Player 836584 — OGILVIE

Player 8365841B DSL Athletics

Age — —/— ROK HR -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION138 act + 19 ros · stats below = ROS only

showingROS

wRC+†84

AVG/OBP/SLG.188 / .316 / .250

PA19

HR0

K%26

BB%11

BABIP289

ISO62

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	OAK	—	138	110	22	4	3	2	18	34	8	9	0	200	353	345	698	145	263	25	13	307	94	-1	+2	+0	-2	+3	0.1
▸ 2026 season
YTD	—	ROK RAW	OAK	—	138	99	28	6	4	2	29	24	8	9	0	283	478	485	963	202	347	17	21	427	94	—	—	—	—	—	—
ROS	—	ROK MLE	OAK	0%	19	16	3	1	0	0	2	5	1	1	0	188	316	250	566	62	283	26	11	292	84	-0	+0	+0	-0	+0	-0.0
TOT	—	ROK MLE	OAK	—	157	126	25	5	3	2	20	39	9	10	0	198	348	333	682	135	264	25	13	305	93	-1	+2	+0	-3	+3	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	OAK	0%	274	237	50	9	4	4	28	73	7	10	1	211	312	333	646	122	284	27	10	294	85	-5	+2	+0	-5	+6	-0.2
2028	25	MLB MLE	OAK	0%	381	330	70	13	5	6	39	101	9	14	2	212	312	336	649	124	285	27	10	297	87	-6	+2	+0	-7	+8	-0.2
2029	25	MLB MLE	OAK	0%	453	394	85	16	6	8	46	119	10	17	2	216	313	348	661	132	285	26	10	300	89	-6	+3	+0	-8	+10	-0.2
2030	25	MLB MLE	OAK	0%	501	434	93	17	6	9	51	131	11	19	3	214	312	343	656	129	285	26	10	301	90	-6	+3	+0	-9	+11	-0.2
2031	25	MLB MLE	OAK	0%	535	464	101	19	7	10	54	140	12	21	3	218	315	353	669	136	285	26	10	302	91	-6	+3	+0	-10	+12	-0.1
2032	25	MLB MLE	OAK	0%	559	484	105	19	7	11	57	146	13	22	3	217	316	353	669	136	284	26	10	303	91	-6	+3	+0	-10	+12	-0.1
2033	25	MLB MLE	OAK	0%	576	500	108	20	7	11	58	151	13	22	3	216	313	350	663	134	284	26	10	304	92	-6	+3	+0	-10	+12	-0.0
2034	25	MLB MLE	OAK	0%	590	511	111	20	7	12	60	154	14	23	3	217	316	354	670	137	284	26	10	305	92	-5	+3	+0	-11	+13	0.0
2027	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	290	—	—	279	85	—	—	+0	-0	—	—
2028	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	290	—	—	283	87	—	—	+0	-0	—	—
2029	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	290	—	—	286	89	—	—	+0	-0	—	—
2030	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	290	—	—	287	90	—	—	+0	-0	—	—
2031	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	290	—	—	288	91	—	—	+0	-0	—	—
2032	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	290	—	—	289	91	—	—	+0	-0	—	—
2033	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	290	—	—	290	92	—	—	+0	-0	—	—
2034	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	289	—	—	290	92	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3888	3370	726	134	49	71	395	1020	90	149	20	215	314	347	662	132	285	26	10	301	90	-46	+22	+0	-69	+84	-1.0
/ 162G	—	MLE		—	650	563	121	22	8	12	66	171	15	25	3	215	313	346	660	131	285	26	10	301	90	-8	+4	+0	-12	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Will 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
#2Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#3Michael 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.2	4,140	75	157	217	311	349	-46	+0	4.4	4.4
/162	664	12	25	-7.4	+0.0	0.7	pk7: 4
#4Gregory 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
#5Tony 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
#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 836584 (OGILVIE)	25	—	—	—	—	204/311/318	114	283	3	11	27%	10%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕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
✕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
✕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
✕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
✕Nick Podkul 2021 · A	24	44	38→50	53→50	48	207/282/291	84	275	5	14	25%	8%	65	-1.2	202/286/330	128	273	14	8	29%	9%	76	-0.4	201/298/342	142	277	17	3	32%	10%	80	-0.1
✕Hunter Stovall 2022 · A	25	52→49	39→45	54→50	46	243/301/332	89	319	6	19	25%	7%	80	-0.1	232/280/333	101	293	8	15	23%	6%	73	-0.6	227/272/322	96	275	8	14	20%	6%	64	-0.9
✕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
✕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
✕Kyle Petty 2016 · A	25	45→50	42→50	53→50	39	221/265/325	104	304	10	11	30%	5%	65	-1.2	233/292/345	112	331	11	9	31%	7%	80	-0.1	238/302/353	114	340	11	8	31%	7%	84	+0.1
✕Anthony Granato 2006 · A	25	50→51	39→40	53→55	50	232/309/319	87	314	6	17	26%	10%	81	-0.1	221/300/314	93	310	7	17	28%	9%	77	-0.3	179/288/250	72	261	5	31	30%	12%	58	-0.3
✕Cade Gotta 2016 · A	24	41→51	41→45	53→55	43	199/259/302	103	276	7	15	30%	7%	58	-1.7	232/279/331	99	295	6	27	22%	6%	72	-0.7	244/303/339	95	309	5	36	21%	8%	81	-0.0
✕Ryan LaMarre 2014 · AA	25	47→52	39→45	52→60	45	227/288/313	86	291	7	23	24%	6%	72	-0.7	219/273/317	98	296	9	17	28%	6%	67	-1.1	236/307/362	126	336	11	23	31%	7%	87	+0.2
✕Quincy Hamilton 2022 · A	24	46	40→50	51→50	46	220/296/311	91	301	8	15	28%	8%	75	-0.5	221/301/359	138	285	15	14	26%	9%	88	+0.4	208/293/354	146	263	17	14	27%	9%	81	-0.0
✕Brad McElroy 2011 · A	25	45→55	41→45	55	45	219/282/321	102	288	8	17	26%	7%	72	-0.7	230/289/317	87	299	5	21	23%	6%	73	-0.6	238/299/314	76	305	3	29	22%	6%	73	-0.3
✕Niko Decolati 2023 · AA	25	44→46	40→45	54→55	43	211/279/301	90	305	8	21	32%	8%	66	-1.1	209/301/293	84	310	6	16	31%	9%	74	-0.6	200/314/273	73	296	5	18	30%	11%	72	-0.4
✕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
✕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

Career Stats + Projections

Career Comps

Career Path Comps