Yosmar Gimenez

SS DSL Pirates Gold

Age 21 L/R 6'2" / 150 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1841ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	17	ROKDSL Pirates B…	103	.198/.363/.210	0	5	24	—	.140/.275/.151
2024	18	ROKDSL Pirates B…	128	.250/.405/.310	0	8	49	—	.178/.302/.224
2025	19	ROKDSL Pirates G…	30	.217/.333/.217	0	0	10	—	.167/.259/.167
2027PROJMLE	21	MLBPIT	140	.212/.288/.279	1	2	64	0.0
2028PROJ34% MLB	22	MLBPIT	24	.215/.292/.292	0	0	68	-0.0
2029PROJ50% MLB	23	MLBPIT	76	.219/.295/.303	1	1	72	0.0

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

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 24 proj PA

wRC+†64

AVG/OBP/SLG.210 / .286 / .277

PA24

HR0

K%26

BB%9

ISO67

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M 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	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$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 Pirates Black	—	103	81	16	1	0	0	19	17	2	5	6	198	363	210	573	12	250	17	18	287	24	—	—	—	—	—	—
2024	18	ROK	DSL Pirates Black	—	128	100	25	4	1	0	23	22	3	8	1	250	405	310	715	60	312	17	18	337	49	—	—	—	—	—	—
2025	19	ROK	DSL Pirates Gold	—	30	23	5	0	0	0	4	4	0	0	0	217	333	217	551		263	13	13	244	10	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Pirates Black	—	103	86	12	1	0	0	14	21	2	5	6	140	275	151	426	12	173	20	14	203	24	—	—	—	—	—	—
2024	18	ROK MLE	DSL Pirates Black	—	128	107	19	3	1	0	16	27	3	8	1	178	302	224	526	47	217	21	12	241	49	—	—	—	—	—	—
2025	19	ROK MLE	DSL Pirates Gold	—	30	24	4	0	0	0	3	5	0	0	0	167	259	167	426		183	17	10	183	10	—	—	—	—	—	—
2023	17	ROK MLE	DSL Pirates Black	—	103	86	12	1	0	0	14	21	2	5	6	140	275	151	426	12	185	20	14	203	24	—	—	—	—	—	—
2023	17	ROK RAW	DSL Pirates Black	—	103	81	16	1	0	0	19	17	2	5	6	198	363	210	573	12	250	17	18	287	24	—	—	—	—	—	—
2024	18	ROK MLE	DSL Pirates Black	—	128	107	19	3	1	0	16	27	3	8	1	178	302	224	526	47	232	21	12	241	49	—	—	—	—	—	—
2024	18	ROK RAW	DSL Pirates Black	—	128	100	25	4	1	0	23	22	3	8	1	250	405	310	715	60	312	17	18	337	49	—	—	—	—	—	—
2025	19	ROK MLE	DSL Pirates Gold	—	30	24	4	0	0	0	3	5	0	0	0	167	259	167	426		211	17	10	183	10	—	—	—	—	—	—
2025	19	ROK RAW	DSL Pirates Gold	—	30	23	5	0	0	0	4	4	0	0	0	217	333	217	551		263	13	13	244	10	—	—	—	—	—	—
2023	17	ROK MLE	DSL Pirates Black	—	103	86	12	1	0	0	14	21	2	5	6	140	275	151	426	12	173	20	14	203	24	—	—	—	—	—	—
2024	18	ROK MLE	DSL Pirates Black	—	128	108	19	3	1	0	16	27	3	8	1	176	302	222	524	46	217	21	12	241	49	—	—	—	—	—	—
2025	19	ROK MLE	DSL Pirates Gold	—	30	27	4	0	0	0	3	5	0	0	0	148	259	148	407		183	17	10	183	10	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Pirates Black	—	128	108	19	3	1	0	16	27	3	8	1	176	302	222	524	46	217	21	12	241	49	—	—	—	—	—	—
2025	19	ROK MLE	DSL Pirates Gold	—	30	27	4	0	0	0	3	5	0	0	0	148	259	148	407		183	17	10	183	10	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	PIT	0%	140	125	27	4	1	1	12	36	2	2	0	212	288	279	568	67	287	26	9	262	64	-6	+0	+0	+2	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	PIT	34%	70	63	14	2	1	1	6	18	1	1	0	216	292	293	585	77	288	26	9	269	68	-3	+0	+0	+1	+2	-0.0
2029	23	MLB MLE	PIT	50%	153	137	31	5	1	2	13	39	2	3	1	219	296	305	600	86	289	25	8	275	72	-5	+0	+0	+2	+3	0.0
2030	24	MLB MLE	PIT	57%	235	210	47	7	2	3	20	59	3	4	1	222	298	315	613	93	291	25	9	280	75	-7	+0	+0	+3	+5	0.1
2031	25	MLB MLE	PIT	60%	305	273	60	9	2	4	26	76	3	5	1	224	300	323	623	99	291	25	9	284	78	-8	+1	+0	+3	+7	0.3
2032	26	MLB MLE	PIT	62%	352	315	71	11	2	6	30	87	4	6	1	226	302	330	632	104	291	25	9	287	80	-8	+1	+0	+4	+8	0.4
2033	27	MLB MLE	PIT	63%	375	335	76	12	3	6	33	93	4	6	1	225	301	327	628	103	290	25	9	285	79	-9	+1	+0	+4	+8	0.4
2034	28	MLB MLE	PIT	65%	383	343	77	12	3	6	33	96	4	5	1	223	299	323	622	100	290	25	9	283	77	-10	+1	-1	+4	+8	0.2
2035	29	MLB MLE	PIT	65%	381	341	75	12	2	5	33	97	4	3	1	221	296	317	613	96	288	25	9	279	75	-11	+0	-1	+4	+8	-0.0
2028	22	MLB CTX	PIT	34%	24	22	5	1	0	0	2	6	0	0	0	215	292	292	584	76	289	25	8	268	68	-1	+0	+0	+0	+1	-0.0
2029	23	MLB CTX	PIT	50%	76	68	15	2	1	1	7	19	1	1	0	219	295	303	598	84	290	25	9	274	72	-3	+0	+0	+1	+2	0.0
2030	24	MLB CTX	PIT	57%	133	119	27	4	1	2	12	33	1	2	0	222	298	313	611	91	291	25	9	279	75	-4	+0	+0	+1	+3	0.1
2031	25	MLB CTX	PIT	60%	184	164	36	6	1	2	16	46	2	3	1	223	300	320	620	97	291	25	9	282	78	-5	+0	+0	+2	+4	0.1
2032	26	MLB CTX	PIT	62%	220	197	44	7	2	3	19	54	2	4	1	225	301	327	628	102	291	25	9	285	80	-5	+0	+0	+2	+5	0.2
2033	27	MLB CTX	PIT	63%	238	212	48	8	2	3	21	59	3	4	1	224	300	324	624	100	291	25	9	284	79	-6	+0	+0	+3	+5	0.2
2034	28	MLB CTX	PIT	65%	249	222	49	8	2	3	22	63	3	3	1	222	298	320	618	98	290	25	9	281	77	-7	+0	-0	+3	+5	0.1
2035	29	MLB CTX	PIT	65%	248	223	49	8	2	3	21	63	2	2	1	220	296	314	610	94	289	25	8	278	75	-7	+0	-1	+3	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1372	1227	273	44	11	17	120	343	14	19	5	222	299	318	617	95	293	25	9	281	73	-37	+2	-1	+15	+30	0.8
/ 162G	—	A+C		—	650	581	129	21	5	8	57	162	7	9	2	222	299	317	616	95	292	25	9	281	73	-18	+1	-1	+7	+14	0.4
Career	—	MLE		—	2539	2256	491	75	17	33	229	624	30	46	14	218	298	310	608	92	284	25	9	275	73	-63	+4	-2	+24	+49	1.3
/ 162G	—	MLE		—	650	578	125	19	4	8	59	160	8	12	4	216	299	304	603	88	283	25	9	275	73	-18	+1	-1	+7	+14	0.4

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 DSLDSL Pirates Gold · 30 PAwOBA .239 → .183 (−56)K% 13.3% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷0.975	×1.220	—	—	16.69%
BB% (unintentional) /PA	13.33%	÷1.010	×0.700	—	×0.995	9.20%
HBP% /PA	0.00%	—	×0.700	—	×0.995	0.00%
Singles /BIP	26.32%	÷0.973	×0.680	—	×0.995	18.29%
Doubles /BIP	0.00%	÷1.061	×0.600	—	×0.995	0.00%
Triples /BIP	0.00%	÷1.077	×0.600	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.181	×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 136, 1B 95, 2B 112, 3B 115, 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).

Result: wOBA .239 → .183; ISO .000 → .000; BABIP .263 → .183. 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 Pirates Black · 128 PAwOBA .335 → .241 (−94)K% 17.2% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.19%	÷0.994	×1.220	—	—	21.09%
BB% (unintentional) /PA	17.97%	÷1.000	×0.700	—	×1.008	12.67%
HBP% /PA	2.34%	—	×0.700	—	×1.008	1.65%
Singles /BIP	25.64%	÷1.002	×0.680	×1.034	×1.008	18.13%
Doubles /BIP	5.13%	÷0.968	×0.600	×1.034	×1.008	3.31%
Triples /BIP	1.28%	÷1.009	×0.600	×1.034	×1.008	0.79%
Home runs /BIP	0.00%	÷1.000	×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 100, 1B 100, 2B 94, 3B 102, K 99, BB 100 — 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 ×1.034.

Result: wOBA .335 → .241; ISO .060 → .041; BABIP .312 → .217. 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 Pirates Black · 103 PAwOBA .282 → .203 (−79)K% 16.5% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.50%	÷1.000	×1.220	—	—	20.14%
BB% (unintentional) /PA	18.45%	÷1.000	×0.700	—	×1.022	13.20%
HBP% /PA	1.94%	—	×0.700	—	×1.022	1.39%
Singles /BIP	23.44%	÷1.000	×0.680	×1.004	×1.022	16.36%
Doubles /BIP	1.56%	÷1.000	×0.600	×1.004	×1.022	0.96%
Triples /BIP	0.00%	÷1.000	×0.600	×1.004	×1.022	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.022	0.00%

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 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 ×1.004.

Result: wOBA .282 → .203; ISO .012 → .008; BABIP .250 → .173. 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
#1Ehire Adrianzalast yr '22 career totals — 9 seasons, 1,519 PA	2.3	1,519	20	19	240	310	353	+10	+13	4.0	4.4
	/162	664	9	8	240	310	353	+4.2	+5.5	1.8	pk7: 5
#2Adam 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	227	293	367	+2.4	+3.0	1.1	pk7: 4
#3Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
#3Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	/162	664	5	14	232*	283*	343*	+5.7	+6.0	0.9	pk7: 4
#4Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
#4Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	/162	664	3	3	229*	288*	313*	+3.6	+9.1	0.9	pk7: 3
#5Ryan 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
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	/162	664	9	2	230	279	335	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.1	1,396	20	20	224	296	322	+15	+18	1.8	1.8
	/162	664	10	9	224	296	322	+7.1	+8.6	0.9	pk7: 2
#6Paul Popovich'64-'75 * career totals — 8 seasons, 1,909 PA	2.9	1,909	14	4	233*	288*	323*	+10	+20	0.2	0.9
	/162	664	5	1	233*	288*	323*	+3.5	+7.0	0.1	pk7: 2

Yosmar Gimenez

Career Stats + Projections

How the minor-league lines were translated

Career Comps