Player 836588 — OGILVIE

Player 8365881B DSL Angels

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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 131 proj PA

wRC+†66

AVG/OBP/SLG.205 / .293 / .274

PA131

HR1

K%28

BB%10

ISO70

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	—	194	145	42	2	2	2	41	33	6	19	6	290	464	372	836	83	364	17	21	389	65	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Angels	—	194	157	29	1	1	1	29	40	6	19	6	185	333	223	556	38	240	21	15	265	65	—	—	—	—	—	—
2026	—	ROK MLE	DSL Angels	—	194	157	29	1	1	1	29	40	6	19	6	185	333	223	556	38	241	21	15	265	65	—	—	—	—	—	—
2026	—	ROK RAW	DSL Angels	—	194	145	42	2	2	2	41	33	6	19	6	290	464	372	836	83	364	17	21	389	65	—	—	—	—	—	—
2026	25	ROK MLE	DSL Angels	—	194	157	29	1	1	1	29	40	6	19	6	185	333	223	556	38	240	21	15	265	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Angels	—	194	157	29	1	1	1	29	40	6	19	6	185	333	223	556	38	240	21	15	265	65	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	LAA	0%	244	215	44	5	2	2	24	68	3	7	1	207	295	277	572	70	288	28	10	266	66	-10	+1	+0	-4	+5	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	LAA	0%	192	169	35	4	1	2	18	53	3	6	1	209	297	288	585	79	288	28	9	271	69	-7	+1	+0	-3	+4	-0.6
2028	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	209	296	286	583	78	286	—	—	270	69	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	517	441	88	8	3	4	60	129	11	29	8	200	311	259	569	59	271	25	12	267	67	-12	+1	+0	-6	+7	-1.0
/ 162G	—	MLE		—	650	554	111	10	4	5	75	162	14	36	10	200	311	260	571	60	272	25	12	267	67	-25	+2	+0	-12	+14	-2.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Guillermo 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
#2Travis 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
#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	323	3	10	209	294	285	-4	+0	-0.5	-0.2
/162	664	6	21	-9.0	+0.0	-1.0	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 836588 (OGILVIE)	25	—	—	—	—	205/293/274	69	288	1	4	28%	10%	66	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕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
✕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
✕Danny Payne 2011 · A	25	39→41	41→45	55→50	48	190/277/293	103	282	8	19	33%	10%	64	-1.3	198/279/320	122	314	11	14	37%	10%	71	-0.8	175/269/315	140	286	13	11	40%	11%	66	-0.7
✕River Town 2024 · A	25	44→38	42→40	54→50	49	216/299/317	102	268	10	18	22%	8%	78	-0.3	215/304/301	86	265	6	11	20%	9%	76	-0.4	191/302/252	61	231	2	5	16%	11%	65	-0.5
✕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
✕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
✕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
✕Donta' Williams 2023 · A	24	43→34	39→40	56→55	47	200/283/291	91	291	6	21	31%	9%	65	-1.2	186/272/268	82	283	5	20	33%	9%	57	-1.8	166/256/236	71	255	5	20	33%	9%	42	-1.2
✕Jeremy Rathjen 2014 · A	24	43→40	42→45	51→50	46	210/284/313	103	270	9	17	25%	8%	71	-0.8	205/265/339	134	271	15	11	29%	6%	70	-0.9	193/250/343	150	249	19	7	30%	6%	62	-0.8
✕Connor Kokx 2024 · AA	24	44	39→40	54→60	48	209/298/296	87	286	6	23	27%	9%	73	-0.6	216/293/300	84	304	6	22	29%	7%	72	-0.7	199/279/224	26	297	0	37	30%	5%	46	-0.5
✕J.T. Arruda 2023 · A	25	42	40	56→55	47	200/275/295	95	290	7	17	31%	9%	63	-1.4	204/275/290	86	289	6	20	29%	8%	62	-1.4	207/270/292	85	284	7	22	28%	7%	58	-1.0
✕Justin Farmer 2023 · A	24	38→32	43→40	54→55	50	183/286/289	106	286	11	20	36%	12%	68	-1.0	187/262/275	88	306	8	18	38%	9%	54	-2.0	160/223/221	61	269	5	22	40%	7%	25	-2.3
✕Alerick Soularie 2023 · A	24	40	44→45	53→60	44	195/276/310	114	290	11	16	34%	9%	68	-1.0	200/282/313	113	289	12	26	32%	9%	71	-0.8	182/274/287	105	255	13	39	32%	9%	61	-0.5
✕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

Career Stats + Projections

Career Comps

Career Path Comps