Dario Reynoso — OGILVIE

Dario Reynoso3B San Jose Giants

Age 21 R/R 5'10" / 183 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION460 act + 9 ros · stats below = ROS only

showingROS

wRC+†77

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%44

BB%11

BABIP327

ISO124

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$28M ctrl surplus

Tools · ContractCON 40 / POW 55

Toolsscout grade

CONTACT40

scouting grade only

POWER55

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2035	Arb-2	$4M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$3M		$8M	+$4M

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)
2023	18	ROK	DSL Giants Orange	—	137	104	30	8	1	3	30	41	3	12	0	288	460	471	931	183	450	30	22	420	170	+11	+2	—	—	+3	1.7
2024	19	ROK	ACL Giants	—	202	155	32	7	1	3	41	75	4	8	3	206	385	323	708	116	367	37	20	334	112	+3	+0	—	—	+4	0.8
2025	20	A	San Jose Giants	—	57	47	6	3	0	0	10	22	0	2	0	128	281	191	472	64	240	39	18	238	47	-4	+0	—	—	+1	-0.2
2025	20	ROK	ACL Giants	—	227	178	53	12	2	10	40	72	7	18	5	298	444	556	1.001	258	443	32	18	435	181	+22	+2	—	—	+5	2.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Giants Orange	—	137	116	24	6	1	2	18	59	3	12	0	207	328	328	656	121	380	43	13	288	81	-3	+2	—	—	+3	0.2
2024	19	ROK MLE	ACL Giants	—	202	172	23	5	1	2	24	108	4	8	3	134	255	209	464	76	298	53	12	209	28	-17	+0	—	—	+4	-1.3
2025	20	A MLE	San Jose Giants	—	57	50	4	2	0	0	7	31	0	2	0	80	193	120	313	40	195	54	12	151	-12	-8	+0	—	—	+1	-0.6
2025	20	ROK MLE	ACL Giants	—	227	195	39	9	1	6	23	99	7	18	5	200	307	349	655	149	343	44	10	288	81	-5	+2	—	—	+5	0.1
2023	18	ROK MLE	DSL Giants Orange	—	137	116	24	6	1	2	18	59	3	12	0	207	328	328	656	121	400	43	13	288	81	—	—	—	—	—	—
2023	18	ROK RAW	DSL Giants Orange	—	137	104	30	8	1	3	30	41	3	12	0	288	460	471	931	183	450	30	22	420	81	—	—	—	—	—	—
2024	19	ROK MLE	ACL Giants	—	202	172	23	5	1	2	24	108	4	8	3	134	255	209	464	76	328	53	12	209	28	—	—	—	—	—	—
2024	19	ROK RAW	ACL Giants	—	202	155	32	7	1	3	41	75	4	8	3	206	385	323	708	116	367	37	20	334	28	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	284	245	42	10	1	6	30	130	7	20	5	171	280	294	574	122	327	46	11	261	62	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	284	225	59	15	2	10	50	94	7	20	5	262	411	480	891	218	402	33	18	395	62	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Orange	—	137	115	24	6	1	2	18	59	3	12	0	209	328	330	659	122	380	43	13	288	81	—	—	—	—	—	—
2024	19	ROK MLE	ACL Giants	—	202	172	23	5	1	2	24	108	4	8	3	134	255	209	464	76	298	53	12	209	28	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	284	245	42	10	1	6	30	130	7	20	5	171	280	294	574	122	313	46	11	261	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Giants Orange	—	137	115	24	6	1	2	18	59	3	12	0	209	328	330	659	122	380	43	13	288	81	—	—	—	—	—	—
2024	19	ROK MLE	ACL Giants	—	202	172	23	5	1	2	24	108	4	8	3	134	255	209	464	76	298	53	12	209	28	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	284	245	42	10	1	6	30	130	7	20	5	171	280	294	574	122	313	46	11	261	62	—	—	—	—	—	—
YTD	21	A MLE	SF	—	460	403	83	20	3	12	51	205	4	21	6	206	301	360	661	154	380	45	11	288	81	-10	+2	+0	+2	+10	0.3
▸ 2026 season
YTD	21	A RAW	SF	—	460	383	105	27	4	15	71	153	4	21	6	274	393	483	876	209	417	33	15	387	81	—	—	—	—	—	—
ROS	21	A MLE	SF	0%	9	8	1	0	0	0	1	4	0	0	0	125	222	125	347		334	44	11	282	77	-0	+0	+0	+0	+0	-0.0
TOT	21	A MLE	SF	—	469	411	84	20	3	12	52	209	4	21	6	204	300	355	655	151	377	45	11	288	81	-11	+2	+0	+2	+10	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	SF	34%	422	369	72	16	2	11	46	174	4	11	3	195	291	339	630	144	331	41	11	290	82	-9	+1	+0	+2	+9	0.3
2028	23	MLB MLE	SF	48%	476	416	85	19	2	14	52	188	5	12	3	204	300	361	661	156	328	39	11	300	89	-6	+1	+0	+2	+10	0.7
2029	24	MLB MLE	SF	53%	572	499	104	22	3	18	62	220	6	14	4	208	303	373	676	164	326	38	11	306	93	-5	+1	+0	+2	+12	1.1
2030	25	MLB MLE	SF	55%	571	498	106	22	3	19	62	217	6	14	4	213	307	384	691	171	325	38	11	310	96	-3	+1	+0	+2	+12	1.3
2031	26	MLB MLE	SF	56%	567	494	106	22	3	20	62	215	6	14	4	215	310	393	702	178	325	38	11	311	97	-2	+1	+0	+2	+12	1.4
2032	27	MLB MLE	SF	55%	560	487	104	22	3	19	62	213	6	14	4	214	310	388	698	175	325	38	11	311	97	-2	+1	+0	+2	+12	1.3
2033	28	MLB MLE	SF	55%	551	479	102	21	3	19	61	210	6	13	4	213	310	388	698	175	325	38	11	310	96	-3	+1	-1	+2	+12	1.2
2034	29	MLB MLE	SF	53%	542	472	98	21	2	18	60	208	5	12	3	208	304	375	679	167	322	38	11	307	94	-4	+1	-1	+2	+12	1.0
2035	30	MLB MLE	SF	53%	532	463	96	20	2	18	59	205	5	11	3	207	304	376	679	168	318	39	11	304	92	-5	+1	-2	+2	+12	0.7
2036	31	MLB MLE	SF	52%	490	427	87	18	2	16	55	191	5	10	3	204	302	368	670	164	315	39	11	300	89	-6	+1	-3	+2	+11	0.4
2037	32	MLB MLE	SF	52%	471	411	82	17	2	15	52	185	5	9	2	200	297	360	657	161	311	39	11	294	85	-8	+1	-4	+2	+10	0.1
2027	22	MLB CTX	SF	34%	145	127	25	5	1	4	16	60	1	4	1	197	292	346	638	150	324	41	11	276	82	-3	+0	+0	+1	+3	0.1
2028	23	MLB CTX	SF	48%	231	202	40	9	1	6	25	91	2	6	2	198	293	342	634	144	320	39	11	285	89	-3	+0	+0	+1	+5	0.3
2029	24	MLB CTX	SF	53%	302	263	55	12	2	9	33	116	3	8	2	209	304	373	677	163	319	38	11	291	93	-2	+1	+0	+1	+7	0.6
2030	25	MLB CTX	SF	55%	312	272	57	12	2	10	34	118	3	8	2	210	304	379	683	169	318	38	11	294	96	-2	+1	+0	+1	+7	0.7
2031	26	MLB CTX	SF	56%	316	276	58	12	2	10	34	120	3	8	2	210	304	377	680	167	318	38	11	296	97	-1	+1	+0	+1	+7	0.8
2032	27	MLB CTX	SF	55%	308	268	57	12	2	10	34	117	3	8	2	213	308	384	693	172	318	38	11	296	97	-1	+1	+0	+1	+7	0.8
2033	28	MLB CTX	SF	55%	301	262	54	11	1	10	33	115	3	7	2	206	302	370	672	164	317	38	11	295	96	-1	+1	-0	+1	+7	0.7
2034	29	MLB CTX	SF	53%	289	252	51	11	1	9	32	111	3	7	2	202	300	361	661	159	314	38	11	292	94	-2	+1	-1	+1	+6	0.5
2035	30	MLB CTX	SF	53%	280	244	49	10	1	9	31	108	3	6	2	201	299	361	659	160	311	39	11	289	92	-3	+0	-1	+1	+6	0.4
2036	31	MLB CTX	SF	52%	255	222	44	9	1	8	28	99	3	5	1	198	296	356	652	158	308	39	11	285	89	-3	+1	-1	+1	+6	0.2
2037	32	MLB CTX	SF	52%	244	213	41	8	1	7	27	96	2	5	1	192	289	338	627	146	304	39	11	280	85	-4	+1	-2	+1	+5	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2983	2601	531	111	15	92	327	1151	29	72	19	204	300	364	664	160	320	39	11	290	89	-26	+7	-6	+11	+65	5.1
/ 162G	—	A+C		—	650	567	115	24	3	20	71	251	6	16	4	203	298	362	659	159	318	39	11	290	89	-6	+1	-1	+2	+14	1.1
Career	—	MLE		—	6386	5556	1132	241	30	197	706	2527	73	174	45	204	302	364	666	161	326	40	11	299	89	-54	+12	-10	+21	+125	9.5
/ 162G	—	MLE		—	650	566	116	25	3	20	72	257	7	18	5	205	302	366	668	161	329	40	11	299	89	-6	+1	-1	+2	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#3Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#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 7 projected seasons	5.0	3,303	105	78	206	299	370	+1	+0	5.7	5.4
/162	664	21	16	+0.2	+0.0	1.2	pk7: 5
#5Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#6Dustin 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

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
Dario Reynoso (OGILVIE)	21	40	55	60	60	189/287/327	138	334	8	12	43%	11%	77	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2023 · A	20	38→41	47→50	53→55	46	189/281/323	135	287	14	16	37%	10%	73	-0.6	211/290/332	121	325	11	16	35%	9%	78	-0.3	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Romy Gonzalez 2019 · A	22	39→44	47→50	53→55	34	193/243/327	134	308	14	10	41%	6%	59	-1.7	201/257/316	115	309	11	12	36%	6%	61	-1.5	277/323/436	159	352	16	16	25%	6%	111	+0.9
✕Daz Cameron 2018 · A	21	40→45	45→50	53→55	40	202/262/329	127	284	11	19	32%	6%	66	-1.1	201/268/318	117	295	9	17	33%	7%	66	-1.1	225/296/393	168	284	19	27	27%	8%	91	+0.3
✕Max Muncy 2023 · A	20	38→46	48→55	50	40	190/265/329	140	297	16	12	39%	8%	68	-1.0	213/277/339	126	322	13	9	36%	7%	74	-0.5	226/292/386	160	309	20	5	32%	6%	89	+0.3
✕Casper Wells 2006 · A	21	41→44	43→60	55→50	33	178/255/293	115	350	9	9	48%	7%	56	-1.9	200/277/333	133	306	13	11	37%	7%	74	-0.6	222/294/415	193	276	22	7	27%	8%	95	+0.6
✕Akil Baddoo 2021 · A	22	41→51	42→50	55	42	196/264/310	113	305	9	14	36%	8%	62	-1.4	239/314/383	144	319	14	21	27%	10%	98	+1.2	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Keon Broxton 2011 · A	21	37→47	41→55	54→60	35	178/232/287	109	302	7	10	41%	6%	45	-2.7	196/253/296	100	314	9	15	38%	7%	55	-2.0	224/300/388	164	339	17	38	36%	9%	92	+0.6
●Jerry Sands 2009 · A	21	35→45	50→60	51→45	45	191/275/338	147	260	19	8	33%	9%	74	-0.5	230/295/419	189	285	24	6	28%	8%	100	+1.3	230/295/426	197	277	25	7	26%	8%	100	+1.2
●Lewis Brinson 2014 · A	20	36→46	46→55	52→50	31	175/230/300	125	322	14	14	48%	6%	48	-2.5	224/274/371	147	327	16	14	35%	6%	80	-0.2	239/290/412	173	299	19	17	26%	6%	93	+0.6
✕Sean Henry 2006 · A	20	42→52	43→50	55	42	204/270/313	108	299	11	15	34%	8%	65	-1.2	227/282/353	126	289	11	19	24%	6%	78	-0.3	248/301/372	124	296	11	17	19%	6%	87	+0.3
✕Troy Schreffler Jr. 2023 · A	22	46	40→50	53→60	38	204/276/301	98	346	7	11	40%	7%	65	-1.2	205/276/322	117	318	12	23	37%	8%	70	-0.9	186/254/300	114	289	12	29	38%	7%	56	-0.7
✕Kevin Alcántara 2023 · A	21	47→50	47→50	53→50	39	225/283/363	138	337	15	9	36%	7%	82	-0.0	227/280/351	124	335	13	12	34%	7%	78	-0.3	225/288/360	135	327	17	12	35%	8%	79	-0.1
✕Drew Stubbs 2007 · A	22	42→52	41→50	54→60	41	199/272/296	98	308	9	15	36%	8%	63	-1.4	220/289/326	106	323	8	21	32%	8%	75	-0.5	240/313/368	127	325	14	37	28%	9%	90	+0.7
✕Thomas Saggese 2022 · A	20	43→53	47→50	51→50	42	205/281/343	138	324	14	12	39%	9%	77	-0.3	232/283/377	145	316	15	10	30%	6%	84	+0.2	235/288/363	129	315	14	8	29%	5%	82	-0.0
✕A.J. Vukovich 2022 · A	21	43→51	46→50	51→55	34	214/255/339	125	314	14	13	36%	4%	65	-1.2	217/258/346	129	312	15	18	34%	5%	68	-1.0	231/284/378	147	335	17	2	35%	6%	82	+0.0
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Travis Demeritte 2016 · A	21	39→44	46→55	51→50	36	180/252/308	128	332	14	9	47%	8%	59	-1.7	188/252/333	145	301	16	9	40%	7%	63	-1.3	205/271/367	162	301	19	9	36%	8%	76	-0.3
✕Coby Mayo 2023 · AA	21	42→45	50→60	51→45	41	217/278/369	152	291	18	8	31%	7%	82	-0.0	222/298/396	174	297	20	5	30%	9%	95	+1.0	216/298/397	181	285	21	4	30%	9%	93	+0.7
✕Tucker Mitchell 2023 · A	22	38	43→45	51→45	35	181/259/287	106	307	11	11	42%	7%	57	-1.8	200/265/308	108	290	13	7	34%	6%	63	-1.4	190/248/282	93	268	12	5	33%	5%	49	-1.0
✕Clint Frazier 2016 · A	21	44→46	44→55	47→50	40	213/274/332	119	314	11	9	34%	7%	71	-0.8	225/282/368	143	304	14	11	29%	7%	82	+0.0	235/306/410	175	299	20	6	27%	8%	98	+0.6

Career Stats + Projections

Career Comps

Career Path Comps