Tyler Rodriguez

SS Wisconsin Timber Rattlers

Age 21 R/R 5'10" / 165 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP40OGV rank#197ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKMIL	112	.277/.459/.361	1	9	83	—	.225/.378/.292
2025	19	ACarolina Mudc…	343	.217/.392/.266	2	22	74	—	.204/.345/.237
2026	20	A+/AMIL	269	.234/.403/.344	4	14	83	—	.210/.343/.310
2027PROJMLE	21	MLBMIL	1	.204/.331/.274	0	0	83	0.0
2028PROJ43% MLB	22	MLBMIL	91	.211/.336/.300	1	2	89	0.2
2029PROJ61% MLB	23	MLBMIL	183	.216/.338/.317	3	5	94	0.5

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2026 A+

Chase%80

BB%75

K%69

Z-Con%59

Whiff%58

wOBA51

Career WAR0.0 WAR median (P10 -0.1 / P90 13, comp-based) · star 3% · didn't stick 81%

CompsJesus Castillo (age 21) · Adrian Pinto (age 21) · Ricardo Ferreira (age 20)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†83

AVG/OBP/SLG.204 / .331 / .274

PA1

HR0

K%23

BB%13

BABIP264

ISO60

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$35M ctrl surplus

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.9	$3M	+$2M
2032	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2033	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2034	Arb-1	$3M	+0.8	$2M	+$0.4M
2035	Arb-2	$4M	+0.7	$2M	+$0.0M (cut)
2036	Arb-3	$4M	+0.5	$1M	+$0.0M (cut)
Totals		$6M		$15M	+$9M

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 Brewers 1	—	97	70	14	1	0	2	19	14	7	9	4	200	417	300	717	100	218	14	20	348	47	—	—	—	—	—	—
2024	18	ROK	ACL Brewers	—	112	83	23	4	0	1	17	14	11	9	1	277	459	361	821	84	319	12	15	388	83	—	—	—	—	—	—
2025	19	A	Carolina Mudcats	—	343	263	57	7	0	2	59	54	17	22	8	217	392	266	658	49	261	16	17	321	74	—	—	—	—	—	—
2026	20	A+	Wisconsin Timber Rattlers	—	171	140	34	7	0	2	25	35	6	7	5	243	380	336	716	93	311	20	15	337	76	—	—	—	—	—	—
2026	20	A	Wilson Warbirds	—	98	69	15	4	0	2	25	13	3	7	5	217	443	362	806	145	236	13	26	378	95	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Brewers 1	—	97	75	10	1	0	1	14	17	7	9	4	133	323	187	510	53	139	18	14	238	47	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	112	89	20	3	0	1	11	20	11	9	1	225	378	292	671	67	253	18	10	291	83	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	343	279	57	6	0	1	43	71	17	22	8	204	345	237	582	32	257	21	13	278	74	—	—	—	—	—	—
2026	20	A+ MLE	Wisconsin Timber Rattlers	—	171	147	32	6	0	2	18	44	6	7	5	218	327	299	627	82	293	26	11	280	76	—	—	—	—	—	—
2026	20	A MLE	Wilson Warbirds	—	98	76	15	4	0	2	18	18	3	7	5	197	371	329	700	132	212	18	18	309	95	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 1	—	97	75	10	1	0	1	14	17	7	9	4	133	323	187	510	53	155	18	14	238	47	—	—	—	—	—	—
2023	17	ROK RAW	DSL Brewers 1	—	97	70	14	1	0	2	19	14	7	9	4	200	417	300	717	100	218	14	20	348	47	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	112	89	20	3	0	1	11	20	11	9	1	225	378	292	671	67	275	18	10	291	83	—	—	—	—	—	—
2024	18	ROK RAW	ACL Brewers	—	112	83	23	4	0	1	17	14	11	9	1	277	459	361	821	84	319	12	15	388	83	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	343	279	57	6	0	1	43	71	17	22	8	204	345	237	582	32	265	21	13	278	74	—	—	—	—	—	—
2025	19	A RAW	Carolina Mudcats	—	343	263	57	7	0	2	59	54	17	22	8	217	392	266	658	49	261	16	17	321	74	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	269	223	45	9	0	3	36	62	9	14	10	202	336	283	618	81	264	23	13	291	83	—	—	—	—	—	—
2026	20	A+ RAW	2 teams	—	269	209	49	11	0	4	50	48	9	14	10	234	403	344	747	110	285	18	19	352	83	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 1	—	97	76	10	1	0	1	14	17	7	9	4	132	323	184	507	53	139	18	14	238	47	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	112	89	20	3	0	1	11	20	11	9	1	225	378	292	671	67	253	18	10	291	83	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	343	280	57	6	0	1	43	71	17	22	8	204	345	236	581	32	257	21	13	278	74	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	269	222	45	9	0	3	36	62	9	14	10	203	336	284	620	81	263	23	13	291	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL Brewers	—	112	89	20	3	0	1	11	20	11	9	1	225	378	292	671	67	253	18	10	291	83	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	343	280	57	6	0	1	43	71	17	22	8	204	345	236	581	32	257	21	13	278	74	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	269	222	45	9	0	3	36	62	9	14	10	203	336	284	620	81	263	23	13	291	83	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	MIL	0%	379	316	66	12	1	3	48	85	12	10	5	206	333	278	611	71	269	22	13	290	83	-8	+0	+0	+4	+8	0.3
▸ 2027 — real world (MLB)
2027	21	MLB CTX	MIL	0%	1	1	0	0	0	0	0	0	0	0	0	204	331	274	605	70	264	0	0	288	83	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	MIL	43%	210	176	38	7	0	3	26	46	6	6	3	214	338	302	640	89	271	22	12	300	89	-3	+0	+0	+2	+5	0.4
2029	23	MLB MLE	MIL	61%	301	251	56	10	1	5	38	65	9	8	4	219	340	319	660	100	273	22	13	307	94	-2	+0	+0	+3	+7	0.8
2030	24	MLB MLE	MIL	66%	371	311	70	12	1	7	46	80	11	9	4	222	342	331	672	108	275	22	12	311	97	-1	+0	+0	+4	+8	1.1
2031	25	MLB MLE	MIL	69%	409	345	78	14	1	8	50	88	11	10	5	224	342	338	679	113	276	22	12	313	98	-1	+0	+0	+4	+9	1.3
2032	26	MLB MLE	MIL	70%	431	364	83	15	1	9	52	93	12	10	5	225	341	341	682	116	276	22	12	314	99	-1	+0	+0	+5	+9	1.3
2033	27	MLB MLE	MIL	69%	438	370	84	15	1	9	53	95	12	9	5	224	340	339	678	114	276	22	12	313	98	-1	-0	+0	+5	+9	1.3
2034	28	MLB MLE	MIL	68%	437	369	82	15	1	8	53	96	12	8	5	222	338	334	672	111	275	22	12	310	96	-2	-0	-1	+5	+9	1.1
2035	29	MLB MLE	MIL	73%	428	363	80	14	1	8	51	95	11	7	5	220	335	327	663	107	274	22	12	307	94	-3	-1	-1	+5	+9	0.9
2036	30	MLB MLE	MIL	76%	417	353	76	13	1	7	50	94	11	6	5	217	332	320	651	103	272	23	12	302	91	-5	-1	-2	+4	+9	0.6
2037	31	MLB MLE	MIL	78%	401	341	73	13	1	6	47	92	10	5	6	213	327	310	637	97	269	23	12	296	87	-6	-1	-3	+4	+9	0.3
2038	32	MLB MLE	MIL	79%	379	323	66	11	0	6	44	89	9	4	9	208	321	297	619	90	266	23	12	289	82	-8	-3	-4	+4	+8	-0.2
2028	22	MLB CTX	MIL	43%	91	77	16	3	0	1	11	20	3	2	1	211	336	300	635	89	267	22	12	299	89	-1	+0	+0	+1	+2	0.2
2029	23	MLB CTX	MIL	61%	183	153	32	5	0	3	23	40	5	5	2	216	338	317	656	101	269	22	13	305	94	-1	+0	+0	+2	+4	0.5
2030	24	MLB CTX	MIL	66%	246	207	46	8	0	5	30	53	7	6	3	220	340	329	669	109	270	22	12	310	97	-1	+0	+0	+3	+5	0.7
2031	25	MLB CTX	MIL	69%	281	237	54	9	1	6	34	61	8	7	3	222	340	336	676	114	271	22	12	312	98	-1	+0	+0	+3	+6	0.9
2032	26	MLB CTX	MIL	70%	301	254	56	9	1	6	36	65	8	7	3	223	339	340	678	117	272	22	12	312	99	-1	+0	+0	+3	+7	1.0
2033	27	MLB CTX	MIL	69%	302	255	56	9	1	6	36	66	8	7	3	222	338	337	675	115	272	22	12	311	98	-1	+0	+0	+3	+7	0.9
2034	28	MLB CTX	MIL	68%	299	253	56	9	1	6	36	66	8	6	3	220	336	332	668	112	271	22	12	309	96	-1	+0	-0	+3	+6	0.8
2035	29	MLB CTX	MIL	73%	311	263	58	10	1	6	37	69	8	5	3	218	333	326	659	108	270	22	12	305	94	-2	-0	-1	+3	+7	0.7
2036	30	MLB CTX	MIL	76%	315	266	58	10	0	6	38	71	8	5	4	215	330	318	648	103	268	23	12	301	91	-4	-1	-2	+3	+7	0.5
2037	31	MLB CTX	MIL	78%	311	263	55	9	0	5	37	71	8	4	4	211	325	308	633	97	265	23	12	295	87	-5	-1	-2	+3	+7	0.2
2038	32	MLB CTX	MIL	79%	299	255	52	8	0	5	35	70	7	3	7	205	319	295	615	90	262	23	12	288	82	-6	-2	-3	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2939	2483	539	89	5	55	353	652	78	57	36	217	333	323	656	106	270	22	12	304	90	-24	-3	-8	+31	+64	6.1
/ 162G	—	A+C		—	650	549	119	20	1	12	78	144	17	13	8	217	332	322	654	106	270	22	12	304	90	-5	-1	-2	+7	+14	1.4
Career	—	MLE		—	5202	4365	945	163	9	83	634	1139	163	140	81	216	337	315	652	99	272	22	12	301	90	-37	-6	-10	+47	+95	9.0
/ 162G	—	MLE		—	650	545	117	20	1	10	79	142	20	17	10	215	335	310	645	95	270	22	12	301	90	-5	-1	-2	+7	+14	1.3

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+Wisconsin Timber Rattlers · 171 PAwOBA .329 → .280 (−49)K% 20.5% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.47%	÷1.000	×1.270	—	—	25.99%
BB% (unintentional) /PA	14.62%	÷1.000	×0.710	—	×1.042	10.82%
HBP% /PA	3.51%	—	×0.790	—	×1.042	2.89%
Singles /BIP	23.81%	÷1.000	×0.920	×1.014	×1.042	23.15%
Doubles /BIP	6.67%	÷1.000	×0.810	×1.014	×1.042	5.71%
Triples /BIP	0.00%	÷1.000	×0.850	×1.014	×1.042	0.00%
Home runs /BIP	1.90%	÷1.000	×0.800	—	×1.042	1.59%

Factors used: league row Midwest League. 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 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .329 → .280; ISO .093 → .077; BABIP .311 → .293. 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 AWilson Warbirds · 98 PAwOBA .374 → .309 (−66)K% 13.3% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.27%	÷1.000	×1.360	—	—	18.04%
BB% (unintentional) /PA	25.51%	÷1.000	×0.690	—	×1.030	18.13%
HBP% /PA	3.06%	—	×0.780	—	×1.030	2.46%
Singles /BIP	16.07%	÷1.000	×0.920	×0.982	×1.030	14.96%
Doubles /BIP	7.14%	÷1.000	×0.830	×0.982	×1.030	6.00%
Triples /BIP	0.00%	÷1.000	×0.910	×0.982	×1.030	0.00%
Home runs /BIP	3.57%	÷1.000	×0.800	—	×1.030	2.94%

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 ×0.982.

Result: wOBA .374 → .309; ISO .145 → .129; BABIP .236 → .212. 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 ACarolina Mudcats · 343 PAwOBA .318 → .278 (−40)K% 15.7% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.74%	÷1.033	×1.360	—	—	20.74%
BB% (unintentional) /PA	17.20%	÷0.981	×0.690	—	×1.045	12.64%
HBP% /PA	4.96%	—	×0.780	—	×1.045	4.04%
Singles /BIP	22.97%	÷0.948	×0.920	×0.995	×1.045	23.18%
Doubles /BIP	3.35%	÷1.002	×0.830	×0.995	×1.045	2.88%
Triples /BIP	0.00%	÷1.150	×0.910	×0.995	×1.045	0.00%
Home runs /BIP	0.96%	÷1.214	×0.800	—	×1.045	0.66%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 90, 2B 100, 3B 130, K 107, BB 96 — 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 ×0.995.

Result: wOBA .318 → .278; ISO .049 → .040; BABIP .261 → .257. 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 ROKACL Brewers · 112 PAwOBA .383 → .291 (−92)K% 12.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.002	×1.440	—	—	17.96%
BB% (unintentional) /PA	15.18%	÷1.014	×0.620	—	×1.022	9.49%
HBP% /PA	9.82%	—	×0.720	—	×1.022	7.23%
Singles /BIP	26.09%	÷1.015	×0.820	×0.995	×1.022	21.45%
Doubles /BIP	5.80%	÷1.088	×0.720	×0.995	×1.022	3.90%
Triples /BIP	0.00%	÷0.900	×0.720	×0.995	×1.022	0.00%
Home runs /BIP	1.45%	÷0.947	×0.780	—	×1.022	1.22%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 103, 2B 118, 3B 80, K 100, BB 103 — 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 ×0.995.

Result: wOBA .383 → .291; ISO .084 → .067; BABIP .319 → .253. 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 Brewers 1 · 97 PAwOBA .345 → .238 (−107)K% 14.4% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.43%	÷0.992	×1.220	—	—	17.74%
BB% (unintentional) /PA	19.59%	÷0.991	×0.700	—	×1.022	14.14%
HBP% /PA	7.22%	—	×0.700	—	×1.022	5.17%
Singles /BIP	19.64%	÷1.015	×0.680	×0.955	×1.022	12.84%
Doubles /BIP	1.79%	÷0.988	×0.600	×0.955	×1.022	1.06%
Triples /BIP	0.00%	÷1.052	×0.600	×0.955	×1.022	0.00%
Home runs /BIP	3.57%	÷1.026	×0.470	—	×1.022	1.67%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 103, 2B 98, 3B 110, K 98, BB 98 — 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 ×0.955.

Result: wOBA .345 → .238; ISO .100 → .053; BABIP .218 → .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).

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
#2Mike Gallego'85-'97 * career totals — 11 seasons, 3,379 PA	5.1	3,379	42	24	235*	316*	342*	+20	+41	9.5	10.5
/162	664	8	5	+4.0	+8.1	1.9	pk7: 12
#3Dick 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
#4Cliff 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	4.4	2,942	52	56	220	333	326	+32	+24	8.5	7.8
/162	664	12	13	+7.1	+5.4	1.9	pk7: 7
#5Kevin 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
#6Jace 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

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
Tyler Rodriguez (OGILVIE)	21	35	20	55	60	204/331/275	71	269	1	4	22%	13%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕Victor Rodrigues 2024 · A	19	42	37→30	47→50	51	198/275/273	75	246	5	10	21%	9%	58	-1.7	215/298/280	65	272	5	7	21%	10%	69	-0.9	213/306/263	50	270	4	5	20%	11%	66	-0.5
✕Ramon Soto 2009 · AAA	21	46	42→30	51→45	46	223/286/326	103	285	10	12	25%	7%	74	-0.5	241/289/307	66	295	5	8	19%	5%	70	-0.8	280/326/334	54	343	1	7	18%	5%	86	+0.1
✕Jeferson Morales 2019 · A	20	44→47	37→45	49→50	57	202/312/288	86	246	2	15	17%	11%	77	-0.3	201/291/315	114	248	8	9	21%	9%	75	-0.5	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Oswaldo Linares 2024 · A	21	41	39→40	48→40	54	193/303/275	82	276	7	5	30%	12%	71	-0.8	183/267/260	77	267	6	4	31%	9%	53	-2.1	154/234/221	67	218	5	2	30%	8%	30	-1.2
✕Enmanuel Tejeda 2024 · A	19	45→36	39→40	55→60	56	209/320/298	89	285	6	19	26%	12%	82	-0.0	221/297/305	84	297	7	25	26%	9%	74	-0.6	206/283/289	83	268	8	31	25%	8%	63	-0.7
✕Henry Henry 2008 · A	21	48	38→30	50→60	56	225/317/306	81	263	5	14	16%	10%	82	-0.0	215/278/282	67	242	4	21	12%	7%	61	-1.5	212/273/266	54	232	3	30	9%	6%	52	-0.7
✕Nacho Alvarez Jr. 2024 · A	21	51→54	40	50	50	241/318/332	91	306	7	13	22%	9%	88	+0.4	240/315/330	90	307	8	14	22%	8%	86	+0.3	238/317/323	85	303	7	15	22%	8%	83	+0.1
✕Jose Cordova 2021 · A	21	45	36→40	50	43	214/272/279	65	268	3	13	21%	5%	58	-1.7	209/262/276	67	302	3	9	30%	5%	53	-2.1	237/299/326	89	314	5	11	24%	7%	75	-0.2
✕Richi Sanchez 2015 · A	21	46	36→40	48→50	56	213/303/284	71	267	3	8	20%	11%	72	-0.7	201/263/273	72	258	3	7	22%	7%	53	-2.1	170/226/236	67	206	0	6	17%	6%	28	-0.9
✕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
✕Andy Paz 2014 · A	21	43	37→40	42→45	48	204/268/278	75	258	5	5	22%	8%	56	-1.9	201/260/271	70	280	4	5	28%	7%	51	-2.2	218/269/266	48	284	3	6	23%	7%	50	-0.7
✕Jared Serna 2023 · A	21	40→48	42→45	54→50	51	196/289/300	104	251	9	21	24%	9%	71	-0.8	219/276/335	116	269	11	15	22%	6%	72	-0.7	216/271/322	106	262	11	16	21%	6%	65	-1.1
✕Christian Cairo 2022 · A	21	41→49	40	53→60	46	191/289/283	92	297	8	16	35%	10%	67	-1.1	200/301/282	82	297	6	18	31%	11%	71	-0.8	219/314/286	67	298	3	31	25%	10%	75	-0.4
✕Jesus Hernandez 2024 · A	20	42	37→40	51→55	53	199/281/271	72	257	5	13	23%	10%	60	-1.6	199/278/287	88	284	6	18	29%	9%	63	-1.4	199/280/289	90	282	6	24	29%	9%	62	-0.7
✕Nolan Fontana 2013 · A	22	47→45	40	53→50	64	216/347/316	100	299	6	15	26%	16%	97	+1.1	216/325/314	98	314	6	11	29%	14%	87	+0.4	211/322/306	95	307	5	9	29%	13%	82	-0.0
✕Onil Perez 2024 · A	21	48	37→40	55	47	227/281/308	80	278	4	16	19%	6%	68	-1.0	216/286/290	74	269	4	16	20%	8%	66	-1.1	204/282/270	67	252	4	16	19%	8%	59	-0.7
✕Erick Brito 2022 · A	20	47→44	34→30	51→55	57	216/314/267	51	272	1	17	19%	11%	72	-0.7	208/270/268	60	266	2	18	21%	7%	55	-2.0	221/277/288	67	285	3	23	22%	6%	58	-0.8

Tyler Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps