Kevin Kiermaier

PosCF

B/TL/R

Born1990-04-22

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2022	32	MLBTB	221	.228/.281/.369	7	6	83	0.4
2023	33	MLBTOR	408	.265/.325/.419	8	14	107	2.5
2024	34	MLBLAD	281	.197/.238/.313	5	6	53	0.0
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 2.9

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

Speed81

Bat Spd41

xwOBA28

Barrel%21

Avg EV21

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)
2010	20	ROK	Princeton Rays	—	246	218	66	8	7	2	24	54	3	17	5	303	380	431	811	128	395	22	10	362	65	—	—	—	—	—	—
2011	21	A	Bowling Green Hot Rods	—	459	402	97	11	8	4	37	99	8	27	10	241	318	338	656	97	308	22	8	292	48	—	—	—	—	—	—
2011	21	INTL	Canberra Cavalry	—	75	66	20	6	0	0	7	9	1	4	3	303	378	394	772	91	351	12	9	347	121	—	—	—	—	—	—
2012	22	A+	Charlotte Stone Crabs	—	212	177	46	7	6	0	26	38	2	10	4	260	361	367	728	107	331	18	12	321	69	—	—	—	—	—	—
2012	22	INTL	Phoenix Desert Dogs	—	82	69	24	6	2	0	12	12	0	7	0	348	439	493	932	145	421	15	15	412	165	—	—	—	—	—	—
2013	23	AAA	Durham Bulls	—	154	137	36	7	6	1	14	26	2	7	1	263	340	423	763	161	315	17	9	337	78	—	—	—	—	—	—
2013	23	AA	Montgomery Biscuits	—	417	371	115	14	9	5	31	61	8	14	11	310	376	437	812	127	357	15	7	358	104	—	—	—	—	—	—
2014	24	MLB	Tampa Bay Rays	—	364	331	87	16	8	10	23	71	3	5	4	263	317	450	767	187	306	20	6	331	107	+3	-1	+5	-5	+8	1.0
2014	24	AAA	Durham Bulls	—	143	128	39	7	2	3	12	23	0	11	1	305	364	461	825	156	350	16	8	359	112	—	—	—	—	—	—
2015	25	MLB	Tampa Bay Rays	—	535	505	133	25	12	10	24	95	2	18	5	263	299	420	719	156	306	18	4	315	98	-2	+2	+21	+2	+12	3.5
2016	26	MLB	Tampa Bay Rays	—	414	366	90	20	2	12	40	74	7	21	3	246	332	410	742	164	278	18	10	332	110	+5	+3	+13	+1	+9	3.2
2017	27	MLB	Tampa Bay Rays	—	421	380	105	15	3	15	31	99	5	16	7	276	339	450	789	174	337	24	7	346	118	+9	+0	+9	+2	+9	3.0
2017	27	A+	Charlotte Stone Crabs	—	26	24	3	1	1	0	2	7	0	0	1	125	192	250	442	125	176	27	8	200	-18	—	—	—	—	—	—
2018	28	MLB	Tampa Bay Rays	—	367	332	72	12	9	7	25	91	6	10	5	217	284	370	654	154	275	25	7	289	78	-10	+0	+7	+1	+8	0.7
2019	29	MLB	Tampa Bay Rays	—	480	447	102	20	7	14	26	104	5	19	5	228	278	398	676	170	267	22	5	298	86	-8	+2	+15	+2	+10	2.1
2020	30	MLB	Tampa Bay Rays	—	159	138	30	5	3	3	20	42	1	8	1	217	321	362	683	145	290	26	13	311	92	-1	+1	+6	+1	+3	1.0
2021	31	MLB	Tampa Bay Rays	—	390	348	90	19	7	4	33	99	5	9	5	259	332	388	720	129	345	25	8	321	99	-0	-0	+9	+1	+8	1.9
2022	32	MLB	Tampa Bay Rays	—	221	206	47	8	0	7	14	61	1	6	1	228	281	369	649	141	290	28	6	291	83	-4	+1	+2	+1	+5	0.4
2023	33	MLB	Toronto Blue Jays	—	408	370	98	21	6	8	29	86	4	14	1	265	325	419	744	154	321	21	7	327	107	+3	+2	+8	+1	+9	2.5
2024	34	MLB	Los Angeles Dodgers	—	281	259	51	9	3	5	12	86	2	6	2	197	238	313	551	116	272	31	4	240	53	-16	+0	+8	+1	+6	0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4040	3682	905	170	60	95	277	908	41	132	39	246	306	402	708	156	300	22	7	312	97	-12	+11	+104	+8	+88	20.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	20	ROK MLE	Princeton Rays	—	246	228	52	6	5	1	14	77	3	17	5	228	282	311	593	83	336	31	6	265	65	—	—	—	—	—	—
2011	21	A MLE	Bowling Green Hot Rods	—	459	412	85	10	6	3	27	137	8	27	10	206	268	282	550	75	285	30	6	239	48	—	—	—	—	—	—
2012	22	A+ MLE	Charlotte Stone Crabs	—	212	183	41	7	4	0	20	53	2	10	4	224	307	306	613	82	301	25	9	270	69	—	—	—	—	—	—
2013	23	AAA MLE	Durham Bulls	—	154	142	32	5	6	1	9	32	2	7	1	225	281	366	647	141	284	21	6	283	78	—	—	—	—	—	—
2013	23	AA MLE	Montgomery Biscuits	—	417	382	113	13	9	4	20	75	8	14	11	296	344	408	752	113	347	18	5	322	104	—	—	—	—	—	—
2014	24	MLB MLE	Tampa Bay Rays	—	364	333	86	16	8	10	21	71	3	5	4	258	308	444	753	186	306	20	6	326	107	+3	-1	+5	-5	+8	1.0
2014	24	AAA MLE	Durham Bulls	—	143	131	39	6	2	3	9	26	0	11	1	298	343	443	786	145	340	18	6	333	112	—	—	—	—	—	—
2015	25	MLB MLE	Tampa Bay Rays	—	535	505	131	26	11	10	24	95	2	18	5	259	296	414	710	154	306	18	4	312	98	-2	+2	+21	+2	+12	3.5
2016	26	MLB MLE	Tampa Bay Rays	—	414	367	89	20	2	12	39	74	7	21	3	243	327	406	733	163	278	18	9	331	110	+5	+3	+13	+1	+9	3.2
2017	27	MLB MLE	Tampa Bay Rays	—	421	382	104	15	3	15	29	99	5	16	7	272	332	445	777	173	337	24	7	342	118	+9	+0	+9	+2	+9	3.0
2017	27	A+ MLE	Charlotte Stone Crabs	—	26	25	3	1	1	0	1	10	0	0	1	120	154	240	394	120	147	38	4	141	-18	—	—	—	—	—	—
2018	28	MLB MLE	Tampa Bay Rays	—	367	334	71	12	9	7	23	91	6	10	5	213	275	365	641	153	275	25	6	283	78	-10	+0	+7	+1	+8	0.7
2019	29	MLB MLE	Tampa Bay Rays	—	480	449	101	20	7	14	24	104	5	19	5	225	272	394	666	169	267	22	5	295	86	-8	+2	+15	+2	+10	2.1
2020	30	MLB MLE	Tampa Bay Rays	—	159	139	30	5	3	3	19	42	1	8	1	216	314	360	674	144	290	26	12	305	92	-1	+1	+6	+1	+3	1.0
2021	31	MLB MLE	Tampa Bay Rays	—	390	350	89	19	7	4	31	99	5	9	5	254	324	383	707	129	345	25	8	315	99	-0	-0	+9	+1	+8	1.9
2022	32	MLB MLE	Tampa Bay Rays	—	221	206	46	8	0	7	14	61	1	6	1	223	276	364	640	141	290	28	6	291	83	-4	+1	+2	+1	+5	0.4
2023	33	MLB MLE	Toronto Blue Jays	—	408	370	98	21	6	8	29	86	4	14	1	265	325	419	744	154	321	21	7	326	107	+3	+2	+8	+1	+9	2.5
2024	34	MLB MLE	Los Angeles Dodgers	—	281	259	53	10	4	5	12	86	2	6	2	205	245	332	577	127	272	31	4	247	53	-16	+0	+8	+1	+6	0.0
2010	20	ROK MLE	Princeton Rays	—	246	228	52	6	5	1	14	77	3	17	5	228	282	311	593	83	340	31	6	265	65	—	—	—	—	—	—
2010	20	ROK RAW	Princeton Rays	—	246	218	66	8	7	2	24	54	3	17	5	303	380	431	811	128	395	22	10	362	65	—	—	—	—	—	—
2011	21	A MLE	2 teams	—	534	480	98	11	7	3	32	159	9	31	13	204	267	275	542	71	296	30	6	239	48	—	—	—	—	—	—
2011	21	A RAW	2 teams	—	534	468	117	17	8	4	44	108	9	31	13	250	326	346	672	96	315	20	8	300	48	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	294	257	57	10	6	0	28	73	2	17	4	222	303	307	611	86	310	25	10	270	69	—	—	—	—	—	—
2012	22	A+ RAW	2 teams	—	294	246	70	13	8	0	38	50	2	17	4	285	383	402	786	118	357	17	13	347	69	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	571	524	145	19	15	4	29	107	10	21	12	277	327	393	720	116	338	19	5	311	97	—	—	—	—	—	—
2013	23	AA RAW	2 teams	—	571	508	151	21	15	6	45	87	10	21	12	297	366	433	799	136	346	15	8	352	97	—	—	—	—	—	—
2014	24	MLB MLE	2 teams	—	507	464	125	23	10	13	30	97	3	16	5	269	318	446	764	177	314	19	6	328	108	+5	+1	+5	-5	+11	1.7
2014	24	MLB RAW	2 teams	—	507	459	126	23	10	13	35	94	3	16	5	275	330	453	783	179	318	19	7	339	108	+5	+1	+5	-5	+11	1.7
2015	25	MLB MLE	Tampa Bay Rays	—	535	505	131	26	11	10	24	95	2	18	5	259	296	414	710	154	301	18	4	312	98	-2	+2	+21	+2	+12	3.5
2015	25	MLB RAW	Tampa Bay Rays	—	535	505	133	25	12	10	24	95	2	18	5	263	299	420	719	156	306	18	4	315	98	-2	+2	+21	+2	+12	3.5
2016	26	MLB MLE	Tampa Bay Rays	—	414	367	89	20	2	12	39	74	7	21	3	243	327	406	733	163	273	18	9	331	110	+5	+3	+13	+1	+9	3.2
2016	26	MLB RAW	Tampa Bay Rays	—	414	366	90	20	2	12	40	74	7	21	3	246	332	410	742	164	278	18	10	332	110	+5	+3	+13	+1	+9	3.2
2017	27	MLB MLE	2 teams	—	447	407	106	16	4	15	30	109	5	16	8	260	319	430	749	170	320	24	7	331	110	+5	+0	+9	+2	+10	2.7
2017	27	MLB RAW	2 teams	—	447	404	108	16	4	15	33	106	5	16	8	267	330	438	768	171	327	24	7	338	110	+5	+0	+9	+2	+10	2.7
2018	28	MLB MLE	Tampa Bay Rays	—	367	334	71	12	9	7	23	91	6	10	5	213	275	365	641	153	269	25	6	283	78	-10	+0	+7	+1	+8	0.7
2018	28	MLB RAW	Tampa Bay Rays	—	367	332	72	12	9	7	25	91	6	10	5	217	284	370	654	154	275	25	7	289	78	-10	+0	+7	+1	+8	0.7
2019	29	MLB MLE	Tampa Bay Rays	—	480	449	101	20	7	14	24	104	5	19	5	225	272	394	666	169	262	22	5	295	86	-8	+2	+15	+2	+10	2.1
2019	29	MLB RAW	Tampa Bay Rays	—	480	447	102	20	7	14	26	104	5	19	5	228	278	398	676	170	267	22	5	298	86	-8	+2	+15	+2	+10	2.1
2020	30	MLB MLE	Tampa Bay Rays	—	159	139	30	5	3	3	19	42	1	8	1	216	314	360	674	144	287	26	12	305	92	-1	+1	+6	+1	+3	1.0
2020	30	MLB RAW	Tampa Bay Rays	—	159	138	30	5	3	3	20	42	1	8	1	217	321	362	683	145	290	26	13	311	92	-1	+1	+6	+1	+3	1.0
2021	31	MLB MLE	Tampa Bay Rays	—	390	350	89	19	7	4	31	99	5	9	5	254	324	383	707	129	339	25	8	315	99	-0	-0	+9	+1	+8	1.9
2021	31	MLB RAW	Tampa Bay Rays	—	390	348	90	19	7	4	33	99	5	9	5	259	332	388	720	129	345	25	8	321	99	-0	-0	+9	+1	+8	1.9
2022	32	MLB MLE	Tampa Bay Rays	—	221	206	46	8	0	7	14	61	1	6	1	223	276	364	640	141	283	28	6	291	83	-4	+1	+2	+1	+5	0.4
2022	32	MLB RAW	Tampa Bay Rays	—	221	206	47	8	0	7	14	61	1	6	1	228	281	369	649	141	290	28	6	291	83	-4	+1	+2	+1	+5	0.4
2023	33	MLB MLE	Toronto Blue Jays	—	408	370	98	21	6	8	29	86	4	14	1	265	325	419	744	154	321	21	7	326	107	+3	+2	+8	+1	+9	2.5
2023	33	MLB RAW	Toronto Blue Jays	—	408	370	98	21	6	8	29	86	4	14	1	265	325	419	744	154	321	21	7	327	107	+3	+2	+8	+1	+9	2.5
2024	34	MLB MLE	Los Angeles Dodgers	—	281	259	53	10	4	5	12	86	2	6	2	205	245	332	577	127	284	31	4	247	53	-16	+0	+8	+1	+6	0.0
2024	34	MLB RAW	Los Angeles Dodgers	—	281	259	51	9	3	5	12	86	2	6	2	197	238	313	551	116	272	31	4	240	53	-16	+0	+8	+1	+6	0.0
2010	20	ROK MLE	Princeton Rays	—	246	227	52	6	5	1	14	77	3	17	5	229	282	313	594	84	336	31	6	265	65	—	—	—	—	—	—
2011	21	A MLE	2 teams	—	534	488	98	11	7	3	32	159	9	31	13	201	267	270	537	70	285	30	6	239	48	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	294	262	57	10	6	0	28	73	2	17	4	218	303	302	605	84	301	25	10	270	69	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	571	527	145	19	15	4	29	107	10	21	12	275	327	391	718	116	330	19	5	311	97	—	—	—	—	—	—
2014	24	MLB MLE	2 teams	—	507	469	125	23	10	13	30	97	3	16	5	267	318	441	759	175	315	19	6	328	108	—	—	—	—	—	—
2015	25	MLB MLE	Tampa Bay Rays	—	535	504	131	26	11	10	24	95	2	18	5	260	296	415	710	155	306	18	4	312	98	—	—	—	—	—	—
2016	26	MLB MLE	Tampa Bay Rays	—	414	365	89	20	2	12	39	74	7	21	3	244	327	408	735	164	278	18	9	331	110	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	447	409	106	16	4	15	30	109	5	16	8	259	319	428	747	169	326	24	7	331	110	—	—	—	—	—	—
2018	28	MLB MLE	Tampa Bay Rays	—	367	335	71	12	9	7	23	91	6	10	5	212	275	364	640	152	275	25	6	283	78	—	—	—	—	—	—
2019	29	MLB MLE	Tampa Bay Rays	—	480	448	101	20	7	14	24	104	5	19	5	225	272	395	667	170	267	22	5	295	86	—	—	—	—	—	—
2020	30	MLB MLE	Tampa Bay Rays	—	159	138	30	5	3	3	19	42	1	8	1	217	314	362	677	145	290	26	12	305	92	—	—	—	—	—	—
2021	31	MLB MLE	Tampa Bay Rays	—	390	351	89	19	7	4	31	99	5	9	5	254	324	382	706	128	345	25	8	315	99	—	—	—	—	—	—
2022	32	MLB MLE	Tampa Bay Rays	—	221	204	46	8	0	7	14	61	1	6	1	225	276	368	644	142	290	28	6	291	83	—	—	—	—	—	—
2023	33	MLB MLE	Toronto Blue Jays	—	408	372	98	21	6	8	29	86	4	14	1	263	325	417	742	153	321	21	7	326	107	—	—	—	—	—	—
2024	34	MLB MLE	Los Angeles Dodgers	—	281	265	53	10	4	5	12	86	2	6	2	200	245	325	570	125	272	31	4	247	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	MLB MLE	Los Angeles Dodgers	—	281	265	53	10	4	5	12	86	2	6	2	200	245	325	570	125	272	31	4	247	53	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4040	3682	905	170	60	95	277	908	41	132	39	246	306	402	708	156	300	22	7	312	89	-12	+11	+104	+8	+88	20.2
/ 162G	—	A+C		—	650	592	145	27	10	15	45	146	7	21	6	245	306	400	707	155	300	22	7	312	89	-2	+2	+17	+1	+14	3.3
Career	—	MLE		—	5854	5339	1291	226	96	106	378	1360	65	229	75	242	300	380	680	138	304	23	6	299	89	-12	+11	+104	+8	+88	20.2
/ 162G	—	MLE		—	650	593	144	25	11	12	42	151	7	25	8	243	301	383	683	140	305	23	6	299	89	-2	+2	+17	+1	+14	3.3

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 A+Charlotte Stone Crabs · 26 PAwOBA .195 → .141 (−54)K% 26.9% → 37.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.92%	÷1.017	×1.420	—	—	37.59%
BB% (unintentional) /PA	7.69%	÷0.967	×0.750	—	×0.958	5.72%
HBP% /PA	0.00%	—	×0.930	—	×0.958	0.00%
Singles /BIP	5.88%	÷1.073	×0.920	—	×0.958	4.83%
Doubles /BIP	5.88%	÷1.007	×0.960	—	×0.958	5.37%
Triples /BIP	5.88%	÷1.024	×0.810	—	×0.958	4.46%
Home runs /BIP	0.00%	÷0.917	×0.880	—	×0.958	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 83, 1B 115, 2B 102, 3B 105, K 103, BB 93 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .195 → .141; ISO .125 → .088; BABIP .176 → .147. 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 AAADurham Bulls · 143 PAwOBA .351 → .333 (−19)K% 16.1% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.08%	÷1.070	×1.200	—	—	18.05%
BB% (unintentional) /PA	8.39%	÷0.950	×0.690	—	×1.048	6.39%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	25.71%	÷1.005	×0.930	×1.021	×1.048	25.48%
Doubles /BIP	6.67%	÷1.023	×0.830	×1.021	×1.048	5.79%
Triples /BIP	1.90%	÷0.900	×0.970	×1.021	×1.048	2.20%
Home runs /BIP	2.86%	÷1.046	×0.840	—	×1.048	2.41%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 101, 2B 105, 3B 80, K 114, BB 90 — 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 ×1.021.

Result: wOBA .351 → .333; ISO .156 → .147; BABIP .350 → .340. 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 AAMontgomery Biscuits · 417 PAwOBA .348 → .322 (−26)K% 14.6% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.63%	÷0.987	×1.220	—	—	18.09%
BB% (unintentional) /PA	6.71%	÷1.003	×0.680	—	×1.027	4.68%
HBP% /PA	1.92%	—	×0.840	—	×1.027	1.66%
Singles /BIP	28.06%	÷1.009	×0.920	×1.050	×1.027	27.61%
Doubles /BIP	4.52%	÷1.036	×0.910	×1.050	×1.027	4.28%
Triples /BIP	2.90%	÷1.013	×0.880	×1.050	×1.027	2.72%
Home runs /BIP	1.61%	÷1.151	×0.800	—	×1.027	1.15%

Factors used: league row SL. Park (home-season share, regressed): HR 130, 1B 102, 2B 107, 3B 103, K 97, BB 101 — 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 ×1.050.

Result: wOBA .348 → .322; ISO .127 → .112; BABIP .357 → .347. 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 AAADurham Bulls · 154 PAwOBA .331 → .283 (−48)K% 16.9% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷0.988	×1.200	—	—	20.51%
BB% (unintentional) /PA	9.09%	÷1.093	×0.690	—	×1.050	6.03%
HBP% /PA	1.30%	—	×0.940	—	×1.050	1.28%
Singles /BIP	19.82%	÷1.032	×0.930	×0.970	×1.050	18.19%
Doubles /BIP	6.31%	÷1.113	×0.830	×0.970	×1.050	4.79%
Triples /BIP	5.41%	÷0.961	×0.970	×0.970	×1.050	5.56%
Home runs /BIP	0.90%	÷1.299	×0.840	—	×1.050	0.61%

Factors used: league row IL. Park (home-season share, regressed): HR 160, 1B 106, 2B 123, 3B 92, K 98, BB 119 — 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 ×0.970.

Result: wOBA .331 → .283; ISO .161 → .144; BABIP .315 → .284. 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 A+Charlotte Stone Crabs · 212 PAwOBA .314 → .270 (−44)K% 17.9% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.92%	÷1.020	×1.420	—	—	24.94%
BB% (unintentional) /PA	12.26%	÷0.966	×0.750	—	×1.012	9.64%
HBP% /PA	0.94%	—	×0.930	—	×1.012	0.89%
Singles /BIP	23.74%	÷1.067	×0.920	×1.050	×1.012	21.74%
Doubles /BIP	5.04%	÷1.002	×0.960	×1.050	×1.012	5.13%
Triples /BIP	4.32%	÷1.150	×0.810	×1.050	×1.012	3.23%
Home runs /BIP	0.00%	÷1.106	×0.880	—	×1.012	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 121, 1B 113, 2B 100, 3B 130, K 104, BB 93 — 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 ×1.050.

Result: wOBA .314 → .270; ISO .107 → .090; BABIP .331 → .301. 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 ABowling Green Hot Rods · 459 PAwOBA .287 → .239 (−48)K% 21.6% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.57%	÷0.985	×1.360	—	—	29.80%
BB% (unintentional) /PA	8.06%	÷0.956	×0.690	—	×1.015	5.90%
HBP% /PA	1.74%	—	×0.780	—	×1.015	1.38%
Singles /BIP	24.42%	÷1.043	×0.920	×1.050	×1.015	22.97%
Doubles /BIP	3.63%	÷0.968	×0.830	×1.050	×1.015	3.32%
Triples /BIP	2.64%	÷1.150	×0.910	×1.050	×1.015	2.23%
Home runs /BIP	1.32%	÷1.185	×0.800	—	×1.015	0.90%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 109, 2B 94, 3B 130, K 97, BB 91 — 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 ×1.050.

Result: wOBA .287 → .239; ISO .097 → .075; BABIP .308 → .285. 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 ROKPrinceton Rays · 246 PAwOBA .350 → .265 (−85)K% 22.0% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.95%	÷1.000	×1.420	—	—	31.17%
BB% (unintentional) /PA	8.94%	÷1.000	×0.640	—	×0.995	5.69%
HBP% /PA	1.22%	—	×0.740	—	×0.995	0.90%
Singles /BIP	29.88%	÷1.000	×0.840	×1.050	×0.995	26.22%
Doubles /BIP	4.88%	÷1.000	×0.740	×1.050	×0.995	3.77%
Triples /BIP	4.27%	÷1.000	×0.740	×1.050	×0.995	3.30%
Home runs /BIP	1.22%	÷1.000	×0.800	—	×0.995	0.97%

Factors used: level-wide ROK 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 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .350 → .265; ISO .128 → .093; BABIP .395 → .336. 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 — .