Player 837950 — OGILVIE

Player 8379501B DSL Mets Orange

Age — —/— ROK Svc 0.0 · Ctrl thru 2038

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 105 proj PA

wRC+61

AVG/OBP/SLG.202 / .279 / .275

PA105

HR1

K%29

BB%8

ISO73

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
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
2037	Ext	beyond projection horizon · no WAR estimate
2038	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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2026	—	ROK	DSL Mets Orange	—	162	129	33	6	0	2	26	31	4	4	2	256	396	349	745	93	313	19	16	343	39	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Mets Orange	—	162	137	22	4	0	1	18	38	4	4	2	161	277	212	488	51	196	23	11	226	39	—	—	—	—	—	—
2026	—	ROK MLE	DSL Mets Orange	—	162	137	22	4	0	1	18	38	4	4	2	161	277	212	488	51	208	23	11	226	39	—	—	—	—	—	—
2026	—	ROK RAW	DSL Mets Orange	—	162	129	33	6	0	2	26	31	4	4	2	256	396	349	745	93	313	19	16	343	39	—	—	—	—	—	—
2026	25	ROK MLE	DSL Mets Orange	—	162	139	22	4	0	1	18	38	4	4	2	158	277	209	485	50	196	23	11	226	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Mets Orange	—	162	139	22	4	0	1	18	38	4	4	2	158	277	209	485	50	196	23	11	226	39	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	—	0%	212	189	38	6	1	2	18	61	3	2	1	204	281	277	559	73	288	29	8	258	61	-10	+0	+0	-4	+5	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	—	0%	172	153	32	5	1	2	15	49	2	2	1	207	284	288	572	81	288	28	9	263	64	-7	+0	+0	-3	+4	-0.7
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	207	284	288	572	81	288	—	—	263	64	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	439	384	74	12	2	4	42	117	7	7	3	193	284	266	550	73	261	27	10	248	54	-12	+0	+0	-5	+6	-1.1
/ 162G	—	MLE		—	650	569	110	18	3	6	62	173	10	10	4	193	283	267	551	74	262	27	10	248	54	-29	+0	+0	-12	+14	-2.6

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
#4Nick 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	0.4	277	3	3	207	281	285	-4	+0	-0.7	-0.3
/162	664	6	7	-8.9	+0.0	-1.7	pk7: 0
#5Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	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 837950 (OGILVIE)	25	—	—	—	—	202/279/275	73	288	1	1	29%	8%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕JJ Schwarz 2021 · A	25	38	40→45	48→30	43	189/253/279	90	264	9	6	31%	7%	51	-2.2	212/279/326	114	294	12	3	30%	8%	72	-0.7	205/275/317	113	280	13	1	30%	9%	66	-0.6
✕Andrés Alvarez 2021 · A	24	41→32	37→45	48→50	42	194/258/268	74	273	4	7	29%	6%	51	-2.3	203/269/323	120	290	13	15	33%	8%	68	-1.0	184/253/304	120	257	14	15	33%	8%	56	-1.0
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	178/253/255	77	262	8	14	33%	8%	47	-2.6	205/278/293	88	286	6	12	28%	9%	64	-1.3	205/285/293	88	279	5	13	26%	9%	65	-0.6
✕Nick Vickerson 2014 · A	25	37	42→40	49→50	48	187/274/289	103	259	10	13	30%	10%	63	-1.4	200/295/298	98	281	9	11	29%	10%	72	-0.7	182/296/265	82	256	7	11	28%	12%	63	-0.8
✕Sam Praytor 2024 · A	25	37	42→45	49→55	40	187/249/289	101	268	10	6	33%	6%	53	-2.1	203/271/315	112	272	11	8	28%	8%	67	-1.1	191/269/298	107	248	11	9	26%	8%	59	-0.5
✕Chadd Krist 2015 · A	25	39	41→40	44→45	42	195/257/291	96	267	8	6	29%	7%	55	-1.9	193/247/290	97	279	9	6	32%	6%	51	-2.2	149/199/236	88	209	10	0	34%	5%	17	-1.5
✕Huascar Fuentes 2017 · A	25	39	39→45	49→45	40	188/257/278	90	253	6	7	27%	5%	53	-2.1	195/250/270	75	280	3	6	30%	5%	48	-2.5	165/211/221	56	238	0	2	29%	3%	19	-1.1
✕Tyler Reichenborn 2023 · A	25	41→43	39→45	47→50	45	199/272/283	84	272	8	13	28%	8%	59	-1.6	209/279/316	107	283	11	11	28%	8%	70	-0.9	174/252/307	134	221	17	8	29%	8%	56	-0.5
✕Duke Sardinha 2006 · A	25	42→33	40→50	46→45	45	206/264/301	94	266	8	8	25%	7%	60	-1.6	199/246/325	126	276	14	6	32%	5%	59	-1.6	191/239/324	133	257	16	5	32%	5%	54	-1.1
✕Connor Blair 2022 · A	24	37	39→45	48→45	45	178/254/257	79	269	6	11	34%	9%	47	-2.5	194/282/305	111	306	12	8	37%	10%	69	-0.9	148/263/256	108	232	14	5	39%	12%	50	-0.8
✕Robbie Shields 2013 · A	25	43→38	39→40	47→45	45	207/262/298	91	262	6	8	23%	6%	58	-1.7	196/248/273	77	272	4	7	28%	6%	47	-2.5	176/222/238	61	248	2	5	28%	5%	26	-2.5
✕Marcus Knecht 2015 · A	25	39→42	42→45	48→50	40	194/255/300	106	273	8	7	31%	6%	57	-1.8	193/261/277	84	281	4	11	30%	7%	54	-2.0	167/243/236	69	251	2	13	31%	7%	36	-2.6
✕Caleb Hamilton 2019 · A	24	35	41→45	45	45	174/251/274	101	254	8	6	33%	9%	50	-2.3	187/255/288	101	273	9	8	33%	8%	54	-2.0	140/232/254	115	204	16	3	39%	10%	37	-1.0
✕Ryan McCarthy 2008 · A	25	43	39→45	48→45	43	204/266/287	83	283	6	6	29%	7%	57	-1.8	217/271/324	107	287	10	7	26%	6%	68	-1.0	207/256/325	118	260	11	4	25%	5%	58	-0.6
✕Brendt Citta 2021 · A	25	44	39→45	45→30	44	210/282/299	89	286	6	6	27%	7%	67	-1.1	218/272/315	97	311	7	3	31%	6%	66	-1.1	210/268/310	100	303	8	1	32%	6%	61	-0.7
✕Jorge Saez 2016 · A	25	38	39→45	46→30	45	183/253/268	85	261	6	3	31%	8%	49	-2.4	205/267/329	124	289	15	4	32%	7%	68	-1.0	206/268/336	130	281	18	3	33%	7%	68	-0.3
✕Camden Duzenack 2019 · A	24	39→36	39→50	46→50	41	191/253/277	87	252	5	11	26%	5%	51	-2.3	186/241/309	123	254	15	9	32%	5%	54	-2.0	211/258/338	126	272	14	10	27%	5%	64	-0.6
✕Joe Cronin 2018 · A	24	36	41→45	46→50	44	179/263/272	92	266	8	8	34%	8%	55	-2.0	185/271/281	96	287	9	9	35%	9%	59	-1.6	166/261/256	90	258	9	10	36%	9%	48	-1.2
✕Liam Spence 2023 · A	25	36	40	48→45	44	180/253/265	85	263	8	6	33%	8%	49	-2.4	198/272/287	89	298	7	8	33%	8%	60	-1.6	159/252/213	54	251	3	7	34%	10%	34	-0.6
✕Matt Winaker 2021 · A	25	38→39	41→45	46→45	43	188/268/289	101	255	8	7	28%	7%	60	-1.6	196/288/279	83	268	6	6	27%	9%	65	-1.2	176/280/248	72	240	5	3	26%	9%	54	-0.8

Career Stats + Projections

Career Comps

Career Path Comps