Ricky Cabrera

SS Dayton Dragons

Age 22 R/R 6'0" / 201 lbs A+ HR +16%BB +6% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	18	A/ROKCIN	202	.346/.475/.531	5	24	109	—	.274/.381/.405
2024	19	ACIN	456	.252/.333/.399	11	19	67	—	.215/.285/.324
2025	20	A+CIN	89	.187/.282/.240	0	0	32	—	.182/.259/.234
2027PROJMLE	22	MLBCIN	387	.188/.256/.291	7	7	55	-0.1
2028PROJ25% MLB	23	MLBCIN	27	.196/.264/.312	1	0	61	-0.0
2029PROJ36% MLB	24	MLBCIN	67	.200/.269/.324	2	1	65	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2025 A+

Speed49

BB%33

K%28

Chase%18

wOBA15

ISO14

CompsLuis Carpio (age 22) · Danny Mendick (age 22) · Blake Hunt (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 91 proj PA

wRC+†55

AVG/OBP/SLG.187 / .254 / .288

PA91

HR2

K%27

BB%7

ISO103

MLB%0%

Value2027 · WAR

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

Contract

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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)
2022	17	ROK	DSL Reds	—	180	150	38	6	5	1	13	40	14	5	4	253	367	380	747	127	333	22	7	337	38	—	—	—	—	—	—
2023	18	A	Daytona Tortugas	—	27	19	6	0	0	0	5	5	3	3	0	316	519	316	834		429	19	19	412	118	—	—	—	—	—	—
2023	18	ROK	ACL Reds	—	175	143	50	7	4	5	21	35	11	21	2	350	469	559	1.028	210	437	20	12	453	108	—	—	—	—	—	—
2024	19	A	Daytona Tortugas	—	456	404	102	22	2	11	31	101	18	19	8	252	333	399	732	146	308	22	7	329	67	—	—	—	—	—	—
2025	20	A+	Dayton Dragons	—	89	75	14	2	1	0	8	25	2	0	2	187	282	240	522	53	269	28	9	238	32	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Reds	—	180	154	27	4	3	1	9	49	14	5	4	175	282	260	542	84	222	27	5	224	38	—	—	—	—	—	—
2023	18	A MLE	Daytona Tortugas	—	27	20	6	0	0	0	4	7	3	3	0	300	481	300	781		399	26	15	342	118	—	—	—	—	—	—
2023	18	ROK MLE	ACL Reds	—	175	152	41	5	3	4	12	49	11	21	2	270	366	421	787	151	356	28	7	328	108	—	—	—	—	—	—
2024	19	A MLE	Daytona Tortugas	—	456	413	89	17	2	8	22	139	18	19	8	215	285	324	609	109	296	30	5	267	67	—	—	—	—	—	—
2025	20	A+ MLE	Dayton Dragons	—	89	77	14	2	1	0	6	32	2	0	2	182	259	234	493	52	268	36	7	216	32	—	—	—	—	—	—
2022	17	ROK MLE	DSL Reds	—	180	154	27	4	3	1	9	49	14	5	4	175	282	260	542	84	245	27	5	224	38	—	—	—	—	—	—
2022	17	ROK RAW	DSL Reds	—	180	150	38	6	5	1	13	40	14	5	4	253	367	380	747	127	333	22	7	337	38	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	202	172	46	5	3	4	16	56	14	24	2	267	376	401	777	134	375	28	8	330	109	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	202	162	56	7	4	5	26	40	14	24	2	346	475	531	1.006	185	436	20	13	448	109	—	—	—	—	—	—
2024	19	A MLE	Daytona Tortugas	—	456	413	89	17	2	8	22	139	18	19	8	215	285	324	609	109	301	30	5	267	67	—	—	—	—	—	—
2024	19	A RAW	Daytona Tortugas	—	456	404	102	22	2	11	31	101	18	19	8	252	333	399	732	146	308	22	7	329	67	—	—	—	—	—	—
2025	20	A+ MLE	Dayton Dragons	—	89	77	14	2	1	0	6	32	2	0	2	182	259	234	493	52	298	36	7	216	32	—	—	—	—	—	—
2025	20	A+ RAW	Dayton Dragons	—	89	75	14	2	1	0	8	25	2	0	2	187	282	240	522	53	269	28	9	238	32	—	—	—	—	—	—
2022	17	ROK MLE	DSL Reds	—	180	155	27	4	3	1	9	49	14	5	4	174	282	258	541	84	222	27	5	224	38	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	202	170	46	5	3	4	16	56	14	24	2	271	376	406	782	135	362	28	8	330	109	—	—	—	—	—	—
2024	19	A MLE	Daytona Tortugas	—	456	413	89	17	2	8	22	139	18	19	8	215	285	324	609	109	296	30	5	267	67	—	—	—	—	—	—
2025	20	A+ MLE	Dayton Dragons	—	89	81	14	2	1	0	6	32	2	0	2	173	259	222	481	49	268	36	7	216	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Daytona Tortugas	—	456	413	89	17	2	8	22	139	18	19	8	215	285	324	609	109	296	30	5	267	67	—	—	—	—	—	—
2025	20	A+ MLE	Dayton Dragons	—	89	81	14	2	1	0	6	32	2	0	2	173	259	222	481	49	268	36	7	216	32	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	CIN	0%	387	352	67	13	2	7	26	103	6	7	2	188	256	291	547	103	243	27	7	249	55	-21	+1	-1	+4	+8	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	CIN	25%	107	97	20	4	1	2	7	28	2	2	1	194	262	306	568	112	247	26	7	258	61	-5	+0	-0	+1	+2	-0.2
2029	24	MLB MLE	CIN	36%	185	167	33	6	1	4	13	48	3	3	1	198	268	317	584	118	250	26	7	264	65	-8	+0	-0	+2	+4	-0.2
2030	25	MLB MLE	CIN	43%	260	236	47	9	1	6	18	66	4	5	2	201	271	324	595	122	252	25	7	269	68	-10	+0	-1	+3	+6	-0.2
2031	26	MLB MLE	CIN	47%	320	289	59	11	2	7	23	81	5	6	2	203	274	328	601	124	254	25	7	271	70	-12	+0	-1	+3	+7	-0.1
2032	27	MLB MLE	CIN	48%	353	319	65	12	2	8	26	90	5	6	2	205	275	329	604	125	255	25	7	273	71	-12	+0	-1	+4	+8	-0.1
2033	28	MLB MLE	CIN	48%	368	333	68	13	2	8	27	94	5	5	2	203	273	325	598	122	255	26	7	270	69	-14	+0	-1	+4	+8	-0.3
2028	23	MLB CTX	CIN	25%	27	25	5	1	0	1	2	7	0	0	0	196	264	312	577	117	247	26	7	261	61	-1	+0	-0	+0	+1	-0.0
2029	24	MLB CTX	CIN	36%	67	61	12	2	0	2	5	17	1	1	0	200	269	324	593	123	251	25	7	268	65	-3	+0	-0	+1	+1	-0.1
2030	25	MLB CTX	CIN	43%	111	100	21	4	1	3	8	28	2	2	1	203	273	331	604	128	253	25	7	272	68	-4	+0	-0	+1	+2	-0.1
2031	26	MLB CTX	CIN	47%	149	135	28	5	1	4	11	38	2	3	1	206	275	335	611	130	255	26	7	275	70	-5	+0	-0	+2	+3	-0.1
2032	27	MLB CTX	CIN	48%	168	151	32	6	1	4	12	43	3	3	1	207	277	337	614	130	256	26	7	276	71	-6	+0	-0	+2	+4	-0.1
2033	28	MLB CTX	CIN	48%	177	159	33	6	1	4	13	45	3	2	1	205	275	332	607	127	255	25	7	274	69	-7	+0	-1	+2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	699	631	131	24	4	18	51	178	11	11	4	208	278	344	622	136	257	25	7	273	67	-26	+1	-2	+7	+15	-0.5
/ 162G	—	A+C		—	650	587	122	22	4	17	47	166	10	10	4	208	278	346	624	138	257	26	7	273	67	-24	+1	-2	+7	+14	-0.4
Career	—	MLE		—	2611	2340	484	86	18	50	173	707	74	77	27	207	283	323	606	116	271	27	7	268	67	-65	+1	-4	+18	+36	-1.4
/ 162G	—	MLE		—	650	583	119	21	4	12	43	176	18	19	7	204	280	316	595	111	268	27	7	268	67	-25	+1	-2	+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.

2025 A+Dayton Dragons · 89 PAwOBA .238 → .216 (−22)K% 28.1% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.09%	÷0.999	×1.270	—	—	35.69%
BB% (unintentional) /PA	8.99%	÷1.006	×0.710	—	×1.027	6.52%
HBP% /PA	2.25%	—	×0.790	—	×1.027	1.82%
Singles /BIP	22.00%	÷0.987	×0.920	×1.050	×1.027	22.12%
Doubles /BIP	4.00%	÷0.928	×0.810	×1.050	×1.027	3.76%
Triples /BIP	2.00%	÷0.900	×0.850	×1.050	×1.027	2.04%
Home runs /BIP	0.00%	÷1.124	×0.800	—	×1.027	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 125, 1B 97, 2B 86, 3B 80, K 100, BB 101 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .238 → .216; ISO .053 → .052; BABIP .269 → .268. 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 ADaytona Tortugas · 456 PAwOBA .322 → .267 (−55)K% 22.1% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.15%	÷0.990	×1.360	—	—	30.43%
BB% (unintentional) /PA	6.80%	÷0.991	×0.690	—	×1.030	4.88%
HBP% /PA	3.95%	—	×0.780	—	×1.030	3.17%
Singles /BIP	22.11%	÷0.960	×0.920	×1.021	×1.030	22.28%
Doubles /BIP	7.26%	÷1.032	×0.830	×1.021	×1.030	6.14%
Triples /BIP	0.66%	÷0.918	×0.910	×1.021	×1.030	0.69%
Home runs /BIP	3.63%	÷1.078	×0.800	—	×1.030	2.78%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 92, 2B 106, 3B 84, K 98, BB 98 — 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 ×1.021.

Result: wOBA .322 → .267; ISO .146 → .110; BABIP .308 → .296. 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 ROKACL Reds · 175 PAwOBA .441 → .328 (−113)K% 20.0% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.027	×1.440	—	—	28.05%
BB% (unintentional) /PA	11.43%	÷1.040	×0.620	—	×1.008	6.87%
HBP% /PA	6.29%	—	×0.720	—	×1.008	4.56%
Singles /BIP	31.48%	÷1.004	×0.820	×1.050	×1.008	27.20%
Doubles /BIP	6.48%	÷1.038	×0.720	×1.050	×1.008	4.75%
Triples /BIP	3.70%	÷1.150	×0.720	×1.050	×1.008	2.45%
Home runs /BIP	4.63%	÷1.059	×0.780	—	×1.008	3.44%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 101, 2B 108, 3B 130, K 105, BB 108 — 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 ×1.050.

Result: wOBA .441 → .328; ISO .210 → .148; BABIP .437 → .356. 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 ADaytona Tortugas · 27 PAwOBA .404 → .342 (−62)K% 18.5% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.52%	÷1.006	×1.360	—	—	25.04%
BB% (unintentional) /PA	18.52%	÷1.006	×0.690	—	×1.045	13.28%
HBP% /PA	11.11%	—	×0.780	—	×1.045	9.06%
Singles /BIP	42.86%	÷1.032	×0.920	—	×1.045	39.92%
Doubles /BIP	0.00%	÷1.100	×0.830	—	×1.045	0.00%
Triples /BIP	0.00%	÷1.083	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.060	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 106, 2B 120, 3B 117, K 101, BB 101 — 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).

Result: wOBA .404 → .342; ISO .000 → .000; BABIP .429 → .399. 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).

2022 DSLDSL Reds · 180 PAwOBA .333 → .224 (−109)K% 22.2% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.989	×1.220	—	—	27.41%
BB% (unintentional) /PA	7.22%	÷1.045	×0.700	—	×1.008	4.87%
HBP% /PA	7.78%	—	×0.700	—	×1.008	5.49%
Singles /BIP	23.64%	÷1.019	×0.680	×1.046	×1.008	16.63%
Doubles /BIP	5.45%	÷1.054	×0.600	×1.046	×1.008	3.27%
Triples /BIP	4.55%	÷1.087	×0.600	×1.046	×1.008	2.64%
Home runs /BIP	0.91%	÷0.932	×0.470	—	×1.008	0.46%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 104, 2B 111, 3B 117, K 98, BB 109 — 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 ×1.046.

Result: wOBA .333 → .224; ISO .127 → .074; BABIP .333 → .222. 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
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.1	700	16	11	203	270	326	+8	-4	0.2	0.2
/162	664	15	11	+7.1	-3.8	0.2	pk7: 0
#2Pedro Garcia'73-'77 * career totals — 5 seasons, 1,967 PA	3.0	1,967	37	35	220*	270*	388*	+6	-6	-0.3	-0.3
/162	664	12	12	+2.1	-2.0	-0.1	pk7: -0
#3Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#4Johnnie LeMaster'75-'87 * career totals — 11 seasons, 3,515 PA	5.3	3,515	22	94	218*	275*	313*	+37	-13	-3.1	-0.9
/162	664	4	18	+7.0	-2.4	-0.6	pk7: 1
#5Alexi 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
#6Jackie Hernandez'65-'73 * career totals — 6 seasons, 1,609 PA	2.4	1,609	12	25	212*	258*	298*	+16	-16	-5.1	-3.5
/162	664	5	10	+6.6	-6.8	-2.1	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
Ricky Cabrera (OGILVIE)	22	—	—	—	—	187/254/288	102	243	2	2	27%	7%	55	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Carpio 2019 · A	22	40→43	41→45	44→50	45	196/255/290	94	253	8	9	26%	7%	54	-2.0	217/278/314	97	285	8	7	25%	7%	68	-1.0	211/272/293	83	286	6	8	27%	7%	58	-0.9
✕Danny Mendick 2016 · A	22	41→47	42→45	50	45	204/261/304	99	246	10	9	21%	6%	60	-1.6	207/263/297	90	260	7	9	22%	6%	59	-1.7	237/296/342	105	299	11	4	23%	7%	81	-0.0
✕Blake Hunt 2021 · A	22	42	40→50	49→40	44	206/262/301	95	270	7	6	26%	6%	59	-1.6	193/252/308	115	279	11	4	33%	6%	58	-1.7	215/280/358	143	272	16	1	27%	7%	77	-0.1
✕Juan Guerrero 2024 · A	22	45→55	42→45	49→50	42	221/267/329	108	270	9	11	22%	5%	68	-1.0	240/279/316	76	294	5	15	19%	5%	68	-1.0	252/289/313	61	306	4	18	18%	4%	69	-0.7
✕Francisco Acuna 2022 · A	22	38→47	39→45	48→50	45	184/277/270	87	267	6	10	31%	8%	60	-1.6	204/274/301	97	277	7	11	27%	6%	65	-1.2	213/284/310	97	279	9	16	25%	7%	68	-0.5
✕Gerson Montilla 2012 · AA	22	40→47	42→50	48→45	38	200/246/310	110	264	9	8	28%	4%	55	-1.9	222/262/343	121	268	12	6	22%	5%	69	-0.9	224/264/341	117	267	13	5	21%	5%	66	-1.0
✕Glenn Santiago 2023 · A	22	42	41→40	46→45	40	203/258/299	95	286	8	8	31%	6%	57	-1.8	200/263/285	85	289	7	9	31%	7%	56	-1.9	185/254/258	73	266	7	8	31%	7%	46	-1.1
✕Wendell Rijo 2018 · AA	22	42→45	38→50	45→50	40	202/257/283	81	278	6	11	28%	6%	53	-2.1	211/267/318	107	275	10	7	26%	6%	65	-1.2	210/267/353	143	267	17	14	28%	6%	71	-0.5
✕Wynston Sawyer 2014 · A	22	41	42→45	47→45	46	204/266/305	102	255	9	3	24%	7%	62	-1.4	214/278/311	97	270	8	5	23%	7%	68	-1.0	223/309/335	112	282	10	2	23%	8%	83	+0.0
✕Adam Abraham 2009 · A	22	38→45	44→45	49→40	43	196/257/308	112	257	12	5	28%	7%	60	-1.6	216/271/329	113	275	10	4	24%	6%	70	-0.9	223/283/338	116	279	11	2	23%	7%	74	-0.3
✕Gianfranco Wawoe 2016 · A	22	45→51	41→40	45→50	44	220/265/315	95	259	10	11	20%	5%	63	-1.3	230/269/316	86	279	8	11	20%	5%	64	-1.3	232/269/309	78	279	6	12	19%	4%	60	-1.2
✕Ronarsy Ledesma 2015 · A	22	44	41→45	47→50	41	212/262/314	102	269	7	9	24%	5%	62	-1.4	199/246/283	84	329	7	7	39%	5%	49	-2.4	179/223/234	55	313	7	10	43%	4%	26	-1.3
✕Jose Rosario 2014 · A	22	41	44→40	51→50	42	207/260/321	114	253	11	12	23%	5%	63	-1.3	235/273/320	85	293	5	9	21%	4%	67	-1.1	246/276/325	79	308	4	9	21%	3%	65	-0.7
✕Tyler Ladendorf 2010 · A	22	43→49	41→40	48→50	44	211/267/308	97	257	8	7	21%	6%	63	-1.4	213/263/301	88	279	7	9	25%	6%	59	-1.6	224/285/315	91	283	6	3	22%	7%	69	-0.4
✕Derrick Mitchell 2009 · A	22	41→47	43→50	44→55	39	207/242/322	115	247	11	7	22%	3%	57	-1.8	206/249/337	131	275	13	13	29%	5%	63	-1.4	215/265/343	128	275	14	19	26%	5%	68	-0.7
✕Steven Baron 2013 · A	22	39	41→45	50	37	194/232/294	100	263	8	10	29%	4%	46	-2.6	197/236/287	90	278	6	9	30%	5%	45	-2.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Luke Williams 2019 · A	22	41→44	38→45	50→65	42	199/251/269	70	259	6	15	25%	5%	47	-2.5	210/270/306	96	280	7	19	26%	7%	63	-1.3	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Jose Gil 2009 · A	22	43	39→45	45	40	210/250/294	85	269	6	9	24%	4%	53	-2.1	215/258/323	108	274	11	6	25%	5%	63	-1.4	216/264/335	119	264	13	3	23%	5%	65	-0.5
✕Alexander Palma 2018 · A	22	44	42→50	44→45	40	217/250/328	111	265	9	9	22%	4%	60	-1.6	237/277/379	142	288	16	8	23%	5%	83	+0.1	227/261/369	141	264	19	3	22%	4%	73	-0.3
✕Chadwick Tromp 2017 · A	22	41	43→45	43→40	37	208/243/315	107	269	11	4	27%	4%	55	-1.9	226/280/323	97	284	8	4	22%	6%	71	-0.8	234/296/333	99	289	9	2	21%	7%	77	-0.1

Ricky Cabrera

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps