Randy Soto

C DSL Blue Jays Blue

Age 20 S/R 5'10" / 160 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#989ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKTOR	194	.269/.490/.351	0	1	80	—	.190/.380/.245
2025	18	ROKDSL Blue Jays…	213	.196/.363/.256	0	2	23	—	.127/.255/.166
2026	19	ROKDSL Blue Jays…	106	.169/.349/.241	1	0	15	—	.101/.245/.124
2027PROJMLE	20	MLBTOR	216	.197/.287/.267	1	2	61	0.0
2028PROJ34% MLB	21	MLBTOR	38	.204/.294/.288	0	0	68	0.0
2029PROJ48% MLB	22	MLBTOR	96	.209/.298/.304	1	1	73	0.1

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

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Chase%99

Whiff%89

Z-Con%86

K%68

BB%68

ISO26

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsTerry Serrano (age 19) · Miguel Arrendell (age 20) · Enderson Delgado (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†61

AVG/OBP/SLG.195 / .285 / .265

PA56

HR0

K%24

BB%10

ISO70

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Tools · ContractCON 30 / POW 20

Toolsscout grade

CONTACT30

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$4M	+$2M

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 Blue Jays	—	194	134	36	11	0	0	44	26	14	1	2	269	490	351	840	82	327	13	23	401	80	—	—	—	—	—	—
2025	18	ROK	DSL Blue Jays Red	—	213	168	33	8	1	0	40	33	4	2	0	196	363	256	619	60	243	15	19	303	23	—	—	—	—	—	—
2026	19	ROK	DSL Blue Jays Blue	—	106	83	14	3	0	1	19	19	4	0	0	169	349	241	590	72	206	18	18	294	15	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Blue Jays	—	194	147	28	8	0	0	31	33	14	1	2	190	380	245	625	54	222	17	16	287	80	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	213	181	23	5	1	0	27	41	4	2	0	127	255	166	420	39	156	19	13	202	23	—	—	—	—	—	—
2026	19	ROK MLE	DSL Blue Jays Blue	—	106	89	9	2	0	0	13	23	4	0	0	101	245	124	369	22	129	22	12	190	15	—	—	—	—	—	—
2024	17	ROK MLE	DSL Blue Jays	—	194	147	28	8	0	0	31	33	14	1	2	190	380	245	625	54	241	17	16	287	80	—	—	—	—	—	—
2024	17	ROK RAW	DSL Blue Jays	—	194	134	36	11	0	0	44	26	14	1	2	269	490	351	840	82	327	13	23	401	80	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	213	181	23	5	1	0	27	41	4	2	0	127	255	166	420	39	163	19	13	202	23	—	—	—	—	—	—
2025	18	ROK RAW	DSL Blue Jays Red	—	213	168	33	8	1	0	40	33	4	2	0	196	363	256	619	60	243	15	19	303	23	—	—	—	—	—	—
2026	19	ROK MLE	DSL Blue Jays Blue	—	106	89	9	2	0	0	13	23	4	0	0	101	245	124	369	22	136	22	12	190	15	—	—	—	—	—	—
2026	19	ROK RAW	DSL Blue Jays Blue	—	106	83	14	3	0	1	19	19	4	0	0	169	349	241	590	72	206	18	18	294	15	—	—	—	—	—	—
2024	17	ROK MLE	DSL Blue Jays	—	194	147	28	8	0	0	31	33	14	1	2	190	380	245	625	54	222	17	16	287	80	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	213	180	23	5	1	0	27	41	4	2	0	128	255	167	421	39	156	19	13	202	23	—	—	—	—	—	—
2026	19	ROK MLE	DSL Blue Jays Blue	—	106	88	9	2	0	0	13	23	4	0	0	102	245	125	370	23	129	22	12	190	15	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Blue Jays	—	194	147	28	8	0	0	31	33	14	1	2	190	380	245	625	54	222	17	16	287	80	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	213	180	23	5	1	0	27	41	4	2	0	128	255	167	421	39	156	19	13	202	23	—	—	—	—	—	—
2026	19	ROK MLE	DSL Blue Jays Blue	—	106	88	9	2	0	0	13	23	4	0	0	102	245	125	370	23	129	22	12	190	15	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TOR	0%	216	189	37	7	1	1	21	52	4	2	1	197	287	267	555	70	262	24	10	259	61	-10	+0	+0	+4	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TOR	34%	110	97	20	4	1	1	10	26	2	1	1	203	293	287	580	84	265	24	9	268	68	-4	-0	+0	+2	+2	-0.0
2029	22	MLB MLE	TOR	48%	199	175	36	7	1	2	19	47	3	3	1	208	297	303	600	95	267	24	10	276	73	-6	+0	+0	+4	+4	0.2
2030	23	MLB MLE	TOR	54%	295	260	55	10	2	4	28	70	5	4	2	212	300	315	615	103	269	24	9	282	77	-8	+0	+0	+5	+6	0.4
2031	24	MLB MLE	TOR	55%	371	327	70	13	2	6	35	87	6	5	2	215	303	324	627	109	271	23	9	286	80	-9	+0	+0	+7	+8	0.6
2032	25	MLB MLE	TOR	56%	414	366	79	15	2	7	39	97	6	5	2	217	304	331	635	114	273	23	9	289	82	-9	+0	+0	+7	+9	0.8
2033	26	MLB MLE	TOR	60%	439	388	84	16	2	8	41	103	7	6	3	217	304	332	636	115	272	23	9	290	82	-9	+0	+0	+8	+10	0.8
2034	27	MLB MLE	TOR	62%	445	393	85	16	2	8	42	105	7	6	3	216	303	329	632	113	272	24	9	288	81	-10	+0	+0	+8	+10	0.8
2035	28	MLB MLE	TOR	63%	445	393	84	16	2	8	42	106	7	5	3	214	301	325	626	110	271	24	9	285	79	-11	-0	-1	+8	+10	0.6
2036	29	MLB MLE	TOR	64%	441	391	82	15	2	7	41	106	6	4	3	212	298	318	616	106	269	24	9	282	77	-12	-0	-1	+8	+10	0.4
2037	30	MLB MLE	TOR	65%	432	383	80	15	2	7	40	105	6	4	4	209	294	310	605	101	267	24	9	277	74	-14	-1	-2	+8	+9	0.1
2028	21	MLB CTX	TOR	34%	38	33	6	1	0	0	4	9	1	0	0	204	294	288	582	85	266	24	11	269	68	-1	+0	+0	+1	+1	0.0
2029	22	MLB CTX	TOR	48%	96	85	18	3	1	1	9	23	2	1	1	209	298	304	602	95	268	24	9	277	73	-3	-0	+0	+2	+2	0.1
2030	23	MLB CTX	TOR	54%	160	141	30	6	1	2	15	38	3	2	1	213	301	316	617	103	271	24	9	282	77	-4	+0	+0	+3	+3	0.2
2031	24	MLB CTX	TOR	55%	206	182	38	7	1	3	19	48	3	3	1	216	303	326	629	110	273	23	9	287	80	-5	+0	+0	+4	+4	0.3
2032	25	MLB CTX	TOR	56%	232	204	44	8	1	4	22	54	4	3	1	218	305	332	637	114	274	23	9	290	82	-5	+0	+0	+4	+5	0.4
2033	26	MLB CTX	TOR	60%	264	233	51	9	2	5	25	62	4	3	2	218	305	333	638	115	273	23	9	290	82	-6	-0	+0	+5	+6	0.5
2034	27	MLB CTX	TOR	62%	276	244	54	10	2	5	26	65	4	3	2	217	304	331	634	113	273	24	9	289	81	-6	-0	+0	+5	+6	0.5
2035	28	MLB CTX	TOR	63%	281	248	54	10	2	5	27	67	4	3	2	215	302	326	627	110	272	24	10	286	79	-7	-0	-0	+5	+6	0.4
2036	29	MLB CTX	TOR	64%	281	249	53	10	1	5	26	68	4	3	2	213	299	319	618	107	270	24	9	282	77	-8	-0	-1	+5	+6	0.2
2037	30	MLB CTX	TOR	65%	281	249	52	10	1	4	26	68	4	2	2	209	295	311	606	102	268	24	9	278	74	-9	-0	-1	+5	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2115	1868	400	74	12	34	199	502	33	23	14	214	301	321	622	107	273	24	9	285	74	-54	-1	-3	+38	+46	2.6
/ 162G	—	A+C		—	650	574	123	23	4	10	61	154	10	7	4	214	300	321	621	106	274	24	9	285	74	-17	-0	-1	+12	+14	0.8
Career	—	MLE		—	4160	3640	744	144	19	58	413	963	78	47	26	204	299	302	601	98	260	23	10	277	74	-95	-1	-4	+65	+79	4.5
/ 162G	—	MLE		—	650	569	116	22	3	9	65	150	12	7	4	204	299	301	599	97	259	23	10	277	74	-17	-0	-1	+12	+14	0.8

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 DSLDSL Blue Jays Blue · 106 PAwOBA .288 → .190 (−98)K% 17.9% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.92%	÷1.000	×1.220	—	—	21.87%
BB% (unintentional) /PA	17.92%	÷1.000	×0.700	—	×0.985	12.36%
HBP% /PA	3.77%	—	×0.700	—	×0.985	2.60%
Singles /BIP	15.62%	÷1.000	×0.680	×0.964	×0.985	10.09%
Doubles /BIP	4.69%	÷1.000	×0.600	×0.964	×0.985	2.67%
Triples /BIP	0.00%	÷1.000	×0.600	×0.964	×0.985	0.00%
Home runs /BIP	1.56%	÷1.000	×0.470	—	×0.985	0.72%

Factors used: level-wide DSL 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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .288 → .190; ISO .072 → .039; BABIP .206 → .129. 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 DSLDSL Blue Jays Red · 213 PAwOBA .296 → .202 (−94)K% 15.5% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.49%	÷0.980	×1.220	—	—	19.30%
BB% (unintentional) /PA	18.31%	÷0.994	×0.700	—	×0.995	12.83%
HBP% /PA	1.88%	—	×0.700	—	×0.995	1.31%
Singles /BIP	17.78%	÷1.002	×0.680	×0.975	×0.995	11.71%
Doubles /BIP	5.93%	÷0.970	×0.600	×0.975	×0.995	3.56%
Triples /BIP	0.74%	÷1.017	×0.600	×0.975	×0.995	0.42%
Home runs /BIP	0.00%	÷0.957	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 103, K 96, BB 99 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .296 → .202; ISO .060 → .037; BABIP .243 → .156. 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 Blue Jays · 194 PAwOBA .397 → .287 (−110)K% 13.4% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.40%	÷0.973	×1.220	—	—	16.81%
BB% (unintentional) /PA	22.68%	÷1.015	×0.700	—	×1.008	15.76%
HBP% /PA	7.22%	—	×0.700	—	×1.008	5.09%
Singles /BIP	23.15%	÷0.958	×0.680	×0.984	×1.008	16.29%
Doubles /BIP	10.19%	÷0.964	×0.600	×0.984	×1.008	6.28%
Triples /BIP	0.00%	÷0.900	×0.600	×0.984	×1.008	0.00%
Home runs /BIP	0.00%	÷0.892	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 92, 2B 93, 3B 80, K 95, BB 103 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .397 → .287; ISO .082 → .057; BABIP .327 → .222. 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
#1Jacob 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
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Fred 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	3.3	2,169	35	25	214	298	322	+39	+28	4.2	4.0
/162	664	11	8	+11.9	+8.6	1.3	pk7: 4
#5Ben 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
#6Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
/162	664	11	0	+11.4	-0.0	0.8	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
Randy Soto (OGILVIE)	20	30	20	40	60	195/285/265	70	262	0	1	24%	10%	61	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Terry Serrano 2006 · A	19	39	34→30	42→55	46	182/253/237	55	265	2	9	30%	9%	42	-2.9	176/253/229	53	236	2	15	24%	9%	40	-3.1	181/264/235	54	253	2	17	26%	10%	44	-1.1
✕Miguel Arrendell 2008 · A	20	37	35→30	39→50	51	172/251/226	54	210	3	5	19%	8%	39	-3.1	193/291/255	62	249	3	12	21%	11%	61	-1.5	201/272/282	81	263	7	9	25%	8%	56	-0.7
✕Enderson Delgado 2024 · A	19	32	38→45	44→30	42	160/240/231	71	233	6	5	32%	7%	36	-3.3	187/268/277	90	268	8	4	31%	7%	57	-1.8	177/262/262	85	246	8	2	29%	7%	51	-0.7
✕Varonex Cuevas 2012 · A	20	36	34→30	45→50	50	169/249/220	52	230	2	9	26%	9%	37	-3.3	186/252/241	55	242	2	12	22%	8%	42	-2.9	170/244/212	42	215	1	15	20%	8%	31	-1.4
✕Julian Morillo 2012 · A	20	40	34→30	45→50	48	184/254/235	51	240	1	8	22%	8%	42	-2.9	210/256/288	78	280	4	7	25%	5%	53	-2.1	239/259/323	84	296	4	4	20%	1%	59	-0.4
✕Rey Bruguera 2012 · A	20	38	35→30	44→50	52	181/271/239	58	244	3	13	25%	10%	50	-2.3	191/260/259	68	265	4	10	27%	8%	49	-2.4	181/245/242	61	253	4	8	28%	7%	37	-1.0
✕Raul Rivas 2017 · A	20	40	34→30	41→50	45	187/241/233	46	230	2	8	19%	6%	35	-3.4	220/260/271	51	298	2	9	25%	4%	51	-2.3	222/262/271	50	304	1	10	26%	4%	49	-1.2
✕Raudelis Martinez 2022 · A	20	35	37→30	44→45	46	169/234/235	66	215	5	7	23%	7%	34	-3.5	180/260/257	77	220	6	8	20%	8%	49	-2.4	171/242/235	64	204	6	6	19%	8%	37	-1.6
✕Franklin Tineo 2015 · A	20	36	35→40	42→50	44	171/242/229	57	249	2	8	30%	8%	36	-3.4	167/248/235	68	217	4	9	23%	9%	40	-3.0	144/237/212	69	178	5	11	21%	9%	30	-1.2
✕Rony Peralta 2010 · A	19	38	34→30	42→45	48	178/250/228	50	236	1	6	24%	8%	38	-3.2	191/245/255	64	273	2	6	29%	6%	42	-2.9	199/248/271	72	259	0	6	22%	5%	45	-0.6
✕Gilberto Vizcarra 2019 · A	20	34	37→45	47→40	47	164/238/229	66	203	5	3	22%	7%	35	-3.4	205/261/282	77	259	5	4	22%	6%	55	-2.0	227/269/318	92	274	7	1	19%	4%	65	-0.4
✕Javier Santana 2008 · A	21	34	33→30	38→45	52	160/268/200	40	246	2	7	32%	12%	41	-3.0	181/250/232	51	282	2	7	34%	7%	40	-3.1	173/223/209	36	292	2	7	39%	4%	20	-1.4
✕Fidel Mejia 2018 · A	19	42	34→30	45→40	43	199/251/253	54	264	1	9	24%	6%	44	-2.8	213/260/281	68	296	4	4	28%	6%	53	-2.1	216/260/277	61	299	4	2	28%	5%	49	-0.9
✕Juan Mosquera 2007 · A	19	37	35→30	49→55	47	176/246/232	56	244	2	15	27%	8%	38	-3.2	191/286/234	43	258	1	14	23%	11%	55	-2.0	192/299/217	25	248	0	17	20%	12%	55	-0.6
✕Luis Ravelo 2024 · A	20	37→34	37→30	42→45	41	178/245/246	69	280	6	6	36%	8%	40	-3.0	186/246/259	73	290	6	4	35%	7%	44	-2.8	170/230/228	59	257	5	1	34%	6%	29	-1.6
✕Michael De La Cruz 2016 · A	20	40	36→40	45→50	46	190/261/259	69	270	4	9	29%	8%	50	-2.3	191/256/256	65	306	3	10	35%	7%	47	-2.6	156/231/187	31	268	0	14	38%	8%	19	-1.5
✕Carlos Ramirez 2008 · A	19	40	35→30	41→45	50	184/256/245	61	229	1	5	19%	8%	45	-2.7	204/269/267	63	247	2	6	17%	7%	54	-2.0	201/268/256	55	242	1	5	16%	7%	50	-0.8
✕Jose Herrera 2013 · A	20	38	34→30	42→40	47	174/246/227	53	216	2	5	19%	7%	37	-3.3	190/259/243	53	242	2	4	21%	7%	45	-2.7	180/253/218	38	228	1	2	20%	7%	36	-1.1
✕Luis Sanchez 2008 · A	21	37	36→30	45→40	45	179/256/239	60	261	4	7	31%	8%	44	-2.8	203/263/257	54	283	2	4	27%	7%	49	-2.4	198/256/242	45	274	1	2	26%	7%	41	-1.4
✕Bealyn Chourio 2014 · A	20	33	34→30	45	52	159/248/210	52	221	1	8	27%	10%	35	-3.4	179/254/248	69	288	3	7	35%	9%	45	-2.7	160/235/227	67	272	3	5	39%	9%	30	-0.9

Randy Soto

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps