Jonnhan Sanchez

OF DSL Mets Orange

Age 20 L/L 6'0" / 160 lbs ROK H -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1867ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Mets Blue	22	.053/.143/.158	0	1	-49	—	.050/.095/.150
2025	18	ROKDSL Mets Blue	67	.259/.385/.370	1	6	42	—	.158/.262/.193
2026	19	ROKDSL Mets Oran…	196	.309/.462/.447	3	15	67	—	.185/.323/.253
2027PROJMLE	20	MLBNYM	306	.224/.303/.313	3	7	77	0.0
2028PROJ34% MLB	21	MLBNYM	52	.220/.301/.315	1	1	81	-0.0
2029PROJ48% MLB	22	MLBNYM	120	.223/.303/.324	2	3	84	-0.0

Next 3 projected WAR -0.0Projected 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

Z-Con%89

wOBA87

Chase%87

wRC+84

Whiff%83

K%73

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 99%

CompsAlberto Rodriguez (age 20) · Jean Carlos Sio (age 20) · Jake Shaffer (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 103 proj PA

wRC+†77

AVG/OBP/SLG.222 / .301 / .310

PA103

HR1

K%25

BB%9

ISO89

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 62 / POW 38

Toolsscout grade

CONTACT62

scouting grade only

POWER38

scouting grade only

EYE67

scouting grade only

SPEED62

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	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.5M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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)
2024	17	ROK	DSL Mets Blue	—	22	19	1	0	1	0	2	5	0	1	0	53	143	158	301	105	67	23	9	137	-49	—	—	—	—	—	—
2025	18	ROK	DSL Mets Blue	—	67	54	14	1	1	1	10	7	1	6	2	259	385	370	755	111	271	10	15	338	42	—	—	—	—	—	—
2026	19	ROK	DSL Mets Orange	—	196	152	47	10	1	3	34	33	9	15	4	309	462	447	909	138	376	17	17	413	67	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Mets Blue	—	22	20	1	0	1	0	1	6	0	1	0	50	95	150	245	100	46	27	5	96	-49	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mets Blue	—	67	57	9	0	1	0	7	9	1	6	2	158	262	193	455	35	175	13	10	230	42	—	—	—	—	—	—
2026	19	ROK MLE	DSL Mets Orange	—	196	162	30	6	1	1	24	40	9	15	4	185	323	253	576	68	232	20	12	267	67	—	—	—	—	—	—
2024	17	ROK MLE	DSL Mets Blue	—	22	20	1	0	1	0	1	6	0	1	0	50	95	150	245	100	67	27	5	96	-49	—	—	—	—	—	—
2024	17	ROK RAW	DSL Mets Blue	—	22	19	1	0	1	0	2	5	0	1	0	53	143	158	301	105	67	23	9	137	-49	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mets Blue	—	67	57	9	0	1	0	7	9	1	6	2	158	262	193	455	35	180	13	10	230	42	—	—	—	—	—	—
2025	18	ROK RAW	DSL Mets Blue	—	67	54	14	1	1	1	10	7	1	6	2	259	385	370	755	111	271	10	15	338	42	—	—	—	—	—	—
2026	19	ROK MLE	DSL Mets Orange	—	196	162	30	6	1	1	24	40	9	15	4	185	323	253	576	68	238	20	12	267	67	—	—	—	—	—	—
2026	19	ROK RAW	DSL Mets Orange	—	196	152	47	10	1	3	34	33	9	15	4	309	462	447	909	138	376	17	17	413	67	—	—	—	—	—	—
2024	17	ROK MLE	DSL Mets Blue	—	22	21	1	0	1	0	1	6	0	1	0	48	95	143	238	95	46	27	5	96	-49	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mets Blue	—	67	59	9	0	1	0	7	9	1	6	2	153	262	186	448	34	175	13	10	230	42	—	—	—	—	—	—
2026	19	ROK MLE	DSL Mets Orange	—	196	161	30	6	1	1	24	40	9	15	4	186	323	255	578	68	232	20	12	267	67	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Mets Blue	—	22	21	1	0	1	0	1	6	0	1	0	48	95	143	238	95	46	27	5	96	-49	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mets Blue	—	67	59	9	0	1	0	7	9	1	6	2	153	262	186	448	34	175	13	10	230	42	—	—	—	—	—	—
2026	19	ROK MLE	DSL Mets Orange	—	196	161	30	6	1	1	24	40	9	15	4	186	323	255	578	68	232	20	12	267	67	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	NYM	0%	306	272	61	10	3	3	26	76	5	7	1	224	303	313	616	89	297	25	8	282	77	-8	+1	+0	-2	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	NYM	34%	151	135	30	5	1	2	13	37	2	4	1	227	307	324	631	97	297	25	9	288	81	-3	+0	+0	-1	+3	-0.1
2029	22	MLB MLE	NYM	48%	247	219	50	8	2	3	22	60	4	6	1	230	309	334	643	104	298	24	9	292	84	-5	+1	+0	-1	+5	-0.0
2030	23	MLB MLE	NYM	54%	342	304	71	12	3	5	30	83	5	9	2	232	311	342	653	110	299	24	9	296	86	-6	+1	+0	-2	+7	0.1
2031	24	MLB MLE	NYM	55%	406	361	84	14	3	7	36	98	6	10	2	234	313	348	661	114	299	24	9	299	88	-6	+1	+0	-2	+9	0.2
2032	25	MLB MLE	NYM	56%	441	393	93	16	4	8	39	106	6	11	2	235	314	353	666	118	299	24	9	301	90	-5	+1	+0	-3	+10	0.3
2033	26	MLB MLE	NYM	56%	460	410	96	16	4	8	40	110	7	12	2	235	313	353	666	118	299	24	9	301	90	-6	+2	+0	-3	+10	0.3
2034	27	MLB MLE	NYM	55%	467	416	97	16	4	8	41	113	7	12	2	234	312	350	663	116	298	24	9	300	89	-6	+2	+0	-3	+10	0.3
2035	28	MLB MLE	NYM	55%	466	416	97	16	4	8	41	114	6	11	2	232	310	345	656	113	297	24	9	297	87	-7	+1	-1	-3	+10	0.1
2036	29	MLB MLE	NYM	53%	456	407	93	16	3	7	40	112	6	10	2	230	308	339	647	110	296	25	9	293	85	-8	+1	-1	-3	+10	-0.1
2028	21	MLB CTX	NYM	34%	52	46	11	2	0	1	5	13	1	1	0	220	301	315	615	94	288	25	10	281	81	-1	+0	+0	-0	+1	-0.0
2029	22	MLB CTX	NYM	48%	120	107	24	4	1	2	10	29	2	3	1	223	303	324	627	101	289	24	8	286	84	-2	+0	+0	-1	+3	-0.0
2030	23	MLB CTX	NYM	54%	185	164	38	6	2	3	16	45	3	5	1	225	305	332	637	107	289	24	9	289	86	-3	+1	+0	-1	+4	0.1
2031	24	MLB CTX	NYM	55%	225	200	46	7	2	4	20	54	3	6	1	227	307	338	645	111	290	24	9	292	88	-3	+1	+0	-1	+5	0.1
2032	25	MLB CTX	NYM	56%	247	219	50	8	2	4	22	59	4	6	1	228	307	343	650	114	289	24	9	294	90	-3	+1	+0	-1	+5	0.2
2033	26	MLB CTX	NYM	56%	259	230	53	9	2	5	23	62	4	7	1	228	307	343	650	115	289	24	9	294	90	-3	+1	+0	-2	+6	0.2
2034	27	MLB CTX	NYM	55%	258	229	53	9	2	5	23	62	4	6	1	227	306	340	647	113	289	24	9	293	89	-3	+1	+0	-2	+6	0.1
2035	28	MLB CTX	NYM	55%	255	227	51	8	2	4	22	62	4	6	1	225	304	336	640	110	288	24	9	290	87	-4	+1	-0	-2	+6	0.0
2036	29	MLB CTX	NYM	53%	244	218	49	8	2	4	21	60	3	5	1	223	302	330	631	107	287	25	9	287	85	-4	+1	-1	-1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1845	1640	375	61	15	32	162	446	28	45	8	229	309	343	651	114	293	24	9	291	84	-28	+6	-1	-11	+40	0.6
/ 162G	—	A+C		—	650	578	131	21	5	11	57	157	10	16	3	227	307	337	644	111	291	24	9	291	84	-10	+2	-0	-4	+14	0.2
Career	—	MLE		—	3824	3391	771	128	32	58	343	914	61	109	22	227	310	335	645	108	292	24	9	293	84	-55	+11	-2	-21	+77	1.0
/ 162G	—	MLE		—	650	576	131	22	5	10	58	155	10	19	4	227	309	335	644	108	292	24	9	293	84	-10	+2	-0	-4	+14	0.2

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 Mets Orange · 196 PAwOBA .405 → .267 (−139)K% 16.8% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.84%	÷1.000	×1.220	—	—	20.54%
BB% (unintentional) /PA	17.35%	÷1.000	×0.700	—	×0.995	12.08%
HBP% /PA	4.59%	—	×0.700	—	×0.995	3.20%
Singles /BIP	27.73%	÷1.000	×0.680	×0.951	×0.995	17.85%
Doubles /BIP	8.40%	÷1.000	×0.600	×0.951	×0.995	4.77%
Triples /BIP	0.84%	÷1.000	×0.600	×0.951	×0.995	0.48%
Home runs /BIP	2.52%	÷1.000	×0.470	—	×0.995	1.18%

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 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 ×0.951.

Result: wOBA .405 → .267; ISO .138 → .077; BABIP .376 → .232. 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 Mets Blue · 67 PAwOBA .340 → .230 (−111)K% 10.4% → 12.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.45%	÷0.994	×1.220	—	—	12.82%
BB% (unintentional) /PA	14.93%	÷1.011	×0.700	—	×1.008	10.41%
HBP% /PA	1.49%	—	×0.700	—	×1.008	1.05%
Singles /BIP	23.40%	÷0.984	×0.680	×0.971	×1.008	15.83%
Doubles /BIP	2.13%	÷1.301	×0.600	×0.971	×1.008	0.96%
Triples /BIP	2.13%	÷1.000	×0.600	×0.971	×1.008	1.25%
Home runs /BIP	2.13%	÷1.085	×0.470	—	×1.008	0.93%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 97, 2B 160, 3B 100, K 99, BB 102 — 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 ×0.971.

Result: wOBA .340 → .230; ISO .111 → .059; BABIP .271 → .175. 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 Mets Blue · 22 PAwOBA .140 → .096 (−44)K% 22.7% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷0.964	×1.220	—	—	28.76%
BB% (unintentional) /PA	9.09%	÷1.067	×0.700	—	×1.022	6.10%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	0.00%	÷1.035	×0.680	—	×1.022	0.00%
Doubles /BIP	0.00%	÷1.001	×0.600	—	×1.022	0.00%
Triples /BIP	7.14%	÷0.900	×0.600	—	×1.022	4.87%
Home runs /BIP	0.00%	÷0.967	×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 93, 1B 107, 2B 100, 3B 80, K 93, BB 113 — 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).

Result: wOBA .140 → .096; ISO .105 → .073; BABIP .067 → .046. 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
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Darren Bragg'94-'04 * career totals — 10 seasons, 2,835 PA	4.3	2,835	46	56	243*	324*	368*	-18	+2	2.5	3.8
/162	664	11	13	-4.1	+0.4	0.6	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,948	32	48	233	308	346	-12	+0	1.9	1.8
/162	664	11	16	-4.0	+0.0	0.6	pk7: 2
#4Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	pk7: 1
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#6James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	pk7: 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
Jonnhan Sanchez (OGILVIE)	20	57→62	33→38	57→62	67	222/301/310	88	297	1	2	25%	9%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alberto Rodriguez 2021 · A	20	42→52	38→50	52→50	44	203/259/282	79	268	5	14	25%	7%	53	-2.1	228/290/353	125	327	10	8	31%	7%	82	-0.0	228/292/360	132	326	11	7	31%	7%	81	-0.1
✕Jean Carlos Sio 2024 · A	20	41→51	36→45	51→50	51	192/268/258	66	238	4	13	20%	9%	52	-2.2	221/300/315	94	287	8	11	24%	8%	78	-0.3	224/303/331	107	289	11	12	25%	8%	79	-0.2
✕Jake Shaffer 2009 · A	21	43→53	38→45	52→45	42	207/257/288	81	283	5	15	28%	6%	54	-2.0	250/282/362	112	317	9	7	23%	4%	80	-0.2	265/295/386	122	329	9	6	22%	3%	87	+0.3
✕Darrell Ceciliani 2011 · A	21	43→53	38→45	52→55	41	206/263/283	77	275	6	13	26%	6%	55	-1.9	236/292/325	89	318	5	16	26%	6%	76	-0.4	259/299/367	108	345	9	26	26%	4%	86	+0.2
✕James Adduci 2006 · A	21	48→58	38→45	51→60	44	226/277/311	85	297	4	8	24%	6%	67	-1.1	232/281/307	75	331	4	12	29%	6%	67	-1.1	248/303/356	107	313	10	27	23%	7%	85	+0.2
✕Jacob Robson 2017 · A	22	45→55	36→45	54→55	45	209/271/278	69	293	2	18	28%	8%	57	-1.8	244/301/336	92	360	6	16	31%	7%	81	-0.1	252/321/371	119	382	10	22	33%	9%	94	+0.7
✕Ismael Munguia 2019 · A	20	47→55	37→45	50→55	45	222/264/302	80	261	3	7	16%	5%	59	-1.7	247/284/335	88	284	4	10	14%	4%	74	-0.5	266/321/371	105	293	10	20	12%	5%	95	+0.6
✕José Tena 2021 · A	20	45→55	36→45	50→55	38	213/250/285	72	290	3	9	27%	4%	50	-2.3	233/274/354	121	341	11	9	33%	5%	76	-0.4	252/310/371	119	358	10	21	31%	7%	90	+0.5
✕Dalton Kelly 2016 · A	21	43→53	36→45	58→50	44	189/277/263	74	328	2	14	39%	10%	57	-1.8	237/307/343	106	333	6	12	28%	8%	86	+0.3	238/320/344	106	328	8	13	27%	9%	88	+0.4
✕Buddy Kennedy 2019 · A	20	45→55	39→45	51→50	44	215/267/304	88	283	5	6	25%	6%	61	-1.5	217/275/326	109	287	10	7	27%	7%	70	-0.8	237/323/352	115	299	9	6	22%	10%	93	+0.7
✕Ramón Flores 2011 · A	19	45→55	37→45	48→50	47	211/276/288	77	274	4	7	23%	8%	61	-1.5	238/295/334	96	303	7	9	22%	7%	78	-0.3	255/328/354	99	304	9	8	18%	9%	94	+0.6
✕Xavier Avery 2010 · A	20	49→57	36→45	54→55	35	226/261/293	67	328	2	17	31%	4%	55	-1.9	240/287/328	88	339	5	23	29%	6%	74	-0.5	251/302/345	94	339	7	27	27%	6%	80	-0.1
✕Eury Pérez 2009 · A	19	44→54	36→40	54→65	51	204/286/265	61	255	3	20	20%	8%	61	-1.5	257/302/327	70	316	4	28	19%	5%	79	-0.2	300/333/376	75	363	4	37	18%	3%	96	+0.8
✕Carlos Rodríguez 2021 · A	20	48→58	37→40	46→55	43	228/266/305	76	268	4	10	17%	4%	61	-1.5	233/288/311	78	313	3	14	25%	7%	70	-0.8	265/323/349	84	315	3	16	16%	7%	89	+0.3
✕Luis Barrera 2017 · A	21	44→54	38→45	52→50	39	211/254/291	81	297	4	8	30%	5%	53	-2.1	231/270/330	99	308	5	14	26%	5%	68	-1.0	248/293/357	110	319	5	17	23%	6%	80	-0.1
●Ruben Sosa 2012 · A	21	44→54	35→45	52→60	47	204/273/270	66	277	2	15	26%	8%	56	-1.9	224/285/300	76	318	3	25	28%	8%	67	-1.1	269/335/371	102	339	5	31	21%	7%	99	+0.8
✕Danny Mars 2015 · A	21	43→53	40	54→55	43	210/262/297	87	274	7	15	26%	6%	58	-1.7	238/279/308	70	311	4	19	23%	5%	66	-1.1	257/294/328	70	338	3	19	24%	4%	73	-0.4
✕Taylor Trammell 2017 · A	19	47→48	37→55	55	39	218/270/298	80	323	4	18	32%	6%	61	-1.5	216/285/315	99	312	8	20	31%	8%	72	-0.7	213/300/386	173	283	21	17	31%	10%	93	+0.5
✕Yohendrick Pinango 2021 · A	19	48→54	35→50	52→50	51	221/281/284	63	251	2	18	12%	7%	62	-1.4	230/271/321	91	287	8	9	22%	5%	67	-1.1	223/292/355	132	284	14	7	25%	8%	81	-0.0
✕Brandon Short 2009 · A	20	45→54	37→45	49→50	41	210/270/288	78	284	3	14	26%	6%	59	-1.6	242/286/355	113	326	10	10	27%	4%	80	-0.1	250/292/374	124	332	11	11	27%	4%	84	+0.2

Jonnhan Sanchez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps