Player 838101 — OGILVIE

Player 8381011B DSL LAD Mega

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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 91 proj PA

wRC+63

AVG/OBP/SLG.203 / .276 / .290

PA91

HR1

K%30

BB%8

ISO88

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 LAD Mega	—	130	108	26	6	0	4	21	28	1	5	1	241	369	407	777	167	289	22	16	353	37	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL LAD Mega	—	130	114	17	4	0	2	15	34	1	5	1	149	254	237	491	88	191	26	12	223	37	—	—	—	—	—	—
2026	—	ROK MLE	DSL LAD Mega	—	130	114	17	4	0	2	15	34	1	5	1	149	254	237	491	88	192	26	12	223	37	—	—	—	—	—	—
2026	—	ROK RAW	DSL LAD Mega	—	130	108	26	6	0	4	21	28	1	5	1	241	369	407	777	167	289	22	16	353	37	—	—	—	—	—	—
2026	25	ROK MLE	DSL LAD Mega	—	130	113	17	4	0	2	15	34	1	5	1	150	254	239	493	88	191	26	12	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL LAD Mega	—	130	113	17	4	0	2	15	34	1	5	1	150	254	239	493	88	191	26	12	223	37	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	—	0%	200	180	37	7	1	2	17	59	1	4	1	205	278	293	571	88	288	30	8	261	63	-9	+0	+0	-4	+4	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	—	0%	156	141	29	5	1	2	13	46	1	3	1	207	280	301	581	93	288	29	8	265	66	-6	+0	+0	-3	+3	-0.6
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	207	280	301	581	93	288	—	—	265	66	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	377	337	63	12	2	5	36	107	3	10	2	187	271	279	550	92	257	28	10	250	55	-10	+1	+0	-4	+5	-0.9
/ 162G	—	MLE		—	650	581	109	21	3	9	62	184	5	17	3	188	272	281	552	93	256	28	10	250	55	-27	+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
#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	247	3	5	207	277	299	-3	+0	-0.5	-0.2
/162	664	8	13	-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 838101 (OGILVIE)	25	—	—	—	—	203/276/290	87	288	1	2	30%	8%	63	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕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
✕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
✕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
✕Sam Praytor 2024 · A	25	37	42→45	49→55	40	187/249/289	101	268	10	6	33%	6%	53	-2.1	203/271/315	112	272	11	8	28%	8%	67	-1.1	191/269/298	107	248	11	9	26%	8%	59	-0.5
✕Duke Sardinha 2006 · A	25	42→33	40→50	46→45	45	206/264/301	94	266	8	8	25%	7%	60	-1.6	199/246/325	126	276	14	6	32%	5%	59	-1.6	191/239/324	133	257	16	5	32%	5%	54	-1.1
✕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
✕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
✕Marcus Knecht 2015 · A	25	39→42	42→45	48→50	40	194/255/300	106	273	8	7	31%	6%	57	-1.8	193/261/277	84	281	4	11	30%	7%	54	-2.0	167/243/236	69	251	2	13	31%	7%	36	-2.6
✕Ryan McCarty 2024 · A	25	41→38	43→45	47→50	43	198/274/311	113	289	9	8	33%	8%	67	-1.1	196/265/293	97	275	9	11	30%	7%	59	-1.6	187/259/272	85	258	9	12	29%	7%	50	-1.4
✕Jonny Butler 2023 · A	24	43→33	40→50	53→55	43	208/268/304	97	296	7	10	31%	8%	62	-1.4	191/262/306	115	264	10	17	30%	8%	61	-1.5	174/250/289	115	235	10	18	29%	8%	50	-1.2
✕Camden Duzenack 2019 · A	24	39→36	39→50	46→50	41	191/253/277	87	252	5	11	26%	5%	51	-2.3	186/241/309	123	254	15	9	32%	5%	54	-2.0	211/258/338	126	272	14	10	27%	5%	64	-0.6
✕Jacob Wetzel 2024 · A	24	38→34	41→45	50	44	185/262/277	92	271	8	12	33%	8%	55	-2.0	199/275/320	121	288	9	14	31%	9%	69	-0.9	196/279/346	150	275	11	17	30%	10%	75	-0.3
✕Grae Kessinger 2022 · AA	24	38→30	42→45	48→50	41	192/253/286	94	259	11	15	30%	6%	53	-2.1	198/271/310	112	262	13	14	28%	8%	66	-1.1	186/264/278	92	250	9	8	27%	8%	55	-0.8
✕Tony Bullard 2024 · A	24	40	44→40	52→50	43	202/263/315	113	267	12	12	29%	7%	63	-1.3	214/271/319	105	285	9	12	27%	6%	68	-1.0	210/267/311	102	278	9	13	27%	6%	61	-0.5
✕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
✕Colin Davis 2024 · A	25	39	45	51→50	41	199/255/320	121	267	12	12	30%	6%	61	-1.5	183/248/293	110	260	12	11	33%	6%	53	-2.1	154/229/257	103	218	14	11	35%	6%	36	-1.0
✕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