Mark Trumbo

Pos1B

B/TR/R

Born1986-01-16

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	31	MLBBAL	603	.234/.289/.397	23	1	87	-1.1
2018	32	MLBBAL	358	.261/.315/.452	17	0	107	0.3
2019	33	AAABAL	48	.214/.312/.571	4	0	78	—	.159/.229/.409
2019	33	MLBBAL	31	.172/.226/.276	0	0	41	-0.2
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR -1.0

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Avg EV76

xwOBA55

Barrel%51

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)
2005	19	ROK	Orem Owlz	—	323	299	82	23	1	10	21	67	1	2	2	274	324	458	782	184	321	21	7	343	48	—	—	—	—	—	—
2006	20	A	Cedar Rapids Kernels	—	482	428	94	19	0	13	44	99	3	5	5	220	297	355	652	136	251	21	9	291	44	—	—	—	—	—	—
2007	21	A	Cedar Rapids Kernels	—	516	471	128	27	2	14	34	98	6	10	8	272	329	427	756	155	313	19	7	333	67	—	—	—	—	—	—
2008	22	AA	Arkansas Travelers	—	134	123	34	7	1	6	7	29	0	1	2	276	315	496	811	220	311	22	5	344	87	—	—	—	—	—	—
2008	22	A+	Rancho Cucamonga Quakes	—	438	407	115	28	2	26	26	67	3	7	3	283	330	553	883	270	282	15	6	381	99	—	—	—	—	—	—
2009	23	AA	Arkansas Travelers	—	581	533	155	35	3	15	37	100	1	6	3	291	338	452	790	161	329	17	6	344	90	—	—	—	—	—	—
2010	24	MLB	Los Angeles Angels	—	16	15	1	0	0	0	1	8	0	0	0	67	125	67	192		143	50	6	100	-46	-3	+0	+0	-13	+0	-1.5
2010	24	AAA	Salt Lake Bees	—	595	532	160	29	5	36	58	126	1	3	4	301	371	577	948	276	332	21	10	408	104	—	—	—	—	—	—
2010	24	INTL	Navegantes del Magallanes	—	121	107	36	9	1	5	13	37	0	3	2	336	408	579	988	243	470	31	11	427	175	—	—	—	—	—	—
2011	25	MLB	Los Angeles Angels	—	573	539	137	31	1	29	25	120	5	9	4	254	293	477	770	223	274	21	4	334	108	+6	+0	-6	-10	+12	0.2
2012	26	MLB	Los Angeles Angels	—	586	544	146	19	3	32	36	153	4	4	5	268	318	491	809	222	316	26	6	353	123	+16	-1	-6	-6	+13	1.5
2013	27	MLB	Los Angeles Angels	—	678	620	145	30	2	34	54	184	0	5	2	234	295	453	748	219	273	27	8	327	103	+3	+0	-7	-12	+15	-0.1
2014	28	MLB	Arizona Diamondbacks	—	362	328	77	15	1	14	28	89	1	2	3	235	297	415	712	180	274	25	8	312	88	-5	-1	-7	-6	+8	-1.2
2015	29	MLB	Seattle Mariners	—	545	508	133	23	3	22	36	132	0	0	0	262	311	449	759	187	313	24	7	334	114	+9	+0	-7	-6	+12	0.9
2016	30	MLB	Baltimore Orioles	—	667	613	157	27	1	47	51	170	3	2	0	256	316	533	850	277	278	25	8	369	125	+20	+0	-15	-7	+14	1.3
2017	31	MLB	Baltimore Orioles	—	603	559	131	22	0	23	42	149	1	1	0	234	289	397	686	163	278	25	7	305	87	-9	+0	-8	-6	+13	-1.1
2018	32	MLB	Baltimore Orioles	—	358	330	86	12	0	17	24	87	2	0	0	261	315	452	766	191	303	24	7	337	107	+3	+0	-4	-4	+8	0.3
2019	33	MLB	Baltimore Orioles	—	31	29	5	3	0	0	2	5	0	0	0	172	226	276	502	103	208	16	6	228	41	-2	+0	+0	-1	+1	-0.2
2019	33	AAA	Norfolk Tides	—	48	42	9	3	0	4	6	15	0	0	0	214	312	571	884	357	217	31	12	379	78	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4419	4085	1018	182	11	218	299	1097	16	23	14	249	303	459	762	210	287	25	7	334	112	+63	-1	-59	-72	+96	2.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	ROK MLE	Orem Owlz	—	323	310	62	16	1	7	10	97	1	2	2	200	227	326	553	126	257	30	3	239	48	—	—	—	—	—	—
2006	20	A MLE	Cedar Rapids Kernels	—	482	442	80	15	0	10	30	134	3	5	5	181	238	283	521	102	225	28	6	233	44	—	—	—	—	—	—
2007	21	A MLE	Cedar Rapids Kernels	—	516	482	109	21	2	11	23	133	6	10	8	226	270	346	617	120	280	26	4	267	67	—	—	—	—	—	—
2008	22	AA MLE	Arkansas Travelers	—	134	125	31	6	1	5	5	35	0	1	2	248	277	432	709	184	287	26	4	297	87	—	—	—	—	—	—
2008	22	A+ MLE	Rancho Cucamonga Quakes	—	438	417	98	22	1	23	16	90	3	7	3	235	268	458	726	223	246	21	4	314	99	—	—	—	—	—	—
2009	23	AA MLE	Arkansas Travelers	—	581	545	144	31	3	12	25	122	1	6	3	264	298	398	696	134	308	21	4	301	90	—	—	—	—	—	—
2010	24	MLB MLE	Los Angeles Angels	—	16	15	1	0	0	0	1	8	0	0	0	67	125	67	192		143	50	6	100	-46	-3	+0	+0	-13	+0	-1.5
2010	24	AAA MLE	Salt Lake Bees	—	595	553	134	24	4	28	37	166	1	3	4	242	291	452	743	210	290	28	6	322	104	—	—	—	—	—	—
2011	25	MLB MLE	Los Angeles Angels	—	573	545	137	32	1	28	19	120	5	9	4	251	283	468	751	217	274	21	3	328	108	+6	+0	-6	-10	+12	0.2
2012	26	MLB MLE	Los Angeles Angels	—	586	547	146	20	3	31	33	153	4	4	5	267	313	484	798	218	316	26	6	350	123	+16	-1	-6	-6	+13	1.5
2013	27	MLB MLE	Los Angeles Angels	—	678	626	145	31	2	33	48	184	0	5	2	232	286	446	732	214	273	27	7	321	103	+3	+0	-7	-12	+15	-0.1
2014	28	MLB MLE	Arizona Diamondbacks	—	362	331	76	14	1	14	25	89	1	2	3	230	286	405	691	175	274	25	7	299	88	-5	-1	-7	-6	+8	-1.2
2015	29	MLB MLE	Seattle Mariners	—	545	509	134	23	3	23	35	132	0	0	0	263	311	456	766	193	313	24	6	337	114	+9	+0	-7	-6	+12	0.9
2016	30	MLB MLE	Baltimore Orioles	—	667	614	151	27	1	42	50	170	3	2	0	246	306	498	804	252	278	25	7	353	125	+20	+0	-15	-7	+14	1.3
2017	31	MLB MLE	Baltimore Orioles	—	603	559	128	22	0	21	42	149	1	1	0	229	284	381	665	152	278	25	7	297	87	-9	+0	-8	-6	+13	-1.1
2018	32	MLB MLE	Baltimore Orioles	—	358	330	83	12	0	15	24	87	2	0	0	252	306	424	730	173	303	24	7	327	107	+3	+0	-4	-4	+8	0.3
2019	33	MLB MLE	Baltimore Orioles	—	31	29	5	3	0	0	2	5	0	0	0	172	226	276	502	103	208	16	6	229	41	-2	+0	+0	-1	+1	-0.2
2019	33	AAA MLE	Norfolk Tides	—	48	44	7	2	0	3	4	18	0	0	0	159	229	409	638	250	174	38	8	283	78	—	—	—	—	—	—
2005	19	ROK MLE	Orem Owlz	—	323	310	62	16	1	7	10	97	1	2	2	200	227	326	553	126	264	30	3	239	48	—	—	—	—	—	—
2005	19	ROK RAW	Orem Owlz	—	323	299	82	23	1	10	21	67	1	2	2	274	324	458	782	184	321	21	7	343	48	—	—	—	—	—	—
2006	20	A MLE	Cedar Rapids Kernels	—	482	442	80	15	0	10	30	134	3	5	5	181	238	283	521	102	230	28	6	233	44	—	—	—	—	—	—
2006	20	A RAW	Cedar Rapids Kernels	—	482	428	94	19	0	13	44	99	3	5	5	220	297	355	652	136	251	21	9	291	44	—	—	—	—	—	—
2007	21	A MLE	Cedar Rapids Kernels	—	516	482	109	21	2	11	23	133	6	10	8	226	270	346	617	120	286	26	4	267	67	—	—	—	—	—	—
2007	21	A RAW	Cedar Rapids Kernels	—	516	471	128	27	2	14	34	98	6	10	8	272	329	427	756	155	313	19	7	333	67	—	—	—	—	—	—
2008	22	A+ MLE	2 teams	—	572	542	129	28	2	28	21	125	3	8	5	238	270	452	722	214	257	22	4	310	96	—	—	—	—	—	—
2008	22	A+ RAW	2 teams	—	572	530	149	35	3	32	33	96	3	8	5	281	327	540	866	258	288	17	6	373	96	—	—	—	—	—	—
2009	23	AA MLE	Arkansas Travelers	—	581	545	144	31	3	12	25	122	1	6	3	264	298	398	696	134	315	21	4	301	90	—	—	—	—	—	—
2009	23	AA RAW	Arkansas Travelers	—	581	533	155	35	3	15	37	100	1	6	3	291	338	452	790	161	329	17	6	344	90	—	—	—	—	—	—
2010	24	AAA MLE	3 teams	—	732	681	163	29	5	34	45	208	1	6	6	239	287	446	734	207	291	28	6	316	100	—	—	—	—	—	—
2010	24	AAA RAW	3 teams	—	732	654	197	38	6	41	72	171	1	6	6	301	371	566	937	265	349	23	10	405	100	—	—	—	—	—	—
2011	25	MLB MLE	Los Angeles Angels	—	573	545	137	32	1	28	19	120	5	9	4	251	283	468	751	217	272	21	3	328	108	+6	+0	-6	-10	+12	0.2
2011	25	MLB RAW	Los Angeles Angels	—	573	539	137	31	1	29	25	120	5	9	4	254	293	477	770	223	274	21	4	334	108	+6	+0	-6	-10	+12	0.2
2012	26	MLB MLE	Los Angeles Angels	—	586	547	146	20	3	31	33	153	4	4	5	267	313	484	798	218	315	26	6	350	123	+16	-1	-6	-6	+13	1.5
2012	26	MLB RAW	Los Angeles Angels	—	586	544	146	19	3	32	36	153	4	4	5	268	318	491	809	222	316	26	6	353	123	+16	-1	-6	-6	+13	1.5
2013	27	MLB MLE	Los Angeles Angels	—	678	626	145	31	2	33	48	184	0	5	2	232	286	446	732	214	271	27	7	321	103	+3	+0	-7	-12	+15	-0.1
2013	27	MLB RAW	Los Angeles Angels	—	678	620	145	30	2	34	54	184	0	5	2	234	295	453	748	219	273	27	8	327	103	+3	+0	-7	-12	+15	-0.1
2014	28	MLB MLE	Arizona Diamondbacks	—	362	331	76	14	1	14	25	89	1	2	3	230	286	405	691	175	266	25	7	299	88	-5	-1	-7	-6	+8	-1.2
2014	28	MLB RAW	Arizona Diamondbacks	—	362	328	77	15	1	14	28	89	1	2	3	235	297	415	712	180	274	25	8	312	88	-5	-1	-7	-6	+8	-1.2
2015	29	MLB MLE	Seattle Mariners	—	545	509	134	23	3	23	35	132	0	0	0	263	311	456	766	193	313	24	6	337	114	+9	+0	-7	-6	+12	0.9
2015	29	MLB RAW	Seattle Mariners	—	545	508	133	23	3	22	36	132	0	0	0	262	311	449	759	187	313	24	7	334	114	+9	+0	-7	-6	+12	0.9
2016	30	MLB MLE	Baltimore Orioles	—	667	614	151	27	1	42	50	170	3	2	0	246	306	498	804	252	271	25	7	353	125	+20	+0	-15	-7	+14	1.3
2016	30	MLB RAW	Baltimore Orioles	—	667	613	157	27	1	47	51	170	3	2	0	256	316	533	850	277	278	25	8	369	125	+20	+0	-15	-7	+14	1.3
2017	31	MLB MLE	Baltimore Orioles	—	603	559	128	22	0	21	42	149	1	1	0	229	284	381	665	152	274	25	7	297	87	-9	+0	-8	-6	+13	-1.1
2017	31	MLB RAW	Baltimore Orioles	—	603	559	131	22	0	23	42	149	1	1	0	234	289	397	686	163	278	25	7	305	87	-9	+0	-8	-6	+13	-1.1
2018	32	MLB MLE	Baltimore Orioles	—	358	330	83	12	0	15	24	87	2	0	0	252	306	424	730	173	296	24	7	327	107	+3	+0	-4	-4	+8	0.3
2018	32	MLB RAW	Baltimore Orioles	—	358	330	86	12	0	17	24	87	2	0	0	261	315	452	766	191	303	24	7	337	107	+3	+0	-4	-4	+8	0.3
2019	33	AAA MLE	2 teams	—	79	73	12	5	0	3	6	23	0	0	0	164	228	356	584	192	191	29	8	262	63	—	—	—	—	—	—
2019	33	AAA RAW	2 teams	—	79	71	14	6	0	4	8	20	0	0	0	197	278	451	729	254	213	25	10	319	63	—	—	—	—	—	—
2005	19	ROK MLE	Orem Owlz	—	323	309	62	16	1	7	10	97	1	2	2	201	227	327	554	126	257	30	3	239	48	—	—	—	—	—	—
2006	20	A MLE	Cedar Rapids Kernels	—	482	446	80	15	0	10	30	134	3	5	5	179	238	280	518	101	225	28	6	233	44	—	—	—	—	—	—
2007	21	A MLE	Cedar Rapids Kernels	—	516	482	109	21	2	11	23	133	6	10	8	226	270	346	617	120	280	26	4	267	67	—	—	—	—	—	—
2008	22	A+ MLE	2 teams	—	572	543	129	28	2	28	21	125	3	8	5	238	270	451	722	214	256	22	4	310	96	—	—	—	—	—	—
2009	23	AA MLE	Arkansas Travelers	—	581	550	144	31	3	12	25	122	1	6	3	262	298	395	692	133	308	21	4	301	90	—	—	—	—	—	—
2010	24	AAA MLE	3 teams	—	732	680	163	29	5	34	45	208	1	6	6	240	287	447	735	207	286	28	6	316	100	—	—	—	—	—	—
2011	25	MLB MLE	Los Angeles Angels	—	573	544	137	32	1	28	19	120	5	9	4	252	283	469	752	217	274	21	3	328	108	—	—	—	—	—	—
2012	26	MLB MLE	Los Angeles Angels	—	586	544	146	20	3	31	33	153	4	4	5	268	313	487	800	219	316	26	6	350	123	—	—	—	—	—	—
2013	27	MLB MLE	Los Angeles Angels	—	678	625	145	31	2	33	48	184	0	5	2	232	286	446	733	214	273	27	7	321	103	—	—	—	—	—	—
2014	28	MLB MLE	Arizona Diamondbacks	—	362	333	76	14	1	14	25	89	1	2	3	228	286	402	688	174	274	25	7	299	88	—	—	—	—	—	—
2015	29	MLB MLE	Seattle Mariners	—	545	505	134	23	3	23	35	132	0	0	0	265	311	459	770	194	313	24	6	337	114	—	—	—	—	—	—
2016	30	MLB MLE	Baltimore Orioles	—	667	609	151	27	1	42	50	170	3	2	0	248	306	502	808	255	278	25	7	353	125	—	—	—	—	—	—
2017	31	MLB MLE	Baltimore Orioles	—	603	555	128	22	0	21	42	149	1	1	0	231	284	384	668	153	278	25	7	297	87	—	—	—	—	—	—
2018	32	MLB MLE	Baltimore Orioles	—	358	329	83	12	0	15	24	87	2	0	0	252	306	426	732	173	303	24	7	327	107	—	—	—	—	—	—
2019	33	AAA MLE	2 teams	—	79	73	12	5	0	3	6	23	0	0	0	164	228	356	584	192	187	29	8	262	63	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4419	4085	1018	182	11	218	299	1097	16	23	14	249	303	459	762	210	287	25	7	334	95	+63	-1	-59	-72	+96	2.7
/ 162G	—	A+C		—	650	601	150	27	2	32	44	161	2	3	2	250	303	461	764	211	287	25	7	334	95	+9	-0	-9	-11	+14	0.4
Career	—	MLE		—	7657	7136	1699	326	24	312	436	1926	31	60	43	238	285	422	707	184	280	25	6	309	95	+63	-1	-59	-72	+96	2.7
/ 162G	—	MLE		—	650	606	144	28	2	26	37	163	3	5	4	238	285	419	704	182	280	25	6	309	95	+9	-0	-9	-11	+14	0.4

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.

2019 AAANorfolk Tides · 48 PAwOBA .368 → .283 (−85)K% 31.2% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷0.973	×1.200	—	—	38.52%
BB% (unintentional) /PA	12.50%	÷1.103	×0.690	—	×0.942	7.37%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	7.41%	÷1.033	×0.930	—	×0.942	6.28%
Doubles /BIP	11.11%	÷0.990	×0.830	—	×0.942	8.78%
Triples /BIP	0.00%	÷0.954	×0.970	—	×0.942	0.00%
Home runs /BIP	14.81%	÷0.889	×0.840	—	×0.942	13.19%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 107, 2B 98, 3B 91, K 95, BB 121 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .368 → .283; ISO .357 → .299; BABIP .217 → .174. 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 AAASalt Lake Bees · 595 PAwOBA .395 → .322 (−74)K% 21.2% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.18%	÷0.980	×1.290	—	—	27.88%
BB% (unintentional) /PA	8.40%	÷1.016	×0.710	—	×1.048	6.15%
HBP% /PA	0.17%	—	×0.980	—	×1.048	0.17%
Singles /BIP	22.17%	÷1.060	×0.900	×1.014	×1.048	20.01%
Doubles /BIP	7.14%	÷0.999	×0.810	×1.014	×1.048	6.15%
Triples /BIP	1.23%	÷1.035	×0.810	×1.014	×1.048	1.02%
Home runs /BIP	8.87%	÷1.011	×0.780	—	×1.048	7.17%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 112, 2B 100, 3B 107, K 96, BB 103 — 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 ×1.014.

Result: wOBA .395 → .322; ISO .276 → .219; BABIP .332 → .290. 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 AAArkansas Travelers · 581 PAwOBA .338 → .301 (−37)K% 17.2% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.21%	÷1.000	×1.220	—	—	21.00%
BB% (unintentional) /PA	6.02%	÷1.000	×0.700	—	×1.027	4.33%
HBP% /PA	0.17%	—	×0.870	—	×1.027	0.15%
Singles /BIP	23.56%	÷1.000	×0.920	×1.019	×1.027	22.67%
Doubles /BIP	8.08%	÷1.000	×0.840	×1.019	×1.027	7.10%
Triples /BIP	0.69%	÷1.000	×0.940	×1.019	×1.027	0.68%
Home runs /BIP	3.46%	÷1.000	×0.800	—	×1.027	2.85%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.019.

Result: wOBA .338 → .301; ISO .161 → .138; BABIP .329 → .308. 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 A+Rancho Cucamonga Quakes · 438 PAwOBA .369 → .314 (−55)K% 15.3% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.30%	÷1.000	×1.340	—	—	20.50%
BB% (unintentional) /PA	5.02%	÷1.000	×0.710	—	×1.012	3.61%
HBP% /PA	0.68%	—	×0.790	—	×1.012	0.55%
Singles /BIP	17.35%	÷1.000	×0.910	×0.990	×1.012	15.82%
Doubles /BIP	8.24%	÷1.000	×0.820	×0.990	×1.012	6.77%
Triples /BIP	0.59%	÷1.000	×0.760	×0.990	×1.012	0.45%
Home runs /BIP	7.65%	÷1.000	×0.920	—	×1.012	7.12%

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 ×0.990.

Result: wOBA .369 → .314; ISO .270 → .235; BABIP .282 → .246. 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 AAArkansas Travelers · 134 PAwOBA .339 → .297 (−41)K% 21.6% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.64%	÷1.000	×1.220	—	—	26.40%
BB% (unintentional) /PA	5.22%	÷1.000	×0.700	—	×1.042	3.81%
HBP% /PA	0.00%	—	×0.870	—	×1.042	0.00%
Singles /BIP	21.28%	÷1.000	×0.920	×0.995	×1.042	20.29%
Doubles /BIP	7.45%	÷1.000	×0.840	×0.995	×1.042	6.48%
Triples /BIP	1.06%	÷1.000	×0.940	×0.995	×1.042	1.04%
Home runs /BIP	6.38%	÷1.000	×0.800	—	×1.042	5.32%

Factors used: league row TL. 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 ×0.995.

Result: wOBA .339 → .297; ISO .220 → .186; BABIP .311 → .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).

2007 ACedar Rapids Kernels · 516 PAwOBA .327 → .267 (−60)K% 19.0% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.99%	÷1.000	×1.360	—	—	25.83%
BB% (unintentional) /PA	6.40%	÷1.000	×0.690	—	×1.015	4.48%
HBP% /PA	1.16%	—	×0.780	—	×1.015	0.92%
Singles /BIP	22.79%	÷1.000	×0.920	×0.987	×1.015	21.01%
Doubles /BIP	7.24%	÷1.000	×0.830	×0.987	×1.015	6.02%
Triples /BIP	0.54%	÷1.000	×0.910	×0.987	×1.015	0.49%
Home runs /BIP	3.75%	÷1.000	×0.800	—	×1.015	3.05%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .327 → .267; ISO .155 → .122; BABIP .313 → .280. 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).

2006 ACedar Rapids Kernels · 482 PAwOBA .287 → .233 (−54)K% 20.5% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.54%	÷1.000	×1.360	—	—	27.93%
BB% (unintentional) /PA	8.92%	÷1.000	×0.690	—	×1.030	6.34%
HBP% /PA	0.62%	—	×0.780	—	×1.030	0.50%
Singles /BIP	18.84%	÷1.000	×0.920	×0.976	×1.030	17.43%
Doubles /BIP	5.78%	÷1.000	×0.830	×0.976	×1.030	4.82%
Triples /BIP	0.00%	÷1.000	×0.910	×0.976	×1.030	0.00%
Home runs /BIP	3.95%	÷1.000	×0.800	—	×1.030	3.26%

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 ×0.976.

Result: wOBA .287 → .233; ISO .136 → .107; BABIP .251 → .225. 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).

2005 ROKOrem Owlz · 323 PAwOBA .331 → .239 (−92)K% 20.7% → 29.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.74%	÷1.000	×1.440	—	—	29.87%
BB% (unintentional) /PA	5.26%	÷1.000	×0.610	—	×1.008	3.23%
HBP% /PA	0.31%	—	×0.720	—	×1.008	0.22%
Singles /BIP	20.69%	÷1.000	×0.820	×1.022	×1.008	17.47%
Doubles /BIP	9.91%	÷1.000	×0.720	×1.022	×1.008	7.35%
Triples /BIP	0.43%	÷1.000	×0.720	×1.022	×1.008	0.32%
Home runs /BIP	4.31%	÷1.000	×0.750	—	×1.008	3.26%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .331 → .239; ISO .184 → .128; BABIP .321 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .