Javier Francisco

Javier FranciscoSS ACL Giants

Age 23 R/R 6'1" / 162 lbs ROK BB -3% Svc 0.0 · Ctrl thru 2037 peak 1.0 · 2029

wRC+†62

AVG/OBP/SLG.205 / .272 / .310

PA140

HR2

K%30

BB%7

MLB%0%

trajectory · 10 yrs

1.0peak

2029

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	Ext / FA-deal	$0.9M	+0.7	$3M	+$2M
2033	Ext / FA-deal	$1.0M	+0.6	$3M	+$2M
2034	Ext / FA-deal	$1.0M	+0.3	$2M	+$0.5M
2035	Ext / FA-deal	$3M	—	—	—
2036	Ext / FA-deal	$0.4M	—	—	—
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$7M		$3M	-$3M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

Career Projections (MLE)

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	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
2021	18	ROK	DSL Giants Black	106	93	13	2	2	1	5	24	6	1	0	.140	.231	.237	.467	.097	.171	23	5	.212	20	-10	+0	+0	+1	+3	-0.5
2022	19	ROK	ACL Giants Black	130	115	15	4	1	1	10	53	2	0	1	.130	.213	.209	.421	.078	.222	41	8	.190	4	-14	-0	+0	+1	+4	-1.0
2023	20	ROK	2 teams	189	161	29	9	0	3	22	52	3	2	2	.180	.290	.292	.582	.112	.239	28	12	.264	60	-9	-0	+0	+2	+5	-0.2
2024	21	A	2 teams	154	138	20	6	1	0	10	59	4	2	1	.145	.224	.203	.427	.058	.247	38	6	.200	11	-15	+0	+0	+2	+4	-1.0
2025	22	ROK	ACL Giants	54	50	7	1	0	1	2	22	2	0	0	.140	.204	.220	.424	.080	.222	41	4	.170	-12	-7	+0	+0	+1	+2	-0.5
▸ 2026 Season
2026	23	MLB	SF	140	127	26	5	1	2	10	42	2	2	1	.205	.273	.307	.580	.102	.286	30	7	.266	62	-6	+0	+0	+2	+4	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	SF	318	286	62	12	2	7	25	92	4	5	1	.217	.289	.346	.635	.129	.289	29	8	.281	73	-10	+1	+0	+3	+9	0.3
2028	25	MLB 25%	SF	376	339	74	14	2	9	30	107	4	6	1	.218	.290	.351	.641	.133	.290	28	8	.290	80	-8	+1	+0	+4	+11	0.7
2029	26	MLB 42%	SF	411	369	82	16	2	10	34	115	5	7	2	.222	.297	.358	.654	.136	.291	28	8	.295	84	-7	+1	+0	+4	+12	1.0
2030	27	MLB 58%	SF	421	378	84	16	2	11	35	118	5	7	1	.222	.297	.362	.659	.140	.292	28	8	.296	85	-7	+1	+0	+5	+12	1.0
2031	28	MLB 68%	SF	426	382	85	16	2	11	36	120	5	6	1	.223	.298	.361	.659	.139	.291	28	8	.295	84	-8	+1	-1	+5	+12	0.9
2032	29	MLB 77%	SF	420	376	83	16	2	10	36	120	5	5	1	.221	.297	.354	.651	.133	.290	29	9	.293	82	-8	+1	-1	+4	+12	0.7
2033	30	MLB 84%	SF	414	371	80	15	2	10	35	119	5	4	0	.216	.292	.348	.640	.132	.289	29	8	.290	80	-9	+1	-2	+4	+12	0.6
2034	31	MLB	SF	401	360	76	14	2	9	34	117	4	2	0	.211	.286	.336	.623	.125	.287	29	8	.286	77	-10	+0	-3	+4	+11	0.3
2035	32	MLB	SF	383	344	74	14	2	9	32	114	4	0	0	.215	.289	.346	.635	.131	.286	30	8	.281	74	-11	+0	-4	+4	+11	0.0
2036	33	MLB	SF	354	317	66	12	2	8	30	108	4	0	0	.208	.285	.334	.619	.126	.284	31	8	.276	69	-12	+0	-4	+4	+10	-0.3
2037	34	MLB	SF	310	278	55	10	1	6	26	97	3	0	0	.198	.274	.306	.579	.108	.282	31	8	.270	65	-12	+0	-5	+3	+9	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5007	4484	931	182	26	108	412	1479	67	49	12	.208	.284	.332	.616	.124	.281	30	8	.278	71	-165	+5	-20	+54	+142	1.6
/ 162G	—			650	582	121	24	3	14	53	192	9	6	2	.208	.284	.332	.616	.124	.282	30	8	.278	71	-21	+0	-3	+7	+18	0.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	95	-1	+0	—	—	+3	0.3
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	84	-2	-0	—	—	+4	0.1
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	80	-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	187	+15	-0	—	—	+4	2.0
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	94	-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	.093	.262	26	9	.263	60	-6	+0	—	—	+4	-0.2
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	64	-2	+0	—	—	+2	-0.1

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
Javier Francisco (OGILVIE)	23	—	—	—	—	.205/.272/.310	.105	.286	2	2	30%	7%	62	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Vázquez 2023 · AAA	23	42→46	42→50	46→45	38	.209/.255/.311	.102	.286	10	11	30%	5%	53	-1.5	.226/.285/.358	.132	.298	15	9	28%	6%	79	+0.3	.230/.295/.366	.136	.298	17	8	27%	6%	82	+0.3
✕Luis Santana 2022 · AA	23	40	42→45	47→50	40	.200/.259/.300	.100	.270	10	10	29%	6%	53	-1.5	.216/.274/.342	.126	.277	14	9	26%	6%	70	-0.3	.207/.266/.330	.122	.258	15	7	25%	5%	61	-0.6
✕Drew Robinson 2015 · AAA	23	38→41	44→55	48→50	42	.188/.261/.307	.119	.286	11	9	36%	8%	56	-1.3	.195/.271/.352	.157	.280	18	12	35%	9%	72	-0.2	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Andre Lipcius 2022 · AA	24	43→50	44→50	48→45	46	.215/.274/.331	.116	.276	11	7	26%	8%	67	-0.5	.231/.302/.363	.132	.287	14	8	23%	9%	87	+0.8	.231/.303/.365	.135	.286	16	7	24%	9%	86	+0.7
✕Jacob Amaya 2022 · AA	23	40→45	43→45	46→45	47	.201/.269/.310	.110	.259	11	5	26%	8%	59	-1.1	.212/.281/.334	.122	.273	14	6	26%	8%	71	-0.3	.209/.281/.325	.116	.268	12	6	26%	9%	66	-0.5
✕Blake Hunt 2022 · AA	23	36	43→50	49→40	40	.184/.244/.291	.107	.270	10	4	35%	7%	44	-2.1	.200/.256/.326	.126	.277	13	4	32%	6%	59	-1.1	.206/.268/.347	.141	.262	15	2	27%	6%	67	-0.3
✕Ivan Jimenez 2016 · AAA	23	45	41→40	46→55	39	.219/.262/.314	.095	.300	9	10	29%	5%	56	-1.3	.245/.294/.332	.087	.318	6	15	23%	6%	75	-0.0	.272/.336/.356	.084	.346	2	18	20%	7%	93	+0.5
✕Ethan Murray 2023 · AA	23	38→48	41→40	51→50	43	.188/.257/.286	.099	.271	8	13	32%	8%	49	-1.8	.198/.270/.294	.096	.294	7	12	32%	8%	56	-1.3	.194/.271/.287	.093	.286	7	13	32%	8%	52	-1.0
✕Mark Mathias 2018 · AA	23	45→46	39→50	52→50	42	.213/.278/.307	.095	.298	6	9	29%	6%	63	-0.8	.219/.288/.341	.122	.285	10	11	25%	7%	76	+0.1	.243/.319/.380	.137	.317	15	17	26%	9%	97	+0.9
✕Eloy Gutierrez 2009 · AAA	24	39→49	43→45	51→50	40	.195/.252/.307	.112	.282	10	11	33%	6%	52	-1.6	.243/.302/.341	.098	.334	8	12	27%	7%	80	+0.4	.247/.308/.326	.079	.342	6	13	27%	8%	75	+0.0
✕Andrew Navigato 2022 · AA	24	41→40	44→60	46→50	44	.202/.279/.318	.116	.282	12	12	31%	8%	67	-0.5	.221/.280/.382	.161	.276	19	14	27%	6%	84	+0.6	.220/.279/.406	.186	.266	23	17	26%	6%	87	+0.6
●Royce Lewis 2022 · AA	23	40→49	41→60	49→50	38	.199/.246/.298	.099	.280	8	14	31%	5%	46	-2.0	.263/.322/.460	.197	.315	25	17	24%	7%	121	+3.2	.261/.323/.483	.222	.300	31	14	24%	8%	123	+1.6
✕Ryan Khoury 2007 · AAA	23	46→49	42→45	52→45	41	.224/.272/.325	.101	.298	9	12	28%	6%	64	-0.8	.235/.303/.349	.114	.307	10	6	25%	8%	85	+0.7	.225/.303/.327	.102	.302	7	3	26%	9%	76	+0.1
✕Adan Velazquez 2012 · AAA	22	42→52	40→45	49→50	39	.202/.258/.299	.098	.284	7	9	30%	5%	52	-1.6	.234/.276/.330	.096	.298	8	8	23%	5%	66	-0.6	.246/.284/.346	.100	.296	10	4	20%	4%	72	-0.2
✕Jake Rucker 2023 · AAA	23	43→41	41→45	48→45	45	.206/.283/.314	.108	.285	8	12	29%	8%	67	-0.5	.204/.265/.308	.104	.272	9	9	27%	6%	58	-1.2	.197/.254/.297	.100	.249	10	8	24%	6%	47	-1.4
✕Óscar Hernández 2016 · MLB	23	42	43→55	43→40	39	.211/.254/.323	.113	.276	10	5	27%	5%	56	-1.3	.195/.244/.316	.121	.250	13	5	27%	5%	50	-1.7	.164/.214/.271	.107	.209	12	1	28%	5%	24	-1.2
✕Daz Cameron 2020 · AAA	23	41→45	45→55	52→55	42	.202/.273/.332	.129	.285	12	17	32%	7%	67	-0.5	.207/.273/.337	.130	.293	12	18	32%	7%	69	-0.4	.220/.291/.388	.168	.274	20	25	27%	8%	88	+0.6
✕Colton Welker 2022 · MLB	24	41→51	45	47→45	43	.206/.259/.324	.118	.259	12	5	26%	6%	59	-1.1	.221/.303/.325	.104	.295	10	7	26%	9%	79	+0.3	.202/.322/.231	.029	.286	0	6	25%	13%	62	-0.3
✕Isan Díaz 2019 · AAA	23	39→40	46→55	48→45	43	.198/.269/.330	.132	.286	14	10	34%	8%	66	-0.6	.209/.280/.354	.145	.285	17	7	31%	8%	76	+0.1	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)