Kevin Pillar

CF Texas Rangers

Age 38 R/R 6'0" / 210 lbs MLB HR +15%BB +5% Svc 14.000 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	34	MLBATL	206	.228/.251/.416	9	4	81	0.0
2024	35	MLBLAA	314	.229/.294/.377	8	12	89	0.5
2025	36	MLBTEX	43	.209/.209/.256	0	3	27	-0.3
2026	37	No MLB games played
2027PROJ	38	MLBTEX	89	.235/.288/.379	2	3	85	0.1
2028PROJ	39	MLBTEX	80	.223/.274/.352	2	1	74	-0.9

Last 3 seasons WAR 0.2 · Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service14.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

Speed73

Bat Spd29

Barrel%27

xwOBA26

Avg EV10

CompsJolbert Cabrera (age 38) · Robert Perez (age 38) · Ray Martinez (age 38)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9085vR 72

AVG/OBP/SLG.235 / .288 / .379

PA89

HR2

K%22

BB%6

BABIP278

ISO122

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2023-2025

CONTACT

xAVG

240.230

POWER

Barrel%

275.2

Avg EV

1085.9

Bat Spd

2969.1

SPEED

Sprint

7328.4

Platoon Splits2024-2025 · 349 PA

vs LHP

vs RHP

Edge

160

189

—

wRC+

115

◀◀L

wOBA

338

247

◀◀L

ISO

161

119

◀◀L

BABIP

343

203

◀◀L

18.1%

24.9%

◀◀L

BB%

3.1%

5.8%

▶▶R

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

Status FA

MLB Debut 2013

Service 14.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$0.0M	-$1M

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)
2011	22	ROK	Bluefield Blue Jays	—	256	236	82	17	3	7	10	36	3	8	4	347	382	534	915	186	383	14	4	391	81	—	—	—	—	—	—
2012	23	A+	Dunedin Blue Jays	—	178	164	53	8	2	1	5	17	2	16	3	323	351	415	766	91	342	10	3	329	84	—	—	—	—	—	—
2012	23	A	Lansing Lugnuts	—	375	335	108	20	4	5	35	53	3	35	6	322	391	451	842	128	371	14	9	375	86	—	—	—	—	—	—
2012	23	INTL	Salt River Rafters	—	67	62	23	1	0	1	3	13	1	8	2	371	409	435	845	65	458	19	4	376	141	—	—	—	—	—	—
2013	24	MLB	Toronto Blue Jays	—	110	102	21	4	0	3	4	29	2	0	1	206	250	333	583	127	257	26	4	257	60	-5	-0	+0	-8	+2	-1.1
2013	24	AAA	Buffalo Bisons	—	218	201	60	19	4	4	12	39	2	8	5	299	344	493	837	194	350	18	6	362	103	—	—	—	—	—	—
2013	24	AA	New Hampshire Fisher Cats	—	327	304	95	20	2	5	19	31	4	15	8	312	361	441	802	128	336	9	6	358	96	—	—	—	—	—	—
2013	24	INTL	Leones del Escogido	—	67	66	15	2	0	0	1	9	0	4	1	227	239	258	496	30	263	13	1	224	38	—	—	—	—	—	—
2014	25	MLB	Toronto Blue Jays	—	122	116	31	9	0	2	4	28	1	1	2	267	298	397	694	129	333	23	3	306	93	-1	-1	+0	-6	+3	-0.5
2014	25	AAA	Buffalo Bisons	—	434	405	131	39	3	10	21	48	4	27	6	323	363	509	871	185	345	11	5	380	119	—	—	—	—	—	—
2015	26	MLB	Toronto Blue Jays	—	628	586	163	31	2	12	28	85	5	25	4	278	317	399	716	121	306	14	4	315	98	-1	+3	+11	+2	+14	2.9
2016	27	MLB	Toronto Blue Jays	—	584	548	146	35	2	7	24	90	6	14	6	266	304	376	680	109	306	15	4	302	90	-7	+0	+7	+2	+13	1.5
2017	28	MLB	Toronto Blue Jays	—	632	587	150	37	1	16	33	95	6	15	6	256	302	404	706	148	280	15	5	311	96	-3	+1	+1	+2	+14	1.5
2018	29	MLB	Toronto Blue Jays	—	542	512	129	40	2	15	18	98	6	14	3	252	285	426	711	174	281	18	3	310	96	-3	+2	+1	+2	+12	1.3
2019	30	MLB	San Francisco Giants	—	645	611	158	37	3	21	18	89	9	14	5	259	290	432	722	173	270	14	3	315	101	+1	+1	-3	+2	+14	1.6
2020	31	MLB	Colorado Rockies	—	223	208	60	12	3	6	13	41	2	5	2	288	336	462	798	173	335	18	6	352	109	+2	+0	-1	+1	+5	0.7
2021	32	MLB	New York Mets	—	347	325	75	11	2	15	11	81	10	4	3	231	277	415	693	185	261	23	3	306	97	-1	-0	-0	+1	+8	0.7
2022	33	AAA	Oklahoma City Dodgers	—	176	149	47	7	3	10	20	22	3	2	1	315	407	604	1.011	289	306	12	11	427	109	—	—	—	—	—	—
2023	34	MLB	Atlanta Braves	—	206	197	45	10	0	9	6	50	0	4	1	228	251	416	667	188	255	24	3	288	81	-5	+0	+2	-2	+4	0.0
2024	35	MLB	Los Angeles Angels	—	314	284	65	16	1	8	16	69	10	12	3	229	294	377	670	148	271	22	5	298	89	-4	+1	-0	+1	+7	0.5
2025	36	MLB	Texas Rangers	—	43	43	9	2	0	0	0	8	0	3	0	209	209	256	465	47	257	19	0	207	27	-4	+1	-1	+0	+1	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4396	4119	1052	244	16	114	175	763	57	111	36	255	295	405	701	150	286	17	4	308	95	-28	+8	+16	-2	+95	9.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	22	ROK MLE	Bluefield Blue Jays	—	256	240	62	12	2	5	6	51	3	8	4	258	285	388	673	129	295	20	2	288	81	—	—	—	—	—	—
2012	23	A+ MLE	Dunedin Blue Jays	—	178	165	48	7	2	1	4	24	2	16	3	291	316	376	692	85	303	13	2	292	84	—	—	—	—	—	—
2012	23	A MLE	Lansing Lugnuts	—	375	348	92	16	3	4	22	76	3	35	6	264	314	362	676	98	324	20	6	296	86	—	—	—	—	—	—
2013	24	MLB MLE	Toronto Blue Jays	—	110	102	21	4	0	3	4	29	2	0	1	206	250	333	583	127	257	26	4	257	60	-5	-0	+0	-8	+2	-1.1
2013	24	AAA MLE	Buffalo Bisons	—	218	204	55	15	4	4	9	48	2	8	5	270	307	441	748	172	327	22	4	321	103	—	—	—	—	—	—
2013	24	AA MLE	New Hampshire Fisher Cats	—	327	310	88	16	2	4	13	39	4	15	8	284	321	387	708	103	316	12	4	310	96	—	—	—	—	—	—
2014	25	MLB MLE	Toronto Blue Jays	—	122	116	31	9	0	2	4	28	1	1	2	267	298	397	694	129	333	23	3	306	93	-1	-1	+0	-6	+3	-0.5
2014	25	AAA MLE	Buffalo Bisons	—	434	414	128	35	3	9	12	61	4	27	6	309	335	473	808	164	335	14	3	344	119	—	—	—	—	—	—
2015	26	MLB MLE	Toronto Blue Jays	—	628	587	162	31	2	12	27	85	5	25	4	276	313	397	710	121	306	14	4	313	98	-1	+3	+11	+2	+14	2.9
2016	27	MLB MLE	Toronto Blue Jays	—	584	548	145	35	2	7	24	90	6	14	6	265	303	374	677	109	306	15	4	301	90	-7	+0	+7	+2	+13	1.5
2017	28	MLB MLE	Toronto Blue Jays	—	632	587	150	37	1	16	33	95	6	15	6	256	302	404	706	148	280	15	5	311	96	-3	+1	+1	+2	+14	1.5
2018	29	MLB MLE	Toronto Blue Jays	—	542	512	129	40	2	15	18	98	6	14	3	252	285	426	711	174	281	18	3	309	96	-3	+2	+1	+2	+12	1.3
2019	30	MLB MLE	San Francisco Giants	—	645	615	161	37	3	23	14	89	9	14	5	262	288	444	732	182	270	14	2	318	101	+1	+1	-3	+2	+14	1.6
2020	31	MLB MLE	Colorado Rockies	—	223	209	57	12	2	5	12	41	2	5	2	273	318	421	739	148	335	18	5	330	109	+2	+0	-1	+1	+5	0.7
2021	32	MLB MLE	New York Mets	—	347	325	77	12	2	15	11	81	10	4	3	237	283	425	708	188	261	23	3	312	97	-1	-0	-0	+1	+8	0.7
2022	33	AAA MLE	Oklahoma City Dodgers	—	176	157	39	6	3	7	12	26	3	2	1	248	314	459	773	210	244	15	7	330	109	—	—	—	—	—	—
2023	34	MLB MLE	Atlanta Braves	—	206	197	45	10	0	9	6	50	0	4	1	228	251	416	667	188	255	24	3	288	81	-5	+0	+2	-2	+4	0.0
2024	35	MLB MLE	Los Angeles Angels	—	314	284	66	17	1	8	16	69	10	12	3	232	297	384	681	151	271	22	5	300	89	-4	+1	-0	+1	+7	0.5
2025	36	MLB MLE	Texas Rangers	—	43	43	9	2	0	0	0	8	0	3	0	209	209	256	465	47	257	19	0	209	27	-4	+1	-1	+0	+1	-0.3
2011	22	ROK MLE	Bluefield Blue Jays	—	256	240	62	12	2	5	6	51	3	8	4	258	285	388	673	129	305	20	2	288	81	—	—	—	—	—	—
2011	22	ROK RAW	Bluefield Blue Jays	—	256	236	82	17	3	7	10	36	3	8	4	347	382	534	915	186	383	14	4	391	81	—	—	—	—	—	—
2012	23	A MLE	3 teams	—	620	575	157	26	6	6	29	112	6	59	11	273	315	370	685	97	325	18	5	295	86	—	—	—	—	—	—
2012	23	A RAW	3 teams	—	620	561	184	29	6	7	43	83	6	59	11	328	382	439	820	111	370	13	7	362	86	—	—	—	—	—	—
2013	24	AA MLE	4 teams	—	722	680	182	39	7	12	29	127	8	27	15	268	305	399	704	131	313	18	4	305	92	—	—	—	—	—	—
2013	24	AA RAW	4 teams	—	722	673	191	45	6	12	36	108	8	27	15	284	328	422	750	138	323	15	5	331	92	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	556	530	158	44	3	11	16	89	5	28	8	298	325	455	780	157	338	16	3	336	113	—	—	—	—	—	—
2014	25	AAA RAW	2 teams	—	556	521	162	48	3	12	25	76	5	28	8	311	348	484	832	173	342	14	4	364	113	—	—	—	—	—	—
2015	26	MLB MLE	Toronto Blue Jays	—	628	587	162	31	2	12	27	85	5	25	4	276	313	397	710	121	303	14	4	313	98	-1	+3	+11	+2	+14	2.9
2015	26	MLB RAW	Toronto Blue Jays	—	628	586	163	31	2	12	28	85	5	25	4	278	317	399	716	121	306	14	4	315	98	-1	+3	+11	+2	+14	2.9
2016	27	MLB MLE	Toronto Blue Jays	—	584	548	145	35	2	7	24	90	6	14	6	265	303	374	677	109	304	15	4	301	90	-7	+0	+7	+2	+13	1.5
2016	27	MLB RAW	Toronto Blue Jays	—	584	548	146	35	2	7	24	90	6	14	6	266	304	376	680	109	306	15	4	302	90	-7	+0	+7	+2	+13	1.5
2017	28	MLB MLE	Toronto Blue Jays	—	632	587	150	37	1	16	33	95	6	15	6	256	302	404	706	148	280	15	5	311	96	-3	+1	+1	+2	+14	1.5
2017	28	MLB RAW	Toronto Blue Jays	—	632	587	150	37	1	16	33	95	6	15	6	256	302	404	706	148	280	15	5	311	96	-3	+1	+1	+2	+14	1.5
2018	29	MLB MLE	Toronto Blue Jays	—	542	512	129	40	2	15	18	98	6	14	3	252	285	426	711	174	281	18	3	309	96	-3	+2	+1	+2	+12	1.3
2018	29	MLB RAW	Toronto Blue Jays	—	542	512	129	40	2	15	18	98	6	14	3	252	285	426	711	174	281	18	3	310	96	-3	+2	+1	+2	+12	1.3
2019	30	MLB MLE	San Francisco Giants	—	645	615	161	37	3	23	14	89	9	14	5	262	288	444	732	182	271	14	2	318	101	+1	+1	-3	+2	+14	1.6
2019	30	MLB RAW	San Francisco Giants	—	645	611	158	37	3	21	18	89	9	14	5	259	290	432	722	173	270	14	3	315	101	+1	+1	-3	+2	+14	1.6
2020	31	MLB MLE	Colorado Rockies	—	223	209	57	12	2	5	12	41	2	5	2	273	318	421	739	148	319	18	5	330	109	+2	+0	-1	+1	+5	0.7
2020	31	MLB RAW	Colorado Rockies	—	223	208	60	12	3	6	13	41	2	5	2	288	336	462	798	173	335	18	6	352	109	+2	+0	-1	+1	+5	0.7
2021	32	MLB MLE	New York Mets	—	347	325	77	12	2	15	11	81	10	4	3	237	283	425	708	188	270	23	3	312	97	-1	-0	-0	+1	+8	0.7
2021	32	MLB RAW	New York Mets	—	347	325	75	11	2	15	11	81	10	4	3	231	277	415	693	185	261	23	3	306	97	-1	-0	-0	+1	+8	0.7
2022	33	AAA MLE	Oklahoma City Dodgers	—	176	157	39	6	3	7	12	26	3	2	1	248	314	459	773	210	250	15	7	330	109	—	—	—	—	—	—
2022	33	AAA RAW	Oklahoma City Dodgers	—	176	149	47	7	3	10	20	22	3	2	1	315	407	604	1.011	289	306	12	11	427	109	—	—	—	—	—	—
2023	34	MLB MLE	Atlanta Braves	—	206	197	45	10	0	9	6	50	0	4	1	228	251	416	667	188	255	24	3	288	81	-5	+0	+2	-2	+4	0.0
2023	34	MLB RAW	Atlanta Braves	—	206	197	45	10	0	9	6	50	0	4	1	228	251	416	667	188	255	24	3	288	81	-5	+0	+2	-2	+4	0.0
2024	35	MLB MLE	Los Angeles Angels	—	314	284	66	17	1	8	16	69	10	12	3	232	297	384	681	151	276	22	5	300	89	-4	+1	-0	+1	+7	0.5
2024	35	MLB RAW	Los Angeles Angels	—	314	284	65	16	1	8	16	69	10	12	3	229	294	377	670	148	271	22	5	298	89	-4	+1	-0	+1	+7	0.5
2025	36	MLB MLE	Texas Rangers	—	43	43	9	2	0	0	0	8	0	3	0	209	209	256	465	47	257	19	0	209	27	-4	+1	-1	+0	+1	-0.3
2025	36	MLB RAW	Texas Rangers	—	43	43	9	2	0	0	0	8	0	3	0	209	209	256	465	47	257	19	0	207	27	-4	+1	-1	+0	+1	-0.3
2011	22	ROK MLE	Bluefield Blue Jays	—	256	245	62	12	2	5	6	51	3	8	4	253	285	380	665	127	295	20	2	288	81	—	—	—	—	—	—
2012	23	A MLE	3 teams	—	620	580	157	26	6	6	29	112	6	59	11	271	315	367	682	97	317	18	5	295	86	—	—	—	—	—	—
2013	24	AA MLE	4 teams	—	722	679	182	39	7	12	29	127	8	27	15	268	305	399	705	131	310	18	4	305	92	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	556	530	158	44	3	11	16	89	5	28	8	298	325	455	780	157	335	16	3	336	113	—	—	—	—	—	—
2015	26	MLB MLE	Toronto Blue Jays	—	628	591	162	31	2	12	27	85	5	25	4	274	313	394	708	120	306	14	4	313	98	—	—	—	—	—	—
2016	27	MLB MLE	Toronto Blue Jays	—	584	549	145	35	2	7	24	90	6	14	6	264	303	373	676	109	306	15	4	301	90	—	—	—	—	—	—
2017	28	MLB MLE	Toronto Blue Jays	—	632	588	150	37	1	16	33	95	6	15	6	255	302	403	705	148	280	15	5	311	96	—	—	—	—	—	—
2018	29	MLB MLE	Toronto Blue Jays	—	542	513	129	40	2	15	18	98	6	14	3	251	285	425	710	173	281	18	3	309	96	—	—	—	—	—	—
2019	30	MLB MLE	San Francisco Giants	—	645	617	161	37	3	23	14	89	9	14	5	261	288	442	731	182	270	14	2	318	101	—	—	—	—	—	—
2020	31	MLB MLE	Colorado Rockies	—	223	207	57	12	2	5	12	41	2	5	2	275	318	425	744	150	335	18	5	330	109	—	—	—	—	—	—
2021	32	MLB MLE	New York Mets	—	347	323	77	12	2	15	11	81	10	4	3	238	283	427	710	189	261	23	3	312	97	—	—	—	—	—	—
2022	33	AAA MLE	Oklahoma City Dodgers	—	176	159	39	6	3	7	12	26	3	2	1	245	314	453	767	208	244	15	7	330	109	—	—	—	—	—	—
2023	34	MLB MLE	Atlanta Braves	—	206	198	45	10	0	9	6	50	0	4	1	227	251	414	665	187	255	24	3	288	81	—	—	—	—	—	—
2024	35	MLB MLE	Los Angeles Angels	—	314	285	66	17	1	8	16	69	10	12	3	232	297	382	679	151	271	22	5	300	89	—	—	—	—	—	—
2025	36	MLB MLE	Texas Rangers	—	43	43	9	2	0	0	0	8	0	3	0	209	209	256	465	47	257	19	0	209	27	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	35	MLB MLE	Los Angeles Angels	—	314	285	66	17	1	8	16	69	10	12	3	232	297	382	679	151	271	22	5	300	89	—	—	—	—	—	—
2025	36	MLB MLE	Texas Rangers	—	43	43	9	2	0	0	0	8	0	3	0	209	209	256	465	47	257	19	0	209	27	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	38	MLB MLE	TEX	100%	144	133	31	6	1	4	7	32	3	4	1	234	287	374	660	140	278	22	5	294	85	-3	+0	-0	+1	+3	0.0
▸ 2027 — real world (MLB)
2027	38	MLB CTX	TEX	100%	89	82	19	4	0	2	5	20	2	3	1	235	288	379	667	144	278	22	6	296	85	-2	+0	-0	+0	+2	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	39	MLB MLE	TEX	100%	80	75	16	3	0	2	4	18	1	1	0	222	273	347	621	125	268	22	5	277	74	-3	+0	-9	+0	+2	-0.9
2028	39	MLB CTX	TEX	100%	80	75	16	3	0	2	4	18	1	1	0	223	274	352	626	129	267	22	5	279	74	-3	+0	-9	+0	+2	-0.9
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4476	4194	1068	247	16	116	179	781	58	112	36	255	295	404	699	149	286	17	4	307	95	-31	+8	+7	-1	+97	8.2
/ 162G	—	A+C		—	650	609	155	36	2	17	26	113	8	16	5	255	294	404	698	149	285	17	4	307	95	-4	+1	+1	-0	+14	1.2
Career	—	MLE		—	6663	6246	1634	367	36	155	262	1149	82	238	73	262	300	406	706	145	296	17	4	308	95	-32	+8	+7	-1	+99	8.2
/ 162G	—	MLE		—	650	609	160	36	4	15	26	112	8	23	7	263	302	409	711	146	298	17	4	308	95	-5	+1	+1	-0	+14	1.2

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.

2022 AAAOklahoma City Dodgers · 176 PAwOBA .426 → .330 (−95)K% 12.5% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.009	×1.200	—	—	14.87%
BB% (unintentional) /PA	11.36%	÷1.073	×0.690	—	×0.942	6.89%
HBP% /PA	1.70%	—	×0.940	—	×0.942	1.51%
Singles /BIP	21.26%	÷1.027	×0.930	×0.957	×0.942	17.36%
Doubles /BIP	5.51%	÷0.958	×0.830	×0.957	×0.942	4.31%
Triples /BIP	2.36%	÷0.955	×0.970	×0.957	×0.942	2.16%
Home runs /BIP	7.87%	÷0.997	×0.700	—	×0.942	5.21%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 105, 2B 92, 3B 91, K 102, BB 115 — 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 ×0.957.

Result: wOBA .426 → .330; ISO .289 → .220; BABIP .306 → .244. 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).

2014 AAABuffalo Bisons · 434 PAwOBA .370 → .344 (−26)K% 11.1% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.06%	÷0.942	×1.200	—	—	14.09%
BB% (unintentional) /PA	4.15%	÷1.041	×0.690	—	×1.033	2.84%
HBP% /PA	0.92%	—	×0.940	—	×1.033	0.89%
Singles /BIP	22.13%	÷0.968	×0.930	×1.028	×1.033	22.57%
Doubles /BIP	10.92%	÷0.985	×0.830	×1.028	×1.033	9.77%
Triples /BIP	0.84%	÷1.150	×0.970	×1.028	×1.033	0.75%
Home runs /BIP	2.80%	÷1.006	×0.840	—	×1.033	2.42%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 97, 3B 130, K 88, BB 108 — 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 ×1.028.

Result: wOBA .370 → .344; ISO .185 → .163; BABIP .345 → .335. 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 AANew Hampshire Fisher Cats · 327 PAwOBA .348 → .310 (−38)K% 9.5% → 11.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.48%	÷0.969	×1.220	—	—	11.94%
BB% (unintentional) /PA	5.81%	÷1.007	×0.700	—	×1.012	4.09%
HBP% /PA	1.22%	—	×0.850	—	×1.012	1.05%
Singles /BIP	24.91%	÷0.986	×0.970	×0.987	×1.012	24.47%
Doubles /BIP	7.33%	÷1.042	×0.860	×0.987	×1.012	6.04%
Triples /BIP	0.73%	÷1.068	×0.950	×0.987	×1.012	0.65%
Home runs /BIP	1.83%	÷0.975	×0.780	—	×1.012	1.48%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 97, 2B 108, 3B 114, K 94, BB 101 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .348 → .310; ISO .128 → .105; BABIP .336 → .316. 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 AAABuffalo Bisons · 218 PAwOBA .355 → .321 (−34)K% 17.9% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.89%	÷0.987	×1.200	—	—	21.75%
BB% (unintentional) /PA	5.50%	÷1.015	×0.690	—	×1.048	3.92%
HBP% /PA	0.92%	—	×0.940	—	×1.048	0.90%
Singles /BIP	20.37%	÷0.976	×0.930	×0.993	×1.048	20.20%
Doubles /BIP	11.73%	÷1.094	×0.830	×0.993	×1.048	9.26%
Triples /BIP	2.47%	÷0.900	×0.970	×0.993	×1.048	2.77%
Home runs /BIP	2.47%	÷0.853	×0.840	—	×1.048	2.55%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 95, 2B 119, 3B 80, K 97, BB 103 — 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 ×0.993.

Result: wOBA .355 → .321; ISO .194 → .179; BABIP .350 → .327. 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 ALansing Lugnuts · 375 PAwOBA .366 → .296 (−69)K% 14.1% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.13%	÷0.946	×1.360	—	—	20.33%
BB% (unintentional) /PA	9.07%	÷1.057	×0.690	—	×0.990	5.86%
HBP% /PA	0.80%	—	×0.780	—	×0.990	0.62%
Singles /BIP	28.01%	÷1.039	×0.920	×1.018	×0.990	24.98%
Doubles /BIP	7.09%	÷1.028	×0.830	×1.018	×0.990	5.77%
Triples /BIP	1.42%	÷1.051	×0.910	×1.018	×0.990	1.24%
Home runs /BIP	1.77%	÷0.936	×0.800	—	×0.990	1.50%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 108, 2B 106, 3B 110, K 89, BB 111 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .366 → .296; ISO .128 → .104; BABIP .371 → .324. 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 A+Dunedin Blue Jays · 178 PAwOBA .331 → .292 (−39)K% 9.6% → 13.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.55%	÷1.001	×1.420	—	—	13.54%
BB% (unintentional) /PA	2.81%	÷1.020	×0.750	—	×0.998	2.06%
HBP% /PA	1.12%	—	×0.930	—	×0.998	1.04%
Singles /BIP	28.57%	÷1.034	×0.920	×1.005	×0.998	25.50%
Doubles /BIP	5.44%	÷1.111	×0.960	×1.005	×0.998	4.72%
Triples /BIP	1.36%	÷1.014	×0.810	×1.005	×0.998	1.09%
Home runs /BIP	0.68%	÷0.944	×0.880	—	×0.998	0.63%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 107, 2B 122, 3B 103, K 100, BB 104 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .331 → .292; ISO .091 → .080; BABIP .342 → .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).

2011 ROKBluefield Blue Jays · 256 PAwOBA .385 → .288 (−97)K% 14.1% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.06%	÷1.000	×1.420	—	—	19.97%
BB% (unintentional) /PA	3.91%	÷1.000	×0.640	—	×0.975	2.44%
HBP% /PA	1.17%	—	×0.740	—	×0.975	0.85%
Singles /BIP	27.50%	÷1.000	×0.840	×0.982	×0.975	22.11%
Doubles /BIP	8.50%	÷1.000	×0.740	×0.982	×0.975	6.02%
Triples /BIP	1.50%	÷1.000	×0.740	×0.982	×0.975	1.06%
Home runs /BIP	3.50%	÷1.000	×0.800	—	×0.975	2.73%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .385 → .288; ISO .186 → .136; BABIP .383 → .295. 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
#1Mickey Stanley'64-'78 * career totals — 14 seasons, 5,477 PA	8.2	5,477	117	44	254*	303*	420*	+7	+25	13.8	13.6
/162	664	14	5	+0.9	+3.0	1.7	pk7: 13
#2Cameron Maybinlast yr '20 ASSS career totals — 13 seasons, 4,182 PA	6.3	4,182	72	182	254	322	375	+9	+6	13.1	12.8
/162	664	11	29	+1.4	+1.0	2.1	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	6.8	4,522	118	112	255	292	406	+14	+16	11.3	11.0
/162	664	17	16	+2.0	+2.4	1.7	pk7: 11
#3Mike Devereaux'87-'98 * career totals — 10 seasons, 4,102 PA	6.2	4,102	105	85	248*	302*	416*	-3	+0	8.3	10.2
/162	664	17	14	-0.6	+0.0	1.3	pk7: 12
#4Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#5Darrin Jackson'85-'99 * career totals — 10 seasons, 2,816 PA	4.2	2,816	80	43	252*	290*	420*	-7	+21	6.2	7.4
/162	664	19	10	-1.7	+5.0	1.5	pk7: 9
#6Danny Santanalast yr '21 career totals — 7 seasons, 1,834 PA	2.8	1,834	47	74	256	296	415	-6	-6	3.6	3.6
/162	664	17	27	-2.3	-2.2	1.3	pk7: 4

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
Kevin Pillar (OGILVIE)	38	—	—	—	—	232/285/370	139	278	2	3	22%	5%	85	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jolbert Cabrera 2011 · MLB	38	53→48	44→45	52→50	43	256/299/379	123	305	11	13	20%	5%	91	+0.7	239/278/368	129	281	13	8	20%	4%	81	-0.1	238/266/375	137	274	14	2	19%	2%	78	-0.2
✕Robert Perez 2007 · AAA	38	49→52	46→50	43→50	43	245/278/369	125	269	15	7	16%	4%	80	-0.1	249/285/383	134	267	16	10	14%	4%	87	+0.4	252/286/379	128	269	16	11	13%	4%	84	+0.1
✕Ray Martinez 2007 · AAA	38	49→52	47→45	51→45	52	243/319/377	134	280	15	11	19%	9%	99	+1.2	244/298/358	114	286	12	8	19%	6%	86	+0.3	259/303/361	102	303	11	5	18%	5%	86	+0.2
✕Lew Ford 2015 · MLB	38	45→55	51→50	50	46	232/281/399	167	254	19	10	18%	6%	90	+0.6	254/312/374	120	290	12	8	16%	7%	95	+0.9	313/367/396	83	346	8	0	11%	8%	118	+0.6
✕Trenidad Hubbard 2002 · MLB	38	45→52	45→40	51→55	52	222/296/345	123	261	12	14	20%	9%	82	+0.0	229/309/340	111	276	10	21	20%	10%	86	+0.3	234/299/304	70	266	4	30	13%	8%	71	-0.4
✕Abel Martinez 2015 · AAA	38	53→62	40→45	46→50	48	251/298/345	94	275	8	15	12%	5%	82	+0.0	247/295/340	93	278	8	9	14%	5%	80	-0.1	255/299/330	75	287	7	4	13%	4%	77	-0.1
✕Manny Rodriguez 2019 · AAA	37	48→58	45→50	52→50	46	239/284/363	124	264	13	18	16%	5%	82	-0.0	210/257/302	92	247	9	6	18%	6%	57	-1.8	193/238/264	70	226	7	0	18%	5%	39	-2.7
✕Curtis Pride 2007 · MLB	38	50	45	53→55	50	240/315/367	128	321	12	22	28%	10%	95	+0.9	220/290/332	112	313	10	18	30%	8%	77	-0.3	182/252/268	86	271	5	17	32%	7%	47	-1.0
✕So Taguchi 2006 · MLB	37	55→58	45	52→50	46	271/310/401	130	299	12	15	14%	5%	100	+1.3	264/321/363	99	296	7	15	13%	7%	95	+1.0	263/327/342	79	296	4	16	12%	8%	93	+0.4
✕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
✕Rafael Castaneda 2006 · AAA	38	50→60	44→45	49→40	50	246/302/359	113	271	12	7	14%	7%	87	+0.4	253/302/357	104	272	9	5	10%	6%	86	+0.3	256/306/353	97	273	8	3	9%	6%	86	+0.1
✕Olmo Rosario 2019 · AAA	38	53→60	41→45	43→50	49	256/301/354	98	277	8	13	12%	6%	85	+0.2	252/301/356	104	273	10	9	11%	6%	86	+0.3	264/311/355	90	282	8	6	9%	5%	88	+0.4
✕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
✕Iker Franco 2019 · AAA	38	47	44→50	47→40	45	231/286/340	109	288	12	8	24%	7%	77	-0.3	210/260/333	123	270	14	9	27%	6%	66	-1.1	156/195/247	91	190	13	0	26%	5%	19	-0.9
✕Raul Sanchez 2009 · AAA	36	53→52	40→45	48→50	45	253/298/344	91	289	8	14	16%	5%	82	+0.0	240/294/323	83	287	6	9	18%	6%	76	-0.4	254/301/341	88	302	6	4	17%	5%	81	-0.0
✕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
✕Jason Wood 2008 · MLB	38	46	45	45→40	43	231/281/351	120	287	13	4	24%	6%	78	-0.3	222/272/311	89	276	8	7	22%	6%	65	-1.2	212/259/266	54	261	5	4	20%	5%	47	-1.6
✕Hernando Arredondo 2015 · AAA	38	46→53	45→50	40→50	42	229/265/351	122	258	13	4	18%	4%	72	-0.7	229/269/335	106	285	11	7	23%	5%	70	-0.9	233/262/315	82	302	10	4	26%	3%	59	-0.3
✕Manny Martinez 2008 · AAA	37	51→56	44→45	51→55	51	251/312/370	119	280	12	23	15%	7%	94	+0.9	236/296/335	99	283	8	18	18%	7%	80	-0.2	234/295/315	80	284	5	17	18%	6%	73	-0.4
✕Erik Kratz 2018 · MLB	38	39→44	45→60	49→45	42	199/255/318	120	246	13	7	25%	6%	61	-1.5	222/276/356	134	256	16	6	20%	5%	78	-0.3	217/270/350	134	238	18	2	18%	4%	73	-0.3

Kevin Pillar

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps