Ian Desmond

PosSS

B/TR/R

Born1985-09-20

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2017	31	MLBCOL	373	.274/.330/.375	7	15	89	-0.6
2018	32	MLBCOL	619	.236/.309/.422	22	20	92	-1.2
2019	33	MLBCOL	482	.255/.311/.479	20	3	105	0.6
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 -1.2

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Avg EV59

Speed50

xwOBA47

Barrel%41

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	A+	Potomac Nationals	—	248	219	56	13	3	3	21	53	2	13	6	256	326	384	710	128	323	21	8	312	63	—	—	—	—	—	—
2005	19	A	Savannah Sand Gnats	—	321	296	73	10	2	4	13	60	6	20	6	247	291	334	626	88	296	19	4	279	47	—	—	—	—	—	—
2006	20	AA	Harrisburg Senators	—	133	121	22	4	1	0	5	35	0	4	1	182	213	231	444	50	256	26	4	193	11	—	—	—	—	—	—
2006	20	A+	Potomac Nationals	—	408	365	89	20	2	9	29	79	9	14	8	244	315	384	699	140	286	19	7	311	58	—	—	—	—	—	—
2007	21	A+	Potomac Nationals	—	540	458	121	30	4	13	57	99	11	27	11	264	357	432	789	168	309	18	11	346	76	—	—	—	—	—	—
2008	22	AA	Harrisburg Senators	—	367	323	81	14	0	12	31	78	2	12	8	251	318	406	723	155	294	21	8	316	75	—	—	—	—	—	—
2009	23	MLB	Washington Nationals	—	89	82	23	7	2	4	5	14	0	1	0	280	322	561	883	280	292	16	6	372	138	+4	+0	-2	+5	+2	0.9
2009	23	AAA	Syracuse Chiefs	—	206	178	63	12	2	1	20	31	3	8	1	354	426	461	886	107	425	15	10	390	137	—	—	—	—	—	—
2009	23	AA	Harrisburg Senators	—	189	170	52	12	1	6	16	40	2	13	4	306	372	494	866	188	371	21	8	381	105	—	—	—	—	—	—
2010	24	MLB	Washington Nationals	—	574	525	141	27	4	10	28	109	5	17	5	269	312	392	704	124	317	19	5	306	92	-6	+1	-2	+6	+12	1.2
2011	25	MLB	Washington Nationals	—	639	584	148	27	5	8	35	139	4	25	10	253	300	358	658	104	317	22	5	289	81	-14	+1	+2	+7	+14	1.0
2012	26	MLB	Washington Nationals	—	547	513	150	33	2	25	30	113	3	21	6	292	335	511	846	218	332	21	5	370	135	+23	+2	+7	+6	+12	5.0
2013	27	MLB	Washington Nationals	—	655	600	168	38	3	20	43	145	5	21	6	280	333	453	787	173	336	22	7	345	117	+14	+2	+7	+7	+14	4.4
2014	28	MLB	Washington Nationals	—	648	593	151	26	3	24	46	183	6	24	5	255	315	430	745	175	326	28	7	329	109	+7	+3	+8	+7	+14	4.0
2015	29	MLB	Washington Nationals	—	641	583	136	27	2	19	45	187	3	13	5	233	292	384	676	151	307	29	7	297	88	-9	+1	+1	+7	+14	1.3
2016	30	MLB	Texas Rangers	—	677	625	178	29	3	22	44	160	5	21	6	285	337	446	783	162	350	24	6	346	112	+10	+2	+4	+2	+15	3.3
2017	31	MLB	Colorado Rockies	—	373	339	93	11	1	7	24	87	4	15	4	274	330	375	704	100	345	23	6	314	89	-5	+1	-7	-4	+8	-0.6
2018	32	MLB	Colorado Rockies	—	619	555	131	21	8	22	53	146	6	20	6	236	309	422	731	186	279	24	9	322	92	-6	+2	-9	-11	+13	-1.2
2019	33	MLB	Colorado Rockies	—	482	443	113	31	4	20	34	119	2	3	3	255	311	479	790	223	304	25	7	343	105	+3	-1	-9	+2	+10	0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5944	5442	1432	277	37	181	387	1402	43	181	56	263	317	427	745	164	321	24	7	327	107	+51	+14	+0	+34	+129	23.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	A+ MLE	Potomac Nationals	—	248	226	51	11	2	3	14	75	2	13	6	226	277	332	609	106	312	30	6	261	63	—	—	—	—	—	—
2005	19	A MLE	Savannah Sand Gnats	—	321	301	66	8	2	3	9	80	6	20	6	219	256	289	545	70	281	25	3	237	47	—	—	—	—	—	—
2006	20	AA MLE	Harrisburg Senators	—	133	123	23	4	1	0	4	43	0	4	1	187	213	236	448	49	260	32	3	184	11	—	—	—	—	—	—
2006	20	A+ MLE	Potomac Nationals	—	408	375	79	16	2	8	19	112	9	14	8	211	266	328	594	117	265	27	5	254	58	—	—	—	—	—	—
2007	21	A+ MLE	Potomac Nationals	—	540	483	107	24	3	12	36	140	11	27	11	222	291	358	649	137	276	26	7	281	76	—	—	—	—	—	—
2008	22	AA MLE	Harrisburg Senators	—	367	338	80	13	0	10	19	95	2	12	8	237	281	364	645	127	289	26	5	279	75	—	—	—	—	—	—
2009	23	MLB MLE	Washington Nationals	—	89	82	23	7	2	4	5	14	0	1	0	280	322	561	883	280	292	16	6	372	138	+4	+0	-2	+5	+2	0.9
2009	23	AAA MLE	Syracuse Chiefs	—	206	185	65	11	2	1	14	37	3	8	1	351	406	449	855	97	426	18	7	370	137	—	—	—	—	—	—
2009	23	AA MLE	Harrisburg Senators	—	189	176	48	10	1	5	10	49	2	13	4	273	319	426	745	153	353	26	5	323	105	—	—	—	—	—	—
2010	24	MLB MLE	Washington Nationals	—	574	528	142	27	5	10	25	109	5	17	5	269	308	396	704	127	317	19	4	304	92	-6	+1	-2	+6	+12	1.2
2011	25	MLB MLE	Washington Nationals	—	639	586	149	27	6	8	33	139	4	25	10	254	299	362	660	108	317	22	5	288	81	-14	+1	+2	+7	+14	1.0
2012	26	MLB MLE	Washington Nationals	—	547	514	149	32	2	25	29	113	3	21	6	290	332	506	837	216	332	21	5	368	135	+23	+2	+7	+6	+12	5.0
2013	27	MLB MLE	Washington Nationals	—	655	603	168	37	4	20	40	145	5	21	6	279	329	453	781	174	336	22	6	342	117	+14	+2	+7	+7	+14	4.4
2014	28	MLB MLE	Washington Nationals	—	648	593	152	26	4	24	46	183	6	24	5	256	316	435	751	179	326	28	7	330	109	+7	+3	+8	+7	+14	4.0
2015	29	MLB MLE	Washington Nationals	—	641	583	136	27	2	19	45	187	3	13	5	233	292	384	676	151	307	29	7	298	88	-9	+1	+1	+7	+14	1.3
2016	30	MLB MLE	Texas Rangers	—	677	627	174	27	3	21	42	160	5	21	6	278	328	431	759	153	350	24	6	334	112	+10	+2	+4	+2	+15	3.3
2017	31	MLB MLE	Colorado Rockies	—	373	340	90	11	1	6	23	87	4	15	4	265	319	356	675	91	345	23	6	300	89	-5	+1	-7	-4	+8	-0.6
2018	32	MLB MLE	Colorado Rockies	—	619	555	123	20	6	20	53	146	6	20	6	222	296	387	684	166	279	24	9	304	92	-6	+2	-9	-11	+13	-1.2
2019	33	MLB MLE	Colorado Rockies	—	482	444	107	30	3	18	33	119	2	3	3	241	296	444	740	203	304	25	7	323	105	+3	-1	-9	+2	+10	0.6
2005	19	A MLE	2 teams	—	569	527	117	19	4	6	23	155	8	33	12	222	265	307	573	85	302	27	4	247	54	—	—	—	—	—	—
2005	19	A RAW	2 teams	—	569	515	129	23	5	7	34	113	8	33	12	250	306	355	662	105	307	20	6	293	54	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	541	499	101	20	3	8	22	155	9	18	9	202	249	303	552	100	274	29	4	237	46	—	—	—	—	—	—
2006	20	A+ RAW	2 teams	—	541	486	111	24	3	9	34	114	9	18	9	228	291	346	636	117	279	21	6	282	46	—	—	—	—	—	—
2007	21	A+ MLE	Potomac Nationals	—	540	483	107	24	3	12	36	140	11	27	11	222	291	358	649	137	284	26	7	281	76	—	—	—	—	—	—
2007	21	A+ RAW	Potomac Nationals	—	540	458	121	30	4	13	57	99	11	27	11	264	357	432	789	168	309	18	11	346	76	—	—	—	—	—	—
2008	22	AA MLE	Harrisburg Senators	—	367	338	80	13	0	10	19	95	2	12	8	237	281	364	645	127	298	26	5	279	75	—	—	—	—	—	—
2008	22	AA RAW	Harrisburg Senators	—	367	323	81	14	0	12	31	78	2	12	8	251	318	406	723	155	294	21	8	316	75	—	—	—	—	—	—
2009	23	AAA MLE	3 teams	—	484	443	137	29	5	10	29	100	5	22	5	309	358	465	824	156	380	21	6	352	124	—	—	—	—	—	—
2009	23	AAA RAW	3 teams	—	484	430	138	31	5	11	41	85	5	22	5	321	386	493	879	172	379	18	8	383	124	—	—	—	—	—	—
2010	24	MLB MLE	Washington Nationals	—	574	528	142	27	5	10	25	109	5	17	5	269	308	396	704	127	317	19	4	304	92	-6	+1	-2	+6	+12	1.2
2010	24	MLB RAW	Washington Nationals	—	574	525	141	27	4	10	28	109	5	17	5	269	312	392	704	124	317	19	5	306	92	-6	+1	-2	+6	+12	1.2
2011	25	MLB MLE	Washington Nationals	—	639	586	149	27	6	8	33	139	4	25	10	254	299	362	660	108	318	22	5	288	81	-14	+1	+2	+7	+14	1.0
2011	25	MLB RAW	Washington Nationals	—	639	584	148	27	5	8	35	139	4	25	10	253	300	358	658	104	317	22	5	289	81	-14	+1	+2	+7	+14	1.0
2012	26	MLB MLE	Washington Nationals	—	547	514	149	32	2	25	29	113	3	21	6	290	332	506	837	216	329	21	5	368	135	+23	+2	+7	+6	+12	5.0
2012	26	MLB RAW	Washington Nationals	—	547	513	150	33	2	25	30	113	3	21	6	292	335	511	846	218	332	21	5	370	135	+23	+2	+7	+6	+12	5.0
2013	27	MLB MLE	Washington Nationals	—	655	603	168	37	4	20	40	145	5	21	6	279	329	453	781	174	334	22	6	342	117	+14	+2	+7	+7	+14	4.4
2013	27	MLB RAW	Washington Nationals	—	655	600	168	38	3	20	43	145	5	21	6	280	333	453	787	173	336	22	7	345	117	+14	+2	+7	+7	+14	4.4
2014	28	MLB MLE	Washington Nationals	—	648	593	152	26	4	24	46	183	6	24	5	256	316	435	751	179	329	28	7	330	109	+7	+3	+8	+7	+14	4.0
2014	28	MLB RAW	Washington Nationals	—	648	593	151	26	3	24	46	183	6	24	5	255	315	430	745	175	326	28	7	329	109	+7	+3	+8	+7	+14	4.0
2015	29	MLB MLE	Washington Nationals	—	641	583	136	27	2	19	45	187	3	13	5	233	292	384	676	151	307	29	7	298	88	-9	+1	+1	+7	+14	1.3
2015	29	MLB RAW	Washington Nationals	—	641	583	136	27	2	19	45	187	3	13	5	233	292	384	676	151	307	29	7	297	88	-9	+1	+1	+7	+14	1.3
2016	30	MLB MLE	Texas Rangers	—	677	627	174	27	3	21	42	160	5	21	6	278	328	431	759	153	341	24	6	334	112	+10	+2	+4	+2	+15	3.3
2016	30	MLB RAW	Texas Rangers	—	677	625	178	29	3	22	44	160	5	21	6	285	337	446	783	162	350	24	6	346	112	+10	+2	+4	+2	+15	3.3
2017	31	MLB MLE	Colorado Rockies	—	373	340	90	11	1	6	23	87	4	15	4	265	319	356	675	91	335	23	6	300	89	-5	+1	-7	-4	+8	-0.6
2017	31	MLB RAW	Colorado Rockies	—	373	339	93	11	1	7	24	87	4	15	4	274	330	375	704	100	345	23	6	314	89	-5	+1	-7	-4	+8	-0.6
2018	32	MLB MLE	Colorado Rockies	—	619	555	123	20	6	20	53	146	6	20	6	222	296	387	684	166	262	24	9	304	92	-6	+2	-9	-11	+13	-1.2
2018	32	MLB RAW	Colorado Rockies	—	619	555	131	21	8	22	53	146	6	20	6	236	309	422	731	186	279	24	9	322	92	-6	+2	-9	-11	+13	-1.2
2019	33	MLB MLE	Colorado Rockies	—	482	444	107	30	3	18	33	119	2	3	3	241	296	444	740	203	288	25	7	323	105	+3	-1	-9	+2	+10	0.6
2019	33	MLB RAW	Colorado Rockies	—	482	443	113	31	4	20	34	119	2	3	3	255	311	479	790	223	304	25	7	343	105	+3	-1	-9	+2	+10	0.6
2005	19	A MLE	2 teams	—	569	533	117	19	4	6	23	155	8	33	12	220	265	304	569	84	295	27	4	247	54	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	541	505	101	20	3	8	22	155	9	18	9	200	249	299	548	99	264	29	4	237	46	—	—	—	—	—	—
2007	21	A+ MLE	Potomac Nationals	—	540	488	107	24	3	12	36	140	11	27	11	219	291	355	645	135	276	26	7	281	76	—	—	—	—	—	—
2008	22	AA MLE	Harrisburg Senators	—	367	343	80	13	0	10	19	95	2	12	8	233	281	359	640	125	289	26	5	279	75	—	—	—	—	—	—
2009	23	AAA MLE	3 teams	—	484	447	137	29	5	10	29	100	5	22	5	306	358	461	819	154	373	21	6	352	124	—	—	—	—	—	—
2010	24	MLB MLE	Washington Nationals	—	574	539	142	27	5	10	25	109	5	17	5	263	308	388	696	124	317	19	4	304	92	—	—	—	—	—	—
2011	25	MLB MLE	Washington Nationals	—	639	597	149	27	6	8	33	139	4	25	10	250	299	355	654	106	317	22	5	288	81	—	—	—	—	—	—
2012	26	MLB MLE	Washington Nationals	—	547	510	149	32	2	25	29	113	3	21	6	292	332	510	841	218	332	21	5	368	135	—	—	—	—	—	—
2013	27	MLB MLE	Washington Nationals	—	655	605	168	37	4	20	40	145	5	21	6	278	329	451	780	174	336	22	6	342	117	—	—	—	—	—	—
2014	28	MLB MLE	Washington Nationals	—	648	591	152	26	4	24	46	183	6	24	5	257	316	437	753	179	326	28	7	330	109	—	—	—	—	—	—
2015	29	MLB MLE	Washington Nationals	—	641	588	136	27	2	19	45	187	3	13	5	231	292	381	673	150	307	29	7	298	88	—	—	—	—	—	—
2016	30	MLB MLE	Texas Rangers	—	677	625	174	27	3	21	42	160	5	21	6	278	328	432	760	154	350	24	6	334	112	—	—	—	—	—	—
2017	31	MLB MLE	Colorado Rockies	—	373	343	90	11	1	6	23	87	4	15	4	262	319	353	672	90	345	23	6	300	89	—	—	—	—	—	—
2018	32	MLB MLE	Colorado Rockies	—	619	555	123	20	6	20	53	146	6	20	6	222	296	387	684	166	279	24	9	304	92	—	—	—	—	—	—
2019	33	MLB MLE	Colorado Rockies	—	482	444	107	30	3	18	33	119	2	3	3	241	296	444	740	203	304	25	7	323	105	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5944	5442	1432	277	37	181	387	1402	43	181	56	263	317	427	745	164	321	24	7	327	94	+51	+14	+0	+34	+129	23.2
/ 162G	—	A+C		—	650	595	156	30	4	20	42	153	5	20	6	262	316	427	743	165	319	24	6	327	94	+6	+2	+0	+4	+14	2.5
Career	—	MLE		—	8356	7663	1932	369	51	217	498	2033	78	292	101	252	304	399	703	146	314	24	6	307	94	+51	+14	+0	+34	+129	23.2
/ 162G	—	MLE		—	650	596	151	29	4	17	39	158	6	23	8	253	306	401	707	148	315	24	6	307	94	+6	+2	+0	+4	+14	2.5

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.

2009 AAASyracuse Chiefs · 206 PAwOBA .379 → .370 (−9)K% 15.0% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.05%	÷1.000	×1.200	—	—	18.06%
BB% (unintentional) /PA	9.22%	÷1.000	×0.690	—	×1.048	6.67%
HBP% /PA	1.46%	—	×0.940	—	×1.048	1.43%
Singles /BIP	32.65%	÷1.000	×0.930	×1.050	×1.048	33.42%
Doubles /BIP	8.16%	÷1.000	×0.830	×1.050	×1.048	7.46%
Triples /BIP	1.36%	÷1.000	×0.970	×1.050	×1.048	1.45%
Home runs /BIP	0.68%	÷1.000	×0.840	—	×1.048	0.60%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.

Result: wOBA .379 → .370; ISO .107 → .104; BABIP .425 → .426. 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 AAHarrisburg Senators · 189 PAwOBA .367 → .323 (−44)K% 21.2% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.16%	÷1.000	×1.220	—	—	25.82%
BB% (unintentional) /PA	7.41%	÷1.000	×0.700	—	×1.012	5.25%
HBP% /PA	1.06%	—	×0.850	—	×1.012	0.91%
Singles /BIP	25.38%	÷1.000	×0.970	×1.010	×1.012	25.17%
Doubles /BIP	9.23%	÷1.000	×0.860	×1.010	×1.012	8.11%
Triples /BIP	0.77%	÷1.000	×0.950	×1.010	×1.012	0.75%
Home runs /BIP	4.62%	÷1.000	×0.780	—	×1.012	3.64%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.010.

Result: wOBA .367 → .323; ISO .188 → .155; BABIP .371 → .353. 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 AAHarrisburg Senators · 367 PAwOBA .305 → .279 (−26)K% 21.3% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.25%	÷1.000	×1.220	—	—	25.93%
BB% (unintentional) /PA	7.36%	÷1.000	×0.700	—	×1.027	5.29%
HBP% /PA	0.54%	—	×0.850	—	×1.027	0.48%
Singles /BIP	22.45%	÷1.000	×0.970	×1.020	×1.027	22.80%
Doubles /BIP	5.71%	÷1.000	×0.860	×1.020	×1.027	5.15%
Triples /BIP	0.00%	÷1.000	×0.950	×1.020	×1.027	0.00%
Home runs /BIP	4.90%	÷1.000	×0.780	—	×1.027	3.92%

Factors used: league row EL. 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 ×1.020.

Result: wOBA .305 → .279; ISO .155 → .131; BABIP .294 → .289. 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 A+Potomac Nationals · 540 PAwOBA .340 → .281 (−59)K% 18.3% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.33%	÷1.000	×1.420	—	—	26.03%
BB% (unintentional) /PA	10.56%	÷1.000	×0.630	—	×1.012	6.73%
HBP% /PA	2.04%	—	×0.860	—	×1.012	1.77%
Singles /BIP	20.61%	÷1.000	×0.940	×0.981	×1.012	19.23%
Doubles /BIP	8.36%	÷1.000	×0.830	×0.981	×1.012	6.89%
Triples /BIP	1.11%	÷1.000	×0.800	×0.981	×1.012	0.88%
Home runs /BIP	3.62%	÷1.000	×0.900	—	×1.012	3.30%

Factors used: league row CAR. 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 ×0.981.

Result: wOBA .340 → .281; ISO .168 → .143; BABIP .309 → .276. 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 A+Potomac Nationals · 408 PAwOBA .305 → .254 (−51)K% 19.4% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.36%	÷1.000	×1.420	—	—	27.50%
BB% (unintentional) /PA	7.11%	÷1.000	×0.630	—	×1.027	4.60%
HBP% /PA	2.21%	—	×0.860	—	×1.027	1.95%
Singles /BIP	20.28%	÷1.000	×0.940	×0.997	×1.027	19.51%
Doubles /BIP	6.99%	÷1.000	×0.830	×0.997	×1.027	5.94%
Triples /BIP	0.70%	÷1.000	×0.800	×0.997	×1.027	0.57%
Home runs /BIP	3.15%	÷1.000	×0.900	—	×1.027	2.91%

Factors used: league row CAR. 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 ×0.997.

Result: wOBA .305 → .254; ISO .140 → .117; BABIP .286 → .265. 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 AAHarrisburg Senators · 133 PAwOBA .188 → .184 (−4)K% 26.3% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷1.000	×1.220	—	—	32.11%
BB% (unintentional) /PA	3.76%	÷1.000	×0.700	—	×1.050	2.76%
HBP% /PA	0.00%	—	×0.850	—	×1.050	0.00%
Singles /BIP	19.77%	÷1.000	×0.970	×1.021	×1.050	20.55%
Doubles /BIP	4.65%	÷1.000	×0.860	×1.021	×1.050	4.29%
Triples /BIP	1.16%	÷1.000	×0.950	×1.021	×1.050	1.18%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.050	0.00%

Factors used: league row EL. 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 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .188 → .184; ISO .050 → .048; BABIP .256 → .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).

2005 ASavannah Sand Gnats · 321 PAwOBA .272 → .237 (−35)K% 18.7% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.69%	÷1.000	×1.340	—	—	25.05%
BB% (unintentional) /PA	4.05%	÷1.000	×0.660	—	×1.030	2.75%
HBP% /PA	1.87%	—	×0.770	—	×1.030	1.48%
Singles /BIP	24.15%	÷1.000	×0.920	×1.020	×1.030	23.35%
Doubles /BIP	4.24%	÷1.000	×0.820	×1.020	×1.030	3.65%
Triples /BIP	0.85%	÷1.000	×0.940	×1.020	×1.030	0.84%
Home runs /BIP	1.69%	÷1.000	×0.820	—	×1.030	1.43%

Factors used: league row SAL. 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 ×1.020.

Result: wOBA .272 → .237; ISO .088 → .074; BABIP .296 → .281. 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 A+Potomac Nationals · 248 PAwOBA .305 → .261 (−44)K% 21.4% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.37%	÷1.000	×1.420	—	—	30.35%
BB% (unintentional) /PA	8.47%	÷1.000	×0.630	—	×1.042	5.56%
HBP% /PA	0.81%	—	×0.860	—	×1.042	0.72%
Singles /BIP	22.29%	÷1.000	×0.940	×1.025	×1.042	22.38%
Doubles /BIP	7.83%	÷1.000	×0.830	×1.025	×1.042	6.94%
Triples /BIP	1.81%	÷1.000	×0.800	×1.025	×1.042	1.54%
Home runs /BIP	1.81%	÷1.000	×0.900	—	×1.042	1.69%

Factors used: league row CAR. 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 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .305 → .261; ISO .128 → .108; BABIP .323 → .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).