Myles Schroder

Pos3B

B/TS/R

Born1987-08-01

Age (2027)39

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	28	AAA/AASF	434	.253/.306/.339	3	8	46	—	.223/.263/.300
2017	29	AASF	385	.259/.353/.413	7	4	64	—	.206/.282/.326
2018	30	AAASF	302	.244/.292/.409	9	5	45	—	.190/.228/.303

Contract

No contract data on file.

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)
2011	23	ROK	AZL Giants	—	121	110	31	9	3	1	6	21	0	6	2	282	319	445	764	164	326	17	5	322	41	—	—	—	—	—	—
2012	24	A	Augusta GreenJackets	—	72	62	11	1	0	1	6	25	2	2	1	177	271	242	513	65	278	35	8	238	9	—	—	—	—	—	—
2013	25	A+	San Jose Giants	—	326	291	86	20	6	6	25	73	5	12	4	296	361	467	829	172	374	22	8	361	76	—	—	—	—	—	—
2014	26	AA	Richmond Flying Squirrels	—	394	362	92	16	5	5	20	76	8	11	0	254	308	367	675	113	305	19	5	301	57	—	—	—	—	—	—
2015	27	AA	Richmond Flying Squirrels	—	406	369	93	6	4	7	21	84	8	14	6	252	307	347	653	95	304	21	5	291	52	—	—	—	—	—	—
2016	28	AAA	Sacramento River Cats	—	158	145	32	7	2	1	6	27	2	3	3	221	261	317	579	97	258	17	4	252	28	—	—	—	—	—	—
2016	28	AA	Richmond Flying Squirrels	—	276	250	68	12	1	2	11	45	11	5	1	272	331	352	683	80	322	16	4	308	57	—	—	—	—	—	—
2017	29	AA	Richmond Flying Squirrels	—	385	332	86	22	4	7	36	76	12	4	1	259	353	413	765	154	317	20	9	341	64	—	—	—	—	—	—
2018	30	AAA	Sacramento River Cats	—	302	279	68	15	2	9	12	84	7	5	3	244	292	409	701	165	314	28	4	307	45	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	23	ROK MLE	AZL Giants	—	121	112	23	6	2	1	4	30	0	6	2	205	233	321	554	116	242	25	3	229	41	—	—	—	—	—	—
2012	24	A MLE	Augusta GreenJackets	—	72	64	10	1	0	1	4	31	2	2	1	156	229	219	447	62	244	43	6	182	9	—	—	—	—	—	—
2013	25	A+ MLE	San Jose Giants	—	326	300	71	16	5	6	16	99	5	12	4	237	287	383	670	147	315	30	5	281	76	—	—	—	—	—	—
2014	26	AA MLE	Richmond Flying Squirrels	—	394	369	82	13	4	4	13	91	8	11	0	222	264	312	576	89	277	23	3	253	57	—	—	—	—	—	—
2015	27	AA MLE	Richmond Flying Squirrels	—	406	376	82	5	3	6	14	102	8	14	6	218	261	295	557	77	271	25	3	245	52	—	—	—	—	—	—
2016	28	AAA MLE	Sacramento River Cats	—	158	148	29	6	2	1	3	34	2	3	3	196	222	284	506	88	226	22	2	210	28	—	—	—	—	—	—
2016	28	AA MLE	Richmond Flying Squirrels	—	276	255	61	10	1	2	6	56	11	5	1	239	287	310	597	71	283	20	2	252	57	—	—	—	—	—	—
2017	29	AA MLE	Richmond Flying Squirrels	—	385	344	71	15	4	6	24	98	12	4	1	206	282	326	607	119	262	25	6	263	64	—	—	—	—	—	—
2018	30	AAA MLE	Sacramento River Cats	—	302	284	54	12	1	6	7	101	7	5	3	190	228	303	531	113	263	33	2	235	45	—	—	—	—	—	—
2011	23	ROK MLE	AZL Giants	—	121	112	23	6	2	1	4	30	0	6	2	205	233	321	554	116	259	25	3	229	41	—	—	—	—	—	—
2011	23	ROK RAW	AZL Giants	—	121	110	31	9	3	1	6	21	0	6	2	282	319	445	764	164	326	17	5	322	41	—	—	—	—	—	—
2012	24	A MLE	Augusta GreenJackets	—	72	64	10	1	0	1	4	31	2	2	1	156	229	219	447	62	281	43	6	182	9	—	—	—	—	—	—
2012	24	A RAW	Augusta GreenJackets	—	72	62	11	1	0	1	6	25	2	2	1	177	271	242	513	65	278	35	8	238	9	—	—	—	—	—	—
2013	25	A+ MLE	San Jose Giants	—	326	300	71	16	5	6	16	99	5	12	4	237	287	383	670	147	330	30	5	281	76	—	—	—	—	—	—
2013	25	A+ RAW	San Jose Giants	—	326	291	86	20	6	6	25	73	5	12	4	296	361	467	829	172	374	22	8	361	76	—	—	—	—	—	—
2014	26	AA MLE	Richmond Flying Squirrels	—	394	369	82	13	4	4	13	91	8	11	0	222	264	312	576	89	281	23	3	253	57	—	—	—	—	—	—
2014	26	AA RAW	Richmond Flying Squirrels	—	394	362	92	16	5	5	20	76	8	11	0	254	308	367	675	113	305	19	5	301	57	—	—	—	—	—	—
2015	27	AA MLE	Richmond Flying Squirrels	—	406	376	82	5	3	6	14	102	8	14	6	218	261	295	557	77	278	25	3	245	52	—	—	—	—	—	—
2015	27	AA RAW	Richmond Flying Squirrels	—	406	369	93	6	4	7	21	84	8	14	6	252	307	347	653	95	304	21	5	291	52	—	—	—	—	—	—
2016	28	AA MLE	2 teams	—	434	404	88	15	3	2	8	90	13	8	4	218	256	285	541	67	271	21	2	237	46	—	—	—	—	—	—
2016	28	AA RAW	2 teams	—	434	395	100	19	3	3	17	72	13	8	4	253	306	339	645	86	298	17	4	287	46	—	—	—	—	—	—
2017	29	AA MLE	Richmond Flying Squirrels	—	385	344	71	15	4	6	24	98	12	4	1	206	282	326	607	119	271	25	6	263	64	—	—	—	—	—	—
2017	29	AA RAW	Richmond Flying Squirrels	—	385	332	86	22	4	7	36	76	12	4	1	259	353	413	765	154	317	20	9	341	64	—	—	—	—	—	—
2018	30	AAA MLE	Sacramento River Cats	—	302	284	54	12	1	6	7	101	7	5	3	190	228	303	531	113	268	33	2	235	45	—	—	—	—	—	—
2018	30	AAA RAW	Sacramento River Cats	—	302	279	68	15	2	9	12	84	7	5	3	244	292	409	701	165	314	28	4	307	45	—	—	—	—	—	—
2011	23	ROK MLE	AZL Giants	—	121	116	23	6	2	1	4	30	0	6	2	198	233	310	543	112	242	25	3	229	41	—	—	—	—	—	—
2012	24	A MLE	Augusta GreenJackets	—	72	66	10	1	0	1	4	31	2	2	1	152	229	212	441	61	244	43	6	182	9	—	—	—	—	—	—
2013	25	A+ MLE	San Jose Giants	—	326	302	71	16	5	6	16	99	5	12	4	235	287	381	667	146	315	30	5	281	76	—	—	—	—	—	—
2014	26	AA MLE	Richmond Flying Squirrels	—	394	370	82	13	4	4	13	91	8	11	0	222	264	311	575	89	277	23	3	253	57	—	—	—	—	—	—
2015	27	AA MLE	Richmond Flying Squirrels	—	406	381	82	5	3	6	14	102	8	14	6	215	261	291	553	76	271	25	3	245	52	—	—	—	—	—	—
2016	28	AA MLE	2 teams	—	434	410	88	15	3	2	8	90	13	8	4	215	256	280	537	66	262	21	2	237	46	—	—	—	—	—	—
2017	29	AA MLE	Richmond Flying Squirrels	—	385	346	71	15	4	6	24	98	12	4	1	205	282	324	605	118	262	25	6	263	64	—	—	—	—	—	—
2018	30	AAA MLE	Sacramento River Cats	—	302	285	54	12	1	6	7	101	7	5	3	189	228	302	530	112	263	33	2	235	45	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2440	2253	481	83	22	32	90	642	55	62	21	213	261	312	574	99	280	26	4	249	54	-132	+4	+0	+9	+53	-6.8
/ 162G	—	MLE		—	650	600	129	22	6	9	24	171	15	17	6	215	263	317	580	102	282	26	4	249	54	-35	+1	+0	+2	+14	-1.8

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 AAASacramento River Cats · 302 PAwOBA .299 → .235 (−64)K% 27.8% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.81%	÷1.071	×1.290	—	—	33.49%
BB% (unintentional) /PA	3.64%	÷1.043	×0.710	—	×0.962	2.39%
HBP% /PA	2.32%	—	×0.980	—	×0.962	2.19%
Singles /BIP	21.54%	÷0.963	×0.900	×0.964	×0.962	18.66%
Doubles /BIP	7.69%	÷0.910	×0.810	×0.964	×0.962	6.35%
Triples /BIP	1.03%	÷1.150	×0.810	×0.964	×0.962	0.67%
Home runs /BIP	4.62%	÷0.998	×0.780	—	×0.962	3.47%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — 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 ×0.964.

Result: wOBA .299 → .235; ISO .165 → .121; BABIP .314 → .263. 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 AARichmond Flying Squirrels · 385 PAwOBA .331 → .263 (−68)K% 19.7% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.74%	÷0.948	×1.220	—	—	25.41%
BB% (unintentional) /PA	9.09%	÷0.974	×0.700	—	×0.948	6.19%
HBP% /PA	3.12%	—	×0.850	—	×0.948	2.51%
Singles /BIP	20.70%	÷1.004	×0.970	×0.950	×0.948	18.01%
Doubles /BIP	8.59%	÷1.096	×0.860	×0.950	×0.948	6.08%
Triples /BIP	1.56%	÷0.900	×0.950	×0.950	×0.948	1.49%
Home runs /BIP	2.73%	÷0.848	×0.780	—	×0.948	2.38%

Factors used: league row EL. Park (home-season share, regressed): HR 70, 1B 101, 2B 119, 3B 80, K 90, BB 95 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .331 → .263; ISO .154 → .124; BABIP .317 → .262. 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 AARichmond Flying Squirrels · 276 PAwOBA .300 → .252 (−48)K% 16.3% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.30%	÷0.975	×1.220	—	—	20.40%
BB% (unintentional) /PA	3.62%	÷1.155	×0.700	—	×0.958	2.10%
HBP% /PA	3.99%	—	×0.850	—	×0.958	3.25%
Singles /BIP	25.85%	÷0.994	×0.970	×0.963	×0.958	23.26%
Doubles /BIP	5.85%	÷0.975	×0.860	×0.963	×0.958	4.76%
Triples /BIP	0.49%	÷1.150	×0.950	×0.963	×0.958	0.37%
Home runs /BIP	0.98%	÷0.978	×0.780	—	×0.958	0.75%

Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 99, 2B 95, 3B 130, K 95, BB 131 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .300 → .252; ISO .080 → .063; BABIP .322 → .283. 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 AAASacramento River Cats · 158 PAwOBA .245 → .210 (−34)K% 17.1% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.09%	÷1.034	×1.290	—	—	21.32%
BB% (unintentional) /PA	2.53%	÷1.052	×0.710	—	×0.982	1.68%
HBP% /PA	1.27%	—	×0.980	—	×0.982	1.22%
Singles /BIP	18.64%	÷0.960	×0.900	×0.977	×0.982	16.78%
Doubles /BIP	5.93%	÷0.973	×0.810	×0.977	×0.982	4.74%
Triples /BIP	1.69%	÷0.900	×0.810	×0.977	×0.982	1.46%
Home runs /BIP	0.85%	÷1.082	×0.780	—	×0.982	0.60%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .245 → .210; ISO .097 → .078; BABIP .258 → .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).

2015 AARichmond Flying Squirrels · 406 PAwOBA .287 → .245 (−42)K% 20.7% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷1.003	×1.220	—	—	25.18%
BB% (unintentional) /PA	5.17%	÷0.992	×0.700	—	×0.968	3.53%
HBP% /PA	1.97%	—	×0.850	—	×0.968	1.62%
Singles /BIP	26.67%	÷1.013	×0.970	×0.973	×0.968	24.05%
Doubles /BIP	2.11%	÷0.998	×0.860	×0.973	×0.968	1.71%
Triples /BIP	1.40%	÷1.025	×0.950	×0.973	×0.968	1.23%
Home runs /BIP	2.46%	÷0.860	×0.780	—	×0.968	2.16%

Factors used: league row EL. Park (home-season share, regressed): HR 72, 1B 103, 2B 100, 3B 105, K 101, BB 98 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .287 → .245; ISO .095 → .081; BABIP .304 → .271. 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 AARichmond Flying Squirrels · 394 PAwOBA .296 → .253 (−43)K% 19.3% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.29%	÷1.012	×1.220	—	—	23.24%
BB% (unintentional) /PA	5.08%	÷1.075	×0.700	—	×0.978	3.23%
HBP% /PA	2.03%	—	×0.850	—	×0.978	1.69%
Singles /BIP	23.08%	÷1.014	×0.970	×0.993	×0.978	21.45%
Doubles /BIP	5.59%	÷0.983	×0.860	×0.993	×0.978	4.75%
Triples /BIP	1.75%	÷1.061	×0.950	×0.993	×0.978	1.52%
Home runs /BIP	1.75%	÷0.918	×0.780	—	×0.978	1.45%

Factors used: league row EL. Park (home-season share, regressed): HR 84, 1B 103, 2B 97, 3B 112, K 102, BB 115 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .296 → .253; ISO .113 → .095; BABIP .305 → .277. 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 A+San Jose Giants · 326 PAwOBA .353 → .281 (−72)K% 22.4% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.39%	÷0.992	×1.340	—	—	30.26%
BB% (unintentional) /PA	7.36%	÷1.063	×0.710	—	×0.968	4.76%
HBP% /PA	1.53%	—	×0.790	—	×0.968	1.17%
Singles /BIP	24.77%	÷1.032	×0.910	×0.997	×0.968	21.08%
Doubles /BIP	9.17%	÷0.953	×0.820	×0.997	×0.968	7.62%
Triples /BIP	2.75%	÷0.900	×0.760	×0.997	×0.968	2.24%
Home runs /BIP	2.75%	÷0.866	×0.920	—	×0.968	2.83%

Factors used: league row CAL. Park (home-season share, regressed): HR 73, 1B 106, 2B 91, 3B 80, K 98, BB 113 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .353 → .281; ISO .172 → .147; BABIP .374 → .315. 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 AAugusta GreenJackets · 72 PAwOBA .233 → .182 (−51)K% 34.7% → 43.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.72%	÷1.083	×1.340	—	—	42.97%
BB% (unintentional) /PA	8.33%	÷0.944	×0.660	—	×0.970	5.65%
HBP% /PA	2.78%	—	×0.770	—	×0.970	2.07%
Singles /BIP	24.32%	÷1.003	×0.920	—	×0.970	21.65%
Doubles /BIP	2.70%	÷0.943	×0.820	—	×0.970	2.28%
Triples /BIP	0.00%	÷0.909	×0.940	—	×0.970	0.00%
Home runs /BIP	2.70%	÷1.066	×0.820	—	×0.970	2.02%

Factors used: league row SAL. Park (home-season share, regressed): HR 113, 1B 101, 2B 89, 3B 82, K 117, BB 89 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average).

Result: wOBA .233 → .182; ISO .065 → .048; BABIP .278 → .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).