Yimmy Diaz — OGILVIE

Yimmy DiazSS FCL Tigers

Age 22 S/R 5'10" / 155 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 64 proj PA

wRC+†60

AVG/OBP/SLG.199 / .274 / .278

PA6

HR0

K%30

BB%8

ISO80

MLB%0%

Value2026 · 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 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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$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.

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 Tigers 1	—	194	162	44	6	1	3	27	30	4	7	6	272	389	377	765	105	315	15	14	351	124	+5	-1	—	—	+4	0.9
2023	19	ROK	FCL Tigers	—	139	110	21	2	0	1	24	27	4	7	1	191	355	236	591	45	241	19	17	292	84	-3	+1	—	—	+3	0.1
2024	20	ROK	FCL Tigers	—	119	95	16	4	0	1	13	27	9	0	1	168	325	242	567	74	217	23	11	276	73	-4	-0	—	—	+3	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL Tigers 1	—	194	173	34	4	1	2	16	43	4	7	6	197	280	266	546	69	241	22	8	246	53	-11	-1	—	—	+4	-0.8
2023	19	ROK MLE	FCL Tigers	—	139	119	17	1	0	1	15	40	4	7	1	143	261	176	437	34	202	29	11	211	29	-12	+1	—	—	+3	-0.8
2024	20	ROK MLE	FCL Tigers	—	119	100	13	3	0	1	8	39	9	0	1	130	256	190	446	60	169	33	7	193	17	-12	-0	—	—	+3	-1.0
2022	18	ROK MLE	DSL Tigers 1	—	194	173	34	4	1	2	16	43	4	7	6	197	280	266	546	69	248	22	8	246	53	—	—	—	—	—	—
2022	18	ROK RAW	DSL Tigers 1	—	194	162	44	6	1	3	27	30	4	7	6	272	389	377	765	105	315	15	14	351	53	—	—	—	—	—	—
2023	19	ROK MLE	FCL Tigers	—	139	119	17	1	0	1	15	40	4	7	1	143	261	176	437	34	203	29	11	211	29	—	—	—	—	—	—
2023	19	ROK RAW	FCL Tigers	—	139	110	21	2	0	1	24	27	4	7	1	191	355	236	591	45	241	19	17	292	29	—	—	—	—	—	—
2024	20	ROK MLE	FCL Tigers	—	119	100	13	3	0	1	8	39	9	0	1	130	256	190	446	60	194	33	7	193	17	—	—	—	—	—	—
2024	20	ROK RAW	FCL Tigers	—	119	95	16	4	0	1	13	27	9	0	1	168	325	242	567	74	217	23	11	276	17	—	—	—	—	—	—
2022	18	ROK MLE	DSL Tigers 1	—	194	172	34	4	1	2	16	43	4	7	6	198	280	267	547	70	241	22	8	246	53	—	—	—	—	—	—
2023	19	ROK MLE	FCL Tigers	—	139	119	17	1	0	1	15	40	4	7	1	143	261	176	437	34	202	29	11	211	29	—	—	—	—	—	—
2024	20	ROK MLE	FCL Tigers	—	119	101	13	3	0	1	8	39	9	0	1	129	256	188	445	59	169	33	7	193	17	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Tigers	—	139	119	17	1	0	1	15	40	4	7	1	143	261	176	437	34	202	29	11	211	29	—	—	—	—	—	—
2024	20	ROK MLE	FCL Tigers	—	119	101	13	3	0	1	8	39	9	0	1	129	256	188	445	59	169	33	7	193	17	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	DET	0%	6	6	1	0	0	0	0	2	0	0	0	167	167	167	333		284	33	0	257	60	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	DET	34%	110	99	21	3	1	2	8	32	2	1	0	212	284	323	608	111	286	29	7	268	68	-4	+0	+0	+1	+2	-0.1
2028	24	MLB MLE	DET	46%	240	215	46	8	1	4	19	67	4	3	1	214	290	316	606	102	287	28	8	276	73	-8	+0	+0	+3	+5	0.0
2029	25	MLB MLE	DET	52%	326	292	63	11	2	6	26	91	5	4	1	216	291	329	620	113	288	28	8	281	76	-9	+0	+0	+3	+7	0.2
2030	26	MLB MLE	DET	54%	383	344	75	13	2	8	30	106	6	5	1	218	292	337	629	119	288	28	8	284	78	-10	+1	+0	+4	+8	0.3
2031	27	MLB MLE	DET	54%	413	370	80	14	2	8	33	114	7	6	2	216	293	330	622	114	288	28	8	284	78	-11	+0	+0	+4	+9	0.3
2032	28	MLB MLE	DET	54%	429	384	82	14	2	8	35	119	7	5	2	214	291	323	614	109	287	28	8	283	78	-11	+0	-1	+5	+9	0.2
2033	29	MLB MLE	DET	53%	431	386	82	14	2	8	35	121	7	5	1	212	290	321	611	109	287	28	8	281	77	-12	+1	-1	+5	+9	0.1
2034	30	MLB MLE	DET	52%	429	384	82	14	2	8	35	121	7	5	1	214	291	323	614	109	286	28	8	279	75	-13	+1	-2	+5	+9	-0.0
2027	23	MLB CTX	DET	34%	38	34	7	1	0	1	3	11	1	1	0	206	289	324	613	118	281	29	8	252	68	-1	+0	+0	+0	+1	-0.0
2028	24	MLB CTX	DET	46%	111	99	22	4	1	2	9	31	2	1	0	222	300	343	643	121	283	28	8	260	73	-4	+0	+0	+1	+2	0.0
2029	25	MLB CTX	DET	52%	168	150	32	5	1	3	13	47	3	2	1	213	289	320	609	107	283	28	8	265	76	-5	+0	+0	+2	+4	0.1
2030	26	MLB CTX	DET	54%	208	186	40	7	1	4	17	57	3	3	1	215	291	328	619	113	283	27	8	267	78	-5	+0	+0	+2	+5	0.2
2031	27	MLB CTX	DET	54%	224	200	42	7	1	4	18	62	4	3	1	210	288	315	603	105	283	28	8	268	78	-6	+0	+0	+2	+5	0.2
2032	28	MLB CTX	DET	54%	233	208	43	7	1	4	19	65	4	3	1	207	286	308	593	101	283	28	8	267	78	-6	+0	-0	+2	+5	0.1
2033	29	MLB CTX	DET	53%	229	204	43	7	1	4	19	64	4	3	1	211	291	314	604	103	282	28	8	265	77	-6	+0	-1	+2	+5	0.1
2034	30	MLB CTX	DET	52%	225	201	42	7	1	4	18	64	4	2	1	209	287	313	600	104	281	28	8	263	75	-7	+0	-1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1436	1282	271	45	7	26	116	401	25	18	6	211	290	318	608	107	284	28	8	265	71	-40	+1	-2	+15	+31	0.5
/ 162G	—	A+C		—	650	580	122	20	3	12	53	182	11	8	3	210	289	317	606	107	283	28	8	265	71	-18	+1	-1	+7	+14	0.2
Career	—	MLE		—	3219	2872	596	99	15	56	260	895	62	48	17	208	287	311	598	103	278	28	8	273	71	-78	+3	-4	+30	+60	1.1
/ 162G	—	MLE		—	650	580	120	20	3	11	53	181	13	10	3	207	288	309	597	102	278	28	8	273	71	-18	+1	-1	+7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Adam 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
#3Adam 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	+2.4	+3.0	1.1	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	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
/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	2.3	1,499	28	19	216	289	327	+16	+15	1.6	1.6
/162	664	12	8	+7.1	+6.6	0.7	pk7: 2
#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
Yimmy Diaz (OGILVIE)	22	—	—	—	—	199/274/278	79	284	1	1	30%	8%	60	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Riley Unroe 2018 · AA	22	40→48	37→45	47→55	44	191/259/260	69	276	4	12	31%	8%	49	-2.4	210/275/295	85	294	7	12	29%	8%	63	-1.4	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Reed Trimble 2022 · A	22	43	37→50	51→65	41	200/266/271	71	309	5	10	34%	8%	54	-2.0	217/280/311	94	307	7	17	29%	8%	68	-1.0	207/277/376	169	263	19	31	28%	8%	82	+0.0
✕Drew Stankiewicz 2015 · A	22	39→49	37→45	51→45	38	191/237/261	70	280	5	9	33%	6%	40	-3.1	223/279/306	83	288	4	7	22%	7%	66	-1.1	228/288/316	88	292	5	5	22%	7%	69	-0.5
✕Marcus Littlewood 2014 · A	22	41	40→45	48→45	47	195/269/292	97	281	7	4	31%	9%	61	-1.5	206/271/315	109	271	10	5	26%	8%	66	-1.1	204/271/311	107	262	9	4	25%	8%	63	-0.7
✕Adrian Nieto 2012 · A	22	41→47	40→45	47→40	41	198/255/285	88	283	7	4	32%	7%	53	-2.1	218/279/331	113	304	11	5	30%	7%	73	-0.6	219/283/333	114	299	11	3	29%	8%	73	-0.3
✕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
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕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
✕Skye Bolt 2017 · A	23	40→41	40→50	47→50	41	194/255/287	93	273	7	9	30%	6%	54	-2.0	201/262/330	129	290	12	10	33%	7%	66	-1.1	238/305/370	133	314	14	12	28%	8%	89	+0.2
✕Jose R. Flores 2010 · A	22	41→50	39→40	51→45	44	198/255/282	85	264	7	9	27%	7%	53	-2.1	242/287/330	88	290	7	8	18%	6%	74	-0.5	240/287/320	79	288	5	7	18%	6%	69	-0.6
✕Joseph Rosa 2019 · A	22	40→44	37→40	45→50	41	192/249/259	67	277	6	14	32%	6%	45	-2.7	206/271/295	89	295	7	11	30%	7%	61	-1.5	205/280/300	95	298	7	14	31%	8%	64	-0.8
✕Christopher Familia 2022 · A	22	42	38→55	47→45	43	200/270/287	86	279	5	10	28%	7%	59	-1.6	215/282/373	158	275	20	5	29%	7%	84	+0.2	208/273/389	181	258	25	2	30%	6%	81	-0.0
✕Mack Chambers 2022 · A	22	42	37→40	45→50	44	199/258/274	76	267	4	7	26%	7%	51	-2.2	211/273/310	99	281	8	11	26%	7%	65	-1.2	201/269/297	95	262	9	13	25%	8%	59	-0.8
✕Angelo Mora 2015 · A	22	41→51	37→45	43→45	40	198/244/270	72	270	4	9	28%	6%	45	-2.7	236/274/330	94	309	5	6	24%	5%	70	-0.9	250/284/351	101	320	5	4	23%	4%	74	-0.4
✕Ashton McGee 2021 · A	22	41	39→45	50→40	41	194/258/283	89	288	5	5	33%	7%	54	-2.0	201/288/312	111	366	10	4	43%	10%	72	-0.7	185/281/295	109	345	11	2	44%	11%	63	-0.7
✕Jose Sermo 2013 · A	22	44→36	41→55	48→50	37	214/256/311	97	298	8	8	30%	4%	59	-1.7	199/245/290	91	313	8	9	37%	5%	50	-2.3	196/239/321	125	302	14	13	38%	5%	53	-0.6
✕Ramon Mendoza 2023 · A	22	40→49	37→45	48→45	44	187/265/261	75	278	4	7	32%	8%	52	-2.2	212/285/310	98	296	8	5	29%	8%	70	-0.8	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕BJ Murray 2022 · A	22	45→49	42→45	52→50	39	215/264/323	107	311	9	8	33%	6%	65	-1.2	220/302/339	119	304	11	10	29%	10%	84	+0.1	206/292/336	129	262	15	14	26%	10%	77	-0.3
✕Elih Marrero 2019 · A	22	46	36→40	49→55	47	214/278/280	67	279	3	5	23%	8%	60	-1.6	213/272/293	80	285	5	9	25%	7%	61	-1.5	210/267/320	110	294	8	22	29%	6%	62	-0.4

Career Stats + Projections

Career Comps

Career Path Comps