Dilan Rosario — OGILVIE

Dilan RosarioSS Richmond Flying Squirrels

Age 25 R/R 6'0" / 185 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2034

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 136 proj PA

wRC+†70

AVG/OBP/SLG.209 / .276 / .322

PA11

HR0

K%29

BB%8

ISO113

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.6M	+$0.0M

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)
2019	18	ROK	AZL Giants Black	—	201	187	40	9	2	5	11	72	0	9	3	214	258	364	621	150	310	36	5	272	70	-7	+1	—	—	+4	-0.2
2021	20	ROK	ACL Giants Black	—	178	158	33	5	3	2	19	59	0	1	3	209	294	316	610	108	316	33	11	278	74	-5	-1	—	—	+4	-0.3
2022	21	A	San Jose Giants	—	195	162	35	2	1	2	28	59	3	4	3	216	342	278	620	62	324	30	14	294	85	-4	-0	—	—	+4	0.0
2022	21	ROK	ACL Giants Black	—	120	104	23	8	0	2	15	41	1	1	2	221	325	356	681	135	344	34	12	312	97	-0	-1	—	—	+3	0.2
2022	21	INTL	RA12	—	100	89	15	2	1	1	8	29	0	0	1	169	237	247	484	79	233	29	8	218	34	-8	-0	—	—	+2	-0.6
2023	22	A	San Jose Giants	—	225	207	52	9	2	4	11	65	4	7	2	251	302	372	674	121	340	29	5	299	88	-3	+1	—	—	+5	0.2
2024	23	AA	Richmond Flying Squirrels	—	97	81	15	2	1	1	15	29	0	4	1	185	312	272	584	86	269	30	15	275	72	-3	+0	—	—	+2	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	18	ROK MLE	AZL Giants Black	—	201	191	24	5	1	3	7	104	0	9	3	126	157	209	366	84	228	52	3	159	-6	-25	+1	—	—	+4	-2.1
2021	20	ROK MLE	ACL Giants Black	—	178	165	21	3	2	1	12	89	0	1	3	127	186	188	374	61	251	50	7	166	-1	-21	-1	—	—	+4	-1.9
2022	21	A MLE	San Jose Giants	—	195	171	30	2	1	2	19	84	3	4	3	175	269	234	503	58	305	43	10	221	36	-15	-0	—	—	+4	-1.1
2022	21	ROK MLE	ACL Giants Black	—	120	110	14	5	0	1	9	59	1	1	2	127	200	200	400	73	254	49	8	186	12	-13	-1	—	—	+3	-1.1
2023	22	A MLE	San Jose Giants	—	225	210	38	6	1	4	8	93	4	7	2	181	225	276	501	95	289	41	4	219	34	-18	+1	—	—	+5	-1.2
2024	23	AA MLE	Richmond Flying Squirrels	—	97	86	15	2	1	1	10	35	0	4	1	174	260	256	516	81	254	36	10	226	39	-7	+0	—	—	+2	-0.5
2019	18	ROK MLE	AZL Giants Black	—	201	191	24	5	1	3	7	104	0	9	3	126	157	209	366	84	241	52	3	159	-6	—	—	—	—	—	—
2019	18	ROK RAW	AZL Giants Black	—	201	187	40	9	2	5	11	72	0	9	3	214	258	364	621	150	310	36	5	272	-6	—	—	—	—	—	—
2021	20	ROK MLE	ACL Giants Black	—	178	165	21	3	2	1	12	89	0	1	3	127	186	188	374	61	263	50	7	166	-1	—	—	—	—	—	—
2021	20	ROK RAW	ACL Giants Black	—	178	158	33	5	3	2	19	59	0	1	3	209	294	316	610	108	316	33	11	278	-1	—	—	—	—	—	—
2022	21	A MLE	3 teams	—	415	369	56	8	1	4	37	188	4	5	6	152	237	211	448	60	291	45	9	208	27	—	—	—	—	—	—
2022	21	A RAW	3 teams	—	415	355	73	12	2	5	51	129	4	5	6	206	312	293	605	87	305	31	12	281	27	—	—	—	—	—	—
2023	22	A MLE	San Jose Giants	—	225	210	38	6	1	4	8	93	4	7	2	181	225	276	501	95	293	41	4	219	34	—	—	—	—	—	—
2023	22	A RAW	San Jose Giants	—	225	207	52	9	2	4	11	65	4	7	2	251	302	372	674	121	340	29	5	299	34	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	97	86	15	2	1	1	10	35	0	4	1	174	260	256	516	81	275	36	10	226	39	—	—	—	—	—	—
2024	23	AA RAW	Richmond Flying Squirrels	—	97	81	15	2	1	1	15	29	0	4	1	185	312	272	584	86	269	30	15	275	39	—	—	—	—	—	—
2019	18	ROK MLE	AZL Giants Black	—	201	192	24	5	1	3	7	104	0	9	3	125	157	208	365	83	228	52	3	159	-6	—	—	—	—	—	—
2021	20	ROK MLE	ACL Giants Black	—	178	164	21	3	2	1	12	89	0	1	3	128	186	189	375	61	251	50	7	166	-1	—	—	—	—	—	—
2022	21	A MLE	3 teams	—	415	371	56	8	1	4	37	188	4	5	6	151	237	210	447	59	286	45	9	208	27	—	—	—	—	—	—
2023	22	A MLE	San Jose Giants	—	225	211	38	6	1	4	8	93	4	7	2	180	225	275	500	95	289	41	4	219	34	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	97	87	15	2	1	1	10	35	0	4	1	172	260	253	513	80	254	36	10	226	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A MLE	San Jose Giants	—	225	211	38	6	1	4	8	93	4	7	2	180	225	275	500	95	289	41	4	219	34	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	97	87	15	2	1	1	10	35	0	4	1	172	260	253	513	80	254	36	10	226	39	—	—	—	—	—	—
▸ 2026 season
2026	25	MLB MLE	SF	2%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		284	27	9	272	70	-0	+0	+0	+0	+0	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	SF	31%	231	209	45	8	1	5	18	65	2	4	1	215	284	335	619	120	285	28	8	280	76	-7	+0	+0	+2	+5	0.1
2028	27	MLB MLE	SF	42%	291	263	58	11	2	6	23	80	3	6	1	221	291	346	637	125	285	27	8	283	78	-8	+1	+0	+3	+6	0.3
2029	28	MLB MLE	SF	48%	332	299	65	12	2	7	27	91	3	6	2	217	289	341	630	124	285	27	8	285	79	-8	+0	-1	+4	+7	0.2
2030	29	MLB MLE	SF	49%	350	316	69	13	2	8	28	96	3	6	1	218	288	348	636	130	285	27	8	284	78	-9	+1	-1	+4	+8	0.2
2031	30	MLB MLE	SF	50%	362	327	71	13	2	8	29	101	3	6	1	217	287	343	629	125	284	28	8	281	77	-10	+1	-2	+4	+8	0.0
2027	26	MLB CTX	SF	31%	72	65	13	3	0	1	6	20	1	1	0	200	278	292	570	92	280	28	8	267	76	-2	+0	+0	+1	+2	0.0
2028	27	MLB CTX	SF	42%	122	110	23	4	1	2	10	34	1	2	1	209	281	318	599	109	280	28	8	270	78	-3	+0	+0	+1	+3	0.1
2029	28	MLB CTX	SF	48%	159	144	31	6	1	3	13	44	1	3	1	215	285	333	618	118	280	28	8	271	79	-4	+0	-0	+2	+3	0.1
2030	29	MLB CTX	SF	49%	173	155	33	6	1	3	14	48	2	3	1	213	287	323	609	110	280	28	8	271	78	-4	+0	-1	+2	+4	0.1
2031	30	MLB CTX	SF	50%	182	163	35	6	1	4	15	51	2	3	1	215	289	337	626	123	279	28	8	268	77	-5	+0	-1	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	708	637	135	25	4	13	58	197	7	12	4	212	285	325	610	113	283	28	8	270	53	-19	+1	-2	+8	+15	0.3
/ 162G	—	A+C		—	650	585	124	23	4	12	53	181	6	11	4	212	284	326	611	115	283	28	8	270	53	-17	+1	-2	+7	+14	0.3
Career	—	MLE		—	2693	2445	463	81	15	47	200	945	22	54	21	189	257	292	549	103	283	35	7	247	53	-42	+3	-4	+17	+34	0.8
/ 162G	—	MLE		—	650	590	112	20	4	11	48	228	5	13	5	190	256	293	549	103	285	35	7	247	53	-17	+1	-2	+7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ronny 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
#2Yolmer 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
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.1	710	15	12	218	285	343	+8	+6	1.0	1.0
/162	664	14	12	+7.1	+5.6	0.9	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Dilan Rosario (OGILVIE)	25	—	—	—	—	209/276/322	112	284	2	3	29%	8%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Maverick Handley 2023 · AA	25	39	44→40	50	44	196/280/314	118	270	12	12	31%	8%	70	-0.8	201/290/289	88	281	7	11	29%	9%	68	-1.0	190/279/259	68	265	4	8	27%	9%	56	-0.7
✕Andrew Navigato 2022 · AA	24	41→40	44→55	46→50	44	203/280/318	115	282	11	13	30%	8%	71	-0.8	217/276/370	153	271	17	14	26%	6%	81	-0.1	214/273/383	169	262	19	17	26%	6%	81	-0.1
✕Yu Chang 2021 · MLB	25	43→44	44→50	47→45	42	214/273/333	120	291	12	7	30%	7%	71	-0.8	223/279/380	157	291	18	7	29%	6%	84	+0.2	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Sean Jamieson 2014 · A	25	43→45	43→45	50	44	212/278/331	119	279	10	12	27%	7%	72	-0.7	231/289/332	101	313	8	9	27%	6%	76	-0.4	234/293/322	88	321	6	7	27%	6%	72	-0.4
✕Jake Rogers 2019 · AA	24	37→40	46→55	48→45	41	194/258/325	131	264	14	9	32%	7%	64	-1.3	204/278/363	159	283	19	5	33%	8%	81	-0.1	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Kyle Datres 2021 · A	25	42	47→50	52→55	42	211/281/355	143	283	14	15	30%	7%	80	-0.2	210/290/349	139	286	16	22	31%	8%	82	-0.0	203/288/338	135	274	17	27	31%	9%	77	-0.2
✕Willie MacIver 2022 · AA	25	37→35	45→50	51→55	39	190/251/306	117	268	13	16	34%	6%	57	-1.8	204/278/330	126	297	13	15	34%	8%	73	-0.6	231/310/361	130	325	12	18	30%	8%	89	+0.3
✕Taylor Featherston 2016 · MLB	26	42→47	46→50	50	39	212/257/343	130	272	13	12	27%	4%	67	-1.1	198/251/312	114	276	11	11	31%	5%	58	-1.7	184/241/291	108	266	11	12	34%	5%	48	-1.6
✕Ryan Ortiz 2013 · AA	25	41	43→45	48→40	50	203/291/309	106	270	11	5	27%	10%	73	-0.6	200/288/296	96	279	8	4	29%	10%	70	-0.9	186/284/271	85	264	7	0	29%	10%	59	-0.8
✕Chase Strumpf 2022 · AA	24	42→37	43→50	48→45	46	203/285/317	113	292	10	7	32%	9%	72	-0.7	194/293/340	146	311	17	5	39%	10%	82	-0.0	178/283/325	147	289	18	3	41%	11%	72	-0.5
✕Jake Lemmerman 2014 · AA	25	44→50	42→45	52→45	47	212/290/316	104	285	9	10	27%	8%	74	-0.5	197/267/304	107	276	10	9	30%	8%	63	-1.4	149/219/243	95	207	9	4	32%	8%	29	-1.6
✕Jeferson Morales 2023 · A	24	38→48	46→45	49→50	43	193/273/321	128	259	13	9	30%	7%	70	-0.9	215/289/341	126	276	12	9	25%	7%	79	-0.2	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Rylan Bannon 2021 · AAA	25	44	46→50	45→50	46	219/284/352	133	275	13	7	25%	8%	80	-0.2	191/272/326	135	244	16	12	28%	9%	70	-0.8	191/289/327	136	253	16	12	29%	11%	75	-0.4
✕Zack Short 2019 · AA	24	39	47→50	47→45	50	199/289/337	139	266	14	9	29%	10%	79	-0.2	195/287/330	135	276	14	7	32%	10%	77	-0.3	177/277/301	125	240	14	9	31%	11%	65	-0.9
✕Cody Cipriano 2010 · AA	25	45→48	42→45	48→45	47	217/292/333	116	297	8	9	28%	8%	78	-0.3	224/288/328	104	320	8	9	30%	7%	75	-0.5	237/306/333	96	332	6	7	28%	8%	81	-0.0
✕Mark Mathias 2020 · AAA	25	44→46	44→50	53→50	47	218/287/341	123	275	10	13	24%	8%	78	-0.3	237/301/375	138	306	14	16	26%	7%	91	+0.7	250/337/379	129	345	16	20	29%	10%	104	+0.8
✕Brandon Hicks 2011 · AAA	25	38→40	44→50	51→50	39	193/251/307	114	272	12	15	33%	6%	57	-1.8	199/261/336	137	306	16	11	38%	7%	68	-1.0	179/258/334	155	270	19	6	39%	8%	63	-0.9
✕Jackson Brennan 2008 · A	25	44→42	42→45	47→50	47	211/303/316	105	285	9	10	27%	8%	80	-0.2	211/299/300	89	300	7	10	29%	9%	74	-0.5	171/289/188	17	273	0	6	32%	12%	44	-0.5
✕Coco Montes 2023 · AAA	26	41→46	47→50	51→50	41	206/270/345	139	289	14	10	33%	7%	73	-0.6	224/289/358	134	318	14	10	32%	8%	83	+0.1	222/287/346	124	316	12	9	32%	7%	77	-0.3
✕Matt Macri 2007 · AA	25	43→40	44→50	44→45	42	217/273/334	118	281	12	6	27%	6%	72	-0.7	222/269/361	139	283	14	6	26%	5%	76	-0.4	213/260/356	144	268	14	6	26%	5%	69	-0.6

Career Stats + Projections

Career Comps

Career Path Comps