Drew Gilbert — OGILVIE

Drew GilbertCF San Francisco Giants

Age 25 L/L 5'9" / 195 lbs MLB HR -15%H -3% Svc 1.000 · Ctrl thru 2030

2026 ROS PROJECTION422 act + 9 ros · stats below = ROS only

showingROS

wRC+†100

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP260

ISO161

MLB%100%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$18M ctrl surplus

Tools · Recent Form · ContractCON 55 / POW 55

Toolsscout grade · Statcast %ile · 2025-2026

CONTACT55

Whiff%

902.5%

xAVG

460.248

POWER55

Barrel%

285.4

Avg EV

1686.5

Bat Spd

4470.8

EYE55

Chase%

906.3%

SPEED45

Sprint

5027.5

Recent Formrolling true talent ⓘ

K%24%▼▼26% over 78 PA (30d) · proj 21%

BB%9%▲10% over 150 PA (60d) · proj 9%

ISO.162·.163 over 129 AB (60d) · proj .161xISO .135 vs .122 prior

HR/BB4.7%·5.0% over 101 BBE (60d) · proj 4.4%barrel% 5.5% vs 4.9% prior

BABIP.260·.260 over 96 BIP (60d) · proj .260xBABIP .293 vs .258 prior

SLASH.219/.305/.381·proj .226/.305/.387

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2025

Service 1.000 yrs.days

Team Control Through 2030

First FA Year 2031

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Pre-Arb	$0.1M	+0.1	$0.3M	+$0.2M
2027	Pre-Arb	$0.8M	+1.2	$9M	+$8M
2028	Arb-1	$3M	+1.2	$8M	+$5M
2029	Arb-2	$6M	+1.1	$7M	+$3M
2030	Arb-3	$8M	+0.9	$3M	+$0.0M (cut)
Totals		$10M		$27M	+$17M

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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2022	21	A	Fayetteville Woodpeckers	—	22	21	5	0	0	1	1	0	0	3	1	238	273	381	654	143	200	0	5	291	83	-0	+0	—	—	+0	0.0
2022	21	ROK	FCL Astros Orange	—	17	11	5	1	0	1	3	2	1	3	0	455	529	818	1.348	364	500	12	18	524	241	+3	+1	—	—	+0	0.4
2023	22	AA	Binghamton Rumble Ponies	—	418	347	94	18	2	12	52	76	6	8	5	271	367	438	805	167	312	18	12	354	126	+13	-0	—	—	+9	2.2
2023	22	A+	Asheville Tourists	—	95	86	31	8	1	6	6	21	3	4	0	360	421	686	1.107	326	424	22	6	476	208	+12	+1	—	—	+2	1.5
2024	23	AAA	Syracuse Mets	—	247	214	46	8	0	10	25	51	6	3	1	215	313	393	706	178	234	21	10	317	101	+0	+0	—	—	+5	0.6
2024	23	INTL	Scottsdale Scorpions	—	92	72	15	2	0	4	17	14	3	2	1	208	380	403	783	194	204	15	18	360	130	+3	+0	—	—	+2	0.5
2025	24	MLB	San Francisco Giants	—	109	100	19	5	1	3	7	20	1	1	1	190	250	350	600	160	205	18	6	266	66	-4	-0	+2	-6	+2	-0.6
2025	24	AAA	Sacramento River Cats	—	381	319	81	18	4	12	47	63	10	6	3	254	366	448	814	194	278	17	12	360	130	+14	+0	—	—	+8	2.2
2025	24	A	St. Lucie Mets	—	27	24	9	2	0	2	3	3	0	0	0	375	444	708	1.153	333	368	11	11	494	221	+4	+0	—	—	+1	0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	109	100	19	5	1	3	7	20	1	1	1	190	250	350	600	160	205	18	6	266	66	-4	-0	+2	-6	+2	-0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	21	A MLE	Fayetteville Woodpeckers	—	22	21	5	0	0	1	1	0	0	3	1	238	273	381	654	143	189	0	5	262	63	-1	+0	—	—	+0	-0.0
2022	21	ROK MLE	FCL Astros Orange	—	17	14	5	1	0	1	2	3	1	3	0	357	471	643	1.113	286	391	18	12	451	191	+2	+1	—	—	+0	0.3
2023	22	AA MLE	Binghamton Rumble Ponies	—	418	374	89	16	2	11	34	92	6	8	5	238	312	380	691	142	276	22	8	299	88	-6	-0	—	—	+9	0.3
2023	22	A+ MLE	Asheville Tourists	—	95	88	26	6	1	4	4	29	3	4	0	295	347	523	870	227	377	31	4	348	122	+2	+1	—	—	+2	0.5
2024	23	AAA MLE	Syracuse Mets	—	247	221	36	6	0	6	19	63	6	3	1	163	248	271	519	109	198	26	8	239	48	-15	+0	—	—	+5	-1.0
2025	24	MLB MLE	San Francisco Giants	—	109	100	19	5	1	3	7	20	1	1	1	190	250	350	600	160	205	18	6	270	69	-4	-0	+2	-6	+2	-0.6
2025	24	AAA MLE	Sacramento River Cats	—	381	334	69	15	4	10	33	80	10	6	3	207	297	365	662	159	231	21	9	289	82	-8	+0	—	—	+8	-0.0
2025	24	A MLE	St. Lucie Mets	—	27	25	9	2	0	2	2	4	0	0	0	360	407	680	1.087	320	361	15	7	457	195	+3	+0	—	—	+1	0.4
2022	21	A MLE	2 teams	—	39	35	10	1	0	2	3	3	1	6	1	286	359	486	845	200	267	8	8	344	119	—	—	—	—	—	—
2022	21	A RAW	2 teams	—	39	32	10	1	0	2	4	2	1	6	1	312	385	531	916	219	286	5	10	392	119	—	—	—	—	—	—
2023	22	AA MLE	2 teams	—	513	462	112	21	3	14	38	121	9	12	5	242	312	392	704	149	296	24	7	308	95	—	—	—	—	—	—
2023	22	AA RAW	2 teams	—	513	433	125	26	3	18	58	97	9	12	5	289	377	487	865	199	332	19	11	377	95	—	—	—	—	—	—
2024	23	AAA MLE	2 teams	—	339	304	51	9	0	9	25	87	9	5	2	168	251	286	538	118	201	26	7	239	48	—	—	—	—	—	—
2024	23	AAA RAW	2 teams	—	339	286	61	10	0	14	42	65	9	5	2	213	331	395	726	182	226	19	12	329	48	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	517	459	96	22	4	15	42	104	11	7	4	209	291	373	664	163	235	20	8	294	85	—	—	—	—	—	—
2025	24	AAA RAW	3 teams	—	517	443	109	25	5	17	57	86	11	7	4	246	346	440	786	194	267	17	11	347	85	—	—	—	—	—	—
2022	21	A MLE	2 teams	—	39	35	10	1	0	2	3	3	1	6	1	286	359	486	845	200	277	8	8	344	119	—	—	—	—	—	—
2023	22	AA MLE	2 teams	—	513	461	112	21	3	14	38	121	9	12	5	243	312	393	705	150	295	24	7	308	95	—	—	—	—	—	—
2024	23	AAA MLE	2 teams	—	339	302	51	9	0	9	25	87	9	5	2	169	251	288	540	119	198	26	7	239	48	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	517	459	96	22	4	15	42	104	11	7	4	209	291	373	664	163	232	20	8	294	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	AA MLE	2 teams	—	513	461	112	21	3	14	38	121	9	12	5	243	312	393	705	150	295	24	7	308	95	—	—	—	—	—	—
2024	23	AAA MLE	2 teams	—	339	302	51	9	0	9	25	87	9	5	2	169	251	288	540	119	198	26	7	239	48	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	517	459	96	22	4	15	42	104	11	7	4	209	291	373	664	163	232	20	8	294	85	—	—	—	—	—	—
YTD	25	MLB MLE	SF	—	422	366	89	16	3	11	38	73	10	1	4	243	331	393	724	150	273	17	9	314	98	-1	-1	-1	+2	+9	0.8
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	25	MLB RAW	SF	—	366	319	75	14	3	9	34	67	8	1	4	235	324	382	707	147	268	18	9	316	98	-1	-1	-1	+2	+8	0.7
YTD	25	AAA RAW	SF	—	56	45	13	2	0	1	6	5	2	0	0	289	396	400	796	111	300	9	11	346	98	—	—	—	—	—	—
YTD	25	MLB RAW	SF	—	366	319	75	14	3	9	34	67	8	1	4	235	324	382	707	147	268	18	9	316	100	-0	-1	-1	+1	+8	0.7
ROS	25	MLB MLE	SF	100%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		265	22	11	316	100	+0	+0	+0	+0	+0	0.0
ROS	25	MLB CTX	SF	100%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		260	22	11	293	100	+0	+0	+0	+0	+0	0.0
FULL	25	MLB A+C	SF	—	375	327	76	14	3	9	35	69	8	1	4	232	322	376	698	144	266	18	9	315	99	-1	-1	-1	+1	+8	0.7
TOT	25	MLB MLE	SF	—	431	374	90	16	3	11	39	75	10	1	4	241	329	388	716	147	271	17	9	314	99	-1	-1	-1	+2	+9	0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	SF	92%	415	366	86	16	3	12	37	79	9	3	3	235	320	393	714	158	266	19	9	320	103	+1	-1	+1	+1	+9	1.2
2028	27	MLB MLE	SF	92%	421	371	88	16	3	13	38	81	9	3	3	237	323	402	725	164	266	19	9	320	103	+1	-1	+1	+2	+9	1.2
2029	28	MLB MLE	SF	92%	422	372	87	16	3	12	38	82	9	3	3	234	320	390	710	156	266	19	9	320	102	+1	-1	-0	+2	+9	1.1
2030	29	MLB MLE	SF	92%	414	364	85	16	3	12	38	81	9	2	2	234	321	393	714	159	265	20	9	318	101	+1	-0	-1	+1	+9	1.0
2031	30	MLB MLE	SF	92%	407	358	82	15	2	12	37	81	9	2	2	229	317	383	700	154	264	20	9	315	100	-0	-0	-1	+1	+9	0.8
2032	31	MLB MLE	SF	92%	392	345	79	15	2	11	36	79	8	2	2	229	316	380	696	151	262	20	9	312	97	-1	-0	-2	+1	+8	0.6
2033	32	MLB MLE	SF	92%	373	328	73	13	2	10	34	77	8	1	1	223	311	366	677	143	260	21	9	306	93	-3	-0	-3	+1	+8	0.3
2034	33	MLB MLE	SF	92%	343	302	67	12	2	9	31	72	7	1	1	222	309	364	673	142	256	21	9	299	89	-5	-0	-4	+1	+7	0.0
2027	26	MLB CTX	SF	92%	382	337	78	14	3	11	34	73	8	3	2	231	317	389	705	157	261	19	9	297	103	+1	-0	+1	+1	+8	1.2
2028	27	MLB CTX	SF	92%	387	341	79	15	3	11	35	74	8	3	2	232	318	390	708	158	261	19	9	297	103	+1	-0	+1	+1	+8	1.2
2029	28	MLB CTX	SF	92%	388	342	79	15	3	11	35	75	8	3	2	231	317	389	706	158	261	19	9	296	102	+1	-0	-0	+1	+8	1.1
2030	29	MLB CTX	SF	92%	381	335	75	14	2	10	35	75	8	2	2	224	312	367	679	143	260	20	9	295	101	+1	-0	-1	+1	+8	0.9
2031	30	MLB CTX	SF	92%	374	329	74	14	2	10	34	74	8	2	2	225	313	371	683	146	259	20	9	292	100	-0	-0	-1	+1	+8	0.8
2032	31	MLB CTX	SF	92%	361	317	70	13	2	9	33	73	8	2	2	221	310	360	670	139	257	20	9	289	97	-1	-0	-2	+1	+8	0.5
2033	32	MLB CTX	SF	92%	343	302	65	12	2	8	31	70	7	1	1	215	303	348	651	132	255	20	9	284	93	-3	-0	-3	+1	+7	0.3
2034	33	MLB CTX	SF	92%	316	278	60	11	2	7	29	66	6	1	1	216	304	345	649	129	251	21	9	278	89	-4	-0	-3	+1	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3050	2689	600	113	20	80	274	602	62	18	15	223	309	369	679	146	257	20	9	290	93	-9	-2	-7	+5	+66	5.4
/ 162G	—	A+C		—	650	573	127	24	4	17	58	128	13	4	3	222	307	366	674	145	255	20	9	290	93	-2	-1	-2	+1	+14	1.2
Career	—	MLE		—	4604	4074	917	172	27	131	398	949	98	47	29	225	309	377	686	152	260	21	9	306	93	-9	-4	-8	+6	+72	5.8
/ 162G	—	MLE		—	650	575	129	24	4	18	56	134	14	7	4	224	309	374	682	150	260	21	9	306	93	-2	-1	-2	+1	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Aaron Hickslast yr '24 career totals — 12 seasons, 3,651 PA	5.5	3,651	109	71	231	330	383	+7	-9	11.8	12.4
/162	664	20	13	+1.3	-1.6	2.1	pk7: 13
#2Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#3Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	5.7	3,757	106	22	230	312	384	+9	+4	9.9	9.0
/162	664	19	4	+1.6	+0.7	1.7	pk7: 8
#4Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#6Ian Stewartlast yr '14 career totals — 6 seasons, 1,646 PA	2.5	1,646	60	17	230	317	416	+6	+2	6.2	6.2
/162	664	24	7	+2.4	+0.9	2.5	pk7: 6

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
Drew Gilbert (OGILVIE)	25	55	55	45	55	231/315/385	154	265	10	2	19%	9%	100	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕James Darnell 2012 · MLB	25	49→52	51→55	46→40	51	249/317/415	166	285	19	4	20%	8%	107	+1.8	231/293/382	151	278	17	6	23%	7%	90	+0.6	211/290/383	172	236	24	3	22%	8%	88	+0.1
✕Lonnie Chisenhall 2014 · MLB	25	49→57	51→55	49→45	44	249/296/411	162	285	18	5	20%	5%	98	+1.2	259/311/403	144	305	14	6	19%	6%	101	+1.4	279/336/448	169	324	15	7	18%	7%	116	+1.2
✕Luis Urías 2022 · MLB	25	48→58	52→55	47→45	53	244/331/415	171	286	20	7	22%	10%	112	+2.2	225/322/372	147	271	17	5	23%	10%	99	+1.3	209/313/340	131	256	15	4	23%	10%	87	+0.3
✕Nomar Mazara 2020 · MLB	25	49→52	54→55	46→40	47	255/314/433	178	297	22	4	22%	7%	109	+2.0	246/307/385	139	312	15	4	25%	7%	96	+1.0	242/308/357	115	311	11	0	24%	8%	88	+0.2
●Brad Miller 2015 · MLB	25	50→57	48→60	49→50	49	249/309/394	145	295	15	9	21%	8%	98	+1.2	240/313/415	175	289	19	10	23%	9%	105	+1.7	234/318/416	182	283	20	10	24%	10%	104	+1.4
✕Taylor Green 2012 · MLB	25	50→56	49→50	41→30	49	252/308/403	151	284	16	2	18%	7%	100	+1.3	230/287/359	129	275	13	4	21%	6%	82	+0.0	204/257/297	93	241	9	1	19%	5%	55	-1.1
✕Cheslor Cuthbert 2018 · MLB	25	50→56	48→50	46→45	46	252/300/395	143	293	16	4	20%	6%	95	+1.0	239/293/385	146	288	17	4	23%	6%	91	+0.6	215/277/357	142	256	17	1	23%	7%	76	-0.2
✕Chris Carter 2008 · AAA	25	53→57	49→55	46→40	50	264/317/414	150	290	16	5	16%	7%	105	+1.7	258/301/399	141	289	16	3	16%	6%	97	+1.1	258/301/398	141	284	17	0	16%	5%	96	+0.8
✕Matt Thaiss 2020 · MLB	25	44→50	48→50	46→45	49	222/290/366	144	270	16	5	24%	8%	85	+0.2	227/300/382	155	283	17	6	25%	9%	93	+0.8	225/309/368	143	285	17	5	26%	10%	90	+0.4
●Stephen Drew 2007 · MLB	24	51→57	51→55	47→45	47	258/307/427	169	297	17	6	20%	7%	105	+1.7	258/315/422	164	293	15	6	17%	8%	107	+1.8	271/331/452	181	305	15	6	16%	8%	114	+2.5
✕Andy LaRoche 2009 · MLB	25	47→55	48→55	45	58	236/323/373	137	258	16	7	16%	11%	99	+1.3	235/308/356	121	264	12	5	15%	8%	89	+0.5	236/306/352	116	266	10	3	15%	8%	85	+0.2
✕Maikel Franco 2018 · MLB	25	47→56	53→55	45→40	49	242/295/411	169	256	21	2	16%	7%	97	+1.1	245/299/421	176	255	23	2	15%	7%	101	+1.4	249/304/428	178	258	24	1	14%	7%	92	+0.5
●Colby Rasmus 2012 · MLB	25	48→55	53→65	47→50	52	246/319/429	183	294	20	8	23%	10%	110	+2.1	239/305/432	193	295	23	5	27%	8%	106	+1.8	243/311/468	224	317	29	3	32%	8%	115	+1.8
✕Domonic Brown 2014 · MLB	26	50→54	52→50	47→55	50	256/314/428	172	286	20	9	18%	8%	108	+1.9	232/282/352	120	274	13	10	20%	6%	78	-0.3	225/269/347	122	268	14	2	22%	5%	71	-0.5
✕Keibert Ruiz 2023 · MLB	25	50→57	49→50	48→40	51	251/308/398	148	261	16	6	12%	7%	99	+1.3	247/292/381	134	257	16	4	11%	5%	89	+0.5	249/284/377	128	261	14	3	11%	4%	83	+0.1
✕Francisco Mejía 2021 · MLB	25	46→56	50→55	46→40	42	235/286/395	160	278	18	4	23%	5%	91	+0.6	243/289/396	153	288	15	3	21%	5%	92	+0.7	244/284/399	155	290	15	0	21%	4%	89	+0.2
●Max Kepler 2019 · MLB	26	45→55	53→60	45→50	55	234/316/415	181	256	19	6	18%	10%	106	+1.8	237/324/457	220	248	27	6	18%	10%	119	+2.7	231/322/462	231	236	30	7	18%	11%	117	+1.8
●Luis Valbuena 2011 · MLB	25	48→55	45→60	44→50	51	238/304/366	128	281	11	7	20%	8%	90	+0.6	231/301/358	127	283	13	5	22%	9%	87	+0.4	240/332/440	200	275	24	1	22%	12%	114	+1.8
✕Alex Kirilloff 2023 · MLB	25	51→60	52→55	46→45	46	261/320/425	165	306	20	5	22%	7%	110	+2.1	252/322/424	172	311	20	5	25%	8%	110	+2.1	248/324/425	177	308	21	3	25%	8%	108	+0.9
✕Hank Conger 2013 · MLB	25	45→55	47→50	46→45	47	228/283/358	130	262	15	4	20%	7%	80	-0.1	233/296/377	144	284	16	4	23%	7%	90	+0.6	230/303/385	155	283	18	0	24%	8%	92	+0.3

Career Stats + Projections

Career Comps

Career Path Comps