Yordani Soto — OGILVIE

Yordani SotoSS ACL White Sox

Age 17 S/R 5'11" / 160 lbs ROK HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION165 act + 16 ros · stats below = ROS only

showingROS

wRC+†61

AVG/OBP/SLG.200 / .250 / .267

PA16

HR0

K%31

BB%6

BABIP289

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2036	Arb-2	$5M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$3M		$6M	+$2M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2025	16	ROK	DSL White Sox	—	156	124	34	6	1	1	28	31	4	21	6	274	423	363	786	89	359	20	18	368	135	+7	+2	—	—	+3	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	16	ROK MLE	DSL White Sox	—	156	135	28	4	1	1	17	44	4	21	6	207	314	274	588	67	292	28	11	262	63	-7	+2	—	—	+3	-0.2
2025	16	ROK MLE	DSL White Sox	—	156	135	28	4	1	1	17	44	4	21	6	207	314	274	588	67	300	28	11	262	63	—	—	—	—	—	—
2025	16	ROK RAW	DSL White Sox	—	156	124	34	6	1	1	28	31	4	21	6	274	423	363	786	89	359	20	18	368	63	—	—	—	—	—	—
2025	16	ROK MLE	DSL White Sox	—	156	134	28	4	1	1	17	44	4	21	6	209	314	276	590	67	292	28	11	262	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	16	ROK MLE	DSL White Sox	—	156	134	28	4	1	1	17	44	4	21	6	209	314	276	590	67	292	28	11	262	63	—	—	—	—	—	—
YTD	17	ROK MLE	CWS	—	165	150	27	7	2	3	11	69	3	8	8	180	250	313	563	133	304	42	7	246	53	-9	-2	+0	+2	+4	-0.6
▸ 2026 season
YTD	17	ROK RAW	CWS	—	165	144	39	11	3	5	17	48	3	8	8	271	360	493	853	222	370	29	10	373	53	—	—	—	—	—	—
ROS	17	ROK MLE	CWS	0%	16	15	3	1	0	0	1	5	0	0	0	200	250	267	517	67	289	31	6	258	61	-1	+0	+0	+0	+0	-0.0
TOT	17	ROK MLE	CWS	—	181	165	30	8	2	3	12	74	3	8	8	182	250	309	559	127	303	41	7	247	53	-10	-2	+0	+2	+4	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	18	MLB MLE	CWS	34%	235	212	43	9	2	4	18	75	3	6	2	203	275	321	595	118	287	32	8	264	65	-10	+0	+0	+3	+5	-0.2
2028	19	MLB MLE	CWS	48%	368	331	69	14	3	7	29	114	5	9	4	208	282	332	615	124	290	31	8	274	71	-12	+0	+0	+4	+8	-0.0
2029	20	MLB MLE	CWS	54%	470	423	90	18	4	9	37	142	7	11	5	213	287	338	625	125	292	30	8	281	76	-13	+0	+0	+5	+10	0.2
2030	21	MLB MLE	CWS	57%	547	490	105	21	4	11	44	163	8	13	6	214	290	341	630	127	293	30	8	285	79	-14	+0	+0	+6	+12	0.4
2031	22	MLB MLE	CWS	58%	592	530	115	23	5	13	48	176	9	15	6	217	293	353	646	136	293	30	8	287	81	-14	+1	+0	+6	+13	0.6
2032	23	MLB MLE	CWS	58%	612	548	119	24	5	13	50	181	9	15	7	217	293	350	644	133	294	30	8	289	82	-13	+0	+0	+7	+13	0.7
2033	24	MLB MLE	CWS	57%	625	559	122	24	5	14	51	184	10	15	7	218	295	354	649	136	295	29	8	291	83	-13	+0	+0	+7	+14	0.8
2034	25	MLB MLE	CWS	57%	633	566	123	24	5	14	52	186	10	16	7	217	295	352	646	134	295	29	8	291	83	-13	+0	+0	+7	+14	0.8
2035	26	MLB MLE	CWS	57%	638	571	125	25	5	14	52	188	10	16	7	219	295	354	649	135	295	29	8	292	83	-13	+0	+0	+7	+14	0.9
2036	27	MLB MLE	CWS	56%	637	569	123	24	5	14	53	188	10	16	7	216	294	350	644	134	295	30	8	292	84	-12	+0	+0	+7	+14	0.9
2037	28	MLB MLE	CWS	55%	631	563	122	24	5	14	53	187	10	15	7	217	296	352	647	135	294	30	8	291	83	-13	+0	-1	+7	+14	0.7
2038	29	MLB MLE	CWS	53%	620	553	118	23	5	13	52	185	10	14	6	213	293	344	636	130	294	30	8	289	82	-13	+0	-1	+7	+13	0.6
2039	30	MLB MLE	CWS	53%	609	544	116	23	4	13	51	183	9	14	6	213	291	342	633	129	293	30	8	287	80	-14	+0	-2	+7	+13	0.4
2040	31	MLB MLE	CWS	52%	595	531	111	22	4	12	50	181	9	13	6	209	288	333	621	124	291	30	8	283	77	-16	+0	-3	+6	+13	0.1
2027	18	MLB CTX	CWS	34%	81	74	15	3	1	1	6	26	1	2	1	203	272	311	582	108	288	32	7	256	65	-3	+0	+0	+1	+2	-0.1
2028	19	MLB CTX	CWS	48%	178	160	33	7	1	3	14	55	2	4	2	206	278	319	597	112	291	31	8	265	71	-6	+0	+0	+2	+4	-0.0
2029	20	MLB CTX	CWS	54%	255	229	49	10	2	5	20	77	4	6	3	214	289	341	629	127	293	30	8	271	76	-7	+0	+0	+3	+6	0.1
2030	21	MLB CTX	CWS	57%	310	277	60	12	2	7	25	93	5	8	3	217	293	350	643	134	293	30	8	275	79	-8	+0	+0	+3	+7	0.3
2031	22	MLB CTX	CWS	58%	341	306	66	13	3	7	27	101	5	8	4	216	290	346	636	131	294	30	8	277	81	-8	+0	+0	+4	+7	0.3
2032	23	MLB CTX	CWS	58%	355	318	70	14	3	8	29	105	5	9	4	220	295	358	654	138	295	30	8	279	82	-8	+0	+0	+4	+8	0.4
2033	24	MLB CTX	CWS	57%	357	320	70	14	3	8	29	105	5	9	4	219	294	356	650	138	296	29	8	281	83	-7	+0	+0	+4	+8	0.5
2034	25	MLB CTX	CWS	57%	360	322	71	14	3	8	29	106	6	9	4	220	297	357	654	137	296	29	8	281	83	-7	+0	+0	+4	+8	0.5
2035	26	MLB CTX	CWS	57%	361	322	71	14	3	8	30	106	6	9	4	220	299	357	656	137	296	29	8	281	83	-7	+0	+0	+4	+8	0.5
2036	27	MLB CTX	CWS	56%	354	316	70	14	3	8	29	105	6	9	4	222	299	361	660	139	296	30	8	282	84	-7	+0	+0	+4	+8	0.5
2037	28	MLB CTX	CWS	55%	347	310	68	13	3	8	29	103	5	8	4	219	297	358	655	139	295	30	8	281	83	-7	+0	-0	+4	+8	0.4
2038	29	MLB CTX	CWS	53%	332	296	63	13	2	7	28	99	5	8	3	213	292	341	633	128	295	30	8	279	82	-7	+0	-1	+4	+7	0.3
2039	30	MLB CTX	CWS	53%	321	286	61	12	2	7	27	97	5	7	3	213	292	343	635	129	294	30	8	277	80	-8	+0	-1	+3	+7	0.2
2040	31	MLB CTX	CWS	52%	310	276	58	12	2	6	26	94	5	7	3	210	290	333	623	123	291	30	8	273	77	-8	+0	-1	+3	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4262	3812	825	165	33	91	348	1272	65	103	46	216	293	349	642	132	297	30	8	277	80	-99	+2	-4	+46	+92	3.9
/ 162G	—	A+C		—	650	581	126	25	5	14	53	194	10	16	7	217	293	349	643	133	297	30	8	277	80	-15	+0	-1	+7	+14	0.6
Career	—	MLE		—	7984	7140	1532	303	62	166	658	2382	123	209	89	215	292	344	636	130	295	30	8	286	80	-184	+4	-7	+84	+170	6.8
/ 162G	—	MLE		—	650	581	125	25	5	14	54	194	10	17	7	215	293	348	641	133	295	30	8	286	80	-15	+0	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.6	4,398	92	106	215	289	346	+47	+24	6.8	5.8
/162	664	14	16	+7.1	+3.6	1.0	pk7: 5
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5

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
Yordani Soto (OGILVIE)	17	45	25	60	60	194/266/296	102	289	2	4	33%	8%	61	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeremy Arocho 2018 · A	19	43→45	38→30	53→60	41	203/260/286	83	285	4	12	29%	6%	55	-2.0	223/283/291	68	291	2	11	22%	7%	64	-1.3	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Julio Izturis 2007 · A	17	43	35→30	48→60	46	200/278/258	58	271	2	14	25%	7%	56	-1.9	214/300/262	48	265	2	24	18%	8%	65	-1.2	217/310/253	36	266	2	31	17%	9%	65	-0.4
✕Jodaneli Carvajal 2010 · A	18	43	38→30	62→55	43	207/259/290	83	274	4	20	25%	6%	55	-1.9	213/265/278	65	273	2	17	21%	6%	54	-2.0	213/263/269	56	268	2	18	20%	5%	49	-0.8
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕Samuel Ortiz 2014 · A	17	43	36→30	53→50	47	200/271/266	66	262	3	11	24%	8%	55	-1.9	193/271/247	54	247	2	10	21%	9%	51	-2.3	178/255/223	45	238	3	8	25%	9%	39	-0.8
✕Fidel Mejia 2016 · A	17	46	35→30	48→40	45	214/271/274	60	289	2	9	25%	7%	56	-1.9	220/268/277	57	299	2	8	25%	6%	55	-1.9	227/273/277	50	304	1	7	24%	5%	55	-0.6
✕Emmanuel Morel 2015 · A	18	42	36→30	51→55	41	199/261/262	63	278	3	9	28%	6%	50	-2.3	192/267/250	58	298	2	16	33%	9%	50	-2.3	173/256/219	46	280	0	22	34%	9%	37	-0.9
✕Yamal Encarnacion 2022 · A	18	43	37→40	51→60	47	204/269/281	77	269	4	13	24%	8%	57	-1.8	205/266/267	62	274	3	17	24%	7%	53	-2.1	225/283/303	79	291	5	45	23%	7%	64	-0.6
✕Riley Unroe 2014 · A	18	42→48	37→45	51→55	47	196/275/269	72	289	3	9	31%	9%	57	-1.8	195/258/260	65	272	4	9	28%	7%	48	-2.5	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Luis Alejandro Basabe 2014 · A	17	37→47	37→40	53→50	45	176/258/250	74	276	3	10	34%	9%	47	-2.5	193/281/263	70	301	3	13	33%	10%	59	-1.7	199/290/276	77	309	5	14	33%	11%	62	-0.6
✕Leandro Arias 2023 · A	18	40→46	37→40	51→45	44	187/262/262	75	279	4	11	32%	8%	51	-2.2	199/268/279	80	262	6	10	25%	7%	57	-1.8	194/265/264	69	249	6	8	23%	7%	51	-1.1
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Chris Garia 2011 · A	18	39→49	35→40	52→60	43	185/248/243	58	253	3	19	27%	6%	40	-3.0	207/268/262	55	286	2	20	26%	7%	52	-2.2	232/271/341	109	306	8	32	26%	4%	67	-0.6
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	193/266/287	94	270	9	17	30%	8%	58	-1.7	218/283/318	100	304	7	21	28%	8%	71	-0.8	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Anderson Feliz 2010 · A	18	42→51	37→40	51→50	43	198/261/272	74	292	4	10	32%	8%	52	-2.2	194/247/285	91	292	6	12	33%	6%	49	-2.4	203/265/289	86	328	5	16	37%	8%	55	-0.5
✕Rafael Herrera 2019 · A	18	43	35→40	52→50	45	200/267/266	67	269	2	12	25%	7%	53	-2.1	218/286/298	80	291	4	12	24%	8%	68	-1.0	229/304/310	81	297	4	17	22%	9%	74	-0.2
✕Luis Alexander Basabe 2014 · A	17	39→43	36→45	51→50	49	182/277/252	70	274	3	14	31%	10%	55	-1.9	197/268/294	97	286	5	13	30%	8%	60	-1.6	196/266/304	108	307	10	14	37%	8%	59	-0.9
✕Michael Chirinos 2018 · A	18	41	37→40	51→55	50	193/251/266	73	225	4	11	16%	7%	47	-2.5	226/292/296	70	250	5	13	11%	8%	69	-0.9	236/307/298	61	253	5	16	8%	9%	76	-0.2
✕Robedluis Fuentes 2007 · A	18	40	38→30	54→45	37	197/239/278	81	273	6	11	30%	4%	45	-2.7	217/280/275	58	274	3	9	20%	6%	60	-1.6	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Bengie González 2009 · A	19	41→51	34→40	51→50	47	194/264/244	51	272	2	11	28%	8%	47	-2.5	207/258/252	45	280	1	12	25%	6%	46	-2.6	255/307/351	95	309	4	12	18%	7%	84	+0.1

Career Stats + Projections

Career Comps

Career Path Comps