Reinaldo De La Cruz

SS DSL Athletics

Age 21 R/R 6'2" / 170 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1367ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	17	ROKOAK	200	.193/.313/.247	2	12	5	—	.127/.226/.156
2024	18	ROKOAK	80	.271/.456/.390	0	7	72	—	.172/.329/.234
2025	19	ROKOAK	23	.368/.478/.474	0	3	84	—	.250/.348/.350
2027PROJMLE	21	MLBOAK	133	.208/.295/.290	1	3	69	0.0
2028PROJ34% MLB	22	MLBOAK	24	.218/.304/.313	0	1	73	0.0
2029PROJ50% MLB	23	MLBOAK	76	.221/.306/.323	1	2	76	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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 23 proj PA

wRC+†69

AVG/OBP/SLG.206 / .293 / .287

PA23

HR0

K%27

BB%9

ISO82

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	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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)
2023	17	ROK	DSL Athletics	—	200	166	32	3	0	2	23	52	6	12	1	193	313	247	560	54	263	26	12	265	5	—	—	—	—	—	—
2024	18	ROK	DSL Athletics	—	80	59	16	3	2	0	16	16	4	7	2	271	456	390	846	119	372	20	20	389	72	—	—	—	—	—	—
2025	19	ROK	DSL Athletics	—	23	19	7	0	1	0	3	3	1	3	1	368	478	474	952	105	438	13	13	429	84	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Athletics	—	200	173	22	2	0	1	16	64	6	12	1	127	226	156	382	29	177	32	8	176	5	—	—	—	—	—	—
2024	18	ROK MLE	DSL Athletics	—	80	64	11	2	1	0	11	20	4	7	2	172	329	234	563	62	255	25	14	274	72	—	—	—	—	—	—
2025	19	ROK MLE	DSL Athletics	—	23	20	5	0	1	0	2	4	1	3	1	250	348	350	698	100	297	17	9	293	84	—	—	—	—	—	—
2023	17	ROK MLE	DSL Athletics	—	200	173	22	2	0	1	16	64	6	12	1	127	226	156	382	29	191	32	8	176	5	—	—	—	—	—	—
2023	17	ROK RAW	DSL Athletics	—	200	166	32	3	0	2	23	52	6	12	1	193	313	247	560	54	263	26	12	265	5	—	—	—	—	—	—
2024	18	ROK MLE	DSL Athletics	—	80	64	11	2	1	0	11	20	4	7	2	172	329	234	563	62	250	25	14	274	72	—	—	—	—	—	—
2024	18	ROK RAW	DSL Athletics	—	80	59	16	3	2	0	16	16	4	7	2	271	456	390	846	119	372	20	20	389	72	—	—	—	—	—	—
2025	19	ROK MLE	DSL Athletics	—	23	20	5	0	1	0	2	4	1	3	1	250	348	350	698	100	312	17	9	293	84	—	—	—	—	—	—
2025	19	ROK RAW	DSL Athletics	—	23	19	7	0	1	0	3	3	1	3	1	368	478	474	952	105	438	13	13	429	84	—	—	—	—	—	—
2023	17	ROK MLE	DSL Athletics	—	200	176	22	2	0	1	16	64	6	12	1	125	226	153	379	28	177	32	8	176	5	—	—	—	—	—	—
2024	18	ROK MLE	DSL Athletics	—	80	65	11	2	1	0	11	20	4	7	2	169	329	231	560	62	255	25	14	274	72	—	—	—	—	—	—
2025	19	ROK MLE	DSL Athletics	—	23	20	5	0	1	0	2	4	1	3	1	250	348	350	698	100	297	17	9	293	84	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Athletics	—	80	65	11	2	1	0	11	20	4	7	2	169	329	231	560	62	255	25	14	274	72	—	—	—	—	—	—
2025	19	ROK MLE	DSL Athletics	—	23	20	5	0	1	0	2	4	1	3	1	250	348	350	698	100	297	17	9	293	84	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	OAK	0%	133	118	25	4	2	1	12	35	2	3	0	208	295	290	585	82	288	26	9	270	69	-5	+1	+0	+1	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	OAK	34%	70	63	14	2	1	1	6	18	1	2	0	212	298	302	600	90	289	26	9	276	73	-2	+0	+0	+1	+2	0.0
2029	23	MLB MLE	OAK	50%	153	135	29	4	2	2	14	40	3	4	1	215	301	312	613	97	290	26	9	280	76	-4	+0	+0	+2	+3	0.1
2030	24	MLB MLE	OAK	57%	235	208	46	7	3	3	21	61	4	6	1	218	303	321	624	103	291	26	9	285	79	-6	+1	+0	+3	+5	0.3
2031	25	MLB MLE	OAK	60%	305	270	59	9	4	4	27	78	5	8	1	220	305	328	632	108	291	26	9	288	81	-7	+1	+0	+3	+7	0.4
2032	26	MLB MLE	OAK	62%	352	311	69	11	4	5	32	90	6	9	1	222	306	334	639	112	291	26	9	290	83	-7	+1	+0	+4	+8	0.6
2033	27	MLB MLE	OAK	63%	375	332	73	11	5	5	34	96	6	9	1	221	305	331	636	110	291	26	9	289	82	-8	+1	+0	+4	+8	0.5
2034	28	MLB MLE	OAK	65%	383	340	75	12	5	5	34	99	6	8	1	219	303	327	629	108	290	26	9	286	80	-9	+1	-1	+4	+8	0.4
2035	29	MLB MLE	OAK	65%	381	338	72	11	4	5	34	99	6	6	1	217	300	321	621	104	289	26	9	283	78	-10	+1	-1	+4	+8	0.2
2036	30	MLB MLE	OAK	65%	374	332	70	11	4	4	33	99	6	4	1	214	297	313	610	100	287	26	9	279	75	-11	+0	-2	+4	+8	-0.1
2028	22	MLB CTX	OAK	34%	24	22	4	1	0	0	2	6	0	1	0	218	304	313	617	95	298	25	8	282	73	-1	+0	+0	+0	+1	0.0
2029	23	MLB CTX	OAK	50%	76	68	15	2	1	1	7	20	1	2	0	221	306	323	630	102	299	26	9	287	76	-2	+0	+0	+1	+2	0.1
2030	24	MLB CTX	OAK	57%	133	118	27	4	2	2	12	34	2	3	0	224	309	332	641	108	300	26	9	291	79	-3	+1	+0	+1	+3	0.2
2031	25	MLB CTX	OAK	60%	184	162	36	6	2	2	17	47	3	5	1	226	310	339	649	113	300	26	9	294	81	-4	+1	+0	+2	+4	0.2
2032	26	MLB CTX	OAK	62%	220	194	45	8	3	3	20	56	4	5	1	228	311	345	656	117	300	25	9	297	83	-5	+1	+0	+2	+5	0.3
2033	27	MLB CTX	OAK	63%	238	211	47	8	3	3	21	61	4	6	1	227	310	342	652	115	300	26	9	296	82	-5	+1	+0	+3	+5	0.3
2034	28	MLB CTX	OAK	65%	249	221	49	8	3	3	22	64	4	5	1	225	308	338	646	112	299	26	9	293	80	-6	+1	-0	+3	+5	0.2
2035	29	MLB CTX	OAK	65%	248	220	48	8	3	3	22	65	4	4	1	223	305	332	637	109	298	26	9	289	78	-7	+0	-1	+3	+5	0.1
2036	30	MLB CTX	OAK	65%	243	215	48	8	3	3	22	64	4	3	0	220	302	324	626	104	296	26	9	285	75	-7	+1	-1	+3	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1615	1431	319	53	20	20	145	417	26	34	5	223	306	330	636	107	299	26	9	292	74	-40	+5	-3	+17	+35	1.5
/ 162G	—	A+C		—	650	576	128	21	8	8	58	168	10	14	2	222	304	328	632	106	298	26	9	292	74	-16	+2	-1	+7	+14	0.6
Career	—	MLE		—	2954	2607	549	83	34	35	266	774	54	79	12	211	297	309	606	98	283	26	9	277	74	-66	+8	-4	+28	+57	2.4
/ 162G	—	MLE		—	650	574	120	18	7	8	59	170	12	17	3	209	297	307	603	98	280	26	9	277	74	-16	+2	-1	+7	+14	0.6

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 Athletics · 23 PAwOBA .419 → .293 (−126)K% 13.0% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.04%	÷1.004	×1.220	—	—	15.85%
BB% (unintentional) /PA	13.04%	÷1.009	×0.700	—	×0.995	9.00%
HBP% /PA	4.35%	—	×0.700	—	×0.995	3.03%
Singles /BIP	37.50%	÷0.994	×0.680	—	×0.995	25.52%
Doubles /BIP	0.00%	÷1.013	×0.600	—	×0.995	0.00%
Triples /BIP	6.25%	÷0.900	×0.600	—	×0.995	4.15%
Home runs /BIP	0.00%	÷0.868	×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 74, 1B 99, 2B 103, 3B 80, K 101, 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 .419 → .293; ISO .105 → .072; BABIP .438 → .297. 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 Athletics · 80 PAwOBA .381 → .274 (−107)K% 20.0% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.991	×1.220	—	—	24.63%
BB% (unintentional) /PA	20.00%	÷0.994	×0.700	—	×1.008	14.19%
HBP% /PA	5.00%	—	×0.700	—	×1.008	3.53%
Singles /BIP	25.58%	÷0.975	×0.680	—	×1.008	17.97%
Doubles /BIP	6.98%	÷0.951	×0.600	—	×1.008	4.43%
Triples /BIP	4.65%	÷0.905	×0.600	—	×1.008	3.11%
Home runs /BIP	0.00%	÷1.215	×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 143, 1B 95, 2B 90, 3B 81, K 98, BB 99 — 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 .381 → .274; ISO .119 → .083; BABIP .372 → .255. 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 Athletics · 200 PAwOBA .261 → .176 (−85)K% 26.0% → 31.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.00%	÷0.994	×1.220	—	—	31.91%
BB% (unintentional) /PA	11.50%	÷1.030	×0.700	—	×1.022	7.99%
HBP% /PA	3.00%	—	×0.700	—	×1.022	2.15%
Singles /BIP	23.68%	÷1.031	×0.680	×1.028	×1.022	16.43%
Doubles /BIP	2.63%	÷1.138	×0.600	×1.028	×1.022	1.46%
Triples /BIP	0.00%	÷1.000	×0.600	×1.028	×1.022	0.00%
Home runs /BIP	1.75%	÷1.039	×0.470	—	×1.022	0.81%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 128, 3B 100, K 99, BB 106 — 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 ×1.028.

Result: wOBA .261 → .176; ISO .054 → .027; BABIP .263 → .177. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
	/162	664	10	19	228	318	337	+1.0	+1.3	1.3	pk7: 7
#2Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
#2Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	/162	664	3	5	233*	291*	316*	+6.8	+5.8	1.0	pk7: 7
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
	/162	664	10	9	246	289	354	+6.7	+4.5	1.3	pk7: 6
#4Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
#4Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	/162	664	9	5	217*	284*	324*	+4.2	+14.4	0.8	pk7: 4
#5Tim 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
#5Tim 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.5	1,638	21	33	219	300	325	+18	+18	2.7	2.6
	/162	664	9	14	219	300	325	+7.1	+7.3	1.1	pk7: 3
#6Ryan 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
#6Ryan 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

Reinaldo De La Cruz

Career Stats + Projections

How the minor-league lines were translated

Career Comps