Luis Suisbel — OGILVIE

Luis Suisbel3B Everett AquaSox

Age 23 S/R 6'1" / 190 lbs A+ K +7%HR -5% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION433 act + 9 ros · stats below = ROS only

showingROS

wRC+†66

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%33

BB%6

BABIP258

ISO144

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · ContractCON 44 / POW 52

Toolsscout grade

CONTACT44

scouting grade only

POWER52

scouting grade only

EYE45

scouting grade only

SPEED38

scouting grade only

DEFENSE45

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Arb-1	$0.2M	—	—	—
2032	Arb-2	$0.4M	—	—	—
2033	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-3M	+$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	—	160	128	24	6	0	2	17	47	13	3	1	188	342	281	623	94	272	29	11	299	88	-2	+0	—	—	+3	0.1
2022	19	ROK	DSL Mariners	—	163	134	29	7	1	4	17	44	12	3	2	216	356	373	729	157	291	27	10	337	114	+3	-0	—	—	+4	0.6
2023	20	A	Modesto Nuts	—	144	124	36	3	2	6	12	43	6	0	0	290	380	492	872	202	390	30	8	382	144	+8	+0	—	—	+3	1.1
2023	20	ROK	ACL Mariners	—	140	103	30	7	2	6	26	39	10	4	1	291	475	573	1.048	282	407	28	19	455	194	+16	+0	—	—	+3	2.0
2024	21	A	Modesto Nuts	—	552	475	131	23	4	15	49	144	14	4	0	276	361	436	796	160	352	26	9	348	122	+14	+1	—	—	+12	2.8
2024	21	INTL	Navegantes del Magallanes	—	120	105	29	9	0	5	12	23	3	2	1	276	367	505	871	229	312	19	10	384	146	+7	+0	—	—	+3	0.9
2025	22	A+	Everett AquaSox	—	491	427	90	15	1	23	48	135	13	8	1	211	309	412	722	201	246	27	10	322	104	+2	+1	—	—	+11	1.4
2025	22	INTL	Navegantes del Magallanes	—	170	143	30	6	0	4	18	32	7	3	1	210	327	336	663	126	239	19	11	305	92	-2	+0	—	—	+4	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Mariners	—	160	135	16	3	0	1	10	68	13	3	1	119	247	163	410	44	202	42	6	195	18	-16	+0	—	—	+3	-1.2
2022	19	ROK MLE	DSL Mariners	—	163	141	20	4	1	3	10	65	12	3	2	142	258	248	506	106	219	40	6	217	33	-13	-0	—	—	+4	-1.0
2023	20	A MLE	Modesto Nuts	—	144	128	29	2	1	6	8	56	6	0	0	227	303	398	701	172	334	39	6	304	92	-1	+0	—	—	+3	0.2
2023	20	ROK MLE	ACL Mariners	—	140	113	22	5	1	5	16	57	10	4	1	195	345	389	735	195	303	41	11	311	97	-1	+0	—	—	+3	0.3
2024	21	A MLE	Modesto Nuts	—	552	490	109	16	2	15	34	194	14	4	0	222	292	355	647	133	304	35	6	282	77	-15	+1	—	—	+12	-0.2
2025	22	A+ MLE	Everett AquaSox	—	491	445	64	10	1	16	30	197	13	8	1	144	219	279	498	135	199	40	6	217	33	-39	+1	—	—	+11	-2.8
2021	18	ROK MLE	DSL Mariners	—	160	135	16	3	0	1	10	68	13	3	1	119	247	163	410	44	221	42	6	195	18	—	—	—	—	—	—
2021	18	ROK RAW	DSL Mariners	—	160	128	24	6	0	2	17	47	13	3	1	188	342	281	623	94	272	29	11	299	18	—	—	—	—	—	—
2022	19	ROK MLE	DSL Mariners	—	163	141	20	4	1	3	10	65	12	3	2	142	258	248	506	106	233	40	6	217	33	—	—	—	—	—	—
2022	19	ROK RAW	DSL Mariners	—	163	134	29	7	1	4	17	44	12	3	2	216	356	373	729	157	291	27	10	337	33	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	284	240	51	7	2	10	25	113	16	4	1	212	327	383	711	171	342	40	9	307	94	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	284	227	66	10	4	12	38	82	16	4	1	291	427	529	956	238	397	29	13	418	94	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	672	600	134	20	3	18	41	237	17	6	1	223	292	357	648	133	323	35	6	282	77	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	672	580	160	32	4	20	61	167	17	6	1	276	362	448	810	172	344	25	9	355	77	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	661	595	86	14	1	21	41	266	20	11	2	145	224	277	501	133	208	40	6	217	33	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	661	570	120	21	1	27	66	167	20	11	2	211	314	393	707	182	244	25	10	317	33	—	—	—	—	—	—
2021	18	ROK MLE	DSL Mariners	—	160	136	16	3	0	1	10	68	13	3	1	118	247	162	409	44	202	42	6	195	18	—	—	—	—	—	—
2022	19	ROK MLE	DSL Mariners	—	163	140	20	4	1	3	10	65	12	3	2	143	258	250	508	107	219	40	6	217	33	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	284	241	51	7	2	10	25	113	16	4	1	212	327	382	709	170	319	40	9	307	94	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	672	609	134	20	3	18	41	237	17	6	1	220	292	351	643	131	304	35	6	282	77	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	661	595	86	14	1	21	41	266	20	11	2	145	224	277	501	133	199	40	6	217	33	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	284	241	51	7	2	10	25	113	16	4	1	212	327	382	709	170	319	40	9	307	94	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	672	609	134	20	3	18	41	237	17	6	1	220	292	351	643	131	304	35	6	282	77	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	661	595	86	14	1	21	41	266	20	11	2	145	224	277	501	133	199	40	6	217	33	—	—	—	—	—	—
YTD	23	A+ MLE	SEA	—	433	396	74	19	1	14	22	152	11	6	4	187	249	346	595	159	259	35	5	257	60	-21	-0	+0	+2	+9	-1.0
▸ 2026 season
YTD	23	A+ RAW	SEA	—	433	383	99	27	2	19	35	109	11	6	4	258	338	488	826	230	311	25	8	360	60	—	—	—	—	—	—
ROS	23	A+ MLE	SEA	0%	9	9	1	0	0	0	0	3	0	0	0	111	111	111	222		261	33	0	265	66	-0	+0	-0	+0	+0	-0.0
TOT	23	A+ MLE	SEA	—	442	405	75	19	1	14	22	155	11	6	4	185	247	341	587	156	256	35	5	257	60	-21	-0	-0	+2	+10	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SEA	30%	539	492	97	20	2	18	32	180	10	8	3	197	260	356	616	159	264	33	6	273	71	-18	+0	-1	+2	+12	-0.6
2028	25	MLB MLE	SEA	44%	570	519	105	22	2	19	36	185	10	9	4	202	267	362	629	160	267	32	6	280	75	-17	+0	-1	+2	+12	-0.4
2029	26	MLB MLE	SEA	51%	587	533	108	22	2	20	38	187	11	9	4	203	270	364	634	161	268	32	6	283	78	-16	+0	-1	+2	+13	-0.2
2030	27	MLB MLE	SEA	52%	593	538	110	23	2	20	39	188	11	9	4	204	272	366	638	162	268	32	7	284	78	-15	+0	-2	+2	+13	-0.2
2031	28	MLB MLE	SEA	53%	592	536	109	22	2	20	40	189	11	9	4	203	273	364	636	160	268	32	7	283	78	-16	+0	-2	+2	+13	-0.3
2032	29	MLB MLE	SEA	53%	585	530	107	22	2	19	40	188	10	9	4	202	271	358	629	157	267	32	7	281	76	-16	+0	-3	+2	+13	-0.4
2033	30	MLB MLE	SEA	52%	576	522	104	21	2	19	39	186	10	9	4	199	268	356	624	157	265	32	7	278	74	-18	+0	-4	+2	+12	-0.6
2027	24	MLB CTX	SEA	30%	163	149	29	6	1	5	10	55	3	2	1	195	259	349	608	154	262	34	6	256	71	-6	+0	-0	+1	+4	-0.2
2028	25	MLB CTX	SEA	44%	252	229	45	9	1	8	16	82	5	4	2	197	264	349	613	153	264	33	6	263	75	-7	+0	-1	+1	+5	-0.2
2029	26	MLB CTX	SEA	51%	298	272	54	11	1	10	19	95	5	5	2	199	264	357	620	158	265	32	6	267	78	-8	+0	-1	+1	+6	-0.1
2030	27	MLB CTX	SEA	52%	311	281	57	12	1	10	21	99	6	5	2	203	273	359	632	157	266	32	7	268	78	-8	+0	-1	+1	+7	-0.1
2031	28	MLB CTX	SEA	53%	316	286	57	12	1	10	21	101	6	5	2	199	268	353	622	154	265	32	7	267	78	-8	+0	-1	+1	+7	-0.1
2032	29	MLB CTX	SEA	53%	307	278	55	11	1	10	21	99	5	5	2	198	266	353	619	155	264	32	7	265	76	-9	+0	-2	+1	+7	-0.2
2033	30	MLB CTX	SEA	52%	300	272	54	11	1	10	20	97	5	4	2	199	266	357	623	158	262	32	7	262	74	-9	+0	-2	+1	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1947	1767	351	72	7	63	128	628	35	30	13	199	266	354	621	156	265	32	7	264	69	-55	+1	-7	+7	+42	-1.2
/ 162G	—	A+C		—	650	590	117	24	2	21	43	210	12	10	4	198	267	353	620	154	264	32	7	264	69	-18	+0	-2	+2	+14	-0.4
Career	—	MLE		—	5991	5390	1048	200	21	188	391	2055	151	89	34	194	268	344	612	150	269	34	7	271	69	-116	+2	-14	+14	+88	-2.7
/ 162G	—	MLE		—	650	585	113	22	2	20	42	223	16	10	4	193	266	340	606	147	268	34	6	271	69	-19	+0	-2	+2	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#4Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
#5J.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
#6Nick 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	2.9	1,949	65	29	203	267	363	+7	-6	0.6	0.6
/162	664	22	10	+2.4	-1.9	0.2	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
Luis Suisbel (OGILVIE)	23	35→44	44→52	37→38	45	187/251/337	150	261	10	4	35%	6%	66	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bobby Borchering 2014 · AA	23	36→42	48→50	41→30	37	191/248/329	138	282	17	3	37%	6%	61	-1.5	184/237/279	95	305	9	4	40%	6%	45	-2.7	152/194/218	65	255	5	2	41%	4%	12	-2.1
✕John Tolisano 2012 · AA	23	38→46	46→45	44→50	44	196/259/329	132	265	14	8	31%	8%	65	-1.2	208/271/331	123	268	11	11	25%	8%	70	-0.9	201/266/317	116	253	11	11	24%	8%	62	-0.8
✕Patrick Bailey 2023 · A	24	38→48	46→45	47→45	46	195/269/321	126	268	13	5	31%	9%	68	-1.0	226/287/344	118	301	12	5	27%	8%	78	-0.3	231/291/344	113	305	11	4	27%	7%	78	-0.2
✕Cody Thomas 2018 · A	23	35→45	49→60	44→45	33	185/239/329	144	288	18	6	42%	5%	58	-1.7	197/250/343	146	298	17	5	38%	6%	65	-1.2	213/265/403	190	279	23	4	32%	6%	82	-0.0
✕Brennen Davis 2023 · AAA	23	40→41	47→50	43→45	41	199/281/332	133	295	15	7	36%	8%	75	-0.5	186/273/311	125	255	15	9	32%	7%	68	-1.0	183/283/356	173	231	23	4	31%	8%	81	-0.0
✕Marcus Greene Jr. 2018 · A	23	39	47→50	42→40	42	204/265/335	132	265	15	4	29%	7%	69	-0.9	214/269/319	105	302	10	5	31%	6%	66	-1.1	199/250/262	63	298	6	0	34%	6%	42	-0.9
✕Anthony García 2015 · A	23	37→47	49→55	42→45	41	196/260/343	147	251	16	5	29%	6%	69	-0.9	217/283/346	129	265	13	7	23%	7%	78	-0.3	219/290/359	140	265	17	4	24%	7%	83	+0.0
✕Brian McFall 2007 · A	23	35→44	50→55	46→50	35	191/251/341	150	268	19	9	36%	5%	65	-1.2	210/270/358	148	286	17	8	32%	6%	76	-0.4	209/271/356	147	280	17	8	30%	6%	73	-0.4
✕Brett Carroll 2006 · A	23	37→45	49→55	41→50	32	199/239/344	145	264	17	8	32%	3%	61	-1.5	210/262/367	157	267	18	7	28%	5%	76	-0.4	220/274/392	172	270	20	1	26%	5%	82	+0.0
✕Luis Liberato 2019 · A	23	42→49	47→50	44→50	41	212/259/350	138	282	14	6	30%	6%	70	-0.9	225/271/352	127	297	14	7	28%	6%	74	-0.5	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Johermyn Chavez 2012 · AA	23	42→47	48→50	40→45	40	214/272/353	139	282	16	6	30%	6%	76	-0.4	209/275/326	117	280	13	5	29%	7%	71	-0.8	204/276/322	119	268	15	2	28%	7%	69	-0.4
✕Jeremiah Jackson 2023 · AA	23	37→47	48→55	48→55	42	197/259/341	144	266	16	12	32%	7%	68	-1.0	215/261/367	152	281	19	15	30%	5%	75	-0.5	224/265/381	157	284	20	15	28%	5%	77	-0.3
✕Brett Cumberland 2019 · AA	24	39→40	46→45	38→30	41	191/286/319	129	293	14	2	37%	8%	75	-0.5	197/300/318	121	289	12	3	34%	8%	80	-0.1	174/292/275	101	262	11	1	34%	8%	65	-0.5
✕Travis Demeritte 2018 · AA	23	37→44	48→55	47→50	39	191/251/332	141	291	15	9	38%	7%	63	-1.4	204/270/356	152	296	17	7	35%	8%	76	-0.4	205/271/367	162	301	19	9	36%	8%	76	-0.3
✕Yonathan Perlaza 2022 · A	23	45→52	48→55	44→50	41	225/281/367	142	308	16	7	32%	7%	82	-0.0	226/297/395	169	297	18	11	28%	9%	95	+0.9	232/305/402	170	301	17	12	27%	9%	96	+1.0
✕Fernando Perez 2017 · A	23	37→43	47→50	43→30	37	198/243/329	131	268	16	3	32%	5%	59	-1.7	216/257/353	137	284	17	3	30%	5%	70	-0.9	222/262/362	139	282	18	1	28%	4%	72	-0.5
✕Michael Burgess 2012 · AA	23	39→42	48→50	45	42	202/268/345	143	270	16	4	31%	7%	73	-0.6	210/265/349	139	269	14	3	27%	7%	72	-0.7	213/261/361	148	264	15	2	25%	6%	72	-0.5
✕Daniel Palka 2015 · A	23	40→43	49→55	47→50	42	207/267/358	151	280	17	6	32%	7%	75	-0.5	210/262/376	166	301	21	10	36%	6%	77	-0.3	207/276/382	174	264	24	4	31%	8%	82	+0.0
✕Isiah Gilliam 2019 · A	23	42→48	44→55	42→55	36	206/255/324	118	312	12	5	37%	6%	62	-1.4	195/253/317	122	323	13	13	41%	7%	60	-1.6	219/301/387	168	339	20	19	38%	9%	91	+0.4
✕Michael Toglia 2022 · AA	23	38→39	48→55	49→45	42	193/265/335	142	287	16	9	37%	8%	70	-0.9	197/270/360	163	275	21	7	35%	9%	77	-0.3	202/279/386	184	273	24	7	34%	9%	83	+0.1

Career Stats + Projections

Career Comps

Career Path Comps