David Villar — OGILVIE

David Villar1B Syracuse Mets

Age 29 R/R 5'11" / 216 lbs AAA H -5% Svc 4.000 · Ctrl thru 2027

2026 ROS PROJECTION0 act + 0 ros · stats below = ROS only

showingROS

wRC+†82

AVG/OBP/SLG—

PA3

HR0

K%33

BB%11

BABIP261

ISO160

MLB%10%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 45 / POW 45

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT45

Whiff%

1714.7%

xAVG

100.211

POWER45

Barrel%

8112.8

Avg EV

3087.6

Bat Spd

3069.2

EYE60

Chase%

7027.8%

SPEED45

Sprint

2326.2

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

Status Arb-2

MLB Debut 2022

Service 4.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Arb-2	$0.0M	—	—	—
2027	Arb-3	$0.7M	—	—	—
Totals		$0.0M		$-0.8M	+$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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2018	21	ROK	AZL Giants Black	—	25	19	6	1	0	0	4	5	1	0	0	316	458	368	827	53	400	20	16	373	139	+1	+0	—	—	+1	0.2
2019	22	A+	San Jose Giants	—	479	423	111	24	2	13	40	144	9	4	1	262	339	421	760	158	359	30	8	336	113	+8	+0	—	—	+10	1.9
2021	24	AA	Richmond Flying Squirrels	—	446	385	106	29	0	20	46	112	15	5	1	275	374	506	881	231	340	25	10	389	149	+26	+1	—	—	+10	3.7
2022	25	MLB	San Francisco Giants	—	181	156	36	6	1	9	18	58	6	0	1	231	333	455	788	224	300	32	10	349	122	+5	-0	-1	+2	+4	1.0
2022	25	AAA	Sacramento River Cats	—	366	298	82	19	1	27	55	93	11	1	1	275	407	617	1.024	342	306	25	15	438	183	+36	-0	—	—	+8	4.5
2023	26	MLB	San Francisco Giants	—	140	124	18	6	0	5	11	45	4	1	1	145	237	315	552	169	173	32	8	250	56	-7	-0	+2	+2	+3	-0.1
2023	26	AAA	Sacramento River Cats	—	334	287	78	14	0	17	44	89	2	5	0	272	372	498	871	226	335	27	13	383	146	+18	+1	—	—	+7	2.7
2024	27	MLB	San Francisco Giants	—	37	35	9	4	0	1	1	13	0	0	0	257	278	457	735	200	364	35	3	312	97	-0	+0	-1	-9	+1	-1.0
2024	27	AAA	Sacramento River Cats	—	482	408	106	26	0	16	60	124	8	2	1	260	366	441	807	181	328	26	12	358	128	+16	+0	—	—	+10	2.7
2025	28	MLB	San Francisco Giants	—	25	20	4	1	0	0	4	5	1	0	0	200	360	250	610	50	267	20	16	301	90	-0	+0	-1	-5	+1	-0.6
2025	28	AAA	Syracuse Mets	—	249	210	51	6	0	7	35	58	2	1	0	243	356	371	728	129	299	23	14	332	110	+3	+0	—	—	+5	0.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	383	335	67	17	1	15	34	121	11	1	2	200	295	391	686	191	257	32	9	306	93	-3	-1	-1	-11	+8	-0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	21	ROK MLE	AZL Giants Black	—	25	21	5	1	0	0	2	7	1	0	0	238	333	286	619	48	322	28	8	289	82	-1	+0	—	—	+1	-0.0
2019	22	A+ MLE	San Jose Giants	—	479	433	82	17	1	11	30	198	9	4	1	189	256	309	566	120	299	41	6	251	56	-25	+0	—	—	+10	-1.5
2021	24	AA MLE	Richmond Flying Squirrels	—	446	403	91	22	0	17	28	136	15	5	1	226	300	407	707	181	290	30	6	301	90	-5	+1	—	—	+10	0.5
2022	25	MLB MLE	San Francisco Giants	—	181	156	37	6	1	10	18	58	6	0	1	237	339	481	820	244	300	32	10	356	127	+6	-0	-1	+2	+4	1.1
2022	25	AAA MLE	Sacramento River Cats	—	366	313	66	15	1	20	40	122	11	1	1	211	321	457	778	246	258	33	11	334	112	+5	-0	—	—	+8	1.3
2023	26	MLB MLE	San Francisco Giants	—	140	124	18	6	0	5	11	45	4	1	1	145	237	315	552	169	173	32	8	256	59	-7	-0	+2	+2	+3	-0.1
2023	26	AAA MLE	Sacramento River Cats	—	334	299	64	11	0	12	32	106	2	5	0	214	294	371	666	157	287	32	10	296	86	-5	+1	—	—	+7	0.3
2024	27	MLB MLE	San Francisco Giants	—	37	35	9	4	0	1	1	13	0	0	0	257	278	457	735	200	364	35	3	318	101	+0	+0	-1	-9	+1	-1.0
2024	27	AAA MLE	Sacramento River Cats	—	482	428	88	19	0	12	40	148	8	2	1	206	286	334	620	129	274	31	8	280	76	-14	+0	—	—	+10	-0.4
2025	28	MLB MLE	San Francisco Giants	—	25	20	4	1	0	0	4	5	1	0	0	200	360	250	610	50	267	20	16	301	90	-0	+0	-1	-5	+1	-0.6
2025	28	AAA MLE	Syracuse Mets	—	249	221	44	5	0	4	24	71	2	1	0	199	283	276	559	77	263	29	10	254	58	-12	+0	—	—	+5	-0.7
2018	21	ROK MLE	AZL Giants Black	—	25	21	5	1	0	0	2	7	1	0	0	238	333	286	619	48	333	28	8	289	82	—	—	—	—	—	—
2018	21	ROK RAW	AZL Giants Black	—	25	19	6	1	0	0	4	5	1	0	0	316	458	368	827	53	400	20	16	373	82	—	—	—	—	—	—
2019	22	A+ MLE	San Jose Giants	—	479	433	82	17	1	11	30	198	9	4	1	189	256	309	566	120	307	41	6	251	56	—	—	—	—	—	—
2019	22	A+ RAW	San Jose Giants	—	479	423	111	24	2	13	40	144	9	4	1	262	339	421	760	158	359	30	8	336	56	—	—	—	—	—	—
2021	24	AA MLE	Richmond Flying Squirrels	—	446	403	91	22	0	17	28	136	15	5	1	226	300	407	707	181	296	30	6	301	90	—	—	—	—	—	—
2021	24	AA RAW	Richmond Flying Squirrels	—	446	385	106	29	0	20	46	112	15	5	1	275	374	506	881	231	340	25	10	389	90	—	—	—	—	—	—
2022	25	AAA MLE	2 teams	—	547	469	103	21	2	30	58	180	17	1	2	220	327	465	792	245	279	33	11	341	117	—	—	—	—	—	—
2022	25	AAA RAW	2 teams	—	547	454	118	25	2	36	73	151	17	1	2	260	382	562	944	302	304	28	13	408	117	—	—	—	—	—	—
2023	26	AAA MLE	2 teams	—	474	423	84	17	0	18	43	151	6	6	1	199	282	366	648	168	258	32	9	284	78	—	—	—	—	—	—
2023	26	AAA RAW	2 teams	—	474	411	96	20	0	22	55	134	6	6	1	234	333	443	775	209	288	28	12	344	78	—	—	—	—	—	—
2024	27	AAA MLE	2 teams	—	519	463	99	24	0	14	41	161	8	2	1	214	289	356	645	143	288	31	8	283	77	—	—	—	—	—	—
2024	27	AAA RAW	2 teams	—	519	443	115	30	0	17	61	137	8	2	1	260	359	442	802	183	331	26	12	354	77	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	274	241	48	6	0	4	28	76	3	1	0	199	290	274	564	75	270	28	10	258	61	—	—	—	—	—	—
2025	28	AAA RAW	2 teams	—	274	230	55	7	0	7	39	63	3	1	0	239	357	361	717	122	296	23	14	329	61	—	—	—	—	—	—
2018	21	ROK MLE	AZL Giants Black	—	25	22	5	1	0	0	2	7	1	0	0	227	333	273	606	45	322	28	8	289	82	—	—	—	—	—	—
2019	22	A+ MLE	San Jose Giants	—	479	437	82	17	1	11	30	198	9	4	1	188	256	307	563	119	299	41	6	251	56	—	—	—	—	—	—
2021	24	AA MLE	Richmond Flying Squirrels	—	446	400	91	22	0	17	28	136	15	5	1	228	300	410	710	182	290	30	6	301	90	—	—	—	—	—	—
2022	25	AAA MLE	2 teams	—	547	467	103	21	2	30	58	180	17	1	2	221	327	467	794	246	272	33	11	341	117	—	—	—	—	—	—
2023	26	AAA MLE	2 teams	—	474	422	84	17	0	18	43	151	6	6	1	199	282	367	649	168	253	32	9	284	78	—	—	—	—	—	—
2024	27	AAA MLE	2 teams	—	519	465	99	24	0	14	41	161	8	2	1	213	289	355	644	142	280	31	8	283	77	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	274	241	48	6	0	4	28	76	3	1	0	199	290	274	564	75	263	28	10	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	26	AAA MLE	2 teams	—	474	422	84	17	0	18	43	151	6	6	1	199	282	367	649	168	253	32	9	284	78	—	—	—	—	—	—
2024	27	AAA MLE	2 teams	—	519	465	99	24	0	14	41	161	8	2	1	213	289	355	644	142	280	31	8	283	77	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	274	241	48	6	0	4	28	76	3	1	0	199	290	274	564	75	263	28	10	258	61	—	—	—	—	—	—
▸ 2026 season
2026	29	MLB MLE	NYM	10%	28	25	5	1	0	1	3	8	0	0	0	200	286	360	646	160	268	29	11	290	82	-1	+0	-0	-0	+1	-0.4
▸ 2026 — real world (MLB)
2026	29	MLB CTX	NYM	10%	3	3	0	0	0	0	0	1	0	0	0						261	33	0	276	82	-0	+0	-0	-0	+0	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	30	MLB MLE	NYM	27%	342	304	64	12	1	10	31	96	4	2	1	211	292	355	647	145	266	28	9	287	80	-8	+0	-2	-6	+7	-0.9
2027	30	MLB CTX	NYM	27%	93	84	17	3	0	3	8	26	1	1	0	202	280	345	625	143	259	28	9	273	80	-2	+0	-1	-2	+2	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	476	419	84	20	1	18	42	147	12	2	2	200	292	382	674	181	257	31	9	300	82	-5	-0	-2	-12	+10	-0.9
/ 162G	—	A+C		—	650	572	114	27	1	25	57	201	16	3	3	199	289	381	671	182	254	31	9	300	82	-7	-1	-2	-17	+14	-1.3
Career	—	MLE		—	3134	2782	581	121	4	105	264	1013	63	21	7	209	292	368	660	160	282	32	8	289	82	-12	-1	-3	-17	+16	-1.7
/ 162G	—	MLE		—	650	577	121	25	1	22	55	210	13	4	1	210	293	371	664	161	283	32	8	289	82	-10	-1	-3	-15	+14	-1.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Chris 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
#3John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#6Chad Pinderlast yr '22 career totals — 7 seasons, 1,740 PA	2.6	1,740	62	5	242	294	417	-17	-20	0.6	0.6
/162	664	24	2	-6.5	-7.6	0.2	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.7	447	18	2	199	289	382	-8	-1	-0.2	-0.1
/162	664	26	3	-11.9	-1.0	-0.3	pk7: -0

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
David Villar (OGILVIE)	29	45	45	45	60	209/289/349	140	268	9	2	28%	9%	82	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brett Carroll 2011 · MLB	28	40→45	48→55	45→50	44	207/283/349	141	260	15	8	26%	7%	80	-0.2	210/276/339	129	270	14	11	27%	7%	74	-0.5	201/267/326	125	260	14	11	27%	7%	65	-0.8
●Jeff Bailey 2008 · AAA	29	42→49	48→50	44→45	48	215/297/354	139	269	16	7	26%	8%	86	+0.3	231/312/380	149	283	16	6	23%	9%	97	+1.1	230/314/377	146	281	16	3	23%	8%	94	+0.8
✕Jorge Bonifacio 2022 · MLB	29	39→49	49→50	46→45	44	204/267/354	150	260	16	7	28%	7%	74	-0.5	209/277/357	148	271	18	8	29%	8%	79	-0.2	199/270/344	145	254	19	7	29%	8%	72	-0.6
✕Bryce Brentz 2018 · MLB	29	43→49	49→55	46→40	41	222/268/367	145	285	18	4	29%	6%	77	-0.3	207/267/375	168	298	21	4	36%	7%	79	-0.2	177/246/353	176	265	23	1	41%	7%	64	-0.6
✕Jason Coats 2019 · MLB	29	43→50	48→50	49→45	40	221/264/366	145	273	15	6	25%	5%	75	-0.5	211/251/351	140	277	17	9	29%	5%	68	-1.0	192/227/324	131	251	18	8	31%	4%	49	-1.4
✕Taylor Jones 2023 · MLB	29	46	49→50	43→40	45	230/304/384	153	307	16	3	29%	8%	95	+1.0	217/293/368	151	291	16	10	30%	8%	87	+0.4	176/258/332	156	224	18	12	29%	9%	63	-0.5
✕Chris Marrero 2017 · AAA	29	46→52	48→50	47→30	43	234/275/377	143	273	16	2	21%	5%	82	-0.0	225/278/366	141	270	16	6	23%	6%	80	-0.1	150/217/266	116	169	16	0	23%	6%	35	-0.6
✕Brad Nelson 2012 · MLB	29	41→49	50	44→50	47	213/276/360	147	251	18	4	24%	8%	79	-0.2	221/281/367	146	270	18	4	24%	8%	82	+0.0	213/274/351	138	257	17	2	24%	7%	75	-0.4
✕Xavier Scruggs 2016 · MLB	28	42→46	47→50	42→45	44	211/285/345	133	287	15	6	31%	8%	79	-0.2	230/309/398	168	305	19	7	29%	9%	100	+1.3	227/313/418	191	295	24	4	30%	9%	104	+0.9
✕Alex Burg 2016 · AAA	28	45→42	50	44→40	46	227/302/379	152	300	18	3	30%	9%	93	+0.8	209/268/339	130	274	14	5	28%	6%	71	-0.8	175/227/281	106	226	10	2	27%	5%	40	-1.5
✕Jon Knott 2008 · MLB	29	41→40	53→55	45→40	47	219/288/396	178	263	21	5	26%	8%	92	+0.7	219/286/370	151	277	17	6	26%	8%	84	+0.2	205/268/350	145	253	16	2	25%	7%	70	-0.7
✕Jerad Head 2012 · MLB	29	44	48→50	47→50	38	227/273/374	147	280	16	6	25%	4%	81	-0.1	224/277/359	135	274	15	8	24%	5%	79	-0.2	220/277/349	129	266	15	7	23%	5%	72	-0.4
✕Jamie Romak 2015 · MLB	29	38→48	50→55	48→45	41	204/257/359	154	261	18	6	29%	6%	72	-0.7	219/276/397	178	299	21	7	33%	7%	88	+0.4	213/276/407	193	290	23	6	34%	7%	87	+0.2
✕Clint Coulter 2023 · AAA	30	43	50	43→40	41	222/284/377	155	275	18	5	26%	6%	86	+0.3	222/291/357	135	271	14	9	23%	6%	84	+0.2	199/277/318	119	239	11	9	21%	6%	66	-0.4
✕Brock Peterson 2013 · AAA	29	42→51	51→50	43→40	43	220/281/380	160	283	19	5	29%	7%	85	+0.2	226/283/373	147	302	17	3	30%	7%	84	+0.1	215/275/351	136	290	16	1	30%	7%	74	-0.4
✕O'Koyea Dickson 2019 · AAA	29	41→46	54→55	44→45	44	220/281/396	176	262	22	6	26%	7%	89	+0.5	232/290/381	149	270	16	9	20%	6%	88	+0.5	237/288/397	160	256	14	0	14%	5%	88	+0.1
✕Yermín Mercedes 2022 · MLB	29	49→54	48→50	47→45	46	247/297/385	138	281	17	5	19%	6%	92	+0.7	230/296/371	141	283	17	9	24%	8%	88	+0.5	207/286/346	139	259	18	10	27%	9%	78	-0.1
✕Nick Evans 2015 · MLB	29	47→55	50→55	41→40	47	239/297/396	158	285	18	3	23%	7%	95	+0.9	246/302/379	133	314	14	4	25%	7%	92	+0.7	249/306/367	118	322	13	0	25%	7%	87	+0.4
✕Jeff Frazier 2012 · MLB	29	42→52	47→50	42→45	44	214/256/346	132	237	14	5	18%	5%	68	-1.0	214/262/322	108	249	12	6	19%	5%	64	-1.3	207/251/281	74	242	9	2	18%	4%	48	-1.3
✕Ryan Cordell 2021 · MLB	29	43	46→50	49→50	42	215/271/341	126	287	13	11	30%	6%	72	-0.7	204/270/355	151	326	19	14	41%	7%	76	-0.4	143/213/283	140	229	22	18	47%	7%	37	-1.2

Career Stats + Projections

Career Comps

Career Path Comps