Daniel Flames

SS Hickory Crawdads

Age 20 S/R 5'8" / 160 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2259ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Rangers R…	245	.329/.531/.400	0	14	97	—	.219/.399/.257
2025	18	A/ROKTEX	42	.237/.310/.289	0	1	37	—	.231/.286/.283
2026	19	ATEX	357	.256/.343/.321	1	6	58	—	.223/.289/.276
2027PROJMLE	20	MLBTEX	467	.195/.262/.263	3	8	50	-0.4
2028PROJ34% MLB	21	MLBTEX	108	.201/.270/.286	1	2	58	-0.2
2029PROJ48% MLB	22	MLBTEX	197	.207/.277/.306	3	4	65	-0.1

Next 3 projected WAR -0.7Projected 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

Z-Con%80

Whiff%58

K%47

wRC+38

Speed37

wOBA36

Career WAR0.0 WAR median (P10 -0.2 / P90 2.9, comp-based) · star 1% · didn't stick 87%

CompsJavier Herrera (age 19) · Emmanuel Morel (age 20) · Juan Mosquera (age 19)

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

wRC+†50

AVG/OBP/SLG.193 / .260 / .260

PA210

HR1

K%29

BB%7

ISO68

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 32 / POW 34

Toolsscout grade

CONTACT32

scouting grade only

POWER34

scouting grade only

EYE52

scouting grade only

SPEED51

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.8M	—	—	—
2036	Arb-2	$0.7M	—	—	—
2037	Arb-3	$0.6M	—	—	—
Totals		$2M		$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 Rangers Red	—	245	170	56	8	2	0	63	37	10	14	6	329	531	400	931	71	418	15	26	434	97	—	—	—	—	—	—
2025	18	A	Hickory Crawdads	—	26	23	7	2	0	0	3	3	0	1	0	304	385	391	776	87	350	12	12	353	81	—	—	—	—	—	—
2025	18	ROK	ACL Rangers	—	16	15	2	0	0	0	0	3	1	0	0	133	188	133	321		167	19	0	159	-35	—	—	—	—	—	—
2026	19	A	Hickory Crawdads	—	357	312	80	15	1	1	37	88	4	6	3	256	343	321	663	64	351	25	10	305	58	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rangers Red	—	245	187	41	5	1	0	46	47	10	14	6	219	399	257	656	37	284	19	19	311	97	—	—	—	—	—	—
2025	18	A MLE	Hickory Crawdads	—	26	24	7	2	0	0	2	4	0	1	0	292	346	375	721	83	317	15	8	288	81	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	16	15	2	0	0	0	0	4	1	0	0	133	188	133	321		139	25	0	116	-35	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	357	323	72	12	1	1	26	120	4	6	3	223	289	276	564	53	342	34	7	254	58	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	245	187	41	5	1	0	46	47	10	14	6	219	399	257	656	37	291	19	19	311	97	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rangers Red	—	245	170	56	8	2	0	63	37	10	14	6	329	531	400	931	71	418	15	26	434	97	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	42	39	8	2	0	0	2	9	1	1	0	205	262	256	518	51	267	21	5	222	37	—	—	—	—	—	—
2025	18	A RAW	2 teams	—	42	38	9	2	0	0	3	6	1	1	0	237	310	289	599	53	281	14	7	279	37	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	357	323	72	12	1	1	26	120	4	6	3	223	289	276	564	53	348	34	7	254	58	—	—	—	—	—	—
2026	19	A RAW	Hickory Crawdads	—	357	312	80	15	1	1	37	88	4	6	3	256	343	321	663	64	351	25	10	305	58	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	245	187	41	5	1	0	46	47	10	14	6	219	399	257	656	37	284	19	19	311	97	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	42	39	8	2	0	0	2	9	1	1	0	205	262	256	518	51	249	21	5	222	37	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	357	324	72	12	1	1	26	120	4	6	3	222	289	275	564	52	342	34	7	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Rangers Red	—	245	187	41	5	1	0	46	47	10	14	6	219	399	257	656	37	284	19	19	311	97	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	42	39	8	2	0	0	2	9	1	1	0	205	262	256	518	51	249	21	5	222	37	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	357	324	72	12	1	1	26	120	4	6	3	222	289	275	564	52	342	34	7	254	58	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TEX	0%	467	425	83	17	2	3	34	135	5	8	2	195	262	263	525	68	275	29	7	242	50	-28	+1	+0	+5	+10	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TEX	34%	314	284	56	11	1	3	24	89	3	6	2	201	270	285	556	84	277	28	8	254	58	-16	+0	+0	+3	+7	-0.5
2029	22	MLB MLE	TEX	48%	407	369	77	15	2	6	31	113	4	8	2	207	277	304	581	97	279	28	8	264	65	-17	+1	+0	+4	+9	-0.3
2030	23	MLB MLE	TEX	54%	455	412	88	17	2	8	35	124	5	9	3	212	282	317	599	105	281	27	8	272	70	-16	+1	+0	+5	+10	-0.1
2031	24	MLB MLE	TEX	55%	501	452	97	19	2	9	39	135	5	10	3	215	286	327	612	112	282	27	8	277	74	-16	+1	+0	+5	+11	0.1
2032	25	MLB MLE	TEX	56%	523	471	102	20	2	10	41	139	6	10	3	217	288	333	621	116	283	27	8	280	76	-15	+1	+0	+6	+11	0.3
2033	26	MLB MLE	TEX	56%	533	480	104	20	2	10	42	142	6	10	3	217	288	333	621	116	282	27	8	281	76	-15	+1	+0	+6	+12	0.3
2034	27	MLB MLE	TEX	60%	534	481	104	20	2	10	42	143	6	10	3	216	287	331	618	114	282	27	8	279	75	-16	+1	+0	+6	+12	0.2
2035	28	MLB MLE	TEX	62%	528	476	102	20	2	10	42	143	5	9	3	214	285	326	611	112	281	27	8	277	73	-17	+1	-1	+6	+11	0.0
2036	29	MLB MLE	TEX	63%	517	466	99	19	2	9	41	141	5	8	3	212	283	320	603	108	280	27	8	273	71	-18	+0	-1	+6	+11	-0.2
2037	30	MLB MLE	TEX	63%	504	455	95	18	2	8	39	139	5	7	3	209	279	313	592	104	279	28	8	269	68	-19	+0	-2	+5	+11	-0.5
2028	21	MLB CTX	TEX	34%	108	98	19	4	0	1	8	31	1	2	1	201	270	286	557	85	276	29	7	255	58	-5	+0	+0	+1	+2	-0.2
2029	22	MLB CTX	TEX	48%	197	178	37	7	1	3	15	55	2	4	1	207	277	306	583	98	278	28	8	265	65	-8	+0	+0	+2	+4	-0.1
2030	23	MLB CTX	TEX	54%	247	223	47	9	1	4	19	67	3	5	1	212	282	320	602	108	280	27	8	273	70	-9	+1	+0	+3	+5	-0.0
2031	24	MLB CTX	TEX	55%	278	251	53	10	1	5	22	75	3	5	2	216	286	330	616	115	281	27	8	279	74	-9	+0	+0	+3	+6	0.0
2032	25	MLB CTX	TEX	56%	293	265	58	11	1	6	23	78	3	6	2	218	289	337	625	119	282	27	8	282	76	-8	+0	+0	+3	+6	0.2
2033	26	MLB CTX	TEX	56%	300	270	58	11	1	6	24	80	3	6	2	218	289	337	626	119	282	27	8	282	76	-9	+0	+0	+3	+6	0.2
2034	27	MLB CTX	TEX	60%	318	287	63	12	1	7	25	85	3	6	2	217	288	334	622	118	281	27	8	281	75	-9	+0	+0	+3	+7	0.1
2035	28	MLB CTX	TEX	62%	326	294	63	12	1	6	26	88	3	5	2	215	286	330	616	115	281	27	8	278	73	-10	+0	-0	+3	+7	-0.0
2036	29	MLB CTX	TEX	63%	324	292	62	12	1	6	26	88	3	5	2	213	283	324	607	111	279	27	8	275	71	-11	+0	-1	+3	+7	-0.1
2037	30	MLB CTX	TEX	63%	320	289	61	11	1	6	25	88	3	4	2	210	280	316	596	106	278	28	8	270	68	-12	+0	-1	+3	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2711	2447	521	99	9	50	213	735	27	48	17	213	283	322	605	109	281	27	8	276	71	-91	+3	-3	+29	+59	-0.3
/ 162G	—	A+C		—	650	587	125	24	2	12	51	176	6	12	4	213	283	322	605	109	280	27	8	276	71	-22	+1	-1	+7	+14	-0.1
Career	—	MLE		—	5670	5086	1082	206	22	85	465	1545	67	112	38	213	287	312	599	99	286	27	8	272	71	-177	+7	-4	+54	+109	-1.2
/ 162G	—	MLE		—	650	583	125	24	3	10	53	177	8	13	4	214	289	317	606	103	287	27	8	272	71	-23	+1	-1	+7	+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 AHickory Crawdads · 357 PAwOBA .299 → .254 (−45)K% 24.6% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.65%	÷1.000	×1.360	—	—	33.52%
BB% (unintentional) /PA	10.36%	÷1.000	×0.690	—	×1.030	7.37%
HBP% /PA	1.12%	—	×0.780	—	×1.030	0.90%
Singles /BIP	28.12%	÷1.000	×0.920	×1.050	×1.030	27.98%
Doubles /BIP	6.70%	÷1.000	×0.830	×1.050	×1.030	6.01%
Triples /BIP	0.45%	÷1.000	×0.910	×1.050	×1.030	0.44%
Home runs /BIP	0.45%	÷1.000	×0.800	—	×1.030	0.37%

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 ×1.050.

Result: wOBA .299 → .254; ISO .064 → .053; BABIP .351 → .342. 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 AHickory Crawdads · 26 PAwOBA .345 → .288 (−56)K% 11.5% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.54%	÷0.981	×1.360	—	—	16.00%
BB% (unintentional) /PA	11.54%	÷1.051	×0.690	—	×1.045	7.92%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	25.00%	÷1.002	×0.920	—	×1.045	23.99%
Doubles /BIP	10.00%	÷1.123	×0.830	—	×1.045	7.72%
Triples /BIP	0.00%	÷1.039	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.037	×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 107, 1B 100, 2B 125, 3B 108, K 96, BB 110 — 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).

Result: wOBA .345 → .288; ISO .087 → .066; BABIP .350 → .317. 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 Rangers · 16 PAwOBA .155 → .116 (−39)K% 18.8% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷0.981	×1.440	—	—	27.53%
BB% (unintentional) /PA	0.00%	÷1.016	×0.620	—	×1.008	0.00%
HBP% /PA	6.25%	—	×0.720	—	×1.008	4.53%
Singles /BIP	16.67%	÷0.991	×0.820	—	×1.008	13.89%
Doubles /BIP	0.00%	÷1.017	×0.720	—	×1.008	0.00%
Triples /BIP	0.00%	÷1.138	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.302	×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 160, 1B 98, 2B 103, 3B 128, K 96, BB 103 — 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).

Result: wOBA .155 → .116; ISO .000 → .000; BABIP .167 → .139. 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 Rangers Red · 245 PAwOBA .427 → .311 (−116)K% 15.1% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.10%	÷0.969	×1.220	—	—	19.02%
BB% (unintentional) /PA	25.71%	÷0.976	×0.700	—	×1.008	18.58%
HBP% /PA	4.08%	—	×0.700	—	×1.008	2.88%
Singles /BIP	34.59%	÷1.025	×0.680	×1.043	×1.008	24.11%
Doubles /BIP	6.02%	÷1.032	×0.600	×1.043	×1.008	3.67%
Triples /BIP	1.50%	÷1.150	×0.600	×1.043	×1.008	0.82%
Home runs /BIP	0.00%	÷1.333	×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 167, 1B 105, 2B 106, 3B 130, K 94, BB 95 — 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 ×1.043.

Result: wOBA .427 → .311; ISO .071 → .046; BABIP .418 → .284. 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
#1Ed Brinkman'61-'75 * career totals — 14 seasons, 6,640 PA	10.0	6,640	60	30	229*	284*	330*	+70	+51	6.5	9.2
/162	664	6	3	+7.0	+5.1	0.7	pk7: 12
#2Gene 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
#3Ronny 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
#4Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.4	2,920	49	52	213	280	319	+31	+21	1.3	1.6
/162	664	11	12	+7.1	+4.8	0.3	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Daniel Flames (OGILVIE)	20	27→32	29→34	46→51	52	193/260/260	68	275	1	4	29%	7%	50	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Emmanuel Morel 2017 · A	20	37	34→30	50→55	47	174/257/225	52	263	1	15	32%	10%	41	-3.0	194/259/259	65	313	2	13	36%	7%	49	-2.4	182/247/231	49	295	0	21	35%	6%	35	-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
✕Terry Serrano 2007 · A	20	37	34→30	48→55	50	173/257/224	51	239	2	16	26%	10%	41	-3.0	185/260/242	57	252	2	15	25%	9%	45	-2.7	181/264/235	54	253	2	17	26%	10%	44	-1.1
✕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
✕Junior Valera 2013 · A	20	39	35→40	51→60	48	185/259/249	64	246	2	10	24%	8%	47	-2.6	211/277/289	78	267	3	18	20%	8%	62	-1.4	220/287/304	84	270	3	28	18%	8%	65	-0.4
✕Hansel Moreno 2017 · A	20	40→33	36→40	49→50	44	188/243/254	66	251	3	10	25%	7%	40	-3.0	199/245/290	91	293	7	15	33%	5%	50	-2.3	187/232/280	92	282	9	18	36%	5%	41	-1.7
✕Alejandro Flores 2016 · A	20	36	39→50	45→40	43	179/246/260	81	255	6	5	31%	8%	45	-2.7	204/264/306	102	299	8	6	32%	7%	61	-1.5	206/261/337	132	279	11	4	29%	6%	64	-0.6
✕Raymel Flores 2015 · A	20	39	36→45	49→50	43	180/261/252	71	278	2	10	33%	8%	49	-2.4	198/250/274	76	300	5	10	34%	6%	48	-2.5	186/237/250	64	284	4	11	34%	5%	35	-1.3
✕Pablo Aliendo 2021 · A	20	38	36→50	50→45	44	181/261/246	65	268	3	13	31%	8%	47	-2.5	202/271/300	98	303	9	5	34%	6%	63	-1.3	206/275/350	144	296	17	5	34%	7%	73	-0.3
✕Alan Schoenberger 2009 · A	20	39	36→45	46→45	43	184/250/254	70	278	2	6	32%	8%	44	-2.8	195/249/280	85	296	5	7	34%	6%	49	-2.4	186/235/273	87	273	6	5	33%	5%	40	-1.5
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1
✕Rodolfo Penalo 2013 · A	20	38	35→30	51→65	50	176/248/238	62	212	2	18	18%	8%	40	-3.1	199/280/263	64	250	2	26	19%	9%	57	-1.8	195/284/251	56	248	1	34	20%	10%	54	-0.7
✕Allan Castro 2023 · A	20	37→45	40→45	54→50	42	182/250/279	97	263	6	9	32%	7%	50	-2.3	207/280/322	115	282	9	13	28%	9%	71	-0.8	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Jose Acosta 2019 · A	19	37	36→45	53→55	50	177/255/242	65	229	3	14	23%	9%	44	-2.8	224/287/320	96	315	6	19	28%	7%	73	-0.6	208/269/327	119	312	11	21	35%	6%	65	-0.5
✕Raimundo De Los Santos 2024 · A	19	40	34→40	53→55	46	186/261/233	47	268	2	14	29%	8%	44	-2.8	194/271/245	51	308	2	22	34%	9%	51	-2.3	191/274/238	46	312	3	30	36%	10%	47	-0.9
✕Milkar Perez 2021 · A	19	40	37→40	45→40	48	193/268/266	72	257	5	8	25%	8%	54	-2.0	202/294/259	57	308	2	4	31%	11%	63	-1.4	211/289/291	80	310	4	2	30%	9%	66	-0.7
✕Jan Vázquez 2011 · A	20	41	35→40	46→45	39	190/257/253	64	297	2	5	34%	6%	47	-2.5	199/256/267	68	291	5	6	31%	6%	49	-2.4	217/296/305	87	288	7	7	25%	7%	70	-0.3
✕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
✕Ismael Alcantara 2019 · A	20	36→30	38→45	50	43	177/250/254	77	257	5	13	32%	7%	45	-2.7	207/272/309	102	322	8	15	36%	7%	65	-1.2	191/253/307	116	283	12	16	35%	6%	55	-0.9

Daniel Flames

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps