Player 836603 — OGILVIE

Player 8366031B DSL Nationals

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

2026 ROS PROJECTION179 act + 22 ros · stats below = ROS only

showingROS

wRC+†83

AVG/OBP/SLG.200 / .273 / .250

PA22

HR0

K%27

BB%9

BABIP281

ISO50

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	WSH	—	179	156	35	7	3	4	18	40	3	13	3	224	316	385	701	160	272	22	10	305	93	-2	+1	+0	-3	+4	0.1
▸ 2026 season
YTD	—	ROK RAW	WSH	—	179	145	45	10	4	5	29	28	3	13	3	310	435	538	973	228	351	16	16	423	93	—	—	—	—	—	—
ROS	—	ROK MLE	WSH	0%	22	20	4	1	0	0	2	6	0	1	0	200	273	250	523	50	284	27	9	291	83	-0	+0	+0	-0	+0	-0.0
TOT	—	ROK MLE	WSH	—	201	176	39	8	3	4	20	46	3	14	3	222	312	369	681	148	273	23	10	303	92	-2	+2	+0	-4	+4	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	WSH	0%	308	274	62	12	4	6	28	77	3	10	2	226	305	365	670	139	284	25	9	294	85	-5	+1	+0	-6	+7	-0.3
2028	25	MLB MLE	WSH	0%	403	360	80	15	4	8	36	100	4	14	3	222	300	353	653	131	285	25	9	298	88	-6	+2	+0	-7	+9	-0.3
2029	25	MLB MLE	WSH	0%	467	417	94	18	5	10	42	116	5	16	3	225	304	365	668	139	285	25	9	300	89	-6	+2	+0	-8	+10	-0.2
2030	25	MLB MLE	WSH	0%	511	454	102	19	5	11	46	126	6	18	4	225	304	361	666	137	285	25	9	301	90	-6	+2	+0	-9	+11	-0.2
2031	25	MLB MLE	WSH	0%	542	482	110	21	6	12	49	134	6	19	4	228	307	371	679	143	285	25	9	302	91	-6	+2	+0	-10	+12	-0.2
2032	25	MLB MLE	WSH	0%	563	501	113	21	6	13	51	139	6	20	4	226	305	369	674	144	284	25	9	303	91	-6	+2	+0	-10	+12	-0.1
2033	25	MLB MLE	WSH	0%	579	515	117	22	6	14	52	143	7	20	4	227	307	375	681	148	284	25	9	304	92	-6	+2	+0	-10	+13	-0.1
2034	25	MLB MLE	WSH	0%	591	525	119	22	6	14	54	146	7	21	4	227	307	371	679	145	284	25	9	304	92	-6	+3	+0	-11	+13	-0.1
2027	25	MLB CTX	WSH	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	283	85	—	—	+0	-0	—	—
2028	25	MLB CTX	WSH	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	287	88	—	—	+0	-0	—	—
2029	25	MLB CTX	WSH	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	289	89	—	—	+0	-0	—	—
2030	25	MLB CTX	WSH	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	290	90	—	—	+0	-0	—	—
2031	25	MLB CTX	WSH	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	291	91	—	—	+0	-0	—	—
2032	25	MLB CTX	WSH	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	292	91	—	—	+0	-0	—	—
2033	25	MLB CTX	WSH	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	293	92	—	—	+0	-0	—	—
2034	25	MLB CTX	WSH	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	293	92	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3986	3548	801	151	42	88	360	987	44	139	28	226	305	366	671	141	286	25	9	301	90	-47	+17	+0	-71	+86	-1.5
/ 162G	—	MLE		—	650	579	131	25	7	14	59	161	7	23	5	226	305	366	672	140	287	25	9	301	90	-8	+3	+0	-12	+14	-0.3

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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.4	4,269	93	147	226	302	367	-48	+0	3.9	4.0
/162	664	15	23	-7.5	+0.0	0.6	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 836603 (OGILVIE)	25	—	—	—	—	217/298/343	126	284	5	13	25%	9%	83	+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
✕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
✕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
✕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
●Reynaldo Rodriguez 2011 · A	25	44→46	45→55	50	47	216/293/342	126	269	11	11	23%	8%	81	-0.1	211/268/374	163	269	17	10	27%	6%	79	-0.2	233/278/405	172	262	21	11	20%	6%	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
✕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
✕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
✕Ka'ai Tom 2018 · A	24	45→48	43→50	52→50	46	220/282/340	120	279	10	15	24%	7%	76	-0.4	228/291/380	152	293	15	10	26%	7%	88	+0.5	214/288/369	154	277	16	7	28%	7%	83	+0.1
✕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
✕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
✕Kyle Datres 2021 · A	25	42	47→50	52→55	42	211/281/355	143	283	14	15	30%	7%	80	-0.2	210/290/349	139	286	16	22	31%	8%	82	-0.0	203/288/338	135	274	17	27	31%	9%	77	-0.2
✕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
✕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
✕Phillip Ervin 2016 · AA	24	42→51	43→50	53→55	46	206/276/320	114	263	10	20	25%	8%	70	-0.9	216/288/336	120	270	12	25	24%	8%	78	-0.3	235/299/371	136	298	13	21	24%	7%	86	+0.3
✕Sean Jamieson 2014 · A	25	43→45	43→45	50	44	212/278/331	119	279	10	12	27%	7%	72	-0.7	231/289/332	101	313	8	9	27%	6%	76	-0.4	234/293/322	88	321	6	7	27%	6%	72	-0.4
✕Reid Gorecki 2006 · AA	25	42→51	43→50	50→55	45	209/273/321	112	276	10	19	27%	8%	68	-1.0	217/279/342	125	278	13	19	26%	7%	75	-0.5	248/302/360	112	309	10	21	22%	6%	85	+0.1
●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
✕Corey Julks 2019 · A	23	46→51	43→50	52→55	43	221/279/335	114	304	10	18	30%	7%	74	-0.6	214/275/320	106	297	9	13	29%	7%	69	-0.9	226/286/381	155	284	18	21	27%	7%	84	+0.1
✕Brett Harris 2022 · A	24	44→52	44→45	49→50	43	218/288/335	117	294	12	11	29%	7%	78	-0.3	241/313/376	135	292	15	10	22%	8%	96	+1.0	238/318/367	129	288	14	9	21%	8%	93	+0.6

Career Stats + Projections

Career Comps

Career Path Comps