Devin Mesoraco

PosC

B/TR/R

Born1988-06-19

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	28	MLBCIN	55	.140/.218/.160	0	0	10	-0.4
2017	29	AAMIA	55	.170/.291/.255	1	0	15	—	.143/.236/.224
2017	29	MLBCIN	165	.213/.323/.390	6	1	98	0.4
2018	30	MLBNYM	274	.221/.304/.398	11	0	97	0.3
2019	31	No MLB games played
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR 0.3

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

xwOBA36

Barrel%28

Avg EV10

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. 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)
2007	19	ROK	GCL Reds	—	155	137	30	4	0	1	15	26	3	2	0	219	310	270	580	51	264	17	10	274	21	—	—	—	—	—	—
2008	20	A	Dayton Dragons	—	334	306	80	13	1	9	20	64	4	2	3	261	315	399	714	137	300	19	6	316	65	—	—	—	—	—	—
2009	21	A+	Sarasota Reds	—	357	312	71	22	1	8	35	76	4	0	1	228	313	381	695	154	273	21	10	308	61	—	—	—	—	—	—
2010	22	AAA	Louisville Bats	—	58	52	12	3	0	3	6	14	0	0	1	231	310	462	772	231	257	24	10	340	74	—	—	—	—	—	—
2010	22	AA	Carolina Mudcats	—	212	187	55	11	3	13	18	37	4	1	0	294	368	594	962	299	300	17	8	410	121	—	—	—	—	—	—
2010	22	A+	Lynchburg Hillcats	—	181	158	53	11	2	10	19	29	3	2	2	335	417	620	1.037	285	358	16	10	446	119	—	—	—	—	—	—
2010	22	INTL	Peoria Saguaros	—	68	66	16	6	1	2	1	15	0	0	0	242	254	455	708	212	280	22	1	302	90	—	—	—	—	—	—
2011	23	MLB	Cincinnati Reds	—	53	50	9	3	0	2	3	10	0	0	0	180	226	360	586	180	184	19	6	259	49	-3	+0	-2	+10	+1	0.6
2011	23	AAA	Louisville Bats	—	499	436	126	36	2	15	52	83	7	1	1	289	374	484	858	195	325	17	10	377	101	—	—	—	—	—	—
2012	24	MLB	Cincinnati Reds	—	184	165	35	8	0	5	17	33	1	1	1	212	290	352	641	139	234	18	9	289	68	-7	-0	+5	+4	+4	0.5
2012	24	AAA	Louisville Bats	—	19	18	3	1	0	0	1	2	0	0	0	167	211	222	433	56	188	11	5	200	-1	—	—	—	—	—	—
2013	25	MLB	Cincinnati Reds	—	352	323	77	13	0	9	24	61	0	0	2	238	291	362	653	124	264	17	7	290	73	-11	-1	-7	+6	+8	-0.5
2014	26	MLB	Cincinnati Reds	—	440	384	105	25	0	25	41	103	12	1	3	273	362	534	895	260	309	23	9	389	139	+20	-1	+2	+8	+10	4.0
2015	27	MLB	Cincinnati Reds	—	51	45	8	1	1	0	5	9	1	1	0	178	275	244	519	67	222	18	10	246	51	-3	+0	-1	+1	+1	-0.2
2016	28	MLB	Cincinnati Reds	—	55	50	7	1	0	0	5	10	0	0	1	140	218	160	378	20	175	18	9	185	10	-6	-0	+0	+1	+1	-0.4
2017	29	MLB	Cincinnati Reds	—	165	141	30	5	1	6	18	38	5	1	0	213	323	390	713	177	245	23	11	321	98	-0	+0	-3	+4	+4	0.4
2017	29	AA	Pensacola Blue Wahoos	—	55	47	8	1	0	1	6	10	2	0	0	170	291	255	546	85	194	18	11	263	15	—	—	—	—	—	—
2018	30	MLB	New York Mets	—	274	244	54	10	0	11	25	52	4	0	0	221	304	398	702	176	236	19	9	314	97	-1	+0	-7	+5	+6	0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1574	1402	325	66	2	58	138	316	23	4	7	232	311	406	717	174	257	20	9	319	102	+4	-2	-13	+38	+34	6.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	19	ROK MLE	GCL Reds	—	155	143	24	3	0	1	9	38	3	2	0	168	232	210	442	42	218	25	6	199	21	—	—	—	—	—	—
2008	20	A MLE	Dayton Dragons	—	334	312	71	11	1	7	14	87	4	2	3	228	270	337	606	109	283	26	4	264	65	—	—	—	—	—	—
2009	21	A+ MLE	Sarasota Reds	—	357	320	63	20	1	7	27	108	4	0	1	197	268	331	599	134	258	30	8	258	61	—	—	—	—	—	—
2010	22	AAA MLE	Louisville Bats	—	58	53	10	3	0	2	5	18	0	0	1	189	259	358	617	170	247	31	9	277	74	—	—	—	—	—	—
2010	22	AA MLE	Carolina Mudcats	—	212	192	48	9	2	11	13	47	4	1	0	250	311	490	801	240	271	22	6	347	121	—	—	—	—	—	—
2010	22	A+ MLE	Lynchburg Hillcats	—	181	166	44	9	1	8	11	42	3	2	2	265	322	476	798	211	306	23	6	344	119	—	—	—	—	—	—
2011	23	MLB MLE	Cincinnati Reds	—	53	51	9	3	0	2	2	10	0	0	0	176	208	353	560	176	184	19	4	240	49	-3	+0	-2	+10	+1	0.6
2011	23	AAA MLE	Louisville Bats	—	499	457	113	31	2	14	31	103	7	1	1	247	305	416	721	168	287	21	6	318	101	—	—	—	—	—	—
2012	24	MLB MLE	Cincinnati Reds	—	184	169	35	8	0	5	13	33	1	1	1	207	268	343	611	136	234	18	7	269	68	-7	-0	+5	+4	+4	0.5
2012	24	AAA MLE	Louisville Bats	—	19	18	3	1	0	0	1	2	0	0	0	167	211	222	433	56	171	11	5	167	-1	—	—	—	—	—	—
2013	25	MLB MLE	Cincinnati Reds	—	352	327	76	13	0	8	20	61	0	0	2	232	277	346	622	113	264	17	6	277	73	-11	-1	-7	+6	+8	-0.5
2014	26	MLB MLE	Cincinnati Reds	—	440	388	103	25	0	23	37	103	12	1	3	265	348	508	856	242	309	23	8	373	139	+20	-1	+2	+8	+10	4.0
2015	27	MLB MLE	Cincinnati Reds	—	51	45	8	1	1	0	5	9	1	1	0	178	275	244	519	67	222	18	10	244	51	-3	+0	-1	+1	+1	-0.2
2016	28	MLB MLE	Cincinnati Reds	—	55	50	7	1	0	0	5	10	0	0	1	140	218	160	378	20	175	18	9	184	10	-6	-0	+0	+1	+1	-0.4
2017	29	MLB MLE	Cincinnati Reds	—	165	141	30	5	1	6	18	38	5	1	0	213	323	390	713	177	245	23	11	314	98	-0	+0	-3	+4	+4	0.4
2017	29	AA MLE	Pensacola Blue Wahoos	—	55	49	7	1	0	1	4	12	2	0	0	143	236	224	461	82	167	22	7	190	15	—	—	—	—	—	—
2018	30	MLB MLE	New York Mets	—	274	247	56	11	0	11	22	52	4	0	0	227	300	405	705	178	236	19	8	312	97	-1	+0	-7	+5	+6	0.3
2007	19	ROK MLE	GCL Reds	—	155	143	24	3	0	1	9	38	3	2	0	168	232	210	442	42	221	25	6	199	21	—	—	—	—	—	—
2007	19	ROK RAW	GCL Reds	—	155	137	30	4	0	1	15	26	3	2	0	219	310	270	580	51	264	17	10	274	21	—	—	—	—	—	—
2008	20	A MLE	Dayton Dragons	—	334	312	71	11	1	7	14	87	4	2	3	228	270	337	606	109	288	26	4	264	65	—	—	—	—	—	—
2008	20	A RAW	Dayton Dragons	—	334	306	80	13	1	9	20	64	4	2	3	261	315	399	714	137	300	19	6	316	65	—	—	—	—	—	—
2009	21	A+ MLE	Sarasota Reds	—	357	320	63	20	1	7	27	108	4	0	1	197	268	331	599	134	269	30	8	258	61	—	—	—	—	—	—
2009	21	A+ RAW	Sarasota Reds	—	357	312	71	22	1	8	35	76	4	0	1	228	313	381	695	154	273	21	10	308	61	—	—	—	—	—	—
2010	22	AA MLE	4 teams	—	519	474	119	24	4	25	33	123	7	3	3	251	309	477	786	226	284	24	6	337	114	—	—	—	—	—	—
2010	22	AA RAW	4 teams	—	519	463	136	31	6	28	44	95	7	3	3	294	364	568	932	274	313	18	8	400	114	—	—	—	—	—	—
2011	23	AAA MLE	2 teams	—	552	508	122	34	2	16	33	113	7	1	1	240	296	409	705	169	277	20	6	311	96	—	—	—	—	—	—
2011	23	AAA RAW	2 teams	—	552	486	135	39	2	17	55	93	7	1	1	278	359	471	831	193	311	17	10	366	96	—	—	—	—	—	—
2012	24	MLB MLE	2 teams	—	203	187	38	9	0	5	14	35	1	1	1	203	262	332	594	128	223	17	7	259	62	-9	-0	+5	+4	+4	0.3
2012	24	MLB RAW	2 teams	—	203	183	38	9	0	5	18	35	1	1	1	208	282	339	621	131	229	17	9	281	62	-9	-0	+5	+4	+4	0.3
2013	25	MLB MLE	Cincinnati Reds	—	352	327	76	13	0	8	20	61	0	0	2	232	277	346	622	113	259	17	6	277	73	-11	-1	-7	+6	+8	-0.5
2013	25	MLB RAW	Cincinnati Reds	—	352	323	77	13	0	9	24	61	0	0	2	238	291	362	653	124	264	17	7	290	73	-11	-1	-7	+6	+8	-0.5
2014	26	MLB MLE	Cincinnati Reds	—	440	388	103	25	0	23	37	103	12	1	3	265	348	508	856	242	302	23	8	373	139	+20	-1	+2	+8	+10	4.0
2014	26	MLB RAW	Cincinnati Reds	—	440	384	105	25	0	25	41	103	12	1	3	273	362	534	895	260	309	23	9	389	139	+20	-1	+2	+8	+10	4.0
2015	27	MLB MLE	Cincinnati Reds	—	51	45	8	1	1	0	5	9	1	1	0	178	275	244	519	67	222	18	10	244	51	-3	+0	-1	+1	+1	-0.2
2015	27	MLB RAW	Cincinnati Reds	—	51	45	8	1	1	0	5	9	1	1	0	178	275	244	519	67	222	18	10	246	51	-3	+0	-1	+1	+1	-0.2
2016	28	MLB MLE	Cincinnati Reds	—	55	50	7	1	0	0	5	10	0	0	1	140	218	160	378	20	175	18	9	184	10	-6	-0	+0	+1	+1	-0.4
2016	28	MLB RAW	Cincinnati Reds	—	55	50	7	1	0	0	5	10	0	0	1	140	218	160	378	20	175	18	9	185	10	-6	-0	+0	+1	+1	-0.4
2017	29	MLB MLE	2 teams	—	220	190	36	6	1	6	22	50	7	1	0	189	297	326	623	137	222	23	10	283	78	-6	+0	-3	+4	+5	-0.0
2017	29	MLB RAW	2 teams	—	220	188	38	6	1	7	24	48	7	1	0	202	315	356	671	154	231	22	11	307	78	-6	+0	-3	+4	+5	-0.0
2018	30	MLB MLE	New York Mets	—	274	247	56	11	0	11	22	52	4	0	0	227	300	405	705	178	243	19	8	312	97	-1	+0	-7	+5	+6	0.3
2018	30	MLB RAW	New York Mets	—	274	244	54	10	0	11	25	52	4	0	0	221	304	398	702	176	236	19	9	314	97	-1	+0	-7	+5	+6	0.3
2007	19	ROK MLE	GCL Reds	—	155	142	24	3	0	1	9	38	3	2	0	169	232	211	444	42	218	25	6	199	21	—	—	—	—	—	—
2008	20	A MLE	Dayton Dragons	—	334	313	71	11	1	7	14	87	4	2	3	227	270	335	605	109	283	26	4	264	65	—	—	—	—	—	—
2009	21	A+ MLE	Sarasota Reds	—	357	323	63	20	1	7	27	108	4	0	1	195	268	328	596	133	258	30	8	258	61	—	—	—	—	—	—
2010	22	AA MLE	4 teams	—	519	474	119	24	4	25	33	123	7	3	3	251	309	477	786	226	282	24	6	337	114	—	—	—	—	—	—
2011	23	AAA MLE	2 teams	—	552	507	122	34	2	16	33	113	7	1	1	241	296	410	706	170	277	20	6	311	96	—	—	—	—	—	—
2012	24	MLB MLE	2 teams	—	203	186	38	9	0	5	14	35	1	1	1	204	262	333	596	129	228	17	7	259	62	—	—	—	—	—	—
2013	25	MLB MLE	Cincinnati Reds	—	352	329	76	13	0	8	20	61	0	0	2	231	277	343	620	112	264	17	6	277	73	—	—	—	—	—	—
2014	26	MLB MLE	Cincinnati Reds	—	440	388	103	25	0	23	37	103	12	1	3	265	348	508	856	242	309	23	8	373	139	—	—	—	—	—	—
2015	27	MLB MLE	Cincinnati Reds	—	51	45	8	1	1	0	5	9	1	1	0	178	275	244	519	67	222	18	10	244	51	—	—	—	—	—	—
2016	28	MLB MLE	Cincinnati Reds	—	55	50	7	1	0	0	5	10	0	0	1	140	218	160	378	20	175	18	9	184	10	—	—	—	—	—	—
2017	29	MLB MLE	2 teams	—	220	189	36	6	1	6	22	50	7	1	0	190	297	328	625	138	225	23	10	283	78	—	—	—	—	—	—
2018	30	MLB MLE	New York Mets	—	274	246	56	11	0	11	22	52	4	0	0	228	300	407	707	179	236	19	8	312	97	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1574	1402	325	66	2	58	138	316	23	4	7	232	311	406	717	174	257	20	9	319	87	+4	-2	-13	+38	+34	6.3
/ 162G	—	A+C		—	650	579	134	27	1	24	57	130	9	2	3	231	310	406	716	174	256	20	9	319	87	+2	-1	-5	+16	+14	2.6
Career	—	MLE		—	3512	3191	723	158	10	109	241	789	50	12	15	227	291	385	676	158	265	22	7	297	87	+4	-2	-13	+38	+34	6.3
/ 162G	—	MLE		—	650	591	134	29	2	20	45	146	9	2	3	227	292	384	676	157	265	22	7	297	87	+2	-1	-5	+16	+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.

2017 AAPensacola Blue Wahoos · 55 PAwOBA .257 → .190 (−67)K% 18.2% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.979	×1.220	—	—	22.66%
BB% (unintentional) /PA	10.91%	÷1.095	×0.680	—	×0.958	6.49%
HBP% /PA	3.64%	—	×0.840	—	×0.958	2.93%
Singles /BIP	16.22%	÷1.018	×0.920	—	×0.958	14.04%
Doubles /BIP	2.70%	÷0.997	×0.910	—	×0.958	2.36%
Triples /BIP	0.00%	÷0.943	×0.880	—	×0.958	0.00%
Home runs /BIP	2.70%	÷1.399	×0.800	—	×0.958	1.48%

Factors used: league row SL. Park (home-season share, regressed): HR 180, 1B 104, 2B 99, 3B 89, K 96, BB 119 — 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 .257 → .190; ISO .085 → .054; BABIP .194 → .167. 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 AAALouisville Bats · 19 PAwOBA .194 → .167 (−27)K% 10.5% → 13.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷0.967	×1.200	—	—	13.06%
BB% (unintentional) /PA	5.26%	÷1.034	×0.690	—	×1.048	3.68%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	12.50%	÷1.046	×0.930	—	×1.048	11.65%
Doubles /BIP	6.25%	÷1.002	×0.830	—	×1.048	5.43%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.048	0.00%
Home runs /BIP	0.00%	÷1.087	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 109, 2B 100, 3B 80, K 93, BB 107 — 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).

Result: wOBA .194 → .167; ISO .056 → .048; BABIP .188 → .171. 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 AAALouisville Bats · 499 PAwOBA .366 → .318 (−48)K% 16.6% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.63%	÷0.966	×1.200	—	—	20.66%
BB% (unintentional) /PA	9.22%	÷1.070	×0.690	—	×1.050	6.24%
HBP% /PA	1.40%	—	×0.940	—	×1.050	1.38%
Singles /BIP	20.68%	÷1.033	×0.930	×0.950	×1.050	18.57%
Doubles /BIP	10.20%	÷0.972	×0.830	×0.950	×1.050	8.68%
Triples /BIP	0.57%	÷0.924	×0.970	×0.950	×1.050	0.59%
Home runs /BIP	4.25%	÷0.944	×0.840	—	×1.050	3.97%

Factors used: league row IL. Park (home-season share, regressed): HR 89, 1B 107, 2B 94, 3B 85, K 93, BB 114 — 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 ×0.950.

Result: wOBA .366 → .318; ISO .195 → .179; BABIP .325 → .287. 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 AACarolina Mudcats · 212 PAwOBA .404 → .347 (−57)K% 17.5% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.45%	÷0.968	×1.220	—	—	22.01%
BB% (unintentional) /PA	8.49%	÷1.014	×0.680	—	×1.042	5.94%
HBP% /PA	1.89%	—	×0.840	—	×1.042	1.65%
Singles /BIP	18.67%	÷0.986	×0.920	×0.966	×1.042	17.54%
Doubles /BIP	7.33%	÷1.057	×0.910	×0.966	×1.042	6.36%
Triples /BIP	2.00%	÷1.063	×0.880	×0.966	×1.042	1.67%
Home runs /BIP	8.67%	÷0.959	×0.800	—	×1.042	7.53%

Factors used: league row SL. Park (home-season share, regressed): HR 92, 1B 97, 2B 111, 3B 113, K 94, BB 103 — 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 ×0.966.

Result: wOBA .404 → .347; ISO .299 → .258; BABIP .300 → .271. 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+Lynchburg Hillcats · 181 PAwOBA .435 → .344 (−91)K% 16.0% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.02%	÷0.972	×1.420	—	—	23.39%
BB% (unintentional) /PA	9.94%	÷0.999	×0.630	—	×1.012	6.35%
HBP% /PA	1.66%	—	×0.860	—	×1.012	1.44%
Singles /BIP	23.26%	÷1.013	×0.940	×0.950	×1.012	20.74%
Doubles /BIP	8.53%	÷0.964	×0.830	×0.950	×1.012	7.06%
Triples /BIP	1.55%	÷1.065	×0.800	×0.950	×1.012	1.12%
Home runs /BIP	7.75%	÷1.105	×0.900	—	×1.012	6.39%

Factors used: league row CAR. Park (home-season share, regressed): HR 121, 1B 103, 2B 93, 3B 113, K 94, BB 100 — 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 ×0.950.

Result: wOBA .435 → .344; ISO .285 → .224; BABIP .358 → .306. 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 AAALouisville Bats · 58 PAwOBA .330 → .277 (−53)K% 24.1% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.14%	÷0.952	×1.200	—	—	30.42%
BB% (unintentional) /PA	10.34%	÷0.942	×0.690	—	×1.050	7.96%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	15.79%	÷1.018	×0.930	—	×1.050	15.14%
Doubles /BIP	7.89%	÷0.858	×0.830	—	×1.050	8.02%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.050	0.00%
Home runs /BIP	7.89%	÷1.093	×0.840	—	×1.050	6.37%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 104, 2B 72, 3B 130, K 90, BB 88 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .330 → .277; ISO .231 → .186; BABIP .257 → .247. 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+Sarasota Reds · 357 PAwOBA .303 → .258 (−45)K% 21.3% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.29%	÷1.000	×1.420	—	—	30.23%
BB% (unintentional) /PA	9.80%	÷1.000	×0.750	—	×1.027	7.55%
HBP% /PA	1.12%	—	×0.930	—	×1.027	1.07%
Singles /BIP	16.95%	÷1.000	×0.920	×0.992	×1.027	15.89%
Doubles /BIP	9.32%	÷1.000	×0.960	×0.992	×1.027	9.12%
Triples /BIP	0.42%	÷1.000	×0.810	×0.992	×1.027	0.35%
Home runs /BIP	3.39%	÷1.000	×0.880	—	×1.027	3.06%

Factors used: league row FSL. 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 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 ×0.992.

Result: wOBA .303 → .258; ISO .154 → .133; BABIP .273 → .258. 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).

2008 ADayton Dragons · 334 PAwOBA .311 → .264 (−47)K% 19.2% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.16%	÷1.000	×1.360	—	—	26.06%
BB% (unintentional) /PA	5.99%	÷1.000	×0.690	—	×1.030	4.26%
HBP% /PA	1.20%	—	×0.780	—	×1.030	0.96%
Singles /BIP	23.55%	÷1.000	×0.920	×1.024	×1.030	22.86%
Doubles /BIP	5.37%	÷1.000	×0.830	×1.024	×1.030	4.70%
Triples /BIP	0.41%	÷1.000	×0.910	×1.024	×1.030	0.40%
Home runs /BIP	3.72%	÷1.000	×0.800	—	×1.030	3.06%

Factors used: level-wide A 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 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 ×1.024.

Result: wOBA .311 → .264; ISO .137 → .110; BABIP .300 → .283. 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 — .