Erny Orellana — OGILVIE

Erny OrellanaOF DSL LAD Mega

Age 19 R/R 6'0" / 183 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION181 act + 18 ros · stats below = ROS only

showingROS

wRC+†71

AVG/OBP/SLG.176 / .222 / .235

PA18

HR0

K%22

BB%6

BABIP249

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 40 / POW 40

Toolsscout grade

CONTACT40

scouting grade only

POWER40

scouting grade only

EYE55

scouting grade only

SPEED50

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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.9M	+$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)
2024	17	ROK	DSL LAD Bautista	—	109	90	15	5	0	1	13	21	6	3	1	167	312	256	567	89	206	19	12	276	73	-3	+0	—	—	+2	-0.1
2025	18	ROK	DSL LAD Mega	—	160	130	33	10	0	4	24	34	5	6	2	254	390	423	813	169	312	21	15	367	135	+7	+0	—	—	+3	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Bautista	—	109	95	12	4	0	1	8	30	6	3	1	126	239	200	439	74	159	28	7	186	12	-11	+0	—	—	+2	-0.9
2025	18	ROK MLE	DSL LAD Mega	—	160	139	23	6	0	3	15	51	5	6	2	165	270	273	544	108	232	32	9	245	52	-9	+0	—	—	+3	-0.5
2024	17	ROK MLE	DSL LAD Bautista	—	109	95	12	4	0	1	8	30	6	3	1	126	239	200	439	74	172	28	7	186	12	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Bautista	—	109	90	15	5	0	1	13	21	6	3	1	167	312	256	567	89	206	19	12	276	12	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	160	139	23	6	0	3	15	51	5	6	2	165	270	273	544	108	233	32	9	245	52	—	—	—	—	—	—
2025	18	ROK RAW	DSL LAD Mega	—	160	130	33	10	0	4	24	34	5	6	2	254	390	423	813	169	312	21	15	367	52	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	109	94	12	4	0	1	8	30	6	3	1	128	239	202	441	74	159	28	7	186	12	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	160	139	23	6	0	3	15	51	5	6	2	165	270	273	544	108	232	32	9	245	52	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL LAD Bautista	—	109	94	12	4	0	1	8	30	6	3	1	128	239	202	441	74	159	28	7	186	12	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	160	139	23	6	0	3	15	51	5	6	2	165	270	273	544	108	232	32	9	245	52	—	—	—	—	—	—
YTD	19	ROK MLE	LAD	—	181	160	29	10	2	3	14	35	4	6	1	181	264	325	589	144	208	19	8	257	60	-9	+1	+0	-1	+4	-0.5
▸ 2026 season
YTD	19	ROK RAW	LAD	—	181	152	39	14	3	4	22	24	4	6	1	257	365	467	832	211	276	13	12	363	60	—	—	—	—	—	—
ROS	19	ROK MLE	LAD	0%	18	17	3	1	0	0	1	4	0	0	0	176	222	235	458	59	253	22	6	273	71	-1	+0	+0	-0	+0	-0.0
TOT	19	ROK MLE	LAD	—	199	177	32	11	2	3	15	39	4	6	1	181	260	316	577	136	210	20	8	258	61	-9	+1	+0	-1	+4	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	LAD	34%	240	215	45	11	2	4	19	54	4	4	1	209	286	335	621	126	257	22	8	281	76	-7	+0	+0	-1	+5	-0.3
2028	21	MLB MLE	LAD	48%	363	325	70	16	3	7	29	81	6	7	2	215	292	348	639	132	260	22	8	288	81	-8	+1	+0	-2	+8	-0.2
2029	22	MLB MLE	LAD	54%	451	405	88	20	3	10	36	99	7	8	2	217	292	356	648	138	263	22	8	293	84	-9	+1	+0	-3	+10	-0.1
2030	23	MLB MLE	LAD	57%	509	455	101	23	4	11	41	111	8	9	2	222	298	363	660	141	264	22	8	296	86	-8	+1	+0	-3	+11	0.1
2031	24	MLB MLE	LAD	57%	546	487	108	24	4	13	45	119	9	10	3	222	299	368	667	146	265	22	8	297	87	-8	+1	+0	-3	+12	0.1
2032	25	MLB MLE	LAD	57%	568	507	112	25	4	13	47	123	9	11	3	221	298	363	661	142	265	22	8	298	88	-8	+1	+0	-3	+12	0.2
2033	26	MLB MLE	LAD	56%	579	517	115	26	4	14	48	126	9	11	3	222	300	369	669	147	265	22	8	298	88	-8	+1	+0	-3	+13	0.2
2034	27	MLB MLE	LAD	55%	582	519	115	26	4	14	49	127	9	11	3	222	300	368	668	146	264	22	8	298	88	-8	+1	+0	-3	+13	0.2
2035	28	MLB MLE	LAD	55%	578	515	114	26	4	13	49	127	9	11	3	221	300	363	663	142	264	22	8	297	87	-9	+1	-1	-3	+13	0.1
2036	29	MLB MLE	LAD	53%	570	508	111	25	4	13	48	126	9	10	3	219	297	360	658	142	263	22	8	296	86	-9	+1	-1	-3	+12	-0.1
2027	20	MLB CTX	LAD	34%	82	75	17	4	1	2	6	18	1	1	0	227	293	387	679	160	252	22	7	267	76	-2	+0	+0	-0	+2	-0.1
2028	21	MLB CTX	LAD	48%	176	157	34	8	1	4	14	39	3	3	1	217	293	357	650	140	255	22	8	274	81	-4	+0	+0	-1	+4	-0.1
2029	22	MLB CTX	LAD	54%	245	219	49	11	2	6	20	54	4	4	1	224	300	374	675	151	258	22	8	279	84	-5	+0	+0	-1	+5	-0.0
2030	23	MLB CTX	LAD	57%	288	258	57	13	2	7	23	63	5	5	1	221	297	368	665	147	259	22	8	282	86	-5	+1	+0	-2	+6	0.0
2031	24	MLB CTX	LAD	57%	309	276	60	13	2	7	25	67	5	6	1	217	294	355	649	138	260	22	8	283	87	-5	+1	+0	-2	+7	0.1
2032	25	MLB CTX	LAD	57%	321	287	63	14	2	8	26	70	5	6	2	220	296	366	661	146	260	22	8	284	88	-5	+0	+0	-2	+7	0.1
2033	26	MLB CTX	LAD	56%	327	292	64	14	2	8	27	71	5	6	2	219	296	363	659	144	260	22	8	284	88	-5	+0	+0	-2	+7	0.1
2034	27	MLB CTX	LAD	55%	323	288	63	14	2	8	27	70	5	6	2	219	297	365	661	146	260	22	8	284	88	-5	+0	+0	-2	+7	0.1
2035	28	MLB CTX	LAD	55%	317	282	62	14	2	8	27	70	5	6	1	220	299	369	668	149	259	22	9	284	87	-5	+1	-0	-2	+7	0.1
2036	29	MLB CTX	LAD	53%	305	271	59	13	2	7	26	67	5	5	1	218	298	358	656	140	258	22	9	282	86	-5	+1	-1	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2693	2405	528	118	18	65	221	589	43	48	12	220	297	365	661	145	262	22	8	282	83	-44	+5	-1	-16	+58	0.2
/ 162G	—	A+C		—	650	580	127	28	4	16	53	142	10	12	3	219	295	364	659	145	261	22	8	282	83	-11	+1	-0	-4	+14	0.0
Career	—	MLE		—	5273	4704	1017	233	36	116	435	1178	90	101	28	216	295	355	650	139	262	22	8	291	83	-83	+8	-2	-30	+108	0.1
/ 162G	—	MLE		—	650	580	125	29	4	14	54	145	11	12	3	216	295	352	646	136	262	22	8	291	83	-11	+1	-0	-4	+14	0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Tony 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
#4Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.3	2,839	63	52	221	295	361	-17	+0	2.0	2.0
/162	664	15	12	-4.0	+0.0	0.5	pk7: 2
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	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
Erny Orellana (OGILVIE)	19	40	40	50	55	202/277/320	118	253	2	3	23%	8%	71	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Albert Hernandez 2008 · A	19	43	39→40	49→45	46	207/270/299	92	260	6	7	22%	7%	62	-1.4	226/286/317	91	285	6	7	22%	6%	72	-0.7	230/289/314	84	291	6	6	22%	6%	70	-0.2
✕Armando Sierra 2023 · A	19	47	41→45	43→40	47	227/288/323	97	280	8	4	22%	7%	74	-0.5	213/268/313	100	305	9	4	31%	6%	64	-1.3	189/239/286	97	292	10	0	37%	6%	45	-0.5
✕Ronarsy Ledesma 2012 · A	19	41	42→45	47→50	43	203/277/306	103	268	9	7	27%	6%	67	-1.1	224/283/326	102	290	5	11	24%	5%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Jhostynxon Garcia 2022 · A	19	43→41	41→50	47→50	51	206/290/306	101	284	7	8	28%	10%	72	-0.7	190/261/308	118	286	11	9	35%	8%	61	-1.5	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Cesar Quintas 2022 · A	19	46→47	40→45	50→45	43	220/302/316	96	294	7	7	26%	6%	79	-0.2	203/281/283	80	307	6	5	34%	6%	64	-1.3	200/288/311	112	281	11	6	30%	6%	72	-0.4
✕Guillermo Pimentel 2009 · A	19	44	39→40	48→55	47	209/298/288	79	282	7	17	26%	8%	72	-0.7	199/266/274	75	324	6	12	37%	7%	55	-1.9	172/232/231	59	310	6	11	43%	7%	30	-1.1
✕Alexis Hernandez 2022 · A	19	43→48	40→50	49→50	49	206/271/299	92	244	7	10	18%	7%	62	-1.4	203/275/291	88	274	7	15	27%	8%	63	-1.4	215/291/342	128	289	14	18	29%	8%	78	-0.1
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Noelvi Marte 2021 · A	19	44→53	44→50	50→55	42	218/268/339	121	285	11	12	27%	6%	70	-0.8	228/293/365	137	300	15	16	28%	8%	86	+0.3	232/299/370	138	298	16	19	26%	8%	87	+0.3
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Manuel Joseph 2013 · A	19	46	41→45	44→50	45	221/274/319	97	271	8	8	21%	6%	68	-1.0	244/300/352	108	288	9	15	18%	6%	85	+0.2	263/321/381	118	302	10	21	15%	5%	101	+0.6
✕Jorge Alcantara 2011 · A	19	45	41→45	51→50	43	216/278/319	103	302	7	11	30%	7%	70	-0.9	198/267/295	97	299	7	13	33%	8%	60	-1.6	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Robert Vasquez 2006 · A	19	49	40	52→50	47	232/289/326	94	289	6	12	22%	7%	75	-0.5	206/273/275	69	276	4	8	25%	8%	57	-1.8	197/271/252	55	275	4	9	27%	8%	51	-0.6
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
●Davis Schneider 2018 · A	19	40→43	41→55	48→50	50	195/275/298	102	255	8	6	26%	9%	64	-1.3	195/268/291	96	304	8	7	35%	8%	60	-1.6	209/318/396	187	271	23	9	30%	12%	102	+1.1
✕Jesus Morelli 2009 · A	19	49	42→45	48→50	49	234/311/346	112	300	9	12	24%	8%	88	+0.5	220/282/290	70	304	4	10	27%	6%	64	-1.3	219/279/260	41	287	0	14	22%	6%	53	-0.5
✕Francisco Herrera 2013 · A	19	47	42→45	44→30	49	230/294/334	104	267	9	5	18%	7%	79	-0.2	221/277/315	94	270	8	6	21%	6%	68	-1.0	208/255/286	78	243	9	5	18%	4%	50	-0.6
✕Edwin Sanchez 2023 · A	18	41	44→45	43→50	47	201/290/315	114	282	12	6	31%	9%	74	-0.5	200/313/311	111	277	10	9	29%	11%	83	+0.1	178/321/293	116	239	11	11	27%	14%	82	+0.0
✕Deiber Olivera 2012 · A	19	44	38→40	50→45	44	210/259/296	86	269	4	8	23%	6%	56	-1.9	236/277/312	76	275	3	7	15%	4%	67	-1.1	255/291/322	67	289	2	7	12%	3%	73	-0.2
✕Raul Juarez 2017 · A	19	42	41→45	42→40	41	208/273/305	97	268	9	6	25%	5%	65	-1.2	204/257/279	75	279	6	5	28%	5%	53	-2.1	180/221/220	41	250	4	2	29%	3%	23	-0.9

Career Stats + Projections

Career Comps

Career Path Comps