Skyler Stromsmoe

Pos2B

B/TS/R

Born1984-03-30

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	29	AA/A+SF	187	.269/.357/.356	1	3	59	—	.233/.297/.311
2014	30	AASF	372	.233/.378/.294	0	12	57	—	.201/.301/.251
2015	31	AAA/A+SF	152	.260/.358/.344	0	3	55	—	.206/.285/.265

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)
2007	23	ROK	AZL Giants	—	78	62	18	3	0	2	11	9	4	7	1	290	429	435	864	145	314	12	14	390	73	—	—	—	—	—	—
2008	24	A	Augusta GreenJackets	—	66	55	11	0	0	0	10	9	1	2	1	200	333	200	533		239	14	15	268	28	—	—	—	—	—	—
2009	25	A+	San Jose Giants	—	119	101	27	7	1	2	10	19	3	1	0	267	351	416	767	149	305	16	8	331	74	—	—	—	—	—	—
2010	26	AA	Richmond Flying Squirrels	—	157	142	34	3	1	2	7	34	2	6	0	239	285	317	602	77	299	22	4	263	47	—	—	—	—	—	—
2010	26	A	Augusta GreenJackets	—	110	87	17	5	1	0	13	16	4	6	1	195	327	276	603	80	224	15	12	273	38	—	—	—	—	—	—
2011	27	AA	Richmond Flying Squirrels	—	234	195	54	6	1	2	28	39	2	3	6	277	373	349	722	72	327	17	12	321	68	—	—	—	—	—	—
2012	28	AAA	Fresno Grizzlies	—	274	229	57	14	1	3	29	46	8	13	3	249	353	358	711	109	300	17	11	318	61	—	—	—	—	—	—
2012	28	A+	San Jose Giants	—	94	75	20	3	1	0	15	16	1	1	1	267	396	333	729	67	333	17	16	331	67	—	—	—	—	—	—
2013	29	AA	Richmond Flying Squirrels	—	134	118	32	7	1	1	10	15	2	1	2	271	338	373	711	102	301	11	7	313	59	—	—	—	—	—	—
2013	29	A+	San Jose Giants	—	53	42	11	2	0	0	8	9	2	2	1	262	404	310	713	48	333	17	15	335	58	—	—	—	—	—	—
2014	30	AA	Richmond Flying Squirrels	—	372	296	69	14	2	0	58	56	11	12	8	233	378	294	672	61	283	15	16	316	57	—	—	—	—	—	—
2015	31	AAA	Sacramento River Cats	—	76	65	17	4	0	0	9	7	2	1	2	262	368	323	691	62	293	9	12	324	57	—	—	—	—	—	—
2015	31	A+	San Jose Giants	—	76	66	17	7	0	0	7	13	2	2	1	258	347	364	710	106	321	17	9	321	53	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	23	ROK MLE	AZL Giants	—	78	66	14	2	0	2	7	13	4	7	1	212	325	333	658	121	232	17	9	276	73	—	—	—	—	—	—
2008	24	A MLE	Augusta GreenJackets	—	66	59	10	0	0	0	6	12	1	2	1	169	258	169	427		215	18	9	210	28	—	—	—	—	—	—
2009	25	A+ MLE	San Jose Giants	—	119	104	25	6	1	2	7	25	3	1	0	240	307	375	682	135	263	21	6	277	74	—	—	—	—	—	—
2010	26	AA MLE	Richmond Flying Squirrels	—	157	144	33	3	1	2	5	42	2	6	0	229	265	306	570	76	286	27	3	237	47	—	—	—	—	—	—
2010	26	A MLE	Augusta GreenJackets	—	110	92	15	4	1	0	8	20	4	6	1	163	260	228	488	65	186	18	7	225	38	—	—	—	—	—	—
2011	27	AA MLE	Richmond Flying Squirrels	—	234	207	51	5	1	2	16	49	2	3	6	246	307	309	616	63	285	21	7	268	68	—	—	—	—	—	—
2012	28	AAA MLE	Fresno Grizzlies	—	274	239	51	12	1	3	19	63	8	13	3	213	293	310	603	96	261	23	7	259	61	—	—	—	—	—	—
2012	28	A+ MLE	San Jose Giants	—	94	80	19	3	1	0	10	21	1	1	1	237	330	300	630	62	290	22	11	267	67	—	—	—	—	—	—
2013	29	AA MLE	Richmond Flying Squirrels	—	134	122	29	6	1	1	6	19	2	1	2	238	285	328	612	90	255	14	4	256	59	—	—	—	—	—	—
2013	29	A+ MLE	San Jose Giants	—	53	45	10	2	0	0	5	12	2	2	1	222	327	267	594	44	275	23	9	254	58	—	—	—	—	—	—
2014	30	AA MLE	Richmond Flying Squirrels	—	372	319	64	12	2	0	35	67	11	12	8	201	301	251	552	50	242	18	9	253	57	—	—	—	—	—	—
2015	31	AAA MLE	Sacramento River Cats	—	76	68	14	3	0	0	6	9	2	1	2	206	289	250	539	44	236	12	8	252	57	—	—	—	—	—	—
2015	31	A+ MLE	San Jose Giants	—	76	68	14	5	0	0	5	18	2	2	1	206	280	279	559	74	274	24	7	247	53	—	—	—	—	—	—
2007	23	ROK MLE	AZL Giants	—	78	66	14	2	0	2	7	13	4	7	1	212	325	333	658	121	235	17	9	276	73	—	—	—	—	—	—
2007	23	ROK RAW	AZL Giants	—	78	62	18	3	0	2	11	9	4	7	1	290	429	435	864	145	314	12	14	390	73	—	—	—	—	—	—
2008	24	A MLE	Augusta GreenJackets	—	66	59	10	0	0	0	6	12	1	2	1	169	258	169	427		213	18	9	210	28	—	—	—	—	—	—
2008	24	A RAW	Augusta GreenJackets	—	66	55	11	0	0	0	10	9	1	2	1	200	333	200	533		239	14	15	268	28	—	—	—	—	—	—
2009	25	A+ MLE	San Jose Giants	—	119	104	25	6	1	2	7	25	3	1	0	240	307	375	682	135	291	21	6	277	74	—	—	—	—	—	—
2009	25	A+ RAW	San Jose Giants	—	119	101	27	7	1	2	10	19	3	1	0	267	351	416	767	149	305	16	8	331	74	—	—	—	—	—	—
2010	26	AA MLE	2 teams	—	267	236	48	7	2	2	13	62	6	12	1	203	263	275	538	72	258	23	5	232	43	—	—	—	—	—	—
2010	26	AA RAW	2 teams	—	267	229	51	8	2	2	20	50	6	12	1	223	302	301	603	79	268	19	7	267	43	—	—	—	—	—	—
2011	27	AA MLE	Richmond Flying Squirrels	—	234	207	51	5	1	2	16	49	2	3	6	246	307	309	616	63	304	21	7	268	68	—	—	—	—	—	—
2011	27	AA RAW	Richmond Flying Squirrels	—	234	195	54	6	1	2	28	39	2	3	6	277	373	349	722	72	327	17	12	321	68	—	—	—	—	—	—
2012	28	AAA MLE	2 teams	—	368	319	69	14	2	3	29	84	9	14	4	216	300	301	601	85	283	23	8	261	63	—	—	—	—	—	—
2012	28	AAA RAW	2 teams	—	368	304	77	17	2	3	44	62	9	14	4	253	364	352	716	99	308	17	12	322	63	—	—	—	—	—	—
2013	29	AA MLE	2 teams	—	187	167	38	7	1	1	11	31	4	3	3	228	291	299	591	72	272	17	6	255	59	—	—	—	—	—	—
2013	29	AA RAW	2 teams	—	187	160	43	9	1	1	18	24	4	3	3	269	357	356	713	88	309	13	10	319	59	—	—	—	—	—	—
2014	30	AA MLE	Richmond Flying Squirrels	—	372	319	64	12	2	0	35	67	11	12	8	201	301	251	552	50	250	18	9	253	57	—	—	—	—	—	—
2014	30	AA RAW	Richmond Flying Squirrels	—	372	296	69	14	2	0	58	56	11	12	8	233	378	294	672	61	283	15	16	316	57	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	152	136	28	8	0	0	11	26	4	3	3	206	285	265	549	59	255	17	7	249	55	—	—	—	—	—	—
2015	31	AAA RAW	2 teams	—	152	131	34	11	0	0	16	20	4	3	3	260	358	344	701	84	306	13	11	323	55	—	—	—	—	—	—
2007	23	ROK MLE	AZL Giants	—	78	67	14	2	0	2	7	13	4	7	1	209	325	328	653	119	232	17	9	276	73	—	—	—	—	—	—
2008	24	A MLE	Augusta GreenJackets	—	66	59	10	0	0	0	6	12	1	2	1	169	258	169	427		215	18	9	210	28	—	—	—	—	—	—
2009	25	A+ MLE	San Jose Giants	—	119	108	25	6	1	2	7	25	3	1	0	231	307	361	668	130	263	21	6	277	74	—	—	—	—	—	—
2010	26	AA MLE	2 teams	—	267	246	48	7	2	2	13	62	6	12	1	195	263	264	527	69	245	23	5	232	43	—	—	—	—	—	—
2011	27	AA MLE	Richmond Flying Squirrels	—	234	214	51	5	1	2	16	49	2	3	6	238	307	299	606	61	285	21	7	268	68	—	—	—	—	—	—
2012	28	AAA MLE	2 teams	—	368	327	69	14	2	3	29	84	9	14	4	211	300	294	593	83	268	23	8	261	63	—	—	—	—	—	—
2013	29	AA MLE	2 teams	—	187	170	38	7	1	1	11	31	4	3	3	224	291	294	585	71	261	17	6	255	59	—	—	—	—	—	—
2014	30	AA MLE	Richmond Flying Squirrels	—	372	323	64	12	2	0	35	67	11	12	8	198	301	248	549	50	242	18	9	253	57	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	152	136	28	8	0	0	11	26	4	3	3	206	285	265	549	59	255	17	7	249	55	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1843	1613	347	61	9	12	135	369	44	57	27	215	294	286	580	71	268	20	7	254	58	-91	+1	+0	+7	+40	-4.5
/ 162G	—	MLE		—	650	569	122	22	3	4	48	130	16	20	10	214	294	285	579	70	267	20	7	254	58	-32	+0	+0	+2	+14	-1.6

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.

2015 AAASacramento River Cats · 76 PAwOBA .317 → .252 (−65)K% 9.2% → 11.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.21%	÷1.047	×1.290	—	—	11.35%
BB% (unintentional) /PA	11.84%	÷0.960	×0.710	—	×0.962	8.43%
HBP% /PA	2.63%	—	×0.980	—	×0.962	2.48%
Singles /BIP	22.41%	÷1.003	×0.900	×0.962	×0.962	18.60%
Doubles /BIP	6.90%	÷1.024	×0.810	×0.962	×0.962	5.05%
Triples /BIP	0.00%	÷0.925	×0.810	×0.962	×0.962	0.00%
Home runs /BIP	0.00%	÷0.982	×0.780	—	×0.962	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — 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 ×0.962.

Result: wOBA .317 → .252; ISO .062 → .046; BABIP .293 → .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).

2015 A+San Jose Giants · 76 PAwOBA .313 → .247 (−66)K% 17.1% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.11%	÷0.983	×1.340	—	—	23.32%
BB% (unintentional) /PA	9.21%	÷0.996	×0.710	—	×0.940	6.17%
HBP% /PA	2.63%	—	×0.790	—	×0.940	1.95%
Singles /BIP	18.87%	÷0.971	×0.910	×1.050	×0.940	17.45%
Doubles /BIP	13.21%	÷1.071	×0.820	×1.050	×0.940	9.98%
Triples /BIP	0.00%	÷1.150	×0.760	×1.050	×0.940	0.00%
Home runs /BIP	0.00%	÷1.031	×0.920	—	×0.940	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 94, 2B 114, 3B 130, K 97, BB 99 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .313 → .247; ISO .106 → .079; BABIP .321 → .274. 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 · 372 PAwOBA .312 → .253 (−59)K% 15.1% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.05%	÷1.012	×1.220	—	—	18.14%
BB% (unintentional) /PA	15.32%	÷1.075	×0.700	—	×0.948	9.46%
HBP% /PA	2.96%	—	×0.850	—	×0.948	2.38%
Singles /BIP	22.08%	÷1.014	×0.970	×0.962	×0.948	19.28%
Doubles /BIP	5.83%	÷0.983	×0.860	×0.962	×0.948	4.66%
Triples /BIP	0.83%	÷1.061	×0.950	×0.962	×0.948	0.68%
Home runs /BIP	0.00%	÷0.918	×0.780	—	×0.948	0.00%

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 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 ×0.962.

Result: wOBA .312 → .253; ISO .061 → .053; BABIP .283 → .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).

2013 AARichmond Flying Squirrels · 134 PAwOBA .307 → .256 (−51)K% 11.2% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.19%	÷0.969	×1.220	—	—	14.09%
BB% (unintentional) /PA	7.46%	÷1.036	×0.700	—	×0.958	4.83%
HBP% /PA	1.49%	—	×0.850	—	×0.958	1.22%
Singles /BIP	22.33%	÷1.018	×0.970	×0.958	×0.958	19.51%
Doubles /BIP	6.80%	÷1.030	×0.860	×0.958	×0.958	5.21%
Triples /BIP	0.97%	÷1.011	×0.950	×0.958	×0.958	0.84%
Home runs /BIP	0.97%	÷0.934	×0.780	—	×0.958	0.78%

Factors used: league row EL. Park (home-season share, regressed): HR 87, 1B 104, 2B 106, 3B 102, K 94, BB 107 — 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 ×0.958.

Result: wOBA .307 → .256; ISO .102 → .084; BABIP .301 → .255. 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 · 53 PAwOBA .328 → .254 (−74)K% 17.0% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.98%	÷0.992	×1.340	—	—	22.95%
BB% (unintentional) /PA	15.09%	÷1.063	×0.710	—	×0.940	9.48%
HBP% /PA	3.77%	—	×0.790	—	×0.940	2.80%
Singles /BIP	27.27%	÷1.032	×0.910	—	×0.940	22.61%
Doubles /BIP	6.06%	÷0.953	×0.820	—	×0.940	4.90%
Triples /BIP	0.00%	÷0.900	×0.760	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.866	×0.920	—	×0.940	0.00%

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 29 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .328 → .254; ISO .048 → .040; BABIP .333 → .275. 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 AAAFresno Grizzlies · 274 PAwOBA .311 → .259 (−51)K% 16.8% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.79%	÷0.945	×1.290	—	—	22.93%
BB% (unintentional) /PA	10.58%	÷1.068	×0.710	—	×0.992	6.98%
HBP% /PA	2.92%	—	×0.980	—	×0.992	2.84%
Singles /BIP	21.31%	÷1.001	×0.900	×0.996	×0.992	18.92%
Doubles /BIP	7.65%	÷0.964	×0.810	×0.996	×0.992	6.35%
Triples /BIP	0.55%	÷0.940	×0.810	×0.996	×0.992	0.47%
Home runs /BIP	1.64%	÷0.834	×0.780	—	×0.992	1.52%

Factors used: league row PCL. Park (home-season share, regressed): HR 67, 1B 100, 2B 93, 3B 88, K 89, BB 114 — 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 ×0.996.

Result: wOBA .311 → .259; ISO .109 → .095; BABIP .300 → .261. 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 A+San Jose Giants · 94 PAwOBA .327 → .267 (−60)K% 17.0% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.02%	÷1.001	×1.340	—	—	22.78%
BB% (unintentional) /PA	15.96%	÷1.047	×0.710	—	×0.948	10.26%
HBP% /PA	1.06%	—	×0.790	—	×0.948	0.80%
Singles /BIP	27.12%	÷0.994	×0.910	×1.009	×0.948	23.76%
Doubles /BIP	5.08%	÷0.926	×0.820	×1.009	×0.948	4.31%
Triples /BIP	1.69%	÷0.900	×0.760	×1.009	×0.948	1.37%
Home runs /BIP	0.00%	÷0.984	×0.920	—	×0.948	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 97, 1B 99, 2B 85, 3B 80, K 100, BB 109 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .327 → .267; ISO .067 → .058; BABIP .333 → .290. 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 AARichmond Flying Squirrels · 234 PAwOBA .317 → .268 (−49)K% 16.7% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.974	×1.220	—	—	20.87%
BB% (unintentional) /PA	11.11%	÷1.081	×0.700	—	×0.978	7.04%
HBP% /PA	0.85%	—	×0.850	—	×0.978	0.71%
Singles /BIP	28.85%	÷1.075	×0.970	×1.000	×0.978	25.46%
Doubles /BIP	3.85%	÷1.048	×0.860	×1.000	×0.978	3.09%
Triples /BIP	0.64%	÷1.140	×0.950	×1.000	×0.978	0.52%
Home runs /BIP	1.28%	÷1.081	×0.780	—	×0.978	0.91%

Factors used: league row EL. Park (home-season share, regressed): HR 116, 1B 115, 2B 110, 3B 128, K 95, BB 116 — 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 ×1.000.

Result: wOBA .317 → .268; ISO .072 → .059; BABIP .327 → .285. 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).