Jord David Diaz — OGILVIE

Jord David Diaz3B DSL Rangers Red

Age 18 R/R 5'10" / 170 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 123 proj PA

wRC+61

AVG/OBP/SLG.211 / .279 / .278

PA10

HR0

K%26

BB%7

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · Contract

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
2026	MiLB	still in minors · estimated debut 2032
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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2036	Arb-2	$4M	+0.4	$0.7M	+$0.0M (cut)
2037	Arb-3	$5M	+0.3	$0.5M	+$0.0M (cut)
Totals		$3M		$6M	+$2M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2025	17	ROK	DSL Rangers Red	—	148	124	32	2	1	0	13	28	9	13	2	258	370	290	660	32	330	19	9	312	97	-1	+2	—	—	+3	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rangers Red	—	148	129	27	1	1	0	8	40	9	13	2	209	301	233	534	23	282	27	5	235	45	-10	+2	—	—	+3	-0.5
2025	17	ROK MLE	DSL Rangers Red	—	148	129	27	1	1	0	8	40	9	13	2	209	301	233	534	23	300	27	5	235	45	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rangers Red	—	148	124	32	2	1	0	13	28	9	13	2	258	370	290	660	32	330	19	9	312	45	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rangers Red	—	148	130	27	1	1	0	8	40	9	13	2	208	301	231	532	23	282	27	5	235	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rangers Red	—	148	130	27	1	1	0	8	40	9	13	2	208	301	231	532	23	282	27	5	235	45	—	—	—	—	—	—
▸ 2026 season
2026	18	MLB MLE	—	0%	10	9	2	0	0	0	1	3	0	0	0	222	300	222	522		289	30	10	259	61	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	—	34%	212	191	43	6	2	2	14	54	5	7	1	225	295	309	604	84	291	25	7	271	69	-8	+1	+0	+1	+5	-0.1
2028	20	MLB MLE	—	48%	347	312	70	10	2	5	24	88	8	11	2	224	297	317	614	93	293	25	7	279	75	-10	+1	+0	+1	+8	-0.0
2029	21	MLB MLE	—	54%	449	404	92	13	3	7	32	112	10	15	2	228	300	327	627	99	294	25	7	285	79	-11	+2	+0	+2	+10	0.3
2030	22	MLB MLE	—	57%	521	467	108	15	4	9	37	129	12	17	3	231	304	338	643	107	295	25	7	289	82	-11	+2	+0	+2	+11	0.4
2031	23	MLB MLE	—	58%	569	510	118	17	4	10	41	140	13	19	3	231	305	339	644	108	296	25	7	292	84	-11	+3	+0	+2	+12	0.6
2032	24	MLB MLE	—	57%	601	539	125	18	4	11	44	148	13	20	3	232	305	341	647	109	296	25	7	294	85	-11	+3	+0	+2	+13	0.8
2033	25	MLB MLE	—	57%	620	556	129	18	4	12	45	152	14	20	3	232	306	344	649	112	297	25	7	296	86	-10	+3	+0	+2	+13	0.8
2034	26	MLB MLE	—	57%	628	563	131	18	4	13	46	154	14	21	3	233	307	348	655	115	296	25	7	297	87	-10	+3	+0	+2	+14	0.9
2035	27	MLB MLE	—	55%	629	563	131	18	4	13	47	155	14	21	3	233	308	348	656	115	296	25	7	297	87	-10	+3	+0	+2	+14	0.9
2036	28	MLB MLE	—	55%	625	559	129	18	4	12	47	155	14	20	3	231	306	342	648	111	296	25	8	295	86	-10	+3	-1	+2	+14	0.8
2037	29	MLB MLE	—	53%	616	551	127	17	4	12	46	154	14	20	3	230	306	341	647	111	295	25	7	293	85	-11	+3	-1	+2	+13	0.6
2038	30	MLB MLE	—	53%	605	541	124	17	4	11	46	153	13	19	3	229	305	336	641	107	293	25	8	290	83	-12	+3	-2	+2	+13	0.3
2039	31	MLB MLE	—	52%	591	528	119	16	3	11	45	151	13	18	3	225	302	330	632	104	291	26	8	286	80	-14	+2	-3	+2	+13	0.0
2040	32	MLB MLE	—	52%	573	512	113	15	3	10	43	149	13	17	3	221	298	320	618	100	287	26	8	281	76	-16	+2	-4	+2	+12	-0.3
2027	19	MLB CTX	—	34%	73	66	15	2	1	1	5	19	2	2	0	227	301	333	635	106	291	26	7	271	69	-3	+0	+0	+0	+2	-0.0
2028	20	MLB CTX	—	48%	168	150	34	5	1	2	12	42	4	5	1	227	301	313	615	87	293	25	7	279	75	-5	+1	+0	+1	+4	-0.0
2029	21	MLB CTX	—	54%	244	220	50	7	2	4	17	61	5	8	1	227	298	332	629	105	294	25	7	285	79	-6	+1	+0	+1	+5	0.1
2030	22	MLB CTX	—	57%	295	265	61	9	2	5	21	73	7	10	2	230	304	336	640	106	295	25	7	289	82	-6	+1	+0	+1	+6	0.2
2031	23	MLB CTX	—	58%	328	294	68	10	2	6	24	81	7	11	2	231	305	340	645	109	296	25	7	292	84	-6	+1	+0	+1	+7	0.3
2032	24	MLB CTX	—	57%	343	307	72	10	2	7	25	84	8	11	2	235	309	349	657	114	296	24	7	294	85	-6	+1	+0	+1	+7	0.4
2033	25	MLB CTX	—	57%	352	315	73	10	2	7	26	86	8	12	2	232	307	343	649	111	297	24	7	296	86	-6	+2	+0	+1	+8	0.5
2034	26	MLB CTX	—	57%	355	318	73	10	2	7	26	87	8	12	2	230	304	340	644	110	296	25	7	297	87	-6	+2	+0	+1	+8	0.5
2035	27	MLB CTX	—	55%	349	312	72	10	2	7	26	86	8	12	2	231	306	343	649	112	296	25	7	297	87	-5	+2	+0	+1	+8	0.5
2036	28	MLB CTX	—	55%	343	306	71	10	2	7	26	85	8	11	2	232	309	346	655	114	296	25	8	295	86	-6	+1	-0	+1	+7	0.4
2037	29	MLB CTX	—	53%	329	294	67	9	2	6	25	82	7	11	2	228	304	333	637	105	295	25	8	293	85	-6	+1	-1	+1	+7	0.3
2038	30	MLB CTX	—	53%	318	284	65	9	2	6	24	80	7	10	2	229	305	338	643	109	293	25	8	290	83	-7	+1	-1	+1	+7	0.2
2039	31	MLB CTX	—	52%	308	275	62	8	2	6	23	79	7	10	2	225	302	335	636	109	291	26	7	286	80	-7	+1	-1	+1	+7	0.0
2040	32	MLB CTX	—	52%	297	266	59	8	2	5	22	77	7	9	1	222	298	323	622	102	287	26	7	281	76	-8	+1	-2	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4102	3672	842	117	26	76	302	1022	93	134	23	229	304	337	642	108	295	25	7	291	82	-83	+18	-6	+15	+89	3.3
/ 162G	—	A+C		—	650	582	134	19	4	12	48	162	15	21	4	230	305	338	644	108	297	25	7	291	82	-13	+3	-1	+2	+14	0.5
Career	—	MLE		—	7744	6934	1588	217	50	138	566	1937	179	258	40	229	304	334	638	105	296	25	7	289	82	-157	+34	-10	+27	+165	6.0
/ 162G	—	MLE		—	650	582	133	18	4	12	48	163	15	22	3	229	304	335	639	107	295	25	7	289	82	-13	+3	-1	+2	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.4	4,225	76	137	230	301	337	+15	+4	6.2	5.4
/162	664	12	21	+2.4	+0.6	1.0	pk7: 5
#4Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#5Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4

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
Jord David Diaz (OGILVIE)	18	—	—	—	—	211/279/278	66	289	1	4	26%	7%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Eguy Rosario 2018 · A	18	44→52	36→55	54→55	42	206/263/284	78	291	2	20	28%	6%	55	-1.9	207/254/307	100	291	8	13	30%	5%	57	-1.8	224/286/367	142	294	14	21	28%	7%	82	-0.0
✕Ceddanne Rafaela 2019 · A	18	42→52	39→55	51→55	40	205/251/286	81	270	6	16	26%	5%	51	-2.2	205/253/316	111	261	11	14	25%	5%	59	-1.6	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Rafael Herrera 2019 · A	18	43	35→40	52→50	45	200/267/266	67	269	2	12	25%	7%	53	-2.1	218/286/298	80	291	4	12	24%	8%	68	-1.0	229/304/310	81	297	4	17	22%	9%	74	-0.2
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Dixon Machado 2010 · A	18	39→49	37→45	53→55	49	188/254/256	69	223	5	19	18%	7%	47	-2.6	198/252/243	45	251	2	17	21%	6%	41	-3.0	222/304/330	107	267	11	4	20%	9%	79	-0.1
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Adrián Sanchez 2009 · A	18	43→47	38→45	52→50	42	207/255/285	78	258	5	14	22%	5%	53	-2.1	224/255/301	77	272	5	11	19%	3%	55	-1.9	251/288/348	97	306	6	11	20%	4%	76	-0.2
●Moisés Sierra 2007 · A	18	42→52	39→50	52→50	42	203/266/292	89	271	6	13	26%	6%	59	-1.6	205/253/299	94	283	8	9	29%	4%	55	-1.9	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Jorbit Vivas 2019 · A	18	41→51	35→45	51→50	46	190/270/254	64	256	2	15	24%	7%	53	-2.1	230/299/329	99	282	6	10	20%	6%	80	-0.1	244/324/361	117	272	11	9	14%	7%	95	+0.9
✕Delino DeShields 2012 · A	19	40→50	40→45	50→65	41	195/252/281	86	270	8	16	30%	6%	51	-2.2	228/294/330	102	309	8	38	27%	7%	78	-0.3	236/312/340	103	313	6	38	24%	9%	83	+0.1
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Jose Astudillo 2022 · A	18	43	37→45	52→55	46	204/259/278	73	249	3	9	19%	6%	53	-2.1	228/282/303	75	268	3	15	15%	6%	67	-1.1	286/329/371	85	315	6	22	11%	5%	96	+0.4
✕Yairo Muñoz 2013 · A	18	41→51	37→45	48→55	41	195/247/274	79	274	2	8	29%	6%	47	-2.6	202/253/288	86	262	6	7	24%	6%	53	-2.1	263/305/392	130	320	14	17	22%	5%	92	+0.4
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Yordany De Los Santos 2023 · A	18	42→40	36→45	51→60	46	196/275/269	73	281	3	13	29%	8%	57	-1.8	201/270/288	87	311	7	23	35%	7%	60	-1.6	204/257/327	123	302	13	35	35%	6%	61	-1.1

Career Stats + Projections

Career Comps

Career Path Comps