Player 836587 — OGILVIE

Player 8365871B DSL Cardinals

Age — —/— ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2038

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 65 proj PA

wRC+†89

AVG/OBP/SLG.216 / .310 / .346

PA65

HR2

K%28

BB%11

ISO132

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 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	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. 2027 = actual YTD + projected ROS + total. 2028+ 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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2026	—	ROK	DSL Cardinals	—	33	24	10	2	0	3	8	6	1	0	0	417	576	875	1.451	458	467	18	24	596	137	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Cardinals	—	33	26	7	1	0	2	6	7	1	0	0	269	424	538	963	269	277	21	18	371	137	—	—	—	—	—	—
2026	—	ROK MLE	DSL Cardinals	—	33	26	7	1	0	2	6	7	1	0	0	269	424	538	963	269	294	21	18	371	137	—	—	—	—	—	—
2026	—	ROK RAW	DSL Cardinals	—	33	24	10	2	0	3	8	6	1	0	0	417	576	875	1.451	458	467	18	24	596	137	—	—	—	—	—	—
2026	25	ROK MLE	DSL Cardinals	—	33	26	7	1	0	2	6	7	1	0	0	269	424	538	963	269	277	21	18	371	137	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Cardinals	—	33	26	7	1	0	2	6	7	1	0	0	269	424	538	963	269	277	21	18	371	137	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	STL	0%	200	174	38	7	1	5	21	57	3	2	1	218	313	349	662	132	291	28	10	300	89	-3	+0	+0	-4	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	STL	0%	111	96	22	4	1	3	12	31	2	1	0	219	313	352	665	133	290	28	11	301	90	-1	+0	+0	-2	+2	-0.1
2029	25	MLB MLE	STL	0%	224	196	43	8	1	5	23	62	3	1	1	220	313	355	668	135	290	28	10	302	91	-2	-0	+0	-4	+5	-0.2
2030	25	MLB MLE	STL	0%	309	270	60	11	1	8	32	85	4	2	1	221	313	357	670	136	290	28	10	303	91	-3	+0	+0	-6	+7	-0.2
2031	25	MLB MLE	STL	0%	371	325	72	13	2	9	38	101	5	2	1	222	313	360	673	137	289	27	10	304	92	-4	+0	+0	-7	+8	-0.2
2032	25	MLB MLE	STL	0%	415	365	82	15	2	11	42	112	5	2	1	223	313	362	675	139	289	27	10	305	92	-4	+0	+0	-7	+9	-0.2
2033	25	MLB MLE	STL	0%	447	392	87	16	2	11	46	121	6	2	1	223	313	361	674	138	288	27	10	304	92	-4	+0	+0	-8	+10	-0.3
2034	25	MLB MLE	STL	0%	471	414	92	17	2	12	48	127	6	2	1	223	312	361	673	138	288	27	10	304	92	-5	+0	+0	-8	+10	-0.3
2035	25	MLB MLE	STL	0%	488	429	95	17	2	13	50	132	6	1	1	222	312	360	673	138	287	27	10	304	92	-5	-0	+0	-9	+11	-0.3
2028	25	MLB CTX	STL	0%	0	0	0	0	0	0	0	0	0	0	0	219	313	348	661	129	292	—	—	300	90	—	—	+0	-0	—	—
2029	25	MLB CTX	STL	0%	0	0	0	0	0	0	0	0	0	0	0	220	313	351	663	131	292	—	—	301	91	—	—	+0	-0	—	—
2030	25	MLB CTX	STL	0%	0	0	0	0	0	0	0	0	0	0	0	221	313	353	666	132	291	—	—	301	91	—	—	+0	-0	—	—
2031	25	MLB CTX	STL	0%	0	0	0	0	0	0	0	0	0	0	0	222	313	355	668	133	291	—	—	302	92	—	—	+0	-0	—	—
2032	25	MLB CTX	STL	0%	0	0	0	0	0	0	0	0	0	0	0	223	313	357	670	134	291	—	—	303	92	—	—	+0	-0	—	—
2033	25	MLB CTX	STL	0%	0	0	0	0	0	0	0	0	0	0	0	223	313	357	669	134	290	—	—	303	92	—	—	+0	-0	—	—
2034	25	MLB CTX	STL	0%	0	0	0	0	0	0	0	0	0	0	0	222	312	356	669	134	290	—	—	302	92	—	—	+0	-0	—	—
2035	25	MLB CTX	STL	0%	0	0	0	0	0	0	0	0	0	0	0	222	312	356	668	134	289	—	—	302	92	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	2934	2570	572	104	13	76	304	796	39	14	7	223	314	362	676	139	290	27	10	304	92	-29	+0	+0	-52	+63	-1.8
/ 162G	—	MLE		—	650	569	127	23	3	17	67	176	9	3	2	223	315	364	679	141	290	27	10	304	92	-6	+0	+0	-12	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Dustin 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
#3Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	4.4	2,901	73	14	223	310	361	-32	+0	2.3	2.2
/162	664	17	3	-7.2	+0.0	0.5	pk7: 2
#4Travis Sniderlast yr '15 career totals — 8 seasons, 1,971 PA	3.0	1,971	54	22	244	311	399	-21	-17	1.4	1.8
/162	664	18	7	-7.1	-5.8	0.5	pk7: 2
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#6Dylan Carlsonlast yr '25 career totals — 6 seasons, 1,987 PA	3.0	1,987	43	16	233	312	372	-9	-22	0.8	0.8
/162	664	14	5	-3.0	-7.4	0.3	pk7: 1

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 836587 (OGILVIE)	25	—	—	—	—	216/310/346	130	291	2	1	28%	11%	89	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Amaya 2024 · MLB	25	47→43	50	49→40	47	230/327/387	157	309	17	5	29%	9%	105	+1.7	233/302/374	141	280	15	3	22%	7%	92	+0.7	231/300/364	133	275	15	0	21%	7%	89	+0.2
✕Jon Still 2008 · A	23	47→46	53→55	45→30	55	241/334/419	179	294	21	3	25%	12%	114	+2.3	213/282/372	159	277	18	2	29%	8%	84	+0.1	198/262/353	156	258	18	1	30%	7%	71	-0.8
✕Dalton Rushing 2024 · A	23	45→42	52→55	48→30	54	226/343/400	175	303	19	4	30%	12%	114	+2.3	233/320/402	169	303	21	3	28%	9%	105	+1.7	235/318/410	176	300	23	1	28%	9%	106	+1.0
✕Adam Moore 2009 · AA	25	54→61	51→50	44→40	44	271/326/436	165	322	17	2	22%	6%	115	+2.4	248/293/369	121	304	13	3	22%	5%	86	+0.3	236/280/344	109	287	12	2	22%	5%	74	-0.4
✕Addison Russell 2018 · MLB	24	46→52	52→55	47→50	46	238/302/409	171	285	20	5	24%	7%	99	+1.3	240/308/381	141	293	16	6	23%	8%	95	+1.0	238/309/362	124	293	15	5	23%	8%	92	+0.5
✕Gerald Laird 2004 · MLB	24	51→47	49→50	51→50	51	251/329/407	156	303	16	9	22%	9%	109	+2.0	244/303/386	142	295	15	9	22%	7%	95	+0.9	254/306/408	154	305	16	10	22%	6%	99	+0.6
●Tyler Stephenson 2022 · MLB	25	54→58	47→55	46→30	53	265/343/403	138	315	14	3	20%	9%	113	+2.3	262/332/409	147	332	16	3	24%	8%	111	+2.1	255/327/406	151	324	17	1	25%	8%	108	+1.3
✕Vinny DiFazio 2010 · A	24	47	54→45	50→40	48	242/315/430	188	282	21	7	22%	8%	109	+2.0	205/287/349	144	270	16	4	29%	8%	81	-0.1	176/264/292	116	238	12	2	30%	8%	58	-0.9
●Travis d'Arnaud 2014 · MLB	25	51→57	50→60	45	47	254/313/413	160	311	16	4	24%	8%	105	+1.7	257/316/425	168	289	19	3	18%	7%	108	+1.9	260/318/455	195	291	26	1	20%	7%	117	+1.4
✕Roberto Pérez 2016 · MLB	27	48→42	47→55	46→30	52	234/321/377	143	314	15	4	28%	11%	99	+1.3	209/296/348	139	277	15	4	28%	11%	84	+0.1	207/291/375	168	263	23	1	30%	10%	89	+0.3
✕Bobby Crosby 2006 · MLB	26	50	52→50	47→50	53	254/328/434	180	289	18	5	19%	9%	115	+2.4	239/301/369	130	275	13	10	18%	8%	90	+0.6	229/289/345	116	261	10	9	16%	7%	80	-0.1
✕Taylor Teagarden 2008 · AA	24	49	57→55	45→30	48	242/329/437	196	343	25	4	34%	11%	116	+2.5	214/288/375	161	318	19	3	36%	9%	87	+0.4	220/283/369	149	331	20	0	38%	8%	81	-0.0
●Derek Norris 2014 · MLB	25	44→54	52→55	51→50	51	228/310/398	170	278	20	11	26%	10%	100	+1.3	246/316/396	150	304	16	7	23%	9%	101	+1.4	237/304/382	145	296	16	6	24%	8%	95	+0.8
✕Arturo Rodriguez 2015 · AAA	23	58→42	47→45	45→30	45	287/329/435	147	333	14	3	18%	5%	115	+2.4	233/273/343	110	274	13	3	19%	5%	73	-0.6	240/276/341	101	280	14	1	20%	4%	71	-0.3
✕Ronny Paulino 2006 · AAA	25	54→63	51→50	52→40	45	274/316/434	160	315	19	8	20%	6%	110	+2.1	272/319/393	121	321	12	4	18%	6%	101	+1.4	270/319/382	112	318	11	1	18%	6%	99	+0.9
✕J.R. Towles 2008 · MLB	24	52→53	47→50	45→50	46	258/327/402	143	295	14	13	18%	6%	107	+1.9	223/300/359	136	266	14	9	21%	7%	88	+0.4	205/292/332	127	235	14	6	19%	7%	79	-0.1
✕Ryan Lavarnway 2012 · MLB	24	46	56→55	43→30	46	241/309/429	188	296	25	2	27%	8%	107	+1.9	237/299/357	120	290	13	3	22%	7%	86	+0.3	239/308/330	91	291	8	0	20%	8%	82	+0.0
✕Danny Jansen 2020 · MLB	25	47→57	50→65	45	51	238/314/393	154	265	18	4	18%	8%	101	+1.4	226/308/418	192	248	25	4	20%	9%	105	+1.7	233/312/473	241	239	33	1	20%	8%	120	+1.2
●Adley Rutschman 2023 · MLB	25	49→54	51→50	46→40	58	246/340/414	167	282	17	5	19%	11%	114	+2.4	250/334/401	151	278	17	3	16%	11%	109	+2.0	246/329/389	144	270	17	1	16%	11%	106	+1.7
✕Hank Conger 2014 · MLB	26	47→57	48→50	44→45	45	240/293/383	143	284	16	4	22%	6%	91	+0.6	224/289/370	146	277	17	3	25%	8%	86	+0.3	201/270/340	139	247	17	0	25%	8%	73	-0.3

Career Stats + Projections

Career Comps

Career Path Comps