Marcelo Alcala

CF Kannapolis Cannon Ballers

Age 21 R/R 6'0" / 183 lbs A HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKCWS	161	.272/.371/.441	3	13	28	—	.149/.245/.227
2025	19	ROKCWS	168	.233/.325/.479	7	14	26	—	.146/.223/.291
2026	20	A/ROKCWS	272	.153/.319/.278	5	16	8	—	.087/.222/.161
2027PROJMLE	21	MLBCWS	382	.173/.250/.273	6	8	49	-0.6
2028PROJ34% MLB	22	MLBCWS	73	.182/.259/.299	2	2	57	-0.1
2029PROJ48% MLB	23	MLBCWS	146	.189/.266/.320	4	3	65	-0.2

Next 3 projected WAR -1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Speed75

Chase%60

BB%57

ISO52

wOBA19

wRC+19

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

CompsJase Bowen (age 21) · Narciso Crook (age 21) · Johan Mieses (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 162 proj PA

wRC+†49

AVG/OBP/SLG.172 / .248 / .271

PA162

HR3

K%36

BB%7

ISO100

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 20 / POW 55

Toolsscout grade

CONTACT20

scouting grade only

POWER55

scouting grade only

EYE30

scouting grade only

SPEED60

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	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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)
2023	17	ROK	DSL White Sox	—	127	98	24	8	1	2	20	37	9	5	1	245	417	408	825	163	373	29	16	381	49	—	—	—	—	—	—
2024	18	ROK	DSL White Sox	—	161	136	37	4	5	3	12	54	10	13	4	272	371	441	812	169	420	34	7	359	28	—	—	—	—	—	—
2025	19	ROK	ACL White Sox	—	168	146	34	7	4	7	14	63	6	14	1	233	325	479	805	247	355	38	8	349	26	—	—	—	—	—	—
2026	20	A	Kannapolis Cannon Ballers	—	146	117	16	5	1	3	19	67	9	6	3	137	303	274	577	137	277	46	13	277	8	—	—	—	—	—	—
2026	20	ROK	ACL White Sox	—	126	99	17	5	0	2	19	48	6	10	1	172	336	283	619	111	300	38	15	296	8	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL White Sox	—	127	104	16	5	1	1	14	42	9	5	1	154	307	250	557	96	221	33	11	240	49	—	—	—	—	—	—
2024	18	ROK MLE	DSL White Sox	—	161	141	21	2	3	1	8	68	10	13	4	149	245	227	472	78	258	42	5	210	28	—	—	—	—	—	—
2025	19	ROK MLE	ACL White Sox	—	168	151	22	4	3	4	9	91	6	14	1	146	223	291	514	146	280	54	5	206	26	—	—	—	—	—	—
2026	20	A MLE	Kannapolis Cannon Ballers	—	146	123	10	3	1	2	13	91	9	6	3	81	221	171	391	89	243	62	9	180	8	—	—	—	—	—	—
2026	20	ROK MLE	ACL White Sox	—	126	107	10	3	0	1	12	69	6	10	1	93	224	150	374	56	220	55	10	180	8	—	—	—	—	—	—
2023	17	ROK MLE	DSL White Sox	—	127	104	16	5	1	1	14	42	9	5	1	154	307	250	557	96	246	33	11	240	49	—	—	—	—	—	—
2023	17	ROK RAW	DSL White Sox	—	127	98	24	8	1	2	20	37	9	5	1	245	417	408	825	163	373	29	16	381	49	—	—	—	—	—	—
2024	18	ROK MLE	DSL White Sox	—	161	141	21	2	3	1	8	68	10	13	4	149	245	227	472	78	270	42	5	210	28	—	—	—	—	—	—
2024	18	ROK RAW	DSL White Sox	—	161	136	37	4	5	3	12	54	10	13	4	272	371	441	812	169	420	34	7	359	28	—	—	—	—	—	—
2025	19	ROK MLE	ACL White Sox	—	168	151	22	4	3	4	9	91	6	14	1	146	223	291	514	146	321	54	5	206	26	—	—	—	—	—	—
2025	19	ROK RAW	ACL White Sox	—	168	146	34	7	4	7	14	63	6	14	1	233	325	479	805	247	355	38	8	349	26	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	272	230	21	6	1	3	25	160	15	16	4	91	226	165	391	74	265	59	9	180	8	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	272	216	33	10	1	5	38	115	15	16	4	153	319	278	596	125	289	42	14	286	8	—	—	—	—	—	—
2023	17	ROK MLE	DSL White Sox	—	127	103	16	5	1	1	14	42	9	5	1	155	307	252	560	97	221	33	11	240	49	—	—	—	—	—	—
2024	18	ROK MLE	DSL White Sox	—	161	142	21	2	3	1	8	68	10	13	4	148	245	225	471	77	258	42	5	210	28	—	—	—	—	—	—
2025	19	ROK MLE	ACL White Sox	—	168	151	22	4	3	4	9	91	6	14	1	146	223	291	514	146	280	54	5	206	26	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	272	230	21	6	1	3	25	160	15	16	4	91	226	165	391	74	232	59	9	180	8	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL White Sox	—	161	142	21	2	3	1	8	68	10	13	4	148	245	225	471	77	258	42	5	210	28	—	—	—	—	—	—
2025	19	ROK MLE	ACL White Sox	—	168	151	22	4	3	4	9	91	6	14	1	146	223	291	514	146	280	54	5	206	26	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	272	230	21	6	1	3	25	160	15	16	4	91	226	165	391	74	232	59	9	180	8	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	CWS	0%	382	344	60	12	2	6	27	137	8	8	2	173	250	273	523	100	262	36	7	241	49	-23	+1	+0	+1	+8	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	CWS	34%	211	189	34	7	1	4	15	74	5	5	1	181	258	296	554	115	266	35	7	253	57	-11	+1	+0	+1	+5	-0.5
2029	23	MLB MLE	CWS	48%	302	271	52	10	2	7	22	103	6	7	2	189	265	318	583	129	269	34	7	264	65	-13	+1	+0	+1	+7	-0.5
2030	24	MLB MLE	CWS	53%	372	334	65	12	2	10	27	125	8	9	2	194	271	334	605	139	271	34	7	273	71	-13	+1	+0	+1	+8	-0.3
2031	25	MLB MLE	CWS	55%	411	369	73	13	2	12	31	135	8	10	3	199	275	345	620	146	273	33	8	279	75	-12	+1	+0	+1	+9	-0.1
2032	26	MLB MLE	CWS	56%	431	388	77	14	2	13	32	140	8	10	3	202	278	353	632	151	274	32	7	283	78	-11	+1	+0	+2	+9	0.0
2028	22	MLB CTX	CWS	34%	73	66	12	2	0	2	5	26	2	2	0	182	259	299	557	117	266	36	7	254	57	-4	+0	+0	+0	+2	-0.1
2029	23	MLB CTX	CWS	48%	146	131	26	5	1	4	11	50	3	3	1	189	266	320	586	131	269	34	8	265	65	-6	+0	+0	+1	+3	-0.2
2030	24	MLB CTX	CWS	53%	196	176	33	6	1	5	14	66	4	5	1	195	272	337	608	141	272	34	7	274	71	-7	+1	+0	+1	+4	-0.1
2031	25	MLB CTX	CWS	55%	225	201	40	7	1	7	17	74	5	5	1	200	276	348	624	149	274	33	8	280	75	-7	+1	+0	+1	+5	-0.0
2032	26	MLB CTX	CWS	56%	240	215	43	8	1	7	18	78	5	6	2	203	279	357	636	153	275	32	8	285	78	-6	+0	+0	+1	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	880	789	154	28	4	25	65	294	19	21	5	195	273	336	608	141	272	33	7	275	56	-30	+2	+0	+3	+19	-0.5
/ 162G	—	A+C		—	650	583	114	21	3	18	48	217	14	16	4	196	273	334	607	139	274	33	7	275	56	-22	+2	+0	+2	+14	-0.4
Career	—	MLE		—	2617	2323	407	78	18	58	194	996	79	93	22	175	262	299	561	124	272	38	7	251	56	-70	+4	+0	+7	+41	-1.8
/ 162G	—	MLE		—	650	577	100	19	4	14	48	247	20	23	5	173	260	293	553	120	270	38	7	251	56	-24	+1	+0	+2	+14	-0.6

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 AKannapolis Cannon Ballers · 146 PAwOBA .271 → .180 (−91)K% 45.9% → 62.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	45.89%	÷1.000	×1.360	—	—	62.41%
BB% (unintentional) /PA	13.01%	÷1.000	×0.690	—	×1.030	9.25%
HBP% /PA	6.16%	—	×0.780	—	×1.030	4.95%
Singles /BIP	14.00%	÷1.000	×0.920	×0.974	×1.030	12.92%
Doubles /BIP	10.00%	÷1.000	×0.830	×0.974	×1.030	8.32%
Triples /BIP	2.00%	÷1.000	×0.910	×0.974	×1.030	1.83%
Home runs /BIP	6.00%	÷1.000	×0.800	—	×1.030	4.94%

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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .271 → .180; ISO .137 → .078; BABIP .277 → .243. 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 White Sox · 126 PAwOBA .292 → .180 (−111)K% 38.1% → 54.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.10%	÷1.000	×1.440	—	—	54.86%
BB% (unintentional) /PA	15.08%	÷1.000	×0.620	—	×0.995	9.30%
HBP% /PA	4.76%	—	×0.720	—	×0.995	3.41%
Singles /BIP	19.61%	÷1.000	×0.820	×0.950	×0.995	15.20%
Doubles /BIP	9.80%	÷1.000	×0.720	×0.950	×0.995	6.67%
Triples /BIP	0.00%	÷1.000	×0.720	×0.950	×0.995	0.00%
Home runs /BIP	3.92%	÷1.000	×0.780	—	×0.995	3.04%

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 ×0.950.

Result: wOBA .292 → .180; ISO .111 → .065; BABIP .300 → .220. 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 White Sox · 168 PAwOBA .340 → .206 (−133)K% 37.5% → 54.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.50%	÷0.998	×1.440	—	—	54.12%
BB% (unintentional) /PA	8.33%	÷0.994	×0.620	—	×1.008	5.24%
HBP% /PA	3.57%	—	×0.720	—	×1.008	2.59%
Singles /BIP	19.28%	÷0.980	×0.820	×1.012	×1.008	16.44%
Doubles /BIP	8.43%	÷1.039	×0.720	×1.012	×1.008	5.96%
Triples /BIP	4.82%	÷0.900	×0.720	×1.012	×1.008	3.93%
Home runs /BIP	8.43%	÷1.128	×0.780	—	×1.008	5.87%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 96, 2B 108, 3B 80, K 100, BB 99 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .340 → .206; ISO .247 → .138; BABIP .355 → .280. 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 White Sox · 161 PAwOBA .354 → .210 (−144)K% 33.5% → 42.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.54%	÷0.971	×1.220	—	—	42.15%
BB% (unintentional) /PA	7.45%	÷1.024	×0.700	—	×1.008	5.13%
HBP% /PA	6.21%	—	×0.700	—	×1.008	4.38%
Singles /BIP	30.49%	÷1.021	×0.680	×0.950	×1.008	19.44%
Doubles /BIP	4.88%	÷0.965	×0.600	×0.950	×1.008	2.90%
Triples /BIP	6.10%	÷0.912	×0.600	×0.950	×1.008	3.84%
Home runs /BIP	3.66%	÷1.463	×0.470	—	×1.008	1.18%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 193, 1B 104, 2B 93, 3B 82, K 94, BB 105 — 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 ×0.950.

Result: wOBA .354 → .210; ISO .169 → .081; BABIP .420 → .258. 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).

2023 DSLDSL White Sox · 127 PAwOBA .372 → .240 (−132)K% 29.1% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.13%	÷1.073	×1.220	—	—	33.13%
BB% (unintentional) /PA	15.75%	÷1.030	×0.700	—	×1.022	10.94%
HBP% /PA	7.09%	—	×0.700	—	×1.022	5.07%
Singles /BIP	21.31%	÷1.045	×0.680	×0.950	×1.022	13.47%
Doubles /BIP	13.11%	÷1.013	×0.600	×0.950	×1.022	7.54%
Triples /BIP	1.64%	÷1.150	×0.600	×0.950	×1.022	0.83%
Home runs /BIP	3.28%	÷1.233	×0.470	—	×1.022	1.28%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 147, 1B 109, 2B 103, 3B 130, K 115, 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 ×0.950.

Result: wOBA .372 → .240; ISO .163 → .086; BABIP .373 → .221. 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
#1Ruben Rivera'95-'03 * career totals — 7 seasons, 1,818 PA	2.7	1,818	64	50	206*	292*	376*	-1	+20	4.0	4.0
/162	664	23	18	-0.3	+7.2	1.5	pk7: 4
#2Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#3Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#4Dylan Carlsonlast yr '25 career totals — 6 seasons, 1,987 PA	3.0	1,987	43	16	233	312	372	-9	-22	0.8	0.8
/162	664	14	5	-3.0	-7.4	0.3	pk7: 1
#5Rusty Torres'71-'80 * career totals — 8 seasons, 1,522 PA	2.3	1,522	35	13	213*	304*	371*	-8	-6	-0.1	0.6
/162	664	15	6	-3.3	-2.7	-0.0	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.6	1,042	27	25	193	266	328	-5	+0	-1.4	-0.7
/162	664	17	16	-3.0	+0.0	-0.9	pk7: 0
#6Joe Simpson'75-'83 * career totals — 5 seasons, 1,531 PA	2.3	1,531	9	45	237*	289*	336*	-9	+2	-2.3	-1.8
/162	664	4	20	-4.0	+1.1	-1.0	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
Marcelo Alcala (OGILVIE)	21	20	55	60	30	172/248/271	99	262	3	4	36%	7%	49	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Narciso Crook 2016 · A	21	38→43	42→50	53→50	32	191/223/294	104	286	9	12	36%	4%	42	-2.9	201/247/311	110	301	10	10	35%	5%	56	-1.9	211/273/363	152	309	16	14	35%	6%	75	-0.3
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕George Feliz 2023 · A	20	34	39→45	54→45	38	169/229/251	81	271	6	13	38%	7%	36	-3.4	173/235/269	96	305	10	11	44%	6%	42	-2.9	160/223/268	108	267	13	9	43%	6%	36	-1.2
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
✕Estee Harris 2006 · A	21	37→32	44→50	50	37	190/237/306	116	273	11	14	34%	6%	51	-2.2	189/241/290	101	317	9	13	41%	6%	49	-2.4	173/225/264	91	319	8	13	46%	6%	34	-1.1
✕Ryan Spikes 2024 · A	21	36→30	42→45	53→55	35	175/239/277	101	299	10	17	42%	7%	45	-2.7	186/234/300	114	292	13	18	39%	5%	49	-2.4	181/223/300	119	274	14	22	38%	4%	42	-1.5
✕Angel Castillo 2010 · A	21	37→41	45→50	51→50	34	192/247/311	119	282	13	10	36%	4%	57	-1.8	199/251/321	122	287	15	12	35%	5%	60	-1.6	187/239/304	117	266	15	13	35%	5%	50	-1.6
✕Stanley Tucker 2024 · A	22	39	41→45	53→65	36	188/242/288	100	308	9	11	40%	6%	49	-2.4	187/256/270	83	274	7	23	32%	8%	50	-2.3	180/250/264	84	241	8	36	28%	8%	44	-1.3
✕Travis Witherspoon 2010 · A	21	37→47	42→45	56→55	31	185/227/286	101	289	9	10	39%	4%	42	-2.9	212/258/321	109	300	11	19	32%	5%	62	-1.4	218/269/333	115	295	13	25	29%	6%	66	-0.9
✕Monte Harrison 2017 · A	21	38→45	39→50	52→60	35	178/247/260	82	307	6	14	41%	6%	45	-2.7	209/266/337	128	339	14	19	40%	5%	70	-0.8	201/270/324	123	349	15	41	43%	7%	65	-0.6
✕Kevin Smith 2018 · A	22	39→45	44→55	53→50	34	195/232/312	117	284	11	8	35%	4%	51	-2.3	208/251/356	148	292	17	13	34%	5%	68	-1.0	209/261/367	157	281	19	15	32%	6%	73	-0.5
✕Kyle Nevin 2023 · A	21	41→40	40	52→50	39	199/251/297	98	277	6	10	29%	5%	54	-2.0	219/276/320	101	333	8	10	34%	7%	69	-0.9	214/275/310	96	327	9	12	35%	7%	64	-0.8
✕Cole Roederer 2021 · A	21	39→33	43→45	51→50	42	193/261/303	109	286	10	12	34%	8%	60	-1.6	207/272/319	112	304	11	12	33%	7%	68	-1.0	183/257/295	112	268	12	11	34%	8%	56	-1.1
✕Jacob Scavuzzo 2015 · A	21	38→48	42→55	50→45	36	191/235/298	107	271	10	10	33%	5%	48	-2.5	216/259/349	133	289	14	7	30%	5%	70	-0.9	217/259/358	141	283	17	5	29%	4%	69	-0.6
✕James Simmons 2008 · A	22	37	39→50	52→55	36	176/239/269	93	301	6	11	41%	7%	43	-2.8	192/243/283	91	330	7	16	41%	6%	48	-2.5	196/254/350	155	346	21	18	47%	6%	65	-0.5
✕Axel Sanchez 2024 · A	21	37	44→45	52→50	38	185/251/304	119	276	11	15	36%	6%	57	-1.8	181/250/281	100	273	10	14	35%	7%	51	-2.2	166/241/259	93	242	11	16	34%	7%	42	-1.3
✕Brian Sanchez 2016 · A	20	35	39→50	47→45	37	173/232/259	86	255	6	7	33%	5%	39	-3.1	185/246/289	104	268	10	4	33%	6%	51	-2.2	177/247/294	117	245	12	0	32%	7%	52	-0.7

Marcelo Alcala

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps