Erick Arosemena — OGILVIE

Erick ArosemenaCF DSL Giants Orange

Age 21 R/R 6'0" / 170 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 50 proj PA

wRC+†62

AVG/OBP/SLG.201 / .277 / .284

PA4

HR0

K%29

BB%7

ISO84

MLB%0%

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 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	—	—	—
2035	Arb-1	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$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)
2022	17	ROK	DSL Giants Orange	—	123	107	19	3	1	3	11	43	4	4	1	178	279	308	587	131	258	35	9	270	69	-5	+0	—	—	+3	-0.2
2023	18	ROK	DSL Giants Orange	—	147	121	32	7	0	0	15	34	8	1	2	264	382	322	704	58	356	23	10	326	107	+1	-1	—	—	+3	0.4
2024	19	ROK	DSL Giants Orange	—	70	48	11	2	2	1	14	15	6	2	0	229	456	417	873	188	294	21	20	393	152	+4	+0	—	—	+2	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Giants Orange	—	123	111	11	2	0	2	7	62	4	4	1	99	180	171	351	72	188	50	6	164	-3	-15	+0	—	—	+3	-1.2
2023	18	ROK MLE	DSL Giants Orange	—	147	127	25	5	0	0	9	49	8	1	2	197	292	236	528	39	280	33	6	231	42	-10	-1	—	—	+3	-0.8
2024	19	ROK MLE	DSL Giants Orange	—	70	53	10	2	2	1	9	22	6	2	0	189	368	358	726	170	235	31	13	298	88	-1	+0	—	—	+2	0.1
2022	17	ROK MLE	DSL Giants Orange	—	123	111	11	2	0	2	7	62	4	4	1	99	180	171	351	72	188	50	6	164	-3	—	—	—	—	—	—
2022	17	ROK RAW	DSL Giants Orange	—	123	107	19	3	1	3	11	43	4	4	1	178	279	308	587	131	258	35	9	270	-3	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Orange	—	147	127	25	5	0	0	9	49	8	1	2	197	292	236	528	39	309	33	6	231	42	—	—	—	—	—	—
2023	18	ROK RAW	DSL Giants Orange	—	147	121	32	7	0	0	15	34	8	1	2	264	382	322	704	58	356	23	10	326	42	—	—	—	—	—	—
2024	19	ROK MLE	DSL Giants Orange	—	70	53	10	2	2	1	9	22	6	2	0	189	368	358	726	170	281	31	13	298	88	—	—	—	—	—	—
2024	19	ROK RAW	DSL Giants Orange	—	70	48	11	2	2	1	14	15	6	2	0	229	456	417	873	188	294	21	20	393	88	—	—	—	—	—	—
2022	17	ROK MLE	DSL Giants Orange	—	123	111	11	2	0	2	7	62	4	4	1	99	180	171	351	72	188	50	6	164	-3	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Orange	—	147	129	25	5	0	0	9	49	8	1	2	194	292	233	524	39	280	33	6	231	42	—	—	—	—	—	—
2024	19	ROK MLE	DSL Giants Orange	—	70	55	10	2	2	1	9	22	6	2	0	182	368	345	713	164	235	31	13	298	88	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Giants Orange	—	147	129	25	5	0	0	9	49	8	1	2	194	292	233	524	39	280	33	6	231	42	—	—	—	—	—	—
2024	19	ROK MLE	DSL Giants Orange	—	70	55	10	2	2	1	9	22	6	2	0	182	368	345	713	164	235	31	13	298	88	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	SF	0%	4	4	1	0	0	0	0	1	0	0	0	250	250	250	500		288	25	0	260	62	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	SF	34%	114	102	22	4	1	2	9	33	2	1	0	216	292	333	625	118	289	29	8	271	70	-4	+0	+0	+0	+2	-0.1
2028	23	MLB MLE	SF	48%	248	222	48	8	2	4	19	69	5	3	1	216	293	324	617	108	290	28	8	279	75	-7	+0	+0	+1	+5	-0.1
2029	24	MLB MLE	SF	53%	347	310	68	12	3	6	27	96	7	4	1	219	297	335	632	116	291	28	8	284	79	-9	+0	+0	+1	+8	0.0
2030	25	MLB MLE	SF	55%	408	365	80	14	3	8	32	112	8	5	1	219	296	340	636	121	292	27	8	288	81	-9	+1	+0	+1	+9	0.2
2031	26	MLB MLE	SF	56%	445	398	87	15	3	9	35	122	9	5	2	219	296	339	636	121	292	27	8	289	82	-10	+0	+0	+2	+10	0.2
2032	27	MLB MLE	SF	55%	464	415	91	16	3	9	37	127	9	5	2	219	297	337	635	118	292	27	8	289	82	-10	+0	+0	+2	+10	0.2
2033	28	MLB MLE	SF	55%	471	421	91	16	3	9	38	130	9	5	2	216	295	333	627	116	291	28	8	288	81	-10	+0	-1	+2	+10	0.1
2034	29	MLB MLE	SF	53%	469	419	91	16	3	9	38	130	9	5	1	217	296	334	630	117	291	28	8	287	80	-11	+1	-1	+2	+10	-0.0
2035	30	MLB MLE	SF	53%	463	414	90	16	3	9	37	130	9	4	1	217	296	336	631	118	290	28	8	284	78	-12	+0	-2	+2	+10	-0.2
2027	22	MLB CTX	SF	34%	39	35	6	1	0	0	3	11	1	0	0	171	256	200	456	29	284	28	8	252	70	-1	+0	+0	+0	+1	-0.0
2028	23	MLB CTX	SF	48%	120	108	23	4	1	2	9	34	2	1	0	213	286	324	610	111	285	28	8	259	75	-4	+0	+0	+0	+3	-0.0
2029	24	MLB CTX	SF	53%	183	163	34	6	1	3	14	50	4	2	1	209	287	313	600	104	286	27	8	265	79	-5	+0	+0	+1	+4	-0.0
2030	25	MLB CTX	SF	55%	223	200	44	8	2	4	17	61	4	3	1	220	294	340	634	120	286	27	8	268	81	-5	+0	+0	+1	+5	0.1
2031	26	MLB CTX	SF	56%	248	222	48	8	2	5	19	68	5	3	1	216	293	338	631	122	286	27	8	269	82	-5	+0	+0	+1	+5	0.1
2032	27	MLB CTX	SF	55%	255	228	50	9	2	5	20	70	5	3	1	219	296	342	639	123	286	27	8	269	82	-5	+0	+0	+1	+6	0.1
2033	28	MLB CTX	SF	55%	257	229	50	9	2	5	21	71	5	3	1	218	298	341	639	122	286	28	8	268	81	-6	+0	-0	+1	+6	0.1
2034	29	MLB CTX	SF	53%	250	223	47	8	2	4	20	70	5	3	1	211	290	318	609	108	285	28	8	267	80	-6	+0	-1	+1	+5	-0.0
2035	30	MLB CTX	SF	53%	243	216	46	8	2	4	20	68	5	2	1	213	295	324	619	111	284	28	8	264	78	-6	+0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1818	1624	348	61	14	32	143	503	36	20	7	214	292	328	620	114	288	28	8	266	76	-43	+1	-2	+6	+39	0.1
/ 162G	—	A+C		—	650	581	124	22	5	11	51	180	13	7	3	213	292	325	617	112	288	28	8	266	76	-16	+0	-1	+2	+14	0.1
Career	—	MLE		—	3773	3361	715	126	26	68	297	1083	85	44	14	213	293	326	619	114	290	29	8	280	76	-83	+3	-4	+12	+74	0.3
/ 162G	—	MLE		—	650	579	123	22	4	12	51	187	15	8	2	212	293	326	619	114	289	29	8	280	76	-16	+1	-1	+2	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Guillermo 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
#4Ryan 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 6 projected seasons	2.8	1,869	35	20	219	293	336	+7	+15	1.4	1.4
/162	664	12	7	+2.4	+5.3	0.5	pk7: 1
#5Nick 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
#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
Erick Arosemena (OGILVIE)	21	—	—	—	—	201/277/284	83	288	0	1	29%	7%	62	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Niko Vasquez 2010 · A	21	41	37→50	46→45	42	193/260/264	71	288	5	6	33%	8%	51	-2.3	197/270/305	108	273	9	3	29%	8%	64	-1.3	221/278/353	132	287	16	6	28%	6%	76	-0.2
✕Ramon Mendoza 2022 · A	21	42→49	37→45	43→45	44	198/271/274	75	282	3	5	29%	8%	57	-1.8	197/270/281	84	288	5	5	31%	8%	58	-1.7	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Jesus Ugueto 2012 · A	21	43	38→45	47→50	45	207/264/289	81	274	5	6	25%	7%	57	-1.8	234/283/350	116	301	10	11	24%	6%	78	-0.3	248/294/383	135	310	12	14	23%	5%	89	+0.2
✕Eddys Leonard 2021 · A	20	42→46	40→50	45→50	44	202/274/296	94	295	7	8	32%	8%	63	-1.3	225/292/371	146	302	16	5	30%	7%	87	+0.4	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Addison Barger 2021 · A	21	41→45	39→55	49→45	44	198/267/288	90	270	6	5	28%	7%	59	-1.7	212/274/363	151	314	18	7	36%	7%	79	-0.2	218/289/380	162	269	18	6	25%	8%	85	+0.2
✕Emilio King 2011 · A	21	37	36→45	45→40	37	178/245/248	70	273	3	6	34%	5%	42	-2.9	214/256/307	93	316	7	4	33%	4%	58	-1.7	250/279/366	116	337	11	3	28%	2%	76	-0.3
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	291	5	6	30%	6%	55	-2.0	204/258/283	79	271	6	3	26%	5%	54	-2.0	202/260/295	93	255	9	0	24%	5%	55	-0.7
✕Lenyn Sosa 2021 · A	21	42→51	40→50	43→40	37	207/237/300	93	263	7	5	25%	3%	49	-2.4	227/259/346	119	289	14	3	26%	4%	68	-1.0	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕Parker Meadows 2021 · A	21	39→47	41→55	46→55	42	195/250/286	91	268	9	9	30%	6%	51	-2.2	201/262/331	130	269	14	13	29%	7%	67	-1.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
●Maikel Garcia 2021 · A	21	43→53	36→50	51→60	42	203/261/270	67	295	3	13	31%	7%	51	-2.2	244/303/338	94	314	6	24	22%	8%	82	+0.0	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕David Bote 2014 · A	21	39→49	39→50	47→45	48	188/267/275	87	259	6	7	28%	9%	56	-1.9	205/271/295	90	278	6	6	27%	6%	62	-1.4	237/312/394	157	303	18	6	26%	8%	96	+0.8
✕Jakson Reetz 2017 · A	21	44→33	39→55	47→45	44	205/289/298	94	298	5	6	31%	8%	70	-0.8	198/275/298	100	292	9	5	33%	7%	65	-1.2	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Jose Ramos 2021 · A	20	43→41	38→50	48→45	41	206/270/283	78	285	5	9	28%	6%	59	-1.7	214/277/357	143	320	16	4	36%	7%	78	-0.3	203/271/348	146	303	18	4	37%	7%	72	-0.5
✕Kenny Hart 2011 · A	21	45	39→45	47→50	42	211/286/293	83	298	6	9	29%	7%	68	-1.0	212/300/319	107	275	8	11	24%	8%	79	-0.2	187/295/308	121	227	11	15	21%	8%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps