Michael A. Taylor

CF Chicago White Sox

Age 36 R/R 6'4" / 215 lbs MLB HR +4% Svc 13.000 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	32	MLBMIN	388	.220/.279/.442	21	13	98	1.7
2024	33	MLBPIT	300	.193/.257/.290	5	12	52	0.1
2025	34	MLBCWS	325	.200/.260/.366	9	8	69	-0.3
2026	35	No MLB games played
2027PROJ	36	MLBCWS	161	.222/.284/.395	6	4	88	0.4
2028PROJ	37	MLBCWS	112	.209/.270/.366	4	1	76	-0.6

Last 3 seasons WAR 1.5 · Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service13.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

Barrel%75

Bat Spd60

Speed58

Avg EV53

xwOBA30

CompsCody Ransom (age 36) · Mark Little (age 34) · Mike Coolbaugh (age 34)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9188vR 77

AVG/OBP/SLG.222 / .284 / .395

PA161

HR6

K%30

BB%7

BABIP290

ISO184

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2023-2025

CONTACT

xAVG

100.203

POWER

Barrel%

7512.0

Avg EV

5389.3

Bat Spd

6072.4

SPEED

Sprint

5827.8

Platoon Splits2024-2025 · 625 PA

vs LHP

vs RHP

Edge

244

381

—

wRC+

◀◀L

wOBA

282

246

◀L

ISO

196

091

◀◀L

BABIP

297

276

◀L

36.1%

33.3%

▶R

BB%

4.9%

8.7%

▶▶R

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

Status FA

MLB Debut 2014

Service 13.000 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)
2010	19	A	Hagerstown Suns	—	15	13	3	1	0	0	1	2	1	0	0	231	333	308	641	77	273	13	7	302	61	—	—	—	—	—	—
2010	19	ROK	GCL Nationals	—	149	128	25	4	3	1	14	31	1	1	2	195	280	297	577	102	238	21	9	255	13	—	—	—	—	—	—
2011	20	A	Hagerstown Suns	—	488	442	112	26	7	13	32	120	6	23	12	253	312	432	745	179	316	25	7	324	56	—	—	—	—	—	—
2012	21	A+	Potomac Nationals	—	431	384	93	33	2	3	40	113	3	19	9	242	319	362	680	120	335	26	9	306	40	—	—	—	—	—	—
2013	22	A+	Potomac Nationals	—	581	509	134	41	6	10	55	131	8	51	7	263	344	426	771	163	331	23	9	339	59	—	—	—	—	—	—
2013	22	INTL	Indios de Mayaguez	—	154	137	50	7	2	3	13	38	2	3	4	365	428	511	939	146	490	25	8	412	165	—	—	—	—	—	—
2014	23	MLB	Washington Nationals	—	43	39	8	3	0	1	3	17	1	0	2	205	279	359	638	154	333	40	7	288	80	-1	-1	-0	+2	+1	0.1
2014	23	AAA	Syracuse Chiefs	—	52	44	10	3	1	1	7	14	0	3	1	227	333	409	742	182	310	27	13	326	70	—	—	—	—	—	—
2014	23	AA	Harrisburg Senators	—	441	384	120	17	2	22	50	130	4	34	8	312	397	539	936	227	421	29	11	409	107	—	—	—	—	—	—
2015	24	MLB	Washington Nationals	—	511	472	108	15	2	14	35	158	1	16	3	229	283	358	642	129	311	31	7	287	72	-17	+2	+2	+2	+11	0.0
2015	24	AAA	Syracuse Chiefs	—	32	26	10	1	0	1	4	10	0	2	1	385	467	538	1.005	154	562	31	12	419	153	—	—	—	—	—	—
2016	25	MLB	Washington Nationals	—	237	221	51	11	0	7	14	77	1	14	3	231	280	376	655	145	319	32	6	291	83	-5	+2	+2	+1	+5	0.5
2016	25	AAA	Syracuse Chiefs	—	130	117	24	5	1	1	12	33	1	7	1	205	285	291	575	85	277	25	9	266	25	—	—	—	—	—	—
2017	26	MLB	Washington Nationals	—	432	399	108	23	3	19	29	137	1	17	7	271	322	486	808	216	363	32	7	352	122	+11	+1	+8	+2	+9	3.2
2017	26	AA	Harrisburg Senators	—	28	26	4	2	0	1	2	8	0	3	0	154	214	346	560	192	176	29	7	248	13	—	—	—	—	—	—
2017	26	A+	Potomac Nationals	—	21	19	3	0	0	0	2	7	0	1	0	158	238	158	396		250	33	10	196	-41	—	—	—	—	—	—
2018	27	MLB	Washington Nationals	—	385	353	80	22	3	6	29	116	1	24	6	227	287	357	644	130	320	30	8	288	80	-9	+2	+7	+1	+8	1.0
2018	27	INTL	Gigantes del Cibao	—	29	28	4	1	0	0	1	9	0	0	0	143	172	179	351	36	211	31	3	162	-4	—	—	—	—	—	—
2019	28	MLB	Washington Nationals	—	97	88	22	7	0	1	7	34	0	6	0	250	305	364	669	114	396	35	7	295	85	-2	+1	+1	+1	+2	0.4
2019	28	AA	Harrisburg Senators	—	247	218	54	16	2	9	25	69	1	10	6	248	328	463	791	216	315	28	10	345	59	—	—	—	—	—	—
2020	29	MLB	Washington Nationals	—	99	92	18	6	0	5	6	27	1	0	0	196	253	424	676	228	217	27	6	297	86	-2	+0	+0	-1	+2	-0.0
2021	30	MLB	Kansas City Royals	—	528	483	118	16	1	12	33	144	5	14	7	244	299	356	656	112	319	27	6	292	87	-8	+0	+15	+2	+11	2.1
2022	31	MLB	Kansas City Royals	—	456	414	105	10	3	9	35	109	2	4	2	254	315	357	672	104	321	24	8	301	93	-4	+0	+7	+2	+10	1.4
2023	32	MLB	Minnesota Twins	—	388	355	78	14	1	21	26	130	3	13	1	220	279	442	721	223	278	34	7	314	98	-1	+2	+6	+1	+8	1.7
2024	33	MLB	Pittsburgh Pirates	—	300	269	52	9	1	5	23	105	0	12	1	193	257	290	547	97	288	35	8	244	52	-17	+2	+9	+1	+6	0.1
2025	34	MLB	Chicago White Sox	—	325	295	59	20	1	9	23	110	1	8	3	200	260	366	626	166	281	34	7	274	69	-12	+0	+1	+1	+7	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3801	3480	807	156	15	109	263	1164	17	128	35	232	289	379	668	147	313	31	7	296	86	-62	+12	+57	+16	+82	10.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	19	A MLE	Hagerstown Suns	—	15	13	3	1	0	0	1	3	1	0	0	231	333	308	641	77	257	20	7	258	61	—	—	—	—	—	—
2010	19	ROK MLE	GCL Nationals	—	149	133	20	3	2	1	9	45	1	1	2	150	210	226	435	75	187	30	6	187	13	—	—	—	—	—	—
2011	20	A MLE	Hagerstown Suns	—	488	454	93	18	6	11	20	161	6	23	12	205	248	344	592	139	278	33	4	251	56	—	—	—	—	—	—
2012	21	A+ MLE	Potomac Nationals	—	431	399	75	26	1	2	25	162	3	19	9	188	241	273	514	85	302	38	6	227	40	—	—	—	—	—	—
2013	22	A+ MLE	Potomac Nationals	—	581	529	107	31	4	9	35	200	8	51	7	202	262	327	589	125	290	34	6	256	59	—	—	—	—	—	—
2014	23	MLB MLE	Washington Nationals	—	43	39	8	3	0	1	3	17	1	0	2	205	279	359	638	154	333	40	7	286	80	-1	-1	-0	+2	+1	0.1
2014	23	AAA MLE	Syracuse Chiefs	—	52	46	9	2	1	1	5	17	0	3	1	196	275	348	622	152	288	33	10	272	70	—	—	—	—	—	—
2014	23	AA MLE	Harrisburg Senators	—	441	400	107	13	2	17	34	166	4	34	8	268	331	438	769	170	401	38	8	327	107	—	—	—	—	—	—
2015	24	MLB MLE	Washington Nationals	—	511	481	108	15	2	14	26	158	1	16	3	225	266	351	617	127	311	31	5	275	72	-17	+2	+2	+2	+11	0.0
2015	24	AAA MLE	Syracuse Chiefs	—	32	27	10	1	0	1	3	12	0	2	1	370	433	519	952	148	527	38	9	394	153	—	—	—	—	—	—
2016	25	MLB MLE	Washington Nationals	—	237	221	51	11	0	7	14	77	1	14	3	231	280	376	655	145	319	32	6	290	83	-5	+2	+2	+1	+5	0.5
2016	25	AAA MLE	Syracuse Chiefs	—	130	121	20	4	1	1	8	42	1	7	1	165	223	240	463	74	242	32	6	205	25	—	—	—	—	—	—
2017	26	MLB MLE	Washington Nationals	—	432	402	109	23	4	19	26	137	1	17	7	271	317	490	807	219	363	32	6	348	122	+11	+1	+8	+2	+9	3.2
2017	26	AA MLE	Harrisburg Senators	—	28	27	4	2	0	1	1	10	0	3	0	148	179	333	512	185	154	36	4	188	13	—	—	—	—	—	—
2017	26	A+ MLE	Potomac Nationals	—	21	21	2	0	0	0	0	10	0	1	0	95	95	95	190		217	48	0	107	-41	—	—	—	—	—	—
2018	27	MLB MLE	Washington Nationals	—	385	355	81	22	4	6	27	116	1	24	6	228	285	363	648	135	320	30	7	286	80	-9	+2	+7	+1	+8	1.0
2019	28	MLB MLE	Washington Nationals	—	97	88	22	7	0	1	7	34	0	6	0	250	305	364	669	114	396	35	7	294	85	-2	+1	+1	+1	+2	0.4
2019	28	AA MLE	Harrisburg Senators	—	247	228	44	13	1	6	15	84	1	10	6	193	246	338	584	145	265	34	6	256	59	—	—	—	—	—	—
2020	29	MLB MLE	Washington Nationals	—	99	92	18	6	0	5	6	27	1	0	0	196	253	424	676	228	217	27	6	295	86	-2	+0	+0	-1	+2	-0.0
2021	30	MLB MLE	Kansas City Royals	—	528	483	120	16	1	13	33	144	5	14	7	248	303	366	670	118	319	27	6	297	87	-8	+0	+15	+2	+11	2.1
2022	31	MLB MLE	Kansas City Royals	—	456	414	107	10	3	10	35	109	2	4	2	258	319	370	689	111	321	24	8	305	93	-4	+0	+7	+2	+10	1.4
2023	32	MLB MLE	Minnesota Twins	—	388	355	78	14	1	21	26	130	3	13	1	220	279	442	721	223	278	34	7	313	98	-1	+2	+6	+1	+8	1.7
2024	33	MLB MLE	Pittsburgh Pirates	—	300	269	52	9	1	5	23	105	0	12	1	193	257	290	547	97	288	35	8	245	52	-17	+2	+9	+1	+6	0.1
2025	34	MLB MLE	Chicago White Sox	—	325	296	59	20	1	9	22	110	1	8	3	199	257	365	622	166	281	34	7	270	69	-12	+0	+1	+1	+7	-0.3
2010	19	ROK MLE	2 teams	—	164	146	23	4	2	1	10	47	2	1	2	158	222	233	454	75	214	29	6	193	17	—	—	—	—	—	—
2010	19	ROK RAW	2 teams	—	164	141	28	5	3	1	15	33	2	1	2	199	285	298	583	99	241	20	9	259	17	—	—	—	—	—	—
2011	20	A MLE	Hagerstown Suns	—	488	454	93	18	6	11	20	161	6	23	12	205	248	344	592	139	287	33	4	251	56	—	—	—	—	—	—
2011	20	A RAW	Hagerstown Suns	—	488	442	112	26	7	13	32	120	6	23	12	253	312	432	745	179	316	25	7	324	56	—	—	—	—	—	—
2012	21	A+ MLE	Potomac Nationals	—	431	399	75	26	1	2	25	162	3	19	9	188	241	273	514	85	309	38	6	227	40	—	—	—	—	—	—
2012	21	A+ RAW	Potomac Nationals	—	431	384	93	33	2	3	40	113	3	19	9	242	319	362	680	120	335	26	9	306	40	—	—	—	—	—	—
2013	22	A+ MLE	2 teams	—	735	670	135	39	5	11	44	253	10	54	11	201	261	324	585	122	300	34	6	256	59	—	—	—	—	—	—
2013	22	A+ RAW	2 teams	—	735	646	184	48	8	13	68	169	10	54	11	285	362	444	806	159	363	23	9	354	59	—	—	—	—	—	—
2014	23	AA MLE	3 teams	—	536	485	123	18	3	19	42	201	5	37	11	254	320	421	740	167	391	38	8	318	102	—	—	—	—	—	—
2014	23	AA RAW	3 teams	—	536	467	138	23	3	24	60	161	5	37	11	296	382	512	893	216	403	30	11	391	102	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	543	508	118	16	2	15	29	170	1	18	4	232	275	360	635	128	316	31	5	282	77	-15	+2	+2	+2	+12	0.3
2015	24	MLB RAW	2 teams	—	543	498	118	16	2	15	39	168	1	18	4	237	294	367	661	131	324	31	7	294	77	-15	+2	+2	+2	+12	0.3
2016	25	MLB MLE	2 teams	—	367	342	71	15	1	8	22	119	2	21	4	208	260	327	587	120	292	32	6	260	62	-16	+3	+2	+1	+8	-0.3
2016	25	MLB RAW	2 teams	—	367	338	75	16	1	8	26	110	2	21	4	222	281	346	628	124	303	30	7	282	62	-16	+3	+2	+1	+8	-0.3
2017	26	MLB MLE	3 teams	—	481	450	114	24	4	20	27	157	1	21	7	253	297	458	755	204	342	33	6	328	108	+5	+1	+8	+2	+10	2.7
2017	26	MLB RAW	3 teams	—	481	444	115	25	3	20	33	152	1	21	7	259	312	464	776	205	347	32	7	339	108	+5	+1	+8	+2	+10	2.7
2018	27	MLB MLE	2 teams	—	414	382	86	23	4	6	29	125	1	24	6	225	282	353	635	128	319	30	7	286	80	-10	+2	+7	+1	+9	1.0
2018	27	MLB RAW	2 teams	—	414	381	84	23	3	6	30	125	1	24	6	220	279	344	623	123	312	30	7	279	80	-10	+2	+7	+1	+9	1.0
2019	28	AA MLE	2 teams	—	344	316	66	20	1	7	22	118	1	16	6	209	263	345	607	136	304	34	6	267	67	—	—	—	—	—	—
2019	28	AA RAW	2 teams	—	344	306	76	23	2	10	32	103	1	16	6	248	322	435	756	186	337	30	9	331	67	—	—	—	—	—	—
2020	29	MLB MLE	Washington Nationals	—	99	92	18	6	0	5	6	27	1	0	0	196	253	424	676	228	217	27	6	295	86	-2	+0	+0	-1	+2	-0.0
2020	29	MLB RAW	Washington Nationals	—	99	92	18	6	0	5	6	27	1	0	0	196	253	424	676	228	217	27	6	297	86	-2	+0	+0	-1	+2	-0.0
2021	30	MLB MLE	Kansas City Royals	—	528	483	120	16	1	13	33	144	5	14	7	248	303	366	670	118	323	27	6	297	87	-8	+0	+15	+2	+11	2.1
2021	30	MLB RAW	Kansas City Royals	—	528	483	118	16	1	12	33	144	5	14	7	244	299	356	656	112	319	27	6	292	87	-8	+0	+15	+2	+11	2.1
2022	31	MLB MLE	Kansas City Royals	—	456	414	107	10	3	10	35	109	2	4	2	258	319	370	689	111	326	24	8	305	93	-4	+0	+7	+2	+10	1.4
2022	31	MLB RAW	Kansas City Royals	—	456	414	105	10	3	9	35	109	2	4	2	254	315	357	672	104	321	24	8	301	93	-4	+0	+7	+2	+10	1.4
2023	32	MLB MLE	Minnesota Twins	—	388	355	78	14	1	21	26	130	3	13	1	220	279	442	721	223	278	34	7	313	98	-1	+2	+6	+1	+8	1.7
2023	32	MLB RAW	Minnesota Twins	—	388	355	78	14	1	21	26	130	3	13	1	220	279	442	721	223	278	34	7	314	98	-1	+2	+6	+1	+8	1.7
2024	33	MLB MLE	Pittsburgh Pirates	—	300	269	52	9	1	5	23	105	0	12	1	193	257	290	547	97	288	35	8	245	52	-17	+2	+9	+1	+6	0.1
2024	33	MLB RAW	Pittsburgh Pirates	—	300	269	52	9	1	5	23	105	0	12	1	193	257	290	547	97	288	35	8	244	52	-17	+2	+9	+1	+6	0.1
2025	34	MLB MLE	Chicago White Sox	—	325	296	59	20	1	9	22	110	1	8	3	199	257	365	622	166	279	34	7	270	69	-12	+0	+1	+1	+7	-0.3
2025	34	MLB RAW	Chicago White Sox	—	325	295	59	20	1	9	23	110	1	8	3	200	260	366	626	166	281	34	7	274	69	-12	+0	+1	+1	+7	-0.3
2010	19	ROK MLE	2 teams	—	164	151	23	4	2	1	10	47	2	1	2	152	222	225	447	73	193	29	6	193	17	—	—	—	—	—	—
2011	20	A MLE	Hagerstown Suns	—	488	459	93	18	6	11	20	161	6	23	12	203	248	340	588	137	278	33	4	251	56	—	—	—	—	—	—
2012	21	A+ MLE	Potomac Nationals	—	431	400	75	26	1	2	25	162	3	19	9	188	241	273	514	85	302	38	6	227	40	—	—	—	—	—	—
2013	22	A+ MLE	2 teams	—	735	675	135	39	5	11	44	253	10	54	11	200	261	321	583	121	290	34	6	256	59	—	—	—	—	—	—
2014	23	AA MLE	3 teams	—	536	484	123	18	3	19	42	201	5	37	11	254	320	421	741	167	385	38	8	318	102	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	543	508	118	16	2	15	29	170	1	18	4	232	275	360	635	128	324	31	5	282	77	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	367	340	71	15	1	8	22	119	2	21	4	209	260	329	589	121	292	32	6	260	62	—	—	—	—	—	—
2017	26	MLB MLE	3 teams	—	481	450	114	24	4	20	27	157	1	21	7	253	297	458	755	204	345	33	6	328	108	—	—	—	—	—	—
2018	27	MLB MLE	2 teams	—	414	381	86	23	4	6	29	125	1	24	6	226	282	354	636	129	320	30	7	286	80	—	—	—	—	—	—
2019	28	AA MLE	2 teams	—	344	318	66	20	1	7	22	118	1	16	6	208	263	343	605	135	302	34	6	267	67	—	—	—	—	—	—
2020	29	MLB MLE	Washington Nationals	—	99	92	18	6	0	5	6	27	1	0	0	196	253	424	676	228	217	27	6	295	86	—	—	—	—	—	—
2021	30	MLB MLE	Kansas City Royals	—	528	485	120	16	1	13	33	144	5	14	7	247	303	365	668	118	319	27	6	297	87	—	—	—	—	—	—
2022	31	MLB MLE	Kansas City Royals	—	456	416	107	10	3	10	35	109	2	4	2	257	319	368	687	111	321	24	8	305	93	—	—	—	—	—	—
2023	32	MLB MLE	Minnesota Twins	—	388	356	78	14	1	21	26	130	3	13	1	219	279	441	720	222	278	34	7	313	98	—	—	—	—	—	—
2024	33	MLB MLE	Pittsburgh Pirates	—	300	274	52	9	1	5	23	105	0	12	1	190	257	285	542	95	288	35	8	245	52	—	—	—	—	—	—
2025	34	MLB MLE	Chicago White Sox	—	325	299	59	20	1	9	22	110	1	8	3	197	257	361	618	164	281	34	7	270	69	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	MLB MLE	Pittsburgh Pirates	—	300	274	52	9	1	5	23	105	0	12	1	190	257	285	542	95	288	35	8	245	52	—	—	—	—	—	—
2025	34	MLB MLE	Chicago White Sox	—	325	299	59	20	1	9	22	110	1	8	3	197	257	361	618	164	281	34	7	270	69	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	CWS	100%	259	237	53	12	1	9	19	79	1	7	2	221	283	391	674	170	289	31	7	298	88	-4	+1	+2	+1	+6	0.0
▸ 2027 — real world (MLB)
2027	36	MLB CTX	CWS	100%	161	147	33	7	1	6	12	49	1	4	1	222	284	395	678	173	290	30	7	299	88	-2	+0	+1	+1	+3	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	CWS	100%	112	103	21	5	0	3	8	35	0	1	0	208	269	363	631	155	276	31	7	280	76	-3	+0	-6	+0	+2	-0.6
2028	37	MLB CTX	CWS	100%	112	103	22	5	0	4	8	35	0	1	0	209	270	366	636	157	277	31	7	282	76	-3	+0	-6	+0	+2	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3913	3583	829	161	15	113	271	1199	17	129	35	231	289	379	668	148	312	31	7	295	75	-65	+12	+51	+16	+85	10.0
/ 162G	—	A+C		—	650	595	138	27	2	19	45	199	3	21	6	232	289	380	669	148	313	31	7	295	75	-11	+2	+8	+3	+14	1.7
Career	—	MLE		—	6872	6311	1391	290	37	171	435	2222	45	290	87	220	276	359	635	139	308	32	6	279	75	-67	+12	+52	+17	+88	10.4
/ 162G	—	MLE		—	650	597	130	27	3	16	41	210	4	27	8	218	272	353	626	136	304	32	6	279	75	-11	+2	+8	+3	+14	1.7

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.

2019 AAHarrisburg Senators · 247 PAwOBA .337 → .256 (−80)K% 27.9% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.94%	÷0.996	×1.220	—	—	34.22%
BB% (unintentional) /PA	9.31%	÷1.054	×0.700	—	×0.968	5.99%
HBP% /PA	0.40%	—	×0.850	—	×0.968	0.33%
Singles /BIP	18.12%	÷0.991	×0.970	×0.950	×0.968	16.31%
Doubles /BIP	10.74%	÷0.985	×0.860	×0.950	×0.968	8.62%
Triples /BIP	1.34%	÷1.150	×0.950	×0.950	×0.968	1.02%
Home runs /BIP	6.04%	÷1.111	×0.780	—	×0.968	4.10%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 98, 2B 97, 3B 130, K 99, BB 111 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .337 → .256; ISO .216 → .155; BABIP .315 → .265. 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 AAHarrisburg Senators · 28 PAwOBA .241 → .188 (−53)K% 28.6% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.022	×1.220	—	—	34.10%
BB% (unintentional) /PA	7.14%	÷0.974	×0.700	—	×0.988	5.07%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	5.56%	÷1.016	×0.970	—	×0.988	5.24%
Doubles /BIP	11.11%	÷0.998	×0.860	—	×0.988	9.46%
Triples /BIP	0.00%	÷0.906	×0.950	—	×0.988	0.00%
Home runs /BIP	5.56%	÷0.970	×0.780	—	×0.988	4.41%

Factors used: league row EL. Park (home-season share, regressed): HR 94, 1B 103, 2B 100, 3B 81, K 104, BB 95 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .241 → .188; ISO .192 → .149; BABIP .176 → .154. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 A+Potomac Nationals · 21 PAwOBA .139 → .107 (−32)K% 33.3% → 49.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.963	×1.420	—	—	49.14%
BB% (unintentional) /PA	0.00%	÷0.982	×0.630	—	×0.968	0.00%
HBP% /PA	0.00%	—	×0.860	—	×0.968	0.00%
Singles /BIP	25.00%	÷1.050	×0.940	—	×0.968	21.67%
Doubles /BIP	0.00%	÷1.012	×0.830	—	×0.968	0.00%
Triples /BIP	0.00%	÷1.150	×0.800	—	×0.968	0.00%
Home runs /BIP	0.00%	÷1.368	×0.900	—	×0.968	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 174, 1B 110, 2B 102, 3B 130, K 93, BB 96 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .139 → .107; ISO .000 → .000; BABIP .250 → .217. 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 AAASyracuse Chiefs · 130 PAwOBA .260 → .205 (−55)K% 25.4% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.38%	÷0.949	×1.200	—	—	32.09%
BB% (unintentional) /PA	9.23%	÷1.110	×0.690	—	×1.033	5.92%
HBP% /PA	0.77%	—	×0.940	—	×1.033	0.75%
Singles /BIP	20.24%	÷1.048	×0.930	×0.950	×1.033	17.63%
Doubles /BIP	5.95%	÷0.959	×0.830	×0.950	×1.033	5.06%
Triples /BIP	1.19%	÷0.900	×0.970	×0.950	×1.033	1.26%
Home runs /BIP	1.19%	÷0.978	×0.840	—	×1.033	1.06%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 110, 2B 92, 3B 80, K 90, BB 122 — 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 ×0.950.

Result: wOBA .260 → .205; ISO .085 → .073; BABIP .277 → .242. 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).

2015 AAASyracuse Chiefs · 32 PAwOBA .421 → .394 (−27)K% 31.2% → 36.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷1.043	×1.200	—	—	35.97%
BB% (unintentional) /PA	12.50%	÷0.938	×0.690	—	×1.048	9.64%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	50.00%	÷1.010	×0.930	—	×1.048	48.24%
Doubles /BIP	6.25%	÷1.088	×0.830	—	×1.048	5.00%
Triples /BIP	0.00%	÷0.947	×0.970	—	×1.048	0.00%
Home runs /BIP	6.25%	÷1.183	×0.840	—	×1.048	4.65%

Factors used: league row IL. Park (home-season share, regressed): HR 137, 1B 102, 2B 118, 3B 89, K 109, BB 88 — 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 .421 → .394; ISO .154 → .127; BABIP .562 → .527. 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 AAHarrisburg Senators · 441 PAwOBA .397 → .327 (−70)K% 29.5% → 37.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.48%	÷0.955	×1.220	—	—	37.66%
BB% (unintentional) /PA	10.88%	÷1.032	×0.700	—	×1.027	7.58%
HBP% /PA	0.91%	—	×0.850	—	×1.027	0.79%
Singles /BIP	31.10%	÷0.992	×0.970	×1.003	×1.027	31.32%
Doubles /BIP	6.69%	÷1.109	×0.860	×1.003	×1.027	5.35%
Triples /BIP	0.79%	÷1.000	×0.950	×1.003	×1.027	0.77%
Home runs /BIP	8.66%	÷0.991	×0.780	—	×1.027	7.00%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 98, 2B 122, 3B 100, K 91, BB 106 — 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 ×1.003.

Result: wOBA .397 → .327; ISO .227 → .173; BABIP .421 → .401. 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 AAASyracuse Chiefs · 52 PAwOBA .318 → .272 (−46)K% 26.9% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.92%	÷0.965	×1.200	—	—	33.47%
BB% (unintentional) /PA	13.46%	÷0.972	×0.690	—	×1.050	10.03%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	16.67%	÷1.003	×0.930	—	×1.050	16.22%
Doubles /BIP	10.00%	÷1.027	×0.830	—	×1.050	8.49%
Triples /BIP	3.33%	÷1.063	×0.970	—	×1.050	3.19%
Home runs /BIP	3.33%	÷0.985	×0.840	—	×1.050	2.99%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 101, 2B 105, 3B 113, K 93, BB 94 — 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).

Result: wOBA .318 → .272; ISO .182 → .159; BABIP .310 → .288. 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 A+Potomac Nationals · 581 PAwOBA .334 → .256 (−78)K% 22.5% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.55%	÷0.932	×1.420	—	—	34.36%
BB% (unintentional) /PA	9.29%	÷0.991	×0.630	—	×1.012	5.98%
HBP% /PA	1.38%	—	×0.860	—	×1.012	1.20%
Singles /BIP	20.37%	÷1.031	×0.940	×0.993	×1.012	18.66%
Doubles /BIP	10.85%	÷0.992	×0.830	×0.993	×1.012	9.11%
Triples /BIP	1.59%	÷1.150	×0.800	×0.993	×1.012	1.11%
Home runs /BIP	2.65%	÷0.936	×0.900	—	×1.012	2.57%

Factors used: league row CAR. Park (home-season share, regressed): HR 87, 1B 106, 2B 98, 3B 130, K 86, BB 98 — 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 ×0.993.

Result: wOBA .334 → .256; ISO .163 → .127; BABIP .331 → .290. 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
#1Jake Marisnicklast yr '23 career totals — 10 seasons, 2,213 PA	3.3	2,213	63	81	227	280	381	+5	+54	8.3	8.1
/162	664	19	24	+1.4	+16.2	2.5	pk7: 8
#2Juan Lagareslast yr '22 career totals — 9 seasons, 2,508 PA	3.8	2,508	31	45	250	291	360	+8	+49	7.3	7.7
/162	664	8	12	+2.1	+13.0	1.9	pk7: 8
#3Peter Bourjoslast yr '17 career totals — 8 seasons, 2,241 PA	3.4	2,241	42	66	241	298	382	-0	+38	7.4	7.5
/162	664	12	20	-0.1	+11.3	2.2	pk7: 8
#4Darrin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	6.1	4,031	117	134	231	285	380	+11	+69	6.6	6.8
/162	664	19	22	+1.8	+11.4	1.1	pk7: 7
#5Gerald Williams'92-'05 * career totals — 10 seasons, 3,323 PA	5.0	3,323	85	106	242*	287*	395*	-18	+7	1.9	3.6
/162	664	17	21	-3.5	+1.4	0.4	pk7: 5
#6Tony Scott'73-'84 * career totals — 9 seasons, 3,047 PA	4.6	3,047	17	125	243*	294*	352*	-0	+13	1.4	2.9
/162	664	4	27	-0.0	+2.8	0.3	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
Michael A. Taylor (OGILVIE)	36	—	—	—	—	219/280/388	169	289	5	4	31%	7%	88	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cody Ransom 2012 · MLB	36	40→39	53→55	49→50	43	216/276/392	176	272	21	10	29%	7%	86	+0.3	217/295/406	189	302	23	6	34%	9%	97	+1.1	188/264/357	169	260	22	1	35%	9%	75	-0.2
✕Mark Little 2006 · MLB	34	42	51→55	52→55	40	219/289/380	161	284	19	19	30%	6%	89	+0.5	226/308/346	120	311	11	15	29%	7%	88	+0.5	221/318/307	86	323	4	13	29%	6%	80	-0.1
✕Mike Coolbaugh 2006 · AAA	34	41→39	52→55	53→50	41	218/266/379	160	262	21	10	26%	6%	79	-0.2	211/277/349	138	265	16	9	26%	7%	77	-0.3	171/258/278	106	213	13	4	26%	9%	52	-1.0
✕Pedro Swann 2007 · AAA	36	48→44	48→50	55→45	42	241/292/388	147	295	14	12	23%	5%	91	+0.6	227/273/348	121	289	12	10	25%	5%	74	-0.5	209/248/310	102	267	10	6	25%	4%	55	-1.1
✕Andy Tracy 2010 · AAA	36	41→45	53→55	48→45	48	218/287/387	169	254	22	6	24%	8%	89	+0.5	222/293/398	176	276	22	6	27%	9%	94	+0.9	216/291/396	180	268	22	4	28%	9%	91	+0.5
✕Brad Snyder 2017 · MLB	35	45→51	53→55	50	42	233/290/402	169	315	23	8	33%	7%	93	+0.8	229/288/389	160	305	19	7	30%	8%	90	+0.6	208/270/377	169	270	21	0	30%	8%	78	-0.1
✕Omar Ramirez 2007 · AAA	36	49→47	48→50	51→50	50	244/303/389	145	268	15	10	16%	7%	95	+1.0	241/300/359	118	272	12	12	16%	7%	87	+0.4	249/303/316	67	272	8	13	11%	7%	75	-0.1
✕Mike Hessman 2012 · MLB	34	37→35	54→65	47→45	42	202/270/381	179	260	22	5	32%	7%	82	-0.0	189/243/375	186	238	26	3	33%	6%	71	-0.8	185/246/365	180	222	24	3	30%	7%	68	-0.8
✕Dewayne Wise 2013 · MLB	35	47→40	49→60	59→55	40	240/278/396	156	290	17	27	24%	4%	87	+0.4	228/274/363	135	288	14	18	25%	5%	78	-0.3	188/221/274	85	256	5	9	28%	3%	36	-0.7
✕Hiram Bocachica 2011 · AAA	35	46	48→55	48→55	47	234/300/376	143	273	16	12	21%	7%	91	+0.7	215/292/369	154	259	17	18	23%	8%	87	+0.4	180/270/341	161	209	18	24	23%	9%	72	-0.4
✕Martín Maldonado 2023 · MLB	36	35→45	52→50	46→40	46	192/272/348	155	241	21	2	30%	9%	76	-0.4	189/251/337	148	252	20	3	33%	7%	65	-1.2	173/231/309	136	232	20	0	35%	6%	51	-0.9
✕Emmanuel Valdez 2015 · AAA	36	42→51	51→50	45→40	47	214/296/377	163	291	20	5	32%	9%	91	+0.6	207/282/317	110	291	12	7	31%	8%	71	-0.8	166/238/203	37	244	5	2	32%	7%	26	-0.9
✕Edgard Clemente 2012 · AAA	36	49	49→50	44→40	47	249/308/400	151	296	17	7	22%	7%	99	+1.3	238/299/389	151	308	17	12	27%	7%	94	+0.9	225/287/381	156	284	20	9	28%	6%	84	+0.0
✕Matt Carson 2015 · MLB	34	43→50	45→60	51→50	39	215/264/334	119	286	14	14	30%	5%	68	-1.0	207/268/322	115	270	12	13	27%	6%	68	-1.0	161/232/243	82	201	8	11	24%	6%	35	-1.1
✕Kevin Pillar 2024 · MLB	35	44→54	56→55	49→55	42	237/280/424	186	265	24	10	22%	5%	95	+1.0	232/286/380	148	276	16	18	22%	5%	87	+0.4	228/292/374	147	273	15	23	22%	5%	89	+0.3
✕Humberto Cota 2015 · AAA	36	41	45→50	47→30	44	210/269/324	114	261	14	5	26%	6%	68	-1.0	203/271/321	118	264	14	4	27%	8%	68	-1.0	184/259/289	106	240	13	0	28%	9%	56	-0.7
✕Curtis Pride 2006 · MLB	37	47	46→45	51→55	48	232/298/368	136	299	12	15	26%	8%	88	+0.5	227/300/344	117	318	10	20	29%	9%	84	+0.1	219/298/322	103	313	9	24	30%	10%	77	-0.2
✕Jason Wood 2006 · AAA	36	46	49→45	46→40	46	237/294/378	140	274	18	7	21%	6%	89	+0.5	228/276/336	108	284	12	4	23%	6%	72	-0.7	220/267/305	85	278	8	2	23%	5%	61	-0.9
✕Ryan LaMarre 2023 · MLB	34	48→52	45	51→60	44	231/309/356	124	315	12	21	29%	7%	91	+0.6	217/290/341	124	310	13	19	32%	7%	80	-0.2	141/221/232	91	216	10	33	38%	7%	26	-0.7
✕Juan Diaz 2008 · AAA	34	45	52→60	48→30	42	235/286/401	166	286	20	8	26%	6%	92	+0.7	232/284/373	141	290	16	8	25%	6%	84	+0.2	226/271/366	141	267	19	0	23%	5%	74	-0.1

Michael A. Taylor

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps