Alfredo Rodriguez

C FCL Rays

Age 21 R/R 5'11" / 187 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1220ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL Tampa Bay	159	.238/.306/.308	0	4	17	—	.164/.223/.212
2025	19	ROKTB	68	.213/.294/.361	2	0	26	—	.156/.206/.281
2026	20	ROKTB	113	.205/.364/.284	1	3	37	—	.160/.282/.223
2027PROJMLE	21	MLBTB	223	.208/.270/.297	3	4	61	0.0
2028PROJ34% MLB	22	MLBTB	38	.215/.278/.314	1	1	67	0.0
2029PROJ48% MLB	23	MLBTB	92	.219/.283/.327	2	2	72	0.1

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

K%50

Speed42

Whiff%38

BB%35

ISO30

wRC+26

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsAngel Ortiz (age 21) · Derrick Mitchell (age 21) · Luis De Los Santos (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 60 proj PA

wRC+†61

AVG/OBP/SLG.206 / .268 / .294

PA60

HR1

K%28

BB%6

ISO89

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · Contract

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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.6M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$2M	+$0.8M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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 Rays	—	123	97	22	1	2	2	21	37	4	0	2	227	385	340	725	113	339	30	17	339	37	—	—	—	—	—	—
2024	18	ROK	DSL Tampa Bay	—	159	143	34	4	3	0	10	35	4	4	4	238	306	308	613	70	309	22	6	279	17	—	—	—	—	—	—
2025	19	ROK	FCL Rays	—	68	61	13	3	0	2	7	17	0	0	1	213	294	361	655	148	262	25	10	296	26	—	—	—	—	—	—
2026	20	ROK	FCL Rays	—	113	88	18	4	0	1	15	24	7	3	0	205	364	284	648	80	258	21	13	306	37	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Rays	—	123	103	15	1	1	1	15	46	4	0	2	146	279	204	483	58	224	37	12	223	37	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	159	146	24	3	2	0	7	44	4	4	4	164	223	212	435	48	224	28	4	193	17	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	68	64	10	2	0	2	4	25	0	0	1	156	206	281	487	125	212	37	6	206	26	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	113	94	15	3	0	1	9	35	7	3	0	160	282	223	505	64	206	31	8	223	37	—	—	—	—	—	—
2023	17	ROK MLE	DSL Rays	—	123	103	15	1	1	1	15	46	4	0	2	146	279	204	483	58	246	37	12	223	37	—	—	—	—	—	—
2023	17	ROK RAW	DSL Rays	—	123	97	22	1	2	2	21	37	4	0	2	227	385	340	725	113	339	30	17	339	37	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	159	146	24	3	2	0	7	44	4	4	4	164	223	212	435	48	231	28	4	193	17	—	—	—	—	—	—
2024	18	ROK RAW	DSL Tampa Bay	—	159	143	34	4	3	0	10	35	4	4	4	238	306	308	613	70	309	22	6	279	17	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	68	64	10	2	0	2	4	25	0	0	1	156	206	281	487	125	216	37	6	206	26	—	—	—	—	—	—
2025	19	ROK RAW	FCL Rays	—	68	61	13	3	0	2	7	17	0	0	1	213	294	361	655	148	262	25	10	296	26	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	113	94	15	3	0	1	9	35	7	3	0	160	282	223	505	64	230	31	8	223	37	—	—	—	—	—	—
2026	20	ROK RAW	FCL Rays	—	113	88	18	4	0	1	15	24	7	3	0	205	364	284	648	80	258	21	13	306	37	—	—	—	—	—	—
2023	17	ROK MLE	DSL Rays	—	123	103	15	1	1	1	15	46	4	0	2	146	279	204	483	58	224	37	12	223	37	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	159	147	24	3	2	0	7	44	4	4	4	163	223	211	434	48	224	28	4	193	17	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	68	64	10	2	0	2	4	25	0	0	1	156	206	281	487	125	212	37	6	206	26	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	113	96	15	3	0	1	9	35	7	3	0	156	282	219	501	62	206	31	8	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Tampa Bay	—	159	147	24	3	2	0	7	44	4	4	4	163	223	211	434	48	224	28	4	193	17	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	68	64	10	2	0	2	4	25	0	0	1	156	206	281	487	125	212	37	6	206	26	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	113	96	15	3	0	1	9	35	7	3	0	156	282	219	501	62	206	31	8	223	37	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TB	0%	223	204	43	7	2	3	14	63	3	4	1	208	270	297	567	89	284	28	6	258	61	-10	+0	+0	+4	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TB	34%	110	100	22	4	1	2	7	31	2	2	1	213	276	313	589	100	286	28	6	267	67	-4	+0	+0	+2	+2	-0.0
2029	23	MLB MLE	TB	48%	189	171	36	6	1	3	13	52	3	4	1	217	281	326	607	110	287	28	7	274	72	-6	+0	+0	+3	+4	0.1
2030	24	MLB MLE	TB	53%	274	249	54	9	2	5	19	74	4	6	2	220	285	337	622	117	288	27	7	280	76	-8	+0	+0	+5	+6	0.3
2031	25	MLB MLE	TB	55%	336	305	67	11	2	7	23	90	5	7	2	223	288	345	633	123	289	27	7	284	79	-9	+1	+0	+6	+7	0.5
2032	26	MLB MLE	TB	56%	374	340	76	13	3	8	26	100	5	8	3	224	290	351	641	127	289	27	7	288	81	-9	+0	+0	+7	+8	0.7
2033	27	MLB MLE	TB	55%	390	354	79	13	3	9	28	104	5	8	3	223	289	349	637	126	288	27	7	286	80	-9	+0	+0	+7	+8	0.7
2034	28	MLB MLE	TB	55%	394	358	79	13	3	8	28	106	5	8	3	221	287	344	631	123	287	27	7	283	78	-10	+0	-1	+7	+9	0.5
2035	29	MLB MLE	TB	53%	390	355	78	13	3	8	27	106	5	8	3	219	284	338	621	119	286	27	7	280	75	-11	+0	-1	+7	+8	0.3
2036	30	MLB MLE	TB	53%	381	347	73	12	2	7	26	105	5	7	3	216	280	330	610	114	284	28	7	275	72	-13	+0	-2	+7	+8	0.1
2028	22	MLB CTX	TB	34%	38	34	7	1	0	1	3	11	1	1	0	215	278	314	592	99	289	29	8	268	67	-2	+0	+0	+1	+1	0.0
2029	23	MLB CTX	TB	48%	92	85	19	3	1	2	6	25	1	2	1	219	283	327	610	108	291	27	7	275	72	-3	+0	+0	+2	+2	0.1
2030	24	MLB CTX	TB	53%	144	131	30	5	1	3	10	39	2	3	1	222	287	338	624	115	292	27	7	281	76	-4	+0	+0	+3	+3	0.2
2031	25	MLB CTX	TB	55%	184	167	37	6	1	4	13	49	2	4	1	225	290	345	635	121	292	27	7	285	79	-5	+0	+0	+3	+4	0.3
2032	26	MLB CTX	TB	56%	208	188	44	7	2	5	15	55	3	4	1	226	292	351	643	125	292	26	7	288	81	-5	+0	+0	+4	+5	0.4
2033	27	MLB CTX	TB	55%	215	195	45	7	2	5	15	58	3	5	2	225	291	349	639	124	292	27	7	287	80	-5	+0	+0	+4	+5	0.4
2034	28	MLB CTX	TB	55%	215	195	43	7	2	4	15	58	3	4	2	223	288	344	633	121	291	27	7	284	78	-6	+0	-0	+4	+5	0.3
2035	29	MLB CTX	TB	53%	208	188	41	7	1	4	15	57	3	4	2	221	286	338	623	117	289	27	7	281	75	-6	+0	-1	+4	+5	0.1
2036	30	MLB CTX	TB	53%	200	182	39	6	1	4	14	55	2	4	2	218	282	330	612	112	287	28	7	276	72	-7	+0	-1	+4	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1504	1365	305	49	11	32	106	407	20	31	12	223	289	346	635	122	293	27	7	282	70	-42	+1	-2	+27	+33	1.7
/ 162G	—	A+C		—	650	590	132	21	5	14	46	176	9	13	5	224	290	347	638	124	293	27	7	282	70	-18	+1	-1	+12	+14	0.7
Career	—	MLE		—	3361	3041	639	105	23	62	236	935	55	66	28	210	279	321	600	111	279	28	7	271	70	-82	+3	-4	+52	+63	3.2
/ 162G	—	MLE		—	650	588	123	20	4	12	46	181	11	13	5	209	280	318	598	109	278	28	7	271	70	-19	+1	-1	+12	+14	0.7

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 ROKFCL Rays · 113 PAwOBA .308 → .223 (−84)K% 21.2% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.24%	÷1.000	×1.440	—	—	30.58%
BB% (unintentional) /PA	13.27%	÷1.000	×0.620	—	×0.985	8.11%
HBP% /PA	6.19%	—	×0.720	—	×0.985	4.39%
Singles /BIP	20.31%	÷1.000	×0.820	×1.022	×0.985	16.76%
Doubles /BIP	6.25%	÷1.000	×0.720	×1.022	×0.985	4.53%
Triples /BIP	0.00%	÷1.000	×0.720	×1.022	×0.985	0.00%
Home runs /BIP	1.56%	÷1.000	×0.780	—	×0.985	1.20%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .308 → .223; ISO .080 → .059; BABIP .258 → .206. 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 ROKFCL Rays · 68 PAwOBA .288 → .206 (−82)K% 25.0% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.985	×1.440	—	—	36.55%
BB% (unintentional) /PA	10.29%	÷0.991	×0.620	—	×0.995	6.41%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	18.18%	÷1.018	×0.820	×1.050	×0.995	15.30%
Doubles /BIP	6.82%	÷1.026	×0.720	×1.050	×0.995	5.00%
Triples /BIP	0.00%	÷1.150	×0.720	×1.050	×0.995	0.00%
Home runs /BIP	4.55%	÷0.809	×0.780	—	×0.995	4.36%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 62, 1B 104, 2B 105, 3B 130, K 97, BB 98 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .288 → .206; ISO .148 → .115; BABIP .262 → .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).

2024 DSLDSL Tampa Bay · 159 PAwOBA .275 → .193 (−82)K% 22.0% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.01%	÷0.975	×1.220	—	—	27.55%
BB% (unintentional) /PA	6.29%	÷1.011	×0.700	—	×0.995	4.33%
HBP% /PA	2.52%	—	×0.700	—	×0.995	1.75%
Singles /BIP	25.00%	÷0.963	×0.680	×1.050	×0.995	18.45%
Doubles /BIP	3.70%	÷0.945	×0.600	×1.050	×0.995	2.46%
Triples /BIP	2.78%	÷0.900	×0.600	×1.050	×0.995	1.93%
Home runs /BIP	0.00%	÷0.982	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 93, 2B 89, 3B 80, K 95, BB 102 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .275 → .193; ISO .070 → .047; BABIP .309 → .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).

2023 DSLDSL Rays · 123 PAwOBA .334 → .223 (−111)K% 30.1% → 37.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.08%	÷0.987	×1.220	—	—	37.19%
BB% (unintentional) /PA	17.07%	÷0.984	×0.700	—	×1.008	12.24%
HBP% /PA	3.25%	—	×0.700	—	×1.008	2.29%
Singles /BIP	28.33%	÷1.005	×0.680	×1.007	×1.008	19.46%
Doubles /BIP	1.67%	÷0.993	×0.600	×1.007	×1.008	1.02%
Triples /BIP	3.33%	÷1.035	×0.600	×1.007	×1.008	1.96%
Home runs /BIP	3.33%	÷0.938	×0.470	—	×1.008	1.68%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 101, 2B 99, 3B 107, K 97, BB 97 — 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 ×1.007.

Result: wOBA .334 → .223; ISO .113 → .061; BABIP .339 → .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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Chris Widger'95-'06 * career totals — 8 seasons, 1,998 PA	3.0	1,998	55	10	227*	283*	381*	+33	-0	3.6	4.1
/162	664	18	3	+11.1	-0.2	1.2	pk7: 5
#4Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.4	1,564	32	32	221	283	340	+28	+24	2.8	2.8
/162	664	13	14	+11.9	+10.2	1.2	pk7: 3
#5Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#6Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	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
Alfredo Rodriguez (OGILVIE)	21	—	—	—	—	206/268/294	88	284	1	1	28%	6%	61	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Angel Ortiz 2024 · A	21	40→45	39→50	47→45	40	197/244/283	86	268	6	8	28%	6%	48	-2.5	228/285/354	126	301	11	6	26%	7%	80	-0.1	227/286/370	143	294	13	8	26%	7%	82	+0.0
✕Derrick Mitchell 2008 · A	21	39→47	39→50	46→55	38	192/246/277	84	273	6	9	31%	5%	48	-2.5	200/239/321	121	260	11	10	27%	4%	55	-1.9	215/265/343	128	275	14	19	26%	5%	68	-0.7
✕Luis De Los Santos 2019 · A	21	40→50	40→45	53→45	35	195/239/284	89	270	7	8	30%	4%	47	-2.6	201/245/304	103	287	9	7	32%	4%	53	-2.1	222/288/333	111	299	11	7	28%	7%	74	-0.3
✕Kyle Nevin 2023 · A	21	41→40	40	52→50	39	199/251/297	98	277	6	10	29%	5%	54	-2.0	219/276/320	101	333	8	10	34%	7%	69	-0.9	214/275/310	96	327	9	12	35%	7%	64	-0.8
✕Chris Roller 2018 · A	21	37	37→45	53→55	45	177/253/254	77	242	4	12	27%	8%	46	-2.6	204/272/316	112	294	8	11	31%	7%	67	-1.1	189/255/293	104	275	7	15	32%	6%	54	-1.0
✕Jalen Miller 2018 · A	21	39→44	39→45	47→50	38	192/234/281	89	260	6	7	28%	5%	44	-2.8	207/251/318	111	274	11	12	28%	5%	59	-1.7	184/243/300	116	238	12	18	28%	7%	49	-1.5
✕Luis Valenzuela 2015 · A	21	40	37→45	55→45	39	195/234/270	75	262	4	7	27%	5%	40	-3.0	244/269/336	92	305	5	7	21%	3%	69	-0.9	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕Imbewer Alvarez 2007 · A	21	39	38→40	45→55	39	187/243/268	81	270	4	8	31%	6%	45	-2.7	194/262/265	71	270	4	15	28%	7%	51	-2.2	186/265/247	62	244	4	22	24%	8%	47	-0.7
✕Narciso Crook 2016 · A	21	38→43	42→50	53→50	32	191/223/294	104	286	9	12	36%	4%	42	-2.9	201/247/311	110	301	10	10	35%	5%	56	-1.9	211/273/363	152	309	16	14	35%	6%	75	-0.3
✕Orlando Calixte 2012 · A	20	40→50	37→45	48→55	40	197/241/263	66	270	6	11	29%	6%	42	-2.9	218/258/331	113	299	10	10	29%	5%	64	-1.3	225/267/312	87	298	9	20	27%	5%	61	-0.7
✕Monte Harrison 2017 · A	21	38→45	39→50	52→60	35	178/247/260	82	307	6	14	41%	6%	45	-2.7	209/266/337	128	339	14	19	40%	5%	70	-0.8	201/270/324	123	349	15	41	43%	7%	65	-0.6
✕David Kandilas 2011 · A	20	41→44	38→45	51→55	39	199/238/277	78	271	5	10	28%	5%	44	-2.8	216/269/318	102	283	7	15	25%	6%	65	-1.2	214/274/312	98	280	7	19	25%	7%	64	-0.8
✕Emmanuel Rivera 2017 · A	21	40→50	37→55	49→45	43	190/249/266	76	264	3	10	28%	7%	47	-2.6	242/280/349	107	304	9	5	23%	4%	76	-0.4	245/302/402	158	292	18	4	22%	7%	97	+0.8
✕Jesus Lopez 2018 · A	21	41	38→50	49→40	38	198/237/277	79	273	5	7	29%	5%	43	-2.8	207/249/326	119	255	13	6	24%	5%	60	-1.6	185/225/313	128	214	16	2	22%	4%	45	-1.4
✕Emilio Guerrero 2013 · A	20	37→42	37→45	47→45	38	179/229/252	73	261	4	7	32%	5%	35	-3.4	214/260/304	90	295	7	8	28%	5%	59	-1.7	221/259/335	114	296	9	5	28%	4%	63	-0.7
✕Brandon Barnes 2006 · A	20	38→48	38→55	47→50	37	184/237/265	81	266	6	6	32%	5%	42	-2.9	182/229/257	75	281	5	7	35%	5%	36	-3.3	242/288/365	123	327	11	16	28%	5%	83	+0.1
✕Edward Salcedo 2011 · A	20	40→43	39→45	51→50	39	191/245/278	87	283	5	12	33%	6%	47	-2.5	207/252/329	122	283	12	14	30%	5%	62	-1.4	194/246/302	107	249	11	14	26%	6%	52	-1.5
✕Leandro Pineda 2023 · A	21	36→46	39→50	48→45	42	174/249/268	95	270	5	6	35%	8%	47	-2.5	202/266/320	118	277	11	6	30%	7%	66	-1.1	218/291/356	137	276	14	5	25%	7%	81	-0.0
✕Jose Meza 2023 · A	20	37→42	39→40	48→50	44	183/255/263	80	245	6	10	27%	7%	49	-2.4	199/291/294	95	292	8	8	32%	10%	70	-0.8	186/290/280	94	280	9	10	33%	11%	66	-0.7
✕Javier Castillo 2006 · A	22	39→49	38→45	47→45	37	189/237/265	76	271	5	6	31%	5%	41	-3.0	225/269/332	107	296	8	7	26%	5%	68	-1.0	241/285/359	118	310	9	6	24%	5%	78	-0.2

Alfredo Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps