Nick Noonan

Pos2B

B/TL/R

Born1989-05-04

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	27	AAASD	374	.301/.342/.427	5	0	70	—	.253/.284/.345
2016	27	MLBSD	20	.167/.211/.167	0	0	2	0.1
2017	28	AAAColorado Spri…	292	.261/.315/.362	3	5	40	—	.201/.242/.263
2018	29	AAA/AATEX	307	.262/.306/.374	4	2	51	—	.220/.254/.310
2019	30	No MLB games played
2020	31	No MLB games played
2021	32	No MLB games played
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR 0.1

Contract

No contract data on file.

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)
2007	18	ROK	AZL Giants	—	224	206	65	11	4	3	12	20	2	18	3	316	359	451	811	136	337	9	5	354	71	—	—	—	—	—	—
2008	19	A	Augusta GreenJackets	—	532	499	139	27	7	9	23	98	5	29	4	279	317	415	732	136	329	18	4	322	68	—	—	—	—	—	—
2009	20	A+	San Jose Giants	—	530	459	119	26	8	7	48	97	5	9	5	259	336	397	732	137	308	18	9	318	69	—	—	—	—	—	—
2010	21	AA	Richmond Flying Squirrels	—	406	372	88	12	2	3	22	74	2	7	3	237	283	304	587	67	284	18	5	261	48	—	—	—	—	—	—
2011	22	AAA	Fresno Grizzlies	—	41	37	11	0	0	1	4	2	0	1	0	297	366	378	744	81	294	5	10	340	89	—	—	—	—	—	—
2011	22	AA	Richmond Flying Squirrels	—	299	260	55	11	0	3	33	60	2	2	2	212	305	288	594	77	261	20	11	274	38	—	—	—	—	—	—
2011	22	A+	San Jose Giants	—	135	122	30	6	1	1	12	18	0	1	2	246	313	336	649	90	279	13	9	294	53	—	—	—	—	—	—
2012	23	AAA	Fresno Grizzlies	—	541	490	145	26	3	9	40	84	1	7	3	296	350	416	767	120	338	16	7	337	80	—	—	—	—	—	—
2013	24	MLB	San Francisco Giants	—	111	105	23	2	0	0	6	24	0	0	0	219	261	238	499	19	284	22	5	232	32	-9	+0	+2	+1	+2	-0.3
2013	24	AAA	Fresno Grizzlies	—	188	165	42	13	1	0	17	44	1	1	2	255	328	345	673	91	339	23	9	299	55	—	—	—	—	—	—
2014	25	AAA	Fresno Grizzlies	—	406	379	89	16	0	3	20	97	4	6	5	235	280	301	581	66	307	24	5	264	26	—	—	—	—	—	—
2014	25	A+	San Jose Giants	—	20	19	3	1	0	1	1	4	0	0	0	158	200	368	568	211	143	20	5	248	22	—	—	—	—	—	—
2015	26	MLB	San Francisco Giants	—	24	22	2	1	0	1	2	8	0	0	0	91	167	273	439	182	77	33	8	198	25	-2	+0	-1	+4	+1	0.2
2015	26	AAA	Sacramento River Cats	—	339	308	81	14	0	3	22	83	1	2	1	263	314	338	652	75	344	24	6	290	47	—	—	—	—	—	—
2016	27	MLB	San Diego Padres	—	20	18	3	0	0	0	1	5	0	0	1	167	211	167	377		214	25	5	171	2	-2	-0	-1	+4	+0	0.1
2016	27	AAA	El Paso Chihuahuas	—	374	342	103	28	0	5	21	70	0	0	1	301	342	427	768	126	362	19	6	333	70	—	—	—	—	—	—
2017	28	AAA	Colorado Springs Sky Sox	—	292	268	70	14	2	3	20	55	1	5	1	261	315	362	677	101	316	19	7	302	40	—	—	—	—	—	—
2018	29	AAA	Round Rock Express	—	288	270	69	11	3	4	13	70	3	2	1	256	297	363	660	107	332	24	5	294	45	—	—	—	—	—	—
2018	29	AA	Frisco RoughRiders	—	19	16	6	3	0	0	2	1	0	0	0	375	444	562	1.007	188	375	5	11	419	141	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	155	145	28	3	0	1	9	37	0	0	1	193	240	234	475	41	250	24	6	219	34	-12	-0	+0	+9	+3	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	18	ROK MLE	AZL Giants	—	224	210	53	8	3	2	8	29	2	18	3	252	286	348	634	95	275	13	4	273	71	—	—	—	—	—	—
2008	19	A MLE	Augusta GreenJackets	—	532	506	122	22	6	7	16	131	5	29	4	241	271	350	621	109	305	25	3	269	68	—	—	—	—	—	—
2009	20	A+ MLE	San Jose Giants	—	530	472	107	22	6	7	35	130	5	9	5	227	287	343	630	117	275	25	7	270	69	—	—	—	—	—	—
2010	21	AA MLE	Richmond Flying Squirrels	—	406	379	86	11	2	3	15	92	2	7	3	227	260	290	550	63	277	23	4	239	48	—	—	—	—	—	—
2011	22	AAA MLE	Fresno Grizzlies	—	41	38	11	0	0	1	3	3	0	1	0	289	341	368	710	79	287	7	7	300	89	—	—	—	—	—	—
2011	22	AA MLE	Richmond Flying Squirrels	—	299	274	51	10	0	2	19	75	2	2	2	186	244	245	489	58	241	25	6	224	38	—	—	—	—	—	—
2011	22	A+ MLE	San Jose Giants	—	135	125	27	5	1	1	9	25	0	1	2	216	269	296	565	80	251	19	7	246	53	—	—	—	—	—	—
2012	23	AAA MLE	Fresno Grizzlies	—	541	503	131	22	3	9	27	115	1	7	3	260	299	370	669	109	306	21	5	286	80	—	—	—	—	—	—
2013	24	MLB MLE	San Francisco Giants	—	111	108	23	2	0	0	3	24	0	0	0	213	234	231	466	19	284	22	3	216	32	-9	+0	+2	+1	+2	-0.3
2013	24	AAA MLE	Fresno Grizzlies	—	188	168	35	10	1	0	14	57	1	1	2	208	273	280	553	71	301	30	7	250	55	—	—	—	—	—	—
2014	25	AAA MLE	Fresno Grizzlies	—	406	384	73	12	0	2	15	126	4	6	5	190	228	237	465	47	272	31	4	207	26	—	—	—	—	—	—
2014	25	A+ MLE	San Jose Giants	—	20	19	3	1	0	1	1	5	0	0	0	158	200	368	568	211	124	25	5	201	22	—	—	—	—	—	—
2015	26	MLB MLE	San Francisco Giants	—	24	22	2	1	0	1	2	8	0	0	0	91	167	273	439	182	77	33	8	205	25	-2	+0	-1	+4	+1	0.2
2015	26	AAA MLE	Sacramento River Cats	—	339	313	69	11	0	2	17	102	1	2	1	220	263	275	538	54	300	30	5	237	47	—	—	—	—	—	—
2016	27	MLB MLE	San Diego Padres	—	20	18	3	0	0	0	1	5	0	0	1	167	211	167	377		214	25	5	172	2	-2	-0	-1	+4	+0	0.1
2016	27	AAA MLE	El Paso Chihuahuas	—	374	348	88	23	0	3	15	95	0	0	1	253	284	345	629	92	321	25	4	271	70	—	—	—	—	—	—
2017	28	AAA MLE	Colorado Springs Sky Sox	—	292	274	55	9	1	2	14	74	1	5	1	201	242	263	505	62	263	25	5	228	40	—	—	—	—	—	—
2018	29	AAA MLE	Round Rock Express	—	288	274	58	8	3	3	9	86	3	2	1	212	245	296	540	84	294	30	3	235	45	—	—	—	—	—	—
2018	29	AA MLE	Frisco RoughRiders	—	19	17	6	3	0	0	1	1	0	0	0	353	389	529	918	176	321	5	5	377	141	—	—	—	—	—	—
2007	18	ROK MLE	AZL Giants	—	224	210	53	8	3	2	8	29	2	18	3	252	286	348	634	95	283	13	4	273	71	—	—	—	—	—	—
2007	18	ROK RAW	AZL Giants	—	224	206	65	11	4	3	12	20	2	18	3	316	359	451	811	136	337	9	5	354	71	—	—	—	—	—	—
2008	19	A MLE	Augusta GreenJackets	—	532	506	122	22	6	7	16	131	5	29	4	241	271	350	621	109	310	25	3	269	68	—	—	—	—	—	—
2008	19	A RAW	Augusta GreenJackets	—	532	499	139	27	7	9	23	98	5	29	4	279	317	415	732	136	329	18	4	322	68	—	—	—	—	—	—
2009	20	A+ MLE	San Jose Giants	—	530	472	107	22	6	7	35	130	5	9	5	227	287	343	630	117	291	25	7	270	69	—	—	—	—	—	—
2009	20	A+ RAW	San Jose Giants	—	530	459	119	26	8	7	48	97	5	9	5	259	336	397	732	137	308	18	9	318	69	—	—	—	—	—	—
2010	21	AA MLE	Richmond Flying Squirrels	—	406	379	86	11	2	3	15	92	2	7	3	227	260	290	550	63	288	23	4	239	48	—	—	—	—	—	—
2010	21	AA RAW	Richmond Flying Squirrels	—	406	372	88	12	2	3	22	74	2	7	3	237	283	304	587	67	284	18	5	261	48	—	—	—	—	—	—
2011	22	AA MLE	3 teams	—	475	437	89	15	1	4	31	102	2	4	4	204	260	270	530	66	254	21	7	237	46	—	—	—	—	—	—
2011	22	AA RAW	3 teams	—	475	419	96	17	1	5	49	80	2	4	4	229	313	310	623	81	270	17	10	285	46	—	—	—	—	—	—
2012	23	AAA MLE	Fresno Grizzlies	—	541	503	131	22	3	9	27	115	1	7	3	260	299	370	669	109	318	21	5	286	80	—	—	—	—	—	—
2012	23	AAA RAW	Fresno Grizzlies	—	541	490	145	26	3	9	40	84	1	7	3	296	350	416	767	120	338	16	7	337	80	—	—	—	—	—	—
2013	24	AAA MLE	2 teams	—	299	276	59	12	1	0	17	81	1	1	2	214	262	264	526	51	298	27	6	237	47	—	—	—	—	—	—
2013	24	AAA RAW	2 teams	—	299	270	65	15	1	0	23	68	1	1	2	241	303	304	606	63	317	23	8	274	47	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	426	404	76	13	0	3	15	131	4	6	5	188	225	243	467	54	269	31	4	207	26	—	—	—	—	—	—
2014	25	AAA RAW	2 teams	—	426	398	92	17	0	4	21	101	4	6	5	231	277	304	581	73	299	24	5	263	26	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	363	335	71	12	0	3	19	110	1	2	1	212	256	275	531	63	300	30	5	235	45	—	—	—	—	—	—
2015	26	AAA RAW	2 teams	—	363	330	83	15	0	4	24	91	1	2	1	252	304	333	638	82	329	25	7	284	45	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	394	366	91	23	0	3	16	100	0	0	2	249	280	336	616	87	328	25	4	266	66	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	394	360	106	28	0	5	22	75	0	0	2	294	335	414	749	119	354	19	6	324	66	—	—	—	—	—	—
2017	28	AAA MLE	Colorado Springs Sky Sox	—	292	274	55	9	1	2	14	74	1	5	1	201	242	263	505	62	265	25	5	228	40	—	—	—	—	—	—
2017	28	AAA RAW	Colorado Springs Sky Sox	—	292	268	70	14	2	3	20	55	1	5	1	261	315	362	677	101	316	19	7	302	40	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	307	290	64	11	3	3	11	87	3	2	1	221	257	310	567	90	303	28	4	244	51	—	—	—	—	—	—
2018	29	AAA RAW	2 teams	—	307	286	75	14	3	4	15	71	3	2	1	262	306	374	680	112	335	23	5	302	51	—	—	—	—	—	—
2007	18	ROK MLE	AZL Giants	—	224	212	53	8	3	2	8	29	2	18	3	250	286	344	631	94	275	13	4	273	71	—	—	—	—	—	—
2008	19	A MLE	Augusta GreenJackets	—	532	506	122	22	6	7	16	131	5	29	4	241	271	350	621	109	305	25	3	269	68	—	—	—	—	—	—
2009	20	A+ MLE	San Jose Giants	—	530	485	107	22	6	7	35	130	5	9	5	221	287	334	621	113	275	25	7	270	69	—	—	—	—	—	—
2010	21	AA MLE	Richmond Flying Squirrels	—	406	386	86	11	2	3	15	92	2	7	3	223	260	285	545	62	277	23	4	239	48	—	—	—	—	—	—
2011	22	AA MLE	3 teams	—	475	439	89	15	1	4	31	102	2	4	4	203	260	269	528	66	248	21	7	237	46	—	—	—	—	—	—
2012	23	AAA MLE	Fresno Grizzlies	—	541	508	131	22	3	9	27	115	1	7	3	258	299	366	666	108	306	21	5	286	80	—	—	—	—	—	—
2013	24	AAA MLE	2 teams	—	299	279	59	12	1	0	17	81	1	1	2	211	262	262	524	50	295	27	6	237	47	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	426	404	76	13	0	3	15	131	4	6	5	188	225	243	467	54	265	31	4	207	26	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	363	340	71	12	0	3	19	110	1	2	1	209	256	271	527	62	285	30	5	235	45	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	394	375	91	23	0	3	16	100	0	0	2	243	280	328	608	85	316	25	4	266	66	—	—	—	—	—	—
2017	28	AAA MLE	Colorado Springs Sky Sox	—	292	275	55	9	1	2	14	74	1	5	1	200	242	262	504	62	263	25	5	228	40	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	307	290	64	11	3	3	11	87	3	2	1	221	257	310	567	90	296	28	4	244	51	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	155	145	28	3	0	1	9	37	0	0	1	193	240	234	475	41	250	24	6	219	56	-12	-0	+0	+9	+3	0.0
/ 162G	—	A+C		—	650	608	118	13	0	4	38	155	0	0	4	194	241	235	477	41	252	24	6	219	56	-51	-2	+1	+38	+14	0.1
Career	—	MLE		—	4789	4452	1004	180	26	46	224	1182	27	90	34	226	267	309	575	83	293	25	5	251	56	-12	-0	+0	+9	+3	0.0
/ 162G	—	MLE		—	650	604	136	24	4	6	30	160	4	12	5	225	266	308	574	83	293	25	5	251	56	-51	-2	+1	+38	+14	0.1

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.

2018 AAARound Rock Express · 288 PAwOBA .286 → .235 (−51)K% 24.3% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.31%	÷1.055	×1.290	—	—	29.71%
BB% (unintentional) /PA	4.51%	÷0.978	×0.710	—	×0.982	3.22%
HBP% /PA	1.04%	—	×0.980	—	×0.982	1.00%
Singles /BIP	25.50%	÷0.962	×0.900	×0.997	×0.982	23.37%
Doubles /BIP	5.50%	÷1.019	×0.810	×0.997	×0.982	4.28%
Triples /BIP	1.50%	÷0.900	×0.810	×0.997	×0.982	1.32%
Home runs /BIP	2.00%	÷0.978	×0.780	—	×0.982	1.57%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 92, 2B 104, 3B 80, K 111, BB 96 — 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 ×0.997.

Result: wOBA .286 → .235; ISO .107 → .082; BABIP .332 → .294. 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 AAFrisco RoughRiders · 19 PAwOBA .431 → .377 (−54)K% 5.3% → 7.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.26%	÷0.922	×1.220	—	—	6.96%
BB% (unintentional) /PA	10.53%	÷1.021	×0.700	—	×0.958	6.92%
HBP% /PA	0.00%	—	×0.870	—	×0.958	0.00%
Singles /BIP	20.00%	÷0.988	×0.920	—	×0.958	17.84%
Doubles /BIP	20.00%	÷0.993	×0.840	—	×0.958	16.21%
Triples /BIP	0.00%	÷1.150	×0.940	—	×0.958	0.00%
Home runs /BIP	0.00%	÷1.088	×0.800	—	×0.958	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 118, 1B 98, 2B 99, 3B 130, K 84, BB 104 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .431 → .377; ISO .188 → .166; BABIP .375 → .321. 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 AAAColorado Springs Sky Sox · 292 PAwOBA .296 → .228 (−68)K% 18.8% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.84%	÷0.953	×1.290	—	—	25.49%
BB% (unintentional) /PA	6.85%	÷0.995	×0.710	—	×0.992	4.85%
HBP% /PA	0.34%	—	×0.980	—	×0.992	0.33%
Singles /BIP	23.94%	÷1.018	×0.900	×1.002	×0.992	21.04%
Doubles /BIP	6.57%	÷1.163	×0.810	×1.002	×0.992	4.55%
Triples /BIP	0.94%	÷1.150	×0.810	×1.002	×0.992	0.66%
Home runs /BIP	1.41%	÷0.933	×0.780	—	×0.992	1.17%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 104, 2B 133, 3B 130, K 91, BB 99 — 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 ×1.002.

Result: wOBA .296 → .228; ISO .101 → .071; BABIP .316 → .263. 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 AAAEl Paso Chihuahuas · 374 PAwOBA .327 → .271 (−56)K% 18.7% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.72%	÷0.951	×1.290	—	—	25.39%
BB% (unintentional) /PA	5.61%	÷1.004	×0.710	—	×1.003	3.98%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	25.74%	÷1.026	×0.900	×1.036	×1.003	23.45%
Doubles /BIP	10.29%	÷0.987	×0.810	×1.036	×1.003	8.78%
Triples /BIP	0.00%	÷1.028	×0.810	×1.036	×1.003	0.00%
Home runs /BIP	1.84%	÷1.160	×0.780	—	×1.003	1.24%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 ×1.036.

Result: wOBA .327 → .271; ISO .126 → .097; BABIP .362 → .321. 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 · 339 PAwOBA .286 → .237 (−49)K% 24.5% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.48%	÷1.047	×1.290	—	—	30.17%
BB% (unintentional) /PA	6.49%	÷0.960	×0.710	—	×1.018	4.89%
HBP% /PA	0.29%	—	×0.980	—	×1.018	0.29%
Singles /BIP	28.44%	÷1.003	×0.900	×0.979	×1.018	25.43%
Doubles /BIP	6.22%	÷1.024	×0.810	×0.979	×1.018	4.90%
Triples /BIP	0.00%	÷0.925	×0.810	×0.979	×1.018	0.00%
Home runs /BIP	1.33%	÷0.982	×0.780	—	×1.018	1.08%

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 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 ×0.979.

Result: wOBA .286 → .237; ISO .075 → .058; BABIP .344 → .300. 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 AAAFresno Grizzlies · 406 PAwOBA .257 → .207 (−50)K% 23.9% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.89%	÷0.994	×1.290	—	—	31.00%
BB% (unintentional) /PA	4.93%	÷1.005	×0.710	—	×1.033	3.59%
HBP% /PA	0.99%	—	×0.980	—	×1.033	1.00%
Singles /BIP	24.82%	÷1.002	×0.900	×0.977	×1.033	22.50%
Doubles /BIP	5.67%	÷1.014	×0.810	×0.977	×1.033	4.57%
Triples /BIP	0.00%	÷0.900	×0.810	×0.977	×1.033	0.00%
Home runs /BIP	1.06%	÷1.045	×0.780	—	×1.033	0.82%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 100, 2B 103, 3B 80, K 99, BB 101 — 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 ×0.977.

Result: wOBA .257 → .207; ISO .066 → .049; BABIP .307 → .272. 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+San Jose Giants · 20 PAwOBA .241 → .201 (−40)K% 20.0% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.026	×1.340	—	—	26.13%
BB% (unintentional) /PA	5.00%	÷1.009	×0.710	—	×0.978	3.44%
HBP% /PA	0.00%	—	×0.790	—	×0.978	0.00%
Singles /BIP	6.67%	÷0.996	×0.910	—	×0.978	5.96%
Doubles /BIP	6.67%	÷0.953	×0.820	—	×0.978	5.61%
Triples /BIP	0.00%	÷0.979	×0.760	—	×0.978	0.00%
Home runs /BIP	6.67%	÷0.931	×0.920	—	×0.978	6.44%

Factors used: league row CAL. Park (home-season share, regressed): HR 86, 1B 99, 2B 91, 3B 96, K 105, BB 102 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .241 → .201; ISO .211 → .185; BABIP .143 → .124. 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 AAAFresno Grizzlies · 188 PAwOBA .296 → .250 (−47)K% 23.4% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.40%	÷0.989	×1.290	—	—	30.52%
BB% (unintentional) /PA	9.04%	÷0.908	×0.710	—	×1.048	7.41%
HBP% /PA	0.53%	—	×0.980	—	×1.048	0.55%
Singles /BIP	23.14%	÷0.999	×0.900	×0.968	×1.048	21.15%
Doubles /BIP	10.74%	÷0.974	×0.810	×0.968	×1.048	9.06%
Triples /BIP	0.83%	÷0.954	×0.810	×0.968	×1.048	0.71%
Home runs /BIP	0.00%	÷0.994	×0.780	—	×1.048	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 100, 2B 95, 3B 91, K 98, BB 82 — 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 ×0.968.

Result: wOBA .296 → .250; ISO .091 → .074; BABIP .339 → .301. 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).