Alberth Palma

SS Charleston RiverDogs

Age 21 R/R 6'0" / 170 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#279ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL Tampa Bay	153	.270/.370/.310	0	18	40	—	.191/.274/.214
2025	19	A/ROKTB	258	.282/.407/.335	0	16	76	—	.249/.337/.290
2026	20	ATB	483	.224/.346/.254	0	41	55	—	.211/.302/.237
2027PROJMLE	21	MLBTB	579	.226/.312/.265	0	20	69	0.1
2028PROJ34% MLB	22	MLBTB	154	.235/.321/.293	1	5	77	0.1
2029PROJ48% MLB	23	MLBTB	240	.240/.325/.314	2	7	84	0.4

Next 3 projected WAR 0.6Projected 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%90

Whiff%87

Chase%77

Z-Con%77

BB%68

Speed53

Career WAR0.0 WAR median (P10 -0.2 / P90 8.5, comp-based) · star 0% · didn't stick 86%

CompsRicardo Ferreira (age 21) · Yonny Hernández (age 21) · Isaias Velasquez (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†69

AVG/OBP/SLG.224 / .310 / .262

PA210

HR0

SB7

K%19

BB%10

ISO39

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$29M ctrl surplus

Tools · ContractCON 60 / POW 20

Toolsscout grade

CONTACT60

scouting grade only

POWER20

scouting grade only

EYE60

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	+0.9	$2M	+$2M
2033	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2036	Arb-2	$4M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$8M	+$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)
2023	17	ROK	DSL Tampa Bay	—	55	49	8	0	0	0	4	9	0	1	2	163	226	163	390		195	16	7	182	-24	—	—	—	—	—	—
2024	18	ROK	DSL Tampa Bay	—	153	126	34	5	0	0	16	15	4	18	4	270	370	310	679	40	296	10	10	306	40	—	—	—	—	—	—
2025	19	A	Charleston RiverDogs	—	87	80	18	2	0	0	6	12	1	1	0	225	287	250	537	25	265	14	7	253	40	—	—	—	—	—	—
2025	19	ROK	FCL Rays	—	171	129	41	1	4	0	33	17	4	15	9	318	470	388	857	70	357	10	19	388	94	—	—	—	—	—	—
2026	20	A	Charleston RiverDogs	—	483	401	90	12	0	0	69	70	6	41	8	224	346	254	600	30	269	14	14	287	55	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tampa Bay	—	55	50	6	0	0	0	3	11	0	1	2	120	170	120	290		141	20	5	133	-24	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	153	131	25	3	0	0	11	19	4	18	4	191	274	214	488	23	209	12	7	227	40	—	—	—	—	—	—
2025	19	A MLE	Charleston RiverDogs	—	87	82	17	2	0	0	4	16	1	1	0	207	253	232	485	24	266	18	5	227	40	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	171	141	38	1	3	0	21	25	4	15	9	270	380	319	699	50	297	15	12	307	94	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	483	422	89	11	0	0	49	95	6	41	8	211	302	237	539	26	264	20	10	249	55	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tampa Bay	—	55	50	6	0	0	0	3	11	0	1	2	120	170	120	290		150	20	5	133	-24	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tampa Bay	—	55	49	8	0	0	0	4	9	0	1	2	163	226	163	390		195	16	7	182	-24	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	153	131	25	3	0	0	11	19	4	18	4	191	274	214	488	23	216	12	7	227	40	—	—	—	—	—	—
2024	18	ROK RAW	DSL Tampa Bay	—	153	126	34	5	0	0	16	15	4	18	4	270	370	310	679	40	296	10	10	306	40	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	258	223	55	3	3	0	25	41	5	16	9	247	336	287	623	40	297	16	10	280	76	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	258	209	59	3	4	0	39	29	5	16	9	282	407	335	742	53	322	11	15	342	76	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	483	422	89	11	0	0	49	95	6	41	8	211	302	237	539	26	270	20	10	249	55	—	—	—	—	—	—
2026	20	A RAW	Charleston RiverDogs	—	483	401	90	12	0	0	69	70	6	41	8	224	346	254	600	30	269	14	14	287	55	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tampa Bay	—	55	52	6	0	0	0	3	11	0	1	2	115	170	115	285		141	20	5	133	-24	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	153	137	25	3	0	0	11	19	4	18	4	182	274	204	478	22	209	12	7	227	40	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	258	226	55	3	3	0	25	41	5	16	9	243	336	283	619	40	287	16	10	280	76	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	483	425	89	11	0	0	49	95	6	41	8	209	302	235	537	26	264	20	10	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Tampa Bay	—	153	137	25	3	0	0	11	19	4	18	4	182	274	204	478	22	209	12	7	227	40	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	258	226	55	3	3	0	25	41	5	16	9	243	336	283	619	40	287	16	10	280	76	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	483	425	89	11	0	0	49	95	6	41	8	209	302	235	537	26	264	20	10	249	55	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TB	0%	579	509	115	15	2	0	58	109	7	20	5	226	312	265	577	39	284	19	10	271	69	-21	+2	+0	+6	+13	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TB	34%	447	394	92	12	2	3	45	83	5	14	4	232	318	291	609	59	285	19	10	283	77	-12	+1	+0	+5	+10	0.4
2029	23	MLB MLE	TB	48%	495	437	104	14	2	5	49	91	6	15	4	237	323	313	635	75	286	18	10	292	84	-9	+1	+0	+5	+11	0.8
2030	24	MLB MLE	TB	53%	551	485	117	16	2	7	55	102	6	16	4	241	326	328	654	87	288	19	10	299	89	-7	+2	+0	+6	+12	1.2
2031	25	MLB MLE	TB	55%	576	508	123	17	2	9	57	107	6	16	4	242	327	338	665	96	288	19	10	303	91	-6	+2	+0	+6	+12	1.5
2032	26	MLB MLE	TB	56%	589	519	126	18	2	10	58	111	7	16	4	243	327	344	671	101	288	19	10	305	93	-5	+2	+0	+6	+13	1.6
2033	27	MLB MLE	TB	55%	589	519	125	17	2	10	59	112	6	15	4	242	326	341	668	99	288	19	10	304	92	-6	+1	+0	+6	+13	1.5
2034	28	MLB MLE	TB	55%	580	511	123	17	2	9	58	111	6	13	4	240	324	337	661	96	287	19	10	302	90	-7	+1	-1	+6	+13	1.3
2035	29	MLB MLE	TB	53%	564	497	119	16	2	9	56	110	6	11	3	238	322	331	653	93	286	20	10	298	88	-8	+1	-1	+6	+12	1.0
2036	30	MLB MLE	TB	53%	551	487	115	16	2	8	54	109	5	10	3	235	319	323	642	88	285	20	10	294	85	-10	+1	-2	+6	+12	0.7
2037	31	MLB MLE	TB	52%	533	471	110	15	2	7	52	108	5	7	4	231	314	314	628	82	283	20	10	288	81	-12	-0	-3	+6	+12	0.2
2038	32	MLB MLE	TB	52%	510	451	102	13	1	6	49	105	5	6	5	227	308	302	610	76	280	21	10	281	76	-14	-1	-4	+5	+11	-0.2
2028	22	MLB CTX	TB	34%	154	136	32	4	1	1	15	29	2	5	1	235	321	293	614	58	289	19	10	285	77	-4	+1	+0	+2	+3	0.1
2029	23	MLB CTX	TB	48%	240	211	50	6	1	2	24	44	3	7	2	240	325	314	640	74	290	18	10	294	84	-5	+1	+0	+3	+5	0.4
2030	24	MLB CTX	TB	53%	291	257	62	8	1	4	29	54	3	8	2	244	328	329	658	86	292	19	10	301	89	-4	+1	+0	+3	+6	0.6
2031	25	MLB CTX	TB	55%	315	277	68	9	1	5	31	59	4	9	2	245	329	339	668	94	292	19	10	305	91	-3	+1	+0	+3	+7	0.8
2032	26	MLB CTX	TB	56%	328	288	71	10	1	5	33	62	4	9	2	246	330	345	674	99	292	19	10	307	93	-3	+1	+0	+4	+7	0.9
2033	27	MLB CTX	TB	55%	324	285	69	9	1	5	32	62	4	8	2	245	329	342	671	97	292	19	10	306	92	-3	+1	+0	+3	+7	0.8
2034	28	MLB CTX	TB	55%	317	280	68	9	1	5	31	61	3	7	2	243	327	338	665	95	291	19	10	303	90	-4	+1	-0	+3	+7	0.7
2035	29	MLB CTX	TB	53%	301	265	64	8	1	5	30	59	3	6	2	241	324	332	656	91	290	20	10	300	88	-4	+0	-1	+3	+7	0.5
2036	30	MLB CTX	TB	53%	290	257	61	8	1	4	28	57	3	5	2	238	321	324	645	86	289	20	10	296	85	-5	+0	-1	+3	+6	0.3
2037	31	MLB CTX	TB	52%	278	246	58	7	1	4	27	56	3	4	2	234	316	315	631	81	287	20	10	290	81	-6	+0	-1	+3	+6	0.1
2038	32	MLB CTX	TB	52%	264	235	54	7	1	3	25	55	2	3	2	229	311	304	614	74	283	21	9	283	76	-7	-0	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3102	2737	657	85	11	43	305	598	34	71	21	240	324	326	650	86	291	19	10	298	82	-48	+6	-6	+33	+67	5.3
/ 162G	—	A+C		—	650	574	138	18	2	9	64	125	7	15	4	240	324	326	650	85	291	19	10	298	82	-10	+1	-1	+7	+14	1.1
Career	—	MLE		—	7144	6290	1473	193	25	83	701	1354	80	222	68	234	319	312	631	78	284	19	10	289	82	-104	+11	-10	+66	+134	10.0
/ 162G	—	MLE		—	650	572	135	18	2	8	64	123	7	20	6	236	320	316	637	80	285	19	10	289	82	-11	+1	-1	+7	+14	1.0

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 ACharleston RiverDogs · 483 PAwOBA .282 → .249 (−33)K% 14.5% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.49%	÷1.000	×1.360	—	—	19.71%
BB% (unintentional) /PA	14.29%	÷1.000	×0.690	—	×1.030	10.15%
HBP% /PA	1.24%	—	×0.780	—	×1.030	1.00%
Singles /BIP	23.56%	÷1.000	×0.920	×1.047	×1.030	23.38%
Doubles /BIP	3.63%	÷1.000	×0.830	×1.047	×1.030	3.24%
Triples /BIP	0.00%	÷1.000	×0.910	×1.047	×1.030	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.030	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 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 ×1.047.

Result: wOBA .282 → .249; ISO .030 → .027; BABIP .269 → .264. 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 ROKFCL Rays · 171 PAwOBA .386 → .307 (−79)K% 9.9% → 14.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.94%	÷0.985	×1.440	—	—	14.54%
BB% (unintentional) /PA	19.30%	÷0.991	×0.620	—	×1.008	12.17%
HBP% /PA	2.34%	—	×0.720	—	×1.008	1.70%
Singles /BIP	32.14%	÷1.018	×0.820	×1.050	×1.008	27.38%
Doubles /BIP	0.89%	÷1.026	×0.720	×1.050	×1.008	0.66%
Triples /BIP	3.57%	÷1.150	×0.720	×1.050	×1.008	2.37%
Home runs /BIP	0.00%	÷0.809	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 62, 1B 104, 2B 105, 3B 130, K 97, BB 98 — 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 ×1.050.

Result: wOBA .386 → .307; ISO .070 → .051; BABIP .357 → .297. 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 ACharleston RiverDogs · 87 PAwOBA .246 → .227 (−20)K% 13.8% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.79%	÷1.006	×1.360	—	—	18.66%
BB% (unintentional) /PA	6.90%	÷0.985	×0.690	—	×1.045	5.05%
HBP% /PA	1.15%	—	×0.780	—	×1.045	0.94%
Singles /BIP	23.53%	÷1.013	×0.920	×1.050	×1.045	23.45%
Doubles /BIP	2.94%	÷0.850	×0.830	×1.050	×1.045	3.15%
Triples /BIP	0.00%	÷1.121	×0.910	×1.050	×1.045	0.00%
Home runs /BIP	0.00%	÷1.159	×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): HR 132, 1B 103, 2B 70, 3B 124, K 101, BB 97 — 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 .246 → .227; ISO .025 → .026; BABIP .265 → .266. 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 Tampa Bay · 153 PAwOBA .307 → .227 (−79)K% 9.8% → 12.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.80%	÷0.975	×1.220	—	—	12.27%
BB% (unintentional) /PA	10.46%	÷1.011	×0.700	—	×1.008	7.30%
HBP% /PA	2.61%	—	×0.700	—	×1.008	1.84%
Singles /BIP	26.13%	÷0.963	×0.680	×1.006	×1.008	18.70%
Doubles /BIP	4.50%	÷0.945	×0.600	×1.006	×1.008	2.90%
Triples /BIP	0.00%	÷0.900	×0.600	×1.006	×1.008	0.00%
Home runs /BIP	0.00%	÷0.982	×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 96, 1B 93, 2B 89, 3B 80, K 95, 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 ×1.006.

Result: wOBA .307 → .227; ISO .040 → .028; BABIP .296 → .209. 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 Tampa Bay · 55 PAwOBA .181 → .133 (−49)K% 16.4% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.36%	÷0.999	×1.220	—	—	19.98%
BB% (unintentional) /PA	7.27%	÷1.025	×0.700	—	×1.022	5.08%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	20.00%	÷0.963	×0.680	×1.003	×1.022	14.48%
Doubles /BIP	0.00%	÷1.106	×0.600	×1.003	×1.022	0.00%
Triples /BIP	0.00%	÷1.061	×0.600	×1.003	×1.022	0.00%
Home runs /BIP	0.00%	÷1.121	×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 124, 1B 93, 2B 121, 3B 112, K 100, BB 105 — 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 ×1.003.

Result: wOBA .181 → .133; ISO .000 → .000; BABIP .195 → .141. 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
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#5Jose 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.0	3,310	44	79	238	319	324	+35	+21	7.7	7.0
/162	664	9	16	+7.1	+4.2	1.5	pk7: 6
#6Kevin Stocker'93-'00 * career totals — 8 seasons, 3,197 PA	4.8	3,197	23	45	241*	324*	337*	+34	+8	6.4	6.5
/162	664	5	9	+7.1	+1.8	1.3	pk7: 7

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
Alberth Palma (OGILVIE)	21	60	20	60	60	224/310/262	38	284	0	7	19%	10%	69	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ricardo Ferreira 2016 · A	21	52	35→30	60	58	235/338/301	66	307	2	25	21%	12%	88	+0.5	219/281/293	74	322	4	19	30%	7%	64	-1.3	223/263/298	74	316	6	25	30%	5%	55	-0.6
✕Yonny Hernández 2019 · AA	21	49→59	35→30	56→60	53	229/308/291	62	282	2	27	18%	9%	74	-0.5	240/331/296	56	307	2	27	20%	10%	84	+0.2	266/328/324	58	317	2	17	16%	7%	85	+0.1
✕Isaias Velasquez 2009 · A	21	46→56	34→40	54→55	47	213/274/267	54	268	2	19	20%	7%	55	-1.9	244/294/325	81	309	2	16	20%	6%	76	-0.4	253/305/340	87	316	2	19	19%	6%	80	-0.1
✕Luis Durango 2024 · A	21	47	35→30	57→70	48	219/296/278	59	287	3	29	23%	8%	68	-1.0	227/289/285	58	305	2	36	24%	5%	65	-1.2	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Adrian Pinto 2024 · A	21	48	38→45	56→65	53	222/315/303	82	283	4	25	21%	10%	81	-0.1	237/306/380	143	292	14	11	23%	8%	95	+0.9	237/306/381	144	288	10	4	20%	8%	90	+0.2
✕Luis Durango 2008 · A	22	53→63	35→30	51→60	53	247/320/306	59	295	2	17	16%	8%	82	-0.0	276/341/323	47	333	1	22	16%	9%	93	+0.8	289/354/322	33	347	0	30	15%	9%	94	+0.8
✕Jamal Austin 2012 · A	21	54→55	34→30	51→55	48	249/300/303	54	291	2	17	15%	6%	73	-0.6	246/285/303	57	299	2	22	17%	5%	67	-1.1	249/286/306	57	300	2	26	17%	4%	66	-0.9
✕Nate Furman 2024 · A	23	51→56	34→40	57→55	56	232/325/284	52	281	1	24	17%	10%	80	-0.1	256/335/354	98	305	9	18	18%	9%	99	+1.2	273/347/381	108	317	11	17	16%	9%	106	+0.9
●Emilio Bonifácio 2006 · A	21	52→62	35→40	57→65	46	242/294/303	61	308	2	26	21%	7%	70	-0.8	268/310/349	81	345	4	30	22%	6%	87	+0.4	272/337/355	83	348	3	41	21%	9%	98	+0.9
✕Carlos Mendoza 2022 · A	22	52→56	37→40	55	58	239/338/313	74	288	3	18	17%	11%	91	+0.7	238/338/308	70	305	3	14	20%	11%	91	+0.6	246/335/334	88	300	7	18	19%	10%	93	+0.6
✕Derrik Gibson 2011 · A	21	44→54	35→40	55	46	205/269/266	61	272	2	21	24%	7%	53	-2.1	213/271/270	57	291	2	17	25%	7%	55	-2.0	246/312/318	73	319	3	11	22%	8%	79	-0.1
✕Osleivis Basabe 2022 · A	21	52→62	38→45	56→50	45	246/290/332	86	302	5	15	20%	6%	76	-0.4	264/309/368	104	320	5	15	18%	5%	91	+0.7	268/314/373	105	323	5	15	18%	5%	91	+0.5
●Brett Bateman 2024 · A	22	51→61	37→30	54→55	55	238/324/309	70	307	4	18	22%	11%	84	+0.2	252/333/313	61	337	3	21	23%	11%	88	+0.5	267/352/328	61	355	3	23	23%	11%	96	+0.8
✕Nick Morabito 2024 · A	21	48→58	37→40	55→65	44	217/297/293	76	324	4	18	32%	8%	71	-0.8	250/316/335	85	345	6	36	27%	7%	87	+0.4	255/322/343	88	346	7	42	26%	7%	88	+0.4
✕Jesus Castillo 2024 · A	21	46→43	34→30	52→50	57	210/318/255	45	283	2	21	24%	12%	72	-0.7	208/292/260	52	295	3	17	28%	9%	62	-1.4	210/275/254	44	298	4	15	29%	7%	50	-1.1
✕Jose Astudillo 2024 · A	20	48	36→40	56→55	49	219/274/288	69	247	2	17	12%	6%	60	-1.6	247/295/323	76	282	4	15	13%	5%	76	-0.4	286/330/370	84	318	6	21	12%	5%	96	+0.5
✕Myles Straw 2016 · A	21	45→55	35→40	51→60	43	210/267/273	63	303	2	17	30%	7%	54	-2.0	260/320/324	64	352	1	25	24%	8%	85	+0.2	269/341/331	63	343	2	39	20%	10%	93	+0.8
✕Davis Bradshaw 2019 · A	21	52	37→40	59→50	45	244/299/321	78	309	3	20	21%	6%	77	-0.3	225/271/288	63	293	2	11	23%	4%	59	-1.7	271/323/338	67	341	3	10	20%	5%	87	+0.2
●Xavier Edwards 2021 · A	21	54→64	36→40	55→60	48	254/298/320	66	296	2	19	15%	6%	76	-0.4	258/312/332	74	311	4	20	17%	7%	84	+0.1	308/366/390	82	353	4	36	13%	8%	116	+2.2
✕Eddy Diaz 2021 · A	21	46→53	37→40	58→65	52	214/284/293	79	254	3	26	16%	8%	65	-1.2	219/277/283	64	305	3	29	27%	5%	61	-1.5	209/270/269	60	291	3	31	27%	5%	52	-1.3

Alberth Palma

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps