Player 837765 — OGILVIE

Player 8377651B DSL Mets Orange

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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 132 proj PA

wRC+60

AVG/OBP/SLG.208 / .267 / .294

PA132

HR1

K%27

BB%6

ISO86

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	—	195	173	45	5	5	3	12	33	8	11	1	260	337	399	736	139	302	17	6	328	32	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Mets Orange	—	195	177	30	3	3	1	8	40	8	11	1	169	238	237	476	68	206	21	4	215	32	—	—	—	—	—	—
2026	—	ROK MLE	DSL Mets Orange	—	195	177	30	3	3	1	8	40	8	11	1	169	238	237	476	68	210	21	4	215	32	—	—	—	—	—	—
2026	—	ROK RAW	DSL Mets Orange	—	195	173	45	5	5	3	12	33	8	11	1	260	337	399	736	139	302	17	6	328	32	—	—	—	—	—	—
2026	25	ROK MLE	DSL Mets Orange	—	195	177	30	3	3	1	8	40	8	11	1	169	238	237	476	68	206	21	4	215	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Mets Orange	—	195	177	30	3	3	1	8	40	8	11	1	169	238	237	476	68	206	21	4	215	32	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	—	0%	245	225	47	7	3	2	14	67	4	7	1	210	269	297	566	86	286	27	6	257	60	-12	+1	+0	-4	+5	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	—	0%	192	176	37	5	2	2	11	52	3	6	1	213	272	306	579	94	286	27	6	262	63	-8	+1	+0	-3	+4	-0.7
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	213	272	306	579	94	286	—	—	262	63	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	519	474	93	12	7	4	27	128	13	21	3	196	259	276	535	80	257	25	5	243	51	-15	+1	+0	-6	+7	-1.2
/ 162G	—	MLE		—	650	594	117	15	9	5	34	160	16	26	4	197	259	278	537	81	258	25	5	243	51	-29	+2	+0	-12	+14	-2.5

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
#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	0.5	324	3	10	213	269	304	-4	+0	-0.8	-0.4
/162	664	7	21	-9.0	+0.0	-1.6	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 837765 (OGILVIE)	25	—	—	—	—	208/267/294	86	286	1	4	27%	6%	60	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Roller 2022 · AA	25	40	39→45	53→55	40	192/250/279	87	274	5	16	31%	6%	50	-2.3	189/266/297	108	285	10	16	35%	8%	61	-1.5	173/257/287	114	273	12	16	38%	8%	54	-1.2
✕Max George 2021 · A	25	40→39	41→45	54→55	43	195/279/295	99	285	9	20	32%	8%	65	-1.2	193/280/317	124	321	13	15	41%	8%	72	-0.7	149/258/287	138	249	17	20	43%	10%	55	-0.8
✕Nick Meyer 2021 · A	24	36	36→40	52→50	41	177/235/240	63	250	4	15	30%	6%	35	-3.4	215/285/296	81	280	8	14	24%	8%	67	-1.1	210/285/284	74	270	8	16	24%	8%	62	-0.6
✕Bubba Alleyne 2024 · A	25	35→29	41→40	54→55	38	177/232/272	95	256	8	20	33%	6%	41	-3.0	192/250/282	90	284	8	18	33%	6%	51	-2.3	189/252/277	88	283	8	21	34%	7%	47	-1.4
✕Chris Rotondo 2024 · A	25	44→40	41→45	57→50	45	204/294/311	108	309	7	12	33%	9%	75	-0.5	207/276/301	94	329	8	13	37%	7%	65	-1.2	194/256/265	71	324	7	16	40%	6%	46	-1.6
✕Travis Becktel 2008 · A	25	43→36	40	49→50	42	206/268/304	98	294	7	15	31%	7%	62	-1.4	205/257/312	107	300	8	15	32%	6%	60	-1.6	190/230/303	113	281	7	19	34%	4%	44	-1.0
✕Casio Grider 2013 · A	25	40→39	38→40	56→55	37	192/248/279	87	281	4	18	32%	5%	49	-2.4	198/253/282	84	300	6	23	34%	5%	51	-2.2	188/244/265	77	288	5	30	34%	5%	41	-1.5
✕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
✕Michael Suiter 2016 · A	24	40→38	37→40	49→50	38	194/244/266	72	257	5	12	26%	4%	45	-2.7	212/266/304	92	291	9	10	29%	5%	61	-1.5	213/272/311	97	295	12	8	30%	6%	63	-0.5
✕Nate Eaton 2022 · A	25	40→49	40→45	55→60	43	194/260/285	90	269	7	19	29%	7%	55	-1.9	215/270/336	121	283	13	28	28%	6%	70	-0.8	210/267/331	121	274	12	27	27%	6%	67	-0.8
✕Tanner Kirwer 2021 · A	25	45	38→40	56→60	40	209/275/285	76	314	5	19	33%	7%	61	-1.5	207/286/305	98	294	11	33	31%	8%	70	-0.8	193/276/279	86	273	10	41	31%	8%	58	-0.9
✕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
✕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
✕Chad Christensen 2016 · A	25	43→44	38→40	53→55	38	205/255/282	77	304	5	16	33%	6%	52	-2.2	204/256/286	82	314	6	15	35%	6%	53	-2.1	152/203/215	63	237	8	18	38%	5%	14	-1.1
✕Michael O'Neill 2016 · A	24	39→41	40→45	50→55	36	194/242/283	89	278	8	18	32%	5%	48	-2.5	208/256/311	103	300	9	18	32%	5%	59	-1.6	208/259/316	108	298	10	22	32%	5%	59	-1.2
✕Andrés Alvarez 2022 · A	25	45→32	43→45	51→50	41	218/275/328	110	304	10	15	31%	7%	71	-0.8	198/267/319	121	282	14	14	33%	8%	66	-1.1	186/258/301	115	262	13	13	33%	8%	57	-1.1
✕Michael Sandle 2023 · A	24	41→38	43→45	56→50	38	203/256/312	109	279	10	16	30%	5%	59	-1.6	186/240/287	101	269	10	14	33%	5%	48	-2.5	144/199/235	91	208	11	16	35%	5%	19	-3.0
✕Niko Decolati 2023 · AA	25	44→46	40→45	54→55	43	211/279/300	89	305	8	21	32%	8%	65	-1.2	209/301/293	84	310	6	16	31%	9%	74	-0.6	202/314/273	72	299	5	18	30%	11%	73	-0.3
✕Andrew Cain 2015 · A	25	41→37	45→50	57→50	39	206/257/331	125	284	12	14	31%	6%	64	-1.3	188/245/307	119	313	12	9	41%	6%	55	-2.0	149/210/265	116	250	13	8	44%	6%	30	-2.4
✕Tyler Stubblefield 2013 · A	25	42	38→45	51→50	46	199/275/280	82	259	6	12	24%	7%	60	-1.6	213/267/316	103	260	8	9	21%	6%	65	-1.2	211/249/324	113	245	8	5	17%	4%	55	-0.8

Career Stats + Projections

Career Comps

Career Path Comps