Michael A. Taylor

Michael A. TaylorRF Chicago White Sox

Age 35 R/R 6'4" / 215 lbs MLB BB +6%HR -6% Svc 12.000 · Ctrl thru 2026 peak 0.8 · 2026

wRC+†vL 7483vR 46

AVG/OBP/SLG.210 / .270 / .390

PA298

HR11

SB9

K%34

BB%7

xwOBA.271

Barrel%10.5%

MLB%100%

Scouting · now → future

HIT

30→30

PWR

55→55

SPD

55→55

EYE

47↗50

Barrel%

6610.5

xwOBA

180.271

Avg EV

7590.8

Whiff%

100.179

Chase%

440.330

Speed

5827.8

Bat Spd

6072.4

Contract

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

Status FA

MLB Debut 2014

Service 12.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.8	$3M	+$2M
Totals		$1M		$3M	+$2M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2010	19	ROK	2 teams	164	147	22	4	2	1	9	47	2	1	2	.150	.209	.224	.433	.075	.202	29	5	.190	4	-18	-1	+0	+1	+5	-1.4
2011	20	A	Hagerstown Suns	488	456	88	17	5	11	18	158	6	23	12	.193	.233	.325	.558	.132	.265	32	4	.239	41	-32	-0	+0	+2	+14	-1.7
2012	21	A+	Potomac Nationals	431	399	72	25	1	2	25	162	3	19	9	.180	.234	.263	.497	.083	.297	38	6	.218	25	-37	+0	+0	+2	+12	-2.3
2013	22	A+	2 teams	735	671	134	39	5	11	43	253	10	54	11	.200	.258	.322	.580	.122	.297	34	6	.253	52	-40	+6	+0	+3	+21	-1.0
2014	23	AA	3 teams	536	486	119	17	3	20	41	209	5	37	11	.245	.310	.416	.726	.171	.384	39	8	.311	96	-2	+3	-0	+2	+15	1.8
2015	24	MLB	2 teams	543	499	114	15	2	13	38	170	1	18	4	.228	.284	.345	.629	.116	.317	31	7	.267	63	-23	+2	+2	+2	+15	-0.1
2016	25	MLB	2 teams	367	343	71	15	1	8	21	119	2	21	4	.207	.257	.327	.583	.120	.290	32	6	.256	54	-19	+3	+2	+1	+10	-0.3
2017	26	MLB	3 teams	481	447	113	25	3	20	30	157	1	21	7	.253	.301	.456	.758	.204	.342	33	6	.325	107	+4	+1	+8	+2	+14	2.9
2018	27	MLB	2 teams	414	380	85	21	4	7	31	125	1	24	6	.224	.284	.355	.639	.132	.315	30	7	.279	71	-13	+2	+7	+1	+12	0.9
2019	28	AA	2 teams	344	315	66	19	1	8	23	123	1	16	6	.210	.265	.352	.618	.143	.310	36	7	.270	65	-14	+1	+1	+1	+10	-0.1
2020	29	MLB	Washington Nationals	99	92	18	6	0	5	6	27	1	0	0	.196	.253	.424	.676	.228	.217	27	6	.293	82	-2	+0	+0	-1	+3	-0.0
2021	30	MLB	Kansas City Royals	528	483	116	15	1	12	33	144	5	14	7	.240	.296	.350	.645	.110	.313	27	6	.285	76	-14	+0	+15	+2	+15	1.8
2022	31	MLB	Kansas City Royals	456	414	102	10	3	9	35	109	2	4	2	.246	.308	.350	.658	.104	.311	24	8	.291	81	-10	+0	+7	+2	+13	1.2
2023	32	MLB	Minnesota Twins	388	355	81	14	1	23	26	130	3	13	1	.228	.286	.468	.754	.239	.286	34	7	.323	105	+2	+2	+6	+1	+11	2.3
2024	33	MLB	Pittsburgh Pirates	300	269	51	8	1	5	23	105	0	12	1	.190	.253	.283	.536	.093	.282	35	8	.237	40	-20	+2	+9	+1	+8	-0.0
2025	34	MLB	Chicago White Sox	325	295	60	21	1	10	23	110	1	8	3	.203	.263	.383	.646	.180	.282	34	7	.273	67	-12	+0	+1	+1	+9	-0.1
▸ 2026 Season
2026	35	MLB	CWS	298	274	58	14	1	11	21	100	1	9	2	.212	.270	.391	.661	.179	.286	34	7	.293	83	-6	+1	+3	+1	+8	0.8
▸ Career Totals (MLE all levels + projections)
Career	—			6897	6325	1370	285	35	176	446	2248	45	294	88	.217	.273	.356	.629	.140	.303	33	6	.273	67	-257	+24	+60	+23	+195	4.7
/ 162G	—			650	596	129	27	3	17	42	212	4	28	8	.216	.273	.357	.630	.141	.302	33	6	.273	67	-24	+2	+6	+2	+18	0.5

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2010	19	A	Hagerstown Suns	15	13	3	1	0	0	1	2	1	0	0	.231	.333	.308	.641	.077	.273	13	7	.302	89	-0	+0	—	—	+0	0.0
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	53	-8	-1	—	—	+4	-0.4
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	106	+3	-0	—	—	+14	1.7
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	92	-4	+0	—	—	+12	0.9
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	118	+12	+7	—	—	+16	3.6
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	173	+13	-1	—	—	+4	1.6
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	79	-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	108	+0	+0	—	—	+1	0.2
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	171	+35	+4	—	—	+12	5.2
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	78	-13	+2	+2	+2	+14	0.8
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	178	+3	+0	—	—	+1	0.4
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	81	-5	+2	+2	+1	+7	0.7
2016	25	AAA	Syracuse Chiefs	130	117	24	5	1	1	12	33	1	7	1	.205	.285	.291	.575	.085	.277	25	9	.266	62	-6	+1	—	—	+4	-0.1
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	127	+13	+1	+8	+2	+12	3.7
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	48	-2	+1	—	—	+1	-0.0
2017	26	A+	Potomac Nationals	21	19	3	0	0	0	2	7	0	1	0	.158	.238	.158	.396	.000	.250	33	10	.196	8	-2	+0	—	—	+1	-0.1
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	79	-9	+2	+7	+1	+11	1.3
2018	27	INTL	Gigantes del Cibao	29	28	4	1	0	0	1	9	0	0	0	.143	.172	.179	.351	.036	.211	31	3	.162	-18	-4	+0	—	—	+1	-0.3
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	84	-2	+1	+1	+1	+3	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	122	+6	-0	—	—	+7	1.3
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	85	-2	+0	+0	-1	+3	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	82	-11	+0	+15	+2	+15	2.2
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	89	-6	+0	+7	+2	+13	1.6
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	+11	2.0
2024	33	MLB	Pittsburgh Pirates	300	269	52	9	1	5	23	105	0	12	1	.193	.257	.290	.547	.097	.288	35	8	.244	45	-19	+2	+9	+1	+8	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	68	-12	+0	+1	+1	+9	-0.0
▸ 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	85	-66	+12	+57	+16	+108	12.8

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)	35	30	55	55	50	.210/.270/.390	.180	.286	11	9	34%	7%	83	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mike Hessman 2012 · MLB	34	37	55→65	47→45	42	.202/.273/.385	.183	.265	23	4	33%	7%	82	+0.5	.198/.253/.393	.195	.250	27	3	33%	6%	76	+0.1	.195/.260/.385	.189	.236	26	3	30%	7%	75	-0.0
✕Mike Coolbaugh 2006 · AAA	34	43→41	53→55	53→50	42	.228/.277/.396	.168	.276	21	10	26%	6%	86	+0.8	.217/.283/.361	.144	.272	17	9	26%	7%	79	+0.3	.182/.274/.295	.113	.227	14	4	26%	10%	56	-0.6
✕Cody Ransom 2010 · MLB	34	40→41	52→55	49→50	45	.213/.279/.385	.172	.266	20	12	28%	8%	84	+0.6	.222/.285/.399	.177	.290	21	8	30%	8%	90	+1.0	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
✕Mark Little 2006 · MLB	34	44	52→55	52→55	40	.227/.298/.393	.166	.296	20	19	30%	6%	95	+1.4	.232/.315/.357	.125	.319	12	15	29%	6%	92	+1.2	.233/.334/.324	.091	.343	4	13	29%	7%	89	+0.5
●Scott McClain 2007 · MLB	35	39→45	54→55	43→40	43	.215/.265/.391	.175	.246	23	5	24%	6%	80	+0.4	.224/.284/.404	.180	.258	24	5	24%	8%	91	+1.1	.225/.292/.412	.187	.254	26	3	23%	8%	95	+1.3
✕Brandon Snyder 2021 · AAA	34	38→48	54→55	47→45	32	.202/.255/.376	.174	.311	23	5	42%	5%	72	-0.2	.208/.278/.376	.168	.299	22	6	37%	7%	82	+0.5	.167/.256/.333	.166	.222	25	0	37%	7%	59	-0.4
✕Chad Mottola 2007 · MLB	35	42→44	50→55	47→45	40	.220/.258/.373	.153	.265	18	7	25%	4%	72	-0.2	.228/.268/.382	.154	.272	18	9	23%	5%	78	+0.2	.226/.268/.388	.162	.259	19	7	21%	5%	77	+0.1
●Cory Aldridge 2014 · AAA	35	39→49	53→55	45	36	.202/.256/.362	.160	.314	23	9	42%	7%	69	-0.4	.247/.310/.420	.173	.326	24	5	30%	8%	106	+2.2	.265/.337/.463	.198	.320	31	1	26%	9%	128	+2.7
✕Adam Rosales 2018 · MLB	35	43→48	50→55	44→45	42	.222/.283/.377	.155	.300	18	8	32%	7%	83	+0.6	.206/.259/.346	.140	.270	17	5	29%	6%	65	-0.7	.187/.237/.314	.128	.240	16	3	29%	5%	45	-1.3
✕Valentino Pascucci 2013 · AAA	34	41→45	52→55	40→45	48	.212/.296/.376	.164	.302	21	2	35%	10%	89	+1.0	.219/.308/.390	.171	.317	23	4	35%	10%	98	+1.6	.205/.315/.394	.189	.279	29	0	36%	12%	98	+0.8
✕Matt Carson 2015 · MLB	34	45→50	46→60	51→50	39	.225/.273/.349	.124	.298	14	14	29%	5%	72	-0.2	.211/.271/.329	.118	.276	13	14	27%	6%	66	-0.6	.172/.246/.260	.088	.215	9	11	24%	6%	37	-0.8
✕Pedro Swann 2006 · MLB	35	47	50	53→45	40	.238/.290/.398	.161	.288	18	7	24%	5%	92	+1.2	.244/.293/.386	.142	.306	14	11	24%	5%	89	+1.0	.248/.295/.380	.131	.315	11	12	24%	5%	88	+0.5
✕Brad Snyder 2017 · MLB	35	46→54	57→60	50	41	.238/.293/.426	.188	.325	26	8	34%	7%	101	+1.8	.241/.300/.428	.187	.315	24	6	30%	8%	104	+2.0	.229/.294/.434	.205	.292	26	0	30%	8%	100	+0.8
✕Dewayne Wise 2013 · MLB	35	48→40	49→60	59→55	40	.241/.279/.395	.154	.293	16	26	24%	4%	85	+0.7	.228/.272/.362	.134	.289	14	19	25%	5%	74	-0.1	.194/.227/.283	.089	.264	5	9	28%	3%	30	-0.6
✕Ryan LaMarre 2023 · MLB	34	50→52	47→45	52→60	44	.242/.319/.380	.139	.327	14	21	29%	7%	100	+1.7	.222/.294/.354	.132	.316	14	20	32%	7%	82	+0.5	.149/.229/.250	.102	.226	13	33	38%	7%	26	-0.6
✕Brooks Conrad 2015 · MLB	35	41→44	56→55	37→50	41	.220/.276/.411	.190	.285	25	3	32%	7%	89	+1.0	.194/.254/.321	.127	.261	14	6	30%	6%	57	-1.2	.146/.214/.229	.083	.201	8	3	30%	6%	14	-2.2
✕Anthony Recker 2018 · MLB	34	42→48	47→50	49→45	44	.210/.284/.344	.134	.285	14	5	30%	8%	76	+0.0	.215/.278/.370	.155	.292	18	5	31%	7%	79	+0.3	.196/.261/.371	.175	.257	22	0	32%	7%	69	-0.2
✕Alan Zinter 2005 · MLB	37	46	51→55	49→40	43	.230/.296/.393	.163	.322	19	9	33%	8%	93	+1.3	.216/.281/.358	.142	.298	16	6	31%	8%	77	+0.1	.192/.258/.332	.141	.261	17	1	32%	8%	60	-0.3
✕Jonathan Aceves 2013 · AAA	35	44	49→55	41→30	42	.227/.275/.375	.148	.279	18	5	26%	6%	79	+0.3	.223/.277/.366	.143	.268	18	4	24%	6%	78	+0.2	.243/.313/.364	.121	.289	14	1	20%	7%	90	+0.5
✕Damon Hollins 2008 · MLB	34	46→50	53→55	46→45	48	.242/.292/.416	.175	.263	22	10	18%	7%	98	+1.6	.210/.276/.362	.152	.251	18	6	24%	8%	77	+0.1	.180/.253/.319	.139	.213	18	2	25%	8%	52	-1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)