Brett Lawrie

Pos3B

B/TR/R

Born1990-01-18

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2014	24	MLBTOR	282	.247/.304/.421	12	0	102	1.2
2015	25	MLBOakland Athle…	602	.260/.301/.407	16	5	99	0.6
2016	26	MLBCWS	384	.248/.311/.413	12	7	100	0.6
2017	27	No MLB games played
2018	28	No MLB games played
2019	29	No MLB games played
2020	30	No MLB games played
2021	31	No MLB games played
2022	32	No MLB games played
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 2.4

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

Speed87

Avg EV56

xwOBA42

Barrel%29

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)
2009	19	AA	Huntsville Stars	—	53	52	14	0	1	0	0	14	1	0	2	269	283	308	591	38	368	26	0	266	41	—	—	—	—	—	—
2009	19	A	Wisconsin Timber Rattlers	—	423	372	102	18	5	13	41	70	4	19	11	274	353	454	807	180	302	17	10	353	87	—	—	—	—	—	—
2010	20	AA	Huntsville Stars	—	609	554	158	36	16	8	47	118	5	30	13	285	347	451	798	166	350	19	8	351	99	—	—	—	—	—	—
2011	21	MLB	Toronto Blue Jays	—	171	150	44	8	4	9	16	31	3	7	1	293	373	580	953	287	318	18	9	407	158	+12	+1	+5	+2	+4	2.4
2011	21	AAA	Las Vegas 51s	—	329	292	103	24	6	18	26	53	6	13	2	353	417	661	1.078	308	383	16	8	457	126	—	—	—	—	—	—
2012	22	MLB	Toronto Blue Jays	—	536	494	135	26	3	11	33	86	5	13	8	273	325	405	730	132	311	16	6	324	105	+3	-1	+2	+2	+12	1.9
2013	23	MLB	Toronto Blue Jays	—	442	401	102	18	3	11	30	68	7	9	5	254	317	397	714	142	280	15	7	317	99	-0	-0	+2	+2	+10	1.3
2014	24	MLB	Toronto Blue Jays	—	282	259	64	9	0	12	16	49	5	0	0	247	304	421	724	174	260	17	6	320	102	+1	+0	+4	+1	+6	1.2
2015	25	MLB	Oakland Athletics	—	602	562	146	29	3	16	28	144	5	5	2	260	301	407	708	148	320	24	5	311	99	-1	+0	-9	+2	+13	0.6
2016	26	MLB	Chicago White Sox	—	384	351	87	22	0	12	30	109	2	7	3	248	311	413	724	165	325	28	8	322	100	+0	+0	-4	+1	+8	0.6
2016	26	AA	Birmingham Barons	—	17	16	5	1	0	0	0	3	1	0	0	312	353	375	728	62	385	18	0	332	80	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2417	2217	578	112	13	71	153	487	27	41	19	261	316	419	735	158	303	20	6	325	106	+17	+1	+1	+10	+52	8.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	19	AA MLE	Huntsville Stars	—	53	52	13	0	1	0	0	17	1	0	2	250	264	288	553	38	355	32	0	229	41	—	—	—	—	—	—
2009	19	A MLE	Wisconsin Timber Rattlers	—	423	384	92	15	5	11	29	95	4	19	11	240	300	391	690	151	278	22	7	297	87	—	—	—	—	—	—
2010	20	AA MLE	Huntsville Stars	—	609	569	151	37	16	6	32	140	5	30	13	265	310	418	729	153	341	23	5	315	99	—	—	—	—	—	—
2011	21	MLB MLE	Toronto Blue Jays	—	171	151	44	8	4	9	15	31	3	7	1	291	367	576	943	285	318	18	9	401	158	+12	+1	+5	+2	+4	2.4
2011	21	AAA MLE	Las Vegas 51s	—	329	299	85	18	4	12	19	69	6	13	2	284	340	492	831	207	329	21	6	355	126	—	—	—	—	—	—
2012	22	MLB MLE	Toronto Blue Jays	—	536	494	135	26	3	11	33	86	5	13	8	273	325	405	730	132	311	16	6	323	105	+3	-1	+2	+2	+12	1.9
2013	23	MLB MLE	Toronto Blue Jays	—	442	402	102	18	3	11	29	68	7	9	5	254	315	396	711	142	280	15	7	315	99	-0	-0	+2	+2	+10	1.3
2014	24	MLB MLE	Toronto Blue Jays	—	282	259	64	9	0	12	16	49	5	0	0	247	304	421	724	174	260	17	6	320	102	+1	+0	+4	+1	+6	1.2
2015	25	MLB MLE	Oakland Athletics	—	602	563	147	28	3	18	27	144	5	5	2	261	301	417	718	156	320	24	4	314	99	-1	+0	-9	+2	+13	0.6
2016	26	MLB MLE	Chicago White Sox	—	384	353	87	22	0	12	28	109	2	7	3	246	305	411	716	164	325	28	7	316	100	+0	+0	-4	+1	+8	0.6
2016	26	AA MLE	Birmingham Barons	—	17	16	4	1	0	0	0	4	1	0	0	250	294	312	607	62	356	24	0	286	80	—	—	—	—	—	—
2009	19	A MLE	2 teams	—	476	436	104	15	5	11	29	112	5	19	13	239	294	372	665	133	292	24	6	289	82	—	—	—	—	—	—
2009	19	A RAW	2 teams	—	476	424	116	18	6	13	41	84	5	19	13	274	345	436	781	163	309	18	9	344	82	—	—	—	—	—	—
2010	20	AA MLE	Huntsville Stars	—	609	569	151	37	16	6	32	140	5	30	13	265	310	418	729	153	342	23	5	315	99	—	—	—	—	—	—
2010	20	AA RAW	Huntsville Stars	—	609	554	158	36	16	8	47	118	5	30	13	285	347	451	798	166	350	19	8	351	99	—	—	—	—	—	—
2011	21	AAA MLE	2 teams	—	500	450	129	26	8	21	34	100	9	20	3	287	349	520	869	233	327	20	7	371	137	—	—	—	—	—	—
2011	21	AAA RAW	2 teams	—	500	442	147	32	10	27	42	84	9	20	3	333	402	633	1.035	301	361	17	8	440	137	—	—	—	—	—	—
2012	22	MLB MLE	Toronto Blue Jays	—	536	494	135	26	3	11	33	86	5	13	8	273	325	405	730	132	311	16	6	323	105	+3	-1	+2	+2	+12	1.9
2012	22	MLB RAW	Toronto Blue Jays	—	536	494	135	26	3	11	33	86	5	13	8	273	325	405	730	132	311	16	6	324	105	+3	-1	+2	+2	+12	1.9
2013	23	MLB MLE	Toronto Blue Jays	—	442	402	102	18	3	11	29	68	7	9	5	254	315	396	711	142	279	15	7	315	99	-0	-0	+2	+2	+10	1.3
2013	23	MLB RAW	Toronto Blue Jays	—	442	401	102	18	3	11	30	68	7	9	5	254	317	397	714	142	280	15	7	317	99	-0	-0	+2	+2	+10	1.3
2014	24	MLB MLE	Toronto Blue Jays	—	282	259	64	9	0	12	16	49	5	0	0	247	304	421	724	174	260	17	6	320	102	+1	+0	+4	+1	+6	1.2
2014	24	MLB RAW	Toronto Blue Jays	—	282	259	64	9	0	12	16	49	5	0	0	247	304	421	724	174	260	17	6	320	102	+1	+0	+4	+1	+6	1.2
2015	25	MLB MLE	Oakland Athletics	—	602	563	147	28	3	18	27	144	5	5	2	261	301	417	718	156	319	24	4	314	99	-1	+0	-9	+2	+13	0.6
2015	25	MLB RAW	Oakland Athletics	—	602	562	146	29	3	16	28	144	5	5	2	260	301	407	708	148	320	24	5	311	99	-1	+0	-9	+2	+13	0.6
2016	26	MLB MLE	2 teams	—	401	369	91	23	0	12	28	113	3	7	3	247	305	407	712	160	322	28	7	315	99	-0	+0	-4	+1	+9	0.6
2016	26	MLB RAW	2 teams	—	401	367	92	23	0	12	30	112	3	7	3	251	312	411	724	161	328	28	7	322	99	-0	+0	-4	+1	+9	0.6
2009	19	A MLE	2 teams	—	476	439	104	15	5	11	29	112	5	19	13	237	294	369	663	132	287	24	6	289	82	—	—	—	—	—	—
2010	20	AA MLE	Huntsville Stars	—	609	567	151	37	16	6	32	140	5	30	13	266	310	420	730	153	341	23	5	315	99	—	—	—	—	—	—
2011	21	AAA MLE	2 teams	—	500	453	129	26	8	21	34	100	9	20	3	285	349	517	865	232	325	20	7	371	137	—	—	—	—	—	—
2012	22	MLB MLE	Toronto Blue Jays	—	536	493	135	26	3	11	33	86	5	13	8	274	325	406	731	132	311	16	6	323	105	—	—	—	—	—	—
2013	23	MLB MLE	Toronto Blue Jays	—	442	403	102	18	3	11	29	68	7	9	5	253	315	395	710	141	280	15	7	315	99	—	—	—	—	—	—
2014	24	MLB MLE	Toronto Blue Jays	—	282	259	64	9	0	12	16	49	5	0	0	247	304	421	724	174	260	17	6	320	102	—	—	—	—	—	—
2015	25	MLB MLE	Oakland Athletics	—	602	565	147	28	3	18	27	144	5	5	2	260	301	416	717	156	320	24	4	314	99	—	—	—	—	—	—
2016	26	MLB MLE	2 teams	—	401	367	91	23	0	12	28	113	3	7	3	248	305	409	714	161	326	28	7	315	99	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2417	2217	578	112	13	71	153	487	27	41	19	261	316	419	735	158	303	20	6	325	103	+17	+1	+1	+10	+52	8.2
/ 162G	—	A+C		—	650	596	155	30	3	19	41	131	7	11	5	260	315	416	731	156	303	20	6	325	103	+5	+0	+0	+3	+14	2.2
Career	—	MLE		—	3848	3542	923	182	38	102	228	812	44	103	47	261	313	420	733	159	310	21	6	320	103	+17	+1	+1	+10	+52	8.2
/ 162G	—	MLE		—	650	598	156	31	6	17	39	137	7	17	8	261	313	418	731	157	311	21	6	320	103	+5	+0	+0	+3	+14	2.2

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.

2016 AABirmingham Barons · 17 PAwOBA .323 → .286 (−37)K% 17.6% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.991	×1.220	—	—	21.72%
BB% (unintentional) /PA	0.00%	÷0.990	×0.680	—	×0.988	0.00%
HBP% /PA	5.88%	—	×0.840	—	×0.988	4.88%
Singles /BIP	30.77%	÷1.004	×0.920	—	×0.988	27.85%
Doubles /BIP	7.69%	÷0.897	×0.910	—	×0.988	7.71%
Triples /BIP	0.00%	÷1.150	×0.880	—	×0.988	0.00%
Home runs /BIP	0.00%	÷0.918	×0.800	—	×0.988	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 84, 1B 101, 2B 79, 3B 130, K 98, BB 98 — 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).

Result: wOBA .323 → .286; ISO .062 → .060; BABIP .385 → .356. 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).

2011 AAALas Vegas 51s · 329 PAwOBA .445 → .355 (−91)K% 16.1% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.11%	÷0.992	×1.290	—	—	20.94%
BB% (unintentional) /PA	7.90%	÷0.998	×0.710	—	×1.050	5.90%
HBP% /PA	1.82%	—	×0.980	—	×1.050	1.88%
Singles /BIP	23.01%	÷0.974	×0.900	×0.976	×1.050	21.78%
Doubles /BIP	10.04%	÷1.082	×0.810	×0.976	×1.050	7.71%
Triples /BIP	2.51%	÷1.123	×0.810	×0.976	×1.050	1.85%
Home runs /BIP	7.53%	÷1.200	×0.780	—	×1.050	5.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 95, 2B 116, 3B 125, K 98, BB 100 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .445 → .355; ISO .308 → .216; BABIP .383 → .329. 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).

2010 AAHuntsville Stars · 609 PAwOBA .341 → .315 (−26)K% 19.4% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.38%	÷1.029	×1.220	—	—	22.98%
BB% (unintentional) /PA	7.22%	÷0.997	×0.680	—	×1.050	5.17%
HBP% /PA	0.82%	—	×0.840	—	×1.050	0.72%
Singles /BIP	22.48%	÷1.030	×0.920	×1.007	×1.050	21.23%
Doubles /BIP	8.26%	÷0.918	×0.910	×1.007	×1.050	8.65%
Triples /BIP	3.67%	÷0.900	×0.880	×1.007	×1.050	3.79%
Home runs /BIP	1.83%	÷1.108	×0.800	—	×1.050	1.39%

Factors used: league row SL. Park (home-season share, regressed): HR 122, 1B 106, 2B 84, 3B 80, K 106, BB 99 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .341 → .315; ISO .166 → .160; BABIP .350 → .341. 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).

2009 AWisconsin Timber Rattlers · 423 PAwOBA .348 → .297 (−51)K% 16.5% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.55%	÷1.000	×1.360	—	—	22.51%
BB% (unintentional) /PA	9.46%	÷1.000	×0.690	—	×1.045	6.82%
HBP% /PA	0.95%	—	×0.780	—	×1.045	0.77%
Singles /BIP	21.85%	÷1.000	×0.920	×0.986	×1.045	20.72%
Doubles /BIP	5.96%	÷1.000	×0.830	×0.986	×1.045	5.10%
Triples /BIP	1.66%	÷1.000	×0.910	×0.986	×1.045	1.55%
Home runs /BIP	4.30%	÷1.000	×0.800	—	×1.045	3.60%

Factors used: level-wide A 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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .348 → .297; ISO .180 → .151; BABIP .302 → .278. 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).

2009 AAHuntsville Stars · 53 PAwOBA .259 → .229 (−30)K% 26.4% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.42%	÷1.000	×1.220	—	—	32.23%
BB% (unintentional) /PA	0.00%	÷1.000	×0.680	—	×1.050	0.00%
HBP% /PA	1.89%	—	×0.840	—	×1.050	1.66%
Singles /BIP	34.21%	÷1.000	×0.920	—	×1.050	33.05%
Doubles /BIP	0.00%	÷1.000	×0.910	—	×1.050	0.00%
Triples /BIP	2.63%	÷1.000	×0.880	—	×1.050	2.43%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.050	0.00%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (5.8 yr younger than average).

Result: wOBA .259 → .229; ISO .038 → .033; BABIP .368 → .355. 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).