Ryan Flaherty

Pos2B

B/TL/R

Born1986-07-27

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	31	AA/A+2 orgs	68	.333/.500/.510	2	0	128	—	.295/.412/.449
2017	31	MLBBAL	43	.211/.302/.237	0	0	61	-0.3
2018	32	AAAATL	32	.267/.312/.300	0	0	32	—	.233/.281/.267
2018	32	MLBATL	182	.217/.300/.292	2	4	60	-0.4
2019	33	AAACLE	486	.263/.367/.466	19	2	76	—	.212/.274/.369
2019	33	MLBCleveland Ind…	22	.143/.143/.238	0	0	-8	-0.1
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 -0.7

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Avg EV40

Speed30

xwOBA15

Barrel%10

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)
2009	23	A	Peoria Chiefs	—	543	485	134	24	5	20	50	98	2	7	6	276	346	470	816	194	307	18	9	357	77	—	—	—	—	—	—
2010	24	AA	Tennessee Smokies	—	84	71	13	2	0	1	10	12	1	1	0	183	293	254	546	70	200	14	12	255	26	—	—	—	—	—	—
2010	24	A+	Daytona Cubs	—	475	420	120	34	3	9	41	74	4	6	3	286	355	445	800	160	321	16	9	349	82	—	—	—	—	—	—
2010	24	INTL	Mesa Solar Sox	—	96	82	22	3	0	0	12	14	0	1	1	268	362	305	667	37	324	15	12	306	94	—	—	—	—	—	—
2011	25	AAA	Iowa Cubs	—	186	173	41	11	1	5	10	44	0	1	0	237	279	399	678	162	288	24	5	295	42	—	—	—	—	—	—
2011	25	AA	Tennessee Smokies	—	344	302	92	20	2	14	40	55	0	4	6	305	386	523	909	219	332	16	12	397	112	—	—	—	—	—	—
2012	26	MLB	Baltimore Orioles	—	167	153	33	2	1	6	6	43	3	1	0	216	258	359	617	144	257	26	4	268	62	-8	+0	-2	+1	+4	-0.5
2012	26	AAA	Norfolk Tides	—	41	38	11	1	1	2	2	9	1	0	0	289	341	526	868	237	333	22	5	379	112	—	—	—	—	—	—
2012	26	INTL	Leones del Escogido	—	49	43	9	1	0	0	6	13	0	0	0	209	306	233	539	23	300	27	12	259	62	—	—	—	—	—	—
2013	27	MLB	Baltimore Orioles	—	271	246	55	11	0	10	19	62	5	2	0	224	293	390	683	167	259	23	7	305	82	-6	+0	+5	+1	+6	0.7
2013	27	AAA	Norfolk Tides	—	35	34	9	1	0	2	1	8	0	0	0	265	286	471	756	206	292	23	3	331	68	—	—	—	—	—	—
2014	28	MLB	Baltimore Orioles	—	312	281	62	15	1	7	22	68	5	1	0	221	289	356	645	135	266	22	7	288	75	-9	+0	+1	+1	+7	-0.0
2015	29	MLB	Baltimore Orioles	—	301	267	54	8	3	9	26	81	4	0	0	202	283	356	639	154	251	27	9	285	71	-10	+0	+2	+1	+7	-0.1
2016	30	MLB	Baltimore Orioles	—	176	157	34	7	0	3	17	48	0	2	0	217	293	318	612	102	290	27	10	277	69	-7	+0	+2	+1	+4	0.1
2016	30	AAA	Norfolk Tides	—	22	19	8	1	0	0	3	5	0	0	0	421	500	474	974	53	571	23	14	441	124	—	—	—	—	—	—
2017	31	MLB	Baltimore Orioles	—	43	38	8	1	0	0	4	10	1	0	0	211	302	237	539	26	286	23	9	259	61	-2	+0	-2	+0	+1	-0.3
2017	31	AA	Bowie Baysox	—	49	38	15	3	0	2	10	3	1	0	0	395	531	632	1.162	237	394	6	20	506	163	—	—	—	—	—	—
2017	31	A+	Frederick Keys	—	19	13	2	0	0	0	5	3	1	0	0	154	421	154	575		200	16	26	318	39	—	—	—	—	—	—
2018	32	MLB	Atlanta Braves	—	182	161	35	6	0	2	18	41	1	4	2	217	300	292	592	75	277	23	10	272	60	-9	+0	+0	+1	+4	-0.4
2018	32	AAA	Gwinnett Stripers	—	32	30	8	1	0	0	1	9	1	0	0	267	312	300	613	33	381	28	3	283	32	—	—	—	—	—	—
2019	33	MLB	Cleveland Indians	—	22	21	3	2	0	0	0	7	0	0	0	143	143	238	381	95	214	32	0	158	-8	-3	+0	-0	+2	+0	-0.1
2019	33	AAA	Columbus Clippers	—	486	414	109	23	2	19	65	121	3	2	2	263	367	466	833	203	325	25	13	368	76	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1474	1324	284	52	5	37	112	360	19	10	2	215	285	345	630	131	265	24	8	282	77	-40	+1	+7	+8	+32	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	23	A MLE	Peoria Chiefs	—	543	501	113	19	4	15	34	133	2	7	6	226	277	369	647	144	272	24	6	282	77	—	—	—	—	—	—
2010	24	AA MLE	Tennessee Smokies	—	84	76	13	2	0	1	5	15	1	1	0	171	232	237	469	66	179	18	6	207	26	—	—	—	—	—	—
2010	24	A+ MLE	Daytona Cubs	—	475	430	101	28	2	7	31	104	4	6	3	235	292	358	651	123	281	22	7	289	82	—	—	—	—	—	—
2011	25	AAA MLE	Iowa Cubs	—	186	176	34	8	1	4	7	59	0	1	0	193	224	318	542	125	253	32	4	230	42	—	—	—	—	—	—
2011	25	AA MLE	Tennessee Smokies	—	344	318	86	19	2	12	24	71	0	4	6	270	322	456	778	186	308	21	7	334	112	—	—	—	—	—	—
2012	26	MLB MLE	Baltimore Orioles	—	167	154	32	2	1	5	6	43	3	1	0	208	252	331	583	123	257	26	4	260	62	-8	+0	-2	+1	+4	-0.5
2012	26	AAA MLE	Norfolk Tides	—	41	39	10	1	1	2	1	11	1	0	0	256	293	487	780	231	317	27	2	334	112	—	—	—	—	—	—
2013	27	MLB MLE	Baltimore Orioles	—	271	249	54	11	0	9	16	62	5	2	0	217	278	369	647	153	259	23	6	290	82	-6	+0	+5	+1	+6	0.7
2013	27	AAA MLE	Norfolk Tides	—	35	34	8	1	0	2	1	10	0	0	0	235	257	441	698	206	273	29	3	269	68	—	—	—	—	—	—
2014	28	MLB MLE	Baltimore Orioles	—	312	283	61	15	1	6	20	68	5	1	0	216	279	339	618	124	266	22	6	279	75	-9	+0	+1	+1	+7	-0.0
2015	29	MLB MLE	Baltimore Orioles	—	301	269	53	8	3	8	24	81	4	0	0	197	273	338	611	141	251	27	8	273	71	-10	+0	+2	+1	+7	-0.1
2016	30	MLB MLE	Baltimore Orioles	—	176	158	34	7	0	3	16	48	0	2	0	215	287	316	604	101	290	27	9	270	69	-7	+0	+2	+1	+4	0.1
2016	30	AAA MLE	Norfolk Tides	—	22	20	7	1	0	0	2	6	0	0	0	350	409	400	809	50	497	27	9	351	124	—	—	—	—	—	—
2017	31	MLB MLE	Baltimore Orioles	—	43	38	8	1	0	0	4	10	1	0	0	211	302	237	539	26	286	23	9	258	61	-2	+0	-2	+0	+1	-0.3
2017	31	AA MLE	Bowie Baysox	—	49	42	15	3	0	2	6	4	1	0	0	357	449	571	1.020	214	343	8	12	409	163	—	—	—	—	—	—
2017	31	A+ MLE	Frederick Keys	—	19	15	2	0	0	0	3	4	1	0	0	133	316	133	449		176	21	16	226	39	—	—	—	—	—	—
2018	32	MLB MLE	Atlanta Braves	—	182	165	35	6	0	2	14	41	1	4	2	212	278	285	563	73	277	23	8	257	60	-9	+0	+0	+1	+4	-0.4
2018	32	AAA MLE	Gwinnett Stripers	—	32	30	7	1	0	0	1	11	1	0	0	233	281	267	548	33	330	34	3	216	32	—	—	—	—	—	—
2019	33	MLB MLE	Cleveland Indians	—	22	21	3	2	0	0	0	7	0	0	0	143	143	238	381	95	214	32	0	156	-8	-3	+0	-0	+2	+0	-0.1
2019	33	AAA MLE	Columbus Clippers	—	486	444	94	18	2	16	35	146	3	2	2	212	274	369	643	158	268	30	7	281	76	—	—	—	—	—	—
2009	23	A MLE	Peoria Chiefs	—	543	501	113	19	4	15	34	133	2	7	6	226	277	369	647	144	275	24	6	282	77	—	—	—	—	—	—
2009	23	A RAW	Peoria Chiefs	—	543	485	134	24	5	20	50	98	2	7	6	276	346	470	816	194	307	18	9	357	77	—	—	—	—	—	—
2010	24	A+ MLE	3 teams	—	655	594	134	35	2	10	42	140	5	8	4	226	282	342	624	116	273	21	6	277	73	—	—	—	—	—	—
2010	24	A+ RAW	3 teams	—	655	573	155	39	3	10	63	100	5	8	4	271	348	401	749	131	306	15	10	331	73	—	—	—	—	—	—
2011	25	AA MLE	2 teams	—	530	494	119	27	2	16	31	129	0	5	6	241	286	401	687	160	293	24	6	298	87	—	—	—	—	—	—
2011	25	AA RAW	2 teams	—	530	475	133	31	3	19	50	99	0	5	6	280	349	478	826	198	317	19	9	361	87	—	—	—	—	—	—
2012	26	MLB MLE	3 teams	—	257	240	53	4	3	9	9	67	4	1	0	221	261	375	636	154	267	26	4	274	72	-9	+0	-2	+1	+6	-0.4
2012	26	MLB RAW	3 teams	—	257	234	53	4	2	8	14	65	4	1	0	226	281	363	644	137	278	25	5	284	72	-9	+0	-2	+1	+6	-0.4
2013	27	MLB MLE	2 teams	—	306	283	62	12	0	11	17	72	5	2	0	219	275	378	654	159	255	24	6	287	81	-7	+0	+5	+1	+7	0.6
2013	27	MLB RAW	2 teams	—	306	280	64	12	0	12	20	70	5	2	0	229	292	400	692	171	263	23	7	308	81	-7	+0	+5	+1	+7	0.6
2014	28	MLB MLE	Baltimore Orioles	—	312	283	61	15	1	6	20	68	5	1	0	216	279	339	618	124	262	22	6	279	75	-9	+0	+1	+1	+7	-0.0
2014	28	MLB RAW	Baltimore Orioles	—	312	281	62	15	1	7	22	68	5	1	0	221	289	356	645	135	266	22	7	288	75	-9	+0	+1	+1	+7	-0.0
2015	29	MLB MLE	Baltimore Orioles	—	301	269	53	8	3	8	24	81	4	0	0	197	273	338	611	141	247	27	8	273	71	-10	+0	+2	+1	+7	-0.1
2015	29	MLB RAW	Baltimore Orioles	—	301	267	54	8	3	9	26	81	4	0	0	202	283	356	639	154	251	27	9	285	71	-10	+0	+2	+1	+7	-0.1
2016	30	MLB MLE	2 teams	—	198	178	41	8	0	3	18	54	0	2	0	230	301	326	627	96	311	27	9	279	75	-6	+0	+2	+1	+4	0.2
2016	30	MLB RAW	2 teams	—	198	176	42	8	0	3	20	53	0	2	0	239	316	335	652	97	322	27	10	296	75	-6	+0	+2	+1	+4	0.2
2017	31	AA MLE	3 teams	—	111	95	25	4	0	2	13	18	3	0	0	263	369	368	738	105	307	16	12	319	102	—	—	—	—	—	—
2017	31	AA RAW	3 teams	—	111	89	25	4	0	2	19	16	3	0	0	281	423	393	817	112	324	14	17	378	102	—	—	—	—	—	—
2018	32	MLB MLE	2 teams	—	214	195	42	7	0	2	15	52	2	4	2	215	278	282	560	67	282	24	7	251	56	-11	+0	+0	+1	+5	-0.6
2018	32	MLB RAW	2 teams	—	214	191	43	7	0	2	19	50	2	4	2	225	302	293	595	68	293	23	9	274	56	-11	+0	+0	+1	+5	-0.6
2019	33	AAA MLE	2 teams	—	508	465	97	20	2	16	35	153	3	2	2	209	268	363	632	155	271	30	7	276	73	—	—	—	—	—	—
2019	33	AAA RAW	2 teams	—	508	435	112	25	2	19	65	128	3	2	2	257	358	455	813	198	320	25	13	359	73	—	—	—	—	—	—
2009	23	A MLE	Peoria Chiefs	—	543	502	113	19	4	15	34	133	2	7	6	225	277	369	646	143	272	24	6	282	77	—	—	—	—	—	—
2010	24	A+ MLE	3 teams	—	655	603	134	35	2	10	42	140	5	8	4	222	282	337	619	114	266	21	6	277	73	—	—	—	—	—	—
2011	25	AA MLE	2 teams	—	530	494	119	27	2	16	31	129	0	5	6	241	286	401	687	160	289	24	6	298	87	—	—	—	—	—	—
2012	26	MLB MLE	3 teams	—	257	242	53	4	3	9	9	67	4	1	0	219	261	372	633	153	269	26	4	274	72	—	—	—	—	—	—
2013	27	MLB MLE	2 teams	—	306	281	62	12	0	11	17	72	5	2	0	221	275	381	656	160	260	24	6	287	81	—	—	—	—	—	—
2014	28	MLB MLE	Baltimore Orioles	—	312	284	61	15	1	6	20	68	5	1	0	215	279	338	617	123	266	22	6	279	75	—	—	—	—	—	—
2015	29	MLB MLE	Baltimore Orioles	—	301	270	53	8	3	8	24	81	4	0	0	196	273	337	610	141	251	27	8	273	71	—	—	—	—	—	—
2016	30	MLB MLE	2 teams	—	198	178	41	8	0	3	18	54	0	2	0	230	301	326	627	96	313	27	9	279	75	—	—	—	—	—	—
2017	31	AA MLE	3 teams	—	111	94	25	4	0	2	13	18	3	0	0	266	369	372	742	106	292	16	12	319	102	—	—	—	—	—	—
2018	32	MLB MLE	2 teams	—	214	195	42	7	0	2	15	52	2	4	2	215	278	282	560	67	285	24	7	251	56	—	—	—	—	—	—
2019	33	AAA MLE	2 teams	—	508	465	97	20	2	16	35	153	3	2	2	209	268	363	632	155	266	30	7	276	73	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1474	1324	284	52	5	37	112	360	19	10	2	215	285	345	630	131	265	24	8	282	76	-40	+1	+7	+8	+32	0.8
/ 162G	—	A+C		—	650	584	125	23	2	16	49	159	8	4	1	214	283	342	626	128	265	24	8	282	76	-18	+1	+3	+3	+14	0.3
Career	—	MLE		—	3935	3597	800	159	17	98	258	967	33	32	20	222	281	358	638	135	274	25	7	281	76	-40	+1	+7	+8	+32	0.8
/ 162G	—	MLE		—	650	594	132	26	3	16	43	160	5	5	3	222	280	357	637	135	275	25	7	281	76	-18	+1	+3	+3	+14	0.3

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.

2019 AAAColumbus Clippers · 486 PAwOBA .356 → .281 (−76)K% 24.9% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.90%	÷0.993	×1.200	—	—	30.09%
BB% (unintentional) /PA	12.14%	÷1.089	×0.690	—	×0.942	7.24%
HBP% /PA	0.62%	—	×0.940	—	×0.942	0.55%
Singles /BIP	22.18%	÷0.970	×0.930	×0.955	×0.942	19.15%
Doubles /BIP	7.85%	÷0.995	×0.830	×0.955	×0.942	5.89%
Triples /BIP	0.68%	÷0.900	×0.970	×0.955	×0.942	0.66%
Home runs /BIP	6.48%	÷0.985	×0.840	—	×0.942	5.21%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 94, 2B 99, 3B 80, K 99, BB 118 — 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 ×0.955.

Result: wOBA .356 → .281; ISO .203 → .167; BABIP .325 → .268. 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 AAAGwinnett Stripers · 32 PAwOBA .276 → .216 (−59)K% 28.1% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.12%	÷0.952	×1.200	—	—	35.46%
BB% (unintentional) /PA	3.12%	÷0.947	×0.690	—	×0.952	2.17%
HBP% /PA	3.12%	—	×0.940	—	×0.952	2.80%
Singles /BIP	33.33%	÷1.010	×0.930	—	×0.952	29.23%
Doubles /BIP	4.76%	÷0.995	×0.830	—	×0.952	3.78%
Triples /BIP	0.00%	÷1.116	×0.970	—	×0.952	0.00%
Home runs /BIP	0.00%	÷0.970	×0.840	—	×0.952	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 102, 2B 99, 3B 123, K 90, BB 89 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .276 → .216; ISO .033 → .024; BABIP .381 → .330. 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 AABowie Baysox · 49 PAwOBA .493 → .409 (−84)K% 6.1% → 7.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.12%	÷0.970	×1.220	—	—	7.70%
BB% (unintentional) /PA	20.41%	÷1.061	×0.700	—	×0.940	12.65%
HBP% /PA	2.04%	—	×0.850	—	×0.940	1.63%
Singles /BIP	28.57%	÷0.993	×0.970	—	×0.940	26.22%
Doubles /BIP	8.57%	÷1.043	×0.860	—	×0.940	6.64%
Triples /BIP	0.00%	÷1.016	×0.950	—	×0.940	0.00%
Home runs /BIP	5.71%	÷0.998	×0.780	—	×0.940	4.20%

Factors used: league row EL. Park (home-season share, regressed): HR 100, 1B 99, 2B 109, 3B 103, K 94, BB 112 — 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 .493 → .409; ISO .237 → .194; BABIP .394 → .343. 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 A+Frederick Keys · 19 PAwOBA .312 → .226 (−86)K% 15.8% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.993	×1.420	—	—	22.57%
BB% (unintentional) /PA	26.32%	÷1.010	×0.630	—	×0.940	15.43%
HBP% /PA	5.26%	—	×0.860	—	×0.940	4.25%
Singles /BIP	20.00%	÷1.006	×0.940	—	×0.940	17.56%
Doubles /BIP	0.00%	÷0.914	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.800	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.238	×0.900	—	×0.940	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 148, 1B 101, 2B 83, 3B 80, K 99, BB 102 — applied at half strength. Age: age 31 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .312 → .226; ISO .000 → .000; BABIP .200 → .176. 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 AAANorfolk Tides · 22 PAwOBA .431 → .351 (−80)K% 22.7% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷0.983	×1.200	—	—	27.73%
BB% (unintentional) /PA	13.64%	÷1.046	×0.690	—	×0.972	8.75%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	50.00%	÷1.027	×0.930	—	×0.972	44.02%
Doubles /BIP	7.14%	÷1.021	×0.830	—	×0.972	5.64%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.972	0.00%
Home runs /BIP	0.00%	÷0.776	×0.840	—	×0.972	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 55, 1B 105, 2B 104, 3B 130, K 97, BB 109 — 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).

Result: wOBA .431 → .351; ISO .053 → .042; BABIP .571 → .497. 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 AAANorfolk Tides · 35 PAwOBA .321 → .269 (−52)K% 22.9% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.86%	÷0.967	×1.200	—	—	28.37%
BB% (unintentional) /PA	2.86%	÷1.001	×0.690	—	×1.003	1.98%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	23.08%	÷0.970	×0.930	—	×1.003	22.19%
Doubles /BIP	3.85%	÷0.956	×0.830	—	×1.003	3.35%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.003	0.00%
Home runs /BIP	7.69%	÷1.006	×0.840	—	×1.003	6.44%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 91, 3B 80, K 93, BB 100 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .321 → .269; ISO .206 → .163; BABIP .292 → .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).

2012 AAANorfolk Tides · 41 PAwOBA .368 → .334 (−34)K% 22.0% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.95%	÷0.999	×1.200	—	—	26.38%
BB% (unintentional) /PA	4.88%	÷1.066	×0.690	—	×1.018	3.21%
HBP% /PA	2.44%	—	×0.940	—	×1.018	2.33%
Singles /BIP	24.14%	÷1.001	×0.930	—	×1.018	22.83%
Doubles /BIP	3.45%	÷0.984	×0.830	—	×1.018	2.96%
Triples /BIP	3.45%	÷0.900	×0.970	—	×1.018	3.78%
Home runs /BIP	6.90%	÷0.870	×0.840	—	×1.018	6.78%

Factors used: league row IL. Park (home-season share, regressed): HR 74, 1B 100, 2B 97, 3B 80, K 100, BB 113 — 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).

Result: wOBA .368 → .334; ISO .237 → .227; BABIP .333 → .317. 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 AATennessee Smokies · 344 PAwOBA .387 → .334 (−53)K% 16.0% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.99%	÷0.951	×1.220	—	—	20.52%
BB% (unintentional) /PA	11.05%	÷1.090	×0.680	—	×0.998	6.88%
HBP% /PA	0.00%	—	×0.840	—	×0.998	0.00%
Singles /BIP	22.67%	÷1.029	×0.920	×1.048	×0.998	21.20%
Doubles /BIP	8.10%	÷1.001	×0.910	×1.048	×0.998	7.70%
Triples /BIP	0.81%	÷1.150	×0.880	×1.048	×0.998	0.65%
Home runs /BIP	5.67%	÷0.937	×0.800	—	×0.998	4.83%

Factors used: league row SL. Park (home-season share, regressed): HR 87, 1B 106, 2B 100, 3B 130, K 90, BB 118 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .387 → .334; ISO .219 → .194; BABIP .332 → .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).

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