Kevin Taylor

Pos2B

B/TL/R

Born1991-07-13

Age (2027)36

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	25	A+NYM	464	.288/.387/.404	8	0	91	—	.252/.328/.356
2017	26	AANYM	448	.292/.380/.373	3	2	96	—	.288/.348/.352
2018	27	AANYM	478	.263/.315/.332	2	3	58	—	.240/.277/.300

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)
2012	21	A	Great Lakes Loons	—	197	183	44	6	1	2	9	25	2	4	5	240	284	317	600	77	269	13	5	269	43	—	—	—	—	—	—
2013	22	A	Great Lakes Loons	—	299	259	64	7	1	5	32	43	4	4	4	247	339	340	679	93	280	14	11	309	65	—	—	—	—	—	—
2016	25	A+	St. Lucie Mets	—	464	399	115	20	1	8	56	55	8	0	0	288	387	404	790	115	318	12	12	359	91	—	—	—	—	—	—
2017	26	AA	Binghamton Rumble Ponies	—	448	383	112	20	1	3	54	53	1	2	1	292	380	373	753	81	326	12	12	338	96	—	—	—	—	—	—
2018	27	AA	Binghamton Rumble Ponies	—	478	437	115	18	3	2	31	55	3	3	1	263	315	332	647	69	294	12	6	291	58	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	A MLE	Great Lakes Loons	—	197	186	42	5	1	2	6	34	2	4	5	226	258	296	553	70	257	17	3	232	43	—	—	—	—	—	—
2013	22	A MLE	Great Lakes Loons	—	299	269	60	6	1	4	22	57	4	4	4	223	292	297	589	74	266	19	7	264	65	—	—	—	—	—	—
2016	25	A+ MLE	St. Lucie Mets	—	464	416	105	20	1	7	39	82	8	0	0	252	328	356	684	103	295	18	8	303	91	—	—	—	—	—	—
2017	26	AA MLE	Binghamton Rumble Ponies	—	448	403	116	18	1	2	36	62	1	2	1	288	348	352	700	65	320	14	8	310	96	—	—	—	—	—	—
2018	27	AA MLE	Binghamton Rumble Ponies	—	478	450	108	17	2	2	20	68	3	3	1	240	277	300	577	60	271	14	4	254	58	—	—	—	—	—	—
2012	21	A MLE	Great Lakes Loons	—	197	186	42	5	1	2	6	34	2	4	5	226	258	296	553	70	267	17	3	232	43	—	—	—	—	—	—
2012	21	A RAW	Great Lakes Loons	—	197	183	44	6	1	2	9	25	2	4	5	240	284	317	600	77	269	13	5	269	43	—	—	—	—	—	—
2013	22	A MLE	Great Lakes Loons	—	299	269	60	6	1	4	22	57	4	4	4	223	292	297	589	74	269	19	7	264	65	—	—	—	—	—	—
2013	22	A RAW	Great Lakes Loons	—	299	259	64	7	1	5	32	43	4	4	4	247	339	340	679	93	280	14	11	309	65	—	—	—	—	—	—
2016	25	A+ MLE	St. Lucie Mets	—	464	416	105	20	1	7	39	82	8	0	0	252	328	356	684	103	299	18	8	303	91	—	—	—	—	—	—
2016	25	A+ RAW	St. Lucie Mets	—	464	399	115	20	1	8	56	55	8	0	0	288	387	404	790	115	318	12	12	359	91	—	—	—	—	—	—
2017	26	AA MLE	Binghamton Rumble Ponies	—	448	403	116	18	1	2	36	62	1	2	1	288	348	352	700	65	329	14	8	310	96	—	—	—	—	—	—
2017	26	AA RAW	Binghamton Rumble Ponies	—	448	383	112	20	1	3	54	53	1	2	1	292	380	373	753	81	326	12	12	338	96	—	—	—	—	—	—
2018	27	AA MLE	Binghamton Rumble Ponies	—	478	450	108	17	2	2	20	68	3	3	1	240	277	300	577	60	275	14	4	254	58	—	—	—	—	—	—
2018	27	AA RAW	Binghamton Rumble Ponies	—	478	437	115	18	3	2	31	55	3	3	1	263	315	332	647	69	294	12	6	291	58	—	—	—	—	—	—
2012	21	A MLE	Great Lakes Loons	—	197	187	42	5	1	2	6	34	2	4	5	225	258	294	552	70	257	17	3	232	43	—	—	—	—	—	—
2013	22	A MLE	Great Lakes Loons	—	299	271	60	6	1	4	22	57	4	4	4	221	292	295	587	74	266	19	7	264	65	—	—	—	—	—	—
2016	25	A+ MLE	St. Lucie Mets	—	464	414	105	20	1	7	39	82	8	0	0	254	328	357	686	104	295	18	8	303	91	—	—	—	—	—	—
2017	26	AA MLE	Binghamton Rumble Ponies	—	448	408	116	18	1	2	36	62	1	2	1	284	348	348	696	64	320	14	8	310	96	—	—	—	—	—	—
2018	27	AA MLE	Binghamton Rumble Ponies	—	478	452	108	17	2	2	20	68	3	3	1	239	277	299	576	60	271	14	4	254	58	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1886	1724	431	66	6	17	123	303	18	13	11	250	307	325	632	75	292	16	7	279	75	-57	-2	+0	+7	+41	-1.1
/ 162G	—	MLE		—	650	594	149	23	2	6	42	104	6	4	4	251	306	327	633	76	293	16	6	279	75	-20	-1	+0	+2	+14	-0.4

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 AABinghamton Rumble Ponies · 478 PAwOBA .286 → .254 (−32)K% 11.5% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.51%	÷0.992	×1.220	—	—	14.15%
BB% (unintentional) /PA	6.28%	÷1.028	×0.700	—	×0.978	4.18%
HBP% /PA	0.63%	—	×0.850	—	×0.978	0.52%
Singles /BIP	24.08%	÷1.009	×0.970	×0.987	×0.978	22.36%
Doubles /BIP	4.71%	÷0.906	×0.860	×0.987	×0.978	4.32%
Triples /BIP	0.79%	÷1.134	×0.950	×0.987	×0.978	0.64%
Home runs /BIP	0.52%	÷1.013	×0.780	—	×0.978	0.39%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 102, 2B 81, 3B 127, K 98, BB 106 — 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 ×0.987.

Result: wOBA .286 → .254; ISO .069 → .060; BABIP .294 → .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).

2017 AABinghamton Rumble Ponies · 448 PAwOBA .334 → .310 (−24)K% 11.8% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.83%	÷1.046	×1.220	—	—	13.80%
BB% (unintentional) /PA	11.61%	÷0.986	×0.700	—	×0.988	8.15%
HBP% /PA	0.22%	—	×0.850	—	×0.988	0.19%
Singles /BIP	26.67%	÷0.971	×0.970	×1.033	×0.988	27.19%
Doubles /BIP	6.06%	÷1.056	×0.860	×1.033	×0.988	5.04%
Triples /BIP	0.30%	÷1.150	×0.950	×1.033	×0.988	0.26%
Home runs /BIP	0.91%	÷1.365	×0.780	—	×0.988	0.51%

Factors used: league row EL. Park (home-season share, regressed): HR 173, 1B 94, 2B 111, 3B 130, K 109, BB 97 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .334 → .310; ISO .081 → .065; BABIP .326 → .320. 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+St. Lucie Mets · 464 PAwOBA .350 → .303 (−47)K% 11.9% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.85%	÷0.959	×1.420	—	—	17.56%
BB% (unintentional) /PA	11.64%	÷1.032	×0.750	—	×0.978	8.27%
HBP% /PA	1.72%	—	×0.930	—	×0.978	1.57%
Singles /BIP	25.00%	÷0.994	×0.920	×1.014	×0.978	22.95%
Doubles /BIP	5.81%	÷0.956	×0.960	×1.014	×0.978	5.79%
Triples /BIP	0.29%	÷1.017	×0.810	×1.014	×0.978	0.23%
Home runs /BIP	2.33%	÷0.943	×0.880	—	×0.978	2.12%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 99, 2B 91, 3B 103, K 92, BB 106 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .350 → .303; ISO .115 → .106; BABIP .318 → .295. 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 AGreat Lakes Loons · 299 PAwOBA .302 → .264 (−37)K% 14.4% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.38%	÷1.035	×1.360	—	—	18.90%
BB% (unintentional) /PA	10.70%	÷1.023	×0.690	—	—	7.22%
HBP% /PA	1.34%	—	×0.780	—	—	1.04%
Singles /BIP	23.61%	÷1.006	×0.920	×1.050	—	22.68%
Doubles /BIP	3.24%	÷0.983	×0.830	×1.050	—	2.87%
Triples /BIP	0.46%	÷0.960	×0.910	×1.050	—	0.46%
Home runs /BIP	2.31%	÷0.898	×0.800	—	—	2.06%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 101, 2B 97, 3B 92, K 107, BB 105 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .302 → .264; ISO .093 → .084; BABIP .280 → .266. 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 AGreat Lakes Loons · 197 PAwOBA .261 → .232 (−30)K% 12.7% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.69%	÷0.999	×1.360	—	—	17.28%
BB% (unintentional) /PA	4.57%	÷1.050	×0.690	—	×1.015	3.05%
HBP% /PA	1.02%	—	×0.780	—	×1.015	0.80%
Singles /BIP	22.15%	÷0.979	×0.920	×1.032	×1.015	21.80%
Doubles /BIP	3.80%	÷1.074	×0.830	×1.032	×1.015	3.07%
Triples /BIP	0.63%	÷0.992	×0.910	×1.032	×1.015	0.61%
Home runs /BIP	1.27%	÷1.034	×0.800	—	×1.015	0.99%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 96, 2B 115, 3B 98, K 100, BB 110 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .261 → .232; ISO .077 → .062; BABIP .269 → .257. 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).