Trey Amburgey

PosLF

B/TR/R

Born1994-10-24

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	24	AAAScranton/Wilk…	510	.274/.329/.494	22	6	78	—	.225/.266/.393
2021	26	AAAScranton/Wilk…	288	.276/.343/.475	8	1	74	—	.223/.272/.358
2022	27	AAASEA	218	.208/.281/.381	9	1	30	—	.162/.212/.270

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)
2015	20	ROK	GCL Yankees1	—	151	135	45	5	4	0	12	20	4	14	3	333	404	430	834	96	391	13	8	376	61	—	—	—	—	—	—
2016	21	A+	Tampa Yankees	—	204	190	53	9	1	1	6	45	3	4	3	279	312	353	664	74	349	22	3	292	53	—	—	—	—	—	—
2016	21	A	Charleston RiverDogs	—	72	64	18	7	2	1	6	5	1	7	0	281	352	500	852	219	288	7	8	368	90	—	—	—	—	—	—
2016	21	ROK	GCL Yankees West	—	18	16	3	1	0	0	1	4	1	0	0	188	278	250	528	62	250	22	6	251	-1	—	—	—	—	—	—
2017	22	A+	Tampa Yankees	—	506	461	109	19	3	14	33	115	8	13	3	236	299	382	681	145	283	23	7	303	42	—	—	—	—	—	—
2018	23	AA	Trenton Thunder	—	517	481	124	25	2	16	22	108	9	12	2	258	303	418	721	160	298	21	4	317	67	—	—	—	—	—	—
2019	24	AAA	Scranton/Wilkes-Barre RailRiders	—	510	470	129	31	3	22	32	112	6	6	2	274	329	494	822	219	318	22	6	359	78	—	—	—	—	—	—
2021	26	AAA	Scranton/Wilkes-Barre RailRiders	—	288	257	71	23	2	8	25	81	1	1	0	276	343	475	817	198	364	28	9	354	74	—	—	—	—	—	—
2022	27	AAA	Tacoma Rainiers	—	218	197	41	5	1	9	19	66	1	1	1	208	281	381	662	173	260	30	9	295	30	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	20	ROK MLE	GCL Yankees1	—	151	140	33	3	3	0	7	29	4	14	3	236	291	300	591	64	293	19	5	258	61	—	—	—	—	—	—
2016	21	A+ MLE	Tampa Yankees	—	204	192	45	8	1	1	4	65	3	4	3	234	261	302	563	68	322	32	2	246	53	—	—	—	—	—	—
2016	21	A MLE	Charleston RiverDogs	—	72	66	16	5	2	1	4	7	1	7	0	242	296	424	720	182	242	10	6	301	90	—	—	—	—	—	—
2016	21	ROK MLE	GCL Yankees West	—	18	16	2	1	0	0	1	6	1	0	0	125	222	188	410	62	192	33	6	167	-1	—	—	—	—	—	—
2017	22	A+ MLE	Tampa Yankees	—	506	470	83	16	2	11	24	172	8	13	3	177	229	289	518	113	244	34	5	230	42	—	—	—	—	—	—
2018	23	AA MLE	Trenton Thunder	—	517	487	112	20	2	12	16	131	9	12	2	230	268	353	621	123	281	25	3	267	67	—	—	—	—	—	—
2019	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	510	481	108	24	3	17	21	134	6	6	2	225	266	393	659	168	274	26	4	283	78	—	—	—	—	—	—
2021	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	288	265	59	19	1	5	17	98	1	1	0	223	272	358	631	136	318	34	6	278	74	—	—	—	—	—	—
2022	27	AAA MLE	Tacoma Rainiers	—	218	204	33	5	1	5	12	78	1	1	1	162	212	270	482	108	223	36	6	213	30	—	—	—	—	—	—
2015	20	ROK MLE	GCL Yankees1	—	151	140	33	3	3	0	7	29	4	14	3	236	291	300	591	64	297	19	5	258	61	—	—	—	—	—	—
2015	20	ROK RAW	GCL Yankees1	—	151	135	45	5	4	0	12	20	4	14	3	333	404	430	834	96	391	13	8	376	61	—	—	—	—	—	—
2016	21	A+ MLE	3 teams	—	294	275	63	14	3	2	8	77	5	11	3	229	264	324	588	95	302	26	3	255	58	—	—	—	—	—	—
2016	21	A+ RAW	3 teams	—	294	270	74	17	3	2	13	54	5	11	3	274	319	381	701	107	327	18	4	308	58	—	—	—	—	—	—
2017	22	A+ MLE	Tampa Yankees	—	506	470	83	16	2	11	24	172	8	13	3	177	229	289	518	113	247	34	5	230	42	—	—	—	—	—	—
2017	22	A+ RAW	Tampa Yankees	—	506	461	109	19	3	14	33	115	8	13	3	236	299	382	681	145	283	23	7	303	42	—	—	—	—	—	—
2018	23	AA MLE	Trenton Thunder	—	517	487	112	20	2	12	16	131	9	12	2	230	268	353	621	123	287	25	3	267	67	—	—	—	—	—	—
2018	23	AA RAW	Trenton Thunder	—	517	481	124	25	2	16	22	108	9	12	2	258	303	418	721	160	298	21	4	317	67	—	—	—	—	—	—
2019	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	510	481	108	24	3	17	21	134	6	6	2	225	266	393	659	168	276	26	4	283	78	—	—	—	—	—	—
2019	24	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	510	470	129	31	3	22	32	112	6	6	2	274	329	494	822	219	318	22	6	359	78	—	—	—	—	—	—
2021	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	288	265	59	19	1	5	17	98	1	1	0	223	272	358	631	136	323	34	6	278	74	—	—	—	—	—	—
2021	26	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	288	257	71	23	2	8	25	81	1	1	0	276	343	475	817	198	364	28	9	354	74	—	—	—	—	—	—
2022	27	AAA MLE	Tacoma Rainiers	—	218	204	33	5	1	5	12	78	1	1	1	162	212	270	482	108	230	36	6	213	30	—	—	—	—	—	—
2022	27	AAA RAW	Tacoma Rainiers	—	218	197	41	5	1	9	19	66	1	1	1	208	281	381	662	173	260	30	9	295	30	—	—	—	—	—	—
2015	20	ROK MLE	GCL Yankees1	—	151	139	33	3	3	0	7	29	4	14	3	237	291	302	594	65	293	19	5	258	61	—	—	—	—	—	—
2016	21	A+ MLE	3 teams	—	294	279	63	14	3	2	8	77	5	11	3	226	264	319	583	93	294	26	3	255	58	—	—	—	—	—	—
2017	22	A+ MLE	Tampa Yankees	—	506	469	83	16	2	11	24	172	8	13	3	177	229	290	519	113	244	34	5	230	42	—	—	—	—	—	—
2018	23	AA MLE	Trenton Thunder	—	517	487	112	20	2	12	16	131	9	12	2	230	268	353	621	123	281	25	3	267	67	—	—	—	—	—	—
2019	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	510	478	108	24	3	17	21	134	6	6	2	226	266	395	661	169	274	26	4	283	78	—	—	—	—	—	—
2021	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	288	268	59	19	1	5	17	98	1	1	0	220	272	354	627	134	318	34	6	278	74	—	—	—	—	—	—
2022	27	AAA MLE	Tacoma Rainiers	—	218	203	33	5	1	5	12	78	1	1	1	163	212	271	483	108	223	36	6	213	30	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2484	2322	491	101	15	52	105	719	34	58	14	211	256	335	591	124	279	29	4	257	60	-117	+6	+0	-27	+54	-8.6
/ 162G	—	MLE		—	650	608	129	26	4	14	27	188	9	15	4	212	256	337	593	125	280	29	4	257	60	-31	+1	+0	-7	+14	-2.3

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.

2022 AAATacoma Rainiers · 218 PAwOBA .288 → .213 (−75)K% 30.3% → 35.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.28%	÷1.020	×1.200	—	—	35.63%
BB% (unintentional) /PA	8.72%	÷1.048	×0.690	—	×0.992	5.69%
HBP% /PA	0.46%	—	×0.940	—	×0.992	0.43%
Singles /BIP	19.85%	÷1.013	×0.930	×0.950	×0.992	17.17%
Doubles /BIP	3.82%	÷0.839	×0.830	×0.950	×0.992	3.56%
Triples /BIP	0.76%	÷0.902	×0.970	×0.950	×0.992	0.77%
Home runs /BIP	6.87%	÷1.144	×0.700	—	×0.992	4.17%

Factors used: league row International League. Park (home-season share, regressed): HR 129, 1B 103, 2B 68, 3B 80, K 104, BB 110 — 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 ×0.950.

Result: wOBA .288 → .213; ISO .173 → .114; BABIP .260 → .223. 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).

2021 AAAScranton/Wilkes-Barre RailRiders · 288 PAwOBA .349 → .278 (−72)K% 28.1% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.12%	÷0.993	×1.200	—	—	33.98%
BB% (unintentional) /PA	8.33%	÷0.973	×0.690	—	×1.003	5.93%
HBP% /PA	0.35%	—	×0.940	—	×1.003	0.33%
Singles /BIP	21.59%	÷0.974	×0.930	×0.950	×1.003	19.64%
Doubles /BIP	13.07%	÷0.915	×0.830	×0.950	×1.003	11.30%
Triples /BIP	1.14%	÷1.150	×0.920	×0.950	×1.003	0.87%
Home runs /BIP	4.55%	÷1.149	×0.700	—	×1.003	2.78%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 130, 1B 95, 2B 83, 3B 130, K 99, BB 95 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .349 → .278; ISO .198 → .143; BABIP .364 → .318. 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).

2019 AAAScranton/Wilkes-Barre RailRiders · 510 PAwOBA .348 → .283 (−65)K% 22.0% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.96%	÷1.007	×1.200	—	—	26.17%
BB% (unintentional) /PA	6.08%	÷1.066	×0.690	—	×1.033	4.07%
HBP% /PA	1.18%	—	×0.940	—	×1.033	1.14%
Singles /BIP	20.39%	÷1.019	×0.930	×0.950	×1.033	18.26%
Doubles /BIP	8.66%	÷1.009	×0.830	×0.950	×1.033	6.99%
Triples /BIP	0.84%	÷0.938	×0.970	×0.950	×1.033	0.85%
Home runs /BIP	6.15%	÷1.087	×0.840	—	×1.033	4.90%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — 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 .348 → .283; ISO .219 → .174; BABIP .318 → .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).

2018 AATrenton Thunder · 517 PAwOBA .311 → .267 (−44)K% 20.9% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.89%	÷1.002	×1.220	—	—	25.43%
BB% (unintentional) /PA	4.26%	÷0.972	×0.700	—	×1.012	3.10%
HBP% /PA	1.74%	—	×0.850	—	×1.012	1.50%
Singles /BIP	21.72%	÷0.954	×0.970	×0.969	×1.012	21.65%
Doubles /BIP	6.70%	÷1.042	×0.860	×0.969	×1.012	5.42%
Triples /BIP	0.54%	÷0.944	×0.950	×0.969	×1.012	0.53%
Home runs /BIP	4.29%	÷1.034	×0.780	—	×1.012	3.28%

Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 91, 2B 108, 3B 89, K 100, BB 94 — 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 ×0.969.

Result: wOBA .311 → .267; ISO .160 → .123; BABIP .298 → .281. 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 A+Tampa Yankees · 506 PAwOBA .296 → .230 (−67)K% 22.7% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷0.949	×1.420	—	—	34.01%
BB% (unintentional) /PA	6.32%	÷1.007	×0.750	—	×0.998	4.70%
HBP% /PA	1.58%	—	×0.930	—	×0.998	1.47%
Singles /BIP	21.10%	÷1.071	×0.920	×0.989	×0.998	17.88%
Doubles /BIP	5.49%	÷0.995	×0.960	×0.989	×0.998	5.23%
Triples /BIP	0.87%	÷1.031	×0.810	×0.989	×0.998	0.67%
Home runs /BIP	4.05%	÷0.949	×0.880	—	×0.998	3.75%

Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 114, 2B 99, 3B 106, K 90, BB 101 — 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 ×0.989.

Result: wOBA .296 → .230; ISO .145 → .117; BABIP .283 → .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).

2016 A+Tampa Yankees · 204 PAwOBA .290 → .246 (−43)K% 22.1% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.06%	÷0.988	×1.420	—	—	31.69%
BB% (unintentional) /PA	2.45%	÷1.021	×0.750	—	×1.012	1.82%
HBP% /PA	1.47%	—	×0.930	—	×1.012	1.38%
Singles /BIP	28.97%	÷1.022	×0.920	×0.996	×1.012	26.29%
Doubles /BIP	6.21%	÷0.953	×0.960	×0.996	×1.012	6.31%
Triples /BIP	0.69%	÷1.032	×0.810	×0.996	×1.012	0.55%
Home runs /BIP	0.69%	÷0.862	×0.880	—	×1.012	0.71%

Factors used: league row FSL. Park (home-season share, regressed): HR 72, 1B 104, 2B 91, 3B 106, K 98, BB 104 — 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 ×0.996.

Result: wOBA .290 → .246; ISO .074 → .067; BABIP .349 → .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).

2016 ACharleston RiverDogs · 72 PAwOBA .363 → .301 (−61)K% 6.9% → 9.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.94%	÷1.017	×1.340	—	—	9.15%
BB% (unintentional) /PA	8.33%	÷0.995	×0.660	—	—	5.53%
HBP% /PA	1.39%	—	×0.770	—	—	1.07%
Singles /BIP	13.56%	÷1.000	×0.920	×0.993	—	12.38%
Doubles /BIP	11.86%	÷1.145	×0.820	×0.993	—	8.43%
Triples /BIP	3.39%	÷0.930	×0.940	×0.993	—	3.40%
Home runs /BIP	1.69%	÷0.895	×0.820	—	—	1.55%

Factors used: league row SAL. Park (home-season share, regressed): HR 79, 1B 100, 2B 129, 3B 86, K 103, BB 99 — 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 ×0.993.

Result: wOBA .363 → .301; ISO .219 → .189; BABIP .288 → .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).

2016 ROKGCL Yankees West · 18 PAwOBA .245 → .167 (−79)K% 22.2% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.000	×1.440	—	—	32.00%
BB% (unintentional) /PA	5.56%	÷1.000	×0.620	—	×0.975	3.36%
HBP% /PA	5.56%	—	×0.720	—	×0.975	3.90%
Singles /BIP	16.67%	÷1.000	×0.820	—	×0.975	13.32%
Doubles /BIP	8.33%	÷1.000	×0.720	—	×0.975	5.85%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.975	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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .245 → .167; ISO .062 → .040; BABIP .250 → .192. 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).