Tyler Horan

PosRF

B/TL/R

Born1990-12-02

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	24	A+SF	396	.215/.313/.392	13	5	47	—	.169/.239/.306
2016	25	AA/INTL2 orgs	352	.260/.338/.442	12	4	81	—	.233/.281/.380
2017	26	AASF	86	.218/.282/.321	1	0	32	—	.175/.224/.262

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)
2013	22	ROK	AZL Giants	—	56	49	12	5	1	0	6	12	0	1	0	245	327	388	715	143	316	21	11	315	29	—	—	—	—	—	—
2014	23	A+	San Jose Giants	—	117	106	34	5	1	10	9	31	1	6	4	321	379	670	1.049	349	364	26	8	446	130	—	—	—	—	—	—
2014	23	A	Augusta GreenJackets	—	417	370	101	22	5	15	39	97	6	9	4	273	352	481	833	208	331	23	9	366	80	—	—	—	—	—	—
2015	24	A+	San Jose Giants	—	396	344	74	20	1	13	47	96	2	5	5	215	313	392	705	177	256	24	12	315	47	—	—	—	—	—	—
2016	25	AA	Richmond Flying Squirrels	—	323	287	76	12	4	12	31	79	2	4	3	265	341	460	801	195	322	24	10	351	82	—	—	—	—	—	—
2016	25	INTL	Bravos de Margarita	—	29	25	5	1	0	0	4	13	0	0	0	200	310	240	550	40	417	45	14	265	66	—	—	—	—	—	—
2017	26	AA	Richmond Flying Squirrels	—	86	78	17	3	1	1	7	22	0	0	2	218	282	321	603	103	286	26	8	271	32	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	22	ROK MLE	AZL Giants	—	56	51	9	3	1	0	4	17	0	1	0	176	236	275	511	98	234	30	7	211	29	—	—	—	—	—	—
2014	23	A+ MLE	San Jose Giants	—	117	109	29	4	1	9	6	40	1	6	4	266	310	569	879	303	310	34	5	361	130	—	—	—	—	—	—
2014	23	A MLE	Augusta GreenJackets	—	417	384	83	17	5	13	25	123	6	9	4	216	275	388	663	172	277	29	6	286	80	—	—	—	—	—	—
2015	24	A+ MLE	San Jose Giants	—	396	360	61	14	1	11	31	131	2	5	5	169	239	306	545	136	220	33	8	238	47	—	—	—	—	—	—
2016	25	AA MLE	Richmond Flying Squirrels	—	323	300	70	11	3	9	18	99	2	4	3	233	281	380	661	147	308	31	6	289	82	—	—	—	—	—	—
2017	26	AA MLE	Richmond Flying Squirrels	—	86	80	14	2	1	1	5	28	0	0	2	175	224	263	486	88	253	33	6	215	32	—	—	—	—	—	—
2013	22	ROK MLE	AZL Giants	—	56	51	9	3	1	0	4	17	0	1	0	176	236	275	511	98	257	30	7	211	29	—	—	—	—	—	—
2013	22	ROK RAW	AZL Giants	—	56	49	12	5	1	0	6	12	0	1	0	245	327	388	715	143	316	21	11	315	29	—	—	—	—	—	—
2014	23	A MLE	2 teams	—	534	494	111	21	5	22	30	164	7	15	8	225	279	421	700	196	286	31	6	302	91	—	—	—	—	—	—
2014	23	A RAW	2 teams	—	534	476	135	27	6	25	48	128	7	15	8	284	358	523	881	239	337	24	9	383	91	—	—	—	—	—	—
2015	24	A+ MLE	San Jose Giants	—	396	360	61	14	1	11	31	131	2	5	5	169	239	306	545	136	226	33	8	238	47	—	—	—	—	—	—
2015	24	A+ RAW	San Jose Giants	—	396	344	74	20	1	13	47	96	2	5	5	215	313	392	705	177	256	24	12	315	47	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	352	327	77	12	4	10	20	108	2	4	3	235	284	388	672	153	316	31	6	289	82	—	—	—	—	—	—
2016	25	AA RAW	2 teams	—	352	312	81	13	4	12	35	92	2	4	3	260	338	442	780	183	327	26	10	344	82	—	—	—	—	—	—
2017	26	AA MLE	Richmond Flying Squirrels	—	86	80	14	2	1	1	5	28	0	0	2	175	224	263	486	88	250	33	6	215	32	—	—	—	—	—	—
2017	26	AA RAW	Richmond Flying Squirrels	—	86	78	17	3	1	1	7	22	0	0	2	218	282	321	603	103	286	26	8	271	32	—	—	—	—	—	—
2013	22	ROK MLE	AZL Giants	—	56	52	9	3	1	0	4	17	0	1	0	173	236	269	506	96	234	30	7	211	29	—	—	—	—	—	—
2014	23	A MLE	2 teams	—	534	492	111	21	5	22	30	164	7	15	8	226	279	423	701	197	284	31	6	302	91	—	—	—	—	—	—
2015	24	A+ MLE	San Jose Giants	—	396	360	61	14	1	11	31	131	2	5	5	169	239	306	545	136	220	33	8	238	47	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	352	327	77	12	4	10	20	108	2	4	3	235	284	388	672	153	308	31	6	289	82	—	—	—	—	—	—
2017	26	AA MLE	Richmond Flying Squirrels	—	86	81	14	2	1	1	5	28	0	0	2	173	224	259	483	86	253	33	6	215	32	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1424	1312	272	52	12	44	90	448	11	25	18	207	264	366	630	159	274	31	6	272	70	-50	-2	+0	-15	+31	-3.7
/ 162G	—	MLE		—	650	599	124	24	5	20	41	204	5	11	8	207	264	364	628	157	274	31	6	272	70	-23	-1	+0	-7	+14	-1.7

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.

2017 AARichmond Flying Squirrels · 86 PAwOBA .267 → .215 (−52)K% 25.6% → 32.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.58%	÷0.948	×1.220	—	—	32.92%
BB% (unintentional) /PA	8.14%	÷0.974	×0.700	—	×0.978	5.72%
HBP% /PA	0.00%	—	×0.850	—	×0.978	0.00%
Singles /BIP	21.43%	÷1.004	×0.970	×0.969	×0.978	19.61%
Doubles /BIP	5.36%	÷1.096	×0.860	×0.969	×0.978	3.98%
Triples /BIP	1.79%	÷0.900	×0.950	×0.969	×0.978	1.79%
Home runs /BIP	1.79%	÷0.848	×0.780	—	×0.978	1.61%

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 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 ×0.969.

Result: wOBA .267 → .215; ISO .103 → .084; BABIP .286 → .253. 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 · 323 PAwOBA .344 → .289 (−55)K% 24.5% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.46%	÷0.975	×1.220	—	—	30.61%
BB% (unintentional) /PA	9.29%	÷1.155	×0.700	—	×0.988	5.56%
HBP% /PA	0.62%	—	×0.850	—	×0.988	0.52%
Singles /BIP	23.08%	÷0.994	×0.970	×1.036	×0.988	23.04%
Doubles /BIP	5.77%	÷0.975	×0.860	×1.036	×0.988	5.21%
Triples /BIP	1.92%	÷1.150	×0.950	×1.036	×0.988	1.63%
Home runs /BIP	5.77%	÷0.978	×0.780	—	×0.988	4.54%

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 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 ×1.036.

Result: wOBA .344 → .289; ISO .195 → .157; BABIP .322 → .308. 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 · 396 PAwOBA .307 → .238 (−69)K% 24.2% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.24%	÷0.983	×1.340	—	—	33.05%
BB% (unintentional) /PA	11.36%	÷0.996	×0.710	—	×0.978	7.93%
HBP% /PA	0.51%	—	×0.790	—	×0.978	0.39%
Singles /BIP	16.13%	÷0.971	×0.910	×1.010	×0.978	14.92%
Doubles /BIP	8.06%	÷1.071	×0.820	×1.010	×0.978	6.10%
Triples /BIP	0.40%	÷1.150	×0.760	×1.010	×0.978	0.26%
Home runs /BIP	5.24%	÷1.031	×0.920	—	×0.978	4.58%

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 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 ×1.010.

Result: wOBA .307 → .238; ISO .177 → .137; BABIP .256 → .220. 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 AAugusta GreenJackets · 417 PAwOBA .356 → .286 (−71)K% 23.3% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.26%	÷1.053	×1.340	—	—	29.60%
BB% (unintentional) /PA	8.87%	÷0.966	×0.660	—	×0.980	5.94%
HBP% /PA	1.44%	—	×0.770	—	×0.980	1.09%
Singles /BIP	21.61%	÷1.055	×0.920	×0.987	×0.980	18.24%
Doubles /BIP	8.06%	÷0.979	×0.820	×0.987	×0.980	6.53%
Triples /BIP	1.83%	÷0.934	×0.940	×0.987	×0.980	1.78%
Home runs /BIP	5.49%	÷0.890	×0.820	—	×0.980	4.96%

Factors used: league row SAL. Park (home-season share, regressed): HR 78, 1B 111, 2B 96, 3B 87, K 111, BB 93 — 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 ×0.987.

Result: wOBA .356 → .286; ISO .208 → .178; BABIP .331 → .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).

2014 A+San Jose Giants · 117 PAwOBA .434 → .361 (−73)K% 26.5% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.50%	÷1.026	×1.340	—	—	34.62%
BB% (unintentional) /PA	6.84%	÷1.009	×0.710	—	×0.988	4.75%
HBP% /PA	0.85%	—	×0.790	—	×0.988	0.67%
Singles /BIP	24.00%	÷0.996	×0.910	×0.967	×0.988	20.95%
Doubles /BIP	6.67%	÷0.953	×0.820	×0.967	×0.988	5.48%
Triples /BIP	1.33%	÷0.979	×0.760	×0.967	×0.988	0.99%
Home runs /BIP	13.33%	÷0.931	×0.920	—	×0.988	13.01%

Factors used: league row CAL. Park (home-season share, regressed): HR 86, 1B 99, 2B 91, 3B 96, K 105, BB 102 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .434 → .361; ISO .349 → .308; BABIP .364 → .310. 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 ROKAZL Giants · 56 PAwOBA .313 → .211 (−102)K% 21.4% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷1.000	×1.440	—	—	30.86%
BB% (unintentional) /PA	10.71%	÷1.000	×0.620	—	×0.965	6.41%
HBP% /PA	0.00%	—	×0.720	—	×0.965	0.00%
Singles /BIP	16.22%	÷1.000	×0.820	—	×0.965	12.83%
Doubles /BIP	13.51%	÷1.000	×0.720	—	×0.965	9.39%
Triples /BIP	2.70%	÷1.000	×0.720	—	×0.965	1.88%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.965	0.00%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .313 → .211; ISO .143 → .094; BABIP .316 → .234. 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 — .