Axel Sanchez — OGILVIE

Axel SanchezSS Everett AquaSox

Age 23 R/R 6'0" / 185 lbs A+ K +7%HR -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION277 act + 9 ros · stats below = ROS only

showingROS

wRC+†50

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP237

ISO100

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 30 / POW 45

Toolsscout grade

CONTACT30

scouting grade only

POWER45

scouting grade only

EYE49

scouting grade only

SPEED59

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$0.0M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2021	18	ROK	DSL Mariners	—	191	162	42	7	0	1	20	46	6	15	4	259	362	321	683	62	350	24	10	315	99	-0	+1	—	—	+4	0.6
2022	19	A+	Everett AquaSox	—	34	34	8	1	0	0	0	9	0	0	0	235	235	265	500	29	320	26	0	224	38	-3	+0	—	—	+1	-0.2
2022	19	A	Modesto Nuts	—	152	131	40	13	2	8	15	42	6	4	1	305	401	618	1.020	313	395	28	10	440	184	+15	+0	—	—	+3	1.9
2022	19	ROK	ACL Mariners	—	99	86	23	5	2	2	11	20	1	9	2	267	357	442	799	174	323	20	11	352	125	+3	+1	—	—	+2	0.6
2023	20	A+	Everett AquaSox	—	305	272	54	15	3	7	26	89	7	14	4	199	285	353	638	154	267	29	9	289	82	-7	+1	—	—	+7	0.1
2024	21	A+	Everett AquaSox	—	393	344	68	7	2	5	35	111	6	15	9	198	283	273	556	76	268	28	9	255	59	-19	-1	—	—	+9	-1.2
2025	22	AA	Arkansas Travelers	—	114	99	24	5	0	4	12	30	1	3	3	242	330	414	744	172	303	26	11	328	108	+1	-1	—	—	+2	0.3
2025	22	A+	Everett AquaSox	—	48	37	4	3	0	1	8	15	2	0	1	108	298	270	568	162	136	31	17	271	69	-2	-0	—	—	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Mariners	—	191	170	32	4	0	1	12	66	6	15	4	188	266	229	495	41	284	35	6	221	36	-15	+1	—	—	+4	-0.9
2022	19	A+ MLE	Everett AquaSox	—	34	34	6	1	0	0	0	13	0	0	0	176	176	206	382	29	268	38	0	156	-8	-4	+0	—	—	+1	-0.4
2022	19	A MLE	Modesto Nuts	—	152	136	31	9	1	8	10	58	6	4	1	228	309	485	795	257	323	38	7	330	109	+2	+0	—	—	+3	0.6
2022	19	ROK MLE	ACL Mariners	—	99	90	15	3	1	1	7	29	1	9	2	167	235	256	490	89	238	29	7	235	45	-6	+1	—	—	+2	-0.3
2023	20	A+ MLE	Everett AquaSox	—	305	281	39	10	2	5	17	119	7	14	4	139	207	242	449	103	209	39	6	196	19	-29	+1	—	—	+7	-2.2
2024	21	A+ MLE	Everett AquaSox	—	393	359	53	5	2	3	20	155	6	15	9	148	205	198	403	50	228	39	5	181	9	-43	-1	—	—	+9	-3.6
2025	22	AA MLE	Arkansas Travelers	—	114	102	24	5	0	4	9	34	1	3	3	235	304	402	706	167	290	30	8	296	86	-2	-1	—	—	+2	0.0
2025	22	A+ MLE	Everett AquaSox	—	48	40	3	2	0	1	5	22	2	0	1	75	213	200	413	125	107	46	10	183	10	-5	-0	—	—	+1	-0.5
2021	18	ROK MLE	DSL Mariners	—	191	170	32	4	0	1	12	66	6	15	4	188	266	229	495	41	295	35	6	221	36	—	—	—	—	—	—
2021	18	ROK RAW	DSL Mariners	—	191	162	42	7	0	1	20	46	6	15	4	259	362	321	683	62	350	24	10	315	36	—	—	—	—	—	—
2022	19	A MLE	3 teams	—	285	260	52	12	3	9	17	100	7	13	3	200	268	373	641	173	283	35	6	276	73	—	—	—	—	—	—
2022	19	A RAW	3 teams	—	285	251	71	19	4	10	26	71	7	13	3	283	366	510	876	227	357	25	9	384	73	—	—	—	—	—	—
2023	20	A+ MLE	Everett AquaSox	—	305	281	39	10	2	5	17	119	7	14	4	139	207	242	449	103	217	39	6	196	19	—	—	—	—	—	—
2023	20	A+ RAW	Everett AquaSox	—	305	272	54	15	3	7	26	89	7	14	4	199	285	353	638	154	267	29	9	289	19	—	—	—	—	—	—
2024	21	A+ MLE	Everett AquaSox	—	393	359	53	5	2	3	20	155	6	15	9	148	205	198	403	50	240	39	5	181	9	—	—	—	—	—	—
2024	21	A+ RAW	Everett AquaSox	—	393	344	68	7	2	5	35	111	6	15	9	198	283	273	556	76	268	28	9	255	9	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	162	142	27	7	0	5	14	56	3	3	4	190	277	345	622	155	265	35	9	263	64	—	—	—	—	—	—
2025	22	AA RAW	2 teams	—	162	136	28	8	0	5	20	45	3	3	4	206	321	375	696	169	261	28	12	311	64	—	—	—	—	—	—
2021	18	ROK MLE	DSL Mariners	—	191	171	32	4	0	1	12	66	6	15	4	187	266	228	494	41	284	35	6	221	36	—	—	—	—	—	—
2022	19	A MLE	3 teams	—	285	259	52	12	3	9	17	100	7	13	3	201	268	375	642	174	287	35	6	276	73	—	—	—	—	—	—
2023	20	A+ MLE	Everett AquaSox	—	305	278	39	10	2	5	17	119	7	14	4	140	207	245	451	104	209	39	6	196	19	—	—	—	—	—	—
2024	21	A+ MLE	Everett AquaSox	—	393	364	53	5	2	3	20	155	6	15	9	146	205	195	400	49	228	39	5	181	9	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	162	144	27	7	0	5	14	56	3	3	4	188	277	340	617	153	236	35	9	263	64	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A+ MLE	Everett AquaSox	—	305	278	39	10	2	5	17	119	7	14	4	140	207	245	451	104	209	39	6	196	19	—	—	—	—	—	—
2024	21	A+ MLE	Everett AquaSox	—	393	364	53	5	2	3	20	155	6	15	9	146	205	195	400	49	228	39	5	181	9	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	162	144	27	7	0	5	14	56	3	3	4	188	277	340	617	153	236	35	9	263	64	—	—	—	—	—	—
YTD	23	A+ MLE	SEA	—	277	244	41	7	0	7	22	83	7	15	3	168	256	283	539	115	215	30	8	242	50	-17	+2	+0	+3	+6	-0.6
▸ 2026 season
YTD	23	A+ RAW	SEA	—	208	172	38	9	0	7	27	43	6	12	3	221	346	395	742	174	248	21	13	333	50	—	—	—	—	—	—
YTD	23	AAA RAW	SEA	—	69	60	13	1	0	2	7	18	1	3	0	217	309	333	642	117	268	26	10	292	50	—	—	—	—	—	—
ROS	23	A+ MLE	SEA	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		239	33	11	241	50	-1	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	SEA	—	286	252	42	7	0	7	23	86	7	15	3	167	255	278	533	111	215	30	8	242	50	-17	+2	+0	+3	+6	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SEA	30%	366	330	60	11	1	8	27	113	6	11	4	182	256	294	550	112	246	31	7	254	58	-18	+1	+0	+4	+8	-0.6
2028	25	MLB MLE	SEA	44%	409	369	70	13	1	10	31	122	6	12	4	190	264	312	575	122	250	30	8	261	63	-18	+1	+0	+4	+9	-0.4
2029	26	MLB MLE	SEA	51%	436	392	75	14	1	11	34	129	7	13	4	191	268	316	584	125	252	30	8	266	66	-18	+1	+0	+5	+9	-0.3
2030	27	MLB MLE	SEA	52%	443	398	76	14	1	11	35	130	7	13	4	191	268	314	582	123	253	29	8	267	67	-17	+1	+0	+5	+10	-0.2
2031	28	MLB MLE	SEA	53%	443	398	76	14	1	11	35	131	7	12	4	191	268	314	582	123	253	30	8	267	67	-18	+1	-1	+5	+10	-0.3
2032	29	MLB MLE	SEA	53%	436	391	75	14	1	11	35	130	7	11	4	192	270	317	587	125	252	30	8	265	65	-18	+1	-1	+5	+9	-0.5
2027	24	MLB CTX	SEA	30%	111	100	17	3	0	2	8	34	2	3	1	170	245	260	505	90	244	31	7	240	58	-6	+0	+0	+1	+2	-0.2
2028	25	MLB CTX	SEA	44%	181	162	31	6	1	4	14	54	3	5	2	191	268	315	583	123	248	30	8	248	63	-8	+0	+0	+2	+4	-0.2
2029	26	MLB CTX	SEA	51%	221	199	38	7	1	5	17	65	3	6	2	191	265	312	576	121	250	29	8	252	66	-9	+0	+0	+2	+5	-0.1
2030	27	MLB CTX	SEA	52%	232	208	40	7	1	6	18	68	4	7	2	192	270	322	592	130	251	29	8	254	67	-9	+1	+0	+2	+5	-0.1
2031	28	MLB CTX	SEA	53%	236	211	41	7	1	6	19	70	4	7	2	194	274	322	596	128	251	30	8	253	67	-9	+1	-0	+3	+5	-0.2
2032	29	MLB CTX	SEA	53%	229	206	39	7	1	5	18	68	3	6	2	189	264	306	570	117	250	30	8	251	65	-9	+0	-1	+2	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1210	1086	206	37	5	28	94	359	19	34	11	190	266	310	576	121	252	30	8	251	54	-50	+2	-1	+13	+26	-1.0
/ 162G	—	A+C		—	650	583	111	20	3	15	50	193	10	18	6	190	266	312	578	122	254	30	8	251	54	-27	+1	-1	+7	+14	-0.5
Career	—	MLE		—	3878	3498	636	118	13	85	278	1254	69	132	48	182	256	296	552	114	252	32	7	249	54	-107	+5	-2	+27	+55	-2.3
/ 162G	—	MLE		—	650	586	106	20	2	14	47	210	12	22	8	181	256	294	550	113	251	32	7	249	54	-27	+1	-1	+7	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.8	1,212	30	34	192	265	317	+13	+9	-0.1	-0.0
/162	664	16	19	+7.1	+4.9	-0.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
Axel Sanchez (OGILVIE)	23	25→30	40→45	54→59	49	172/246/276	103	239	6	10	32%	7%	50	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jason Lopez 2022 · AA	24	39	42→50	54→45	41	191/254/290	99	287	9	12	35%	8%	54	-2.0	206/269/313	107	301	10	9	33%	8%	65	-1.2	165/225/251	86	232	8	0	31%	7%	32	-0.7
✕Steven Baron 2014 · A	23	35	40→45	53→50	34	179/213/275	95	257	7	9	33%	4%	34	-3.5	216/264/299	83	296	5	9	27%	6%	59	-1.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Blake Hunt 2022 · AA	23	35	43→45	49→40	39	180/241/289	109	274	11	4	37%	7%	49	-2.4	201/257/318	117	274	12	4	30%	6%	62	-1.4	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Johan Lopez 2023 · AA	23	39	43→45	51→55	41	193/269/299	106	293	11	13	36%	8%	63	-1.4	203/273/300	97	309	8	12	34%	8%	64	-1.3	170/256/241	71	275	3	11	36%	10%	43	-0.6
✕Max George 2019 · A	23	35→38	44→45	53→55	44	180/263/295	115	240	11	20	29%	7%	60	-1.6	190/276/300	110	283	11	20	34%	8%	66	-1.1	150/259/288	138	250	17	20	43%	10%	55	-0.8
✕Grae Kessinger 2022 · AA	24	38→31	42→45	48→50	41	191/251/284	93	257	11	15	30%	6%	52	-2.2	195/269/308	113	260	13	14	29%	8%	64	-1.3	179/261/273	93	244	9	8	29%	9%	52	-0.9
✕Claudio Finol 2023 · AA	23	38	37→40	50→45	40	186/240/263	77	257	4	8	28%	6%	42	-2.9	207/267/299	92	292	8	10	30%	7%	61	-1.5	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	188/254/321	133	272	15	10	35%	6%	62	-1.4	207/272/348	141	302	15	9	35%	6%	75	-0.5	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Ismael Alcantara 2023 · AA	24	38→29	45	50	37	194/252/314	121	284	13	12	35%	6%	59	-1.6	211/268/301	90	318	8	17	34%	6%	61	-1.5	217/275/286	69	332	7	24	34%	6%	57	-1.1
✕Troy Stokes Jr. 2019 · AA	23	40→38	47→50	54→55	44	202/275/339	137	273	14	17	30%	8%	74	-0.6	192/271/310	118	266	11	17	30%	8%	66	-1.1	166/252/265	99	226	9	19	29%	8%	47	-1.4
✕Jeter Downs 2022 · AAA	24	35→40	46→50	53→55	40	185/248/306	121	260	15	19	34%	7%	56	-1.9	181/262/305	124	259	14	22	34%	8%	62	-1.4	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Ethan Murray 2023 · AA	23	37→47	41→40	51→50	42	182/253/277	95	271	8	13	34%	8%	51	-2.2	200/272/288	88	292	6	12	31%	8%	61	-1.5	197/274/280	84	283	6	13	30%	8%	57	-1.1
✕Mariel Bautista 2021 · A	23	41→36	42→45	49→50	39	204/254/301	97	266	10	15	27%	5%	57	-1.8	211/256/332	121	306	12	11	34%	5%	64	-1.3	186/219/331	145	265	16	11	36%	3%	51	-0.5
✕Kaden Polcovich 2022 · AA	23	38→41	45	54→55	46	193/280/319	126	273	13	17	32%	9%	72	-0.7	199/280/314	115	273	11	17	29%	8%	70	-0.8	190/275/299	108	260	10	19	29%	8%	63	-0.8
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Brandon Hicks 2010 · AA	24	40	46→50	53→50	41	200/265/330	129	286	13	13	33%	7%	68	-1.0	196/257/323	127	290	14	12	36%	7%	63	-1.4	179/258/334	155	270	19	6	39%	8%	63	-0.9
✕David Sheaffer 2019 · A	24	36	42→50	52→40	39	184/231/287	103	246	10	7	29%	5%	44	-2.8	211/256/331	120	295	12	5	31%	5%	64	-1.3	193/238/303	110	272	11	1	33%	5%	49	-0.7
✕Alerick Soularie 2023 · A	24	39	44→45	53→60	44	192/273/305	114	293	11	16	36%	9%	65	-1.2	199/280/310	111	290	12	26	33%	9%	70	-0.9	181/272/285	104	255	13	39	32%	9%	60	-0.6
✕Jase Bowen 2023 · A	22	39→40	44→50	55	35	194/253/305	111	300	12	14	38%	6%	57	-1.8	201/254/323	122	287	13	19	34%	5%	61	-1.5	203/254/335	133	288	14	24	34%	5%	62	-0.9

Career Stats + Projections

Career Comps

Career Path Comps