Yeremy Cabrera

CF Wilmington Blue Rocks

Age 22 L/L 5'11" / 155 lbs A+ Svc 0.0 · Ctrl thru 2034

Overview

A+PROSPECTMiLBFA 2035

OGV OFP35OGV rank#1436ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	A/ROK2 orgs	304	.262/.400/.463	9	24	73	—	.193/.300/.337
2025	20	ATEX	451	.256/.365/.366	8	43	63	—	.210/.296/.292
2026	21	A+/AWSH	503	.251/.350/.404	12	52	59	—	.196/.266/.317
2027PROJMLE	22	MLBWSH	1	.192/.269/.294	0	0	61	-0.0
2028PROJ25% MLB	23	MLBWSH	119	.198/.275/.311	2	6	67	-0.1
2029PROJ36% MLB	24	MLBWSH	191	.203/.280/.322	4	9	72	0.1

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$2M2033Arb-2$3M2034Arb-3$2M

Skills · percentileMiLB Statcast 2026 A+

Speed89

Chase%42

K%35

BB%34

Whiff%34

Z-Con%29

Career WAR0.0 WAR median (P10 -0.3 / P90 3.9, comp-based) · star 2% · didn't stick 84%

CompsMichael Siani (age 23) · Jean Ramirez (age 22) · Cooper Bowman (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†61

AVG/OBP/SLG.192 / .269 / .294

PA1

HR0

K%32

BB%8

BABIP272

ISO106

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$2M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2032	Arb-1	$2M	+0.3	$0.8M	+$0.0M (cut)
2033	Arb-2	$3M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-3	$2M	—	—	—
Totals		$2M		$3M	+$0.3M

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 TEX Red	—	172	140	25	3	3	2	26	29	5	11	3	179	327	286	613	107	211	17	15	291	18	—	—	—	—	—	—
2023	18	ROK	DSL Rangers Red	—	211	170	56	6	6	7	33	28	4	9	6	329	449	559	1.008	229	358	13	16	433	71	—	—	—	—	—	—
2024	19	A	Down East Wood Ducks	—	94	81	15	3	1	0	8	28	5	7	0	185	298	247	545	62	283	30	9	263	27	—	—	—	—	—	—
2024	19	ROK	ACL Rangers	—	210	163	49	11	3	9	40	42	3	17	4	301	447	571	1.017	270	345	20	19	435	93	—	—	—	—	—	—
2025	20	A	Hickory Crawdads	—	451	383	98	12	3	8	52	86	14	43	4	256	365	366	731	110	310	19	12	336	63	—	—	—	—	—	—
2026	21	A+	Wilmington Blue Rocks	—	361	320	71	10	3	5	36	98	1	34	4	222	303	319	621	97	299	27	10	282	29	—	—	—	—	—	—
2026	21	A	Fredericksburg Nationals	—	142	111	37	10	2	7	28	35	1	18	2	333	471	649	1.120	315	423	25	20	473	135	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL TEX Red	—	172	148	17	2	2	1	18	36	5	11	3	115	234	176	410	61	144	21	10	195	18	—	—	—	—	—	—
2023	18	ROK MLE	DSL Rangers Red	—	211	181	37	4	3	3	22	35	4	9	6	204	304	309	614	105	223	17	10	273	71	—	—	—	—	—	—
2024	19	A MLE	Down East Wood Ducks	—	94	83	13	2	1	0	6	37	5	7	0	157	255	205	460	48	272	39	6	208	27	—	—	—	—	—	—
2024	19	ROK MLE	ACL Rangers	—	210	177	37	8	2	7	26	61	3	17	4	209	320	395	716	186	249	29	12	305	93	—	—	—	—	—	—
2025	20	A MLE	Hickory Crawdads	—	451	400	84	9	3	6	35	119	14	43	4	210	296	292	589	82	276	26	8	261	63	—	—	—	—	—	—
2026	21	A+ MLE	Wilmington Blue Rocks	—	361	334	56	7	2	4	22	129	1	34	4	168	221	237	458	69	253	36	6	211	29	—	—	—	—	—	—
2026	21	A MLE	Fredericksburg Nationals	—	142	119	32	8	2	6	20	48	1	18	2	269	379	521	900	252	357	34	14	367	135	—	—	—	—	—	—
2022	17	ROK MLE	DSL TEX Red	—	172	148	17	2	2	1	18	36	5	11	3	115	234	176	410	61	144	21	10	195	18	—	—	—	—	—	—
2022	17	ROK RAW	DSL TEX Red	—	172	140	25	3	3	2	26	29	5	11	3	179	327	286	613	107	211	17	15	291	18	—	—	—	—	—	—
2023	18	ROK MLE	DSL Rangers Red	—	211	181	37	4	3	3	22	35	4	9	6	204	304	309	614	105	234	17	10	273	71	—	—	—	—	—	—
2023	18	ROK RAW	DSL Rangers Red	—	211	170	56	6	6	7	33	28	4	9	6	329	449	559	1.008	229	358	13	16	433	71	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	304	260	50	10	3	7	32	98	8	24	4	192	300	335	635	142	270	32	11	275	72	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	304	244	64	14	4	9	48	70	8	24	4	262	400	463	863	201	325	23	16	382	72	—	—	—	—	—	—
2025	20	A MLE	Hickory Crawdads	—	451	400	84	9	3	6	35	119	14	43	4	210	296	292	589	82	283	26	8	261	63	—	—	—	—	—	—
2025	20	A RAW	Hickory Crawdads	—	451	383	98	12	3	8	52	86	14	43	4	256	365	366	731	110	310	19	12	336	63	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	503	453	88	15	4	10	42	176	2	52	6	194	266	311	577	117	286	35	8	255	59	—	—	—	—	—	—
2026	21	A+ RAW	2 teams	—	503	431	108	20	5	12	64	133	2	52	6	251	350	404	754	153	329	26	13	336	59	—	—	—	—	—	—
2022	17	ROK MLE	DSL TEX Red	—	172	147	17	2	2	1	18	36	5	11	3	116	234	177	411	61	144	21	10	195	18	—	—	—	—	—	—
2023	18	ROK MLE	DSL Rangers Red	—	211	183	37	4	3	3	22	35	4	9	6	202	304	306	610	104	223	17	10	273	71	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	304	261	50	10	3	7	32	98	8	24	4	192	300	333	633	142	256	32	11	275	72	—	—	—	—	—	—
2025	20	A MLE	Hickory Crawdads	—	451	399	84	9	3	6	35	119	14	43	4	211	296	293	589	83	276	26	8	261	63	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	503	454	88	15	4	10	42	176	2	52	6	194	266	311	576	117	282	35	8	255	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	2 teams	—	304	261	50	10	3	7	32	98	8	24	4	192	300	333	633	142	256	32	11	275	72	—	—	—	—	—	—
2025	20	A MLE	Hickory Crawdads	—	451	399	84	9	3	6	35	119	14	43	4	211	296	293	589	83	276	26	8	261	63	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	503	454	88	15	4	10	42	176	2	52	6	194	266	311	576	117	282	35	8	255	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	WSH	0%	613	550	107	17	4	11	50	194	8	30	4	193	269	296	566	103	273	32	8	258	61	-28	+4	+0	+2	+13	-0.1
▸ 2027 — real world (MLB)
2027	22	MLB CTX	WSH	0%	1	1	0	0	0	0	0	0	0	0	0	192	269	294	562	101	272	0	0	257	61	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	WSH	25%	472	424	85	14	3	10	39	145	6	22	3	199	276	313	589	114	275	31	8	268	67	-18	+3	+1	+2	+10	-0.2
2029	24	MLB MLE	WSH	36%	525	470	95	15	3	12	44	158	6	24	3	204	281	325	606	121	276	30	8	274	72	-18	+4	+2	+2	+11	0.1
2030	25	MLB MLE	WSH	43%	560	501	104	17	4	13	47	166	7	24	3	206	284	331	615	125	277	30	8	278	74	-17	+4	+3	+2	+12	0.4
2031	26	MLB MLE	WSH	47%	578	517	109	18	4	14	49	169	7	24	3	208	286	335	621	127	278	29	8	280	76	-17	+4	+4	+2	+13	0.5
2032	27	MLB MLE	WSH	48%	582	520	109	18	3	14	50	169	7	23	3	209	287	336	623	127	278	29	9	281	77	-16	+3	+4	+2	+13	0.5
2033	28	MLB MLE	WSH	48%	576	515	107	18	3	13	49	169	7	19	2	208	285	332	616	124	277	29	9	279	75	-17	+3	+3	+2	+12	0.3
2034	29	MLB MLE	WSH	52%	562	503	103	17	3	12	48	166	6	16	2	205	282	326	608	121	276	30	9	275	72	-18	+2	+2	+2	+12	0.0
2035	30	MLB MLE	WSH	50%	550	493	100	16	3	12	46	165	6	13	1	202	279	319	597	116	274	30	8	271	69	-20	+2	+1	+2	+12	-0.3
2028	23	MLB CTX	WSH	25%	119	107	21	3	1	2	10	37	1	6	1	198	275	311	586	112	273	31	8	267	67	-5	+1	+0	+0	+3	-0.1
2029	24	MLB CTX	WSH	36%	191	171	35	6	1	4	16	58	2	9	1	203	280	322	602	119	275	30	8	273	72	-6	+1	+1	+1	+4	0.1
2030	25	MLB CTX	WSH	43%	240	215	44	7	1	6	20	71	3	10	1	206	283	329	612	123	276	30	8	277	74	-7	+2	+1	+1	+5	0.2
2031	26	MLB CTX	WSH	47%	269	241	49	8	1	6	23	79	3	11	1	208	285	333	618	125	277	29	9	279	76	-8	+2	+2	+1	+6	0.3
2032	27	MLB CTX	WSH	48%	277	248	52	9	1	7	24	81	3	11	1	209	286	334	620	125	277	29	9	280	77	-8	+2	+2	+1	+6	0.3
2033	28	MLB CTX	WSH	48%	278	249	51	9	1	6	24	82	3	9	1	207	284	330	614	123	277	29	9	278	75	-8	+1	+1	+1	+6	0.1
2034	29	MLB CTX	WSH	52%	292	262	53	9	1	6	25	86	3	8	1	205	281	324	605	119	275	29	9	274	72	-10	+1	+1	+1	+6	0.0
2035	30	MLB CTX	WSH	50%	275	247	49	8	1	6	23	82	3	6	1	202	278	316	595	114	274	30	8	270	69	-10	+1	+1	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1941	1740	354	59	8	43	165	576	21	70	8	203	280	321	601	117	275	30	9	275	69	-62	+11	+9	+7	+42	0.7
/ 162G	—	A+C		—	650	583	119	20	3	14	55	193	7	23	3	204	281	321	601	117	277	30	8	275	69	-21	+4	+3	+2	+14	0.2
Career	—	MLE		—	6256	5573	1125	179	42	131	538	1838	88	314	44	202	282	320	602	118	273	29	9	270	69	-151	+27	+20	+16	+100	1.2
/ 162G	—	MLE		—	650	579	117	19	4	14	56	191	9	33	5	202	283	321	604	119	272	29	9	270	69	-21	+4	+3	+2	+14	0.2

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+Wilmington Blue Rocks · 361 PAwOBA .278 → .211 (−67)K% 27.1% → 35.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.15%	÷1.000	×1.310	—	—	35.56%
BB% (unintentional) /PA	9.97%	÷1.000	×0.600	—	×1.027	6.14%
HBP% /PA	0.28%	—	×0.770	—	×1.027	0.22%
Singles /BIP	23.87%	÷1.000	×0.870	×0.966	×1.027	20.61%
Doubles /BIP	4.50%	÷1.000	×0.780	×0.966	×1.027	3.49%
Triples /BIP	1.35%	÷1.000	×0.850	×0.966	×1.027	1.14%
Home runs /BIP	2.25%	÷1.000	×0.880	—	×1.027	2.04%

Factors used: league row South Atlantic League. 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 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 ×0.966.

Result: wOBA .278 → .211; ISO .097 → .078; BABIP .299 → .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).

2026 AFredericksburg Nationals · 142 PAwOBA .468 → .367 (−101)K% 24.6% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.65%	÷1.000	×1.360	—	—	33.52%
BB% (unintentional) /PA	19.72%	÷1.000	×0.690	—	×1.015	13.81%
HBP% /PA	0.70%	—	×0.780	—	×1.015	0.56%
Singles /BIP	23.68%	÷1.000	×0.920	×0.955	×1.015	21.12%
Doubles /BIP	13.16%	÷1.000	×0.830	×0.955	×1.015	10.59%
Triples /BIP	2.63%	÷1.000	×0.910	×0.955	×1.015	2.32%
Home runs /BIP	9.21%	÷1.000	×0.800	—	×1.015	7.48%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .468 → .367; ISO .315 → .251; BABIP .423 → .357. 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 AHickory Crawdads · 451 PAwOBA .328 → .261 (−67)K% 19.1% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.07%	÷0.981	×1.360	—	—	26.44%
BB% (unintentional) /PA	11.53%	÷1.051	×0.690	—	×1.030	7.80%
HBP% /PA	3.10%	—	×0.780	—	×1.030	2.49%
Singles /BIP	25.25%	÷1.002	×0.920	×0.972	×1.030	23.21%
Doubles /BIP	4.04%	÷1.123	×0.830	×0.972	×1.030	2.99%
Triples /BIP	1.01%	÷1.039	×0.910	×0.972	×1.030	0.89%
Home runs /BIP	2.69%	÷1.037	×0.800	—	×1.030	2.14%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 100, 2B 125, 3B 108, K 96, BB 110 — 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 ×0.972.

Result: wOBA .328 → .261; ISO .110 → .083; BABIP .310 → .276. 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 Rangers · 210 PAwOBA .432 → .305 (−127)K% 20.0% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.993	×1.440	—	—	29.00%
BB% (unintentional) /PA	19.05%	÷0.971	×0.620	—	×1.008	12.25%
HBP% /PA	1.43%	—	×0.720	—	×1.008	1.04%
Singles /BIP	21.49%	÷1.014	×0.820	×0.950	×1.008	16.62%
Doubles /BIP	9.09%	÷1.011	×0.720	×0.950	×1.008	6.20%
Triples /BIP	2.48%	÷1.150	×0.720	×0.950	×1.008	1.49%
Home runs /BIP	7.44%	÷1.040	×0.780	—	×1.008	5.62%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 103, 2B 102, 3B 130, K 99, BB 94 — 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 ×0.950.

Result: wOBA .432 → .305; ISO .270 → .194; BABIP .345 → .249. 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 ADown East Wood Ducks · 94 PAwOBA .257 → .208 (−49)K% 29.8% → 39.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.79%	÷1.022	×1.360	—	—	39.65%
BB% (unintentional) /PA	8.51%	÷0.983	×0.690	—	×1.045	6.24%
HBP% /PA	5.32%	—	×0.780	—	×1.045	4.34%
Singles /BIP	20.75%	÷0.973	×0.920	×1.004	×1.045	20.59%
Doubles /BIP	5.66%	÷0.978	×0.830	×1.004	×1.045	5.04%
Triples /BIP	1.89%	÷1.150	×0.910	×1.004	×1.045	1.57%
Home runs /BIP	0.00%	÷1.008	×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 102, 1B 95, 2B 96, 3B 130, K 104, BB 97 — 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 ×1.004.

Result: wOBA .257 → .208; ISO .062 → .047; BABIP .283 → .272. 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 Rangers Red · 211 PAwOBA .425 → .273 (−152)K% 13.3% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.27%	÷0.988	×1.220	—	—	16.39%
BB% (unintentional) /PA	15.17%	÷1.037	×0.700	—	×1.008	10.31%
HBP% /PA	1.90%	—	×0.700	—	×1.008	1.34%
Singles /BIP	26.06%	÷0.963	×0.680	×0.950	×1.008	17.61%
Doubles /BIP	4.23%	÷1.051	×0.600	×0.950	×1.008	2.31%
Triples /BIP	4.23%	÷1.126	×0.600	×0.950	×1.008	2.15%
Home runs /BIP	4.93%	÷1.056	×0.470	—	×1.008	2.21%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 93, 2B 110, 3B 125, K 98, BB 107 — 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 ×0.950.

Result: wOBA .425 → .273; ISO .229 → .118; BABIP .358 → .223. 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 TEX Red · 172 PAwOBA .285 → .195 (−89)K% 16.9% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.86%	÷0.995	×1.220	—	—	20.67%
BB% (unintentional) /PA	15.12%	÷1.016	×0.700	—	×1.022	10.64%
HBP% /PA	2.91%	—	×0.700	—	×1.022	2.08%
Singles /BIP	15.32%	÷0.996	×0.680	×1.018	×1.022	10.89%
Doubles /BIP	2.70%	÷1.009	×0.600	×1.018	×1.022	1.67%
Triples /BIP	2.70%	÷0.973	×0.600	×1.018	×1.022	1.73%
Home runs /BIP	1.80%	÷1.053	×0.470	—	×1.022	0.82%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 99, 2B 102, 3B 95, K 99, BB 103 — 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 ×1.018.

Result: wOBA .285 → .195; ISO .107 → .062; BABIP .211 → .144. 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
#1Omar Moreno'75-'86 * career totals — 11 seasons, 5,481 PA	8.3	5,481	37	487	246*	304*	367*	+13	+49	12.5	13.1
/162	664	4	59	+1.6	+6.0	1.5	pk7: 14
#2Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#3Leonys Martinlast yr '19 career totals — 8 seasons, 2,784 PA	4.2	2,784	58	126	243	301	366	+10	+53	10.7	10.8
/162	664	14	30	+2.4	+12.6	2.5	pk7: 11
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Brian Hunter'94-'03 * career totals — 9 seasons, 3,659 PA	5.5	3,659	25	260	252*	300*	337*	+1	+13	2.0	3.6
/162	664	5	47	+0.2	+2.4	0.4	pk7: 5
#6Chuck Carr'90-'97 * career totals — 6 seasons, 1,914 PA	2.9	1,914	13	144	242*	306*	331*	+6	+20	2.6	2.6
/162	664	5	50	+2.1	+7.1	0.9	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.9	1,942	44	70	207	280	330	+7	+12	1.0	1.1
/162	664	15	24	+2.4	+4.1	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
Yeremy Cabrera (OGILVIE)	22	—	—	—	—	191/267/294	102	273	4	10	32%	8%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Michael Siani 2022 · A	23	38→45	39→45	55→60	43	187/258/272	85	276	7	25	33%	8%	52	-2.2	210/281/311	101	279	9	30	26%	8%	69	-0.9	211/284/306	95	276	9	33	25%	9%	67	-0.8
✕Jean Ramirez 2023 · A	22	44→49	41→40	56→65	45	213/279/306	94	287	9	31	28%	8%	67	-1.1	212/273/286	74	303	6	23	30%	7%	59	-1.6	204/268/260	56	297	5	24	31%	8%	49	-1.3
✕Cooper Bowman 2023 · A	23	39→44	43→45	59→60	44	194/276/302	108	285	11	31	34%	9%	66	-1.1	210/284/328	118	287	11	35	29%	8%	74	-0.5	210/283/330	120	279	11	40	27%	8%	72	-0.5
✕Zach Cole 2023 · A	22	42→51	41→55	55	40	198/277/293	96	313	8	23	37%	8%	65	-1.2	200/278/352	152	340	16	22	42%	8%	78	-0.3	199/278/371	172	338	18	23	43%	8%	80	-0.1
✕Isaiah Greene 2024 · A	22	41→42	38→40	56→55	50	187/286/268	81	306	5	19	36%	12%	62	-1.4	198/272/294	96	312	7	14	35%	9%	62	-1.4	155/236/258	102	239	4	15	34%	10%	37	-0.6
✕Loidel Chapelli 2024 · A	22	39→36	43→45	56→55	46	196/271/312	116	271	10	18	30%	8%	65	-1.2	196/259/284	88	300	7	17	34%	7%	54	-2.0	176/233/238	63	279	4	20	36%	6%	31	-2.0
✕Braulio Vasquez 2022 · A	23	41	40	55→65	40	193/274/284	91	302	8	31	36%	8%	61	-1.5	218/287/317	99	301	6	26	28%	7%	73	-0.6	227/297/325	98	303	3	32	24%	8%	74	-0.3
✕Rudy Martin Jr. 2018 · A	22	47	39→45	60→65	40	214/279/301	87	335	5	30	35%	7%	65	-1.2	184/245/280	96	312	8	27	41%	6%	49	-2.4	220/296/327	107	310	12	41	30%	9%	75	-0.2
✕Eddinson Paulino 2024 · A	22	42	46→50	54→50	43	210/273/349	139	282	12	17	29%	7%	75	-0.5	202/261/322	120	278	12	13	30%	6%	64	-1.3	186/244/297	111	257	12	11	31%	6%	49	-1.3
✕Kahlil Watson 2024 · A	21	38→43	45→50	55	40	189/266/313	124	301	13	20	39%	8%	65	-1.2	204/277/348	144	305	16	20	36%	8%	77	-0.3	203/280/353	149	296	17	24	35%	8%	76	-0.3
✕Jay Allen II 2024 · A	21	41→47	39→45	58→55	42	193/283/280	87	299	7	32	35%	8%	64	-1.3	200/286/296	96	279	9	24	30%	8%	69	-0.9	202/286/304	103	275	11	24	29%	7%	68	-0.8
✕Max Ferguson 2023 · A	23	36→35	39→40	64→60	50	175/275/264	90	264	6	32	33%	11%	57	-1.8	180/260/270	90	269	8	28	33%	9%	53	-2.1	177/253/266	89	250	10	28	31%	9%	46	-1.7
✕Victor Scott II 2023 · A	22	44→54	43→40	58→65	50	212/292/336	124	282	9	19	27%	10%	79	-0.2	228/288/323	95	287	7	44	22%	6%	74	-0.5	222/287/310	87	280	7	49	22%	7%	70	-0.8
✕Sammy Siani 2023 · A	22	38→48	41→45	53→55	41	180/259/269	90	311	9	20	42%	9%	52	-2.2	199/261/295	96	299	9	17	34%	7%	58	-1.7	210/264/314	104	271	10	21	26%	7%	61	-1.0
✕Tsung-Che Cheng 2023 · A	22	48	42→45	57→55	50	227/304/340	113	301	7	21	26%	9%	84	+0.2	218/283/329	111	294	9	18	27%	8%	74	-0.6	209/274/311	102	283	9	19	28%	8%	63	-1.1
✕Esteban González 2024 · A	21	43→45	41→45	56→55	41	205/280/306	101	298	7	18	31%	7%	68	-1.0	211/269/331	120	298	10	24	31%	6%	70	-0.9	203/264/330	127	285	12	27	31%	6%	65	-0.8
✕Jorge Mateo 2017 · A	22	45→50	40→50	61→65	39	214/259/313	98	298	6	34	30%	5%	60	-1.6	205/248/327	122	300	8	28	33%	5%	59	-1.6	217/266/353	136	277	13	42	26%	5%	73	-0.4
✕Deivis Nadal 2024 · A	22	38	41→40	55	40	178/259/276	98	302	8	23	40%	8%	54	-2.0	179/249/282	103	352	9	15	47%	8%	51	-2.3	103/173/187	83	241	7	10	56%	7%	-1	-1.9
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/261	97	258	8	24	35%	14%	66	-1.1	191/307/295	104	295	8	20	33%	12%	77	-0.3	192/310/298	105	297	8	21	33%	12%	77	-0.2
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8

Yeremy Cabrera

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps