Tim Anderson — OGILVIE

Tim AndersonSS Los Angeles Angels

Age 33 R/R 6'0" / 185 lbs MLB HR -5% Svc 10.000 · Ctrl thru 2026

wRC+†vL 4257vR 14

AVG/OBP/SLG.237 / .279 / .287

PA204

HR1

K%26

BB%5

MLB%100%

Scouting · now → future

HIT

35→35

PWR

35→35

SPD

55→55

EYE

33↗35

trajectory · 10 yrs

-0.3peak

2026

Contract

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

Status FA

MLB Debut 2016

Service 10.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$0.0M	-$1M

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
2013	20	A	Kannapolis Intimidators	301	275	62	8	4	1	15	100	7	24	4	.225	.283	.295	.577	.069	.347	33	5	.252	51	-17	+3	+0	+3	+9	-0.2
2014	21	A+	4 teams	461	444	109	20	5	8	7	154	7	16	7	.245	.269	.367	.636	.122	.356	33	2	.271	66	-18	+0	+0	+5	+13	0.1
2015	22	AA	Birmingham Barons	550	521	144	22	9	4	16	151	7	49	13	.276	.307	.376	.683	.100	.380	27	3	.293	82	-11	+5	+0	+6	+16	1.5
2016	23	MLB	2 teams	687	659	185	31	8	13	19	181	1	21	6	.281	.302	.411	.713	.131	.369	26	3	.304	91	-7	+2	+8	+7	+19	3.0
2017	24	MLB	Chicago White Sox	606	587	151	25	4	17	13	162	3	15	1	.257	.277	.400	.677	.143	.328	27	2	.294	83	-11	+3	-3	+6	+17	1.2
2018	25	MLB	Chicago White Sox	606	567	135	28	3	20	30	149	4	26	8	.238	.281	.404	.685	.166	.287	25	5	.295	84	-11	+2	+9	+6	+17	2.4
2019	26	MLB	2 teams	541	521	172	33	0	18	15	111	3	17	5	.330	.353	.497	.850	.167	.391	21	3	.370	141	+25	+1	+5	+6	+15	5.3
2020	27	MLB	Chicago White Sox	221	208	66	12	2	9	10	50	2	5	2	.317	.355	.524	.879	.207	.380	23	5	.377	147	+12	+0	+3	+2	+6	2.4
2021	28	MLB	Chicago White Sox	551	527	161	30	1	15	22	119	1	18	7	.306	.335	.452	.786	.146	.371	22	4	.343	121	+13	+1	+5	+6	+16	4.1
2022	29	MLB	2 teams	366	347	106	13	0	6	14	61	5	13	0	.305	.342	.395	.736	.089	.357	17	4	.329	110	+4	+3	+1	+4	+10	2.2
2023	30	MLB	Chicago White Sox	524	493	122	18	2	1	26	122	3	13	2	.247	.289	.298	.587	.051	.325	23	5	.265	61	-23	+2	+1	+6	+15	0.1
2024	31	MLB	Miami Marlins	241	234	51	3	0	0	7	68	0	4	4	.218	.241	.231	.471	.013	.307	28	3	.216	23	-21	-1	-0	+3	+7	-1.3
2025	32	MLB	Los Angeles Angels	90	83	17	3	0	0	3	29	3	1	1	.205	.258	.241	.499	.036	.315	32	3	.229	33	-7	-0	+4	+0	+3	-0.0
▸ 2026 Season
2026	33	MLB	LAA	204	190	46	6	1	1	10	54	2	4	1	.242	.287	.300	.587	.058	.325	26	5	.260	57	-10	+0	+1	+2	+6	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB	LAA	163	153	36	5	1	0	8	44	1	3	1	.235	.278	.281	.559	.046	.324	27	5	.254	52	-9	+0	-4	+2	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			6112	5809	1563	257	40	113	215	1555	49	229	62	.269	.301	.385	.686	.116	.349	25	4	.299	87	-91	+21	+29	+65	+173	20.1
/ 162G	—			650	618	166	27	4	12	23	165	5	24	7	.269	.300	.383	.684	.115	.348	25	4	.299	87	-10	+2	+3	+7	+18	2.1

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
2013	20	A	Kannapolis Intimidators	301	267	74	10	5	1	23	78	7	24	4	.277	.350	.363	.713	.086	.384	26	8	.321	104	+1	+3	—	—	+9	1.3
2014	21	AA	Birmingham Barons	45	44	16	3	0	1	0	9	0	0	1	.364	.364	.500	.864	.136	.441	20	0	.373	144	+2	-0	—	—	+1	0.3
2014	21	A+	Winston-Salem Dash	300	286	85	18	7	6	7	68	5	10	3	.297	.326	.472	.798	.175	.369	23	2	.348	124	+8	+1	—	—	+8	1.8
2014	21	ROK	ACL White Sox	17	15	3	0	0	2	2	5	0	0	1	.200	.294	.600	.894	.400	.125	29	12	.380	149	+1	-0	—	—	+0	0.1
2014	21	INTL	Glendale Desert Dogs	99	93	28	6	0	2	4	28	2	6	2	.301	.343	.430	.774	.129	.413	28	4	.346	123	+3	+0	—	—	+3	0.6
2015	22	AA	Birmingham Barons	550	513	160	21	12	5	24	114	7	49	13	.312	.351	.429	.780	.117	.391	21	4	.344	121	+13	+5	—	—	+16	3.4
2016	23	MLB	Chicago White Sox	431	410	116	22	6	9	13	117	1	10	2	.283	.307	.432	.738	.149	.375	27	3	.320	103	+2	+1	+8	+7	+12	3.1
2016	23	AAA	Charlotte Knights	256	247	75	10	2	4	8	58	0	11	4	.304	.325	.409	.734	.105	.384	23	3	.326	107	+2	+1	—	—	+7	1.0
2017	24	MLB	Chicago White Sox	606	587	151	26	4	17	13	162	3	15	1	.257	.277	.402	.679	.145	.328	27	2	.298	86	-9	+3	-3	+6	+17	1.4
2018	25	MLB	Chicago White Sox	606	567	136	28	3	20	30	149	4	26	8	.240	.283	.406	.689	.166	.289	25	5	.302	90	-7	+2	+9	+6	+17	2.8
2019	26	MLB	Chicago White Sox	518	498	167	32	0	18	15	109	3	17	5	.335	.359	.508	.867	.173	.399	21	3	.380	149	+29	+1	+5	+6	+15	5.7
2019	26	AAA	Charlotte Knights	23	23	8	1	0	1	0	2	0	0	0	.348	.348	.522	.870	.174	.350	9	0	.382	151	+1	+0	—	—	+1	0.2
2020	27	MLB	Chicago White Sox	221	208	67	11	1	10	10	50	2	5	2	.322	.359	.529	.888	.207	.383	23	5	.388	155	+14	+0	+3	+2	+6	2.6
2021	28	MLB	Chicago White Sox	551	527	163	29	2	17	22	119	1	18	7	.309	.338	.469	.807	.159	.372	22	4	.356	130	+19	+1	+5	+6	+16	4.7
2022	29	MLB	Chicago White Sox	351	332	100	13	0	6	14	55	5	13	0	.301	.339	.395	.734	.093	.347	16	4	.330	111	+4	+3	+1	+4	+10	2.2
2022	29	AAA	Charlotte Knights	15	15	5	0	0	0	0	5	0	0	0	.333	.333	.333	.667	.000	.500	33	0	.302	89	-0	+0	—	—	+0	0.0
2023	30	MLB	Chicago White Sox	524	493	121	18	2	1	26	122	3	13	2	.245	.287	.296	.584	.051	.323	23	5	.266	62	-23	+2	+1	+6	+15	0.1
2024	31	MLB	Miami Marlins	241	234	50	3	0	0	7	68	0	4	4	.214	.237	.226	.463	.013	.301	28	3	.213	21	-22	-1	-0	+3	+7	-1.3
2025	32	MLB	Los Angeles Angels	90	83	17	3	0	0	3	29	3	1	1	.205	.258	.241	.499	.036	.315	32	3	.231	35	-7	-0	+4	+0	+3	0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4139	3939	1088	185	18	98	153	980	25	122	32	.276	.308	.407	.714	.131	.345	24	4	.316	100	-0	+12	+32	+47	+117	21.2

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
Tim Anderson (OGILVIE)	33	35	35	55	35	.237/.279/.287	.051	.325	1	4	26%	5%	57	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Elliot Soto 2023 · AAA	33	43→52	39→40	51→50	45	.206/.271/.296	.090	.280	6	12	27%	7%	57	-1.2	.193/.257/.271	.078	.287	6	18	32%	7%	44	-2.1	.171/.241/.227	.057	.264	4	23	34%	8%	25	-1.9
✕J.C. Boscan 2013 · AAA	33	38	39→40	43→30	40	.191/.240/.276	.085	.251	7	4	27%	5%	38	-2.6	.190/.238/.256	.066	.252	5	5	25%	5%	32	-3.0	.177/.223/.214	.037	.233	2	2	23%	5%	11	-1.3
✕Daniel Hinojosa 2017 · AAA	33	48	40	47→55	37	.230/.267/.312	.082	.324	8	11	31%	5%	58	-1.2	.217/.271/.307	.090	.312	9	11	31%	6%	59	-1.1	.183/.240/.264	.081	.268	10	5	34%	6%	33	-0.8
✕Jonathan Diaz 2017 · MLB	32	43→48	36→30	46→50	50	.203/.275/.265	.062	.251	3	8	20%	8%	50	-1.7	.211/.295/.293	.082	.267	7	8	22%	9%	67	-0.5	.192/.309/.262	.070	.245	6	4	22%	11%	66	-0.2
✕Pete Kozma 2019 · MLB	31	39→46	37→40	47→50	41	.189/.233/.265	.076	.239	5	10	23%	5%	32	-3.0	.206/.258/.313	.107	.251	9	7	21%	6%	55	-1.4	.197/.250/.291	.094	.245	8	5	22%	6%	44	-1.5
✕Hiroyuki Nakajima 2014 · AAA	32	49	39→40	47→45	39	.234/.279/.317	.082	.316	7	7	28%	5%	65	-0.7	.224/.274/.313	.089	.299	9	8	27%	6%	62	-0.9	.209/.264/.281	.073	.276	8	6	26%	6%	47	-1.1
✕Tyler Ladendorf 2021 · AAA	33	43→49	40	45→50	46	.211/.270/.303	.093	.268	8	8	24%	7%	58	-1.2	.215/.262/.353	.138	.286	16	8	30%	5%	68	-0.5	.192/.237/.331	.139	.245	18	2	30%	4%	50	-0.6
✕John McDonald 2008 · MLB	33	50	38→40	52→50	46	.238/.279/.323	.086	.270	5	13	14%	5%	66	-0.6	.231/.268/.336	.105	.257	9	9	14%	4%	65	-0.7	.234/.264/.350	.116	.253	11	4	13%	3%	65	-0.2
✕Raul Chavez 2006 · MLB	33	44	39→40	45→30	42	.212/.255/.299	.087	.260	7	5	21%	5%	50	-1.7	.219/.255/.303	.084	.251	7	4	16%	4%	51	-1.7	.227/.261/.316	.089	.252	8	1	13%	3%	53	-0.5
✕J.J. Furmaniak 2011 · AAA	32	46→50	38→45	47→50	45	.219/.271/.301	.082	.272	5	10	21%	6%	57	-1.2	.214/.261/.302	.088	.269	6	12	22%	5%	53	-1.5	.201/.241/.280	.079	.251	5	11	22%	5%	37	-1.9
✕Guillermo Quiroz 2016 · MLB	34	45	39→50	48→50	40	.216/.258/.301	.085	.279	6	5	24%	4%	52	-1.6	.222/.264/.345	.123	.288	14	5	27%	4%	66	-0.6	.211/.251/.342	.131	.272	16	0	28%	3%	56	-0.6
✕Ed Rogers 2011 · AAA	32	48→50	39→40	49→50	41	.230/.269/.317	.087	.273	7	15	19%	4%	60	-1.0	.228/.276/.329	.101	.276	9	12	20%	5%	67	-0.5	.263/.312/.337	.074	.311	12	12	19%	4%	83	+0.2
✕Doug Bernier 2013 · AAA	33	44→54	36→40	47→45	44	.206/.266/.274	.069	.287	3	8	28%	7%	49	-1.8	.233/.291/.317	.084	.306	5	7	24%	7%	70	-0.3	.241/.298/.319	.078	.307	5	6	22%	6%	70	-0.2
✕Alberto Rosario 2019 · MLB	32	47	36→30	44→50	41	.223/.258/.285	.062	.274	5	6	20%	4%	46	-2.0	.217/.263/.296	.079	.276	7	7	23%	5%	53	-1.5	.196/.249/.235	.039	.255	3	0	23%	6%	30	-0.8
✕Alberto Castillo 2003 · MLB	33	43	39→30	46→30	48	.208/.271/.294	.087	.253	7	6	20%	7%	56	-1.3	.229/.298/.353	.124	.271	12	7	19%	9%	83	+0.6	.235/.311/.307	.073	.284	2	2	17%	10%	74	-0.0
✕Edgar Vega 2006 · AAA	34	44	36→30	48→30	49	.209/.276/.272	.063	.262	5	6	21%	8%	53	-1.5	.220/.258/.301	.081	.265	6	5	19%	5%	51	-1.7	.228/.251/.314	.086	.268	6	2	17%	3%	47	-0.7
✕Josh Wilson 2013 · MLB	32	44→50	40→45	49→50	40	.214/.262/.313	.099	.274	7	9	24%	5%	57	-1.2	.202/.247/.290	.088	.276	8	7	28%	5%	45	-2.1	.207/.253/.281	.074	.288	6	7	29%	4%	43	-1.2
✕Carlos Maldonado 2012 · AAA	33	43→50	41→40	46→40	46	.208/.271/.302	.094	.271	8	6	26%	8%	59	-1.1	.201/.269/.316	.115	.277	12	6	30%	8%	62	-0.9	.176/.259/.306	.130	.218	17	0	28%	10%	51	-0.5
✕Juan Ciriaco 2017 · AAA	33	46→47	41→45	53→50	42	.225/.259/.324	.099	.268	9	19	20%	4%	58	-1.2	.222/.260/.328	.106	.280	9	14	23%	5%	59	-1.1	.215/.250/.313	.098	.272	8	14	24%	4%	49	-0.8
✕Nicolas Garcia 2013 · AAA	33	50→56	37→40	48→45	43	.237/.274/.308	.072	.278	4	9	17%	4%	59	-1.1	.229/.268/.318	.089	.283	8	10	21%	4%	60	-1.0	.208/.231/.275	.067	.256	6	5	21%	2%	30	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)