Luke Montz

PosC

B/TR/R

Born1983-07-07

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	30	AAASF	145	.246/.357/.541	9	0	74	—	.180/.266/.391
2013	30	MLBOakland Athle…	30	.179/.207/.393	1	0	58	-0.4
2014	31	ROK/INTL2 orgs	112	.225/.384/.539	8	0	113	—	.225/.340/.550
2015	32	AAAPawtucket Red…	190	.167/.274/.333	5	1	26	—	.129/.204/.259
2016	33	No MLB games played
2017	34	No MLB games played
2018	35	No MLB games played
2019	36	No MLB games played
2020	37	No MLB games played
2021	38	No MLB games played
2022	39	No MLB games played
2023	40	No MLB games played
2024	41	No MLB games played
2025	42	No MLB games played
2026	43	No MLB games played

Last 3 seasons WAR -0.4

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2005	22	A	Savannah Sand Gnats	—	403	343	77	24	1	19	50	95	3	1	1	224	328	466	795	242	248	24	12	345	62	—	—	—	—	—	—
2006	23	A+	Potomac Nationals	—	519	449	103	27	3	16	51	91	8	3	3	229	319	410	729	180	248	18	10	320	58	—	—	—	—	—	—
2007	24	AA	Harrisburg Senators	—	158	146	34	5	1	5	8	50	1	0	0	233	277	384	661	151	312	32	5	288	46	—	—	—	—	—	—
2007	24	A+	Potomac Nationals	—	253	201	54	15	1	7	45	54	3	3	2	269	410	458	867	189	331	21	18	384	87	—	—	—	—	—	—
2008	25	MLB	Washington Nationals	—	26	21	3	0	0	1	5	9	0	0	0	143	308	286	593	143	182	35	19	284	78	-1	+0	-1	+8	+1	0.7
2008	25	AAA	Columbus Clippers	—	181	168	43	8	1	2	13	37	0	1	1	256	309	351	661	95	318	20	7	299	55	—	—	—	—	—	—
2008	25	AA	Harrisburg Senators	—	254	220	62	14	0	14	31	46	0	0	1	282	371	536	907	255	296	18	12	392	99	—	—	—	—	—	—
2009	26	AAA	Syracuse Chiefs	—	35	29	5	1	0	0	6	7	0	0	1	172	314	207	521	34	227	20	17	260	29	—	—	—	—	—	—
2009	26	AA	Harrisburg Senators	—	334	291	53	14	0	9	41	62	1	1	3	182	285	323	608	141	200	19	12	279	36	—	—	—	—	—	—
2010	27	AA	Binghamton Mets	—	125	110	20	3	0	2	12	32	0	0	2	182	262	264	526	82	228	26	10	240	15	—	—	—	—	—	—
2010	27	A+	St. Lucie Mets	—	21	16	4	0	0	1	5	4	0	0	0	250	429	438	866	188	273	19	24	394	95	—	—	—	—	—	—
2010	27	ROK	GCL Mets	—	20	17	5	0	0	1	3	3	0	1	0	294	400	471	871	176	308	15	15	390	68	—	—	—	—	—	—
2011	28	AA	Jacksonville Suns	—	483	395	108	27	0	22	74	95	7	8	0	273	397	509	906	235	302	20	15	395	103	—	—	—	—	—	—
2011	28	INTL	Gigantes del Cibao	—	98	84	20	4	0	3	14	26	0	1	0	238	347	393	740	155	309	27	14	336	113	—	—	—	—	—	—
2012	29	AAA	New Orleans Zephyrs	—	420	370	82	14	0	29	45	101	3	1	3	222	311	495	806	273	219	24	11	351	67	—	—	—	—	—	—
2012	29	INTL	Aguilas de Mexicali	—	154	134	33	8	0	9	18	42	0	0	0	246	336	507	843	261	282	27	12	364	132	—	—	—	—	—	—
2013	30	MLB	Oakland Athletics	—	30	28	5	3	0	1	1	8	0	0	0	179	207	393	600	214	200	27	3	251	58	-1	+0	-0	-3	+1	-0.4
2013	30	AAA	Sacramento River Cats	—	145	122	30	9	0	9	19	45	2	0	1	246	357	541	898	295	300	31	13	385	74	—	—	—	—	—	—
2014	31	ROK	AZL Athletics	—	47	36	12	2	0	5	10	7	1	0	0	333	489	806	1.295	472	292	15	21	536	139	—	—	—	—	—	—
2014	31	INTL	Aguilas de Mexicali	—	65	53	8	2	0	3	10	26	2	0	0	151	308	358	666	208	208	40	15	307	94	—	—	—	—	—	—
2015	32	AAA	Pawtucket Red Sox	—	190	162	27	12	0	5	23	58	1	1	0	167	274	333	608	167	216	31	12	272	26	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	56	49	8	3	0	2	6	17	0	0	0	163	255	347	601	184	194	30	11	266	66	-2	+0	-1	+5	+1	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	A MLE	Savannah Sand Gnats	—	403	360	62	18	1	15	33	127	3	1	1	172	247	353	600	181	205	32	8	260	62	—	—	—	—	—	—
2006	23	A+ MLE	Potomac Nationals	—	519	468	88	21	2	14	32	129	8	3	3	188	252	331	583	143	214	25	6	254	58	—	—	—	—	—	—
2007	24	AA MLE	Harrisburg Senators	—	158	148	30	4	1	4	6	61	1	0	0	203	239	324	563	122	292	39	4	236	46	—	—	—	—	—	—
2007	24	A+ MLE	Potomac Nationals	—	253	218	47	12	1	6	28	77	3	3	2	216	313	362	676	147	290	30	11	297	87	—	—	—	—	—	—
2008	25	MLB MLE	Washington Nationals	—	26	21	3	0	0	1	5	9	0	0	0	143	308	286	593	143	182	35	19	284	78	-1	+0	-1	+8	+1	0.7
2008	25	AAA MLE	Columbus Clippers	—	181	172	39	7	1	2	9	44	0	1	1	227	265	314	579	87	294	24	5	250	55	—	—	—	—	—	—
2008	25	AA MLE	Harrisburg Senators	—	254	230	55	12	0	11	21	56	0	0	1	239	303	435	738	196	259	22	8	315	99	—	—	—	—	—	—
2009	26	AAA MLE	Syracuse Chiefs	—	35	31	5	1	0	0	4	8	0	0	1	161	257	194	451	32	211	23	11	211	29	—	—	—	—	—	—
2009	26	AA MLE	Harrisburg Senators	—	334	305	48	12	0	7	27	75	1	1	3	157	228	266	494	108	182	22	8	221	36	—	—	—	—	—	—
2010	27	AA MLE	Binghamton Mets	—	125	114	16	2	0	1	8	40	0	0	2	140	197	184	381	44	198	32	6	190	15	—	—	—	—	—	—
2010	27	A+ MLE	St. Lucie Mets	—	21	17	4	0	0	1	4	6	0	0	0	235	381	412	793	176	234	29	19	308	95	—	—	—	—	—	—
2010	27	ROK MLE	GCL Mets	—	20	18	4	0	0	1	2	4	0	1	0	222	300	389	689	167	232	20	10	268	68	—	—	—	—	—	—
2011	28	AA MLE	Jacksonville Suns	—	483	424	98	26	0	18	45	111	7	8	0	231	315	420	735	189	257	23	9	320	103	—	—	—	—	—	—
2012	29	AAA MLE	New Orleans Zephyrs	—	420	386	67	12	0	23	29	129	3	1	3	174	237	383	620	210	185	31	7	267	67	—	—	—	—	—	—
2013	30	MLB MLE	Oakland Athletics	—	30	28	5	3	0	1	1	8	0	0	0	179	207	393	600	214	200	27	3	254	58	-1	+0	-0	-3	+1	-0.4
2013	30	AAA MLE	Sacramento River Cats	—	145	128	23	6	0	7	13	57	2	0	1	180	266	391	656	211	231	39	9	278	74	—	—	—	—	—	—
2014	31	ROK MLE	AZL Athletics	—	47	40	9	1	0	4	6	10	1	0	0	225	340	550	890	325	206	21	13	373	139	—	—	—	—	—	—
2015	32	AAA MLE	Pawtucket Red Sox	—	190	170	22	10	0	4	15	73	1	1	0	129	204	259	463	129	183	38	8	207	26	—	—	—	—	—	—
2005	22	A MLE	Savannah Sand Gnats	—	403	360	62	18	1	15	33	127	3	1	1	172	247	353	600	181	211	32	8	260	62	—	—	—	—	—	—
2005	22	A RAW	Savannah Sand Gnats	—	403	343	77	24	1	19	50	95	3	1	1	224	328	466	795	242	248	24	12	345	62	—	—	—	—	—	—
2006	23	A+ MLE	Potomac Nationals	—	519	468	88	21	2	14	32	129	8	3	3	188	252	331	583	143	222	25	6	254	58	—	—	—	—	—	—
2006	23	A+ RAW	Potomac Nationals	—	519	449	103	27	3	16	51	91	8	3	3	229	319	410	729	180	248	18	10	320	58	—	—	—	—	—	—
2007	24	A+ MLE	2 teams	—	411	366	77	16	2	10	34	138	4	3	2	210	285	347	632	137	302	34	8	274	71	—	—	—	—	—	—
2007	24	A+ RAW	2 teams	—	411	347	88	20	2	12	53	104	4	3	2	254	359	427	785	173	323	25	13	347	71	—	—	—	—	—	—
2008	25	AA MLE	3 teams	—	461	423	96	18	1	14	35	109	0	1	2	227	286	374	660	147	272	24	8	288	81	—	—	—	—	—	—
2008	25	AA RAW	3 teams	—	461	409	108	22	1	17	49	92	0	1	2	264	343	447	790	183	301	20	11	349	81	—	—	—	—	—	—
2009	26	AA MLE	2 teams	—	369	336	53	13	0	7	31	84	1	1	4	158	231	259	490	101	188	23	8	220	35	—	—	—	—	—	—
2009	26	AA RAW	2 teams	—	369	320	58	15	0	9	47	69	1	1	4	181	288	312	601	131	202	19	13	277	35	—	—	—	—	—	—
2010	27	AA MLE	3 teams	—	166	149	24	2	0	3	14	50	0	1	2	161	233	235	468	74	212	30	8	214	31	—	—	—	—	—	—
2010	27	AA RAW	3 teams	—	166	143	29	3	0	4	20	39	0	1	2	203	301	308	608	105	243	23	12	277	31	—	—	—	—	—	—
2011	28	AA MLE	2 teams	—	581	513	117	31	0	21	54	133	7	9	0	228	310	411	721	183	262	23	9	320	103	—	—	—	—	—	—
2011	28	AA RAW	2 teams	—	581	479	128	31	0	25	88	121	7	9	0	267	389	489	877	221	303	21	15	385	103	—	—	—	—	—	—
2012	29	AAA MLE	2 teams	—	574	528	91	16	0	31	39	176	3	1	3	172	233	379	612	206	185	31	7	267	67	—	—	—	—	—	—
2012	29	AAA RAW	2 teams	—	574	504	115	22	0	38	63	143	3	1	3	228	318	498	816	270	235	25	11	354	67	—	—	—	—	—	—
2013	30	AAA MLE	2 teams	—	175	156	28	9	0	8	14	65	2	0	1	179	256	391	647	212	233	37	8	274	72	—	—	—	—	—	—
2013	30	AAA RAW	2 teams	—	175	150	35	12	0	10	20	53	2	0	1	233	331	513	845	280	278	30	11	362	72	—	—	—	—	—	—
2014	31	INTL MLE	2 teams	—	112	95	22	3	0	9	14	24	3	0	0	232	348	547	896	316	210	21	12	373	139	—	—	—	—	—	—
2014	31	INTL RAW	2 teams	—	112	89	20	4	0	8	20	33	3	0	0	225	384	539	923	315	250	29	18	403	139	—	—	—	—	—	—
2015	32	AAA MLE	Pawtucket Red Sox	—	190	170	22	10	0	4	15	73	1	1	0	129	204	259	463	129	188	38	8	207	26	—	—	—	—	—	—
2015	32	AAA RAW	Pawtucket Red Sox	—	190	162	27	12	0	5	23	58	1	1	0	167	274	333	608	167	216	31	12	272	26	—	—	—	—	—	—
2005	22	A MLE	Savannah Sand Gnats	—	403	364	62	18	1	15	33	127	3	1	1	170	247	349	596	179	205	32	8	260	62	—	—	—	—	—	—
2006	23	A+ MLE	Potomac Nationals	—	519	474	88	21	2	14	32	129	8	3	3	186	252	327	579	141	214	25	6	254	58	—	—	—	—	—	—
2007	24	A+ MLE	2 teams	—	411	370	77	16	2	10	34	138	4	3	2	208	285	343	628	135	291	34	8	274	71	—	—	—	—	—	—
2008	25	AA MLE	3 teams	—	461	423	96	18	1	14	35	109	0	1	2	227	286	374	660	147	268	24	8	288	81	—	—	—	—	—	—
2009	26	AA MLE	2 teams	—	369	334	53	13	0	7	31	84	1	1	4	159	231	260	491	102	185	23	8	220	35	—	—	—	—	—	—
2010	27	AA MLE	3 teams	—	166	151	24	2	0	3	14	50	0	1	2	159	233	232	465	73	207	30	8	214	31	—	—	—	—	—	—
2011	28	AA MLE	2 teams	—	581	515	117	31	0	21	54	133	7	9	0	227	310	410	720	183	257	23	9	320	103	—	—	—	—	—	—
2012	29	AAA MLE	2 teams	—	574	527	91	16	0	31	39	176	3	1	3	173	233	380	613	207	185	31	7	267	67	—	—	—	—	—	—
2013	30	AAA MLE	2 teams	—	175	157	28	9	0	8	14	65	2	0	1	178	256	389	644	210	226	37	8	274	72	—	—	—	—	—	—
2014	31	INTL MLE	2 teams	—	112	94	22	3	0	9	14	24	3	0	0	234	348	553	901	319	206	21	12	373	139	—	—	—	—	—	—
2015	32	AAA MLE	Pawtucket Red Sox	—	190	172	22	10	0	4	15	73	1	1	0	128	204	256	460	128	183	38	8	207	26	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	56	49	8	3	0	2	6	17	0	0	0	163	255	347	601	184	194	30	11	266	68	-2	+0	-1	+5	+1	0.3
/ 162G	—	A+C		—	650	569	93	35	0	23	70	197	0	0	0	163	255	346	602	183	194	30	11	266	68	-26	+0	-14	+59	+14	3.4
Career	—	MLE		—	3961	3564	680	157	6	136	315	1108	32	21	18	191	263	353	615	162	231	28	8	269	68	-2	+0	-1	+5	+1	0.3
/ 162G	—	MLE		—	650	585	112	26	1	22	52	182	5	3	3	191	264	352	616	161	232	28	8	269	68	-26	+0	-14	+59	+14	3.4

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.

2015 AAAPawtucket Red Sox · 190 PAwOBA .269 → .207 (−63)K% 30.5% → 38.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.53%	÷0.956	×1.200	—	—	38.33%
BB% (unintentional) /PA	12.11%	÷0.996	×0.690	—	×0.952	7.99%
HBP% /PA	0.53%	—	×0.940	—	×0.952	0.47%
Singles /BIP	9.62%	÷0.989	×0.930	×0.950	×0.952	8.18%
Doubles /BIP	11.54%	÷0.867	×0.830	×0.950	×0.952	9.99%
Triples /BIP	0.00%	÷1.012	×0.970	×0.950	×0.952	0.00%
Home runs /BIP	4.81%	÷1.012	×0.840	—	×0.952	3.80%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 98, 2B 73, 3B 102, K 91, BB 99 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .269 → .207; ISO .167 → .133; BABIP .216 → .183. 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 ROKAZL Athletics · 47 PAwOBA .522 → .373 (−149)K% 14.9% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷1.000	×1.440	—	—	21.45%
BB% (unintentional) /PA	21.28%	÷1.000	×0.620	—	×0.940	12.40%
HBP% /PA	2.13%	—	×0.720	—	×0.940	1.44%
Singles /BIP	17.24%	÷1.000	×0.820	—	×0.940	13.29%
Doubles /BIP	6.90%	÷1.000	×0.720	—	×0.940	4.67%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	17.24%	÷1.000	×0.780	—	×0.940	12.64%

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 31 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (11.5 yr older than average).

Result: wOBA .522 → .373; ISO .472 → .360; BABIP .292 → .206. 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 AAASacramento River Cats · 145 PAwOBA .380 → .278 (−102)K% 31.0% → 39.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.03%	÷1.016	×1.290	—	—	39.39%
BB% (unintentional) /PA	13.10%	÷1.007	×0.710	—	×0.972	8.98%
HBP% /PA	1.38%	—	×0.980	—	×0.972	1.31%
Singles /BIP	15.58%	÷0.981	×0.900	×0.950	×0.972	13.20%
Doubles /BIP	11.69%	÷1.037	×0.810	×0.950	×0.972	8.43%
Triples /BIP	0.00%	÷0.906	×0.810	×0.950	×0.972	0.00%
Home runs /BIP	11.69%	÷0.978	×0.780	—	×0.972	9.06%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 96, 2B 107, 3B 81, K 103, BB 101 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .380 → .278; ISO .295 → .213; BABIP .300 → .231. 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).

2012 AAANew Orleans Zephyrs · 420 PAwOBA .339 → .267 (−72)K% 24.0% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.05%	÷1.013	×1.290	—	—	30.63%
BB% (unintentional) /PA	9.76%	÷0.997	×0.710	—	×0.982	6.83%
HBP% /PA	0.71%	—	×0.980	—	×0.982	0.69%
Singles /BIP	14.50%	÷0.976	×0.900	×0.950	×0.982	12.47%
Doubles /BIP	5.20%	÷0.868	×0.810	×0.950	×0.982	4.53%
Triples /BIP	0.00%	÷1.150	×0.810	×0.950	×0.982	0.00%
Home runs /BIP	10.78%	÷0.942	×0.780	—	×0.982	8.77%

Factors used: league row PCL. Park (home-season share, regressed): HR 88, 1B 95, 2B 74, 3B 130, K 103, BB 99 — 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 .339 → .267; ISO .273 → .216; BABIP .219 → .185. 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 AAJacksonville Suns · 483 PAwOBA .386 → .320 (−66)K% 19.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.67%	÷1.046	×1.220	—	—	22.95%
BB% (unintentional) /PA	14.08%	÷1.001	×0.680	—	×0.968	9.26%
HBP% /PA	1.45%	—	×0.840	—	×0.968	1.18%
Singles /BIP	19.67%	÷0.992	×0.920	×0.950	×0.968	16.78%
Doubles /BIP	9.00%	÷0.935	×0.910	×0.950	×0.968	8.06%
Triples /BIP	0.00%	÷0.936	×0.880	×0.950	×0.968	0.00%
Home runs /BIP	7.33%	÷1.023	×0.800	—	×0.968	5.55%

Factors used: league row SL. Park (home-season share, regressed): HR 105, 1B 98, 2B 87, 3B 87, K 109, BB 100 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .386 → .320; ISO .235 → .201; BABIP .302 → .257. 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 AABinghamton Mets · 125 PAwOBA .240 → .190 (−50)K% 25.6% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.60%	÷0.975	×1.220	—	—	32.04%
BB% (unintentional) /PA	9.60%	÷0.975	×0.700	—	×0.978	6.74%
HBP% /PA	0.00%	—	×0.850	—	×0.978	0.00%
Singles /BIP	19.23%	÷1.023	×0.970	×0.955	×0.978	17.03%
Doubles /BIP	3.85%	÷0.982	×0.860	×0.955	×0.978	3.15%
Triples /BIP	0.00%	÷1.150	×0.950	×0.955	×0.978	0.00%
Home runs /BIP	2.56%	÷1.048	×0.780	—	×0.978	1.87%

Factors used: league row EL. Park (home-season share, regressed): HR 110, 1B 105, 2B 96, 3B 130, K 95, BB 95 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .240 → .190; ISO .082 → .061; BABIP .228 → .198. 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+St. Lucie Mets · 21 PAwOBA .385 → .308 (−78)K% 19.0% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷1.008	×1.420	—	—	26.82%
BB% (unintentional) /PA	23.81%	÷1.020	×0.750	—	×0.958	16.77%
HBP% /PA	0.00%	—	×0.930	—	×0.958	0.00%
Singles /BIP	25.00%	÷1.018	×0.920	—	×0.958	21.65%
Doubles /BIP	0.00%	÷1.024	×0.960	—	×0.958	0.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.958	0.00%
Home runs /BIP	8.33%	÷0.942	×0.880	—	×0.958	7.46%

Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 104, 2B 105, 3B 130, K 102, BB 104 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .385 → .308; ISO .188 → .166; BABIP .273 → .234. 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 ROKGCL Mets · 20 PAwOBA .380 → .268 (−111)K% 15.0% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷1.000	×1.440	—	—	21.60%
BB% (unintentional) /PA	15.00%	÷1.000	×0.620	—	×0.940	8.74%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	28.57%	÷1.000	×0.820	—	×0.940	22.02%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	7.14%	÷1.000	×0.780	—	×0.940	5.24%

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 27 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (7.5 yr older than average).

Result: wOBA .380 → .268; ISO .176 → .129; BABIP .308 → .232. 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 — .