Diorland Zambrano

SS ACL Reds

Age 20 R/R 5'10" / 168 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1543ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKCIN	117	.284/.398/.400	3	2	44	—	.170/.265/.210
2025	18	ROKCIN	185	.270/.346/.350	2	5	24	—	.172/.231/.213
2026	19	ROKCIN	125	.269/.358/.444	3	1	61	—	.205/.276/.321
2027PROJMLE	20	MLBCIN	235	.220/.279/.308	3	3	66	0.0
2028PROJ34% MLB	21	MLBCIN	41	.226/.285/.326	1	1	71	0.0
2029PROJ48% MLB	22	MLBCIN	101	.229/.290/.337	2	2	75	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%93

Whiff%80

K%77

ISO76

Speed48

wOBA39

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 97%

CompsMichael Almanzar (age 20) · Brandol Mezquita (age 20) · Jon Gilmore (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 65 proj PA

wRC+†66

AVG/OBP/SLG.218 / .276 / .305

PA65

HR1

K%24

BB%6

ISO88

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · ContractCON 50 / POW 25

Toolsscout grade

CONTACT50

scouting grade only

POWER25

scouting grade only

EYE35

scouting grade only

SPEED45

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	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.8M	—	—	—
2037	Arb-2	$0.7M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.5M

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 Reds	—	117	95	27	2	0	3	16	10	2	2	3	284	398	400	798	116	286	9	14	353	44	—	—	—	—	—	—
2025	18	ROK	DSL Reds	—	185	163	44	7	0	2	17	11	2	5	3	270	346	350	696	80	276	6	9	314	24	—	—	—	—	—	—
2026	19	ROK	ACL Reds	—	125	108	29	4	3	3	11	20	4	1	2	269	358	444	802	176	302	16	9	352	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Reds	—	117	100	17	1	0	1	11	13	2	2	3	170	265	210	475	40	182	11	9	233	44	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	185	169	29	4	0	1	11	14	2	5	3	172	231	213	444	41	176	8	6	203	24	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	125	112	23	3	2	2	7	29	4	1	2	205	276	321	598	116	242	23	6	258	61	—	—	—	—	—	—
2024	17	ROK MLE	DSL Reds	—	117	100	17	1	0	1	11	13	2	2	3	170	265	210	475	40	182	11	9	233	44	—	—	—	—	—	—
2024	17	ROK RAW	DSL Reds	—	117	95	27	2	0	3	16	10	2	2	3	284	398	400	798	116	286	9	14	353	44	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	185	169	29	4	0	1	11	14	2	5	3	172	231	213	444	41	179	8	6	203	24	—	—	—	—	—	—
2025	18	ROK RAW	DSL Reds	—	185	163	44	7	0	2	17	11	2	5	3	270	346	350	696	80	276	6	9	314	24	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	125	112	23	3	2	2	7	29	4	1	2	205	276	321	598	116	256	23	6	258	61	—	—	—	—	—	—
2026	19	ROK RAW	ACL Reds	—	125	108	29	4	3	3	11	20	4	1	2	269	358	444	802	176	302	16	9	352	61	—	—	—	—	—	—
2024	17	ROK MLE	DSL Reds	—	117	103	17	1	0	1	11	13	2	2	3	165	265	204	469	39	182	11	9	233	44	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	185	170	29	4	0	1	11	14	2	5	3	171	231	212	443	41	176	8	6	203	24	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	125	113	23	3	2	2	7	29	4	1	2	204	276	319	595	115	242	23	6	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Reds	—	117	103	17	1	0	1	11	13	2	2	3	165	265	204	469	39	182	11	9	233	44	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	185	170	29	4	0	1	11	14	2	5	3	171	231	212	443	41	176	8	6	203	24	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	125	113	23	3	2	2	7	29	4	1	2	204	276	319	595	115	242	23	6	258	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CIN	0%	235	215	49	8	2	3	15	55	3	3	1	220	279	308	586	88	281	23	6	266	66	-10	+0	+0	+3	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CIN	34%	118	108	25	4	1	2	8	27	1	2	1	224	284	321	605	97	283	23	7	273	71	-4	+0	+0	+1	+3	-0.0
2029	22	MLB MLE	CIN	48%	209	191	44	7	2	3	14	48	2	3	1	227	288	331	619	104	284	23	7	279	75	-6	+0	+0	+2	+5	0.1
2030	23	MLB MLE	CIN	54%	303	275	63	10	2	5	21	70	4	5	2	230	291	340	631	110	285	23	7	284	78	-8	+0	+0	+3	+7	0.2
2031	24	MLB MLE	CIN	55%	377	344	80	13	3	7	26	86	4	6	2	232	294	346	640	114	287	23	7	287	81	-9	+0	+0	+4	+8	0.4
2032	25	MLB MLE	CIN	56%	418	381	89	15	3	8	29	95	5	7	3	233	296	350	646	117	287	23	7	290	82	-9	+0	+0	+4	+9	0.5
2033	26	MLB MLE	CIN	56%	441	402	93	15	3	9	31	101	5	7	3	232	295	350	645	118	287	23	7	290	82	-9	+0	+0	+5	+10	0.5
2034	27	MLB MLE	CIN	55%	451	411	96	16	3	9	32	104	5	7	3	231	294	348	642	116	286	23	7	288	81	-10	+0	+0	+5	+10	0.5
2035	28	MLB MLE	CIN	55%	451	411	94	15	3	8	32	105	5	6	3	230	293	343	636	113	285	23	7	286	80	-11	+0	-1	+5	+10	0.3
2036	29	MLB MLE	CIN	58%	444	405	92	15	3	8	31	104	5	6	3	228	290	337	627	110	284	23	7	282	77	-12	+0	-1	+5	+10	0.1
2037	30	MLB MLE	CIN	60%	434	397	89	14	3	7	30	103	4	5	3	225	286	330	617	105	283	24	7	278	74	-13	-0	-2	+5	+9	-0.2
2028	21	MLB CTX	CIN	34%	41	38	8	1	0	1	3	10	0	1	0	226	285	326	611	100	284	24	7	276	71	-1	+0	+0	+0	+1	0.0
2029	22	MLB CTX	CIN	48%	101	92	21	3	1	2	7	23	1	2	1	229	290	337	626	108	285	23	7	282	75	-3	+0	+0	+1	+2	0.0
2030	23	MLB CTX	CIN	54%	164	150	34	5	1	3	11	38	2	3	1	231	293	346	638	114	286	23	7	287	78	-4	+0	+0	+2	+4	0.1
2031	24	MLB CTX	CIN	55%	209	191	45	7	2	4	14	48	2	3	1	234	296	352	648	119	288	23	7	291	81	-5	+0	+0	+2	+5	0.2
2032	25	MLB CTX	CIN	56%	234	213	50	8	2	5	16	53	3	4	1	235	297	357	654	122	288	23	7	293	82	-5	+0	+0	+3	+5	0.3
2033	26	MLB CTX	CIN	56%	248	226	53	8	2	5	17	57	3	4	2	234	297	357	654	122	288	23	7	293	82	-5	+0	+0	+3	+5	0.3
2034	27	MLB CTX	CIN	55%	249	227	53	8	2	5	17	57	3	4	2	233	296	354	650	121	287	23	7	292	81	-6	+0	+0	+3	+5	0.3
2035	28	MLB CTX	CIN	55%	247	225	52	8	2	5	17	57	3	3	2	232	294	349	644	118	286	23	7	289	80	-6	-0	-0	+3	+5	0.1
2036	29	MLB CTX	CIN	58%	258	235	55	9	2	5	18	61	3	3	2	229	292	343	635	114	285	24	7	285	77	-7	-0	-1	+3	+6	0.0
2037	30	MLB CTX	CIN	60%	261	238	55	9	2	5	18	62	3	3	2	227	288	336	624	109	284	24	7	281	74	-8	-0	-1	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2012	1835	426	66	16	40	138	466	23	30	14	232	294	351	645	119	288	23	7	288	75	-50	+0	-2	+22	+44	1.3
/ 162G	—	A+C		—	650	593	137	21	5	13	45	151	7	10	5	231	293	349	642	118	287	23	7	288	75	-16	+0	-1	+7	+14	0.4
Career	—	MLE		—	4138	3766	847	134	28	71	287	914	49	63	32	225	288	332	620	107	277	22	7	279	75	-94	+1	-4	+40	+80	2.4
/ 162G	—	MLE		—	650	592	132	21	4	11	45	144	8	10	5	223	287	328	615	105	274	22	7	279	75	-16	+0	-1	+7	+14	0.4

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 ROKACL Reds · 125 PAwOBA .346 → .258 (−88)K% 16.0% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷1.000	×1.440	—	—	23.04%
BB% (unintentional) /PA	8.80%	÷1.000	×0.620	—	×0.995	5.43%
HBP% /PA	3.20%	—	×0.720	—	×0.995	2.29%
Singles /BIP	21.59%	÷1.000	×0.820	×1.023	×0.995	18.02%
Doubles /BIP	4.55%	÷1.000	×0.720	×1.023	×0.995	3.33%
Triples /BIP	3.41%	÷1.000	×0.720	×1.023	×0.995	2.50%
Home runs /BIP	3.41%	÷1.000	×0.780	—	×0.995	2.65%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .346 → .258; ISO .176 → .130; BABIP .302 → .242. 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 Reds · 185 PAwOBA .310 → .203 (−107)K% 5.9% → 7.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.95%	÷0.993	×1.220	—	—	7.30%
BB% (unintentional) /PA	9.19%	÷1.038	×0.700	—	×0.995	6.17%
HBP% /PA	1.08%	—	×0.700	—	×0.995	0.75%
Singles /BIP	23.03%	÷0.994	×0.680	×0.972	×0.995	15.25%
Doubles /BIP	4.61%	÷1.065	×0.600	×0.972	×0.995	2.51%
Triples /BIP	0.00%	÷0.900	×0.600	×0.972	×0.995	0.00%
Home runs /BIP	1.32%	÷0.994	×0.470	—	×0.995	0.62%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 113, 3B 80, K 99, BB 108 — 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 ×0.972.

Result: wOBA .310 → .203; ISO .080 → .043; BABIP .276 → .176. 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 Reds · 117 PAwOBA .351 → .233 (−118)K% 8.5% → 10.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.55%	÷0.957	×1.220	—	—	10.90%
BB% (unintentional) /PA	13.68%	÷0.994	×0.700	—	×1.008	9.70%
HBP% /PA	1.71%	—	×0.700	—	×1.008	1.21%
Singles /BIP	25.88%	÷1.068	×0.680	×1.012	×1.008	16.80%
Doubles /BIP	2.35%	÷0.960	×0.600	×1.012	×1.008	1.50%
Triples /BIP	0.00%	÷0.901	×0.600	×1.012	×1.008	0.00%
Home runs /BIP	3.53%	÷1.136	×0.470	—	×1.008	1.47%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 114, 2B 92, 3B 80, K 91, BB 99 — 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 ×1.012.

Result: wOBA .351 → .233; ISO .116 → .057; BABIP .286 → .182. 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
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#3Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#5Mike Tyson'72-'81 * career totals — 9 seasons, 3,200 PA	4.8	3,200	27	23	236*	281*	354*	+20	+24	1.9	3.3
/162	664	6	5	+4.1	+4.9	0.4	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,078	37	30	230	289	342	+22	+18	2.7	2.6
/162	664	12	10	+7.1	+5.8	0.9	pk7: 2
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Diorland Zambrano (OGILVIE)	20	50	25	45	35	218/276/305	87	281	1	1	24%	6%	66	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Michael Almanzar 2011 · A	20	40→50	38→45	46→45	36	196/235/277	81	273	6	4	30%	4%	43	-2.8	211/249/309	98	279	9	6	27%	4%	56	-1.9	243/289/370	127	299	13	8	23%	5%	83	+0.0
✕Brandol Mezquita 2021 · A	20	42→52	37→30	47→50	40	191/266/257	65	310	5	9	37%	8%	51	-2.2	208/272/284	76	350	5	13	39%	7%	59	-1.7	199/263/270	72	337	4	14	39%	6%	51	-1.0
✕Jon Gilmore 2008 · A	19	45→55	36→40	48→30	37	214/241/278	64	282	4	4	25%	3%	45	-2.7	241/268/312	71	307	4	2	22%	3%	63	-1.4	264/297/339	76	330	5	1	21%	4%	78	-0.2
✕Felix G. Santana 2015 · A	20	41	35→30	46→50	44	194/262/257	63	252	3	10	23%	6%	50	-2.3	210/261/295	85	275	6	7	25%	5%	57	-1.8	221/250/302	81	284	6	0	24%	2%	50	-0.5
✕Albert Laboy 2007 · A	20	40→38	38→40	48→45	41	193/236/269	76	242	5	10	22%	5%	42	-2.9	218/264/308	90	260	9	7	19%	5%	61	-1.5	215/263/301	86	251	10	6	18%	5%	57	-1.0
✕Chuck Taylor 2014 · A	20	44→54	37→40	45→50	41	207/267/278	71	294	4	9	29%	6%	55	-1.9	227/292/296	69	302	4	7	24%	7%	69	-0.9	240/305/325	85	298	6	4	20%	7%	78	-0.2
✕Nate Nankil 2024 · A	21	42→51	37→40	50→45	43	198/250/270	72	264	4	7	26%	6%	47	-2.5	225/294/314	89	290	7	5	23%	7%	75	-0.5	221/293/305	83	282	7	5	22%	7%	69	-0.7
✕Diego Hernandez 2021 · A	20	45→54	36→40	46→60	40	212/256/277	64	287	4	10	27%	5%	51	-2.3	232/283/305	73	325	5	26	28%	6%	68	-1.0	235/286/309	74	327	5	32	28%	6%	67	-0.7
✕Rosell Herrera 2013 · A	20	40→50	37→45	48→55	42	193/245/268	75	263	5	9	28%	6%	45	-2.7	238/286/328	90	316	8	10	26%	6%	74	-0.6	253/308/344	91	321	4	24	21%	7%	84	+0.1
✕Calten Daal 2014 · A	20	41→51	36→30	51→50	36	195/238/255	61	299	3	8	35%	5%	39	-3.1	249/281/295	46	324	2	13	22%	4%	63	-1.3	267/299/303	36	342	1	16	21%	4%	68	-0.5
✕Carlos Tocci 2015 · A	19	45→55	35→40	42→45	39	212/253/273	61	275	2	7	23%	4%	49	-2.4	250/290/323	73	317	3	8	21%	4%	74	-0.6	266/308/338	72	332	3	8	20%	4%	81	-0.1
✕Jose Meza 2023 · A	20	37→42	39→40	48→50	44	183/255/263	80	245	6	10	27%	7%	49	-2.4	199/291/294	95	292	8	8	32%	10%	70	-0.8	186/290/280	94	280	9	10	33%	11%	66	-0.7
✕Allen Córdoba 2016 · A	20	46→51	35→45	50→55	44	216/263/272	57	258	3	12	18%	5%	53	-2.1	228/278/310	82	286	5	13	21%	6%	67	-1.1	233/296/332	99	290	8	22	21%	5%	77	-0.2
●Juan Lagares 2009 · A	20	43→53	38→45	47→50	40	209/247/294	86	269	5	10	24%	4%	51	-2.2	244/269/338	94	314	6	14	23%	3%	69	-0.9	276/309/387	111	347	6	13	22%	4%	93	+0.7
✕Yunior Garcia 2021 · A	20	38→48	41→45	48→30	36	190/240/287	97	286	9	7	36%	5%	48	-2.5	223/273/336	113	325	11	4	33%	5%	72	-0.7	228/278/346	118	323	12	2	32%	5%	72	-0.3
✕Joshual Ramirez 2016 · A	20	42	35→30	44→50	43	198/250/258	60	258	3	9	23%	6%	45	-2.7	194/242/273	79	270	4	8	28%	5%	45	-2.7	154/193/242	88	209	3	6	27%	4%	17	-1.1
✕Jose Garcia 2009 · A	21	41→51	36→40	42→55	46	191/250/255	64	240	3	8	21%	6%	45	-2.7	236/280/308	72	292	4	18	20%	5%	67	-1.1	253/296/322	69	311	5	22	19%	5%	73	-0.5
✕Juan Rodriguez 2015 · A	20	43	37→40	46→55	43	204/253/280	76	262	4	8	23%	6%	51	-2.3	218/257/298	80	258	4	14	17%	5%	56	-1.9	230/260/311	81	257	4	22	12%	4%	56	-0.7
✕Phillip Evans 2014 · A	21	39→49	37→45	45→40	44	189/239/257	67	237	4	5	22%	6%	40	-3.1	217/264/293	76	271	5	3	21%	6%	57	-1.8	215/290/341	125	253	14	3	20%	8%	78	-0.2
✕Randy César 2016 · A	21	39→49	38→40	40	40	191/243/266	75	268	6	2	30%	6%	44	-2.8	214/255/298	84	323	8	3	34%	5%	55	-1.9	237/283/328	91	347	8	2	32%	6%	69	-0.6

Diorland Zambrano

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps