Elliot Soto — OGILVIE

Elliot SotoSS Salt Lake Bees

Age 36 R/R 5'7" / 160 lbs AAA HR -5% Svc 0.0 · Ctrl thru 2033

wRC+†51

AVG/OBP/SLG.196 / .266 / .278

PA197

HR2

SB6

K%32

BB%8

MLB%10%

Scouting · now → future

HIT

31→31

PWR

33→33

SPD

58→58

EYE

53→53

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	Ext	beyond projection horizon · no WAR estimate
2028	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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
2010	20	ROK	AZL Cubs	17	16	5	0	0	0	0	3	0	2	0	.312	.312	.312	.625	.000	.385	18	0	.257	55	-1	+0	+0	+0	+0	0.0
2011	21	A	2 teams	445	405	102	11	1	0	15	88	7	5	7	.252	.290	.284	.574	.032	.319	20	3	.248	48	-26	-2	+0	+5	+13	-1.1
2012	22	AA	2 teams	272	244	48	6	3	0	20	63	1	2	4	.197	.260	.246	.506	.049	.262	23	7	.230	34	-20	-1	+0	+3	+8	-1.1
2013	23	A+	2 teams	298	266	52	9	0	2	20	67	3	3	3	.195	.260	.252	.511	.056	.248	22	7	.230	34	-22	-1	+0	+3	+8	-1.1
2014	24	AA	2 teams	276	251	55	10	0	1	20	55	0	4	0	.219	.277	.271	.548	.052	.273	20	7	.241	43	-18	+1	+0	+3	+8	-0.6
2015	25	AA	2 teams	546	479	115	12	2	0	51	122	5	8	5	.240	.320	.273	.593	.033	.321	22	9	.265	61	-24	-0	+0	+6	+15	-0.3
2016	26	AAA	New Orleans Zephyrs	190	167	36	4	1	1	19	45	1	3	0	.216	.299	.269	.569	.054	.289	24	10	.254	53	-10	+1	+0	+2	+5	-0.2
2017	27	AAA	Iowa Cubs	283	254	55	13	2	2	16	60	1	5	2	.217	.266	.307	.573	.091	.269	21	6	.245	46	-17	+0	+0	+3	+8	-0.6
2018	28	AAA	Albuquerque Isotopes	268	245	62	9	4	1	17	54	0	2	1	.253	.302	.335	.636	.082	.316	20	6	.276	69	-9	+0	+0	+3	+8	0.1
2019	29	AAA	2 teams	535	483	110	17	6	7	39	144	6	9	6	.228	.294	.331	.625	.104	.307	27	7	.272	66	-20	-1	+0	+6	+15	-0.0
2021	31	AAA	Oklahoma City Dodgers	198	180	37	8	0	0	13	53	3	3	1	.206	.270	.250	.520	.044	.289	27	7	.235	38	-14	+0	+0	+2	+6	-0.6
2022	32	AAA	St. Paul Saints	344	313	60	16	1	4	28	94	3	9	1	.192	.265	.288	.552	.096	.260	27	8	.247	47	-21	+1	+0	+4	+10	-0.6
2023	33	AAA	St. Paul Saints	184	169	31	4	2	1	9	74	2	9	0	.183	.233	.249	.482	.065	.316	40	5	.205	15	-18	+2	+0	+2	+5	-0.9
2024	34	AAA	Salt Lake Bees	468	413	71	10	2	3	43	149	2	21	5	.172	.253	.228	.481	.056	.257	32	9	.223	29	-38	+2	+0	+5	+13	-1.7
▸ 2026 Season
2026	36	MLB	LAA	197	178	35	6	1	2	16	63	1	6	1	.197	.267	.275	.542	.079	.289	32	8	.252	51	-11	+1	+1	+2	+6	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			4521	4063	874	135	25	24	326	1134	35	91	36	.215	.279	.278	.558	.063	.289	25	7	.247	47	-269	+4	+1	+48	+128	-9.0
/ 162G	—			650	584	125	19	4	3	47	163	5	13	5	.214	.278	.276	.554	.062	.288	25	7	.247	47	-39	+1	+0	+7	+18	-1.3

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
2010	20	ROK	AZL Cubs	17	16	6	0	0	0	0	2	0	2	0	.375	.375	.375	.750	.000	.429	12	0	.319	103	+0	+0	—	—	+0	0.1
2011	21	A+	Daytona Cubs	91	81	25	2	0	0	4	12	1	1	0	.309	.349	.333	.682	.025	.357	13	4	.296	84	-2	+0	—	—	+3	0.1
2011	21	A	Peoria Chiefs	354	318	83	11	1	0	17	58	6	4	7	.261	.311	.302	.613	.041	.317	16	5	.272	66	-13	-2	—	—	+10	-0.6
2012	22	AA	Tennessee Smokies	244	209	46	5	4	0	27	45	1	2	3	.220	.312	.282	.595	.062	.277	18	11	.270	65	-10	-1	—	—	+7	-0.4
2012	22	A+	Daytona Cubs	28	26	6	2	0	0	2	2	0	0	1	.231	.286	.308	.593	.077	.250	7	7	.271	65	-1	-0	—	—	+1	-0.1
2013	23	AA	Tennessee Smokies	136	121	23	2	0	2	13	26	0	1	2	.190	.269	.256	.525	.066	.226	19	10	.243	44	-9	-1	—	—	+4	-0.5
2013	23	A+	Daytona Cubs	162	135	33	8	0	0	17	24	3	2	1	.244	.342	.304	.646	.059	.284	15	10	.290	80	-4	+0	—	—	+5	0.1
2014	24	AAA	Iowa Cubs	119	108	26	4	0	1	8	21	0	1	0	.241	.293	.306	.599	.065	.281	18	7	.267	63	-5	+0	—	—	+3	-0.1
2014	24	AA	Tennessee Smokies	157	134	33	8	0	0	21	21	0	3	0	.246	.348	.306	.654	.060	.292	13	13	.303	90	-2	+1	—	—	+4	0.3
2015	25	AA	Jacksonville Suns	497	414	106	11	2	0	69	82	3	7	5	.256	.366	.292	.659	.036	.318	16	14	.306	92	-4	-1	—	—	+14	0.9
2015	25	INTL	Mesa Solar Sox	49	44	10	0	0	0	3	8	2	1	0	.227	.306	.227	.533	.000	.278	16	6	.257	55	-2	+0	—	—	+1	-0.1
2016	26	AAA	New Orleans Zephyrs	190	158	38	4	1	1	28	36	1	3	0	.241	.358	.297	.656	.057	.306	19	15	.306	92	-2	+1	—	—	+5	0.4
2017	27	AAA	Iowa Cubs	283	244	58	15	2	2	26	49	1	5	2	.238	.314	.340	.654	.102	.283	17	9	.286	77	-7	+0	—	—	+8	0.1
2018	28	AAA	Albuquerque Isotopes	268	238	68	10	5	1	24	41	0	2	1	.286	.351	.382	.733	.097	.337	15	9	.324	106	+2	+0	—	—	+8	1.0
2019	29	AAA	Albuquerque Isotopes	463	410	125	22	10	10	45	91	5	8	5	.305	.380	.480	.861	.176	.371	20	10	.379	148	+25	-0	—	—	+13	3.9
2019	29	INTL	Estrellas Orientales	72	57	8	3	0	0	10	13	1	1	1	.140	.279	.193	.472	.053	.174	18	14	.223	29	-6	-0	—	—	+2	-0.4
2021	31	AAA	Oklahoma City Dodgers	198	174	40	9	0	0	19	41	3	3	1	.230	.316	.282	.598	.052	.299	21	10	.278	71	-6	+0	—	—	+6	-0.1
2022	32	AAA	St. Paul Saints	344	301	67	20	2	4	40	77	3	9	1	.223	.320	.342	.662	.120	.286	22	12	.304	91	-4	+1	—	—	+10	0.8
2023	33	AAA	St. Paul Saints	184	164	35	7	2	1	14	59	2	9	0	.213	.283	.299	.582	.085	.324	32	8	.262	59	-9	+2	—	—	+5	-0.2
2024	34	AAA	Salt Lake Bees	468	398	89	15	3	4	58	112	2	21	5	.224	.325	.307	.632	.083	.297	24	12	.288	79	-11	+2	—	—	+13	0.4

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
Elliot Soto (OGILVIE)	36	31	33	58	53	.196/.266/.278	.083	.289	2	6	32%	8%	51	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ken Huckaby 2007 · MLB	36	42	37→30	50→40	37	.203/.232/.271	.068	.269	5	7	26%	4%	32	-3.0	.219/.248/.282	.063	.296	5	7	27%	3%	41	-2.3	.235/.262/.260	.025	.322	2	0	27%	3%	37	-1.1
✕J.C. Boscan 2015 · AAA	35	38	37→40	46→30	41	.187/.238/.257	.070	.250	5	5	27%	6%	32	-3.0	.202/.247/.283	.081	.259	7	7	24%	5%	42	-2.3	.182/.210/.212	.030	.223	3	0	20%	4%	3	-1.0
✕Drew Butera 2021 · MLB	37	42	43→40	49→40	46	.207/.274/.322	.115	.268	11	5	26%	8%	65	-0.7	.189/.262/.302	.113	.272	12	9	33%	7%	56	-1.3	.136/.221/.228	.091	.201	10	7	36%	7%	18	-1.8
✕Daniel Hinojosa 2019 · AAA	35	48	39→40	50→55	42	.226/.283/.307	.081	.312	7	12	28%	7%	64	-0.8	.210/.258/.350	.140	.324	17	10	39%	6%	66	-0.6	.140/.178/.291	.151	.208	25	5	47%	4%	14	-0.8
✕Josh Wilson 2017 · MLB	36	45→50	39→45	48→50	36	.215/.259/.297	.083	.300	7	10	30%	4%	51	-1.7	.219/.274/.329	.110	.287	11	8	27%	5%	67	-0.5	.203/.261/.299	.096	.264	10	2	26%	4%	52	-0.7
✕Eli Whiteside 2014 · MLB	34	35	40→50	44→40	40	.180/.233/.270	.089	.241	9	4	29%	6%	34	-2.8	.185/.234/.292	.107	.246	11	6	29%	5%	40	-2.4	.153/.202/.253	.100	.196	11	2	28%	4%	15	-1.8
✕Drew Maggi 2023 · AAA	34	40→50	42→45	53→60	41	.196/.272/.298	.102	.288	9	22	33%	7%	59	-1.1	.196/.257/.298	.102	.270	10	16	30%	6%	52	-1.6	.168/.220/.263	.095	.217	12	9	29%	5%	23	-0.8
✕Manny Alexander 2007 · MLB	36	47→50	42→45	51→55	46	.230/.276/.331	.102	.266	9	18	18%	6%	67	-0.5	.216/.255/.307	.091	.261	7	11	20%	5%	52	-1.6	.199/.229/.270	.071	.247	3	5	20%	4%	28	-1.7
✕Tuffy Gosewisch 2019 · MLB	35	40→44	42→45	44→40	44	.200/.262/.306	.106	.254	9	3	25%	6%	56	-1.3	.200/.266/.306	.106	.274	10	6	29%	6%	58	-1.2	.153/.231/.224	.071	.219	10	0	34%	6%	20	-0.8
✕Pete Orr 2015 · MLB	36	50→46	40→45	51→55	38	.238/.267/.334	.096	.304	6	14	24%	3%	63	-0.8	.232/.269/.317	.085	.290	6	15	21%	4%	59	-1.1	.229/.268/.284	.056	.277	3	20	18%	4%	50	-1.1
✕Edgar Vega 2008 · AAA	36	46	38→30	46→30	43	.222/.260/.298	.076	.271	5	4	20%	5%	51	-1.7	.221/.252/.320	.099	.261	9	7	19%	4%	54	-1.4	.225/.249/.344	.118	.241	11	4	12%	3%	53	-0.3
✕Brendan Ryan 2017 · MLB	35	43→53	36→40	46→55	40	.203/.252/.273	.070	.281	3	9	28%	5%	42	-2.3	.210/.267/.295	.085	.273	6	9	24%	7%	55	-1.4	.201/.266/.276	.076	.254	5	6	22%	8%	46	-1.4
✕Raul Chavez 2008 · MLB	35	44	39→40	47→30	42	.210/.245/.291	.081	.239	7	4	16%	3%	43	-2.2	.226/.262/.321	.095	.253	9	4	15%	4%	59	-1.1	.227/.261/.316	.089	.252	8	1	13%	3%	53	-0.5
✕Ed Rogers 2013 · AAA	34	46→50	41→40	49→50	43	.221/.271/.319	.097	.268	7	11	20%	5%	62	-0.9	.241/.292/.351	.110	.290	13	12	21%	5%	80	+0.4	.263/.312/.337	.074	.311	12	12	19%	4%	83	+0.2
✕Tim Laker 2006 · MLB	36	42	46→45	43→45	44	.213/.265/.339	.126	.261	14	4	24%	6%	66	-0.6	.204/.255/.309	.105	.272	9	5	27%	6%	53	-1.5	.175/.219/.233	.058	.252	0	0	29%	4%	14	-1.4
✕Jesus Alberto Vega 2017 · AAA	35	45	39→50	47→40	38	.217/.263/.302	.085	.311	7	5	31%	5%	54	-1.4	.211/.260/.326	.115	.294	13	6	31%	5%	59	-1.1	.179/.230/.298	.120	.240	17	1	33%	5%	37	-0.8
✕Hector Estrada 2006 · AAA	37	44	43→40	44→40	45	.219/.267/.323	.104	.256	11	5	20%	6%	62	-0.9	.217/.268/.325	.108	.248	12	6	18%	6%	63	-0.9	.200/.249/.286	.087	.213	11	3	12%	4%	42	-0.6
✕John McDonald 2009 · MLB	34	48	38→40	50	46	.225/.267/.310	.085	.254	5	12	14%	5%	58	-1.2	.234/.269/.350	.116	.256	11	8	14%	4%	69	-0.4	.234/.264/.350	.116	.253	11	4	13%	3%	65	-0.2
✕Andrew Romine 2021 · MLB	35	47→54	42→40	55	43	.232/.277/.333	.101	.283	10	19	22%	5%	69	-0.4	.238/.286/.329	.091	.307	8	10	24%	6%	71	-0.3	.247/.295/.310	.063	.326	3	3	24%	6%	65	-0.4
✕Alberto Castillo 2004 · MLB	34	43	44→30	48→30	43	.214/.267/.332	.118	.263	12	8	24%	6%	64	-0.8	.236/.311/.350	.114	.277	9	6	17%	10%	88	+0.9	.235/.311/.307	.073	.284	2	2	17%	10%	74	-0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)