Luis Guillorme — OGILVIE

Luis Guillorme3B Sugar Land Space Cowboys

Age 31 L/R 5'10" / 190 lbs AAA H +4%HR -3% Svc 8.000 · Ctrl thru 2026

wRC+†69

AVG/OBP/SLG.211 / .301 / .291

PA276

HR2

K%22

BB%11

MLB%10%

Scouting · now → future

HIT

45→45

PWR

35→35

SPD

30→30

EYE

62↘60

trajectory · 10 yrs

-0.2peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$0.0M	-$1M

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	18	ROK	GCL Mets	182	165	36	3	0	0	11	25	2	6	4	.218	.275	.236	.512	.018	.257	14	6	.225	30	-14	-0	+0	+1	+5	-0.9
2014	19	ROK	Kingsport Mets	264	244	59	8	0	0	11	40	3	6	4	.242	.283	.275	.558	.033	.289	15	4	.240	42	-17	-0	+0	+1	+7	-1.0
2015	20	A	Savannah Sand Gnats	523	468	133	13	0	0	33	90	2	18	8	.284	.334	.312	.646	.028	.348	17	6	.283	75	-15	+0	+0	+2	+15	0.2
2016	21	A+	St. Lucie Mets	505	454	114	17	2	1	31	94	4	4	2	.251	.305	.304	.609	.053	.312	19	6	.264	60	-23	+0	+0	+2	+14	-0.7
2017	22	AA	2 teams	606	545	155	19	0	1	56	73	1	4	4	.284	.352	.325	.677	.040	.326	12	9	.303	90	-7	-1	+0	+2	+17	1.2
2018	23	AAA	2 teams	355	323	85	16	2	2	28	54	1	3	1	.263	.324	.344	.668	.080	.310	15	8	.295	84	-6	+0	-0	+1	+10	0.5
2019	24	AAA	2 teams	348	301	78	14	0	7	35	63	4	4	4	.259	.344	.375	.720	.116	.303	18	10	.318	102	+1	-1	-0	+4	+10	1.4
2020	25	MLB	New York Mets	68	57	20	6	0	0	10	17	0	2	0	.351	.448	.456	.904	.105	.488	25	15	.391	157	+4	+0	+3	+0	+2	1.0
2021	26	MLB	2 teams	184	156	41	3	0	1	25	25	1	0	2	.263	.368	.301	.669	.038	.305	14	14	.305	92	-2	-1	+1	+1	+5	0.4
2022	27	MLB	New York Mets	335	297	84	13	1	2	34	46	2	1	0	.283	.360	.354	.714	.071	.329	14	10	.316	100	+0	+0	+6	+1	+9	1.7
2023	28	MLB	3 teams	208	181	38	9	1	2	23	42	1	0	0	.210	.302	.304	.606	.094	.261	20	11	.271	65	-8	+0	-3	+1	+6	-0.5
2024	29	MLB	Arizona Diamondbacks	187	161	32	8	1	0	23	36	0	4	2	.199	.299	.261	.560	.062	.252	19	12	.252	51	-10	+0	+2	+1	+5	-0.2
2025	30	AAA	3 teams	315	278	57	8	0	2	35	79	1	3	2	.205	.296	.255	.552	.050	.278	25	11	.257	55	-16	-0	+1	+1	+9	-0.5
▸ 2026 Season
2026	31	MLB	HOU	276	243	52	11	1	2	30	61	1	3	1	.214	.303	.292	.595	.078	.273	22	11	.276	69	-10	+0	+1	+1	+8	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 20%	HOU	257	226	48	10	1	2	28	58	1	2	1	.212	.302	.292	.594	.080	.271	23	11	.271	65	-10	+0	-3	+1	+7	-0.5
2028	33	MLB 33%	HOU	227	199	40	8	1	1	25	53	1	1	0	.201	.293	.266	.560	.065	.269	23	11	.265	61	-10	+0	-4	+1	+6	-0.6
2029	34	MLB 43%	HOU	185	162	33	7	1	1	20	45	1	0	0	.204	.295	.278	.573	.074	.266	24	11	.259	56	-9	+0	-4	+1	+5	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			5025	4460	1105	173	11	24	458	901	26	61	35	.248	.321	.308	.629	.060	.304	18	9	.281	73	-152	-2	-2	+20	+142	0.7
/ 162G	—			650	577	142	22	1	3	59	117	3	8	5	.246	.319	.303	.623	.057	.302	18	9	.281	73	-20	-0	-0	+3	+18	0.1

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	18	ROK	GCL Mets	182	159	41	4	0	0	17	17	2	6	4	.258	.337	.283	.620	.025	.289	9	9	.285	77	-5	-0	—	—	+5	-0.0
2014	19	ROK	Kingsport Mets	264	238	67	10	0	0	17	28	3	6	4	.282	.337	.324	.661	.042	.319	11	6	.297	86	-4	-0	—	—	+7	0.3
2015	20	A	Savannah Sand Gnats	523	446	142	16	0	0	54	70	2	18	8	.318	.394	.354	.748	.036	.374	13	10	.332	112	+7	+0	—	—	+15	2.3
2016	21	A+	St. Lucie Mets	505	441	116	16	2	1	43	63	4	4	2	.263	.333	.315	.649	.052	.303	12	9	.290	80	-11	+0	—	—	+14	0.3
2017	22	AA	Binghamton Rumble Ponies	558	481	136	20	0	1	72	55	1	4	3	.283	.377	.331	.708	.048	.316	10	13	.328	109	+6	-0	—	—	+16	2.1
2017	22	INTL	Scottsdale Scorpions	48	45	13	3	0	0	3	1	0	0	1	.289	.333	.356	.689	.067	.295	2	6	.312	97	-0	-0	—	—	+1	0.1
2018	23	MLB	New York Mets	74	67	14	2	0	0	7	3	0	1	0	.209	.284	.239	.523	.030	.219	4	9	.247	48	-4	+0	-0	+1	+2	-0.1
2018	23	AAA	Las Vegas 51s	281	247	75	15	2	3	30	39	1	2	1	.304	.381	.417	.798	.113	.350	14	11	.356	131	+10	+0	—	—	+8	1.8
2019	24	MLB	New York Mets	70	61	15	4	0	1	7	14	0	0	0	.246	.324	.361	.684	.115	.304	20	10	.302	89	-1	+0	-0	+4	+2	0.5
2019	24	AAA	Syracuse Mets	278	228	70	12	0	7	39	42	4	4	4	.307	.415	.452	.867	.145	.346	15	14	.382	151	+16	-1	—	—	+8	2.3
2020	25	MLB	New York Mets	68	57	19	6	0	0	10	17	0	2	0	.333	.433	.439	.871	.105	.463	25	15	.389	156	+4	+0	+3	+0	+2	1.0
2021	26	MLB	New York Mets	156	132	35	3	0	1	23	23	0	0	2	.265	.374	.311	.685	.045	.315	15	15	.321	104	+1	-1	+1	+1	+4	0.6
2021	26	AAA	Syracuse Mets	28	23	7	0	0	0	3	2	1	0	0	.304	.407	.304	.712	.000	.318	7	11	.327	109	+0	+0	—	—	+1	0.1
2022	27	MLB	New York Mets	335	297	81	12	1	2	34	46	2	1	0	.273	.351	.340	.691	.067	.317	14	10	.317	101	+0	+0	+6	+1	+9	1.7
2023	28	MLB	New York Mets	120	107	24	6	1	1	10	28	0	0	0	.224	.291	.327	.618	.103	.291	23	8	.274	68	-4	+0	-3	+1	+3	-0.3
2023	28	AAA	Syracuse Mets	68	54	13	3	0	1	13	6	1	0	0	.241	.397	.352	.749	.111	.255	9	19	.351	127	+2	+0	—	—	+2	0.4
2023	28	AA	Binghamton Rumble Ponies	20	13	0	0	0	0	7	5	0	0	0	.000	.350	.000	.350	.000	.000	25	35	.244	45	-1	+0	—	—	+1	-0.1
2024	29	MLB	Arizona Diamondbacks	187	161	33	9	1	0	23	36	0	4	2	.205	.304	.273	.578	.068	.260	19	12	.268	63	-8	+0	+2	+1	+5	0.0
2025	30	MLB	Houston Astros	21	20	3	0	0	0	1	8	0	0	0	.150	.190	.150	.340	.000	.250	38	5	.163	-17	-3	+0	+1	+1	+1	0.0
2025	30	AAA	Sugar Land Space Cowboys	263	215	53	8	0	2	46	49	1	3	1	.247	.380	.312	.692	.065	.311	19	17	.328	109	+3	+0	—	—	+7	1.1
2025	30	INTL	Tiburones de La Guaira	31	26	5	1	0	0	4	3	0	0	1	.192	.300	.231	.531	.038	.208	10	13	.248	48	-2	-0	—	—	+1	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1031	902	224	42	3	5	115	175	2	8	4	.248	.335	.318	.653	.070	.302	17	11	.299	87	-15	+0	+8	+10	+29	3.3

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 Guillorme (OGILVIE)	31	45	35	30	60	.211/.301/.291	.080	.273	2	3	22%	11%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brian Jeroloman 2016 · AAA	31	41→38	38→40	38→40	50	.198/.274/.269	.071	.264	6	3	26%	9%	52	-1.6	.212/.289/.297	.085	.285	6	6	25%	9%	65	-0.7	.198/.284/.262	.064	.282	0	0	27%	10%	51	-0.4
✕Tony Wolters 2023 · MLB	31	43→53	38→40	41→45	43	.203/.274/.284	.080	.289	6	4	30%	7%	55	-1.4	.215/.294/.306	.091	.298	8	6	28%	9%	69	-0.4	.208/.308/.273	.064	.287	7	0	27%	10%	66	-0.2
✕Joey Wong 2018 · AAA	30	47→48	35→40	43→45	50	.219/.292/.278	.059	.281	3	4	22%	8%	61	-1.0	.220/.296/.314	.094	.292	9	6	26%	9%	72	-0.2	.190/.281/.314	.124	.256	14	0	30%	10%	63	-0.2
✕Gary Patchett 2010 · AAA	31	44	37→30	36→30	40	.212/.258/.279	.067	.278	5	4	25%	5%	46	-2.0	.214/.263/.291	.077	.290	6	5	27%	5%	52	-1.6	.206/.259/.241	.035	.298	2	0	30%	4%	37	-1.0
✕Ivan Bellazetin 2017 · AAA	30	51→52	40	39→55	43	.243/.282/.331	.088	.280	7	7	16%	4%	69	-0.4	.239/.281/.352	.113	.279	11	9	18%	5%	75	-0.0	.237/.278/.339	.103	.277	10	5	18%	4%	66	-0.2
✕Paul Janish 2015 · MLB	32	43→53	38→45	38→45	46	.205/.258/.282	.077	.249	5	3	20%	6%	46	-2.0	.215/.267/.272	.057	.257	3	4	17%	6%	48	-1.9	.213/.273/.254	.041	.251	2	2	15%	6%	43	-1.2
✕Valentin Gamez 2013 · AAA	30	53	37→40	39→40	48	.248/.297/.320	.072	.287	4	7	15%	6%	72	-0.2	.253/.300/.325	.072	.293	4	4	14%	6%	75	-0.0	.254/.305/.309	.055	.296	3	0	14%	6%	71	-0.1
✕Gregorio Petit 2016 · MLB	31	49→54	41→45	40→50	41	.236/.269/.334	.098	.282	8	4	20%	4%	65	-0.7	.232/.268/.328	.096	.289	7	6	21%	4%	63	-0.9	.236/.272/.313	.078	.295	4	7	21%	4%	57	-0.6
✕Paul Bako 2003 · MLB	31	48	42→45	42→40	53	.230/.304/.340	.110	.281	9	4	21%	10%	82	+0.5	.228/.305/.333	.105	.285	7	4	21%	10%	81	+0.4	.221/.295/.309	.088	.296	9	0	27%	9%	63	-0.3
✕Jackson Williams 2017 · MLB	31	42	37→45	40	45	.200/.256/.269	.070	.254	5	4	23%	7%	43	-2.2	.200/.251/.275	.075	.255	7	4	23%	6%	42	-2.3	.180/.234/.220	.040	.239	5	0	26%	5%	19	-1.4
✕Michael Ryan 2007 · MLB	30	45→49	42→50	38→30	44	.221/.265/.323	.103	.269	10	5	22%	6%	60	-1.0	.228/.267/.378	.150	.277	17	4	24%	5%	76	+0.1	.235/.274/.403	.168	.278	20	2	23%	5%	88	+0.5
✕Ramiro Pena 2016 · MLB	31	51→56	41→45	38→50	47	.247/.290/.346	.099	.282	8	4	16%	6%	76	+0.1	.246/.289/.352	.106	.288	9	8	17%	5%	78	+0.2	.268/.302/.392	.124	.300	13	7	15%	4%	92	+0.8
✕Luis Carlos Martinez 2006 · AAA	32	52	40	37→45	44	.252/.283/.343	.092	.284	8	8	15%	4%	72	-0.2	.259/.283/.345	.086	.286	8	9	12%	3%	73	-0.1	.270/.289/.340	.070	.296	6	8	11%	2%	70	-0.2
✕Efren Navarro 2017 · MLB	31	53→60	39→45	38→45	46	.250/.300/.337	.088	.310	6	3	21%	7%	79	+0.3	.243/.300/.345	.102	.308	9	3	23%	7%	81	+0.4	.246/.309/.349	.103	.311	10	1	23%	8%	85	+0.5
✕Mike Matheny 2003 · MLB	32	49→54	41→45	37→30	50	.235/.297/.327	.092	.273	8	2	17%	8%	76	+0.0	.241/.302/.351	.110	.281	10	2	17%	8%	83	+0.6	.242/.300/.364	.122	.283	11	0	18%	7%	72	-0.2
✕Ray Chang 2015 · AAA	31	48→56	36→40	40	45	.226/.272/.292	.066	.272	4	4	18%	5%	55	-1.4	.237/.285/.312	.075	.302	4	5	21%	6%	66	-0.6	.245/.295/.306	.061	.318	1	2	22%	6%	65	-0.3
✕Alberto Gonzalez 2014 · MLB	31	45→55	38→45	39→45	43	.215/.253/.289	.075	.252	6	4	18%	5%	46	-2.0	.226/.259/.308	.082	.256	7	6	14%	4%	53	-1.5	.239/.266/.313	.074	.260	5	5	10%	3%	55	-0.5
✕Jorge Velandia 2006 · MLB	31	49→53	40→45	43→45	49	.232/.288/.328	.096	.272	6	6	17%	7%	72	-0.2	.237/.277/.333	.096	.293	8	9	21%	5%	68	-0.5	.230/.274/.315	.085	.290	7	8	23%	5%	58	-0.9
✕Sharlon Schoop 2017 · AAA	30	43→44	39→40	40→45	42	.209/.255/.293	.083	.270	7	3	25%	5%	48	-1.9	.215/.268/.335	.120	.275	13	5	26%	6%	66	-0.6	.201/.262/.337	.136	.248	16	0	26%	6%	61	-0.2
✕Argenis Diaz 2017 · AAA	30	48→52	36→40	41→50	42	.226/.265/.288	.061	.282	4	5	21%	5%	50	-1.7	.223/.266/.300	.077	.283	6	6	22%	5%	55	-1.4	.216/.264/.272	.055	.280	4	2	23%	5%	43	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)