Jose Sermo

Pos2B

B/TS/R

Born1991-03-22

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	wRC+	WAR
2023	32	INTLGigantes de C…	45	.143/.200/.357	3	52	—
2024	33	INTLGigantes de C…	42	.111/.238/.194	1	31	—
2025	34	INTLSenadores de …	28	.160/.222/.240	0	26	—

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)
2012	21	ROK	AZL Brewers	—	197	183	52	7	4	4	11	41	3	6	4	284	335	432	767	148	348	21	6	341	48	—	—	—	—	—	—
2013	22	A	Wisconsin Timber Rattlers	—	129	117	21	4	2	2	8	38	1	5	3	179	238	299	537	120	241	29	6	237	9	—	—	—	—	—	—
2013	22	ROK	AZL Brewers	—	47	43	16	3	1	1	4	9	0	4	4	372	426	558	984	186	455	19	9	432	84	—	—	—	—	—	—
2014	23	A+	Brevard County Manatees	—	110	95	21	2	0	2	9	31	0	1	1	221	288	305	594	84	302	28	8	258	27	—	—	—	—	—	—
2016	25	A+	Salem Red Sox	—	236	212	62	17	2	8	18	59	1	10	2	292	351	505	855	212	360	25	8	367	78	—	—	—	—	—	—
2017	26	A+	Salem Red Sox	—	431	384	96	35	0	14	40	145	2	8	0	250	324	451	774	201	360	34	9	339	40	—	—	—	—	—	—
2018	27	INTL	Caneros de los Mochis	—	34	28	5	2	0	0	5	12	1	0	0	179	324	250	574	71	312	35	15	280	75	—	—	—	—	—	—
2019	28	INTL	Puerto Rico	—	124	109	35	10	0	5	13	27	1	1	1	321	398	550	949	229	385	22	10	412	165	—	—	—	—	—	—
2020	29	INTL	Atenienses de Manati	—	68	55	11	2	0	5	13	18	0	0	0	200	353	509	862	309	188	26	19	377	142	—	—	—	—	—	—
2021	30	INTL	Gigantes de Carolina	—	104	91	14	3	0	3	13	38	0	0	1	154	260	286	545	132	220	37	12	254	58	—	—	—	—	—	—
2022	31	INTL	Gigantes de Carolina	—	147	127	22	5	1	5	18	48	1	1	0	173	281	346	627	173	227	33	12	284	78	—	—	—	—	—	—
2023	32	INTL	Gigantes de Carolina	—	45	42	6	0	0	3	3	23	0	0	0	143	200	357	557	214	188	51	7	246	52	—	—	—	—	—	—
2024	33	INTL	Gigantes de Carolina	—	42	36	4	0	0	1	6	20	0	0	0	111	238	194	433	83	200	48	14	214	31	—	—	—	—	—	—
2025	34	INTL	Senadores de San Juan	—	28	25	4	2	0	0	2	15	0	0	0	160	222	240	462	80	364	54	7	206	26	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	ROK MLE	AZL Brewers	—	197	187	40	5	3	3	7	59	3	6	4	214	254	321	575	107	285	30	4	239	48	—	—	—	—	—	—
2013	22	A MLE	Wisconsin Timber Rattlers	—	129	120	17	3	2	1	5	53	1	5	3	142	183	225	408	83	224	41	4	182	9	—	—	—	—	—	—
2013	22	ROK MLE	AZL Brewers	—	47	45	12	2	1	1	2	13	0	4	4	267	298	422	720	156	349	28	4	292	84	—	—	—	—	—	—
2014	23	A+ MLE	Brevard County Manatees	—	110	97	18	2	0	2	7	47	0	1	1	186	240	268	508	82	287	43	6	208	27	—	—	—	—	—	—
2016	25	A+ MLE	Salem Red Sox	—	236	219	49	12	1	8	11	88	1	10	2	224	264	397	661	174	310	37	5	284	78	—	—	—	—	—	—
2017	26	A+ MLE	Salem Red Sox	—	431	405	69	24	0	10	19	215	2	8	0	170	211	304	515	133	312	50	4	228	40	—	—	—	—	—	—
2012	21	ROK MLE	AZL Brewers	—	197	187	40	5	3	3	7	59	3	6	4	214	254	321	575	107	296	30	4	239	48	—	—	—	—	—	—
2012	21	ROK RAW	AZL Brewers	—	197	183	52	7	4	4	11	41	3	6	4	284	335	432	767	148	348	21	6	341	48	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	176	164	28	5	2	2	8	66	1	9	7	171	214	262	476	91	265	38	5	211	29	—	—	—	—	—	—
2013	22	A RAW	2 teams	—	176	160	37	7	3	3	12	47	1	9	7	231	289	369	658	138	304	27	7	289	29	—	—	—	—	—	—
2014	23	A+ MLE	Brevard County Manatees	—	110	97	18	2	0	2	7	47	0	1	1	186	240	268	508	82	327	43	6	208	27	—	—	—	—	—	—
2014	23	A+ RAW	Brevard County Manatees	—	110	95	21	2	0	2	9	31	0	1	1	221	288	305	594	84	302	28	8	258	27	—	—	—	—	—	—
2016	25	A+ MLE	Salem Red Sox	—	236	219	49	12	1	8	11	88	1	10	2	224	264	397	661	174	320	37	5	284	78	—	—	—	—	—	—
2016	25	A+ RAW	Salem Red Sox	—	236	212	62	17	2	8	18	59	1	10	2	292	351	505	855	212	360	25	8	367	78	—	—	—	—	—	—
2017	26	A+ MLE	Salem Red Sox	—	431	405	69	24	0	10	19	215	2	8	0	170	211	304	515	133	322	50	4	228	40	—	—	—	—	—	—
2017	26	A+ RAW	Salem Red Sox	—	431	384	96	35	0	14	40	145	2	8	0	250	324	451	774	201	360	34	9	339	40	—	—	—	—	—	—
2018	27	INTL MLE	Caneros de los Mochis	—	34	28	5	2	0	0	5	12	1	0	0	179	324	250	574	71	312	35	15	—	—	—	—	—	—	—	—
2018	27	INTL RAW	Caneros de los Mochis	—	34	28	5	2	0	0	5	12	1	0	0	179	324	250	574	71	312	35	15	280	75	—	—	—	—	—	—
2019	28	INTL MLE	Puerto Rico	—	124	109	35	10	0	5	13	27	1	1	1	321	398	550	949	229	385	22	10	—	—	—	—	—	—	—	—
2019	28	INTL RAW	Puerto Rico	—	124	109	35	10	0	5	13	27	1	1	1	321	398	550	949	229	385	22	10	412	165	—	—	—	—	—	—
2020	29	INTL MLE	Atenienses de Manati	—	68	55	11	2	0	5	13	18	0	0	0	200	353	509	862	309	188	26	19	—	—	—	—	—	—	—	—
2020	29	INTL RAW	Atenienses de Manati	—	68	55	11	2	0	5	13	18	0	0	0	200	353	509	862	309	188	26	19	377	142	—	—	—	—	—	—
2021	30	INTL MLE	Gigantes de Carolina	—	104	91	14	3	0	3	13	38	0	0	1	154	260	286	545	132	220	37	12	—	—	—	—	—	—	—	—
2021	30	INTL RAW	Gigantes de Carolina	—	104	91	14	3	0	3	13	38	0	0	1	154	260	286	545	132	220	37	12	254	58	—	—	—	—	—	—
2022	31	INTL MLE	Gigantes de Carolina	—	147	127	22	5	1	5	18	48	1	1	0	173	281	346	627	173	227	33	12	—	—	—	—	—	—	—	—
2022	31	INTL RAW	Gigantes de Carolina	—	147	127	22	5	1	5	18	48	1	1	0	173	281	346	627	173	227	33	12	284	78	—	—	—	—	—	—
2023	32	INTL MLE	Gigantes de Carolina	—	45	42	6	0	0	3	3	23	0	0	0	143	200	357	557	214	188	51	7	—	—	—	—	—	—	—	—
2023	32	INTL RAW	Gigantes de Carolina	—	45	42	6	0	0	3	3	23	0	0	0	143	200	357	557	214	188	51	7	246	52	—	—	—	—	—	—
2024	33	INTL MLE	Gigantes de Carolina	—	42	36	4	0	0	1	6	20	0	0	0	111	238	194	433	83	200	48	14	—	—	—	—	—	—	—	—
2024	33	INTL RAW	Gigantes de Carolina	—	42	36	4	0	0	1	6	20	0	0	0	111	238	194	433	83	200	48	14	214	31	—	—	—	—	—	—
2025	34	INTL MLE	Senadores de San Juan	—	28	25	4	2	0	0	2	15	0	0	0	160	222	240	462	80	364	54	7	—	—	—	—	—	—	—	—
2025	34	INTL RAW	Senadores de San Juan	—	28	25	4	2	0	0	2	15	0	0	0	160	222	240	462	80	364	54	7	206	26	—	—	—	—	—	—
2012	21	ROK MLE	AZL Brewers	—	197	185	40	5	3	3	7	59	3	6	4	216	254	324	578	108	285	30	4	239	48	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	176	165	28	5	2	2	8	66	1	9	7	170	214	261	474	91	257	38	5	211	29	—	—	—	—	—	—
2014	23	A+ MLE	Brevard County Manatees	—	110	102	18	2	0	2	7	47	0	1	1	176	240	255	495	78	287	43	6	208	27	—	—	—	—	—	—
2016	25	A+ MLE	Salem Red Sox	—	236	222	49	12	1	8	11	88	1	10	2	221	264	392	656	171	310	37	5	284	78	—	—	—	—	—	—
2017	26	A+ MLE	Salem Red Sox	—	431	407	69	24	0	10	19	215	2	8	0	170	211	302	513	133	312	50	4	228	40	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1742	1585	305	72	7	47	125	676	10	36	16	192	256	336	591	143	295	39	7	156	-8	-224	+1	+0	+6	+38	-18.3
/ 162G	—	MLE		—	650	591	115	27	3	18	47	252	4	13	6	195	259	342	600	147	298	39	7	156	-8	-84	+0	+0	+2	+14	-6.8

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.

2017 A+Salem Red Sox · 431 PAwOBA .325 → .228 (−97)K% 33.6% → 49.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.64%	÷0.958	×1.420	—	—	49.86%
BB% (unintentional) /PA	7.42%	÷1.043	×0.630	—	×0.968	4.34%
HBP% /PA	0.46%	—	×0.860	—	×0.968	0.39%
Singles /BIP	19.67%	÷1.042	×0.940	×1.028	×0.968	17.66%
Doubles /BIP	14.64%	÷0.977	×0.830	×1.028	×0.968	12.39%
Triples /BIP	0.00%	÷0.956	×0.800	×1.028	×0.968	0.00%
Home runs /BIP	5.86%	÷0.956	×0.900	—	×0.968	5.34%

Factors used: league row CAR. Park (home-season share, regressed): HR 91, 1B 108, 2B 95, 3B 91, K 92, BB 109 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .325 → .228; ISO .201 → .145; BABIP .360 → .312. 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 A+Salem Red Sox · 236 PAwOBA .365 → .284 (−81)K% 25.0% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.951	×1.420	—	—	37.33%
BB% (unintentional) /PA	7.63%	÷0.989	×0.630	—	×0.978	4.75%
HBP% /PA	0.42%	—	×0.860	—	×0.978	0.36%
Singles /BIP	22.88%	÷1.000	×0.940	×0.990	×0.978	20.80%
Doubles /BIP	11.11%	÷1.030	×0.830	×0.990	×0.978	8.66%
Triples /BIP	1.31%	÷1.150	×0.800	×0.990	×0.978	0.88%
Home runs /BIP	5.23%	÷0.787	×0.900	—	×0.978	5.85%

Factors used: league row CAR. Park (home-season share, regressed): HR 57, 1B 100, 2B 106, 3B 130, K 90, BB 98 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .365 → .284; ISO .212 → .179; BABIP .360 → .310. 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).

2014 A+Brevard County Manatees · 110 PAwOBA .254 → .208 (−45)K% 28.2% → 42.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.18%	÷0.947	×1.420	—	—	42.28%
BB% (unintentional) /PA	8.18%	÷1.029	×0.750	—	×0.998	5.95%
HBP% /PA	0.00%	—	×0.930	—	×0.998	0.00%
Singles /BIP	26.56%	÷1.024	×0.920	×1.050	×0.998	25.01%
Doubles /BIP	3.12%	÷0.937	×0.960	×1.050	×0.998	3.36%
Triples /BIP	0.00%	÷0.900	×0.810	×1.050	×0.998	0.00%
Home runs /BIP	3.12%	÷0.954	×0.880	—	×0.998	2.88%

Factors used: league row FSL. Park (home-season share, regressed): HR 91, 1B 105, 2B 87, 3B 80, K 89, BB 106 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .254 → .208; ISO .084 → .072; BABIP .302 → .287. 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).

2013 AWisconsin Timber Rattlers · 129 PAwOBA .235 → .182 (−53)K% 29.5% → 41.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.46%	÷0.973	×1.360	—	—	41.16%
BB% (unintentional) /PA	6.20%	÷1.056	×0.690	—	—	4.05%
HBP% /PA	0.78%	—	×0.780	—	—	0.60%
Singles /BIP	16.46%	÷0.991	×0.920	×1.050	—	16.04%
Doubles /BIP	5.06%	÷1.040	×0.830	×1.050	—	4.24%
Triples /BIP	2.53%	÷1.032	×0.910	×1.050	—	2.34%
Home runs /BIP	2.53%	÷1.011	×0.800	—	—	2.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 98, 2B 108, 3B 106, K 95, BB 111 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .235 → .182; ISO .120 → .089; BABIP .241 → .224. 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).

2013 ROKAZL Brewers · 47 PAwOBA .420 → .292 (−128)K% 19.1% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.15%	÷1.000	×1.440	—	—	27.57%
BB% (unintentional) /PA	8.51%	÷1.000	×0.620	—	×0.975	5.14%
HBP% /PA	0.00%	—	×0.720	—	×0.975	0.00%
Singles /BIP	32.35%	÷1.000	×0.820	—	×0.975	25.87%
Doubles /BIP	8.82%	÷1.000	×0.720	—	×0.975	6.19%
Triples /BIP	2.94%	÷1.000	×0.720	—	×0.975	2.06%
Home runs /BIP	2.94%	÷1.000	×0.780	—	×0.975	2.24%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .420 → .292; ISO .186 → .125; BABIP .455 → .349. 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).

2012 ROKAZL Brewers · 197 PAwOBA .332 → .239 (−93)K% 20.8% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.81%	÷1.000	×1.440	—	—	29.97%
BB% (unintentional) /PA	5.58%	÷1.000	×0.620	—	×0.985	3.41%
HBP% /PA	1.52%	—	×0.720	—	×0.985	1.08%
Singles /BIP	26.06%	÷1.000	×0.820	×1.050	×0.985	22.10%
Doubles /BIP	4.93%	÷1.000	×0.720	×1.050	×0.985	3.67%
Triples /BIP	2.82%	÷1.000	×0.720	×1.050	×0.985	2.10%
Home runs /BIP	2.82%	÷1.000	×0.780	—	×0.985	2.16%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .332 → .239; ISO .148 → .101; BABIP .348 → .285. 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 — .