Player 837674 — OGILVIE

Player 8376741B DSL Rojos

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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 84 proj PA

wRC+75

AVG/OBP/SLG.212 / .287 / .321

PA84

HR1

K%27

BB%8

ISO110

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 Rojos	—	106	85	24	10	0	4	14	17	5	5	2	282	413	541	955	259	303	16	13	412	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Rojos	—	106	89	15	6	0	2	10	21	5	5	2	169	288	303	592	135	179	20	9	258	61	—	—	—	—	—	—
2026	—	ROK MLE	DSL Rojos	—	106	89	15	6	0	2	10	21	5	5	2	169	288	303	592	135	191	20	9	258	61	—	—	—	—	—	—
2026	—	ROK RAW	DSL Rojos	—	106	85	24	10	0	4	14	17	5	5	2	282	413	541	955	259	303	16	13	412	61	—	—	—	—	—	—
2026	25	ROK MLE	DSL Rojos	—	106	90	15	6	0	2	10	21	5	5	2	167	288	300	588	133	179	20	9	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Rojos	—	106	90	15	6	0	2	10	21	5	5	2	167	288	300	588	133	179	20	9	258	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	—	0%	200	179	39	10	1	3	15	54	4	3	1	214	289	324	613	110	289	27	8	278	75	-6	+0	+0	-4	+4	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	—	0%	145	130	28	7	1	2	11	39	3	3	1	216	291	330	621	114	289	27	8	281	77	-4	+0	+0	-3	+3	-0.3
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	216	291	330	621	114	289	—	—	281	77	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	335	295	58	17	1	5	27	83	10	9	3	197	286	312	598	115	252	25	8	273	71	-7	+0	+0	-4	+5	-0.5
/ 162G	—	MLE		—	650	572	113	33	2	10	52	161	19	17	6	198	286	315	600	117	253	25	8	273	71	-19	+1	+0	-12	+14	-1.5

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	0.3	229	3	4	216	288	329	-3	+0	-0.2	-0.1
/162	664	9	12	-8.9	+0.0	-0.6	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 837674 (OGILVIE)	25	—	—	—	—	212/287/321	109	289	1	1	27%	8%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Devlin Granberg 2021 · A	25	45→44	40→45	46→45	42	216/281/312	96	287	7	6	26%	6%	69	-0.9	238/297/375	137	293	13	8	23%	5%	90	+0.6	243/303/387	143	295	14	8	22%	5%	91	+0.4
✕Sean Jamieson 2014 · A	25	43→44	43→45	50	44	210/276/328	118	277	10	12	27%	7%	71	-0.8	229/287/331	102	310	8	9	27%	6%	76	-0.4	232/290/322	90	317	6	7	27%	6%	71	-0.4
✕Jackson Brennan 2008 · A	25	43→41	42→40	47→50	47	208/298/311	103	280	9	10	27%	8%	77	-0.3	209/295/297	88	297	7	10	29%	9%	72	-0.7	165/280/182	17	263	0	6	32%	12%	40	-0.6
✕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
✕Kyler Fedko 2024 · A	24	42	43→50	50→55	52	208/295/320	112	268	10	10	25%	10%	77	-0.3	203/283/334	131	259	15	18	26%	9%	76	-0.4	195/275/339	144	243	18	22	27%	9%	72	-0.5
✕Tanner O'Tremba 2024 · A	24	43	43→45	54→50	40	205/296/322	116	309	10	13	34%	7%	78	-0.3	193/277/297	104	309	9	14	38%	7%	65	-1.2	132/229/210	78	232	8	17	42%	7%	27	-1.5
✕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
✕Dwanya Williams-Sutton 2021 · A	24	43	41→45	50	46	197/314/296	98	306	9	10	34%	10%	80	-0.1	209/311/330	121	327	12	13	36%	10%	86	+0.3	168/302/289	121	270	14	18	38%	11%	74	-0.2
✕Jeff McVaney 2015 · A	25	45→52	42→45	48→50	43	219/277/329	110	274	8	10	23%	6%	72	-0.7	227/294/324	97	281	6	13	20%	7%	77	-0.3	227/298/317	91	280	5	13	19%	7%	74	-0.4
✕Carter Howell 2024 · A	25	47→51	42→40	50	44	226/283/334	108	303	8	9	27%	7%	74	-0.5	217/277/311	94	289	6	11	25%	7%	67	-1.1	211/273/299	88	280	4	11	25%	6%	60	-1.2
✕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
✕Ronnie Richardson 2014 · A	24	43	41→40	47→50	45	211/274/317	106	277	8	8	26%	7%	68	-1.0	213/301/309	96	285	6	10	25%	9%	77	-0.3	204/305/297	93	275	5	10	24%	10%	74	-0.3
✕Jose Pineda 2007 · A	25	42→39	43→45	49→45	43	205/275/315	110	292	11	10	32%	8%	68	-1.0	216/270/360	144	301	17	7	33%	6%	76	-0.4	210/258/376	166	280	22	3	33%	5%	73	-0.5
✕Jeremy Cruz 2012 · A	25	45→43	41→45	45	40	218/262/321	102	289	9	7	27%	5%	63	-1.3	222/267/337	115	302	11	7	29%	5%	69	-0.9	224/255/367	143	306	16	0	32%	2%	68	-0.2
✕Preston Scott 2018 · A	24	44	44→45	49→50	41	216/283/339	124	293	11	10	29%	6%	76	-0.4	200/254/299	99	304	8	9	35%	5%	56	-1.9	173/221/255	83	276	7	8	38%	4%	32	-2.2
✕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
✕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
✕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
✕Nick Podkul 2022 · AA	25	39	44→50	51→50	46	196/271/312	116	260	11	11	28%	8%	66	-1.1	211/300/351	140	290	16	6	31%	9%	86	+0.3	202/300/344	142	280	17	3	32%	10%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps