Juarlin Soto — OGILVIE

Juarlin SotoSS DSL Blue Jays Blue

Age 19 L/R 6'0" / 170 lbs ROK HR +12%BB +4% Svc 0.0 · Ctrl thru 2037 peak 3.4 · 2033

wRC+†73

AVG/OBP/SLG.212 / .294 / .315

PA177

HR3

K%26

BB%9

MLB%0%

Scouting · now → future

HIT

35→35

PWR

25→25

SPD

40→40

EYE

63↘60

trajectory · 10 yrs

3.4peak

2033

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	Ext / FA-deal	$0.9M	+3.2	$31M	+$30M
2033	Ext / FA-deal	$1.0M	+3.4	$33M	+$32M
2034	Ext / FA-deal	$1.0M	+3.4	$34M	+$33M
2035	Ext / FA-deal	$7M	+3.2	$33M	+$27M
2036	Ext / FA-deal	$10M	+3.0	$32M	+$22M
2037	Ext / FA-deal	$14M	+2.7	$30M	+$16M
Totals		$34M		$194M	+$160M

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
2024	17	ROK	DSL Blue Jays	201	169	30	4	2	0	27	65	4	0	2	.178	.305	.225	.530	.047	.286	32	13	.250	50	-11	-1	+0	+2	+6	-0.5
2025	18	ROK	DSL Blue Jays Blue	208	175	25	6	0	2	23	46	6	1	0	.143	.265	.211	.476	.069	.176	22	11	.224	30	-17	+0	+0	+2	+6	-0.8
▸ 2026 Season
2026	19	MLB	TOR	177	157	33	6	1	3	16	47	2	2	1	.210	.291	.318	.610	.108	.283	27	9	.280	73	-5	+0	+0	+2	+5	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	20	MLB 11%	TOR	256	225	51	10	1	5	26	64	3	4	1	.227	.315	.347	.662	.120	.290	25	10	.302	89	-3	+0	+0	+3	+7	0.7
2028	21	MLB 28%	TOR	376	329	76	14	2	9	39	91	5	6	2	.231	.322	.368	.689	.137	.291	24	10	.312	97	-1	+0	+0	+4	+11	1.4
2029	22	MLB 48%	TOR	462	403	96	18	3	12	49	109	7	8	2	.238	.331	.387	.718	.149	.292	24	11	.319	102	+1	+1	+0	+5	+13	2.0
2030	23	MLB 65%	TOR	518	449	108	20	3	14	57	119	7	8	2	.241	.335	.392	.727	.151	.292	23	11	.325	107	+4	+1	+0	+6	+15	2.6
2031	24	MLB 82%	TOR	554	479	115	21	3	15	62	126	8	8	2	.240	.337	.390	.727	.150	.292	23	11	.329	110	+6	+1	+0	+6	+16	2.9
2032	25	MLB	TOR	576	497	120	22	3	16	66	130	8	8	2	.241	.340	.394	.734	.153	.293	23	11	.332	112	+8	+1	+0	+6	+16	3.2
2033	26	MLB	TOR	587	505	123	23	3	17	68	132	9	8	1	.244	.344	.402	.746	.158	.294	22	12	.334	114	+9	+1	+0	+6	+17	3.4
2034	27	MLB	TOR	589	506	123	23	3	17	69	133	9	8	1	.243	.344	.401	.745	.158	.294	23	12	.334	114	+9	+1	+0	+6	+17	3.4
2035	28	MLB	TOR	586	504	121	22	3	17	69	134	8	7	1	.240	.341	.397	.738	.157	.293	23	12	.333	113	+9	+1	-1	+6	+17	3.2
2036	29	MLB	TOR	577	495	119	22	3	16	69	133	8	7	0	.240	.343	.394	.737	.154	.292	23	12	.331	111	+7	+1	-1	+6	+16	3.0
2037	30	MLB	TOR	567	487	116	21	3	16	67	133	8	6	0	.238	.340	.392	.732	.154	.291	23	12	.328	109	+6	+1	-2	+6	+16	2.7
2038	31	MLB	TOR	553	474	111	20	3	15	66	132	8	5	0	.234	.338	.384	.722	.150	.290	24	12	.324	106	+4	+1	-3	+6	+16	2.4
2039	32	MLB	TOR	535	460	106	19	3	14	63	130	7	4	0	.230	.332	.376	.708	.146	.288	24	12	.319	102	+1	+1	-4	+6	+15	2.0
2040	33	MLB	TOR	505	433	98	18	2	12	60	126	7	4	0	.226	.330	.360	.690	.134	.286	25	12	.314	98	-1	+1	-4	+5	+14	1.6
2041	34	MLB	TOR	459	396	87	15	2	11	54	119	6	4	0	.220	.322	.351	.673	.131	.285	26	12	.307	93	-4	+1	-5	+5	+13	1.1
2042	35	MLB	TOR	403	348	75	13	2	9	47	108	5	4	0	.216	.318	.342	.659	.126	.282	27	12	.299	87	-6	+1	-6	+4	+11	0.5
2043	36	MLB	TOR	343	297	63	11	2	7	39	96	4	3	0	.212	.312	.333	.645	.121	.279	28	11	.291	81	-8	+1	-6	+4	+10	0.0
2044	37	MLB	TOR	279	242	48	8	1	5	32	81	3	3	0	.198	.300	.302	.601	.103	.275	29	11	.281	73	-8	+1	-7	+3	+8	-0.4
2045	38	MLB	TOR	210	182	35	6	1	3	23	62	3	2	0	.192	.293	.286	.579	.093	.270	30	11	.271	65	-8	+0	-8	+2	+6	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			9521	8212	1879	342	49	235	1091	2316	135	110	17	.229	.329	.368	.697	.139	.288	24	11	.315	99	-8	+15	-46	+102	+270	34.0
/ 162G	—			650	561	128	23	3	16	74	158	9	8	1	.228	.328	.365	.693	.137	.286	24	11	.315	99	-1	+1	-3	+7	+18	2.3

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
2024	17	ROK	DSL Blue Jays	201	152	38	6	2	0	44	43	4	0	2	.250	.430	.316	.746	.066	.345	21	22	.357	131	+7	-1	—	—	+6	1.2
2025	18	ROK	DSL Blue Jays Blue	208	162	35	9	0	2	36	30	6	1	0	.216	.377	.309	.686	.093	.246	14	17	.322	105	+1	+0	—	—	+6	0.7

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
Juarlin Soto (OGILVIE)	19	35	25	40	60	.212/.294/.315	.103	.283	3	2	26%	9%	73	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nelson Quiroz 2021 · A	19	44	37→40	47→40	45	.209/.268/.279	.070	.271	5	6	24%	7%	50	-1.7	.224/.289/.327	.103	.275	7	5	20%	8%	72	-0.2	.253/.306/.321	.068	.288	2	0	12%	6%	73	-0.0
✕Carlos Rodriguez 2022 · A	19	40	40→45	46→45	47	.186/.285/.282	.096	.298	8	6	36%	11%	61	-1.0	.184/.262/.261	.077	.294	6	6	36%	9%	44	-2.1	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Rochest Cruz 2018 · A	19	46	36→40	43→65	51	.215/.289/.286	.071	.269	3	9	20%	9%	62	-0.9	.214/.288/.281	.067	.273	3	31	21%	8%	60	-1.0	.205/.284/.259	.053	.265	2	47	21%	8%	50	-0.6
✕Angel Ortiz 2022 · A	19	42→40	41→50	46→40	44	.207/.262/.297	.091	.272	9	9	27%	7%	53	-1.5	.205/.256/.301	.096	.278	8	7	27%	6%	51	-1.7	.210/.263/.325	.115	.276	10	3	27%	6%	59	-0.6
✕Randel Alcantara 2016 · A	19	44	41→45	45	43	.210/.282/.319	.109	.281	7	6	27%	6%	68	-0.5	.197/.255/.304	.107	.262	9	6	27%	5%	53	-1.5	.132/.175/.242	.109	.157	14	3	27%	3%	1	-1.4
✕Daniel Vellojin 2019 · A	19	40	39→45	47→45	48	.192/.270/.277	.084	.265	6	7	28%	9%	52	-1.6	.212/.301/.309	.097	.270	7	8	22%	10%	74	-0.1	.195/.299/.312	.117	.259	12	6	27%	12%	71	-0.1
✕Ronarsy Ledesma 2012 · A	19	42	42→45	47→50	43	.205/.277/.309	.104	.271	9	8	27%	6%	64	-0.8	.224/.284/.326	.102	.290	5	11	24%	5%	70	-0.3	.226/.280/.337	.111	.291	6	11	23%	4%	69	-0.2
✕Randy Florentino 2019 · A	19	46	44→50	45	51	.220/.307/.353	.132	.309	10	8	30%	11%	87	+0.8	.194/.270/.290	.096	.293	8	5	33%	9%	56	-1.3	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Victor Arias 2022 · A	18	44→46	38→45	46→50	44	.204/.277/.282	.078	.314	6	9	34%	9%	56	-1.3	.209/.295/.306	.097	.329	7	14	35%	9%	70	-0.3	.219/.297/.335	.116	.314	10	18	31%	8%	75	+0.0
✕Canaan Smith-Njigba 2019 · A	20	45→47	41→45	46→55	51	.216/.301/.314	.097	.294	9	7	28%	10%	74	-0.1	.227/.294/.343	.116	.313	11	10	29%	8%	79	+0.3	.228/.299/.352	.124	.336	11	21	33%	9%	80	+0.2
✕Freizer Pedron 2006 · A	19	44	39→40	46→55	39	.209/.263/.293	.084	.303	7	12	32%	6%	52	-1.6	.221/.282/.295	.074	.295	3	15	24%	6%	61	-1.0	.240/.304/.313	.072	.307	1	23	20%	6%	72	-0.1
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	44	.199/.262/.281	.083	.258	5	7	24%	6%	50	-1.8	.211/.287/.284	.073	.267	5	9	21%	9%	61	-1.0	.221/.317/.274	.053	.274	5	10	19%	11%	69	-0.2
✕Jeffer Patino 2008 · A	19	47	37→45	44→45	47	.222/.285/.297	.075	.278	4	6	21%	7%	63	-0.9	.219/.278/.300	.081	.269	5	5	19%	7%	60	-1.0	.213/.266/.288	.075	.257	5	3	18%	6%	49	-0.5
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	52	.201/.283/.269	.068	.261	3	9	23%	10%	56	-1.3	.216/.295/.302	.086	.306	7	13	29%	10%	69	-0.4	.204/.285/.294	.090	.314	9	17	35%	10%	59	-0.4
✕Leopoldo Correa 2012 · A	20	44	41→45	40→30	48	.215/.280/.316	.100	.258	8	3	20%	7%	66	-0.6	.209/.264/.290	.081	.271	5	3	24%	6%	52	-1.6	.185/.234/.237	.052	.251	2	1	26%	5%	21	-0.8
✕Hendry Mendez 2023 · A	19	47→54	38→40	42→45	50	.222/.294/.299	.078	.277	6	6	21%	8%	67	-0.5	.230/.294/.318	.088	.284	7	5	20%	8%	72	-0.2	.244/.311/.341	.098	.292	8	5	19%	8%	82	+0.3
✕Alexander Campos 2018 · A	18	46	37→40	40→45	50	.215/.291/.285	.070	.280	4	8	23%	9%	63	-0.9	.194/.266/.263	.069	.302	4	9	34%	8%	46	-2.0	.211/.309/.291	.080	.290	8	4	27%	11%	71	-0.1
✕Felipe Burin 2011 · A	19	48	37→40	45	53	.224/.296/.297	.073	.257	4	5	14%	8%	67	-0.5	.231/.293/.301	.070	.298	2	4	21%	7%	66	-0.6	.232/.292/.295	.063	.306	1	3	23%	7%	63	-0.4
✕Manuel Joseph 2013 · A	19	46	40→45	44→50	45	.221/.275/.318	.097	.272	8	8	21%	6%	63	-0.8	.243/.298/.349	.106	.288	8	15	18%	6%	82	+0.5	.263/.321/.381	.118	.302	10	21	15%	5%	101	+0.8
✕Jon Del Campo 2007 · A	19	43	38→45	45→55	46	.207/.270/.286	.079	.275	6	6	26%	8%	53	-1.5	.206/.258/.287	.081	.298	4	5	30%	6%	48	-1.9	.267/.300/.379	.112	.337	12	18	24%	3%	90	+0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)