
2026	28	MIX MLE	2 levels	32	14	96	406	95	33	6	44%	3.0	20.7%	7.4%	13.3%	1.6%	3.38	3.19	+1.6
2026	28	MIX MLE	2 levels	32	14	96	406	95	33	6	44%	3.0	20.7%	7.4%	13.3%	1.6%	3.38	3.19	+1.6
2026	28	MIX RAW	2 levels	32	14	96	406	95	33	6	44%	3.0	23.4%	8.1%	15.3%	1.5%	3.38	2.96	+1.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			6	0	14	51	17	5	0	0%	2.3	33.3%	9.8%	23.5%	0.0%	0.00	1.74	+0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	MIL	6	6	38	160	29	11	4	100%	6.3	18.1%	6.7%	11.4%	2.4%	4.02	4.11	+0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	MIL	8	8	51	214	38	16	6	100%	6.3	17.9%	7.2%	10.7%	2.7%	4.22	4.34	+0.6
2029	31	MLB MLE	MIL	6	6	42	176	31	14	5	100%	7.0	17.6%	7.7%	9.8%	2.9%	4.43	4.57	+0.4
2028	30	MLB CTX	MIL	6	6	39	165	29	12	4	100%	6.5	17.9%	7.2%	10.7%	2.7%	4.22	4.34	+0.5
2029	31	MLB CTX	MIL	5	5	35	148	26	11	4	100%	7.0	17.6%	7.7%	9.8%	2.9%	4.43	4.57	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		17	11	88	363	72	28	9	65%	5.2	19.9%	7.8%	12.1%	2.4%	3.63	3.71	+1.8
/ 200 IP	—	RAW		40	26	200	826	164	64	20	66%	5.0	19.9%	7.8%	12.1%	2.4%	3.63	3.71	+4.1
Career	—	MLE		167	98	627	2669	491	180	98	59%	3.8	18.4%	6.8%	11.6%	3.7%	4.78	4.42	+1.7
/ 200 IP	—	MLE		53	31	200	851	156	57	31	59%	3.8	18.4%	6.8%	11.6%	3.7%	4.78	4.42	+3.1

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 AAANashville Sounds · 82 IPFIP 3.17 → 3.42 (+0.25)K% 22.0% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.97%	—	×0.860	18.90%
BB% (unintentional) /BF	7.89%	—	×0.900	7.10%
HR / BF /BF	1.69%	÷1.000	×1.100	1.86%

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 3.17 → 3.42, 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 AAANashville Sounds · 99 IPFIP 3.47 → 3.61 (+0.13)K% 17.7% → 15.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.73%	—	×0.860	15.25%
BB% (unintentional) /BF	5.17%	—	×0.900	4.66%
HR / BF /BF	2.22%	÷1.111	×1.100	2.19%

Result: FIP 3.47 → 3.61, 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).

2024 AAANashville Sounds · 80 IPFIP 4.72 → 5.22 (+0.49)K% 19.4% → 16.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.36%	—	×0.860	16.65%
BB% (unintentional) /BF	10.69%	—	×0.900	9.62%
HR / BF /BF	3.47%	÷0.909	×1.100	4.20%

Result: FIP 4.72 → 5.22, 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 AAANorfolk Tides · 74 IPFIP 3.69 → 4.06 (+0.37)K% 24.7% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.69%	—	×0.860	21.23%
BB% (unintentional) /BF	7.72%	—	×0.900	6.94%
HR / BF /BF	3.09%	÷0.995	×1.100	3.41%

Result: FIP 3.69 → 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 AABowie Baysox · 53 IPFIP 4.14 → 4.62 (+0.48)K% 23.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.77%	—	×0.810	19.25%
BB% (unintentional) /BF	8.52%	—	×1.100	9.37%
HR / BF /BF	3.59%	÷1.208	×1.200	3.56%

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 142).

Result: FIP 4.14 → 4.62, 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 AABowie Baysox · 119 IPFIP 4.62 → 5.14 (+0.52)K% 23.5% → 19.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.53%	—	×0.810	19.06%
BB% (unintentional) /BF	5.50%	—	×1.100	6.05%
HR / BF /BF	5.12%	÷1.170	×1.200	5.26%

Result: FIP 4.62 → 5.14, 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+Aberdeen IronBirds · 80 IPFIP 3.84 → 4.79 (+0.95)K% 22.7% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.70%	—	×0.770	17.48%
BB% (unintentional) /BF	3.68%	—	×1.150	4.23%
HR / BF /BF	3.99%	÷1.041	×1.250	4.79%

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 108).

Result: FIP 3.84 → 4.79, 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 AABowie Baysox · 26 IPFIP 5.31 → 5.58 (+0.27)K% 19.8% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.82%	—	×0.810	16.05%
BB% (unintentional) /BF	7.21%	—	×1.100	7.93%
HR / BF /BF	5.41%	÷1.258	×1.200	5.16%

Result: FIP 5.31 → 5.58, 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
Garrett Stallings (OGILVIE)	—	—	4.11	18.1%	6.7%	2.4%	—	4.44	17.7%	10.3%	93	+0.33	—	—	—
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	75
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	71
Jose Contreras R 2003 · 3.03 FIP	31	SP-	3.03	24.6%	9.9%	1.4%	.255	4.30	17.9%	9.5%	571	+1.27	2.43	1,279	69
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	68
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	68
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	68
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	67
Jon Leicester R 2007 · 4.44 FIP	28	SP-	4.44	11.0%	9.0%	2.1%	.292	—	—	—	—	—	3.76	113	66
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	65
Tiago Da Silva R 2015 · 3.10 FIP	30	SW	3.10	19.6%	4.5%	2.0%	.278	2.38	21.4%	18.5%	98	-0.72	2.21	287	65
Ryan Jensen R 2005 · 4.35 FIP	29	SW	4.35	15.7%	5.2%	3.5%	.310	—	—	—	—	—	4.35	253	65
Gabriel Arias R 2019 · 4.11 FIP	29	SP-	4.11	13.9%	6.8%	2.4%	.300	—	—	—	—	—	4.11	195	65
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	64
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	64
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	64
Carlos Frías R 2019 · 4.42 FIP	29	SP-	4.42	16.9%	11.1%	2.4%	.369	—	—	—	—	—	3.40	236	64
Michael Brady R 2016 · 3.02 FIP	29	SP-	3.02	17.6%	3.7%	1.7%	.290	3.73	18.3%	15.0%	140	+0.71	3.02	333	63
Markus Solbach R 2021 · 3.63 FIP	29	SP-	3.63	15.4%	8.3%	1.4%	.383	5.37	18.3%	10.7%	63	+1.74	3.34	391	63
Brooks Hall R 2017 · 3.45 FIP	27	SP-	3.45	13.6%	7.4%	1.0%	.359	—	—	—	—	—	3.45	274	63
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	63

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	0.8	54	19.0%	7.4%	0.94	3.84
Blaine Hardy ('21)	1.5	48	18.5%	8.3%	0.99	3.78
Mike Perez ('90-'97, 3 WAR*)	1.7	58	18.5%*	8.2%*	0.88*	3.86*
Dale Thayer ('15)	1.3	63	20.4%	6.3%	1.07	3.47
Scott Atchison ('15)	1.7	50	17.7%	6.2%	0.91	3.63
Ramon Hernandez ('67-'77, 6 WAR*)	2.2	61	19.7%*	7.3%*	0.77*	3.65*
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*