Mike Tauchman — OGILVIE

Mike TauchmanRF Chicago White Sox

Age 35 L/L 6'1" / 215 lbs MLB BB +6%HR -6% Svc 9.000 · Ctrl thru 2026 peak 1.0 · 2026

wRC+†vL 114114vR 114

AVG/OBP/SLG.248 / .349 / .385

PA363

HR9

K%22

BB%12

xwOBA.321

Barrel%6.8%

MLB%100%

Scouting · now → future

HIT

50→50

PWR

45→45

SPD

30→30

EYE

64↘60

trajectory · 10 yrs

1.0peak

2026

Barrel%

396.8

xwOBA

610.321

Avg EV

4889.0

Whiff%

560.104

Chase%

760.266

Speed

1024.9

Bat Spd

2969.1

Contract

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

Status FA

MLB Debut 2017

Service 9.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$5M	+1.0	$8M	+$3M
Totals		$5M		$8M	+$3M

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
2014	23	A+	Modesto Nuts	228	205	48	8	2	3	21	56	1	9	3	.234	.308	.337	.645	.102	.306	25	9	.293	82	-5	+1	+0	-2	+6	0.0
2015	24	AA	New Britain Rock Cats	563	522	144	20	7	2	32	90	2	25	13	.276	.320	.352	.673	.077	.329	16	6	.296	85	-10	-0	+0	-6	+16	-0.0
2016	25	AAA	2 teams	663	613	153	25	6	1	32	130	5	28	15	.250	.292	.315	.607	.065	.312	20	5	.262	59	-31	-0	+0	-7	+19	-2.0
2017	26	AAA	2 teams	507	460	120	24	5	10	32	109	4	17	9	.261	.315	.400	.715	.139	.313	21	6	.309	95	-3	-0	-1	-5	+14	0.5
2018	27	AAA	2 teams	508	454	114	23	6	14	45	107	2	13	10	.251	.321	.421	.742	.170	.295	21	9	.323	106	+3	-1	+0	+2	+14	1.9
2019	28	MLB	2 teams	410	361	96	28	4	14	44	90	3	10	0	.266	.350	.482	.832	.216	.317	22	11	.360	133	+16	+2	+7	-4	+12	3.2
2020	29	MLB	New York Yankees	111	95	22	5	0	0	14	26	1	6	0	.232	.336	.284	.621	.053	.314	23	13	.269	64	-4	+1	+0	-1	+3	-0.1
2021	30	MLB	2 teams	345	299	60	13	2	7	38	103	4	5	4	.201	.299	.328	.627	.127	.276	30	11	.274	68	-13	-1	+2	-4	+10	-0.5
2023	32	MLB	2 teams	504	423	107	21	0	11	70	111	5	8	1	.253	.365	.381	.746	.128	.314	22	14	.332	113	+7	+1	+0	+2	+14	2.5
2024	33	MLB	Chicago Cubs	350	298	76	13	1	7	47	70	4	6	2	.255	.364	.376	.740	.121	.311	20	13	.335	115	+6	+0	-2	-4	+10	1.0
2025	34	MLB	2 teams	428	373	91	18	1	10	49	102	4	0	0	.244	.338	.378	.716	.134	.308	24	11	.319	102	+1	+0	-1	-5	+12	0.7
▸ 2026 Season
2026	35	MLB	CWS	363	311	78	15	1	9	45	79	4	4	1	.251	.353	.392	.745	.141	.305	22	12	.334	114	+6	+0	-2	-4	+10	1.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	36	MLB	CWS	290	249	61	11	1	7	36	66	3	3	1	.245	.347	.382	.729	.137	.302	23	12	.324	106	+2	+0	-8	-3	+8	-0.1
2028	37	MLB	CWS	226	195	46	8	1	5	27	54	2	2	0	.236	.335	.364	.699	.128	.298	24	12	.314	98	-0	+0	-8	-2	+6	-0.4
2029	38	MLB	CWS	158	137	30	5	0	3	19	39	1	1	0	.219	.318	.321	.640	.102	.293	25	12	.303	90	-2	+0	-9	-2	+4	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			5654	4995	1246	237	37	103	551	1232	45	137	59	.249	.329	.374	.703	.124	.309	22	10	.310	96	-27	+4	-22	-46	+160	7.0
/ 162G	—			650	574	143	27	4	12	63	142	5	16	7	.249	.328	.373	.701	.124	.308	22	10	.310	96	-3	+0	-3	-5	+18	0.8

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
2014	23	A+	Modesto Nuts	228	197	58	11	4	4	29	41	1	9	3	.294	.388	.452	.839	.157	.353	18	13	.374	144	+11	+1	—	—	+6	1.9
2015	24	AA	New Britain Rock Cats	563	508	149	23	6	3	46	69	2	25	13	.293	.354	.380	.734	.087	.333	12	8	.328	110	+6	-0	—	—	+16	2.2
2016	25	AAA	Albuquerque Isotopes	527	475	136	24	7	1	40	77	2	23	10	.286	.344	.373	.717	.086	.337	15	8	.318	102	+1	+1	—	—	+15	1.7
2016	25	INTL	Aguilas del Zulia	136	119	32	4	0	1	11	16	3	5	5	.269	.346	.328	.674	.059	.301	12	8	.305	92	-1	-1	—	—	+4	0.2
2017	26	MLB	Colorado Rockies	32	27	6	0	1	0	5	10	0	1	2	.222	.344	.296	.640	.074	.353	31	16	.301	88	-0	-1	-1	-5	+1	-0.7
2017	26	AAA	Albuquerque Isotopes	475	420	139	30	8	16	40	73	4	16	7	.331	.394	.555	.949	.224	.361	15	8	.405	168	+37	+0	—	—	+13	5.2
2018	27	MLB	Colorado Rockies	37	32	3	1	0	0	4	15	0	1	0	.094	.194	.125	.319	.031	.176	41	11	.159	-20	-5	+0	+0	+2	+1	-0.2
2018	27	AAA	Albuquerque Isotopes	471	403	130	26	7	20	60	70	2	12	10	.323	.413	.571	.984	.248	.345	15	13	.423	182	+44	-2	—	—	+13	5.7
2019	28	MLB	New York Yankees	296	260	72	18	1	13	34	71	1	6	0	.277	.363	.504	.867	.227	.333	24	11	.380	149	+16	+1	+7	-4	+8	2.9
2019	28	AAA	Scranton/Wilkes-Barre RailRiders	114	95	26	10	3	2	16	16	2	4	0	.274	.389	.505	.895	.232	.308	14	14	.390	156	+7	+1	—	—	+3	1.2
2020	29	MLB	New York Yankees	111	95	23	6	0	0	14	26	1	6	0	.242	.345	.305	.651	.063	.329	23	13	.303	90	-1	+1	+0	-1	+3	0.2
2021	30	MLB	San Francisco Giants	191	166	30	5	0	4	23	58	1	3	3	.181	.284	.283	.567	.102	.250	30	12	.265	61	-8	-1	+2	-4	+5	-0.5
2021	30	AAA	Sacramento River Cats	154	128	34	9	2	3	20	36	3	2	1	.266	.377	.438	.815	.172	.337	23	13	.359	133	+6	+0	—	—	+4	1.0
2023	32	MLB	Chicago Cubs	401	337	85	18	0	8	56	86	4	7	1	.252	.365	.377	.742	.125	.313	21	14	.337	116	+7	+1	+0	+2	+11	2.2
2023	32	AAA	Iowa Cubs	103	79	22	4	0	3	21	21	1	1	0	.278	.436	.443	.879	.165	.333	20	20	.392	158	+7	+0	—	—	+3	1.0
2024	33	MLB	Chicago Cubs	350	298	74	12	1	7	47	70	4	6	2	.248	.358	.366	.724	.117	.302	20	13	.332	112	+5	+0	-2	-4	+10	0.9
2025	34	MLB	Chicago White Sox	385	335	88	17	1	9	45	86	4	0	0	.263	.357	.400	.757	.137	.328	22	12	.342	120	+9	+0	-1	-5	+11	1.4
2025	34	AAA	Charlotte Knights	43	36	4	0	0	1	6	13	0	0	0	.111	.238	.194	.433	.083	.130	30	14	.209	18	-4	+0	—	—	+1	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1803	1550	381	77	4	41	228	422	15	30	8	.246	.348	.380	.728	.134	.311	23	13	.330	111	+22	+3	+5	-19	+51	6.3

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
Mike Tauchman (OGILVIE)	35	50	45	30	60	.248/.349/.385	.137	.305	9	4	22%	12%	114	+1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kosuke Fukudome 2012 · MLB	35	53→54	46→50	39→50	61	.255/.350/.394	.139	.298	12	7	18%	12%	115	+2.8	.241/.332/.353	.112	.291	10	6	19%	12%	98	+1.6	.217/.332/.283	.066	.270	5	2	19%	14%	80	+0.1
●Nick Markakis 2019 · MLB	35	57→63	46→55	36→50	58	.279/.354/.417	.138	.311	12	2	14%	10%	122	+3.3	.273/.344/.410	.137	.305	11	4	14%	10%	117	+2.9	.273/.344/.401	.129	.307	9	2	13%	9%	109	+1.2
✕Leobardo Arauz 2012 · AAA	35	53→58	46→50	36→45	57	.258/.334/.391	.134	.281	12	3	13%	10%	108	+2.3	.236/.321/.369	.133	.265	14	4	16%	10%	97	+1.5	.218/.311/.331	.113	.247	12	2	17%	11%	80	+0.2
✕Francisco Mendez 2013 · AAA	35	50→60	47→50	39→40	55	.246/.330/.381	.134	.299	15	3	22%	11%	104	+2.0	.228/.305/.354	.126	.310	14	4	29%	10%	86	+0.8	.230/.310/.356	.126	.313	15	2	29%	10%	88	+0.6
✕Jose Espinoza 2009 · AAA	35	55→57	43→45	41→45	51	.268/.332/.376	.108	.311	10	9	17%	8%	103	+1.9	.260/.317/.361	.101	.312	8	8	18%	7%	92	+1.2	.263/.322/.362	.099	.316	7	6	18%	7%	92	+0.6
✕Matt Joyce 2021 · MLB	36	52→56	47→60	43→50	60	.255/.355/.392	.137	.313	15	4	22%	13%	117	+2.9	.234/.336/.373	.139	.292	15	7	23%	13%	105	+2.1	.145/.299/.260	.115	.163	15	0	22%	16%	56	-0.2
●Scott Hatteberg 2006 · MLB	36	54→63	44→50	39→30	61	.263/.344/.381	.119	.273	12	1	9%	10%	110	+2.4	.279/.366/.416	.137	.291	13	3	9%	12%	128	+3.6	.295/.390/.447	.152	.304	14	1	8%	13%	138	+3.5
✕A.J. Ellis 2016 · MLB	35	47→51	44→45	41→40	62	.228/.331/.345	.117	.261	12	2	17%	13%	95	+1.4	.230/.324/.353	.123	.266	13	5	18%	11%	95	+1.4	.229/.323/.331	.102	.271	10	2	18%	11%	82	+0.2
✕Daryle Ward 2008 · MLB	33	55→56	52→60	39→30	57	.275/.352/.449	.174	.303	18	3	16%	10%	130	+3.8	.244/.323/.406	.162	.284	18	5	20%	10%	108	+2.3	.227/.301/.363	.136	.259	17	2	19%	9%	86	+0.3
●Raul Gonzalez 2009 · AAA	35	53→62	43→45	37→50	49	.259/.311/.371	.112	.294	10	5	16%	7%	92	+1.2	.280/.340/.411	.131	.319	14	12	16%	7%	115	+2.8	.316/.383/.456	.139	.356	16	16	15%	8%	139	+1.9
✕Hector Garanzuay 2016 · AAA	35	56→61	42→45	38→50	47	.269/.313/.369	.100	.301	10	5	14%	6%	92	+1.2	.249/.298/.347	.098	.283	9	7	15%	6%	81	+0.4	.241/.300/.320	.079	.265	9	5	12%	7%	76	+0.0
✕Mark Kotsay 2011 · MLB	35	53→63	44→50	40→50	54	.255/.312/.376	.121	.271	10	5	11%	8%	94	+1.3	.244/.305/.349	.105	.265	9	6	11%	8%	84	+0.6	.238/.298/.313	.075	.263	6	3	11%	8%	65	-0.2
✕John Mabry 2006 · MLB	35	49	53→60	43→30	50	.252/.319/.427	.175	.295	21	3	22%	9%	111	+2.5	.227/.299/.373	.146	.279	16	4	24%	9%	89	+0.9	.202/.283/.319	.117	.252	13	0	24%	10%	67	-0.2
●Shin-Soo Choo 2017 · MLB	35	51→61	50→55	43→55	55	.251/.351/.409	.158	.308	18	7	23%	11%	120	+3.1	.253/.355/.416	.163	.308	19	10	23%	12%	124	+3.4	.254/.361/.419	.165	.312	20	10	23%	13%	118	+3.2
✕Greg Norton 2008 · MLB	36	51	52→60	35→40	55	.259/.342/.426	.167	.304	20	4	22%	11%	121	+3.2	.249/.348/.389	.140	.303	14	5	21%	13%	113	+2.6	.242/.354/.368	.127	.293	12	3	20%	15%	104	+0.7
✕Troy O'Leary 2003 · MLB	33	52→53	47→50	39→30	53	.259/.326/.405	.147	.290	14	3	16%	8%	108	+2.3	.243/.311/.381	.138	.276	14	8	17%	8%	96	+1.5	.212/.273/.347	.134	.231	15	9	16%	7%	67	-0.2
✕John Jaso 2017 · MLB	33	54→56	48→50	37→45	56	.267/.347/.424	.157	.308	14	3	18%	10%	122	+3.3	.242/.337/.416	.174	.284	18	5	20%	11%	116	+2.8	.209/.327/.408	.199	.239	21	2	22%	13%	102	+1.0
✕David DeJesus 2015 · MLB	35	52→62	46→50	42→45	56	.253/.337/.399	.146	.290	12	6	17%	10%	111	+2.5	.239/.312/.365	.126	.275	12	7	17%	8%	92	+1.2	.228/.294/.320	.092	.263	9	6	16%	7%	69	-0.2
✕David Murphy 2015 · MLB	33	52→60	48→55	40→50	54	.258/.323/.409	.150	.278	15	6	14%	8%	108	+2.3	.256/.305/.392	.136	.281	14	4	14%	7%	95	+1.4	.272/.311/.402	.130	.293	15	0	13%	5%	97	+1.0
✕Adrián González 2017 · MLB	35	55→64	53→65	36→30	53	.280/.347/.457	.177	.311	21	2	18%	9%	131	+3.9	.258/.318/.404	.146	.295	16	3	18%	8%	105	+2.1	.241/.295/.364	.122	.276	13	0	17%	7%	80	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)