Jairo Diaz — OGILVIE

Jairo DiazC Myrtle Beach Pelicans

Age 22 L/R 5'9" / 180 lbs A BB +5%HR -4% Svc 0.0 · Ctrl thru 2036 peak 1.8 · 2031

wRC+†73

AVG/OBP/SLG.210 / .278 / .314

PA151

HR2

K%29

BB%8

MLB%0%

trajectory · 10 yrs

1.8peak

2031

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
2026	MiLB	still in minors · estimated debut 2031
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	Arb-3	$0.9M	+1.8	$17M	+$16M
2032	Ext / FA-deal	$0.9M	+1.7	$16M	+$15M
2033	Ext / FA-deal	$1.0M	+1.5	$15M	+$14M
2034	Ext / FA-deal	$3M	+1.3	$13M	+$11M
2035	Ext / FA-deal	$3M	+1.0	$10M	+$7M
2036	Ext / FA-deal	$3M	+0.6	$3M	+$0.2M
Totals		$11M		$75M	+$63M

Career Projections (MLE)

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	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
2022	18	ROK	DSL Cubs Blue	110	102	16	2	1	0	6	32	0	2	0	.157	.204	.196	.400	.039	.222	29	5	.169	-12	-14	+0	+0	+2	+3	-0.9
2023	19	ROK	ACL Cubs	70	61	12	1	1	1	6	20	1	1	0	.197	.279	.295	.574	.098	.262	29	9	.254	53	-4	+0	+0	+1	+2	-0.0
2024	20	ROK	ACL Cubs	72	64	16	4	0	0	5	22	1	1	1	.250	.314	.312	.627	.062	.364	31	7	.280	72	-2	-0	+0	+1	+2	0.1
2025	21	ROK	2 teams	160	143	29	5	0	0	12	53	2	12	1	.203	.274	.238	.512	.035	.312	33	8	.239	41	-11	+2	+0	+3	+5	-0.1
▸ 2026 Season (actual · ROS · total)
2026	22	A	Myrtle Beach Pelicans	20	14	2	0	0	1	6	9	0	0	0	.143	.400	.357	.757	.214	.250	45	30	.348	124	+1	+0	+0	+0	+1	0.2
ROS	22	MLB	CHC	131	119	26	5	1	2	10	37	1	2	1	.218	.285	.328	.612	.109	.288	28	8	.271	65	-5	+0	+0	+2	+4	0.1
TOT	22	MLB	CHC	151	133	28	5	1	3	16	46	1	2	1	.211	.300	.331	.631	.120	.294	30	11	.281	73	-5	+0	+0	+3	+4	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	CHC	225	203	44	8	1	5	18	62	2	4	1	.217	.287	.340	.627	.123	.290	28	8	.286	77	-6	+0	+0	+4	+6	0.5
2028	24	MLB 26%	CHC	326	293	66	12	2	8	27	88	3	6	1	.225	.297	.362	.659	.137	.291	27	8	.296	85	-6	+1	+0	+6	+9	1.0
2029	25	MLB 43%	CHC	385	345	78	14	2	10	33	102	4	7	1	.226	.301	.365	.666	.139	.293	26	9	.303	90	-4	+1	+0	+7	+11	1.5
2030	26	MLB 58%	CHC	423	379	88	16	2	12	37	111	4	7	1	.232	.307	.380	.687	.148	.293	26	9	.306	92	-4	+1	+0	+8	+12	1.7
2031	27	MLB 76%	CHC	440	394	90	16	2	12	39	116	4	8	1	.228	.304	.371	.675	.142	.293	26	9	.306	92	-4	+1	+0	+8	+12	1.8
2032	28	MLB 84%	CHC	447	399	91	17	2	12	40	119	5	7	1	.228	.306	.371	.677	.143	.293	27	9	.305	92	-4	+1	-1	+8	+13	1.7
2033	29	MLB 90%	CHC	444	397	90	16	2	12	40	120	4	6	1	.227	.304	.368	.672	.141	.292	27	9	.303	90	-5	+1	-1	+8	+13	1.5
2034	30	MLB	CHC	438	391	87	16	2	11	40	119	4	5	0	.223	.301	.358	.659	.136	.291	27	9	.300	88	-6	+1	-2	+8	+12	1.3
2035	31	MLB	CHC	414	370	82	15	2	10	37	115	4	3	0	.222	.299	.354	.653	.132	.289	28	9	.296	85	-7	+1	-3	+7	+12	1.0
2036	32	MLB	CHC	385	343	75	13	2	9	35	109	4	1	0	.219	.298	.347	.645	.128	.288	28	9	.291	81	-8	+0	-4	+7	+11	0.6
2037	33	MLB	CHC	348	311	67	12	2	8	31	101	3	0	0	.215	.293	.344	.637	.129	.286	29	9	.286	77	-9	+0	-4	+6	+10	0.3
2038	34	MLB	CHC	297	266	55	10	1	6	26	88	3	0	0	.207	.285	.320	.604	.113	.285	30	9	.279	72	-9	+0	-5	+5	+8	-0.1
2039	35	MLB	CHC	242	217	45	8	1	5	21	74	2	0	0	.207	.283	.323	.606	.115	.282	31	9	.272	66	-9	+0	-6	+4	+7	-0.4
2040	36	MLB	CHC	187	167	33	6	1	3	16	59	2	0	0	.198	.276	.299	.575	.102	.279	32	9	.263	60	-9	+0	-6	+3	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			5544	4964	1090	196	27	126	479	1547	53	72	10	.220	.295	.346	.641	.127	.290	28	9	.290	80	-126	+10	-31	+99	+157	11.1
/ 162G	—			650	582	128	23	3	15	56	181	6	8	1	.220	.295	.347	.642	.127	.290	28	9	.290	80	-15	+1	-4	+12	+18	1.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2022	18	ROK	DSL Cubs Blue	110	97	19	2	1	0	11	22	0	2	0	.196	.278	.237	.515	.041	.247	20	10	.239	41	-7	+0	—	—	+3	-0.4
2023	19	ROK	ACL Cubs	70	57	15	2	1	1	10	14	1	1	0	.263	.382	.386	.768	.123	.318	20	14	.342	120	+2	+0	—	—	+2	0.4
2024	20	ROK	ACL Cubs	72	62	22	5	0	0	7	15	1	1	1	.355	.429	.435	.864	.081	.449	21	10	.381	150	+4	-0	—	—	+2	0.6
2025	21	A	Myrtle Beach Pelicans	48	35	11	3	0	0	12	11	0	2	0	.314	.489	.400	.889	.086	.440	23	25	.406	168	+4	+0	—	—	+1	0.6
2025	21	ROK	ACL Cubs	112	98	26	4	0	0	10	24	2	10	1	.265	.345	.306	.652	.041	.342	21	9	.299	87	-2	+2	—	—	+3	0.3

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
Jairo Diaz (OGILVIE)	22	—	—	—	—	.210/.278/.314	.104	.288	2	3	29%	8%	65	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Adrian Del Castillo 2023 · A	23	36→45	43→55	52→40	41	.184/.246/.294	.110	.257	10	7	32%	7%	46	-2.0	.210/.280/.351	.141	.289	15	4	31%	8%	76	+0.0	.218/.292/.382	.164	.293	19	1	31%	9%	86	+0.5
✕Jace Jung 2023 · A	22	45→42	39→55	50→40	50	.212/.293/.305	.093	.295	6	8	28%	10%	69	-0.4	.219/.303/.384	.165	.289	20	4	29%	10%	94	+1.3	.212/.303/.382	.169	.274	21	3	29%	11%	91	+1.0
✕Ashton McGee 2021 · A	22	41	39→50	50→40	41	.194/.258/.283	.089	.288	5	5	33%	7%	48	-1.9	.206/.290/.322	.116	.364	11	3	42%	10%	72	-0.2	.191/.284/.307	.117	.346	12	2	44%	11%	63	-0.4
●Ryan Schimpf 2011 · A	23	39	43→60	52→45	39	.192/.257/.314	.121	.284	9	10	34%	6%	56	-1.3	.198/.273/.355	.157	.273	17	7	32%	8%	74	-0.1	.201/.284/.419	.218	.235	28	2	28%	9%	91	+0.9
✕Drew Robinson 2014 · A	22	43→41	44→55	49→50	45	.206/.285/.324	.118	.300	10	8	33%	9%	71	-0.3	.189/.264/.329	.140	.281	15	11	36%	9%	63	-0.8	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Parker Meadows 2021 · A	21	40→47	41→55	46→55	42	.197/.253/.288	.091	.267	9	9	29%	7%	47	-1.9	.203/.263/.335	.132	.270	14	12	29%	7%	64	-0.8	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●James McCann 2012 · A	22	41→51	42→50	49→45	39	.203/.260/.306	.103	.288	9	7	32%	6%	55	-1.4	.223/.261/.310	.087	.291	6	6	24%	4%	55	-1.4	.254/.315/.415	.161	.331	20	4	28%	7%	104	+1.1
✕Kody Clemens 2019 · A	23	46→43	44→60	50→45	45	.228/.287/.347	.119	.291	11	8	25%	7%	76	+0.1	.203/.262/.335	.132	.276	13	8	30%	7%	63	-0.8	.216/.278/.416	.200	.247	26	8	25%	7%	88	+0.6
✕Dane Phillips 2014 · A	23	44→48	42→55	51→40	41	.215/.262/.324	.109	.281	9	5	26%	5%	59	-1.1	.232/.278/.376	.144	.297	14	6	26%	5%	80	+0.4	.242/.286/.410	.168	.303	16	4	25%	5%	89	+0.7
✕Blaze Alexander 2021 · A	22	45→48	42→50	51→50	43	.218/.284/.328	.110	.300	9	11	29%	7%	71	-0.3	.204/.275/.332	.128	.317	14	12	38%	7%	69	-0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Jason Martin 2017 · A	21	43→50	45→60	48→50	45	.216/.275/.346	.130	.280	12	13	27%	7%	71	-0.3	.222/.270/.365	.143	.297	15	12	29%	6%	74	-0.1	.218/.285/.408	.191	.271	26	8	29%	8%	90	+0.7
✕Johnny Monell 2008 · A	22	44	43→50	44→45	47	.214/.288/.327	.113	.283	10	8	27%	8%	72	-0.2	.229/.290/.359	.130	.285	12	8	23%	7%	81	+0.4	.216/.285/.360	.143	.285	15	3	28%	8%	78	+0.2
✕Randy Florentino 2023 · A	23	36	41→50	47→45	40	.183/.244/.273	.090	.273	9	7	35%	7%	40	-2.4	.196/.244/.284	.088	.259	9	6	27%	6%	42	-2.3	.184/.224/.260	.076	.231	7	4	23%	4%	25	-1.0
✕Canaan Smith-Njigba 2021 · A	22	47	44→45	50→55	45	.230/.291/.353	.122	.306	12	10	28%	8%	79	+0.3	.230/.300/.348	.118	.336	10	17	32%	9%	82	+0.5	.228/.299/.352	.124	.336	11	21	33%	9%	80	+0.2
✕Shed Long Jr. 2017 · A	21	46→48	44→50	50	43	.226/.283/.344	.118	.302	11	11	28%	7%	74	-0.1	.233/.292/.373	.140	.317	15	11	29%	7%	85	+0.7	.230/.292/.378	.148	.312	16	11	30%	7%	83	+0.4
✕Akil Baddoo 2021 · A	22	41→51	43→55	55	44	.198/.268/.314	.116	.295	9	14	34%	8%	60	-1.0	.234/.308/.374	.140	.313	14	21	27%	10%	92	+1.2	.232/.314/.375	.143	.300	15	24	26%	11%	91	+0.8
✕Kevin Kramer 2016 · A	22	45→54	40→50	54→50	44	.218/.273/.314	.096	.278	7	12	24%	6%	62	-0.9	.243/.299/.351	.108	.307	7	7	22%	6%	82	+0.5	.251/.306/.371	.119	.326	9	8	24%	6%	88	+0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)