Yoán Moncada

3B Los Angeles Angels

Age 32 S/R 6'0" / 220 lbs MLB K +5%HR +4% Svc 9.616 · Ctrl thru 2027 ILInjured 60-Day (D60)

Overview

MLBIL-6040-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	29	AAA/ROK/INTL2 orgs	84	.355/.417/.474	1	1	94	—	.310/.355/.448
2024	29	MLBCWS	45	.275/.356/.400	0	1	115	0.3
2025	30	MLBLAA	289	.234/.338/.448	12	0	120	0.5
2026	31	MLBLAA	130	.189/.308/.297	3	1	78	-0.1
2027PROJ	32	MLBLAA	83	.240/.340/.426	3	1	117	0.3
2028PROJ	33	MLBLAA	119	.232/.332/.407	4	0	110	-0.1

Last 3 seasons WAR 0.7 · Next 2 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service9.616First FA2028Options3

2027Ext / FA-deal$2M

Skills · percentileStatcast 2024-2026

Barrel%69

Avg EV63

Bat Spd55

xwOBA49

Speed27

CompsJosé Cruz Jr. (age 32) · Jorge Polanco (age 31) · Robinson Chirinos (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 117117vR 117

AVG/OBP/SLG.240 / .340 / .426

PA83

HR3

K%27

BB%11

BABIP303

ISO192

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 45 / POW 60

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

xAVG

100.208

POWER60

Barrel%

6911.1

Avg EV

6390.0

Bat Spd

5571.9

EYE55

scouting grade only

SPEED40

Sprint

2726.4

Platoon Splits2024-2026 · 411 PA

vs LHP

vs RHP

Edge

361

—

wRC+

130

▶▶R

wOBA

194

360

▶▶R

ISO

023

222

▶▶R

BABIP

177

300

▶▶R

34.0%

26.3%

▶▶R

BB%

10.0%

12.5%

▶▶R

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

Status FA

MLB Debut 2016

Service 9.616 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$2M	+0.3	$1M	-$0.9M
Totals		$2M		$1M	-$0.9M

Options · projected decision
2027	CLUB OPT	$2.1M / $0.0M buyout	DECLINE
2028	CLUB OPT	$25.0M / $5.0M buyout	DECLINE
2029	CLUB OPT	$2.1M / $0.0M 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	20	A	Greenville Drive	—	363	306	85	19	3	8	42	83	10	49	3	278	383	438	821	160	353	23	12	365	92	—	—	—	—	—	—
2016	21	MLB	Boston Red Sox	—	20	19	4	1	0	0	1	12	0	0	0	211	250	263	513	53	571	60	5	235	39	-1	+0	-0	+2	+0	0.1
2016	21	AA	Portland Sea Dogs	—	207	177	49	6	3	11	27	64	2	9	4	277	379	531	910	254	373	31	13	396	91	—	—	—	—	—	—
2016	21	A+	Salem Red Sox	—	284	228	70	25	3	4	45	60	5	36	8	307	432	496	927	189	395	21	16	404	112	—	—	—	—	—	—
2016	21	INTL	Surprise Saguaros	—	27	24	7	1	0	1	3	10	0	1	1	292	370	458	829	167	462	37	11	370	136	—	—	—	—	—	—
2017	22	MLB	Chicago White Sox	—	231	199	46	8	2	8	29	74	3	3	2	231	338	412	750	181	325	32	13	337	113	+4	-0	-2	+2	+5	0.9
2017	22	AAA	Charlotte Knights	—	361	309	87	9	3	12	49	102	0	17	8	282	380	447	826	165	379	28	14	367	84	—	—	—	—	—	—
2018	23	MLB	Chicago White Sox	—	650	578	136	32	6	17	67	217	1	12	6	235	316	400	715	164	344	33	10	318	100	-0	+0	-13	+2	+14	0.4
2019	24	MLB	Chicago White Sox	—	559	511	161	34	5	25	40	154	4	10	3	315	369	548	917	233	406	28	7	398	152	+35	+1	+5	+2	+12	5.6
2019	24	AAA	Charlotte Knights	—	22	22	9	1	0	2	0	3	0	0	0	409	409	727	1.136	318	412	14	0	494	150	—	—	—	—	—	—
2020	25	MLB	Chicago White Sox	—	231	200	45	8	3	6	28	72	1	0	0	225	323	385	708	160	315	31	12	317	100	-0	+0	-1	+1	+5	0.5
2021	26	MLB	Chicago White Sox	—	616	520	137	33	1	14	84	157	10	3	2	263	376	412	788	148	350	25	14	357	126	+19	-0	+2	+2	+13	3.7
2022	27	MLB	Chicago White Sox	—	433	397	84	18	1	12	32	114	2	2	0	212	274	353	626	141	265	26	7	281	73	-14	+0	+4	+2	+9	0.2
2022	27	AAA	Charlotte Knights	—	25	22	7	1	0	2	2	7	0	0	1	318	375	636	1.011	318	357	28	8	418	93	—	—	—	—	—	—
2023	28	MLB	Chicago White Sox	—	357	334	87	20	1	11	20	107	2	1	0	260	306	425	731	165	350	30	6	323	104	+2	+0	+0	+1	+8	1.1
2023	28	AAA	Charlotte Knights	—	50	44	18	4	0	2	6	13	0	0	0	409	480	636	1.116	227	552	26	12	487	143	—	—	—	—	—	—
2024	29	MLB	Chicago White Sox	—	45	40	11	3	1	0	5	11	0	1	0	275	356	400	756	125	379	24	11	340	115	+1	+0	+0	+0	+1	0.3
2024	29	AAA	Charlotte Knights	—	46	41	14	5	0	1	5	12	0	1	0	341	413	537	950	195	464	26	11	418	101	—	—	—	—	—	—
2024	29	ROK	ACL White Sox	—	16	15	8	1	0	0	1	4	0	0	0	533	562	600	1.163	67	727	25	6	520	110	—	—	—	—	—	—
2024	29	INTL	Senadores de San Juan	—	22	20	5	0	0	0	2	7	0	0	0	250	318	250	568		385	32	9	269	68	—	—	—	—	—	—
2025	30	MLB	Los Angeles Angels	—	289	248	58	13	2	12	32	75	7	0	0	234	338	448	786	214	282	26	11	347	120	+7	+0	-9	+1	+6	0.5
2026	31	MLB	Los Angeles Angels	—	130	111	21	1	1	3	17	45	2	1	0	189	308	297	605	108	286	35	13	284	78	-3	+0	-1	+0	+3	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3561	3157	790	171	23	108	355	1038	32	33	13	250	332	422	754	171	337	29	10	335	113	+56	+1	-14	+17	+77	13.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	20	A MLE	Greenville Drive	—	363	320	79	15	3	7	28	109	10	49	3	247	327	378	705	131	335	30	8	304	92	—	—	—	—	—	—
2016	21	MLB MLE	Boston Red Sox	—	20	19	4	1	0	0	1	12	0	0	0	211	250	263	513	53	571	60	5	226	39	-1	+0	-0	+2	+0	0.1
2016	21	AA MLE	Portland Sea Dogs	—	207	186	42	5	3	6	18	79	2	9	4	226	301	382	683	156	356	38	9	302	91	—	—	—	—	—	—
2016	21	A+ MLE	Salem Red Sox	—	284	245	65	21	2	5	28	89	5	36	8	265	353	429	781	163	369	31	10	333	112	—	—	—	—	—	—
2017	22	MLB MLE	Chicago White Sox	—	231	199	46	8	2	8	29	74	3	3	2	231	338	412	750	181	325	32	13	336	113	+4	-0	-2	+2	+5	0.9
2017	22	AAA MLE	Charlotte Knights	—	361	325	77	8	3	9	33	129	0	17	8	237	307	363	670	126	346	36	9	293	84	—	—	—	—	—	—
2018	23	MLB MLE	Chicago White Sox	—	650	579	136	32	6	17	66	217	1	12	6	235	314	399	713	164	344	33	10	316	100	-0	+0	-13	+2	+14	0.4
2019	24	MLB MLE	Chicago White Sox	—	559	513	161	34	5	25	38	154	4	10	3	314	366	546	912	232	406	28	7	393	152	+35	+1	+5	+2	+12	5.6
2019	24	AAA MLE	Charlotte Knights	—	22	22	7	1	0	1	0	4	0	0	0	318	318	500	818	182	368	18	0	390	150	—	—	—	—	—	—
2020	25	MLB MLE	Chicago White Sox	—	231	200	45	8	3	6	28	72	1	0	0	225	323	385	708	160	315	31	12	316	100	-0	+0	-1	+1	+5	0.5
2021	26	MLB MLE	Chicago White Sox	—	616	521	137	33	1	14	83	157	10	3	2	263	375	411	785	148	350	25	13	354	126	+19	-0	+2	+2	+13	3.7
2022	27	MLB MLE	Chicago White Sox	—	433	399	84	18	1	12	30	114	2	2	0	211	269	351	620	140	265	26	7	276	73	-14	+0	+4	+2	+9	0.2
2022	27	AAA MLE	Charlotte Knights	—	25	23	6	1	0	1	1	9	0	0	1	261	292	435	726	174	303	36	4	305	93	—	—	—	—	—	—
2023	28	MLB MLE	Chicago White Sox	—	357	334	87	20	1	11	20	107	2	1	0	260	306	425	731	165	350	30	6	321	104	+2	+0	+0	+1	+8	1.1
2023	28	AAA MLE	Charlotte Knights	—	50	46	15	3	0	1	4	16	0	0	0	326	380	457	837	130	498	32	8	379	143	—	—	—	—	—	—
2024	29	MLB MLE	Chicago White Sox	—	45	40	11	3	1	0	5	11	0	1	0	275	356	400	756	125	379	24	11	339	115	+1	+0	+0	+0	+1	0.3
2024	29	AAA MLE	Charlotte Knights	—	46	43	12	4	0	1	3	15	0	1	0	279	326	442	768	163	394	33	7	317	101	—	—	—	—	—	—
2024	29	ROK MLE	ACL White Sox	—	16	15	6	1	0	0	1	6	0	0	0	400	438	467	904	67	555	38	6	331	110	—	—	—	—	—	—
2025	30	MLB MLE	Los Angeles Angels	—	289	249	59	14	2	12	31	75	7	0	0	237	338	454	792	217	282	26	11	346	120	+7	+0	-9	+1	+6	0.5
2026	31	MLB MLE	Los Angeles Angels	—	130	111	21	1	1	3	17	45	2	1	0	189	308	297	605	108	286	35	13	284	78	-3	+0	-1	+0	+3	-0.1
2015	20	A MLE	Greenville Drive	—	363	320	79	15	3	7	28	109	10	49	3	247	327	378	705	131	348	30	8	304	92	—	—	—	—	—	—
2015	20	A RAW	Greenville Drive	—	363	306	85	19	3	8	42	83	10	49	3	278	383	438	821	160	353	23	12	365	92	—	—	—	—	—	—
2016	21	A+ MLE	4 teams	—	538	475	115	28	5	11	49	190	7	46	13	242	322	392	714	149	375	35	9	316	100	—	—	—	—	—	—
2016	21	A+ RAW	4 teams	—	538	448	130	33	6	16	76	146	7	46	13	290	401	498	899	208	394	27	14	393	100	—	—	—	—	—	—
2017	22	AAA MLE	2 teams	—	592	524	123	16	5	17	62	203	3	20	10	235	319	382	701	147	345	34	10	310	96	—	—	—	—	—	—
2017	22	AAA RAW	2 teams	—	592	508	133	17	5	20	78	176	3	20	10	262	363	433	796	171	359	30	13	356	96	—	—	—	—	—	—
2018	23	MLB MLE	Chicago White Sox	—	650	579	136	32	6	17	66	217	1	12	6	235	314	399	713	164	343	33	10	316	100	-0	+0	-13	+2	+14	0.4
2018	23	MLB RAW	Chicago White Sox	—	650	578	136	32	6	17	67	217	1	12	6	235	316	400	715	164	344	33	10	318	100	-0	+0	-13	+2	+14	0.4
2019	24	MLB MLE	2 teams	—	581	535	168	35	5	26	38	158	4	10	3	314	364	544	908	230	401	27	7	393	152	+36	+1	+5	+2	+13	5.7
2019	24	MLB RAW	2 teams	—	581	533	170	35	5	27	40	157	4	10	3	319	371	555	926	236	406	27	7	401	152	+36	+1	+5	+2	+13	5.7
2020	25	MLB MLE	Chicago White Sox	—	231	200	45	8	3	6	28	72	1	0	0	225	323	385	708	160	315	31	12	316	100	-0	+0	-1	+1	+5	0.5
2020	25	MLB RAW	Chicago White Sox	—	231	200	45	8	3	6	28	72	1	0	0	225	323	385	708	160	315	31	12	317	100	-0	+0	-1	+1	+5	0.5
2021	26	MLB MLE	Chicago White Sox	—	616	521	137	33	1	14	83	157	10	3	2	263	375	411	785	148	349	25	13	354	126	+19	-0	+2	+2	+13	3.7
2021	26	MLB RAW	Chicago White Sox	—	616	520	137	33	1	14	84	157	10	3	2	263	376	412	788	148	350	25	14	357	126	+19	-0	+2	+2	+13	3.7
2022	27	MLB MLE	2 teams	—	458	422	90	19	1	13	31	123	2	2	1	213	270	355	626	142	267	27	7	277	74	-14	+0	+4	+2	+10	0.2
2022	27	MLB RAW	2 teams	—	458	419	91	19	1	14	34	121	2	2	1	217	279	368	647	150	269	26	7	288	74	-14	+0	+4	+2	+10	0.2
2023	28	MLB MLE	2 teams	—	407	380	102	23	1	12	24	123	2	1	0	268	315	429	744	161	366	30	6	328	108	+4	+0	+0	+1	+9	1.5
2023	28	MLB RAW	2 teams	—	407	378	105	24	1	13	26	120	2	1	0	278	328	450	777	172	374	29	6	343	108	+4	+0	+0	+1	+9	1.5
2024	29	AAA MLE	4 teams	—	129	118	33	9	1	1	11	38	0	2	0	280	341	398	739	119	405	29	9	328	108	—	—	—	—	—	—
2024	29	AAA RAW	4 teams	—	129	116	38	9	1	1	13	34	0	2	0	328	395	448	844	121	457	26	10	378	108	—	—	—	—	—	—
2025	30	MLB MLE	Los Angeles Angels	—	289	249	59	14	2	12	31	75	7	0	0	237	338	454	792	217	287	26	11	346	120	+7	+0	-9	+1	+6	0.5
2025	30	MLB RAW	Los Angeles Angels	—	289	248	58	13	2	12	32	75	7	0	0	234	338	448	786	214	282	26	11	347	120	+7	+0	-9	+1	+6	0.5
2026	31	MLB MLE	Los Angeles Angels	—	130	111	21	1	1	3	17	45	2	1	0	189	308	297	605	108	286	35	13	284	78	-3	+0	-1	+0	+3	-0.1
2026	31	MLB RAW	Los Angeles Angels	—	130	111	21	1	1	3	17	45	2	1	0	189	308	297	605	108	286	35	13	284	78	-3	+0	-1	+0	+3	-0.1
2015	20	A MLE	Greenville Drive	—	363	322	79	15	3	7	28	109	10	49	3	245	327	376	703	130	335	30	8	304	92	—	—	—	—	—	—
2016	21	A+ MLE	4 teams	—	538	477	115	28	5	11	49	190	7	46	13	241	322	390	712	149	372	35	9	316	100	—	—	—	—	—	—
2017	22	AAA MLE	2 teams	—	592	522	123	16	5	17	62	203	3	20	10	236	319	383	702	148	338	34	10	310	96	—	—	—	—	—	—
2018	23	MLB MLE	Chicago White Sox	—	650	578	136	32	6	17	66	217	1	12	6	235	314	400	714	164	344	33	10	316	100	—	—	—	—	—	—
2019	24	MLB MLE	2 teams	—	581	534	168	35	5	26	38	158	4	10	3	315	364	545	909	230	405	27	7	393	152	—	—	—	—	—	—
2020	25	MLB MLE	Chicago White Sox	—	231	200	45	8	3	6	28	72	1	0	0	225	323	385	708	160	315	31	12	316	100	—	—	—	—	—	—
2021	26	MLB MLE	Chicago White Sox	—	616	518	137	33	1	14	83	157	10	3	2	264	375	413	788	149	350	25	13	354	126	—	—	—	—	—	—
2022	27	MLB MLE	2 teams	—	458	422	90	19	1	13	31	123	2	2	1	213	270	355	626	142	267	27	7	277	74	—	—	—	—	—	—
2023	28	MLB MLE	2 teams	—	407	378	102	23	1	12	24	123	2	1	0	270	315	431	746	161	368	30	6	328	108	—	—	—	—	—	—
2024	29	AAA MLE	4 teams	—	129	117	33	9	1	1	11	38	0	2	0	282	341	402	743	120	412	29	9	328	108	—	—	—	—	—	—
2025	30	MLB MLE	Los Angeles Angels	—	289	249	59	14	2	12	31	75	7	0	0	237	338	454	792	217	282	26	11	346	120	—	—	—	—	—	—
2026	31	MLB MLE	Los Angeles Angels	—	130	110	21	1	1	3	17	45	2	1	0	191	308	300	608	109	286	35	13	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	AAA MLE	4 teams	—	129	117	33	9	1	1	11	38	0	2	0	282	341	402	743	120	412	29	9	328	108	—	—	—	—	—	—
2025	30	MLB MLE	Los Angeles Angels	—	289	249	59	14	2	12	31	75	7	0	0	237	338	454	792	217	282	26	11	346	120	—	—	—	—	—	—
2026	31	MLB MLE	Los Angeles Angels	—	130	110	21	1	1	3	17	45	2	1	0	191	308	300	608	109	286	35	13	284	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	LAA	100%	200	172	41	8	1	7	23	54	3	2	1	241	341	426	768	185	305	27	12	341	117	+4	+0	-2	+1	+4	0.3
▸ 2027 — real world (MLB)
2027	32	MLB CTX	LAA	100%	83	73	18	3	1	3	9	22	1	1	0	240	340	426	766	186	303	27	11	341	117	+2	+0	-1	+0	+2	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	LAA	100%	119	103	24	4	1	4	13	33	2	0	0	233	332	408	740	175	297	28	11	331	110	+1	+0	-6	+0	+3	-0.1
2028	33	MLB CTX	LAA	100%	119	103	24	4	1	4	13	33	2	0	0	232	332	407	739	176	295	28	11	330	110	+1	+0	-6	+0	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3680	3260	814	175	24	112	368	1071	34	33	13	250	332	421	753	171	336	29	10	335	107	+57	+1	-20	+17	+80	13.8
/ 162G	—	A+C		—	650	576	144	31	4	20	65	189	6	6	2	250	332	422	754	172	336	29	10	335	107	+10	+0	-3	+3	+14	2.4
Career	—	MLE		—	5186	4610	1150	240	36	146	490	1565	52	147	38	249	328	412	741	163	343	30	9	327	107	+59	+2	-21	+17	+82	14.1
/ 162G	—	MLE		—	650	578	144	30	5	18	61	196	7	18	5	249	328	412	740	163	343	30	9	327	107	+10	+0	-4	+3	+14	2.4

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 AAACharlotte Knights · 46 PAwOBA .407 → .317 (−90)K% 26.1% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.09%	÷0.991	×1.200	—	—	31.59%
BB% (unintentional) /PA	10.87%	÷1.025	×0.690	—	×0.982	7.19%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	27.59%	÷1.033	×0.930	—	×0.982	24.39%
Doubles /BIP	17.24%	÷0.994	×0.830	—	×0.982	14.13%
Triples /BIP	0.00%	÷1.049	×0.970	—	×0.982	0.00%
Home runs /BIP	3.45%	÷1.016	×0.700	—	×0.982	2.33%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 107, 2B 99, 3B 110, K 98, BB 105 — 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 .407 → .317; ISO .195 → .145; BABIP .464 → .394. 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).

2024 ROKACL White Sox · 16 PAwOBA .506 → .331 (−175)K% 25.0% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.990	×1.440	—	—	36.37%
BB% (unintentional) /PA	6.25%	÷1.017	×0.620	—	×0.940	3.58%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	63.64%	÷0.993	×0.820	—	×0.940	49.39%
Doubles /BIP	9.09%	÷1.012	×0.720	—	×0.940	6.08%
Triples /BIP	0.00%	÷0.900	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.076	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 99, 2B 102, 3B 80, K 98, BB 103 — applied at half strength. Age: age 29 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (9.5 yr older than average).

Result: wOBA .506 → .331; ISO .067 → .039; BABIP .727 → .555. 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).

2023 AAACharlotte Knights · 50 PAwOBA .474 → .379 (−95)K% 26.0% → 31.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.00%	÷0.978	×1.200	—	—	31.92%
BB% (unintentional) /PA	12.00%	÷1.078	×0.690	—	×0.992	7.62%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	38.71%	÷0.967	×0.930	—	×0.992	36.94%
Doubles /BIP	12.90%	÷0.971	×0.830	—	×0.992	10.94%
Triples /BIP	0.00%	÷0.996	×0.970	—	×0.992	0.00%
Home runs /BIP	6.45%	÷1.152	×0.700	—	×0.992	3.89%

Factors used: league row International League. Park (home-season share, regressed): HR 130, 1B 93, 2B 94, 3B 99, K 96, BB 116 — 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 .474 → .379; ISO .227 → .155; BABIP .552 → .498. 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 AAACharlotte Knights · 25 PAwOBA .411 → .305 (−106)K% 28.0% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.00%	÷0.975	×1.200	—	—	34.48%
BB% (unintentional) /PA	4.00%	÷1.028	×0.690	—	×1.003	2.69%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	26.67%	÷1.003	×0.930	—	×1.003	24.81%
Doubles /BIP	6.67%	÷1.028	×0.830	—	×1.003	5.40%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.003	0.00%
Home runs /BIP	13.33%	÷1.421	×0.700	—	×1.003	6.59%

Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — 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).

Result: wOBA .411 → .305; ISO .318 → .180; BABIP .357 → .303. 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 AAACharlotte Knights · 22 PAwOBA .479 → .390 (−88)K% 13.6% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.64%	÷0.962	×1.200	—	—	17.02%
BB% (unintentional) /PA	0.00%	÷1.077	×0.690	—	×1.048	0.00%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	31.58%	÷1.061	×0.930	—	×1.048	29.01%
Doubles /BIP	5.26%	÷0.921	×0.830	—	×1.048	4.97%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.048	0.00%
Home runs /BIP	10.53%	÷1.212	×0.840	—	×1.048	7.64%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .479 → .390; ISO .318 → .232; BABIP .412 → .368. 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 AAACharlotte Knights · 361 PAwOBA .358 → .293 (−65)K% 28.3% → 35.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.25%	÷0.952	×1.200	—	—	35.62%
BB% (unintentional) /PA	12.74%	÷1.008	×0.690	—	×1.050	9.16%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	30.43%	÷1.012	×0.930	×0.969	×1.050	28.44%
Doubles /BIP	4.35%	÷0.958	×0.830	×0.969	×1.050	3.83%
Triples /BIP	1.45%	÷1.077	×0.970	×0.969	×1.050	1.33%
Home runs /BIP	5.80%	÷1.150	×0.840	—	×1.050	4.45%

Factors used: league row IL. Park (home-season share, regressed): HR 130, 1B 102, 2B 92, 3B 115, K 90, BB 102 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .358 → .293; ISO .165 → .128; BABIP .379 → .346. 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 A+Salem Red Sox · 284 PAwOBA .395 → .333 (−62)K% 21.1% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.13%	÷0.951	×1.420	—	—	31.54%
BB% (unintentional) /PA	14.79%	÷0.989	×0.630	—	×1.027	9.68%
HBP% /PA	1.76%	—	×0.860	—	×1.027	1.55%
Singles /BIP	22.62%	÷1.000	×0.940	×1.033	×1.027	22.54%
Doubles /BIP	14.88%	÷1.030	×0.830	×1.033	×1.027	12.71%
Triples /BIP	1.79%	÷1.150	×0.800	×1.033	×1.027	1.32%
Home runs /BIP	2.38%	÷0.787	×0.900	—	×1.027	2.80%

Factors used: league row CAR. Park (home-season share, regressed): HR 57, 1B 100, 2B 106, 3B 130, K 90, BB 98 — 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 ×1.033.

Result: wOBA .395 → .333; ISO .189 → .169; BABIP .395 → .369. 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 AAPortland Sea Dogs · 207 PAwOBA .384 → .302 (−82)K% 30.9% → 38.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.92%	÷0.985	×1.220	—	—	38.29%
BB% (unintentional) /PA	12.56%	÷1.050	×0.700	—	×1.050	8.80%
HBP% /PA	0.97%	—	×0.850	—	×1.050	0.86%
Singles /BIP	25.66%	÷1.040	×0.970	×1.032	×1.050	25.94%
Doubles /BIP	5.31%	÷0.997	×0.860	×1.032	×1.050	4.96%
Triples /BIP	2.65%	÷1.031	×0.950	×1.032	×1.050	2.65%
Home runs /BIP	9.73%	÷1.371	×0.780	—	×1.050	5.82%

Factors used: league row EL. Park (home-season share, regressed): HR 174, 1B 108, 2B 99, 3B 106, K 97, BB 110 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .384 → .302; ISO .254 → .169; BABIP .373 → .356. 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
#1Kelly Johnsonlast yr '16 career totals — 11 seasons, 5,139 PA	7.7	5,139	155	87	251	330	422	+8	-3	22.3	21.3
/162	664	20	11	+1.0	-0.4	2.9	pk7: 20
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	5.6	3,707	115	33	251	331	426	+13	-9	17.5	16.9
/162	664	21	6	+2.4	-1.6	3.1	pk7: 16
#2Jeimer Candelariolast yr '25 career totals — 9 seasons, 3,576 PA	5.4	3,576	110	19	237	316	412	+8	-5	12.7	13.0
/162	664	20	4	+1.6	-0.9	2.4	pk7: 13
#3Jim Lefebvre'65-'72 * career totals — 8 seasons, 3,417 PA	5.1	3,417	74	8	250*	327*	411*	+11	-10	13.0	13.0
/162	664	14	2	+2.1	-2.0	2.5	pk7: 13
#4Fernando Tatis'97-'10 * career totals — 11 seasons, 3,468 PA	5.2	3,468	113	50	254*	329*	429*	-2	-23	10.6	11.7
/162	664	22	10	-0.3	-4.3	2.0	pk7: 13
#5Vance Law'80-'91 * career totals — 11 seasons, 4,298 PA	6.5	4,298	71	34	253*	327*	401*	+13	-17	10.0	11.5
/162	664	11	5	+2.0	-2.6	1.5	pk7: 13
#6Brian Andersonlast yr '23 career totals — 7 seasons, 2,522 PA	3.8	2,522	66	14	252	336	404	-1	-0	10.0	10.0
/162	664	17	4	-0.1	-0.0	2.6	pk7: 10

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
Yoán Moncada (OGILVIE)	32	45	60	40	55	239/339/423	184	305	3	1	27%	11%	117	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕José Cruz Jr. 2006 · MLB	32	47→50	55→65	42→50	60	244/340/436	192	277	21	6	20%	13%	120	+2.8	232/324/384	152	279	15	10	21%	12%	102	+1.5	225/317/358	133	275	11	13	21%	12%	94	+0.5
●Jorge Polanco 2024 · MLB	31	48→58	55→60	45→50	54	249/331/436	187	292	23	7	23%	10%	117	+2.6	235/307/415	180	274	24	6	23%	9%	103	+1.5	224/294/403	179	252	24	5	22%	8%	96	+0.7
●Robinson Chirinos 2017 · MLB	33	43→46	56→60	40→50	49	229/308/427	198	263	24	3	23%	8%	107	+1.8	236/339/446	210	295	26	4	28%	10%	122	+3.0	229/342/435	206	294	26	2	29%	11%	120	+1.8
✕Marwin Gonzalez 2020 · MLB	31	51→57	52→55	43→50	49	260/323/426	166	304	20	4	22%	8%	111	+2.1	224/293/355	131	273	16	5	23%	7%	84	+0.2	194/270/307	113	240	14	5	24%	7%	66	-0.5
✕Neil Walker 2018 · MLB	32	53→57	53→55	42→45	54	269/343/443	173	299	21	3	18%	9%	122	+3.0	248/327/394	146	296	16	4	21%	10%	105	+1.7	240/324/375	134	290	14	2	21%	10%	101	+0.9
✕John Buck 2012 · MLB	32	48→53	53→60	41→30	46	248/308/421	173	292	22	2	23%	7%	105	+1.7	225/296/374	149	272	19	3	24%	8%	90	+0.6	214/286/349	136	261	18	1	25%	8%	81	-0.0
✕Aaron Hicks 2022 · MLB	32	44→54	52→60	47→55	60	227/335/395	168	268	19	7	22%	13%	109	+2.0	226/326/344	118	287	13	11	24%	12%	94	+0.9	226/331/332	106	287	12	13	23%	13%	94	+0.6
✕Wilson Betemit 2013 · MLB	31	54→55	50→60	44→40	47	264/325/428	163	343	17	4	27%	8%	112	+2.2	223/280/362	139	308	17	4	31%	7%	80	-0.1	172/229/303	131	238	19	1	36%	7%	49	-1.8
✕George Kottaras 2014 · MLB	31	44→54	56→55	46→30	60	231/342/427	196	286	24	5	27%	14%	119	+2.7	209/297/368	159	301	22	5	35%	11%	89	+0.5	172/257/297	125	250	19	0	38%	10%	56	-0.5
●Greg Norton 2004 · MLB	32	49	54→60	44→40	50	250/319/439	190	304	21	7	25%	9%	113	+2.3	241/311/410	169	283	21	4	22%	9%	103	+1.5	266/356/431	165	314	20	2	21%	12%	125	+1.5
✕Matthew LeCroy 2007 · MLB	31	50	53→55	46→30	52	255/335/421	166	302	22	3	23%	10%	114	+2.4	204/270/312	108	246	11	5	21%	7%	65	-1.2	157/215/221	63	193	5	0	20%	5%	24	-2.1
●Mitch Garver 2023 · MLB	32	43→46	57→70	42→40	52	231/320/426	195	284	25	5	28%	11%	111	+2.1	226/323/414	188	279	25	3	27%	12%	109	+2.0	212/315/390	178	262	24	2	28%	12%	101	+0.9
✕Kelly Shoppach 2011 · MLB	31	45→50	54→60	46→30	47	226/328/412	186	314	22	3	33%	10%	111	+2.1	213/296/377	164	294	20	4	33%	8%	91	+0.7	197/276/352	155	274	19	1	34%	7%	79	-0.1
✕Michael McKenry 2016 · MLB	31	48→47	50→55	43→40	53	241/325/403	161	293	17	8	23%	10%	107	+1.8	206/298/335	129	283	12	6	29%	11%	82	-0.0	175/275/285	109	248	10	2	31%	11%	60	-0.7
✕Jarrod Saltalamacchia 2015 · MLB	30	48→54	52→60	42→40	48	238/314/413	175	323	20	3	31%	10%	105	+1.7	205/291/367	162	297	20	3	35%	11%	86	+0.3	167/258/318	152	242	20	0	38%	11%	64	-0.5
✕Preston Wilson 2006 · MLB	32	50→52	58→60	42→55	47	262/325/467	205	308	25	8	24%	8%	122	+2.9	254/305/418	164	308	20	12	23%	6%	103	+1.5	260/302/418	158	312	19	13	23%	5%	102	+1.3
●Mark Reynolds 2017 · MLB	33	49→56	52→65	40→50	50	245/322/411	166	309	20	4	27%	10%	107	+1.9	244/327/427	183	318	24	4	29%	11%	113	+2.3	232/322/418	186	302	25	2	30%	11%	111	+1.2
●Asdrúbal Cabrera 2018 · MLB	32	56→63	52→60	45→50	50	280/339/452	172	312	19	5	17%	8%	123	+3.0	262/327/444	182	299	21	4	19%	9%	117	+2.6	254/322/441	187	289	22	2	20%	9%	115	+1.8
✕Tim Beckham 2021 · MLB	31	46→55	55	39→50	43	238/296/424	186	300	22	5	28%	7%	101	+1.4	249/299/400	151	324	19	7	28%	6%	96	+1.0	255/299/384	129	337	17	4	28%	5%	89	+0.2
✕Danny Valencia 2017 · MLB	32	55→59	54→60	41→40	47	282/336/464	182	330	23	3	22%	7%	124	+3.1	260/319/418	158	312	19	4	22%	8%	107	+1.9	253/312/400	147	304	18	2	22%	8%	102	+0.9

Yoán Moncada

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps