Andy Burns

Pos3B

B/TR/R

Born1990-08-07

Age (2027)36

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	28	AAA/INTL2 orgs	618	.283/.375/.469	23	9	100	—	.227/.297/.386
2021	30	AAAOklahoma City…	216	.232/.364/.412	6	10	65	—	.185/.280/.312
2021	30	MLBLAD	15	.273/.467/.364	0	0	161	0.2
2022	31	AAAOklahoma City…	332	.223/.333/.346	7	5	42	—	.176/.248/.266
2023	32	No MLB games played
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR 0.2

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)
2011	20	ROK	GCL Blue Jays	—	20	16	10	0	0	1	2	0	1	0	1	625	684	812	1.497	188	562	0	10	618	254	—	—	—	—	—	—
2012	21	A	Lansing Lugnuts	—	325	278	69	25	4	9	38	75	7	15	2	248	353	464	817	216	306	23	12	360	66	—	—	—	—	—	—
2013	22	AA	New Hampshire Fisher Cats	—	291	265	67	19	2	7	23	55	0	12	5	253	312	419	731	166	291	19	8	321	72	—	—	—	—	—	—
2013	22	A+	Dunedin Blue Jays	—	283	248	81	15	5	8	25	38	2	21	9	327	391	524	915	198	349	13	9	392	112	—	—	—	—	—	—
2013	22	INTL	Salt River Rafters	—	92	77	24	5	1	0	12	13	1	6	2	312	411	403	814	91	364	14	13	363	132	—	—	—	—	—	—
2014	23	AA	New Hampshire Fisher Cats	—	553	495	126	32	5	15	41	99	6	18	8	255	319	430	749	176	285	18	7	326	74	—	—	—	—	—	—
2014	23	INTL	Bravos de Margarita	—	51	44	9	2	0	0	6	9	1	0	0	205	314	250	564	45	257	18	12	271	70	—	—	—	—	—	—
2015	24	AAA	Buffalo Bisons	—	527	478	140	26	0	4	38	69	5	6	9	293	351	372	724	79	335	13	7	325	88	—	—	—	—	—	—
2015	24	AA	New Hampshire Fisher Cats	—	24	21	5	0	0	1	3	3	0	0	0	238	333	381	714	143	235	12	12	325	62	—	—	—	—	—	—
2016	25	AAA	Buffalo Bisons	—	454	418	96	25	1	8	33	82	0	13	5	230	286	352	638	122	267	18	7	285	42	—	—	—	—	—	—
2019	28	AAA	Buffalo Bisons	—	474	411	113	17	3	19	57	83	2	6	6	275	365	470	835	195	301	18	12	368	85	—	—	—	—	—	—
2019	28	INTL	Sydney Blue Sox	—	144	122	38	7	0	4	18	21	2	3	1	311	408	467	876	156	343	15	12	387	148	—	—	—	—	—	—
2021	30	MLB	Los Angeles Dodgers	—	15	11	3	1	0	0	3	1	1	0	0	273	467	364	830	91	300	7	20	395	161	+1	+0	-0	+1	+0	0.2
2021	30	AAA	Oklahoma City Dodgers	—	216	177	41	12	1	6	36	52	1	10	2	232	364	412	777	181	289	24	17	348	65	—	—	—	—	—	—
2022	31	AAA	Oklahoma City Dodgers	—	332	283	63	14	0	7	46	86	1	5	3	223	333	346	680	124	292	26	14	311	42	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	15	11	3	1	0	0	3	1	1	0	0	273	467	364	830	91	300	7	20	395	153	+1	+0	-0	+1	+0	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	20	ROK MLE	GCL Blue Jays	—	20	17	9	0	0	1	1	0	1	0	1	529	579	706	1.285	176	451	0	5	543	254	—	—	—	—	—	—
2012	21	A MLE	Lansing Lugnuts	—	325	291	54	19	3	7	25	108	7	15	2	186	266	344	610	158	260	33	8	266	66	—	—	—	—	—	—
2013	22	AA MLE	New Hampshire Fisher Cats	—	291	272	63	16	2	6	16	69	0	12	5	232	274	371	646	140	277	24	5	274	72	—	—	—	—	—	—
2013	22	A+ MLE	Dunedin Blue Jays	—	283	256	71	14	4	6	18	53	2	21	9	277	330	434	763	156	313	19	6	334	112	—	—	—	—	—	—
2014	23	AA MLE	New Hampshire Fisher Cats	—	553	509	116	29	5	11	27	124	6	18	8	228	275	369	644	141	267	22	5	278	74	—	—	—	—	—	—
2015	24	AAA MLE	Buffalo Bisons	—	527	490	139	24	0	4	26	82	5	6	9	284	326	357	683	73	330	16	5	299	88	—	—	—	—	—	—
2015	24	AA MLE	New Hampshire Fisher Cats	—	24	22	5	0	0	1	2	4	0	0	0	227	292	364	655	136	224	17	8	260	62	—	—	—	—	—	—
2016	25	AAA MLE	Buffalo Bisons	—	454	429	85	22	1	6	22	105	0	13	5	198	237	296	533	98	243	23	5	231	42	—	—	—	—	—	—
2019	28	AAA MLE	Buffalo Bisons	—	474	428	97	14	3	16	41	103	2	6	6	227	297	386	683	159	255	22	9	294	85	—	—	—	—	—	—
2021	30	MLB MLE	Los Angeles Dodgers	—	15	11	3	1	0	0	3	1	1	0	0	273	467	364	830	91	300	7	20	407	161	+1	+0	-0	+1	+0	0.2
2021	30	AAA MLE	Oklahoma City Dodgers	—	216	189	35	10	1	4	24	63	1	10	2	185	280	312	593	127	245	29	11	265	65	—	—	—	—	—	—
2022	31	AAA MLE	Oklahoma City Dodgers	—	332	301	53	12	0	5	28	102	1	5	3	176	248	266	514	90	242	31	8	230	42	—	—	—	—	—	—
2011	20	ROK MLE	GCL Blue Jays	—	20	17	9	0	0	1	1	0	1	0	1	529	579	706	1.285	176	471	0	5	543	254	—	—	—	—	—	—
2011	20	ROK RAW	GCL Blue Jays	—	20	16	10	0	0	1	2	0	1	0	1	625	684	812	1.497	188	562	0	10	618	254	—	—	—	—	—	—
2012	21	A MLE	Lansing Lugnuts	—	325	291	54	19	3	7	25	108	7	15	2	186	266	344	610	158	264	33	8	266	66	—	—	—	—	—	—
2012	21	A RAW	Lansing Lugnuts	—	325	278	69	25	4	9	38	75	7	15	2	248	353	464	817	216	306	23	12	360	66	—	—	—	—	—	—
2013	22	AA MLE	3 teams	—	666	611	156	35	7	14	40	142	3	39	16	255	304	404	709	149	304	21	6	304	92	—	—	—	—	—	—
2013	22	AA RAW	3 teams	—	666	590	172	39	8	15	60	106	3	39	16	292	359	461	820	169	326	16	9	357	92	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	604	557	128	32	6	12	29	135	7	18	8	230	277	373	650	144	278	22	5	278	74	—	—	—	—	—	—
2014	23	AA RAW	2 teams	—	604	539	135	34	5	15	47	108	7	18	8	250	319	416	734	165	283	18	8	321	74	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	551	512	143	24	0	4	28	86	5	6	9	279	323	350	673	70	329	16	5	297	87	—	—	—	—	—	—
2015	24	AAA RAW	2 teams	—	551	499	145	26	0	5	41	72	5	6	9	291	350	373	723	82	331	13	7	325	87	—	—	—	—	—	—
2016	25	AAA MLE	Buffalo Bisons	—	454	429	85	22	1	6	22	105	0	13	5	198	237	296	533	98	247	23	5	231	42	—	—	—	—	—	—
2016	25	AAA RAW	Buffalo Bisons	—	454	418	96	25	1	8	33	82	0	13	5	230	286	352	638	122	267	18	7	285	42	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	618	556	125	18	4	20	53	134	4	9	7	225	297	379	676	155	258	22	9	294	85	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	618	533	151	24	3	23	75	104	4	9	7	283	375	469	844	186	311	17	12	372	85	—	—	—	—	—	—
2021	30	AAA MLE	2 teams	—	231	200	38	11	1	4	27	64	2	10	2	190	293	315	608	125	254	28	12	274	72	—	—	—	—	—	—
2021	30	AAA RAW	2 teams	—	231	188	44	13	1	6	39	53	2	10	2	234	371	410	781	176	290	23	17	351	72	—	—	—	—	—	—
2022	31	AAA MLE	Oklahoma City Dodgers	—	332	301	53	12	0	5	28	102	1	5	3	176	248	266	514	90	245	31	8	230	42	—	—	—	—	—	—
2022	31	AAA RAW	Oklahoma City Dodgers	—	332	283	63	14	0	7	46	86	1	5	3	223	333	346	680	124	292	26	14	311	42	—	—	—	—	—	—
2011	20	ROK MLE	GCL Blue Jays	—	20	18	9	0	0	1	1	0	1	0	1	500	579	667	1.246	167	451	0	5	543	254	—	—	—	—	—	—
2012	21	A MLE	Lansing Lugnuts	—	325	290	54	19	3	7	25	108	7	15	2	186	266	345	611	159	260	33	8	266	66	—	—	—	—	—	—
2013	22	AA MLE	3 teams	—	666	618	156	35	7	14	40	142	3	39	16	252	304	400	704	147	295	21	6	304	92	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	604	563	128	32	6	12	29	135	7	18	8	227	277	369	646	142	267	22	5	278	74	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	551	513	143	24	0	4	28	86	5	6	9	279	323	349	672	70	325	16	5	297	87	—	—	—	—	—	—
2016	25	AAA MLE	Buffalo Bisons	—	454	429	85	22	1	6	22	105	0	13	5	198	237	296	533	98	243	23	5	231	42	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	618	556	125	18	4	20	53	134	4	9	7	225	297	379	676	155	255	22	9	294	85	—	—	—	—	—	—
2021	30	AAA MLE	2 teams	—	231	200	38	11	1	4	27	64	2	10	2	190	293	315	608	125	249	28	12	274	72	—	—	—	—	—	—
2022	31	AAA MLE	Oklahoma City Dodgers	—	332	300	53	12	0	5	28	102	1	5	3	177	248	267	515	90	242	31	8	230	42	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	15	11	3	1	0	0	3	1	1	0	0	273	467	364	830	91	300	7	20	395	74	+1	+0	-0	+1	+0	0.2
/ 162G	—	A+C		—	650	477	130	43	0	0	130	43	43	0	0	273	466	363	829	90	300	7	20	395	74	+41	+0	-21	+36	+14	7.1
Career	—	MLE		—	3801	3474	791	173	22	73	253	876	30	115	53	228	286	353	639	126	280	23	7	278	74	+1	+0	-0	+1	+0	0.2
/ 162G	—	MLE		—	650	594	135	30	4	12	43	150	5	20	9	227	285	352	637	125	281	23	7	278	74	+41	+0	-21	+36	+14	7.1

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 AAAOklahoma City Dodgers · 332 PAwOBA .305 → .230 (−75)K% 25.9% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.90%	÷1.009	×1.200	—	—	30.81%
BB% (unintentional) /PA	13.55%	÷1.073	×0.690	—	×0.952	8.30%
HBP% /PA	0.30%	—	×0.940	—	×0.952	0.27%
Singles /BIP	21.32%	÷1.027	×0.930	×0.983	×0.952	18.06%
Doubles /BIP	7.11%	÷0.958	×0.830	×0.983	×0.952	5.76%
Triples /BIP	0.00%	÷0.955	×0.970	×0.983	×0.952	0.00%
Home runs /BIP	3.55%	÷0.997	×0.700	—	×0.952	2.38%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 105, 2B 92, 3B 91, K 102, BB 115 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .305 → .230; ISO .124 → .092; BABIP .292 → .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).

2021 AAAOklahoma City Dodgers · 216 PAwOBA .343 → .265 (−78)K% 24.1% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.07%	÷0.994	×1.200	—	—	29.05%
BB% (unintentional) /PA	16.67%	÷1.015	×0.690	—	×0.962	10.90%
HBP% /PA	0.46%	—	×0.940	—	×0.962	0.42%
Singles /BIP	17.60%	÷0.958	×0.930	×0.950	×0.962	15.61%
Doubles /BIP	9.60%	÷0.941	×0.830	×0.950	×0.962	7.74%
Triples /BIP	0.80%	÷0.900	×0.920	×0.950	×0.962	0.75%
Home runs /BIP	4.80%	÷1.016	×0.700	—	×0.962	3.18%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — 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 ×0.950.

Result: wOBA .343 → .265; ISO .181 → .137; BABIP .289 → .245. 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 AAABuffalo Bisons · 474 PAwOBA .361 → .294 (−66)K% 17.5% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.51%	÷0.968	×1.200	—	—	21.70%
BB% (unintentional) /PA	12.03%	÷0.953	×0.690	—	×0.982	8.55%
HBP% /PA	0.42%	—	×0.940	—	×0.982	0.39%
Singles /BIP	22.56%	÷1.011	×0.930	×0.950	×0.982	19.35%
Doubles /BIP	5.18%	÷0.954	×0.830	×0.950	×0.982	4.21%
Triples /BIP	0.91%	÷0.909	×0.970	×0.950	×0.982	0.91%
Home runs /BIP	5.79%	÷1.000	×0.840	—	×0.982	4.78%

Factors used: league row IL. Park (home-season share, regressed): HR 100, 1B 102, 2B 91, 3B 82, K 94, BB 91 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .361 → .294; ISO .195 → .163; 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).

2016 AAABuffalo Bisons · 454 PAwOBA .279 → .231 (−48)K% 18.1% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.06%	÷0.937	×1.200	—	—	23.12%
BB% (unintentional) /PA	7.27%	÷1.034	×0.690	—	×1.018	4.94%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	18.45%	÷1.008	×0.930	×0.982	×1.018	17.02%
Doubles /BIP	7.44%	÷0.917	×0.830	×0.982	×1.018	6.73%
Triples /BIP	0.30%	÷1.150	×0.970	×0.982	×1.018	0.25%
Home runs /BIP	2.38%	÷1.164	×0.840	—	×1.018	1.75%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 83, 3B 130, K 87, BB 107 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .279 → .231; ISO .122 → .097; BABIP .267 → .243. 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 AAABuffalo Bisons · 527 PAwOBA .318 → .299 (−19)K% 13.1% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.09%	÷1.008	×1.200	—	—	15.59%
BB% (unintentional) /PA	7.21%	÷1.040	×0.690	—	×1.033	4.94%
HBP% /PA	0.95%	—	×0.940	—	×1.033	0.92%
Singles /BIP	26.89%	÷0.981	×0.930	×1.022	×1.033	26.92%
Doubles /BIP	6.36%	÷0.944	×0.830	×1.022	×1.033	5.91%
Triples /BIP	0.00%	÷0.900	×0.970	×1.022	×1.033	0.00%
Home runs /BIP	0.98%	÷0.966	×0.840	—	×1.033	0.88%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — 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 ×1.022.

Result: wOBA .318 → .299; ISO .079 → .074; BABIP .335 → .330. 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 AANew Hampshire Fisher Cats · 24 PAwOBA .316 → .260 (−56)K% 12.5% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷0.960	×1.220	—	—	15.89%
BB% (unintentional) /PA	12.50%	÷1.026	×0.700	—	×0.998	8.51%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	22.22%	÷0.996	×0.970	—	×0.998	21.59%
Doubles /BIP	0.00%	÷1.064	×0.860	—	×0.998	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.998	0.00%
Home runs /BIP	5.56%	÷1.130	×0.780	—	×0.998	3.83%

Factors used: league row EL. Park (home-season share, regressed): HR 126, 1B 99, 2B 113, 3B 130, K 92, BB 105 — 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).

Result: wOBA .316 → .260; ISO .143 → .099; BABIP .235 → .224. 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 AANew Hampshire Fisher Cats · 553 PAwOBA .321 → .278 (−43)K% 17.9% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.90%	÷0.976	×1.220	—	—	22.37%
BB% (unintentional) /PA	7.23%	÷1.062	×0.700	—	×1.012	4.82%
HBP% /PA	1.08%	—	×0.850	—	×1.012	0.93%
Singles /BIP	18.69%	÷1.012	×0.970	×0.987	×1.012	17.89%
Doubles /BIP	8.08%	÷0.952	×0.860	×0.987	×1.012	7.29%
Triples /BIP	1.26%	÷0.921	×0.950	×0.987	×1.012	1.30%
Home runs /BIP	3.79%	÷1.066	×0.780	—	×1.012	2.80%

Factors used: league row EL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 84, K 95, BB 112 — 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 ×0.987.

Result: wOBA .321 → .278; ISO .176 → .147; BABIP .285 → .267. 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 AANew Hampshire Fisher Cats · 291 PAwOBA .316 → .274 (−42)K% 18.9% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.90%	÷0.969	×1.220	—	—	23.80%
BB% (unintentional) /PA	7.90%	÷1.007	×0.700	—	×1.027	5.64%
HBP% /PA	0.00%	—	×0.850	—	×1.027	0.00%
Singles /BIP	18.57%	÷0.986	×0.970	×1.002	×1.027	18.79%
Doubles /BIP	9.05%	÷1.042	×0.860	×1.002	×1.027	7.68%
Triples /BIP	0.95%	÷1.068	×0.950	×1.002	×1.027	0.87%
Home runs /BIP	3.33%	÷0.975	×0.780	—	×1.027	2.74%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 97, 2B 108, 3B 114, K 94, BB 101 — 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 ×1.002.

Result: wOBA .316 → .274; ISO .166 → .137; BABIP .291 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .