Isaac Rodriguez

Pos2B

B/TR/R

Born1991-03-03

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	33	INTLCaneros de lo…	295	.280/.420/.331	1	6	125	—
2025	34	INTLCaneros de lo…	295	.202/.340/.223	0	14	67	—
2026	35	INTLCaneros de lo…	50	.220/.333/.220	0	1	64	—

Contract

No contract data on file.

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	AAA	Toros de Tijuana	—	24	22	6	2	0	0	2	3	0	0	0	273	333	364	697	91	316	12	8	316	71	—	—	—	—	—	—
2016	25	AAA	Toros de Tijuana	—	312	280	86	15	1	2	21	38	5	8	5	307	366	389	755	82	349	12	7	336	105	—	—	—	—	—	—
2016	25	INTL	Mexico	—	306	268	83	14	0	4	31	33	3	8	8	310	387	407	794	97	341	11	10	356	127	—	—	—	—	—	—
2017	26	AAA	Toros de Tijuana	—	323	280	76	10	1	3	28	40	5	14	4	271	348	346	695	75	304	12	9	310	78	—	—	—	—	—	—
2017	26	INTL	Caneros de los Mochis	—	244	220	55	6	2	1	15	33	2	7	4	250	304	309	613	59	289	14	6	273	71	—	—	—	—	—	—
2018	27	INTL	Caneros de los Mochis	—	292	245	78	11	2	1	37	32	2	9	6	318	412	392	804	73	360	11	13	358	129	—	—	—	—	—	—
2019	28	AAA	Toros de Tijuana	—	505	437	138	24	1	8	45	69	11	23	7	316	394	430	824	114	355	14	9	364	92	—	—	—	—	—	—
2019	28	INTL	Caneros de los Mochis	—	301	256	87	9	0	4	30	38	3	12	5	340	415	422	837	82	386	13	10	365	133	—	—	—	—	—	—
2020	29	INTL	Caneros de los Mochis	—	228	199	58	4	0	5	21	29	5	10	5	291	373	387	760	95	321	13	9	343	118	—	—	—	—	—	—
2021	30	INTL	Mexico	—	309	281	80	16	1	1	18	32	4	14	7	285	337	359	696	75	317	10	6	310	96	—	—	—	—	—	—
2022	31	INTL	Caneros de los Mochis	—	301	263	74	15	3	3	28	40	4	10	5	281	359	395	755	114	321	13	9	335	113	—	—	—	—	—	—
2023	32	INTL	Caneros de los Mochis	—	275	224	61	8	1	1	38	32	4	14	0	272	387	330	718	58	309	12	14	326	107	—	—	—	—	—	—
2024	33	INTL	Caneros de los Mochis	—	295	236	66	7	1	1	51	34	6	6	4	280	420	331	750	51	322	12	17	353	125	—	—	—	—	—	—
2025	34	INTL	Caneros de los Mochis	—	295	233	47	5	0	0	41	48	8	14	4	202	340	223	564	21	251	16	14	268	67	—	—	—	—	—	—
2026	35	INTL	Caneros de los Mochis	—	50	41	9	0	0	0	5	9	2	1	0	220	333	220	553		281	18	10	262	64	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	24	AAA MLE	Toros de Tijuana	—	24	23	6	2	0	0	1	4	0	0	0	261	292	348	639	87	298	17	4	273	71	—	—	—	—	—	—
2016	25	AAA MLE	Toros de Tijuana	—	312	288	90	15	1	1	13	43	5	8	5	312	353	382	735	69	358	14	4	324	105	—	—	—	—	—	—
2017	26	AAA MLE	Toros de Tijuana	—	323	289	77	9	1	3	19	48	5	14	4	266	323	336	658	69	294	15	6	283	78	—	—	—	—	—	—
2019	28	AAA MLE	Toros de Tijuana	—	505	452	125	19	1	6	30	75	11	23	7	277	337	363	700	86	303	15	6	304	92	—	—	—	—	—	—
2015	24	AAA MLE	Toros de Tijuana	—	24	23	6	2	0	0	1	4	0	0	0	261	292	348	639	87	316	17	4	273	71	—	—	—	—	—	—
2015	24	AAA RAW	Toros de Tijuana	—	24	22	6	2	0	0	2	3	0	0	0	273	333	364	697	91	316	12	8	316	71	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	618	573	180	30	2	2	27	85	8	16	13	314	354	384	738	70	365	14	4	324	105	—	—	—	—	—	—
2016	25	AAA RAW	2 teams	—	618	548	169	29	1	6	52	71	8	16	13	308	377	398	774	89	345	11	8	346	105	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	567	510	134	16	2	4	33	84	7	21	8	263	316	325	642	63	305	15	6	283	78	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	567	500	131	16	3	4	43	73	7	21	8	262	329	330	659	68	297	13	8	294	78	—	—	—	—	—	—
2018	27	INTL MLE	Caneros de los Mochis	—	292	245	78	11	2	1	37	32	2	9	6	318	412	392	804	73	360	11	13	—	—	—	—	—	—	—	—
2018	27	INTL RAW	Caneros de los Mochis	—	292	245	78	11	2	1	37	32	2	9	6	318	412	392	804	73	360	11	13	358	129	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	806	720	197	30	1	9	48	119	14	35	12	274	331	356	687	82	314	15	6	304	92	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	806	693	225	33	1	12	75	107	14	35	12	325	402	427	829	102	367	13	9	364	92	—	—	—	—	—	—
2020	29	INTL MLE	Caneros de los Mochis	—	228	199	58	4	0	5	21	29	5	10	5	291	373	387	760	95	321	13	9	—	—	—	—	—	—	—	—
2020	29	INTL RAW	Caneros de los Mochis	—	228	199	58	4	0	5	21	29	5	10	5	291	373	387	760	95	321	13	9	343	118	—	—	—	—	—	—
2021	30	INTL MLE	Mexico	—	309	281	80	16	1	1	18	32	4	14	7	285	337	359	696	75	317	10	6	—	—	—	—	—	—	—	—
2021	30	INTL RAW	Mexico	—	309	281	80	16	1	1	18	32	4	14	7	285	337	359	696	75	317	10	6	310	96	—	—	—	—	—	—
2022	31	INTL MLE	Caneros de los Mochis	—	301	263	74	15	3	3	28	40	4	10	5	281	359	395	755	114	321	13	9	—	—	—	—	—	—	—	—
2022	31	INTL RAW	Caneros de los Mochis	—	301	263	74	15	3	3	28	40	4	10	5	281	359	395	755	114	321	13	9	335	113	—	—	—	—	—	—
2023	32	INTL MLE	Caneros de los Mochis	—	275	224	61	8	1	1	38	32	4	14	0	272	387	330	718	58	309	12	14	—	—	—	—	—	—	—	—
2023	32	INTL RAW	Caneros de los Mochis	—	275	224	61	8	1	1	38	32	4	14	0	272	387	330	718	58	309	12	14	326	107	—	—	—	—	—	—
2024	33	INTL MLE	Caneros de los Mochis	—	295	236	66	7	1	1	51	34	6	6	4	280	420	331	750	51	322	12	17	—	—	—	—	—	—	—	—
2024	33	INTL RAW	Caneros de los Mochis	—	295	236	66	7	1	1	51	34	6	6	4	280	420	331	750	51	322	12	17	353	125	—	—	—	—	—	—
2025	34	INTL MLE	Caneros de los Mochis	—	295	233	47	5	0	0	41	48	8	14	4	202	340	223	564	21	251	16	14	—	—	—	—	—	—	—	—
2025	34	INTL RAW	Caneros de los Mochis	—	295	233	47	5	0	0	41	48	8	14	4	202	340	223	564	21	251	16	14	268	67	—	—	—	—	—	—
2026	35	INTL MLE	Caneros de los Mochis	—	50	41	9	0	0	0	5	9	2	1	0	220	333	220	553		281	18	10	—	—	—	—	—	—	—	—
2026	35	INTL RAW	Caneros de los Mochis	—	50	41	9	0	0	0	5	9	2	1	0	220	333	220	553		281	18	10	262	64	—	—	—	—	—	—
2015	24	AAA MLE	Toros de Tijuana	—	24	23	6	2	0	0	1	4	0	0	0	261	292	348	639	87	298	17	4	273	71	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	618	578	180	30	2	2	27	85	8	16	13	311	354	381	734	69	358	14	4	324	105	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	567	522	134	16	2	4	33	84	7	21	8	257	316	318	634	61	294	15	6	283	78	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	806	738	197	30	1	9	48	119	14	35	12	267	331	347	678	80	303	15	6	304	92	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4060	3548	990	144	13	27	348	548	64	150	64	279	354	350	704	71	321	13	9	151	-12	-540	+4	+0	+14	+88	-44.2
/ 162G	—	MLE		—	650	568	158	23	2	4	56	88	10	24	10	278	353	347	700	69	321	14	9	151	-12	-86	+1	+0	+2	+14	-7.1

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.

2019 AAAToros de Tijuana · 505 PAwOBA .358 → .304 (−54)K% 13.7% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.66%	÷1.111	×1.200	—	—	14.75%
BB% (unintentional) /PA	8.71%	÷1.007	×0.690	—	×0.992	5.92%
HBP% /PA	2.18%	—	×0.940	—	×0.992	2.03%
Singles /BIP	28.53%	÷0.989	×0.930	×0.950	×0.992	25.28%
Doubles /BIP	6.52%	÷1.051	×0.830	×0.950	×0.992	4.85%
Triples /BIP	0.27%	÷0.993	×0.920	×0.950	×0.992	0.24%
Home runs /BIP	2.17%	÷1.023	×0.700	—	×0.992	1.48%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 98, 2B 110, 3B 99, K 122, BB 101 — 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 ×0.950.

Result: wOBA .358 → .304; ISO .114 → .087; BABIP .355 → .303. 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 AAAToros de Tijuana · 323 PAwOBA .305 → .283 (−22)K% 12.4% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.38%	÷0.999	×1.200	—	—	14.88%
BB% (unintentional) /PA	8.67%	÷1.033	×0.690	—	×1.018	5.89%
HBP% /PA	1.55%	—	×0.940	—	×1.018	1.48%
Singles /BIP	25.83%	÷0.988	×0.930	×1.029	×1.018	25.48%
Doubles /BIP	4.17%	÷1.007	×0.830	×1.029	×1.018	3.60%
Triples /BIP	0.42%	÷1.150	×0.920	×1.029	×1.018	0.35%
Home runs /BIP	1.25%	÷0.892	×0.700	—	×1.018	1.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 98, 2B 101, 3B 130, K 100, BB 107 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .305 → .283; ISO .075 → .065; BABIP .304 → .294. 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).

2016 AAAToros de Tijuana · 312 PAwOBA .327 → .324 (−4)K% 12.2% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.18%	÷1.062	×1.200	—	—	13.77%
BB% (unintentional) /PA	6.41%	÷1.055	×0.690	—	×1.033	4.33%
HBP% /PA	1.60%	—	×0.940	—	×1.033	1.56%
Singles /BIP	28.10%	÷0.967	×0.930	×1.050	×1.033	29.31%
Doubles /BIP	6.20%	÷0.926	×0.830	×1.050	×1.033	6.02%
Triples /BIP	0.41%	÷0.941	×0.920	×1.050	×1.033	0.44%
Home runs /BIP	0.83%	÷1.278	×0.700	—	×1.033	0.47%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 93, 2B 85, 3B 88, K 112, BB 111 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .327 → .324; ISO .082 → .074; BABIP .349 → .358. 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 AAAToros de Tijuana · 24 PAwOBA .291 → .273 (−18)K% 12.5% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷0.978	×1.200	—	—	15.34%
BB% (unintentional) /PA	4.17%	÷1.013	×0.690	—	×1.048	2.97%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	21.05%	÷0.982	×0.930	—	×1.048	20.88%
Doubles /BIP	10.53%	÷1.026	×0.830	—	×1.048	8.93%
Triples /BIP	0.00%	÷1.046	×0.920	—	×1.048	0.00%
Home runs /BIP	0.00%	÷1.208	×0.700	—	×1.048	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 142, 1B 96, 2B 105, 3B 109, K 96, BB 103 — 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).

Result: wOBA .291 → .273; ISO .091 → .080; BABIP .316 → .298. 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 — .