Victor Rodriguez

SS Rancho Cucamonga Quakes

Age 21 R/R 5'10" / 185 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKLAA	167	.221/.307/.359	1	0	26	—	.159/.221/.252
2025	19	ROKLAA	87	.203/.314/.324	2	1	19	—	.154/.233/.269
2026	20	A/ROKLAA	154	.237/.312/.504	6	1	48	—	.161/.214/.335
2027PROJMLE	21	MLBLAA	264	.183/.242/.293	5	4	49	-0.2
2028PROJ34% MLB	22	MLBLAA	50	.188/.248/.307	1	1	56	-0.1
2029PROJ48% MLB	23	MLBLAA	110	.193/.254/.319	2	2	61	-0.2

Next 3 projected WAR -0.4Projected 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

ISO81

Speed36

wOBA12

BB%12

wRC+10

Chase%8

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

CompsSteven Baron (age 21) · Sammy Hernandez (age 20) · Frank Rodriguez (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 90 proj PA

wRC+†49

AVG/OBP/SLG.181 / .240 / .290

PA90

HR2

K%34

BB%6

ISO110

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 25 / POW 49

Toolsscout grade

CONTACT25

scouting grade only

POWER49

scouting grade only

EYE48

scouting grade only

SPEED49

scouting grade only

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	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$0.0M

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 Angels	—	175	156	35	6	4	4	11	50	6	11	6	224	301	391	692	167	298	29	6	306	16	—	—	—	—	—	—
2024	18	ROK	ACL Angels	—	167	145	32	7	5	1	15	51	3	0	4	221	307	359	665	138	320	31	9	293	26	—	—	—	—	—	—
2025	19	ROK	ACL Angels	—	87	74	15	1	1	2	9	25	3	1	1	203	314	324	638	122	271	29	10	293	19	—	—	—	—	—	—
2026	20	A	Rancho Cucamonga Quakes	—	85	79	15	2	4	2	6	33	0	0	0	190	247	392	639	203	295	39	7	279	18	—	—	—	—	—	—
2026	20	ROK	ACL Angels	—	69	60	18	3	3	4	9	17	0	1	0	300	391	650	1.041	350	359	25	13	443	84	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Angels	—	175	159	22	4	2	2	8	61	6	11	6	138	208	226	435	88	195	35	5	192	16	—	—	—	—	—	—
2024	18	ROK MLE	ACL Angels	—	167	151	24	5	3	1	9	73	3	0	4	159	221	252	473	93	267	44	5	206	26	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	87	78	12	1	1	2	5	37	3	1	1	154	233	269	502	115	215	43	6	196	19	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	85	81	10	1	3	1	4	45	0	0	0	123	165	247	412	123	280	53	5	195	18	—	—	—	—	—	—
2026	20	ROK MLE	ACL Angels	—	69	63	13	2	2	3	6	24	0	1	0	206	275	444	720	238	271	35	9	292	84	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	175	159	22	4	2	2	8	61	6	11	6	138	208	226	435	88	204	35	5	192	16	—	—	—	—	—	—
2023	17	ROK RAW	DSL Angels	—	175	156	35	6	4	4	11	50	6	11	6	224	301	391	692	167	298	29	6	306	16	—	—	—	—	—	—
2024	18	ROK MLE	ACL Angels	—	167	151	24	5	3	1	9	73	3	0	4	159	221	252	473	93	284	44	5	206	26	—	—	—	—	—	—
2024	18	ROK RAW	ACL Angels	—	167	145	32	7	5	1	15	51	3	0	4	221	307	359	665	138	320	31	9	293	26	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	87	78	12	1	1	2	5	37	3	1	1	154	233	269	502	115	250	43	6	196	19	—	—	—	—	—	—
2025	19	ROK RAW	ACL Angels	—	87	74	15	1	1	2	9	25	3	1	1	203	314	324	638	122	271	29	10	293	19	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	154	144	23	3	5	4	10	69	0	1	0	160	214	333	548	174	268	45	6	238	48	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	154	139	33	5	7	6	15	50	0	1	0	237	312	504	815	266	325	32	10	352	48	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	175	159	22	4	2	2	8	61	6	11	6	138	208	226	435	88	195	35	5	192	16	—	—	—	—	—	—
2024	18	ROK MLE	ACL Angels	—	167	153	24	5	3	1	9	73	3	0	4	157	221	248	469	92	267	44	5	206	26	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	87	79	12	1	1	2	5	37	3	1	1	152	233	266	498	114	215	43	6	196	19	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	154	143	23	3	5	4	10	69	0	1	0	161	214	336	550	175	276	45	6	238	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL Angels	—	167	153	24	5	3	1	9	73	3	0	4	157	221	248	469	92	267	44	5	206	26	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	87	79	12	1	1	2	5	37	3	1	1	152	233	266	498	114	215	43	6	196	19	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	154	143	23	3	5	4	10	69	0	1	0	161	214	336	550	175	276	45	6	238	48	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	LAA	0%	264	243	46	8	3	5	17	89	2	4	1	183	242	293	535	110	264	34	6	241	49	-16	+0	+0	+3	+6	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	LAA	34%	145	134	24	4	1	3	9	48	1	2	1	189	249	308	557	119	266	33	6	251	56	-8	+0	+0	+2	+3	-0.3
2029	23	MLB MLE	LAA	48%	228	209	40	7	2	5	15	74	2	4	1	194	255	320	575	126	269	32	7	258	61	-11	+0	+0	+2	+5	-0.3
2030	24	MLB MLE	LAA	53%	311	284	56	10	3	7	21	99	3	5	2	198	260	330	590	132	271	32	7	264	65	-13	+0	+0	+3	+7	-0.3
2031	25	MLB MLE	LAA	55%	362	331	67	12	3	9	25	113	3	6	2	201	264	336	600	135	272	31	7	269	68	-14	+0	+0	+4	+8	-0.2
2032	26	MLB MLE	LAA	56%	391	357	73	13	3	10	27	120	4	7	2	204	267	341	608	138	273	31	7	272	70	-14	+1	+0	+4	+8	-0.1
2033	27	MLB MLE	LAA	55%	403	368	74	13	3	10	28	125	4	7	2	203	266	339	605	136	273	31	7	271	69	-15	+1	+0	+4	+9	-0.1
2034	28	MLB MLE	LAA	55%	406	371	74	13	3	10	28	127	4	6	2	201	264	335	599	134	272	31	7	268	68	-16	+0	-1	+4	+9	-0.3
2028	22	MLB CTX	LAA	34%	50	47	8	1	0	1	3	17	0	1	0	188	248	307	555	119	264	34	6	250	56	-3	+0	+0	+1	+1	-0.1
2029	23	MLB CTX	LAA	48%	110	101	19	3	1	2	7	36	1	2	1	193	254	319	573	126	267	33	6	257	61	-5	+0	+0	+1	+2	-0.2
2030	24	MLB CTX	LAA	53%	164	150	29	5	1	4	11	52	2	3	1	197	259	328	588	131	269	32	7	263	65	-7	+0	+0	+2	+4	-0.1
2031	25	MLB CTX	LAA	55%	198	180	36	6	2	5	14	62	2	3	1	200	263	335	598	135	270	31	7	268	68	-8	+0	+0	+2	+4	-0.1
2032	26	MLB CTX	LAA	56%	218	199	41	7	2	6	15	67	2	4	1	203	266	340	606	138	271	31	7	271	70	-8	+0	+0	+2	+5	-0.0
2033	27	MLB CTX	LAA	55%	222	203	41	7	2	6	15	69	2	4	1	202	265	338	603	136	270	31	7	270	69	-8	+0	+0	+2	+5	-0.1
2034	28	MLB CTX	LAA	55%	222	203	41	7	2	6	15	69	2	3	1	200	263	334	597	134	270	31	7	267	68	-9	+0	-0	+2	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1184	1083	215	36	10	30	80	372	11	20	6	199	261	333	594	135	269	31	7	266	58	-47	+2	-0	+13	+26	-0.7
/ 162G	—	A+C		—	650	595	117	20	5	16	44	204	6	11	3	197	259	328	587	131	267	31	7	266	58	-26	+1	-0	+7	+14	-0.4
Career	—	MLE		—	2919	2669	505	88	30	65	191	976	34	51	23	189	252	318	570	129	267	33	7	254	58	-95	+3	-1	+25	+51	-1.7
/ 162G	—	MLE		—	650	594	113	20	7	14	43	217	8	11	5	190	254	318	572	128	270	33	7	254	58	-26	+1	-0	+7	+14	-0.5

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 ARancho Cucamonga Quakes · 85 PAwOBA .271 → .195 (−76)K% 38.8% → 52.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.82%	÷1.000	×1.360	—	—	52.80%
BB% (unintentional) /PA	7.06%	÷1.000	×0.690	—	×1.030	5.02%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	15.22%	÷1.000	×0.920	×1.028	×1.030	14.82%
Doubles /BIP	4.35%	÷1.000	×0.830	×1.028	×1.030	3.82%
Triples /BIP	8.70%	÷1.000	×0.910	×1.028	×1.030	8.38%
Home runs /BIP	4.35%	÷1.000	×0.800	—	×1.030	3.58%

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 ×1.028.

Result: wOBA .271 → .195; ISO .203 → .142; BABIP .295 → .280. 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 Angels · 69 PAwOBA .431 → .292 (−138)K% 24.6% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.64%	÷1.000	×1.440	—	—	35.48%
BB% (unintentional) /PA	13.04%	÷1.000	×0.620	—	×0.995	8.05%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	18.60%	÷1.000	×0.820	—	×0.995	15.18%
Doubles /BIP	6.98%	÷1.000	×0.720	—	×0.995	5.00%
Triples /BIP	6.98%	÷1.000	×0.720	—	×0.995	5.00%
Home runs /BIP	9.30%	÷1.000	×0.780	—	×0.995	7.22%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .431 → .292; ISO .350 → .238; BABIP .359 → .271. 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 Angels · 87 PAwOBA .289 → .196 (−93)K% 28.7% → 42.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.74%	÷0.969	×1.440	—	—	42.73%
BB% (unintentional) /PA	10.34%	÷1.082	×0.620	—	×1.008	5.97%
HBP% /PA	3.45%	—	×0.720	—	×1.008	2.50%
Singles /BIP	22.45%	÷1.015	×0.820	×1.009	×1.008	18.44%
Doubles /BIP	2.04%	÷0.992	×0.720	×1.009	×1.008	1.51%
Triples /BIP	2.04%	÷1.134	×0.720	×1.009	×1.008	1.32%
Home runs /BIP	4.08%	÷0.873	×0.780	—	×1.008	3.67%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 103, 2B 98, 3B 127, K 94, BB 116 — 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 ×1.009.

Result: wOBA .289 → .196; ISO .122 → .087; BABIP .271 → .215. 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 Angels · 167 PAwOBA .291 → .206 (−85)K% 30.5% → 43.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.54%	÷1.004	×1.440	—	—	43.82%
BB% (unintentional) /PA	8.38%	÷1.026	×0.620	—	×1.022	5.18%
HBP% /PA	1.80%	—	×0.720	—	×1.022	1.32%
Singles /BIP	20.21%	÷0.958	×0.820	×1.024	×1.022	18.10%
Doubles /BIP	7.45%	÷0.966	×0.720	×1.024	×1.022	5.81%
Triples /BIP	5.32%	÷1.053	×0.720	×1.024	×1.022	3.81%
Home runs /BIP	1.06%	÷0.895	×0.780	—	×1.022	0.95%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 92, 2B 93, 3B 111, K 101, BB 105 — 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 ×1.024.

Result: wOBA .291 → .206; ISO .138 → .093; BABIP .320 → .267. 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 Angels · 175 PAwOBA .302 → .192 (−110)K% 28.6% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.002	×1.220	—	—	34.79%
BB% (unintentional) /PA	6.29%	÷1.018	×0.700	—	×1.022	4.42%
HBP% /PA	3.43%	—	×0.700	—	×1.022	2.45%
Singles /BIP	19.81%	÷1.028	×0.680	×1.017	×1.022	13.64%
Doubles /BIP	5.66%	÷0.927	×0.600	×1.017	×1.022	3.81%
Triples /BIP	3.77%	÷1.150	×0.600	×1.017	×1.022	2.05%
Home runs /BIP	3.77%	÷0.852	×0.470	—	×1.022	2.13%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 106, 2B 85, 3B 130, 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 ×1.017.

Result: wOBA .302 → .192; ISO .167 → .094; BABIP .298 → .195. 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
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Ryan 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
#3Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.9	1,274	30	21	200	259	332	+14	+15	-0.1	0.1
/162	664	16	11	+7.1	+7.8	-0.1	pk7: 0
#4David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0
#5Hector Torres'68-'77 * career totals — 9 seasons, 1,889 PA	2.8	1,889	18	7	215*	262*	312*	+16	+3	-2.1	-0.9
/162	664	6	2	+5.7	+1.2	-0.7	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Victor Rodriguez (OGILVIE)	21	20→25	44→49	44→49	48	181/240/290	109	264	2	1	34%	6%	49	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	174/218/258	84	255	7	7	34%	5%	32	-3.6	190/226/284	94	268	6	9	30%	4%	41	-3.0	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Sammy Hernandez 2024 · A	20	37	43→40	51→50	40	188/254/301	113	262	11	5	31%	6%	57	-1.8	203/291/298	95	270	8	9	26%	9%	71	-0.8	201/300/298	97	262	9	13	24%	10%	72	-0.4
✕Frank Rodriguez 2024 · A	22	35	42→45	47→30	38	180/236/279	99	250	10	4	32%	5%	45	-2.7	188/246/274	86	257	8	4	29%	6%	47	-2.5	183/244/267	84	241	9	1	27%	6%	43	-0.9
✕Brian Sanchez 2017 · A	21	37	43→50	45	42	189/257/303	113	261	11	4	31%	7%	59	-1.7	184/237/278	94	281	8	4	35%	6%	45	-2.7	133/186/201	68	218	4	0	39%	6%	6	-1.0
✕Freuddy Batista 2021 · A	21	38	39→50	48→40	36	186/240/272	87	288	7	5	36%	6%	45	-2.7	203/268/343	140	296	15	6	35%	6%	72	-0.7	195/262/337	142	285	14	5	35%	6%	66	-0.5
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
✕Izaac Pacheco 2024 · A	21	37→40	43→50	46→45	39	186/244/295	109	281	11	6	36%	7%	51	-2.2	192/261/331	139	309	16	5	40%	8%	67	-1.1	185/263/344	159	294	20	3	41%	9%	69	-0.6
✕Ethan Workinger 2023 · A	21	37→41	42→45	45	39	187/239/300	113	260	9	5	31%	6%	51	-2.3	205/255/326	121	270	13	6	28%	6%	63	-1.4	198/253/321	123	239	15	9	24%	6%	58	-1.1
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Jose Cordoba 2023 · A	20	37	41→40	44→55	40	185/250/278	93	262	9	9	32%	6%	50	-2.3	205/259/296	91	278	6	11	27%	6%	57	-1.8	203/257/294	91	267	4	15	24%	5%	53	-0.9
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	182/248/308	126	266	15	5	36%	7%	57	-1.8	208/266/323	115	283	12	4	30%	7%	66	-1.1	206/265/315	109	274	12	2	28%	7%	62	-0.6
✕Miguel Jerez 2019 · A	21	34	47→60	48→40	36	183/240/314	132	274	16	5	38%	6%	55	-2.0	169/239/291	122	273	15	3	41%	7%	50	-2.3	121/204/235	114	188	15	1	43%	7%	23	-1.8
✕Will Banfield 2021 · A	21	35→37	41→50	47→30	34	178/224/268	90	273	9	3	37%	5%	37	-3.3	182/225/295	113	262	12	3	34%	4%	44	-2.8	196/236/312	116	270	13	1	32%	4%	50	-1.4
✕Osiris Johnson 2022 · A	21	35	44→40	51→50	37	181/235/289	108	264	12	7	36%	6%	47	-2.6	192/240/283	91	267	10	11	31%	5%	47	-2.5	183/230/260	77	248	9	15	29%	5%	36	-1.5
✕Payton Henry 2018 · A	21	39→32	41→45	46→30	38	189/254/293	104	302	8	3	38%	7%	55	-2.0	185/251/286	101	320	10	2	43%	6%	53	-2.1	244/299/348	104	334	12	0	29%	5%	81	-0.0
✕Lizandro Espinoza 2024 · A	21	31→24	39→45	47→60	38	161/223/240	80	247	7	10	36%	6%	31	-3.7	167/231/270	103	253	11	20	37%	7%	42	-2.9	159/229/271	111	233	12	30	36%	7%	39	-1.8
✕Allan Cerda 2021 · A	21	43→25	40→55	47→45	44	206/283/296	90	283	7	7	28%	7%	67	-1.1	185/280/351	166	286	19	5	39%	9%	80	-0.2	159/268/326	167	242	20	5	41%	10%	67	-0.7
✕Alexander Mojica 2023 · A	20	34	42→45	47→40	40	171/251/268	96	282	10	3	40%	8%	49	-2.4	199/276/317	118	317	12	6	38%	9%	69	-0.9	182/272/311	129	282	13	3	37%	10%	63	-0.5

Victor Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps