DJ LeMahieu

2B New York Yankees

Age 39 R/R 6'3" / 220 lbs MLB HR +14% Svc 16.000 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	35	MLBNYY	562	.243/.329/.390	15	2	101	1.4
2024	36	MLBNYY	228	.204/.276/.259	2	0	50	-0.6
2025	37	MLBNYY	142	.266/.338/.336	2	0	95	0.3
2026	38	No MLB games played
2027PROJ	39	MLBNYY	102	.260/.332/.378	2	1	101	0.3
2028PROJ	40	MLBNYY	80	.253/.326/.362	1	1	95	-0.8

Last 3 seasons WAR 1.1 · Next 2 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service16.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

Avg EV58

xwOBA55

Barrel%30

Bat Spd15

Speed12

CompsBenito Santiago (age 39) · Noe Munoz (age 39) · Pedro Castellano (age 39)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 102101vR 98

AVG/OBP/SLG.260 / .332 / .378

PA102

HR2

K%21

BB%9

BABIP314

ISO110

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2023-2025

CONTACT

xAVG

460.248

POWER

Barrel%

305.6

Avg EV

5889.7

Bat Spd

1567.6

SPEED

Sprint

1225.6

Platoon Splits2024-2025 · 370 PA

vs LHP

vs RHP

Edge

136

234

—

wRC+

▶▶R

wOBA

229

287

▶▶R

ISO

026

080

▶▶R

BABIP

229

305

▶▶R

17.6%

19.7%

◀L

BB%

11.0%

7.7%

◀◀L

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

Status FA

MLB Debut 2011

Service 16.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	+0.2	$0.8M	-$0.4M
Totals		$1M		$0.8M	-$0.4M

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)
2009	21	A	Peoria Chiefs	—	168	152	48	4	2	0	12	22	2	2	2	316	373	368	742	53	366	13	7	335	89	—	—	—	—	—	—
2010	22	A+	Daytona Cubs	—	600	554	174	24	5	2	29	61	1	15	7	314	349	386	736	72	346	10	5	322	84	—	—	—	—	—	—
2011	23	MLB	Chicago Cubs	—	62	60	15	2	0	0	1	12	0	0	0	250	262	283	546	33	312	19	2	242	49	-4	+0	+2	+2	+1	0.2
2011	23	AAA	Iowa Cubs	—	247	227	65	7	1	3	14	27	2	5	5	286	333	366	699	79	308	11	6	312	82	—	—	—	—	—	—
2011	23	AA	Tennessee Smokies	—	202	187	67	15	2	2	11	22	0	4	3	358	394	492	886	134	389	11	5	385	124	—	—	—	—	—	—
2011	23	INTL	Mesa Solar Sox	—	140	126	38	5	0	2	11	18	3	14	2	302	371	389	760	87	340	13	8	347	121	—	—	—	—	—	—
2012	24	MLB	Colorado Rockies	—	247	229	68	12	4	2	13	42	0	1	2	297	335	410	745	114	353	17	5	325	87	-4	-1	+3	+2	+5	0.6
2012	24	AAA	Colorado Springs Sky Sox	—	280	255	80	14	2	1	23	29	0	13	6	314	371	396	767	82	348	10	8	344	91	—	—	—	—	—	—
2013	25	MLB	Colorado Rockies	—	434	404	113	21	3	2	19	67	1	18	7	280	314	361	675	82	328	15	4	297	77	-12	+1	+5	+2	+9	0.5
2013	25	AAA	Colorado Springs Sky Sox	—	158	143	52	8	5	1	10	19	2	8	2	364	413	510	923	147	405	12	6	400	125	—	—	—	—	—	—
2014	26	MLB	Colorado Rockies	—	538	494	132	15	5	5	33	97	2	10	10	267	316	348	664	81	322	18	6	296	71	-18	-2	+9	+2	+12	0.2
2015	27	MLB	Colorado Rockies	—	620	564	170	21	5	6	50	107	1	23	3	301	359	388	748	87	362	17	8	336	102	+1	+3	+2	+2	+13	2.3
2016	28	MLB	Colorado Rockies	—	635	552	192	32	8	11	66	80	3	11	7	348	420	495	915	147	388	13	10	398	143	+32	-1	+4	+2	+14	5.3
2017	29	MLB	Colorado Rockies	—	682	609	189	28	4	8	59	90	6	6	5	310	377	409	786	99	351	13	9	351	115	+12	-1	+17	+2	+15	4.6
2018	30	MLB	Colorado Rockies	—	581	533	147	32	2	15	37	82	2	6	5	276	325	428	753	152	298	14	6	330	100	-0	-1	+12	+2	+13	2.6
2019	31	MLB	New York Yankees	—	655	602	197	33	2	26	46	90	2	5	2	327	377	518	895	191	349	14	7	391	148	+37	+0	+7	+2	+14	6.2
2020	32	MLB	New York Yankees	—	216	195	71	10	2	10	18	21	2	3	0	364	423	590	1.013	226	370	10	8	441	181	+21	+1	-3	+1	+5	2.5
2021	33	MLB	New York Yankees	—	679	597	160	24	1	10	73	94	4	4	2	268	352	362	713	94	301	14	11	324	103	+3	+0	-1	+2	+15	2.0
2022	34	MLB	New York Yankees	—	541	467	122	18	0	12	67	71	4	4	3	261	359	377	736	116	285	13	12	335	111	+7	-0	+6	+2	+12	2.7
2023	35	MLB	New York Yankees	—	562	497	121	22	3	15	60	125	3	2	2	243	329	390	719	147	295	22	11	323	101	+1	-0	-1	+2	+12	1.4
2024	36	MLB	New York Yankees	—	228	201	41	5	0	2	19	35	1	0	1	204	276	259	535	55	229	15	8	243	50	-14	-0	+3	+1	+5	-0.6
2025	37	MLB	New York Yankees	—	142	128	34	3	0	2	14	35	0	0	0	266	338	336	674	70	352	25	10	310	95	-1	+0	-0	+1	+3	0.3
2025	37	AA	Somerset Patriots	—	18	16	7	1	0	1	2	3	0	0	0	438	500	688	1.188	250	500	17	11	516	168	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6822	6132	1772	278	39	126	575	1048	31	93	49	289	353	409	762	120	329	15	8	338	115	+123	-1	+65	+28	+148	37.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	21	A MLE	Peoria Chiefs	—	168	156	47	4	2	0	8	30	2	2	2	301	343	353	696	51	356	18	5	300	89	—	—	—	—	—	—
2010	22	A+ MLE	Daytona Cubs	—	600	560	165	22	4	2	23	86	1	15	7	295	324	359	683	64	328	14	4	292	84	—	—	—	—	—	—
2011	23	MLB MLE	Chicago Cubs	—	62	60	15	2	0	0	1	12	0	0	0	250	262	283	546	33	312	19	2	241	49	-4	+0	+2	+2	+1	0.2
2011	23	AAA MLE	Iowa Cubs	—	247	231	64	6	1	3	10	36	2	5	5	277	313	351	663	74	306	15	4	290	82	—	—	—	—	—	—
2011	23	AA MLE	Tennessee Smokies	—	202	191	65	15	2	2	7	28	0	4	3	340	364	471	835	131	368	14	3	352	124	—	—	—	—	—	—
2012	24	MLB MLE	Colorado Rockies	—	247	233	65	12	3	2	9	42	0	1	2	279	306	382	688	103	353	17	4	297	87	-4	-1	+3	+2	+5	0.6
2012	24	AAA MLE	Colorado Springs Sky Sox	—	280	260	74	11	2	1	18	42	0	13	6	285	331	354	685	69	331	15	6	302	91	—	—	—	—	—	—
2013	25	MLB MLE	Colorado Rockies	—	434	406	108	20	2	2	17	67	1	18	7	266	297	340	637	74	328	15	4	282	77	-12	+1	+5	+2	+9	0.5
2013	25	AAA MLE	Colorado Springs Sky Sox	—	158	146	48	7	4	1	7	26	2	8	2	329	368	452	820	123	375	16	4	353	125	—	—	—	—	—	—
2014	26	MLB MLE	Colorado Rockies	—	538	501	125	14	3	4	26	97	2	10	10	250	289	313	603	64	322	18	5	274	71	-18	-2	+9	+2	+12	0.2
2015	27	MLB MLE	Colorado Rockies	—	620	568	162	20	3	5	46	107	1	23	3	285	340	357	697	72	362	17	7	318	102	+1	+3	+2	+2	+13	2.3
2016	28	MLB MLE	Colorado Rockies	—	635	554	184	31	6	10	64	80	3	11	7	332	404	464	868	132	388	13	10	379	143	+32	-1	+4	+2	+14	5.3
2017	29	MLB MLE	Colorado Rockies	—	682	610	181	27	3	7	58	90	6	6	5	297	364	385	749	89	351	13	9	338	115	+12	-1	+17	+2	+15	4.6
2018	30	MLB MLE	Colorado Rockies	—	581	533	140	31	1	13	37	82	2	6	5	263	313	398	711	135	298	14	6	316	100	-0	-1	+12	+2	+13	2.6
2019	31	MLB MLE	New York Yankees	—	655	602	195	33	2	24	46	90	2	5	2	324	374	505	879	181	349	14	7	387	148	+37	+0	+7	+2	+14	6.2
2020	32	MLB MLE	New York Yankees	—	216	195	70	10	2	9	18	21	2	3	0	359	419	569	988	210	370	10	8	435	181	+21	+1	-3	+1	+5	2.5
2021	33	MLB MLE	New York Yankees	—	679	599	159	24	1	9	71	94	4	4	2	265	347	354	701	88	301	14	10	321	103	+3	+0	-1	+2	+15	2.0
2022	34	MLB MLE	New York Yankees	—	541	467	121	18	0	11	67	71	4	4	3	259	357	368	725	109	285	13	12	332	111	+7	-0	+6	+2	+12	2.7
2023	35	MLB MLE	New York Yankees	—	562	499	120	22	3	14	58	125	3	2	2	240	323	381	704	140	295	22	10	318	101	+1	-0	-1	+2	+12	1.4
2024	36	MLB MLE	New York Yankees	—	228	201	41	5	0	2	19	35	1	0	1	204	276	259	535	55	229	15	8	242	50	-14	-0	+3	+1	+5	-0.6
2025	37	MLB MLE	New York Yankees	—	142	128	34	3	0	2	14	35	0	0	0	266	338	336	674	70	352	25	10	309	95	-1	+0	-0	+1	+3	0.3
2025	37	AA MLE	Somerset Patriots	—	18	17	7	1	0	1	1	4	0	0	0	412	444	647	1.092	235	452	22	6	416	168	—	—	—	—	—	—
2009	21	A MLE	Peoria Chiefs	—	168	156	47	4	2	0	8	30	2	2	2	301	343	353	696	51	370	18	5	300	89	—	—	—	—	—	—
2009	21	A RAW	Peoria Chiefs	—	168	152	48	4	2	0	12	22	2	2	2	316	373	368	742	53	366	13	7	335	89	—	—	—	—	—	—
2010	22	A+ MLE	Daytona Cubs	—	600	560	165	22	4	2	23	86	1	15	7	295	324	359	683	64	341	14	4	292	84	—	—	—	—	—	—
2010	22	A+ RAW	Daytona Cubs	—	600	554	174	24	5	2	29	61	1	15	7	314	349	386	736	72	346	10	5	322	84	—	—	—	—	—	—
2011	23	AAA MLE	4 teams	—	651	614	182	29	3	6	23	97	5	23	10	296	327	383	710	86	339	15	4	309	95	—	—	—	—	—	—
2011	23	AAA RAW	4 teams	—	651	600	185	29	3	7	37	79	5	23	10	308	354	402	755	93	341	12	6	335	95	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	527	493	139	23	4	3	27	84	0	14	8	282	319	363	682	81	332	16	5	300	89	—	—	—	—	—	—
2012	24	AAA RAW	2 teams	—	527	484	148	26	6	3	36	71	0	14	8	306	354	403	757	97	350	13	7	335	89	—	—	—	—	—	—
2013	25	MLB MLE	2 teams	—	592	552	156	27	6	3	24	93	3	26	9	283	316	370	686	87	331	16	4	301	90	-7	+2	+5	+2	+13	1.4
2013	25	MLB RAW	2 teams	—	592	547	165	29	8	3	29	86	3	26	9	302	340	400	741	99	349	15	5	324	90	-7	+2	+5	+2	+13	1.4
2014	26	MLB MLE	Colorado Rockies	—	538	501	125	14	3	4	26	97	2	10	10	250	289	313	603	64	301	18	5	274	71	-18	-2	+9	+2	+12	0.2
2014	26	MLB RAW	Colorado Rockies	—	538	494	132	15	5	5	33	97	2	10	10	267	316	348	664	81	322	18	6	296	71	-18	-2	+9	+2	+12	0.2
2015	27	MLB MLE	Colorado Rockies	—	620	568	162	20	3	5	46	107	1	23	3	285	340	357	697	72	343	17	7	318	102	+1	+3	+2	+2	+13	2.3
2015	27	MLB RAW	Colorado Rockies	—	620	564	170	21	5	6	50	107	1	23	3	301	359	388	748	87	362	17	8	336	102	+1	+3	+2	+2	+13	2.3
2016	28	MLB MLE	Colorado Rockies	—	635	554	184	31	6	10	64	80	3	11	7	332	404	464	868	132	370	13	10	379	143	+32	-1	+4	+2	+14	5.3
2016	28	MLB RAW	Colorado Rockies	—	635	552	192	32	8	11	66	80	3	11	7	348	420	495	915	147	388	13	10	398	143	+32	-1	+4	+2	+14	5.3
2017	29	MLB MLE	Colorado Rockies	—	682	610	181	27	3	7	58	90	6	6	5	297	364	385	749	89	336	13	9	338	115	+12	-1	+17	+2	+15	4.6
2017	29	MLB RAW	Colorado Rockies	—	682	609	189	28	4	8	59	90	6	6	5	310	377	409	786	99	351	13	9	351	115	+12	-1	+17	+2	+15	4.6
2018	30	MLB MLE	Colorado Rockies	—	581	533	140	31	1	13	37	82	2	6	5	263	313	398	711	135	285	14	6	316	100	-0	-1	+12	+2	+13	2.6
2018	30	MLB RAW	Colorado Rockies	—	581	533	147	32	2	15	37	82	2	6	5	276	325	428	753	152	298	14	6	330	100	-0	-1	+12	+2	+13	2.6
2019	31	MLB MLE	New York Yankees	—	655	602	195	33	2	24	46	90	2	5	2	324	374	505	879	181	348	14	7	387	148	+37	+0	+7	+2	+14	6.2
2019	31	MLB RAW	New York Yankees	—	655	602	197	33	2	26	46	90	2	5	2	327	377	518	895	191	349	14	7	391	148	+37	+0	+7	+2	+14	6.2
2020	32	MLB MLE	New York Yankees	—	216	195	70	10	2	9	18	21	2	3	0	359	419	569	988	210	367	10	8	435	181	+21	+1	-3	+1	+5	2.5
2020	32	MLB RAW	New York Yankees	—	216	195	71	10	2	10	18	21	2	3	0	364	423	590	1.013	226	370	10	8	441	181	+21	+1	-3	+1	+5	2.5
2021	33	MLB MLE	New York Yankees	—	679	599	159	24	1	9	71	94	4	4	2	265	347	354	701	88	299	14	10	321	103	+3	+0	-1	+2	+15	2.0
2021	33	MLB RAW	New York Yankees	—	679	597	160	24	1	10	73	94	4	4	2	268	352	362	713	94	301	14	11	324	103	+3	+0	-1	+2	+15	2.0
2022	34	MLB MLE	New York Yankees	—	541	467	121	18	0	11	67	71	4	4	3	259	357	368	725	109	284	13	12	332	111	+7	-0	+6	+2	+12	2.7
2022	34	MLB RAW	New York Yankees	—	541	467	122	18	0	12	67	71	4	4	3	261	359	377	736	116	285	13	12	335	111	+7	-0	+6	+2	+12	2.7
2023	35	MLB MLE	New York Yankees	—	562	499	120	22	3	14	58	125	3	2	2	240	323	381	704	140	293	22	10	318	101	+1	-0	-1	+2	+12	1.4
2023	35	MLB RAW	New York Yankees	—	562	497	121	22	3	15	60	125	3	2	2	243	329	390	719	147	295	22	11	323	101	+1	-0	-1	+2	+12	1.4
2024	36	MLB MLE	New York Yankees	—	228	201	41	5	0	2	19	35	1	0	1	204	276	259	535	55	229	15	8	242	50	-14	-0	+3	+1	+5	-0.6
2024	36	MLB RAW	New York Yankees	—	228	201	41	5	0	2	19	35	1	0	1	204	276	259	535	55	229	15	8	243	50	-14	-0	+3	+1	+5	-0.6
2025	37	MLB MLE	2 teams	—	160	145	41	4	0	3	15	39	0	0	0	283	350	372	722	90	369	24	9	321	103	+1	+0	-0	+1	+3	0.4
2025	37	MLB RAW	2 teams	—	160	144	41	4	0	3	16	38	0	0	0	285	356	375	731	90	369	24	10	333	103	+1	+0	-0	+1	+3	0.4
2009	21	A MLE	Peoria Chiefs	—	168	156	47	4	2	0	8	30	2	2	2	301	343	353	696	51	356	18	5	300	89	—	—	—	—	—	—
2010	22	A+ MLE	Daytona Cubs	—	600	571	165	22	4	2	23	86	1	15	7	289	324	352	676	63	328	14	4	292	84	—	—	—	—	—	—
2011	23	AAA MLE	4 teams	—	651	618	182	29	3	6	23	97	5	23	10	294	327	380	707	86	331	15	4	309	95	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	527	495	139	23	4	3	27	84	0	14	8	281	319	362	681	81	341	16	5	300	89	—	—	—	—	—	—
2013	25	MLB MLE	2 teams	—	592	560	156	27	6	3	24	93	3	26	9	279	316	364	680	86	341	16	4	301	90	—	—	—	—	—	—
2014	26	MLB MLE	Colorado Rockies	—	538	505	125	14	3	4	26	97	2	10	10	248	289	311	600	63	322	18	5	274	71	—	—	—	—	—	—
2015	27	MLB MLE	Colorado Rockies	—	620	568	162	20	3	5	46	107	1	23	3	285	340	357	697	72	362	17	7	318	102	—	—	—	—	—	—
2016	28	MLB MLE	Colorado Rockies	—	635	563	184	31	6	10	64	80	3	11	7	327	404	456	861	130	388	13	10	379	143	—	—	—	—	—	—
2017	29	MLB MLE	Colorado Rockies	—	682	613	181	27	3	7	58	90	6	6	5	295	364	383	747	88	351	13	9	338	115	—	—	—	—	—	—
2018	30	MLB MLE	Colorado Rockies	—	581	537	140	31	1	13	37	82	2	6	5	261	313	395	708	134	298	14	6	316	100	—	—	—	—	—	—
2019	31	MLB MLE	New York Yankees	—	655	602	195	33	2	24	46	90	2	5	2	324	374	505	879	181	349	14	7	387	148	—	—	—	—	—	—
2020	32	MLB MLE	New York Yankees	—	216	194	70	10	2	9	18	21	2	3	0	361	419	572	991	211	370	10	8	435	181	—	—	—	—	—	—
2021	33	MLB MLE	New York Yankees	—	679	599	159	24	1	9	71	94	4	4	2	265	347	354	701	88	301	14	10	321	103	—	—	—	—	—	—
2022	34	MLB MLE	New York Yankees	—	541	465	121	18	0	11	67	71	4	4	3	260	357	370	727	110	285	13	12	332	111	—	—	—	—	—	—
2023	35	MLB MLE	New York Yankees	—	562	496	120	22	3	14	58	125	3	2	2	242	323	383	706	141	295	22	10	318	101	—	—	—	—	—	—
2024	36	MLB MLE	New York Yankees	—	228	206	41	5	0	2	19	35	1	0	1	199	276	252	528	53	229	15	8	242	50	—	—	—	—	—	—
2025	37	MLB MLE	2 teams	—	160	144	41	4	0	3	15	39	0	0	0	285	350	375	725	90	363	24	9	321	103	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	36	MLB MLE	New York Yankees	—	228	206	41	5	0	2	19	35	1	0	1	199	276	252	528	53	229	15	8	242	50	—	—	—	—	—	—
2025	37	MLB MLE	2 teams	—	160	144	41	4	0	3	15	39	0	0	0	285	350	375	725	90	363	24	9	321	103	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	39	MLB MLE	NYY	100%	164	147	38	6	1	3	15	33	1	2	1	260	332	373	705	114	314	20	9	317	101	+0	+0	-0	+1	+4	0.2
▸ 2027 — real world (MLB)
2027	39	MLB CTX	NYY	100%	102	91	23	4	0	2	9	21	1	1	0	260	332	378	710	117	314	21	9	319	101	+0	+0	-0	+0	+2	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	40	MLB MLE	NYY	100%	80	73	18	3	0	1	7	16	0	1	0	252	325	358	683	106	305	20	9	308	95	-0	+0	-9	+0	+2	-0.8
2028	40	MLB CTX	NYY	100%	80	73	18	3	0	1	7	16	0	1	0	253	326	362	688	110	305	20	9	310	95	-0	+0	-9	+0	+2	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6902	6205	1790	281	39	127	582	1064	31	94	49	288	352	408	760	119	329	15	8	338	105	+123	-1	+56	+28	+150	36.3
/ 162G	—	A+C		—	650	584	168	26	4	12	55	100	3	9	5	288	351	408	759	120	328	15	8	338	105	+12	-0	+5	+3	+14	3.4
Career	—	MLE		—	8817	8013	2269	351	43	128	646	1358	42	156	76	283	340	386	725	102	325	15	7	323	105	+123	-1	+56	+29	+152	36.6
/ 162G	—	MLE		—	650	591	167	26	3	9	48	100	3	12	6	283	340	382	722	100	324	15	7	323	105	+11	-0	+5	+3	+14	3.4

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.

2025 AASomerset Patriots · 18 PAwOBA .502 → .416 (−85)K% 16.7% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.970	×1.220	—	—	20.95%
BB% (unintentional) /PA	11.11%	÷0.977	×0.700	—	×0.940	7.48%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	38.46%	÷0.969	×0.970	—	×0.940	36.18%
Doubles /BIP	7.69%	÷0.953	×0.860	—	×0.940	6.52%
Triples /BIP	0.00%	÷1.056	×0.950	—	×0.940	0.00%
Home runs /BIP	7.69%	÷1.030	×0.780	—	×0.940	5.48%

Factors used: league row EL. Park (home-season share, regressed): HR 106, 1B 94, 2B 91, 3B 111, K 94, BB 95 — applied at half strength. Age: age 37 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (12.2 yr older than average).

Result: wOBA .502 → .416; ISO .250 → .185; BABIP .500 → .452. 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).

2013 AAAColorado Springs Sky Sox · 158 PAwOBA .397 → .353 (−45)K% 12.0% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.03%	÷0.941	×1.290	—	—	16.49%
BB% (unintentional) /PA	6.33%	÷1.000	×0.710	—	×1.033	4.64%
HBP% /PA	1.27%	—	×0.980	—	×1.033	1.28%
Singles /BIP	30.65%	÷1.031	×0.900	×1.050	×1.033	29.01%
Doubles /BIP	6.45%	÷0.967	×0.810	×1.050	×1.033	5.86%
Triples /BIP	4.03%	÷1.071	×0.810	×1.050	×1.033	3.31%
Home runs /BIP	0.81%	÷1.022	×0.780	—	×1.033	0.64%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 106, 2B 93, 3B 114, K 88, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .397 → .353; ISO .147 → .123; BABIP .405 → .375. 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).

2012 AAAColorado Springs Sky Sox · 280 PAwOBA .338 → .302 (−36)K% 10.4% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.36%	÷0.898	×1.290	—	—	14.88%
BB% (unintentional) /PA	8.21%	÷0.927	×0.710	—	×1.048	6.59%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	27.88%	÷1.006	×0.900	×1.050	×1.048	27.43%
Doubles /BIP	6.19%	÷1.068	×0.810	×1.050	×1.048	5.17%
Triples /BIP	0.88%	÷1.150	×0.810	×1.050	×1.048	0.69%
Home runs /BIP	0.44%	÷0.996	×0.780	—	×1.048	0.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 101, 2B 114, 3B 130, K 80, BB 85 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .338 → .302; ISO .082 → .066; BABIP .348 → .331. 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).

2011 AAAIowa Cubs · 247 PAwOBA .308 → .290 (−19)K% 10.9% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.93%	÷0.965	×1.290	—	—	14.61%
BB% (unintentional) /PA	5.67%	÷1.043	×0.710	—	×1.050	4.05%
HBP% /PA	0.81%	—	×0.980	—	×1.050	0.83%
Singles /BIP	27.00%	÷0.980	×0.900	×1.050	×1.050	27.34%
Doubles /BIP	3.50%	÷1.017	×0.810	×1.050	×1.050	3.07%
Triples /BIP	0.50%	÷1.086	×0.810	×1.050	×1.050	0.41%
Home runs /BIP	1.50%	÷0.934	×0.780	—	×1.050	1.32%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 96, 2B 103, 3B 117, K 93, BB 109 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .308 → .290; ISO .079 → .069; BABIP .308 → .306. 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).

2011 AATennessee Smokies · 202 PAwOBA .382 → .352 (−31)K% 10.9% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.89%	÷0.951	×1.220	—	—	13.98%
BB% (unintentional) /PA	5.45%	÷1.090	×0.680	—	×1.027	3.49%
HBP% /PA	0.00%	—	×0.840	—	×1.027	0.00%
Singles /BIP	29.09%	÷1.029	×0.920	×1.032	×1.027	27.56%
Doubles /BIP	9.09%	÷1.001	×0.910	×1.032	×1.027	8.76%
Triples /BIP	1.21%	÷1.150	×0.880	×1.032	×1.027	0.98%
Home runs /BIP	1.21%	÷0.937	×0.800	—	×1.027	1.06%

Factors used: league row SL. Park (home-season share, regressed): HR 87, 1B 106, 2B 100, 3B 130, K 90, BB 118 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .382 → .352; ISO .134 → .124; BABIP .389 → .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).

2010 A+Daytona Cubs · 600 PAwOBA .317 → .292 (−25)K% 10.2% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.17%	÷1.010	×1.420	—	—	14.30%
BB% (unintentional) /PA	4.83%	÷0.938	×0.750	—	×1.012	3.91%
HBP% /PA	0.17%	—	×0.930	—	×1.012	0.16%
Singles /BIP	29.01%	÷1.017	×0.920	×1.050	×1.012	27.88%
Doubles /BIP	4.87%	÷1.107	×0.960	×1.050	×1.012	4.49%
Triples /BIP	1.01%	÷1.150	×0.810	×1.050	×1.012	0.76%
Home runs /BIP	0.41%	÷1.026	×0.880	—	×1.012	0.35%

Factors used: league row FSL. Park (home-season share, regressed): HR 105, 1B 103, 2B 121, 3B 130, K 102, BB 88 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .317 → .292; ISO .072 → .062; BABIP .346 → .328. 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).

2009 APeoria Chiefs · 168 PAwOBA .326 → .300 (−26)K% 13.1% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.10%	÷1.000	×1.360	—	—	17.81%
BB% (unintentional) /PA	6.55%	÷1.000	×0.690	—	×1.015	4.59%
HBP% /PA	1.19%	—	×0.780	—	×1.015	0.94%
Singles /BIP	32.31%	÷1.000	×0.920	×1.050	×1.015	31.68%
Doubles /BIP	3.08%	÷1.000	×0.830	×1.050	×1.015	2.72%
Triples /BIP	1.54%	÷1.000	×0.910	×1.050	×1.015	1.49%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.015	0.00%

Factors used: level-wide A 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 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .326 → .300; ISO .053 → .048; BABIP .366 → .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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 17 projected seasons	10.5	7,004	129	95	288	348	407	+23	+75	33.8	30.5
/162	664	12	9	+2.2	+7.1	3.2	pk7: 27
#1Howie Kendricklast yr '20 career totals — 15 seasons, 6,421 PA	9.7	6,421	127	126	294	337	430	-6	+29	32.6	27.8
/162	664	13	13	-0.6	+3.0	3.4	pk7: 23
#2Jeff Cirillo'94-'07 * career totals — 14 seasons, 6,136 PA	9.2	6,136	112	63	283*	350*	414*	+14	+34	26.9	27.5
/162	664	12	7	+1.5	+3.7	2.9	pk7: 28
#3Orlando Hudsonlast yr '12 career totals — 11 seasons, 5,413 PA	8.2	5,413	93	85	273	341	412	+17	+34	28.6	26.6
/162	664	11	10	+2.1	+4.2	3.5	pk7: 25
#4Placido Polanco'98-'13 * career totals — 16 seasons, 7,886 PA	11.9	7,886	104	81	288*	334*	392*	+31	+49	29.5	26.1
/162	664	9	7	+2.6	+4.1	2.5	pk7: 23
#5Carlos Baerga'90-'05 * career totals — 14 seasons, 5,895 PA	8.9	5,895	134	59	282*	322*	426*	+12	+25	22.9	23.6
/162	664	15	7	+1.3	+2.8	2.6	pk7: 24
#6Martín Pradolast yr '19 career totals — 13 seasons, 5,812 PA	8.8	5,812	99	40	287	335	412	-3	+10	23.7	23.3
/162	664	11	5	-0.4	+1.2	2.7	pk7: 23

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
DJ LeMahieu (OGILVIE)	39	—	—	—	—	257/329/370	113	314	2	1	20%	9%	101	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Benito Santiago 2004 · MLB	39	54→56	48→50	44→45	47	269/310/416	147	296	15	4	15%	6%	103	+1.6	257/306/402	145	293	16	5	18%	6%	99	+1.2	268/307/424	156	298	19	3	17%	4%	106	+0.6
✕Noe Munoz 2010 · AAA	39	58→62	40	40	51	277/330/371	94	310	8	5	14%	7%	100	+1.3	235/290/320	85	274	7	5	16%	7%	74	-0.6	228/283/311	83	278	8	2	20%	7%	67	-0.4
✕Pedro Castellano 2009 · AAA	39	54→61	46→50	40→45	49	267/318/397	130	296	13	4	15%	6%	102	+1.5	262/307/373	111	307	12	5	18%	6%	93	+0.8	261/305/361	100	309	11	3	19%	5%	90	+0.4
✕Carlos Ruiz 2017 · MLB	38	51→61	41→50	45	56	241/326/339	98	272	7	7	14%	10%	93	+0.8	240/325/373	133	293	13	8	21%	9%	100	+1.3	215/312/352	137	282	13	4	26%	10%	92	+0.2
✕Rafael Castaneda 2007 · AAA	39	56→61	41→45	40	51	268/313/367	100	286	8	5	10%	6%	93	+0.8	240/295/349	109	259	10	6	12%	7%	82	+0.0	222/281/324	102	235	10	3	11%	7%	69	-0.3
✕Jeff Reboulet 2003 · MLB	39	51	41→40	45→40	57	240/326/348	107	291	7	5	19%	11%	94	+0.9	236/308/347	111	276	10	7	17%	9%	87	+0.4	232/304/317	85	271	6	4	16%	8%	80	-0.1
✕So Taguchi 2008 · MLB	39	57→58	40→45	48→50	52	271/329/368	96	300	7	14	12%	7%	99	+1.3	236/304/327	91	265	7	11	13%	7%	81	-0.1	209/282/275	66	238	4	9	14%	7%	60	-0.5
✕Brandon Phillips 2019 · MLB	38	54→60	45→55	43→55	44	267/303/395	128	294	12	10	14%	4%	96	+1.0	229/282/353	124	262	12	8	17%	6%	79	-0.2	189/238/278	89	213	7	0	15%	4%	45	-0.7
✕Adan Amezcua 2012 · AAA	38	51	42→45	42→45	48	245/300/353	109	286	9	6	18%	7%	85	+0.2	229/292/345	116	272	11	6	19%	6%	81	-0.1	213/280/319	105	254	9	3	19%	6%	69	-0.3
✕Brad Ausmus 2008 · MLB	39	50→56	38→45	48→45	54	233/308/313	80	272	5	7	16%	9%	80	-0.2	233/302/324	91	279	8	6	18%	8%	80	-0.2	230/297/304	74	273	7	2	17%	8%	74	-0.2
✕Jose Amador 2019 · AAA	39	46→56	45→50	45	52	230/306/352	122	261	13	5	18%	8%	88	+0.5	223/279/337	114	289	12	8	26%	6%	74	-0.5	204/251/286	82	267	10	3	27%	4%	51	-0.7
✕Jonathan Aceves 2017 · AAA	39	49	43→50	42→30	48	238/305/347	109	285	11	4	20%	7%	86	+0.3	229/290/354	125	278	14	6	22%	7%	82	+0.0	210/267/328	119	248	15	2	22%	6%	65	-0.7
✕Abel Martinez 2016 · AAA	39	51→61	41→45	46→50	47	246/298/348	103	278	8	13	15%	5%	84	+0.1	247/292/335	88	279	8	8	14%	5%	78	-0.3	258/299/321	63	286	6	4	12%	5%	75	-0.2
✕A.J. Pierzynski 2016 · MLB	39	55→62	46→55	36→40	45	272/308/398	126	289	14	2	12%	4%	99	+1.2	243/283/359	116	263	11	5	12%	4%	80	-0.1	213/237/295	82	233	5	2	11%	2%	48	-1.1
✕Jerry Hairston Jr. 2013 · MLB	37	54→55	43→50	42→55	54	263/327/381	119	284	10	7	12%	8%	102	+1.5	237/299/346	109	257	10	6	12%	7%	84	+0.1	208/264/271	63	224	5	0	10%	6%	55	-0.7
✕A.J. Ellis 2018 · MLB	37	45→54	48→45	45→40	54	228/311/370	143	252	17	5	18%	9%	95	+0.9	247/334/371	124	299	12	6	20%	11%	103	+1.5	266/370/339	73	343	3	0	20%	14%	109	+0.6
✕Saul Soto 2019 · AAA	40	51→60	42→55	44→45	54	245/316/353	108	282	10	4	17%	9%	91	+0.7	213/281/344	131	263	15	6	24%	8%	77	-0.3	190/262/314	125	230	15	3	24%	9%	61	-1.3
✕Endy Chavez 2017 · MLB	39	50→60	41→45	46→55	49	241/294/343	102	273	9	10	15%	7%	80	-0.1	265/307/358	93	289	8	5	11%	5%	88	+0.5	290/325/358	67	315	5	1	9%	4%	92	+0.5
✕Mike Redmond 2009 · MLB	38	59	37→40	46→30	49	278/322/353	75	300	4	3	9%	5%	93	+0.8	240/295/328	88	272	6	5	14%	6%	78	-0.3	237/299/289	52	276	0	0	13%	7%	70	-0.2
✕Hector Alvarez 2006 · AAA	40	58	41→40	40→45	42	277/317/374	97	329	8	6	18%	4%	96	+1.0	249/288/342	93	288	8	9	16%	4%	78	-0.3	251/282/322	71	284	5	8	13%	3%	67	-0.6

DJ LeMahieu

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps