Angel Rodriguez

C DSL Tigers 2

Age 20 L/R 5'10" / 185 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1296ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Tigers 2	46	.222/.378/.250	0	0	30	—	.158/.289/.184
2025	18	ROKDSL Tigers 2	63	.265/.429/.388	1	1	53	—	.170/.302/.226
2026	19	ROKDSL Tigers 2	75	.353/.560/.490	1	3	105	—	.241/.413/.345
2027PROJMLE	20	MLB—	185	.200/.291/.273	1	2	64	0.0
2028PROJ34% MLB	21	MLB—	34	.205/.296/.288	0	0	69	0.0
2029PROJ48% MLB	22	MLB—	90	.209/.299/.301	1	1	73	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

wOBA99

BB%99

wRC+98

Chase%90

Z-Con%78

Whiff%61

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsCarlos Rodriguez (age 20) · Darrien Miller (age 20) · Omar Alfonzo (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 43 proj PA

wRC+64

AVG/OBP/SLG.198 / .289 / .271

PA43

HR0

K%30

BB%10

ISO73

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$8M 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	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2038	Arb-3	$7M	—	—	—
Totals		$3M		$4M	+$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. 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)
2024	17	ROK	DSL Tigers 2	—	46	36	8	1	0	0	8	15	1	0	0	222	378	250	628	28	364	33	17	303	30	—	—	—	—	—	—
2025	18	ROK	DSL Tigers 2	—	63	49	13	1	1	1	13	19	1	1	0	265	429	388	816	122	414	30	21	378	53	—	—	—	—	—	—
2026	19	ROK	DSL Tigers 2	—	75	51	18	4	0	1	22	15	2	3	1	353	560	490	1.050	137	486	20	29	477	105	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 2	—	46	38	6	1	0	0	6	19	1	0	0	158	289	184	473	26	248	41	13	212	30	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 2	—	63	53	9	1	1	0	9	23	1	1	0	170	302	226	528	57	274	37	14	246	53	—	—	—	—	—	—
2026	19	ROK MLE	DSL Tigers 2	—	75	58	14	3	0	1	15	18	2	3	1	241	413	345	758	103	312	24	20	324	105	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	46	38	6	1	0	0	6	19	1	0	0	158	289	184	473	26	300	41	13	212	30	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 2	—	46	36	8	1	0	0	8	15	1	0	0	222	378	250	628	28	364	33	17	303	30	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 2	—	63	53	9	1	1	0	9	23	1	1	0	170	302	226	528	57	300	37	14	246	53	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tigers 2	—	63	49	13	1	1	1	13	19	1	1	0	265	429	388	816	122	414	30	21	378	53	—	—	—	—	—	—
2026	19	ROK MLE	DSL Tigers 2	—	75	58	14	3	0	1	15	18	2	3	1	241	413	345	758	103	333	24	20	324	105	—	—	—	—	—	—
2026	19	ROK RAW	DSL Tigers 2	—	75	51	18	4	0	1	22	15	2	3	1	353	560	490	1.050	137	486	20	29	477	105	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	46	39	6	1	0	0	6	19	1	0	0	154	289	179	468	26	248	41	13	212	30	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 2	—	63	53	9	1	1	0	9	23	1	1	0	170	302	226	528	57	274	37	14	246	53	—	—	—	—	—	—
2026	19	ROK MLE	DSL Tigers 2	—	75	58	14	3	0	1	15	18	2	3	1	241	413	345	758	103	312	24	20	324	105	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tigers 2	—	46	39	6	1	0	0	6	19	1	0	0	154	289	179	468	26	248	41	13	212	30	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 2	—	63	53	9	1	1	0	9	23	1	1	0	170	302	226	528	57	274	37	14	246	53	—	—	—	—	—	—
2026	19	ROK MLE	DSL Tigers 2	—	75	58	14	3	0	1	15	18	2	3	1	241	413	345	758	103	312	24	20	324	105	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	—	0%	185	162	32	5	1	1	19	55	2	2	1	200	291	273	564	73	289	30	10	263	64	-8	+0	+0	+3	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	—	34%	98	87	18	3	1	1	10	29	1	1	0	205	296	288	583	83	291	30	10	270	69	-4	+0	+0	+2	+2	0.0
2029	22	MLB MLE	—	48%	186	163	33	5	1	2	19	54	2	2	1	209	299	301	600	92	292	29	10	276	73	-6	+0	+0	+3	+4	0.1
2030	23	MLB MLE	—	54%	281	248	52	8	2	4	28	80	3	4	1	212	302	312	614	99	293	28	10	281	77	-8	+0	+0	+5	+6	0.4
2031	24	MLB MLE	—	55%	362	319	68	11	2	6	36	102	4	5	1	216	304	321	626	106	294	28	10	286	80	-9	+1	+0	+6	+8	0.6
2032	25	MLB MLE	—	56%	407	358	79	13	3	7	41	113	5	5	2	218	306	329	635	111	294	28	10	289	82	-9	+0	+0	+7	+9	0.8
2033	26	MLB MLE	—	56%	434	383	84	14	3	8	43	121	5	5	2	218	306	331	637	113	293	28	10	290	83	-9	+0	+0	+8	+9	0.8
2034	27	MLB MLE	—	55%	445	393	85	14	3	8	44	125	5	5	2	217	305	329	633	112	293	28	10	289	82	-10	+0	+0	+8	+10	0.8
2035	28	MLB MLE	—	55%	445	393	85	14	3	8	44	126	5	3	2	215	303	324	627	109	292	28	10	286	80	-11	-0	-1	+8	+10	0.6
2036	29	MLB MLE	—	58%	439	387	81	13	2	7	44	125	5	2	1	213	300	317	617	105	290	28	10	282	77	-12	+0	-1	+8	+10	0.4
2037	30	MLB MLE	—	60%	428	379	79	13	2	7	42	123	4	1	1	209	296	309	605	100	288	29	10	277	74	-13	-0	-2	+8	+9	0.1
2038	31	MLB MLE	—	62%	394	349	71	11	2	6	38	115	4	1	1	205	291	299	590	94	285	29	10	271	70	-14	-0	-3	+7	+9	-0.2
2028	21	MLB CTX	—	34%	34	31	6	1	0	0	3	10	0	0	0	205	296	288	583	83	291	29	9	270	69	-1	+0	+0	+1	+1	0.0
2029	22	MLB CTX	—	48%	90	80	17	3	1	1	9	26	1	1	0	209	299	301	600	92	292	29	10	276	73	-3	+0	+0	+2	+2	0.1
2030	23	MLB CTX	—	54%	152	134	29	5	1	2	15	43	2	2	1	212	302	312	614	99	293	28	10	281	77	-4	+0	+0	+3	+3	0.2
2031	24	MLB CTX	—	55%	201	177	37	6	1	3	20	57	2	3	1	216	304	321	626	106	294	28	10	286	80	-5	+0	+0	+4	+4	0.3
2032	25	MLB CTX	—	56%	228	200	43	7	1	4	23	64	3	3	1	218	306	329	635	111	294	28	10	289	82	-5	+0	+0	+4	+5	0.4
2033	26	MLB CTX	—	56%	244	215	48	8	2	5	24	68	3	3	1	218	306	331	637	113	293	28	10	290	83	-5	+0	+0	+4	+5	0.5
2034	27	MLB CTX	—	55%	246	216	47	8	1	5	25	69	3	3	1	217	305	329	633	112	293	28	10	289	82	-5	+0	+0	+4	+5	0.5
2035	28	MLB CTX	—	55%	244	215	45	7	1	4	24	69	3	2	1	215	303	324	627	109	292	28	10	286	80	-6	+0	-0	+4	+5	0.3
2036	29	MLB CTX	—	58%	255	225	47	8	1	4	25	73	3	1	1	213	300	317	617	105	290	29	10	282	77	-7	-0	-1	+5	+6	0.2
2037	30	MLB CTX	—	60%	258	228	48	8	1	4	25	74	3	0	1	209	296	309	605	100	288	29	10	277	74	-8	-0	-1	+5	+6	0.1
2038	31	MLB CTX	—	62%	243	215	44	7	1	4	24	71	2	0	0	205	291	299	590	94	285	29	10	271	70	-9	+0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2195	1936	411	68	11	36	217	624	25	18	8	212	300	315	614	102	292	28	10	283	77	-58	+0	-4	+39	+48	2.5
/ 162G	—	A+C		—	650	573	122	20	3	11	64	185	7	5	2	213	299	316	615	103	292	28	10	283	77	-17	+0	-1	+12	+14	0.7
Career	—	MLE		—	4146	3647	771	125	25	65	423	1186	47	39	15	211	301	313	614	101	292	29	10	282	77	-106	+1	-7	+71	+86	4.6
/ 162G	—	MLE		—	650	572	121	20	4	10	66	186	7	6	2	212	301	313	614	101	293	29	10	282	77	-17	+0	-1	+12	+14	0.8

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 DSLDSL Tigers 2 · 75 PAwOBA .467 → .324 (−143)K% 20.0% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.000	×1.220	—	—	24.40%
BB% (unintentional) /PA	29.33%	÷1.000	×0.700	—	×0.985	20.23%
HBP% /PA	2.67%	—	×0.700	—	×0.985	1.84%
Singles /BIP	36.11%	÷1.000	×0.680	—	×0.985	24.19%
Doubles /BIP	11.11%	÷1.000	×0.600	—	×0.985	6.57%
Triples /BIP	0.00%	÷1.000	×0.600	—	×0.985	0.00%
Home runs /BIP	2.78%	÷1.000	×0.470	—	×0.985	1.29%

Factors used: level-wide DSL 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 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .467 → .324; ISO .137 → .082; BABIP .486 → .312. 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 DSLDSL Tigers 2 · 63 PAwOBA .370 → .246 (−124)K% 30.2% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.16%	÷0.991	×1.220	—	—	37.13%
BB% (unintentional) /PA	20.63%	÷0.974	×0.700	—	×0.995	14.76%
HBP% /PA	1.59%	—	×0.700	—	×0.995	1.11%
Singles /BIP	33.33%	÷0.994	×0.680	—	×0.995	22.68%
Doubles /BIP	3.33%	÷0.962	×0.600	—	×0.995	2.07%
Triples /BIP	3.33%	÷0.900	×0.600	—	×0.995	2.21%
Home runs /BIP	3.33%	÷1.048	×0.470	—	×0.995	1.49%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 99, 2B 92, 3B 80, K 98, BB 95 — 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).

Result: wOBA .370 → .246; ISO .122 → .066; BABIP .414 → .274. 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 Tigers 2 · 46 PAwOBA .303 → .212 (−91)K% 32.6% → 40.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.61%	÷0.986	×1.220	—	—	40.34%
BB% (unintentional) /PA	17.39%	÷0.973	×0.700	—	×1.008	12.61%
HBP% /PA	2.17%	—	×0.700	—	×1.008	1.53%
Singles /BIP	33.33%	÷0.995	×0.680	—	×1.008	22.96%
Doubles /BIP	4.76%	÷0.951	×0.600	—	×1.008	3.03%
Triples /BIP	0.00%	÷1.135	×0.600	—	×1.008	0.00%
Home runs /BIP	0.00%	÷0.995	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 90, 3B 127, K 97, BB 95 — 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).

Result: wOBA .303 → .212; ISO .028 → .018; BABIP .364 → .248. 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
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt 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
#3Sandy 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
#4Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.4	2,238	37	19	214	298	319	+40	+28	4.3	4.0
/162	664	11	6	+11.9	+8.3	1.3	pk7: 4
#5Ben 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
#6Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
/162	664	11	0	+11.4	-0.0	0.8	pk7: 4

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
Angel Rodriguez (OGILVIE)	20	—	—	—	—	198/289/271	72	289	0	1	30%	10%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Omar Alfonzo 2023 · A	19	35→41	36→45	48→40	50	170/265/234	64	247	4	3	30%	10%	47	-2.6	207/288/311	104	312	11	4	34%	10%	72	-0.7	205/285/317	112	311	13	2	36%	9%	70	-0.6
✕Yasmil Bucce 2024 · A	19	41	38→55	49→40	44	194/265/274	79	279	5	4	30%	8%	55	-2.0	199/299/306	107	308	10	4	35%	11%	76	-0.4	192/301/328	137	300	16	2	37%	12%	79	-0.1
✕Jhostynxon Garcia 2023 · A	20	36→44	40→50	47→50	46	175/264/271	96	263	7	8	34%	10%	55	-2.0	204/267/339	135	290	14	10	33%	7%	70	-0.8	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Leandro Pineda 2022 · A	20	35→45	36→50	43→45	48	168/257/234	66	242	4	7	30%	9%	44	-2.8	190/257/296	106	277	8	5	32%	7%	57	-1.8	218/291/356	137	276	14	5	25%	7%	81	-0.0
✕Michael De La Cruz 2016 · A	20	40	36→40	45→50	46	190/261/259	69	270	4	9	29%	8%	50	-2.3	191/256/256	65	306	3	10	35%	7%	47	-2.6	156/231/187	31	268	0	14	38%	8%	19	-1.5
✕Anthony Seigler 2019 · A	20	45→40	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	66	-1.1	196/276/274	78	288	5	5	30%	9%	59	-1.7	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Daniel Vellojin 2019 · A	19	38	37→45	47→45	51	180/266/253	73	238	4	6	25%	10%	51	-2.2	200/296/287	87	250	6	8	20%	10%	70	-0.8	188/295/296	108	247	11	6	26%	12%	69	-0.4
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6
✕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
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Robert Lopez 2024 · A	20	41	40→45	47→45	42	199/261/293	94	286	8	4	32%	7%	57	-1.8	199/268/282	83	298	7	5	33%	8%	57	-1.8	174/254/236	62	263	5	4	33%	9%	40	-1.0
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕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
✕Imanol Vargas 2018 · A	20	42→43	39→50	43→45	46	195/281/282	87	299	6	7	34%	10%	63	-1.3	194/285/297	103	277	9	8	30%	11%	68	-1.0	198/285/355	157	311	19	2	39%	10%	79	-0.2
✕Thomas Milone 2015 · A	20	41→46	36→45	51→55	38	195/248/268	73	295	3	10	33%	6%	46	-2.6	200/255/265	65	287	3	13	29%	6%	48	-2.5	237/293/355	117	331	8	17	29%	6%	79	-0.1
✕Pablo Aliendo 2021 · A	20	38	36→50	50→45	44	181/261/246	65	268	3	13	31%	8%	47	-2.5	202/271/300	98	303	9	5	34%	6%	63	-1.3	206/275/350	144	296	17	5	34%	7%	73	-0.3
✕Luis Valenzuela 2013 · A	19	41	37→45	51→45	45	196/255/276	80	259	4	6	25%	7%	51	-2.3	211/250/290	79	273	4	8	23%	5%	51	-2.2	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕John Whittleman 2007 · A	20	42→45	40→50	46→45	47	202/267/297	95	265	7	7	26%	8%	60	-1.6	209/290/329	120	288	11	4	28%	10%	77	-0.3	203/292/325	122	277	11	2	29%	11%	76	-0.4

Angel Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps