Jorge Soler — OGILVIE

Jorge SolerRF Los Angeles Angels

Age 34 R/R 6'3" / 235 lbs MLB HR -5% Svc 10.831 · Ctrl thru 2026 peak 0.9 · 2026

wRC+†vL 138122vR 97

AVG/OBP/SLG.237 / .328 / .457

PA404

HR20

K%26

BB%11

MLB%100%

Scouting · now → future

HIT

45→45

PWR

60→60

SPD

40→40

EYE

59↘55

trajectory · 10 yrs

1.6peak

2026

Contract

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

Status FA

MLB Debut 2014

Service 10.831 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$14M	+0.9	$4M	-$10M
Totals		$14M		$4M	-$10M

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
2012	20	A	2 teams	149	140	34	5	0	4	6	26	3	12	1	.243	.289	.364	.653	.121	.273	17	4	.294	84	-3	+2	+0	-2	+4	0.2
2013	21	A+	2 teams	327	302	74	16	1	9	20	71	1	5	1	.245	.294	.394	.688	.149	.288	22	6	.300	88	-5	+1	+0	-4	+9	0.2
2014	22	AAA	4 teams	333	302	84	26	3	18	26	88	1	1	1	.278	.337	.563	.900	.285	.330	26	8	.379	148	+18	-0	-2	-4	+9	2.3
2015	23	MLB	2 teams	420	380	99	19	1	9	34	126	3	3	1	.261	.326	.387	.713	.126	.363	30	8	.304	91	-4	+0	-9	-4	+12	-0.6
2016	24	MLB	2 teams	306	260	59	9	0	13	39	80	3	0	0	.227	.334	.412	.746	.185	.269	26	13	.330	111	+4	+0	-4	-3	+9	0.5
2017	25	AAA	2 teams	437	386	75	12	0	21	46	138	5	1	0	.194	.288	.389	.677	.194	.238	32	11	.295	84	-8	+0	-1	-5	+12	-0.1
2018	26	MLB	Kansas City Royals	257	223	60	18	0	10	28	69	4	3	1	.269	.361	.484	.845	.215	.342	27	11	.364	137	+11	+0	-7	-3	+7	0.9
2019	27	MLB	Kansas City Royals	679	592	159	31	1	53	73	178	10	3	1	.269	.359	.593	.951	.324	.290	26	11	.399	164	+49	+0	-5	-7	+19	5.7
2020	28	MLB	Kansas City Royals	174	151	33	8	0	8	19	60	3	0	0	.219	.318	.430	.748	.212	.298	34	11	.326	107	+1	+0	-0	-2	+5	0.5
2021	29	MLB	Atlanta Braves	602	524	113	26	0	27	67	142	6	0	0	.216	.312	.420	.731	.204	.239	24	11	.321	104	+3	+0	-9	-6	+17	0.4
2022	30	MLB	Miami Marlins	306	271	57	14	0	13	31	90	3	0	2	.210	.298	.406	.704	.196	.260	29	10	.301	89	-4	-1	-2	-3	+9	-0.1
2023	31	MLB	Miami Marlins	580	504	121	23	0	36	66	141	6	1	0	.240	.335	.500	.835	.260	.257	24	11	.358	132	+21	+0	-4	-6	+16	2.8
2024	32	MLB	Atlanta Braves	574	496	120	32	1	23	68	141	6	1	0	.242	.340	.450	.790	.208	.289	25	12	.345	122	+14	+0	-7	-6	+16	1.8
2025	33	MLB	Los Angeles Angels	315	280	61	12	0	13	28	94	4	0	0	.218	.298	.400	.698	.182	.273	30	9	.303	90	-3	+0	-4	-3	+9	-0.2
▸ 2026 Season (actual · ROS · total)
2026	34	MLB	Los Angeles Angels	95	79	17	3	0	5	11	32	3	0	0	.215	.333	.443	.776	.228	.273	34	12	.336	115	+2	+0	-1	-1	+3	0.2
ROS	34	MLB	LAA	309	267	62	13	0	15	34	86	5	1	0	.232	.330	.449	.780	.217	.281	28	11	.347	123	+8	+0	-7	-3	+9	0.7
TOT	34	MLB	LAA	404	346	79	16	0	20	45	118	8	1	0	.228	.331	.448	.779	.220	.278	29	11	.344	122	+10	+0	-8	-4	+11	0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	35	MLB	LAA	342	297	67	14	0	16	37	76	5	0	0	.226	.322	.434	.756	.209	.248	22	11	.338	117	+6	+0	-13	-4	+10	-0.1
2028	36	MLB	LAA	283	247	54	11	0	13	30	66	4	0	0	.219	.313	.421	.734	.202	.244	23	11	.327	109	+3	+0	-12	-3	+8	-0.5
2029	37	MLB	LAA	220	192	40	8	0	9	23	53	3	0	0	.208	.303	.391	.693	.182	.239	24	10	.316	100	-0	+0	-12	-2	+6	-0.8
2030	38	MLB	LAA	152	133	26	5	0	6	16	38	2	0	0	.195	.291	.368	.660	.173	.234	25	11	.303	90	-2	+0	-11	-2	+4	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			6765	5947	1398	302	7	316	691	1763	77	31	8	.235	.323	.448	.770	.213	.276	26	10	.335	114	+110	+3	-108	-72	+192	12.6
/ 162G	—			650	571	134	29	1	30	66	169	7	3	1	.235	.320	.447	.767	.212	.277	26	10	.335	114	+11	+0	-10	-7	+18	1.2

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
2012	20	A	Peoria Chiefs	88	80	27	5	0	3	6	6	2	4	1	.338	.398	.512	.910	.175	.338	7	7	.404	167	+7	+0	—	—	+2	1.0
2012	20	ROK	AZL Cubs	61	54	13	2	0	2	6	13	1	8	0	.241	.328	.389	.717	.148	.282	21	10	.325	107	+0	+2	—	—	+2	0.4
2013	21	A+	Daytona Cubs	237	210	59	13	1	8	21	38	1	5	1	.281	.348	.467	.814	.186	.304	16	9	.354	129	+8	+1	—	—	+7	1.5
2013	21	INTL	Mesa Solar Sox	90	85	23	6	0	1	5	21	0	0	0	.271	.311	.376	.688	.106	.349	23	6	.308	94	-1	+0	—	—	+3	0.2
2014	22	MLB	Chicago Cubs	97	89	26	8	1	5	6	24	0	1	0	.292	.337	.573	.910	.281	.339	25	6	.385	153	+6	+0	-2	-4	+3	0.4
2014	22	AAA	Iowa Cubs	127	110	31	11	1	8	17	26	0	0	1	.282	.378	.618	.996	.336	.303	20	13	.427	185	+12	-0	—	—	+4	1.6
2014	22	AA	Tennessee Smokies	79	65	27	9	1	6	12	15	0	0	0	.415	.506	.862	1.368	.446	.457	19	15	.557	284	+16	+0	—	—	+2	1.9
2014	22	ROK	AZL Cubs	30	25	10	3	0	1	4	7	1	0	0	.400	.500	.640	1.140	.240	.529	23	13	.496	238	+5	+0	—	—	+1	0.6
2015	23	MLB	Chicago Cubs	404	366	96	18	1	10	32	121	3	3	1	.262	.327	.399	.726	.137	.361	30	8	.324	106	+3	+0	-9	-4	+11	0.1
2015	23	AAA	Iowa Cubs	16	13	2	0	0	0	3	4	0	0	0	.154	.312	.154	.466	.000	.222	25	19	.244	45	-1	+0	—	—	+0	-0.1
2016	24	MLB	Chicago Cubs	264	227	54	9	0	12	31	66	3	0	0	.238	.337	.436	.773	.198	.276	25	12	.342	120	+6	+0	-4	-3	+7	0.6
2016	24	AA	Tennessee Smokies	42	30	5	0	0	0	11	11	0	0	0	.167	.390	.167	.557	.000	.250	26	26	.290	80	-1	+0	—	—	+1	0.0
2017	25	MLB	Kansas City Royals	110	97	14	5	0	2	12	36	1	0	0	.144	.245	.258	.503	.113	.203	33	11	.237	39	-8	+0	-1	-5	+3	-1.0
2017	25	AAA	Omaha Storm Chasers	327	273	73	9	0	24	50	82	4	1	0	.267	.388	.564	.952	.297	.293	25	15	.414	175	+28	+0	—	—	+9	3.8
2018	26	MLB	Kansas City Royals	257	223	59	18	0	9	28	69	4	3	1	.265	.357	.466	.823	.202	.340	27	11	.363	136	+10	+0	-7	-3	+7	0.8
2019	27	MLB	Kansas City Royals	679	589	156	33	1	48	73	178	10	3	1	.265	.354	.569	.923	.304	.294	26	11	.396	161	+47	+0	-5	-7	+19	5.6
2020	28	MLB	Kansas City Royals	174	149	34	8	0	8	19	60	3	0	0	.228	.324	.443	.767	.215	.317	34	11	.337	116	+3	+0	-0	-2	+5	0.6
2021	29	MLB	Atlanta Braves	602	516	115	27	0	27	67	142	6	0	0	.223	.315	.432	.747	.209	.250	24	11	.328	109	+6	+0	-9	-6	+17	0.8
2022	30	MLB	Miami Marlins	306	270	56	13	0	13	31	90	3	0	2	.207	.295	.400	.695	.193	.256	29	10	.310	95	-2	-1	-2	-3	+9	0.1
2023	31	MLB	Miami Marlins	580	504	126	24	0	36	66	141	6	1	0	.250	.344	.512	.856	.262	.272	24	11	.372	143	+28	+0	-4	-6	+16	3.5
2024	32	MLB	Atlanta Braves	574	493	119	34	1	21	68	141	6	1	0	.241	.339	.442	.781	.201	.293	25	12	.345	122	+14	+0	-7	-6	+16	1.8
2025	33	MLB	Los Angeles Angels	315	279	60	12	0	12	28	94	4	0	0	.215	.295	.387	.682	.172	.273	30	9	.303	90	-4	+0	-4	-3	+9	-0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4362	3802	915	209	4	203	461	1162	49	12	5	.241	.329	.458	.787	.217	.288	27	11	.345	122	+111	+0	-54	-53	+124	13.0

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
Jorge Soler (OGILVIE)	34	45	60	40	55	.232/.328/.453	.220	.251	20	1	21%	11%	123	+2.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jay Bruce 2020 · MLB	33	42→52	62→65	42→50	50	.236/.302/.464	.228	.257	31	3	23%	9%	115	+2.7	.221/.284/.426	.205	.253	27	6	25%	8%	97	+1.5	.192/.247/.431	.239	.197	31	0	23%	7%	74	-0.0
✕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
✕Josh Willingham 2014 · MLB	35	45→53	60	45	56	.239/.347/.457	.218	.282	28	4	25%	12%	131	+3.9	.227/.342/.403	.176	.289	21	5	27%	13%	116	+2.8	.207/.336/.371	.163	.268	21	3	28%	14%	98	+1.0
✕Kole Calhoun 2022 · MLB	34	43→53	60	46→50	53	.236/.323/.453	.217	.266	29	5	24%	10%	121	+3.2	.220/.287/.375	.155	.277	19	4	27%	7%	85	+0.7	.210/.275/.357	.147	.266	17	2	27%	7%	73	-0.1
✕Marcus Thames 2010 · MLB	33	44→46	63→70	36→40	46	.244/.302/.470	.225	.279	33	3	26%	8%	116	+2.8	.248/.311/.429	.181	.298	25	4	25%	8%	108	+2.3	.270/.334/.438	.168	.328	25	0	25%	8%	117	+1.2
✕Richie Sexson 2008 · MLB	33	45→54	62→65	43→30	55	.245/.331/.475	.230	.273	30	2	23%	11%	129	+3.7	.232/.320/.413	.181	.275	23	5	24%	11%	108	+2.3	.218/.321/.377	.158	.269	22	2	26%	13%	98	+0.9
✕Justin Upton 2022 · MLB	34	39→49	57→65	43→55	50	.218/.303/.412	.194	.264	27	6	29%	10%	102	+1.8	.215/.298/.378	.163	.296	20	7	32%	9%	91	+1.1	.139/.242/.241	.101	.229	13	0	42%	9%	33	-0.5
✕Khris Davis 2021 · MLB	33	43→50	64→70	45	49	.242/.319/.473	.231	.277	34	2	27%	9%	124	+3.4	.233/.302/.433	.200	.283	26	5	27%	8%	106	+2.2	.208/.272/.456	.248	.233	33	0	28%	7%	95	+0.5
✕Justin Smoak 2020 · MLB	33	45→52	59→65	39→30	61	.241/.347/.455	.215	.271	27	1	23%	14%	131	+3.9	.224/.320/.406	.182	.275	22	5	26%	11%	107	+2.2	.175/.250/.349	.174	.225	20	0	32%	8%	58	-0.3
●Steve Pearce 2017 · MLB	34	51→57	59→60	41→50	53	.266/.344/.479	.213	.293	27	5	20%	10%	135	+4.2	.251/.330/.433	.182	.285	22	3	20%	9%	118	+3.0	.238/.321/.407	.169	.274	20	0	21%	9%	105	+0.9
✕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
✕Lucas Duda 2018 · MLB	32	42→52	64→65	40→30	54	.235/.332/.483	.248	.269	32	2	26%	11%	131	+3.9	.224/.302/.422	.198	.278	26	3	29%	9%	104	+2.0	.209/.281/.375	.167	.266	22	1	30%	7%	79	+0.1
●Dan Johnson 2013 · MLB	33	43→53	57→60	45→30	56	.233/.319/.428	.195	.246	27	2	19%	11%	112	+2.6	.217/.304/.379	.162	.243	21	2	20%	10%	93	+1.3	.202/.300/.350	.148	.232	18	0	21%	11%	84	+0.4
✕Pat Burrell 2011 · MLB	34	45→55	57→65	41→30	59	.239/.340/.440	.201	.277	25	2	23%	13%	124	+3.4	.240/.339/.420	.180	.309	21	4	27%	13%	118	+3.0	.225/.349/.396	.171	.313	19	0	31%	15%	118	+1.1
●Adam Duvall 2023 · MLB	34	39→46	63→70	45	42	.224/.283/.451	.228	.267	33	4	30%	7%	104	+2.0	.223/.285/.440	.217	.277	29	5	31%	7%	102	+1.8	.212/.276/.435	.223	.256	31	3	31%	7%	94	+0.8
✕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
✕Carlos Pena 2012 · MLB	34	38→48	63→70	43→45	62	.218/.344/.456	.238	.253	30	4	27%	15%	130	+3.8	.213/.330/.386	.173	.274	20	4	28%	14%	106	+2.2	.203/.318/.351	.148	.266	17	2	28%	13%	84	+0.4
✕Jesús Aguilar 2022 · MLB	32	48→50	56→60	42→40	54	.253/.329/.443	.190	.278	25	2	19%	10%	120	+3.1	.239/.299/.395	.156	.282	21	3	23%	7%	95	+1.4	.227/.285/.359	.132	.276	18	1	24%	7%	76	+0.0
✕Brandon Moss 2017 · MLB	33	43→51	61→65	46→45	49	.234/.316/.456	.222	.283	29	2	28%	10%	118	+3.0	.229/.300/.452	.223	.285	31	5	30%	9%	111	+2.5	.209/.282/.435	.225	.251	34	3	32%	9%	96	+1.0
✕Jake Fox 2016 · AAA	34	45→54	57→65	47→45	43	.243/.299/.436	.193	.274	26	4	23%	5%	106	+2.2	.222/.272/.380	.158	.280	19	4	28%	6%	80	+0.4	.204/.253/.356	.152	.257	19	0	29%	5%	63	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)