Kelby Tomlinson

Pos2B

B/TR/R

Born1990-06-16

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	28	AAASF	204	.304/.367/.315	0	7	75	—	.289/.332/.299
2018	28	MLBSF	152	.207/.265/.264	0	0	52	-0.3
2019	29	AAA/INTL2 orgs	399	.249/.308/.307	0	6	32	—	.188/.231/.229
2021	31	AAACOL	21	.167/.286/.222	0	0	14	—	.158/.238/.211
2022	32	No MLB games played
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed63

xwOBA20

Barrel%10

Avg EV10

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)
2011	21	ROK	AZL Giants	—	156	140	50	10	5	2	14	22	1	11	2	357	419	543	962	186	410	14	9	420	86	—	—	—	—	—	—
2012	22	A	Augusta GreenJackets	—	520	450	101	9	4	1	53	105	5	36	11	224	313	269	582	44	286	20	10	268	47	—	—	—	—	—	—
2013	23	AA	Richmond Flying Squirrels	—	116	96	19	5	0	0	16	27	0	3	1	198	312	250	562	52	275	23	14	261	40	—	—	—	—	—	—
2013	23	A+	San Jose Giants	—	148	134	37	7	0	0	12	32	1	5	1	276	340	328	668	52	359	22	8	306	54	—	—	—	—	—	—
2013	23	ROK	AZL Giants	—	31	28	8	1	1	1	3	7	0	1	1	286	355	500	855	214	350	23	10	374	51	—	—	—	—	—	—
2014	24	AA	Richmond Flying Squirrels	—	494	433	116	9	6	1	44	82	5	49	12	268	342	323	666	55	325	17	9	300	76	—	—	—	—	—	—
2014	24	INTL	Scottsdale Scorpions	—	70	63	7	1	1	0	7	10	0	8	1	111	200	159	359	48	132	14	10	176	5	—	—	—	—	—	—
2015	25	MLB	San Francisco Giants	—	193	178	54	6	3	2	14	40	1	5	4	303	358	404	762	101	382	21	7	343	121	+5	-1	+0	+2	+4	1.1
2015	25	AAA	Sacramento River Cats	—	149	136	43	1	1	2	7	22	2	5	3	316	359	382	741	66	360	15	5	327	88	—	—	—	—	—	—
2015	25	AA	Richmond Flying Squirrels	—	289	253	82	18	3	1	25	37	3	16	6	324	391	431	822	107	372	13	9	360	109	—	—	—	—	—	—
2016	26	MLB	San Francisco Giants	—	120	106	31	4	0	0	12	18	1	5	1	292	370	330	700	38	352	15	10	322	102	+0	+1	+3	+1	+3	0.8
2016	26	AAA	Sacramento River Cats	—	213	185	53	8	1	0	22	26	3	12	3	286	370	341	710	54	331	12	10	325	80	—	—	—	—	—	—
2017	27	MLB	San Francisco Giants	—	222	194	50	4	2	1	23	46	0	9	1	258	336	314	651	57	327	21	10	295	84	-4	+1	+2	+1	+5	0.5
2017	27	AAA	Sacramento River Cats	—	122	108	32	6	0	0	13	12	1	9	2	296	377	352	729	56	333	10	11	336	77	—	—	—	—	—	—
2018	28	MLB	San Francisco Giants	—	152	140	29	4	2	0	9	35	2	0	2	207	265	264	529	57	276	23	6	243	52	-9	-1	+2	+1	+3	-0.3
2018	28	AAA	Sacramento River Cats	—	204	181	55	2	0	0	18	44	0	7	4	304	367	315	682	11	399	22	9	309	75	—	—	—	—	—	—
2019	29	AAA	Tacoma Rainiers	—	369	335	81	16	2	0	27	79	2	4	3	242	302	301	604	60	314	21	7	274	26	—	—	—	—	—	—
2019	29	INTL	Estrellas Orientales	—	30	27	9	1	0	0	2	5	0	2	0	333	379	370	750	37	409	17	7	331	110	—	—	—	—	—	—
2021	31	AAA	Albuquerque Isotopes	—	21	18	3	1	0	0	2	3	1	0	0	167	286	222	508	56	200	14	10	249	14	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	687	618	164	18	7	3	58	139	4	19	8	265	332	332	664	66	336	20	8	302	90	-8	+1	+8	+6	+15	2.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	21	ROK MLE	AZL Giants	—	156	145	37	7	3	1	9	32	1	11	2	255	303	366	669	110	313	21	6	296	86	—	—	—	—	—	—
2012	22	A MLE	Augusta GreenJackets	—	520	466	98	8	4	1	37	130	5	36	11	210	276	251	527	41	275	25	7	237	47	—	—	—	—	—	—
2013	23	AA MLE	Richmond Flying Squirrels	—	116	101	20	5	0	0	11	34	0	3	1	198	277	248	524	50	274	29	9	228	40	—	—	—	—	—	—
2013	23	A+ MLE	San Jose Giants	—	148	138	32	6	0	0	8	43	1	5	1	232	279	275	554	43	330	29	5	248	54	—	—	—	—	—	—
2013	23	ROK MLE	AZL Giants	—	31	29	7	1	1	1	2	10	0	1	1	241	290	448	739	207	264	32	6	244	51	—	—	—	—	—	—
2014	24	AA MLE	Richmond Flying Squirrels	—	494	449	121	9	6	1	28	99	5	49	12	269	320	323	642	53	327	20	6	280	76	—	—	—	—	—	—
2015	25	MLB MLE	San Francisco Giants	—	193	178	55	6	3	2	14	40	1	5	4	309	363	410	773	101	382	21	7	348	121	+5	-1	+0	+2	+4	1.1
2015	25	AAA MLE	Sacramento River Cats	—	149	138	41	1	1	2	5	27	2	5	3	297	331	362	693	65	342	18	3	299	88	—	—	—	—	—	—
2015	25	AA MLE	Richmond Flying Squirrels	—	289	260	81	16	3	1	18	45	3	16	6	312	363	408	771	96	354	16	6	329	109	—	—	—	—	—	—
2016	26	MLB MLE	San Francisco Giants	—	120	107	31	4	0	0	11	18	1	5	1	290	361	327	688	37	352	15	9	319	102	+0	+1	+3	+1	+3	0.8
2016	26	AAA MLE	Sacramento River Cats	—	213	193	51	7	1	0	15	32	3	12	3	264	327	311	638	47	312	15	7	286	80	—	—	—	—	—	—
2017	27	MLB MLE	San Francisco Giants	—	222	196	51	4	2	1	21	46	0	9	1	260	332	316	648	56	327	21	9	292	84	-4	+1	+2	+1	+5	0.5
2017	27	AAA MLE	Sacramento River Cats	—	122	111	28	5	0	0	10	16	1	9	2	252	320	297	617	45	298	13	8	282	77	—	—	—	—	—	—
2018	28	MLB MLE	San Francisco Giants	—	152	140	29	4	2	0	9	35	2	0	2	207	265	264	529	57	276	23	6	245	52	-9	-1	+2	+1	+3	-0.3
2018	28	AAA MLE	Sacramento River Cats	—	204	187	54	2	0	0	12	53	0	7	4	289	332	299	631	11	387	26	6	279	75	—	—	—	—	—	—
2019	29	AAA MLE	Tacoma Rainiers	—	369	345	65	12	1	0	17	103	2	4	3	188	231	229	460	41	260	28	5	206	26	—	—	—	—	—	—
2021	31	AAA MLE	Albuquerque Isotopes	—	21	19	3	1	0	0	1	4	1	0	0	158	238	211	449	53	161	19	5	189	14	—	—	—	—	—	—
2011	21	ROK MLE	AZL Giants	—	156	145	37	7	3	1	9	32	1	11	2	255	303	366	669	110	319	21	6	296	86	—	—	—	—	—	—
2011	21	ROK RAW	AZL Giants	—	156	140	50	10	5	2	14	22	1	11	2	357	419	543	962	186	410	14	9	420	86	—	—	—	—	—	—
2012	22	A MLE	Augusta GreenJackets	—	520	466	98	8	4	1	37	130	5	36	11	210	276	251	527	41	284	25	7	237	47	—	—	—	—	—	—
2012	22	A RAW	Augusta GreenJackets	—	520	450	101	9	4	1	53	105	5	36	11	224	313	269	582	44	286	20	10	268	47	—	—	—	—	—	—
2013	23	A+ MLE	3 teams	—	295	268	57	11	1	1	21	87	1	9	3	213	272	272	545	60	309	29	7	240	48	—	—	—	—	—	—
2013	23	A+ RAW	3 teams	—	295	258	64	13	1	1	31	66	1	9	3	248	331	318	649	70	328	22	11	295	48	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	564	515	138	10	7	1	32	113	5	57	13	268	317	320	637	52	338	20	6	280	76	—	—	—	—	—	—
2014	24	AA RAW	2 teams	—	564	496	123	10	7	1	51	92	5	57	13	248	324	302	627	54	300	16	9	285	76	—	—	—	—	—	—
2015	25	AA MLE	3 teams	—	631	576	177	23	7	5	37	112	6	26	13	307	355	398	753	90	371	18	6	328	108	—	—	—	—	—	—
2015	25	AA RAW	3 teams	—	631	567	179	25	7	5	46	99	6	26	13	316	373	411	784	95	372	16	7	347	108	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	333	300	82	11	1	0	26	50	4	17	4	273	339	317	656	43	327	15	8	298	88	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	333	291	84	12	1	0	34	44	4	17	4	289	370	337	706	48	339	13	10	324	88	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	344	307	79	9	2	1	31	62	1	18	3	257	327	309	637	52	316	18	9	288	81	-8	+2	+2	+1	+7	0.5
2017	27	MLB RAW	2 teams	—	344	302	82	10	2	1	36	58	1	18	3	272	351	328	679	56	329	17	10	309	81	-8	+2	+2	+1	+7	0.5
2018	28	AAA MLE	2 teams	—	356	327	84	6	2	0	21	88	2	7	6	257	306	287	593	31	350	25	6	265	65	—	—	—	—	—	—
2018	28	AAA RAW	2 teams	—	356	321	84	6	2	0	27	79	2	7	6	262	323	293	616	31	346	22	8	281	65	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	399	373	70	13	1	0	18	111	2	6	3	188	229	228	457	40	265	28	5	206	26	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	399	362	90	17	2	0	29	84	2	6	3	249	308	307	615	58	321	21	7	278	26	—	—	—	—	—	—
2021	31	AAA MLE	Albuquerque Isotopes	—	21	19	3	1	0	0	1	4	1	0	0	158	238	211	449	53	200	19	5	189	14	—	—	—	—	—	—
2021	31	AAA RAW	Albuquerque Isotopes	—	21	18	3	1	0	0	2	3	1	0	0	167	286	222	508	56	200	14	10	249	14	—	—	—	—	—	—
2011	21	ROK MLE	AZL Giants	—	156	145	37	7	3	1	9	32	1	11	2	255	303	366	669	110	313	21	6	296	86	—	—	—	—	—	—
2012	22	A MLE	Augusta GreenJackets	—	520	473	98	8	4	1	37	130	5	36	11	207	276	247	523	40	275	25	7	237	47	—	—	—	—	—	—
2013	23	A+ MLE	3 teams	—	295	271	57	11	1	1	21	87	1	9	3	210	272	269	542	59	301	29	7	240	48	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	564	522	138	10	7	1	32	113	5	57	13	264	317	316	633	52	327	20	6	280	76	—	—	—	—	—	—
2015	25	AA MLE	3 teams	—	631	583	177	23	7	5	37	112	6	26	13	304	355	393	748	89	360	18	6	328	108	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	333	300	82	11	1	0	26	50	4	17	4	273	339	317	656	43	327	15	8	298	88	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	344	309	79	9	2	1	31	62	1	18	3	256	327	307	635	52	317	18	9	288	81	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	356	330	84	6	2	0	21	88	2	7	6	255	306	285	591	30	340	25	6	265	65	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	399	376	70	13	1	0	18	111	2	6	3	186	229	226	455	40	260	28	5	206	26	—	—	—	—	—	—
2021	31	AAA MLE	Albuquerque Isotopes	—	21	19	3	1	0	0	1	4	1	0	0	158	238	211	449	53	161	19	5	189	14	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	687	618	164	18	7	3	58	139	4	19	8	265	332	332	664	66	336	20	8	302	70	-8	+1	+8	+6	+15	2.2
/ 162G	—	A+C		—	650	585	156	17	7	3	55	132	4	18	8	267	334	335	669	68	338	20	8	302	70	-8	+1	+7	+6	+14	2.0
Career	—	MLE		—	3619	3296	825	99	28	10	233	789	28	187	58	250	305	306	612	56	323	22	6	272	70	-8	+1	+8	+6	+15	2.2
/ 162G	—	MLE		—	650	592	149	18	5	2	42	142	5	34	10	252	307	309	616	57	325	22	6	272	70	-8	+1	+7	+6	+14	2.0

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.

2021 AAAAlbuquerque Isotopes · 21 PAwOBA .243 → .189 (−54)K% 14.3% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.958	×1.200	—	—	17.90%
BB% (unintentional) /PA	9.52%	÷1.032	×0.690	—	×0.962	6.13%
HBP% /PA	4.76%	—	×0.940	—	×0.962	4.31%
Singles /BIP	13.33%	÷1.110	×0.930	—	×0.962	10.75%
Doubles /BIP	6.67%	÷0.988	×0.830	—	×0.962	5.38%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.962	0.00%
Home runs /BIP	0.00%	÷1.172	×0.700	—	×0.962	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 122, 2B 98, 3B 130, K 92, BB 106 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .243 → .189; ISO .056 → .045; BABIP .200 → .161. 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 AAATacoma Rainiers · 369 PAwOBA .266 → .206 (−60)K% 21.4% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.41%	÷0.990	×1.290	—	—	27.89%
BB% (unintentional) /PA	6.78%	÷1.039	×0.710	—	×0.982	4.54%
HBP% /PA	0.54%	—	×0.980	—	×0.982	0.52%
Singles /BIP	24.61%	÷0.985	×0.900	×0.950	×0.982	20.97%
Doubles /BIP	6.25%	÷0.998	×0.810	×0.950	×0.982	4.73%
Triples /BIP	0.78%	÷1.073	×0.810	×0.950	×0.982	0.55%
Home runs /BIP	0.00%	÷1.049	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 97, 2B 100, 3B 115, K 98, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .266 → .206; ISO .060 → .043; BABIP .314 → .260. 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).

2018 AAASacramento River Cats · 204 PAwOBA .303 → .279 (−24)K% 21.6% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.57%	÷1.071	×1.290	—	—	25.97%
BB% (unintentional) /PA	8.82%	÷1.043	×0.710	—	×0.992	5.96%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	38.69%	÷0.963	×0.900	×1.050	×0.992	37.65%
Doubles /BIP	1.46%	÷0.910	×0.810	×1.050	×0.992	1.35%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×0.992	0.00%
Home runs /BIP	0.00%	÷0.998	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .303 → .279; ISO .011 → .010; BABIP .399 → .387. 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).

2017 AAASacramento River Cats · 122 PAwOBA .328 → .282 (−47)K% 9.8% → 12.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.84%	÷0.989	×1.290	—	—	12.83%
BB% (unintentional) /PA	10.66%	÷0.952	×0.710	—	×1.003	7.97%
HBP% /PA	0.82%	—	×0.980	—	×1.003	0.81%
Singles /BIP	27.08%	÷1.027	×0.900	×1.027	×1.003	24.44%
Doubles /BIP	6.25%	÷0.975	×0.810	×1.027	×1.003	5.35%
Triples /BIP	0.00%	÷0.920	×0.810	×1.027	×1.003	0.00%
Home runs /BIP	0.00%	÷0.889	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .328 → .282; ISO .056 → .047; BABIP .333 → .298. 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 AAASacramento River Cats · 213 PAwOBA .319 → .286 (−33)K% 12.2% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.21%	÷1.034	×1.290	—	—	15.23%
BB% (unintentional) /PA	10.33%	÷1.052	×0.710	—	×1.018	7.09%
HBP% /PA	1.41%	—	×0.980	—	×1.018	1.41%
Singles /BIP	27.67%	÷0.960	×0.900	×1.003	×1.018	26.50%
Doubles /BIP	5.03%	÷0.973	×0.810	×1.003	×1.018	4.28%
Triples /BIP	0.63%	÷0.900	×0.810	×1.003	×1.018	0.58%
Home runs /BIP	0.00%	÷1.082	×0.780	—	×1.018	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .319 → .286; ISO .054 → .048; BABIP .331 → .312. 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 AARichmond Flying Squirrels · 289 PAwOBA .354 → .329 (−25)K% 12.8% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.80%	÷1.003	×1.220	—	—	15.58%
BB% (unintentional) /PA	8.65%	÷0.992	×0.700	—	×0.998	6.09%
HBP% /PA	1.04%	—	×0.850	—	×0.998	0.88%
Singles /BIP	27.78%	÷1.013	×0.970	×1.020	×0.998	27.08%
Doubles /BIP	8.33%	÷0.998	×0.860	×1.020	×0.998	7.31%
Triples /BIP	1.39%	÷1.025	×0.950	×1.020	×0.998	1.31%
Home runs /BIP	0.46%	÷0.860	×0.780	—	×0.998	0.42%

Factors used: league row EL. Park (home-season share, regressed): HR 72, 1B 103, 2B 100, 3B 105, K 101, BB 98 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .354 → .329; ISO .107 → .099; BABIP .372 → .354. 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 AAASacramento River Cats · 149 PAwOBA .323 → .299 (−24)K% 14.8% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.77%	÷1.047	×1.290	—	—	18.19%
BB% (unintentional) /PA	4.70%	÷0.960	×0.710	—	×1.033	3.59%
HBP% /PA	1.34%	—	×0.980	—	×1.033	1.36%
Singles /BIP	34.21%	÷1.003	×0.900	×1.031	×1.033	32.70%
Doubles /BIP	0.88%	÷1.024	×0.810	×1.031	×1.033	0.74%
Triples /BIP	0.88%	÷0.925	×0.810	×1.031	×1.033	0.82%
Home runs /BIP	1.75%	÷0.982	×0.780	—	×1.033	1.44%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .323 → .299; ISO .066 → .056; BABIP .360 → .342. 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 AARichmond Flying Squirrels · 494 PAwOBA .294 → .280 (−14)K% 16.6% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.60%	÷1.012	×1.220	—	—	20.00%
BB% (unintentional) /PA	8.70%	÷1.075	×0.700	—	×1.012	5.74%
HBP% /PA	1.01%	—	×0.850	—	×1.012	0.87%
Singles /BIP	28.49%	÷1.014	×0.970	×1.050	×1.012	28.97%
Doubles /BIP	2.56%	÷0.983	×0.860	×1.050	×1.012	2.38%
Triples /BIP	1.71%	÷1.061	×0.950	×1.050	×1.012	1.63%
Home runs /BIP	0.28%	÷0.918	×0.780	—	×1.012	0.25%

Factors used: league row EL. Park (home-season share, regressed): HR 84, 1B 103, 2B 97, 3B 112, K 102, BB 115 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .294 → .280; ISO .055 → .053; BABIP .325 → .327. 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 — .