Sergio Alcántara

Sergio AlcántaraSS Lehigh Valley IronPigs

Age 30 S/R 5'10" / 177 lbs AAA HR +11%H +4% Svc 6.000 · Ctrl thru 2026 peak 1.2 · 2026

wRC+†90

AVG/OBP/SLG.214 / .300 / .317

PA350

HR5

SB8

K%26

BB%11

MLB%10%

Scouting · now → future

HIT

50→50

PWR

35→35

SPD

45→45

EYE

62↘60

trajectory · 10 yrs

0.9peak

2027

Contract

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

Status FA

MLB Debut 2020

Service 6.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$5M	+1.2	$10M	+$5M
Totals		$5M		$10M	+$5M

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
2013	17	ROK	ACL D-backs	218	186	36	4	3	0	27	52	1	3	2	.194	.299	.247	.546	.054	.265	24	12	.252	51	-12	-0	+0	+2	+6	-0.4
2014	18	ROK	Missoula Osprey	320	285	54	8	0	1	29	89	1	8	4	.189	.267	.228	.495	.039	.270	28	9	.225	30	-25	+0	+0	+3	+9	-1.3
2015	19	A	Kane County Cougars	79	72	7	1	0	0	3	22	1	1	0	.097	.145	.111	.256	.014	.137	28	4	.118	-51	-14	+0	+0	+1	+2	-1.0
2016	20	A	4 teams	380	346	86	10	2	1	22	56	1	6	4	.249	.295	.298	.593	.049	.290	15	6	.263	60	-17	-0	+0	+4	+11	-0.3
2017	21	A+	2 teams	647	597	142	25	3	2	39	142	1	16	13	.238	.286	.300	.586	.062	.308	22	6	.254	53	-35	-2	+0	+7	+18	-1.2
2018	22	AA	2 teams	597	548	137	19	4	1	35	147	1	9	5	.250	.296	.305	.601	.055	.338	25	6	.264	60	-27	-0	+0	+6	+17	-0.4
2019	23	AA	2 teams	394	355	76	8	0	1	33	95	2	8	6	.214	.285	.245	.530	.031	.287	24	8	.244	45	-25	-1	+0	+4	+11	-1.0
2020	24	INTL	2 teams	105	92	15	0	5	5	9	18	2	2	0	.163	.252	.435	.687	.272	.143	17	9	.259	56	-5	+0	-1	+0	+3	-0.3
2021	25	MLB	3 teams	444	384	83	11	4	9	54	125	2	6	1	.216	.316	.336	.652	.120	.292	28	12	.290	80	-10	+1	+8	+5	+13	1.6
2022	26	MLB	2 teams	338	311	69	11	2	10	18	86	1	1	4	.222	.267	.367	.633	.145	.268	25	5	.271	65	-13	-1	-0	+1	+10	-0.4
2023	27	AAA	2 teams	482	426	88	15	1	7	46	151	1	0	0	.207	.285	.296	.581	.089	.297	31	10	.265	61	-21	+0	+0	+5	+14	-0.2
2024	28	AAA	2 teams	667	583	120	22	7	7	74	166	2	9	2	.206	.297	.304	.601	.098	.271	25	11	.273	67	-25	+1	+0	+7	+19	0.2
2025	29	AAA	2 teams	518	453	94	19	3	2	57	130	2	5	4	.208	.299	.276	.575	.068	.284	25	11	.263	59	-24	-1	-1	+2	+15	-0.9
▸ 2026 Season (actual · ROS · total)
2026	30	AAA	Lehigh Valley IronPigs	85	70	16	5	0	2	15	17	0	4	1	.229	.365	.386	.750	.157	.275	20	18	.330	111	+1	+0	+0	+1	+2	0.5
ROS	30	MLB	PHI	265	231	50	10	2	4	31	66	1	4	1	.216	.312	.329	.641	.113	.284	25	12	.293	83	-5	+0	+2	+3	+8	0.8
TOT	30	MLB	PHI	350	301	66	15	2	6	46	83	1	8	2	.219	.325	.342	.667	.123	.282	24	13	.302	90	-4	+1	+2	+4	+10	1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 20%	PHI	365	313	69	15	2	5	48	80	1	4	1	.220	.326	.329	.655	.109	.276	22	13	.302	89	-4	+0	-0	+4	+10	1.0
2028	32	MLB 33%	PHI	346	296	65	14	2	5	46	78	1	3	1	.220	.327	.331	.658	.111	.274	23	13	.297	85	-6	+0	-1	+4	+10	0.7
2029	33	MLB 43%	PHI	316	270	58	12	2	4	42	73	1	1	0	.215	.323	.319	.641	.104	.271	23	13	.291	81	-7	+0	-2	+3	+9	0.4
2030	34	MLB 52%	PHI	272	233	48	10	1	3	36	65	1	0	0	.206	.315	.296	.611	.090	.269	24	13	.284	75	-8	+0	-3	+3	+8	0.0
2031	35	MLB 64%	PHI	221	190	38	8	1	2	29	55	0	0	0	.200	.306	.284	.590	.084	.266	25	13	.276	69	-8	+0	-4	+2	+6	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			6974	6171	1335	222	44	69	678	1696	23	86	48	.216	.296	.300	.596	.084	.284	24	10	.268	63	-290	-2	-3	+68	+198	-3.0
/ 162G	—			650	575	124	21	4	6	63	158	2	8	4	.216	.295	.297	.592	.082	.284	24	10	.268	63	-27	+0	-0	+6	+18	-0.3

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
2013	17	ROK	ACL D-backs	218	169	41	5	4	0	44	36	1	3	2	.243	.402	.320	.721	.077	.304	17	20	.336	115	+4	-0	—	—	+6	1.0
2014	18	ROK	Missoula Osprey	320	266	65	11	0	1	48	62	1	8	4	.244	.362	.297	.659	.053	.314	19	15	.307	93	-2	+0	—	—	+9	0.7
2015	19	A	Kane County Cougars	79	71	8	1	0	0	4	17	1	1	0	.113	.171	.127	.298	.014	.145	22	5	.141	-34	-12	+0	—	—	+2	-1.0
2016	20	A+	Visalia Rawhide	19	15	4	1	0	0	3	2	1	0	1	.267	.421	.333	.754	.067	.308	11	16	.359	133	+1	-0	—	—	+1	0.1
2016	20	A	Kane County Cougars	201	180	48	6	1	1	14	26	0	3	2	.267	.320	.328	.647	.061	.299	13	7	.285	77	-5	-0	—	—	+6	0.0
2016	20	ROK	ACL D-backs	35	29	10	1	1	0	4	2	0	2	0	.345	.424	.448	.873	.103	.370	6	11	.369	141	+2	+0	—	—	+1	0.3
2016	20	INTL	Dominican Republic	125	105	24	1	1	0	18	18	0	1	1	.229	.341	.257	.599	.029	.276	14	14	.283	75	-4	-0	—	—	+4	-0.0
2017	21	A+	Lakeland Flying Tigers	521	466	124	19	3	3	48	80	0	15	13	.266	.335	.339	.674	.073	.315	15	9	.304	91	-5	-2	—	—	+15	0.7
2017	21	INTL	Tigres del Licey	126	106	27	2	0	0	16	15	1	1	0	.255	.358	.274	.631	.019	.297	12	13	.294	83	-2	+0	—	—	+4	0.1
2018	22	AA	Erie SeaWolves	494	442	120	18	3	1	42	95	1	8	5	.271	.336	.333	.669	.061	.342	19	9	.301	89	-6	-0	—	—	+14	0.7
2018	22	INTL	Tigres del Licey	103	89	19	5	0	0	10	13	0	1	0	.213	.293	.270	.563	.056	.250	13	10	.253	52	-6	+0	—	—	+3	-0.3
2019	23	AA	Erie SeaWolves	378	324	80	10	0	2	48	71	2	7	6	.247	.348	.296	.644	.049	.308	19	13	.300	88	-5	-1	—	—	+11	0.5
2019	23	INTL	Tigres del Licey	16	14	4	1	0	0	2	3	0	1	0	.286	.375	.357	.732	.071	.364	19	12	.337	116	+0	+0	—	—	+0	0.1
2020	24	MLB	Detroit Tigers	23	21	3	0	1	1	2	4	0	0	0	.143	.217	.381	.598	.238	.125	17	9	.261	58	-1	+0	-1	+0	+1	-0.1
2020	24	INTL	Tigres del Licey	82	70	18	2	1	2	8	21	2	2	0	.257	.350	.400	.750	.143	.333	26	10	.331	112	+1	+0	—	—	+2	0.4
2021	25	MLB	Chicago Cubs	255	220	45	6	3	5	30	74	2	3	0	.205	.306	.327	.633	.123	.280	29	12	.288	78	-6	+1	+8	+5	+7	1.4
2021	25	AAA	Iowa Cubs	103	82	25	3	0	3	21	23	0	3	0	.305	.447	.451	.898	.146	.393	22	20	.407	170	+8	+1	—	—	+3	1.2
2021	25	INTL	Tigres del Licey	86	69	20	4	1	1	16	12	0	0	1	.290	.424	.420	.844	.130	.333	14	19	.380	149	+5	-0	—	—	+2	0.7
2022	26	MLB	Arizona Diamondbacks	224	205	45	8	1	6	12	57	1	1	2	.220	.266	.356	.622	.137	.267	25	5	.271	65	-9	-1	-0	+1	+6	-0.2
2022	26	INTL	Tigres del Licey	114	100	21	4	1	2	12	32	0	0	2	.210	.295	.330	.625	.120	.284	28	11	.280	73	-4	-1	—	—	+3	-0.1
2023	27	AAA	Reno Aces	403	336	90	17	2	8	59	94	1	0	0	.268	.379	.402	.781	.134	.343	23	15	.349	125	+11	+0	—	—	+11	2.3
2023	27	INTL	Dominican Republic	79	66	9	1	1	0	11	17	0	0	0	.136	.260	.182	.442	.045	.184	22	14	.214	22	-7	+0	—	—	+2	-0.5
2024	28	AAA	Reno Aces	492	409	111	21	7	8	78	91	2	8	1	.271	.391	.416	.806	.144	.329	18	16	.363	136	+20	+1	—	—	+14	3.6
2024	28	INTL	Tigres del Licey	175	144	40	10	1	3	26	27	0	1	1	.278	.388	.424	.812	.146	.314	15	15	.356	131	+6	-0	—	—	+5	1.1
2025	29	AAA	Reno Aces	441	367	92	21	3	2	67	87	2	4	4	.251	.369	.341	.710	.090	.321	20	15	.326	108	+4	-1	—	—	+12	1.6
2025	29	INTL	Tigres del Licey	77	63	9	1	1	0	13	20	0	1	0	.143	.289	.190	.480	.048	.205	26	17	.238	40	-5	+0	—	—	+2	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			502	446	93	14	5	12	44	135	3	4	2	.209	.284	.343	.627	.135	.266	27	9	.279	72	-16	+0	+6	+6	+14	1.1

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
Sergio Alcántara (OGILVIE)	30	50	35	45	60	.214/.300/.317	.103	.287	5	4	26%	11%	76	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ruben Gotay 2013 · AAA	30	47→49	42→45	46→50	51	.229/.303/.329	.100	.291	10	7	24%	9%	79	+0.3	.226/.287/.343	.117	.283	13	9	24%	8%	76	+0.0	.220/.280/.336	.117	.272	14	8	24%	8%	69	-0.4
✕Andrew Knapp 2022 · MLB	30	44→54	43→45	47→40	48	.211/.297/.321	.110	.304	11	4	32%	10%	75	-0.0	.204/.274/.333	.129	.284	15	4	32%	8%	69	-0.4	.202/.273/.325	.124	.279	14	2	31%	8%	63	-0.5
✕Manuel Bobadilla 2014 · AAA	30	47	42→45	41→45	46	.228/.305/.333	.105	.297	10	7	25%	8%	82	+0.5	.217/.279/.326	.109	.281	11	6	26%	6%	69	-0.4	.192/.248/.279	.087	.239	11	0	24%	5%	43	-0.6
✕Jamie Ritchie 2023 · AAA	30	51→53	39→40	44→45	52	.239/.316/.325	.087	.298	6	4	21%	9%	83	+0.6	.224/.304/.304	.080	.290	6	8	23%	10%	73	-0.1	.207/.304/.244	.037	.274	3	5	23%	12%	56	-0.5
✕Drew Niles 2006 · AAA	29	50→52	40	46→45	48	.237/.306/.330	.093	.319	7	8	26%	9%	80	+0.4	.224/.284/.311	.087	.309	7	8	27%	7%	66	-0.6	.203/.255/.253	.051	.285	3	3	28%	6%	37	-0.8
✕Doug Bernier 2010 · AAA	30	44→54	39→40	45	48	.210/.292/.296	.086	.287	6	5	27%	9%	66	-0.6	.205/.270/.280	.075	.288	4	8	28%	7%	52	-1.6	.241/.298/.319	.078	.307	5	6	22%	6%	70	-0.2
✕Alejandro Gonzalez 2016 · AAA	30	48→50	43→45	43→50	44	.235/.303/.345	.109	.302	11	6	25%	6%	83	+0.6	.234/.286/.331	.097	.327	8	6	29%	5%	72	-0.2	.237/.296/.341	.104	.325	7	12	27%	6%	77	+0.1
✕Andy González 2012 · AAA	30	48→52	42→40	48→50	49	.232/.302/.334	.102	.293	10	7	24%	9%	79	+0.3	.217/.290/.331	.114	.264	11	6	21%	9%	74	-0.1	.201/.280/.314	.113	.240	12	4	21%	9%	65	-0.6
✕Danny Muno 2018 · MLB	29	48→51	41→45	44→50	49	.225/.302/.325	.100	.307	7	12	27%	9%	77	+0.1	.211/.288/.310	.099	.311	8	10	31%	9%	68	-0.5	.172/.258/.234	.062	.265	2	2	33%	10%	33	-1.2
✕Omar Mendoza 2013 · AAA	30	49→54	44→45	44→45	48	.239/.296/.348	.109	.285	12	9	20%	7%	81	+0.4	.238/.284/.322	.084	.303	8	6	23%	6%	68	-0.5	.243/.288/.307	.064	.311	5	2	22%	6%	62	-0.5
✕Erick Almonte 2008 · AAA	30	52→48	41→40	46→45	52	.249/.320/.348	.099	.312	8	10	22%	10%	90	+1.0	.244/.304/.345	.101	.306	8	7	21%	8%	83	+0.6	.250/.305/.339	.089	.316	6	5	22%	7%	77	+0.1
✕Wilmer Difo 2022 · MLB	30	50→54	41→45	48→55	48	.239/.300/.336	.096	.306	9	9	24%	8%	79	+0.3	.224/.281/.327	.103	.277	10	14	22%	7%	69	-0.4	.213/.276/.307	.095	.267	10	19	23%	7%	60	-0.6
✕Yolmer Sánchez 2022 · MLB	30	45→55	42→50	46→50	46	.218/.287/.321	.102	.286	9	8	26%	8%	70	-0.3	.206/.294/.319	.113	.275	12	8	27%	10%	74	-0.1	.198/.297/.308	.110	.263	10	7	26%	11%	70	-0.2
✕Ramiro Pena 2015 · MLB	30	49→56	42→45	41→50	46	.237/.291/.338	.101	.291	9	5	22%	7%	76	+0.0	.248/.290/.348	.100	.288	8	5	16%	5%	78	+0.2	.263/.298/.371	.108	.295	10	5	14%	4%	85	+0.5
✕Andy Parrino 2016 · MLB	30	44→51	40→45	47→45	42	.210/.270/.297	.087	.296	7	5	30%	7%	56	-1.3	.213/.262/.305	.092	.307	8	8	31%	6%	55	-1.4	.180/.220/.236	.056	.270	3	5	33%	5%	15	-1.3
●Quinton McCracken 2002 · MLB	31	46→56	43→40	44→50	54	.223/.297/.336	.113	.261	9	8	18%	9%	78	+0.2	.259/.318/.373	.114	.309	6	9	17%	8%	95	+1.4	.267/.324/.373	.106	.316	4	9	16%	8%	94	+0.6
✕Wilson Delgado 2002 · MLB	30	48	41→45	48→40	50	.234/.300/.329	.095	.289	10	10	22%	8%	77	+0.1	.237/.301/.350	.113	.283	12	7	20%	8%	83	+0.6	.245/.299/.333	.088	.293	6	3	17%	7%	72	-0.1
✕Jason Jaramillo 2012 · MLB	29	48→53	40→45	46→40	48	.230/.288/.323	.093	.276	7	5	19%	7%	71	-0.3	.210/.265/.292	.082	.267	6	5	22%	6%	53	-1.5	.190/.245/.257	.067	.245	4	2	23%	6%	32	-1.4
✕Andrew Beattie 2007 · AAA	29	47→50	44→45	47→50	48	.231/.295/.352	.121	.295	11	10	25%	8%	81	+0.4	.230/.288/.360	.130	.294	14	11	26%	7%	80	+0.4	.229/.286/.359	.129	.291	15	12	26%	7%	77	+0.1
✕Vimael Machín 2023 · MLB	29	49→55	41→45	46→45	51	.236/.304/.341	.105	.282	8	3	19%	8%	82	+0.5	.236/.296/.351	.115	.282	11	7	20%	7%	81	+0.4	.237/.287/.374	.136	.281	16	11	21%	6%	82	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)