Adrian Santana

SS Bowling Green Hot Rods

Age 22 S/R 5'11" / 155 lbs A+ HR -6%H +4% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP40OGV rank#392ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ATB	455	.240/.300/.305	0	51	35	—	.196/.241/.245
2025	20	A+TB	409	.263/.329/.326	2	47	55	—	.230/.274/.283
2026	21	AA/A+2 orgs	383	.290/.361/.367	3	30	83	—	.272/.324/.343
2027PROJMLE	22	MLBTB	1	.238/.287/.301	0	0	65	-0.0
2028PROJ35% MLB	23	MLBTB	123	.244/.294/.323	1	6	73	0.1
2029PROJ46% MLB	24	MLBTB	190	.247/.299/.338	3	8	79	0.4

Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$3M2032Arb-2$5M2033Arb-3$6M

Skills · percentileMiLB Statcast 2026 AA

Whiff%99

K%95

Z-Con%95

Speed74

Chase%47

BB%45

Career WAR0.0 WAR median (P10 -0.4 / P90 14, comp-based) · star 6% · didn't stick 78%

CompsYonny Hernández (age 21) · Rodolfo Penalo (age 22) · Jesus Galindo (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†65

AVG/OBP/SLG.238 / .287 / .301

PA1

HR0

K%16

BB%6

BABIP278

ISO62

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$5M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2031	Arb-1	$3M	+0.6	$2M	+$0.0M (cut)
2032	Arb-2	$5M	+0.6	$2M	+$0.0M (cut)
2033	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$2M		$8M	+$2M

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	18	ROK	FCL Rays	—	47	39	8	2	0	0	7	9	1	3	0	205	340	256	597	51	267	19	15	290	26	—	—	—	—	—	—
2024	19	A	Charleston RiverDogs	—	455	417	100	21	3	0	34	72	2	51	9	240	300	305	605	65	289	16	7	276	35	—	—	—	—	—	—
2025	20	A+	Bowling Green Hot Rods	—	409	365	96	13	2	2	35	49	1	47	8	263	329	326	655	63	293	12	9	295	55	—	—	—	—	—	—
2026	21	AA	Pensacola Blue Wahoos	—	142	126	31	8	0	0	14	20	1	7	0	246	326	310	636	63	292	14	10	293	68	—	—	—	—	—	—
2026	21	A+	Bowling Green Hot Rods	—	241	215	68	7	1	3	19	23	4	23	5	316	381	400	781	84	342	10	8	351	92	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	FCL Rays	—	47	41	6	1	0	0	5	13	1	3	0	146	255	171	426	24	217	28	11	207	26	—	—	—	—	—	—
2024	19	A MLE	Charleston RiverDogs	—	455	428	84	17	2	0	23	99	2	51	9	196	241	245	486	49	256	22	5	220	35	—	—	—	—	—	—
2025	20	A+ MLE	Bowling Green Hot Rods	—	409	378	87	10	2	2	22	63	1	47	8	230	274	283	557	53	259	15	5	249	55	—	—	—	—	—	—
2026	21	AA MLE	Pensacola Blue Wahoos	—	142	130	31	8	0	0	10	24	1	7	0	238	298	300	598	62	296	17	7	269	68	—	—	—	—	—	—
2026	21	A+ MLE	Bowling Green Hot Rods	—	241	223	65	6	1	3	12	30	4	23	5	291	339	368	707	76	317	12	5	304	92	—	—	—	—	—	—
2023	18	ROK MLE	FCL Rays	—	47	41	6	1	0	0	5	13	1	3	0	146	255	171	426	24	214	28	11	207	26	—	—	—	—	—	—
2023	18	ROK RAW	FCL Rays	—	47	39	8	2	0	0	7	9	1	3	0	205	340	256	597	51	267	19	15	290	26	—	—	—	—	—	—
2024	19	A MLE	Charleston RiverDogs	—	455	428	84	17	2	0	23	99	2	51	9	196	241	245	486	49	255	22	5	220	35	—	—	—	—	—	—
2024	19	A RAW	Charleston RiverDogs	—	455	417	100	21	3	0	34	72	2	51	9	240	300	305	605	65	289	16	7	276	35	—	—	—	—	—	—
2025	20	A+ MLE	Bowling Green Hot Rods	—	409	378	87	10	2	2	22	63	1	47	8	230	274	283	557	53	266	15	5	249	55	—	—	—	—	—	—
2025	20	A+ RAW	Bowling Green Hot Rods	—	409	365	96	13	2	2	35	49	1	47	8	263	329	326	655	63	293	12	9	295	55	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	383	353	96	14	1	3	22	55	5	30	5	272	324	343	666	71	314	14	6	291	83	—	—	—	—	—	—
2026	21	A+ RAW	2 teams	—	383	341	99	15	1	3	33	43	5	30	5	290	361	367	727	76	324	11	9	330	83	—	—	—	—	—	—
2023	18	ROK MLE	FCL Rays	—	47	41	6	1	0	0	5	13	1	3	0	146	255	171	426	24	217	28	11	207	26	—	—	—	—	—	—
2024	19	A MLE	Charleston RiverDogs	—	455	427	84	17	2	0	23	99	2	51	9	197	241	246	487	49	256	22	5	220	35	—	—	—	—	—	—
2025	20	A+ MLE	Bowling Green Hot Rods	—	409	383	87	10	2	2	22	63	1	47	8	227	274	279	554	52	259	15	5	249	55	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	383	353	96	14	1	3	22	55	5	30	5	272	324	343	666	71	309	14	6	291	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Charleston RiverDogs	—	455	427	84	17	2	0	23	99	2	51	9	197	241	246	487	49	256	22	5	220	35	—	—	—	—	—	—
2025	20	A+ MLE	Bowling Green Hot Rods	—	409	383	87	10	2	2	22	63	1	47	8	227	274	279	554	52	259	15	5	249	55	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	383	353	96	14	1	3	22	55	5	30	5	272	324	343	666	71	309	14	6	291	83	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TB	0%	493	459	108	17	2	3	28	77	3	24	4	235	284	299	583	64	275	16	6	265	65	-20	+3	+0	+5	+11	0.1
▸ 2027 — real world (MLB)
2027	22	MLB CTX	TB	0%	1	1	0	0	0	0	0	0	0	0	0	238	287	301	588	63	278	0	0	267	65	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TB	35%	356	329	79	12	1	4	21	55	3	16	3	241	291	322	613	81	276	15	6	277	73	-11	+2	+1	+4	+8	0.3
2029	24	MLB MLE	TB	46%	411	380	93	14	2	6	25	64	3	17	3	244	296	337	633	93	278	16	6	285	79	-10	+2	+2	+4	+9	0.7
2030	25	MLB MLE	TB	52%	439	405	100	16	2	7	28	70	3	17	3	246	299	346	646	101	279	16	6	290	82	-9	+2	+3	+5	+10	1.0
2031	26	MLB MLE	TB	54%	453	418	103	16	2	8	29	74	3	17	3	246	301	351	652	105	279	16	6	293	84	-9	+2	+3	+5	+10	1.2
2032	27	MLB MLE	TB	54%	456	420	102	16	2	8	30	76	3	15	3	245	301	352	653	106	280	17	7	293	84	-8	+2	+3	+5	+10	1.1
2033	28	MLB MLE	TB	54%	454	418	102	16	2	8	30	77	3	13	2	244	299	347	646	104	279	17	7	290	83	-9	+2	+2	+5	+10	1.0
2034	29	MLB MLE	TB	53%	444	409	99	16	2	7	29	76	3	11	2	241	296	342	638	100	278	17	7	287	80	-10	+1	+2	+5	+10	0.7
2035	30	MLB MLE	TB	52%	432	398	95	15	1	7	28	76	3	9	2	239	293	334	627	96	277	18	6	282	77	-12	+1	+1	+5	+9	0.4
2036	31	MLB MLE	TB	52%	416	384	90	14	1	6	26	75	3	6	2	235	288	325	613	90	274	18	6	277	73	-13	+0	-0	+4	+9	0.1
2028	23	MLB CTX	TB	35%	123	114	27	4	0	1	7	19	1	6	1	244	294	323	617	80	280	15	6	279	73	-4	+1	+0	+1	+3	0.1
2029	24	MLB CTX	TB	46%	190	175	44	7	1	3	12	30	1	8	1	247	299	338	637	91	282	16	6	287	79	-5	+1	+1	+2	+4	0.4
2030	25	MLB CTX	TB	52%	227	209	53	8	1	4	14	36	2	9	2	249	302	347	649	99	282	16	6	292	82	-5	+1	+2	+2	+5	0.5
2031	26	MLB CTX	TB	54%	246	226	56	9	1	4	16	40	2	9	2	249	303	352	655	103	283	16	7	294	84	-5	+1	+2	+3	+5	0.6
2032	27	MLB CTX	TB	54%	247	227	56	9	1	4	16	41	2	8	1	248	303	352	655	104	283	17	6	294	84	-5	+1	+2	+3	+5	0.6
2033	28	MLB CTX	TB	54%	246	226	56	9	1	4	16	42	2	7	1	246	301	348	649	102	282	17	7	292	83	-5	+1	+1	+3	+5	0.5
2034	29	MLB CTX	TB	53%	236	217	53	8	1	4	15	41	2	6	1	244	299	342	641	98	281	17	6	288	80	-6	+1	+1	+3	+5	0.4
2035	30	MLB CTX	TB	52%	226	208	50	8	1	3	15	40	1	5	1	241	295	335	630	94	280	18	7	284	77	-6	+1	+0	+2	+5	0.2
2036	31	MLB CTX	TB	52%	216	199	47	7	1	3	14	39	1	3	1	237	291	326	616	89	278	18	6	278	73	-7	+0	-0	+2	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1957	1801	442	69	8	30	125	328	14	61	11	245	299	343	642	97	284	17	6	288	73	-46	+8	+8	+21	+42	3.4
/ 162G	—	A+C		—	650	598	147	23	3	10	42	109	5	20	4	246	301	344	646	99	284	17	6	288	73	-15	+3	+3	+7	+14	1.1
Career	—	MLE		—	5365	4956	1182	184	21	67	330	906	37	262	47	238	291	325	616	86	278	17	6	277	73	-101	+16	+17	+44	+88	6.5
/ 162G	—	MLE		—	650	600	143	22	3	8	40	110	4	32	6	238	290	325	615	87	278	17	6	277	73	-16	+3	+3	+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 A+Bowling Green Hot Rods · 241 PAwOBA .344 → .304 (−40)K% 9.5% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.54%	÷1.000	×1.310	—	—	12.50%
BB% (unintentional) /PA	7.88%	÷1.000	×0.600	—	×1.027	4.86%
HBP% /PA	1.66%	—	×0.770	—	×1.027	1.31%
Singles /BIP	29.69%	÷1.000	×0.870	×1.050	×1.027	27.85%
Doubles /BIP	3.65%	÷1.000	×0.780	×1.050	×1.027	3.07%
Triples /BIP	0.52%	÷1.000	×0.850	×1.050	×1.027	0.48%
Home runs /BIP	1.56%	÷1.000	×0.880	—	×1.027	1.41%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .344 → .304; ISO .084 → .075; BABIP .342 → .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).

2026 AAPensacola Blue Wahoos · 142 PAwOBA .286 → .269 (−16)K% 14.1% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.08%	÷1.000	×1.220	—	—	17.18%
BB% (unintentional) /PA	9.86%	÷1.000	×0.680	—	×1.050	7.04%
HBP% /PA	0.70%	—	×0.840	—	×1.050	0.62%
Singles /BIP	21.70%	÷1.000	×0.920	×1.050	×1.050	22.01%
Doubles /BIP	7.55%	÷1.000	×0.910	×1.050	×1.050	7.57%
Triples /BIP	0.00%	÷1.000	×0.880	×1.050	×1.050	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.050	0.00%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .286 → .269; ISO .063 → .064; BABIP .292 → .296. 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 A+Bowling Green Hot Rods · 409 PAwOBA .293 → .249 (−44)K% 12.0% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.98%	÷1.023	×1.310	—	—	15.34%
BB% (unintentional) /PA	8.56%	÷0.965	×0.600	—	×1.042	5.54%
HBP% /PA	0.24%	—	×0.770	—	×1.042	0.20%
Singles /BIP	25.00%	÷1.005	×0.870	×1.003	×1.042	22.61%
Doubles /BIP	4.11%	÷1.066	×0.780	×1.003	×1.042	3.14%
Triples /BIP	0.63%	÷0.996	×0.850	×1.003	×1.042	0.56%
Home runs /BIP	0.63%	÷0.930	×0.880	—	×1.042	0.62%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 86, 1B 101, 2B 113, 3B 99, K 105, BB 93 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .293 → .249; ISO .063 → .054; BABIP .293 → .259. 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 ACharleston RiverDogs · 455 PAwOBA .270 → .220 (−50)K% 15.8% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.82%	÷0.985	×1.360	—	—	21.84%
BB% (unintentional) /PA	7.47%	÷1.047	×0.690	—	×1.045	5.15%
HBP% /PA	0.44%	—	×0.780	—	×1.045	0.36%
Singles /BIP	22.03%	÷1.071	×0.920	×0.997	×1.045	19.71%
Doubles /BIP	6.09%	÷1.017	×0.830	×0.997	×1.045	5.18%
Triples /BIP	0.87%	÷1.099	×0.910	×0.997	×1.045	0.75%
Home runs /BIP	0.00%	÷0.824	×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 65, 1B 114, 2B 103, 3B 120, K 97, BB 109 — 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 ×0.997.

Result: wOBA .270 → .220; ISO .065 → .053; BABIP .289 → .256. 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 ROKFCL Rays · 47 PAwOBA .283 → .207 (−77)K% 19.1% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.15%	÷0.999	×1.440	—	—	27.60%
BB% (unintentional) /PA	14.89%	÷0.948	×0.620	—	×1.022	9.95%
HBP% /PA	2.13%	—	×0.720	—	×1.022	1.57%
Singles /BIP	20.00%	÷0.996	×0.820	—	×1.022	16.84%
Doubles /BIP	6.67%	÷1.020	×0.720	—	×1.022	4.81%
Triples /BIP	0.00%	÷1.150	×0.720	—	×1.022	0.00%
Home runs /BIP	0.00%	÷0.911	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 99, 2B 104, 3B 130, K 100, BB 90 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).

Result: wOBA .283 → .207; ISO .051 → .035; BABIP .267 → .217. 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
#1Cliff 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
#2Adeiny 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
#3Jose 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
#4Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
#5Ronny 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
#6Pokey Reese'97-'04 * career totals — 8 seasons, 3,138 PA	4.7	3,138	44	144	238*	292*	339*	+19	+41	4.0	4.7
/162	664	9	30	+4.0	+8.7	0.8	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.0	1,959	32	61	244	294	342	+21	+16	3.7	3.6
/162	664	11	21	+7.1	+5.4	1.3	pk7: 3

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
Adrian Santana (OGILVIE)	22	—	—	—	—	233/282/297	63	275	1	10	16%	6%	65	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Rodolfo Penalo 2015 · A	22	45	36→30	59→65	55	206/294/273	67	255	2	31	19%	10%	65	-1.2	202/272/269	67	274	3	16	25%	8%	55	-1.9	164/228/210	46	226	0	10	25%	7%	23	-1.2
✕Jesus Galindo 2013 · A	22	48→50	35→30	60→65	46	221/284/282	61	282	2	35	21%	7%	63	-1.4	229/278/295	66	316	3	30	27%	5%	63	-1.4	229/276/289	60	318	2	31	27%	5%	58	-1.1
✕Carlos Willoughby 2011 · A	22	46→43	36→40	62→60	51	213/294/286	73	268	2	28	20%	8%	68	-1.0	204/273/269	65	266	2	17	22%	8%	56	-1.9	197/269/254	57	255	1	17	21%	8%	49	-1.6
✕Andrew Romine 2009 · A	23	47→55	37→40	57→55	46	222/276/297	75	275	4	28	20%	6%	63	-1.4	239/294/306	67	302	3	22	20%	7%	72	-0.7	239/296/327	88	295	7	19	20%	6%	78	-0.1
✕Shawn O'Malley 2011 · AA	23	47→57	35→40	57→60	47	217/301/275	58	294	2	26	25%	8%	69	-0.9	233/296/303	70	299	3	24	21%	7%	72	-0.7	259/320/356	97	321	5	23	20%	7%	91	+0.4
✕Luis Valdez 2022 · A	22	46→52	37→40	58→70	44	217/282/292	75	299	4	26	27%	7%	65	-1.2	210/262/273	63	318	3	44	32%	6%	52	-2.2	201/253/258	56	307	3	56	33%	6%	43	-1.5
✕Cole Tucker 2018 · AA	22	49→51	39→45	57→55	44	230/286/323	92	310	5	24	26%	7%	72	-0.7	229/287/333	104	299	7	20	24%	7%	76	-0.4	228/286/332	104	292	8	18	23%	7%	73	-0.4
✕Emmanuel Burriss 2008 · A	23	51→56	34→40	59→60	45	238/282/289	51	286	1	34	17%	5%	63	-1.4	249/300/302	53	289	2	26	14%	6%	73	-0.6	261/312/306	45	298	1	25	12%	6%	77	-0.2
✕Chris Garia 2015 · A	22	49→55	38→40	62→60	38	231/273/312	81	313	5	30	27%	4%	65	-1.2	224/264/336	112	293	9	24	26%	5%	68	-1.0	217/254/345	127	276	10	27	25%	4%	62	-0.7
✕Johan Rojas 2023 · AA	22	44→54	41→45	63→65	42	216/263/320	104	271	8	35	23%	5%	63	-1.3	248/290/352	104	312	8	37	22%	5%	81	-0.1	260/302/359	100	326	7	41	21%	5%	85	+0.2
✕Jose Vallejo 2009 · AA	22	52→56	39→40	58→55	42	248/289/330	82	311	6	24	22%	5%	75	-0.5	220/260/291	71	295	5	14	26%	5%	55	-1.9	199/237/247	48	274	3	8	27%	5%	34	-1.5
✕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
✕Pedro Toribio 2012 · A	22	43	38→40	63→60	47	201/252/288	86	235	4	27	16%	6%	52	-2.2	236/266/309	73	293	2	23	19%	4%	61	-1.5	267/287/325	58	333	0	29	19%	2%	68	-0.4
✕Jacob May 2015 · A	23	49→56	40	59→60	44	232/280/336	104	295	6	26	23%	6%	73	-0.6	238/279/314	76	317	3	29	25%	5%	68	-1.0	238/278/301	63	325	3	33	26%	4%	61	-1.1
✕Adenson Chourio 2008 · A	22	46	34→30	56→60	54	209/294/256	47	251	1	31	16%	9%	62	-1.4	221/281/258	37	293	1	26	23%	7%	56	-1.9	218/268/238	20	302	0	28	26%	5%	44	-1.2
✕Mario Holmann 2006 · A	22	49	34→30	57→60	47	227/292/278	51	298	2	30	23%	8%	65	-1.2	210/290/262	52	286	2	24	25%	10%	61	-1.5	193/284/220	27	267	0	28	25%	11%	48	-1.3
✕Everth Cabrera 2009 · A	22	51→60	39→40	61→65	43	238/293/326	89	318	5	34	26%	6%	76	-0.4	240/303/330	90	313	4	33	22%	8%	81	-0.1	266/331/350	84	338	3	54	21%	8%	94	+0.7
✕Alexi Casilla 2006 · AAA	22	57→65	37→40	58→60	48	268/319/341	73	307	5	32	14%	6%	88	+0.5	268/320/339	71	312	4	29	14%	6%	88	+0.5	267/322/334	67	308	4	27	14%	7%	86	+0.3
✕Hak-Ju Lee 2013 · AA	22	53→59	38→40	59→55	46	250/303/339	90	320	4	24	22%	7%	82	+0.0	226/285/311	85	308	5	23	26%	7%	70	-0.9	201/259/269	69	292	5	20	31%	7%	48	-1.2

Adrian Santana

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps