Austin Pruitt

P Las Vegas Aviators

Age 37 RHP 5'10" / 185 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	32	MIX2 levels	51	1	77	3.96	3.88	18.4%	3.5%	0.6	K 17.7% · BB 3.5% · FIP 4.16
2023	33	MIX2 levels	49	6	65	2.92	3.76	18.3%	6.1%	0.6	K 17.4% · BB 5.9% · FIP 4.00
2024	34	MIX3 levels	25	4	33	8.10	5.77	14.9%	6.8%	-0.5	K 13.6% · BB 6.8% · FIP 5.32
2025	35	No MLB games played
2026	36	No MLB games played
2027PROJ	37	MLBTEX	15	0	16	4.32	4.47	21.7%	8.9%	0.0
2028PROJMLE	38	MLBTEX	—	—	0	4.67	4.91	20.5%	9.6%	—
2029PROJMLE	39	MLBTEX	—	—	0	5.07	5.34	19.4%	10.3%	—

Last 3 seasons WAR 0.7 · Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2023

xwOBA vs56

FB Velo12

K%10

CompsKeiichi Yabu (age 36) · Juan Sandoval (age 36) · Francisco Del Rosario (age 36)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 112104vR 96

ERA4.32

FIP4.47

K%21.7%

BB%8.9%

K-BB%12.8%

Proj IP165

Value2027 · WAR

Runs saved vs league avg · 165 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1291.8

Whiff%

p1520.4%

p1015.2%

xwOBA vs

p560.306

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	25	AA MLE	Montgomery Biscuits	26	26	160	658	122	38	3	100%	6.2	15.0%	6.4%	8.7%	0.6%	3.09	2.94	—
2015	25	AA RAW	Montgomery Biscuits	26	26	160	658	122	38	3	100%	6.2	18.5%	5.8%	12.8%	0.5%	3.09	2.53	—
2016	26	AAA MLE	Durham Bulls	28	28	163	657	149	27	21	100%	5.8	20.0%	4.3%	15.6%	3.0%	3.76	3.61	—
2016	26	AAA RAW	Durham Bulls	28	28	163	657	149	27	21	100%	5.8	22.7%	4.1%	18.6%	3.2%	3.76	3.44	—
2017	27	MIX MLE	2 levels	39	12	108	464	99	22	13	31%	2.8	20.5%	4.8%	15.7%	2.9%	4.68	3.56	+1.3
2017	27	MIX RAW	2 levels	39	12	108	464	99	22	13	31%	2.8	21.3%	4.7%	16.6%	2.8%	4.68	3.44	+1.4
2018	28	MIX MLE	2 levels	37	4	109	441	91	22	9	11%	3.0	19.3%	5.1%	14.2%	2.1%	4.03	3.29	+1.7
2018	28	MIX RAW	2 levels	37	4	109	441	91	22	9	11%	3.0	20.6%	5.0%	15.6%	2.0%	4.03	3.11	+1.9
2019	29	MIX MLE	2 levels	32	8	95	409	90	22	16	25%	3.0	20.5%	5.5%	15.0%	3.9%	4.91	4.21	+0.4
2019	29	MIX RAW	2 levels	32	8	95	409	90	22	16	25%	3.0	22.0%	5.4%	16.6%	3.9%	4.91	4.09	+0.5
2021	31	MIX MLE	3 levels	21	4	27	114	23	5	4	19%	1.3	21.1%	5.9%	15.2%	3.5%	4.67	3.99	+0.2
2021	31	MIX RAW	3 levels	21	4	27	114	23	5	4	19%	1.3	20.2%	4.4%	15.8%	3.5%	4.67	3.88	+0.2
2022	32	MIX MLE	2 levels	51	1	77	315	58	11	11	2%	1.5	17.7%	3.5%	14.1%	3.8%	3.96	4.16	+0.4
2022	32	MIX RAW	2 levels	51	1	77	315	58	11	11	2%	1.5	18.4%	3.5%	14.9%	3.5%	3.96	3.88	+0.6
2023	33	MIX MLE	2 levels	49	6	65	262	48	16	7	12%	1.3	17.4%	5.9%	11.4%	2.9%	2.92	4.00	+0.4
2023	33	MIX RAW	2 levels	49	6	65	262	48	16	7	12%	1.3	18.3%	6.1%	12.2%	2.7%	2.92	3.76	+0.6
2024	34	MIX MLE	3 levels	25	4	33	161	24	11	8	16%	1.3	13.6%	6.8%	6.9%	4.6%	8.10	5.32	-0.3
2024	34	MIX MLE	3 levels	25	4	33	161	24	11	8	16%	1.3	13.6%	6.8%	6.9%	4.6%	8.10	5.32	-0.3
2024	34	MIX RAW	3 levels	25	4	33	161	24	11	8	16%	1.3	14.9%	6.8%	8.1%	5.0%	8.10	5.77	-0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			154	17	315	1328	221	68	46	11%	2.0	16.6%	5.1%	11.5%	3.5%	4.54	4.24	+1.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	TEX	15	0	16	68	15	6	2	0%	1.1	21.7%	8.9%	12.8%	3.1%	4.32	4.47	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	TEX	101	0	106	449	92	43	16	0%	1.1	20.5%	9.6%	11.0%	3.5%	4.67	4.91	-0.4
2029	39	MLB MLE	TEX	72	0	76	319	62	33	13	0%	1.0	19.4%	10.3%	9.1%	4.0%	5.07	5.34	-0.6
2028	38	MLB CTX	TEX	—	—	0	—	—	—	—	—	—	20.5%	9.6%	11.0%	3.5%	4.67	4.91	—
2029	39	MLB CTX	TEX	—	—	0	—	—	—	—	—	—	19.4%	10.3%	9.1%	4.0%	5.07	5.34	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		154	17	315	1328	221	68	46	11%	2.0	16.6%	5.1%	11.5%	3.5%	4.54	4.24	+1.1
/ 200 IP	—	RAW		98	11	200	843	140	43	29	11%	2.0	16.6%	5.1%	11.5%	3.5%	4.54	4.24	+0.7
Career	—	MLE		308	93	837	3481	641	181	93	30%	2.7	18.4%	5.2%	13.2%	2.7%	4.07	3.68	-0.0
/ 200 IP	—	MLE		74	22	200	831	153	43	22	30%	2.7	18.4%	5.2%	13.2%	2.7%	4.07	3.68	-0.0

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.

2024 AAALas Vegas Aviators · 25 IPFIP 5.00 → 5.32 (+0.32)K% 15.8% → 13.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.83%	—	×0.860	13.62%
BB% (unintentional) /BF	7.50%	—	×0.900	6.75%
HR / BF /BF	4.17%	÷1.001	×1.100	4.58%

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 5.00 → 5.32, 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 · 16 IPFIP 3.42 → 3.82 (+0.40)K% 27.3% → 23.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.860	23.45%
BB% (unintentional) /BF	7.58%	—	×0.900	6.82%
HR / BF /BF	3.03%	÷0.996	×1.100	3.35%

Result: FIP 3.42 → 3.82, 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 · 22 IPFIP 1.52 → 1.76 (+0.24)K% 22.0% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.98%	—	×0.880	19.34%
BB% (unintentional) /BF	2.20%	—	×1.050	2.31%
HR / BF /BF	0.00%	÷1.075	×1.100	0.00%

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 1.52 → 1.76, 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 AAAJacksonville Jumbo Shrimp · 17 IPFIP 3.34 → 3.99 (+0.65)K% 23.9% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.94%	—	×0.880	21.07%
BB% (unintentional) /BF	5.63%	—	×1.050	5.92%
HR / BF /BF	2.82%	÷0.886	×1.100	3.50%

Result: FIP 3.34 → 3.99, 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).

2019 AAADurham Bulls · 48 IPFIP 4.10 → 4.31 (+0.22)K% 23.6% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.61%	—	×0.880	20.78%
BB% (unintentional) /BF	5.56%	—	×1.050	5.83%
HR / BF /BF	4.17%	÷1.128	×1.100	4.06%

Result: FIP 4.10 → 4.31, 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 AAADurham Bulls · 40 IPFIP 1.58 → 2.03 (+0.45)K% 32.7% → 28.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.67%	—	×0.880	28.75%
BB% (unintentional) /BF	4.00%	—	×1.050	4.20%
HR / BF /BF	1.33%	÷0.970	×1.100	1.51%

Result: FIP 1.58 → 2.03, 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 AAADurham Bulls · 25 IPFIP 1.56 → 1.99 (+0.43)K% 35.5% → 31.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.48%	—	×0.880	31.23%
BB% (unintentional) /BF	2.15%	—	×1.050	2.26%
HR / BF /BF	2.15%	÷1.049	×1.100	2.26%

Result: FIP 1.56 → 1.99, 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).

2016 AAADurham Bulls · 163 IPFIP 3.46 → 3.61 (+0.15)K% 22.7% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.68%	—	×0.880	19.96%
BB% (unintentional) /BF	4.11%	—	×1.050	4.32%
HR / BF /BF	3.20%	÷1.167	×1.100	3.01%

Result: FIP 3.46 → 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).

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 Pruitt (OGILVIE)	—	—	—	—	—	3.1%	—	5.09	20.1%	10.2%	182	+0.62	—	—	—
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	49
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	45
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	44
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	44
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	42
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	41
Scott Atchison R 2013 · 3.80 FIP	37	SU	3.80	14.4%	6.2%	2.1%	.273	3.60	16.7%	12.9%	92	-0.20	2.52	340	37
Matt Bush R 2023 · 3.79 FIP	37	SU	3.79	26.2%	8.7%	3.3%	.225	—	—	—	—	—	2.87	249	37
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	36
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	35
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	35
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	34
Pete Walker R 2006 · 4.45 FIP	37	SU	4.45	19.6%	8.0%	3.6%	.337	—	—	—	—	—	4.45	327	33
Masato Yoshii R 2002 · 4.15 FIP	37	SP-	4.15	13.4%	5.4%	2.7%	.295	—	—	—	—	—	4.15	757	33
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	31
Kenshin Kawakami R 2010 · 4.06 FIP	35	SP	4.06	15.1%	5.6%	2.8%	.293	—	—	—	—	—	3.97	244	27
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	25
Tony Pena Jr. R 2017 · 3.43 FIP	36	SU	3.43	10.9%	4.3%	1.3%	.312	—	—	—	—	—	2.80	128	24
Jose Oyervides R 2019 · 5.66 FIP	37	SP	5.66	16.3%	11.2%	4.6%	.320	—	—	—	—	—	3.01	407	24
Yasutomo Kubo R 2019 · 3.98 FIP	38	SP	3.98	20.4%	4.7%	3.6%	.327	—	—	—	—	—	3.98	152	23

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	3.3	83	18.9%	7.6%	1.33	4.57
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
Luis Cessa ('23)	2.1	53	18.3%	7.8%	1.40	4.43
Paul Reuschel ('75-'79, 1 WAR*)	2.0	79	16.8%*	7.6%*	1.29*	4.76*
Rich Bordi ('80-'88, 1 WAR*)	1.9	74	20.8%*	7.3%*	1.22*	4.55*
Randy O'Neal ('84-'90, 1 WAR*)	2.2	73	17.4%*	7.8%*	1.21*	4.65*
Matt Andriese ('24)	2.6	74	21.8%	6.7%	1.36	4.65