Francisco Espinoza

C Ontario Tower Buzzers

Age 20 R/R 6'1" / 206 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#715ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL LAD Mega	77	.232/.434/.268	0	0	57	—	.164/.329/.180
2025	18	ROKLAD	140	.350/.443/.467	1	0	96	—	.276/.343/.354
2026	19	A/ROKLAD	190	.317/.415/.422	3	1	96	—	.268/.346/.341
2027PROJMLE	20	MLBLAD	300	.222/.294/.313	4	4	73	0.2
2028PROJ34% MLB	21	MLBLAD	56	.222/.295/.320	1	1	78	0.1
2029PROJ48% MLB	22	MLBLAD	128	.225/.299/.331	2	2	82	0.2

Next 3 projected WAR 0.5Projected 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

K%75

Chase%57

wOBA46

wRC+44

Whiff%43

BB%42

Career WAR0.0 WAR median (P10 -0.0 / P90 5.8, comp-based) · star 2% · didn't stick 86%

CompsLuis Caicuto (age 20) · Nacho Alvarez Jr. (age 21) · Wilfredo Rodriguez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 110 proj PA

wRC+†73

AVG/OBP/SLG.220 / .292 / .310

PA110

HR1

K%25

BB%8

ISO91

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Tools · ContractCON 53 / POW 39

Toolsscout grade

CONTACT53

scouting grade only

POWER39

scouting grade only

EYE56

scouting grade only

SPEED48

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	+0.7	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Arb-1	$2M	+0.5	$1M	+$0.1M
2036	Arb-2	$3M	+0.4	$0.8M	+$0.0M (cut)
2037	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$5M		$7M	+$4M

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. Catcher framing: only 2027 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 1-3 WAR low.

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	57	—	—	—	—	—	—
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	96	—	—	—	—	—	—
2026	19	A	Ontario Tower Buzzers	—	133	115	34	4	0	0	15	26	2	0	1	296	386	330	717	35	378	20	11	332	84	—	—	—	—	—	—
2026	19	ROK	ACL Dodgers	—	57	46	17	4	0	3	9	12	1	1	0	370	482	652	1.134	283	438	21	16	481	124	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Mega	—	77	61	10	1	0	0	10	13	5	0	0	164	329	180	509	16	199	17	13	252	57	—	—	—	—	—	—
2025	18	ROK MLE	ACL Dodgers	—	140	127	35	3	2	1	12	25	1	0	1	276	343	354	697	79	339	18	9	310	96	—	—	—	—	—	—
2026	19	A MLE	Ontario Tower Buzzers	—	133	119	32	3	0	0	11	35	2	0	1	269	341	294	635	25	377	26	8	292	84	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	57	49	13	3	0	2	6	17	1	1	0	265	357	449	806	184	342	30	11	352	124	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Mega	—	77	61	10	1	0	0	10	13	5	0	0	164	329	180	509	16	204	17	13	252	57	—	—	—	—	—	—
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	57	—	—	—	—	—	—
2025	18	ROK MLE	ACL Dodgers	—	140	127	35	3	2	1	12	25	1	0	1	276	343	354	697	79	337	18	9	310	96	—	—	—	—	—	—
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	96	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	190	169	45	6	0	2	16	53	3	1	1	266	340	337	678	71	371	28	8	310	96	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	190	161	51	8	0	3	24	38	3	1	1	317	415	422	837	106	393	20	13	377	96	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Mega	—	77	62	10	1	0	0	10	13	5	0	0	161	329	177	506	16	199	17	13	252	57	—	—	—	—	—	—
2025	18	ROK MLE	ACL Dodgers	—	140	126	35	3	2	1	12	25	1	0	1	278	343	357	700	79	339	18	9	310	96	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	190	169	45	6	0	2	16	53	3	1	1	266	340	337	678	71	366	28	8	310	96	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL LAD Mega	—	77	62	10	1	0	0	10	13	5	0	0	161	329	177	506	16	199	17	13	252	57	—	—	—	—	—	—
2025	18	ROK MLE	ACL Dodgers	—	140	126	35	3	2	1	12	25	1	0	1	278	343	357	700	79	339	18	9	310	96	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	190	169	45	6	0	2	16	53	3	1	1	266	340	337	678	71	366	28	8	310	96	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAD	0%	300	270	61	10	2	4	24	76	3	4	1	222	294	313	607	91	292	25	8	276	73	-10	+0	+0	+5	+6	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAD	34%	164	148	33	6	1	2	13	41	2	3	1	226	299	327	626	100	293	25	8	284	78	-4	+0	+0	+3	+4	0.3
2029	22	MLB MLE	LAD	48%	265	238	54	9	2	4	22	65	3	5	2	229	303	337	640	108	293	25	8	290	82	-6	+0	+0	+5	+6	0.5
2030	23	MLB MLE	LAD	54%	355	318	74	12	2	7	30	86	4	6	2	232	305	346	651	114	294	24	8	294	85	-6	+0	+0	+6	+8	0.8
2031	24	MLB MLE	LAD	55%	413	370	87	15	2	8	35	99	5	7	3	234	307	352	659	118	295	24	8	297	87	-6	+0	+0	+7	+9	1.0
2032	25	MLB MLE	LAD	56%	445	400	94	16	3	9	37	106	5	8	3	235	308	355	664	121	295	24	8	299	88	-6	+0	+0	+8	+10	1.2
2033	26	MLB MLE	LAD	56%	445	400	94	16	3	9	37	106	5	8	3	234	308	355	663	120	294	24	8	299	88	-6	+0	+0	+8	+10	1.2
2034	27	MLB MLE	LAD	55%	445	399	94	16	3	9	38	107	5	8	3	233	307	352	659	119	294	24	9	297	87	-7	+0	+0	+8	+10	1.1
2035	28	MLB MLE	LAD	55%	445	400	93	16	2	9	37	108	5	7	3	231	305	347	652	116	293	24	8	294	85	-8	+0	-1	+8	+10	1.0
2036	29	MLB MLE	LAD	53%	445	400	91	15	2	8	37	109	5	6	3	229	302	341	643	112	291	24	8	291	83	-9	+0	-1	+8	+10	0.7
2037	30	MLB MLE	LAD	53%	445	400	90	15	2	8	37	111	5	6	3	226	299	333	632	107	290	25	8	286	80	-11	+0	-2	+8	+10	0.5
2038	31	MLB MLE	LAD	52%	409	368	82	13	2	7	34	103	4	4	5	222	294	323	617	101	286	25	8	280	76	-12	-1	-3	+7	+9	0.0
2039	32	MLB MLE	LAD	56%	370	334	73	12	2	6	30	95	3	3	9	216	288	311	598	94	283	26	8	272	70	-13	-3	-4	+7	+8	-0.5
2028	21	MLB CTX	LAD	34%	56	50	11	2	0	1	5	14	1	1	0	222	295	320	616	98	286	25	9	280	78	-1	+0	+0	+1	+1	0.1
2029	22	MLB CTX	LAD	48%	128	115	26	4	1	2	11	31	1	2	1	225	299	331	631	106	287	24	9	286	82	-3	+0	+0	+2	+3	0.2
2030	23	MLB CTX	LAD	54%	193	173	39	6	1	4	16	47	2	3	1	228	302	340	642	112	288	24	8	290	85	-3	+0	+0	+3	+4	0.4
2031	24	MLB CTX	LAD	55%	229	205	48	8	1	5	19	55	3	4	1	230	304	346	650	116	288	24	8	293	87	-3	+0	+0	+4	+5	0.6
2032	25	MLB CTX	LAD	56%	249	223	51	8	1	5	21	60	3	4	2	231	305	350	655	119	288	24	8	295	88	-3	+0	+0	+4	+5	0.7
2033	26	MLB CTX	LAD	56%	250	224	51	8	1	5	21	60	3	4	2	230	305	349	654	119	288	24	8	295	88	-3	+0	+0	+4	+5	0.7
2034	27	MLB CTX	LAD	55%	246	220	50	8	1	5	21	59	3	4	2	229	304	347	650	117	287	24	9	294	87	-4	+0	+0	+4	+5	0.6
2035	28	MLB CTX	LAD	55%	244	218	50	8	1	5	21	59	3	4	2	228	302	342	643	114	286	24	9	291	85	-4	+0	-0	+4	+5	0.5
2036	29	MLB CTX	LAD	53%	238	213	49	8	1	5	20	58	3	3	2	225	299	336	634	111	285	24	8	287	83	-5	-0	-1	+4	+5	0.4
2037	30	MLB CTX	LAD	53%	234	211	46	7	1	4	19	58	2	3	2	222	295	328	623	106	283	25	8	283	80	-6	-0	-1	+4	+5	0.2
2038	31	MLB CTX	LAD	52%	213	192	43	7	1	4	17	54	2	2	2	218	290	318	608	100	280	25	8	277	76	-6	-0	-1	+4	+5	0.0
2039	32	MLB CTX	LAD	56%	208	187	40	6	1	3	17	53	2	2	5	213	284	306	590	93	277	25	8	269	70	-7	-2	-2	+4	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2488	2231	504	80	11	48	208	608	28	36	22	226	300	336	636	110	288	24	8	287	83	-50	-2	-6	+44	+54	4.2
/ 162G	—	A+C		—	650	583	132	21	3	13	54	159	7	9	6	226	300	340	639	113	287	24	8	287	83	-13	-0	-1	+12	+14	1.1
Career	—	MLE		—	5163	4631	1071	175	29	90	434	1255	61	74	43	231	306	340	645	109	296	24	8	291	83	-97	-2	-10	+85	+103	8.0
/ 162G	—	MLE		—	650	583	135	22	4	11	55	158	8	9	5	232	307	340	646	108	297	24	8	291	83	-13	-0	-1	+12	+14	1.1

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 AOntario Tower Buzzers · 133 PAwOBA .327 → .292 (−35)K% 19.5% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.55%	÷1.000	×1.360	—	—	26.59%
BB% (unintentional) /PA	11.28%	÷1.000	×0.690	—	×1.045	8.13%
HBP% /PA	1.50%	—	×0.780	—	×1.045	1.23%
Singles /BIP	33.71%	÷1.000	×0.920	×1.050	×1.045	34.03%
Doubles /BIP	4.49%	÷1.000	×0.830	×1.050	×1.045	4.09%
Triples /BIP	0.00%	÷1.000	×0.910	×1.050	×1.045	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	0.00%

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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .327 → .292; ISO .035 → .030; BABIP .378 → .377. 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 ROKACL Dodgers · 57 PAwOBA .477 → .352 (−125)K% 21.1% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.000	×1.440	—	—	30.32%
BB% (unintentional) /PA	15.79%	÷1.000	×0.620	—	×1.008	9.86%
HBP% /PA	1.75%	—	×0.720	—	×1.008	1.27%
Singles /BIP	29.41%	÷1.000	×0.820	—	×1.008	24.30%
Doubles /BIP	11.76%	÷1.000	×0.720	—	×1.008	8.53%
Triples /BIP	0.00%	÷1.000	×0.720	—	×1.008	0.00%
Home runs /BIP	8.82%	÷1.000	×0.780	—	×1.008	6.93%

Factors used: level-wide ROK 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .477 → .352; ISO .283 → .213; BABIP .438 → .342. 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 ROKACL Dodgers · 140 PAwOBA .399 → .310 (−89)K% 12.1% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.14%	÷0.993	×1.440	—	—	17.61%
BB% (unintentional) /PA	13.57%	÷0.997	×0.620	—	×1.022	8.63%
HBP% /PA	0.71%	—	×0.720	—	×1.022	0.53%
Singles /BIP	32.04%	÷0.996	×0.820	×1.044	×1.022	28.18%
Doubles /BIP	4.85%	÷1.102	×0.720	×1.044	×1.022	3.39%
Triples /BIP	2.91%	÷1.060	×0.720	×1.044	×1.022	2.11%
Home runs /BIP	0.97%	÷1.187	×0.780	—	×1.022	0.65%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 99, 2B 120, 3B 112, K 99, BB 99 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.

Result: wOBA .399 → .310; ISO .117 → .082; BABIP .402 → .339. 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).

2024 DSLDSL LAD Mega · 77 PAwOBA .344 → .252 (−92)K% 14.3% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.994	×1.220	—	—	17.53%
BB% (unintentional) /PA	19.48%	÷1.030	×0.700	—	×1.022	13.53%
HBP% /PA	6.49%	—	×0.700	—	×1.022	4.65%
Singles /BIP	24.44%	÷0.988	×0.680	×1.010	×1.022	17.38%
Doubles /BIP	4.44%	÷0.953	×0.600	×1.010	×1.022	2.89%
Triples /BIP	0.00%	÷1.079	×0.600	×1.010	×1.022	0.00%
Home runs /BIP	0.00%	÷1.095	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 98, 2B 91, 3B 116, K 99, BB 106 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .344 → .252; ISO .036 → .026; BABIP .283 → .199. 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
#1Tucker 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
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.9	2,599	47	39	230	300	342	+46	+28	6.4	5.8
/162	664	12	10	+11.9	+7.2	1.6	pk7: 5
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4

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)	20	48→53	34→39	43→48	56	220/292/310	90	292	1	2	25%	8%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Caicuto 2023 · A	20	51	38→45	46→50	46	241/301/323	82	302	5	7	21%	6%	78	-0.3	211/281/274	63	283	2	5	24%	7%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Nacho Alvarez Jr. 2024 · A	21	51→54	40	50	50	241/318/332	91	306	7	13	22%	9%	88	+0.4	240/315/330	90	307	8	14	22%	8%	86	+0.3	238/317/323	85	303	7	15	22%	8%	83	+0.1
✕Wilfredo Rodriguez 2014 · A	20	48	39→40	47→50	44	231/276/323	91	287	5	5	21%	6%	69	-0.9	235/273/310	75	276	5	6	16%	4%	64	-1.3	240/274/305	65	276	5	5	15%	4%	63	-0.7
✕James Triantos 2023 · A	20	50→59	42→45	53→60	43	241/287/350	109	301	9	12	23%	5%	80	-0.2	253/301/351	98	299	7	24	17%	5%	84	+0.2	270/312/373	104	312	8	35	15%	5%	91	+0.6
✕Jacob Amaya 2019 · A	20	49→47	39→45	48→45	52	232/310/319	87	306	7	11	25%	10%	82	-0.0	216/290/316	100	284	8	6	25%	9%	74	-0.6	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Luis Santana 2019 · A	20	52	39→45	50	52	244/318/335	91	274	6	10	13%	7%	88	+0.5	225/293/315	90	280	7	8	21%	7%	74	-0.5	214/269/345	131	274	15	8	27%	5%	69	-0.5
✕Leo Bernal 2024 · A	20	45→50	42→45	47→50	49	220/293/323	103	283	9	5	25%	9%	76	-0.4	231/296/349	118	296	13	8	25%	8%	83	+0.1	235/299/362	127	292	15	9	24%	8%	85	+0.2
✕Aidan Miller 2024 · A	20	49→50	38→50	52→65	47	228/303/310	83	316	4	12	27%	8%	77	-0.3	227/310/359	132	312	11	28	28%	9%	91	+0.7	224/315/364	140	306	12	36	28%	10%	91	+0.5
✕Cam Maron 2011 · A	20	47→57	40	50→40	47	226/291/320	94	287	8	6	23%	8%	74	-0.5	244/314/326	82	314	5	4	22%	8%	84	+0.2	245/318/319	74	316	4	2	22%	9%	82	-0.0
✕Sam McMillan 2019 · A	20	48	41→30	47→45	49	228/316/330	102	281	8	6	21%	8%	88	+0.4	213/315/286	73	292	4	7	26%	10%	78	-0.3	207/330/269	62	273	4	7	22%	12%	77	-0.2
✕Jeferson Quero 2023 · A	20	47	44→50	49→45	43	230/281/347	117	293	11	9	25%	6%	77	-0.3	232/290/369	137	282	16	7	23%	7%	86	+0.3	222/285/355	133	266	16	4	23%	7%	79	-0.1
✕Yeiner Fernandez 2023 · A	20	52→53	41→40	43→45	46	251/312/352	101	307	9	4	21%	6%	90	+0.6	237/302/319	82	282	6	5	17%	7%	78	-0.3	233/299/299	66	274	4	5	16%	7%	71	-0.6
✕Blaze Alexander 2019 · A	20	48→50	43→50	52→50	43	227/289/346	119	322	8	10	30%	7%	80	-0.2	205/274/309	104	307	9	11	34%	7%	66	-1.1	246/324/371	124	344	12	15	29%	8%	98	+0.8
✕Gavin Cecchini 2015 · A	21	44→54	41→45	48→45	46	213/270/318	105	266	7	7	22%	7%	65	-1.2	256/307/355	99	303	7	5	17%	7%	88	+0.4	265/315/356	91	309	6	4	16%	6%	87	+0.3
✕Shawn Zarraga 2009 · A	20	48	40	51→45	49	227/308/323	96	307	7	7	26%	9%	82	+0.0	224/297/299	75	308	5	6	26%	8%	72	-0.7	277/345/359	82	319	4	2	13%	7%	103	+0.5
✕Juan Fernandez 2018 · A	19	47→57	41→40	48→50	48	226/294/329	103	270	7	6	19%	7%	78	-0.3	206/264/285	79	270	5	4	24%	6%	57	-1.8	239/301/321	82	296	8	9	21%	6%	75	-0.3

Francisco Espinoza

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps