Player 806039 — OGILVIE

Player 8060391B Stockton Ports

Age — —/— A HR -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION137 act + 18 ros · stats below = ROS only

showingROS

wRC+†90

AVG/OBP/SLG.250 / .333 / .500

PA18

HR0

K%33

BB%11

BABIP301

ISO250

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$1M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	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	—	A MLE	OAK	—	137	117	25	4	2	6	16	51	4	14	1	214	328	436	764	222	317	37	12	332	111	+2	+2	+0	-2	+3	0.5
▸ 2026 season
YTD	—	A RAW	OAK	—	137	110	32	6	3	7	23	38	4	14	1	291	431	591	1.022	300	385	28	17	442	111	—	—	—	—	—	—
ROS	—	A MLE	OAK	0%	18	16	4	1	0	1	2	6	0	1	0	250	333	500	833	250	296	33	11	301	90	-0	+0	+0	-0	+0	0.0
TOT	—	A MLE	OAK	—	155	133	29	5	2	7	18	57	4	15	1	218	329	444	773	226	319	37	12	328	108	+2	+3	+0	-3	+3	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	OAK	0%	311	274	58	10	3	9	29	100	5	13	2	212	299	369	667	157	295	32	9	302	91	-3	+2	+0	-6	+7	-0.0
2028	25	MLB MLE	OAK	0%	405	359	78	14	4	12	37	127	6	17	2	217	301	379	680	162	294	31	9	304	92	-4	+3	+0	-7	+9	0.0
2029	25	MLB MLE	OAK	0%	469	416	90	16	4	14	43	145	7	19	2	216	300	375	675	159	294	31	9	305	93	-4	+3	+0	-8	+10	0.1
2030	25	MLB MLE	OAK	0%	512	452	100	18	5	16	47	157	8	21	3	221	306	389	695	168	293	31	9	306	93	-4	+3	+0	-9	+11	0.1
2031	25	MLB MLE	OAK	0%	542	479	106	19	5	17	50	166	8	23	3	221	305	388	694	167	293	31	9	306	93	-4	+3	+0	-10	+12	0.1
2032	25	MLB MLE	OAK	0%	564	499	108	19	5	17	52	173	8	23	3	216	301	377	677	160	293	31	9	306	93	-4	+3	+0	-10	+12	0.1
2033	25	MLB MLE	OAK	0%	579	511	112	20	5	18	54	178	9	24	3	219	305	384	688	164	292	31	9	306	93	-5	+4	+0	-10	+13	0.1
2034	25	MLB MLE	OAK	0%	592	523	113	20	5	18	55	181	9	25	3	216	302	377	678	161	292	31	9	306	93	-5	+4	+0	-11	+13	0.1
2027	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	300	—	—	293	91	—	—	+0	-0	—	—
2028	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	300	—	—	295	92	—	—	+0	-0	—	—
2029	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	299	—	—	297	93	—	—	+0	-0	—	—
2030	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	299	—	—	297	93	—	—	+0	-0	—	—
2031	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	299	—	—	297	93	—	—	+0	-0	—	—
2032	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	298	—	—	297	93	—	—	+0	-0	—	—
2033	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	298	—	—	297	93	—	—	+0	-0	—	—
2034	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	297	—	—	297	93	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3992	3529	769	137	36	122	369	1233	60	166	21	218	303	381	684	163	295	31	9	306	93	-34	+25	+0	-71	+86	0.6
/ 162G	—	MLE		—	650	575	125	22	6	20	60	201	10	27	3	217	302	381	683	163	294	31	9	306	93	-5	+4	+0	-12	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.4	4,282	130	176	218	299	381	-48	+0	6.2	6.0
/162	664	20	27	-7.5	+0.0	1.0	pk7: 6
#4Michael 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
#5Gregory 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
#6Dustin 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

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 806039 (OGILVIE)	25	—	—	—	—	209/297/369	160	296	9	16	33%	9%	90	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕Elijah Dunham 2022 · A	24	44→42	47→50	55→60	45	219/291/363	144	292	14	21	29%	8%	85	+0.2	209/281/351	142	283	14	27	30%	8%	78	-0.3	199/272/342	143	270	15	29	30%	8%	71	-0.7
✕Keon Broxton 2015 · AA	25	45→50	47→55	54→60	39	221/274/361	141	315	15	16	34%	6%	78	-0.3	228/296/382	154	343	15	32	35%	8%	91	+0.6	224/300/388	164	339	17	38	36%	9%	92	+0.6
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Chad Hinshaw 2015 · A	24	45→43	47→45	56→55	39	220/296/364	144	302	14	23	31%	6%	88	+0.4	214/287/317	103	310	8	24	31%	7%	73	-0.6	201/274/282	81	300	6	25	32%	7%	57	-0.9
✕Brewer Hicklen 2021 · A	25	44→52	47→50	56→60	35	212/273/347	135	330	16	25	39%	6%	75	-0.5	201/276/348	147	314	17	32	39%	8%	77	-0.3	212/288/361	150	295	19	38	33%	7%	82	-0.0
✕Eli Iorg 2008 · A	25	45→50	47→50	59→55	37	226/266/369	143	303	14	24	30%	4%	76	-0.4	229/264/344	115	313	10	17	29%	4%	69	-0.9	240/270/352	112	320	10	19	28%	3%	70	-0.7
●Rafael Lantigua 2022 · A	24	45→55	45	53→55	45	223/287/353	130	295	13	20	28%	8%	81	-0.1	247/317/352	105	324	8	18	24%	9%	91	+0.7	251/326/344	93	326	6	18	23%	9%	90	+0.5
✕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
✕Terry Evans 2007 · AA	25	45→52	51→55	53→55	38	231/285/389	157	311	20	20	32%	5%	89	+0.5	236/279/383	147	328	16	21	32%	5%	84	+0.2	230/270/375	145	320	15	23	32%	5%	77	-0.2
✕Cody Strait 2007 · A	24	43→48	47→50	57→55	40	218/276/358	140	287	14	26	29%	5%	78	-0.3	216/263/352	136	283	13	19	28%	5%	72	-0.7	222/266/344	122	285	10	17	25%	5%	67	-0.7
✕José Caballero 2022 · AA	25	44→46	44→45	55→70	47	218/294/339	121	286	11	29	27%	8%	81	-0.1	224/328/338	114	288	11	41	24%	11%	94	+0.9	225/318/339	113	300	10	63	26%	9%	88	+0.3
✕Zach Kokoska 2023 · A	24	43	50→55	56→55	42	220/284/372	152	280	18	16	28%	6%	84	+0.2	197/264/361	164	273	20	17	35%	6%	75	-0.5	170/241/333	163	239	21	19	38%	6%	58	-0.9
✕Jeremy Rathjen 2015 · A	25	43→40	47→45	51→50	44	216/284/353	137	278	15	14	27%	7%	80	-0.1	204/259/329	125	276	13	9	30%	6%	65	-1.2	161/210/268	107	215	12	5	31%	5%	29	-1.6
✕Jose Siri 2019 · AA	24	40→50	48→60	59→55	34	206/244/355	149	297	15	22	36%	4%	65	-1.2	211/255/338	127	328	13	23	38%	5%	65	-1.2	233/280/442	210	319	27	25	35%	5%	98	+0.8
✕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
✕Alex Castellanos 2012 · AA	25	47→51	49→55	53→50	38	235/287/394	159	315	15	13	30%	5%	91	+0.6	219/284/373	154	298	16	16	31%	6%	84	+0.2	207/266/345	139	303	13	8	34%	6%	69	-0.5
✕Jonny DeLuca 2022 · A	24	40→37	53→60	56→55	45	216/275/390	173	253	21	15	24%	7%	85	+0.2	224/289/407	183	256	22	16	22%	7%	95	+0.9	221/290/400	179	249	21	19	21%	7%	91	+0.4
✕Drew Ferguson 2017 · AA	24	49→50	45	53→55	44	240/306/370	130	319	12	21	28%	7%	92	+0.7	238/315/349	111	322	10	18	27%	9%	91	+0.6	235/320/338	103	319	9	20	27%	9%	87	+0.2

Career Stats + Projections

Career Comps

Career Path Comps