Javier Francisco

Javier FranciscoSS ACL Giants

Age 23 R/R 6'1" / 162 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 140 proj PA

wRC+†69

AVG/OBP/SLG.211 / .276 / .317

PA11

HR0

K%28

BB%7

ISO107

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$9M ctrl surplus

Tools · Contract

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
2026	MiLB	still in minors · estimated debut 2032
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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
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		$0.9M		$0.7M	+$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)
2021	18	ROK	DSL Giants Black	—	106	85	16	3	2	2	13	18	6	1	0	188	337	341	678	153	209	17	12	310	96	-1	+0	—	—	+2	0.2
2022	19	ROK	ACL Giants Black	—	130	110	23	5	2	2	15	37	2	0	1	209	315	345	660	136	288	28	12	296	86	-2	-0	—	—	+3	0.0
2023	20	A	San Jose Giants	—	33	29	7	3	0	0	3	8	0	0	0	241	312	345	657	103	318	24	9	290	82	-1	+0	—	—	+1	0.0
2023	20	ROK	ACL Giants Orange	—	156	118	33	10	0	7	33	30	3	2	2	280	448	542	990	263	313	19	21	430	177	+14	-0	—	—	+3	1.8
2024	21	AAA	Sacramento River Cats	—	17	17	5	0	1	0	0	6	0	0	0	294	294	412	706	118	455	35	0	308	95	-0	+0	—	—	+0	0.0
2024	21	A	San Jose Giants	—	137	118	22	9	1	0	13	36	4	2	1	186	289	280	569	93	262	26	9	263	64	-6	+0	—	—	+3	-0.3
2025	22	ROK	ACL Giants	—	54	49	10	2	0	1	3	16	2	0	0	204	278	306	584	102	281	30	6	269	68	-2	+0	—	—	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Giants Black	—	106	91	12	2	1	2	7	26	6	1	0	132	240	242	482	110	156	25	7	216	32	-9	+0	—	—	+2	-0.6
2022	19	ROK MLE	ACL Giants Black	—	130	116	14	3	1	1	9	53	2	0	1	121	197	190	387	69	207	41	7	191	15	-13	-0	—	—	+3	-1.1
2023	20	A MLE	San Jose Giants	—	33	30	5	2	0	0	2	11	0	0	0	167	219	233	452	67	268	33	6	222	36	-2	+0	—	—	+1	-0.2
2023	20	ROK MLE	ACL Giants Orange	—	156	131	24	7	0	4	20	42	3	2	2	183	305	328	633	145	223	27	13	284	78	-4	-0	—	—	+3	-0.1
2024	21	AAA MLE	Sacramento River Cats	—	17	17	4	0	1	0	0	7	0	0	0	235	235	353	588	118	403	41	0	232	43	-1	+0	—	—	+0	-0.1
2024	21	A MLE	San Jose Giants	—	137	121	17	6	1	0	10	50	4	2	1	140	230	207	436	66	224	36	7	197	19	-13	+0	—	—	+3	-1.0
2025	22	ROK MLE	ACL Giants	—	54	50	7	1	0	1	2	22	2	0	0	140	204	220	424	80	215	41	4	171	2	-6	+0	—	—	+1	-0.5
2021	18	ROK MLE	DSL Giants Black	—	106	91	12	2	1	2	7	26	6	1	0	132	240	242	482	110	154	25	7	216	32	—	—	—	—	—	—
2021	18	ROK RAW	DSL Giants Black	—	106	85	16	3	2	2	13	18	6	1	0	188	337	341	678	153	209	17	12	310	32	—	—	—	—	—	—
2022	19	ROK MLE	ACL Giants Black	—	130	116	14	3	1	1	9	53	2	0	1	121	197	190	387	69	203	41	7	191	15	—	—	—	—	—	—
2022	19	ROK RAW	ACL Giants Black	—	130	110	23	5	2	2	15	37	2	0	1	209	315	345	660	136	288	28	12	296	15	—	—	—	—	—	—
2023	20	ROK MLE	2 teams	—	189	161	30	9	0	4	22	53	3	2	2	186	296	317	612	130	243	28	12	273	71	—	—	—	—	—	—
2023	20	ROK RAW	2 teams	—	189	147	40	13	0	7	36	38	3	2	2	272	425	503	928	231	314	20	19	406	71	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	154	138	20	6	1	0	10	58	4	2	1	145	224	203	427	58	244	38	6	201	22	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	154	135	27	9	2	0	13	42	4	2	1	200	289	296	586	96	284	27	8	268	22	—	—	—	—	—	—
2025	22	ROK MLE	ACL Giants	—	54	50	7	1	0	1	2	22	2	0	0	140	204	220	424	80	222	41	4	171	2	—	—	—	—	—	—
2025	22	ROK RAW	ACL Giants	—	54	49	10	2	0	1	3	16	2	0	0	204	278	306	584	102	281	30	6	269	2	—	—	—	—	—	—
2021	18	ROK MLE	DSL Giants Black	—	106	92	12	2	1	2	7	26	6	1	0	130	240	239	480	109	156	25	7	216	32	—	—	—	—	—	—
2022	19	ROK MLE	ACL Giants Black	—	130	118	14	3	1	1	9	53	2	0	1	119	197	186	383	68	207	41	7	191	15	—	—	—	—	—	—
2023	20	ROK MLE	2 teams	—	189	162	30	9	0	4	22	53	3	2	2	185	296	315	611	130	231	28	12	273	71	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	154	139	20	6	1	0	10	58	4	2	1	144	224	201	425	58	244	38	6	201	22	—	—	—	—	—	—
2025	22	ROK MLE	ACL Giants	—	54	50	7	1	0	1	2	22	2	0	0	140	204	220	424	80	215	41	4	171	2	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	2 teams	—	189	162	30	9	0	4	22	53	3	2	2	185	296	315	611	130	231	28	12	273	71	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	154	139	20	6	1	0	10	58	4	2	1	144	224	201	425	58	244	38	6	201	22	—	—	—	—	—	—
2025	22	ROK MLE	ACL Giants	—	54	50	7	1	0	1	2	22	2	0	0	140	204	220	424	80	215	41	4	171	2	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	SF	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		285	27	9	270	69	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SF	30%	318	288	63	12	2	6	23	86	4	5	1	219	286	337	623	118	286	27	7	280	76	-9	+1	+0	+3	+7	0.2
2028	25	MLB MLE	SF	44%	376	341	76	15	2	8	28	100	4	6	2	223	290	349	639	126	287	27	7	287	81	-9	+0	+0	+4	+8	0.4
2029	26	MLB MLE	SF	51%	411	372	82	16	2	9	31	108	5	6	2	220	289	347	636	126	288	26	8	291	83	-8	+0	+0	+4	+9	0.6
2030	27	MLB MLE	SF	52%	421	381	86	17	2	10	32	111	5	6	2	226	294	360	654	134	288	26	8	292	84	-8	+0	+0	+5	+9	0.6
2031	28	MLB MLE	SF	53%	426	385	86	17	2	10	33	113	5	6	2	223	293	356	649	132	287	27	8	291	83	-8	+0	-1	+5	+9	0.5
2032	29	MLB MLE	SF	53%	420	379	83	16	2	9	33	112	5	5	2	219	290	343	633	124	287	27	8	290	82	-9	+0	-1	+4	+9	0.4
2033	30	MLB MLE	SF	52%	414	374	82	16	2	9	32	111	5	5	1	219	290	345	634	126	286	27	8	287	80	-10	+1	-2	+4	+9	0.2
2034	31	MLB MLE	SF	56%	401	362	78	15	2	8	31	109	5	4	1	215	286	334	621	119	284	27	8	283	78	-11	+0	-3	+4	+9	0.0
2027	24	MLB CTX	SF	30%	96	88	20	4	1	2	7	26	1	1	0	227	292	364	655	136	281	27	7	266	76	-3	+0	+0	+1	+2	0.1
2028	25	MLB CTX	SF	44%	166	151	32	6	1	3	12	44	2	2	1	212	279	325	603	113	282	27	7	272	81	-4	+0	+0	+2	+4	0.2
2029	26	MLB CTX	SF	51%	208	188	41	8	1	4	16	55	2	3	1	218	286	335	622	117	282	26	8	276	83	-4	+0	+0	+2	+5	0.3
2030	27	MLB CTX	SF	52%	221	199	43	8	1	5	17	58	3	3	1	216	288	342	629	126	282	26	8	277	84	-4	+0	+0	+2	+5	0.3
2031	28	MLB CTX	SF	53%	227	204	45	9	1	5	18	60	3	3	1	221	293	348	641	127	282	26	8	276	83	-4	+0	-0	+2	+5	0.3
2032	29	MLB CTX	SF	53%	221	199	43	8	1	5	17	59	3	3	1	216	288	342	629	126	281	27	8	275	82	-5	+0	-1	+2	+5	0.2
2033	30	MLB CTX	SF	52%	216	195	41	8	1	4	17	58	2	3	1	210	280	323	603	113	280	27	8	272	80	-5	+0	-1	+2	+5	0.1
2034	31	MLB CTX	SF	56%	225	202	42	8	1	4	18	61	3	2	1	208	283	317	599	109	278	27	8	269	78	-6	+0	-2	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1580	1426	307	59	8	32	122	421	19	20	7	215	286	335	621	120	281	27	8	273	74	-35	+1	-4	+17	+34	1.4
/ 162G	—	A+C		—	650	587	126	24	3	13	50	173	8	8	3	215	285	332	617	118	280	27	8	273	74	-14	+0	-2	+7	+14	0.6
Career	—	MLE		—	3831	3448	720	145	19	77	294	1065	55	48	17	209	282	329	610	120	276	28	8	277	74	-72	+3	-7	+34	+69	2.9
/ 162G	—	MLE		—	650	585	122	25	3	13	50	181	9	8	3	209	281	328	609	120	276	28	8	277	74	-15	+1	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon 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
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.6	1,719	37	23	222	288	350	+18	+15	2.7	2.6
/162	664	14	9	+7.1	+5.8	1.0	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Javier Francisco (OGILVIE)	23	—	—	—	—	211/276/317	106	285	2	2	28%	7%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Santana 2022 · AA	23	40	43→45	47→50	40	201/259/308	107	270	11	10	29%	6%	60	-1.6	217/276/340	123	279	13	9	26%	6%	74	-0.5	208/269/326	118	262	13	7	25%	5%	65	-0.7
✕Luis Vázquez 2023 · AAA	23	42→46	41→45	45→50	39	209/255/305	96	283	9	11	29%	5%	57	-1.8	226/286/347	121	297	13	9	27%	6%	79	-0.2	227/293/349	122	296	14	8	27%	6%	79	-0.1
✕Jake Rucker 2023 · AAA	23	42→43	42→45	48→45	44	204/281/312	109	285	8	12	30%	8%	70	-0.9	208/266/309	101	272	9	9	25%	6%	63	-1.4	210/274/329	118	244	13	9	20%	7%	68	-0.6
✕Jacob Amaya 2022 · AA	23	40→45	43→45	48→45	46	200/265/306	106	257	11	6	26%	8%	62	-1.4	212/281/326	114	273	12	7	25%	8%	73	-0.6	207/280/316	108	268	11	6	26%	9%	68	-0.9
✕Drew Robinson 2015 · AAA	23	38→42	43→55	49→50	42	187/259/305	117	285	10	9	36%	8%	60	-1.6	199/274/355	156	282	17	12	33%	9%	77	-0.3	208/288/362	155	321	16	12	38%	10%	81	-0.0
✕Andrew Navigato 2022 · AA	24	41→40	44→55	46→50	44	203/280/318	115	282	11	13	30%	8%	71	-0.8	217/276/370	153	271	17	14	26%	6%	81	-0.1	214/273/383	169	262	19	17	26%	6%	81	-0.1
✕Óscar Hernández 2017 · MLB	24	39	44→50	48→40	41	199/249/316	117	251	12	6	26%	6%	58	-1.7	186/237/292	106	241	11	5	27%	5%	48	-2.5	162/212/257	95	207	10	1	27%	5%	28	-1.3
✕Yu Chang 2019 · AAA	23	40→44	47→50	47→45	39	203/263/339	136	284	14	7	33%	6%	69	-0.9	216/272/354	138	293	14	7	30%	6%	76	-0.4	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Chase Strumpf 2022 · AA	24	42→37	43→50	48→45	46	203/285/317	113	292	10	7	32%	9%	72	-0.7	194/293/340	146	311	17	5	39%	10%	82	-0.0	178/283/325	147	289	18	3	41%	11%	72	-0.5
✕Andre Lipcius 2022 · AA	24	43→49	44→45	48→45	46	214/273/331	117	273	11	7	25%	8%	70	-0.8	230/300/357	127	286	13	8	23%	9%	86	+0.3	229/301/358	129	284	15	7	24%	9%	85	+0.2
✕Isan Díaz 2019 · AAA	23	40→41	46→55	50→45	43	199/269/329	130	288	13	10	34%	8%	70	-0.9	212/283/357	145	286	16	6	30%	8%	81	-0.1	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Mark Mathias 2019 · AA	24	43→46	42→50	52→50	46	210/285/321	111	276	8	10	26%	8%	73	-0.6	224/286/345	121	284	10	13	24%	7%	79	-0.2	238/314/366	128	312	14	17	27%	9%	92	+0.4
✕Jake Rogers 2019 · AA	24	37→40	46→55	48→45	41	194/258/325	131	264	14	9	32%	7%	64	-1.3	204/278/363	159	283	19	5	33%	8%	81	-0.1	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Alika Williams 2023 · AAA	24	43→44	41→45	43→45	44	212/271/307	95	272	9	7	25%	7%	64	-1.3	223/279/323	100	286	9	7	24%	6%	70	-0.8	238/286/342	104	298	8	5	22%	5%	74	-0.3
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Matthew Sweeney 2011 · AA	23	42→40	44→50	48→45	41	205/265/320	115	290	11	4	32%	7%	65	-1.2	186/248/292	106	267	9	4	32%	7%	53	-2.1	153/220/256	104	215	9	1	32%	7%	31	-1.3
✕Tim Tawa 2023 · AA	24	42→44	45→55	49→50	46	211/275/328	117	264	14	12	25%	8%	70	-0.8	213/275/347	134	274	15	11	27%	7%	76	-0.4	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Daz Cameron 2020 · AAA	23	40→45	44→50	52→55	42	198/271/320	122	284	10	17	33%	7%	68	-1.0	206/272/329	123	293	11	18	32%	7%	70	-0.8	225/296/393	168	284	19	27	27%	8%	91	+0.3
✕Bryan Holaday 2012 · AA	24	42	41→45	48→40	41	205/261/298	93	274	8	7	28%	6%	58	-1.7	216/265/299	83	272	6	5	22%	5%	59	-1.6	220/288/344	124	255	13	2	19%	7%	76	-0.1
✕Blake Hunt 2023 · AA	24	38	42→45	50→40	39	192/251/296	104	277	10	5	33%	6%	55	-2.0	208/265/332	124	274	13	5	28%	6%	68	-1.0	208/275/351	144	265	17	1	28%	7%	74	-0.2

Career Stats + Projections

Career Comps

Career Path Comps