Francisco Espinoza

Francisco EspinozaC Ontario Tower Buzzers

Age 19 R/R 6'1" / 206 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION190 act + 19 ros · stats below = ROS only

showingROS

wRC+†81

AVG/OBP/SLG.235 / .316 / .294

PA19

HR0

K%26

BB%11

BABIP309

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$71M ctrl surplus

Tools · ContractCON 54 / POW 38

Toolsscout grade

CONTACT54

scouting grade only

POWER38

scouting grade only

EYE58

scouting grade only

SPEED48

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+1.5	$8M	+$8M
2032	Pre-Arb	$0.9M	+1.4	$7M	+$7M
2033	Pre-Arb	$1.0M	+1.5	$7M	+$7M
2034	Arb-1	$5M	+1.5	$7M	+$4M
2035	Arb-2	$8M	+1.4	$6M	+$3M
2036	Arb-3	$10M	+1.2	$4M	+$0.9M
Totals		$26M		$39M	+$29M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2024	17	ROK	DSL LAD Mega	—	77	56	13	2	0	0	15	11	5	0	0	232	434	268	702	36	283	14	19	346	120	+2	+0	—	—	+2	0.4
2025	18	ROK	ACL Dodgers	—	140	120	42	5	3	1	19	17	1	0	1	350	443	467	910	117	402	12	14	409	163	+10	-0	—	—	+3	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Mega	—	77	62	12	2	0	0	9	16	5	0	0	194	342	226	568	32	234	21	12	258	61	-4	+0	—	—	+2	-0.2
2025	18	ROK MLE	ACL Dodgers	—	140	127	34	3	2	1	12	25	1	0	1	268	336	346	682	79	331	18	9	303	91	-1	-0	—	—	+3	0.1
2024	17	ROK MLE	DSL LAD Mega	—	77	62	12	2	0	0	9	16	5	0	0	194	342	226	568	32	255	21	12	258	61	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Mega	—	77	56	13	2	0	0	15	11	5	0	0	232	434	268	702	36	283	14	19	346	61	—	—	—	—	—	—
2025	18	ROK MLE	ACL Dodgers	—	140	127	34	3	2	1	12	25	1	0	1	268	336	346	682	79	327	18	9	303	91	—	—	—	—	—	—
2025	18	ROK RAW	ACL Dodgers	—	140	120	42	5	3	1	19	17	1	0	1	350	443	467	910	117	402	12	14	409	91	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Mega	—	77	63	12	2	0	0	9	16	5	0	0	190	342	222	564	32	234	21	12	258	61	—	—	—	—	—	—
2025	18	ROK MLE	ACL Dodgers	—	140	126	34	3	2	1	12	25	1	0	1	270	336	349	685	79	331	18	9	303	91	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL LAD Mega	—	77	63	12	2	0	0	9	16	5	0	0	190	342	222	564	32	234	21	12	258	61	—	—	—	—	—	—
2025	18	ROK MLE	ACL Dodgers	—	140	126	34	3	2	1	12	25	1	0	1	270	336	349	685	79	331	18	9	303	91	—	—	—	—	—	—
YTD	19	A MLE	LAD	—	190	169	44	6	0	2	16	52	3	1	1	260	335	331	666	71	359	27	8	301	90	-2	-0	+0	+3	+4	0.5
▸ 2026 season
YTD	19	ROK RAW	LAD	—	57	46	17	4	0	3	9	12	1	1	0	370	482	652	1.134	283	438	21	16	481	90	—	—	—	—	—	—
YTD	19	A RAW	LAD	—	133	115	34	4	0	0	15	26	2	0	1	296	386	330	717	35	378	20	11	332	90	—	—	—	—	—	—
ROS	19	A MLE	LAD	0%	19	17	4	1	0	0	2	5	0	0	0	235	316	294	610	59	313	26	11	288	81	-0	+0	+0	+0	+0	0.0
TOT	19	A MLE	LAD	—	209	186	48	7	0	2	18	57	3	1	1	258	333	328	661	70	357	27	9	300	89	-3	-0	+0	+4	+5	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	LAD	43%	267	239	57	9	1	4	23	67	3	4	1	238	313	335	648	96	313	25	9	299	88	-4	+0	+0	+5	+6	0.7
2028	21	MLB MLE	LAD	61%	384	343	84	14	2	7	33	95	5	6	2	245	320	359	679	114	312	25	9	305	93	-3	+0	+0	+7	+8	1.2
2029	22	MLB MLE	LAD	68%	465	416	102	17	2	9	40	113	6	8	3	245	320	361	681	115	312	24	9	309	95	-3	+0	+0	+8	+10	1.7
2030	23	MLB MLE	LAD	71%	518	461	114	19	2	11	45	124	7	9	3	247	324	369	692	121	312	24	9	312	97	-2	+1	+0	+9	+11	2.0
2031	24	MLB MLE	LAD	71%	520	463	115	19	2	11	45	124	7	9	3	248	324	369	694	121	313	24	9	314	99	-1	+1	+0	+9	+11	2.1
2032	25	MLB MLE	LAD	71%	520	462	115	19	2	11	46	124	7	9	4	249	326	370	696	121	313	24	9	315	99	-1	+0	+0	+9	+11	2.1
2033	26	MLB MLE	LAD	71%	520	462	114	19	2	11	46	124	7	9	4	247	324	368	692	121	313	24	9	315	99	-0	+0	+0	+9	+11	2.1
2034	27	MLB MLE	LAD	69%	520	462	114	19	2	11	46	124	7	9	4	247	324	368	692	121	313	24	9	315	99	-0	+0	+0	+9	+11	2.1
2035	28	MLB MLE	LAD	69%	520	461	114	19	2	11	47	125	7	9	3	247	326	369	695	121	312	24	9	314	99	-1	+1	-1	+9	+11	2.0
2036	29	MLB MLE	LAD	67%	520	461	113	18	2	11	47	126	7	9	3	245	324	364	689	119	312	24	9	312	97	-2	+1	-1	+9	+11	1.8
2037	30	MLB MLE	LAD	66%	520	461	112	18	2	11	47	127	7	8	3	243	322	362	685	119	310	24	9	309	95	-3	+0	-2	+9	+11	1.6
2038	31	MLB MLE	LAD	65%	504	446	107	17	2	10	46	125	7	8	3	240	321	354	675	114	308	25	9	305	93	-4	+0	-3	+9	+11	1.3
2039	32	MLB MLE	LAD	65%	489	436	102	16	2	9	44	123	6	7	3	234	313	342	655	108	305	25	9	300	89	-6	+0	-4	+9	+11	1.0
2040	33	MLB MLE	LAD	70%	451	401	93	14	2	8	41	116	6	6	2	232	312	337	649	105	301	26	9	293	84	-8	+0	-4	+8	+10	0.6
2041	34	MLB MLE	LAD	66%	396	353	79	11	1	7	35	104	5	5	2	224	303	320	623	96	296	26	9	285	79	-10	+0	-5	+7	+9	0.1
2027	20	MLB CTX	LAD	43%	115	103	24	4	0	2	10	29	1	2	1	233	307	330	637	97	309	25	9	287	88	-2	+0	+0	+2	+2	0.3
2028	21	MLB CTX	LAD	61%	234	209	51	8	1	5	20	58	3	4	1	244	319	364	683	120	308	25	9	293	93	-2	+0	+0	+4	+5	0.8
2029	22	MLB CTX	LAD	68%	317	283	69	11	1	7	27	77	4	5	2	244	318	364	682	120	308	24	9	298	95	-2	+0	+0	+6	+7	1.1
2030	23	MLB CTX	LAD	71%	368	328	80	13	1	8	32	88	5	6	2	244	321	363	683	119	308	24	9	300	97	-1	+0	+0	+7	+8	1.4
2031	24	MLB CTX	LAD	71%	369	329	81	13	2	8	32	88	5	6	2	246	322	371	693	125	309	24	9	302	99	-1	+0	+0	+7	+8	1.5
2032	25	MLB CTX	LAD	71%	369	329	81	13	2	8	32	88	5	6	3	246	322	371	693	125	309	24	9	303	99	-0	+0	+0	+7	+8	1.4
2033	26	MLB CTX	LAD	71%	369	329	80	13	1	8	32	88	5	7	3	243	320	362	681	119	309	24	9	303	99	-0	+0	+0	+7	+8	1.5
2034	27	MLB CTX	LAD	69%	361	321	79	13	1	8	32	86	5	6	2	246	324	368	692	121	308	24	9	303	99	-0	+0	+0	+6	+8	1.5
2035	28	MLB CTX	LAD	69%	358	318	78	13	1	8	32	86	5	6	2	245	324	368	692	123	308	24	9	302	99	-1	+0	-0	+6	+8	1.4
2036	29	MLB CTX	LAD	67%	348	308	75	12	1	8	32	84	5	6	2	244	325	367	692	123	307	24	9	301	97	-1	+0	-1	+6	+8	1.2
2037	30	MLB CTX	LAD	66%	342	303	73	12	1	7	31	84	5	6	2	241	322	356	678	116	306	25	9	298	95	-2	+0	-1	+6	+7	1.1
2038	31	MLB CTX	LAD	65%	328	291	69	11	1	7	30	81	4	5	2	237	317	354	671	117	304	25	9	294	93	-3	+0	-2	+6	+7	0.9
2039	32	MLB CTX	LAD	65%	317	281	65	10	1	6	29	80	4	5	2	231	312	338	650	107	301	25	9	288	89	-4	+0	-2	+6	+7	0.6
2040	33	MLB CTX	LAD	70%	317	281	65	10	1	6	29	82	4	4	2	231	312	338	650	107	297	26	9	282	84	-6	+0	-3	+6	+7	0.4
2041	34	MLB CTX	LAD	66%	260	232	51	7	1	4	23	69	3	3	1	220	298	310	609	91	292	27	9	274	79	-7	+0	-3	+5	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4772	4245	1021	163	16	100	423	1168	63	77	29	241	319	357	676	117	307	24	9	296	94	-31	+4	-13	+85	+103	15.1
/ 162G	—	A+C		—	650	578	139	22	2	14	58	159	9	10	4	240	320	358	678	118	306	24	9	296	94	-4	+1	-2	+12	+14	2.1
Career	—	MLE		—	7350	6533	1585	254	30	143	654	1787	100	115	44	243	321	356	677	114	311	24	9	307	94	-48	+6	-20	+127	+155	22.4
/ 162G	—	MLE		—	650	578	140	22	3	13	58	158	9	10	4	242	321	358	679	116	310	24	9	307	94	-4	+1	-2	+12	+14	2.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#2Jordy Mercerlast yr '21 career totals — 9 seasons, 3,394 PA	5.1	3,394	66	13	257	315	387	+35	+50	17.0	16.7
/162	664	13	3	+6.9	+9.8	3.3	pk7: 17
#3Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#4John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	7.4	4,923	99	80	244	318	361	+88	+44	19.1	15.4
/162	664	13	11	+11.9	+5.9	2.6	pk7: 12
#5Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#6Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12

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
Francisco Espinoza (OGILVIE)	19	49→54	33→38	43→48	58	233/306/319	86	313	2	2	26%	8%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jesus Rodriguez 2021 · A	19	46→55	42→45	49→50	46	224/285/337	113	288	9	9	25%	8%	76	-0.4	235/301/339	104	297	6	12	21%	8%	82	+0.0	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Andy Paz 2012 · A	19	50	36→40	44→45	50	231/310/298	67	290	3	8	20%	8%	77	-0.3	208/273/281	73	275	4	5	24%	8%	59	-1.7	214/269/283	68	275	5	4	23%	7%	54	-0.5
✕Jose Paez 2013 · A	19	49	40→45	51→50	43	233/286/331	98	308	6	13	25%	6%	74	-0.5	210/256/293	83	314	4	11	32%	5%	55	-2.0	178/220/246	68	283	3	12	36%	4%	26	-1.1
✕Luis Santana 2018 · A	19	52	39→45	54→50	50	243/311/343	100	274	5	11	13%	7%	87	+0.4	246/316/336	90	288	6	9	16%	7%	88	+0.4	234/303/348	114	293	12	10	23%	6%	83	+0.0
●Miguel Vargas 2019 · A	19	50→52	39→55	52→50	45	238/294/331	93	306	5	8	23%	7%	78	-0.3	246/298/362	116	303	10	8	21%	6%	86	+0.3	224/326/406	183	249	21	12	19%	12%	105	+1.6
●Jackson Holliday 2023 · A	19	50→60	41→50	49→50	58	237/329/342	104	299	8	10	22%	12%	94	+0.9	248/333/382	134	332	12	14	26%	11%	104	+1.6	244/329/380	136	317	13	15	25%	11%	100	+1.3
✕Juan Fernandez 2018 · A	19	48→57	41→40	48→50	47	230/294/335	105	278	8	6	20%	7%	80	-0.2	203/260/280	77	266	5	4	24%	6%	53	-2.1	237/297/317	80	293	7	9	21%	6%	73	-0.4
✕Luis Alvarez 2009 · A	19	47	43→45	44→45	48	231/306/343	112	272	11	5	19%	7%	86	+0.3	224/289/325	101	280	9	6	22%	6%	76	-0.4	212/264/322	110	252	12	1	21%	4%	62	-0.3
●J.P. Crawford 2014 · A	19	50→58	37→45	50	49	234/297/309	75	303	3	13	23%	8%	74	-0.6	243/310/336	93	291	7	13	18%	9%	85	+0.2	261/353/385	124	305	11	2	17%	11%	110	+2.2
✕Blaze Alexander 2019 · A	20	48	42→45	52→50	43	226/288/345	119	321	8	10	30%	7%	79	-0.2	202/270/304	102	302	9	11	34%	7%	63	-1.3	239/319/362	123	339	12	15	30%	8%	93	+0.6
✕Jesus Morelli 2009 · A	19	49	42→45	48→50	49	234/311/346	112	300	9	12	24%	8%	88	+0.5	220/282/290	70	304	4	10	27%	6%	64	-1.3	219/279/260	41	287	0	14	22%	6%	53	-0.5
✕Ronarsy Ledesma 2013 · A	20	50	40→45	51→50	44	234/303/337	103	302	5	13	23%	6%	83	+0.1	213/264/311	98	288	6	9	27%	5%	62	-1.4	195/238/286	91	273	8	8	31%	4%	44	-0.9
●Moisés Ballesteros 2022 · A	18	45→55	40→50	50→40	52	216/294/311	95	269	7	8	22%	9%	74	-0.5	225/287/355	130	281	15	4	24%	8%	81	-0.1	255/314/382	127	304	14	3	20%	7%	96	+0.9
✕Daniel Robertson 2013 · A	19	45→54	46→45	52→40	49	225/297/363	139	266	12	6	20%	8%	87	+0.4	237/302/348	111	297	9	3	22%	7%	85	+0.2	232/336/343	111	304	11	4	25%	11%	96	+0.6
✕Nacho Alvarez Jr. 2023 · A	20	50→52	39→40	54→50	56	234/323/325	91	290	6	14	20%	11%	88	+0.4	239/315/327	88	307	7	14	23%	8%	86	+0.3	239/316/323	84	307	7	14	23%	8%	82	+0.0
✕Osleivis Basabe 2019 · A	18	51→61	38→45	49→50	48	238/291/324	86	288	3	12	18%	7%	74	-0.5	234/279/310	76	290	3	12	19%	5%	66	-1.1	270/316/373	102	329	4	17	18%	5%	92	+0.5
●Adael Amador 2022 · A	19	45→54	41→50	45→55	48	220/284/320	100	275	8	11	23%	8%	72	-0.7	239/315/371	132	277	15	17	19%	9%	96	+1.0	231/310/363	132	264	16	23	19%	9%	89	+0.4
✕Chance Sisco 2014 · A	19	53→63	38→45	47→40	46	245/315/324	79	338	5	6	27%	8%	84	+0.2	270/322/358	88	348	6	4	22%	7%	94	+0.9	281/334/370	89	357	6	3	22%	7%	99	+0.9
✕Luisangel Acuña 2021 · A	19	49→55	38→45	51→60	51	232/298/315	83	281	5	13	18%	8%	76	-0.4	230/288/333	103	317	10	30	29%	7%	76	-0.4	238/295/340	102	321	10	39	28%	7%	77	-0.3
✕Shawn Zarraga 2009 · A	20	48	40	51→45	49	226/308/322	96	306	7	7	26%	9%	82	-0.0	222/294/296	74	305	5	6	26%	7%	71	-0.8	277/346/357	80	319	4	2	13%	7%	103	+0.5

Career Stats + Projections

Career Comps

Career Path Comps