Player 828333 — OGILVIE

Player 8283331B St. Lucie Mets

Age — —/— A H -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION67 act + 11 ros · stats below = ROS only

showingROS

wRC+†84

AVG/OBP/SLG.200 / .273 / .300

PA11

HR0

K%27

BB%9

BABIP284

ISO100

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 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	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	—	A MLE	NYM	—	67	60	15	4	0	2	3	15	3	4	1	250	318	417	735	167	295	22	4	333	112	+1	+0	+0	-1	+1	0.2
▸ 2026 season
YTD	—	A RAW	NYM	—	45	41	10	3	0	2	2	7	1	3	1	244	295	463	759	220	242	16	4	326	112	—	—	—	—	—	—
YTD	—	A+ RAW	NYM	—	22	18	8	2	0	1	2	4	2	1	0	444	545	722	1.268	278	538	18	9	547	112	—	—	—	—	—	—
ROS	—	A MLE	NYM	0%	11	10	2	1	0	0	1	3	0	0	0	200	273	300	573	100	292	27	9	293	84	-0	+0	+0	-0	+0	-0.0
TOT	—	A MLE	NYM	—	78	70	17	5	0	2	4	18	3	4	1	243	312	400	712	157	294	23	5	328	108	+1	+0	+0	-1	+2	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	NYM	0%	217	198	46	10	1	6	13	58	4	5	1	232	293	384	677	152	292	27	6	297	87	-3	+1	+0	-4	+5	-0.2
2028	25	MLB MLE	NYM	0%	343	311	72	16	1	9	22	90	7	8	2	232	297	376	673	145	291	26	6	300	89	-5	+1	+0	-6	+7	-0.2
2029	25	MLB MLE	NYM	0%	428	390	90	19	2	12	27	111	8	11	2	231	294	382	676	151	291	26	6	301	90	-5	+1	+0	-8	+9	-0.2
2030	25	MLB MLE	NYM	0%	485	442	102	22	2	13	31	126	9	12	2	231	295	378	672	147	291	26	6	302	90	-6	+2	+0	-9	+11	-0.2
2031	25	MLB MLE	NYM	0%	525	476	110	24	2	14	34	136	10	13	3	231	296	378	674	147	291	26	6	302	90	-6	+1	+0	-9	+11	-0.3
2032	25	MLB MLE	NYM	0%	552	500	116	25	2	15	36	143	11	14	3	232	298	380	678	148	290	26	7	302	90	-6	+2	+0	-10	+12	-0.3
2033	25	MLB MLE	NYM	0%	572	519	120	26	2	16	37	148	11	14	3	231	296	382	678	150	290	26	6	302	91	-6	+2	+0	-10	+12	-0.3
2034	25	MLB MLE	NYM	0%	587	533	123	27	2	16	38	152	11	14	3	231	296	379	675	148	290	26	6	302	91	-7	+2	+0	-10	+13	-0.3
2027	25	MLB CTX	NYM	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	284	—	—	277	87	—	—	+0	-0	—	—
2028	25	MLB CTX	NYM	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	284	—	—	280	89	—	—	+0	-0	—	—
2029	25	MLB CTX	NYM	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	281	90	—	—	+0	-0	—	—
2030	25	MLB CTX	NYM	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	282	90	—	—	+0	-0	—	—
2031	25	MLB CTX	NYM	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	282	90	—	—	+0	-0	—	—
2032	25	MLB CTX	NYM	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	282	90	—	—	+0	-0	—	—
2033	25	MLB CTX	NYM	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	282	91	—	—	+0	-0	—	—
2034	25	MLB CTX	NYM	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	283	91	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3720	3379	781	170	14	101	239	967	71	91	19	231	296	379	675	148	292	26	6	301	90	-44	+11	+0	-66	+81	-2.0
/ 162G	—	MLE		—	650	590	137	30	2	18	42	169	12	16	3	232	296	381	677	149	293	26	6	301	90	-8	+2	+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
#2Michael 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
#3Gregory 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
#4Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.9	3,924	106	96	232	293	380	-44	+0	3.3	3.2
/162	664	18	16	-7.4	+0.0	0.6	pk7: 3
#5Chris 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
#6Nate Schierholtzlast yr '14 career totals — 8 seasons, 2,275 PA	3.4	2,275	52	30	253	302	405	-24	-6	2.0	2.8
/162	664	15	9	-7.1	-1.8	0.6	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 828333 (OGILVIE)	25	—	—	—	—	225/287/363	138	292	5	6	27%	6%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Jeremy Rathjen 2015 · A	25	43→40	47→45	51→50	44	216/284/353	137	278	15	14	27%	7%	80	-0.1	204/259/329	125	276	13	9	30%	6%	65	-1.2	161/210/268	107	215	12	5	31%	5%	29	-1.6
✕Taylor Featherston 2014 · A	24	46→47	47→50	53→50	40	230/281/371	141	304	14	12	28%	5%	82	+0.0	215/260/346	131	279	13	11	27%	4%	69	-0.9	204/249/331	127	261	12	11	26%	4%	59	-1.1
✕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
●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
✕Joe Mather 2007 · A	25	42→45	49→60	53→50	40	216/267/368	152	270	16	7	26%	5%	78	-0.3	224/287/405	181	251	23	10	21%	6%	94	+0.9	216/284/406	190	230	25	11	20%	6%	91	+0.5
✕Ryan Cordell 2017 · AA	25	44→43	49→50	53→50	40	228/272/378	150	285	17	14	27%	5%	81	-0.1	209/257/340	131	278	14	13	29%	5%	66	-1.1	196/248/317	122	264	13	13	30%	6%	56	-0.9
✕Jerad Head 2008 · A	25	41→44	44→50	49→50	41	207/274/331	124	262	11	9	25%	5%	72	-0.7	222/279/361	139	277	13	10	24%	5%	80	-0.1	229/282/384	155	280	16	9	24%	4%	84	+0.1
✕Sean Bouchard 2021 · A	25	41→44	44→55	47→50	38	204/257/325	121	301	12	10	35%	6%	63	-1.3	223/298/397	174	302	19	12	31%	9%	95	+1.0	223/323/414	192	292	21	16	29%	12%	107	+0.9
✕Luis Santana 2023 · A	24	45	45	48→50	43	224/290/348	124	291	13	11	27%	6%	81	-0.1	210/266/326	116	267	13	7	26%	5%	68	-1.0	191/245/302	111	237	14	5	25%	5%	51	-1.2
✕Mike Ahmed 2017 · A	25	44→45	45→50	47→50	44	215/284/339	124	297	13	11	31%	8%	76	-0.4	211/272/327	116	317	12	9	35%	7%	70	-0.9	200/257/300	100	312	9	7	37%	6%	55	-0.7
✕Kuo Hui Lo 2010 · A	24	44→51	46→50	52→55	40	223/268/360	137	287	13	16	27%	5%	75	-0.5	207/255/316	109	267	9	12	25%	6%	60	-1.6	192/242/285	93	247	7	12	24%	6%	45	-1.4
✕Keon Broxton 2015 · AA	25	45→50	47→55	54→60	39	221/274/361	141	315	15	16	34%	6%	78	-0.3	228/296/382	154	343	15	32	35%	8%	91	+0.6	224/300/388	164	339	17	38	36%	9%	92	+0.6
✕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
✕Alexander Palma 2021 · A	25	46	50	50→45	41	237/281/388	151	289	18	8	25%	5%	87	+0.4	222/258/352	130	267	16	5	23%	4%	70	-0.9	215/242/345	130	246	19	0	22%	3%	61	-0.9
✕Cole Garner 2010 · AA	25	48→50	47→55	49→50	37	238/280/376	138	311	13	12	28%	4%	83	+0.1	236/282/377	141	312	13	10	28%	5%	84	+0.2	228/275/367	138	311	13	8	30%	5%	76	-0.2
✕Alex Castellanos 2012 · AA	25	47→51	49→55	53→50	38	235/287/394	159	315	15	13	30%	5%	91	+0.6	219/284/373	154	298	16	16	31%	6%	84	+0.2	207/266/345	139	303	13	8	34%	6%	69	-0.5
✕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
✕Stefan Trosclair 2018 · A	24	43→42	47→50	50	44	216/290/351	135	288	15	9	29%	7%	82	+0.0	215/279/343	128	302	13	7	32%	6%	76	-0.4	203/266/330	127	288	14	4	33%	5%	67	-0.8
✕Chris Colton 2007 · A	24	44→48	43→55	47→50	41	218/265/329	111	284	11	14	27%	6%	67	-1.1	225/280/359	134	289	13	10	26%	7%	80	-0.2	236/296/445	209	274	23	5	23%	8%	105	+0.5

Career Stats + Projections

Career Comps

Career Path Comps