Jose Iglesias

SS San Diego Padres

Age 37 R/R 5'11" / 195 lbs MLB HR +5% Svc 15.000 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	33	AAASD	135	.317/.364/.537	4	0	92	—	.262/.295/.429
2024	34	AAANYM	175	.273/.310/.442	7	1	55	—	.220/.247/.327
2024	34	MLBNYM	291	.337/.383/.448	4	6	143	2.6
2025	35	MLBSD	343	.229/.300/.294	3	5	72	-0.4
2026	36	No MLB games played
2027PROJ	37	MLBSD	183	.254/.312/.343	2	3	89	0.4
2028PROJ	38	MLBSD	123	.243/.299/.320	1	1	79	-0.7

Last 3 seasons WAR 2.2 · Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service15.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2022-2025

Speed58

xwOBA35

Bat Spd27

Barrel%10

Avg EV10

CompsRoyce Clayton (age 37) · Willie Bloomquist (age 36) · Jeff Reboulet (age 37)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9489vR 75

AVG/OBP/SLG.254 / .312 / .343

PA183

HR2

K%17

BB%6

BABIP300

ISO90

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2022-2025

CONTACT

xAVG

640.263

POWER

Barrel%

101.4

Avg EV

1084.4

Bat Spd

2768.9

SPEED

Sprint

5827.8

Platoon Splits2024-2025 · 634 PA

vs LHP

vs RHP

Edge

238

396

—

wRC+

128

◀◀L

wOBA

357

289

◀◀L

ISO

122

065

◀◀L

BABIP

362

297

◀◀L

16.4%

14.1%

▶R

BB%

7.1%

4.5%

◀◀L

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

Status FA

MLB Debut 2012

Service 15.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	+0.1	$0.4M	-$0.6M
Totals		$1M		$0.4M	-$0.6M

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)
2010	20	AA	Portland Sea Dogs	—	236	221	63	10	3	0	8	49	3	5	2	285	319	357	676	72	360	21	3	300	76	—	—	—	—	—	—
2010	20	INTL	Peoria Javelinas	—	72	67	18	1	0	0	2	7	1	4	2	269	300	284	584	15	290	10	3	261	63	—	—	—	—	—	—
2011	21	AAA	Pawtucket Red Sox	—	387	357	84	9	0	1	21	58	4	12	4	235	285	269	554	34	279	15	5	254	43	—	—	—	—	—	—
2012	22	MLB	Boston Red Sox	—	77	68	8	2	0	1	4	16	3	1	0	118	200	191	391	74	137	21	5	184	8	-8	+0	+5	+5	+2	0.4
2012	22	AAA	Pawtucket Red Sox	—	396	353	94	9	1	1	27	46	2	12	3	266	322	306	628	40	299	12	7	279	74	—	—	—	—	—	—
2013	23	MLB	Detroit Tigers	—	382	350	106	16	2	3	15	60	11	5	2	303	351	386	737	83	356	16	4	329	112	+5	+0	+9	+6	+8	2.8
2013	23	AAA	Pawtucket Red Sox	—	133	119	24	2	0	4	9	18	1	5	3	202	264	319	583	118	204	14	7	257	47	—	—	—	—	—	—
2015	25	MLB	Detroit Tigers	—	454	416	125	17	3	2	25	44	6	11	8	300	349	370	719	70	330	10	6	321	104	+2	-1	+7	+5	+10	2.4
2016	26	MLB	Detroit Tigers	—	513	467	119	26	0	4	28	50	8	7	4	255	308	336	644	81	276	10	5	288	83	-10	-0	+12	+6	+11	1.8
2016	26	AAA	Toledo Mud Hens	—	16	16	6	1	0	1	0	0	0	0	0	375	375	625	1.000	250	333	0	0	437	148	—	—	—	—	—	—
2017	27	MLB	Detroit Tigers	—	489	463	118	33	1	6	21	65	1	7	4	255	289	369	658	114	285	13	4	291	87	-8	-0	+7	+5	+11	1.6
2018	28	MLB	Detroit Tigers	—	464	432	116	31	3	5	19	47	8	15	6	269	312	389	700	120	291	10	4	310	99	-0	+1	+2	+5	+10	1.8
2019	29	MLB	Cincinnati Reds	—	530	504	145	21	3	11	20	70	3	6	6	288	319	407	726	119	315	13	4	322	98	-1	-1	+14	+6	+11	2.9
2020	30	MLB	Baltimore Orioles	—	150	142	53	17	0	3	3	17	4	0	0	373	403	556	959	183	407	11	2	420	168	+12	+0	+3	+2	+3	2.0
2021	31	MLB	Boston Red Sox	—	511	483	131	27	2	9	21	75	6	5	2	271	310	391	701	120	305	15	4	313	92	-5	+0	+4	+5	+11	1.7
2022	32	MLB	Colorado Rockies	—	467	439	128	30	0	3	17	56	8	2	3	292	330	380	710	89	326	12	4	318	95	-3	-1	+2	+5	+10	1.4
2023	33	AAA	El Paso Chihuahuas	—	135	123	39	13	1	4	9	22	0	0	1	317	364	537	900	220	350	16	7	385	92	—	—	—	—	—	—
2024	34	MLB	New York Mets	—	291	270	91	16	1	4	12	39	8	6	2	337	383	448	831	111	382	13	4	371	143	+15	+0	+2	+2	+6	2.6
2024	34	AAA	Syracuse Mets	—	175	165	45	7	0	7	9	29	0	1	0	273	310	442	753	170	292	17	5	331	55	—	—	—	—	—	—
2025	35	MLB	San Diego Padres	—	343	306	70	11	0	3	24	56	7	5	1	229	300	294	594	65	269	16	7	271	72	-11	+1	-2	+1	+7	-0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4671	4340	1210	247	15	54	209	595	73	70	38	279	323	380	703	101	311	13	4	313	98	-11	-1	+66	+52	+101	21.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	20	AA MLE	Portland Sea Dogs	—	236	224	63	8	3	0	5	60	3	5	2	281	306	344	650	62	365	25	2	281	76	—	—	—	—	—	—
2011	21	AAA MLE	Pawtucket Red Sox	—	387	363	82	8	0	1	15	72	4	12	4	226	264	256	521	30	276	19	4	232	43	—	—	—	—	—	—
2012	22	MLB MLE	Boston Red Sox	—	77	68	8	2	0	1	4	16	3	1	0	118	200	191	391	74	137	21	5	180	8	-8	+0	+5	+5	+2	0.4
2012	22	AAA MLE	Pawtucket Red Sox	—	396	360	100	8	1	1	20	56	2	12	3	278	319	314	633	36	310	14	5	277	74	—	—	—	—	—	—
2013	23	MLB MLE	Detroit Tigers	—	382	350	107	16	2	3	15	60	11	5	2	306	354	389	742	83	356	16	4	333	112	+5	+0	+9	+6	+8	2.8
2013	23	AAA MLE	Pawtucket Red Sox	—	133	122	25	2	0	3	6	21	1	5	3	205	248	295	543	90	211	16	5	238	47	—	—	—	—	—	—
2015	25	MLB MLE	Detroit Tigers	—	454	418	126	17	3	2	23	44	6	11	8	301	347	371	718	69	330	10	5	323	104	+2	-1	+7	+5	+10	2.4
2016	26	MLB MLE	Detroit Tigers	—	513	468	121	27	0	4	27	50	8	7	4	259	310	342	652	83	276	10	5	291	83	-10	-0	+12	+6	+11	1.8
2016	26	AAA MLE	Toledo Mud Hens	—	16	16	6	1	0	1	0	0	0	0	0	375	375	625	1.000	250	303	0	0	387	148	—	—	—	—	—	—
2017	27	MLB MLE	Detroit Tigers	—	489	463	120	34	1	6	21	65	1	7	4	259	293	376	669	117	285	13	4	296	87	-8	-0	+7	+5	+11	1.6
2018	28	MLB MLE	Detroit Tigers	—	464	432	118	32	3	5	19	47	8	15	6	273	316	396	712	123	291	10	4	315	99	-0	+1	+2	+5	+10	1.8
2019	29	MLB MLE	Cincinnati Reds	—	530	507	143	21	3	10	17	70	3	6	6	282	309	394	704	112	315	13	3	314	98	-1	-1	+14	+6	+11	2.9
2020	30	MLB MLE	Baltimore Orioles	—	150	142	53	17	0	3	3	17	4	0	0	373	403	556	959	183	407	11	2	416	168	+12	+0	+3	+2	+3	2.0
2021	31	MLB MLE	Boston Red Sox	—	511	483	127	24	2	9	21	75	6	5	2	263	302	377	679	114	305	15	4	304	92	-5	+0	+4	+5	+11	1.7
2022	32	MLB MLE	Colorado Rockies	—	467	439	124	29	0	3	17	56	8	2	3	282	321	369	690	87	326	12	4	308	95	-3	-1	+2	+5	+10	1.4
2023	33	AAA MLE	El Paso Chihuahuas	—	135	126	33	10	1	3	6	27	0	0	1	262	295	429	724	167	294	20	4	304	92	—	—	—	—	—	—
2024	34	MLB MLE	New York Mets	—	291	271	94	17	1	4	11	39	8	6	2	347	390	461	851	114	382	13	4	379	143	+15	+0	+2	+2	+6	2.6
2024	34	AAA MLE	Syracuse Mets	—	175	168	37	6	0	4	6	36	0	1	0	220	247	327	575	107	251	21	3	250	55	—	—	—	—	—	—
2025	35	MLB MLE	San Diego Padres	—	343	306	71	12	0	3	24	56	7	5	1	232	303	301	603	69	269	16	7	274	72	-11	+1	-2	+1	+7	-0.4
2010	20	AA MLE	2 teams	—	308	291	81	11	3	0	7	78	4	9	4	278	305	337	641	58	372	25	2	281	76	—	—	—	—	—	—
2010	20	AA RAW	2 teams	—	308	288	81	11	3	0	10	56	4	9	4	281	315	340	655	59	342	18	3	291	76	—	—	—	—	—	—
2011	21	AAA MLE	Pawtucket Red Sox	—	387	363	82	8	0	1	15	72	4	12	4	226	264	256	521	30	279	19	4	232	43	—	—	—	—	—	—
2011	21	AAA RAW	Pawtucket Red Sox	—	387	357	84	9	0	1	21	58	4	12	4	235	285	269	554	34	279	15	5	254	43	—	—	—	—	—	—
2012	22	AAA MLE	2 teams	—	473	428	108	10	1	2	24	72	5	13	3	252	300	294	594	42	295	15	5	261	63	—	—	—	—	—	—
2012	22	AAA RAW	2 teams	—	473	421	102	11	1	2	31	62	5	13	3	242	302	287	589	45	276	13	7	264	63	—	—	—	—	—	—
2013	23	MLB MLE	2 teams	—	515	472	133	18	2	7	21	81	12	10	5	282	329	373	702	91	326	16	4	309	95	-3	+0	+9	+6	+11	2.3
2013	23	MLB RAW	2 teams	—	515	469	130	18	2	7	24	78	12	10	5	277	329	369	698	92	318	15	5	310	95	-3	+0	+9	+6	+11	2.3
2015	25	MLB MLE	Detroit Tigers	—	454	418	126	17	3	2	23	44	6	11	8	301	347	371	718	69	331	10	5	323	104	+2	-1	+7	+5	+10	2.4
2015	25	MLB RAW	Detroit Tigers	—	454	416	125	17	3	2	25	44	6	11	8	300	349	370	719	70	330	10	6	321	104	+2	-1	+7	+5	+10	2.4
2016	26	MLB MLE	2 teams	—	529	484	126	27	0	5	27	50	8	7	4	260	310	347	657	87	280	9	5	294	85	-10	-0	+12	+6	+11	1.9
2016	26	MLB RAW	2 teams	—	529	483	125	27	0	5	28	50	8	7	4	259	310	346	656	87	278	9	5	292	85	-10	-0	+12	+6	+11	1.9
2017	27	MLB MLE	Detroit Tigers	—	489	463	120	34	1	6	21	65	1	7	4	259	293	376	669	117	290	13	4	296	87	-8	-0	+7	+5	+11	1.6
2017	27	MLB RAW	Detroit Tigers	—	489	463	118	33	1	6	21	65	1	7	4	255	289	369	658	114	285	13	4	291	87	-8	-0	+7	+5	+11	1.6
2018	28	MLB MLE	Detroit Tigers	—	464	432	118	32	3	5	19	47	8	15	6	273	316	396	712	123	296	10	4	315	99	-0	+1	+2	+5	+10	1.8
2018	28	MLB RAW	Detroit Tigers	—	464	432	116	31	3	5	19	47	8	15	6	269	312	389	700	120	291	10	4	310	99	-0	+1	+2	+5	+10	1.8
2019	29	MLB MLE	Cincinnati Reds	—	530	507	143	21	3	10	17	70	3	6	6	282	309	394	704	112	310	13	3	314	98	-1	-1	+14	+6	+11	2.9
2019	29	MLB RAW	Cincinnati Reds	—	530	504	145	21	3	11	20	70	3	6	6	288	319	407	726	119	315	13	4	322	98	-1	-1	+14	+6	+11	2.9
2020	30	MLB MLE	Baltimore Orioles	—	150	142	53	17	0	3	3	17	4	0	0	373	403	556	959	183	407	11	2	416	168	+12	+0	+3	+2	+3	2.0
2020	30	MLB RAW	Baltimore Orioles	—	150	142	53	17	0	3	3	17	4	0	0	373	403	556	959	183	407	11	2	420	168	+12	+0	+3	+2	+3	2.0
2021	31	MLB MLE	Boston Red Sox	—	511	483	127	24	2	9	21	75	6	5	2	263	302	377	679	114	295	15	4	304	92	-5	+0	+4	+5	+11	1.7
2021	31	MLB RAW	Boston Red Sox	—	511	483	131	27	2	9	21	75	6	5	2	271	310	391	701	120	305	15	4	313	92	-5	+0	+4	+5	+11	1.7
2022	32	MLB MLE	Colorado Rockies	—	467	439	124	29	0	3	17	56	8	2	3	282	321	369	690	87	316	12	4	308	95	-3	-1	+2	+5	+10	1.4
2022	32	MLB RAW	Colorado Rockies	—	467	439	128	30	0	3	17	56	8	2	3	292	330	380	710	89	326	12	4	318	95	-3	-1	+2	+5	+10	1.4
2023	33	AAA MLE	El Paso Chihuahuas	—	135	126	33	10	1	3	6	27	0	0	1	262	295	429	724	167	303	20	4	304	92	—	—	—	—	—	—
2023	33	AAA RAW	El Paso Chihuahuas	—	135	123	39	13	1	4	9	22	0	0	1	317	364	537	900	220	350	16	7	385	92	—	—	—	—	—	—
2024	34	MLB MLE	2 teams	—	466	439	131	23	1	8	17	75	8	7	2	298	336	410	746	112	344	16	4	331	110	+6	+1	+2	+2	+10	2.0
2024	34	MLB RAW	2 teams	—	466	435	136	23	1	11	21	68	8	7	2	313	356	446	802	133	349	15	5	356	110	+6	+1	+2	+2	+10	2.0
2025	35	MLB MLE	San Diego Padres	—	343	306	71	12	0	3	24	56	7	5	1	232	303	301	603	69	273	16	7	274	72	-11	+1	-2	+1	+7	-0.4
2025	35	MLB RAW	San Diego Padres	—	343	306	70	11	0	3	24	56	7	5	1	229	300	294	594	65	269	16	7	271	72	-11	+1	-2	+1	+7	-0.4
2010	20	AA MLE	2 teams	—	308	294	81	11	3	0	7	78	4	9	4	276	305	333	638	58	365	25	2	281	76	—	—	—	—	—	—
2011	21	AAA MLE	Pawtucket Red Sox	—	387	365	82	8	0	1	15	72	4	12	4	225	264	255	519	30	276	19	4	232	43	—	—	—	—	—	—
2012	22	AAA MLE	2 teams	—	473	441	108	10	1	2	24	72	5	13	3	245	300	286	585	41	282	15	5	261	63	—	—	—	—	—	—
2013	23	MLB MLE	2 teams	—	515	477	133	18	2	7	21	81	12	10	5	279	329	369	698	90	319	16	4	309	95	—	—	—	—	—	—
2015	25	MLB MLE	Detroit Tigers	—	454	422	126	17	3	2	23	44	6	11	8	299	347	367	714	69	330	10	5	323	104	—	—	—	—	—	—
2016	26	MLB MLE	2 teams	—	529	489	126	27	0	5	27	50	8	7	4	258	310	344	654	86	277	9	5	294	85	—	—	—	—	—	—
2017	27	MLB MLE	Detroit Tigers	—	489	464	120	34	1	6	21	65	1	7	4	259	293	375	668	116	285	13	4	296	87	—	—	—	—	—	—
2018	28	MLB MLE	Detroit Tigers	—	464	434	118	32	3	5	19	47	8	15	6	272	316	394	710	122	291	10	4	315	99	—	—	—	—	—	—
2019	29	MLB MLE	Cincinnati Reds	—	530	505	143	21	3	10	17	70	3	6	6	283	309	396	705	113	315	13	3	314	98	—	—	—	—	—	—
2020	30	MLB MLE	Baltimore Orioles	—	150	142	53	17	0	3	3	17	4	0	0	373	403	556	959	183	407	11	2	416	168	—	—	—	—	—	—
2021	31	MLB MLE	Boston Red Sox	—	511	479	127	24	2	9	21	75	6	5	2	265	302	380	682	115	305	15	4	304	92	—	—	—	—	—	—
2022	32	MLB MLE	Colorado Rockies	—	467	439	124	29	0	3	17	56	8	2	3	282	321	369	690	87	326	12	4	308	95	—	—	—	—	—	—
2023	33	AAA MLE	El Paso Chihuahuas	—	135	128	33	10	1	3	6	27	0	0	1	258	295	422	717	164	294	20	4	304	92	—	—	—	—	—	—
2024	34	MLB MLE	2 teams	—	466	438	131	23	1	8	17	75	8	7	2	299	336	411	747	112	333	16	4	331	110	—	—	—	—	—	—
2025	35	MLB MLE	San Diego Padres	—	343	309	71	12	0	3	24	56	7	5	1	230	303	298	600	68	269	16	7	274	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	MLB MLE	2 teams	—	466	438	131	23	1	8	17	75	8	7	2	299	336	411	747	112	333	16	4	331	110	—	—	—	—	—	—
2025	35	MLB MLE	San Diego Padres	—	343	309	71	12	0	3	24	56	7	5	1	230	303	298	600	68	269	16	7	274	72	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	37	MLB MLE	SD	100%	291	267	68	12	1	3	17	52	5	5	1	258	315	350	665	91	306	18	6	300	89	-4	+1	+0	+3	+6	0.1
▸ 2027 — real world (MLB)
2027	37	MLB CTX	SD	100%	183	167	43	7	1	2	11	32	3	3	1	254	312	343	655	89	300	17	6	296	89	-2	+0	+0	+2	+4	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	38	MLB MLE	SD	100%	123	113	28	5	0	1	7	23	2	1	0	247	303	326	628	78	297	19	6	285	79	-3	+0	-8	+1	+3	-0.7
2028	38	MLB CTX	SD	100%	123	113	27	4	0	1	7	23	2	1	0	243	299	320	619	76	292	19	6	281	79	-3	+0	-8	+1	+3	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4794	4453	1237	251	15	55	216	618	75	71	38	278	322	378	700	100	311	13	5	312	89	-14	-1	+58	+53	+104	20.5
/ 162G	—	A+C		—	650	604	167	34	2	7	29	84	10	10	5	276	320	374	695	98	310	13	4	312	89	-2	-0	+8	+7	+14	2.8
Career	—	MLE		—	6527	6073	1648	306	21	70	280	940	89	113	54	271	313	363	676	92	309	14	4	300	89	-17	-1	+59	+55	+108	20.9
/ 162G	—	MLE		—	650	605	164	30	2	7	28	94	9	11	5	271	314	362	676	91	309	14	4	300	89	-2	-0	+8	+7	+14	2.7

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 AAASyracuse Mets · 175 PAwOBA .323 → .250 (−73)K% 16.6% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.57%	÷0.968	×1.200	—	—	20.55%
BB% (unintentional) /PA	5.14%	÷0.933	×0.690	—	×0.940	3.57%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	22.79%	÷1.006	×0.930	×1.023	×0.940	20.27%
Doubles /BIP	5.15%	÷0.972	×0.830	×1.023	×0.940	4.23%
Triples /BIP	0.00%	÷0.900	×0.970	×1.023	×0.940	0.00%
Home runs /BIP	5.15%	÷1.059	×0.700	—	×0.940	3.20%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .323 → .250; ISO .170 → .111; BABIP .292 → .251. 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 AAAEl Paso Chihuahuas · 135 PAwOBA .382 → .304 (−78)K% 16.3% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.30%	÷0.985	×1.200	—	—	19.86%
BB% (unintentional) /PA	6.67%	÷0.963	×0.690	—	×0.942	4.50%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	20.79%	÷0.958	×0.930	×0.982	×0.942	18.67%
Doubles /BIP	12.87%	÷0.975	×0.830	×0.982	×0.942	10.14%
Triples /BIP	0.99%	÷1.150	×0.970	×0.982	×0.942	0.77%
Home runs /BIP	3.96%	÷1.052	×0.700	—	×0.942	2.48%

Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 92, 2B 95, 3B 130, K 97, BB 93 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .382 → .304; ISO .220 → .159; BABIP .350 → .294. 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 AAAToledo Mud Hens · 16 PAwOBA .423 → .387 (−36)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.009	×1.200	—	—	0.00%
BB% (unintentional) /PA	0.00%	÷1.004	×0.690	—	×1.018	0.00%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	25.00%	÷1.001	×0.930	—	×1.018	23.64%
Doubles /BIP	6.25%	÷1.092	×0.830	—	×1.018	4.83%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.018	0.00%
Home runs /BIP	6.25%	÷0.899	×0.840	—	×1.018	5.94%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 118, 3B 130, K 102, BB 101 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .423 → .387; ISO .250 → .227; BABIP .333 → .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).

2013 AAAPawtucket Red Sox · 133 PAwOBA .252 → .238 (−14)K% 13.5% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.53%	÷1.018	×1.200	—	—	15.96%
BB% (unintentional) /PA	6.77%	÷1.069	×0.690	—	×1.050	4.59%
HBP% /PA	0.75%	—	×0.940	—	×1.050	0.74%
Singles /BIP	17.82%	÷0.964	×0.930	×1.050	×1.050	18.95%
Doubles /BIP	1.98%	÷1.083	×0.830	×1.050	×1.050	1.67%
Triples /BIP	0.00%	÷0.957	×0.970	×1.050	×1.050	0.00%
Home runs /BIP	3.96%	÷1.068	×0.840	—	×1.050	3.27%

Factors used: league row IL. Park (home-season share, regressed): HR 114, 1B 93, 2B 117, 3B 91, K 104, BB 114 — 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 .252 → .238; ISO .118 → .101; BABIP .204 → .211. 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 AAAPawtucket Red Sox · 396 PAwOBA .276 → .277 (+1)K% 11.6% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.62%	÷0.985	×1.200	—	—	14.15%
BB% (unintentional) /PA	6.82%	÷0.974	×0.690	—	×1.050	5.07%
HBP% /PA	0.51%	—	×0.940	—	×1.050	0.50%
Singles /BIP	27.04%	÷0.975	×0.930	×1.050	×1.050	28.42%
Doubles /BIP	2.93%	÷1.031	×0.830	×1.050	×1.050	2.60%
Triples /BIP	0.33%	÷0.982	×0.970	×1.050	×1.050	0.35%
Home runs /BIP	0.33%	÷1.280	×0.840	—	×1.050	0.22%

Factors used: league row IL. Park (home-season share, regressed): HR 156, 1B 95, 2B 106, 3B 96, K 97, BB 95 — 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 ×1.050.

Result: wOBA .276 → .277; ISO .040 → .036; BABIP .299 → .310. 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 AAAPawtucket Red Sox · 387 PAwOBA .247 → .232 (−15)K% 15.0% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.99%	÷0.971	×1.200	—	—	18.52%
BB% (unintentional) /PA	5.43%	÷0.988	×0.690	—	×1.050	3.98%
HBP% /PA	1.03%	—	×0.940	—	×1.050	1.02%
Singles /BIP	24.75%	÷1.025	×0.930	×1.050	×1.050	24.77%
Doubles /BIP	3.01%	÷1.007	×0.830	×1.050	×1.050	2.73%
Triples /BIP	0.00%	÷0.900	×0.970	×1.050	×1.050	0.00%
Home runs /BIP	0.33%	÷0.955	×0.840	—	×1.050	0.31%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 101, 3B 80, K 94, BB 98 — 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 ×1.050.

Result: wOBA .247 → .232; ISO .034 → .030; BABIP .279 → .276. 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 AAPortland Sea Dogs · 236 PAwOBA .294 → .281 (−12)K% 20.8% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.76%	÷1.001	×1.220	—	—	25.30%
BB% (unintentional) /PA	2.97%	÷1.009	×0.700	—	×1.050	2.16%
HBP% /PA	1.27%	—	×0.850	—	×1.050	1.13%
Singles /BIP	29.07%	÷0.989	×0.970	×1.023	×1.050	30.64%
Doubles /BIP	5.81%	÷1.093	×0.860	×1.023	×1.050	4.91%
Triples /BIP	1.74%	÷1.150	×0.950	×1.023	×1.050	1.55%
Home runs /BIP	0.00%	÷1.095	×0.780	—	×1.050	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 119, 1B 98, 2B 119, 3B 130, K 100, BB 102 — 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 ×1.023.

Result: wOBA .294 → .281; ISO .072 → .061; BABIP .360 → .365. 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
#1Jack Wilsonlast yr '12 career totals — 12 seasons, 5,339 PA	8.0	5,339	61	43	265	306	366	+39	+97	20.3	21.4
/162	664	8	5	+4.8	+12.0	2.5	pk7: 22
#2Rick Burleson'74-'87 * career totals — 12 seasons, 5,717 PA	8.6	5,717	50	72	269*	329*	388*	+51	+43	17.6	17.2
/162	664	6	8	+6.0	+5.0	2.0	pk7: 17
#3Jordy Mercerlast yr '21 career totals — 9 seasons, 3,394 PA	5.1	3,394	66	13	257	315	387	+35	+50	17.0	16.7
/162	664	13	3	+6.9	+9.8	3.3	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 14 projected seasons	7.5	4,977	57	74	278	319	378	+50	+87	16.7	15.1
/162	664	8	10	+6.6	+11.6	2.2	pk7: 13
#4Ted Sizemore'69-'80 * career totals — 11 seasons, 5,648 PA	8.5	5,648	23	59	258*	321*	347*	+22	+57	13.0	14.1
/162	664	3	7	+2.5	+6.7	1.5	pk7: 15
#5Glenn Beckert'65-'75 * career totals — 10 seasons, 5,572 PA	8.4	5,572	22	49	282*	321*	376*	+20	+44	11.7	12.2
/162	664	3	6	+2.4	+5.2	1.4	pk7: 13
#6David Fletcherlast yr '23 career totals — 6 seasons, 2,180 PA	3.3	2,180	16	29	277	323	359	+10	+34	8.9	8.9
/162	664	5	9	+3.1	+10.3	2.7	pk7: 9

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
Jose Iglesias (OGILVIE)	37	—	—	—	—	256/313/346	90	306	2	3	18%	6%	89	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Royce Clayton 2007 · MLB	37	55→57	39→45	49→50	47	258/308/350	92	311	4	14	18%	6%	87	+0.4	238/292/340	102	304	7	11	22%	7%	79	-0.2	222/273/305	84	305	2	5	26%	6%	64	-0.5
✕Willie Bloomquist 2014 · MLB	36	59→55	37→40	44→60	47	278/318/358	80	316	4	13	13%	5%	92	+0.7	247/287/335	88	297	7	8	19%	5%	76	-0.4	274/290/342	68	352	4	4	23%	2%	78	-0.1
✕Jeff Reboulet 2001 · MLB	37	50	38→40	48→40	57	235/313/313	78	275	5	10	16%	10%	81	-0.1	241/324/347	106	291	7	5	18%	11%	93	+0.8	244/328/348	104	292	7	2	17%	10%	96	+0.5
✕Miguel Cairo 2011 · MLB	37	52→58	42→45	52→55	48	251/301/357	106	280	9	11	14%	6%	86	+0.3	238/292/361	123	262	12	11	14%	6%	84	+0.2	229/281/348	119	248	12	10	13%	5%	77	-0.1
✕Mario Ivan Santana 2013 · AAA	37	48→58	39→40	46→45	50	229/278/314	84	254	7	6	13%	6%	68	-1.0	214/265/284	70	242	6	4	14%	6%	56	-1.9	205/255/252	47	231	4	1	13%	5%	42	-1.2
✕Domingo Castro 2017 · AAA	37	51→61	36→40	46→50	46	239/281/302	63	274	4	7	14%	5%	65	-1.2	244/298/325	81	285	6	10	16%	6%	78	-0.3	291/342/324	33	329	2	9	11%	5%	88	+0.1
✕Heber Gomez 2015 · AAA	37	53→61	36→40	44→50	44	250/281/317	66	280	4	8	12%	4%	68	-1.0	234/267/305	71	262	5	6	12%	4%	61	-1.5	228/260/284	56	255	3	2	11%	3%	52	-0.7
✕Hector Castaneda 2009 · AAA	37	53	37→30	45	52	246/323/314	67	301	4	7	19%	9%	85	+0.2	240/324/312	72	292	5	7	18%	10%	85	+0.2	240/335/291	51	290	3	3	16%	12%	83	+0.0
✕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
✕Miguel Flores 2008 · AAA	37	55→58	38→30	54→55	52	259/309/333	74	274	5	21	8%	6%	83	+0.1	253/303/325	72	277	5	16	10%	6%	79	-0.2	273/324/328	55	298	1	14	8%	7%	84	+0.1
✕Olmo Rosario 2017 · AAA	36	56→60	40→45	46→50	47	270/307/363	93	294	8	14	12%	5%	90	+0.6	260/304/358	98	283	8	11	11%	5%	87	+0.4	264/310/358	93	283	8	6	10%	5%	88	+0.3
✕Issmael Salas 2019 · AAA	37	48	43→45	45→50	48	231/281/339	108	252	10	6	14%	6%	75	-0.5	233/275/355	122	258	13	6	15%	5%	76	-0.4	233/267/345	112	252	13	1	14%	4%	70	-0.5
✕Doug Bernier 2017 · AAA	37	46→52	40	42→45	44	223/276/313	90	281	9	7	24%	6%	67	-1.1	214/268/306	92	282	9	7	26%	6%	63	-1.4	186/236/233	47	249	5	0	26%	5%	31	-1.6
✕Ryan Hanigan 2017 · MLB	36	44→54	41→40	47→40	51	215/296/310	96	260	9	4	21%	9%	75	-0.5	219/284/309	90	283	9	5	24%	7%	70	-0.9	229/291/287	58	311	6	0	26%	7%	72	-0.2
✕Brad Ausmus 2006 · MLB	37	51→56	38→45	42→45	54	241/306/320	78	266	6	6	12%	8%	80	-0.2	231/304/310	79	270	5	6	15%	9%	77	-0.3	230/302/311	81	278	6	6	18%	8%	77	-0.1
✕Carlos Alberto Gastelum 2017 · AAA	37	54→64	35→40	46→55	49	253/305/309	56	282	3	7	12%	6%	76	-0.4	246/294/315	69	278	4	7	13%	5%	74	-0.6	245/289/300	55	276	3	4	12%	4%	65	-0.5
✕Agustin Murillo 2019 · AAA	37	49→59	41→45	47→55	49	237/287/332	95	262	9	14	14%	6%	76	-0.4	228/283/339	111	259	12	15	17%	6%	76	-0.4	222/277/317	95	248	12	16	16%	5%	68	-0.8
✕So Taguchi 2007 · MLB	38	55→58	42→45	52→50	50	265/317/373	108	297	8	16	14%	7%	96	+1.0	253/316/344	91	283	7	13	13%	7%	89	+0.5	244/311/315	71	273	5	11	12%	7%	81	-0.0
✕Alcides Escobar 2022 · MLB	35	51→61	43→45	51→55	43	249/295/368	119	295	10	7	19%	5%	87	+0.4	239/292/353	114	299	9	9	22%	6%	82	+0.0	221/262/291	71	297	0	5	24%	4%	56	-0.4
✕Mike Benjamin 2002 · MLB	36	51	44→45	47→50	46	249/300/374	125	293	9	12	18%	6%	90	+0.6	213/273/318	105	267	9	8	23%	7%	68	-1.0	148/200/180	33	198	0	0	24%	5%	8	-1.2

Jose Iglesias

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps