Colby Rasmus

PosCF

B/TL/L

Born1986-08-11

Age (2027)40

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	29	MLBHOU	417	.206/.289/.355	15	4	81	0.1
2017	30	MLBTB	129	.281/.320/.579	9	1	141	0.8
2018	31	AA/A+2 orgs	57	.275/.339/.490	2	0	60	—	.226/.268/.415
2018	31	MLBBAL	49	.133/.204/.222	1	0	19	-0.5
2019	32	No MLB games played
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 0.3

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Barrel%61

xwOBA55

Avg EV41

Speed17

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	18	ROK	Johnson City Cardinals	—	244	216	64	16	5	7	21	73	3	13	3	296	367	514	881	218	410	30	9	380	55	—	—	—	—	—	—
2006	19	A+	Palm Beach Cardinals	—	225	193	49	4	5	5	27	35	3	11	3	254	354	404	758	150	284	16	12	339	77	—	—	—	—	—	—
2006	19	A	Swing of the Quad Cities	—	341	303	94	22	3	11	29	55	3	17	5	310	376	512	888	201	346	16	9	384	97	—	—	—	—	—	—
2007	20	AA	Springfield Cardinals	—	556	472	130	37	3	29	70	108	12	18	3	275	383	551	934	275	300	19	13	406	111	—	—	—	—	—	—
2008	21	AAA	Memphis Redbirds	—	387	331	83	15	0	11	49	72	1	15	3	251	349	396	745	145	287	19	13	332	68	—	—	—	—	—	—
2009	22	MLB	St. Louis Cardinals	—	520	474	119	22	2	16	36	95	3	3	1	251	308	407	715	156	282	18	7	315	96	-2	+0	+11	+2	+11	2.3
2010	23	MLB	St. Louis Cardinals	—	534	464	128	28	3	23	63	148	1	12	8	276	364	498	861	222	354	28	12	375	136	+23	-1	-4	+2	+12	3.2
2011	24	MLB	Toronto Blue Jays	—	526	471	106	24	6	14	50	116	0	5	2	225	299	391	690	166	267	22	10	305	90	-6	+0	-7	+2	+11	0.1
2012	25	MLB	Toronto Blue Jays	—	625	565	126	21	5	23	47	149	7	4	3	223	291	400	691	177	259	24	8	305	88	-9	-0	+4	+2	+14	1.1
2013	26	MLB	Toronto Blue Jays	—	458	417	115	26	1	22	37	135	3	0	1	276	339	501	840	225	356	29	8	368	135	+19	-0	+1	+2	+10	3.2
2014	27	MLB	Toronto Blue Jays	—	376	346	78	21	1	18	29	124	1	4	0	225	287	448	735	223	294	33	8	323	102	+1	+1	-2	+1	+8	1.0
2014	27	AAA	Buffalo Bisons	—	24	23	3	0	0	0	1	9	0	0	0	130	167	130	297		214	38	4	142	-41	—	—	—	—	—	—
2015	28	MLB	Houston Astros	—	485	432	103	23	2	25	47	154	2	2	1	238	316	475	791	236	305	32	10	344	119	+11	+0	-4	-5	+11	1.2
2016	29	MLB	Houston Astros	—	417	369	76	10	0	15	43	121	0	4	1	206	289	355	644	149	257	29	10	288	81	-9	+0	+5	-4	+9	0.1
2017	30	MLB	Tampa Bay Rays	—	129	121	34	7	1	9	7	45	0	1	0	281	320	579	899	298	368	35	5	384	141	+6	+0	+0	-2	+3	0.8
2017	30	AA	Montgomery Biscuits	—	23	20	2	1	0	1	2	7	0	0	0	100	182	300	482	200	77	30	9	207	-7	—	—	—	—	—	—
2018	31	MLB	Baltimore Orioles	—	49	45	6	1	0	1	3	19	1	0	0	133	204	222	426	89	200	39	6	200	19	-5	+0	-0	-1	+1	-0.5
2018	31	AA	Bowie Baysox	—	17	14	3	0	0	1	3	5	0	0	0	214	353	429	782	214	250	29	18	352	56	—	—	—	—	—	—
2018	31	A+	Frederick Keys	—	40	37	11	3	1	1	2	7	0	0	0	297	333	514	847	216	333	18	5	359	61	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4119	3704	891	183	21	166	362	1106	18	35	17	241	311	436	747	195	295	27	9	328	108	+40	+0	+5	-1	+89	13.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	18	ROK MLE	Johnson City Cardinals	—	244	225	43	10	3	5	12	104	3	13	3	191	242	329	571	138	311	43	5	250	55	—	—	—	—	—	—
2006	19	A+ MLE	Palm Beach Cardinals	—	225	201	43	4	4	4	19	50	3	11	3	214	291	333	625	119	255	22	8	282	77	—	—	—	—	—	—
2006	19	A MLE	Swing of the Quad Cities	—	341	313	82	18	3	9	19	75	3	17	5	262	310	425	735	163	303	22	6	312	97	—	—	—	—	—	—
2007	20	AA MLE	Springfield Cardinals	—	556	490	114	31	3	24	52	132	12	18	3	233	321	455	776	222	263	24	9	332	111	—	—	—	—	—	—
2008	21	AAA MLE	Memphis Redbirds	—	387	346	72	12	0	9	34	93	1	15	3	208	281	321	602	113	250	24	9	269	68	—	—	—	—	—	—
2009	22	MLB MLE	St. Louis Cardinals	—	520	477	119	22	2	16	33	95	3	3	1	249	302	405	707	155	282	18	6	311	96	-2	+0	+11	+2	+11	2.3
2010	23	MLB MLE	St. Louis Cardinals	—	534	473	129	27	3	25	54	148	1	12	8	273	348	501	850	228	354	28	10	369	136	+23	-1	-4	+2	+12	3.2
2011	24	MLB MLE	Toronto Blue Jays	—	526	473	106	24	6	14	48	116	0	5	2	224	296	389	685	165	267	22	9	302	90	-6	+0	-7	+2	+11	0.1
2012	25	MLB MLE	Toronto Blue Jays	—	625	570	126	21	5	23	42	149	7	4	3	221	283	396	679	175	259	24	7	298	88	-9	-0	+4	+2	+14	1.1
2013	26	MLB MLE	Toronto Blue Jays	—	458	417	115	26	1	22	37	135	3	0	1	276	339	501	840	225	356	29	8	367	135	+19	-0	+1	+2	+10	3.2
2014	27	MLB MLE	Toronto Blue Jays	—	376	348	78	21	1	18	27	124	1	4	0	224	282	445	727	221	294	33	7	319	102	+1	+1	-2	+1	+8	1.0
2014	27	AAA MLE	Buffalo Bisons	—	24	23	2	0	0	0	1	11	0	0	0	87	125	87	212		204	46	4	108	-41	—	—	—	—	—	—
2015	28	MLB MLE	Houston Astros	—	485	432	103	22	2	26	47	154	2	2	1	238	316	479	795	241	305	32	10	343	119	+11	+0	-4	-5	+11	1.2
2016	29	MLB MLE	Houston Astros	—	417	369	75	9	0	15	43	121	0	4	1	203	286	350	636	146	257	29	10	288	81	-9	+0	+5	-4	+9	0.1
2017	30	MLB MLE	Tampa Bay Rays	—	129	123	34	7	1	9	5	45	0	1	0	276	305	569	874	293	368	35	4	376	141	+6	+0	+0	-2	+3	0.8
2017	30	AA MLE	Montgomery Biscuits	—	23	21	2	1	0	1	1	9	0	0	0	95	136	286	422	190	66	39	4	158	-7	—	—	—	—	—	—
2018	31	MLB MLE	Baltimore Orioles	—	49	45	6	1	0	1	3	19	1	0	0	133	204	222	426	89	200	39	6	196	19	-5	+0	-0	-1	+1	-0.5
2018	31	AA MLE	Bowie Baysox	—	17	15	3	0	0	1	2	6	0	0	0	200	294	400	694	200	220	35	12	251	56	—	—	—	—	—	—
2018	31	A+ MLE	Frederick Keys	—	40	38	9	2	1	1	1	10	0	0	0	237	256	421	677	184	265	25	2	258	61	—	—	—	—	—	—
2005	18	ROK MLE	Johnson City Cardinals	—	244	225	43	10	3	5	12	104	3	13	3	191	242	329	571	138	319	43	5	250	55	—	—	—	—	—	—
2005	18	ROK RAW	Johnson City Cardinals	—	244	216	64	16	5	7	21	73	3	13	3	296	367	514	881	218	410	30	9	380	55	—	—	—	—	—	—
2006	19	A MLE	2 teams	—	566	514	124	21	7	13	38	124	6	28	8	241	301	385	686	144	291	22	7	300	89	—	—	—	—	—	—
2006	19	A RAW	2 teams	—	566	496	143	26	8	16	56	90	6	28	8	288	367	470	837	181	322	16	10	366	89	—	—	—	—	—	—
2007	20	AA MLE	Springfield Cardinals	—	556	490	114	31	3	24	52	132	12	18	3	233	321	455	776	222	268	24	9	332	111	—	—	—	—	—	—
2007	20	AA RAW	Springfield Cardinals	—	556	472	130	37	3	29	70	108	12	18	3	275	383	551	934	275	300	19	13	406	111	—	—	—	—	—	—
2008	21	AAA MLE	Memphis Redbirds	—	387	346	72	12	0	9	34	93	1	15	3	208	281	321	602	113	255	24	9	269	68	—	—	—	—	—	—
2008	21	AAA RAW	Memphis Redbirds	—	387	331	83	15	0	11	49	72	1	15	3	251	349	396	745	145	287	19	13	332	68	—	—	—	—	—	—
2009	22	MLB MLE	St. Louis Cardinals	—	520	477	119	22	2	16	33	95	3	3	1	249	302	405	707	155	280	18	6	311	96	-2	+0	+11	+2	+11	2.3
2009	22	MLB RAW	St. Louis Cardinals	—	520	474	119	22	2	16	36	95	3	3	1	251	308	407	715	156	282	18	7	315	96	-2	+0	+11	+2	+11	2.3
2010	23	MLB MLE	St. Louis Cardinals	—	534	473	129	27	3	25	54	148	1	12	8	273	348	501	850	228	342	28	10	369	136	+23	-1	-4	+2	+12	3.2
2010	23	MLB RAW	St. Louis Cardinals	—	534	464	128	28	3	23	63	148	1	12	8	276	364	498	861	222	354	28	12	375	136	+23	-1	-4	+2	+12	3.2
2011	24	MLB MLE	Toronto Blue Jays	—	526	473	106	24	6	14	48	116	0	5	2	224	296	389	685	165	266	22	9	302	90	-6	+0	-7	+2	+11	0.1
2011	24	MLB RAW	Toronto Blue Jays	—	526	471	106	24	6	14	50	116	0	5	2	225	299	391	690	166	267	22	10	305	90	-6	+0	-7	+2	+11	0.1
2012	25	MLB MLE	Toronto Blue Jays	—	625	570	126	21	5	23	42	149	7	4	3	221	283	396	679	175	256	24	7	298	88	-9	-0	+4	+2	+14	1.1
2012	25	MLB RAW	Toronto Blue Jays	—	625	565	126	21	5	23	47	149	7	4	3	223	291	400	691	177	259	24	8	305	88	-9	-0	+4	+2	+14	1.1
2013	26	MLB MLE	Toronto Blue Jays	—	458	417	115	26	1	22	37	135	3	0	1	276	339	501	840	225	356	29	8	367	135	+19	-0	+1	+2	+10	3.2
2013	26	MLB RAW	Toronto Blue Jays	—	458	417	115	26	1	22	37	135	3	0	1	276	339	501	840	225	356	29	8	368	135	+19	-0	+1	+2	+10	3.2
2014	27	MLB MLE	2 teams	—	400	371	80	21	1	18	28	135	1	4	0	216	273	423	696	208	284	34	7	306	93	-3	+1	-2	+1	+9	0.6
2014	27	MLB RAW	2 teams	—	400	369	81	21	1	18	30	133	1	4	0	220	280	428	708	209	289	33	8	312	93	-3	+1	-2	+1	+9	0.6
2015	28	MLB MLE	Houston Astros	—	485	432	103	22	2	26	47	154	2	2	1	238	316	479	795	241	302	32	10	343	119	+11	+0	-4	-5	+11	1.2
2015	28	MLB RAW	Houston Astros	—	485	432	103	23	2	25	47	154	2	2	1	238	316	475	791	236	305	32	10	344	119	+11	+0	-4	-5	+11	1.2
2016	29	MLB MLE	Houston Astros	—	417	369	75	9	0	15	43	121	0	4	1	203	286	350	636	146	253	29	10	288	81	-9	+0	+5	-4	+9	0.1
2016	29	MLB RAW	Houston Astros	—	417	369	76	10	0	15	43	121	0	4	1	206	289	355	644	149	257	29	10	288	81	-9	+0	+5	-4	+9	0.1
2017	30	MLB MLE	2 teams	—	152	144	36	8	1	10	6	54	0	1	0	250	280	528	808	278	317	36	4	343	118	+3	+0	+0	-2	+3	0.5
2017	30	MLB RAW	2 teams	—	152	141	36	8	1	10	9	52	0	1	0	255	300	539	839	284	321	34	6	358	118	+3	+0	+0	-2	+3	0.5
2018	31	MLB MLE	3 teams	—	106	98	17	3	1	2	6	35	1	0	0	173	229	286	514	112	242	33	6	228	41	-7	+0	-0	-1	+2	-0.7
2018	31	MLB RAW	3 teams	—	106	96	20	4	1	3	8	31	1	0	0	208	276	365	641	156	270	29	8	285	41	-7	+0	-0	-1	+2	-0.7
2005	18	ROK MLE	Johnson City Cardinals	—	244	227	43	10	3	5	12	104	3	13	3	189	242	326	568	137	311	43	5	250	55	—	—	—	—	—	—
2006	19	A MLE	2 teams	—	566	517	124	21	7	13	38	124	6	28	8	240	301	383	684	143	284	22	7	300	89	—	—	—	—	—	—
2007	20	AA MLE	Springfield Cardinals	—	556	487	114	31	3	24	52	132	12	18	3	234	321	458	779	224	263	24	9	332	111	—	—	—	—	—	—
2008	21	AAA MLE	Memphis Redbirds	—	387	349	72	12	0	9	34	93	1	15	3	206	281	318	599	112	250	24	9	269	68	—	—	—	—	—	—
2009	22	MLB MLE	St. Louis Cardinals	—	520	479	119	22	2	16	33	95	3	3	1	248	302	403	705	154	282	18	6	311	96	—	—	—	—	—	—
2010	23	MLB MLE	St. Louis Cardinals	—	534	474	129	27	3	25	54	148	1	12	8	272	348	500	848	228	354	28	10	369	136	—	—	—	—	—	—
2011	24	MLB MLE	Toronto Blue Jays	—	526	473	106	24	6	14	48	116	0	5	2	224	296	389	685	165	267	22	9	302	90	—	—	—	—	—	—
2012	25	MLB MLE	Toronto Blue Jays	—	625	571	126	21	5	23	42	149	7	4	3	221	283	396	679	175	259	24	7	298	88	—	—	—	—	—	—
2013	26	MLB MLE	Toronto Blue Jays	—	458	415	115	26	1	22	37	135	3	0	1	277	339	504	843	227	356	29	8	367	135	—	—	—	—	—	—
2014	27	MLB MLE	2 teams	—	400	368	80	21	1	18	28	135	1	4	0	217	273	427	699	209	289	34	7	306	93	—	—	—	—	—	—
2015	28	MLB MLE	Houston Astros	—	485	433	103	22	2	26	47	154	2	2	1	238	316	478	794	240	305	32	10	343	119	—	—	—	—	—	—
2016	29	MLB MLE	Houston Astros	—	417	371	75	9	0	15	43	121	0	4	1	202	286	348	634	146	257	29	10	288	81	—	—	—	—	—	—
2017	30	MLB MLE	2 teams	—	152	145	36	8	1	10	6	54	0	1	0	248	280	524	804	276	322	36	4	343	118	—	—	—	—	—	—
2018	31	MLB MLE	3 teams	—	106	98	17	3	1	2	6	35	1	0	0	173	229	286	514	112	228	33	6	228	41	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4119	3704	891	183	21	166	362	1106	18	35	17	241	311	436	747	195	295	27	9	328	99	+40	+0	+5	-1	+89	13.6
/ 162G	—	A+C		—	650	585	140	29	3	26	57	175	3	6	3	239	310	432	743	193	295	27	9	328	99	+6	+0	+1	-0	+14	2.2
Career	—	MLE		—	5976	5399	1259	257	35	222	480	1595	40	109	34	233	301	417	718	184	287	27	8	314	99	+40	+0	+5	-1	+89	13.6
/ 162G	—	MLE		—	650	587	137	28	4	24	52	173	4	12	4	233	300	417	717	184	287	27	8	314	99	+6	+0	+1	-0	+14	2.2

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 A+Frederick Keys · 40 PAwOBA .358 → .258 (−100)K% 17.5% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.50%	÷0.992	×1.420	—	—	25.06%
BB% (unintentional) /PA	5.00%	÷0.956	×0.630	—	×0.940	3.10%
HBP% /PA	0.00%	—	×0.860	—	×0.940	0.00%
Singles /BIP	20.00%	÷1.021	×0.940	—	×0.940	17.31%
Doubles /BIP	10.00%	÷1.053	×0.830	—	×0.940	7.41%
Triples /BIP	3.33%	÷1.150	×0.800	—	×0.940	2.18%
Home runs /BIP	3.33%	÷1.357	×0.900	—	×0.940	2.08%

Factors used: league row CAR. Park (home-season share, regressed): HR 171, 1B 104, 2B 111, 3B 130, K 98, BB 91 — applied at half strength. Age: age 32 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .358 → .258; ISO .216 → .140; BABIP .333 → .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).

2018 AABowie Baysox · 17 PAwOBA .343 → .251 (−92)K% 29.4% → 37.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.41%	÷0.960	×1.220	—	—	37.38%
BB% (unintentional) /PA	17.65%	÷0.978	×0.700	—	×0.940	11.87%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	22.22%	÷0.996	×0.970	—	×0.940	20.34%
Doubles /BIP	0.00%	÷0.971	×0.860	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.940	0.00%
Home runs /BIP	11.11%	÷1.060	×0.780	—	×0.940	7.69%

Factors used: league row EL. Park (home-season share, regressed): HR 112, 1B 99, 2B 94, 3B 80, K 92, BB 96 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .343 → .251; ISO .214 → .142; BABIP .250 → .220. 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 AAMontgomery Biscuits · 23 PAwOBA .210 → .158 (−53)K% 30.4% → 37.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.43%	÷0.994	×1.220	—	—	37.36%
BB% (unintentional) /PA	8.70%	÷1.018	×0.680	—	×0.940	5.46%
HBP% /PA	0.00%	—	×0.840	—	×0.940	0.00%
Singles /BIP	0.00%	÷1.013	×0.920	—	×0.940	0.00%
Doubles /BIP	7.69%	÷0.986	×0.910	—	×0.940	6.67%
Triples /BIP	0.00%	÷1.146	×0.880	—	×0.940	0.00%
Home runs /BIP	7.69%	÷1.008	×0.800	—	×0.940	5.74%

Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 103, 2B 97, 3B 129, K 99, BB 104 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .210 → .158; ISO .200 → .157; BABIP .077 → .066. 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 AAABuffalo Bisons · 24 PAwOBA .139 → .108 (−31)K% 37.5% → 47.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.50%	÷0.942	×1.200	—	—	47.78%
BB% (unintentional) /PA	4.17%	÷1.041	×0.690	—	×0.992	2.74%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	21.43%	÷0.968	×0.930	—	×0.992	20.42%
Doubles /BIP	0.00%	÷0.985	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.006	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 97, 3B 130, K 88, BB 108 — 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).

Result: wOBA .139 → .108; ISO .000 → .000; BABIP .214 → .204. 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 AAAMemphis Redbirds · 387 PAwOBA .324 → .269 (−55)K% 18.6% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.60%	÷1.000	×1.290	—	—	24.00%
BB% (unintentional) /PA	11.89%	÷1.000	×0.710	—	×1.050	8.86%
HBP% /PA	0.26%	—	×0.980	—	×1.050	0.27%
Singles /BIP	22.01%	÷1.000	×0.900	×0.950	×1.050	19.76%
Doubles /BIP	5.79%	÷1.000	×0.810	×0.950	×1.050	4.68%
Triples /BIP	0.00%	÷1.000	×0.810	×0.950	×1.050	0.00%
Home runs /BIP	4.25%	÷1.000	×0.780	—	×1.050	3.48%

Factors used: league row PCL. 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 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .324 → .269; ISO .145 → .118; BABIP .287 → .250. 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 AASpringfield Cardinals · 556 PAwOBA .396 → .332 (−65)K% 19.4% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷1.000	×1.220	—	—	23.70%
BB% (unintentional) /PA	12.59%	÷1.000	×0.700	—	×1.050	9.25%
HBP% /PA	2.16%	—	×0.870	—	×1.050	1.97%
Singles /BIP	16.76%	÷1.000	×0.920	×0.950	×1.050	15.38%
Doubles /BIP	10.16%	÷1.000	×0.840	×0.950	×1.050	8.52%
Triples /BIP	0.82%	÷1.000	×0.940	×0.950	×1.050	0.77%
Home runs /BIP	7.97%	÷1.000	×0.800	—	×1.050	6.69%

Factors used: league row TL. 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 ×0.950.

Result: wOBA .396 → .332; ISO .275 → .231; BABIP .300 → .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).

2006 ASwing of the Quad Cities · 341 PAwOBA .375 → .312 (−63)K% 16.1% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.13%	÷1.000	×1.360	—	—	21.94%
BB% (unintentional) /PA	7.92%	÷1.000	×0.690	—	×1.030	5.63%
HBP% /PA	0.88%	—	×0.780	—	×1.030	0.71%
Singles /BIP	23.39%	÷1.000	×0.920	×0.957	×1.030	21.20%
Doubles /BIP	8.87%	÷1.000	×0.830	×0.957	×1.030	7.26%
Triples /BIP	1.21%	÷1.000	×0.910	×0.957	×1.030	1.08%
Home runs /BIP	4.44%	÷1.000	×0.800	—	×1.030	3.65%

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 ×0.957.

Result: wOBA .375 → .312; ISO .201 → .165; BABIP .346 → .303. 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+Palm Beach Cardinals · 225 PAwOBA .329 → .282 (−47)K% 15.6% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.56%	÷1.000	×1.420	—	—	22.09%
BB% (unintentional) /PA	10.67%	÷1.000	×0.750	—	×1.042	8.34%
HBP% /PA	1.33%	—	×0.930	—	×1.042	1.29%
Singles /BIP	22.15%	÷1.000	×0.920	×0.950	×1.042	20.17%
Doubles /BIP	2.53%	÷1.000	×0.960	×0.950	×1.042	2.41%
Triples /BIP	3.16%	÷1.000	×0.810	×0.950	×1.042	2.54%
Home runs /BIP	3.16%	÷1.000	×0.880	—	×1.042	2.90%

Factors used: league row FSL. 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 ×0.950.

Result: wOBA .329 → .282; ISO .150 → .129; BABIP .284 → .255. 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).