Luis Guillorme

2B Sugar Land Space Cowboys

Age 32 L/R 5'10" / 190 lbs AAA HR -6% Svc 9.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	28	AAA/AANYM	88	.194/.386/.284	1	0	64	—	.170/.307/.249
2023	28	MLBNYM	120	.224/.291/.327	1	0	73	-0.4
2024	29	MLBARI	187	.205/.304/.273	0	4	61	-0.2
2025	30	AAA/INTL2 orgs	294	.241/.372/.303	2	3	63	—	.214/.300/.261
2025	30	MLBHOU	21	.150/.190/.150	0	0	-4	0.0
2026	31	No MLB games played
2027PROJ10% MLB	32	MLBHOU	21	.220/.308/.302	0	0	74	-0.0
2028PROJ27% MLB	33	MLBHOU	49	.212/.298/.283	0	0	66	-0.2

Last 3 seasons WAR -0.6 · Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service9.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

xwOBA13

Barrel%10

Avg EV10

Speed10

Bat Spd10

CompsBrian Jeroloman (age 31) · Paul Janish (age 32) · Paul Bako (age 32)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†74

AVG/OBP/SLG.220 / .308 / .302

PA21

HR0

K%24

BB%10

BABIP282

ISO53

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 45 / POW 35

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT45

xAVG

100.213

POWER35

Barrel%

101.8

Avg EV

1085.8

Bat Spd

1067.1

EYE60

scouting grade only

SPEED30

Sprint

1024.0

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

Status FA

MLB Debut 2018

Service 9.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$0.0M	-$1M

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. 2027 = full-season projection (no games played yet). 2028+ 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)
2013	18	ROK	GCL Mets	—	182	159	41	4	0	0	17	17	2	6	4	258	337	283	620	25	289	9	9	285	39	—	—	—	—	—	—
2014	19	ROK	Kingsport Mets	—	264	238	67	10	0	0	17	28	3	6	4	282	337	324	661	42	319	11	6	297	48	—	—	—	—	—	—
2015	20	A	Savannah Sand Gnats	—	523	446	142	16	0	0	54	70	2	18	8	318	394	354	748	36	374	13	10	332	90	—	—	—	—	—	—
2016	21	A+	St. Lucie Mets	—	505	441	116	16	2	1	43	63	4	4	2	263	333	315	649	52	303	12	9	290	67	—	—	—	—	—	—
2017	22	AA	Binghamton Rumble Ponies	—	558	481	136	20	0	1	72	55	1	4	3	283	377	331	708	48	316	10	13	328	97	—	—	—	—	—	—
2017	22	INTL	Scottsdale Scorpions	—	48	45	13	3	0	0	3	1	0	0	1	289	333	356	689	67	295	2	6	312	98	—	—	—	—	—	—
2018	23	MLB	New York Mets	—	74	67	14	2	0	0	7	3	0	1	0	209	284	239	523	30	219	4	9	247	58	-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	103	—	—	—	—	—	—
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	96	-0	+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	110	—	—	—	—	—	—
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	157	+5	+0	+3	+0	+1	1.0
2021	26	MLB	New York Mets	—	156	132	35	3	0	1	23	23	0	0	2	265	374	311	685	45	315	15	15	321	101	+0	-1	+1	+1	+3	0.4
2021	26	AAA	Syracuse Mets	—	28	23	7	0	0	0	3	2	1	0	0	304	407	304	712		318	7	11	327	88	—	—	—	—	—	—
2022	27	MLB	New York Mets	—	335	297	81	12	1	2	34	46	2	1	0	273	351	340	691	67	317	14	10	317	104	+2	+0	+6	+1	+7	1.6
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	73	-4	+0	-3	+1	+3	-0.4
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	84	—	—	—	—	—	—
2023	28	AA	Binghamton Rumble Ponies	—	20	13	0	0	0	0	7	5	0	0	0		350		350			25	35	244	-6	—	—	—	—	—	—
2024	29	MLB	Arizona Diamondbacks	—	187	161	33	9	1	0	23	36	0	4	2	205	304	273	578	68	260	19	12	268	61	-9	+0	+2	+1	+4	-0.2
2025	30	MLB	Houston Astros	—	21	20	3	0	0	0	1	8	0	0	0	150	190	150	340		250	38	5	163	-4	-3	+0	+1	+1	+0	0.0
2025	30	AAA	Sugar Land Space Cowboys	—	263	215	53	8	0	2	46	49	1	3	1	247	380	312	692	65	311	19	17	328	64	—	—	—	—	—	—
2025	30	INTL	Tiburones de La Guaira	—	31	26	5	1	0	0	4	3	0	0	1	192	300	231	531	38	208	10	13	248	54	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1031	902	224	42	3	5	115	175	2	8	4	248	335	318	653	70	302	17	11	299	89	-14	+0	+8	+10	+22	2.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	GCL Mets	—	182	165	36	3	0	0	11	25	2	6	4	218	275	236	512	18	247	14	6	226	39	—	—	—	—	—	—
2014	19	ROK MLE	Kingsport Mets	—	264	244	58	8	0	0	11	40	3	6	4	238	279	270	550	33	275	15	4	239	48	—	—	—	—	—	—
2015	20	A MLE	Savannah Sand Gnats	—	523	464	141	14	0	0	37	92	2	18	8	304	358	334	692	30	357	18	7	301	90	—	—	—	—	—	—
2016	21	A+ MLE	St. Lucie Mets	—	505	453	115	17	2	1	32	93	4	4	2	254	309	307	616	53	300	18	6	267	67	—	—	—	—	—	—
2017	22	AA MLE	Binghamton Rumble Ponies	—	558	501	147	18	0	1	52	64	1	4	3	293	361	335	696	42	331	11	9	312	97	—	—	—	—	—	—
2018	23	MLB MLE	New York Mets	—	74	67	14	2	0	0	7	3	0	1	0	209	284	239	523	30	219	4	9	253	58	-4	+0	-0	+1	+2	-0.1
2018	23	AAA MLE	Las Vegas 51s	—	281	256	74	15	2	2	21	51	1	2	1	289	345	387	732	98	345	18	7	320	103	—	—	—	—	—	—
2019	24	MLB MLE	New York Mets	—	70	61	15	4	0	1	7	14	0	0	0	246	324	361	684	115	304	20	10	310	96	-0	+0	-0	+4	+2	0.5
2019	24	AAA MLE	Syracuse Mets	—	278	239	65	10	0	7	29	49	4	4	4	272	360	402	762	130	303	18	10	331	110	—	—	—	—	—	—
2020	25	MLB MLE	New York Mets	—	68	57	19	6	0	0	10	17	0	2	0	333	433	439	871	105	463	25	15	400	157	+5	+0	+3	+0	+1	1.0
2021	26	MLB MLE	New York Mets	—	156	134	36	3	0	1	21	23	0	0	2	269	368	313	681	45	315	15	13	318	101	+0	-1	+1	+1	+3	0.4
2021	26	AAA MLE	Syracuse Mets	—	28	24	7	0	0	0	2	2	1	0	0	292	370	292	662		288	7	7	299	88	—	—	—	—	—	—
2022	27	MLB MLE	New York Mets	—	335	298	84	13	1	2	33	46	2	1	0	282	357	352	710	70	317	14	10	322	104	+2	+0	+6	+1	+7	1.6
2023	28	MLB MLE	New York Mets	—	120	108	24	6	1	1	9	28	0	0	0	222	282	324	606	102	291	23	8	276	73	-4	+0	-3	+1	+3	-0.4
2023	28	AAA MLE	Syracuse Mets	—	68	59	13	3	0	1	8	7	1	0	0	220	324	322	646	102	240	10	12	293	84	—	—	—	—	—	—
2023	28	AA MLE	Binghamton Rumble Ponies	—	20	15	0	0	0	0	5	6	0	0	0		250		250			30	25	160	-6	—	—	—	—	—	—
2024	29	MLB MLE	Arizona Diamondbacks	—	187	161	32	8	1	0	23	36	0	4	2	199	299	261	560	62	260	19	12	258	61	-9	+0	+2	+1	+4	-0.2
2025	30	MLB MLE	Houston Astros	—	21	20	3	0	0	0	1	8	0	0	0	150	190	150	340		250	38	5	162	-4	-3	+0	+1	+1	+0	0.0
2025	30	AAA MLE	Sugar Land Space Cowboys	—	263	234	50	8	0	1	28	59	1	3	1	214	300	261	561	47	282	22	11	263	64	—	—	—	—	—	—
2013	18	ROK MLE	GCL Mets	—	182	165	36	3	0	0	11	25	2	6	4	218	275	236	512	18	257	14	6	226	39	—	—	—	—	—	—
2013	18	ROK RAW	GCL Mets	—	182	159	41	4	0	0	17	17	2	6	4	258	337	283	620	25	289	9	9	285	39	—	—	—	—	—	—
2014	19	ROK MLE	Kingsport Mets	—	264	244	58	8	0	0	11	40	3	6	4	238	279	270	550	33	284	15	4	239	48	—	—	—	—	—	—
2014	19	ROK RAW	Kingsport Mets	—	264	238	67	10	0	0	17	28	3	6	4	282	337	324	661	42	319	11	6	297	48	—	—	—	—	—	—
2015	20	A MLE	Savannah Sand Gnats	—	523	464	141	14	0	0	37	92	2	18	8	304	358	334	692	30	375	18	7	301	90	—	—	—	—	—	—
2015	20	A RAW	Savannah Sand Gnats	—	523	446	142	16	0	0	54	70	2	18	8	318	394	354	748	36	374	13	10	332	90	—	—	—	—	—	—
2016	21	A+ MLE	St. Lucie Mets	—	505	453	115	17	2	1	32	93	4	4	2	254	309	307	616	53	315	18	6	267	67	—	—	—	—	—	—
2016	21	A+ RAW	St. Lucie Mets	—	505	441	116	16	2	1	43	63	4	4	2	263	333	315	649	52	303	12	9	290	67	—	—	—	—	—	—
2017	22	AA MLE	2 teams	—	606	544	160	20	0	1	57	70	1	4	4	294	362	336	699	42	335	12	9	312	97	—	—	—	—	—	—
2017	22	AA RAW	2 teams	—	606	526	149	23	0	1	75	56	1	4	4	283	374	333	706	49	314	9	12	326	97	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	355	323	88	17	2	2	28	54	1	3	1	272	332	356	688	84	321	15	8	306	93	—	—	—	—	—	—
2018	23	AAA RAW	2 teams	—	355	314	89	17	2	3	37	42	1	3	1	283	361	379	740	96	319	12	10	334	93	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	348	300	81	14	0	8	36	63	4	4	4	270	356	397	753	127	315	18	10	327	107	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	348	289	85	16	0	8	46	56	4	4	4	294	397	433	830	138	338	16	13	366	107	—	—	—	—	—	—
2020	25	MLB MLE	New York Mets	—	68	57	19	6	0	0	10	17	0	2	0	333	433	439	871	105	463	25	15	400	157	+5	+0	+3	+0	+1	1.0
2020	25	MLB RAW	New York Mets	—	68	57	19	6	0	0	10	17	0	2	0	333	433	439	871	105	463	25	15	389	157	+5	+0	+3	+0	+1	1.0
2021	26	MLB MLE	2 teams	—	184	158	43	3	0	1	23	25	1	0	2	272	368	310	678	38	316	14	12	315	99	-0	-1	+1	+1	+4	0.5
2021	26	MLB RAW	2 teams	—	184	155	42	3	0	1	26	25	1	0	2	271	379	310	689	39	315	14	14	322	99	-0	-1	+1	+1	+4	0.5
2022	27	MLB MLE	New York Mets	—	335	298	84	13	1	2	33	46	2	1	0	282	357	352	710	70	328	14	10	322	104	+2	+0	+6	+1	+7	1.6
2022	27	MLB RAW	New York Mets	—	335	297	81	12	1	2	34	46	2	1	0	273	351	340	691	67	317	14	10	317	104	+2	+0	+6	+1	+7	1.6
2023	28	MLB MLE	3 teams	—	208	182	38	9	1	2	22	42	1	0	0	209	298	302	600	93	259	20	11	270	69	-8	+0	-3	+1	+5	-0.6
2023	28	MLB RAW	3 teams	—	208	174	37	9	1	2	30	39	1	0	0	213	332	310	642	98	261	19	14	296	69	-8	+0	-3	+1	+5	-0.6
2024	29	MLB MLE	Arizona Diamondbacks	—	187	161	32	8	1	0	23	36	0	4	2	199	299	261	560	62	252	19	12	258	61	-9	+0	+2	+1	+4	-0.2
2024	29	MLB RAW	Arizona Diamondbacks	—	187	161	33	9	1	0	23	36	0	4	2	205	304	273	578	68	260	19	12	268	61	-9	+0	+2	+1	+4	-0.2
2025	30	AAA MLE	3 teams	—	315	280	60	9	0	2	33	75	1	3	2	214	299	268	567	54	284	24	10	256	59	—	—	—	—	—	—
2025	30	AAA RAW	3 teams	—	315	261	61	9	0	2	51	60	1	3	2	234	360	291	651	57	295	19	16	309	59	—	—	—	—	—	—
2013	18	ROK MLE	GCL Mets	—	182	167	36	3	0	0	11	25	2	6	4	216	275	234	509	18	247	14	6	226	39	—	—	—	—	—	—
2014	19	ROK MLE	Kingsport Mets	—	264	248	58	8	0	0	11	40	3	6	4	234	279	266	545	32	275	15	4	239	48	—	—	—	—	—	—
2015	20	A MLE	Savannah Sand Gnats	—	523	479	141	14	0	0	37	92	2	18	8	294	358	324	681	29	357	18	7	301	90	—	—	—	—	—	—
2016	21	A+ MLE	St. Lucie Mets	—	505	464	115	17	2	1	32	93	4	4	2	248	309	300	608	52	300	18	6	267	67	—	—	—	—	—	—
2017	22	AA MLE	2 teams	—	606	543	160	20	0	1	57	70	1	4	4	295	362	337	699	42	331	12	9	312	97	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	355	323	88	17	2	2	28	54	1	3	1	272	332	356	688	84	319	15	8	306	93	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	348	305	81	14	0	8	36	63	4	4	4	266	356	390	746	125	303	18	10	327	107	—	—	—	—	—	—
2020	25	MLB MLE	New York Mets	—	68	58	19	6	0	0	10	17	0	2	0	328	433	431	864	103	463	25	15	400	157	—	—	—	—	—	—
2021	26	MLB MLE	2 teams	—	184	158	43	3	0	1	23	25	1	0	2	272	368	310	678	38	311	14	12	315	99	—	—	—	—	—	—
2022	27	MLB MLE	New York Mets	—	335	297	84	13	1	2	33	46	2	1	0	283	357	354	711	71	317	14	10	322	104	—	—	—	—	—	—
2023	28	MLB MLE	3 teams	—	208	183	38	9	1	2	22	42	1	0	0	208	298	301	598	93	246	20	11	270	69	—	—	—	—	—	—
2024	29	MLB MLE	Arizona Diamondbacks	—	187	162	32	8	1	0	23	36	0	4	2	198	299	259	558	62	260	19	12	258	61	—	—	—	—	—	—
2025	30	AAA MLE	3 teams	—	315	278	60	9	0	2	33	75	1	3	2	216	299	270	569	54	280	24	10	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	MLB MLE	Arizona Diamondbacks	—	187	162	32	8	1	0	23	36	0	4	2	198	299	259	558	62	260	19	12	258	61	—	—	—	—	—	—
2025	30	AAA MLE	3 teams	—	315	278	60	9	0	2	33	75	1	3	2	216	299	270	569	54	280	24	10	256	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	HOU	10%	318	280	61	12	1	3	34	70	1	4	2	217	305	297	601	79	278	22	11	277	74	-10	+0	+0	+1	+7	0.0
▸ 2027 — real world (MLB)
2027	32	MLB CTX	HOU	10%	21	19	4	1	0	0	2	5	0	0	0	220	308	302	609	81	282	24	10	281	74	-1	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	HOU	27%	181	159	33	6	1	1	19	41	1	1	1	209	296	278	574	69	270	23	10	266	66	-7	-0	-4	+1	+4	-0.7
2028	33	MLB CTX	HOU	27%	49	44	9	2	0	0	5	11	0	0	0	212	298	283	582	71	275	22	10	269	66	-2	+0	-1	+0	+1	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1080	946	233	44	3	5	120	186	2	8	4	246	332	315	647	69	300	17	11	298	82	-16	+0	+7	+10	+23	2.5
/ 162G	—	A+C		—	650	569	140	26	2	3	72	112	1	5	2	246	331	315	646	69	300	17	11	298	82	-10	+0	+4	+6	+14	1.5
Career	—	MLE		—	4469	3971	1028	155	9	22	397	765	24	59	35	259	330	319	649	60	314	17	9	289	82	-28	+0	+4	+11	+31	1.9
/ 162G	—	MLE		—	650	578	149	23	1	3	58	111	3	9	5	258	329	317	645	59	313	17	9	289	82	-13	+0	+2	+5	+14	0.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAASugar Land Space Cowboys · 263 PAwOBA .319 → .263 (−56)K% 18.6% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.63%	÷0.995	×1.200	—	—	22.48%
BB% (unintentional) /PA	17.11%	÷1.056	×0.690	—	×0.962	10.76%
HBP% /PA	0.38%	—	×0.940	—	×0.962	0.34%
Singles /BIP	25.90%	÷1.012	×0.930	×1.028	×0.962	23.54%
Doubles /BIP	4.82%	÷0.891	×0.830	×1.028	×0.962	4.44%
Triples /BIP	0.00%	÷0.900	×0.970	×1.028	×0.962	0.00%
Home runs /BIP	1.20%	÷0.961	×0.700	—	×0.962	0.84%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 102, 2B 78, 3B 80, K 99, BB 111 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .319 → .263; ISO .065 → .057; BABIP .311 → .282. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAASyracuse Mets · 68 PAwOBA .338 → .293 (−45)K% 8.8% → 11.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.82%	÷0.961	×1.200	—	—	11.02%
BB% (unintentional) /PA	17.65%	÷0.967	×0.690	—	×0.982	12.36%
HBP% /PA	1.47%	—	×0.940	—	×0.982	1.36%
Singles /BIP	18.75%	÷0.997	×0.930	×1.043	×0.982	17.91%
Doubles /BIP	6.25%	÷0.933	×0.830	×1.043	×0.982	5.70%
Triples /BIP	0.00%	÷1.150	×0.970	×1.043	×0.982	0.00%
Home runs /BIP	2.08%	÷1.003	×0.700	—	×0.982	1.43%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .338 → .293; ISO .111 → .095; BABIP .255 → .240. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AABinghamton Rumble Ponies · 20 PAwOBA .241 → .160 (−82)K% 25.0% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.002	×1.220	—	—	30.45%
BB% (unintentional) /PA	35.00%	÷1.015	×0.700	—	×0.958	23.12%
HBP% /PA	0.00%	—	×0.850	—	×0.958	0.00%
Singles /BIP	0.00%	÷0.993	×0.970	—	×0.958	0.00%
Doubles /BIP	0.00%	÷1.032	×0.860	—	×0.958	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.958	0.00%
Home runs /BIP	0.00%	÷0.925	×0.780	—	×0.958	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 99, 2B 106, 3B 130, K 100, BB 103 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .241 → .160; ISO .000 → .000; BABIP .000 → .000. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAASyracuse Mets · 28 PAwOBA .332 → .299 (−33)K% 7.1% → 8.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.14%	÷0.966	×1.200	—	—	8.87%
BB% (unintentional) /PA	10.71%	÷1.006	×0.690	—	×1.003	7.37%
HBP% /PA	3.57%	—	×0.940	—	×1.003	3.37%
Singles /BIP	33.33%	÷1.032	×0.930	—	×1.003	30.12%
Doubles /BIP	0.00%	÷0.897	×0.830	—	×1.003	0.00%
Triples /BIP	0.00%	÷0.986	×0.920	—	×1.003	0.00%
Home runs /BIP	0.00%	÷1.039	×0.700	—	×1.003	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .332 → .299; ISO .000 → .000; BABIP .318 → .288. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAASyracuse Mets · 278 PAwOBA .377 → .331 (−46)K% 15.1% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.11%	÷1.020	×1.200	—	—	17.78%
BB% (unintentional) /PA	14.03%	÷0.966	×0.690	—	×1.033	10.36%
HBP% /PA	1.44%	—	×0.940	—	×1.033	1.40%
Singles /BIP	27.42%	÷1.042	×0.930	×0.974	×1.033	24.64%
Doubles /BIP	6.45%	÷1.060	×0.830	×0.974	×1.033	5.08%
Triples /BIP	0.00%	÷0.900	×0.970	×0.974	×1.033	0.00%
Home runs /BIP	3.76%	÷0.960	×0.840	—	×1.033	3.40%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .377 → .331; ISO .145 → .131; BABIP .346 → .303. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAALas Vegas 51s · 281 PAwOBA .349 → .320 (−29)K% 13.9% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.88%	÷0.986	×1.290	—	—	18.16%
BB% (unintentional) /PA	10.68%	÷1.039	×0.710	—	×1.048	7.65%
HBP% /PA	0.36%	—	×0.980	—	×1.048	0.37%
Singles /BIP	26.44%	÷0.992	×0.900	×1.050	×1.048	26.41%
Doubles /BIP	7.21%	÷0.918	×0.810	×1.050	×1.048	7.00%
Triples /BIP	0.96%	÷0.959	×0.810	×1.050	×1.048	0.89%
Home runs /BIP	1.44%	÷1.009	×0.780	—	×1.048	1.17%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .349 → .320; ISO .113 → .103; BABIP .350 → .345. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 AABinghamton Rumble Ponies · 558 PAwOBA .321 → .312 (−9)K% 9.9% → 11.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.86%	÷1.046	×1.220	—	—	11.50%
BB% (unintentional) /PA	12.90%	÷0.986	×0.700	—	×1.027	9.41%
HBP% /PA	0.18%	—	×0.850	—	×1.027	0.16%
Singles /BIP	27.00%	÷0.971	×0.970	×1.050	×1.027	29.08%
Doubles /BIP	4.69%	÷1.056	×0.860	×1.050	×1.027	4.12%
Triples /BIP	0.00%	÷1.150	×0.950	×1.050	×1.027	0.00%
Home runs /BIP	0.23%	÷1.365	×0.780	—	×1.027	0.14%

Factors used: league row EL. Park (home-season share, regressed): HR 173, 1B 94, 2B 111, 3B 130, K 109, BB 97 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .321 → .312; ISO .048 → .042; BABIP .316 → .331. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 A+St. Lucie Mets · 505 PAwOBA .285 → .267 (−18)K% 12.5% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.48%	÷0.959	×1.420	—	—	18.48%
BB% (unintentional) /PA	8.51%	÷1.032	×0.750	—	×1.012	6.26%
HBP% /PA	0.79%	—	×0.930	—	×1.012	0.75%
Singles /BIP	25.66%	÷0.994	×0.920	×1.050	×1.012	25.24%
Doubles /BIP	4.23%	÷0.956	×0.960	×1.050	×1.012	4.52%
Triples /BIP	0.53%	÷1.017	×0.810	×1.050	×1.012	0.45%
Home runs /BIP	0.26%	÷0.943	×0.880	—	×1.012	0.25%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 99, 2B 91, 3B 103, K 92, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .285 → .267; ISO .052 → .053; BABIP .303 → .300. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ramon Santiagolast yr '14 career totals — 11 seasons, 2,736 PA	4.1	2,736	30	30	244	314	332	+18	+31	7.4	7.8
/162	664	7	7	+4.4	+7.4	1.8	pk7: 8
#2Craig Grebeck'90-'01 * career totals — 11 seasons, 2,298 PA	3.5	2,298	19	4	252*	330*	358*	+13	+14	6.5	7.4
/162	664	5	1	+3.8	+4.2	1.9	pk7: 8
#3Eric Sogardlast yr '21 career totals — 10 seasons, 2,484 PA	3.7	2,484	26	46	246	312	337	+10	+22	6.0	6.6
/162	664	7	12	+2.7	+5.9	1.6	pk7: 7
#4Ehire Adrianzalast yr '22 career totals — 9 seasons, 1,519 PA	2.3	1,519	20	19	240	310	353	+10	+13	4.0	4.4
/162	664	9	8	+4.2	+5.5	1.8	pk7: 5
#5Bobby Valentine'71-'79 * career totals — 9 seasons, 1,909 PA	2.9	1,909	12	27	258*	316*	358*	+2	+1	3.1	3.8
/162	664	4	9	+0.6	+0.2	1.1	pk7: 4
#6Rene Gonzales'84-'97 * career totals — 8 seasons, 1,756 PA	2.6	1,756	19	23	236*	311*	337*	+4	+11	1.9	2.8
/162	664	7	9	+1.6	+4.2	0.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	1.6	1,080	5	8	248	331	320	+4	+10	1.9	1.9
/162	664	3	5	+2.4	+6.1	1.2	pk7: 2

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)	32	45	35	30	60	215/302/294	79	278	2	3	22%	11%	74	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brian Jeroloman 2016 · AAA	31	40→39	37→40	38→40	50	194/270/261	67	251	6	3	24%	9%	53	-2.1	211/285/297	86	281	6	7	25%	9%	67	-1.1	190/272/252	62	266	0	0	26%	9%	50	-0.5
✕Paul Janish 2015 · MLB	32	42→52	37→45	37→45	45	201/250/274	73	245	4	3	20%	6%	48	-2.5	208/260/264	56	247	3	4	16%	6%	49	-2.4	202/259/243	41	238	2	2	15%	6%	42	-1.6
✕Paul Bako 2004 · MLB	32	48	41→45	41→40	50	228/293/336	108	280	7	3	20%	8%	79	-0.2	221/289/312	91	282	6	5	22%	8%	72	-0.7	217/284/304	87	290	9	0	27%	8%	68	-0.4
✕Mike Matheny 2003 · MLB	32	48→52	40→45	36→30	48	230/283/318	88	264	8	3	17%	6%	71	-0.8	236/281/346	110	274	10	2	18%	5%	76	-0.4	232/270/358	125	271	12	0	19%	4%	76	-0.3
✕Jesus Rivera 2010 · AAA	32	52	40	41→40	52	247/302/341	94	268	7	5	12%	7%	83	+0.1	235/281/320	85	257	7	4	11%	6%	70	-0.8	259/304/311	52	303	1	4	14%	5%	76	-0.2
✕Luis Carlos Martinez 2006 · AAA	32	51	39→40	36→45	44	245/277/328	83	276	6	8	14%	4%	70	-0.8	247/271/324	77	273	6	9	12%	3%	66	-1.1	252/270/313	61	277	5	8	11%	2%	60	-0.8
✕Mark Johnson 2008 · AAA	32	50	40	40	56	237/315/323	86	268	7	4	14%	10%	84	+0.2	223/297/297	74	265	6	7	17%	8%	72	-0.7	226/300/268	42	267	2	2	15%	9%	63	-0.6
✕Tony Wolters 2023 · MLB	31	44→53	38→40	41→45	44	208/276/286	79	289	5	4	28%	7%	61	-1.5	216/296/309	93	295	8	6	27%	9%	74	-0.5	200/300/260	60	274	6	0	26%	10%	64	-0.5
✕Chris Heintz 2007 · MLB	32	51→52	40	36→40	42	246/277/336	91	296	7	3	20%	4%	72	-0.7	229/267/306	77	277	6	5	19%	5%	61	-1.5	220/258/270	50	265	3	1	18%	4%	48	-0.9
✕Kevin Flores 2017 · AAA	32	50→49	38→40	40→45	42	237/281/314	77	291	5	5	20%	5%	69	-0.9	212/259/279	67	265	4	7	21%	5%	53	-2.1	189/231/221	32	240	0	4	20%	4%	26	-1.3
✕Valentin Gamez 2015 · AAA	32	54	36→40	39→40	49	256/304/322	66	293	3	4	14%	6%	78	-0.3	222/270/289	67	270	4	5	18%	5%	59	-1.7	200/244/242	42	248	2	1	19%	4%	37	-0.8
✕Efren Navarro 2018 · MLB	32	49→59	41→45	38→45	47	237/294/332	95	296	8	3	22%	7%	78	-0.3	237/293/348	111	301	11	6	24%	7%	82	-0.0	247/291/343	96	313	9	0	24%	6%	80	-0.0
✕Hector Paez 2010 · AAA	32	49	43→45	36→40	41	241/275/350	110	270	11	4	16%	3%	76	-0.4	220/248/313	93	240	10	6	13%	3%	56	-1.9	223/254/311	88	241	10	2	12%	2%	57	-0.7
✕Ramiro Pena 2016 · MLB	31	51→55	40→45	38→50	46	243/283/338	95	277	8	4	16%	5%	75	-0.5	243/286/351	108	285	9	8	18%	5%	79	-0.2	258/290/371	114	289	11	7	15%	3%	85	+0.1
●Oscar Robles 2008 · MLB	32	52→62	37→40	36→50	53	245/300/319	74	265	5	3	10%	7%	76	-0.4	253/307/333	80	274	6	6	10%	7%	82	+0.0	292/342/378	86	308	6	9	7%	7%	106	+1.4
✕Luis Figueroa 2006 · AAA	32	51→55	41→40	37→45	49	243/281/343	100	254	9	5	9%	5%	75	-0.5	243/277/330	87	262	6	8	10%	4%	71	-0.8	247/278/317	69	262	3	2	7%	4%	65	-0.7
✕Gonzalo Meza 2011 · AAA	32	54	38→45	38→40	50	257/307/338	81	292	6	4	14%	7%	84	+0.1	232/295/313	81	283	6	6	19%	8%	74	-0.5	220/299/259	40	270	3	0	18%	10%	63	-0.5
✕Luke Carlin 2013 · MLB	32	44	40→45	43→45	53	212/287/302	90	253	8	5	20%	9%	70	-0.9	196/272/285	89	244	8	7	22%	9%	60	-1.6	167/252/243	76	211	6	5	23%	9%	41	-1.2
✕Fernando Rios 2010 · AAA	31	50	38→40	41→50	50	236/293/312	76	269	5	9	14%	7%	73	-0.6	236/288/320	84	273	7	8	16%	6%	73	-0.6	246/291/300	54	272	5	3	11%	6%	66	-0.3
✕Matt Erickson 2007 · AAA	32	49	37→40	45	46	229/291/295	65	280	5	8	19%	6%	69	-0.9	237/295/321	84	288	6	9	19%	6%	76	-0.4	253/309/320	67	304	2	6	16%	6%	78	-0.1

Luis Guillorme

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps