Ali Sánchez — OGILVIE

Ali SánchezC Scranton/Wilkes-Barre RailRiders

Age 29 R/R 6'0" / 200 lbs AAA HR +8%BB +8% Svc 2.000S2 · Ctrl thru 2029 peak 0.5 · 2026

wRC+†vL -2263vR 35

AVG/OBP/SLG.187 / .240 / .285

PA250

HR5

K%25

BB%6

MLB%10%

Scouting · now → future

HIT

50→50

PWR

45→45

SPD

45→45

EYE

43↘40

trajectory · 10 yrs

-0.2peak

2027

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2024

Service 2.000 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.2M	+0.5	$2M	+$2M
2027	Arb-2	$0.4M	+0.2	$0.8M	+$0.4M
2028	Arb-3	$0.4M	+0.1	$0.4M	+$0.0M
2029	Arb-4	$0.6M	—	—	—
Totals		$1M		$3M	+$2M

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
2014	17	ROK	DSL Mets 1	209	186	43	5	0	2	16	45	4	6	6	.231	.306	.290	.596	.059	.293	22	8	.270	65	-8	-1	+0	+4	+6	0.0
2015	18	ROK	Kingsport Mets	188	179	39	4	0	0	6	40	3	2	0	.218	.255	.240	.496	.022	.281	21	3	.227	32	-14	+0	+0	+3	+5	-0.5
2017	20	A	Columbia Fireflies	200	187	38	3	0	1	8	33	2	2	3	.203	.244	.235	.479	.032	.240	16	4	.210	19	-18	-1	+0	+4	+6	-1.0
2018	21	A	3 teams	376	360	81	19	1	6	11	57	1	2	2	.225	.250	.333	.583	.108	.249	15	3	.248	48	-22	-0	+0	+7	+11	-0.5
2019	22	AA	3 teams	408	381	88	17	0	1	21	84	4	1	1	.231	.278	.283	.562	.052	.292	21	5	.252	51	-23	-0	+0	+7	+12	-0.4
2021	24	AAA	2 teams	401	381	93	12	0	5	18	87	0	0	4	.244	.278	.315	.593	.071	.302	22	4	.262	59	-19	-2	-0	+7	+11	-0.2
2022	25	AAA	2 teams	376	338	77	15	0	6	32	118	2	2	0	.228	.298	.325	.624	.098	.326	31	9	.282	74	-11	+0	+0	+7	+11	0.7
2023	26	AAA	Reno Aces	267	247	62	8	0	8	17	56	0	0	3	.251	.299	.381	.680	.130	.290	21	6	.298	86	-4	-1	+0	+5	+8	0.7
2024	27	AAA	3 teams	336	307	56	15	0	3	20	82	2	3	2	.182	.237	.261	.498	.078	.238	24	6	.225	31	-26	-0	+5	+6	+10	-0.6
2025	28	AAA	3 teams	387	359	84	14	0	7	21	111	1	1	0	.234	.278	.331	.610	.097	.313	29	5	.267	63	-16	+0	+1	+7	+11	0.3
▸ 2026 Season (actual · ROS · total)
2026	29	AAA	Scranton/Wilkes-Barre RailRiders	49	46	13	0	0	3	3	11	0	0	0	.283	.327	.478	.805	.196	.312	22	6	.333	113	+1	+0	+0	+1	+1	0.3
ROS	29	MLB	NYY	201	186	37	6	0	5	12	49	1	1	0	.199	.251	.312	.563	.113	.242	24	6	.251	50	-11	+0	+4	+4	+6	0.2
TOT	29	MLB	NYY	250	232	50	6	0	8	15	60	1	1	0	.216	.266	.345	.611	.129	.255	24	6	.267	63	-11	+0	+4	+4	+7	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB 20%	NYY	320	294	59	10	0	7	22	71	1	1	0	.201	.259	.306	.565	.105	.242	22	7	.260	57	-16	+0	+4	+6	+9	0.3
2028	31	MLB 33%	NYY	296	273	55	9	0	7	20	67	1	0	0	.201	.259	.311	.570	.110	.244	23	7	.261	58	-14	+0	+3	+5	+8	0.2
2029	32	MLB 43%	NYY	269	247	49	8	0	6	19	63	1	0	0	.198	.258	.304	.562	.105	.245	23	7	.259	56	-13	+0	+1	+5	+8	0.1
2030	33	MLB 52%	NYY	233	214	42	7	0	5	16	56	1	0	0	.196	.255	.299	.554	.103	.244	24	7	.255	53	-12	+0	+0	+4	+7	-0.1
2031	34	MLB 64%	NYY	188	172	34	6	0	4	13	47	1	0	0	.198	.258	.302	.560	.105	.242	25	7	.249	48	-11	+0	-1	+3	+5	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4655	4311	937	158	1	73	272	1066	25	21	21	.217	.268	.305	.573	.088	.270	23	6	.256	54	-240	-4	+16	+83	+132	-1.4
/ 162G	—			650	602	130	22	0	10	38	149	3	3	3	.216	.266	.302	.568	.086	.268	23	6	.256	54	-34	-1	+2	+12	+18	-0.2

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
2014	17	ROK	DSL Mets 1	209	175	53	7	0	3	27	31	4	6	6	.303	.408	.394	.802	.091	.352	15	13	.363	136	+9	-1	—	—	+6	1.4
2015	18	ROK	Kingsport Mets	188	173	47	6	0	0	12	28	3	2	0	.272	.330	.306	.636	.035	.324	15	6	.295	84	-3	+0	—	—	+5	0.2
2017	20	A	Columbia Fireflies	200	182	42	3	0	1	13	26	2	2	3	.231	.289	.264	.553	.033	.263	13	6	.254	53	-11	-1	—	—	+6	-0.6
2018	21	A+	St. Lucie Mets	142	135	37	9	0	2	5	15	0	1	1	.274	.300	.385	.685	.111	.292	11	4	.301	88	-2	-0	—	—	+4	0.2
2018	21	A	Columbia Fireflies	205	193	50	11	1	4	10	23	0	1	1	.259	.296	.389	.684	.130	.274	11	5	.302	89	-3	-0	—	—	+6	0.3
2018	21	INTL	Scottsdale Scorpions	29	25	3	1	0	0	3	5	1	0	0	.120	.241	.160	.401	.040	.150	17	10	.204	14	-3	+0	—	—	+1	-0.2
2019	22	AAA	Syracuse Mets	65	56	10	4	0	0	5	11	3	0	1	.179	.281	.250	.531	.071	.217	17	8	.250	50	-4	-0	—	—	+2	-0.2
2019	22	AA	Binghamton Rumble Ponies	294	270	75	13	0	1	23	52	1	1	0	.278	.337	.337	.674	.059	.341	18	8	.309	94	-2	+0	—	—	+8	0.7
2019	22	INTL	Scottsdale Scorpions	49	42	11	2	0	0	6	8	0	0	0	.262	.354	.310	.664	.048	.314	16	12	.304	91	-1	+0	—	—	+1	0.1
2021	24	AAA	Memphis Redbirds	270	251	69	10	0	4	18	47	0	0	2	.275	.323	.363	.686	.088	.323	17	7	.309	95	-2	-1	—	—	+8	0.5
2021	24	INTL	Cardenales de Lara	131	125	38	7	0	2	5	18	0	0	2	.304	.331	.408	.739	.104	.340	14	4	.327	109	+1	-1	—	—	+4	0.4
2022	25	AAA	Toledo Mud Hens	291	252	66	14	0	6	35	77	2	2	0	.262	.356	.389	.745	.127	.351	26	12	.337	116	+5	+0	—	—	+8	1.4
2022	25	INTL	Cardenales de Lara	85	77	17	3	0	0	6	13	0	0	0	.221	.277	.260	.537	.039	.258	15	7	.244	45	-5	+0	—	—	+2	-0.3
2023	26	AAA	Reno Aces	267	238	74	10	0	11	26	42	0	0	3	.311	.379	.492	.870	.181	.335	16	10	.381	150	+15	-1	—	—	+8	2.2
2024	27	MLB	Miami Marlins	96	84	14	2	0	0	4	24	1	2	1	.167	.213	.190	.404	.024	.230	25	4	.177	-7	-12	+0	+5	+6	+3	0.2
2024	27	AAA	Jacksonville Jumbo Shrimp	174	155	35	12	0	3	18	35	1	0	0	.226	.310	.361	.672	.135	.274	20	10	.305	91	-2	+0	—	—	+5	0.3
2024	27	INTL	Venezuela	66	64	25	10	0	1	2	9	0	1	1	.391	.409	.594	1.003	.203	.444	14	3	.439	194	+7	-0	—	—	+2	0.9
2025	28	MLB	Boston Red Sox	23	23	5	2	0	0	0	6	0	0	0	.217	.217	.304	.522	.087	.294	26	0	.230	34	-2	+0	+1	+7	+1	0.7
2025	28	AAA	Syracuse Mets	211	190	52	8	0	6	18	50	1	0	0	.274	.340	.411	.750	.137	.338	24	9	.334	114	+3	+0	—	—	+6	0.9
2025	28	INTL	Cardenales de Lara	153	137	42	7	0	6	12	16	0	1	0	.307	.362	.489	.851	.182	.305	10	8	.367	139	+7	+0	—	—	+4	1.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			119	107	19	4	0	0	4	30	1	2	1	.178	.214	.215	.429	.037	.244	25	3	.187	1	-13	+0	+6	+13	+3	0.9

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
Ali Sánchez (OGILVIE)	29	50	45	45	40	.187/.240/.285	.099	.232	5	1	25%	6%	41	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeff Mathis 2012 · MLB	29	38→46	42→50	43→45	42	.194/.246/.295	.101	.252	10	6	27%	6%	46	-2.0	.202/.253/.322	.120	.270	13	4	29%	6%	56	-1.3	.213/.264/.317	.104	.291	8	1	28%	6%	54	-0.4
✕Jesus Flores 2014 · MLB	29	37→38	41→50	42→30	38	.188/.221/.284	.095	.238	9	3	26%	4%	31	-3.0	.199/.243/.300	.101	.261	10	5	27%	5%	46	-2.0	.198/.236/.304	.106	.259	15	0	29%	5%	39	-0.6
✕John Ryan Murphy 2019 · MLB	28	39→47	45→50	46→40	43	.202/.249/.316	.113	.247	14	3	24%	6%	53	-1.5	.205/.255/.366	.161	.275	22	4	33%	6%	69	-0.4	.177/.226/.373	.196	.214	30	0	35%	6%	56	-0.5
✕Luke Maile 2018 · MLB	27	39→49	40→45	44→40	41	.194/.238/.281	.087	.238	8	4	22%	5%	38	-2.6	.211/.273/.314	.103	.281	9	7	27%	7%	62	-0.9	.228/.311/.350	.122	.312	11	4	28%	9%	84	+0.2
✕Jhonatan Solano 2015 · MLB	29	44	43→45	46→40	43	.216/.253/.319	.104	.243	11	4	17%	4%	55	-1.4	.209/.247/.294	.085	.237	8	4	15%	4%	45	-2.1	.199/.235/.255	.057	.225	4	0	13%	3%	28	-1.0
✕Clint Sammons 2011 · MLB	28	36→46	41→40	45	42	.184/.234/.274	.089	.226	10	9	23%	5%	35	-2.8	.188/.238/.310	.122	.245	16	7	30%	5%	46	-2.0	.146/.172/.258	.113	.186	19	0	35%	2%	3	-1.2
✕Jason Delay 2023 · MLB	28	41	39→45	42→40	39	.202/.249/.290	.088	.280	7	5	30%	5%	45	-2.1	.221/.277/.307	.086	.290	5	5	24%	6%	62	-0.9	.215/.272/.281	.066	.278	3	2	22%	6%	49	-0.6
✕Jesús Sucre 2017 · MLB	29	46	39→40	42→40	41	.222/.256/.306	.083	.268	7	4	20%	4%	52	-1.6	.231/.273/.335	.104	.268	11	6	18%	5%	67	-0.5	.223/.263/.303	.081	.260	8	3	17%	4%	50	-0.6
✕Ryan Jorgensen 2008 · MLB	29	40	43→45	48→30	42	.203/.254/.306	.103	.259	11	5	26%	6%	52	-1.6	.220/.268/.351	.131	.283	15	6	27%	6%	69	-0.4	.214/.263/.359	.146	.274	18	0	29%	6%	67	-0.2
✕Jose Trevino 2021 · MLB	28	43→53	43→45	46→40	42	.214/.249/.326	.112	.252	10	5	20%	4%	55	-1.4	.235/.271/.357	.122	.272	13	5	19%	5%	72	-0.2	.230/.280/.356	.126	.251	17	2	17%	6%	74	-0.0
✕Tuffy Gosewisch 2014 · MLB	30	42→44	43→45	39→40	41	.211/.253/.324	.113	.249	11	4	21%	4%	56	-1.3	.217/.259/.324	.107	.258	10	5	20%	5%	58	-1.2	.220/.265/.328	.108	.255	11	2	18%	5%	59	-0.4
✕Chris Valaika 2015 · MLB	29	42→52	43→45	42→40	40	.213/.259/.320	.107	.266	11	5	24%	5%	58	-1.2	.222/.271/.335	.113	.284	11	5	25%	5%	66	-0.6	.217/.265/.321	.105	.280	9	1	25%	4%	59	-0.7
✕Jackson Williams 2015 · MLB	29	41	44→45	43→40	43	.207/.258/.318	.112	.262	11	5	26%	6%	56	-1.3	.201/.256/.272	.071	.258	5	4	23%	6%	44	-2.1	.186/.240/.231	.045	.238	3	1	22%	6%	24	-1.5
✕Yamid Haad 2007 · MLB	29	41	47→45	46→40	41	.208/.248/.339	.131	.241	15	6	21%	4%	58	-1.2	.214/.255/.317	.103	.270	11	6	24%	5%	55	-1.4	.220/.260/.314	.094	.279	9	1	24%	5%	54	-0.6
✕Drew Butera 2013 · MLB	29	41	41→40	47→40	45	.199/.251/.297	.098	.232	8	3	19%	5%	48	-1.9	.194/.252/.289	.095	.241	9	4	23%	6%	46	-2.0	.231/.283/.345	.114	.291	12	0	24%	6%	72	-0.1
✕Eli Whiteside 2009 · AAA	29	42	45→50	42→40	38	.213/.250/.332	.119	.261	13	6	24%	4%	57	-1.2	.212/.258/.336	.124	.275	13	6	27%	5%	62	-0.9	.202/.255/.328	.127	.261	13	3	28%	5%	54	-0.5
✕Aramis Garcia 2023 · MLB	30	42→41	43→50	43→45	36	.212/.254/.318	.106	.286	12	5	30%	4%	55	-1.4	.197/.247/.340	.143	.272	20	7	34%	5%	59	-1.1	.174/.239/.321	.147	.238	22	6	37%	6%	49	-0.8
✕Pete Kozma 2017 · MLB	29	41→46	37→40	46→50	45	.196/.251/.265	.069	.243	5	12	21%	6%	40	-2.4	.195/.244/.277	.082	.246	6	10	22%	5%	40	-2.4	.191/.240/.281	.091	.237	6	6	22%	5%	37	-1.7
✕Jeff Bianchi 2016 · MLB	29	47→55	38→45	46→50	44	.227/.267/.305	.078	.276	6	10	20%	5%	56	-1.3	.219/.266/.298	.079	.287	7	8	25%	6%	54	-1.4	.203/.247/.243	.040	.279	3	2	27%	6%	30	-1.3
✕JT Riddle 2022 · MLB	30	37→47	45→50	47→45	40	.192/.236/.312	.120	.229	12	7	23%	4%	46	-2.0	.212/.247/.341	.129	.261	14	5	24%	3%	58	-1.2	.214/.238/.355	.141	.264	15	0	25%	2%	55	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)