Damian Bravo

LF San Jose Giants

Age 23 R/R 6'1" / 200 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	A+SF	98	.276/.344/.322	0	1	64	—	.239/.302/.273
2026	22	A+/ASF	323	.283/.355/.514	14	11	79	—	.222/.283/.396
2027PROJMLE	23	MLBSF	433	.223/.277/.364	12	8	79	0.0
2028PROJ30% MLB	24	MLBSF	72	.221/.277/.360	2	1	82	-0.1
2029PROJ44% MLB	25	MLBSF	134	.223/.280/.363	4	3	84	-0.1

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

ISO94

wRC+78

wOBA74

Speed66

Z-Con%47

BB%42

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsTroy Stokes Jr. (age 23) · Michael Guldberg (age 23) · Christian Koss (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†79

AVG/OBP/SLG.221 / .275 / .361

PA210

HR6

K%26

BB%5

ISO141

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 40 / POW 50

Toolsscout grade

CONTACT40

scouting grade only

POWER50

scouting grade only

EYE43

scouting grade only

SPEED54

scouting grade only

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
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	$0.9M	—	—	—
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		$-2M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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)
2025	21	A+	Eugene Emeralds	—	98	87	24	4	0	0	5	18	4	1	2	276	344	322	666	46	338	18	5	303	64	—	—	—	—	—	—
2026	22	A+	Eugene Emeralds	—	75	66	17	6	0	4	8	22	1	4	1	258	347	530	877	273	325	29	11	382	74	—	—	—	—	—	—
2026	22	A	San Jose Giants	—	248	220	64	16	1	10	15	53	8	7	0	291	358	509	867	218	333	21	6	374	80	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Eugene Emeralds	—	98	88	21	3	0	0	4	23	4	1	2	239	302	273	575	34	308	23	4	263	64	—	—	—	—	—	—
2026	22	A+ MLE	Eugene Emeralds	—	75	68	13	4	0	3	6	30	1	4	1	191	267	382	649	191	278	40	8	277	74	—	—	—	—	—	—
2026	22	A MLE	San Jose Giants	—	248	225	52	12	1	8	10	72	8	7	0	231	288	400	688	169	276	29	4	287	80	—	—	—	—	—	—
2025	21	A+ MLE	Eugene Emeralds	—	98	88	21	3	0	0	4	23	4	1	2	239	302	273	575	34	313	23	4	263	64	—	—	—	—	—	—
2025	21	A+ RAW	Eugene Emeralds	—	98	87	24	4	0	0	5	18	4	1	2	276	344	322	666	46	338	18	5	303	64	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	323	293	63	16	1	10	16	102	9	11	1	215	277	379	656	164	285	32	5	285	79	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	323	286	81	22	1	14	23	75	9	11	1	283	355	514	869	231	332	23	7	376	79	—	—	—	—	—	—
2025	21	A+ MLE	Eugene Emeralds	—	98	90	21	3	0	0	4	23	4	1	2	233	302	267	569	33	308	23	4	263	64	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	323	295	63	16	1	10	16	102	9	11	1	214	277	376	653	163	276	32	5	285	79	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A+ MLE	Eugene Emeralds	—	98	90	21	3	0	0	4	23	4	1	2	233	302	267	569	33	308	23	4	263	64	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	323	295	63	16	1	10	16	102	9	11	1	214	277	376	653	163	276	32	5	285	79	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	SF	0%	433	400	90	18	2	12	23	114	7	8	2	223	277	364	641	141	279	26	5	285	79	-11	+1	+0	-5	+9	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	SF	30%	240	221	50	10	1	7	13	62	4	5	1	225	281	371	652	145	281	26	5	290	82	-5	+1	+0	-3	+5	-0.2
2029	25	MLB MLE	SF	44%	303	278	63	12	1	9	17	78	5	6	2	227	284	375	658	148	281	26	6	293	84	-6	+0	+0	-3	+7	-0.2
2030	26	MLB MLE	SF	51%	348	319	73	14	2	10	20	89	6	7	2	228	286	377	662	149	282	26	6	294	85	-6	+1	+0	-4	+8	-0.2
2031	27	MLB MLE	SF	52%	364	333	76	15	2	10	22	93	6	7	2	228	286	375	662	148	282	26	6	294	85	-6	+1	+0	-4	+8	-0.2
2032	28	MLB MLE	SF	53%	371	339	77	15	2	10	23	95	6	7	2	227	286	372	659	146	281	26	6	293	84	-7	+1	-1	-4	+8	-0.3
2033	29	MLB MLE	SF	53%	366	336	76	15	2	10	22	95	5	6	2	224	283	366	649	142	280	26	6	289	82	-8	+0	-1	-4	+8	-0.5
2034	30	MLB MLE	SF	56%	358	329	72	14	1	9	21	94	5	6	2	221	279	358	638	137	278	26	6	285	79	-9	+0	-2	-4	+8	-0.7
2028	24	MLB CTX	SF	30%	72	67	14	3	0	2	4	19	1	1	0	221	277	360	637	139	277	26	6	284	82	-2	+0	+0	-1	+2	-0.1
2029	25	MLB CTX	SF	44%	134	123	29	6	1	4	8	35	2	3	1	223	280	363	643	141	277	26	6	287	84	-3	+0	+0	-1	+3	-0.1
2030	26	MLB CTX	SF	51%	176	161	36	7	1	5	10	45	3	4	1	223	282	365	647	142	278	26	6	288	85	-3	+0	+0	-2	+4	-0.1
2031	27	MLB CTX	SF	52%	191	175	39	8	1	5	11	49	3	4	1	223	282	364	647	141	278	26	6	288	85	-3	+0	+0	-2	+4	-0.1
2032	28	MLB CTX	SF	53%	198	181	40	8	1	5	12	51	3	4	1	222	282	361	643	139	277	26	6	287	84	-4	+0	-0	-2	+4	-0.1
2033	29	MLB CTX	SF	53%	192	175	39	8	1	5	12	50	3	3	1	220	279	355	635	135	276	26	6	283	82	-4	+0	-1	-2	+4	-0.3
2034	30	MLB CTX	SF	56%	202	185	40	8	1	5	12	53	3	3	1	217	276	348	624	131	274	26	6	279	79	-5	+0	-1	-2	+4	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1165	1067	237	48	6	31	69	302	18	22	6	222	281	366	646	143	278	26	6	285	82	-23	+2	-2	-12	+25	-1.1
/ 162G	—	A+C		—	650	595	132	27	3	17	38	168	10	12	3	222	280	363	643	141	278	26	6	285	82	-13	+1	-1	-7	+14	-0.6
Career	—	MLE		—	2981	2729	615	123	13	81	169	786	54	60	17	225	284	369	653	144	284	26	6	289	82	-52	+4	-4	-27	+55	-2.5
/ 162G	—	MLE		—	650	595	135	27	3	18	37	171	12	13	4	227	286	373	659	146	285	26	6	289	82	-13	+1	-1	-7	+14	-0.6

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ASan Jose Giants · 248 PAwOBA .371 → .287 (−84)K% 21.4% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.37%	÷1.000	×1.360	—	—	29.06%
BB% (unintentional) /PA	6.05%	÷1.000	×0.690	—	×0.990	4.13%
HBP% /PA	3.23%	—	×0.780	—	×0.990	2.49%
Singles /BIP	22.16%	÷1.000	×0.920	×0.950	×0.990	19.17%
Doubles /BIP	9.58%	÷1.000	×0.830	×0.950	×0.990	7.48%
Triples /BIP	0.60%	÷1.000	×0.910	×0.950	×0.990	0.51%
Home runs /BIP	5.99%	÷1.000	×0.800	—	×0.990	4.74%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .371 → .287; ISO .218 → .165; BABIP .333 → .276. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+Eugene Emeralds · 75 PAwOBA .372 → .277 (−95)K% 29.3% → 39.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.33%	÷1.000	×1.350	—	—	39.60%
BB% (unintentional) /PA	10.67%	÷1.000	×0.710	—	×0.998	7.56%
HBP% /PA	1.33%	—	×0.810	—	×0.998	1.08%
Singles /BIP	15.91%	÷1.000	×0.910	—	×0.998	14.45%
Doubles /BIP	13.64%	÷1.000	×0.830	—	×0.998	11.30%
Triples /BIP	0.00%	÷1.000	×0.820	—	×0.998	0.00%
Home runs /BIP	9.09%	÷1.000	×0.830	—	×0.998	7.53%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .372 → .277; ISO .273 → .199; BABIP .325 → .278. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Eugene Emeralds · 98 PAwOBA .301 → .263 (−39)K% 18.4% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.37%	÷1.070	×1.350	—	—	23.17%
BB% (unintentional) /PA	5.10%	÷0.950	×0.710	—	×1.012	3.86%
HBP% /PA	4.08%	—	×0.810	—	×1.012	3.35%
Singles /BIP	28.99%	÷1.011	×0.910	×1.022	×1.012	26.99%
Doubles /BIP	5.80%	÷1.048	×0.830	×1.022	×1.012	4.75%
Triples /BIP	0.00%	÷0.909	×0.820	×1.022	×1.012	0.00%
Home runs /BIP	0.00%	÷0.980	×0.830	—	×1.012	0.00%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 102, 2B 110, 3B 82, K 114, BB 90 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .301 → .263; ISO .046 → .037; BABIP .338 → .308. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

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
#3Larry Stahl'64-'73 * career totals — 9 seasons, 1,889 PA	2.8	1,889	36	22	235*	297*	387*	-16	+11	2.4	2.9
/162	664	13	8	-5.5	+3.9	0.8	pk7: 4
#4Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	pk7: 1
#5Jake 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.1	1,375	38	26	226	281	371	-9	+0	0.3	0.4
/162	664	18	13	-4.5	+0.0	0.2	pk7: 0
#6Karim Garcia'95-'04 * career totals — 6 seasons, 1,560 PA	2.3	1,560	66	10	231*	269*	413*	-16	-3	-1.0	0.1
/162	664	28	4	-6.7	-1.3	-0.4	pk7: 1

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
Damian Bravo (OGILVIE)	23	35→40	45→50	49→54	43	221/275/361	140	279	6	4	26%	5%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Troy Stokes Jr. 2019 · AA	23	41→40	47→50	54→55	44	208/283/351	143	281	14	17	30%	8%	80	-0.2	198/279/320	122	275	12	17	30%	8%	71	-0.8	173/262/276	103	236	10	19	29%	9%	53	-1.1
✕Michael Guldberg 2022 · A	23	45	44→45	55	44	222/290/341	119	280	12	16	24%	7%	80	-0.2	214/272/298	84	283	6	12	25%	6%	62	-1.4	205/259/264	60	274	3	10	25%	6%	47	-0.7
✕Christian Koss 2022 · A	24	42→47	47→45	50	39	217/262/353	136	281	15	9	29%	5%	72	-0.7	224/268/346	122	299	12	14	28%	4%	72	-0.7	246/294/365	119	307	12	15	23%	5%	85	+0.1
✕D.J. Stewart 2022 · A	23	44	47→50	49→55	41	223/272/352	129	284	15	7	27%	6%	75	-0.5	209/256/330	121	278	13	14	29%	5%	64	-1.3	181/224/301	120	237	13	22	30%	4%	42	-1.5
✕Alex Glenn 2014 · A	23	41→42	48→55	55→50	42	209/275/352	143	286	15	11	31%	7%	76	-0.4	216/263/365	149	280	15	11	28%	5%	74	-0.5	214/256/366	152	271	15	10	27%	5%	69	-0.6
✕Stefan Trosclair 2018 · A	24	43→42	47→50	50	44	214/288/348	134	285	14	9	29%	7%	81	-0.1	214/278/341	127	301	13	7	32%	6%	75	-0.5	201/264/327	126	284	14	4	33%	5%	65	-0.9
✕Jabari Henry 2013 · A	22	41	46→55	49→45	44	208/269/341	133	270	13	6	28%	7%	72	-0.7	206/283/358	152	269	17	6	28%	9%	81	-0.1	191/276/354	163	247	19	6	30%	10%	74	-0.4
✕Jeremiah Jackson 2023 · AA	23	38→48	49→55	48→55	42	201/265/351	150	272	17	12	32%	7%	73	-0.6	221/268/376	155	290	20	15	30%	6%	80	-0.2	231/272/390	159	293	20	15	28%	5%	82	+0.0
✕Jiandido Tromp 2017 · A	23	39→48	49→50	50→45	37	203/245/354	151	266	16	9	30%	5%	65	-1.2	219/264/343	124	295	12	8	29%	5%	70	-0.9	220/265/331	111	298	10	8	29%	5%	64	-0.9
✕Jeremy Baltz 2014 · A	23	46	47→50	49→45	39	232/279/371	139	297	15	6	27%	5%	82	-0.0	211/282/351	140	288	15	5	31%	6%	79	-0.2	195/273/341	145	264	17	4	31%	6%	73	-0.5
✕Brad Glenn 2011 · A	24	41→46	50→55	50→45	41	214/267/366	152	281	18	10	30%	6%	76	-0.4	211/258/375	164	285	20	5	33%	5%	76	-0.4	223/272/362	139	291	16	2	28%	6%	74	-0.4
✕Brandon Sizemore 2010 · A	23	42	46→50	54→50	38	208/268/342	134	288	13	12	31%	5%	72	-0.7	201/248/314	113	272	11	7	29%	5%	57	-1.8	169/206/275	106	214	13	3	28%	4%	31	-1.3
✕Brandon Meredith 2013 · A	23	46→39	50	52→45	43	232/298/391	159	310	17	11	30%	7%	94	+0.9	211/289/360	149	277	17	7	29%	9%	84	+0.1	195/280/338	143	251	17	5	28%	9%	73	-0.3
●Aristides Aquino 2017 · A	23	41	50→65	50	37	214/253/372	158	273	17	9	29%	4%	73	-0.6	206/250/374	168	269	21	8	31%	5%	72	-0.7	218/281/448	230	271	34	9	33%	7%	100	+0.8
✕Tyler Kolodny 2011 · A	23	40→37	49→45	51→50	40	207/277/361	153	275	17	9	30%	6%	80	-0.2	209/284/321	112	285	10	10	29%	6%	74	-0.6	205/290/288	83	271	7	10	25%	6%	66	-0.5
✕Matthew Lugo 2024 · AA	23	46→50	45→55	50	38	225/269/349	124	300	11	12	29%	5%	73	-0.6	224/277/381	157	309	16	15	32%	6%	84	+0.1	219/277/384	165	302	17	15	32%	6%	81	-0.1
✕Mike Antico 2022 · A	24	43	49→45	55→60	41	219/272/369	150	281	16	13	28%	6%	79	-0.2	209/274/329	120	280	12	36	28%	7%	71	-0.8	215/279/331	115	289	12	35	28%	7%	70	-0.7
✕Zach Kokoska 2023 · A	24	42	48→55	56→55	41	215/277/355	140	278	15	16	28%	6%	78	-0.3	198/266/359	161	275	20	17	34%	6%	76	-0.4	173/245/335	163	243	21	19	37%	6%	60	-0.9
✕Luis Santana 2022 · AA	23	40	43→45	47→50	40	202/261/310	108	272	11	10	29%	6%	61	-1.5	216/274/340	124	275	14	9	26%	6%	74	-0.6	207/266/326	119	257	14	7	25%	5%	64	-0.8
✕Brooks Baldwin 2024 · A	23	41→51	47→50	53→50	42	209/266/337	128	277	15	15	30%	7%	70	-0.9	246/296/387	141	308	16	15	25%	6%	92	+0.7	258/307/403	145	316	17	16	23%	6%	98	+0.9

Damian Bravo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps