Yasmany Tomás

PosRF

B/TR/R

Born1990-11-14

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	32	INTLCaneros de lo…	244	.270/.306/.439	10	1	107	—
2024	33	INTLCaneros de lo…	230	.222/.291/.459	13	0	106	—
2025	34	INTLCaneros de lo…	209	.221/.262/.369	7	0	74	—

Contract

No contract data on file.

Skills · percentileStatcast 2016-2019

xwOBA76

Barrel%66

Avg EV64

Speed36

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. 2027 = full-season projection (no games played yet). 2028+ 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)
2015	24	MLB	Arizona Diamondbacks	—	426	406	111	19	3	9	17	110	2	5	2	273	306	401	707	128	354	26	4	314	93	-4	+0	-13	-5	+9	-1.2
2015	24	AAA	Reno Aces	—	23	21	4	1	0	1	2	5	0	0	0	190	261	381	642	190	200	22	9	286	32	—	—	—	—	—	—
2016	25	MLB	Arizona Diamondbacks	—	563	530	144	30	1	31	31	136	1	2	4	272	313	508	821	236	310	24	6	357	119	+13	-1	-19	-6	+12	-0.2
2017	26	MLB	Arizona Diamondbacks	—	180	166	40	11	1	8	13	50	0	0	0	241	296	464	760	223	294	28	7	331	103	+1	+0	-4	-2	+4	-0.2
2018	27	AAA	Reno Aces	—	371	355	93	22	4	14	11	101	0	2	0	262	284	465	749	203	322	27	3	322	40	—	—	—	—	—	—
2019	28	AAA	Reno Aces	—	431	405	122	24	3	29	22	110	3	2	0	301	342	590	932	289	348	26	5	402	70	—	—	—	—	—	—
2021	30	AAA	Rochester Red Wings	—	96	81	15	6	0	3	13	28	0	0	1	185	298	370	668	185	231	29	14	296	36	—	—	—	—	—	—
2022	31	INTL	Caneros de los Mochis	—	287	259	85	17	0	10	25	62	0	4	2	328	387	510	897	181	395	22	9	392	152	—	—	—	—	—	—
2023	32	INTL	Caneros de los Mochis	—	244	230	62	9	0	10	12	74	0	1	1	270	306	439	745	170	351	30	5	326	107	—	—	—	—	—	—
2024	33	INTL	Caneros de los Mochis	—	230	207	46	10	0	13	18	60	2	0	0	222	291	459	750	237	241	26	8	325	106	—	—	—	—	—	—
2025	34	INTL	Caneros de los Mochis	—	209	195	43	8	0	7	10	51	1	0	0	221	262	369	631	149	257	24	5	277	74	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1169	1102	295	60	5	48	61	296	3	7	6	268	308	462	770	194	325	25	5	337	115	+20	-1	-37	-13	+25	-0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	24	MLB MLE	Arizona Diamondbacks	—	426	406	108	17	2	9	17	110	2	5	2	266	299	384	683	118	354	26	4	305	93	-4	+0	-13	-5	+9	-1.2
2015	24	AAA MLE	Reno Aces	—	23	22	4	1	0	1	1	7	0	0	0	182	217	364	581	182	177	30	4	215	32	—	—	—	—	—	—
2016	25	MLB MLE	Arizona Diamondbacks	—	563	534	141	27	1	31	27	136	1	2	4	264	301	493	793	228	310	24	5	344	119	+13	-1	-19	-6	+12	-0.2
2017	26	MLB MLE	Arizona Diamondbacks	—	180	166	39	10	1	8	13	50	0	0	0	235	291	452	742	217	294	28	7	321	103	+1	+0	-4	-2	+4	-0.2
2018	27	AAA MLE	Reno Aces	—	371	359	70	15	3	10	7	131	0	2	0	195	210	337	547	142	261	35	2	228	40	—	—	—	—	—	—
2019	28	AAA MLE	Reno Aces	—	431	412	87	16	2	19	15	147	3	2	0	211	244	398	642	187	272	34	3	272	70	—	—	—	—	—	—
2021	30	AAA MLE	Rochester Red Wings	—	96	85	12	5	0	2	9	34	0	0	1	141	223	271	494	129	194	35	9	222	36	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	449	428	111	18	2	10	18	117	2	5	2	259	292	381	673	121	334	26	4	301	90	-6	+0	-13	-5	+10	-1.4
2015	24	MLB RAW	2 teams	—	449	427	115	20	3	10	19	115	2	5	2	269	304	400	704	131	347	26	4	312	90	-6	+0	-13	-5	+10	-1.4
2016	25	MLB MLE	Arizona Diamondbacks	—	563	534	141	27	1	31	27	136	1	2	4	264	301	493	793	228	299	24	5	344	119	+13	-1	-19	-6	+12	-0.2
2016	25	MLB RAW	Arizona Diamondbacks	—	563	530	144	30	1	31	31	136	1	2	4	272	313	508	821	236	310	24	6	357	119	+13	-1	-19	-6	+12	-0.2
2017	26	MLB MLE	Arizona Diamondbacks	—	180	166	39	10	1	8	13	50	0	0	0	235	291	452	742	217	284	28	7	321	103	+1	+0	-4	-2	+4	-0.2
2017	26	MLB RAW	Arizona Diamondbacks	—	180	166	40	11	1	8	13	50	0	0	0	241	296	464	760	223	294	28	7	331	103	+1	+0	-4	-2	+4	-0.2
2018	27	AAA MLE	Reno Aces	—	371	359	70	15	3	10	7	131	0	2	0	195	210	337	547	142	269	35	2	228	40	—	—	—	—	—	—
2018	27	AAA RAW	Reno Aces	—	371	355	93	22	4	14	11	101	0	2	0	262	284	465	749	203	322	27	3	322	40	—	—	—	—	—	—
2019	28	AAA MLE	Reno Aces	—	431	412	87	16	2	19	15	147	3	2	0	211	244	398	642	187	275	34	3	272	70	—	—	—	—	—	—
2019	28	AAA RAW	Reno Aces	—	431	405	122	24	3	29	22	110	3	2	0	301	342	590	932	289	348	26	5	402	70	—	—	—	—	—	—
2021	30	AAA MLE	Rochester Red Wings	—	96	85	12	5	0	2	9	34	0	0	1	141	223	271	494	129	196	35	9	222	36	—	—	—	—	—	—
2021	30	AAA RAW	Rochester Red Wings	—	96	81	15	6	0	3	13	28	0	0	1	185	298	370	668	185	231	29	14	296	36	—	—	—	—	—	—
2022	31	INTL MLE	Caneros de los Mochis	—	287	259	85	17	0	10	25	62	0	4	2	328	387	510	897	181	395	22	9	—	—	—	—	—	—	—	—
2022	31	INTL RAW	Caneros de los Mochis	—	287	259	85	17	0	10	25	62	0	4	2	328	387	510	897	181	395	22	9	392	152	—	—	—	—	—	—
2023	32	INTL MLE	Caneros de los Mochis	—	244	230	62	9	0	10	12	74	0	1	1	270	306	439	745	170	351	30	5	—	—	—	—	—	—	—	—
2023	32	INTL RAW	Caneros de los Mochis	—	244	230	62	9	0	10	12	74	0	1	1	270	306	439	745	170	351	30	5	326	107	—	—	—	—	—	—
2024	33	INTL MLE	Caneros de los Mochis	—	230	207	46	10	0	13	18	60	2	0	0	222	291	459	750	237	241	26	8	—	—	—	—	—	—	—	—
2024	33	INTL RAW	Caneros de los Mochis	—	230	207	46	10	0	13	18	60	2	0	0	222	291	459	750	237	241	26	8	325	106	—	—	—	—	—	—
2025	34	INTL MLE	Caneros de los Mochis	—	209	195	43	8	0	7	10	51	1	0	0	221	262	369	631	149	257	24	5	—	—	—	—	—	—	—	—
2025	34	INTL RAW	Caneros de los Mochis	—	209	195	43	8	0	7	10	51	1	0	0	221	262	369	631	149	257	24	5	277	74	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	449	426	111	18	2	10	18	117	2	5	2	261	292	383	675	122	345	26	4	301	90	—	—	—	—	—	—
2016	25	MLB MLE	Arizona Diamondbacks	—	563	530	141	27	1	31	27	136	1	2	4	266	301	496	797	230	310	24	5	344	119	—	—	—	—	—	—
2017	26	MLB MLE	Arizona Diamondbacks	—	180	165	39	10	1	8	13	50	0	0	0	236	291	455	745	218	294	28	7	321	103	—	—	—	—	—	—
2018	27	AAA MLE	Reno Aces	—	371	361	70	15	3	10	7	131	0	2	0	194	210	335	546	141	261	35	2	228	40	—	—	—	—	—	—
2019	28	AAA MLE	Reno Aces	—	431	410	87	16	2	19	15	147	3	2	0	212	244	400	644	188	272	34	3	272	70	—	—	—	—	—	—
2021	30	AAA MLE	Rochester Red Wings	—	96	87	12	5	0	2	9	34	0	0	1	138	223	264	488	126	194	35	9	222	36	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1169	1102	295	60	5	48	61	296	3	7	6	268	308	462	770	194	325	25	5	337	21	+20	-1	-37	-13	+25	-0.5
/ 162G	—	A+C		—	650	613	164	33	3	27	34	165	2	4	3	268	309	463	772	196	324	25	5	337	21	+11	-1	-20	-7	+14	-0.3
Career	—	MLE		—	3060	2875	696	135	9	120	154	862	9	16	10	242	283	421	703	178	301	28	5	199	21	+20	-1	-37	-13	+25	-0.5
/ 162G	—	MLE		—	650	611	148	29	2	25	33	183	2	3	2	242	284	419	703	177	301	28	5	199	21	+11	-1	-20	-7	+14	-0.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2021 AAARochester Red Wings · 96 PAwOBA .295 → .222 (−73)K% 29.2% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.17%	÷0.979	×1.200	—	—	35.74%
BB% (unintentional) /PA	13.54%	÷1.014	×0.690	—	×0.962	8.86%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	11.32%	÷0.994	×0.930	×1.010	×0.962	10.29%
Doubles /BIP	11.32%	÷1.005	×0.830	×1.010	×0.962	9.08%
Triples /BIP	0.00%	÷1.150	×0.920	×1.010	×0.962	0.00%
Home runs /BIP	5.66%	÷0.968	×0.700	—	×0.962	3.94%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .295 → .222; ISO .185 → .137; BABIP .231 → .194. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAAReno Aces · 431 PAwOBA .390 → .272 (−119)K% 25.5% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.52%	÷0.970	×1.290	—	—	33.95%
BB% (unintentional) /PA	4.87%	÷0.986	×0.710	—	×0.982	3.45%
HBP% /PA	0.70%	—	×0.980	—	×0.982	0.67%
Singles /BIP	22.37%	÷1.035	×0.900	×0.972	×0.982	18.56%
Doubles /BIP	8.14%	÷1.025	×0.810	×0.972	×0.982	6.13%
Triples /BIP	1.02%	÷1.150	×0.810	×0.972	×0.982	0.68%
Home runs /BIP	9.83%	÷1.077	×0.780	—	×0.982	6.99%

Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 107, 2B 105, 3B 130, K 94, BB 97 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .390 → .272; ISO .289 → .188; BABIP .348 → .272. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAAReno Aces · 371 PAwOBA .316 → .228 (−88)K% 27.2% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.22%	÷0.991	×1.290	—	—	35.45%
BB% (unintentional) /PA	2.70%	÷1.069	×0.710	—	×0.992	1.78%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	20.87%	÷1.024	×0.900	×1.002	×0.992	18.23%
Doubles /BIP	8.66%	÷1.117	×0.810	×1.002	×0.992	6.24%
Triples /BIP	1.57%	÷1.150	×0.810	×1.002	×0.992	1.10%
Home runs /BIP	5.51%	÷1.044	×0.780	—	×0.992	4.09%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 105, 2B 123, 3B 130, K 98, BB 114 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .316 → .228; ISO .203 → .136; BABIP .322 → .261. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAAReno Aces · 23 PAwOBA .278 → .215 (−63)K% 21.7% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.74%	÷0.969	×1.290	—	—	28.93%
BB% (unintentional) /PA	8.70%	÷0.997	×0.710	—	×1.033	6.40%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	12.50%	÷0.964	×0.900	—	×1.033	12.05%
Doubles /BIP	6.25%	÷1.083	×0.810	—	×1.033	4.83%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.033	0.00%
Home runs /BIP	6.25%	÷1.027	×0.780	—	×1.033	4.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 93, 2B 117, 3B 130, K 94, BB 99 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .278 → .215; ISO .190 → .138; BABIP .200 → .177. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .