Tyler Colvin

PosRF

B/TL/L

Born1985-09-05

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	28	AAACOL	176	.239/.291/.356	2	3	34	—	.186/.223/.269
2014	28	MLBSF	149	.223/.270/.381	2	1	82	-0.4
2015	29	AAA/INTL2 orgs	370	.211/.258/.309	4	0	21	—	.179/.202/.247
2018	32	AALAD	47	.286/.348/.405	1	0	59	—	.256/.304/.372
2019	33	No MLB games played
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 -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.

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	21	AA	Tennessee Smokies	—	257	247	72	11	2	9	5	54	3	7	1	291	314	462	775	170	341	21	2	339	83	—	—	—	—	—	—
2007	21	A+	Daytona Cubs	—	262	245	75	24	3	7	10	47	3	10	4	306	341	514	855	208	349	18	4	368	104	—	—	—	—	—	—
2008	22	AA	Tennessee Smokies	—	602	540	138	27	11	14	44	101	4	7	4	256	316	424	740	169	286	17	7	321	75	—	—	—	—	—	—
2009	23	MLB	Chicago Cubs	—	20	17	3	0	0	0	2	5	0	0	0	176	263	176	440		231	25	10	206	25	-2	+0	+0	+2	+0	0.1
2009	23	AA	Tennessee Smokies	—	331	307	92	13	7	14	16	57	1	5	1	300	335	524	860	225	328	17	5	367	94	—	—	—	—	—	—
2009	23	A+	Daytona Cubs	—	129	112	28	5	2	1	13	27	1	3	1	250	333	357	690	107	310	21	10	307	57	—	—	—	—	—	—
2010	24	MLB	Chicago Cubs	—	395	358	91	18	5	20	30	100	3	6	1	254	316	500	816	246	296	25	8	353	122	+10	+1	-4	-4	+9	1.2
2011	25	MLB	Chicago Cubs	—	222	206	31	8	3	6	14	58	0	0	0	150	205	306	510	155	175	26	6	225	31	-18	+0	+2	-5	+5	-1.7
2011	25	AAA	Iowa Cubs	—	212	203	52	12	6	7	5	55	0	1	1	256	274	478	752	222	312	26	2	319	53	—	—	—	—	—	—
2012	26	MLB	Colorado Rockies	—	452	420	122	27	10	18	21	117	2	7	3	290	323	531	854	240	364	26	5	365	115	+8	+0	-2	-5	+10	1.2
2013	27	MLB	Colorado Rockies	—	78	75	12	0	0	3	3	27	0	0	0	160	192	280	472	120	200	35	4	211	15	-8	+0	-2	+1	+2	-0.8
2013	27	AAA	Colorado Springs Sky Sox	—	272	229	63	8	6	9	36	62	2	6	3	275	374	480	854	205	340	23	13	373	80	—	—	—	—	—	—
2014	28	MLB	San Francisco Giants	—	149	139	31	10	3	2	8	45	1	1	0	223	270	381	652	158	312	30	5	286	82	-3	+0	-1	-3	+3	-0.4
2014	28	AAA	Fresno Grizzlies	—	176	163	39	9	2	2	11	41	1	3	0	239	291	356	647	117	306	23	6	289	34	—	—	—	—	—	—
2015	29	AAA	Charlotte Knights	—	323	305	69	15	3	4	15	92	1	0	1	226	265	334	599	108	310	28	5	267	23	—	—	—	—	—	—
2015	29	INTL	Criollos de Caguas	—	47	41	4	1	0	0	6	18	0	0	0	98	213	122	335	24	174	38	13	174	4	—	—	—	—	—	—
2018	32	AA	Tulsa Drillers	—	47	42	12	2	0	1	4	12	0	0	0	286	348	405	753	119	367	26	9	332	59	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1316	1215	290	63	21	49	78	352	6	14	4	239	286	446	732	207	294	27	6	317	101	+1	+1	-7	-14	+29	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	21	AA MLE	Tennessee Smokies	—	257	248	65	10	2	7	4	66	3	7	1	262	282	403	686	141	323	26	2	291	83	—	—	—	—	—	—
2007	21	A+ MLE	Daytona Cubs	—	262	249	68	23	2	6	6	67	3	10	4	273	298	454	752	181	335	26	2	322	104	—	—	—	—	—	—
2008	22	AA MLE	Tennessee Smokies	—	602	553	128	25	10	12	31	123	4	7	4	231	277	378	655	146	263	20	5	279	75	—	—	—	—	—	—
2009	23	MLB MLE	Chicago Cubs	—	20	17	3	0	0	0	2	5	0	0	0	176	263	176	440		231	25	10	206	25	-2	+0	+0	+2	+0	0.1
2009	23	AA MLE	Tennessee Smokies	—	331	314	82	12	6	11	10	70	1	5	1	261	286	443	729	182	291	21	3	307	94	—	—	—	—	—	—
2009	23	A+ MLE	Daytona Cubs	—	129	115	23	4	1	1	10	38	1	3	1	200	270	278	548	78	278	29	8	252	57	—	—	—	—	—	—
2010	24	MLB MLE	Chicago Cubs	—	395	361	90	17	4	21	28	100	3	6	1	249	309	493	802	244	296	25	7	349	122	+10	+1	-4	-4	+9	1.2
2011	25	MLB MLE	Chicago Cubs	—	222	209	31	8	3	6	11	58	0	0	0	148	191	301	492	153	175	26	5	214	31	-18	+0	+2	-5	+5	-1.7
2011	25	AAA MLE	Iowa Cubs	—	212	205	41	9	4	5	3	74	0	1	1	200	212	356	568	156	275	35	1	247	53	—	—	—	—	—	—
2012	26	MLB MLE	Colorado Rockies	—	452	426	114	26	7	16	21	117	2	7	3	268	305	474	779	207	364	26	5	339	115	+8	+0	-2	-5	+10	1.2
2013	27	MLB MLE	Colorado Rockies	—	78	76	12	0	0	3	2	27	0	0	0	158	179	276	456	118	200	35	3	190	15	-8	+0	-2	+1	+2	-0.8
2013	27	AAA MLE	Colorado Springs Sky Sox	—	272	244	54	7	5	7	24	85	2	6	3	221	296	377	673	156	294	31	9	286	80	—	—	—	—	—	—
2014	28	MLB MLE	San Francisco Giants	—	149	139	31	10	3	2	8	45	1	1	0	223	270	381	652	158	312	30	5	290	82	-3	+0	-1	-3	+3	-0.4
2014	28	AAA MLE	Fresno Grizzlies	—	176	167	31	7	2	1	7	53	1	3	0	186	223	269	492	84	260	30	4	218	34	—	—	—	—	—	—
2015	29	AAA MLE	Charlotte Knights	—	323	312	56	11	2	2	8	114	1	0	1	179	202	247	449	67	273	35	2	202	23	—	—	—	—	—	—
2018	32	AA MLE	Tulsa Drillers	—	47	43	11	2	0	1	3	15	0	0	0	256	304	372	676	116	312	32	6	255	59	—	—	—	—	—	—
2007	21	A+ MLE	2 teams	—	519	497	133	33	4	13	10	133	6	17	5	268	290	429	719	161	337	26	2	307	94	—	—	—	—	—	—
2007	21	A+ RAW	2 teams	—	519	492	147	35	5	16	15	101	6	17	5	299	327	488	815	189	345	19	3	354	94	—	—	—	—	—	—
2008	22	AA MLE	Tennessee Smokies	—	602	553	128	25	10	12	31	123	4	7	4	231	277	378	655	146	272	20	5	279	75	—	—	—	—	—	—
2008	22	AA RAW	Tennessee Smokies	—	602	540	138	27	11	14	44	101	4	7	4	256	316	424	740	169	286	17	7	321	75	—	—	—	—	—	—
2009	23	AA MLE	3 teams	—	480	447	109	16	8	12	21	113	2	8	2	244	281	396	677	152	296	24	4	288	81	—	—	—	—	—	—
2009	23	AA RAW	3 teams	—	480	436	123	18	9	15	31	89	2	8	2	282	332	468	800	186	320	19	6	344	81	—	—	—	—	—	—
2010	24	MLB MLE	Chicago Cubs	—	395	361	90	17	4	21	28	100	3	6	1	249	309	493	802	244	285	25	7	349	122	+10	+1	-4	-4	+9	1.2
2010	24	MLB RAW	Chicago Cubs	—	395	358	91	18	5	20	30	100	3	6	1	254	316	500	816	246	296	25	8	353	122	+10	+1	-4	-4	+9	1.2
2011	25	MLB MLE	2 teams	—	434	414	73	17	7	12	14	132	0	1	1	176	203	338	541	162	223	30	3	230	42	-30	-0	+2	-5	+9	-2.4
2011	25	MLB RAW	2 teams	—	434	409	83	20	9	13	19	113	0	1	1	203	238	391	630	188	244	26	4	271	42	-30	-0	+2	-5	+9	-2.4
2012	26	MLB MLE	Colorado Rockies	—	452	426	114	26	7	16	21	117	2	7	3	268	305	474	779	207	333	26	5	339	115	+8	+0	-2	-5	+10	1.2
2012	26	MLB RAW	Colorado Rockies	—	452	420	122	27	10	18	21	117	2	7	3	290	323	531	854	240	364	26	5	365	115	+8	+0	-2	-5	+10	1.2
2013	27	AAA MLE	2 teams	—	350	320	64	7	5	9	26	112	2	6	3	200	264	338	602	138	275	32	7	265	65	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	350	304	75	8	6	12	39	89	2	6	3	247	333	431	764	184	309	25	11	337	65	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	325	306	64	17	5	4	15	98	2	4	0	209	251	337	587	127	291	30	5	251	56	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	325	302	70	19	5	4	19	86	2	4	0	232	282	368	649	136	308	26	6	288	56	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	370	358	66	13	3	3	9	130	1	0	1	184	207	263	469	78	279	35	2	202	23	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	370	346	73	16	3	4	21	110	1	0	1	211	258	309	567	98	296	30	6	255	23	—	—	—	—	—	—
2018	32	AA MLE	Tulsa Drillers	—	47	43	11	2	0	1	3	15	0	0	0	256	304	372	676	116	357	32	6	255	59	—	—	—	—	—	—
2018	32	AA RAW	Tulsa Drillers	—	47	42	12	2	0	1	4	12	0	0	0	286	348	405	753	119	367	26	9	332	59	—	—	—	—	—	—
2007	21	A+ MLE	2 teams	—	519	498	133	33	4	13	10	133	6	17	5	267	290	428	718	161	329	26	2	307	94	—	—	—	—	—	—
2008	22	AA MLE	Tennessee Smokies	—	602	562	128	25	10	12	31	123	4	7	4	228	277	372	649	144	263	20	5	279	75	—	—	—	—	—	—
2009	23	AA MLE	3 teams	—	480	454	109	16	8	12	21	113	2	8	2	240	281	390	671	150	285	24	4	288	81	—	—	—	—	—	—
2010	24	MLB MLE	Chicago Cubs	—	395	361	90	17	4	21	28	100	3	6	1	249	309	493	802	244	296	25	7	349	122	—	—	—	—	—	—
2011	25	MLB MLE	2 teams	—	434	417	73	17	7	12	14	132	0	1	1	175	203	336	539	161	224	30	3	230	42	—	—	—	—	—	—
2012	26	MLB MLE	Colorado Rockies	—	452	426	114	26	7	16	21	117	2	7	3	268	305	474	779	207	364	26	5	339	115	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	350	319	64	7	5	9	26	112	2	6	3	201	264	339	603	138	273	32	7	265	65	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	325	305	64	17	5	4	15	98	2	4	0	210	251	338	588	128	284	30	5	251	56	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	370	357	66	13	3	3	9	130	1	0	1	185	207	263	470	78	273	35	2	202	23	—	—	—	—	—	—
2018	32	AA MLE	Tulsa Drillers	—	47	44	11	2	0	1	3	15	0	0	0	250	304	364	668	114	312	32	6	255	59	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1316	1215	290	63	21	49	78	352	6	14	4	239	286	446	732	207	294	27	6	317	76	+1	+1	-7	-14	+29	1.0
/ 162G	—	A+C		—	650	600	143	31	10	24	39	174	3	7	2	238	287	443	730	205	294	27	6	317	76	+1	+1	-4	-7	+14	0.5
Career	—	MLE		—	3974	3725	852	173	53	103	178	1073	22	56	20	229	268	387	655	158	290	27	4	281	76	+1	+1	-7	-14	+29	1.0
/ 162G	—	MLE		—	650	609	140	28	9	17	29	176	4	9	3	230	269	389	659	159	292	27	4	281	76	+1	+1	-4	-7	+14	0.5

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.

2018 AATulsa Drillers · 47 PAwOBA .330 → .255 (−75)K% 25.5% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.53%	÷0.964	×1.220	—	—	32.33%
BB% (unintentional) /PA	8.51%	÷1.033	×0.700	—	×0.940	5.42%
HBP% /PA	0.00%	—	×0.870	—	×0.940	0.00%
Singles /BIP	30.00%	÷0.987	×0.920	—	×0.940	26.30%
Doubles /BIP	6.67%	÷0.991	×0.840	—	×0.940	5.31%
Triples /BIP	0.00%	÷0.907	×0.940	—	×0.940	0.00%
Home runs /BIP	3.33%	÷1.147	×0.800	—	×0.940	2.19%

Factors used: league row TL. Park (home-season share, regressed): HR 129, 1B 97, 2B 98, 3B 81, K 93, BB 107 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .330 → .255; ISO .119 → .083; BABIP .367 → .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).

2015 AAACharlotte Knights · 323 PAwOBA .256 → .202 (−54)K% 28.5% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.48%	÷0.971	×1.200	—	—	35.20%
BB% (unintentional) /PA	3.72%	÷1.017	×0.690	—	×0.972	2.45%
HBP% /PA	0.31%	—	×0.940	—	×0.972	0.28%
Singles /BIP	22.07%	÷0.973	×0.930	×0.990	×0.972	20.30%
Doubles /BIP	7.04%	÷0.993	×0.830	×0.990	×0.972	5.67%
Triples /BIP	1.41%	÷1.150	×0.970	×0.990	×0.972	1.14%
Home runs /BIP	1.88%	÷1.306	×0.840	—	×0.972	1.17%

Factors used: league row IL. Park (home-season share, regressed): HR 161, 1B 95, 2B 99, 3B 130, K 94, BB 103 — 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 ×0.990.

Result: wOBA .256 → .202; ISO .108 → .075; BABIP .310 → .273. 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 AAAFresno Grizzlies · 176 PAwOBA .281 → .218 (−63)K% 23.3% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.30%	÷0.994	×1.290	—	—	30.23%
BB% (unintentional) /PA	5.68%	÷1.005	×0.710	—	×0.982	3.94%
HBP% /PA	0.57%	—	×0.980	—	×0.982	0.55%
Singles /BIP	21.31%	÷1.002	×0.900	×0.994	×0.982	18.69%
Doubles /BIP	7.38%	÷1.014	×0.810	×0.994	×0.982	5.75%
Triples /BIP	1.64%	÷0.900	×0.810	×0.994	×0.982	1.44%
Home runs /BIP	1.64%	÷1.045	×0.780	—	×0.982	1.20%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 100, 2B 103, 3B 80, K 99, BB 101 — 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 ×0.994.

Result: wOBA .281 → .218; ISO .117 → .086; BABIP .306 → .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).

2013 AAAColorado Springs Sky Sox · 272 PAwOBA .363 → .286 (−77)K% 22.8% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.79%	÷0.941	×1.290	—	—	31.26%
BB% (unintentional) /PA	12.50%	÷1.000	×0.710	—	×0.992	8.80%
HBP% /PA	0.74%	—	×0.980	—	×0.992	0.71%
Singles /BIP	23.95%	÷1.031	×0.900	×1.036	×0.992	21.49%
Doubles /BIP	4.79%	÷0.967	×0.810	×1.036	×0.992	4.13%
Triples /BIP	3.59%	÷1.071	×0.810	×1.036	×0.992	2.80%
Home runs /BIP	5.39%	÷1.022	×0.780	—	×0.992	4.08%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 106, 2B 93, 3B 114, K 88, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .363 → .286; ISO .205 → .154; BABIP .340 → .294. 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 AAAIowa Cubs · 212 PAwOBA .314 → .247 (−67)K% 25.9% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.94%	÷0.965	×1.290	—	—	34.67%
BB% (unintentional) /PA	2.36%	÷1.043	×0.710	—	×1.018	1.63%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	18.24%	÷0.980	×0.900	×1.012	×1.018	17.26%
Doubles /BIP	8.11%	÷1.017	×0.810	×1.012	×1.018	6.65%
Triples /BIP	4.05%	÷1.086	×0.810	×1.012	×1.018	3.12%
Home runs /BIP	4.73%	÷0.934	×0.780	—	×1.018	4.02%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 96, 2B 103, 3B 117, K 93, BB 109 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .314 → .247; ISO .222 → .166; BABIP .312 → .275. 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 AATennessee Smokies · 331 PAwOBA .357 → .307 (−50)K% 17.2% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.22%	÷1.000	×1.220	—	—	21.01%
BB% (unintentional) /PA	4.23%	÷1.000	×0.680	—	×1.012	2.91%
HBP% /PA	0.30%	—	×0.840	—	×1.012	0.26%
Singles /BIP	23.20%	÷1.000	×0.920	×0.970	×1.012	20.94%
Doubles /BIP	5.20%	÷1.000	×0.910	×0.970	×1.012	4.64%
Triples /BIP	2.80%	÷1.000	×0.880	×0.970	×1.012	2.42%
Home runs /BIP	5.60%	÷1.000	×0.800	—	×1.012	4.53%

Factors used: league row SL. 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 ×0.970.

Result: wOBA .357 → .307; ISO .225 → .189; BABIP .328 → .291. 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+Daytona Cubs · 129 PAwOBA .307 → .252 (−55)K% 20.9% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.93%	÷1.000	×1.420	—	—	29.72%
BB% (unintentional) /PA	10.08%	÷1.000	×0.750	—	×0.988	7.47%
HBP% /PA	0.78%	—	×0.930	—	×0.988	0.71%
Singles /BIP	23.53%	÷1.000	×0.920	×0.991	×0.988	21.20%
Doubles /BIP	5.88%	÷1.000	×0.960	×0.991	×0.988	5.53%
Triples /BIP	2.35%	÷1.000	×0.810	×0.991	×0.988	1.87%
Home runs /BIP	1.18%	÷1.000	×0.880	—	×0.988	1.02%

Factors used: league row FSL. 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 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .307 → .252; ISO .107 → .088; BABIP .310 → .278. 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 AATennessee Smokies · 602 PAwOBA .317 → .279 (−38)K% 16.8% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.78%	÷1.000	×1.220	—	—	20.47%
BB% (unintentional) /PA	7.31%	÷1.000	×0.680	—	×1.027	5.10%
HBP% /PA	0.66%	—	×0.840	—	×1.027	0.57%
Singles /BIP	19.59%	÷1.000	×0.920	×0.984	×1.027	18.22%
Doubles /BIP	6.15%	÷1.000	×0.910	×0.984	×1.027	5.66%
Triples /BIP	2.51%	÷1.000	×0.880	×0.984	×1.027	2.23%
Home runs /BIP	3.19%	÷1.000	×0.800	—	×1.027	2.62%

Factors used: league row SL. 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 ×0.984.

Result: wOBA .317 → .279; ISO .169 → .148; BABIP .286 → .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).

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