Pete Kozma

PosSS

B/TR/R

Born1988-04-11

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	31	AAA/INTL2 orgs	488	.249/.324/.374	10	8	70	—	.225/.287/.360
2021	33	AAAOAK	500	.244/.308/.337	4	6	30	—	.186/.230/.258
2022	34	INTLPerth Heat	164	.277/.340/.392	2	2	107	—

Contract

No contract data on file.

Scouting grades · 20-80

Power33Speed58Eye54

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	19	ROK	Johnson City Cardinals	—	135	119	30	8	0	2	14	23	2	3	2	252	341	370	710	118	298	17	10	324	47	—	—	—	—	—	—
2008	20	A+	Palm Beach Cardinals	—	94	77	10	4	0	0	10	27	1	0	1	130	239	182	420	52	189	29	11	194	-2	—	—	—	—	—	—
2008	20	A	Quad Cities River Bandits	—	434	377	107	20	4	5	45	69	5	12	5	284	368	398	766	114	330	16	10	341	83	—	—	—	—	—	—
2009	21	AA	Springfield Cardinals	—	459	407	88	15	3	6	42	88	1	4	2	216	291	312	603	96	258	19	9	271	47	—	—	—	—	—	—
2009	21	A+	Palm Beach Cardinals	—	84	73	23	5	0	0	8	16	1	1	0	315	390	384	774	68	390	19	10	346	88	—	—	—	—	—	—
2010	22	AA	Springfield Cardinals	—	570	503	122	28	2	13	56	111	1	13	2	243	320	384	703	141	285	19	10	311	59	—	—	—	—	—	—
2010	22	INTL	Surprise Rafters	—	73	67	18	7	2	0	6	18	0	1	1	269	329	433	762	164	367	25	8	336	114	—	—	—	—	—	—
2011	23	MLB	St. Louis Cardinals	—	22	17	3	1	0	0	4	4	0	0	0	176	333	235	569	59	231	18	18	267	68	-1	+0	+1	+2	+0	0.3
2011	23	AAA	Memphis Redbirds	—	448	398	85	17	2	3	36	91	3	2	2	214	284	289	573	75	265	20	8	258	34	—	—	—	—	—	—
2012	24	MLB	St. Louis Cardinals	—	82	72	24	5	3	2	7	19	0	2	0	333	392	569	962	236	415	23	9	402	154	+5	+0	+2	+6	+2	1.6
2012	24	AAA	Memphis Redbirds	—	500	448	104	16	3	11	41	74	0	7	4	232	297	355	651	123	251	15	8	288	51	—	—	—	—	—	—
2013	25	MLB	St. Louis Cardinals	—	448	410	89	20	0	1	34	91	0	3	1	217	277	273	550	56	274	20	8	252	48	-28	+0	+14	+5	+10	0.0
2014	26	MLB	St. Louis Cardinals	—	26	23	7	3	0	0	3	4	0	0	0	304	385	435	819	130	368	15	12	368	132	+1	+0	+0	+2	+1	0.3
2014	26	AAA	Memphis Redbirds	—	437	379	94	23	0	8	41	61	7	10	7	248	333	372	705	124	275	14	9	313	62	—	—	—	—	—	—
2015	27	MLB	St. Louis Cardinals	—	111	99	15	0	0	0	10	21	1	3	1	152	236	152	388		192	19	9	192	8	-12	+0	+1	+1	+2	-0.7
2016	28	AAA	Scranton/Wilkes-Barre RailRiders	—	488	445	93	19	0	2	31	91	6	11	4	209	270	265	535	56	256	19	6	245	24	—	—	—	—	—	—
2017	29	MLB	Texas Rangers	—	51	45	5	0	0	1	3	20	2	0	1	111	200	178	378	67	167	39	6	182	6	-6	-0	-1	+0	+1	-0.6
2017	29	AAA	Round Rock Express	—	42	40	12	4	0	0	2	8	0	1	0	300	333	400	733	100	375	19	5	328	53	—	—	—	—	—	—
2018	30	MLB	Detroit Tigers	—	73	69	15	4	1	1	2	15	0	0	1	217	239	348	587	130	259	21	3	252	60	-4	-0	+4	+6	+2	0.8
2018	30	AAA	Toledo Mud Hens	—	296	271	55	18	2	1	19	52	3	6	1	203	263	295	558	92	244	18	6	252	21	—	—	—	—	—	—
2018	30	INTL	Perth Heat	—	182	158	46	8	2	4	22	25	2	3	2	291	385	443	828	152	326	14	12	371	138	—	—	—	—	—	—
2019	31	AAA	Toledo Mud Hens	—	322	278	73	17	2	7	32	49	4	2	0	263	347	414	761	151	288	15	10	334	73	—	—	—	—	—	—
2019	31	INTL	Perth Heat	—	166	152	34	3	0	3	11	21	1	6	3	224	280	303	583	79	238	13	7	264	65	—	—	—	—	—	—
2021	33	AAA	Las Vegas Aviators	—	500	454	111	24	3	4	37	97	5	6	1	244	308	337	645	93	301	19	7	292	30	—	—	—	—	—	—
2022	34	INTL	Perth Heat	—	164	148	41	9	1	2	12	15	2	2	0	277	340	392	731	115	293	9	7	326	107	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	813	735	158	33	4	5	63	174	3	8	4	215	280	291	571	76	272	21	8	259	61	-37	+0	+21	+22	+18	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	19	ROK MLE	Johnson City Cardinals	—	135	124	24	6	0	2	9	33	2	3	2	194	259	290	550	97	245	24	7	237	47	—	—	—	—	—	—
2008	20	A+ MLE	Palm Beach Cardinals	—	94	79	9	4	0	0	8	38	1	0	1	114	205	165	369	51	174	40	9	165	-2	—	—	—	—	—	—
2008	20	A MLE	Quad Cities River Bandits	—	434	390	98	17	4	4	32	94	5	12	5	251	316	346	662	95	307	22	7	291	83	—	—	—	—	—	—
2009	21	AA MLE	Springfield Cardinals	—	459	418	83	13	3	5	31	107	1	4	2	199	256	280	535	81	243	23	7	237	47	—	—	—	—	—	—
2009	21	A+ MLE	Palm Beach Cardinals	—	84	75	21	5	0	0	6	23	1	1	0	280	341	347	688	67	362	27	7	299	88	—	—	—	—	—	—
2010	22	AA MLE	Springfield Cardinals	—	570	521	108	23	2	10	38	134	1	13	2	207	263	317	579	109	253	24	7	255	59	—	—	—	—	—	—
2011	23	MLB MLE	St. Louis Cardinals	—	22	17	3	1	0	0	4	4	0	0	0	176	333	235	569	59	231	18	18	268	68	-1	+0	+1	+2	+0	0.3
2011	23	AAA MLE	Memphis Redbirds	—	448	410	78	15	2	3	24	120	3	2	2	190	240	259	499	68	244	27	5	219	34	—	—	—	—	—	—
2012	24	MLB MLE	St. Louis Cardinals	—	82	73	24	5	3	2	6	19	0	2	0	329	380	562	941	233	415	23	7	396	154	+5	+0	+2	+6	+2	1.6
2012	24	AAA MLE	Memphis Redbirds	—	500	460	94	14	2	9	30	92	0	7	4	204	254	302	556	98	226	18	6	244	51	—	—	—	—	—	—
2013	25	MLB MLE	St. Louis Cardinals	—	448	418	88	19	0	1	26	91	0	3	1	211	257	263	520	53	274	20	6	239	48	-28	+0	+14	+5	+10	0.0
2014	26	MLB MLE	St. Louis Cardinals	—	26	23	7	3	0	0	3	4	0	0	0	304	385	435	819	130	368	15	12	364	132	+1	+0	+0	+2	+1	0.3
2014	26	AAA MLE	Memphis Redbirds	—	437	391	83	21	0	6	29	79	7	10	7	212	279	312	591	100	242	18	7	260	62	—	—	—	—	—	—
2015	27	MLB MLE	St. Louis Cardinals	—	111	101	15	0	0	0	8	21	1	3	1	149	218	149	367		192	19	7	180	8	-12	+0	+1	+1	+2	-0.7
2016	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	488	454	83	15	0	2	22	110	6	11	4	183	230	229	459	46	230	23	5	204	24	—	—	—	—	—	—
2017	29	MLB MLE	Texas Rangers	—	51	45	5	0	0	1	3	20	2	0	1	111	200	178	378	67	167	39	6	176	6	-6	-0	-1	+0	+1	-0.6
2017	29	AAA MLE	Round Rock Express	—	42	41	10	3	0	0	1	10	0	1	0	244	262	317	579	73	308	24	2	246	53	—	—	—	—	—	—
2018	30	MLB MLE	Detroit Tigers	—	73	69	15	4	1	1	2	15	0	0	1	217	239	348	587	130	259	21	3	256	60	-4	-0	+4	+6	+2	0.8
2018	30	AAA MLE	Toledo Mud Hens	—	296	277	45	13	2	1	13	62	3	6	1	162	208	235	443	72	203	21	4	199	21	—	—	—	—	—	—
2019	31	AAA MLE	Toledo Mud Hens	—	322	289	65	14	2	7	21	56	4	2	0	225	287	360	646	135	236	17	7	276	73	—	—	—	—	—	—
2021	33	AAA MLE	Las Vegas Aviators	—	500	469	87	19	3	3	22	117	5	6	1	186	230	258	488	72	235	23	4	213	30	—	—	—	—	—	—
2007	19	ROK MLE	Johnson City Cardinals	—	135	124	24	6	0	2	9	33	2	3	2	194	259	290	550	97	247	24	7	237	47	—	—	—	—	—	—
2007	19	ROK RAW	Johnson City Cardinals	—	135	119	30	8	0	2	14	23	2	3	2	252	341	370	710	118	298	17	10	324	47	—	—	—	—	—	—
2008	20	A MLE	2 teams	—	528	469	107	21	4	4	40	132	6	12	6	228	297	316	613	87	301	25	8	269	68	—	—	—	—	—	—
2008	20	A RAW	2 teams	—	528	454	117	24	4	5	55	96	6	12	6	258	346	361	707	104	309	18	10	315	68	—	—	—	—	—	—
2009	21	AA MLE	2 teams	—	543	493	103	18	3	5	37	130	2	5	2	209	267	288	555	79	268	24	7	247	53	—	—	—	—	—	—
2009	21	AA RAW	2 teams	—	543	480	111	20	3	6	50	104	2	5	2	231	306	323	629	92	279	19	9	283	53	—	—	—	—	—	—
2010	22	AA MLE	2 teams	—	643	589	122	26	2	11	43	151	1	14	3	207	262	314	576	107	258	23	7	255	59	—	—	—	—	—	—
2010	22	AA RAW	2 teams	—	643	570	140	35	4	13	62	129	1	14	3	246	321	389	710	144	295	20	10	314	59	—	—	—	—	—	—
2011	23	AAA MLE	2 teams	—	470	427	81	16	2	3	28	124	3	2	2	190	245	258	502	68	255	26	6	221	36	—	—	—	—	—	—
2011	23	AAA RAW	2 teams	—	470	415	88	18	2	3	40	95	3	2	2	212	286	287	573	75	263	20	9	259	36	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	582	532	118	19	5	11	36	112	0	9	4	222	271	338	609	117	256	19	6	265	66	—	—	—	—	—	—
2012	24	AAA RAW	2 teams	—	582	520	128	21	6	13	48	93	0	9	4	246	310	385	694	138	272	16	8	304	66	—	—	—	—	—	—
2013	25	MLB MLE	St. Louis Cardinals	—	448	418	88	19	0	1	26	91	0	3	1	211	257	263	520	53	264	20	6	239	48	-28	+0	+14	+5	+10	0.0
2013	25	MLB RAW	St. Louis Cardinals	—	448	410	89	20	0	1	34	91	0	3	1	217	277	273	550	56	274	20	8	252	48	-28	+0	+14	+5	+10	0.0
2014	26	AAA MLE	2 teams	—	463	414	90	24	0	6	32	83	7	10	7	217	285	319	604	101	256	18	7	266	66	—	—	—	—	—	—
2014	26	AAA RAW	2 teams	—	463	402	101	26	0	8	44	65	7	10	7	251	336	376	711	124	280	14	10	316	66	—	—	—	—	—	—
2015	27	MLB MLE	St. Louis Cardinals	—	111	101	15	0	0	0	8	21	1	3	1	149	218	149	367		188	19	7	180	8	-12	+0	+1	+1	+2	-0.7
2015	27	MLB RAW	St. Louis Cardinals	—	111	99	15	0	0	0	10	21	1	3	1	152	236	152	388		192	19	9	192	8	-12	+0	+1	+1	+2	-0.7
2016	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	488	454	83	15	0	2	22	110	6	11	4	183	230	229	459	46	235	23	5	204	24	—	—	—	—	—	—
2016	28	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	488	445	93	19	0	2	31	91	6	11	4	209	270	265	535	56	256	19	6	245	24	—	—	—	—	—	—
2017	29	MLB MLE	2 teams	—	93	86	15	3	0	1	4	30	2	1	1	174	228	244	472	70	255	32	4	208	27	-8	-0	-1	+0	+2	-0.7
2017	29	MLB RAW	2 teams	—	93	85	17	4	0	1	5	28	2	1	1	200	261	282	543	82	286	30	5	248	27	-8	-0	-1	+0	+2	-0.7
2018	30	AAA MLE	3 teams	—	551	519	91	26	4	3	22	115	5	9	4	175	216	258	474	83	217	21	4	210	29	—	—	—	—	—	—
2018	30	AAA RAW	3 teams	—	551	498	116	30	5	6	43	92	5	9	4	233	300	349	650	116	272	17	8	292	29	—	—	—	—	—	—
2019	31	AAA MLE	2 teams	—	488	441	97	21	3	10	32	84	5	8	3	220	280	349	630	129	244	17	7	276	73	—	—	—	—	—	—
2019	31	AAA RAW	2 teams	—	488	430	107	20	2	10	43	70	5	8	3	249	324	374	699	126	270	14	9	310	73	—	—	—	—	—	—
2021	33	AAA MLE	Las Vegas Aviators	—	500	469	87	19	3	3	22	117	5	6	1	186	230	258	488	72	239	23	4	213	30	—	—	—	—	—	—
2021	33	AAA RAW	Las Vegas Aviators	—	500	454	111	24	3	4	37	97	5	6	1	244	308	337	645	93	301	19	7	292	30	—	—	—	—	—	—
2022	34	INTL MLE	Perth Heat	—	164	148	41	9	1	2	12	15	2	2	0	277	340	392	731	115	293	9	7	—	—	—	—	—	—	—	—
2022	34	INTL RAW	Perth Heat	—	164	148	41	9	1	2	12	15	2	2	0	277	340	392	731	115	293	9	7	326	107	—	—	—	—	—	—
2007	19	ROK MLE	Johnson City Cardinals	—	135	123	24	6	0	2	9	33	2	3	2	195	259	293	552	98	245	24	7	237	47	—	—	—	—	—	—
2008	20	A MLE	2 teams	—	528	477	107	21	4	4	40	132	6	12	6	224	297	310	607	86	283	25	8	269	68	—	—	—	—	—	—
2009	21	AA MLE	2 teams	—	543	499	103	18	3	5	37	130	2	5	2	206	267	285	551	78	261	24	7	247	53	—	—	—	—	—	—
2010	22	AA MLE	2 teams	—	643	594	122	26	2	11	43	151	1	14	3	205	262	311	574	106	253	23	7	255	59	—	—	—	—	—	—
2011	23	AAA MLE	2 teams	—	470	436	81	16	2	3	28	124	3	2	2	186	245	252	497	67	243	26	6	221	36	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	582	541	118	19	5	11	36	112	0	9	4	218	271	333	604	115	253	19	6	265	66	—	—	—	—	—	—
2013	25	MLB MLE	St. Louis Cardinals	—	448	419	88	19	0	1	26	91	0	3	1	210	257	263	519	53	274	20	6	239	48	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	463	421	90	24	0	6	32	83	7	10	7	214	285	314	598	100	249	18	7	266	66	—	—	—	—	—	—
2015	27	MLB MLE	St. Louis Cardinals	—	111	101	15	0	0	0	8	21	1	3	1	149	218	149	367		192	19	7	180	8	—	—	—	—	—	—
2016	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	488	457	83	15	0	2	22	110	6	11	4	182	230	228	458	46	230	23	5	204	24	—	—	—	—	—	—
2017	29	MLB MLE	2 teams	—	93	87	15	3	0	1	4	30	2	1	1	172	228	241	470	69	230	32	4	208	27	—	—	—	—	—	—
2018	30	AAA MLE	3 teams	—	551	519	91	26	4	3	22	115	5	9	4	175	216	258	474	83	214	21	4	210	29	—	—	—	—	—	—
2019	31	AAA MLE	2 teams	—	488	448	97	21	3	10	32	84	5	8	3	217	280	344	624	127	236	17	7	276	73	—	—	—	—	—	—
2021	33	AAA MLE	Las Vegas Aviators	—	500	469	87	19	3	3	22	117	5	6	1	186	230	258	488	72	235	23	4	213	30	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	813	735	158	33	4	5	63	174	3	8	4	215	280	291	571	76	272	21	8	259	45	-37	+0	+21	+22	+18	2.4
/ 162G	—	A+C		—	650	588	126	26	3	4	50	139	2	6	3	214	278	289	567	75	271	21	8	259	45	-30	+0	+17	+17	+14	1.9
Career	—	MLE		—	6207	5684	1162	242	27	64	373	1348	47	98	41	204	259	290	549	86	253	22	6	235	45	-37	+0	+21	+22	+18	2.4
/ 162G	—	MLE		—	650	595	122	25	3	7	39	141	5	10	4	205	260	292	552	87	254	22	6	235	45	-30	+0	+17	+17	+14	1.9

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.

2021 AAALas Vegas Aviators · 500 PAwOBA .285 → .213 (−72)K% 19.4% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.40%	÷0.994	×1.200	—	—	23.42%
BB% (unintentional) /PA	7.40%	÷1.083	×0.690	—	×0.942	4.44%
HBP% /PA	1.00%	—	×0.940	—	×0.942	0.89%
Singles /BIP	22.41%	÷1.156	×0.930	×1.022	×0.942	17.35%
Doubles /BIP	6.72%	÷1.018	×0.830	×1.022	×0.942	5.28%
Triples /BIP	0.84%	÷0.956	×0.920	×1.022	×0.942	0.78%
Home runs /BIP	1.12%	÷0.941	×0.700	—	×0.942	0.79%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 131, 2B 104, 3B 91, K 99, BB 117 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .285 → .213; ISO .093 → .072; BABIP .301 → .235. 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).

2019 AAAToledo Mud Hens · 322 PAwOBA .332 → .276 (−56)K% 15.2% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.22%	÷1.056	×1.200	—	—	17.30%
BB% (unintentional) /PA	9.94%	÷1.004	×0.690	—	×0.962	6.57%
HBP% /PA	1.24%	—	×0.940	—	×0.962	1.12%
Singles /BIP	20.52%	÷1.013	×0.930	×0.950	×0.962	17.22%
Doubles /BIP	7.42%	÷0.995	×0.830	×0.950	×0.962	5.66%
Triples /BIP	0.87%	÷1.096	×0.970	×0.950	×0.962	0.71%
Home runs /BIP	3.06%	÷0.888	×0.840	—	×0.962	2.78%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 103, 2B 99, 3B 119, K 111, BB 101 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .332 → .276; ISO .151 → .134; BABIP .288 → .236. 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 AAAToledo Mud Hens · 296 PAwOBA .248 → .199 (−50)K% 17.6% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.57%	÷1.011	×1.200	—	—	20.86%
BB% (unintentional) /PA	6.42%	÷0.980	×0.690	—	×0.972	4.39%
HBP% /PA	1.01%	—	×0.940	—	×0.972	0.93%
Singles /BIP	15.53%	÷1.005	×0.930	×0.966	×0.972	13.49%
Doubles /BIP	8.22%	÷1.038	×0.830	×0.966	×0.972	6.17%
Triples /BIP	0.91%	÷1.038	×0.970	×0.966	×0.972	0.80%
Home runs /BIP	0.46%	÷0.893	×0.840	—	×0.972	0.42%

Factors used: league row IL. Park (home-season share, regressed): HR 79, 1B 101, 2B 108, 3B 108, K 102, BB 96 — 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 ×0.966.

Result: wOBA .248 → .199; ISO .092 → .073; BABIP .244 → .203. 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 AAARound Rock Express · 42 PAwOBA .319 → .246 (−73)K% 19.0% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷1.033	×1.290	—	—	23.78%
BB% (unintentional) /PA	4.76%	÷1.037	×0.710	—	×0.982	3.20%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	25.00%	÷1.039	×0.900	—	×0.982	21.27%
Doubles /BIP	12.50%	÷1.039	×0.810	—	×0.982	9.57%
Triples /BIP	0.00%	÷1.046	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.117	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 108, 2B 108, 3B 109, K 107, BB 107 — 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).

Result: wOBA .319 → .246; ISO .100 → .073; BABIP .375 → .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).

2016 AAAScranton/Wilkes-Barre RailRiders · 488 PAwOBA .241 → .204 (−37)K% 18.6% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.65%	÷0.994	×1.200	—	—	22.51%
BB% (unintentional) /PA	6.35%	÷0.977	×0.690	—	×0.992	4.45%
HBP% /PA	1.23%	—	×0.940	—	×0.992	1.15%
Singles /BIP	20.34%	÷0.991	×0.930	×0.998	×0.992	18.91%
Doubles /BIP	5.37%	÷1.059	×0.830	×0.998	×0.992	4.17%
Triples /BIP	0.00%	÷0.900	×0.970	×0.998	×0.992	0.00%
Home runs /BIP	0.56%	÷0.996	×0.840	—	×0.992	0.47%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 98, 2B 112, 3B 80, K 99, BB 95 — 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 ×0.998.

Result: wOBA .241 → .204; ISO .056 → .044; BABIP .256 → .230. 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 AAAMemphis Redbirds · 437 PAwOBA .307 → .260 (−47)K% 14.0% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.96%	÷0.997	×1.290	—	—	18.06%
BB% (unintentional) /PA	9.38%	÷1.031	×0.710	—	×1.018	6.58%
HBP% /PA	1.60%	—	×0.980	—	×1.018	1.60%
Singles /BIP	19.81%	÷1.034	×0.900	×0.997	×1.018	17.50%
Doubles /BIP	7.23%	÷0.917	×0.810	×0.997	×1.018	6.48%
Triples /BIP	0.00%	÷0.900	×0.810	×0.997	×1.018	0.00%
Home runs /BIP	2.52%	÷1.036	×0.780	—	×1.018	1.93%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 83, 3B 80, K 99, BB 106 — 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 ×0.997.

Result: wOBA .307 → .260; ISO .124 → .104; BABIP .275 → .242. 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 AAAMemphis Redbirds · 500 PAwOBA .283 → .244 (−39)K% 14.8% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.80%	÷1.033	×1.290	—	—	18.48%
BB% (unintentional) /PA	8.00%	÷1.014	×0.710	—	×1.048	5.87%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	19.79%	÷0.985	×0.900	×0.958	×1.048	18.15%
Doubles /BIP	4.28%	÷0.916	×0.810	×0.958	×1.048	3.80%
Triples /BIP	0.80%	÷1.150	×0.810	×0.958	×1.048	0.57%
Home runs /BIP	2.94%	÷0.993	×0.780	—	×1.048	2.42%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 97, 2B 83, 3B 130, K 107, 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 ×0.958.

Result: wOBA .283 → .244; ISO .123 → .103; BABIP .251 → .226. 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 AAAMemphis Redbirds · 448 PAwOBA .252 → .219 (−33)K% 20.3% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.31%	÷0.979	×1.290	—	—	26.77%
BB% (unintentional) /PA	7.37%	÷1.008	×0.710	—	×1.050	5.45%
HBP% /PA	0.67%	—	×0.980	—	×1.050	0.69%
Singles /BIP	20.52%	÷0.982	×0.900	×0.970	×1.050	19.15%
Doubles /BIP	5.54%	÷0.923	×0.810	×0.970	×1.050	4.95%
Triples /BIP	0.65%	÷0.999	×0.810	×0.970	×1.050	0.54%
Home runs /BIP	0.98%	÷0.893	×0.780	—	×1.050	0.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 79, 1B 96, 2B 85, 3B 100, K 96, BB 102 — 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 .252 → .219; ISO .075 → .066; BABIP .265 → .244. 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 — .