Gabriel Rodriguez

SS Hill City Howlers

Age 20 L/R 6'0" / 161 lbs A Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#435ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL CLE Goryl	163	.269/.506/.398	2	9	84	—	.182/.389/.256
2025	18	ROKCLE	122	.294/.400/.402	1	11	70	—	.231/.308/.306
2026	19	A/ROKCLE	304	.202/.341/.267	3	22	46	—	.173/.278/.216
2027PROJMLE	20	MLBCLE	414	.225/.310/.325	6	9	82	0.3
2028PROJ31% MLB	21	MLBCLE	77	.230/.315/.342	1	2	88	0.2
2029PROJ48% MLB	22	MLBCLE	170	.234/.319/.355	3	4	93	0.4

Next 3 projected WAR 0.8Projected 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%87

Whiff%75

K%74

BB%74

Chase%72

Speed44

Career WAR0.0 WAR median (P10 -0.2 / P90 4.5, comp-based) · star 1% · didn't stick 90%

CompsCanaan Smith-Njigba (age 20) · Hoy Park (age 20) · Carter Jensen (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 189 proj PA

wRC+†82

AVG/OBP/SLG.223 / .307 / .322

PA189

HR3

K%23

BB%10

ISO100

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$42M ctrl surplus

Contract

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	+1.0	$5M	+$5M
2033	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2034	Pre-Arb	$1.0M	+1.0	$5M	+$4M
2035	Arb-1	$4M	+0.9	$2M	+$0.3M
2036	Arb-2	$5M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.6	$1M	+$0.0M (cut)
Totals		$7M		$20M	+$15M

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 CLE Goryl	—	163	108	29	6	1	2	39	27	14	9	3	269	506	398	904	130	338	17	24	424	84	—	—	—	—	—	—
2025	18	ROK	ACL Guardians	—	122	102	30	4	2	1	15	23	3	11	2	294	400	402	802	108	362	19	12	360	70	—	—	—	—	—	—
2026	19	A	Hill City Howlers	—	269	223	43	4	0	3	41	53	1	21	5	193	321	251	572	58	234	20	15	272	40	—	—	—	—	—	—
2026	19	ROK	ACL Guardians	—	35	24	7	3	0	0	9	7	1	1	0	292	500	417	917	125	389	20	26	414	96	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL CLE Goryl	—	163	121	22	4	1	1	27	35	14	9	3	182	389	256	645	74	224	21	17	293	84	—	—	—	—	—	—
2025	18	ROK MLE	ACL Guardians	—	122	108	25	3	1	1	9	32	3	11	2	231	308	306	614	74	301	26	7	271	70	—	—	—	—	—	—
2026	19	A MLE	Hill City Howlers	—	269	234	39	3	0	2	30	72	1	21	5	167	264	205	469	38	224	27	11	228	40	—	—	—	—	—	—
2026	19	ROK MLE	ACL Guardians	—	35	27	6	2	0	0	6	10	1	1	0	222	382	296	679	74	306	29	17	310	96	—	—	—	—	—	—
2024	17	ROK MLE	DSL CLE Goryl	—	163	121	22	4	1	1	27	35	14	9	3	182	389	256	645	74	244	21	17	293	84	—	—	—	—	—	—
2024	17	ROK RAW	DSL CLE Goryl	—	163	108	29	6	1	2	39	27	14	9	3	269	506	398	904	130	338	17	24	424	84	—	—	—	—	—	—
2025	18	ROK MLE	ACL Guardians	—	122	108	25	3	1	1	9	32	3	11	2	231	308	306	614	74	312	26	7	271	70	—	—	—	—	—	—
2025	18	ROK RAW	ACL Guardians	—	122	102	30	4	2	1	15	23	3	11	2	294	400	402	802	108	362	19	12	360	70	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	304	262	46	6	0	2	35	82	2	22	5	176	278	221	499	46	240	27	12	237	47	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	304	247	50	7	0	3	50	60	2	22	5	202	341	267	608	65	249	20	16	289	47	—	—	—	—	—	—
2024	17	ROK MLE	DSL CLE Goryl	—	163	121	22	4	1	1	27	35	14	9	3	182	389	256	645	74	224	21	17	293	84	—	—	—	—	—	—
2025	18	ROK MLE	ACL Guardians	—	122	109	25	3	1	1	9	32	3	11	2	229	308	303	611	73	301	26	7	271	70	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	304	264	46	6	0	2	35	82	2	22	5	174	278	220	497	45	233	27	12	237	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL CLE Goryl	—	163	121	22	4	1	1	27	35	14	9	3	182	389	256	645	74	224	21	17	293	84	—	—	—	—	—	—
2025	18	ROK MLE	ACL Guardians	—	122	109	25	3	1	1	9	32	3	11	2	229	308	303	611	73	301	26	7	271	70	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	304	264	46	6	0	2	35	82	2	22	5	174	278	220	497	45	233	27	12	237	47	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CLE	0%	414	366	82	15	2	6	41	94	4	9	2	225	310	325	635	100	284	23	10	290	82	-9	+1	-2	+4	+9	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CLE	31%	247	217	49	9	1	4	25	55	3	6	1	230	315	343	658	113	285	22	10	299	88	-3	+1	-1	+3	+5	0.4
2029	22	MLB MLE	CLE	48%	355	313	73	13	2	7	35	78	4	8	2	234	319	356	675	123	286	22	10	305	93	-3	+1	-1	+4	+8	0.8
2030	23	MLB MLE	CLE	57%	423	374	88	16	2	9	42	93	4	9	2	237	321	365	687	129	288	22	10	310	96	-2	+1	-1	+5	+9	1.2
2031	24	MLB MLE	CLE	60%	467	413	98	18	2	11	46	102	5	10	2	239	323	372	694	133	289	22	10	312	98	-1	+1	-0	+5	+10	1.5
2032	25	MLB MLE	CLE	62%	490	434	104	19	2	12	48	107	5	10	3	239	323	375	698	135	289	22	10	314	98	-1	+1	+0	+5	+11	1.6
2033	26	MLB MLE	CLE	63%	504	444	107	19	3	12	50	110	5	10	3	239	323	374	697	135	289	22	10	314	98	-1	+1	+0	+5	+11	1.7
2034	27	MLB MLE	CLE	62%	506	446	106	19	2	12	50	111	5	10	3	238	322	372	694	134	288	22	10	312	97	-2	+1	+0	+5	+11	1.6
2035	28	MLB MLE	CLE	62%	501	441	104	19	2	11	50	111	5	9	2	236	320	367	687	131	287	22	10	310	96	-3	+1	-0	+5	+11	1.5
2036	29	MLB MLE	CLE	60%	490	434	101	18	2	11	48	110	5	8	2	234	317	361	679	127	286	22	10	306	93	-4	+1	-1	+5	+11	1.2
2037	30	MLB MLE	CLE	65%	479	425	98	18	2	10	47	109	4	7	3	231	314	354	668	123	285	23	10	302	90	-5	+0	-2	+5	+10	0.9
2038	31	MLB MLE	CLE	69%	462	410	93	17	2	9	45	107	4	5	3	227	309	344	654	117	282	23	10	296	87	-7	-0	-2	+5	+10	0.5
2039	32	MLB MLE	CLE	72%	441	392	87	15	2	8	42	104	4	4	5	222	303	332	636	110	279	24	10	289	82	-10	-1	-3	+5	+10	0.0
2028	21	MLB CTX	CLE	31%	77	68	15	3	0	1	8	17	1	2	0	230	315	342	657	112	286	22	10	299	88	-1	+0	-0	+1	+2	0.2
2029	22	MLB CTX	CLE	48%	170	149	34	6	1	3	17	38	2	4	1	234	319	355	674	121	287	22	10	305	93	-1	+0	-1	+2	+4	0.4
2030	23	MLB CTX	CLE	57%	240	212	50	9	1	5	24	53	2	5	1	237	321	364	686	128	288	22	10	309	96	-1	+1	-1	+3	+5	0.7
2031	24	MLB CTX	CLE	60%	281	248	59	11	1	6	28	61	3	6	1	239	323	370	693	132	289	22	10	312	98	-1	+1	-0	+3	+6	0.9
2032	25	MLB CTX	CLE	62%	304	268	64	12	1	7	30	66	3	6	2	239	323	374	697	134	289	22	10	313	98	-1	+0	+0	+3	+7	1.0
2033	26	MLB CTX	CLE	63%	318	281	67	12	1	8	31	69	3	6	2	239	323	373	696	134	289	22	10	313	98	-1	+0	+0	+3	+7	1.1
2034	27	MLB CTX	CLE	62%	316	279	66	12	1	7	31	69	3	6	2	238	322	371	693	133	288	22	10	312	97	-1	+0	+0	+3	+7	1.0
2035	28	MLB CTX	CLE	62%	311	274	65	12	1	7	31	69	3	5	2	237	320	366	687	130	288	22	10	309	96	-2	+0	-0	+3	+7	0.9
2036	29	MLB CTX	CLE	60%	296	262	61	11	1	7	29	66	3	5	1	234	318	360	678	126	287	22	10	306	93	-2	+1	-1	+3	+6	0.7
2037	30	MLB CTX	CLE	65%	313	276	65	12	1	7	31	71	3	5	2	231	314	353	667	122	285	23	10	302	90	-4	+0	-1	+3	+7	0.6
2038	31	MLB CTX	CLE	69%	319	282	64	12	1	6	31	74	3	4	2	227	310	344	653	116	283	23	10	296	87	-5	+0	-2	+3	+7	0.4
2039	32	MLB CTX	CLE	72%	317	281	63	11	1	6	30	75	3	3	4	222	304	332	635	109	279	24	9	289	82	-7	-1	-2	+3	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3262	2880	673	123	11	70	321	728	32	57	20	234	317	357	674	123	287	22	10	306	90	-26	+3	-7	+35	+71	7.7
/ 162G	—	A+C		—	650	574	134	25	2	14	64	145	6	11	4	233	317	357	674	124	286	22	10	306	90	-5	+1	-1	+7	+14	1.5
Career	—	MLE		—	6143	5400	1239	220	27	123	618	1389	74	142	42	229	317	349	665	119	284	23	10	301	90	-46	+7	-12	+60	+120	13.1
/ 162G	—	MLE		—	650	571	131	23	3	13	65	147	8	15	4	229	317	349	665	119	284	23	10	301	90	-5	+1	-1	+7	+14	1.5

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 AHill City Howlers · 269 PAwOBA .271 → .228 (−43)K% 19.7% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.70%	÷1.000	×1.360	—	—	26.80%
BB% (unintentional) /PA	15.24%	÷1.000	×0.690	—	×1.045	10.99%
HBP% /PA	0.37%	—	×0.780	—	×1.045	0.30%
Singles /BIP	21.18%	÷1.000	×0.920	×1.011	×1.045	20.58%
Doubles /BIP	2.35%	÷1.000	×0.830	×1.011	×1.045	2.06%
Triples /BIP	0.00%	÷1.000	×0.910	×1.011	×1.045	0.00%
Home runs /BIP	1.76%	÷1.000	×0.800	—	×1.045	1.48%

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 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 ×1.011.

Result: wOBA .271 → .228; ISO .058 → .048; BABIP .234 → .224. 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 Guardians · 35 PAwOBA .417 → .310 (−107)K% 20.0% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.000	×1.440	—	—	28.80%
BB% (unintentional) /PA	25.71%	÷1.000	×0.620	—	×1.008	16.06%
HBP% /PA	2.86%	—	×0.720	—	×1.008	2.07%
Singles /BIP	23.53%	÷1.000	×0.820	—	×1.008	19.44%
Doubles /BIP	17.65%	÷1.000	×0.720	—	×1.008	12.80%
Triples /BIP	0.00%	÷1.000	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.000	×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): 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).

Result: wOBA .417 → .310; ISO .125 → .099; BABIP .389 → .306. 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 Guardians · 122 PAwOBA .355 → .271 (−84)K% 18.9% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.85%	÷1.041	×1.440	—	—	26.09%
BB% (unintentional) /PA	11.48%	÷1.018	×0.620	—	×1.022	7.14%
HBP% /PA	2.46%	—	×0.720	—	×1.022	1.81%
Singles /BIP	29.11%	÷0.985	×0.820	×1.012	×1.022	25.07%
Doubles /BIP	5.06%	÷0.982	×0.720	×1.012	×1.022	3.84%
Triples /BIP	2.53%	÷1.075	×0.720	×1.012	×1.022	1.75%
Home runs /BIP	1.27%	÷1.388	×0.780	—	×1.022	0.73%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 178, 1B 97, 2B 96, 3B 115, K 108, BB 104 — 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 ×1.012.

Result: wOBA .355 → .271; ISO .108 → .074; BABIP .362 → .301. 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 CLE Goryl · 163 PAwOBA .416 → .293 (−123)K% 16.6% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.56%	÷0.930	×1.220	—	—	21.73%
BB% (unintentional) /PA	23.31%	÷1.016	×0.700	—	×1.022	16.43%
HBP% /PA	8.59%	—	×0.700	—	×1.022	6.15%
Singles /BIP	24.69%	÷0.994	×0.680	×0.994	×1.022	17.17%
Doubles /BIP	7.41%	÷0.995	×0.600	×0.994	×1.022	4.54%
Triples /BIP	1.23%	÷1.038	×0.600	×0.994	×1.022	0.73%
Home runs /BIP	2.47%	÷1.366	×0.470	—	×1.022	0.87%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 173, 1B 99, 2B 99, 3B 108, K 86, BB 103 — 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 ×0.994.

Result: wOBA .416 → .293; ISO .130 → .072; BABIP .338 → .224. 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
#1Spike Owen'83-'95 * career totals — 13 seasons, 5,615 PA	8.5	5,615	46	82	242*	322*	356*	+55	+30	15.6	15.3
/162	664	5	10	+6.5	+3.6	1.8	pk7: 15
#2Mike Bordick'90-'03 * career totals — 13 seasons, 6,484 PA	9.8	6,484	91	96	250*	311*	357*	+65	-10	12.7	14.0
/162	664	9	10	+6.7	-1.0	1.3	pk7: 15
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.2	3,450	74	62	235	314	360	+37	+0	10.6	9.2
/162	664	14	12	+7.1	+0.0	2.0	pk7: 8
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	4.2	2,794	46	50	259	303	375	+27	-6	6.7	7.1
/162	664	11	12	+6.5	-1.4	1.6	pk7: 7
#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
Gabriel Rodriguez (OGILVIE)	20	—	—	—	—	223/307/322	99	284	3	4	23%	10%	82	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
●Carter Jensen 2023 · A	20	38→48	42→55	45→50	49	189/279/298	109	272	9	7	32%	11%	66	-1.1	205/296/340	135	284	14	9	30%	11%	82	-0.0	233/312/421	188	299	22	7	28%	10%	105	+1.6
●Jorbit Vivas 2021 · A	20	46→56	37→45	49→50	47	215/289/297	81	268	3	11	20%	7%	69	-0.9	253/327/377	124	285	11	7	15%	7%	101	+1.4	252/334/373	121	281	11	9	14%	8%	101	+1.3
✕Pedro Ramírez 2024 · A	20	48→57	42→45	51→55	48	234/298/345	111	291	9	14	22%	7%	82	+0.0	255/308/360	105	318	8	17	21%	6%	90	+0.6	265/318/375	110	323	9	22	20%	6%	95	+0.8
✕Juan Brito 2022 · A	20	44→50	41→50	47→45	46	215/282/311	96	276	9	12	25%	8%	70	-0.9	234/317/368	134	286	12	9	21%	10%	96	+1.0	231/317/370	139	276	13	9	20%	10%	94	+0.8
●Evan Carter 2022 · A	19	47→55	43→50	52→55	56	220/331/337	117	299	9	18	27%	12%	95	+0.9	240/325/389	149	310	14	20	25%	10%	103	+1.6	241/329/398	157	310	15	21	25%	10%	104	+1.1
✕Cole Young 2023 · A	20	51→52	45	49→50	47	249/304/371	122	299	13	11	21%	7%	91	+0.6	242/328/367	125	291	10	13	19%	10%	99	+1.3	240/330/363	124	285	10	12	18%	10%	97	+1.0
●Bryan Rincon 2024 · A	20	43→47	43→45	49→55	54	210/307/319	109	268	10	19	24%	11%	82	-0.0	196/286/316	120	277	12	25	31%	10%	73	-0.6	192/290/337	145	263	17	31	32%	11%	77	-0.2
✕Rio Ruiz 2014 · A	20	45→54	44→50	50→40	45	221/278/350	129	289	10	8	27%	7%	76	-0.4	241/308/352	111	311	9	4	23%	9%	88	+0.4	246/316/351	105	316	8	2	23%	9%	88	+0.4
✕Kevyn Castillo 2024 · A	19	49→46	38→50	54→55	53	227/310/317	91	295	4	19	23%	10%	81	-0.1	232/306/336	104	327	8	14	29%	9%	84	+0.1	232/311/351	119	315	11	14	28%	9%	86	+0.2
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Jesus Rodriguez 2022 · A	20	44→54	37→45	48→50	52	204/280/284	80	260	3	11	21%	9%	62	-1.4	241/302/355	114	291	9	13	19%	7%	86	+0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
✕Enmanuel Terrero 2023 · A	20	46	37→45	47→55	56	216/300/287	72	267	3	12	19%	11%	71	-0.8	208/277/303	95	322	9	15	35%	8%	65	-1.2	191/260/285	94	305	11	18	38%	8%	53	-0.8
✕Richi Sanchez 2014 · A	20	48	38→40	50	60	221/321/305	85	261	4	10	16%	12%	83	+0.1	203/276/272	69	258	3	7	20%	9%	58	-1.7	170/226/236	67	206	0	6	17%	6%	28	-0.9
✕Bo Naylor 2019 · A	19	45→46	39→55	52→50	46	212/280/301	90	299	6	9	30%	9%	66	-1.1	196/254/318	122	282	11	8	33%	7%	60	-1.6	218/311/396	178	274	21	12	27%	11%	100	+1.0
●Jackson Holliday 2023 · A	19	51→61	41→50	49→50	60	240/338/346	106	301	8	10	21%	13%	98	+1.2	254/339/391	137	339	12	14	26%	11%	109	+2.0	249/334/388	139	323	13	15	25%	11%	105	+1.7
✕Jason Martin 2016 · A	20	48→52	40→60	47→50	47	228/284/326	98	290	6	10	23%	7%	72	-0.7	225/278/372	147	302	15	13	29%	7%	82	-0.0	226/292/414	187	279	24	8	28%	8%	94	+0.6
●Angel Genao 2024 · A	20	47→57	39→45	48→50	48	224/290/313	89	292	6	9	24%	8%	73	-0.6	262/314/381	119	324	9	12	21%	7%	97	+1.1	271/329/396	125	328	10	12	19%	8%	104	+1.3

Gabriel Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps