Player 836598 — OGILVIE

Player 8365981B DSL Royals Fortuna

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

2026 ROS PROJECTION177 act + 24 ros · stats below = ROS only

showingROS

wRC+89

AVG/OBP/SLG.227 / .292 / .273

PA24

HR0

K%25

BB%8

BABIP317

ISO45

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 Royals Fortuna	—	177	153	43	4	5	2	22	42	2	30	4	281	379	412	790	131	376	24	12	347	121	+4	+4	+0	-3	+4	1.0
▸ 2026 season
YTD	—	ROK RAW	DSL Royals Fortuna	—	177	140	53	6	7	2	35	29	2	30	4	379	508	564	1.073	186	468	16	20	471	121	—	—	—	—	—	—
ROS	—	ROK MLE	—	0%	24	22	5	1	0	0	2	6	0	2	0	227	292	273	564	45	317	25	8	300	89	-0	+0	+0	-0	+1	0.0
TOT	—	ROK MLE	—	—	201	175	48	5	5	2	24	48	2	32	4	274	368	394	762	120	368	24	12	341	117	+4	+5	+0	-4	+4	1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	—	0%	306	270	64	9	5	4	30	79	3	13	2	237	320	352	672	115	315	26	10	302	90	-4	+2	+0	-5	+7	-0.1
2028	25	MLB MLE	—	0%	402	355	84	12	6	6	40	103	4	16	2	237	321	355	676	118	313	26	10	305	93	-4	+2	+0	-7	+9	0.0
2029	25	MLB MLE	—	0%	466	413	99	14	7	8	46	118	4	19	2	240	322	366	687	126	312	25	10	307	94	-3	+3	+0	-8	+10	0.2
2030	25	MLB MLE	—	0%	511	451	108	15	8	9	50	129	5	20	2	239	322	368	690	129	311	25	10	309	95	-3	+3	+0	-9	+11	0.2
2031	25	MLB MLE	—	0%	541	478	114	16	8	10	53	137	5	21	3	238	321	368	689	130	311	25	10	310	96	-2	+3	+0	-10	+12	0.3
2032	25	MLB MLE	—	0%	563	498	119	17	8	11	55	142	5	22	3	239	321	371	692	133	311	25	10	312	97	-2	+3	+0	-10	+12	0.3
2033	25	MLB MLE	—	0%	579	511	123	17	9	11	57	146	6	23	3	241	324	374	698	133	311	25	10	313	98	-2	+3	+0	-10	+13	0.4
2034	25	MLB MLE	—	0%	591	522	125	17	9	12	58	149	6	23	3	239	323	375	698	136	310	25	10	314	98	-1	+3	+0	-11	+13	0.5
2027	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	315	—	—	302	90	—	—	+0	-0	—	—
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	313	—	—	305	93	—	—	+0	-0	—	—
2029	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	312	—	—	307	94	—	—	+0	-0	—	—
2030	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	311	—	—	309	95	—	—	+0	-0	—	—
2031	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	311	—	—	310	96	—	—	+0	-0	—	—
2032	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	311	—	—	312	97	—	—	+0	-0	—	—
2033	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	311	—	—	313	98	—	—	+0	-0	—	—
2034	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	310	—	—	314	98	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3983	3520	841	118	60	71	391	1009	38	159	20	239	322	367	689	128	313	25	10	310	96	-21	+24	+0	-71	+86	1.9
/ 162G	—	MLE		—	650	574	138	19	10	12	64	165	6	26	3	240	322	371	694	131	315	25	10	310	96	-3	+4	+0	-12	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#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
#3Grégor Blancolast yr '18 career totals — 9 seasons, 3,301 PA	5.0	3,301	26	120	256	340	350	-9	-5	7.7	8.5
/162	664	5	24	-1.8	-1.0	1.5	pk7: 9
#4Desmond 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	4,262	74	169	238	317	365	-48	+0	7.1	7.1
/162	664	12	26	-7.5	+0.0	1.1	pk7: 7
#5Willie 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
#6Gregory 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

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 836598 (OGILVIE)	25	—	—	—	—	232/317/339	107	317	3	24	26%	10%	89	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Sam Haggerty 2018 · A	24	43	38→50	58→65	45	203/270/293	90	292	4	25	30%	8%	60	-1.6	222/300/330	108	316	6	28	29%	9%	80	-0.1	252/331/392	139	317	11	42	22%	9%	102	+0.8
✕Niko Goodrum 2017 · AA	25	43→53	41→55	56→55	43	208/270/312	104	295	8	21	31%	7%	65	-1.2	229/283/372	143	310	14	14	29%	7%	84	+0.1	240/314/421	180	324	18	16	30%	9%	104	+1.0
✕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
✕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
✕Shawn Payne 2014 · A	25	47→57	40	56→55	48	225/296/321	96	287	6	24	23%	8%	77	-0.3	213/283/315	102	293	7	16	28%	8%	71	-0.8	203/278/305	103	285	7	17	29%	8%	63	-0.9
✕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
✕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
✕Jon Berti 2014 · A	24	45→55	36→45	57→60	47	212/284/280	68	281	3	30	24%	8%	63	-1.4	232/286/311	79	286	4	28	19%	6%	70	-0.8	272/354/401	129	342	12	35	22%	9%	113	+1.2
✕Dairon Blanco 2019 · A	26	51	37→45	61→70	41	236/281/322	85	322	3	20	27%	5%	70	-0.9	217/266/326	109	313	8	27	31%	6%	66	-1.1	267/328/397	130	350	13	90	26%	6%	104	+0.8
✕Matt Vierling 2021 · A	24	40→50	40→50	50	40	197/252/286	89	268	7	14	28%	5%	52	-2.2	241/298/355	114	302	11	14	23%	7%	85	+0.2	254/314/393	138	307	13	10	21%	7%	97	+1.0
✕Jon Matthews 2014 · A	23	42	38→40	58→60	41	198/263/275	77	278	5	25	29%	6%	54	-2.0	229/296/296	67	312	3	16	25%	8%	70	-0.8	240/310/292	52	324	2	16	24%	8%	72	-0.3
✕Tyler Saladino 2014 · AAA	25	44→47	39→45	55	48	210/281/298	88	271	7	23	24%	8%	66	-1.1	238/289/340	102	291	9	23	20%	6%	78	-0.3	253/298/364	112	301	10	25	19%	5%	85	+0.2
✕Cade Gotta 2017 · AA	25	46→52	42→45	56→55	42	225/269/333	108	283	8	21	23%	5%	69	-0.9	238/291/337	99	302	6	29	22%	7%	78	-0.3	244/303/339	95	309	5	36	21%	8%	81	-0.0
●Alonzo Harris 2014 · AA	25	46→52	39→50	54→60	43	223/270/310	88	284	6	25	24%	6%	63	-1.3	208/260/297	89	277	6	22	26%	6%	57	-1.8	260/325/501	240	284	32	42	21%	8%	128	+3.1
✕Max Schuemann 2022 · AAA	25	46→48	40→45	59→60	44	218/292/312	94	289	7	32	26%	7%	74	-0.5	225/316/336	111	307	10	25	28%	9%	88	+0.5	221/319/328	107	303	11	22	28%	10%	86	+0.2
✕Mario Lisson 2009 · AA	25	43→49	43→50	54→55	41	215/265/327	112	272	11	21	25%	5%	66	-1.1	210/257/336	126	274	14	15	28%	5%	65	-1.2	230/303/360	129	300	15	8	27%	8%	88	+0.3
●Jake McCarthy 2021 · A	24	45→55	39→50	57→60	40	213/267/303	90	314	6	21	32%	6%	61	-1.5	241/304/386	145	314	13	33	26%	7%	95	+0.9	274/338/400	126	325	12	37	18%	7%	108	+1.6
✕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
✕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

Career Stats + Projections

Career Comps

Career Path Comps