Player 805910 — OGILVIE

Player 8059101B Myrtle Beach Pelicans

Age — —/— A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION80 act + 11 ros · stats below = ROS only

showingROS

wRC+†57

AVG/OBP/SLG.200 / .273 / .200

PA11

HR0

K%27

BB%9

BABIP282

ISO89

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
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
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	—	A MLE	CHC	—	80	75	13	2	0	0	4	20	0	0	0	173	215	200	415	27	232	25	5	200	22	-7	+0	+0	-1	+2	-0.7
▸ 2026 season
YTD	—	A RAW	CHC	—	80	72	16	3	0	0	7	14	0	0	0	222	291	264	555	42	271	18	9	256	22	—	—	—	—	—	—
ROS	—	A MLE	CHC	0%	11	10	2	0	0	0	1	3	0	0	0	200	273	200	473		280	27	9	253	57	-1	+0	+0	-0	+0	-0.1
TOT	—	A MLE	CHC	—	91	85	15	2	0	0	5	23	0	0	0	176	222	200	422	24	238	25	5	206	26	-8	+0	+0	-2	+2	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	CHC	0%	217	200	43	7	1	3	14	56	1	1	0	215	270	305	575	90	283	26	6	263	64	-9	+0	+0	-4	+5	-0.8
2027	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	285	—	—	260	64	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	228	210	45	7	1	3	15	59	1	1	0	214	270	300	570	86	282	26	7	263	64	-10	+0	+0	-4	+5	-0.9
/ 162G	—	MLE		—	650	599	129	20	3	9	43	168	3	3	0	215	272	304	576	88	282	26	7	263	64	-28	+1	+0	-12	+14	-2.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Guillermo 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
#3Ryan 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
#4Jake 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.7	432	6	2	219	273	310	-6	+0	-1.1	-0.6
/162	664	8	3	-9.5	+0.0	-1.7	pk7: 0
#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
Player 805910 (OGILVIE)	25	—	—	—	—	210/264/290	79	280	2	1	26%	6%	57	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕JJ Schwarz 2021 · A	25	38	41→45	48→30	43	190/254/280	91	265	9	6	31%	7%	52	-2.2	214/281/329	115	298	12	3	30%	8%	73	-0.6	208/278/322	114	287	13	1	30%	9%	68	-0.5
✕David Masters 2018 · A	25	36→37	40→45	40	42	180/239/263	83	237	8	3	27%	6%	42	-2.9	203/270/318	115	280	13	3	30%	7%	67	-1.1	192/262/321	129	263	16	1	32%	7%	61	-0.6
✕Chadd Krist 2015 · A	25	40	41→40	44→45	42	196/258/292	96	269	8	6	29%	7%	56	-1.9	194/248/291	97	281	9	6	32%	6%	52	-2.2	151/202/238	87	213	10	0	34%	5%	19	-1.4
✕Quincy McAfee 2023 · AA	25	39	42→45	42→45	46	191/280/293	102	262	10	6	29%	9%	65	-1.2	199/277/327	128	250	14	10	25%	7%	72	-0.7	186/267/323	137	222	16	12	24%	7%	65	-0.7
✕Duke Sardinha 2006 · A	25	42→34	40→50	46→45	45	207/265/301	95	267	8	8	25%	7%	60	-1.6	204/252/332	128	283	14	6	32%	5%	63	-1.3	198/247/335	137	267	16	5	32%	5%	59	-0.9
✕Nick Quintana 2023 · AA	25	38→40	43→45	42→45	48	191/276/299	108	261	11	5	30%	10%	65	-1.2	196/278/300	104	279	9	7	31%	9%	66	-1.1	110/223/191	81	162	7	0	33%	9%	22	-1.0
✕Skyler Ewing 2017 · A	24	40→39	42→45	45→30	42	198/262/305	107	265	10	3	28%	6%	61	-1.5	198/272/342	144	272	16	4	32%	7%	74	-0.5	192/278/365	173	240	21	1	29%	7%	80	-0.1
✕Josh Adams 2014 · A	25	40→41	41→40	44→45	41	199/249/293	93	263	9	4	27%	6%	53	-2.1	194/244/286	92	269	8	6	29%	6%	49	-2.4	119/161/186	67	166	4	0	31%	5%	-9	-1.3
✕Ryan McCarthy 2008 · A	25	43	39→45	48→45	43	206/269/289	83	286	6	6	29%	7%	59	-1.6	220/275/329	109	291	10	7	26%	6%	71	-0.8	214/263/335	121	269	12	4	25%	6%	63	-0.5
✕Matt Winaker 2021 · A	25	38→40	41→45	46→45	43	189/269/291	102	256	8	7	28%	7%	61	-1.5	197/290/280	83	270	6	6	27%	9%	67	-1.1	177/283/251	73	242	5	3	26%	9%	56	-0.8
✕Trey Vavra 2017 · A	25	44→38	41→40	43→45	43	216/281/314	97	278	9	5	25%	6%	70	-0.8	195/269/282	87	275	8	7	30%	6%	59	-1.7	96/196/130	34	153	4	0	37%	6%	-2	-1.3
✕Jorge Saez 2016 · A	25	38	39→45	46→30	45	186/257/272	86	265	6	3	31%	8%	51	-2.2	206/269/333	127	290	15	4	32%	7%	70	-0.9	207/270/340	133	282	19	3	33%	7%	70	-0.3
✕Marcus Knecht 2015 · A	25	39→43	42→45	48→50	40	195/256/301	107	275	8	7	31%	6%	57	-1.8	195/264/279	84	284	4	11	30%	7%	55	-1.9	170/247/240	70	256	2	13	31%	8%	38	-2.4
✕Chase Pinder 2021 · AA	25	40	39→45	40→45	44	192/269/271	79	282	7	5	32%	8%	56	-1.9	217/307/343	126	285	13	8	26%	10%	87	+0.4	222/324/360	138	289	14	11	26%	12%	95	+0.5
✕Andrés Alvarez 2021 · A	24	41→31	37→45	48→50	42	196/261/270	74	275	4	7	29%	7%	52	-2.2	202/269/324	122	288	13	15	33%	8%	68	-1.0	182/251/303	121	254	14	15	33%	8%	55	-1.1
✕Wagner Lagrange 2021 · A	25	45	41→45	49→40	41	220/263/323	103	284	8	5	25%	5%	64	-1.3	225/268/335	110	288	11	7	25%	5%	70	-0.9	224/262/330	106	280	12	5	24%	4%	64	-0.7
✕Robbie Shields 2013 · A	25	44→39	39→45	47→45	45	210/266/303	93	266	6	8	23%	7%	61	-1.5	200/252/277	77	278	4	7	28%	6%	50	-2.3	182/229/245	63	256	2	5	28%	5%	30	-2.3
✕Tanner Allen 2023 · A	25	37	39→45	48→45	43	183/239/270	87	227	6	5	22%	6%	43	-2.8	215/272/318	103	268	10	8	22%	6%	67	-1.1	221/280/326	105	271	11	9	22%	7%	68	-0.5
✕Caleb Hamilton 2019 · A	24	35	41→45	45	45	174/251/275	101	255	8	6	33%	9%	50	-2.3	186/255/286	100	272	9	8	33%	8%	53	-2.1	141/235/256	115	206	16	3	39%	10%	39	-1.0
✕Grant Buckner 2013 · A	25	44→42	40	44→40	40	214/267/303	89	293	7	6	29%	6%	61	-1.5	216/265/321	105	275	10	5	24%	5%	65	-1.2	213/261/322	109	262	10	3	22%	5%	61	-0.9

Career Stats + Projections

Career Comps

Career Path Comps