Jordan Diaz

Pos2B

B/TR/R

Born2000-08-13

Age (2027)26

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	22	AAAOAK	169	.308/.351/.506	6	0	102	—	.280/.310/.422
2023	22	MLBOakland Athle…	293	.221/.274/.364	10	0	83	-0.4
2024	23	AAA/INTL2 orgs	527	.289/.349/.491	23	1	105	—	.278/.329/.447
2025	24	INTLGigantes del …	21	.143/.143/.286	1	0	12	—
2026	25	No MLB games played

Last 3 seasons WAR -0.4

Contract

No contract data on file.

Skills · percentileStatcast 2022-2023

Bat Spd68

Avg EV56

Barrel%29

xwOBA22

Speed10

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)
2017	16	ROK	DSL Athletics	—	177	164	40	7	0	0	6	26	3	3	0	244	283	287	570	43	282	15	3	256	4	—	—	—	—	—	—
2018	17	ROK	AZL Athletics	—	186	159	44	11	2	1	19	22	6	0	2	277	375	390	765	113	312	12	10	345	63	—	—	—	—	—	—
2020	19	INTL	Colombia	—	20	19	7	3	0	0	0	2	0	0	0	368	368	526	895	158	389	10	0	374	139	—	—	—	—	—	—
2021	20	A+	Lansing Lugnuts	—	365	333	96	24	1	13	25	58	2	2	3	288	342	483	825	195	311	16	7	359	97	—	—	—	—	—	—
2022	21	MLB	Oakland Athletics	—	51	49	13	3	0	0	2	7	0	0	0	265	294	327	621	61	310	14	4	280	75	-2	+0	-3	+2	+1	-0.1
2022	21	AAA	Las Vegas Aviators	—	120	112	39	8	1	4	6	15	1	0	0	348	387	545	931	196	372	12	5	406	130	—	—	—	—	—	—
2022	21	AA	Midland RockHounds	—	407	379	121	26	0	15	22	61	4	0	0	319	363	507	870	187	348	15	5	382	119	—	—	—	—	—	—
2022	21	INTL	Colombia	—	40	34	9	3	0	1	6	5	0	2	0	265	375	441	816	176	286	12	15	366	134	—	—	—	—	—	—
2023	22	MLB	Oakland Athletics	—	293	272	60	9	0	10	17	69	3	0	1	221	274	364	638	143	258	24	6	285	83	-6	-0	-6	+2	+6	-0.4
2023	22	AAA	Las Vegas Aviators	—	169	156	48	13	0	6	10	30	1	0	1	308	351	506	858	199	347	18	6	374	102	—	—	—	—	—	—
2024	23	AAA	Las Vegas Aviators	—	436	395	119	22	1	22	34	78	5	0	0	301	364	529	893	228	327	18	8	390	113	—	—	—	—	—	—
2024	23	INTL	Naranjeros de Hermosillo	—	91	86	20	4	0	1	5	20	0	1	0	233	275	314	589	81	292	22	5	267	67	—	—	—	—	—	—
2025	24	INTL	Gigantes del Cibao	—	21	21	3	0	0	1	0	9	0	0	0	143	143	286	429	143	182	43	0	185	12	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	344	321	73	12	0	10	19	76	3	0	1	227	277	358	635	131	267	22	6	284	79	-9	-0	-9	+4	+7	-0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2017	16	ROK MLE	DSL Athletics	—	177	166	27	4	0	0	4	32	3	3	0	163	197	187	383	24	191	18	2	174	4	—	—	—	—	—	—
2018	17	ROK MLE	AZL Athletics	—	186	166	35	8	1	1	12	32	6	0	2	211	288	289	577	78	253	17	6	261	63	—	—	—	—	—	—
2021	20	A+ MLE	Lansing Lugnuts	—	365	339	88	19	1	11	19	78	2	2	3	260	303	419	722	159	297	21	5	312	97	—	—	—	—	—	—
2022	21	MLB MLE	Oakland Athletics	—	51	49	13	3	0	0	2	7	0	0	0	265	294	327	621	61	310	14	4	279	75	-2	+0	-3	+2	+1	-0.1
2022	21	AAA MLE	Las Vegas Aviators	—	120	114	38	7	1	3	4	18	1	0	0	333	361	491	853	158	364	15	3	361	130	—	—	—	—	—	—
2022	21	AA MLE	Midland RockHounds	—	407	384	112	23	0	15	17	75	4	0	0	292	328	469	797	177	326	18	4	344	119	—	—	—	—	—	—
2023	22	MLB MLE	Oakland Athletics	—	293	272	61	9	0	11	17	69	3	0	1	224	277	379	656	154	258	24	6	291	83	-6	-0	-6	+2	+6	-0.4
2023	22	AAA MLE	Las Vegas Aviators	—	169	161	45	11	0	4	6	35	1	0	1	280	310	422	732	143	328	21	4	319	102	—	—	—	—	—	—
2024	23	AAA MLE	Las Vegas Aviators	—	436	403	112	18	1	16	26	92	5	0	0	278	329	447	776	169	321	21	6	335	113	—	—	—	—	—	—
2017	16	ROK MLE	DSL Athletics	—	177	166	27	4	0	0	4	32	3	3	0	163	197	187	383	24	196	18	2	174	4	—	—	—	—	—	—
2017	16	ROK RAW	DSL Athletics	—	177	164	40	7	0	0	6	26	3	3	0	244	283	287	570	43	282	15	3	256	4	—	—	—	—	—	—
2018	17	ROK MLE	AZL Athletics	—	186	166	35	8	1	1	12	32	6	0	2	211	288	289	577	78	252	17	6	261	63	—	—	—	—	—	—
2018	17	ROK RAW	AZL Athletics	—	186	159	44	11	2	1	19	22	6	0	2	277	375	390	765	113	312	12	10	345	63	—	—	—	—	—	—
2020	19	INTL MLE	Colombia	—	20	19	7	3	0	0	0	2	0	0	0	368	368	526	895	158	389	10	0	—	—	—	—	—	—	—	—
2020	19	INTL RAW	Colombia	—	20	19	7	3	0	0	0	2	0	0	0	368	368	526	895	158	389	10	0	374	139	—	—	—	—	—	—
2021	20	A+ MLE	Lansing Lugnuts	—	365	339	88	19	1	11	19	78	2	2	3	260	303	419	722	159	302	21	5	312	97	—	—	—	—	—	—
2021	20	A+ RAW	Lansing Lugnuts	—	365	333	96	24	1	13	25	58	2	2	3	288	342	483	825	195	311	16	7	359	97	—	—	—	—	—	—
2022	21	AA MLE	4 teams	—	618	585	173	35	1	19	25	107	5	2	0	296	330	456	786	161	333	17	4	342	117	—	—	—	—	—	—
2022	21	AA RAW	4 teams	—	618	574	182	40	1	20	36	88	5	2	0	317	363	495	857	178	345	14	6	377	117	—	—	—	—	—	—
2023	22	MLB MLE	2 teams	—	462	433	105	19	0	15	23	104	4	0	2	242	287	390	677	148	285	23	5	302	90	-5	-1	-6	+2	+10	-0.1
2023	22	MLB RAW	2 teams	—	462	428	108	22	0	16	27	99	4	0	2	252	302	416	718	164	292	21	6	317	90	-5	-1	-6	+2	+10	-0.1
2024	23	AAA MLE	2 teams	—	527	489	135	22	1	19	31	111	5	1	0	276	326	442	767	166	321	21	6	335	113	—	—	—	—	—	—
2024	23	AAA RAW	2 teams	—	527	481	139	26	1	23	39	98	5	1	0	289	349	491	839	202	320	19	7	369	113	—	—	—	—	—	—
2025	24	INTL MLE	Gigantes del Cibao	—	21	21	3	0	0	1	0	9	0	0	0	143	143	286	429	143	182	43	0	—	—	—	—	—	—	—	—
2025	24	INTL RAW	Gigantes del Cibao	—	21	21	3	0	0	1	0	9	0	0	0	143	143	286	429	143	182	43	0	185	12	—	—	—	—	—	—
2017	16	ROK MLE	DSL Athletics	—	177	168	27	4	0	0	4	32	3	3	0	161	197	185	381	24	191	18	2	174	4	—	—	—	—	—	—
2018	17	ROK MLE	AZL Athletics	—	186	166	35	8	1	1	12	32	6	0	2	211	288	289	577	78	253	17	6	261	63	—	—	—	—	—	—
2021	20	A+ MLE	Lansing Lugnuts	—	365	341	88	19	1	11	19	78	2	2	3	258	303	416	719	158	297	21	5	312	97	—	—	—	—	—	—
2022	21	AA MLE	4 teams	—	618	583	173	35	1	19	25	107	5	2	0	297	330	458	788	161	332	17	4	342	117	—	—	—	—	—	—
2023	22	MLB MLE	2 teams	—	462	432	105	19	0	15	23	104	4	0	2	243	287	391	678	148	283	23	5	302	90	—	—	—	—	—	—
2024	23	AAA MLE	2 teams	—	527	486	135	22	1	19	31	111	5	1	0	278	326	444	770	167	321	21	6	335	113	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	AAA MLE	2 teams	—	527	486	135	22	1	19	31	111	5	1	0	278	326	444	770	167	321	21	6	335	113	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	344	321	73	12	0	10	19	76	3	0	1	227	277	358	635	131	267	22	6	284	91	-9	-0	-9	+4	+7	-0.7
/ 162G	—	A+C		—	650	607	138	23	0	19	36	144	6	0	2	227	278	359	637	132	267	22	6	284	91	-17	-1	-17	+7	+14	-1.3
Career	—	MLE		—	2376	2218	573	110	4	66	114	475	25	8	7	258	302	401	703	142	299	20	5	303	91	-9	-0	-9	+4	+7	-0.7
/ 162G	—	MLE		—	650	607	157	30	1	18	31	130	7	2	2	259	302	400	703	142	300	20	5	303	91	-17	-1	-17	+7	+14	-1.3

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.

2024 AAALas Vegas Aviators · 436 PAwOBA .381 → .335 (−46)K% 17.9% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.89%	÷1.022	×1.200	—	—	21.01%
BB% (unintentional) /PA	7.80%	÷0.952	×0.690	—	×1.048	5.92%
HBP% /PA	1.15%	—	×0.940	—	×1.048	1.13%
Singles /BIP	23.34%	÷0.974	×0.930	×1.050	×1.048	24.52%
Doubles /BIP	6.94%	÷1.088	×0.830	×1.050	×1.048	5.83%
Triples /BIP	0.32%	÷1.150	×0.970	×1.050	×1.048	0.29%
Home runs /BIP	6.94%	÷1.001	×0.700	—	×1.048	5.09%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 95, 2B 118, 3B 130, K 104, BB 90 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .381 → .335; ISO .228 → .172; BABIP .327 → .321. 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).

2023 AAALas Vegas Aviators · 169 PAwOBA .363 → .319 (−45)K% 17.8% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.75%	÷1.017	×1.200	—	—	20.94%
BB% (unintentional) /PA	5.33%	÷1.055	×0.690	—	×1.050	3.66%
HBP% /PA	0.59%	—	×0.940	—	×1.050	0.58%
Singles /BIP	23.02%	÷0.993	×0.930	×1.041	×1.050	23.56%
Doubles /BIP	10.32%	÷1.124	×0.830	×1.041	×1.050	8.33%
Triples /BIP	0.00%	÷1.133	×0.970	×1.041	×1.050	0.00%
Home runs /BIP	4.76%	÷0.996	×0.700	—	×1.050	3.52%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 99, 2B 125, 3B 127, K 103, BB 111 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .363 → .319; ISO .199 → .153; BABIP .347 → .328. 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).

2022 AAMidland RockHounds · 407 PAwOBA .373 → .344 (−29)K% 15.0% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.99%	÷0.995	×1.220	—	—	18.37%
BB% (unintentional) /PA	5.41%	÷0.968	×0.700	—	×1.042	4.08%
HBP% /PA	0.98%	—	×0.870	—	×1.042	0.89%
Singles /BIP	25.16%	÷1.067	×0.920	×1.050	×1.042	23.73%
Doubles /BIP	8.18%	÷1.007	×0.840	×1.050	×1.042	7.46%
Triples /BIP	0.00%	÷0.931	×0.940	×1.050	×1.042	0.00%
Home runs /BIP	4.72%	÷0.793	×0.800	—	×1.042	4.96%

Factors used: league row TL. Park (home-season share, regressed): HR 59, 1B 113, 2B 101, 3B 86, K 99, BB 94 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .373 → .344; ISO .187 → .184; BABIP .348 → .326. 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).

2022 AAALas Vegas Aviators · 120 PAwOBA .397 → .361 (−37)K% 12.5% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.009	×1.200	—	—	14.86%
BB% (unintentional) /PA	5.00%	÷0.992	×0.690	—	×1.050	3.65%
HBP% /PA	0.83%	—	×0.940	—	×1.050	0.82%
Singles /BIP	26.80%	÷0.995	×0.930	×1.050	×1.050	27.61%
Doubles /BIP	8.25%	÷1.088	×0.830	×1.050	×1.050	6.94%
Triples /BIP	1.03%	÷0.900	×0.970	×1.050	×1.050	1.22%
Home runs /BIP	4.12%	÷1.075	×0.700	—	×1.050	2.82%

Factors used: league row International League. Park (home-season share, regressed): HR 115, 1B 99, 2B 118, 3B 80, K 102, BB 98 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .397 → .361; ISO .196 → .154; BABIP .372 → .364. 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).

2021 A+Lansing Lugnuts · 365 PAwOBA .353 → .312 (−41)K% 15.9% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.89%	÷0.998	×1.350	—	—	21.50%
BB% (unintentional) /PA	6.85%	÷0.938	×0.710	—	×1.027	5.33%
HBP% /PA	0.55%	—	×0.810	—	×1.027	0.46%
Singles /BIP	21.09%	÷0.961	×0.910	×1.047	×1.027	21.46%
Doubles /BIP	8.73%	÷1.066	×0.830	×1.047	×1.027	7.30%
Triples /BIP	0.36%	÷1.150	×0.820	×1.047	×1.027	0.28%
Home runs /BIP	4.73%	÷0.959	×0.830	—	×1.027	4.20%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 92, 2B 113, 3B 130, K 100, BB 88 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.047.

Result: wOBA .353 → .312; ISO .195 → .163; BABIP .311 → .297. 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 ROKAZL Athletics · 186 PAwOBA .341 → .261 (−79)K% 11.8% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.83%	÷1.000	×1.440	—	—	17.03%
BB% (unintentional) /PA	10.22%	÷1.000	×0.620	—	×1.022	6.48%
HBP% /PA	3.23%	—	×0.720	—	×1.022	2.37%
Singles /BIP	21.90%	÷1.000	×0.820	×1.007	×1.022	18.48%
Doubles /BIP	8.03%	÷1.000	×0.720	×1.007	×1.022	5.95%
Triples /BIP	1.46%	÷1.000	×0.720	×1.007	×1.022	1.08%
Home runs /BIP	0.73%	÷1.000	×0.780	—	×1.022	0.58%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .341 → .261; ISO .113 → .085; BABIP .312 → .253. 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).

2017 DSLDSL Athletics · 177 PAwOBA .255 → .174 (−81)K% 14.7% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.69%	÷1.000	×1.220	—	—	17.92%
BB% (unintentional) /PA	3.39%	÷1.000	×0.700	—	×1.022	2.43%
HBP% /PA	1.69%	—	×0.700	—	×1.022	1.21%
Singles /BIP	23.91%	÷1.000	×0.680	×0.995	×1.022	16.54%
Doubles /BIP	5.07%	÷1.000	×0.600	×0.995	×1.022	3.10%
Triples /BIP	0.00%	÷1.000	×0.600	×0.995	×1.022	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .255 → .174; ISO .043 → .026; BABIP .282 → .191. 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 — .