Justin Turner — OGILVIE

Justin Turner1B Chicago Cubs

Age 41 R/R 5'11" / 208 lbs MLB BB +5%HR -4% Svc 17.000 · Ctrl thru 2026 peak 1.2 · 2026

wRC+†vL 112116vR 92

AVG/OBP/SLG.258 / .342 / .404

PA254

HR7

K%18

BB%10

xwOBA.297

Barrel%3.7%

MLB%100%

Scouting · now → future

HIT

55→55

PWR

40→40

SPD

41→41

FLD

55→55

EYE

57↘55

Barrel%

153.7

xwOBA

400.297

Avg EV

3988.3

Whiff%

840.075

Chase%

510.315

Speed

1025.3

Bat Spd

1066.3

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2009

Service 17.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+1.2	$10M	+$8M
Totals		$2M		$10M	+$8M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2006	21	ROK	Billings Mustangs	263	241	62	12	2	4	13	55	7	12	2	.257	.314	.373	.688	.116	.315	21	5	.301	89	-3	+2	+0	+1	+7	0.7
2007	22	A	2 teams	537	497	131	20	3	8	29	94	9	12	8	.264	.316	.364	.680	.101	.310	18	5	.298	86	-8	-1	+0	+2	+15	0.8
2008	23	AA	2 teams	474	430	112	20	2	8	31	97	4	5	2	.260	.316	.372	.688	.112	.314	20	7	.298	86	-8	+0	+0	+2	+13	0.8
2009	24	AAA	2 teams	463	416	115	25	0	2	27	48	8	9	4	.276	.333	.351	.684	.075	.302	10	6	.298	87	-7	+0	+0	+2	+13	0.8
2010	25	AAA	3 teams	551	505	137	29	1	12	29	78	8	7	4	.271	.321	.404	.725	.133	.299	14	5	.311	96	-2	-0	-1	+2	+16	1.4
2011	26	MLB	2 teams	531	476	123	31	2	4	40	66	12	7	2	.258	.331	.357	.689	.099	.292	12	8	.306	92	-5	+1	-9	+2	+15	0.4
2012	27	MLB	2 teams	272	252	67	20	1	3	13	35	5	1	1	.266	.315	.389	.704	.123	.296	13	5	.316	100	-0	-0	-0	+1	+8	0.9
2013	28	MLB	2 teams	231	215	63	16	1	2	12	36	2	0	1	.293	.336	.405	.741	.112	.343	16	5	.324	106	+2	-0	+1	+1	+7	1.0
2014	29	MLB	Los Angeles Dodgers	322	288	101	21	1	6	28	58	4	6	1	.351	.416	.493	.909	.142	.420	18	9	.402	166	+24	+1	-1	+1	+9	3.5
2015	30	MLB	Los Angeles Dodgers	439	385	114	25	1	15	36	71	13	5	2	.296	.376	.483	.859	.187	.327	16	8	.377	147	+23	+0	+3	+2	+12	4.1
2016	31	MLB	Los Angeles Dodgers	622	556	157	35	4	28	48	107	10	4	1	.282	.350	.511	.861	.228	.301	17	8	.370	142	+29	+0	+6	+2	+18	5.7
2017	32	MLB	Los Angeles Dodgers	543	457	151	31	0	22	59	56	19	7	1	.330	.428	.543	.971	.212	.334	10	11	.412	174	+45	+1	+3	+2	+15	6.8
2018	33	MLB	Los Angeles Dodgers	426	365	113	30	1	13	47	54	12	2	1	.310	.406	.504	.910	.195	.333	13	11	.390	157	+27	+0	-0	+2	+12	4.1
2019	34	MLB	Los Angeles Dodgers	549	479	139	24	0	25	51	88	14	2	0	.290	.375	.497	.872	.207	.307	16	9	.379	148	+30	+0	+4	+2	+16	5.3
2020	35	MLB	Los Angeles Dodgers	175	150	45	8	1	4	18	26	6	1	0	.300	.397	.447	.843	.147	.339	15	10	.376	146	+9	+0	+1	+1	+5	1.6
2021	36	MLB	Los Angeles Dodgers	612	533	147	22	0	22	61	98	12	3	0	.276	.363	.441	.804	.165	.298	16	10	.353	128	+20	+1	+2	+2	+17	4.2
2022	37	MLB	Los Angeles Dodgers	532	468	129	36	0	13	50	89	6	3	0	.276	.353	.436	.789	.160	.310	17	9	.344	121	+13	+1	-1	+2	+15	3.0
2023	38	MLB	Boston Red Sox	626	558	152	28	0	25	51	110	11	4	1	.272	.345	.457	.802	.185	.296	18	8	.350	126	+19	+0	-5	-11	+18	2.1
2024	39	MLB	Seattle Mariners	539	460	120	24	0	11	59	95	13	0	2	.261	.361	.385	.746	.124	.302	18	11	.328	109	+6	-1	-2	-10	+15	0.9
2025	40	MLB	Chicago Cubs	191	169	37	7	0	3	17	37	1	2	0	.219	.294	.314	.608	.095	.256	19	9	.270	65	-8	+0	+0	-3	+5	-0.5
▸ 2026 Season
2026	41	MLB	CHC	254	224	58	12	0	7	24	46	4	2	1	.259	.341	.406	.748	.147	.296	18	9	.337	116	+5	+0	-1	+1	+7	1.2
▸ Career Totals (MLE all levels + projections)
Career	—			9152	8124	2273	476	20	237	743	1444	180	94	34	.280	.353	.431	.784	.151	.312	16	8	.343	120	+210	+5	-0	+4	+259	48.7
/ 162G	—			650	577	161	34	1	17	53	103	13	7	2	.279	.353	.430	.783	.151	.311	16	8	.343	120	+15	+1	-0	+0	+18	3.5

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2006	21	ROK	Billings Mustangs	263	231	78	16	3	6	23	38	7	12	2	.338	.414	.511	.925	.173	.381	14	9	.407	170	+21	+2	—	—	+7	3.0
2007	22	A+	Sarasota Reds	21	20	4	0	0	0	1	2	0	0	0	.200	.238	.200	.438	.000	.222	10	5	.206	16	-2	+0	—	—	+1	-0.1
2007	22	A	Dayton Dragons	516	466	145	25	4	10	39	72	9	12	8	.311	.375	.446	.822	.135	.350	14	8	.367	139	+23	-1	—	—	+15	3.7
2008	23	AA	Chattanooga Lookouts	323	280	81	14	1	8	33	54	1	2	1	.289	.366	.432	.798	.143	.326	17	10	.348	125	+9	+0	—	—	+9	1.9
2008	23	A+	Sarasota Reds	151	136	43	8	1	0	12	19	3	3	1	.316	.384	.390	.774	.074	.368	13	8	.353	128	+5	+0	—	—	+4	0.9
2009	24	MLB	Baltimore Orioles	22	18	3	0	0	0	4	3	0	0	0	.167	.318	.167	.485	.000	.200	14	18	.250	50	-1	+0	+0	+2	+1	0.1
2009	24	AAA	Norfolk Tides	441	387	116	28	0	2	34	37	8	9	4	.300	.368	.388	.756	.088	.320	8	8	.335	114	+7	+0	—	—	+12	2.0
2010	25	MLB	New York Mets	18	17	1	1	0	0	1	3	0	0	0	.059	.111	.118	.229	.059	.071	17	6	.110	-57	-3	+0	-1	+2	+1	-0.2
2010	25	AAA	Buffalo Bisons	443	396	125	30	1	12	33	51	6	7	3	.316	.377	.487	.864	.172	.336	12	7	.376	146	+23	+0	—	—	+13	3.7
2010	25	INTL	Leones del Escogido	90	80	25	7	0	1	7	7	2	0	1	.312	.382	.438	.820	.125	.333	8	8	.365	137	+4	-0	—	—	+3	0.6
2011	26	MLB	New York Mets	487	435	113	30	0	4	39	59	10	7	2	.260	.335	.356	.691	.097	.292	12	8	.314	98	-1	+1	-9	+2	+14	0.6
2011	26	AAA	Buffalo Bisons	44	40	12	3	2	0	2	6	2	0	0	.300	.364	.475	.839	.175	.353	14	5	.370	141	+2	+0	—	—	+1	0.3
2012	27	MLB	New York Mets	185	171	46	13	1	2	9	24	4	1	1	.269	.321	.392	.712	.123	.301	13	5	.318	102	+0	-0	-0	+1	+5	0.6
2012	27	INTL	Leones del Escogido	87	80	15	5	0	1	5	15	1	0	0	.188	.244	.287	.532	.100	.215	17	6	.240	42	-6	+0	—	—	+2	-0.3
2013	28	MLB	New York Mets	214	200	56	13	1	2	11	34	1	0	1	.280	.321	.385	.706	.105	.327	16	5	.313	98	-0	-0	+1	+1	+6	0.7
2013	28	AA	Binghamton Mets	17	15	6	2	0	0	1	2	1	0	0	.400	.471	.533	1.004	.133	.462	12	6	.448	201	+2	+0	—	—	+0	0.2
2014	29	MLB	Los Angeles Dodgers	322	288	98	21	1	7	28	58	4	6	1	.340	.406	.493	.899	.153	.404	18	9	.398	163	+23	+1	-1	+1	+9	3.4
2015	30	MLB	Los Angeles Dodgers	439	385	113	26	1	16	36	71	13	5	2	.294	.373	.491	.864	.197	.321	16	8	.379	148	+24	+0	+3	+2	+12	4.2
2016	31	MLB	Los Angeles Dodgers	622	556	153	34	3	27	48	107	10	4	1	.275	.344	.493	.836	.218	.293	17	8	.363	136	+26	+0	+6	+2	+18	5.3
2017	32	MLB	Los Angeles Dodgers	543	457	147	32	0	21	59	56	19	7	1	.322	.421	.530	.950	.208	.326	10	11	.414	175	+46	+1	+3	+2	+15	6.9
2018	33	MLB	Los Angeles Dodgers	426	365	114	31	1	14	47	54	12	2	1	.312	.408	.518	.926	.205	.334	13	11	.408	170	+34	+0	-0	+2	+12	4.8
2019	34	MLB	Los Angeles Dodgers	549	479	139	24	0	27	51	88	14	2	0	.290	.375	.509	.884	.219	.304	16	9	.387	154	+34	+0	+4	+2	+16	5.7
2020	35	MLB	Los Angeles Dodgers	175	150	46	9	1	4	18	26	6	1	0	.307	.402	.460	.862	.153	.347	15	10	.385	153	+10	+0	+1	+1	+5	1.7
2021	36	MLB	Los Angeles Dodgers	612	533	148	22	0	27	61	98	12	3	0	.278	.365	.471	.836	.193	.292	16	10	.368	140	+28	+1	+2	+2	+17	5.0
2022	37	MLB	Los Angeles Dodgers	532	468	130	36	0	13	50	89	6	3	0	.278	.355	.438	.793	.160	.313	17	9	.349	126	+15	+1	-1	+2	+15	3.3
2023	38	MLB	Boston Red Sox	626	558	154	31	0	23	51	110	11	4	1	.276	.348	.455	.804	.179	.304	18	8	.354	129	+21	+0	-5	-11	+18	2.3
2024	39	MLB	Seattle Mariners	539	460	119	24	0	11	59	95	13	0	2	.259	.359	.383	.742	.124	.299	18	11	.335	114	+9	-1	-2	-10	+15	1.2
2025	40	MLB	Chicago Cubs	191	169	37	7	0	3	17	37	1	2	0	.219	.294	.314	.608	.095	.256	19	9	.274	68	-7	+0	+0	-3	+5	-0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			6502	5709	1617	354	9	201	589	1012	136	47	13	.283	.364	.454	.818	.171	.311	16	9	.362	135	+256	+4	+0	-2	+184	45.2

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Justin Turner (OGILVIE)	41	55	40	41	55	.258/.342/.404	.147	.296	7	2	18%	10%	116	+1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeff Conine 2007 · MLB	41	57→63	45→55	44→50	54	.275/.338/.405	.130	.304	11	5	14%	8%	112	+2.6	.255/.320/.387	.132	.280	13	8	13%	9%	101	+1.8	.245/.315/.369	.124	.265	12	8	12%	9%	89	+0.5
✕Ray Martinez 2009 · AAA	40	51→56	46→50	45	48	.253/.308/.379	.126	.287	15	8	18%	7%	94	+1.3	.274/.320/.401	.127	.324	14	8	19%	6%	104	+2.0	.325/.368/.443	.118	.393	11	6	19%	6%	134	+1.9
✕Cornelio Garcia 2006 · AAA	41	58→64	48→45	43→45	51	.284/.340/.437	.154	.328	14	6	18%	8%	121	+3.2	.269/.334/.369	.100	.324	8	8	18%	9%	102	+1.8	.269/.340/.332	.063	.328	4	8	17%	9%	91	+0.5
✕Roberto Vizcarra 2007 · AAA	40	58→63	47→45	41→40	50	.287/.339/.422	.134	.289	15	6	8%	5%	118	+3.0	.259/.305/.382	.123	.265	15	6	9%	5%	93	+1.3	.272/.315/.386	.113	.274	16	1	8%	5%	92	+0.8
✕Rafael Castaneda 2008 · AAA	40	55→64	44→50	41→40	50	.267/.313/.385	.119	.281	12	4	11%	6%	97	+1.5	.245/.305/.368	.123	.268	12	8	13%	7%	89	+1.0	.251/.334/.356	.105	.273	7	7	10%	10%	95	+0.3
✕Ramon Orantes 2014 · AAA	40	60→63	43→45	37→40	43	.290/.325/.395	.105	.328	11	4	15%	4%	105	+2.1	.259/.295/.349	.090	.305	8	5	17%	4%	79	+0.3	.268/.302/.340	.072	.315	6	2	17%	4%	78	+0.1
●Raul Ibanez 2013 · MLB	41	49→59	53→60	49→45	51	.249/.311/.427	.178	.272	20	4	17%	8%	108	+2.3	.232/.301/.430	.198	.262	25	4	22%	9%	105	+2.1	.218/.294/.419	.201	.247	27	2	24%	10%	97	+1.0
✕Roberto Mendez 2013 · AAA	40	51→59	47→50	44→45	52	.252/.323/.386	.134	.304	14	4	22%	9%	102	+1.9	.249/.321/.361	.112	.307	9	6	20%	10%	95	+1.4	.261/.336/.344	.084	.321	5	5	19%	10%	95	+0.5
✕Sharnol Adriana 2012 · AAA	41	52→62	46→55	35→60	53	.256/.330/.385	.129	.291	14	6	17%	9%	105	+2.1	.251/.317/.375	.124	.296	14	8	19%	8%	97	+1.5	.262/.325/.383	.120	.310	15	6	20%	8%	98	+0.7
✕Raul Sanchez 2013 · AAA	40	54→55	42→45	44→50	45	.260/.307/.367	.108	.306	9	6	18%	5%	90	+1.0	.239/.301/.343	.104	.293	9	7	20%	6%	82	+0.5	.248/.328/.320	.072	.304	5	3	18%	8%	85	+0.2
✕Yuli Gurriel 2023 · MLB	39	54→64	45→60	48→50	52	.264/.320/.395	.131	.283	12	5	12%	7%	103	+1.9	.242/.304/.366	.124	.272	12	10	15%	8%	89	+1.0	.235/.303/.356	.122	.267	12	12	16%	9%	81	+0.2
●Pedro Castellano 2010 · AAA	40	57→65	48→55	44→45	47	.283/.329/.422	.138	.318	16	4	16%	6%	113	+2.6	.275/.321/.403	.128	.324	15	6	19%	6%	105	+2.1	.279/.326/.405	.125	.330	15	4	20%	5%	108	+1.1
✕Jayson Werth 2018 · MLB	39	46→56	52→60	44→55	55	.235/.323/.400	.165	.278	20	6	23%	11%	106	+2.2	.224/.301/.385	.161	.279	18	7	25%	9%	93	+1.3	.167/.233/.315	.148	.212	14	0	28%	7%	45	-0.5
✕Hector Alvarez 2006 · AAA	40	59	42→40	42→45	42	.283/.323/.389	.106	.336	9	6	19%	4%	102	+1.9	.263/.299/.360	.097	.303	8	8	16%	4%	85	+0.7	.268/.301/.350	.081	.302	6	8	13%	3%	77	+0.1
✕Wally Joyner 2001 · MLB	39	54	46→45	47→40	60	.263/.346/.397	.134	.286	14	5	13%	11%	115	+2.7	.251/.322/.382	.131	.273	14	7	13%	9%	101	+1.8	.243/.304/.351	.108	.260	11	4	11%	8%	83	+0.2
✕Jose Amador 2019 · AAA	39	49→59	48→55	44→45	53	.244/.322/.382	.139	.271	16	5	17%	9%	102	+1.8	.230/.284/.353	.123	.294	14	8	26%	5%	77	+0.1	.220/.269/.319	.099	.285	13	3	27%	4%	61	-0.3
✕Matt Stairs 2009 · MLB	41	51→55	56→65	43→45	55	.262/.344/.456	.194	.298	23	3	21%	10%	129	+3.7	.241/.336/.423	.182	.292	22	6	24%	12%	118	+3.0	.214/.335/.431	.217	.247	28	5	26%	14%	105	+0.4
✕Robert Perez 2009 · AAA	40	52→56	52→55	47→50	46	.267/.304/.425	.158	.278	21	9	14%	5%	105	+2.1	.261/.295/.402	.141	.287	16	12	15%	4%	95	+1.4	.275/.302/.405	.130	.307	14	12	15%	3%	95	+1.0
✕Abel Martinez 2017 · AAA	40	54→63	41→45	45→50	48	.262/.309/.361	.099	.285	9	10	12%	5%	89	+0.9	.252/.298/.352	.100	.292	10	7	17%	5%	82	+0.5	.271/.315/.336	.066	.325	6	0	18%	5%	82	+0.2
✕B.J. Surhoff 2004 · MLB	39	57→59	44→50	42→45	56	.274/.332/.395	.121	.287	10	8	9%	8%	108	+2.3	.277/.328/.391	.114	.299	12	4	11%	7%	105	+2.1	.280/.325/.384	.104	.303	11	2	11%	6%	97	+0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)