Player 836277 — OGILVIE

Player 8362771B DSL Angels

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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 111 proj PA

wRC+†70

AVG/OBP/SLG.213 / .296 / .287

PA111

HR1

K%25

BB%10

ISO75

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	—	169	130	35	8	1	0	34	17	3	12	10	269	431	346	777	77	310	10	20	363	53	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Angels	—	169	140	25	5	1	0	24	21	3	12	10	179	311	229	540	50	199	12	14	246	53	—	—	—	—	—	—
2026	—	ROK MLE	DSL Angels	—	169	140	25	5	1	0	24	21	3	12	10	179	311	229	540	50	210	12	14	246	53	—	—	—	—	—	—
2026	—	ROK RAW	DSL Angels	—	169	130	35	8	1	0	34	17	3	12	10	269	431	346	777	77	310	10	20	363	53	—	—	—	—	—	—
2026	25	ROK MLE	DSL Angels	—	169	140	25	5	1	0	24	21	3	12	10	179	311	229	540	50	199	12	14	246	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Angels	—	169	140	25	5	1	0	24	21	3	12	10	179	311	229	540	50	199	12	14	246	53	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	LAA	0%	219	194	41	7	2	1	21	54	2	5	1	215	298	290	588	75	287	25	10	272	70	-8	+1	+0	-4	+5	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	LAA	0%	176	155	33	6	1	1	17	43	2	4	1	217	300	300	600	83	287	24	10	276	73	-6	+0	+0	-3	+4	-0.5
2028	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	216	299	298	596	82	285	—	—	274	73	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	456	393	80	15	3	2	52	91	6	18	11	204	306	272	578	69	258	20	11	264	65	-10	+1	+0	-5	+6	-0.8
/ 162G	—	MLE		—	650	560	114	21	4	3	74	130	9	26	16	204	306	271	578	68	258	20	11	264	65	-22	+2	+0	-12	+14	-1.8

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	0.4	287	2	6	217	297	298	-4	+0	-0.4	-0.2
/162	664	5	14	-8.9	+0.0	-0.9	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 836277 (OGILVIE)	25	—	—	—	—	213/296/287	74	287	1	2	25%	10%	70	-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
✕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
✕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
✕Will Piwnica-Worms 2014 · A	24	44	38→40	49→50	50	207/287/286	78	267	5	9	23%	9%	65	-1.2	209/275/301	92	287	8	8	28%	7%	65	-1.2	182/244/266	84	253	9	5	30%	6%	45	-1.0
✕Stephen Wickens 2014 · A	25	48→45	37→40	51→55	50	222/299/303	80	269	4	14	18%	8%	74	-0.5	219/280/293	74	275	4	16	20%	7%	64	-1.3	222/278/280	58	278	2	20	19%	6%	58	-0.8
✕Jack Dunn 2022 · A	25	49→48	38→40	53→55	47	232/294/310	78	296	6	15	23%	7%	73	-0.6	222/304/296	74	290	6	18	23%	9%	74	-0.5	213/306/284	71	274	6	21	22%	10%	71	-0.6
✕Matt Thayer 2007 · A	25	49→45	38→40	50	46	230/290/312	82	295	5	14	23%	7%	72	-0.7	226/293/298	72	303	4	12	25%	8%	70	-0.8	231/308/275	44	315	2	12	24%	8%	68	-0.5
✕Marty Gantt 2015 · A	25	46	40	51→50	43	219/283/319	100	307	7	11	29%	7%	72	-0.7	215/284/319	104	288	8	11	26%	8%	72	-0.7	197/272/296	98	255	8	12	24%	8%	59	-0.8
✕Daniel Lyons 2010 · A	25	43→47	40	51→50	49	206/289/302	96	264	7	15	23%	8%	70	-0.8	196/279/271	75	271	4	12	27%	9%	60	-1.6	170/265/220	50	242	2	11	27%	9%	42	-1.7
✕Nick Podkul 2021 · A	24	44	38→50	53→50	48	207/283/291	84	275	5	14	25%	9%	65	-1.2	204/289/333	129	276	14	8	29%	9%	78	-0.3	202/300/344	142	280	17	3	32%	10%	81	-0.0
✕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
✕Jimmy Herron 2021 · A	25	40→48	41→45	48→55	47	196/269/292	95	251	8	14	25%	8%	60	-1.6	217/293/338	121	276	12	18	24%	8%	80	-0.2	228/301/359	131	273	14	24	21%	8%	85	+0.2
✕Kevin Heller 2015 · AA	25	41→45	41→40	49→50	41	198/277/294	96	292	8	11	33%	7%	65	-1.2	214/291/318	104	318	9	11	33%	7%	75	-0.5	211/293/311	100	318	10	12	34%	7%	72	-0.5
✕Joseph Bonadonna 2011 · A	25	47	40	51→50	45	224/287/320	96	303	6	13	27%	7%	73	-0.6	200/259/285	85	283	6	15	30%	6%	55	-2.0	143/202/191	48	204	4	22	31%	5%	11	-1.6
✕T.J. White 2017 · AA	25	43→45	39→45	51→45	43	207/269/295	88	267	6	10	24%	6%	61	-1.5	210/269/336	126	273	12	6	27%	6%	70	-0.8	202/262/345	143	255	15	2	27%	5%	68	-0.5
✕Mike Ahmed 2016 · A	24	45→44	37→50	50	45	211/276/287	76	293	4	13	28%	8%	61	-1.5	212/277/334	122	306	13	9	33%	8%	73	-0.6	202/269/333	131	293	16	7	35%	7%	68	-0.5
✕Cade Gotta 2016 · A	24	40→50	41→45	53→55	42	196/255/297	101	272	7	15	30%	7%	56	-1.9	230/275/329	99	292	6	27	22%	6%	70	-0.8	240/299/336	96	305	5	36	21%	7%	79	-0.1
✕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
✕Francisco Acuna 2024 · A	24	41→47	40→45	48→50	43	200/270/292	92	268	6	11	27%	6%	61	-1.5	215/289/313	98	283	8	15	25%	8%	73	-0.6	200/287/301	101	265	10	18	26%	9%	68	-0.7
✕Chris Emanuele 2009 · A	25	44	40→45	49→50	43	212/278/311	99	286	7	9	27%	7%	68	-1.0	213/273/316	103	296	9	13	30%	6%	67	-1.1	206/261/305	100	289	10	17	31%	5%	57	-1.3

Career Stats + Projections

Career Comps

Career Path Comps