Player 837964 — OGILVIE

Player 8379641B DSL Brewers Gold

Age — —/— ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION61 act + 11 ros · stats below = ROS only

showingROS

wRC+75

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP266

ISO109

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	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. 2026 = actual YTD + projected ROS + total. 2027+ 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	—	ROK MLE	DSL Brewers Gold	—	61	53	7	1	0	2	7	10	1	10	0	132	246	264	510	132	122	16	11	234	45	-4	+2	+0	-1	+1	-0.2
▸ 2026 season
YTD	—	ROK RAW	DSL Brewers Gold	—	61	48	9	2	0	2	12	7	1	10	0	188	361	354	715	167	179	11	20	334	45	—	—	—	—	—	—
ROS	—	ROK MLE	—	0%	11	10	1	0	0	0	1	3	0	1	0	100	182	100	282		266	27	9	279	75	-0	+0	+0	-0	+0	-0.0
TOT	—	ROK MLE	—	—	72	63	8	1	0	2	8	13	1	11	0	127	236	238	474	111	125	18	11	241	49	-4	+2	+0	-1	+2	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	—	0%	160	142	31	6	1	3	15	39	2	7	0	218	302	338	640	120	271	24	9	284	78	-4	+1	+0	-3	+3	-0.2
2028	25	MLB MLE	—	0%	306	272	59	11	2	6	28	75	3	12	1	217	297	338	635	121	272	25	9	288	81	-7	+2	+0	-5	+7	-0.4
2029	25	MLB MLE	—	0%	404	360	78	15	2	8	37	98	4	16	1	217	297	336	633	119	273	24	9	290	82	-9	+3	+0	-7	+9	-0.4
2030	25	MLB MLE	—	0%	469	418	91	17	2	10	43	114	5	19	1	218	298	340	638	122	273	24	9	291	83	-10	+3	+0	-8	+10	-0.4
2031	25	MLB MLE	—	0%	514	455	100	19	3	11	48	125	6	21	1	220	303	347	650	127	273	24	9	291	83	-10	+4	+0	-9	+11	-0.5
2032	25	MLB MLE	—	0%	545	483	106	20	3	12	51	132	6	22	1	219	302	348	650	128	272	24	9	291	83	-11	+4	+0	-10	+12	-0.5
2033	25	MLB MLE	—	0%	567	503	111	21	3	13	53	138	6	23	2	221	302	352	654	131	272	24	9	292	83	-11	+4	+0	-10	+12	-0.5
2034	25	MLB MLE	—	0%	584	518	113	21	3	13	54	142	7	24	2	218	301	346	646	127	272	24	9	292	84	-11	+4	+0	-10	+13	-0.5
2027	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	271	—	—	284	78	—	—	+0	-0	—	—
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	272	—	—	288	81	—	—	+0	-0	—	—
2029	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	273	—	—	290	82	—	—	+0	-0	—	—
2030	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	273	—	—	291	83	—	—	+0	-0	—	—
2031	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	273	—	—	291	83	—	—	+0	-0	—	—
2032	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	272	—	—	291	83	—	—	+0	-0	—	—
2033	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	272	—	—	292	83	—	—	+0	-0	—	—
2034	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	272	—	—	292	84	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3560	3161	690	130	19	76	330	866	39	145	9	218	300	344	644	125	274	24	9	290	83	-73	+25	+0	-64	+77	-3.5
/ 162G	—	MLE		—	650	577	126	24	3	14	60	158	7	26	2	218	299	343	642	125	275	24	9	290	83	-13	+5	+0	-12	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#4Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#6Eric Young Jr.last yr '18 career totals — 9 seasons, 1,925 PA	2.9	1,925	13	161	245	312	332	-11	-8	1.2	1.6
/162	664	4	56	-3.9	-2.7	0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.6	3,707	79	150	219	297	344	-41	+0	1.5	1.5
/162	664	14	27	-7.3	+0.0	0.3	pk7: 2

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 837964 (OGILVIE)	25	—	—	—	—	207/289/317	110	266	3	8	25%	9%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonathan Davis 2017 · A	25	42→52	46→45	55	45	207/293/340	133	287	12	21	30%	8%	81	-0.1	221/300/334	113	289	9	19	25%	8%	82	-0.0	221/304/328	106	311	9	22	29%	9%	79	-0.1
✕Brian O'Grady 2017 · A	25	39→38	43→55	54→50	49	193/279/308	115	268	10	14	30%	10%	68	-1.0	200/271/341	141	275	15	14	31%	8%	72	-0.7	208/271/384	177	275	20	15	31%	7%	81	-0.0
✕Jeremy Rathjen 2014 · A	24	44→40	42→45	51→50	47	212/287/316	104	274	9	17	25%	8%	73	-0.6	207/267/342	135	274	15	11	29%	6%	72	-0.7	196/253/347	151	253	19	7	30%	6%	64	-0.7
✕Kyle Datres 2022 · A	26	40→42	47→50	54→55	46	201/285/337	136	272	14	18	30%	9%	78	-0.3	212/290/348	136	290	16	23	31%	8%	82	-0.0	203/285/337	134	276	17	26	31%	8%	75	-0.3
✕Lane Adams 2015 · AA	25	46	43→45	57→60	43	224/279/338	114	287	10	27	25%	6%	74	-0.5	228/281/349	121	306	12	31	28%	6%	77	-0.3	227/280/350	123	310	14	36	30%	6%	74	-0.4
✕Phillip Ervin 2017 · AA	25	42→51	44→50	55	48	207/286/327	120	254	12	25	23%	8%	76	-0.4	228/295/356	128	288	12	22	24%	7%	84	+0.2	235/299/371	136	298	13	21	24%	7%	86	+0.3
✕José Caballero 2021 · A	24	46	41→45	52→70	47	220/294/324	104	280	8	25	24%	8%	77	-0.3	221/324/338	117	285	11	35	24%	11%	93	+0.8	225/318/339	113	300	10	63	26%	9%	88	+0.3
✕Allen Córdoba 2021 · A	25	47→52	40→45	53→55	40	228/277/321	93	297	7	20	25%	5%	70	-0.9	229/299/337	108	283	9	16	21%	6%	82	+0.0	227/303/337	110	275	9	18	20%	6%	82	+0.0
✕Michael Gigliotti 2022 · A	26	45	42→40	54→55	44	216/292/329	113	304	9	20	30%	8%	78	-0.3	207/305/315	108	284	10	20	28%	10%	80	-0.2	194/303/291	97	263	9	24	27%	11%	73	-0.3
✕Anthony Seratelli 2008 · A	25	46→48	46→45	56→55	46	229/291/363	134	291	12	19	25%	8%	84	+0.2	206/263/302	96	297	8	17	31%	7%	59	-1.6	230/302/348	119	296	13	20	25%	9%	84	+0.1
✕Justin Dean 2021 · A	24	47→49	42→45	58→65	44	222/293/331	108	316	8	23	30%	8%	78	-0.3	203/281/302	99	319	8	27	36%	8%	68	-1.0	212/292/295	83	324	7	47	34%	9%	67	-0.7
✕Nate Eaton 2022 · A	25	40→50	40→45	55→60	43	197/264/288	91	273	7	19	29%	7%	57	-1.8	216/270/336	120	285	13	28	28%	6%	71	-0.8	213/270/337	124	278	12	27	27%	6%	68	-0.7
✕Dylan Moore 2017 · A	24	44→48	44→50	54→65	47	216/295/339	123	274	11	23	24%	8%	81	-0.1	209/275/329	120	265	11	18	25%	7%	71	-0.8	207/330/379	172	285	16	41	30%	12%	101	+0.7
✕Jimmy Herron 2021 · A	25	40→45	41→45	48→55	47	196/269/292	96	252	8	14	25%	8%	61	-1.5	213/289/334	121	273	12	18	25%	8%	78	-0.3	219/295/351	133	265	15	24	23%	8%	81	-0.0
✕Mario Lisson 2008 · A	24	47→49	42→50	52→55	43	226/287/335	108	297	9	19	26%	6%	76	-0.4	206/252/317	111	266	11	17	26%	5%	59	-1.6	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Anthony Norman 2010 · A	25	45→42	47→50	60→55	50	223/302/368	145	266	13	19	22%	8%	90	+0.6	211/279/321	110	284	8	11	27%	7%	70	-0.8	206/275/315	109	281	7	9	27%	7%	67	-0.3
✕Danny Payne 2011 · A	25	40→42	41→45	55→50	49	193/281/298	105	287	8	19	33%	10%	67	-1.1	201/284/326	125	320	11	14	37%	10%	74	-0.5	180/277/325	145	297	13	11	40%	11%	71	-0.5
✕Jared Oliva 2019 · A	23	46→48	42→45	56→65	42	222/289/334	112	305	9	24	29%	7%	78	-0.3	221/279/318	97	306	7	25	28%	6%	70	-0.9	223/290/349	126	282	12	55	24%	7%	77	-0.2
✕Sean Jamieson 2013 · A	24	41→45	43→45	53→50	48	203/279/317	114	256	10	15	24%	8%	70	-0.8	227/288/340	113	300	9	10	26%	6%	78	-0.3	236/295/344	109	315	9	9	26%	6%	78	-0.2
✕Daniel Lyons 2010 · A	25	44→48	40→45	51→50	50	209/293/306	97	268	7	15	23%	9%	73	-0.6	199/284/276	77	275	4	12	27%	9%	63	-1.4	176/273/228	52	251	2	11	27%	10%	47	-1.5

Career Stats + Projections

Career Comps

Career Path Comps