Eli Lovich — OGILVIE

Eli LovichOF Myrtle Beach Pelicans

Age 20 L/L 6'4" / 185 lbs A HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION431 act + 9 ros · stats below = ROS only

showingROS

wRC+†32

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

PA9

HR0

K%44

BB%11

BABIP269

ISO84

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 40 / POW 55

Toolsscout grade

CONTACT40

scouting grade only

POWER55

scouting grade only

EYE50

scouting grade only

SPEED40

scouting grade only

DEFENSE40

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
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
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-4M	+$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)
2025	19	A	Myrtle Beach Pelicans	—	200	182	39	2	2	2	18	68	0	8	1	214	285	280	565	66	330	34	9	262	63	-9	+1	—	—	+4	-0.3
2025	19	ROK	ACL Cubs	—	100	89	24	5	1	2	9	20	2	10	3	270	350	416	766	146	328	20	9	344	119	+2	+1	—	—	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A MLE	Myrtle Beach Pelicans	—	200	190	30	1	1	2	10	101	0	8	1	158	200	205	405	47	322	50	5	181	9	-22	+1	—	—	+4	-1.7
2025	19	ROK MLE	ACL Cubs	—	100	92	19	4	1	2	6	30	2	10	3	207	270	337	607	130	271	30	6	246	53	-6	+1	—	—	+2	-0.3
2025	19	A MLE	2 teams	—	300	282	48	5	2	3	16	131	2	18	4	170	220	234	454	64	304	44	5	203	23	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	300	271	63	7	3	4	27	88	2	18	4	232	307	325	631	92	330	29	9	289	23	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	300	279	48	5	2	3	16	131	2	18	4	172	220	237	457	65	305	44	5	203	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	19	A MLE	2 teams	—	300	279	48	5	2	3	16	131	2	18	4	172	220	237	457	65	305	44	5	203	23	—	—	—	—	—	—
YTD	20	A MLE	CHC	—	431	385	52	9	2	7	37	204	5	14	2	135	220	223	444	88	256	47	9	204	24	-39	+2	+0	-3	+9	-3.1
▸ 2026 season
YTD	20	A RAW	CHC	—	431	363	71	14	3	9	59	144	5	14	2	196	316	325	641	129	292	33	14	295	24	—	—	—	—	—	—
ROS	20	A MLE	CHC	0%	9	8	1	0	0	0	1	4	0	0	0	125	222	125	347		267	44	11	216	32	-1	+0	-0	-0	+0	-0.1
TOT	20	A MLE	CHC	—	440	393	53	9	2	7	38	208	5	14	2	135	220	221	442	87	256	47	9	204	24	-40	+2	-0	-3	+10	-3.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	CHC	34%	438	396	67	11	2	10	35	181	4	7	1	169	244	283	527	114	274	41	8	241	49	-27	+1	-3	-3	+9	-2.2
2028	22	MLB MLE	CHC	48%	502	451	82	14	2	14	41	198	5	8	1	182	258	315	572	133	277	39	8	257	60	-24	+1	-3	-3	+11	-1.9
2029	23	MLB MLE	CHC	54%	540	485	91	15	3	16	45	206	5	8	1	188	264	330	593	142	279	38	8	267	67	-21	+1	-4	-3	+12	-1.6
2030	24	MLB MLE	CHC	55%	564	505	97	16	3	18	48	212	6	8	1	192	270	343	613	150	281	38	9	274	71	-19	+1	-4	-3	+12	-1.3
2031	25	MLB MLE	CHC	56%	575	515	99	16	3	19	49	216	6	8	1	192	270	346	616	153	281	38	9	277	73	-18	+1	-4	-3	+12	-1.2
2027	21	MLB CTX	CHC	34%	151	137	23	4	1	3	12	62	1	3	0	168	240	277	517	109	276	41	8	233	49	-9	+1	-1	-1	+3	-0.7
2028	22	MLB CTX	CHC	48%	243	219	39	7	1	6	20	96	2	4	1	178	253	301	554	123	279	40	8	249	60	-12	+0	-2	-1	+5	-0.9
2029	23	MLB CTX	CHC	54%	293	263	49	8	2	8	25	112	3	4	1	186	265	323	588	137	281	38	9	259	67	-12	+0	-2	-2	+6	-0.9
2030	24	MLB CTX	CHC	55%	313	281	54	9	2	10	26	118	3	5	1	192	268	345	613	153	283	38	8	265	71	-11	+1	-2	-2	+7	-0.7
2031	25	MLB CTX	CHC	56%	322	289	55	9	2	10	27	121	3	5	1	190	266	339	606	149	283	38	8	268	73	-10	+1	-2	-2	+7	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1322	1189	220	37	8	37	110	509	12	21	4	185	261	323	584	138	282	39	8	258	61	-53	+3	-9	-8	+29	-4.0
/ 162G	—	A+C		—	650	585	108	18	4	18	54	250	6	10	2	185	260	321	582	137	281	38	8	258	61	-26	+1	-4	-4	+14	-1.9
Career	—	MLE		—	2928	2642	485	77	15	80	235	1148	28	57	9	184	257	315	572	131	284	39	8	258	61	-110	+6	-18	-16	+57	-8.2
/ 162G	—	MLE		—	650	587	107	17	3	18	52	255	6	13	2	182	256	313	569	131	281	39	8	258	61	-27	+1	-4	-4	+14	-2.0

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
#2Jake 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
#3Nick 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
#4Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	pk7: 0
#5Alexi 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
#6Domonic Brownlast yr '15 career totals — 6 seasons, 1,748 PA	2.6	1,748	54	23	246	305	405	-19	-39	-1.1	-1.1
/162	664	21	9	-7.1	-14.7	-0.4	pk7: -1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.5	1,641	44	26	184	255	314	-10	-12	-3.7	-1.9
/162	664	18	11	-4.0	-4.9	-1.5	pk7: 0

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
Eli Lovich (OGILVIE)	20	20→40	30→55	40	50	150/225/236	85	267	5	8	44%	8%	32	-1.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Max White 2014 · A	20	36→43	38→45	45→60	33	170/225/246	76	306	6	11	44%	6%	33	-3.6	189/252/289	100	350	7	21	44%	7%	53	-2.1	201/268/317	116	319	9	30	37%	8%	63	-0.9
✕Leandro Pineda 2022 · A	20	35→45	37→45	43→45	46	171/257/239	68	251	4	7	31%	9%	45	-2.7	189/259/292	103	281	8	5	33%	7%	57	-1.8	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Nomar Fana 2023 · A	20	40	39→50	46→50	40	188/253/277	89	309	6	11	39%	8%	51	-2.3	189/266/296	107	304	11	12	38%	9%	60	-1.6	161/250/268	106	257	13	14	40%	10%	47	-0.9
✕Daniel Fields 2012 · A	21	37→47	41→45	41→55	39	178/250/269	91	293	9	6	40%	8%	49	-2.4	215/270/310	95	314	7	16	32%	6%	64	-1.3	224/275/323	99	313	7	20	29%	5%	66	-0.8
✕Jared Walker 2017 · A	21	37→32	40→55	44→45	37	178/239/268	89	302	8	7	41%	7%	44	-2.8	188/258/344	156	307	19	5	42%	7%	70	-0.9	173/255/337	164	274	21	5	42%	7%	64	-0.8
✕Albert Fabian 2022 · A	20	44→45	38→50	46→45	41	201/267/283	82	319	5	7	36%	8%	57	-1.8	194/252/335	141	274	17	4	35%	6%	64	-1.3	218/273/337	119	267	13	8	23%	6%	71	-0.3
✕Steven Moya 2012 · A	20	30→40	43→55	44→50	25	158/192/255	97	300	12	3	50%	4%	22	-4.3	204/232/348	144	311	17	7	39%	3%	59	-1.7	216/243/390	174	300	22	9	35%	3%	71	-0.5
✕Marcus Lee Sang 2021 · A	20	41→51	38→45	47→50	35	192/241/271	79	324	6	9	41%	6%	44	-2.8	202/260/313	111	331	11	14	40%	7%	61	-1.5	221/280/341	119	326	12	15	34%	7%	72	-0.6
✕Trey Cabbage 2017 · A	20	40→44	37→55	41→55	32	182/236/250	68	328	5	6	44%	6%	38	-3.2	179/232/274	95	319	8	4	43%	6%	42	-2.9	218/280/412	194	345	26	22	42%	7%	90	+0.4
✕Edgar Corcino 2012 · A	20	34→44	40→45	44→45	37	171/230/254	83	267	8	6	37%	6%	37	-3.3	197/252/293	96	298	9	6	35%	6%	53	-2.1	235/281/345	110	297	10	4	23%	5%	75	-0.3
✕Luis Suisbel 2023 · A	20	36→44	40→50	46→45	36	171/260/258	87	288	8	6	40%	6%	51	-2.2	200/277/334	134	307	16	5	38%	7%	74	-0.5	186/261/324	138	278	18	4	38%	7%	64	-0.9
✕David Washington 2011 · A	20	41→39	38→55	46→45	37	192/247/267	75	312	5	5	38%	6%	46	-2.6	198/259/316	118	311	11	6	37%	7%	62	-1.4	197/256/351	154	317	20	5	42%	7%	67	-0.8
✕Roberto Ramos 2015 · A	20	43→45	38→50	46→40	36	197/256/276	79	320	5	6	38%	6%	51	-2.2	225/276/359	134	322	15	5	33%	6%	78	-0.3	191/269/355	164	282	22	2	39%	8%	73	-0.4
✕Melky Mesa 2007 · A	20	36→44	40→50	45→55	34	178/225/267	89	288	7	6	39%	5%	37	-3.3	177/227/280	103	300	9	8	42%	5%	42	-2.9	207/264/356	149	293	17	21	34%	6%	71	-0.7
✕Kentrell Dewitt 2011 · A	20	39	39→45	50→45	37	186/251/272	87	310	7	13	40%	7%	49	-2.4	206/267/288	82	330	5	10	36%	7%	58	-1.7	217/272/333	116	312	9	9	31%	6%	66	-0.7
✕Izaac Pacheco 2023 · A	20	41→40	42→50	47→45	42	199/260/306	108	293	10	8	34%	8%	60	-1.6	180/243/297	117	298	12	5	41%	7%	52	-2.2	178/255/335	157	290	20	3	43%	9%	64	-0.8
✕Gilbert Marrero 2016 · A	19	37	38→45	44→40	41	179/246/258	79	278	6	4	36%	8%	44	-2.8	183/237/253	70	329	4	6	42%	6%	38	-3.2	129/166/166	37	267	0	3	49%	4%	-12	-1.2
✕Creed Willems 2023 · A	20	36→43	40→50	47→30	34	177/235/270	93	272	7	4	36%	4%	42	-2.9	189/250/322	133	254	16	3	32%	6%	61	-1.5	202/268/330	128	248	17	1	25%	6%	68	-0.7
✕Jeremy Moore 2007 · A	20	41→51	38→50	44→55	37	192/251/271	79	314	5	11	38%	6%	49	-2.4	199/240/339	140	304	15	15	38%	5%	59	-1.6	240/276/387	147	339	13	19	32%	4%	82	+0.0
✕Isan Díaz 2015 · A	19	34→41	39→55	47→45	39	169/233/258	89	267	6	8	37%	7%	39	-3.1	207/271/343	136	302	13	8	34%	8%	73	-0.6	206/286/370	164	268	21	5	30%	9%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps