Michael Saunders

PosLF

B/TL/R

Born1986-11-19

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	29	MLBTOR	558	.253/.339/.478	24	1	126	1.7
2017	30	AAATOR	156	.274/.321/.404	2	1	58	—	.228/.263/.342
2017	30	MLBTOR	234	.202/.256/.344	6	0	63	-1.2
2018	31	AAACWS	154	.158/.273/.248	2	2	8	—	.128/.201/.184
2019	32	No MLB games played
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 0.5

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Speed50

xwOBA47

Avg EV47

Barrel%43

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)
2006	19	A	Wisconsin Timber Rattlers	—	416	359	86	10	8	4	48	103	2	22	7	240	333	345	678	106	319	25	12	305	57	—	—	—	—	—	—
2007	20	AA	West Tenn Diamond Jaxx	—	60	52	15	1	2	1	7	20	0	2	1	288	373	442	815	154	452	33	12	357	88	—	—	—	—	—	—
2007	20	A+	High Desert Mavericks	—	507	431	129	25	4	14	60	116	8	27	10	299	395	473	868	174	378	23	12	381	101	—	—	—	—	—	—
2008	21	AAA	Tacoma Rainiers	—	105	95	23	4	1	3	9	30	0	1	2	242	308	400	708	158	323	29	9	313	53	—	—	—	—	—	—
2008	21	AA	West Tenn Diamond Jaxx	—	289	248	72	18	3	8	30	66	4	11	6	290	376	484	860	194	366	23	10	372	107	—	—	—	—	—	—
2009	22	MLB	Seattle Mariners	—	129	122	27	1	3	0	6	40	0	4	1	221	258	279	537	57	329	31	5	241	49	-8	+0	+4	-4	+3	-0.5
2009	22	AAA	Tacoma Rainiers	—	282	248	77	15	2	13	25	48	3	6	3	310	380	544	925	234	339	17	9	396	114	—	—	—	—	—	—
2010	23	MLB	Seattle Mariners	—	327	289	61	11	2	10	35	84	0	6	3	211	296	367	663	156	260	26	11	297	89	-4	+0	-2	-5	+7	-0.5
2010	23	AAA	Tacoma Rainiers	—	93	80	16	1	0	0	11	17	0	4	0	200	297	212	509	12	250	18	12	242	21	—	—	—	—	—	—
2010	23	INTL	Cardenales de Lara	—	31	26	5	1	0	0	4	5	1	1	0	192	323	231	553	38	238	16	13	272	70	—	—	—	—	—	—
2011	24	MLB	Seattle Mariners	—	179	161	24	5	0	2	12	56	0	6	2	149	208	217	425	68	212	31	7	192	14	-18	+0	+5	+2	+4	-0.7
2011	24	AAA	Tacoma Rainiers	—	291	236	68	11	3	7	50	71	2	10	3	288	417	449	866	161	384	24	17	386	99	—	—	—	—	—	—
2011	24	INTL	Cardenales de Lara	—	65	54	8	3	0	1	11	15	0	1	0	148	292	259	552	111	184	23	17	265	66	—	—	—	—	—	—
2012	25	MLB	Seattle Mariners	—	553	507	125	31	3	19	43	132	1	21	4	247	307	432	739	185	297	24	8	326	109	+6	+3	-7	+2	+12	1.6
2013	26	MLB	Seattle Mariners	—	468	406	96	23	3	12	54	118	1	13	5	236	328	397	724	160	298	25	12	321	102	+1	+1	-4	+2	+10	1.0
2013	26	AAA	Tacoma Rainiers	—	16	11	2	1	1	0	3	1	1	0	0	182	400	455	855	273	182	6	19	358	112	—	—	—	—	—	—
2014	27	MLB	Seattle Mariners	—	263	231	63	11	3	8	26	59	0	4	5	273	346	450	797	177	327	22	10	345	121	+6	-1	+1	-4	+6	0.8
2014	27	AAA	Tacoma Rainiers	—	71	55	18	3	1	1	16	15	0	0	0	327	479	473	952	145	436	21	23	429	116	—	—	—	—	—	—
2015	28	MLB	Toronto Blue Jays	—	36	31	6	0	0	0	5	10	0	0	0	194	306	194	499		286	28	14	248	53	-2	+0	+2	-1	+1	-0.0
2015	28	A+	Dunedin Blue Jays	—	33	30	7	3	0	0	3	8	0	0	0	233	303	333	636	100	318	24	9	290	24	—	—	—	—	—	—
2016	29	MLB	Toronto Blue Jays	—	558	490	124	32	3	24	59	157	5	1	2	253	339	478	817	224	321	28	11	358	126	+17	-1	-6	-6	+12	1.7
2017	30	MLB	Toronto Blue Jays	—	234	218	44	9	2	6	15	55	1	0	1	202	256	344	600	142	242	24	6	269	63	-10	-0	-2	-4	+5	-1.2
2017	30	AAA	Buffalo Bisons	—	156	146	40	11	1	2	9	30	1	1	0	274	321	404	725	130	333	19	6	323	58	—	—	—	—	—	—
2018	31	AAA	Charlotte Knights	—	154	133	21	4	1	2	21	33	0	2	0	158	273	248	521	90	194	21	14	248	8	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2747	2455	570	123	19	81	255	711	8	55	23	232	306	397	703	165	291	26	9	311	97	-11	+2	-10	-18	+60	2.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	19	A MLE	Wisconsin Timber Rattlers	—	416	374	77	8	7	3	33	140	2	22	7	206	274	289	563	83	304	34	8	252	57	—	—	—	—	—	—
2007	20	AA MLE	West Tenn Diamond Jaxx	—	60	54	14	1	2	1	5	24	0	2	1	259	322	407	729	148	431	40	8	299	88	—	—	—	—	—	—
2007	20	A+ MLE	High Desert Mavericks	—	507	449	116	21	3	13	42	156	8	27	10	258	333	405	738	147	350	31	8	317	101	—	—	—	—	—	—
2008	21	AAA MLE	Tacoma Rainiers	—	105	97	19	3	1	2	7	39	0	1	2	196	250	309	559	113	299	37	7	247	53	—	—	—	—	—	—
2008	21	AA MLE	West Tenn Diamond Jaxx	—	289	258	70	18	3	7	20	81	4	11	6	271	333	446	779	174	350	28	7	327	107	—	—	—	—	—	—
2009	22	MLB MLE	Seattle Mariners	—	129	122	27	1	3	0	6	40	0	4	1	221	258	279	537	57	329	31	5	241	49	-8	+0	+4	-4	+3	-0.5
2009	22	AAA MLE	Tacoma Rainiers	—	282	254	71	13	2	11	19	62	3	6	3	280	337	476	813	197	312	22	7	337	114	—	—	—	—	—	—
2010	23	MLB MLE	Seattle Mariners	—	327	289	61	11	2	10	35	84	0	6	3	211	296	367	663	156	260	26	11	300	89	-4	+0	-2	-5	+7	-0.5
2010	23	AAA MLE	Tacoma Rainiers	—	93	83	14	1	0	0	8	22	0	4	0	169	242	181	422	12	217	24	9	199	21	—	—	—	—	—	—
2011	24	MLB MLE	Seattle Mariners	—	179	162	24	5	0	2	11	56	0	6	2	148	202	216	418	68	212	31	6	190	14	-18	+0	+5	+2	+4	-0.7
2011	24	AAA MLE	Tacoma Rainiers	—	291	250	60	10	2	5	36	93	2	10	3	240	340	356	696	116	352	32	12	315	99	—	—	—	—	—	—
2012	25	MLB MLE	Seattle Mariners	—	553	507	126	32	3	19	43	132	1	21	4	249	309	436	744	187	297	24	8	329	109	+6	+3	-7	+2	+12	1.6
2013	26	MLB MLE	Seattle Mariners	—	468	410	96	23	3	12	50	118	1	13	5	234	319	393	712	159	298	25	11	318	102	+1	+1	-4	+2	+10	1.0
2013	26	AAA MLE	Tacoma Rainiers	—	16	12	2	1	1	0	2	1	1	0	0	167	333	417	750	250	161	6	12	334	112	—	—	—	—	—	—
2014	27	MLB MLE	Seattle Mariners	—	263	232	63	11	3	8	25	59	0	4	5	272	342	448	791	177	327	22	10	346	121	+6	-1	+1	-4	+6	0.8
2014	27	AAA MLE	Tacoma Rainiers	—	71	60	17	3	1	1	11	19	0	0	0	283	394	417	811	133	378	27	15	339	116	—	—	—	—	—	—
2015	28	MLB MLE	Toronto Blue Jays	—	36	31	6	0	0	0	5	10	0	0	0	194	306	194	499		286	28	14	247	53	-2	+0	+2	-1	+1	-0.0
2015	28	A+ MLE	Dunedin Blue Jays	—	33	31	5	2	0	0	2	12	0	0	0	161	212	226	438	65	267	36	6	204	24	—	—	—	—	—	—
2016	29	MLB MLE	Toronto Blue Jays	—	558	492	124	32	3	24	57	157	5	1	2	252	336	476	811	224	321	28	10	355	126	+17	-1	-6	-6	+12	1.7
2017	30	MLB MLE	Toronto Blue Jays	—	234	220	44	9	2	6	13	55	1	0	1	200	248	341	589	141	242	24	6	262	63	-10	-0	-2	-4	+5	-1.2
2017	30	AAA MLE	Buffalo Bisons	—	156	149	34	9	1	2	6	38	1	1	0	228	263	342	605	114	286	24	4	254	58	—	—	—	—	—	—
2018	31	AAA MLE	Charlotte Knights	—	154	141	18	3	1	1	13	40	0	2	0	128	201	184	386	57	166	26	8	180	8	—	—	—	—	—	—
2006	19	A MLE	Wisconsin Timber Rattlers	—	416	374	77	8	7	3	33	140	2	22	7	206	274	289	563	83	314	34	8	252	57	—	—	—	—	—	—
2006	19	A RAW	Wisconsin Timber Rattlers	—	416	359	86	10	8	4	48	103	2	22	7	240	333	345	678	106	319	25	12	305	57	—	—	—	—	—	—
2007	20	A+ MLE	2 teams	—	567	503	130	22	5	14	47	180	8	29	11	258	332	406	737	147	372	32	8	315	99	—	—	—	—	—	—
2007	20	A+ RAW	2 teams	—	567	483	144	26	6	15	67	136	8	29	11	298	392	470	862	172	385	24	12	379	99	—	—	—	—	—	—
2008	21	AA MLE	2 teams	—	394	355	90	21	4	9	27	119	4	12	8	254	313	411	725	158	355	30	7	306	93	—	—	—	—	—	—
2008	21	AA RAW	2 teams	—	394	343	95	22	4	11	39	96	4	12	8	277	358	461	818	184	354	24	10	356	93	—	—	—	—	—	—
2009	22	AAA MLE	2 teams	—	411	376	98	14	5	11	25	102	3	10	4	261	312	412	724	152	328	25	6	307	94	—	—	—	—	—	—
2009	22	AAA RAW	2 teams	—	411	370	104	16	5	13	31	88	3	10	4	281	342	457	798	176	336	21	8	348	94	—	—	—	—	—	—
2010	23	MLB MLE	3 teams	—	451	398	81	13	2	11	47	113	1	11	3	204	289	329	618	126	254	25	10	277	74	-14	+1	-2	-5	+10	-1.1
2010	23	MLB RAW	3 teams	—	451	395	82	13	2	10	50	106	1	11	3	208	298	327	625	119	256	24	11	284	74	-14	+1	-2	-5	+10	-1.1
2011	24	AAA MLE	3 teams	—	535	470	97	17	3	9	54	169	2	17	5	206	291	313	604	106	299	32	10	267	67	—	—	—	—	—	—
2011	24	AAA RAW	3 teams	—	535	451	100	19	3	10	73	142	2	17	5	222	333	344	676	122	299	27	14	307	67	—	—	—	—	—	—
2012	25	MLB MLE	Seattle Mariners	—	553	507	126	32	3	19	43	132	1	21	4	249	309	436	744	187	300	24	8	329	109	+6	+3	-7	+2	+12	1.6
2012	25	MLB RAW	Seattle Mariners	—	553	507	125	31	3	19	43	132	1	21	4	247	307	432	739	185	297	24	8	326	109	+6	+3	-7	+2	+12	1.6
2013	26	MLB MLE	2 teams	—	484	422	98	24	4	12	52	119	2	13	5	232	319	393	713	161	289	25	11	319	102	+1	+1	-4	+2	+10	1.0
2013	26	MLB RAW	2 teams	—	484	417	98	24	4	12	57	119	2	13	5	235	330	398	728	163	294	25	12	322	102	+1	+1	-4	+2	+10	1.0
2014	27	MLB MLE	2 teams	—	334	292	80	14	4	9	36	78	0	4	5	274	354	442	795	168	340	23	11	345	120	+8	-1	+1	-4	+7	1.1
2014	27	MLB RAW	2 teams	—	334	286	81	14	4	9	42	74	0	4	5	283	375	455	830	171	348	22	13	363	120	+8	-1	+1	-4	+7	1.1
2015	28	MLB MLE	2 teams	—	69	62	11	2	0	0	7	22	0	0	0	177	261	210	471	32	275	32	10	226	39	-5	+0	+2	-1	+1	-0.2
2015	28	MLB RAW	2 teams	—	69	61	13	3	0	0	8	18	0	0	0	213	304	262	567	49	302	26	12	268	39	-5	+0	+2	-1	+1	-0.2
2016	29	MLB MLE	Toronto Blue Jays	—	558	492	124	32	3	24	57	157	5	1	2	252	336	476	811	224	318	28	10	355	126	+17	-1	-6	-6	+12	1.7
2016	29	MLB RAW	Toronto Blue Jays	—	558	490	124	32	3	24	59	157	5	1	2	253	339	478	817	224	321	28	11	358	126	+17	-1	-6	-6	+12	1.7
2017	30	MLB MLE	2 teams	—	390	369	77	18	3	8	19	93	2	1	1	209	251	339	590	130	257	24	5	259	61	-18	-0	-2	-4	+8	-1.6
2017	30	MLB RAW	2 teams	—	390	364	84	20	3	8	24	85	2	1	1	231	282	368	650	137	280	22	6	291	61	-18	-0	-2	-4	+8	-1.6
2018	31	AAA MLE	Charlotte Knights	—	154	141	18	3	1	1	13	40	0	2	0	128	201	184	386	57	170	26	8	180	8	—	—	—	—	—	—
2018	31	AAA RAW	Charlotte Knights	—	154	133	21	4	1	2	21	33	0	2	0	158	273	248	521	90	194	21	14	248	8	—	—	—	—	—	—
2006	19	A MLE	Wisconsin Timber Rattlers	—	416	378	77	8	7	3	33	140	2	22	7	204	274	286	560	82	304	34	8	252	57	—	—	—	—	—	—
2007	20	A+ MLE	2 teams	—	567	507	130	22	5	14	47	180	8	29	11	256	332	402	734	146	359	32	8	315	99	—	—	—	—	—	—
2008	21	AA MLE	2 teams	—	394	360	90	21	4	9	27	119	4	12	8	250	313	406	719	156	336	30	7	306	93	—	—	—	—	—	—
2009	22	AAA MLE	2 teams	—	411	380	98	14	5	11	25	102	3	10	4	258	312	408	720	150	317	25	6	307	94	—	—	—	—	—	—
2010	23	MLB MLE	3 teams	—	451	400	81	13	2	11	47	113	1	11	3	203	289	328	617	125	251	25	10	277	74	—	—	—	—	—	—
2011	24	AAA MLE	3 teams	—	535	474	97	17	3	9	54	169	2	17	5	205	291	310	601	105	299	32	10	267	67	—	—	—	—	—	—
2012	25	MLB MLE	Seattle Mariners	—	553	504	126	32	3	19	43	132	1	21	4	250	309	438	747	188	297	24	8	329	109	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	484	427	98	24	4	12	52	119	2	13	5	230	319	389	708	159	293	25	11	319	102	—	—	—	—	—	—
2014	27	MLB MLE	2 teams	—	334	295	80	14	4	9	36	78	0	4	5	271	354	437	791	166	338	23	11	345	120	—	—	—	—	—	—
2015	28	MLB MLE	2 teams	—	69	62	11	2	0	0	7	22	0	0	0	177	261	210	471	32	277	32	10	226	39	—	—	—	—	—	—
2016	29	MLB MLE	Toronto Blue Jays	—	558	491	124	32	3	24	57	157	5	1	2	253	336	477	812	224	321	28	10	355	126	—	—	—	—	—	—
2017	30	MLB MLE	2 teams	—	390	366	77	18	3	8	19	93	2	1	1	210	251	342	593	131	260	24	5	259	61	—	—	—	—	—	—
2018	31	AAA MLE	Charlotte Knights	—	154	140	18	3	1	1	13	40	0	2	0	129	201	186	387	57	166	26	8	180	8	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2747	2455	570	123	19	81	255	711	8	55	23	232	306	397	703	165	291	26	9	311	89	-11	+2	-10	-18	+60	2.3
/ 162G	—	A+C		—	650	581	134	29	4	19	60	168	2	13	5	231	305	392	697	162	289	26	9	311	89	-2	+0	-2	-4	+14	0.5
Career	—	MLE		—	5316	4761	1107	220	44	130	460	1464	30	143	55	233	304	379	683	147	306	28	9	299	89	-11	+2	-10	-18	+60	2.3
/ 162G	—	MLE		—	650	582	135	27	5	16	56	179	4	17	7	232	304	378	682	146	304	28	9	299	89	-2	+0	-2	-4	+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 AAACharlotte Knights · 154 PAwOBA .240 → .180 (−60)K% 21.4% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷0.986	×1.200	—	—	26.07%
BB% (unintentional) /PA	12.99%	÷1.030	×0.690	—	×0.952	8.28%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	14.00%	÷1.030	×0.930	×1.041	×0.952	12.52%
Doubles /BIP	4.00%	÷1.077	×0.830	×1.041	×0.952	3.06%
Triples /BIP	1.00%	÷1.150	×0.970	×1.041	×0.952	0.84%
Home runs /BIP	2.00%	÷1.319	×0.840	—	×0.952	1.21%

Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .240 → .180; ISO .090 → .064; BABIP .194 → .166. 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 AAABuffalo Bisons · 156 PAwOBA .315 → .254 (−61)K% 19.2% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷0.950	×1.200	—	—	24.28%
BB% (unintentional) /PA	5.77%	÷1.027	×0.690	—	×0.962	3.73%
HBP% /PA	0.64%	—	×0.940	—	×0.962	0.58%
Singles /BIP	22.41%	÷1.021	×0.930	×0.988	×0.962	19.40%
Doubles /BIP	9.48%	÷0.940	×0.830	×0.988	×0.962	7.95%
Triples /BIP	0.86%	÷0.961	×0.970	×0.988	×0.962	0.83%
Home runs /BIP	1.72%	÷0.903	×0.840	—	×0.962	1.54%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 104, 2B 88, 3B 92, K 90, BB 106 — 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 ×0.988.

Result: wOBA .315 → .254; ISO .130 → .109; BABIP .333 → .286. 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 A+Dunedin Blue Jays · 33 PAwOBA .283 → .204 (−78)K% 24.2% → 36.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.24%	÷0.953	×1.420	—	—	36.13%
BB% (unintentional) /PA	9.09%	÷0.974	×0.750	—	×0.940	6.58%
HBP% /PA	0.00%	—	×0.930	—	×0.940	0.00%
Singles /BIP	18.18%	÷1.040	×0.920	—	×0.940	15.12%
Doubles /BIP	13.64%	÷1.063	×0.960	—	×0.940	11.58%
Triples /BIP	0.00%	÷0.989	×0.810	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.059	×0.880	—	×0.940	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 108, 2B 113, 3B 98, K 91, BB 95 — applied at half strength. Age: age 29 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .283 → .204; ISO .100 → .073; BABIP .318 → .267. 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 AAATacoma Rainiers · 71 PAwOBA .420 → .339 (−81)K% 21.1% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.13%	÷1.017	×1.290	—	—	26.80%
BB% (unintentional) /PA	22.54%	÷1.052	×0.710	—	×0.992	15.09%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	32.50%	÷1.016	×0.900	—	×0.992	28.56%
Doubles /BIP	7.50%	÷0.937	×0.810	—	×0.992	6.43%
Triples /BIP	2.50%	÷0.971	×0.810	—	×0.992	2.07%
Home runs /BIP	2.50%	÷0.963	×0.780	—	×0.992	2.01%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 103, 2B 87, 3B 94, K 103, BB 110 — 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).

Result: wOBA .420 → .339; ISO .145 → .124; BABIP .436 → .378. 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 AAATacoma Rainiers · 16 PAwOBA .374 → .334 (−39)K% 6.2% → 7.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.25%	÷1.030	×1.290	—	—	7.83%
BB% (unintentional) /PA	18.75%	÷1.049	×0.710	—	×1.003	12.73%
HBP% /PA	6.25%	—	×0.980	—	×1.003	6.14%
Singles /BIP	0.00%	÷0.983	×0.900	—	×1.003	0.00%
Doubles /BIP	10.00%	÷0.957	×0.810	—	×1.003	8.49%
Triples /BIP	10.00%	÷0.900	×0.810	—	×1.003	9.03%
Home runs /BIP	0.00%	÷0.938	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 88, 1B 97, 2B 91, 3B 80, K 106, BB 110 — 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 .374 → .334; ISO .273 → .283; BABIP .182 → .161. 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 AAATacoma Rainiers · 291 PAwOBA .376 → .315 (−61)K% 24.4% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.40%	÷0.990	×1.290	—	—	31.78%
BB% (unintentional) /PA	16.49%	÷0.976	×0.710	—	×1.033	12.40%
HBP% /PA	0.69%	—	×0.980	—	×1.033	0.70%
Singles /BIP	28.48%	÷0.960	×0.900	×0.968	×1.033	26.72%
Doubles /BIP	6.67%	÷0.896	×0.810	×0.968	×1.033	6.03%
Triples /BIP	1.82%	÷0.993	×0.810	×0.968	×1.033	1.48%
Home runs /BIP	4.24%	÷1.004	×0.780	—	×1.033	3.40%

Factors used: league row PCL. Park (home-season share, regressed): HR 101, 1B 92, 2B 79, 3B 99, K 98, BB 95 — 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 ×0.968.

Result: wOBA .376 → .315; ISO .161 → .131; BABIP .384 → .352. 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 AAATacoma Rainiers · 93 PAwOBA .240 → .199 (−41)K% 18.3% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.28%	÷1.012	×1.290	—	—	23.31%
BB% (unintentional) /PA	11.83%	÷0.968	×0.710	—	×1.048	9.09%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	23.81%	÷1.034	×0.900	×0.959	×1.048	20.83%
Doubles /BIP	1.59%	÷1.086	×0.810	×0.959	×1.048	1.19%
Triples /BIP	0.00%	÷0.934	×0.810	×0.959	×1.048	0.00%
Home runs /BIP	0.00%	÷1.031	×0.780	—	×1.048	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 107, 2B 117, 3B 87, K 102, BB 94 — 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 ×0.959.

Result: wOBA .240 → .199; ISO .013 → .009; BABIP .250 → .217. 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 AAATacoma Rainiers · 282 PAwOBA .388 → .337 (−51)K% 17.0% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.02%	÷1.000	×1.290	—	—	21.96%
BB% (unintentional) /PA	8.87%	÷1.000	×0.710	—	×1.050	6.61%
HBP% /PA	1.06%	—	×0.980	—	×1.050	1.09%
Singles /BIP	23.50%	÷1.000	×0.900	×1.014	×1.050	22.53%
Doubles /BIP	7.50%	÷1.000	×0.810	×1.014	×1.050	6.47%
Triples /BIP	1.00%	÷1.000	×0.810	×1.014	×1.050	0.86%
Home runs /BIP	6.50%	÷1.000	×0.780	—	×1.050	5.32%

Factors used: league row PCL. 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 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 ×1.014.

Result: wOBA .388 → .337; ISO .234 → .193; BABIP .339 → .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).

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