Euri Rosa — OGILVIE

Euri RosaC ACL Dodgers

Age 19 R/R 5'10" / 165 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION58 act + 8 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%38

BB%12

BABIP261

ISO93

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 25 / POW 44

Toolsscout grade

CONTACT25

scouting grade only

POWER44

scouting grade only

EYE56

scouting grade only

SPEED55

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	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2024	17	ROK	DSL LAD Mega	—	92	76	13	3	1	1	12	29	4	6	0	171	315	276	592	105	261	32	13	284	78	-2	+1	—	—	+2	0.1
2025	18	ROK	DSL LAD Bautista	—	100	84	23	2	0	4	13	16	2	5	1	274	384	440	824	167	292	16	13	368	135	+4	+1	—	—	+2	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Mega	—	92	81	10	2	1	1	7	42	4	6	0	123	228	210	438	86	202	46	8	177	6	-10	+1	—	—	+2	-0.7
2025	18	ROK MLE	DSL LAD Bautista	—	100	89	17	1	0	3	8	23	2	5	1	191	273	303	576	112	213	23	8	254	58	-5	+1	—	—	+2	-0.2
2024	17	ROK MLE	DSL LAD Mega	—	92	81	10	2	1	1	7	42	4	6	0	123	228	210	438	86	237	46	8	177	6	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Mega	—	92	76	13	3	1	1	12	29	4	6	0	171	315	276	592	105	261	32	13	284	6	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Bautista	—	100	89	17	1	0	3	8	23	2	5	1	191	273	303	576	112	219	23	8	254	58	—	—	—	—	—	—
2025	18	ROK RAW	DSL LAD Bautista	—	100	84	23	2	0	4	13	16	2	5	1	274	384	440	824	167	292	16	13	368	58	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Mega	—	92	81	10	2	1	1	7	42	4	6	0	123	228	210	438	86	202	46	8	177	6	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Bautista	—	100	90	17	1	0	3	8	23	2	5	1	189	273	300	573	111	213	23	8	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL LAD Mega	—	92	81	10	2	1	1	7	42	4	6	0	123	228	210	438	86	202	46	8	177	6	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Bautista	—	100	90	17	1	0	3	8	23	2	5	1	189	273	300	573	111	213	23	8	254	58	—	—	—	—	—	—
YTD	19	ROK MLE	LAD	—	58	50	6	1	0	1	6	32	2	0	1	120	241	200	441	80	294	55	10	195	18	-6	-0	+0	+1	+1	-0.4
▸ 2026 season
YTD	19	ROK RAW	LAD	—	58	46	9	2	0	1	10	22	2	0	1	196	362	304	666	109	348	38	17	319	18	—	—	—	—	—	—
ROS	19	ROK MLE	LAD	0%	8	7	1	0	0	0	1	3	0	0	0	143	250	143	393		266	38	12	246	53	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	LAD	—	66	57	7	1	0	1	7	35	2	0	1	123	242	193	435	70	286	53	11	201	22	-6	-0	+0	+1	+1	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	LAD	34%	177	158	30	5	1	3	14	56	3	3	1	190	269	291	560	101	270	32	8	257	60	-8	+0	+0	+3	+4	-0.1
2028	21	MLB MLE	LAD	48%	314	280	55	9	2	6	26	97	5	6	2	196	277	307	584	111	273	31	8	266	66	-13	+0	+0	+6	+7	0.0
2029	22	MLB MLE	LAD	54%	415	370	74	13	2	8	35	126	7	9	3	200	282	311	592	111	274	30	8	271	70	-15	+1	+0	+7	+9	0.2
2030	23	MLB MLE	LAD	57%	482	431	87	15	3	10	40	144	8	10	3	202	282	320	602	118	276	30	8	274	72	-16	+1	+0	+9	+10	0.4
2031	24	MLB MLE	LAD	57%	520	463	94	16	3	11	44	155	8	11	3	203	283	322	605	119	277	30	8	276	73	-17	+1	+0	+9	+11	0.5
2032	25	MLB MLE	LAD	57%	520	463	94	16	3	11	44	155	8	11	3	203	283	322	605	119	277	30	8	276	73	-17	+1	+0	+9	+11	0.5
2033	26	MLB MLE	LAD	56%	520	463	94	16	3	11	44	155	8	11	3	203	283	322	605	119	276	30	8	276	73	-17	+1	+0	+9	+11	0.5
2034	27	MLB MLE	LAD	55%	520	462	94	16	3	11	45	156	8	11	3	203	285	323	608	119	276	30	9	276	73	-17	+1	+0	+9	+11	0.5
2035	28	MLB MLE	LAD	59%	520	462	94	16	3	11	45	156	8	11	3	203	285	323	608	119	275	30	9	275	73	-17	+1	-1	+9	+11	0.4
2036	29	MLB MLE	LAD	56%	520	462	93	16	3	11	45	157	8	11	3	201	283	320	604	119	275	30	9	273	71	-18	+1	-1	+9	+11	0.2
2027	20	MLB CTX	LAD	34%	61	55	10	2	0	1	5	19	1	1	0	182	262	273	535	91	265	31	8	244	60	-3	+0	+0	+1	+1	-0.0
2028	21	MLB CTX	LAD	48%	152	136	26	4	1	3	13	47	2	3	1	191	272	301	573	110	268	31	9	252	66	-6	+0	+0	+3	+3	0.0
2029	22	MLB CTX	LAD	54%	225	200	40	7	1	5	19	68	4	5	1	200	283	320	603	120	270	30	8	258	70	-8	+1	+0	+4	+5	0.1
2030	23	MLB CTX	LAD	57%	273	244	48	8	1	6	23	82	4	6	2	197	277	311	588	115	271	30	8	261	72	-9	+0	+0	+5	+6	0.2
2031	24	MLB CTX	LAD	57%	294	262	53	9	1	7	25	88	5	6	2	202	284	324	609	122	272	30	9	262	73	-10	+0	+0	+5	+6	0.2
2032	25	MLB CTX	LAD	57%	294	262	53	9	1	7	25	88	5	6	2	202	284	324	609	122	272	30	9	263	73	-9	+0	+0	+5	+6	0.3
2033	26	MLB CTX	LAD	56%	294	262	53	9	1	7	25	88	5	6	2	202	284	324	609	122	272	30	9	263	73	-9	+0	+0	+5	+6	0.3
2034	27	MLB CTX	LAD	55%	288	256	51	9	1	6	25	86	5	6	2	199	283	312	596	113	272	30	9	263	73	-9	+0	+0	+5	+6	0.3
2035	28	MLB CTX	LAD	59%	307	272	54	9	1	7	27	92	5	7	2	199	283	316	599	118	271	30	9	262	73	-10	+1	-0	+5	+7	0.2
2036	29	MLB CTX	LAD	56%	291	259	51	9	1	6	25	88	5	6	2	197	280	309	589	112	270	30	9	260	71	-10	+0	-1	+5	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2479	2208	439	75	9	55	212	746	41	52	16	199	281	316	597	117	271	30	9	261	70	-84	+4	-1	+44	+54	1.7
/ 162G	—	A+C		—	650	579	115	20	2	14	56	196	11	14	4	199	282	313	595	114	272	30	9	261	70	-22	+1	-0	+12	+14	0.4
Career	—	MLE		—	4708	4191	837	141	27	97	398	1425	77	105	28	200	281	316	597	116	275	30	8	271	70	-154	+8	-2	+81	+98	3.1
/ 162G	—	MLE		—	650	579	115	19	4	13	55	197	11	14	4	199	281	313	594	114	273	30	8	271	70	-22	+1	-0	+12	+14	0.4

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
#2Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Ronny 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
#5J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#6Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,566	53	54	202	280	319	+46	+24	3.4	3.2
/162	664	14	14	+11.9	+6.2	0.9	pk7: 3

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
Euri Rosa (OGILVIE)	19	20→25	39→44	50→55	56	180/259/270	90	266	1	1	33%	8%	53	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Enger Jimenez 2014 · A	19	34	41→40	47→50	35	176/222/272	96	262	8	9	35%	5%	37	-3.3	206/257/299	93	278	6	10	26%	5%	57	-1.8	216/268/312	96	280	5	12	23%	5%	61	-0.6
✕Miguel Rodriguez 2007 · A	20	35	37→45	48→45	34	175/223/246	71	263	5	6	34%	4%	32	-3.7	209/264/290	81	278	5	5	25%	5%	57	-1.8	217/275/301	85	280	4	3	23%	5%	63	-0.6
✕Jose Manuel Orozco 2010 · A	19	34	39→45	50→45	42	170/223/263	92	223	6	6	26%	6%	36	-3.4	208/253/303	95	284	8	7	28%	5%	56	-1.9	221/269/347	125	311	14	7	32%	5%	71	-0.3
✕Jonatan Santana 2007 · A	19	37	36→40	49→55	42	176/228/234	58	224	3	8	23%	5%	31	-3.7	198/259/261	63	244	3	12	19%	7%	49	-2.4	202/264/265	64	238	3	16	16%	7%	49	-0.7
✕Janelfry Zorrilla 2009 · A	18	36	35→45	49→50	37	176/225/233	57	258	2	11	31%	5%	29	-3.8	204/257/305	101	264	9	13	25%	5%	59	-1.7	211/269/340	130	255	14	15	23%	5%	70	-0.3
✕Luis Bandes 2015 · A	19	36	41→55	48→40	39	185/229/282	97	232	9	4	25%	4%	42	-2.9	210/244/319	109	250	12	4	21%	3%	57	-1.8	210/235/327	117	240	16	3	20%	2%	53	-0.6
✕Ryan Vega 2016 · A	19	40	35→40	52→45	41	190/245/253	62	253	3	9	25%	5%	42	-2.9	221/274/312	91	286	8	7	24%	6%	66	-1.1	200/263/287	87	275	8	6	29%	6%	56	-0.8
✕Albert Laboy 2006 · A	19	39→38	37→40	52→45	42	187/233/255	68	227	5	9	20%	4%	37	-3.3	210/254/295	85	254	8	8	20%	5%	55	-2.0	213/261/298	85	248	10	6	18%	5%	56	-1.0
✕Francisco Santana 2007 · A	19	35	35→50	49→55	38	172/227/228	56	258	3	6	33%	6%	29	-3.8	199/246/301	102	260	7	11	25%	5%	53	-2.1	188/226/302	114	244	8	12	26%	4%	43	-1.0
✕Sandy Santos 2014 · A	20	36	37→50	48→55	35	178/219/243	66	268	5	8	35%	5%	29	-3.8	191/253/279	88	277	7	11	32%	6%	51	-2.2	164/237/259	95	253	9	14	37%	7%	39	-1.0
✕Shalin Polanco 2023 · A	19	36→23	39→45	47→50	37	179/233/262	83	276	7	10	36%	6%	39	-3.1	183/245/304	121	293	13	12	40%	7%	54	-2.0	165/230/291	126	256	15	12	40%	7%	44	-1.6
✕Eliel Sierra 2007 · A	19	36	40	46→45	40	182/237/271	89	251	8	5	30%	6%	43	-2.8	186/263/265	79	241	5	7	23%	7%	53	-2.1	170/259/240	71	216	4	6	21%	8%	43	-1.2
✕Jefry Puente 2011 · A	19	34	34→45	49→50	42	165/238/215	50	261	2	9	35%	8%	32	-3.7	179/263/256	77	250	3	13	27%	9%	51	-2.3	160/256/245	84	217	2	18	25%	9%	44	-0.9
✕Roberto Perez 2008 · A	19	35	38→45	48→30	39	173/243/251	77	275	6	4	37%	7%	41	-3.0	184/250/278	94	251	10	3	29%	7%	50	-2.3	168/237/264	96	214	12	1	27%	7%	42	-1.0
✕Argenis Aldazoro 2013 · A	20	35	40→55	48→50	39	177/227/273	96	239	7	8	28%	5%	40	-3.1	204/239/315	111	271	10	8	28%	4%	53	-2.1	221/248/346	125	282	12	9	26%	4%	61	-0.5
✕Cristopher Cespedes 2017 · A	19	35→36	39→45	48→40	34	177/227/258	81	267	6	6	35%	4%	36	-3.3	205/253/310	105	285	8	6	30%	5%	58	-1.7	204/253/325	121	283	10	4	30%	5%	59	-0.5
✕Ignacio Valdez 2014 · A	19	38	36→45	49→50	39	180/242/249	69	280	3	11	35%	7%	40	-3.1	173/238/275	102	269	8	7	37%	7%	45	-2.7	141/208/262	122	210	12	5	38%	6%	30	-1.2
✕Kenny Hart 2009 · A	19	39	35→45	45→50	36	187/240/243	56	275	2	6	31%	4%	38	-3.2	206/286/294	88	287	6	9	28%	7%	68	-1.0	200/295/300	100	268	8	12	26%	8%	72	-0.2
✕Marino Campana 2017 · A	19	40→37	38→55	45	35	194/239/276	82	279	5	7	32%	4%	45	-2.7	195/241/307	112	285	11	4	34%	5%	53	-2.1	177/220/311	134	265	15	2	38%	4%	43	-1.3
✕Stanley Martinez 2016 · A	19	40	36→45	48→50	44	189/254/259	70	267	2	9	28%	7%	47	-2.6	203/274/293	90	276	7	8	27%	7%	63	-1.4	202/276/292	90	272	8	7	27%	7%	62	-0.5

Career Stats + Projections

Career Comps

Career Path Comps