Brendan Ryan

PosSS

B/TR/R

Born1982-03-26

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	33	AATrenton Thund…	29	.240/.345/.280	0	0	47	—	.231/.310/.269
2015	33	MLBNYY	103	.229/.275/.333	0	0	69	-0.2
2016	34	AAALAA	295	.241/.301/.305	1	7	22	—	.179/.221/.223
2017	35	AAADET	408	.236/.325/.326	4	5	43	—	.191/.253/.261
2018	36	No MLB games played
2019	37	No MLB games played
2020	38	No MLB games played
2021	39	No MLB games played
2022	40	No MLB games played
2023	41	No MLB games played
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR -0.2

Contract

No contract data on file.

Scouting grades · 20-80

Power34Speed56Eye37

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	23	AA	Springfield Cardinals	—	174	154	42	8	1	2	15	19	2	6	0	273	345	377	722	104	299	11	9	322	84	—	—	—	—	—	—
2005	23	A+	Palm Beach Cardinals	—	207	188	57	17	0	1	15	20	0	8	1	303	355	410	764	106	335	10	7	337	92	—	—	—	—	—	—
2006	24	AAA	Memphis Redbirds	—	27	26	4	0	0	1	1	3	0	1	0	154	185	269	454	115	136	11	4	203	0	—	—	—	—	—	—
2006	24	AA	Springfield Cardinals	—	47	43	13	1	0	0	3	6	0	1	1	302	348	326	673	23	351	13	6	303	66	—	—	—	—	—	—
2007	25	MLB	St. Louis Cardinals	—	199	180	52	9	0	4	15	19	1	7	0	289	347	406	752	117	306	10	8	334	112	+3	+1	+2	+6	+4	1.6
2007	25	AAA	Memphis Redbirds	—	353	323	88	9	5	1	25	39	2	17	6	272	329	341	669	68	306	11	7	302	65	—	—	—	—	—	—
2008	26	MLB	St. Louis Cardinals	—	218	197	48	9	0	0	16	31	2	7	2	244	307	289	596	46	289	14	7	273	71	-8	+1	+5	+4	+5	0.6
2008	26	AAA	Memphis Redbirds	—	88	80	19	5	0	3	4	17	1	1	0	237	282	412	695	175	262	19	5	297	55	—	—	—	—	—	—
2008	26	AA	Springfield Cardinals	—	21	19	7	3	0	1	1	6	1	1	0	368	429	684	1.113	316	500	29	5	480	135	—	—	—	—	—	—
2009	27	MLB	St. Louis Cardinals	—	429	390	114	19	7	3	24	56	6	14	7	292	343	400	743	108	332	13	6	326	104	+2	+0	+13	+5	+9	2.9
2010	28	MLB	St. Louis Cardinals	—	486	439	98	19	3	2	33	60	2	11	4	223	281	294	574	71	253	12	7	257	55	-26	+1	+19	+5	+11	1.0
2011	29	MLB	Seattle Mariners	—	494	436	108	19	3	3	34	87	10	13	3	248	317	326	642	78	299	18	7	287	82	-11	+1	+16	+5	+11	2.3
2012	30	MLB	Seattle Mariners	—	470	407	79	19	3	3	44	98	5	11	5	194	281	278	558	84	244	21	9	253	58	-23	+0	+18	+5	+10	1.1
2013	31	MLB	New York Yankees	—	349	319	63	12	0	4	23	73	2	4	2	197	256	273	529	75	243	21	7	240	47	-22	+0	+11	+4	+8	-0.0
2014	32	MLB	New York Yankees	—	124	114	19	4	0	0	4	30	3	0	2	167	215	202	417	35	221	24	3	191	16	-12	-1	+3	+2	+3	-0.6
2014	32	A+	Tampa Yankees	—	17	14	4	0	0	0	3	3	0	0	0	286	412	286	697		364	18	18	336	57	—	—	—	—	—	—
2015	33	MLB	New York Yankees	—	103	96	22	6	2	0	5	29	1	0	0	229	275	333	608	104	328	28	5	270	69	-4	+0	-1	+0	+2	-0.2
2015	33	AA	Trenton Thunder	—	29	25	6	1	0	0	3	6	1	0	0	240	345	280	625	40	316	21	10	298	47	—	—	—	—	—	—
2016	34	AAA	Salt Lake Bees	—	295	266	64	10	2	1	22	65	1	7	3	241	301	305	606	64	310	22	7	273	22	—	—	—	—	—	—
2017	35	AAA	Toledo Mud Hens	—	408	356	84	20	0	4	45	74	2	5	7	236	325	326	651	90	286	18	11	297	43	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2872	2578	603	116	18	19	198	483	32	67	25	234	297	315	612	81	279	17	7	274	71	-98	+3	+85	+35	+62	9.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	AA MLE	Springfield Cardinals	—	174	158	41	7	1	2	11	23	2	6	0	259	316	354	670	95	290	13	6	293	84	—	—	—	—	—	—
2005	23	A+ MLE	Palm Beach Cardinals	—	207	192	55	17	0	1	11	28	0	8	1	286	325	391	716	104	323	14	5	304	92	—	—	—	—	—	—
2006	24	AAA MLE	Memphis Redbirds	—	27	26	4	0	0	1	1	4	0	1	0	154	185	269	454	115	128	15	4	168	0	—	—	—	—	—	—
2006	24	AA MLE	Springfield Cardinals	—	47	44	12	1	0	0	2	7	0	1	1	273	304	295	600	23	325	15	4	266	66	—	—	—	—	—	—
2007	25	MLB MLE	St. Louis Cardinals	—	199	180	52	9	0	4	15	19	1	7	0	289	347	406	752	117	306	10	8	334	112	+3	+1	+2	+6	+4	1.6
2007	25	AAA MLE	Memphis Redbirds	—	353	330	82	8	4	1	18	50	2	17	6	248	291	306	597	58	288	14	5	265	65	—	—	—	—	—	—
2008	26	MLB MLE	St. Louis Cardinals	—	218	197	48	9	0	0	16	31	2	7	2	244	307	289	596	46	289	14	7	273	71	-8	+1	+5	+4	+5	0.6
2008	26	AAA MLE	Memphis Redbirds	—	88	81	16	4	0	2	3	22	1	1	0	198	235	321	556	123	238	25	3	249	55	—	—	—	—	—	—
2008	26	AA MLE	Springfield Cardinals	—	21	19	6	2	0	1	1	7	1	1	0	316	381	579	960	263	427	33	5	367	135	—	—	—	—	—	—
2009	27	MLB MLE	St. Louis Cardinals	—	429	393	114	19	7	3	21	56	6	14	7	290	336	397	733	107	332	13	5	322	104	+2	+0	+13	+5	+9	2.9
2010	28	MLB MLE	St. Louis Cardinals	—	486	444	97	18	3	2	28	60	2	11	4	218	268	286	554	68	253	12	6	249	55	-26	+1	+19	+5	+11	1.0
2011	29	MLB MLE	Seattle Mariners	—	494	436	108	19	3	3	34	87	10	13	3	248	317	326	642	78	299	18	7	289	82	-11	+1	+16	+5	+11	2.3
2012	30	MLB MLE	Seattle Mariners	—	470	407	79	19	3	3	44	98	5	11	5	194	281	278	558	84	244	21	9	255	58	-23	+0	+18	+5	+10	1.1
2013	31	MLB MLE	New York Yankees	—	349	320	63	12	0	4	22	73	2	4	2	197	253	272	525	75	243	21	6	237	47	-22	+0	+11	+4	+8	-0.0
2014	32	MLB MLE	New York Yankees	—	124	114	19	4	0	0	4	30	3	0	2	167	215	202	417	35	221	24	3	192	16	-12	-1	+3	+2	+3	-0.6
2014	32	A+ MLE	Tampa Yankees	—	17	15	3	0	0	0	2	4	0	0	0	200	294	200	494		309	24	12	253	57	—	—	—	—	—	—
2015	33	MLB MLE	New York Yankees	—	103	96	22	6	2	0	5	29	1	0	0	229	275	333	608	104	328	28	5	271	69	-4	+0	-1	+0	+2	-0.2
2015	33	AA MLE	Trenton Thunder	—	29	26	6	1	0	0	2	8	1	0	0	231	310	269	580	38	289	28	7	238	47	—	—	—	—	—	—
2016	34	AAA MLE	Salt Lake Bees	—	295	274	49	7	1	1	14	86	1	7	3	179	221	223	444	44	249	29	5	200	22	—	—	—	—	—	—
2017	35	AAA MLE	Toledo Mud Hens	—	408	372	71	17	0	3	29	89	2	5	7	191	253	261	514	70	237	22	7	232	43	—	—	—	—	—	—
2005	23	A+ MLE	2 teams	—	381	350	96	24	1	3	22	52	2	14	1	274	321	374	695	100	314	14	6	299	88	—	—	—	—	—	—
2005	23	A+ RAW	2 teams	—	381	342	99	25	1	3	30	39	2	14	1	289	350	395	745	105	319	10	8	330	88	—	—	—	—	—	—
2006	24	AA MLE	2 teams	—	74	70	16	1	0	1	3	11	0	2	1	229	260	286	546	57	259	15	4	230	42	—	—	—	—	—	—
2006	24	AA RAW	2 teams	—	74	69	17	1	0	1	4	9	0	2	1	246	288	304	592	58	271	12	5	267	42	—	—	—	—	—	—
2007	25	AAA MLE	2 teams	—	552	510	134	17	4	5	33	69	3	24	6	263	311	341	653	78	295	12	6	290	82	—	—	—	—	—	—
2007	25	AAA RAW	2 teams	—	552	503	140	18	5	5	40	58	3	24	6	278	335	364	699	85	306	11	7	314	82	—	—	—	—	—	—
2008	26	MLB MLE	3 teams	—	327	297	71	16	0	3	20	60	4	9	2	239	296	323	619	84	289	18	6	272	71	-11	+1	+5	+4	+7	0.5
2008	26	MLB RAW	3 teams	—	327	296	74	17	0	4	21	54	4	9	2	250	308	348	656	98	293	17	6	293	71	-11	+1	+5	+4	+7	0.5
2009	27	MLB MLE	St. Louis Cardinals	—	429	393	114	19	7	3	21	56	6	14	7	290	336	397	733	107	329	13	5	322	104	+2	+0	+13	+5	+9	2.9
2009	27	MLB RAW	St. Louis Cardinals	—	429	390	114	19	7	3	24	56	6	14	7	292	343	400	743	108	332	13	6	326	104	+2	+0	+13	+5	+9	2.9
2010	28	MLB MLE	St. Louis Cardinals	—	486	444	97	18	3	2	28	60	2	11	4	218	268	286	554	68	247	12	6	249	55	-26	+1	+19	+5	+11	1.0
2010	28	MLB RAW	St. Louis Cardinals	—	486	439	98	19	3	2	33	60	2	11	4	223	281	294	574	71	253	12	7	257	55	-26	+1	+19	+5	+11	1.0
2011	29	MLB MLE	Seattle Mariners	—	494	436	108	19	3	3	34	87	10	13	3	248	317	326	642	78	299	18	7	289	82	-11	+1	+16	+5	+11	2.3
2011	29	MLB RAW	Seattle Mariners	—	494	436	108	19	3	3	34	87	10	13	3	248	317	326	642	78	299	18	7	287	82	-11	+1	+16	+5	+11	2.3
2012	30	MLB MLE	Seattle Mariners	—	470	407	79	19	3	3	44	98	5	11	5	194	281	278	558	84	244	21	9	255	58	-23	+0	+18	+5	+10	1.1
2012	30	MLB RAW	Seattle Mariners	—	470	407	79	19	3	3	44	98	5	11	5	194	281	278	558	84	244	21	9	253	58	-23	+0	+18	+5	+10	1.1
2013	31	MLB MLE	New York Yankees	—	349	320	63	12	0	4	22	73	2	4	2	197	253	272	525	75	242	21	6	237	47	-22	+0	+11	+4	+8	-0.0
2013	31	MLB RAW	New York Yankees	—	349	319	63	12	0	4	23	73	2	4	2	197	256	273	529	75	243	21	7	240	47	-22	+0	+11	+4	+8	-0.0
2014	32	MLB MLE	2 teams	—	141	129	22	4	0	0	6	34	3	0	2	171	225	202	426	31	227	24	4	199	21	-13	-1	+3	+2	+3	-0.7
2014	32	MLB RAW	2 teams	—	141	128	23	4	0	0	7	33	3	0	2	180	239	211	450	31	237	23	5	209	21	-13	-1	+3	+2	+3	-0.7
2015	33	MLB MLE	2 teams	—	132	122	28	7	2	0	7	37	2	0	0	230	282	320	602	90	329	28	5	264	65	-6	+0	-1	+0	+3	-0.4
2015	33	MLB RAW	2 teams	—	132	121	28	7	2	0	8	35	2	0	0	231	290	322	612	91	326	27	6	276	65	-6	+0	-1	+0	+3	-0.4
2016	34	AAA MLE	Salt Lake Bees	—	295	274	49	7	1	1	14	86	1	7	3	179	221	223	444	44	253	29	5	200	22	—	—	—	—	—	—
2016	34	AAA RAW	Salt Lake Bees	—	295	266	64	10	2	1	22	65	1	7	3	241	301	305	606	64	310	22	7	273	22	—	—	—	—	—	—
2017	35	AAA MLE	Toledo Mud Hens	—	408	372	71	17	0	3	29	89	2	5	7	191	253	261	514	70	241	22	7	232	43	—	—	—	—	—	—
2017	35	AAA RAW	Toledo Mud Hens	—	408	356	84	20	0	4	45	74	2	5	7	236	325	326	651	90	286	18	11	297	43	—	—	—	—	—	—
2005	23	A+ MLE	2 teams	—	381	354	96	24	1	3	22	52	2	14	1	271	321	370	691	99	308	14	6	299	88	—	—	—	—	—	—
2006	24	AA MLE	2 teams	—	74	71	16	1	0	1	3	11	0	2	1	225	260	282	542	56	253	15	4	230	42	—	—	—	—	—	—
2007	25	AAA MLE	2 teams	—	552	511	134	17	4	5	33	69	3	24	6	262	311	341	652	78	294	12	6	290	82	—	—	—	—	—	—
2008	26	MLB MLE	3 teams	—	327	300	71	16	0	3	20	60	4	9	2	237	296	320	616	83	284	18	6	272	71	—	—	—	—	—	—
2009	27	MLB MLE	St. Louis Cardinals	—	429	399	114	19	7	3	21	56	6	14	7	286	336	391	727	105	332	13	5	322	104	—	—	—	—	—	—
2010	28	MLB MLE	St. Louis Cardinals	—	486	453	97	18	3	2	28	60	2	11	4	214	268	280	548	66	253	12	6	249	55	—	—	—	—	—	—
2011	29	MLB MLE	Seattle Mariners	—	494	447	108	19	3	3	34	87	10	13	3	242	317	318	634	76	299	18	7	289	82	—	—	—	—	—	—
2012	30	MLB MLE	Seattle Mariners	—	470	418	79	19	3	3	44	98	5	11	5	189	281	270	551	81	244	21	9	255	58	—	—	—	—	—	—
2013	31	MLB MLE	New York Yankees	—	349	322	63	12	0	4	22	73	2	4	2	196	253	270	523	75	243	21	6	237	47	—	—	—	—	—	—
2014	32	MLB MLE	2 teams	—	141	131	22	4	0	0	6	34	3	0	2	168	225	198	423	31	232	24	4	199	21	—	—	—	—	—	—
2015	33	MLB MLE	2 teams	—	132	122	28	7	2	0	7	37	2	0	0	230	282	320	602	90	320	28	5	264	65	—	—	—	—	—	—
2016	34	AAA MLE	Salt Lake Bees	—	295	278	49	7	1	1	14	86	1	7	3	176	221	219	441	43	249	29	5	200	22	—	—	—	—	—	—
2017	35	AAA MLE	Toledo Mud Hens	—	408	374	71	17	0	3	29	89	2	5	7	190	253	259	512	70	237	22	7	232	43	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2872	2578	603	116	18	19	198	483	32	67	25	234	297	315	612	81	279	17	7	274	65	-98	+3	+85	+35	+62	9.0
/ 162G	—	A+C		—	650	583	136	26	4	4	45	109	7	15	6	233	296	312	608	79	278	17	7	274	65	-22	+1	+19	+8	+14	2.0
Career	—	MLE		—	4538	4124	948	180	24	31	283	812	42	114	43	230	286	308	594	78	277	18	6	265	65	-98	+3	+85	+35	+62	9.0
/ 162G	—	MLE		—	650	591	135	26	3	4	41	116	6	16	6	228	286	303	589	74	276	18	6	265	65	-22	+1	+19	+8	+14	2.0

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 AAAToledo Mud Hens · 408 PAwOBA .291 → .232 (−60)K% 18.1% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.14%	÷1.004	×1.200	—	—	21.68%
BB% (unintentional) /PA	11.03%	÷0.996	×0.690	—	×0.940	7.18%
HBP% /PA	0.49%	—	×0.940	—	×0.940	0.43%
Singles /BIP	21.28%	÷1.054	×0.930	×0.998	×0.940	17.62%
Doubles /BIP	7.09%	÷0.916	×0.830	×0.998	×0.940	6.03%
Triples /BIP	0.00%	÷1.150	×0.970	×0.998	×0.940	0.00%
Home runs /BIP	1.42%	÷1.049	×0.840	—	×0.940	1.07%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .291 → .232; ISO .090 → .075; BABIP .286 → .237. 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 AAASalt Lake Bees · 295 PAwOBA .268 → .200 (−68)K% 22.0% → 29.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.03%	÷0.969	×1.290	—	—	29.34%
BB% (unintentional) /PA	7.46%	÷1.021	×0.710	—	×0.940	4.88%
HBP% /PA	0.34%	—	×0.980	—	×0.940	0.31%
Singles /BIP	25.37%	÷1.033	×0.900	×1.004	×0.940	20.85%
Doubles /BIP	4.98%	÷1.020	×0.810	×1.004	×0.940	3.73%
Triples /BIP	1.00%	÷1.137	×0.810	×1.004	×0.940	0.67%
Home runs /BIP	0.50%	÷1.035	×0.780	—	×0.940	0.35%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 104, 3B 127, K 94, BB 104 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .268 → .200; ISO .064 → .044; BABIP .310 → .249. 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 AATrenton Thunder · 29 PAwOBA .291 → .238 (−53)K% 20.7% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷0.950	×1.220	—	—	26.56%
BB% (unintentional) /PA	10.34%	÷1.067	×0.700	—	×0.940	6.38%
HBP% /PA	3.45%	—	×0.850	—	×0.940	2.76%
Singles /BIP	26.32%	÷0.977	×0.970	—	×0.940	24.55%
Doubles /BIP	5.26%	÷0.978	×0.860	—	×0.940	4.35%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.153	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 131, 1B 95, 2B 96, 3B 130, K 90, BB 114 — 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 .291 → .238; ISO .040 → .032; BABIP .316 → .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).

2014 A+Tampa Yankees · 17 PAwOBA .329 → .253 (−76)K% 17.6% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.950	×1.420	—	—	26.36%
BB% (unintentional) /PA	17.65%	÷0.978	×0.750	—	×0.940	12.72%
HBP% /PA	0.00%	—	×0.930	—	×0.940	0.00%
Singles /BIP	36.36%	÷1.019	×0.920	—	×0.940	30.87%
Doubles /BIP	0.00%	÷1.003	×0.960	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.882	×0.880	—	×0.940	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 76, 1B 104, 2B 101, 3B 80, K 90, BB 96 — 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 .329 → .253; ISO .000 → .000; BABIP .364 → .309. 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 · 88 PAwOBA .292 → .249 (−43)K% 19.3% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.32%	÷1.000	×1.290	—	—	24.92%
BB% (unintentional) /PA	4.55%	÷1.000	×0.710	—	×1.018	3.29%
HBP% /PA	1.14%	—	×0.980	—	×1.018	1.13%
Singles /BIP	17.46%	÷1.000	×0.900	×1.032	×1.018	16.51%
Doubles /BIP	7.94%	÷1.000	×0.810	×1.032	×1.018	6.75%
Triples /BIP	0.00%	÷1.000	×0.810	×1.032	×1.018	0.00%
Home runs /BIP	4.76%	÷1.000	×0.780	—	×1.018	3.78%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.032.

Result: wOBA .292 → .249; ISO .175 → .141; BABIP .262 → .238. 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 AASpringfield Cardinals · 21 PAwOBA .466 → .367 (−99)K% 28.6% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.000	×1.220	—	—	34.86%
BB% (unintentional) /PA	4.76%	÷1.000	×0.700	—	×0.988	3.29%
HBP% /PA	4.76%	—	×0.870	—	×0.988	4.09%
Singles /BIP	23.08%	÷1.000	×0.920	—	×0.988	20.98%
Doubles /BIP	23.08%	÷1.000	×0.840	—	×0.988	19.15%
Triples /BIP	0.00%	÷1.000	×0.940	—	×0.988	0.00%
Home runs /BIP	7.69%	÷1.000	×0.800	—	×0.988	6.08%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .466 → .367; ISO .316 → .239; BABIP .500 → .427. 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 AAAMemphis Redbirds · 353 PAwOBA .295 → .265 (−31)K% 11.0% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.05%	÷1.000	×1.290	—	—	14.25%
BB% (unintentional) /PA	7.08%	÷1.000	×0.710	—	×1.033	5.19%
HBP% /PA	0.57%	—	×0.980	—	×1.033	0.57%
Singles /BIP	25.70%	÷1.000	×0.900	×1.029	×1.033	24.59%
Doubles /BIP	3.17%	÷1.000	×0.810	×1.029	×1.033	2.73%
Triples /BIP	1.76%	÷1.000	×0.810	×1.029	×1.033	1.52%
Home runs /BIP	0.35%	÷1.000	×0.780	—	×1.033	0.28%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .295 → .265; ISO .068 → .058; BABIP .306 → .288. 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 AASpringfield Cardinals · 47 PAwOBA .295 → .266 (−29)K% 12.8% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.77%	÷1.000	×1.220	—	—	15.57%
BB% (unintentional) /PA	6.38%	÷1.000	×0.700	—	×1.012	4.52%
HBP% /PA	0.00%	—	×0.870	—	×1.012	0.00%
Singles /BIP	32.43%	÷1.000	×0.920	—	×1.012	30.20%
Doubles /BIP	2.70%	÷1.000	×0.840	—	×1.012	2.30%
Triples /BIP	0.00%	÷1.000	×0.940	—	×1.012	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.012	0.00%

Factors used: league row TL. 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).

Result: wOBA .295 → .266; ISO .023 → .020; BABIP .351 → .325. 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).