Player 829735 — OGILVIE

Player 8297351B DSL Miami

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

2026 ROS PROJECTION101 act + 14 ros · stats below = ROS only

showingROS

wRC+†86

AVG/OBP/SLG.154 / .214 / .154

PA14

HR0

K%29

BB%7

BABIP284

ISO125

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	MIA	—	101	85	19	4	1	4	12	32	3	8	1	224	340	435	775	212	300	32	12	321	103	+0	+1	+0	-2	+2	0.2
▸ 2026 season
YTD	—	ROK RAW	MIA	—	101	78	23	5	1	5	19	22	3	8	1	295	450	577	1.027	282	346	22	19	443	103	—	—	—	—	—	—
ROS	—	ROK MLE	MIA	0%	14	13	2	0	0	0	1	4	0	1	0	154	214	154	368		292	29	7	295	86	-0	+0	+0	-0	+0	0.0
TOT	—	ROK MLE	MIA	—	115	98	21	4	1	4	13	36	3	9	1	214	325	398	723	184	288	31	11	318	101	+0	+1	+0	-2	+2	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	MIA	0%	243	214	46	9	2	6	23	72	4	8	1	215	303	360	663	145	289	30	9	295	86	-4	+1	+0	-4	+5	-0.2
2028	25	MLB MLE	MIA	0%	361	319	69	13	3	9	34	106	5	13	2	216	302	361	662	144	289	29	9	298	88	-5	+2	+0	-6	+8	-0.2
2029	25	MLB MLE	MIA	0%	439	388	84	16	3	11	42	127	6	16	2	216	303	358	661	142	289	29	10	299	89	-6	+2	+0	-8	+10	-0.2
2030	25	MLB MLE	MIA	0%	493	436	95	18	3	13	47	142	7	18	3	218	304	362	666	144	288	29	10	300	89	-6	+2	+0	-9	+11	-0.2
2031	25	MLB MLE	MIA	0%	530	467	102	19	4	14	50	152	8	19	3	218	305	366	671	148	288	29	9	300	89	-7	+3	+0	-9	+11	-0.2
2032	25	MLB MLE	MIA	0%	555	489	107	20	4	15	53	159	8	20	3	219	305	368	674	149	288	29	10	301	90	-7	+3	+0	-10	+12	-0.2
2033	25	MLB MLE	MIA	0%	574	506	111	21	4	15	55	165	8	21	3	219	306	366	671	146	287	29	10	301	90	-7	+3	+0	-10	+12	-0.2
2034	25	MLB MLE	MIA	0%	588	518	113	21	4	16	56	169	9	21	3	218	305	367	672	149	287	29	10	301	90	-7	+3	+0	-10	+13	-0.2
2027	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	277	86	—	—	+0	-0	—	—
2028	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	280	88	—	—	+0	-0	—	—
2029	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	280	—	—	281	89	—	—	+0	-0	—	—
2030	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	280	—	—	282	89	—	—	+0	-0	—	—
2031	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	280	—	—	282	89	—	—	+0	-0	—	—
2032	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	280	—	—	282	90	—	—	+0	-0	—	—
2033	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	282	90	—	—	+0	-0	—	—
2034	25	MLB CTX	MIA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	283	90	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3797	3350	729	137	27	99	361	1096	55	137	20	218	304	363	667	146	290	29	10	300	89	-50	+19	+0	-68	+82	-1.6
/ 162G	—	MLE		—	650	573	125	23	5	17	62	188	9	23	3	218	304	365	669	147	291	29	10	300	89	-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
#3Michael 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
#4Gregory 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
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.1	4,024	103	144	218	301	362	-45	+0	3.5	3.5
/162	664	17	24	-7.4	+0.0	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 829735 (OGILVIE)	25	—	—	—	—	210/300/348	138	292	6	10	31%	10%	86	+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
✕Kyle Datres 2022 · A	26	40→42	47→50	54→55	46	201/285/337	136	272	14	18	30%	9%	78	-0.3	212/290/348	136	290	16	23	31%	8%	82	-0.0	203/285/337	134	276	17	26	31%	8%	75	-0.3
✕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
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕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
✕Elijah Dunham 2022 · A	24	44→42	47→50	55→60	45	219/291/363	144	292	14	21	29%	8%	85	+0.2	209/281/351	142	283	14	27	30%	8%	78	-0.3	199/272/342	143	270	15	29	30%	8%	71	-0.7
✕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
✕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
✕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
●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
✕Scott Heineman 2017 · A	24	48→55	45	51→50	43	234/300/367	133	315	12	17	28%	7%	89	+0.5	244/302/363	119	329	11	14	27%	6%	88	+0.5	250/311/378	128	324	14	16	26%	6%	92	+0.4
●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
✕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
✕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
✕Barrett Barnes 2015 · A	24	43→52	44→45	51→50	43	213/277/330	117	286	12	14	29%	7%	72	-0.7	227/293/347	120	297	10	12	26%	7%	82	-0.0	229/296/349	120	303	9	12	26%	7%	81	-0.0
✕Anthony Seratelli 2008 · A	25	46→48	46→45	56→55	46	229/291/363	134	291	12	19	25%	8%	84	+0.2	206/263/302	96	297	8	17	31%	7%	59	-1.6	230/302/348	119	296	13	20	25%	9%	84	+0.1
✕Alerick Soularie 2023 · A	24	39	44→45	53→60	44	192/273/305	114	293	11	16	36%	9%	65	-1.2	199/280/310	111	290	12	26	33%	9%	70	-0.9	181/272/285	104	255	13	39	32%	9%	60	-0.6
✕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
✕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
✕Alex Castellanos 2011 · A	24	44→51	45→55	52→50	36	213/265/346	134	307	11	15	33%	5%	72	-0.7	229/289/391	162	307	17	15	30%	6%	91	+0.6	223/288/391	168	294	19	17	30%	6%	88	+0.4

Career Stats + Projections

Career Comps

Career Path Comps