Yandy Díaz — OGILVIE

Yandy Díaz1B Tampa Bay Rays

Age 34 R/R 6'0" / 235 lbs MLB Svc 9.000 · Ctrl thru 2026 peak 3.3 · 2026

wRC+†vL 171151vR 124

AVG/OBP/SLG.295 / .364 / .470

PA571

HR20

K%14

BB%9

xwOBA.357

Barrel%5.0%

MLB%100%

Scouting · now → future

HIT

60→60

PWR

50→50

SPD

40→40

EYE

51↗60

trajectory · 10 yrs

3.0peak

2026

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2017

Service 9.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$17M	+3.3	$26M	+$9M
Totals		$17M		$26M	+$9M

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
2014	22	A+	Carolina Mudcats	338	301	77	6	3	2	31	52	3	3	3	.256	.331	.316	.647	.060	.302	15	9	.295	84	-6	-1	+0	-6	+10	-0.3
2015	23	AA	3 teams	653	579	178	15	5	8	64	99	3	9	8	.307	.379	.392	.771	.085	.357	15	10	.339	118	+13	-1	+0	-12	+19	1.9
2016	24	AAA	3 teams	699	623	182	25	6	10	63	143	4	12	6	.292	.361	.400	.761	.108	.361	20	9	.333	113	+10	+0	+0	-12	+20	1.8
2017	25	AAA	3 teams	598	523	166	25	3	4	64	111	5	3	2	.317	.397	.400	.797	.082	.393	19	11	.347	124	+16	-0	-1	+2	+17	3.4
2018	26	AAA	2 teams	546	479	138	28	2	3	59	108	2	2	3	.288	.369	.374	.742	.086	.362	20	11	.330	111	+7	-1	-1	-10	+15	1.1
2019	27	MLB	Tampa Bay Rays	347	307	83	21	1	14	35	61	1	2	2	.270	.347	.482	.829	.212	.292	18	10	.357	131	+12	-0	-1	+1	+10	2.2
2020	28	MLB	Tampa Bay Rays	138	114	37	3	0	2	23	17	1	0	0	.325	.442	.404	.846	.079	.368	12	17	.384	152	+8	+0	-3	+0	+4	1.0
2021	29	MLB	Tampa Bay Rays	541	465	118	20	1	14	69	85	3	1	1	.254	.354	.391	.745	.138	.281	16	13	.319	102	+1	-0	-3	-10	+15	0.4
2022	30	MLB	Tampa Bay Rays	558	473	144	35	0	9	78	60	6	3	3	.304	.409	.436	.845	.131	.333	11	14	.368	140	+25	-1	-5	+2	+16	3.8
2023	31	MLB	Tampa Bay Rays	600	525	170	35	0	21	65	94	8	0	1	.324	.406	.510	.917	.187	.362	16	11	.400	164	+44	-0	-8	-11	+17	4.3
2024	32	MLB	Tampa Bay Rays	621	563	154	30	1	14	50	95	4	0	0	.274	.337	.405	.742	.131	.306	15	8	.329	110	+7	+0	-7	-11	+18	0.7
2025	33	MLB	Tampa Bay Rays	651	583	172	28	1	24	57	92	6	3	1	.295	.364	.470	.834	.175	.314	14	9	.362	135	+26	+0	-5	-12	+18	2.8
▸ 2026 Season (actual · ROS · total)
2026	34	MLB	Tampa Bay Rays	108	94	32	3	1	3	10	14	4	1	0	.340	.426	.489	.915	.149	.377	13	9	.392	158	+7	+0	+0	-2	+3	0.9
ROS	34	MLB	TB	463	412	127	20	2	16	41	64	7	2	1	.308	.380	.483	.863	.175	.331	14	9	.380	149	+26	+0	-7	-8	+13	2.4
TOT	34	MLB	TB	571	506	159	23	3	19	51	78	11	3	1	.314	.389	.484	.873	.170	.341	14	9	.382	151	+33	+0	-7	-10	+16	3.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	35	MLB	TB	502	445	134	21	2	16	44	61	8	2	0	.301	.374	.465	.839	.164	.317	12	9	.372	143	+24	+0	-13	-9	+14	1.7
2028	36	MLB	TB	440	392	115	18	1	13	38	58	7	1	0	.293	.366	.444	.810	.151	.315	13	9	.362	135	+17	+0	-13	-8	+12	0.9
2029	37	MLB	TB	374	333	95	15	1	10	32	53	6	0	0	.285	.358	.426	.785	.141	.311	14	9	.351	127	+11	+0	-13	-7	+11	0.3
2030	38	MLB	TB	302	270	75	11	1	8	25	45	4	0	0	.278	.348	.415	.763	.137	.307	15	8	.340	118	+6	+0	-12	-5	+9	-0.3
2031	39	MLB	TB	227	204	55	8	1	5	18	35	3	0	0	.270	.338	.392	.730	.123	.302	15	8	.328	109	+2	+0	-12	-4	+6	-0.7
2032	40	MLB	TB	155	139	36	5	0	3	13	24	2	0	0	.259	.331	.360	.691	.101	.299	15	8	.324	106	+1	+0	-11	-3	+4	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			8753	7730	2256	369	31	196	869	1357	83	43	31	.292	.370	.424	.793	.132	.331	16	10	.349	125	+251	-4	-115	-121	+248	26.4
/ 162G	—			650	574	167	27	2	15	65	101	6	3	2	.291	.369	.423	.792	.132	.329	16	10	.349	125	+19	-0	-9	-9	+18	2.0

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
2014	22	A+	Carolina Mudcats	338	283	81	7	5	2	49	35	3	3	3	.286	.397	.367	.765	.081	.320	10	14	.350	126	+10	-1	—	—	+10	1.9
2015	23	AAA	Columbus Clippers	19	19	3	2	0	0	0	5	0	0	0	.158	.158	.263	.421	.105	.214	26	0	.183	-2	-2	+0	—	—	+1	-0.2
2015	23	AA	Akron RubberDucks	564	476	150	13	5	7	78	65	3	8	7	.315	.415	.408	.822	.092	.350	12	14	.371	142	+27	-1	—	—	+16	4.2
2015	23	INTL	Scottsdale Scorpions	70	61	15	2	0	1	9	14	0	1	1	.246	.343	.328	.671	.082	.304	20	13	.311	96	-0	-0	—	—	+2	0.2
2016	24	AAA	Columbus Clippers	416	360	117	22	3	7	47	70	1	5	1	.325	.404	.461	.866	.136	.381	17	11	.380	149	+23	+1	—	—	+12	3.6
2016	24	AA	Akron RubberDucks	110	84	24	0	1	2	24	16	1	6	2	.286	.450	.381	.830	.095	.328	15	22	.384	152	+6	+0	—	—	+3	1.0
2016	24	INTL	Leones del Caracas	173	151	56	9	3	2	20	26	2	1	3	.371	.451	.510	.961	.139	.439	15	12	.428	185	+17	-1	—	—	+5	2.1
2017	25	MLB	Cleveland Indians	179	156	41	8	1	0	21	35	1	2	0	.263	.354	.327	.681	.064	.336	20	12	.314	99	-0	+0	-1	+2	+5	0.6
2017	25	AAA	Columbus Clippers	374	309	108	17	1	5	60	56	1	1	2	.350	.457	.460	.916	.110	.412	15	16	.410	172	+30	-1	—	—	+11	4.1
2017	25	INTL	Leones del Caracas	45	30	10	2	1	1	11	1	3	0	0	.333	.545	.567	1.112	.233	.310	2	24	.479	225	+6	+0	—	—	+1	0.8
2018	26	MLB	Cleveland Indians	120	109	34	5	2	1	11	19	0	0	0	.312	.375	.422	.797	.110	.371	16	9	.358	132	+4	+0	-1	-10	+3	-0.3
2018	26	AAA	Columbus Clippers	426	348	102	24	0	3	70	75	2	2	3	.293	.414	.388	.802	.095	.360	18	16	.364	137	+18	-1	—	—	+12	3.0
2019	27	MLB	Tampa Bay Rays	347	307	82	20	1	14	35	61	1	2	2	.267	.344	.476	.820	.208	.288	18	10	.358	132	+13	-0	-1	+1	+10	2.2
2020	28	MLB	Tampa Bay Rays	138	114	35	3	0	2	23	17	1	0	0	.307	.428	.386	.814	.079	.347	12	17	.376	146	+7	+0	-3	+0	+4	0.9
2021	29	MLB	Tampa Bay Rays	541	465	119	20	1	13	69	85	3	1	1	.256	.356	.387	.743	.131	.286	16	13	.336	115	+9	-0	-3	-10	+15	1.1
2022	30	MLB	Tampa Bay Rays	558	473	140	33	0	9	78	60	6	3	3	.296	.402	.423	.825	.127	.323	11	14	.374	144	+28	-1	-5	+2	+16	4.1
2023	31	MLB	Tampa Bay Rays	600	525	173	35	0	22	65	94	8	0	1	.330	.411	.522	.933	.192	.367	16	11	.412	173	+50	-0	-8	-11	+17	4.9
2024	32	MLB	Tampa Bay Rays	621	563	158	31	1	14	50	95	4	0	0	.281	.344	.414	.757	.133	.314	15	8	.338	117	+12	+0	-7	-11	+18	1.2
2025	33	MLB	Tampa Bay Rays	651	583	175	29	1	25	57	92	6	3	1	.300	.368	.482	.850	.182	.318	14	9	.374	145	+33	+0	-5	-12	+18	3.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3755	3295	957	184	7	100	409	558	30	11	8	.290	.374	.442	.815	.151	.322	15	11	.364	137	+155	-1	-34	-47	+106	18.3

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
Yandy Díaz (OGILVIE)	34	60	50	40	60	.305/.378/.476	.170	.319	19	3	11%	9%	149	+4.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Rondell White 2006 · MLB	34	56→62	54→60	41→40	49	.286/.339/.469	.183	.304	21	3	14%	6%	131	+3.9	.251/.294/.392	.141	.275	16	4	15%	5%	92	+1.2	.229/.266/.346	.117	.252	13	1	15%	4%	64	-0.4
●Kevin Millar 2006 · MLB	34	56→62	50→65	40→30	56	.277/.359/.440	.163	.307	17	2	16%	10%	131	+3.9	.263/.358/.422	.159	.292	17	2	16%	12%	126	+3.5	.250/.352/.413	.162	.273	19	1	16%	12%	117	+2.7
✕Aubrey Huff 2011 · MLB	34	53→60	55→60	44→45	57	.270/.347/.464	.195	.282	22	5	14%	10%	132	+4.0	.245/.323/.393	.148	.270	16	6	15%	10%	104	+2.0	.232/.306/.352	.120	.260	12	4	15%	9%	79	+0.2
●Hideki Matsui 2008 · MLB	34	56→60	55→60	45→40	60	.288/.365/.481	.193	.295	22	4	12%	11%	144	+4.8	.280/.362/.466	.186	.296	23	3	14%	11%	139	+4.4	.277/.364/.466	.189	.295	24	0	15%	12%	134	+3.3
●Adrián González 2016 · MLB	34	55→64	54→65	40→30	53	.280/.344/.463	.183	.304	22	2	17%	9%	131	+3.9	.271/.334/.430	.159	.309	18	2	18%	8%	118	+3.0	.267/.328/.408	.140	.308	16	0	18%	8%	103	+1.2
●Raul Ibanez 2007 · MLB	35	56→61	55→60	42→45	55	.286/.351/.475	.189	.307	22	5	15%	9%	137	+4.3	.285/.351/.486	.201	.313	23	3	16%	9%	139	+4.4	.283/.352/.496	.212	.311	25	2	17%	9%	134	+4.3
●Michael Brantley 2021 · MLB	34	60→67	51→55	47→60	55	.300/.360/.474	.173	.314	18	7	11%	8%	140	+4.5	.290/.352/.428	.138	.312	13	4	11%	8%	124	+3.4	.292/.357/.413	.120	.312	10	1	10%	8%	119	+1.5
●John Olerud 2003 · MLB	34	58→60	51→50	41→30	68	.291/.394/.463	.172	.305	18	2	11%	14%	150	+5.2	.273/.370/.415	.142	.292	14	2	11%	13%	129	+3.7	.265/.362/.388	.123	.286	12	0	11%	12%	112	+1.9
●David Segui 2001 · MLB	35	63→67	51→50	42→30	54	.313/.370/.485	.172	.340	18	3	14%	8%	147	+5.0	.293/.371/.453	.160	.337	16	3	17%	11%	139	+4.4	.280/.373/.421	.141	.331	14	2	18%	12%	124	+1.3
●Carlos Lee 2010 · MLB	34	57→59	59→65	44→50	53	.299/.350/.510	.212	.290	27	6	9%	7%	146	+4.9	.267/.323/.433	.166	.268	19	4	9%	7%	115	+2.7	.256/.318/.399	.143	.260	15	3	9%	8%	96	+1.5
●Justin Turner 2019 · MLB	34	59→64	57→60	48→45	57	.302/.387/.510	.208	.319	23	6	14%	10%	160	+5.9	.290/.376/.479	.189	.315	22	4	15%	10%	148	+5.1	.272/.350/.441	.169	.302	20	3	17%	9%	125	+3.4
●Hunter Pence 2017 · MLB	34	55→63	53→60	47→50	50	.277/.336/.457	.180	.319	21	7	20%	8%	126	+3.5	.263/.318/.416	.153	.313	19	6	21%	7%	107	+2.2	.260/.312/.409	.149	.309	19	6	22%	7%	100	+1.2
●Bill Mueller 2005 · MLB	34	58→64	51→55	39→40	60	.288/.368/.462	.173	.308	16	3	12%	11%	140	+4.5	.282/.361/.432	.150	.308	13	3	12%	10%	129	+3.7	.284/.367/.420	.136	.311	11	1	12%	11%	122	+2.0
✕Mike Sweeney 2006 · MLB	33	56→65	57→60	45	55	.289/.353/.492	.203	.292	25	5	12%	8%	142	+4.6	.268/.332/.446	.178	.283	20	4	13%	8%	121	+3.2	.267/.327/.417	.150	.274	18	4	10%	7%	108	+0.8
✕Dmitri Young 2008 · MLB	34	57→65	52→60	45	50	.287/.343/.461	.174	.323	19	3	18%	8%	130	+3.8	.276/.353/.423	.147	.315	15	4	16%	10%	124	+3.4	.278/.395/.397	.119	.319	13	0	16%	16%	121	+0.9
●Shawn Green 2007 · MLB	34	54→60	52→65	44→50	55	.275/.348/.452	.177	.298	19	6	15%	9%	129	+3.7	.277/.340/.427	.150	.305	15	10	14%	8%	120	+3.1	.290/.350/.428	.138	.318	12	13	13%	8%	118	+2.4
●Steve Pearce 2017 · MLB	34	51→57	59→60	41→50	53	.266/.344/.479	.213	.293	27	5	20%	10%	135	+4.2	.251/.330/.433	.182	.285	22	3	20%	9%	118	+3.0	.238/.321/.407	.169	.274	20	0	21%	9%	105	+0.9
●Adam Lind 2017 · MLB	34	52→61	55→60	41→40	52	.268/.332/.452	.184	.297	22	2	19%	9%	123	+3.3	.252/.308/.431	.179	.281	23	3	19%	8%	108	+2.3	.247/.300/.413	.166	.274	22	1	19%	7%	94	+0.6
●Ryan Klesko 2005 · MLB	34	55→60	54→65	41→50	64	.278/.376/.470	.193	.300	21	5	15%	13%	145	+4.9	.259/.358/.421	.162	.290	17	5	16%	13%	125	+3.5	.252/.351/.408	.156	.283	15	5	16%	13%	115	+2.2
★Magglio Ordonez 2008 · MLB	34	63→71	55→65	40→50	56	.321/.384/.516	.195	.338	22	3	12%	9%	161	+6.0	.315/.380/.489	.174	.338	19	3	12%	9%	151	+5.3	.307/.375/.463	.156	.329	17	2	12%	10%	139	+3.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)