Ronald Acuña Jr.

RF Atlanta Braves

Age 29 R/R 6'0" / 205 lbs MLB Svc 8.924 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	26	MLBATL	222	.250/.351/.365	4	16	108	0.4
2025	27	AAA/INTL2 orgs	90	.369/.539/.662	5	11	213	—	.333/.474/.667
2025	27	MLBATL	412	.290/.417/.518	21	9	161	2.6
2026	28	MLBATL	469	.255/.348/.451	20	21	123	1.8
2027PROJ	29	MLBATL	492	.275/.371/.476	21	19	139	2.8
2028PROJ	30	MLBATL	320	.271/.368/.469	14	10	136	1.5
2029PROJ	31	MLBATL	301	.268/.364/.460	13	7	133	1.2

Last 3 seasons WAR 4.8 · Next 3 projected WAR 5.5Projected rows: MLB playing time only, park and league context applied.

ContractCONFIRMED

Control thru2027Service8.924First FA2028Options2

2027Ext / FA-deal$24M

Skills · percentileStatcast 2024-2026

xwOBA90

Bat Spd90

Barrel%84

Avg EV82

Speed43

Form.296/.374/.522 ▲▲ rolling true talent (60d window) · proj .275/.369/.476

CompsJayson Werth (age 30) · Mike Cameron (age 29) · Curtis Granderson (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 140139vR 136

AVG/OBP/SLG.275 / .371 / .476

PA492

HR21

SB19

K%23

BB%12

BABIP322

ISO196

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

620.261

POWER

Barrel%

8413.3

Avg EV

8291.3

Bat Spd

9075.7

SPEED

Sprint

4327.2

Recent Formrolling true talent ⓘ

K%19%▲▲17% over 108 PA (60d) · proj 22%

BB%10%▼▼8% over 108 PA (60d) · proj 12%

ISO.226▲.265 over 98 AB (60d) · proj .202

HR/BB7.6%▲8.6% over 81 BBE (60d) · proj 6.7%

BABIP.322·.324 over 74 BIP (60d) · proj .322

SLASH.296/.374/.522▲▲proj .275/.369/.476

Platoon Splits2024-2026 · 757 PA

vs LHP

vs RHP

Edge

214

543

—

wRC+

127

139

▶R

wOBA

357

374

▶R

ISO

171

180

▶R

BABIP

327

339

▶R

25.2%

22.7%

▶R

BB%

16.8%

13.4%

◀◀L

Contract CONFIRMED · hand-curated extension

Status FA

MLB Debut 2018

Service 8.924 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$24M	+3.1	$29M	+$5M
Totals		$24M		$29M	+$5M

Options · projected decision
2027	CLUB OPT	$17.0M / $2.0M buyout	EXERCISE
2028	CLUB OPT	$17.0M / $2.0M buyout	DECLINE

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)
2015	17	ROK	Danville Braves	—	237	201	54	14	4	4	28	42	8	16	4	269	380	438	818	169	323	18	12	368	70	—	—	—	—	—	—
2016	18	A	Rome Braves	—	171	148	46	2	2	4	18	28	1	14	7	311	389	432	822	122	359	16	11	361	99	—	—	—	—	—	—
2016	18	INTL	Melbourne Aces	—	83	72	27	5	1	2	10	13	0	13	3	375	451	556	1.007	181	431	16	12	438	183	—	—	—	—	—	—
2017	19	AAA	Gwinnett Braves	—	243	221	76	14	2	9	17	48	2	11	6	344	396	548	943	204	404	20	7	409	131	—	—	—	—	—	—
2017	19	AA	Mississippi Braves	—	243	221	72	14	1	9	18	56	1	19	11	326	379	520	900	195	396	23	7	391	111	—	—	—	—	—	—
2017	19	A+	Florida Fire Frogs	—	126	115	33	3	5	3	8	40	1	14	3	287	339	478	817	191	411	32	6	352	53	—	—	—	—	—	—
2017	19	INTL	Peoria Javelinas	—	99	83	27	5	0	7	12	22	2	2	1	325	423	639	1.061	313	357	22	12	449	190	—	—	—	—	—	—
2018	20	MLB	Atlanta Braves	—	487	433	127	26	4	26	45	123	6	16	5	293	368	552	920	259	352	25	9	398	154	+31	+1	+1	-6	+11	3.9
2018	20	AAA	Gwinnett Stripers	—	101	90	19	2	0	1	11	25	0	5	1	211	297	267	564	56	281	25	11	265	34	—	—	—	—	—	—
2019	21	MLB	Atlanta Braves	—	715	626	175	22	2	41	76	188	9	37	9	280	364	518	882	238	337	26	11	386	145	+38	+4	-1	+3	+15	6.0
2020	22	MLB	Atlanta Braves	—	202	160	40	11	0	14	38	60	4	8	1	250	406	581	987	331	302	30	19	427	171	+17	+1	+0	+1	+4	2.4
2021	23	MLB	Atlanta Braves	—	360	297	84	19	1	24	49	85	9	17	6	283	400	596	996	313	311	24	14	425	171	+30	+1	+2	-4	+8	3.8
2022	24	MLB	Atlanta Braves	—	533	467	124	24	0	15	53	126	10	29	11	266	353	413	766	148	331	24	10	344	115	+10	+1	-5	-6	+12	1.1
2022	24	AAA	Gwinnett Stripers	—	25	19	7	1	0	0	6	6	0	3	0	368	520	421	941	53	538	24	24	436	144	—	—	—	—	—	—
2022	24	INTL	Tiburones de La Guaira	—	39	34	15	1	0	2	3	8	2	0	0	441	513	647	1.160	206	542	21	8	509	231	—	—	—	—	—	—
2023	25	MLB	Atlanta Braves	—	735	643	217	35	4	41	80	84	9	73	14	337	418	596	1.014	258	338	11	11	440	182	+71	+9	-7	-9	+16	8.3
2023	25	INTL	Tiburones de La Guaira	—	104	79	30	6	1	7	22	19	3	6	1	380	529	747	1.276	367	434	18	21	538	250	—	—	—	—	—	—
2024	26	MLB	Atlanta Braves	—	222	192	48	8	1	4	27	53	3	16	3	250	351	365	716	115	326	24	12	329	108	+2	+2	-2	-2	+5	0.4
2025	27	MLB	Atlanta Braves	—	412	338	98	12	1	21	71	102	3	9	1	290	417	518	935	228	358	25	17	414	161	+30	+1	-10	-5	+9	2.6
2025	27	AAA	Gwinnett Stripers	—	19	12	5	2	0	1	7	2	0	0	0	417	632	833	1.465	417	444	11	37	597	204	—	—	—	—	—	—
2025	27	INTL	Tiburones de La Guaira	—	71	53	19	2	0	4	16	6	1	11	0	358	514	623	1.137	264	341	8	23	487	215	—	—	—	—	—	—
2026	28	MLB	Atlanta Braves	—	469	408	104	18	1	20	53	103	5	21	8	255	348	451	799	196	292	22	11	354	123	+13	+1	-2	-5	+10	1.8
2026	28	AAA	Gwinnett Stripers	—	24	19	5	0	0	0	4	4	0	1	0	263	391	263	654		312	17	17	305	71	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4135	3564	1017	175	14	206	492	924	58	226	58	285	381	516	896	230	331	22	12	393	152	+256	+22	-23	-35	+90	31.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	17	ROK MLE	Danville Braves	—	237	211	43	10	3	3	18	60	8	16	4	204	291	322	613	118	267	25	8	272	70	—	—	—	—	—	—
2016	18	A MLE	Rome Braves	—	171	154	45	2	2	4	12	39	1	14	7	292	347	409	756	117	348	23	7	315	99	—	—	—	—	—	—
2017	19	AAA MLE	Gwinnett Braves	—	243	226	71	13	2	8	12	58	2	11	6	314	354	496	850	181	382	24	5	362	131	—	—	—	—	—	—
2017	19	AA MLE	Mississippi Braves	—	243	226	64	13	1	8	13	70	1	19	11	283	325	456	781	173	363	29	5	332	111	—	—	—	—	—	—
2017	19	A+ MLE	Florida Fire Frogs	—	126	117	23	2	3	2	6	59	1	14	3	197	242	316	558	120	361	47	5	247	53	—	—	—	—	—	—
2018	20	MLB MLE	Atlanta Braves	—	487	435	127	26	4	26	43	123	6	16	5	292	364	549	913	257	352	25	9	396	154	+31	+1	+1	-6	+11	3.9
2018	20	AAA MLE	Gwinnett Stripers	—	101	93	17	2	0	1	8	32	0	5	1	183	248	237	484	54	263	32	8	218	34	—	—	—	—	—	—
2019	21	MLB MLE	Atlanta Braves	—	715	633	175	22	2	41	72	188	9	37	9	276	359	512	870	235	337	26	10	382	145	+38	+4	-1	+3	+15	6.0
2020	22	MLB MLE	Atlanta Braves	—	202	162	40	11	0	14	36	60	4	8	1	247	396	574	970	327	302	30	18	420	171	+17	+1	+0	+1	+4	2.4
2021	23	MLB MLE	Atlanta Braves	—	360	299	84	19	1	24	47	85	9	17	6	281	394	592	986	311	311	24	13	421	171	+30	+1	+2	-4	+8	3.8
2022	24	MLB MLE	Atlanta Braves	—	533	471	124	24	0	15	49	126	10	29	11	263	345	410	755	146	331	24	9	339	115	+10	+1	-5	-6	+12	1.1
2022	24	AAA MLE	Gwinnett Stripers	—	25	21	7	1	0	0	4	7	0	3	0	333	440	381	821	48	504	28	16	381	144	—	—	—	—	—	—
2023	25	MLB MLE	Atlanta Braves	—	735	646	217	35	4	41	77	84	9	73	14	336	414	593	1.007	257	338	11	10	437	182	+71	+9	-7	-9	+16	8.3
2024	26	MLB MLE	Atlanta Braves	—	222	192	48	8	1	4	27	53	3	16	3	250	351	365	716	115	326	24	12	329	108	+2	+2	-2	-2	+5	0.4
2025	27	MLB MLE	Atlanta Braves	—	412	342	98	12	1	21	67	102	3	9	1	287	408	512	919	225	358	25	16	407	161	+30	+1	-10	-5	+9	2.6
2025	27	AAA MLE	Gwinnett Stripers	—	19	15	5	2	0	1	4	2	0	0	0	333	474	667	1.140	333	358	11	21	470	204	—	—	—	—	—	—
2026	28	MLB MLE	Atlanta Braves	—	469	410	104	18	1	20	51	103	5	21	8	254	343	449	792	195	292	22	11	351	123	+13	+1	-2	-5	+10	1.8
2026	28	AAA MLE	Gwinnett Stripers	—	24	20	5	0	0	0	3	5	0	1	0	250	348	250	598		287	21	12	273	71	—	—	—	—	—	—
2015	17	ROK MLE	Danville Braves	—	237	211	43	10	3	3	18	60	8	16	4	204	291	322	613	118	270	25	8	272	70	—	—	—	—	—	—
2015	17	ROK RAW	Danville Braves	—	237	201	54	14	4	4	28	42	8	16	4	269	380	438	818	169	323	18	12	368	70	—	—	—	—	—	—
2016	18	A MLE	2 teams	—	254	230	66	3	3	5	18	58	1	27	10	287	341	391	733	104	361	23	7	315	99	—	—	—	—	—	—
2016	18	A RAW	2 teams	—	254	220	73	7	3	6	28	41	1	27	10	332	410	473	882	141	383	16	11	386	99	—	—	—	—	—	—
2017	19	AAA MLE	4 teams	—	711	659	183	32	6	21	36	218	6	46	21	278	321	440	761	162	379	31	5	326	107	—	—	—	—	—	—
2017	19	AAA RAW	4 teams	—	711	640	208	36	8	28	55	166	6	46	21	325	384	537	921	212	396	23	8	398	107	—	—	—	—	—	—
2018	20	MLB MLE	2 teams	—	588	528	144	28	4	27	51	155	6	21	6	273	344	494	838	222	335	26	9	365	133	+23	+2	+1	-6	+13	3.4
2018	20	MLB RAW	2 teams	—	588	523	146	28	4	27	56	148	6	21	6	279	356	503	858	224	339	25	10	376	133	+23	+2	+1	-6	+13	3.4
2019	21	MLB MLE	Atlanta Braves	—	715	633	175	22	2	41	72	188	9	37	9	276	359	512	870	235	331	26	10	382	145	+38	+4	-1	+3	+15	6.0
2019	21	MLB RAW	Atlanta Braves	—	715	626	175	22	2	41	76	188	9	37	9	280	364	518	882	238	337	26	11	386	145	+38	+4	-1	+3	+15	6.0
2020	22	MLB MLE	Atlanta Braves	—	202	162	40	11	0	14	36	60	4	8	1	247	396	574	970	327	295	30	18	420	171	+17	+1	+0	+1	+4	2.4
2020	22	MLB RAW	Atlanta Braves	—	202	160	40	11	0	14	38	60	4	8	1	250	406	581	987	331	302	30	19	427	171	+17	+1	+0	+1	+4	2.4
2021	23	MLB MLE	Atlanta Braves	—	360	299	84	19	1	24	47	85	9	17	6	281	394	592	986	311	308	24	13	421	171	+30	+1	+2	-4	+8	3.8
2021	23	MLB RAW	Atlanta Braves	—	360	297	84	19	1	24	49	85	9	17	6	283	400	596	996	313	311	24	14	425	171	+30	+1	+2	-4	+8	3.8
2022	24	MLB MLE	3 teams	—	597	526	141	27	0	16	56	142	12	32	11	268	352	411	762	143	337	24	9	341	117	+12	+2	-5	-6	+13	1.5
2022	24	MLB RAW	3 teams	—	597	520	146	26	0	17	62	140	12	32	11	281	370	429	799	148	352	23	10	359	117	+12	+2	-5	-6	+13	1.5
2023	25	MLB MLE	2 teams	—	839	736	248	40	5	47	88	96	12	79	15	337	416	596	1.013	260	337	11	10	437	182	+82	+10	-7	-9	+18	9.6
2023	25	MLB RAW	2 teams	—	839	722	247	41	5	48	102	103	12	79	15	342	432	612	1.044	270	347	12	12	452	182	+82	+10	-7	-9	+18	9.6
2024	26	MLB MLE	Atlanta Braves	—	222	192	48	8	1	4	27	53	3	16	3	250	351	365	716	115	326	24	12	329	108	+2	+2	-2	-2	+5	0.4
2024	26	MLB RAW	Atlanta Braves	—	222	192	48	8	1	4	27	53	3	16	3	250	351	365	716	115	326	24	12	329	108	+2	+2	-2	-2	+5	0.4
2025	27	MLB MLE	3 teams	—	502	414	119	16	1	25	83	122	4	20	1	287	411	512	923	225	351	24	17	410	163	+38	+4	-10	-5	+11	3.8
2025	27	MLB RAW	3 teams	—	502	403	122	16	1	26	94	110	4	20	1	303	439	541	980	238	358	22	19	431	163	+38	+4	-10	-5	+11	3.8
2026	28	MLB MLE	2 teams	—	493	430	109	18	1	20	54	108	5	22	8	253	344	440	783	186	291	22	11	347	121	+12	+1	-2	-5	+11	1.8
2026	28	MLB RAW	2 teams	—	493	427	109	18	1	20	57	107	5	22	8	255	350	443	792	187	293	22	12	351	121	+12	+1	-2	-5	+11	1.8
2015	17	ROK MLE	Danville Braves	—	237	209	43	10	3	3	18	60	8	16	4	206	291	325	616	120	267	25	8	272	70	—	—	—	—	—	—
2016	18	A MLE	2 teams	—	254	233	66	3	3	5	18	58	1	27	10	283	341	386	728	103	348	23	7	315	99	—	—	—	—	—	—
2017	19	AAA MLE	4 teams	—	711	663	183	32	6	21	36	218	6	46	21	276	321	437	758	161	370	31	5	326	107	—	—	—	—	—	—
2018	20	MLB MLE	2 teams	—	588	526	144	28	4	27	51	155	6	21	6	274	344	496	840	222	337	26	9	365	133	—	—	—	—	—	—
2019	21	MLB MLE	Atlanta Braves	—	715	628	175	22	2	41	72	188	9	37	9	279	359	516	874	237	337	26	10	382	145	—	—	—	—	—	—
2020	22	MLB MLE	Atlanta Braves	—	202	160	40	11	0	14	36	60	4	8	1	250	396	581	977	331	302	30	18	420	171	—	—	—	—	—	—
2021	23	MLB MLE	Atlanta Braves	—	360	301	84	19	1	24	47	85	9	17	6	279	394	588	982	309	311	24	13	421	171	—	—	—	—	—	—
2022	24	MLB MLE	3 teams	—	597	524	141	27	0	16	56	142	12	32	11	269	352	412	764	143	339	24	9	341	117	—	—	—	—	—	—
2023	25	MLB MLE	2 teams	—	839	732	248	40	5	47	88	96	12	79	15	339	416	600	1.016	261	338	11	10	437	182	—	—	—	—	—	—
2024	26	MLB MLE	Atlanta Braves	—	222	190	48	8	1	4	27	53	3	16	3	253	351	368	720	116	326	24	12	329	108	—	—	—	—	—	—
2025	27	MLB MLE	3 teams	—	502	410	119	16	1	25	83	122	4	20	1	290	411	517	928	227	358	24	17	410	163	—	—	—	—	—	—
2026	28	MLB MLE	2 teams	—	493	431	109	18	1	20	54	108	5	22	8	253	344	439	782	186	291	22	11	347	121	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	MLB MLE	Atlanta Braves	—	222	190	48	8	1	4	27	53	3	16	3	253	351	368	720	116	326	24	12	329	108	—	—	—	—	—	—
2025	27	MLB MLE	3 teams	—	502	410	119	16	1	25	83	122	4	20	1	290	411	517	928	227	358	24	17	410	163	—	—	—	—	—	—
2026	28	MLB MLE	2 teams	—	493	431	109	18	1	20	54	108	5	22	8	253	344	439	782	186	291	22	11	347	121	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	29	MLB MLE	ATL	100%	427	368	100	16	1	18	52	96	4	16	4	275	371	476	848	201	322	22	12	374	139	+20	+2	-2	-5	+9	3.1
▸ 2027 — real world (MLB)
2027	29	MLB CTX	ATL	100%	492	424	115	18	1	21	60	111	5	19	5	275	371	476	848	201	322	23	12	374	139	+23	+2	-2	-5	+11	2.8
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	30	MLB MLE	ATL	100%	320	275	76	12	1	14	39	73	3	10	3	271	368	469	836	197	319	23	12	369	136	+14	+1	-3	-3	+7	1.5
2029	31	MLB MLE	ATL	100%	301	259	70	11	1	13	36	69	3	7	2	268	364	460	824	193	316	23	12	364	133	+12	+1	-4	-3	+7	1.2
2030	32	MLB MLE	ATL	100%	278	241	64	10	1	11	33	65	2	5	2	263	358	449	807	186	312	23	12	358	128	+9	+0	-5	-3	+6	0.8
2031	33	MLB MLE	ATL	100%	254	220	56	8	0	10	30	60	2	2	1	256	352	434	786	178	306	24	12	349	123	+7	+0	-5	-3	+6	0.4
2032	34	MLB MLE	ATL	100%	229	198	49	7	0	9	27	55	2	1	1	248	343	416	760	168	298	24	12	339	116	+4	-0	-6	-2	+5	0.1
2028	30	MLB CTX	ATL	100%	320	275	76	12	1	14	39	73	3	10	3	271	368	469	836	197	319	23	12	369	136	+14	+1	-3	-3	+7	1.5
2029	31	MLB CTX	ATL	100%	301	259	70	11	1	13	36	69	3	7	2	268	364	460	824	193	316	23	12	364	133	+12	+1	-4	-3	+7	1.2
2030	32	MLB CTX	ATL	100%	278	241	64	10	1	11	33	65	2	5	2	263	358	449	807	186	312	23	12	358	128	+9	+0	-5	-3	+6	0.8
2031	33	MLB CTX	ATL	100%	254	220	56	8	0	10	30	60	2	2	1	256	352	434	786	178	306	24	12	349	123	+7	+0	-5	-3	+6	0.4
2032	34	MLB CTX	ATL	100%	229	198	49	7	0	9	27	55	2	1	1	248	343	416	760	168	298	24	12	339	116	+4	-0	-6	-2	+5	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5517	4757	1332	223	17	263	657	1246	70	251	67	280	375	500	875	220	327	23	12	384	135	+302	+23	-47	-50	+120	35.5
/ 162G	—	A+C		—	650	560	157	26	2	31	77	147	8	30	8	280	375	500	875	220	327	23	12	384	135	+36	+3	-6	-6	+14	4.2
Career	—	MLE		—	7594	6637	1830	300	31	325	811	1778	96	385	109	276	363	477	840	201	329	23	11	368	135	+325	+25	-49	-55	+130	38.4
/ 162G	—	MLE		—	650	568	157	26	3	28	69	152	8	33	9	276	362	481	843	204	330	23	11	368	135	+35	+3	-5	-6	+14	4.1

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 AAAGwinnett Stripers · 24 PAwOBA .311 → .273 (−38)K% 16.7% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.000	×1.200	—	—	20.00%
BB% (unintentional) /PA	16.67%	÷1.000	×0.690	—	×0.982	11.29%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	33.33%	÷1.000	×0.930	—	×0.982	30.44%
Doubles /BIP	0.00%	÷1.000	×0.830	—	×0.982	0.00%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.000	×0.700	—	×0.982	0.00%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .311 → .273; ISO .000 → .000; BABIP .312 → .287. 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).

2025 AAAGwinnett Stripers · 19 PAwOBA .583 → .470 (−113)K% 10.5% → 12.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷0.976	×1.200	—	—	12.94%
BB% (unintentional) /PA	36.84%	÷1.140	×0.690	—	×0.992	22.12%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.00%	÷0.968	×0.930	—	×0.992	19.06%
Doubles /BIP	20.00%	÷1.162	×0.830	—	×0.992	14.17%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.992	0.00%
Home runs /BIP	10.00%	÷0.961	×0.700	—	×0.992	7.22%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 94, 2B 132, 3B 80, K 95, BB 128 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .583 → .470; ISO .417 → .369; BABIP .444 → .358. 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).

2022 AAAGwinnett Stripers · 25 PAwOBA .416 → .381 (−35)K% 24.0% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷1.002	×1.200	—	—	28.75%
BB% (unintentional) /PA	20.00%	÷0.998	×0.690	—	×1.033	14.29%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	46.15%	÷1.018	×0.930	—	×1.033	43.58%
Doubles /BIP	7.69%	÷0.966	×0.830	—	×1.033	6.83%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.033	0.00%
Home runs /BIP	0.00%	÷0.981	×0.700	—	×1.033	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .416 → .381; ISO .053 → .051; BABIP .538 → .504. 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).

2018 AAAGwinnett Stripers · 101 PAwOBA .259 → .218 (−41)K% 24.8% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.75%	÷0.952	×1.200	—	—	31.21%
BB% (unintentional) /PA	10.89%	÷0.947	×0.690	—	×1.050	8.33%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	24.62%	÷1.010	×0.930	×0.980	×1.050	23.33%
Doubles /BIP	3.08%	÷0.995	×0.830	×0.980	×1.050	2.64%
Triples /BIP	0.00%	÷1.116	×0.970	×0.980	×1.050	0.00%
Home runs /BIP	1.54%	÷0.970	×0.840	—	×1.050	1.40%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 102, 2B 99, 3B 123, K 90, BB 89 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .259 → .218; ISO .056 → .046; BABIP .281 → .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).

2017 AAAGwinnett Braves · 243 PAwOBA .401 → .362 (−39)K% 19.8% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.75%	÷0.989	×1.200	—	—	23.97%
BB% (unintentional) /PA	7.00%	÷0.999	×0.690	—	×1.050	5.07%
HBP% /PA	0.82%	—	×0.940	—	×1.050	0.81%
Singles /BIP	29.48%	÷1.005	×0.930	×0.986	×1.050	28.25%
Doubles /BIP	8.09%	÷0.936	×0.830	×0.986	×1.050	7.43%
Triples /BIP	1.16%	÷1.005	×0.970	×0.986	×1.050	1.16%
Home runs /BIP	5.20%	÷0.972	×0.840	—	×1.050	4.72%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 87, 3B 101, K 98, BB 100 — applied at half strength. Age: age 20 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (7.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .401 → .362; ISO .204 → .184; BABIP .404 → .382. 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).

2017 AAMississippi Braves · 243 PAwOBA .385 → .332 (−53)K% 23.0% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.05%	÷0.970	×1.220	—	—	28.97%
BB% (unintentional) /PA	7.41%	÷0.989	×0.680	—	×1.050	5.35%
HBP% /PA	0.41%	—	×0.840	—	×1.050	0.36%
Singles /BIP	29.09%	÷1.026	×0.920	×0.965	×1.050	26.45%
Doubles /BIP	8.48%	÷0.951	×0.910	×0.965	×1.050	8.23%
Triples /BIP	0.61%	÷1.146	×0.880	×0.965	×1.050	0.47%
Home runs /BIP	5.45%	÷0.925	×0.800	—	×1.050	4.96%

Factors used: league row SL. Park (home-season share, regressed): HR 85, 1B 105, 2B 90, 3B 129, K 94, BB 98 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .385 → .332; ISO .195 → .173; BABIP .396 → .363. 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).

2017 A+Florida Fire Frogs · 126 PAwOBA .346 → .247 (−99)K% 31.7% → 46.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.75%	÷0.963	×1.420	—	—	46.79%
BB% (unintentional) /PA	6.35%	÷1.091	×0.750	—	×1.042	4.55%
HBP% /PA	0.79%	—	×0.930	—	×1.042	0.77%
Singles /BIP	29.33%	÷0.978	×0.920	×0.950	×1.042	27.32%
Doubles /BIP	4.00%	÷1.148	×0.960	×0.950	×1.042	3.31%
Triples /BIP	6.67%	÷1.150	×0.810	×0.950	×1.042	4.65%
Home runs /BIP	4.00%	÷0.929	×0.880	—	×1.042	3.95%

Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 96, 2B 130, 3B 130, K 93, BB 118 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .346 → .247; ISO .191 → .128; BABIP .411 → .361. 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).

2016 ARome Braves · 171 PAwOBA .354 → .315 (−39)K% 16.4% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.37%	÷0.961	×1.340	—	—	22.84%
BB% (unintentional) /PA	10.53%	÷1.050	×0.660	—	×1.045	6.91%
HBP% /PA	0.58%	—	×0.770	—	×1.045	0.47%
Singles /BIP	31.67%	÷1.036	×0.920	×1.050	×1.045	30.84%
Doubles /BIP	1.67%	÷0.953	×0.820	×1.050	×1.045	1.57%
Triples /BIP	1.67%	÷1.041	×0.940	×1.050	×1.045	1.65%
Home runs /BIP	3.33%	÷0.965	×0.820	—	×1.045	2.96%

Factors used: league row SAL. Park (home-season share, regressed): HR 93, 1B 107, 2B 90, 3B 108, K 92, BB 110 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .354 → .315; ISO .122 → .111; BABIP .359 → .348. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gary Sheffield'88-'09 * career totals — 22 seasons, 10,947 PA	16.5	10,947	509	253	282*	382*	512*	-98	-69	80.3	63.4
/162	664	31	15	-6.0	-4.2	4.9	pk7: 47
#2Bobby Abreu'96-'14 * AS×2GGSS career totals — 17 seasons, 10,081 PA	15.2	10,081	288	400	282*	383*	465*	-117	-32	61.4	50.5
/162	664	19	26	-7.7	-2.1	4.0	pk7: 40
#3Matt Hollidaylast yr '18 AS×7SS×4 career totals — 15 seasons, 7,981 PA	12.0	7,981	316	108	299	379	510	-89	-91	52.3	45.5
/162	664	26	9	-7.4	-7.5	4.4	pk7: 39
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 15 projected seasons	9.0	6,009	283	271	281	373	500	-64	-45	44.9	39.0
/162	664	31	30	-7.1	-4.9	5.0	pk7: 33
#4Darryl Strawberry'83-'99 * career totals — 16 seasons, 6,326 PA	9.5	6,326	335	221	255*	354*	534*	-73	-29	40.7	36.3
/162	664	35	23	-7.7	-3.0	4.3	pk7: 32
#5Carlos Gonzálezlast yr '19 career totals — 12 seasons, 5,551 PA	8.4	5,551	234	122	285	343	500	-50	-23	32.3	30.2
/162	664	28	15	-6.0	-2.7	3.9	pk7: 28
#6Yasiel Puiglast yr '19 career totals — 7 seasons, 3,376 PA	5.1	3,376	132	79	277	348	475	-36	-12	17.1	17.1
/162	664	26	16	-7.1	-2.3	3.4	pk7: 17

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
Ronald Acuña Jr. (OGILVIE)	29	—	—	—	—	273/368/472	199	322	21	19	22%	12%	139	+3.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
★Jayson Werth 2009 · MLB	30	54→62	57→60	58→55	56	272/363/471	199	332	25	19	25%	12%	136	+3.9	266/357/477	211	318	26	16	23%	12%	135	+3.9	300/388/474	174	348	19	10	18%	12%	146	+4.0
●Mike Cameron 2002 · MLB	29	52→53	54→60	58→55	55	261/350/451	190	312	21	26	23%	11%	126	+3.2	246/335/445	199	301	23	23	25%	11%	120	+2.8	248/335/455	208	302	23	20	25%	10%	123	+3.0
★Curtis Granderson 2010 · MLB	29	51→60	57→65	58→50	54	265/337/476	211	297	23	16	19%	10%	127	+3.3	246/329/472	226	281	28	15	23%	10%	124	+3.1	238/328/478	240	272	32	15	25%	11%	126	+3.4
●Carlos González 2014 · MLB	28	54→60	58→65	56→55	49	277/338/489	212	325	26	23	23%	8%	131	+3.6	259/311/469	210	300	27	9	23%	7%	117	+2.6	260/317/451	191	299	24	2	21%	7%	117	+2.5
●Trevor Story 2021 · MLB	28	53→54	59→65	55	48	273/337/495	222	331	26	24	26%	8%	132	+3.7	238/306/427	189	296	22	21	26%	8%	105	+1.7	225/294/407	182	280	21	22	27%	8%	97	+0.8
★Paul Goldschmidt 2017 · MLB	29	56→61	56→65	54→55	59	284/378/482	198	335	23	21	22%	13%	143	+4.5	277/366/503	226	327	29	13	23%	12%	144	+4.5	290/373/515	225	336	29	9	22%	11%	152	+5.7
✕Austin Slater 2022 · MLB	29	49→59	55	56→55	50	251/336/439	187	318	23	22	27%	10%	119	+2.7	255/343/401	146	341	16	17	27%	11%	113	+2.3	250/347/369	119	345	12	14	28%	11%	108	+0.8
●Tommy Pham 2018 · MLB	30	53→58	56→55	53→55	54	269/359/463	194	333	24	22	25%	11%	132	+3.7	269/358/452	183	324	22	20	22%	11%	130	+3.5	265/357/441	176	316	21	20	21%	12%	128	+2.5
●Trea Turner 2022 · MLB	29	63→65	57→60	59→65	49	318/368/529	211	353	24	28	17%	7%	151	+5.1	292/339/473	181	338	20	23	19%	6%	128	+3.3	284/332/458	174	329	20	24	20%	6%	123	+3.2
★Carlos Beltrán 2006 · MLB	29	52→60	56→65	59→60	56	266/339/464	198	279	22	25	15%	10%	126	+3.2	267/349/506	239	277	29	19	16%	11%	139	+4.2	270/357/520	250	276	31	20	16%	12%	146	+5.1
●Ian Kinsler 2010 · MLB	28	52→62	57→60	58→55	56	270/341/479	209	273	24	26	12%	9%	130	+3.5	259/343/438	179	267	20	22	12%	10%	121	+2.9	289/336/450	161	312	17	11	13%	6%	122	+3.4
★Cliff Floyd 2001 · MLB	28	54→58	58→65	56→55	54	283/358/497	214	306	26	25	17%	9%	140	+4.2	289/358/523	234	312	27	16	17%	8%	146	+4.7	289/361/527	238	310	28	13	16%	9%	149	+4.5
✕Carlos Gómez 2015 · MLB	29	56→58	55→60	60→65	45	280/342/478	199	335	22	34	23%	7%	130	+3.5	252/317/419	167	316	18	23	25%	7%	107	+1.9	238/307/398	160	305	18	21	27%	7%	98	+0.9
★Alfonso Soriano 2005 · MLB	29	54→56	60→70	54→60	43	283/323/500	218	307	28	22	19%	4%	129	+3.4	274/319/517	243	298	32	24	20%	5%	132	+3.6	275/321/533	257	298	34	27	20%	5%	137	+4.6
●AJ Pollock 2017 · MLB	29	57→61	52→65	59→55	53	287/344/459	172	308	18	29	14%	8%	126	+3.2	258/320/457	199	285	23	20	18%	7%	118	+2.6	280/333/511	231	311	31	10	20%	6%	138	+2.2
●Matt Kemp 2014 · MLB	29	56→65	55→65	52→55	45	284/336/474	190	346	23	18	25%	7%	127	+3.3	273/323/470	197	330	23	9	24%	7%	121	+2.9	271/318/480	210	318	26	7	23%	6%	123	+3.2
★Francisco Lindor 2024 · MLB	30	50→60	57→65	54→55	52	261/337/460	198	289	24	19	19%	9%	124	+3.1	268/342/479	211	296	26	21	19%	9%	130	+3.5	264/342/476	211	289	27	20	19%	9%	131	+3.7
●Ryan Braun 2013 · MLB	29	60→64	63→70	56→55	51	315/374/561	246	339	30	24	17%	8%	161	+5.8	287/346/498	211	328	24	18	20%	8%	136	+3.9	282/340/487	204	318	25	18	19%	7%	132	+3.5
●Wil Myers 2019 · MLB	28	49→54	57→60	54→55	49	250/322/456	206	311	24	20	27%	9%	118	+2.6	256/328/461	205	341	24	15	30%	10%	121	+2.9	257/334/461	204	343	24	13	30%	10%	124	+2.1
★Bobby Abreu 2002 · MLB	28	57→62	59→60	56→55	62	290/382/526	236	326	24	26	19%	13%	154	+5.3	292/391/499	207	336	20	25	18%	14%	151	+5.1	294/401/496	202	336	20	27	17%	15%	156	+6.3

Ronald Acuña Jr.

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps