Player 842179 — OGILVIE

Player 8421791B San Jose Giants

Age — —/— A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION107 act + 14 ros · stats below = ROS only

showingROS

wRC+†97

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

PA14

HR0

K%21

BB%7

BABIP320

ISO99

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$5M 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	$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	SF	—	107	87	30	3	2	0	14	21	5	8	1	345	462	425	888	80	448	20	13	393	152	+7	+1	+0	-2	+2	0.8
▸ 2026 season
YTD	—	A RAW	SF	—	107	81	31	3	3	0	20	16	5	8	1	383	528	494	1.022	111	470	15	19	457	152	—	—	—	—	—	—
ROS	—	A MLE	SF	0%	14	13	2	0	0	0	1	3	0	1	0	154	214	154	368		325	21	7	311	97	-0	+0	+0	-0	+0	0.0
TOT	—	A MLE	SF	—	121	100	32	3	2	0	15	24	5	9	1	320	433	390	823	70	416	20	12	384	146	+7	+1	+0	-2	+3	0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SF	0%	290	253	62	8	4	4	29	71	6	10	2	245	337	356	693	111	320	24	10	312	97	-1	+1	+0	-5	+6	0.1
2028	25	MLB MLE	SF	0%	392	342	84	11	5	6	39	95	8	14	2	246	337	360	696	114	318	24	10	314	98	-1	+2	+0	-7	+8	0.3
2029	25	MLB MLE	SF	0%	460	403	97	13	5	7	45	111	9	17	3	241	330	350	680	109	316	24	10	315	99	-0	+2	+0	-8	+10	0.4
2030	25	MLB MLE	SF	0%	506	441	109	15	6	9	50	121	10	19	3	247	337	370	707	122	315	24	10	316	100	+0	+3	+0	-9	+11	0.5
2031	25	MLB MLE	SF	0%	538	469	116	16	6	10	53	129	11	20	3	247	338	371	709	124	315	24	10	317	101	+0	+3	+0	-10	+12	0.5
2032	25	MLB MLE	SF	0%	561	490	121	17	6	10	55	135	11	21	3	247	336	367	704	120	315	24	10	318	101	+1	+3	+0	-10	+12	0.6
2033	25	MLB MLE	SF	0%	578	505	124	17	6	11	57	139	11	21	3	246	335	368	703	123	315	24	10	319	102	+1	+3	+0	-10	+13	0.7
2034	25	MLB MLE	SF	0%	590	514	126	17	6	11	59	142	12	22	3	245	337	366	703	121	315	24	10	319	102	+2	+3	+0	-11	+13	0.7
2027	25	MLB CTX	SF	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	315	—	—	292	97	—	—	+0	-0	—	—
2028	25	MLB CTX	SF	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	312	—	—	294	98	—	—	+0	-0	—	—
2029	25	MLB CTX	SF	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	311	—	—	295	99	—	—	+0	-0	—	—
2030	25	MLB CTX	SF	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	310	—	—	296	100	—	—	+0	-0	—	—
2031	25	MLB CTX	SF	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	310	—	—	297	101	—	—	+0	-0	—	—
2032	25	MLB CTX	SF	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	310	—	—	298	101	—	—	+0	-0	—	—
2033	25	MLB CTX	SF	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	309	—	—	298	102	—	—	+0	-0	—	—
2034	25	MLB CTX	SF	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	309	—	—	299	102	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3929	3430	841	114	44	68	388	946	78	145	22	245	335	364	699	118	317	24	10	317	100	+2	+20	+0	-70	+85	3.8
/ 162G	—	MLE		—	650	567	139	19	7	11	64	157	13	24	4	245	335	362	696	116	318	24	10	317	100	+0	+3	+0	-12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gerardo Parralast yr '21 career totals — 12 seasons, 5,290 PA	8.0	5,290	90	97	275	322	403	-51	+11	12.3	12.3
/162	664	11	12	-6.3	+1.4	1.5	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.3	4,203	71	153	245	331	362	-47	+0	9.2	8.9
/162	664	11	24	-7.4	+0.0	1.5	pk7: 9
#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
#3Grégor 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
#4Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#5Alejandro De Azalast yr '17 career totals — 8 seasons, 2,819 PA	4.2	2,819	51	89	259	325	396	-6	-12	7.0	7.2
/162	664	12	21	-1.4	-2.8	1.7	pk7: 7
#6Gregory 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

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 842179 (OGILVIE)	25	—	—	—	—	243/337/338	96	325	3	12	24%	10%	97	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
●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
✕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
✕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
●Scott Sizemore 2009 · A	24	47→55	40→50	50	50	225/297/324	100	277	6	14	20%	8%	78	-0.3	248/317/383	135	311	12	12	23%	8%	99	+1.3	254/330/399	145	320	13	10	23%	9%	104	+1.5
✕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
✕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
✕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
✕Adalberto Santos 2012 · A	24	51→54	43→45	59→55	48	246/306/367	121	297	8	21	20%	7%	91	+0.6	255/316/349	94	318	6	20	20%	7%	90	+0.6	259/323/341	82	327	5	21	21%	8%	88	+0.2
✕Niko Goodrum 2017 · AA	25	43→53	41→55	56→55	43	208/270/312	104	295	8	21	31%	7%	65	-1.2	229/283/372	143	310	14	14	29%	7%	84	+0.1	240/314/421	180	324	18	16	30%	9%	104	+1.0
✕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
●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
✕Justin Dean 2021 · A	24	47→49	42→45	58→65	44	222/293/331	108	316	8	23	30%	8%	78	-0.3	203/281/302	99	319	8	27	36%	8%	68	-1.0	212/292/295	83	324	7	47	34%	9%	67	-0.7
✕Collin Cowgill 2010 · A	24	47→57	42→50	52→55	43	223/292/336	113	310	9	11	29%	7%	79	-0.2	253/310/376	123	308	10	20	20%	7%	94	+0.9	259/315/377	118	312	10	23	19%	7%	93	+0.7
✕Taylor Motter 2014 · A	24	48→50	41→55	53→55	50	230/296/333	103	284	7	24	21%	8%	80	-0.2	231/281/350	119	272	12	18	19%	6%	78	-0.3	208/287/374	165	259	20	5	27%	10%	85	+0.1
✕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
✕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
✕Chris Heisey 2009 · AA	24	49→52	43→55	56→55	47	238/296/354	115	284	9	18	19%	6%	84	+0.2	246/304/399	153	290	17	14	21%	6%	98	+1.2	248/306/418	171	286	22	13	21%	6%	100	+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

Career Stats + Projections

Career Comps

Career Path Comps