Tim Anderson

SS Los Angeles Angels

Age 34 R/R 6'0" / 185 lbs MLB K +5%HR +4% Svc 11.000 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	30	MLBCWS	524	.245/.287/.296	1	13	66	-0.1
2024	31	MLBMIA	241	.214/.237/.226	0	4	33	-1.3
2025	32	MLBLAA	90	.205/.258/.241	0	1	44	0.0
2026	33	No MLB games played
2027PROJ	34	MLBLAA	126	.236/.277/.296	1	2	63	-0.2
2028PROJ	35	MLBLAA	93	.225/.265/.275	0	1	53	-0.8

Last 3 seasons WAR -1.4 · Next 2 projected WAR -1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service11.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

Speed60

Bat Spd29

Avg EV28

Barrel%10

xwOBA10

CompsElliot Soto (age 34) · John McDonald (age 33) · Shane Robinson (age 34)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 6663vR 53

AVG/OBP/SLG.236 / .277 / .296

PA126

HR1

K%26

BB%4

BABIP319

ISO85

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2023-2025

CONTACT

xAVG

280.233

POWER

Barrel%

102.3

Avg EV

2887.4

Bat Spd

2969.1

SPEED

Sprint

6027.9

Platoon Splits2024-2025 · 313 PA

vs LHP

vs RHP

Edge

223

—

wRC+

◀◀L

wOBA

240

204

◀◀L

ISO

012

019

▶▶R

BABIP

333

289

◀L

27.8%

29.6%

◀L

BB%

5.6%

2.2%

◀◀L

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

Status FA

MLB Debut 2016

Service 11.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-0.4M	-$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)
2013	20	A	Kannapolis Intimidators	—	301	267	74	10	5	1	23	78	7	24	4	277	350	363	713	86	384	26	8	321	70	—	—	—	—	—	—
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	112	—	—	—	—	—	—
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	74	—	—	—	—	—	—
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	49	—	—	—	—	—	—
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	120	—	—	—	—	—	—
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	95	—	—	—	—	—	—
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	102	+1	+1	+8	+7	+9	2.7
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	88	—	—	—	—	—	—
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	87	-10	+3	-3	+6	+13	0.9
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	88	-9	+2	+9	+6	+13	2.2
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	142	+26	+1	+5	+6	+11	5.0
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	95	—	—	—	—	—	—
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	147	+12	+0	+3	+2	+5	2.3
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	125	+16	+1	+5	+6	+12	4.1
2022	29	MLB	Chicago White Sox	—	351	332	100	13	0	6	14	55	5	13	0	301	339	395	734	93	347	16	4	330	108	+3	+3	+1	+4	+8	1.8
2022	29	AAA	Charlotte Knights	—	15	15	5	0	0	0	0	5	0	0	0	333	333	333	667		500	33	0	302	46	—	—	—	—	—	—
2023	30	MLB	Chicago White Sox	—	524	493	121	18	2	1	26	122	3	13	2	245	287	296	584	51	323	23	5	266	66	-21	+2	+2	+6	+11	-0.1
2024	31	MLB	Miami Marlins	—	241	234	50	3	0	0	7	68	0	4	4	214	237	226	463	13	301	28	3	213	33	-19	-1	-0	+3	+5	-1.3
2025	32	MLB	Los Angeles Angels	—	90	83	17	3	0	0	3	29	3	1	1	205	258	241	499	36	315	32	3	231	44	-6	-0	+4	+0	+2	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	+90	18.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	20	A MLE	Kannapolis Intimidators	—	301	273	67	8	5	1	17	102	7	24	4	245	306	322	629	77	369	34	6	271	70	—	—	—	—	—	—
2014	21	AA MLE	Birmingham Barons	—	45	44	15	3	0	1	0	11	0	0	1	341	341	477	818	136	426	24	0	334	112	—	—	—	—	—	—
2014	21	A+ MLE	Winston-Salem Dash	—	300	288	73	13	5	5	4	100	5	10	3	253	275	385	661	132	359	33	1	277	74	—	—	—	—	—	—
2014	21	ROK MLE	ACL White Sox	—	17	16	2	0	0	1	1	7	0	0	1	125	176	312	489	188	95	41	6	241	49	—	—	—	—	—	—
2015	22	AA MLE	Birmingham Barons	—	550	520	153	23	10	4	16	142	7	49	13	294	324	400	724	106	388	26	3	309	95	—	—	—	—	—	—
2016	23	MLB MLE	Chicago White Sox	—	431	410	116	22	6	9	13	117	1	10	2	283	307	432	738	149	375	27	3	319	102	+1	+1	+8	+7	+9	2.7
2016	23	AAA MLE	Charlotte Knights	—	256	249	72	9	2	4	6	66	0	11	4	289	306	390	695	100	380	26	2	299	88	—	—	—	—	—	—
2017	24	MLB MLE	Chicago White Sox	—	606	587	151	26	4	17	13	162	3	15	1	257	277	402	679	145	328	27	2	296	87	-10	+3	-3	+6	+13	0.9
2018	25	MLB MLE	Chicago White Sox	—	606	569	136	28	3	20	28	149	4	26	8	239	280	404	684	165	289	25	5	298	88	-9	+2	+9	+6	+13	2.2
2019	26	MLB MLE	Chicago White Sox	—	518	498	167	32	0	18	15	109	3	17	5	335	359	508	867	173	399	21	3	378	142	+26	+1	+5	+6	+11	5.0
2019	26	AAA MLE	Charlotte Knights	—	23	23	7	1	0	1	0	3	0	0	0	304	304	478	783	174	309	13	0	309	95	—	—	—	—	—	—
2020	27	MLB MLE	Chicago White Sox	—	221	208	67	11	1	10	10	50	2	5	2	322	359	529	888	207	383	23	5	386	147	+12	+0	+3	+2	+5	2.3
2021	28	MLB MLE	Chicago White Sox	—	551	528	163	29	2	17	21	119	1	18	7	309	336	468	804	159	372	22	4	353	125	+16	+1	+5	+6	+12	4.1
2022	29	MLB MLE	Chicago White Sox	—	351	333	100	13	0	6	13	55	5	13	0	300	336	393	730	93	347	16	4	327	108	+3	+3	+1	+4	+8	1.8
2022	29	AAA MLE	Charlotte Knights	—	15	15	4	0	0	0	0	6	0	0	0	267	267	267	533		455	40	0	236	46	—	—	—	—	—	—
2023	30	MLB MLE	Chicago White Sox	—	524	493	121	18	2	1	26	122	3	13	2	245	287	296	584	51	323	23	5	265	66	-21	+2	+2	+6	+11	-0.1
2024	31	MLB MLE	Miami Marlins	—	241	234	51	3	0	0	7	68	0	4	4	218	241	231	471	13	301	28	3	217	33	-19	-1	-0	+3	+5	-1.3
2025	32	MLB MLE	Los Angeles Angels	—	90	83	17	3	0	0	3	29	3	1	1	205	258	241	499	36	315	32	3	233	44	-6	-0	+4	+0	+2	0.0
2013	20	A MLE	Kannapolis Intimidators	—	301	273	67	8	5	1	17	102	7	24	4	245	306	322	629	77	384	34	6	271	70	—	—	—	—	—	—
2013	20	A RAW	Kannapolis Intimidators	—	301	267	74	10	5	1	23	78	7	24	4	277	350	363	713	86	384	26	8	321	70	—	—	—	—	—	—
2014	21	A+ MLE	4 teams	—	461	444	113	20	6	9	7	152	7	16	7	255	277	387	665	133	365	33	2	282	77	—	—	—	—	—	—
2014	21	A+ RAW	4 teams	—	461	438	132	27	7	11	13	110	7	16	7	301	332	470	802	169	379	24	3	351	77	—	—	—	—	—	—
2015	22	AA MLE	Birmingham Barons	—	550	521	153	23	10	4	16	142	7	49	13	294	324	399	723	106	395	26	3	309	95	—	—	—	—	—	—
2015	22	AA RAW	Birmingham Barons	—	550	513	160	21	12	5	24	114	7	49	13	312	351	429	780	117	391	21	4	344	95	—	—	—	—	—	—
2016	23	MLB MLE	2 teams	—	687	659	187	31	8	12	19	183	1	21	6	284	305	410	715	126	376	27	3	311	97	-3	+2	+8	+7	+15	3.0
2016	23	MLB RAW	2 teams	—	687	657	191	32	8	13	21	175	1	21	6	291	314	423	737	132	379	25	3	322	97	-3	+2	+8	+7	+15	3.0
2017	24	MLB MLE	Chicago White Sox	—	606	587	151	26	4	17	13	162	3	15	1	257	277	402	679	145	328	27	2	296	87	-10	+3	-3	+6	+13	0.9
2017	24	MLB RAW	Chicago White Sox	—	606	587	151	26	4	17	13	162	3	15	1	257	277	402	679	145	328	27	2	298	87	-10	+3	-3	+6	+13	0.9
2018	25	MLB MLE	Chicago White Sox	—	606	569	136	28	3	20	28	149	4	26	8	239	280	404	684	165	288	25	5	298	88	-9	+2	+9	+6	+13	2.2
2018	25	MLB RAW	Chicago White Sox	—	606	567	136	28	3	20	30	149	4	26	8	240	283	406	689	166	289	25	5	302	88	-9	+2	+9	+6	+13	2.2
2019	26	MLB MLE	2 teams	—	541	521	173	33	0	18	15	112	3	17	5	332	354	499	853	167	394	21	3	376	140	+26	+1	+5	+6	+12	5.1
2019	26	MLB RAW	2 teams	—	541	521	175	33	0	19	15	111	3	17	5	336	358	509	867	173	397	21	3	381	140	+26	+1	+5	+6	+12	5.1
2020	27	MLB MLE	Chicago White Sox	—	221	208	67	11	1	10	10	50	2	5	2	322	359	529	888	207	383	23	5	386	147	+12	+0	+3	+2	+5	2.3
2020	27	MLB RAW	Chicago White Sox	—	221	208	67	11	1	10	10	50	2	5	2	322	359	529	888	207	383	23	5	388	147	+12	+0	+3	+2	+5	2.3
2021	28	MLB MLE	Chicago White Sox	—	551	528	163	29	2	17	21	119	1	18	7	309	336	468	804	159	372	22	4	353	125	+16	+1	+5	+6	+12	4.1
2021	28	MLB RAW	Chicago White Sox	—	551	527	163	29	2	17	22	119	1	18	7	309	338	469	807	159	372	22	4	356	125	+16	+1	+5	+6	+12	4.1
2022	29	MLB MLE	2 teams	—	366	348	104	13	0	6	13	61	5	13	0	299	333	388	721	89	349	17	4	323	105	+2	+3	+1	+4	+8	1.8
2022	29	MLB RAW	2 teams	—	366	347	105	13	0	6	14	60	5	13	0	303	339	392	731	89	352	16	4	329	105	+2	+3	+1	+4	+8	1.8
2023	30	MLB MLE	Chicago White Sox	—	524	493	121	18	2	1	26	122	3	13	2	245	287	296	584	51	323	23	5	265	66	-21	+2	+2	+6	+11	-0.1
2023	30	MLB RAW	Chicago White Sox	—	524	493	121	18	2	1	26	122	3	13	2	245	287	296	584	51	323	23	5	266	66	-21	+2	+2	+6	+11	-0.1
2024	31	MLB MLE	Miami Marlins	—	241	234	51	3	0	0	7	68	0	4	4	218	241	231	471	13	307	28	3	217	33	-19	-1	-0	+3	+5	-1.3
2024	31	MLB RAW	Miami Marlins	—	241	234	50	3	0	0	7	68	0	4	4	214	237	226	463	13	301	28	3	213	33	-19	-1	-0	+3	+5	-1.3
2025	32	MLB MLE	Los Angeles Angels	—	90	83	17	3	0	0	3	29	3	1	1	205	258	241	499	36	315	32	3	233	44	-6	-0	+4	+0	+2	0.0
2025	32	MLB RAW	Los Angeles Angels	—	90	83	17	3	0	0	3	29	3	1	1	205	258	241	499	36	315	32	3	231	44	-6	-0	+4	+0	+2	0.0
2013	20	A MLE	Kannapolis Intimidators	—	301	274	67	8	5	1	17	102	7	24	4	245	306	321	628	77	369	34	6	271	70	—	—	—	—	—	—
2014	21	A+ MLE	4 teams	—	461	444	113	20	6	9	7	152	7	16	7	255	277	387	665	133	355	33	2	282	77	—	—	—	—	—	—
2015	22	AA MLE	Birmingham Barons	—	550	522	153	23	10	4	16	142	7	49	13	293	324	398	722	105	388	26	3	309	95	—	—	—	—	—	—
2016	23	MLB MLE	2 teams	—	687	662	187	31	8	12	19	183	1	21	6	282	305	408	713	125	377	27	3	311	97	—	—	—	—	—	—
2017	24	MLB MLE	Chicago White Sox	—	606	585	151	26	4	17	13	162	3	15	1	258	277	403	680	145	328	27	2	296	87	—	—	—	—	—	—
2018	25	MLB MLE	Chicago White Sox	—	606	569	136	28	3	20	28	149	4	26	8	239	280	404	684	165	289	25	5	298	88	—	—	—	—	—	—
2019	26	MLB MLE	2 teams	—	541	518	173	33	0	18	15	112	3	17	5	334	354	502	856	168	396	21	3	376	140	—	—	—	—	—	—
2020	27	MLB MLE	Chicago White Sox	—	221	207	67	11	1	10	10	50	2	5	2	324	359	531	890	208	383	23	5	386	147	—	—	—	—	—	—
2021	28	MLB MLE	Chicago White Sox	—	551	524	163	29	2	17	21	119	1	18	7	311	336	471	808	160	372	22	4	353	125	—	—	—	—	—	—
2022	29	MLB MLE	2 teams	—	366	345	104	13	0	6	13	61	5	13	0	301	333	391	725	90	351	17	4	323	105	—	—	—	—	—	—
2023	30	MLB MLE	Chicago White Sox	—	524	490	121	18	2	1	26	122	3	13	2	247	287	298	585	51	323	23	5	265	66	—	—	—	—	—	—
2024	31	MLB MLE	Miami Marlins	—	241	232	51	3	0	0	7	68	0	4	4	220	241	233	473	13	301	28	3	217	33	—	—	—	—	—	—
2025	32	MLB MLE	Los Angeles Angels	—	90	84	17	3	0	0	3	29	3	1	1	202	258	238	497	36	315	32	3	233	44	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	31	MLB MLE	Miami Marlins	—	241	232	51	3	0	0	7	68	0	4	4	220	241	233	473	13	301	28	3	217	33	—	—	—	—	—	—
2025	32	MLB MLE	Los Angeles Angels	—	90	84	17	3	0	0	3	29	3	1	1	202	258	238	497	36	315	32	3	233	44	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	34	MLB MLE	LAA	100%	204	191	46	8	1	1	8	54	3	4	1	237	279	300	578	62	322	26	4	262	63	-9	+0	-1	+2	+4	-0.1
▸ 2027 — real world (MLB)
2027	34	MLB CTX	LAA	100%	126	118	29	5	1	1	5	33	2	2	1	236	277	296	574	61	319	26	4	260	63	-6	+0	-0	+1	+3	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	35	MLB MLE	LAA	100%	93	88	19	3	0	0	4	25	1	1	0	226	266	278	544	52	312	27	4	247	53	-5	+0	-6	+1	+2	-0.8
2028	35	MLB CTX	LAA	100%	93	88	19	3	0	0	4	25	1	1	0	225	265	275	540	50	310	27	4	245	53	-5	+0	-6	+1	+2	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4232	4027	1107	188	18	98	157	1005	26	123	32	275	306	404	710	129	344	24	4	314	93	-5	+12	+26	+48	+92	17.5
/ 162G	—	A+C		—	650	619	170	29	3	15	24	154	4	19	5	275	307	404	710	129	343	24	4	314	93	-1	+2	+4	+7	+14	2.7
Career	—	MLE		—	5964	5674	1551	254	42	116	204	1509	49	225	61	273	304	394	699	121	353	25	3	306	93	-11	+12	+25	+49	+94	17.4
/ 162G	—	MLE		—	650	618	170	28	5	13	22	164	5	25	7	275	305	400	705	125	354	25	3	306	93	-2	+2	+4	+7	+14	2.6

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 AAACharlotte Knights · 15 PAwOBA .293 → .236 (−57)K% 33.3% → 41.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.975	×1.200	—	—	41.04%
BB% (unintentional) /PA	0.00%	÷1.028	×0.690	—	×0.982	0.00%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	50.00%	÷1.003	×0.930	—	×0.982	45.54%
Doubles /BIP	0.00%	÷1.028	×0.830	—	×0.982	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.421	×0.700	—	×0.982	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .293 → .236; ISO .000 → .000; BABIP .500 → .455. 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).

2019 AAACharlotte Knights · 23 PAwOBA .371 → .309 (−62)K% 8.7% → 10.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.70%	÷0.962	×1.200	—	—	10.85%
BB% (unintentional) /PA	0.00%	÷1.077	×0.690	—	×1.018	0.00%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	28.57%	÷1.061	×0.930	—	×1.018	25.50%
Doubles /BIP	4.76%	÷0.921	×0.830	—	×1.018	4.37%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.018	0.00%
Home runs /BIP	4.76%	÷1.212	×0.840	—	×1.018	3.36%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .371 → .309; ISO .174 → .129; BABIP .350 → .309. 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 AAACharlotte Knights · 256 PAwOBA .317 → .299 (−18)K% 22.7% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.66%	÷1.053	×1.200	—	—	25.83%
BB% (unintentional) /PA	3.12%	÷0.990	×0.690	—	×1.050	2.29%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	31.22%	÷1.031	×0.930	×1.050	×1.050	31.03%
Doubles /BIP	5.29%	÷0.974	×0.830	×1.050	×1.050	4.97%
Triples /BIP	1.06%	÷0.926	×0.970	×1.050	×1.050	1.22%
Home runs /BIP	2.12%	÷0.950	×0.840	—	×1.050	1.96%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 106, 2B 95, 3B 85, K 111, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .317 → .299; ISO .105 → .099; BABIP .384 → .380. 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 AABirmingham Barons · 550 PAwOBA .336 → .309 (−27)K% 20.7% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.73%	÷0.981	×1.220	—	—	25.77%
BB% (unintentional) /PA	4.36%	÷1.019	×0.680	—	×1.042	3.03%
HBP% /PA	1.27%	—	×0.840	—	×1.042	1.11%
Singles /BIP	30.58%	÷1.007	×0.920	×1.033	×1.042	30.08%
Doubles /BIP	5.26%	÷0.875	×0.910	×1.033	×1.042	5.89%
Triples /BIP	3.01%	÷1.087	×0.880	×1.033	×1.042	2.62%
Home runs /BIP	1.25%	÷1.102	×0.800	—	×1.042	0.95%

Factors used: league row SL. Park (home-season share, regressed): HR 120, 1B 101, 2B 75, 3B 117, K 96, BB 104 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .336 → .309; ISO .117 → .105; BABIP .391 → .388. 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 A+Winston-Salem Dash · 300 PAwOBA .340 → .277 (−63)K% 22.7% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.67%	÷0.961	×1.420	—	—	33.51%
BB% (unintentional) /PA	2.33%	÷1.012	×0.630	—	×1.027	1.49%
HBP% /PA	1.67%	—	×0.860	—	×1.027	1.47%
Singles /BIP	24.77%	÷0.949	×0.940	×1.039	×1.027	26.19%
Doubles /BIP	8.26%	÷1.069	×0.830	×1.039	×1.027	6.84%
Triples /BIP	3.21%	÷1.150	×0.800	×1.039	×1.027	2.38%
Home runs /BIP	2.75%	÷1.065	×0.900	—	×1.027	2.39%

Factors used: league row CAR. Park (home-season share, regressed): HR 113, 1B 90, 2B 114, 3B 130, K 92, BB 102 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .340 → .277; ISO .175 → .125; BABIP .369 → .359. 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 AABirmingham Barons · 45 PAwOBA .362 → .334 (−29)K% 20.0% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.955	×1.220	—	—	25.55%
BB% (unintentional) /PA	0.00%	÷1.057	×0.680	—	×1.050	0.00%
HBP% /PA	0.00%	—	×0.840	—	×1.050	0.00%
Singles /BIP	34.29%	÷1.021	×0.920	—	×1.050	32.43%
Doubles /BIP	8.57%	÷0.903	×0.910	—	×1.050	9.07%
Triples /BIP	0.00%	÷1.065	×0.880	—	×1.050	0.00%
Home runs /BIP	2.86%	÷0.967	×0.800	—	×1.050	2.48%

Factors used: league row SL. Park (home-season share, regressed): HR 93, 1B 104, 2B 81, 3B 113, K 91, BB 111 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average).

Result: wOBA .362 → .334; ISO .136 → .126; BABIP .441 → .426. 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 ROKACL White Sox · 17 PAwOBA .369 → .241 (−128)K% 29.4% → 42.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.41%	÷1.000	×1.440	—	—	42.35%
BB% (unintentional) /PA	11.76%	÷1.000	×0.620	—	×0.985	7.18%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	10.00%	÷1.000	×0.820	—	×0.985	8.08%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	20.00%	÷1.000	×0.780	—	×0.985	15.37%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .369 → .241; ISO .400 → .264; BABIP .125 → .095. 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 AKannapolis Intimidators · 301 PAwOBA .315 → .271 (−44)K% 25.9% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.91%	÷1.024	×1.340	—	—	33.91%
BB% (unintentional) /PA	7.64%	÷0.924	×0.660	—	×1.030	5.62%
HBP% /PA	2.33%	—	×0.770	—	×1.030	1.84%
Singles /BIP	30.69%	÷0.994	×0.920	×1.020	×1.030	29.86%
Doubles /BIP	5.29%	÷0.980	×0.820	×1.020	×1.030	4.65%
Triples /BIP	2.65%	÷1.004	×0.940	×1.020	×1.030	2.60%
Home runs /BIP	0.53%	÷1.053	×0.820	—	×1.030	0.42%

Factors used: league row SAL. Park (home-season share, regressed): HR 111, 1B 99, 2B 96, 3B 101, K 105, BB 85 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .315 → .271; ISO .086 → .074; BABIP .384 → .369. 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
#1Jose Iglesiaslast yr '25 career totals — 12 seasons, 4,671 PA	7.0	4,671	54	70	279	321	380	+46	+81	24.3	21.4
/162	664	8	10	+6.5	+11.5	3.5	pk7: 18
#2Erick Aybarlast yr '17 career totals — 11 seasons, 5,588 PA	8.4	5,588	58	154	271	314	372	+58	+49	22.0	21.3
/162	664	7	18	+6.9	+5.8	2.6	pk7: 21
#3Mark Grudzielanek'95-'10 * career totals — 15 seasons, 7,603 PA	11.5	7,603	90	133	277*	319*	384*	+46	+32	24.1	20.8
/162	664	8	12	+4.0	+2.8	2.1	pk7: 17
#4Dickie Thon'79-'93 * career totals — 14 seasons, 4,871 PA	7.3	4,871	71	167	262*	316*	403*	+44	+12	20.6	20.8
/162	664	10	23	+6.0	+1.6	2.8	pk7: 21
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	6.6	4,358	99	125	276	304	404	+46	+58	16.5	17.4
/162	664	15	19	+7.0	+8.8	2.5	pk7: 18
#5Rick Burleson'74-'87 * career totals — 12 seasons, 5,717 PA	8.6	5,717	50	72	269*	329*	388*	+51	+43	17.6	17.2
/162	664	6	8	+6.0	+5.0	2.0	pk7: 17
#6Joey Wendlelast yr '23 career totals — 7 seasons, 2,286 PA	3.4	2,286	31	61	262	312	385	+10	+26	9.3	9.3
/162	664	9	18	+3.0	+7.6	2.7	pk7: 9

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)	34	—	—	—	—	235/277/297	62	322	1	2	26%	4%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Elliot Soto 2024 · AAA	34	40→50	38→40	56→50	40	192/250/273	80	279	5	16	32%	6%	49	-2.4	194/260/274	80	280	6	19	30%	8%	53	-2.1	173/245/230	57	248	4	23	30%	8%	35	-2.7
✕John McDonald 2008 · MLB	33	50	38→40	52→50	46	237/276/323	87	269	5	13	14%	5%	69	-0.9	233/269/344	111	257	10	9	14%	4%	72	-0.7	235/265/358	123	252	13	4	13%	3%	74	-0.2
✕Shane Robinson 2019 · MLB	34	48→56	37→45	58→55	46	227/269/301	74	260	4	19	14%	5%	61	-1.5	228/285/328	100	252	11	14	14%	7%	74	-0.5	227/291/312	85	242	11	11	12%	8%	72	-0.4
✕Jack Reinheimer 2024 · AAA	32	39→49	38→40	55	37	191/241/270	78	281	6	19	33%	5%	44	-2.8	191/238/280	89	267	8	13	30%	5%	45	-2.7	136/171/180	44	185	3	12	28%	4%	-4	-1.4
✕Carlos Orrantia 2016 · AAA	34	49→54	39→45	47→55	41	233/275/316	83	290	6	10	22%	4%	67	-1.1	224/263/301	77	282	7	9	22%	5%	59	-1.7	219/248/272	53	273	5	8	21%	4%	43	-1.0
✕Doug Bernier 2014 · MLB	34	47→52	37→40	47→45	44	221/282/302	81	300	4	8	26%	7%	67	-1.1	225/278/310	85	286	7	7	22%	6%	67	-1.1	221/273/300	79	278	7	6	22%	6%	60	-1.1
✕Wil Nieves 2012 · MLB	34	43→53	39→40	48→40	44	207/249/286	79	241	7	5	18%	5%	51	-2.3	243/273/333	90	293	8	5	19%	4%	70	-0.8	264/287/344	79	323	6	2	20%	3%	78	-0.1
✕Ed Rogers 2013 · AAA	34	44→50	41→40	49→50	43	215/267/315	100	261	8	11	21%	5%	64	-1.3	235/289/337	102	286	11	12	21%	6%	78	-0.3	245/292/305	60	291	9	12	19%	4%	70	-0.3
✕Daniel Hinojosa 2019 · AAA	35	46	39→40	49→55	43	218/276/297	79	299	6	11	28%	7%	63	-1.3	207/259/340	133	322	16	10	39%	6%	68	-1.0	127/163/250	124	192	20	5	47%	4%	9	-1.0
✕Craig Gentry 2018 · MLB	34	44→54	39→40	52→60	46	213/273/296	83	271	6	21	23%	7%	62	-1.4	236/296/338	102	295	8	23	22%	7%	80	-0.1	265/317/340	75	326	3	43	18%	7%	88	+0.1
✕Drew Maggi 2024 · AAA	35	37→47	38→45	53→60	41	180/249/254	74	254	5	20	30%	6%	45	-2.7	204/260/322	118	277	13	12	30%	6%	63	-1.3	167/212/305	138	216	20	4	33%	5%	40	-0.6
✕Guillermo Quiroz 2016 · MLB	34	43	38→45	47→50	40	210/251/290	80	270	6	5	24%	4%	52	-2.2	216/260/339	123	280	14	6	27%	5%	68	-1.0	199/236/322	123	255	15	0	28%	3%	52	-1.1
✕Trinidad Robles 2007 · AAA	34	49	42→40	49→45	43	238/291/342	103	297	9	12	23%	6%	79	-0.2	216/270/303	87	266	7	7	21%	6%	63	-1.4	210/265/282	72	256	6	3	20%	6%	54	-1.0
✕Erick Almonte 2011 · AAA	33	51→47	39→40	51→45	45	243/293/327	84	310	6	7	23%	6%	76	-0.4	226/278/314	88	291	7	6	23%	7%	68	-1.0	235/290/336	101	283	10	3	20%	7%	74	-0.3
✕Nicolas Garcia 2013 · AAA	33	49→58	36→40	49→45	43	231/271/297	66	275	4	9	17%	4%	61	-1.5	225/269/317	92	280	8	10	22%	5%	65	-1.2	199/221/264	65	246	4	5	21%	2%	31	-0.6
✕Michael Martinez 2016 · MLB	33	48→52	38→45	50	44	229/268/316	87	276	5	12	19%	5%	63	-1.3	228/266/318	90	287	5	9	21%	5%	63	-1.3	226/260/303	77	288	3	6	22%	4%	56	-0.8
✕Pete Orr 2013 · MLB	34	46→45	40→45	56→55	41	223/262/319	96	272	7	22	21%	4%	63	-1.4	225/257/314	89	285	6	15	23%	3%	59	-1.7	224/253/303	80	284	4	14	22%	3%	53	-1.3
✕Brendan Ryan 2017 · MLB	35	41→51	36→40	47→55	40	197/245/264	67	274	3	10	28%	5%	44	-2.8	204/261/289	85	264	6	9	24%	7%	56	-1.9	189/251/260	71	239	5	6	22%	7%	43	-1.9
✕Wilson Valdez 2012 · MLB	34	52→62	38→40	49→55	47	243/283/331	88	274	5	10	13%	5%	73	-0.6	220/259/292	72	261	5	11	17%	5%	55	-1.9	199/229/220	21	244	0	12	17%	4%	26	-1.1
✕Jorge Velandia 2008 · MLB	33	47→51	41→40	46→45	42	229/268/327	98	282	8	9	22%	5%	67	-1.1	212/267/298	86	274	8	7	24%	6%	61	-1.5	192/254/234	42	250	4	3	23%	6%	38	-1.9

Tim Anderson

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps