Taylor Sparks

Pos3B

B/TR/R

Born1993-04-03

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	23	AA/A+2 orgs	512	.200/.259/.337	14	8	29	—	.167/.212/.280
2017	24	AA/A/ROK/INTL4 orgs	320	.219/.317/.419	14	3	52	—	.131/.218/.252
2018	25	AAA/AA2 orgs	453	.206/.281/.383	14	5	38	—	.159/.216/.294

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)
2014	21	ROK	Billings Mustangs	—	240	198	46	7	7	10	31	84	7	14	1	232	356	490	846	258	333	35	13	366	38	—	—	—	—	—	—
2015	22	A+	Daytona Tortugas	—	493	446	110	22	4	13	30	162	8	14	4	247	306	401	707	155	350	33	6	310	44	—	—	—	—	—	—
2016	23	AA	Pensacola Blue Wahoos	—	247	224	40	4	1	8	17	84	4	2	0	179	249	312	561	134	239	34	7	254	23	—	—	—	—	—	—
2016	23	A+	Daytona Tortugas	—	265	245	54	14	1	6	11	57	5	6	4	220	268	359	627	139	259	22	4	277	34	—	—	—	—	—	—
2017	24	AA	Pensacola Blue Wahoos	—	73	62	8	2	0	2	9	21	2	0	0	129	260	258	518	129	154	29	12	248	1	—	—	—	—	—	—
2017	24	A	Dayton Dragons	—	141	124	28	5	1	7	12	47	5	0	0	226	319	452	771	226	300	33	9	342	32	—	—	—	—	—	—
2017	24	ROK	AZL Reds	—	24	20	5	2	0	1	3	5	1	0	0	250	375	500	875	250	286	21	12	387	58	—	—	—	—	—	—
2017	24	INTL	Scottsdale Scorpions	—	82	73	20	1	1	4	4	33	4	3	0	274	346	479	825	205	432	40	5	361	131	—	—	—	—	—	—
2018	25	AAA	Louisville Bats	—	134	126	15	4	1	4	7	66	1	1	0	119	172	262	434	143	196	49	5	195	-26	—	—	—	—	—	—
2018	25	AA	Pensacola Blue Wahoos	—	319	281	69	16	4	10	28	116	6	4	2	246	327	438	765	192	376	36	9	336	65	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	21	ROK MLE	Billings Mustangs	—	240	210	28	4	4	6	19	121	7	14	1	133	229	276	505	143	242	50	8	224	38	—	—	—	—	—	—
2015	22	A+ MLE	Daytona Tortugas	—	493	452	83	17	2	9	24	233	8	14	4	184	238	290	527	106	331	47	5	233	44	—	—	—	—	—	—
2016	23	AA MLE	Pensacola Blue Wahoos	—	247	231	35	3	1	7	10	98	4	2	0	152	200	264	464	113	212	40	4	202	23	—	—	—	—	—	—
2016	23	A+ MLE	Daytona Tortugas	—	265	248	45	11	1	5	8	81	5	6	4	181	222	294	517	113	232	31	3	218	34	—	—	—	—	—	—
2017	24	AA MLE	Pensacola Blue Wahoos	—	73	65	6	2	0	1	6	26	2	0	0	92	192	169	361	77	131	36	8	170	1	—	—	—	—	—	—
2017	24	A MLE	Dayton Dragons	—	141	128	19	3	1	4	8	65	5	0	0	148	227	281	508	133	240	46	6	216	32	—	—	—	—	—	—
2017	24	ROK MLE	AZL Reds	—	24	21	3	1	0	1	2	7	1	0	0	143	250	333	583	190	206	29	8	254	58	—	—	—	—	—	—
2018	25	AAA MLE	Louisville Bats	—	134	128	10	2	1	3	5	82	1	1	0	78	119	180	299	102	169	61	4	130	-26	—	—	—	—	—	—
2018	25	AA MLE	Pensacola Blue Wahoos	—	319	290	56	13	3	8	19	137	6	4	2	193	257	341	599	148	322	43	6	264	65	—	—	—	—	—	—
2014	21	ROK MLE	Billings Mustangs	—	240	210	28	4	4	6	19	121	7	14	1	133	229	276	505	143	253	50	8	224	38	—	—	—	—	—	—
2014	21	ROK RAW	Billings Mustangs	—	240	198	46	7	7	10	31	84	7	14	1	232	356	490	846	258	333	35	13	366	38	—	—	—	—	—	—
2015	22	A+ MLE	Daytona Tortugas	—	493	452	83	17	2	9	24	233	8	14	4	184	238	290	527	106	343	47	5	233	44	—	—	—	—	—	—
2015	22	A+ RAW	Daytona Tortugas	—	493	446	110	22	4	13	30	162	8	14	4	247	306	401	707	155	350	33	6	310	44	—	—	—	—	—	—
2016	23	A+ MLE	2 teams	—	512	479	77	14	1	11	18	179	9	8	4	161	206	263	469	102	224	35	4	210	28	—	—	—	—	—	—
2016	23	A+ RAW	2 teams	—	512	469	94	18	2	14	28	141	9	8	4	200	259	337	596	136	251	28	5	265	28	—	—	—	—	—	—
2017	24	A MLE	4 teams	—	320	287	38	8	1	8	20	132	12	3	0	132	219	251	470	118	203	41	6	206	25	—	—	—	—	—	—
2017	24	A RAW	4 teams	—	320	279	61	10	2	14	28	106	12	3	0	219	317	419	736	201	294	33	9	329	25	—	—	—	—	—	—
2018	25	AA MLE	2 teams	—	453	418	67	15	4	11	24	220	7	5	2	160	218	294	513	134	296	49	5	224	38	—	—	—	—	—	—
2018	25	AA RAW	2 teams	—	453	407	84	20	5	14	35	182	7	5	2	206	281	383	664	177	329	40	8	294	38	—	—	—	—	—	—
2014	21	ROK MLE	Billings Mustangs	—	240	212	28	4	4	6	19	121	7	14	1	132	229	274	502	142	242	50	8	224	38	—	—	—	—	—	—
2015	22	A+ MLE	Daytona Tortugas	—	493	458	83	17	2	9	24	233	8	14	4	181	238	286	524	105	331	47	5	233	44	—	—	—	—	—	—
2016	23	A+ MLE	2 teams	—	512	480	77	14	1	11	18	179	9	8	4	160	206	263	468	102	222	35	4	210	28	—	—	—	—	—	—
2017	24	A MLE	4 teams	—	320	285	38	8	1	8	20	132	12	3	0	133	219	253	472	119	203	41	6	206	25	—	—	—	—	—	—
2018	25	AA MLE	2 teams	—	453	419	67	15	4	11	24	220	7	5	2	160	218	294	512	134	277	49	5	224	38	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2018	1846	293	58	12	45	105	885	43	44	11	159	221	276	497	118	266	44	5	220	35	-156	+4	+0	+7	+44	-10.3
/ 162G	—	MLE		—	650	595	94	19	4	14	34	285	14	14	4	158	221	274	495	116	265	44	5	220	35	-50	+1	+0	+2	+14	-3.3

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.

2018 AAPensacola Blue Wahoos · 319 PAwOBA .328 → .264 (−64)K% 36.4% → 43.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.36%	÷1.030	×1.220	—	—	43.05%
BB% (unintentional) /PA	8.46%	÷0.967	×0.680	—	×0.998	5.94%
HBP% /PA	1.88%	—	×0.840	—	×0.998	1.58%
Singles /BIP	23.64%	÷1.023	×0.920	×0.971	×0.998	20.59%
Doubles /BIP	9.70%	÷1.039	×0.910	×0.971	×0.998	8.23%
Triples /BIP	2.42%	÷1.006	×0.880	×0.971	×0.998	2.06%
Home runs /BIP	6.06%	÷0.909	×0.800	—	×0.998	5.32%

Factors used: league row SL. Park (home-season share, regressed): HR 82, 1B 105, 2B 108, 3B 101, K 106, BB 93 — 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 ×0.971.

Result: wOBA .328 → .264; ISO .192 → .159; BABIP .376 → .322. 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 AAALouisville Bats · 134 PAwOBA .190 → .130 (−60)K% 49.3% → 61.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	49.25%	÷0.962	×1.200	—	—	61.42%
BB% (unintentional) /PA	5.22%	÷0.967	×0.690	—	×1.033	3.85%
HBP% /PA	0.75%	—	×0.940	—	×1.033	0.72%
Singles /BIP	10.00%	÷1.011	×0.930	×0.950	×1.033	9.03%
Doubles /BIP	6.67%	÷1.018	×0.830	×0.950	×1.033	5.34%
Triples /BIP	1.67%	÷1.001	×0.970	×0.950	×1.033	1.58%
Home runs /BIP	6.67%	÷0.988	×0.840	—	×1.033	5.86%

Factors used: league row IL. Park (home-season share, regressed): HR 98, 1B 102, 2B 104, 3B 100, K 92, BB 93 — 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 ×0.950.

Result: wOBA .190 → .130; ISO .143 → .094; BABIP .196 → .169. 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 ADayton Dragons · 141 PAwOBA .333 → .216 (−117)K% 33.3% → 46.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.984	×1.360	—	—	46.05%
BB% (unintentional) /PA	8.51%	÷1.055	×0.690	—	×0.980	5.45%
HBP% /PA	3.55%	—	×0.780	—	×0.980	2.71%
Singles /BIP	19.48%	÷1.005	×0.920	×0.950	×0.980	16.60%
Doubles /BIP	6.49%	÷0.999	×0.830	×0.950	×0.980	5.02%
Triples /BIP	1.30%	÷1.150	×0.910	×0.950	×0.980	0.96%
Home runs /BIP	9.09%	÷1.168	×0.800	—	×0.980	6.10%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 101, 2B 100, 3B 130, K 97, BB 111 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .333 → .216; ISO .226 → .131; BABIP .300 → .240. 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 AAPensacola Blue Wahoos · 73 PAwOBA .242 → .170 (−72)K% 28.8% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.77%	÷0.979	×1.220	—	—	35.85%
BB% (unintentional) /PA	12.33%	÷1.095	×0.680	—	×1.012	7.74%
HBP% /PA	2.74%	—	×0.840	—	×1.012	2.33%
Singles /BIP	9.76%	÷1.018	×0.920	×0.950	×1.012	8.48%
Doubles /BIP	4.88%	÷0.997	×0.910	×0.950	×1.012	4.28%
Triples /BIP	0.00%	÷0.943	×0.880	×0.950	×1.012	0.00%
Home runs /BIP	4.88%	÷1.399	×0.800	—	×1.012	2.82%

Factors used: league row SL. Park (home-season share, regressed): HR 180, 1B 104, 2B 99, 3B 89, K 96, BB 119 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .242 → .170; ISO .129 → .081; BABIP .154 → .131. 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 ROKAZL Reds · 24 PAwOBA .377 → .254 (−123)K% 20.8% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.83%	÷1.000	×1.440	—	—	30.00%
BB% (unintentional) /PA	12.50%	÷1.000	×0.620	—	×0.955	7.40%
HBP% /PA	4.17%	—	×0.720	—	×0.955	2.86%
Singles /BIP	13.33%	÷1.000	×0.820	—	×0.955	10.44%
Doubles /BIP	13.33%	÷1.000	×0.720	—	×0.955	9.17%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	6.67%	÷1.000	×0.780	—	×0.955	4.97%

Factors used: level-wide ROK factors (no league-specific row for this league/era). 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 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .377 → .254; ISO .250 → .173; BABIP .286 → .206. 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 A+Daytona Tortugas · 265 PAwOBA .272 → .218 (−54)K% 21.5% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.51%	÷1.004	×1.420	—	—	30.43%
BB% (unintentional) /PA	4.15%	÷1.059	×0.750	—	×0.998	2.93%
HBP% /PA	1.89%	—	×0.930	—	×0.998	1.75%
Singles /BIP	17.55%	÷0.983	×0.920	×0.980	×0.998	16.06%
Doubles /BIP	7.45%	÷1.061	×0.960	×0.980	×0.998	6.59%
Triples /BIP	0.53%	÷1.150	×0.810	×0.980	×0.998	0.37%
Home runs /BIP	3.19%	÷1.063	×0.880	—	×0.998	2.64%

Factors used: league row FSL. Park (home-season share, regressed): HR 113, 1B 97, 2B 112, 3B 130, K 101, BB 112 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .272 → .218; ISO .139 → .107; BABIP .259 → .232. 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 AAPensacola Blue Wahoos · 247 PAwOBA .247 → .202 (−45)K% 34.0% → 39.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.01%	÷1.042	×1.220	—	—	39.80%
BB% (unintentional) /PA	6.48%	÷1.075	×0.680	—	×1.027	4.21%
HBP% /PA	1.62%	—	×0.840	—	×1.027	1.40%
Singles /BIP	19.29%	÷0.993	×0.920	×0.950	×1.027	17.43%
Doubles /BIP	2.86%	÷1.081	×0.910	×0.950	×1.027	2.35%
Triples /BIP	0.71%	÷0.981	×0.880	×0.950	×1.027	0.62%
Home runs /BIP	5.71%	÷0.924	×0.800	—	×1.027	5.08%

Factors used: league row SL. Park (home-season share, regressed): HR 85, 1B 99, 2B 116, 3B 96, K 108, BB 115 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .247 → .202; ISO .134 → .113; BABIP .239 → .212. 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+Daytona Tortugas · 493 PAwOBA .305 → .233 (−72)K% 32.9% → 47.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.86%	÷0.986	×1.420	—	—	47.30%
BB% (unintentional) /PA	6.09%	÷0.934	×0.750	—	×1.012	4.94%
HBP% /PA	1.62%	—	×0.930	—	×1.012	1.53%
Singles /BIP	25.00%	÷0.969	×0.920	×1.000	×1.012	24.01%
Doubles /BIP	7.75%	÷0.988	×0.960	×1.000	×1.012	7.62%
Triples /BIP	1.41%	÷1.150	×0.810	×1.000	×1.012	1.00%
Home runs /BIP	4.58%	÷1.047	×0.880	—	×1.012	3.89%

Factors used: league row FSL. Park (home-season share, regressed): HR 109, 1B 94, 2B 98, 3B 130, K 97, BB 87 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .305 → .233; ISO .155 → .109; BABIP .350 → .331. 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 — .