Jairo Diaz — OGILVIE

Jairo DiazC Myrtle Beach Pelicans

Age 22 L/R 5'9" / 180 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION131 act + 13 ros · stats below = ROS only

showingROS

wRC+†47

AVG/OBP/SLG.083 / .154 / .083

PA13

HR0

K%38

BB%8

BABIP270

ISO76

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 25 / POW 36

Toolsscout grade

CONTACT25

scouting grade only

POWER36

scouting grade only

EYE54

scouting grade only

SPEED54

scouting grade only

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	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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	18	ROK	DSL Cubs Blue	—	110	97	19	2	1	0	11	22	0	2	0	196	278	237	515	41	247	20	10	239	48	-7	+0	—	—	+2	-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	117	+1	+0	—	—	+2	0.3
2024	20	ROK	ACL Cubs	—	72	62	22	5	0	0	7	15	1	1	1	355	429	435	864	81	449	21	10	381	144	+4	-0	—	—	+2	0.5
2025	21	A	Myrtle Beach Pelicans	—	48	35	11	3	0	0	12	11	0	2	0	314	489	400	889	86	440	23	25	406	161	+3	+0	—	—	+1	0.5
2025	21	ROK	ACL Cubs	—	112	98	26	4	0	0	10	24	2	10	1	265	345	306	652	41	342	21	9	299	89	-2	+2	—	—	+2	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL Cubs Blue	—	110	102	15	1	1	0	6	32	0	2	0	147	194	176	371	29	199	29	5	170	1	-13	+0	—	—	+2	-1.0
2023	19	ROK MLE	ACL Cubs	—	70	61	12	1	1	1	6	20	1	1	0	197	279	295	574	98	254	29	9	254	58	-3	+0	—	—	+2	-0.2
2024	20	ROK MLE	ACL Cubs	—	72	64	17	4	0	0	5	22	1	1	1	266	329	328	657	62	352	31	7	280	76	-2	-0	—	—	+2	-0.1
2025	21	A MLE	Myrtle Beach Pelicans	—	48	40	11	3	0	0	7	16	0	2	0	275	383	350	733	75	407	33	15	318	101	+0	+0	—	—	+1	0.2
2025	21	ROK MLE	ACL Cubs	—	112	102	19	3	0	0	6	36	2	10	1	186	245	216	461	29	265	32	5	207	26	-10	+2	—	—	+2	-0.6
2022	18	ROK MLE	DSL Cubs Blue	—	110	102	15	1	1	0	6	32	0	2	0	147	194	176	371	29	208	29	5	170	1	—	—	—	—	—	—
2022	18	ROK RAW	DSL Cubs Blue	—	110	97	19	2	1	0	11	22	0	2	0	196	278	237	515	41	247	20	10	239	1	—	—	—	—	—	—
2023	19	ROK MLE	ACL Cubs	—	70	61	12	1	1	1	6	20	1	1	0	197	279	295	574	98	262	29	9	254	58	—	—	—	—	—	—
2023	19	ROK RAW	ACL Cubs	—	70	57	15	2	1	1	10	14	1	1	0	263	382	386	768	123	318	20	14	342	58	—	—	—	—	—	—
2024	20	ROK MLE	ACL Cubs	—	72	64	17	4	0	0	5	22	1	1	1	266	329	328	657	62	386	31	7	280	76	—	—	—	—	—	—
2024	20	ROK RAW	ACL Cubs	—	72	62	22	5	0	0	7	15	1	1	1	355	429	435	864	81	449	21	10	381	76	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	160	142	29	5	0	0	13	52	2	12	1	204	280	239	520	35	312	32	8	240	49	—	—	—	—	—	—
2025	21	ROK RAW	2 teams	—	160	133	37	7	0	0	22	35	2	12	1	278	389	331	719	53	366	22	14	331	49	—	—	—	—	—	—
2022	18	ROK MLE	DSL Cubs Blue	—	110	103	15	1	1	0	6	32	0	2	0	146	194	175	369	29	199	29	5	170	1	—	—	—	—	—	—
2023	19	ROK MLE	ACL Cubs	—	70	63	12	1	1	1	6	20	1	1	0	190	279	286	565	95	254	29	9	254	58	—	—	—	—	—	—
2024	20	ROK MLE	ACL Cubs	—	72	66	17	4	0	0	5	22	1	1	1	258	329	318	647	61	352	31	7	280	76	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	160	144	29	5	0	0	13	52	2	12	1	201	280	236	516	35	308	32	8	240	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	ACL Cubs	—	70	63	12	1	1	1	6	20	1	1	0	190	279	286	565	95	254	29	9	254	58	—	—	—	—	—	—
2024	20	ROK MLE	ACL Cubs	—	72	66	17	4	0	0	5	22	1	1	1	258	329	318	647	61	352	31	7	280	76	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	160	144	29	5	0	0	13	52	2	12	1	201	280	236	516	35	308	32	8	240	49	—	—	—	—	—	—
YTD	22	A MLE	CHC	—	131	112	16	3	0	2	15	61	2	0	0	143	256	223	479	80	275	47	11	214	31	-11	+0	+0	+2	+3	-0.6
▸ 2026 season
YTD	22	A RAW	CHC	—	131	104	20	4	0	2	23	43	2	0	0	192	349	288	637	96	295	33	18	301	31	—	—	—	—	—	—
ROS	22	A MLE	CHC	0%	13	12	1	0	0	0	1	5	0	0	0	83	154	83	237		268	38	8	237	47	-1	+0	+0	+0	+0	-0.0
TOT	22	A MLE	CHC	—	144	124	17	3	0	2	16	66	2	0	0	137	246	210	456	73	259	46	11	216	32	-12	+0	+0	+3	+3	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	CHC	34%	225	200	37	7	1	3	21	76	2	4	1	185	269	275	544	90	272	34	9	249	55	-12	+0	+0	+4	+5	-0.3
2028	24	MLB MLE	CHC	46%	326	290	54	10	1	5	30	107	3	6	1	186	269	279	549	93	275	33	9	258	61	-15	+1	+0	+6	+7	-0.2
2029	25	MLB MLE	CHC	52%	385	343	66	12	2	7	35	124	4	7	2	192	275	300	575	108	276	32	9	263	64	-16	+1	+0	+7	+8	-0.1
2030	26	MLB MLE	CHC	54%	423	376	74	14	2	8	39	135	5	8	2	197	281	309	589	112	276	32	9	265	66	-17	+1	+0	+8	+9	0.0
2031	27	MLB MLE	CHC	54%	440	391	76	14	2	8	41	141	5	9	2	194	279	302	581	107	276	32	9	265	66	-18	+1	+0	+8	+10	0.0
2032	28	MLB MLE	CHC	54%	447	397	76	14	2	8	42	144	5	9	2	191	277	297	574	106	275	32	9	264	65	-19	+1	-1	+8	+10	-0.1
2033	29	MLB MLE	CHC	53%	444	394	76	14	2	8	42	144	5	9	2	193	279	299	578	107	274	32	9	263	64	-19	+1	-1	+8	+10	-0.2
2034	30	MLB MLE	CHC	57%	438	389	73	14	1	7	41	143	5	8	2	188	274	283	556	95	273	33	9	260	62	-20	+1	-2	+8	+9	-0.4
2027	23	MLB CTX	CHC	34%	77	69	12	2	0	1	7	26	1	1	0	174	260	246	506	72	274	34	9	242	55	-4	+0	+0	+1	+2	-0.1
2028	24	MLB CTX	CHC	46%	150	133	26	5	1	2	14	49	2	3	1	195	282	293	575	98	276	33	9	250	61	-7	+0	+0	+3	+3	-0.1
2029	25	MLB CTX	CHC	52%	199	177	34	7	1	3	18	64	2	4	1	192	274	294	568	102	278	32	9	255	64	-8	+0	+0	+4	+4	-0.0
2030	26	MLB CTX	CHC	54%	229	204	40	8	1	4	21	73	2	5	1	196	278	304	581	108	278	32	9	258	66	-9	+1	+0	+4	+5	0.0
2031	27	MLB CTX	CHC	54%	239	212	41	8	1	4	22	76	3	5	1	193	278	297	576	104	278	32	9	258	66	-10	+1	+0	+4	+5	0.0
2032	28	MLB CTX	CHC	54%	243	215	42	8	1	4	23	78	3	5	1	195	282	298	580	102	277	32	9	257	65	-10	+1	-0	+4	+5	-0.0
2033	29	MLB CTX	CHC	53%	236	209	41	8	1	4	22	76	3	5	1	196	282	301	583	105	276	32	9	255	64	-10	+1	-1	+4	+5	-0.1
2034	30	MLB CTX	CHC	57%	249	220	42	8	1	4	24	81	3	5	1	191	279	291	570	100	274	33	10	252	62	-11	+1	-1	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1622	1439	278	54	7	26	151	523	19	33	7	193	278	295	573	101	281	32	9	254	61	-70	+4	-2	+29	+35	-0.5
/ 162G	—	A+C		—	650	577	112	22	3	10	61	210	8	13	3	194	281	295	575	101	283	32	9	254	61	-28	+2	-1	+12	+14	-0.2
Career	—	MLE		—	3553	3161	606	110	15	55	322	1145	38	76	16	192	274	288	563	96	278	32	9	258	61	-137	+6	-4	+56	+68	-1.1
/ 162G	—	MLE		—	650	578	111	20	3	10	59	209	7	14	3	192	274	289	563	97	278	32	9	258	61	-28	+1	-1	+12	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#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
#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
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.7	1,773	30	34	192	273	293	+32	+20	0.4	0.5
/162	664	11	13	+11.9	+7.5	0.2	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Jairo Diaz (OGILVIE)	22	20→25	31→36	49→54	54	171/257/247	75	268	2	2	35%	9%	47	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jamodrick McGruder 2014 · A	22	40→44	37→40	52→50	47	193/261/259	66	255	5	10	25%	8%	50	-2.3	212/286/308	96	275	7	10	23%	9%	70	-0.8	208/289/307	99	266	6	10	22%	10%	68	-0.7
✕Chris Proctor 2019 · A	22	35	37→30	53→45	40	176/227/248	73	248	5	10	30%	6%	34	-3.5	191/236/259	68	267	5	8	29%	5%	39	-3.1	171/218/217	46	250	3	6	31%	6%	22	-1.6
✕Jose Dilone 2023 · A	22	37	37→30	51→55	41	173/253/240	67	291	5	13	39%	8%	43	-2.8	207/284/292	85	367	6	11	41%	9%	66	-1.1	210/300/295	85	416	8	12	46%	10%	69	-0.2
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	35	174/226/251	77	275	5	7	37%	5%	34	-3.5	188/272/333	145	263	18	6	34%	9%	72	-0.7	166/252/300	134	233	18	4	36%	9%	55	-1.0
✕Cole Roederer 2022 · A	22	42→32	40→45	50	44	198/272/292	93	297	7	13	34%	8%	61	-1.5	201/266/314	113	295	12	11	34%	7%	64	-1.3	180/254/288	108	265	12	11	34%	8%	53	-1.2
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Alvaro Sosa 2007 · A	21	37	37→40	50→45	38	181/228/255	74	270	4	8	34%	6%	36	-3.4	196/241/269	73	261	3	8	25%	5%	44	-2.8	196/241/266	70	251	1	7	21%	5%	40	-0.9
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	200/278/275	74	283	5	6	29%	9%	60	-1.6	192/289/299	107	272	9	9	30%	11%	70	-0.8	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Rolando Gomez 2011 · A	22	41	40→45	51→50	38	199/247/296	97	297	6	10	34%	6%	51	-2.2	214/255/305	91	314	5	14	32%	5%	57	-1.8	221/261/309	87	317	5	16	30%	5%	57	-1.1
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Aaron Shipman 2013 · A	21	40→37	35→30	44→50	48	187/266/245	59	273	2	9	30%	9%	49	-2.4	224/306/292	68	309	2	16	25%	10%	74	-0.6	243/332/303	60	328	1	21	23%	11%	81	-0.0
✕Kai Murphy 2023 · A	22	45→40	39→40	53→50	44	214/273/301	87	294	6	12	28%	7%	63	-1.3	209/272/296	87	305	7	10	31%	7%	62	-1.4	198/270/265	67	268	5	11	26%	8%	52	-1.3
✕Ryan Aguilar 2017 · A	22	43→41	38→45	50	47	205/275/287	82	285	5	10	28%	9%	61	-1.5	183/251/260	77	287	6	7	35%	8%	46	-2.6	185/281/292	107	300	12	12	39%	10%	63	-0.9
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Branden Cogswell 2015 · A	22	43→46	36→30	50→45	46	205/273/271	66	268	4	8	24%	7%	57	-1.8	216/278/276	60	299	3	6	26%	8%	59	-1.7	221/282/269	48	303	1	5	25%	8%	56	-1.3
✕Livan Soto 2022 · AA	22	36→46	40	50	42	182/238/271	89	250	7	11	30%	6%	43	-2.8	225/293/312	87	303	7	9	26%	8%	74	-0.6	234/307/314	80	309	6	8	24%	9%	77	-0.3
✕Cody Morissette 2022 · A	22	41→30	39→45	43→55	44	195/263/281	86	285	6	5	32%	8%	55	-1.9	186/242/306	120	251	14	7	31%	6%	53	-2.1	182/237/299	117	239	14	19	29%	6%	48	-1.4
✕Dan Arcila 2011 · A	21	35	38→40	53→50	39	171/232/247	76	265	5	12	36%	7%	36	-3.4	197/253/328	131	268	13	6	30%	6%	62	-1.4	176/236/342	166	218	19	3	29%	6%	56	-0.8
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Henrry Rosario 2014 · A	21	37	38→45	47→45	44	180/249/266	85	257	5	8	30%	8%	47	-2.6	199/253/304	105	256	8	7	24%	6%	56	-1.9	205/253/337	132	255	14	9	25%	5%	63	-0.5

Career Stats + Projections

Career Comps

Career Path Comps