Brandon Crawford

PosSS

B/TL/R

Born1987-01-21

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2022	35	MLBSF	458	.231/.311/.344	9	1	87	1.7
2023	36	MLBSF	320	.194/.276/.314	7	3	69	0.6
2024	37	MLBSTL	80	.169/.262/.282	1	0	58	0.1
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 2.4

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

Barrel%48

Avg EV47

Bat Spd42

xwOBA35

Speed10

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)
2009	22	AA	Connecticut Defenders	—	423	392	101	26	2	4	20	100	1	11	7	258	295	365	660	107	334	24	5	289	65	—	—	—	—	—	—
2009	22	A+	San Jose Giants	—	119	105	39	2	2	6	10	32	4	2	4	371	445	600	1.045	229	493	27	8	458	132	—	—	—	—	—	—
2010	23	AA	Richmond Flying Squirrels	—	342	291	70	12	3	7	39	77	6	4	1	241	342	375	717	134	297	23	11	321	80	—	—	—	—	—	—
2010	23	A+	San Jose Giants	—	20	18	3	1	0	0	2	5	0	0	0	167	250	222	472	56	231	25	10	224	2	—	—	—	—	—	—
2011	24	MLB	San Francisco Giants	—	220	196	40	5	2	3	23	31	0	1	3	204	288	296	584	92	228	14	10	269	69	-8	-1	+5	+5	+5	0.6
2011	24	AAA	Fresno Grizzlies	—	118	107	25	5	1	1	9	20	0	5	2	234	293	327	620	93	276	17	8	277	49	—	—	—	—	—	—
2011	24	A+	San Jose Giants	—	69	59	19	5	1	3	9	13	0	0	0	322	412	593	1.005	271	372	19	13	429	124	—	—	—	—	—	—
2011	24	INTL	Scottsdale Scorpions	—	92	87	24	2	2	2	5	21	0	1	1	276	315	414	729	138	344	23	5	323	105	—	—	—	—	—	—
2012	25	MLB	San Francisco Giants	—	476	435	108	26	3	4	33	95	3	1	4	248	306	349	655	101	307	20	7	293	81	-11	-1	+14	+5	+10	1.8
2013	26	MLB	San Francisco Giants	—	550	499	124	24	3	9	42	96	5	1	2	248	313	363	676	114	290	17	8	304	90	-7	-1	+9	+6	+12	2.0
2014	27	MLB	San Francisco Giants	—	564	491	121	20	10	10	59	129	2	5	3	246	330	389	719	143	307	23	10	317	96	-3	-0	+6	+6	+12	2.1
2015	28	MLB	San Francisco Giants	—	561	507	130	33	4	21	39	119	11	6	4	256	323	462	785	205	294	21	7	344	117	+11	-0	+15	+6	+12	4.5
2016	29	MLB	San Francisco Giants	—	623	553	152	28	11	12	57	115	4	7	0	275	347	430	777	156	322	18	9	342	114	+10	+1	+11	+7	+13	4.3
2017	30	MLB	San Francisco Giants	—	570	518	131	34	1	14	42	113	1	3	5	253	310	403	714	151	292	20	7	313	100	-0	-1	+8	+6	+12	2.6
2018	31	MLB	San Francisco Giants	—	594	531	135	28	2	14	50	122	8	4	5	254	328	394	721	139	302	21	8	322	98	-1	-1	+10	+6	+13	2.7
2019	32	MLB	San Francisco Giants	—	560	500	114	24	2	11	53	117	3	3	2	228	306	350	656	122	274	21	9	296	86	-10	-0	+7	+6	+12	1.6
2020	33	MLB	San Francisco Giants	—	193	172	44	12	0	8	15	47	4	1	2	256	330	465	795	209	303	24	8	348	122	+5	-1	+7	+2	+4	1.8
2021	34	MLB	San Francisco Giants	—	549	483	144	30	3	24	56	105	5	11	3	298	377	522	899	224	334	19	10	391	152	+34	+1	+15	+6	+12	6.9
2022	35	MLB	San Francisco Giants	—	458	407	94	15	2	9	39	98	8	1	1	231	311	344	655	113	280	21	9	297	87	-7	-0	+9	+5	+10	1.7
2023	36	MLB	San Francisco Giants	—	320	283	55	11	1	7	28	81	4	3	0	194	276	314	591	120	241	25	9	267	69	-12	+1	+6	+3	+7	0.6
2024	37	MLB	St. Louis Cardinals	—	80	71	12	5	0	1	8	26	1	0	0	169	263	282	544	113	250	32	10	253	58	-4	+0	+3	+1	+2	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6318	5646	1404	295	44	147	544	1294	59	47	34	249	321	395	716	146	295	20	9	318	101	+10	-4	+125	+71	+137	34.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	AA MLE	Connecticut Defenders	—	423	398	99	24	2	3	14	122	1	11	7	249	276	342	618	93	338	29	3	265	65	—	—	—	—	—	—
2009	22	A+ MLE	San Jose Giants	—	119	108	33	2	1	5	7	43	4	2	4	306	370	481	851	176	454	36	6	363	132	—	—	—	—	—	—
2010	23	AA MLE	Richmond Flying Squirrels	—	342	302	68	11	3	7	28	95	6	4	1	225	304	351	655	126	288	28	8	286	80	—	—	—	—	—	—
2010	23	A+ MLE	San Jose Giants	—	20	19	3	1	0	0	1	7	0	0	0	158	200	211	411	53	210	35	5	171	2	—	—	—	—	—	—
2011	24	MLB MLE	San Francisco Giants	—	220	197	40	5	2	3	22	31	0	1	3	203	283	294	578	91	228	14	10	270	69	-8	-1	+5	+5	+5	0.6
2011	24	AAA MLE	Fresno Grizzlies	—	118	110	24	4	1	1	6	25	0	5	2	218	259	300	559	82	264	21	5	240	49	—	—	—	—	—	—
2011	24	A+ MLE	San Jose Giants	—	69	61	17	4	1	3	7	18	0	0	0	279	353	525	878	246	328	26	10	351	124	—	—	—	—	—	—
2012	25	MLB MLE	San Francisco Giants	—	476	441	109	26	3	4	27	95	3	1	4	247	295	347	642	100	307	20	6	288	81	-11	-1	+14	+5	+10	1.8
2013	26	MLB MLE	San Francisco Giants	—	550	505	126	24	3	10	36	96	5	1	2	250	306	368	674	119	290	17	7	301	90	-7	-1	+9	+6	+12	2.0
2014	27	MLB MLE	San Francisco Giants	—	564	501	123	20	10	11	49	129	2	5	3	246	315	391	706	146	307	23	9	309	96	-3	-0	+6	+6	+12	2.1
2015	28	MLB MLE	San Francisco Giants	—	561	516	133	33	4	23	30	119	11	6	4	258	312	471	783	213	294	21	5	341	117	+11	-0	+15	+6	+12	4.5
2016	29	MLB MLE	San Francisco Giants	—	623	563	155	28	11	13	47	115	4	7	0	275	336	433	769	158	322	18	8	336	114	+10	+1	+11	+7	+13	4.3
2017	30	MLB MLE	San Francisco Giants	—	570	521	133	34	1	15	39	113	1	3	5	255	308	411	719	155	292	20	7	316	100	-0	-1	+8	+6	+12	2.6
2018	31	MLB MLE	San Francisco Giants	—	594	544	137	28	2	15	37	122	8	4	5	252	309	393	702	142	302	21	6	313	98	-1	-1	+10	+6	+13	2.7
2019	32	MLB MLE	San Francisco Giants	—	560	505	116	24	2	12	48	117	3	3	2	230	300	356	657	127	274	21	9	295	86	-10	-0	+7	+6	+12	1.6
2020	33	MLB MLE	San Francisco Giants	—	193	174	45	12	0	9	13	47	4	1	2	259	325	483	807	224	303	24	7	349	122	+5	-1	+7	+2	+4	1.8
2021	34	MLB MLE	San Francisco Giants	—	549	489	147	30	3	26	50	105	5	11	3	301	371	534	905	233	334	19	9	393	152	+34	+1	+15	+6	+12	6.9
2022	35	MLB MLE	San Francisco Giants	—	458	410	96	15	2	10	36	98	8	1	1	234	308	354	662	120	280	21	8	297	87	-7	-0	+9	+5	+10	1.7
2023	36	MLB MLE	San Francisco Giants	—	320	284	57	11	1	8	27	81	4	3	0	201	279	331	610	130	241	25	8	270	69	-12	+1	+6	+3	+7	0.6
2024	37	MLB MLE	St. Louis Cardinals	—	80	71	12	5	0	1	8	26	1	0	0	169	263	282	544	113	250	32	10	253	58	-4	+0	+3	+1	+2	0.1
2009	22	AA MLE	2 teams	—	542	505	131	25	3	8	22	165	5	13	11	259	297	368	665	109	368	30	4	287	80	—	—	—	—	—	—
2009	22	AA RAW	2 teams	—	542	497	140	28	4	10	30	132	5	13	11	282	329	414	743	133	364	24	6	326	80	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	362	321	71	12	3	7	29	102	6	4	1	221	298	343	640	121	295	28	8	280	75	—	—	—	—	—	—
2010	23	AA RAW	2 teams	—	362	309	73	13	3	7	41	82	6	4	1	236	337	366	703	129	293	23	11	316	75	—	—	—	—	—	—
2011	24	MLB MLE	4 teams	—	499	453	98	16	4	8	42	91	0	7	6	216	283	322	605	106	254	18	8	275	72	-17	-1	+5	+5	+11	0.4
2011	24	MLB RAW	4 teams	—	499	449	108	17	6	9	46	85	0	7	6	241	311	365	676	125	278	17	9	303	72	-17	-1	+5	+5	+11	0.4
2012	25	MLB MLE	San Francisco Giants	—	476	441	109	26	3	4	27	95	3	1	4	247	295	347	642	100	304	20	6	288	81	-11	-1	+14	+5	+10	1.8
2012	25	MLB RAW	San Francisco Giants	—	476	435	108	26	3	4	33	95	3	1	4	248	306	349	655	101	307	20	7	293	81	-11	-1	+14	+5	+10	1.8
2013	26	MLB MLE	San Francisco Giants	—	550	505	126	24	3	10	36	96	5	1	2	250	306	368	674	119	289	17	7	301	90	-7	-1	+9	+6	+12	2.0
2013	26	MLB RAW	San Francisco Giants	—	550	499	124	24	3	9	42	96	5	1	2	248	313	363	676	114	290	17	8	304	90	-7	-1	+9	+6	+12	2.0
2014	27	MLB MLE	San Francisco Giants	—	564	501	123	20	10	11	49	129	2	5	3	246	315	391	706	146	302	23	9	309	96	-3	-0	+6	+6	+12	2.1
2014	27	MLB RAW	San Francisco Giants	—	564	491	121	20	10	10	59	129	2	5	3	246	330	389	719	143	307	23	10	317	96	-3	-0	+6	+6	+12	2.1
2015	28	MLB MLE	San Francisco Giants	—	561	516	133	33	4	23	30	119	11	6	4	258	312	471	783	213	291	21	5	341	117	+11	-0	+15	+6	+12	4.5
2015	28	MLB RAW	San Francisco Giants	—	561	507	130	33	4	21	39	119	11	6	4	256	323	462	785	205	294	21	7	344	117	+11	-0	+15	+6	+12	4.5
2016	29	MLB MLE	San Francisco Giants	—	623	563	155	28	11	13	47	115	4	7	0	275	336	433	769	158	320	18	8	336	114	+10	+1	+11	+7	+13	4.3
2016	29	MLB RAW	San Francisco Giants	—	623	553	152	28	11	12	57	115	4	7	0	275	347	430	777	156	322	18	9	342	114	+10	+1	+11	+7	+13	4.3
2017	30	MLB MLE	San Francisco Giants	—	570	521	133	34	1	15	39	113	1	3	5	255	308	411	719	155	294	20	7	316	100	-0	-1	+8	+6	+12	2.6
2017	30	MLB RAW	San Francisco Giants	—	570	518	131	34	1	14	42	113	1	3	5	253	310	403	714	151	292	20	7	313	100	-0	-1	+8	+6	+12	2.6
2018	31	MLB MLE	San Francisco Giants	—	594	544	137	28	2	15	37	122	8	4	5	252	309	393	702	142	296	21	6	313	98	-1	-1	+10	+6	+13	2.7
2018	31	MLB RAW	San Francisco Giants	—	594	531	135	28	2	14	50	122	8	4	5	254	328	394	721	139	302	21	8	322	98	-1	-1	+10	+6	+13	2.7
2019	32	MLB MLE	San Francisco Giants	—	560	505	116	24	2	12	48	117	3	3	2	230	300	356	657	127	274	21	9	295	86	-10	-0	+7	+6	+12	1.6
2019	32	MLB RAW	San Francisco Giants	—	560	500	114	24	2	11	53	117	3	3	2	228	306	350	656	122	274	21	9	296	86	-10	-0	+7	+6	+12	1.6
2020	33	MLB MLE	San Francisco Giants	—	193	174	45	12	0	9	13	47	4	1	2	259	325	483	807	224	300	24	7	349	122	+5	-1	+7	+2	+4	1.8
2020	33	MLB RAW	San Francisco Giants	—	193	172	44	12	0	8	15	47	4	1	2	256	330	465	795	209	303	24	8	348	122	+5	-1	+7	+2	+4	1.8
2021	34	MLB MLE	San Francisco Giants	—	549	489	147	30	3	26	50	105	5	11	3	301	371	534	905	233	333	19	9	393	152	+34	+1	+15	+6	+12	6.9
2021	34	MLB RAW	San Francisco Giants	—	549	483	144	30	3	24	56	105	5	11	3	298	377	522	899	224	334	19	10	391	152	+34	+1	+15	+6	+12	6.9
2022	35	MLB MLE	San Francisco Giants	—	458	410	96	15	2	10	36	98	8	1	1	234	308	354	662	120	281	21	8	297	87	-7	-0	+9	+5	+10	1.7
2022	35	MLB RAW	San Francisco Giants	—	458	407	94	15	2	9	39	98	8	1	1	231	311	344	655	113	280	21	9	297	87	-7	-0	+9	+5	+10	1.7
2023	36	MLB MLE	San Francisco Giants	—	320	284	57	11	1	8	27	81	4	3	0	201	279	331	610	130	246	25	8	270	69	-12	+1	+6	+3	+7	0.6
2023	36	MLB RAW	San Francisco Giants	—	320	283	55	11	1	7	28	81	4	3	0	194	276	314	591	120	241	25	9	267	69	-12	+1	+6	+3	+7	0.6
2024	37	MLB MLE	St. Louis Cardinals	—	80	71	12	5	0	1	8	26	1	0	0	169	263	282	544	113	250	32	10	253	58	-4	+0	+3	+1	+2	0.1
2024	37	MLB RAW	St. Louis Cardinals	—	80	71	12	5	0	1	8	26	1	0	0	169	263	282	544	113	250	32	10	253	58	-4	+0	+3	+1	+2	0.1
2009	22	AA MLE	2 teams	—	542	510	131	25	3	8	22	165	5	13	11	257	297	365	662	108	363	30	4	287	80	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	362	324	71	12	3	7	29	102	6	4	1	219	298	340	637	120	284	28	8	280	75	—	—	—	—	—	—
2011	24	MLB MLE	4 teams	—	499	454	98	16	4	8	42	91	0	7	6	216	283	322	604	106	256	18	8	275	72	—	—	—	—	—	—
2012	25	MLB MLE	San Francisco Giants	—	476	443	109	26	3	4	27	95	3	1	4	246	295	345	640	99	307	20	6	288	81	—	—	—	—	—	—
2013	26	MLB MLE	San Francisco Giants	—	550	504	126	24	3	10	36	96	5	1	2	250	306	369	675	119	290	17	7	301	90	—	—	—	—	—	—
2014	27	MLB MLE	San Francisco Giants	—	564	508	123	20	10	11	49	129	2	5	3	242	315	386	701	144	307	23	9	309	96	—	—	—	—	—	—
2015	28	MLB MLE	San Francisco Giants	—	561	515	133	33	4	23	30	119	11	6	4	258	312	472	784	214	294	21	5	341	117	—	—	—	—	—	—
2016	29	MLB MLE	San Francisco Giants	—	623	567	155	28	11	13	47	115	4	7	0	273	336	430	766	157	322	18	8	336	114	—	—	—	—	—	—
2017	30	MLB MLE	San Francisco Giants	—	570	525	133	34	1	15	39	113	1	3	5	253	308	408	716	154	292	20	7	316	100	—	—	—	—	—	—
2018	31	MLB MLE	San Francisco Giants	—	594	544	137	28	2	15	37	122	8	4	5	252	309	393	702	142	302	21	6	313	98	—	—	—	—	—	—
2019	32	MLB MLE	San Francisco Giants	—	560	504	116	24	2	12	48	117	3	3	2	230	300	357	658	127	274	21	9	295	86	—	—	—	—	—	—
2020	33	MLB MLE	San Francisco Giants	—	193	174	45	12	0	9	13	47	4	1	2	259	325	483	807	224	303	24	7	349	122	—	—	—	—	—	—
2021	34	MLB MLE	San Francisco Giants	—	549	489	147	30	3	26	50	105	5	11	3	301	371	534	905	233	334	19	9	393	152	—	—	—	—	—	—
2022	35	MLB MLE	San Francisco Giants	—	458	411	96	15	2	10	36	98	8	1	1	234	308	353	661	119	280	21	8	297	87	—	—	—	—	—	—
2023	36	MLB MLE	San Francisco Giants	—	320	286	57	11	1	8	27	81	4	3	0	199	279	329	608	129	241	25	8	270	69	—	—	—	—	—	—
2024	37	MLB MLE	St. Louis Cardinals	—	80	71	12	5	0	1	8	26	1	0	0	169	263	282	544	113	250	32	10	253	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	37	MLB MLE	St. Louis Cardinals	—	80	71	12	5	0	1	8	26	1	0	0	169	263	282	544	113	250	32	10	253	58	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6318	5646	1404	295	44	147	544	1294	59	47	34	249	321	395	716	146	295	20	9	318	96	+10	-4	+125	+71	+137	34.6
/ 162G	—	A+C		—	650	581	144	30	5	15	56	133	6	5	3	248	320	394	715	146	294	20	9	318	96	+1	-0	+13	+7	+14	3.6
Career	—	MLE		—	7501	6803	1689	343	52	180	540	1621	70	70	49	248	310	393	703	145	298	22	7	310	96	+10	-4	+125	+71	+137	34.6
/ 162G	—	MLE		—	650	590	148	30	5	16	47	140	6	6	4	251	313	400	713	149	300	22	7	310	96	+1	-0	+13	+7	+14	3.6

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.

2011 AAAFresno Grizzlies · 118 PAwOBA .269 → .240 (−29)K% 16.9% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.95%	÷1.027	×1.290	—	—	21.30%
BB% (unintentional) /PA	6.78%	÷1.043	×0.710	—	×1.048	4.84%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	20.69%	÷0.960	×0.900	×1.020	×1.048	20.72%
Doubles /BIP	5.75%	÷1.013	×0.810	×1.020	×1.048	4.91%
Triples /BIP	1.15%	÷1.150	×0.810	×1.020	×1.048	0.87%
Home runs /BIP	1.15%	÷1.112	×0.780	—	×1.048	0.85%

Factors used: league row PCL. Park (home-season share, regressed): HR 122, 1B 92, 2B 103, 3B 130, K 105, BB 109 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .269 → .240; ISO .093 → .075; BABIP .276 → .264. 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).

2011 A+San Jose Giants · 69 PAwOBA .418 → .351 (−66)K% 18.8% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.84%	÷0.981	×1.340	—	—	25.74%
BB% (unintentional) /PA	13.04%	÷0.926	×0.710	—	×0.988	9.88%
HBP% /PA	0.00%	—	×0.790	—	×0.988	0.00%
Singles /BIP	21.74%	÷0.991	×0.910	—	×0.988	19.72%
Doubles /BIP	10.87%	÷0.951	×0.820	—	×0.988	9.26%
Triples /BIP	2.17%	÷0.900	×0.760	—	×0.988	1.81%
Home runs /BIP	6.52%	÷0.972	×0.920	—	×0.988	6.10%

Factors used: league row CAL. Park (home-season share, regressed): HR 94, 1B 98, 2B 90, 3B 80, K 96, BB 85 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .418 → .351; ISO .271 → .235; BABIP .372 → .328. 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).

2010 AARichmond Flying Squirrels · 342 PAwOBA .318 → .286 (−32)K% 22.5% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.51%	÷0.983	×1.220	—	—	27.95%
BB% (unintentional) /PA	11.40%	÷1.018	×0.700	—	×1.027	8.05%
HBP% /PA	1.75%	—	×0.850	—	×1.027	1.53%
Singles /BIP	22.43%	÷1.035	×0.970	×1.022	×1.027	22.07%
Doubles /BIP	5.61%	÷0.992	×0.860	×1.022	×1.027	5.10%
Triples /BIP	1.40%	÷1.008	×0.950	×1.022	×1.027	1.39%
Home runs /BIP	3.27%	÷0.813	×0.780	—	×1.027	3.22%

Factors used: league row EL. Park (home-season share, regressed): HR 63, 1B 107, 2B 98, 3B 102, K 97, BB 104 — 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 ×1.022.

Result: wOBA .318 → .286; ISO .134 → .129; BABIP .297 → .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).

2010 A+San Jose Giants · 20 PAwOBA .219 → .171 (−48)K% 25.0% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.972	×1.340	—	—	34.45%
BB% (unintentional) /PA	10.00%	÷0.990	×0.710	—	×0.998	7.16%
HBP% /PA	0.00%	—	×0.790	—	×0.998	0.00%
Singles /BIP	15.38%	÷0.980	×0.910	—	×0.998	14.26%
Doubles /BIP	7.69%	÷0.939	×0.820	—	×0.998	6.70%
Triples /BIP	0.00%	÷1.085	×0.760	—	×0.998	0.00%
Home runs /BIP	0.00%	÷1.016	×0.920	—	×0.998	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 103, 1B 96, 2B 88, 3B 117, K 94, BB 98 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .219 → .171; ISO .056 → .044; BABIP .231 → .210. 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).

2009 AAConnecticut Defenders · 423 PAwOBA .282 → .265 (−17)K% 23.6% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.64%	÷1.000	×1.220	—	—	28.84%
BB% (unintentional) /PA	4.73%	÷1.000	×0.700	—	×1.042	3.45%
HBP% /PA	0.24%	—	×0.850	—	×1.042	0.21%
Singles /BIP	23.63%	÷1.000	×0.970	×1.034	×1.042	24.68%
Doubles /BIP	8.90%	÷1.000	×0.860	×1.034	×1.042	8.25%
Triples /BIP	0.68%	÷1.000	×0.950	×1.034	×1.042	0.70%
Home runs /BIP	1.37%	÷1.000	×0.780	—	×1.042	1.11%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.034.

Result: wOBA .282 → .265; ISO .107 → .095; BABIP .334 → .338. 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).

2009 A+San Jose Giants · 119 PAwOBA .445 → .363 (−82)K% 26.9% → 36.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.89%	÷1.000	×1.340	—	—	36.03%
BB% (unintentional) /PA	8.40%	÷1.000	×0.710	—	×1.012	6.04%
HBP% /PA	3.36%	—	×0.790	—	×1.012	2.69%
Singles /BIP	39.73%	÷1.000	×0.910	×1.025	×1.012	37.48%
Doubles /BIP	2.74%	÷1.000	×0.820	×1.025	×1.012	2.33%
Triples /BIP	2.74%	÷1.000	×0.760	×1.025	×1.012	2.16%
Home runs /BIP	8.22%	÷1.000	×0.920	—	×1.012	7.65%

Factors used: league row CAL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.025.

Result: wOBA .445 → .363; ISO .229 → .185; BABIP .493 → .454. 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 — .