Player 837642 — OGILVIE

Player 8376421B DSL Marlins

Age — —/— ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION217 act + 27 ros · stats below = ROS only

showingROS

wRC+†91

AVG/OBP/SLG.208 / .296 / .250

PA27

HR0

K%22

BB%7

BABIP276

ISO42

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 65 / POW 41

Toolsscout grade

CONTACT65

scouting grade only

POWER41

scouting grade only

EYE46

scouting grade only

SPEED57

scouting grade only

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	MIA	—	217	184	42	6	3	4	15	32	14	17	8	228	333	359	692	130	250	15	7	304	92	-2	+0	+0	-4	+5	-0.1
▸ 2026 season
YTD	—	ROK RAW	MIA	—	217	173	51	8	4	5	26	22	14	17	8	295	427	474	901	179	307	10	12	398	92	—	—	—	—	—	—
ROS	—	ROK MLE	MIA	0%	27	24	5	1	0	0	2	6	1	1	0	208	296	250	546	42	283	22	7	303	91	-0	+0	+0	-0	+1	0.0
TOT	—	ROK MLE	MIA	—	244	208	47	7	3	4	17	38	15	18	8	226	329	346	675	120	253	16	7	304	92	-2	+0	+0	-4	+5	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	MIA	0%	339	302	70	11	4	6	25	72	9	8	3	232	310	354	664	123	283	21	7	303	91	-4	+0	+0	-6	+7	-0.2
2028	25	MLB MLE	MIA	0%	424	378	87	14	4	8	32	91	11	10	3	230	309	352	661	122	283	21	8	304	92	-4	+1	+0	-8	+9	-0.2
2029	25	MLB MLE	MIA	0%	481	428	100	16	5	10	37	103	13	11	4	234	314	364	678	131	284	21	8	306	93	-4	+1	+0	-9	+10	-0.2
2030	25	MLB MLE	MIA	0%	520	462	108	18	5	11	40	112	13	12	4	234	313	366	678	132	284	22	8	306	93	-4	+1	+0	-9	+11	-0.1
2031	25	MLB MLE	MIA	0%	547	486	113	19	5	11	42	117	14	13	4	233	312	360	672	128	283	21	8	306	93	-4	+1	+0	-10	+12	-0.1
2032	25	MLB MLE	MIA	0%	567	503	118	19	6	12	44	122	15	13	4	235	315	368	683	133	283	22	8	306	93	-4	+1	+0	-10	+12	-0.1
2033	25	MLB MLE	MIA	0%	582	517	121	20	6	12	45	125	15	13	4	234	314	366	679	132	283	21	8	306	93	-5	+1	+0	-10	+13	-0.1
2034	25	MLB MLE	MIA	0%	593	527	124	20	6	13	46	127	15	14	4	235	315	370	685	135	283	21	8	306	94	-5	+1	+0	-11	+13	-0.1
2027	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	276	—	—	275	91	—	—	+0	-0	—	—
2028	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	276	—	—	278	92	—	—	+0	-0	—	—
2029	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	276	—	—	279	93	—	—	+0	-0	—	—
2030	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	276	—	—	280	93	—	—	+0	-0	—	—
2031	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	276	—	—	280	93	—	—	+0	-0	—	—
2032	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	276	—	—	280	93	—	—	+0	-0	—	—
2033	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	275	—	—	280	93	—	—	+0	-0	—	—
2034	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	275	—	—	280	94	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	4080	3627	846	138	41	83	313	875	106	95	30	233	313	363	675	129	284	21	8	306	93	-34	+7	+0	-73	+88	-1.2
/ 162G	—	MLE		—	650	578	135	22	7	13	50	139	17	15	5	234	313	363	677	130	284	21	8	306	93	-5	+1	+0	-12	+14	-0.2

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
#2Jeff Francoeurlast yr '16 career totals — 11 seasons, 5,633 PA	8.5	5,633	160	54	262	304	417	-60	-26	6.8	9.0
/162	664	19	6	-7.1	-3.1	0.8	pk7: 11
#3Will 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.6	4,373	89	102	235	311	366	-49	+0	4.7	4.5
/162	664	14	15	-7.5	+0.0	0.7	pk7: 4
#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 837642 (OGILVIE)	25	65	41	57	46	229/313/349	120	283	5	13	21%	7%	91	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marty Costes 2021 · A	25	46→56	43→45	50	48	223/297/336	113	267	10	9	20%	7%	81	-0.1	246/327/353	107	315	8	14	23%	8%	96	+1.0	247/334/354	107	319	8	16	23%	8%	96	+0.5
✕Daniel Robertson 2011 · A	25	55→58	40	53→55	51	262/319/362	100	293	6	16	13%	7%	94	+0.9	255/310/343	88	294	4	17	14%	6%	86	+0.3	255/312/350	95	291	7	16	14%	6%	86	+0.2
✕Jared Triolo 2022 · A	24	50→60	44→45	51→55	42	242/292/364	122	316	12	18	26%	6%	85	+0.2	242/313/351	109	326	9	18	26%	9%	90	+0.6	235/321/349	114	313	11	17	26%	10%	90	+0.5
✕Eric Fryer 2011 · A	25	50→60	42→45	52→50	46	239/305/353	114	310	9	11	25%	7%	88	+0.4	224/294/328	104	292	9	10	24%	8%	78	-0.3	245/306/306	62	322	2	6	23%	8%	73	-0.2
✕James McOwen 2011 · A	25	53→61	43→45	49→50	44	258/301/373	115	317	9	13	21%	6%	90	+0.6	230/270/336	106	287	11	11	23%	5%	70	-0.8	224/259/324	100	275	11	11	23%	4%	64	-0.9
●Jordan Parraz 2009 · A	24	51→56	43→45	50	46	247/314/362	115	311	9	17	23%	7%	93	+0.8	255/320/378	123	313	10	9	21%	6%	99	+1.3	259/323/385	126	317	10	6	20%	6%	98	+0.9
✕Nick Van Stratten 2010 · A	25	56→59	40	51→55	47	266/320/372	106	313	5	14	16%	6%	97	+1.1	242/289/331	89	286	5	13	16%	5%	76	-0.4	308/344/391	82	345	3	23	11%	4%	106	+0.8
✕Scott Heineman 2018 · AA	25	49→55	43→45	49→50	42	236/296/356	120	323	9	14	29%	6%	84	+0.2	245/303/370	125	322	13	14	26%	6%	91	+0.6	250/311/378	128	324	14	16	26%	6%	92	+0.4
✕Richard Racobaldo 2010 · A	25	50→48	44→45	49→50	45	245/299/362	117	302	11	9	22%	6%	87	+0.4	226/282/318	92	319	6	8	29%	7%	70	-0.8	219/278/301	82	318	4	6	30%	7%	63	-1.1
✕Shane Justis 2008 · A	25	51→53	44→40	52→50	48	246/308/362	115	287	11	10	18%	7%	91	+0.6	244/302/333	89	287	5	10	16%	6%	81	-0.1	247/305/327	81	289	4	9	15%	5%	78	-0.2
✕Collin Cowgill 2011 · AA	25	50→59	44→50	52→55	47	244/305/372	128	292	10	16	20%	7%	91	+0.7	252/307/373	121	310	11	20	21%	7%	93	+0.8	252/306/370	118	313	12	21	22%	7%	87	+0.3
✕Braden Bishop 2019 · AA	25	53→57	40→50	49→50	46	253/309/345	92	315	7	10	21%	6%	86	+0.3	231/289/352	121	298	11	9	25%	6%	81	-0.1	221/278/346	125	286	12	13	26%	6%	73	-0.3
✕Sam Fuld 2007 · A	25	55→58	40→45	54→60	49	259/315/365	106	304	5	16	16%	7%	93	+0.8	254/316/351	97	290	5	15	13%	8%	91	+0.6	257/323/353	97	286	4	16	11%	8%	91	+0.5
✕Brian Finegan 2007 · A	25	51→54	41→40	52→50	44	243/300/344	101	306	8	15	22%	6%	83	+0.1	218/276/304	86	299	6	13	28%	6%	65	-1.2	204/264/276	72	284	6	13	29%	6%	52	-0.9
✕Jantzen Witte 2015 · A	25	50→54	44→45	47→45	44	243/296/375	131	313	10	5	25%	6%	88	+0.5	243/298/347	104	300	6	6	20%	6%	83	+0.1	244/294/361	116	313	12	6	25%	6%	82	+0.0
✕Chris Nowak 2008 · AA	25	54→57	43→45	52→50	51	259/327/380	121	315	9	13	20%	8%	101	+1.4	243/305/359	116	301	9	9	21%	7%	88	+0.5	233/296/345	111	289	10	8	22%	7%	81	-0.1
✕Cole Gillespie 2009 · AA	25	48→58	46→50	52→50	51	235/314/374	138	296	12	13	24%	10%	96	+1.0	230/305/366	136	293	11	15	24%	9%	91	+0.6	235/308/364	128	292	11	15	22%	8%	89	+0.4
✕Scott Savastano 2011 · AA	25	52→57	41→45	49→45	47	251/308/354	102	315	9	8	22%	7%	88	+0.5	235/288/341	106	296	9	6	22%	6%	78	-0.3	227/280/328	101	285	8	4	22%	6%	70	-0.4
✕Ed Lucas 2007 · A	25	50→56	38→45	51→50	45	239/287/320	80	298	5	16	21%	6%	72	-0.7	243/295/339	96	305	8	15	22%	7%	80	-0.2	249/314/362	113	308	11	15	22%	8%	90	+0.4
✕Kellen Strahm 2022 · A	25	49→54	45→40	53→60	45	227/303/352	125	344	12	10	35%	9%	86	+0.3	238/315/337	99	329	9	13	28%	10%	87	+0.4	238/316/326	88	324	7	16	26%	10%	83	+0.1

Career Stats + Projections

Career Comps

Career Path Comps