Joc Pederson — OGILVIE

Joc Pederson1B Texas Rangers

Age 34 L/L 6'1" / 220 lbs MLB K +3% Svc 12.000 · Ctrl thru 2027 peak 1.7 · 2026

wRC+†vL 122119vR 117

AVG/OBP/SLG.236 / .344 / .432

PA344

HR14

K%23

BB%12

MLB%100%

Scouting · now → future

HIT

50→50

PWR

55→55

SPD

35→35

EYE

63↘50

trajectory · 10 yrs

1.1peak

2026

Contract

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

Status FA

MLB Debut 2014

Service 12.000 yrs.days

Team Control Through 2027

First FA Year 2028

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$18M	+1.7	$14M	-$5M
2027	Ext / FA-deal	$18M	+0.8	$3M	-$15M
Totals		$37M		$17M	-$20M

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
2011	19	ROK	2 teams	370	334	81	14	1	8	25	90	5	26	5	.243	.305	.362	.667	.120	.303	24	7	.296	85	-6	+3	+0	+1	+10	0.9
2012	20	A+	2 teams	555	502	131	24	3	17	38	122	11	29	15	.261	.327	.422	.749	.161	.312	22	7	.324	106	+4	-0	+0	+2	+16	2.2
2013	21	AA	2 teams	668	602	141	27	3	27	53	190	6	33	9	.234	.303	.424	.726	.189	.293	28	8	.314	98	-1	+3	+0	+2	+19	2.4
2014	22	AAA	3 teams	685	590	128	15	3	26	86	247	6	33	13	.217	.323	.385	.707	.168	.321	36	13	.314	99	-1	+1	+0	+2	+19	2.3
2015	23	MLB	Los Angeles Dodgers	585	480	101	18	1	25	92	170	9	4	7	.210	.348	.408	.756	.198	.265	29	16	.339	117	+11	-2	+1	+2	+17	3.0
2016	24	MLB	Los Angeles Dodgers	476	406	102	27	0	26	63	130	4	6	2	.251	.357	.510	.867	.259	.302	27	13	.372	143	+23	+0	+1	+2	+13	4.0
2017	25	MLB	2 teams	394	340	68	20	0	14	42	86	10	5	3	.200	.306	.382	.688	.182	.223	22	11	.307	93	-3	-0	-7	+1	+11	0.3
2018	26	MLB	Los Angeles Dodgers	443	395	98	26	4	24	40	85	4	1	5	.248	.323	.516	.840	.268	.256	19	9	.346	123	+12	-2	-9	-5	+13	0.9
2019	27	MLB	Los Angeles Dodgers	514	450	111	16	4	33	50	111	12	1	1	.247	.338	.520	.858	.273	.253	22	10	.370	141	+24	-0	-5	-6	+15	2.9
2020	28	MLB	Los Angeles Dodgers	138	122	23	4	0	7	11	34	5	1	0	.189	.283	.393	.676	.205	.198	25	8	.291	81	-3	+0	-2	-1	+4	-0.2
2021	29	MLB	Atlanta Braves	481	429	100	18	3	18	39	117	8	2	3	.233	.309	.415	.724	.182	.274	24	8	.316	100	-0	-1	-7	-5	+14	0.0
2022	30	MLB	San Francisco Giants	433	380	104	18	3	23	42	100	7	3	2	.274	.357	.518	.875	.245	.310	23	10	.368	140	+20	-0	-11	-5	+12	1.6
2023	31	MLB	San Francisco Giants	425	358	86	14	3	15	57	89	7	0	0	.240	.355	.422	.777	.182	.276	21	13	.334	113	+6	+0	-3	-5	+12	1.1
2024	32	MLB	Arizona Diamondbacks	449	372	99	16	1	23	55	105	18	7	4	.266	.387	.500	.887	.234	.308	23	12	.377	147	+24	-0	+0	+2	+13	3.9
2025	33	MLB	Texas Rangers	306	266	48	10	1	9	34	65	5	2	0	.180	.285	.327	.612	.147	.202	21	11	.276	70	-11	+0	+0	-5	+9	-0.7
▸ 2026 Season (actual · ROS · total)
2026	34	MLB	Texas Rangers	68	55	13	1	0	1	11	18	1	0	0	.236	.373	.309	.682	.073	.324	26	16	.316	100	+0	+0	-0	-1	+2	0.1
ROS	34	MLB	TEX	276	234	56	10	1	10	34	65	6	2	1	.239	.350	.419	.769	.179	.284	24	12	.346	123	+7	+0	-0	+1	+8	1.6
TOT	34	MLB	TEX	344	289	69	11	1	11	45	83	7	2	1	.239	.355	.398	.753	.159	.294	24	13	.340	119	+7	+0	-1	-0	+10	1.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	35	MLB	TEX	284	241	56	10	1	10	35	59	6	2	1	.232	.344	.407	.751	.174	.264	21	12	.338	117	+5	+0	-6	+1	+8	0.9
2028	36	MLB	TEX	227	192	44	7	1	8	28	49	5	1	0	.229	.342	.401	.743	.172	.261	22	12	.328	109	+2	+0	-7	+1	+6	0.3
2029	37	MLB	TEX	165	141	31	5	1	5	20	37	3	0	0	.220	.329	.376	.705	.156	.256	22	12	.318	101	+0	+0	-7	+1	+5	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			7874	6834	1608	299	34	328	844	1951	137	158	71	.235	.331	.433	.764	.198	.278	25	11	.333	113	+114	+3	-61	-13	+223	27.1
/ 162G	—			650	564	133	25	3	27	70	161	11	13	6	.236	.332	.434	.766	.199	.279	25	11	.333	113	+9	+0	-5	-1	+18	2.2

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
2011	19	A	Great Lakes Loons	60	50	8	0	0	0	7	9	2	2	0	.160	.288	.160	.448	.000	.195	15	12	.227	32	-5	+0	—	—	+2	-0.3
2011	19	ROK	Ogden Raptors	310	266	94	20	2	11	36	54	3	24	5	.353	.436	.568	1.004	.214	.403	17	12	.433	190	+31	+3	—	—	+9	4.4
2012	20	A+	Rancho Cucamonga Quakes	499	434	136	26	4	18	51	81	10	26	14	.313	.398	.516	.914	.203	.350	16	10	.401	165	+36	-0	—	—	+14	5.1
2012	20	INTL	Mesa Solar Sox	56	52	5	0	0	1	3	6	1	3	1	.096	.161	.154	.315	.058	.089	11	5	.152	-25	-8	+0	—	—	+2	-0.6
2013	21	AA	Chattanooga Lookouts	519	439	122	24	3	22	70	114	5	31	8	.278	.383	.497	.880	.219	.327	22	13	.385	153	+31	+3	—	—	+15	5.0
2013	21	INTL	Cardenales de Lara	149	110	28	7	1	5	36	42	1	2	1	.255	.442	.473	.915	.218	.359	28	24	.406	169	+12	+0	—	—	+4	1.6
2014	22	MLB	Los Angeles Dodgers	38	28	4	0	0	0	9	11	0	0	0	.143	.351	.143	.494	.000	.235	29	24	.260	58	-2	+0	+0	+2	+1	0.2
2014	22	AAA	Albuquerque Isotopes	553	446	135	17	4	33	100	149	5	30	13	.303	.436	.581	1.016	.278	.385	27	18	.441	195	+60	+1	—	—	+16	7.8
2014	22	INTL	Leones del Escogido	94	83	22	3	1	1	10	33	1	3	0	.265	.351	.361	.713	.096	.429	35	11	.326	108	+1	+1	—	—	+3	0.4
2015	23	MLB	Los Angeles Dodgers	585	480	101	19	1	26	92	170	9	4	7	.210	.348	.417	.764	.206	.262	29	16	.343	121	+14	-2	+1	+2	+17	3.2
2016	24	MLB	Los Angeles Dodgers	476	406	100	26	0	25	63	130	4	6	2	.246	.353	.495	.848	.249	.296	27	13	.371	142	+23	+0	+1	+2	+13	4.0
2017	25	MLB	Los Angeles Dodgers	323	273	58	20	0	11	39	68	10	4	3	.212	.332	.407	.739	.194	.241	21	12	.333	113	+5	-0	-7	+1	+9	0.8
2017	25	AAA	Oklahoma City Dodgers	71	65	11	1	0	3	5	14	0	1	0	.169	.229	.323	.552	.154	.163	20	7	.244	45	-4	+0	—	—	+2	-0.2
2018	26	MLB	Los Angeles Dodgers	443	395	98	27	3	25	40	85	4	1	5	.248	.323	.522	.845	.273	.253	19	9	.364	137	+18	-2	-9	-5	+13	1.6
2019	27	MLB	Los Angeles Dodgers	514	450	112	16	3	36	50	111	12	1	1	.249	.340	.538	.878	.289	.249	22	10	.381	149	+29	-0	-5	-6	+15	3.4
2020	28	MLB	Los Angeles Dodgers	138	121	23	4	0	7	11	34	5	1	0	.190	.283	.397	.679	.207	.200	25	8	.304	91	-1	+0	-2	-1	+4	-0.0
2021	29	MLB	Atlanta Braves	481	429	102	19	3	18	39	117	8	2	3	.238	.313	.422	.735	.184	.281	24	8	.324	106	+3	-1	-7	-5	+14	0.4
2022	30	MLB	San Francisco Giants	433	380	104	19	3	23	42	100	7	3	2	.274	.357	.521	.878	.247	.310	23	10	.381	150	+24	-0	-11	-5	+12	2.1
2023	31	MLB	San Francisco Giants	425	358	84	14	3	15	57	89	7	0	0	.235	.351	.416	.767	.182	.268	21	13	.344	121	+10	+0	-3	-5	+12	1.5
2024	32	MLB	Arizona Diamondbacks	449	367	101	17	1	23	55	105	18	7	4	.275	.391	.515	.906	.240	.322	23	12	.395	160	+31	-0	+0	+2	+13	4.6
2025	33	MLB	Texas Rangers	306	265	48	10	1	9	34	65	5	2	0	.181	.285	.328	.614	.147	.203	21	11	.281	73	-9	+0	+0	-5	+9	-0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4611	3952	935	191	18	218	531	1085	89	31	27	.237	.340	.460	.799	.223	.268	24	12	.352	128	+144	-5	-41	-22	+131	21.1

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
Joc Pederson (OGILVIE)	34	50	55	35	50	.237/.349/.419	.182	.266	13	3	20%	12%	123	+1.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Joyce 2019 · MLB	34	45→55	56→60	41→50	61	.235/.341/.430	.195	.266	23	4	21%	14%	121	+3.2	.250/.351/.398	.148	.305	17	4	22%	13%	118	+3.0	.251/.368/.372	.121	.315	14	1	22%	15%	114	+0.7
●Adam Lind 2017 · MLB	34	52→61	55→60	41→40	52	.268/.332/.452	.184	.297	22	2	19%	9%	123	+3.3	.252/.308/.431	.179	.281	23	3	19%	8%	108	+2.3	.247/.300/.413	.166	.274	22	1	19%	7%	94	+0.6
✕Daryle Ward 2008 · MLB	33	55→56	52→60	39→30	57	.275/.352/.449	.174	.303	18	3	16%	10%	130	+3.8	.244/.323/.406	.162	.284	18	5	20%	10%	108	+2.3	.227/.301/.363	.136	.259	17	2	19%	9%	86	+0.3
✕John Mabry 2005 · MLB	34	51	56→60	41→30	52	.266/.336/.459	.193	.300	25	4	21%	9%	127	+3.6	.237/.306/.396	.159	.286	18	3	23%	9%	98	+1.6	.218/.286/.360	.141	.266	15	0	23%	8%	77	+0.1
●Aubrey Huff 2010 · MLB	33	53→60	53→60	38→45	53	.271/.333/.454	.183	.288	20	3	14%	8%	124	+3.4	.257/.336/.426	.169	.278	19	5	15%	10%	118	+3.0	.251/.338/.411	.160	.271	18	5	15%	11%	109	+1.8
✕Garrett Jones 2015 · MLB	34	48→53	54→60	46→50	48	.248/.305/.433	.185	.284	22	3	21%	8%	107	+2.2	.236/.293/.390	.154	.284	18	5	23%	7%	91	+1.1	.213/.254/.347	.134	.257	17	0	24%	5%	62	-0.2
✕Yadiel Hernandez 2022 · MLB	34	49→56	56→55	45	46	.259/.315/.443	.184	.308	25	7	25%	8%	114	+2.7	.255/.302/.397	.142	.316	17	7	24%	6%	96	+1.5	.272/.317/.409	.136	.334	16	4	23%	6%	104	+1.1
✕Brian Daubach 2006 · MLB	34	50→52	52→60	43→40	55	.252/.334/.427	.175	.296	19	4	21%	11%	117	+2.9	.241/.318/.404	.163	.287	19	5	22%	9%	105	+2.1	.221/.309/.367	.147	.261	19	0	23%	9%	91	+0.5
●Dan Johnson 2014 · MLB	34	43→53	54→60	45→30	56	.229/.312/.403	.175	.246	23	2	19%	10%	103	+1.9	.208/.294/.356	.148	.241	18	3	21%	10%	83	+0.6	.202/.300/.350	.148	.232	18	0	21%	11%	84	+0.4
●Adam LaRoche 2013 · MLB	33	48→55	56→65	42→40	52	.252/.326/.451	.199	.296	24	2	23%	10%	121	+3.2	.240/.331/.429	.189	.276	24	4	22%	12%	117	+2.9	.227/.326/.400	.173	.263	22	3	22%	12%	99	+1.5
✕Seth Smith 2017 · MLB	34	50→56	52→60	46→50	57	.253/.343/.430	.177	.292	18	2	20%	11%	122	+3.3	.254/.337/.427	.173	.299	20	5	21%	10%	119	+3.1	.256/.340/.425	.169	.303	19	3	21%	10%	111	+1.6
●Aaron Guiel 2006 · MLB	33	45→53	54→60	43→45	48	.235/.309/.420	.185	.266	22	6	21%	7%	106	+2.2	.232/.318/.424	.192	.268	23	6	22%	9%	111	+2.5	.222/.327/.430	.209	.249	25	3	22%	10%	115	+2.0
✕Mitch Moreland 2020 · MLB	34	45→55	58→60	47→40	54	.242/.321/.450	.207	.271	26	3	22%	10%	118	+3.0	.243/.314/.451	.208	.276	27	4	22%	9%	116	+2.8	.235/.303/.445	.211	.261	28	0	22%	8%	105	+0.7
●Tino Martinez 2004 · MLB	36	52→54	54→55	41→40	55	.269/.339/.448	.179	.278	22	3	13%	9%	124	+3.4	.258/.347/.443	.185	.268	24	4	14%	11%	127	+3.6	.251/.349/.447	.196	.253	27	3	14%	12%	120	+2.3
★Jeromy Burnitz 2003 · MLB	34	44→52	58→65	41→45	58	.234/.335/.437	.204	.262	26	6	22%	12%	121	+3.2	.251/.324/.474	.223	.277	30	7	21%	9%	126	+3.5	.259/.327/.489	.229	.278	31	5	19%	8%	124	+3.3
✕Olmedo Saenz 2006 · MLB	35	50	58→60	42→30	50	.262/.328/.470	.208	.288	27	3	20%	8%	126	+3.5	.258/.333/.467	.209	.292	25	4	21%	8%	128	+3.6	.249/.336/.468	.219	.281	27	0	21%	9%	126	+1.0
●Adrián González 2016 · MLB	34	55→64	54→65	40→30	53	.280/.344/.463	.183	.304	22	2	17%	9%	131	+3.9	.271/.334/.430	.159	.309	18	2	18%	8%	118	+3.0	.267/.328/.408	.140	.308	16	0	18%	8%	103	+1.2
✕Brett Harper 2015 · AAA	34	49→51	55→60	40→30	43	.254/.309/.436	.181	.307	25	7	26%	6%	110	+2.4	.254/.312/.437	.183	.311	27	5	27%	7%	111	+2.5	.256/.315/.438	.182	.308	29	0	26%	7%	111	+1.3
✕Justin Morneau 2015 · MLB	34	54→61	51→65	37→30	51	.274/.334/.437	.163	.298	18	2	15%	8%	120	+3.1	.272/.325/.431	.159	.309	16	3	17%	7%	114	+2.7	.272/.320/.429	.157	.321	14	0	20%	6%	105	+0.8
●Robin Ventura 2001 · MLB	34	45→48	57→55	39→40	62	.239/.339/.440	.201	.250	25	5	17%	13%	123	+3.3	.241/.352/.432	.191	.262	24	4	18%	15%	126	+3.5	.240/.356/.423	.183	.263	24	2	18%	15%	116	+2.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)