Darison Garcia

SS ACL Royals

Age 20 S/R 5'11" / 165 lbs ROK HR -15%K -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1491ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Royals Ve…	181	.233/.362/.322	0	15	34	—	.155/.260/.206
2025	18	ROKKC	216	.243/.389/.308	0	18	49	—	.185/.289/.234
2026	19	ROKKC	197	.172/.381/.221	1	31	30	—	.130/.273/.167
2027PROJMLE	20	MLBKC	307	.191/.281/.260	2	8	57	-0.1
2028PROJ34% MLB	21	MLBKC	52	.196/.287/.279	0	1	65	-0.0
2029PROJ48% MLB	22	MLBKC	120	.202/.291/.296	1	3	71	-0.0

Next 3 projected WAR -0.1Projected 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

BB%89

Speed68

Chase%62

Z-Con%41

Whiff%33

wRC+24

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

CompsEmmanuel Morel (age 20) · Roberto Caro (age 20) · Nasim Nuñez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 104 proj PA

wRC+†57

AVG/OBP/SLG.189 / .279 / .257

PA104

HR1

K%28

BB%10

ISO69

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$7M ctrl surplus

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

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 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	+0.2	$0.4M	+$0.0M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$0.7M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$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 Royals Ventura	—	181	146	34	9	2	0	27	28	3	15	3	233	362	322	683	89	279	15	15	313	34	—	—	—	—	—	—
2025	18	ROK	ACL Royals	—	216	169	41	9	1	0	40	47	1	18	4	243	389	308	696	65	333	22	19	323	49	—	—	—	—	—	—
2026	19	ROK	ACL Royals	—	197	145	25	4	0	1	44	55	5	31	4	172	381	221	602	48	264	28	22	303	30	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Royals Ventura	—	181	155	24	6	1	0	19	34	3	15	3	155	260	206	466	52	185	19	10	219	34	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	216	184	34	7	1	0	26	69	1	18	4	185	289	234	523	49	282	32	12	240	49	—	—	—	—	—	—
2026	19	ROK MLE	ACL Royals	—	197	162	21	3	0	1	27	79	5	31	4	130	273	167	440	37	223	40	14	212	30	—	—	—	—	—	—
2024	17	ROK MLE	DSL Royals Ventura	—	181	155	24	6	1	0	19	34	3	15	3	155	260	206	466	52	192	19	10	219	34	—	—	—	—	—	—
2024	17	ROK RAW	DSL Royals Ventura	—	181	146	34	9	2	0	27	28	3	15	3	233	362	322	683	89	279	15	15	313	34	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	216	184	34	7	1	0	26	69	1	18	4	185	289	234	523	49	293	32	12	240	49	—	—	—	—	—	—
2025	18	ROK RAW	ACL Royals	—	216	169	41	9	1	0	40	47	1	18	4	243	389	308	696	65	333	22	19	323	49	—	—	—	—	—	—
2026	19	ROK MLE	ACL Royals	—	197	162	21	3	0	1	27	79	5	31	4	130	273	167	440	37	238	40	14	212	30	—	—	—	—	—	—
2026	19	ROK RAW	ACL Royals	—	197	145	25	4	0	1	44	55	5	31	4	172	381	221	602	48	264	28	22	303	30	—	—	—	—	—	—
2024	17	ROK MLE	DSL Royals Ventura	—	181	157	24	6	1	0	19	34	3	15	3	153	260	204	464	51	185	19	10	219	34	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	216	187	34	7	1	0	26	69	1	18	4	182	289	230	519	48	282	32	12	240	49	—	—	—	—	—	—
2026	19	ROK MLE	ACL Royals	—	197	163	21	3	0	1	27	79	5	31	4	129	273	166	439	37	223	40	14	212	30	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Royals Ventura	—	181	157	24	6	1	0	19	34	3	15	3	153	260	204	464	51	185	19	10	219	34	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	216	187	34	7	1	0	26	69	1	18	4	182	289	230	519	48	282	32	12	240	49	—	—	—	—	—	—
2026	19	ROK MLE	ACL Royals	—	197	163	21	3	0	1	27	79	5	31	4	129	273	166	439	37	223	40	14	212	30	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	KC	0%	307	270	52	10	2	2	31	87	3	8	2	191	281	260	541	69	271	28	10	253	57	-16	+1	+0	+3	+7	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	KC	34%	151	133	27	5	1	2	15	42	2	4	1	198	288	283	571	85	273	28	10	264	65	-6	+0	+0	+2	+3	-0.1
2029	22	MLB MLE	KC	48%	247	217	43	8	1	3	25	67	3	6	1	204	293	300	593	97	275	27	10	273	71	-9	+1	+0	+3	+5	0.0
2030	23	MLB MLE	KC	54%	342	301	63	12	2	5	34	92	4	9	2	208	297	314	610	105	277	27	10	279	75	-10	+1	+0	+4	+7	0.2
2031	24	MLB MLE	KC	55%	406	359	75	14	2	7	40	108	4	10	2	212	299	323	623	112	279	27	10	284	78	-10	+1	+0	+4	+9	0.4
2032	25	MLB MLE	KC	56%	441	389	83	16	2	8	44	116	5	11	2	214	301	330	631	116	280	26	10	287	80	-10	+1	+0	+5	+10	0.6
2033	26	MLB MLE	KC	56%	460	406	86	16	2	9	46	121	5	11	2	214	301	331	632	116	280	26	10	287	81	-11	+1	+0	+5	+10	0.6
2034	27	MLB MLE	KC	60%	467	413	88	17	2	9	46	124	5	11	3	213	300	328	628	115	279	27	10	286	80	-11	+1	+0	+5	+10	0.5
2035	28	MLB MLE	KC	62%	466	412	86	16	2	8	46	124	5	10	2	211	298	323	622	112	278	27	10	284	78	-12	+1	-1	+5	+10	0.3
2036	29	MLB MLE	KC	63%	456	403	84	16	2	8	45	123	5	9	2	209	296	317	613	108	277	27	10	280	76	-13	+1	-1	+5	+10	0.1
2037	30	MLB MLE	KC	63%	446	395	81	15	2	7	44	122	4	8	2	206	292	310	602	104	275	27	10	276	73	-14	+1	-2	+5	+10	-0.1
2028	21	MLB CTX	KC	34%	52	46	8	2	0	0	5	14	1	1	0	196	287	279	566	83	272	27	10	262	65	-2	+0	+0	+1	+1	-0.0
2029	22	MLB CTX	KC	48%	120	106	21	4	1	1	12	33	1	3	1	202	291	296	587	94	274	28	10	270	71	-4	+0	+0	+1	+3	-0.0
2030	23	MLB CTX	KC	54%	185	163	33	6	1	3	18	50	2	5	1	206	295	308	603	102	276	27	10	276	75	-5	+1	+0	+2	+4	0.1
2031	24	MLB CTX	KC	55%	225	199	42	8	1	4	22	60	2	6	1	209	297	317	615	108	277	27	10	281	78	-6	+1	+0	+2	+5	0.2
2032	25	MLB CTX	KC	56%	247	218	46	9	1	4	24	65	3	6	1	212	299	323	622	112	278	26	10	284	80	-6	+1	+0	+3	+5	0.3
2033	26	MLB CTX	KC	56%	259	228	48	9	1	5	26	68	3	6	1	212	299	324	623	112	278	26	10	284	81	-6	+1	+0	+3	+6	0.3
2034	27	MLB CTX	KC	60%	278	245	53	10	2	5	28	74	3	7	2	211	298	321	619	111	277	27	10	283	80	-7	+1	+0	+3	+6	0.3
2035	28	MLB CTX	KC	62%	287	254	54	10	2	5	28	77	3	6	1	209	296	317	613	108	276	27	10	280	78	-8	+1	-0	+3	+6	0.2
2036	29	MLB CTX	KC	63%	286	253	52	10	1	5	28	77	3	6	1	207	294	311	605	105	275	27	10	277	76	-8	+1	-1	+3	+6	0.1
2037	30	MLB CTX	KC	63%	283	250	51	10	1	4	28	77	3	5	1	204	290	304	594	100	274	27	10	273	73	-9	+1	-1	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2222	1962	408	78	11	36	219	595	24	51	10	208	295	314	609	106	278	27	10	279	71	-61	+6	-3	+24	+48	1.5
/ 162G	—	A+C		—	650	574	120	23	3	11	64	174	7	15	3	209	296	317	613	108	278	27	10	279	71	-18	+2	-1	+7	+14	0.4
Career	—	MLE		—	4580	4021	813	154	21	68	467	1250	52	156	31	202	293	302	595	99	273	27	10	274	71	-113	+10	-4	+43	+86	2.3
/ 162G	—	MLE		—	650	571	116	22	3	10	66	177	7	22	4	203	293	305	598	102	273	27	10	274	71	-18	+2	-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 Royals · 197 PAwOBA .298 → .212 (−86)K% 27.9% → 40.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.92%	÷1.000	×1.440	—	—	40.20%
BB% (unintentional) /PA	21.83%	÷1.000	×0.620	—	×1.008	13.63%
HBP% /PA	2.54%	—	×0.720	—	×1.008	1.84%
Singles /BIP	22.22%	÷1.000	×0.820	×1.050	×1.008	19.28%
Doubles /BIP	4.44%	÷1.000	×0.720	×1.050	×1.008	3.39%
Triples /BIP	0.00%	÷1.000	×0.720	×1.050	×1.008	0.00%
Home runs /BIP	1.11%	÷1.000	×0.780	—	×1.008	0.87%

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 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 .298 → .212; ISO .048 → .036; BABIP .264 → .223. 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 Royals · 216 PAwOBA .318 → .240 (−78)K% 21.8% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.76%	÷0.985	×1.440	—	—	31.83%
BB% (unintentional) /PA	18.52%	÷0.971	×0.620	—	×1.022	12.09%
HBP% /PA	0.46%	—	×0.720	—	×1.022	0.34%
Singles /BIP	25.41%	÷1.019	×0.820	×1.050	×1.022	21.95%
Doubles /BIP	7.38%	÷0.975	×0.720	×1.050	×1.022	5.85%
Triples /BIP	0.82%	÷1.070	×0.720	×1.050	×1.022	0.59%
Home runs /BIP	0.00%	÷0.939	×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 88, 1B 104, 2B 95, 3B 114, K 97, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .318 → .240; ISO .065 → .050; BABIP .333 → .282. 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 Royals Ventura · 181 PAwOBA .313 → .219 (−94)K% 15.5% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.47%	÷1.000	×1.220	—	—	18.88%
BB% (unintentional) /PA	14.92%	÷1.022	×0.700	—	×1.022	10.45%
HBP% /PA	1.66%	—	×0.700	—	×1.022	1.19%
Singles /BIP	19.49%	÷1.014	×0.680	×0.995	×1.022	13.30%
Doubles /BIP	7.63%	÷0.982	×0.600	×0.995	×1.022	4.74%
Triples /BIP	1.69%	÷1.012	×0.600	×0.995	×1.022	1.02%
Home runs /BIP	0.00%	÷0.994	×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 99, 1B 103, 2B 96, 3B 102, K 100, BB 104 — 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 ×0.995.

Result: wOBA .313 → .219; ISO .089 → .058; BABIP .279 → .185. 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
#1Dick 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
#2Cliff 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
#3Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#4Gene 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.5	2,326	39	54	210	294	319	+25	+21	2.9	2.8
/162	664	11	15	+7.1	+6.0	0.8	pk7: 3
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#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
Darison Garcia (OGILVIE)	20	35	20	60	60	189/279/257	68	271	1	3	28%	10%	57	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Roberto Caro 2014 · A	20	41→40	35→40	55→60	51	191/273/258	66	249	1	16	22%	9%	54	-2.0	191/269/267	76	262	2	18	25%	8%	54	-2.0	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Nasim Nuñez 2021 · A	20	41→51	35→30	57→65	47	191/265/249	58	277	2	20	30%	9%	49	-2.4	215/301/265	50	313	2	38	28%	11%	66	-1.1	214/299/272	58	299	5	52	27%	10%	65	-1.0
✕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
✕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
✕Juan Mosquera 2008 · A	20	43	33→30	48→55	58	195/304/239	44	264	1	17	24%	12%	63	-1.3	192/270/239	47	254	2	11	23%	9%	49	-2.4	181/239/208	28	219	0	9	16%	7%	26	-1.0
✕Jeremy Arocho 2018 · A	19	43→44	38→30	53→60	41	204/261/287	83	286	4	12	29%	6%	55	-1.9	223/282/290	67	291	2	11	22%	7%	64	-1.3	230/324/274	45	312	0	26	23%	11%	74	-0.3
✕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
✕Candido Pimentel 2010 · A	20	45	35→30	53→55	54	207/295/272	65	273	2	17	23%	11%	65	-1.2	211/275/265	54	294	2	15	26%	8%	55	-1.9	234/284/275	41	327	1	17	27%	6%	57	-0.7
✕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
✕Noah Miller 2023 · A	20	40→47	37→40	51→50	48	188/276/257	69	287	4	13	33%	10%	55	-1.9	205/266/280	75	274	6	8	25%	8%	56	-1.9	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Geraldo Quintero 2022 · A	20	38→47	35→40	52→60	47	181/251/244	63	237	2	17	23%	8%	42	-2.9	216/281/305	89	285	5	23	24%	7%	68	-1.0	218/285/304	87	285	5	28	24%	7%	66	-0.9
✕Ricardo Ferreira 2015 · A	20	46	36→30	55→60	54	207/312/275	67	298	3	21	28%	12%	74	-0.6	231/313/303	72	312	3	22	24%	10%	79	-0.2	242/324/311	68	323	3	29	23%	10%	82	+0.0
✕Alfredo Angarita 2017 · A	20	38	35→30	50→55	55	177/275/236	58	228	2	16	22%	11%	51	-2.3	196/265/251	55	276	2	12	27%	8%	49	-2.4	192/256/235	44	275	1	11	28%	7%	39	-1.2
✕Willmer De La Cruz 2023 · A	20	44	37→30	50→55	51	202/294/273	71	297	4	17	30%	11%	66	-1.1	191/271/251	60	317	2	14	36%	9%	52	-2.2	149/242/181	32	268	0	19	40%	10%	24	-0.8
✕Odalys Peguero 2023 · A	20	42	36→30	54→55	50	194/280/259	64	281	3	17	29%	10%	57	-1.8	180/261/247	67	268	2	17	30%	9%	47	-2.5	155/243/214	59	230	2	21	30%	10%	32	-1.7
✕Chris Torres 2018 · A	20	43→38	36→30	51→55	46	198/270/268	70	289	2	14	30%	8%	55	-2.0	200/280/266	66	332	4	12	36%	10%	58	-1.7	182/272/238	56	306	3	15	37%	11%	47	-1.3
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	54	197/295/255	58	274	3	8	26%	11%	63	-1.4	211/273/274	63	328	3	8	33%	7%	57	-1.8	202/264/238	35	318	0	8	34%	8%	43	-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
✕Juan Matheus 2024 · A	20	42→46	38→45	53→55	59	192/312/281	89	273	4	21	28%	14%	76	-0.4	215/292/311	96	283	7	20	24%	9%	73	-0.6	219/288/322	102	278	9	23	23%	8%	72	-0.5

Darison Garcia

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps