Austin Voth

P Round Rock Express

Age 35 RHP 6'2" / 215 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	31	MIX4 levels	36	5	53	5.09	4.25	23.0%	9.4%	0.2	K 22.0% · BB 9.5% · FIP 4.13
2024	32	MLBSEA	68	0	61	3.69	3.90	24.6%	7.3%	0.5
2026	34	MIX2 levels	15	12	59	5.01	5.17	17.8%	7.8%	0.2	K 15.4% · BB 7.2% · FIP 5.33
2027PROJ	35	MLBMIN	155	0	163	4.73	5.00	17.2%	7.5%	-0.8
2028PROJ	36	MLBMIN	103	0	108	5.12	5.37	16.2%	8.2%	-1.0
2029PROJ	37	MLBMIN	74	0	78	5.51	5.77	15.1%	8.8%	-1.0

Last 3 seasons WAR 0.8 · Next 3 projected WAR -2.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo16

K%10

xwOBA vs10

CompsJesse Estrada (age 35) · Yohan Pino (age 33) · Ivan Maldonado (age 35)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA4.73

FIP5.00

K%17.2%

BB%7.5%

K-BB%9.6%

Proj IP163

Value2027 · WAR

Runs saved vs league avg · 163 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1692.1

Whiff%

p1015.6%

p105.4%

xwOBA vs

p100.402

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)
2015	23	AA MLE	Harrisburg Senators	28	27	157	639	148	39	10	96%	5.6	18.8%	6.7%	12.0%	1.9%	2.92	3.41	—
2015	23	AA RAW	Harrisburg Senators	28	27	157	639	148	39	10	96%	5.6	23.2%	6.1%	17.1%	1.6%	2.92	2.79	—
2016	24	AAA MLE	Syracuse Chiefs	27	25	157	660	133	54	11	93%	5.8	17.7%	8.6%	9.1%	1.9%	3.15	3.72	—
2016	24	AAA RAW	Syracuse Chiefs	27	25	157	660	133	54	11	93%	5.8	20.2%	8.2%	12.0%	1.7%	3.15	3.35	—
2017	25	MIX MLE	2 levels	23	23	121	549	86	47	20	100%	5.2	13.2%	9.1%	4.1%	4.3%	5.82	5.47	—
2017	25	MIX RAW	2 levels	23	23	121	549	86	47	20	100%	5.2	15.7%	8.6%	7.1%	3.6%	5.82	5.00	—
2018	26	MIX MLE	2 levels	28	26	138	589	128	45	16	93%	4.9	19.3%	8.0%	11.4%	2.5%	4.57	3.86	+2.5
2018	26	MIX RAW	2 levels	28	26	138	589	128	45	16	93%	4.9	21.7%	7.6%	14.1%	2.7%	4.57	3.73	+2.8
2019	27	MIX MLE	4 levels	25	24	118	494	124	28	13	96%	4.7	23.5%	6.1%	17.4%	2.9%	3.95	3.50	+2.7
2019	27	MIX RAW	4 levels	25	24	118	494	124	28	13	96%	4.7	25.1%	5.7%	19.4%	2.6%	3.95	3.14	+3.3
2020	28	MLB MLE	Washington Nationals	11	11	50	225	44	16	14	100%	4.5	19.6%	7.1%	12.4%	6.2%	6.34	5.76	-0.2
2020	28	MLB RAW	Washington Nationals	11	11	50	225	44	16	14	100%	4.5	19.6%	7.1%	12.4%	6.2%	6.34	5.96	-0.3
2021	29	MIX MLE	2 levels	51	3	60	261	63	24	10	6%	1.2	23.8%	9.3%	14.5%	4.0%	5.07	4.48	+0.1
2021	29	MIX RAW	2 levels	51	3	60	261	63	24	10	6%	1.2	24.1%	9.2%	14.9%	3.8%	5.07	4.36	+0.1
2022	30	MLB MLE	Baltimore Orioles	41	17	102	442	90	31	14	41%	2.5	20.4%	7.0%	13.3%	3.2%	4.34	4.02	+0.6
2022	30	MLB RAW	Baltimore Orioles	41	17	102	442	90	31	14	41%	2.5	20.4%	7.0%	13.3%	3.2%	4.34	4.03	+0.6
2023	31	MIX MLE	4 levels	36	5	53	244	56	23	8	14%	1.5	22.0%	9.5%	12.5%	3.1%	5.09	4.13	+0.3
2023	31	MIX RAW	4 levels	36	5	53	244	56	23	8	14%	1.5	23.0%	9.4%	13.5%	3.3%	5.09	4.25	+0.2
2024	32	MLB MLE	Seattle Mariners	68	0	61	248	61	18	9	0%	0.9	24.6%	7.3%	17.3%	3.7%	3.69	3.99	+0.4
2024	32	MLB MLE	Seattle Mariners	68	0	61	248	61	18	9	0%	0.9	24.6%	7.3%	17.3%	3.7%	3.69	3.99	+0.4
2024	32	MLB RAW	Seattle Mariners	68	0	61	248	61	18	9	0%	0.9	24.6%	7.3%	17.3%	3.6%	3.69	3.90	+0.5
2026	34	MIX MLE	2 levels	15	12	59	270	48	21	12	80%	4.0	15.4%	7.2%	8.2%	4.8%	5.01	5.33	+0.0
2026	34	MIX MLE	2 levels	15	12	59	270	48	21	12	80%	4.0	15.4%	7.2%	8.2%	4.8%	5.01	5.33	+0.0
2026	34	MIX RAW	2 levels	15	12	59	270	48	21	12	80%	4.0	17.8%	7.8%	10.0%	4.4%	5.01	5.17	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			210	39	370	1608	346	125	64	19%	1.8	21.5%	7.8%	13.7%	4.0%	4.84	4.49	+0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	35	MLB	MIN	155	0	163	688	118	52	25	0%	1.1	17.2%	7.5%	9.6%	3.7%	4.73	5.00	-0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	36	MLB MLE	MIN	102	0	108	454	73	37	18	0%	1.1	16.2%	8.2%	8.0%	4.1%	5.12	5.37	-1.0
2029	37	MLB MLE	MIN	74	0	78	330	50	29	15	0%	1.1	15.1%	8.8%	6.3%	4.5%	5.51	5.77	-1.0
2028	36	MLB CTX	MIN	103	0	108	456	74	37	18	0%	1.0	16.2%	8.2%	8.0%	4.1%	5.12	5.37	-1.0
2029	37	MLB CTX	MIN	74	0	78	329	50	29	15	0%	1.1	15.1%	8.8%	6.3%	4.5%	5.51	5.77	-1.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		387	39	556	2392	469	191	97	10%	1.4	19.6%	8.0%	11.6%	4.1%	4.99	4.68	-0.9
/ 200 IP	—	RAW		139	14	200	860	169	69	35	10%	1.4	19.6%	8.0%	11.6%	4.1%	4.99	4.68	-0.3
Career	—	MLE		353	173	1076	4621	892	358	146	49%	3.0	19.3%	7.8%	11.5%	3.1%	4.28	4.18	-1.9
/ 200 IP	—	MLE		66	32	200	859	166	67	27	49%	3.0	19.3%	7.8%	11.5%	3.1%	4.28	4.18	-0.7

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 AAARound Rock Express · 49 IPFIP 4.52 → 4.91 (+0.39)K% 21.0% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.03%	—	×0.860	18.08%
BB% (unintentional) /BF	7.01%	—	×0.900	6.31%
HR / BF /BF	4.21%	÷1.000	×1.100	4.63%

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 4.52 → 4.91, 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 · 15 IPFIP 3.10 → 3.35 (+0.25)K% 27.4% → 23.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.40%	—	×0.860	23.56%
BB% (unintentional) /BF	12.33%	—	×0.900	11.10%
HR / BF /BF	1.37%	÷0.995	×1.100	1.51%

Result: FIP 3.10 → 3.35, 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).

2019 AAAFresno Grizzlies · 61 IPFIP 3.10 → 3.60 (+0.50)K% 25.4% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.37%	—	×0.880	22.33%
BB% (unintentional) /BF	5.60%	—	×1.050	5.88%
HR / BF /BF	2.61%	÷0.962	×1.100	2.99%

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 92).

Result: FIP 3.10 → 3.60, 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).

2019 AAHarrisburg Senators · 11 IPFIP 2.82 → 3.36 (+0.55)K% 24.4% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.44%	—	×0.810	19.80%
BB% (unintentional) /BF	4.44%	—	×1.100	4.89%
HR / BF /BF	2.22%	÷1.111	×1.200	2.40%

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 122).

Result: FIP 2.82 → 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).

2018 AAASyracuse Chiefs · 126 IPFIP 3.51 → 3.66 (+0.15)K% 21.9% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.91%	—	×0.880	19.28%
BB% (unintentional) /BF	7.30%	—	×1.050	7.67%
HR / BF /BF	2.43%	÷1.205	×1.100	2.22%

Result: FIP 3.51 → 3.66, 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).

2017 AAASyracuse Chiefs · 66 IPFIP 5.47 → 5.94 (+0.47)K% 13.5% → 11.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.55%	—	×0.880	11.92%
BB% (unintentional) /BF	10.97%	—	×1.050	11.52%
HR / BF /BF	3.87%	÷0.980	×1.100	4.34%

Result: FIP 5.47 → 5.94, 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).

2017 AAHarrisburg Senators · 54 IPFIP 4.07 → 4.87 (+0.80)K% 18.4% → 14.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.41%	—	×0.810	14.91%
BB% (unintentional) /BF	5.44%	—	×1.100	5.98%
HR / BF /BF	3.35%	÷0.970	×1.200	4.14%

Result: FIP 4.07 → 4.87, 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).

2016 AAASyracuse Chiefs · 157 IPFIP 3.35 → 3.72 (+0.37)K% 20.2% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.15%	—	×0.880	17.73%
BB% (unintentional) /BF	8.18%	—	×1.050	8.59%
HR / BF /BF	1.67%	÷0.978	×1.100	1.88%

Result: FIP 3.35 → 3.72, 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
Austin Voth (OGILVIE)	—	—	—	—	—	3.7%	—	5.54	15.7%	7.3%	186	+0.54	—	—	—
Jesse Estrada R 2019 · 4.34 FIP	35	SP-	4.34	14.4%	6.6%	2.9%	.312	—	—	—	—	—	3.80	257	66
Yohan Pino R 2017 · 5.33 FIP	33	SP-	5.33	15.2%	3.6%	5.6%	.296	—	—	—	—	—	3.84	193	63
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	62
Pete Walker R 2003 · 5.73 FIP	34	SW	5.73	12.0%	9.1%	4.5%	.267	4.70	14.0%	5.1%	114	-1.03	4.45	327	59
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	2.16	306	59
Tiago Da Silva R 2019 · 3.95 FIP	34	SW	3.95	15.0%	7.2%	2.2%	.365	—	—	—	—	—	2.21	287	56
Daniel Guerrero R 2019 · 5.59 FIP	34	SW	5.59	14.7%	11.1%	4.2%	.353	—	—	—	—	—	4.61	269	56
Brian Schlitter R 2021 · 4.70 FIP	35	SU	4.70	14.9%	9.1%	3.1%	.318	—	—	—	—	—	3.27	300	55
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	53
Fernando Rodriguez Jr. R 2019 · 5.11 FIP	35	SW	5.11	25.0%	11.2%	4.9%	.312	—	—	—	—	—	3.34	335	52
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	50
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	47
Hector Navarro R 2015 · 4.35 FIP	35	SU	4.35	15.0%	5.4%	3.3%	.281	3.00	15.2%	9.0%	81	-1.35	2.30	126	46
Esmerling Vasquez R 2019 · 5.15 FIP	35	SP-	5.15	8.7%	16.8%	1.2%	.238	—	—	—	—	—	3.70	204	45
Brendan Donnelly R 2006 · 4.21 FIP	35	SU	4.21	19.1%	9.0%	2.9%	.260	3.19	18.6%	10.1%	60	-1.02	2.23	385	45
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	45
Kenshin Kawakami R 2010 · 4.06 FIP	35	SP	4.06	15.1%	5.6%	2.8%	.293	—	—	—	—	—	3.97	244	45
Walter Silva R 2009 · 5.72 FIP	32	SP	5.72	9.1%	12.4%	3.3%	.330	—	—	—	—	—	3.67	453	45
Toby Borland R 2004 · 4.28 FIP	35	SU	4.28	20.9%	8.1%	3.5%	.259	—	—	—	—	—	2.92	248	45
Jim Miller R 2016 · 5.43 FIP	34	SU	5.43	20.4%	14.1%	4.1%	.347	—	—	—	—	—	3.95	140	44

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	3.6	80	19.1%	8.2%	1.54	4.93
Mark Grant ('84-'93, 0 WAR*)	3.2	91	18.0%*	8.5%*	1.41*	4.84*
Brian Matusz ('16)	2.6	76	19.8%	8.7%	1.34	4.92
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
John Boozer ('62-'69, -2 WAR*)	2.0	66	21.1%*	9.0%*	1.46*	5.15*
Bob Priddy ('62-'71, -1 WAR*)	2.7	77	16.3%*	9.0%*	1.43*	4.80*
Jorge López ('25)	2.8	70	19.8%	8.8%	1.36	5.31