Player 828173 — OGILVIE

Player 8281731B Charleston RiverDogs

Age — —/— A HR +6%H +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION154 act + 23 ros · stats below = ROS only

showingROS

wRC+†87

AVG/OBP/SLG.250 / .348 / .300

PA23

HR0

K%26

BB%9

BABIP311

ISO50

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M 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	$1M	—	—	—
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	TB	—	154	125	31	3	0	0	15	33	14	23	3	248	390	272	662	24	337	21	10	310	96	-1	+3	+0	-3	+3	0.3
▸ 2026 season
YTD	—	ROK RAW	TB	—	21	16	7	2	0	0	4	4	1	2	0	438	571	562	1.134	125	583	19	19	506	96	—	—	—	—	—	—
YTD	—	A RAW	TB	—	133	100	26	2	0	0	20	19	13	21	3	260	444	280	724	20	321	14	15	359	96	—	—	—	—	—	—
ROS	—	A MLE	TB	0%	23	20	5	1	0	0	2	6	1	1	0	250	348	300	648	50	303	26	9	296	87	-0	+0	+0	-0	+0	-0.0
TOT	—	A MLE	TB	—	177	145	36	4	0	0	17	39	15	24	3	248	384	276	660	28	340	22	10	309	95	-1	+4	+0	-3	+4	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	TB	0%	323	279	64	9	1	4	28	77	13	11	1	229	328	312	640	82	302	24	9	300	89	-4	+2	+0	-6	+7	-0.1
2028	25	MLB MLE	TB	0%	413	359	84	12	2	6	36	98	15	13	2	234	329	329	658	95	301	24	9	303	91	-4	+2	+0	-7	+9	-0.1
2029	25	MLB MLE	TB	0%	474	413	97	14	2	8	41	112	17	14	2	235	329	337	666	102	301	24	9	305	93	-4	+2	+0	-8	+10	-0.0
2030	25	MLB MLE	TB	0%	515	448	106	16	2	9	44	122	18	15	2	237	329	342	671	105	300	24	9	307	94	-4	+2	+0	-9	+11	0.0
2031	25	MLB MLE	TB	0%	544	473	112	17	2	10	47	129	19	16	2	237	330	345	675	108	300	24	9	308	95	-3	+2	+0	-10	+12	0.1
2032	25	MLB MLE	TB	0%	565	491	116	17	2	11	49	134	20	17	2	236	330	346	677	110	300	24	9	309	95	-3	+3	+0	-10	+12	0.2
2033	25	MLB MLE	TB	0%	580	505	119	18	2	11	50	137	20	17	2	236	329	345	673	109	300	24	9	310	96	-3	+3	+0	-10	+13	0.2
2034	25	MLB MLE	TB	0%	592	514	122	18	2	12	52	140	21	17	2	237	332	350	682	113	299	24	9	311	97	-2	+3	+0	-11	+13	0.3
2027	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	310	—	—	277	89	—	—	+0	-0	—	—
2028	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	309	—	—	282	91	—	—	+0	-0	—	—
2029	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	309	—	—	286	93	—	—	+0	-0	—	—
2030	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	309	—	—	288	94	—	—	+0	-0	—	—
2031	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	308	—	—	289	95	—	—	+0	-0	—	—
2032	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	308	—	—	290	95	—	—	+0	-0	—	—
2033	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	308	—	—	291	96	—	—	+0	-0	—	—
2034	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	308	—	—	292	97	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	4029	3502	825	122	15	71	349	955	144	121	15	236	330	340	670	104	302	24	9	307	94	-28	+18	+0	-72	+87	0.6
/ 162G	—	MLE		—	650	565	133	20	2	11	56	154	23	20	2	235	329	336	665	101	303	24	9	307	94	-4	+3	+0	-12	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Will 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
#2Grégor 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
#3Willie 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
#4Robbie Grossmanlast yr '24 career totals — 12 seasons, 4,561 PA	6.9	4,561	93	67	242	345	374	-49	-62	5.0	6.1
/162	664	14	10	-7.1	-9.0	0.7	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.5	4,326	76	130	236	325	341	-49	+0	6.2	6.1
/162	664	12	20	-7.5	+0.0	1.0	pk7: 6
#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
#6Tony 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

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 828173 (OGILVIE)	25	—	—	—	—	227/328/301	74	303	3	20	24%	9%	87	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕Daniel Lyons 2010 · A	25	44→48	40→45	51→50	50	209/293/306	97	268	7	15	23%	9%	73	-0.6	199/284/276	77	275	4	12	27%	9%	63	-1.4	176/273/228	52	251	2	11	27%	10%	47	-1.5
✕Brad McElroy 2011 · A	25	45→55	41→45	55	45	219/282/321	102	288	8	17	26%	7%	72	-0.7	230/289/317	87	299	5	21	23%	6%	73	-0.6	238/299/314	76	305	3	29	22%	6%	73	-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
✕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
✕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
✕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
✕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
✕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
✕Joey Rickard 2014 · A	23	46→56	41→45	52→55	48	219/300/322	104	288	7	16	25%	8%	79	-0.2	241/315/332	91	308	5	16	21%	9%	86	+0.3	257/331/345	87	321	4	17	19%	9%	93	+0.4
✕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
✕Jimmy Herron 2021 · A	25	40→45	41→45	48→55	47	196/269/292	96	252	8	14	25%	8%	61	-1.5	213/289/334	121	273	12	18	25%	8%	78	-0.3	219/295/351	133	265	15	24	23%	8%	81	-0.0
●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
✕Hunter Stovall 2022 · A	25	52→49	39→45	54→50	46	243/301/332	89	319	6	19	25%	7%	80	-0.1	232/280/333	101	293	8	15	23%	6%	73	-0.6	227/272/322	96	275	8	14	20%	6%	64	-0.9
✕Cutter Dykstra 2014 · A	25	49→56	38→40	52→55	47	229/299/312	83	308	5	16	26%	8%	76	-0.4	229/293/311	82	316	6	11	27%	8%	73	-0.6	223/285/297	74	307	6	9	28%	7%	65	-0.9
✕Jack Dunn 2022 · A	25	50→48	38→40	53→55	47	235/298/314	79	300	6	15	23%	7%	76	-0.4	222/305/297	75	290	6	18	23%	10%	75	-0.5	213/306/284	71	274	6	21	22%	10%	71	-0.6
✕Max Schuemann 2021 · A	24	44→48	39→45	49→60	42	209/272/300	91	281	5	17	26%	6%	63	-1.4	223/308/330	107	302	9	28	27%	8%	84	+0.2	221/319/328	107	303	11	22	28%	10%	86	+0.2
✕José Caballero 2021 · A	24	46	41→45	52→70	47	220/294/324	104	280	8	25	24%	8%	77	-0.3	221/324/338	117	285	11	35	24%	11%	93	+0.8	225/318/339	113	300	10	63	26%	9%	88	+0.3
●TJ Friedl 2021 · AA	25	46→54	41→50	54→55	48	221/299/322	101	283	7	19	23%	8%	79	-0.2	234/304/371	137	273	13	17	19%	7%	91	+0.7	249/340/389	140	279	15	18	16%	10%	106	+1.6

Career Stats + Projections

Career Comps

Career Path Comps