Andrew Vaughn

1B Milwaukee Brewers

Age 29 R/R 5'10" / 215 lbs MLB HR +10%K +6% Svc 5.826 · Ctrl thru 2027

Overview

MLB40-MANArb-3FA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	26	MLBCWS	619	.246/.300/.402	19	2	95	-1.3
2025	27	AAAMIL	132	.235/.333/.426	5	0	70	—	.200/.273/.325
2025	27	MLBMIL	447	.254/.311/.411	14	0	102	-0.2
2026	28	MLBMIL	331	.306/.392/.444	6	0	141	1.8
2027PROJ	29	MLBMIL	349	.256/.332/.408	9	1	111	0.7
2028PROJ	30	MLBMIL	513	.252/.328/.398	13	0	107	0.5
2029PROJ	31	MLBMIL	499	.247/.322/.386	12	0	102	0.1

Last 3 seasons WAR 0.3 · Next 3 projected WAR 1.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service5.826First FA2028

2027Arb-3$4M

Skills · percentileStatcast 2024-2026

Avg EV73

xwOBA70

Barrel%57

Bat Spd39

Speed16

Form.255/.325/.402 · rolling true talent (60d window) · proj .259/.332/.410

CompsRangel Ravelo (age 28) · Ryan Garko (age 29) · Robbie Tenerowicz (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 116111vR 95

AVG/OBP/SLG.256 / .332 / .408

PA349

HR9

K%18

BB%9

BABIP290

ISO145

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · ContractCON 55 / POW 55

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

xAVG

560.256

POWER55

Barrel%

579.2

Avg EV

7390.7

Bat Spd

3970.1

EYE45

scouting grade only

SPEED40

Sprint

1625.8

Recent Formrolling true talent ⓘ

K%19%▼21% over 42 PA (60d) · proj 18%

BB%8%·7% over 42 PA (60d) · proj 9%

ISO.147·.128 over 39 AB (60d) · proj .151

HR/BB3.5%·3.3% over 30 BBE (60d) · proj 3.6%

BABIP.297·.345 over 29 BIP (60d) · proj .295

SLASH.255/.325/.402·proj .259/.332/.410

Platoon Splits2024-2025 · 1066 PA

vs LHP

vs RHP

Edge

288

778

—

wRC+

127

◀◀L

wOBA

357

294

◀◀L

ISO

161

155

◀L

BABIP

330

265

◀◀L

15.6%

21.5%

◀◀L

BB%

8.0%

5.9%

◀◀L

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Arb-3

MLB Debut 2021

Service 5.826 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-3	$4M	+0.7	$3M	+$0.0M (cut)
Totals		$0.0M		$3M	+$0.0M

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2019	21	A+	Winston-Salem Dash	—	126	107	27	8	0	3	16	17	1	0	1	252	355	411	766	159	270	13	13	340	69	—	—	—	—	—	—
2019	21	A	Kannapolis Intimidators	—	103	83	21	7	0	2	14	18	5	0	0	253	392	410	802	157	297	17	14	364	86	—	—	—	—	—	—
2019	21	ROK	ACL White Sox	—	16	15	9	2	0	1	0	3	1	0	0	600	625	933	1.558	333	727	19	0	676	201	—	—	—	—	—	—
2021	23	MLB	Chicago White Sox	—	469	417	98	22	0	15	41	101	6	1	1	235	312	396	708	161	271	22	9	315	98	-1	-0	-9	-5	+10	-0.5
2022	24	MLB	Chicago White Sox	—	555	510	138	28	1	17	31	96	9	0	0	271	324	429	753	159	301	17	6	332	110	+7	+0	-21	-6	+12	-0.9
2023	25	MLB	Chicago White Sox	—	615	566	146	30	2	21	36	129	11	0	0	258	315	429	744	171	299	21	6	330	108	+6	+0	-10	-11	+13	-0.2
2024	26	MLB	Chicago White Sox	—	619	570	140	30	1	19	38	132	6	2	0	246	300	402	701	156	285	21	6	310	95	-4	+0	-11	-11	+13	-1.3
2025	27	MLB	Milwaukee Brewers	—	447	406	103	22	0	14	31	80	3	0	0	254	311	411	723	158	280	18	7	317	102	+1	+0	-3	-10	+10	-0.2
2025	27	AAA	Nashville Sounds	—	132	115	27	5	1	5	17	23	0	0	0	235	333	426	759	191	253	17	13	339	70	—	—	—	—	—	—
2026	28	MLB	Milwaukee Brewers	—	331	288	88	18	2	6	35	53	6	0	0	306	392	444	837	139	355	16	11	374	141	+16	+0	+0	-6	+7	1.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3036	2757	713	150	6	92	212	591	41	3	1	259	321	417	738	159	296	19	7	327	107	+27	+0	-54	-49	+66	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	21	A+ MLE	Winston-Salem Dash	—	126	113	23	6	0	2	10	25	1	0	1	204	274	310	584	106	234	20	8	270	69	—	—	—	—	—	—
2019	21	A MLE	Kannapolis Intimidators	—	103	88	19	6	0	2	9	25	5	0	0	216	324	352	676	136	263	24	9	295	86	—	—	—	—	—	—
2019	21	ROK MLE	ACL White Sox	—	16	15	6	1	0	1	0	4	1	0	0	400	438	667	1.104	267	558	25	0	465	201	—	—	—	—	—	—
2021	23	MLB MLE	Chicago White Sox	—	469	417	98	22	0	15	41	101	6	1	1	235	312	396	708	161	271	22	9	313	98	-1	-0	-9	-5	+10	-0.5
2022	24	MLB MLE	Chicago White Sox	—	555	510	138	28	1	17	31	96	9	0	0	271	324	429	753	159	301	17	6	331	110	+7	+0	-21	-6	+12	-0.9
2023	25	MLB MLE	Chicago White Sox	—	615	566	146	30	2	21	36	129	11	0	0	258	315	429	744	171	299	21	6	328	108	+6	+0	-10	-11	+13	-0.2
2024	26	MLB MLE	Chicago White Sox	—	619	570	140	30	1	19	38	132	6	2	0	246	300	402	701	156	285	21	6	309	95	-4	+0	-11	-11	+13	-1.3
2025	27	MLB MLE	Milwaukee Brewers	—	447	406	104	24	0	13	31	80	3	0	0	256	314	411	725	155	280	18	7	319	102	+1	+0	-3	-10	+10	-0.2
2025	27	AAA MLE	Nashville Sounds	—	132	120	24	4	1	3	12	27	0	0	0	200	273	325	598	125	240	20	9	272	70	—	—	—	—	—	—
2026	28	MLB MLE	Milwaukee Brewers	—	331	289	89	19	2	6	34	53	6	0	0	308	392	450	842	142	355	16	10	376	141	+16	+0	+0	-6	+7	1.8
2019	21	A+ MLE	3 teams	—	245	216	49	13	0	5	19	54	7	0	1	227	310	356	666	130	275	22	8	293	85	—	—	—	—	—	—
2019	21	A+ RAW	3 teams	—	245	205	57	17	0	6	30	38	7	0	1	278	388	449	837	171	311	16	12	372	85	—	—	—	—	—	—
2021	23	MLB MLE	Chicago White Sox	—	469	417	98	22	0	15	41	101	6	1	1	235	312	396	708	161	271	22	9	313	98	-1	-0	-9	-5	+10	-0.5
2021	23	MLB RAW	Chicago White Sox	—	469	417	98	22	0	15	41	101	6	1	1	235	312	396	708	161	271	22	9	315	98	-1	-0	-9	-5	+10	-0.5
2022	24	MLB MLE	Chicago White Sox	—	555	510	138	28	1	17	31	96	9	0	0	271	324	429	753	159	301	17	6	331	110	+7	+0	-21	-6	+12	-0.9
2022	24	MLB RAW	Chicago White Sox	—	555	510	138	28	1	17	31	96	9	0	0	271	324	429	753	159	301	17	6	332	110	+7	+0	-21	-6	+12	-0.9
2023	25	MLB MLE	Chicago White Sox	—	615	566	146	30	2	21	36	129	11	0	0	258	315	429	744	171	299	21	6	328	108	+6	+0	-10	-11	+13	-0.2
2023	25	MLB RAW	Chicago White Sox	—	615	566	146	30	2	21	36	129	11	0	0	258	315	429	744	171	299	21	6	330	108	+6	+0	-10	-11	+13	-0.2
2024	26	MLB MLE	Chicago White Sox	—	619	570	140	30	1	19	38	132	6	2	0	246	300	402	701	156	285	21	6	309	95	-4	+0	-11	-11	+13	-1.3
2024	26	MLB RAW	Chicago White Sox	—	619	570	140	30	1	19	38	132	6	2	0	246	300	402	701	156	285	21	6	310	95	-4	+0	-11	-11	+13	-1.3
2025	27	MLB MLE	2 teams	—	579	526	129	28	1	17	43	107	3	0	0	245	306	399	705	154	275	18	7	308	95	-3	+0	-3	-10	+13	-0.4
2025	27	MLB RAW	2 teams	—	579	521	130	27	1	19	48	103	3	0	0	250	316	415	731	165	274	18	8	322	95	-3	+0	-3	-10	+13	-0.4
2026	28	MLB MLE	Milwaukee Brewers	—	331	289	89	19	2	6	34	53	6	0	0	308	392	450	842	142	358	16	10	376	141	+16	+0	+0	-6	+7	1.8
2026	28	MLB RAW	Milwaukee Brewers	—	331	288	88	18	2	6	35	53	6	0	0	306	392	444	837	139	355	16	11	374	141	+16	+0	+0	-6	+7	1.8
2019	21	A+ MLE	3 teams	—	245	217	49	13	0	5	19	54	7	0	1	226	310	355	665	129	267	22	8	293	85	—	—	—	—	—	—
2021	23	MLB MLE	Chicago White Sox	—	469	419	98	22	0	15	41	101	6	1	1	234	312	394	706	160	271	22	9	313	98	—	—	—	—	—	—
2022	24	MLB MLE	Chicago White Sox	—	555	510	138	28	1	17	31	96	9	0	0	271	324	429	753	159	301	17	6	331	110	—	—	—	—	—	—
2023	25	MLB MLE	Chicago White Sox	—	615	563	146	30	2	21	36	129	11	0	0	259	315	432	746	172	299	21	6	328	108	—	—	—	—	—	—
2024	26	MLB MLE	Chicago White Sox	—	619	570	140	30	1	19	38	132	6	2	0	246	300	402	701	156	285	21	6	309	95	—	—	—	—	—	—
2025	27	MLB MLE	2 teams	—	579	528	129	28	1	17	43	107	3	0	0	244	306	398	704	153	271	18	7	308	95	—	—	—	—	—	—
2026	28	MLB MLE	Milwaukee Brewers	—	331	288	89	19	2	6	34	53	6	0	0	309	392	451	843	142	355	16	10	376	141	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	MLB MLE	Chicago White Sox	—	619	570	140	30	1	19	38	132	6	2	0	246	300	402	701	156	285	21	6	309	95	—	—	—	—	—	—
2025	27	MLB MLE	2 teams	—	579	528	129	28	1	17	43	107	3	0	0	244	306	398	704	153	271	18	7	308	95	—	—	—	—	—	—
2026	28	MLB MLE	Milwaukee Brewers	—	331	288	89	19	2	6	34	53	6	0	0	309	392	451	843	142	355	16	10	376	141	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	29	MLB MLE	MIL	100%	441	393	102	22	2	11	39	78	6	1	0	259	335	411	745	151	295	18	9	332	111	+6	+0	+1	-8	+10	0.7
▸ 2027 — real world (MLB)
2027	29	MLB CTX	MIL	100%	349	310	79	16	1	9	31	62	5	1	0	256	332	408	740	152	290	18	9	330	111	+4	+0	+1	-6	+8	0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	30	MLB MLE	MIL	100%	513	456	117	25	2	13	45	93	7	0	0	255	330	401	731	146	292	18	9	326	107	+4	+0	-1	-9	+11	0.5
2029	31	MLB MLE	MIL	100%	499	447	112	24	2	12	43	92	6	0	0	250	324	389	713	139	288	18	9	319	102	+1	+0	-2	-9	+11	0.1
2030	32	MLB MLE	MIL	100%	486	436	105	22	1	11	41	92	6	0	0	243	317	373	690	131	282	19	8	310	96	-3	+0	-3	-9	+11	-0.3
2028	30	MLB CTX	MIL	100%	513	456	115	23	2	13	45	93	7	0	0	252	328	398	726	146	287	18	9	324	107	+4	+0	-1	-9	+11	0.5
2029	31	MLB CTX	MIL	100%	499	447	110	22	2	12	43	92	6	0	0	247	322	386	708	140	283	18	9	317	102	+1	+0	-2	-9	+11	0.1
2030	32	MLB CTX	MIL	100%	486	436	104	21	1	11	41	92	6	0	0	240	314	371	684	131	277	19	8	307	96	-3	+0	-3	-9	+11	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4534	4096	1042	216	11	128	341	868	60	3	1	254	321	406	727	152	292	19	8	323	104	+30	+0	-60	-76	+98	-0.8
/ 162G	—	A+C		—	650	587	149	31	2	18	49	124	9	0	0	254	321	405	727	152	291	19	8	323	104	+4	+0	-9	-11	+14	-0.1
Career	—	MLE		—	5260	4743	1203	258	13	145	402	1011	72	4	2	254	321	405	727	152	292	19	8	321	104	+34	+0	-59	-82	+106	-0.1
/ 162G	—	MLE		—	650	586	149	32	2	18	50	125	9	0	0	254	323	408	731	154	292	19	8	321	104	+5	+0	-8	-11	+14	-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.

2025 AAANashville Sounds · 132 PAwOBA .330 → .272 (−59)K% 17.4% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.42%	÷1.010	×1.200	—	—	20.69%
BB% (unintentional) /PA	12.88%	÷1.000	×0.690	—	×1.003	8.91%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	17.39%	÷0.983	×0.930	×1.036	×1.003	17.11%
Doubles /BIP	5.43%	÷0.973	×0.830	×1.036	×1.003	4.82%
Triples /BIP	1.09%	÷0.900	×0.970	×1.036	×1.003	1.22%
Home runs /BIP	5.43%	÷1.111	×0.700	—	×1.003	3.43%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 97, 2B 95, 3B 80, K 102, BB 100 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .330 → .272; ISO .191 → .142; BABIP .253 → .240. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 A+Winston-Salem Dash · 126 PAwOBA .337 → .270 (−67)K% 13.5% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.49%	÷0.972	×1.420	—	—	19.71%
BB% (unintentional) /PA	12.70%	÷0.997	×0.630	—	×1.027	8.24%
HBP% /PA	0.79%	—	×0.860	—	×1.027	0.70%
Singles /BIP	17.78%	÷0.991	×0.940	×0.950	×1.027	16.45%
Doubles /BIP	8.89%	÷1.054	×0.830	×0.950	×1.027	6.83%
Triples /BIP	0.00%	÷1.150	×0.800	×0.950	×1.027	0.00%
Home runs /BIP	3.33%	÷1.113	×0.900	—	×1.027	2.77%

Factors used: league row CAR. Park (home-season share, regressed): HR 122, 1B 98, 2B 111, 3B 130, K 94, BB 99 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .337 → .270; ISO .159 → .127; BABIP .270 → .234. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AKannapolis Intimidators · 103 PAwOBA .358 → .295 (−64)K% 17.5% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.48%	÷0.982	×1.340	—	—	23.84%
BB% (unintentional) /PA	13.59%	÷1.031	×0.660	—	×1.015	8.83%
HBP% /PA	4.85%	—	×0.770	—	×1.015	3.79%
Singles /BIP	18.46%	÷0.998	×0.920	—	×1.015	17.28%
Doubles /BIP	10.77%	÷1.038	×0.820	—	×1.015	8.64%
Triples /BIP	0.00%	÷0.969	×0.940	—	×1.015	0.00%
Home runs /BIP	3.08%	÷0.849	×0.820	—	×1.015	3.02%

Factors used: league row SAL. Park (home-season share, regressed): HR 70, 1B 100, 2B 108, 3B 94, K 96, BB 106 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).

Result: wOBA .358 → .295; ISO .157 → .140; BABIP .297 → .263. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 ROKACL White Sox · 16 PAwOBA .656 → .465 (−191)K% 18.8% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.000	×1.440	—	—	27.00%
BB% (unintentional) /PA	0.00%	÷1.000	×0.620	—	×0.985	0.00%
HBP% /PA	6.25%	—	×0.720	—	×0.985	4.43%
Singles /BIP	50.00%	÷1.000	×0.820	—	×0.985	40.38%
Doubles /BIP	16.67%	÷1.000	×0.720	—	×0.985	11.82%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	8.33%	÷1.000	×0.780	—	×0.985	6.40%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .656 → .465; ISO .333 → .227; BABIP .727 → .558. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam LaRochelast yr '15 career totals — 12 seasons, 6,329 PA	9.5	6,329	255	13	260	336	462	-113	-125	10.8	12.1
/162	664	27	1	-11.9	-13.1	1.1	pk7: 13
#2Lyle Overbaylast yr '14 career totals — 12 seasons, 5,790 PA	8.7	5,790	151	19	266	348	429	-103	-102	8.8	10.3
/162	664	17	2	-11.9	-11.7	1.0	pk7: 12
#3Sean Casey'97-'08 * career totals — 11 seasons, 5,644 PA	8.5	5,644	130	18	290*	352*	433*	-102	-82	8.5	9.4
/162	664	15	2	-12.0	-9.6	1.0	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.4	4,883	136	5	257	320	410	-87	-115	7.3	7.0
/162	664	18	1	-11.9	-15.6	1.0	pk7: 7
#4Greg Walker'82-'90 * career totals — 7 seasons, 3,177 PA	4.8	3,177	113	19	257*	326*	467*	-59	-36	4.1	5.0
/162	664	24	4	-12.4	-7.5	0.9	pk7: 6
#5Logan Morrisonlast yr '18 career totals — 9 seasons, 3,713 PA	5.6	3,713	137	23	239	325	427	-58	-79	1.7	2.6
/162	664	24	4	-10.4	-14.1	0.3	pk7: 3
#6Ricky Jordan'88-'96 * career totals — 7 seasons, 2,221 PA	3.3	2,221	55	10	280*	309*	455*	-39	-39	-1.1	-0.4
/162	664	16	3	-11.8	-11.6	-0.3	pk7: 0

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Andrew Vaughn (OGILVIE)	29	55	55	40	45	257/332/407	150	295	9	1	18%	9%	111	+1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Rangel Ravelo 2020 · MLB	28	50→58	48→50	40→45	48	249/314/393	143	291	16	2	20%	7%	100	+1.3	260/330/428	168	294	20	6	18%	8%	114	+2.4	299/389/453	154	334	18	0	15%	11%	141	+1.3
✕Ryan Garko 2010 · MLB	29	54→57	50→55	44→30	51	270/343/423	153	291	18	2	15%	7%	118	+2.6	222/291/345	123	254	15	3	19%	7%	81	-0.1	198/265/297	99	234	13	1	21%	7%	58	-1.0
✕Robbie Tenerowicz 2024 · AAA	29	48→51	49→50	40→45	46	238/322/383	144	287	16	4	22%	7%	102	+1.5	222/310/348	126	270	14	6	23%	6%	90	+0.6	194/293/301	106	238	13	4	23%	5%	73	-0.5
✕Dustan Mohr 2005 · MLB	29	53	49→55	41→45	53	258/340/414	156	317	15	6	23%	10%	115	+2.4	217/288/394	177	298	21	4	33%	8%	91	+0.7	188/249/365	177	266	22	2	37%	7%	70	-0.4
✕Austin Hays 2024 · MLB	29	51→54	51→60	44→45	45	257/310/424	167	307	18	5	22%	6%	106	+1.8	254/303/413	159	317	18	7	25%	6%	101	+1.4	250/295/406	155	313	18	6	25%	5%	96	+0.5
✕Trevor Plouffe 2015 · MLB	29	50→54	50→60	43→45	50	252/316/415	163	290	17	3	20%	8%	106	+1.8	244/304/409	165	283	19	3	20%	8%	100	+1.3	234/295/395	162	270	20	2	21%	7%	94	+0.7
●Wes Helms 2006 · MLB	30	54→49	48→55	38→30	49	266/332/414	148	313	16	3	20%	8%	112	+2.2	267/327/425	158	319	15	3	20%	7%	112	+2.2	263/321/412	150	318	14	0	21%	6%	108	+0.9
●Wil Cordero 2001 · MLB	29	53→55	52→55	43→30	49	269/321/450	181	290	18	4	15%	6%	116	+2.5	261/323/411	150	294	16	4	16%	8%	107	+1.9	261/330/405	144	298	16	2	17%	8%	110	+1.1
●Lourdes Gurriel Jr. 2023 · MLB	29	57→61	48→60	38→45	47	280/328/430	150	322	15	4	18%	6%	114	+2.3	263/310/431	168	291	21	7	17%	6%	108	+1.9	255/303/429	174	274	23	8	17%	5%	106	+1.6
✕Shane Spencer 2001 · MLB	29	52→50	52→50	44→45	50	264/321/434	169	290	19	6	17%	7%	112	+2.2	252/318/406	154	291	17	5	19%	8%	104	+1.6	247/319/390	143	289	15	3	19%	9%	102	+0.9
●Connor Joe 2022 · MLB	29	48→51	52→50	45	55	246/336/415	169	291	20	4	22%	11%	114	+2.4	239/330/385	146	295	14	6	22%	11%	105	+1.7	233/329/375	143	289	12	5	22%	11%	103	+1.2
✕Nick Evans 2015 · MLB	29	46→56	50→55	41→40	46	236/293/394	158	281	18	3	23%	7%	93	+0.8	243/299/375	132	310	14	4	25%	7%	90	+0.6	245/301/361	116	316	13	0	25%	7%	84	+0.1
✕Robert Fick 2003 · MLB	29	52→54	52→55	37→40	51	265/326/436	171	285	19	2	15%	8%	114	+2.4	252/317/396	144	270	15	3	13%	8%	102	+1.5	247/317/376	130	263	13	1	12%	9%	98	+0.7
✕Harold Ramírez 2024 · MLB	29	59→65	46→50	42→50	44	290/334/425	135	334	14	7	17%	5%	115	+2.4	259/302/362	103	319	10	11	21%	5%	88	+0.4	251/283/305	54	323	3	12	22%	3%	65	-0.7
✕Tyler White 2021 · MLB	30	49→57	49→60	44→40	54	244/331/401	157	298	16	4	23%	11%	108	+1.9	214/304/340	126	264	13	5	23%	11%	85	+0.2	199/294/317	117	243	13	4	22%	11%	74	-0.3
✕Gaby Sanchez 2013 · MLB	29	51→56	50→55	45	54	254/328/412	158	281	17	4	16%	9%	109	+2.0	240/321/392	152	275	16	5	18%	10%	103	+1.5	236/326/388	152	270	15	3	18%	11%	105	+0.8
●Darin Ruf 2015 · MLB	29	47→53	50→60	44→40	46	237/308/391	154	303	17	3	27%	8%	98	+1.2	234/290/396	162	281	21	3	24%	6%	93	+0.8	252/326/465	213	299	29	2	25%	9%	121	+1.4
✕Luis Montanez 2010 · MLB	28	54→58	50	44→45	45	271/315/426	155	303	17	6	17%	5%	108	+1.9	238/286/348	110	276	9	7	17%	6%	79	-0.2	228/283/314	86	267	6	4	16%	6%	68	-0.6
✕Josh Satin 2014 · MLB	29	54→59	46→45	37→40	52	259/337/392	133	336	12	3	25%	10%	108	+1.9	229/303/341	112	294	10	4	24%	9%	84	+0.1	218/293/319	100	278	8	1	23%	9%	74	-0.4
●Casey McGehee 2012 · MLB	29	51→61	49→55	35→40	49	254/307/405	151	281	17	2	17%	7%	100	+1.3	246/308/368	122	286	12	4	18%	8%	92	+0.7	255/320/349	94	302	7	3	17%	9%	92	+0.6

Andrew Vaughn

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps