Jean Carlos Sio

IF Richmond Flying Squirrels

Age 23 L/R 5'10" / 200 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	A+SF	122	.279/.385/.423	3	3	88	—	.245/.344/.377
2025	21	ASF	385	.311/.399/.422	5	15	87	—	.266/.329/.343
2026	22	AASF	260	.226/.314/.412	11	8	68	—	.203/.275/.353
2026	22	A+SF	65	.310/.385/.552	4	1	103	—	.254/.323/.441
2027PROJ2% MLB	23	MLBSF	6	.217/.288/.341	0	0	82	0.0
2028PROJ39% MLB	24	MLBSF	158	.220/.292/.349	4	3	86	0.1
2029PROJ56% MLB	25	MLBSF	249	.222/.294/.353	6	5	88	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$0.8M2034Arb-2$0.4M+1

Skills · percentileMiLB Statcast 2026 AA

ISO70

Z-Con%62

Speed61

K%53

Whiff%51

wRC+46

Career WAR0 WAR median (P10 -0 / P90 8, comp-based) · star 2% · didn't stick 75%

CompsTroy Montgomery (age 23) · Jesus Romo (age 23) · Daryl Jones (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†82

AVG/OBP/SLG.217 / .288 / .341

PA6

HR0

K%33

BB%7

BABIP279

ISO125

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 60 / POW 30

Toolsscout grade

CONTACT60

scouting grade only

POWER30

scouting grade only

EYE45

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2031	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Arb-1	$0.8M	—	—	—
2034	Arb-2	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.7M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2022	18	ROK	DSL Giants Black	—	179	150	30	7	1	1	25	23	3	16	4	200	326	280	606	80	228	13	14	287	14	—	—	—	—	—	—
2023	19	ROK	ACL Giants Orange	—	215	179	49	5	2	3	31	32	2	8	2	274	387	374	761	101	313	15	14	346	55	—	—	—	—	—	—
2024	20	A	San Jose Giants	—	308	250	60	14	2	4	43	63	13	11	3	240	379	360	739	120	304	20	14	342	72	—	—	—	—	—	—
2025	21	A+	Eugene Emeralds	—	122	104	29	6	0	3	10	22	8	3	2	279	385	423	808	144	329	18	8	368	88	—	—	—	—	—	—
2025	21	A	San Jose Giants	—	385	334	104	16	3	5	46	46	3	15	5	311	399	422	822	111	349	12	12	370	87	—	—	—	—	—	—
2026	22	AA	Richmond Flying Squirrels	—	260	226	51	7	1	11	21	63	8	8	3	226	314	412	725	186	260	24	8	319	68	—	—	—	—	—	—
2026	22	A+	Eugene Emeralds	—	65	58	18	2	0	4	5	14	2	1	0	310	385	552	936	241	350	22	8	411	103	—	—	—	—	—	—
2026	22	ROK	ACL Giants	—	21	19	4	1	0	1	2	5	0	0	0	211	286	421	707	211	231	24	10	313	24	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL Giants Black	—	179	158	20	4	1	0	17	28	3	16	4	127	225	165	389	38	148	16	9	189	14	—	—	—	—	—	—
2023	19	ROK MLE	ACL Giants Orange	—	215	191	40	3	2	2	19	45	2	8	2	209	288	277	565	68	248	21	9	250	55	—	—	—	—	—	—
2024	20	A MLE	San Jose Giants	—	308	261	52	11	2	3	32	90	13	11	3	199	317	291	608	92	282	29	10	275	72	—	—	—	—	—	—
2025	21	A+ MLE	Eugene Emeralds	—	122	106	26	5	0	3	8	28	8	3	2	245	344	377	722	132	288	23	7	299	88	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	385	350	93	12	3	3	30	65	3	15	5	266	329	343	672	77	314	17	8	297	87	—	—	—	—	—	—
2026	22	AA MLE	Richmond Flying Squirrels	—	260	232	47	6	1	9	15	77	8	8	3	203	275	353	628	151	244	30	6	268	68	—	—	—	—	—	—
2026	22	A+ MLE	Eugene Emeralds	—	65	59	15	2	0	3	4	19	2	1	0	254	323	441	764	186	313	29	6	321	103	—	—	—	—	—	—
2026	22	ROK MLE	ACL Giants	—	21	20	3	1	0	1	1	7	0	0	0	150	190	350	540	200	174	33	5	203	24	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	179	158	20	4	1	0	17	28	3	16	4	127	225	165	389	38	153	16	9	189	14	—	—	—	—	—	—
2022	18	ROK RAW	DSL Giants Black	—	179	150	30	7	1	1	25	23	3	16	4	200	326	280	606	80	228	13	14	287	14	—	—	—	—	—	—
2023	19	ROK MLE	ACL Giants Orange	—	215	191	40	3	2	2	19	45	2	8	2	209	288	277	565	68	259	21	9	250	55	—	—	—	—	—	—
2023	19	ROK RAW	ACL Giants Orange	—	215	179	49	5	2	3	31	32	2	8	2	274	387	374	761	101	313	15	14	346	55	—	—	—	—	—	—
2024	20	A MLE	San Jose Giants	—	308	261	52	11	2	3	32	90	13	11	3	199	317	291	608	92	290	29	10	275	72	—	—	—	—	—	—
2024	20	A RAW	San Jose Giants	—	308	250	60	14	2	4	43	63	13	11	3	240	379	360	739	120	304	20	14	342	72	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	507	456	118	17	3	6	38	93	11	18	7	259	331	349	679	90	313	18	7	297	87	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	507	438	133	22	3	8	56	68	11	18	7	304	396	422	818	119	344	13	11	370	87	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	346	311	64	8	1	13	20	103	10	9	3	206	276	363	639	158	259	30	6	274	72	—	—	—	—	—	—
2026	22	AA RAW	3 teams	—	346	303	73	10	1	16	28	82	10	9	3	241	326	439	764	198	275	24	8	336	72	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	179	157	20	4	1	0	17	28	3	16	4	127	225	166	390	38	148	16	9	189	14	—	—	—	—	—	—
2023	19	ROK MLE	ACL Giants Orange	—	215	192	40	3	2	2	19	45	2	8	2	208	288	276	564	68	248	21	9	250	55	—	—	—	—	—	—
2024	20	A MLE	San Jose Giants	—	308	260	52	11	2	3	32	90	13	11	3	200	317	292	609	92	282	29	10	275	72	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	507	453	118	17	3	6	38	93	11	18	7	260	331	351	682	91	308	18	7	297	87	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	346	313	64	8	1	13	20	103	10	9	3	204	276	361	637	157	253	30	6	274	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A MLE	San Jose Giants	—	308	260	52	11	2	3	32	90	13	11	3	200	317	292	609	92	282	29	10	275	72	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	507	453	118	17	3	6	38	93	11	18	7	260	331	351	682	91	308	18	7	297	87	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	346	313	64	8	1	13	20	103	10	9	3	204	276	361	637	157	253	30	6	274	72	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	SF	2%	456	412	91	14	2	12	30	124	11	9	3	221	292	352	644	131	283	27	7	290	82	-10	+1	+0	+0	+10	0.3
▸ 2027 — real world (MLB)
2027	23	MLB CTX	SF	2%	6	6	1	0	0	0	0	2	0	0	0	217	288	341	629	124	279	33	0	284	82	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	SF	39%	409	368	83	13	2	11	28	109	10	8	3	225	296	360	657	136	285	27	7	295	86	-7	+0	+0	+0	+9	0.2
2029	25	MLB MLE	SF	56%	447	403	92	15	2	13	31	118	10	8	3	226	299	365	664	139	285	26	7	298	88	-7	+0	+0	+0	+10	0.4
2030	26	MLB MLE	SF	64%	470	423	95	15	2	13	33	123	11	9	3	227	300	367	667	140	285	26	7	299	89	-6	+1	+0	+0	+10	0.4
2031	27	MLB MLE	SF	66%	477	430	97	16	2	13	34	124	10	8	3	227	300	366	666	139	285	26	7	299	88	-7	+0	+0	+0	+10	0.4
2032	28	MLB MLE	SF	67%	477	430	97	16	2	13	34	125	10	7	3	226	299	364	663	137	285	26	7	297	87	-7	+0	-1	+0	+10	0.3
2033	29	MLB MLE	SF	66%	471	424	95	15	2	13	34	124	10	6	3	224	296	357	653	133	283	26	7	294	85	-8	+0	-1	+0	+10	0.0
2034	30	MLB MLE	SF	65%	462	417	93	15	2	12	33	123	9	4	3	221	293	349	642	129	281	27	7	289	82	-10	-0	-2	+0	+10	-0.3
2028	24	MLB CTX	SF	39%	158	142	32	5	1	4	11	42	4	3	1	220	292	349	641	129	280	27	7	289	86	-3	+0	+0	+0	+3	0.1
2029	25	MLB CTX	SF	56%	249	224	49	8	1	6	17	66	6	5	2	222	294	353	648	132	281	27	7	292	88	-4	+0	+0	+0	+5	0.2
2030	26	MLB CTX	SF	64%	300	269	60	10	1	8	21	78	7	5	2	223	296	355	651	133	281	26	7	293	89	-4	+0	+0	+0	+6	0.3
2031	27	MLB CTX	SF	66%	314	281	62	10	1	8	23	82	7	6	2	223	296	355	650	132	281	26	7	293	88	-4	+0	+0	+0	+7	0.3
2032	28	MLB CTX	SF	67%	319	286	64	11	1	8	23	83	7	5	2	222	295	352	647	131	280	26	7	291	87	-5	+0	-0	+0	+7	0.2
2033	29	MLB CTX	SF	66%	310	279	61	10	1	8	22	82	6	4	2	219	292	346	638	127	279	26	7	288	85	-6	+0	-1	+0	+7	0.0
2034	30	MLB CTX	SF	65%	301	271	59	10	1	7	21	80	6	3	2	217	289	339	627	122	277	27	7	283	82	-6	-0	-1	+0	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1951	1752	387	64	7	49	138	513	43	31	13	221	294	349	643	128	281	26	7	290	81	-31	+1	-3	+0	+42	0.9
/ 162G	—	A+C		—	650	584	128	21	2	16	46	171	14	10	4	219	292	344	636	125	279	26	7	290	81	-10	+0	-1	+0	+14	0.3
Career	—	MLE		—	5088	4560	1009	158	24	120	374	1292	117	118	42	221	297	345	642	124	280	25	7	287	81	-59	+2	-4	+0	+77	1.6
/ 162G	—	MLE		—	650	583	128	20	3	15	48	165	15	15	5	220	296	341	637	122	278	25	7	287	81	-11	+0	-1	+0	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Pete Coscarart'38-'46 * career totals — 8 seasons, 3,355 PA	5.1	3,355	28	34	235*	306*	367*	+17	-7	2.6	3.6
/162	664	6	7	+3.3	-1.4	0.5	pk7: 5
#4Sam Bohne'16-'26 * career totals — 6 seasons, 2,593 PA	3.9	2,593	16	75	230*	300*	367*	+13	+3	2.8	2.8
/162	664	4	19	+3.4	+0.8	0.7	pk7: 3
#5Ray Mack'38-'47 * career totals — 8 seasons, 3,016 PA	4.5	3,016	34	35	223*	288*	357*	+11	-7	1.7	2.7
/162	664	7	8	+2.4	-1.5	0.4	pk7: 4
#6Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.9	1,957	53	30	226	295	363	+0	+0	2.4	2.4
/162	664	18	10	+0.0	+0.0	0.8	pk7: 2

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
Jean Carlos Sio (OGILVIE)	23	60	30	50	45	219/290/349	130	283	8	6	27%	7%	82	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Troy Montgomery 2018 · AA	23	47→56	43→40	51→50	47	228/290/338	111	289	10	13	24%	8%	78	-0.3	229/298/316	87	319	6	12	27%	9%	76	-0.4	251/326/321	70	360	2	15	28%	10%	86	+0.2
●Jesus Romo 2007 · AAA	23	47→57	45→40	46→50	48	232/296/358	126	283	13	13	23%	8%	85	+0.2	230/288/310	80	267	6	12	15%	7%	70	-0.8	291/349/361	70	338	4	8	14%	8%	102	+0.9
✕Daryl Jones 2010 · AA	23	52→57	41→45	51→50	45	244/310/347	103	322	8	14	25%	7%	88	+0.4	222/289/327	105	294	9	12	26%	7%	76	-0.4	207/278/311	104	274	9	13	26%	7%	66	-0.6
✕Casey Craig 2008 · AA	23	49→51	45	50	47	242/302/367	125	298	12	14	23%	7%	89	+0.5	235/288/335	100	299	8	16	23%	6%	76	-0.4	236/281/315	79	301	6	19	23%	5%	68	-0.7
✕Carlos Alvarez 2011 · AAA	23	48	43→45	48→45	46	232/297/341	109	300	11	12	26%	8%	82	-0.0	237/302/364	127	300	12	10	24%	8%	88	+0.5	247/325/329	81	299	5	6	17%	9%	88	+0.2
✕Zach DeLoach 2022 · AA	23	46→52	46→45	45→50	43	224/288/360	136	312	13	7	31%	7%	83	+0.1	231/305/357	126	327	13	8	31%	9%	88	+0.5	232/310/351	119	331	12	10	31%	9%	87	+0.3
✕Adam Haseley 2019 · AA	23	54→58	42→45	46→50	44	263/309/363	101	319	9	6	20%	5%	91	+0.6	245/300/358	113	305	11	9	22%	6%	86	+0.3	221/277/333	112	271	11	14	22%	6%	71	-0.5
✕Drew Heid 2011 · A	23	51→57	42→40	44→50	47	250/302/351	101	293	11	7	19%	6%	85	+0.2	237/297/323	86	295	7	11	21%	7%	77	-0.3	239/305/327	88	302	7	13	22%	8%	78	-0.2
✕Ezequiel Pagan 2023 · A	23	48→54	45	52→50	44	239/289/363	124	283	12	9	20%	5%	84	+0.1	225/275/326	101	275	10	11	21%	5%	70	-0.9	214/263/307	93	263	9	11	22%	4%	58	-1.0
✕Marco Jaime 2019 · AAA	23	46→53	43→30	53→50	46	224/291/339	115	292	10	12	26%	8%	79	-0.2	236/292/314	78	294	3	12	20%	6%	73	-0.6	244/299/304	61	304	0	11	18%	6%	71	-0.6
✕Ramón Flores 2015 · AAA	23	50→59	43→45	48→50	50	241/304/359	118	295	9	8	21%	8%	88	+0.4	245/314/353	108	295	9	7	19%	9%	91	+0.6	255/328/354	99	304	9	8	18%	9%	94	+0.6
✕Canaan Smith-Njigba 2022 · AAA	23	51	44→45	53→55	48	238/314/354	116	337	11	15	30%	10%	91	+0.7	231/303/347	116	343	8	18	32%	9%	85	+0.2	221/294/336	115	330	8	20	32%	9%	76	-0.2
●Bryan Petersen 2009 · AA	23	47→57	50→45	48→50	44	240/298/383	143	300	19	14	26%	7%	92	+0.7	247/305/361	114	300	11	11	20%	7%	89	+0.5	256/320/369	113	307	9	11	19%	7%	96	+0.8
✕Mike Boeve 2024 · A	22	50→53	48→40	49→45	45	245/306/384	139	326	15	7	29%	8%	95	+1.0	258/322/359	101	337	8	8	24%	8%	95	+0.9	257/324/350	93	335	8	9	24%	8%	91	+0.4
✕Jeisson Rosario 2023 · AA	23	46→52	42→45	47→50	49	222/302/332	110	299	9	12	27%	10%	82	+0.0	211/297/314	103	314	9	12	32%	11%	76	-0.4	196/290/285	88	304	8	12	34%	11%	65	-0.7
✕Hector Hernandez 2006 · AAA	23	55→53	42→40	51→50	40	268/294/366	98	315	11	11	19%	3%	85	+0.2	253/286/338	85	294	7	11	16%	4%	76	-0.4	259/291/331	72	293	5	6	13%	4%	73	-0.3
✕Jesse Castillo 2006 · AAA	23	47→57	46→45	51→50	45	235/294/367	133	291	13	10	24%	6%	86	+0.3	268/335/357	89	331	5	6	19%	8%	99	+1.2	268/327/383	116	312	12	13	17%	8%	102	+1.2
✕Kyle Waldrop 2015 · AA	23	50→59	46→50	48→50	40	247/284/382	135	316	13	11	26%	5%	86	+0.3	232/267/335	103	303	9	6	26%	4%	68	-1.0	226/265/318	91	293	8	3	25%	4%	62	-1.1
✕Nick Allen 2022 · AAA	23	49→59	42→40	48→50	43	238/285/343	105	303	9	14	24%	6%	77	-0.3	238/293/332	94	285	8	15	18%	7%	78	-0.3	253/316/328	75	310	5	13	19%	8%	84	+0.1
●Sterlin Thompson 2024 · AA	23	48→58	47→50	52→50	43	238/297/373	135	302	14	14	26%	6%	90	+0.6	241/312/380	139	313	14	13	26%	7%	97	+1.1	249/331/393	144	321	14	15	25%	8%	103	+1.3

Jean Carlos Sio

Career Stats + Projections

Career Comps

Career Path Comps