Player 829371 — OGILVIE

Player 8293711B DSL Angels

Age — —/— ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2038

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 93 proj PA

wRC+†62

AVG/OBP/SLG.197 / .286 / .267

PA93

HR1

K%29

BB%9

ISO71

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 Angels	—	139	101	17	3	1	0	23	29	10	7	4	168	373	218	591	50	227	21	17	292	25	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Angels	—	139	108	13	2	1	0	16	35	10	7	4	120	291	157	448	37	145	25	12	205	25	—	—	—	—	—	—
2026	—	ROK MLE	DSL Angels	—	139	108	13	2	1	0	16	35	10	7	4	120	291	157	448	37	171	25	12	205	25	—	—	—	—	—	—
2026	—	ROK RAW	DSL Angels	—	139	101	17	3	1	0	23	29	10	7	4	168	373	218	591	50	227	21	17	292	25	—	—	—	—	—	—
2026	25	ROK MLE	DSL Angels	—	139	112	13	2	1	0	16	35	10	7	4	116	291	152	443	36	145	25	12	205	25	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Angels	—	139	112	13	2	1	0	16	35	10	7	4	116	291	152	443	36	145	25	12	205	25	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	LAA	0%	200	176	36	6	2	1	17	59	5	5	1	199	288	269	558	71	288	30	8	260	62	-9	+1	+0	-4	+4	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	LAA	0%	160	141	28	5	1	1	14	47	4	4	1	202	290	280	570	78	288	29	9	265	65	-7	+0	+0	-3	+3	-0.6
2028	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	200	289	278	567	77	285	—	—	263	65	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	392	332	58	10	3	2	38	109	16	13	5	175	290	241	531	66	249	28	10	242	50	-11	+1	+0	-5	+5	-0.9
/ 162G	—	MLE		—	650	551	96	17	5	3	63	181	27	22	8	174	291	240	530	65	249	28	10	242	50	-28	+2	+0	-12	+14	-2.4

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
#3Travis Jankowskilast yr '25 career totals — 9 seasons, 1,718 PA	2.6	1,718	11	100	238	321	309	-9	+11	2.1	2.5
/162	664	4	39	-3.6	+4.2	0.8	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 2 projected seasons	0.4	253	2	7	201	287	277	-3	+0	-0.5	-0.2
/162	664	5	18	-8.9	+0.0	-1.3	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 829371 (OGILVIE)	25	—	—	—	—	197/286/267	70	288	1	2	29%	9%	62	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕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
✕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
✕Matt Whatley 2021 · A	25	39→37	38→40	52→50	46	189/263/263	75	259	5	15	28%	8%	52	-2.2	193/256/274	81	275	8	10	31%	7%	51	-2.2	172/233/253	81	229	10	8	29%	6%	36	-1.2
✕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
✕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
✕Logan Warmoth 2021 · AA	25	44→40	37→40	53→55	41	200/269/277	76	312	4	13	34%	7%	57	-1.8	197/277/296	99	311	9	20	36%	8%	65	-1.2	187/271/285	97	288	9	24	35%	8%	58	-1.1
✕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
✕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
✕Jackson Glenn 2023 · A	25	41	38→40	52→45	40	197/254/282	85	291	5	11	32%	6%	52	-2.2	203/250/304	101	279	10	8	30%	5%	55	-1.9	197/242/299	102	261	11	6	28%	5%	48	-1.3
✕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
✕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
✕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
✕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
✕Matt Pita 2021 · A	24	38	37→50	49→55	36	183/235/261	77	267	3	10	31%	4%	40	-3.1	200/260/334	134	278	14	16	32%	5%	68	-1.0	183/246/324	141	255	15	27	33%	5%	57	-0.6
✕Rob Henry 2019 · A	24	42	37→40	54→55	49	196/289/273	77	284	4	18	30%	10%	64	-1.3	185/270/264	79	327	6	12	41%	8%	55	-1.9	149/243/213	64	290	6	12	46%	8%	31	-2.4
✕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

Career Stats + Projections

Career Comps

Career Path Comps