Wilmer Flores

1B San Francisco Giants

Age 35 R/R 6'3" / 225 lbs MLB HR -15%H -3% Svc 14.000 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	31	INTLNavegantes de…	96	.305/.406/.427	1	0	142	—
2023	31	MLBSF	454	.284/.357/.509	23	0	148	2.3
2024	32	MLBSF	242	.206/.283/.318	4	0	69	-1.0
2025	33	MLBSF	463	.241/.309/.379	16	1	100	0.0
2026	34	No MLB games played
2027PROJ	35	MLBSF	254	.231/.301/.372	7	2	95	0.0
2028PROJ	36	MLBSF	183	.218/.287/.345	5	0	83	-0.9

Last 3 seasons WAR 1.3 · Next 2 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service14.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

xwOBA46

Barrel%35

Avg EV10

Speed10

Bat Spd10

CompsEdgard Clemente (age 34) · Leobardo Arauz (age 36) · Izzy Alcantara (age 34)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9695vR 90

AVG/OBP/SLG.231 / .301 / .372

PA254

HR7

K%19

BB%7

BABIP259

ISO139

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2023-2025

CONTACT

xAVG

300.235

POWER

Barrel%

356.2

Avg EV

1085.6

Bat Spd

1065.5

SPEED

Sprint

1024.5

Platoon Splits2024-2025 · 705 PA

vs LHP

vs RHP

Edge

259

446

—

wRC+

▶R

wOBA

284

296

▶R

ISO

143

121

◀◀L

BABIP

242

256

▶R

16.2%

17.7%

◀L

BB%

6.2%

8.3%

▶▶R

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

Status FA

MLB Debut 2013

Service 14.000 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)
2008	16	ROK	Kingsport Mets	—	265	245	76	12	4	8	12	28	5	2	1	310	355	490	845	180	322	11	5	368	76	—	—	—	—	—	—
2009	17	A	Savannah Sand Gnats	—	528	488	129	20	2	3	22	72	9	3	3	264	308	332	640	68	301	14	4	286	52	—	—	—	—	—	—
2010	18	A+	St. Lucie Mets	—	290	277	83	18	1	4	9	40	2	2	4	300	326	415	742	116	336	14	3	328	80	—	—	—	—	—	—
2010	18	A	Savannah Sand Gnats	—	307	277	77	18	2	7	23	37	5	2	1	278	344	433	777	155	298	12	7	345	86	—	—	—	—	—	—
2010	18	INTL	Bravos de Margarita	—	116	103	33	6	0	2	7	14	2	1	0	320	375	437	812	117	344	12	6	352	124	—	—	—	—	—	—
2011	19	A+	St. Lucie Mets	—	559	516	139	26	2	9	27	68	6	2	2	269	313	380	693	110	291	12	5	306	64	—	—	—	—	—	—
2011	19	INTL	Bravos de Margarita	—	152	133	40	6	0	2	17	26	1	2	0	301	384	391	775	90	358	17	11	351	124	—	—	—	—	—	—
2012	20	AA	Binghamton Mets	—	275	251	78	18	2	8	20	30	1	0	0	311	364	494	858	183	326	11	7	374	111	—	—	—	—	—	—
2012	20	A+	St. Lucie Mets	—	272	242	70	12	0	10	18	30	3	3	2	289	346	463	809	174	286	11	7	347	86	—	—	—	—	—	—
2012	20	INTL	Bravos de Margarita	—	218	195	53	10	1	5	17	30	3	0	1	272	340	410	750	138	298	14	8	332	111	—	—	—	—	—	—
2013	21	MLB	New York Mets	—	101	95	20	5	0	1	5	23	0	0	0	211	250	295	545	84	264	23	5	244	56	-5	+0	+1	+2	+2	0.1
2013	21	AAA	Las Vegas 51s	—	463	424	136	36	4	15	25	63	3	1	3	321	363	531	893	210	342	14	5	382	103	—	—	—	—	—	—
2013	21	INTL	Bravos de Margarita	—	99	88	33	6	0	3	9	10	1	0	2	375	439	545	984	170	395	10	9	431	178	—	—	—	—	—	—
2014	22	MLB	New York Mets	—	274	259	65	13	1	6	12	31	1	1	0	251	287	378	665	127	265	11	4	294	87	-4	+0	+6	+7	+6	1.5
2014	22	AAA	Las Vegas 51s	—	241	220	71	11	2	13	16	39	1	0	2	323	371	568	939	245	339	16	7	403	112	—	—	—	—	—	—
2014	22	INTL	Bravos de Margarita	—	96	90	29	3	0	6	3	13	3	3	0	322	365	556	920	233	324	14	3	403	159	—	—	—	—	—	—
2015	23	MLB	New York Mets	—	510	483	127	22	0	16	19	63	4	0	1	263	296	408	704	145	273	12	4	310	99	-0	-0	+4	+6	+11	2.0
2015	23	INTL	Bravos de Margarita	—	17	14	4	2	0	1	2	2	1	0	0	286	412	643	1.055	357	273	12	12	452	192	—	—	—	—	—	—
2016	24	MLB	New York Mets	—	335	307	82	14	0	16	23	48	2	1	1	267	322	469	791	202	268	14	7	346	125	+10	-0	-5	+1	+7	1.3
2016	24	AA	Binghamton Mets	—	19	17	4	0	0	0	1	2	0	0	0	235	278	235	513		250	11	5	227	36	—	—	—	—	—	—
2017	25	MLB	New York Mets	—	362	336	91	17	1	18	17	54	3	1	1	271	312	488	800	217	270	15	5	345	123	+10	-0	-7	+1	+8	1.3
2018	26	MLB	New York Mets	—	429	386	103	25	0	11	29	42	5	0	0	267	326	417	743	150	269	10	7	325	111	+6	+0	-1	-8	+9	0.6
2019	27	MLB	Arizona Diamondbacks	—	285	265	84	18	0	9	15	31	4	0	0	317	363	487	849	170	332	11	5	375	136	+12	+0	+0	+1	+6	2.0
2020	28	MLB	San Francisco Giants	—	213	198	53	11	1	12	13	36	1	1	0	268	316	515	831	247	272	17	6	360	135	+9	+0	+1	+1	+5	1.6
2021	29	MLB	San Francisco Giants	—	436	389	102	16	1	18	41	56	3	1	0	262	337	447	784	185	264	13	9	346	127	+14	+0	+0	+2	+9	2.6
2022	30	MLB	San Francisco Giants	—	602	525	120	28	1	19	59	103	11	0	0	229	319	394	714	166	246	17	10	318	105	+4	+0	-3	+2	+13	1.6
2023	31	MLB	San Francisco Giants	—	454	405	115	22	0	23	41	63	5	0	0	284	357	509	866	225	286	14	9	378	148	+26	+0	-3	-10	+10	2.3
2023	31	INTL	Navegantes del Magallanes	—	96	82	25	7	0	1	13	9	1	0	0	305	406	427	833	122	333	9	14	378	142	—	—	—	—	—	—
2024	32	MLB	San Francisco Giants	—	242	214	44	12	0	4	20	33	3	0	0	206	283	318	600	112	220	14	8	270	69	-9	+0	-2	-4	+5	-1.0
2025	33	MLB	San Francisco Giants	—	463	419	101	10	0	16	34	88	7	1	0	241	309	379	688	138	267	19	7	309	100	+0	+0	-2	-8	+10	0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4706	4281	1107	213	5	169	328	671	49	6	3	259	319	429	748	171	269	14	7	329	109	+50	+0	-10	-7	+102	13.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	16	ROK MLE	Kingsport Mets	—	265	250	62	9	3	7	7	40	5	2	1	248	282	392	674	144	258	15	3	281	76	—	—	—	—	—	—
2009	17	A MLE	Savannah Sand Gnats	—	528	495	116	16	2	3	15	97	9	3	3	234	270	293	563	59	275	18	3	245	52	—	—	—	—	—	—
2010	18	A+ MLE	St. Lucie Mets	—	290	279	76	17	1	4	7	56	2	2	4	272	295	384	679	111	318	19	2	287	80	—	—	—	—	—	—
2010	18	A MLE	Savannah Sand Gnats	—	307	289	74	15	2	7	11	50	5	2	1	256	295	394	690	138	280	16	4	296	86	—	—	—	—	—	—
2011	19	A+ MLE	St. Lucie Mets	—	559	525	123	24	1	7	18	102	6	2	2	234	268	324	592	90	269	18	3	263	64	—	—	—	—	—	—
2012	20	AA MLE	Binghamton Mets	—	275	256	73	16	2	7	15	37	1	0	0	285	327	445	773	160	305	13	5	332	111	—	—	—	—	—	—
2012	20	A+ MLE	St. Lucie Mets	—	272	248	62	11	0	7	12	46	3	3	2	250	293	379	672	129	260	17	4	296	86	—	—	—	—	—	—
2013	21	MLB MLE	New York Mets	—	101	95	20	5	0	1	5	23	0	0	0	211	250	295	545	84	264	23	5	251	56	-5	+0	+1	+2	+2	0.1
2013	21	AAA MLE	Las Vegas 51s	—	463	432	120	30	3	11	17	85	3	1	3	278	310	438	747	160	307	18	4	321	103	—	—	—	—	—	—
2014	22	MLB MLE	New York Mets	—	274	261	67	14	1	6	10	31	1	1	0	257	287	387	674	130	265	11	4	297	87	-4	+0	+6	+7	+6	1.5
2014	22	AAA MLE	Las Vegas 51s	—	241	225	61	8	2	11	11	53	1	0	2	271	308	471	779	200	299	22	5	333	112	—	—	—	—	—	—
2015	23	MLB MLE	New York Mets	—	510	485	130	23	0	16	17	63	4	0	1	268	298	414	713	146	273	12	3	315	99	-0	-0	+4	+6	+11	2.0
2016	24	MLB MLE	New York Mets	—	335	307	84	15	0	16	23	48	2	1	1	274	328	479	807	205	268	14	7	353	125	+10	-0	-5	+1	+7	1.3
2016	24	AA MLE	Binghamton Mets	—	19	17	4	0	0	0	1	2	0	0	0	235	278	235	513		235	11	5	222	36	—	—	—	—	—	—
2017	25	MLB MLE	New York Mets	—	362	337	93	18	1	18	16	54	3	1	1	276	315	496	810	220	270	15	4	350	123	+10	-0	-7	+1	+8	1.3
2018	26	MLB MLE	New York Mets	—	429	387	107	27	0	11	28	42	5	0	0	276	333	432	765	155	269	10	7	332	111	+6	+0	-1	-8	+9	0.6
2019	27	MLB MLE	Arizona Diamondbacks	—	285	265	83	16	0	10	15	31	4	0	0	313	359	487	846	174	332	11	5	369	136	+12	+0	+0	+1	+6	2.0
2020	28	MLB MLE	San Francisco Giants	—	213	199	54	11	1	13	12	36	1	1	0	271	316	533	849	261	272	17	6	368	135	+9	+0	+1	+1	+5	1.6
2021	29	MLB MLE	San Francisco Giants	—	436	389	104	16	1	19	41	56	3	1	0	267	342	460	802	193	264	13	9	355	127	+14	+0	+0	+2	+9	2.6
2022	30	MLB MLE	San Francisco Giants	—	602	526	123	28	1	21	58	103	11	0	0	234	323	411	733	177	246	17	10	324	105	+4	+0	-3	+2	+13	1.6
2023	31	MLB MLE	San Francisco Giants	—	454	406	118	22	0	25	40	63	5	0	0	291	361	530	891	239	286	14	9	387	148	+26	+0	-3	-10	+10	2.3
2024	32	MLB MLE	San Francisco Giants	—	242	215	44	12	0	4	19	33	3	0	0	205	278	316	595	112	220	14	8	271	69	-9	+0	-2	-4	+5	-1.0
2025	33	MLB MLE	San Francisco Giants	—	463	419	103	10	0	17	34	88	7	1	0	246	313	391	704	146	267	19	7	317	100	+0	+0	-2	-8	+10	0.0
2008	16	ROK MLE	Kingsport Mets	—	265	250	62	9	3	7	7	40	5	2	1	248	282	392	674	144	268	15	3	281	76	—	—	—	—	—	—
2008	16	ROK RAW	Kingsport Mets	—	265	245	76	12	4	8	12	28	5	2	1	310	355	490	845	180	322	11	5	368	76	—	—	—	—	—	—
2009	17	A MLE	Savannah Sand Gnats	—	528	495	116	16	2	3	15	97	9	3	3	234	270	293	563	59	282	18	3	245	52	—	—	—	—	—	—
2009	17	A RAW	Savannah Sand Gnats	—	528	488	129	20	2	3	22	72	9	3	3	264	308	332	640	68	301	14	4	286	52	—	—	—	—	—	—
2010	18	A MLE	3 teams	—	713	674	177	38	3	12	22	127	9	5	5	263	295	381	676	119	304	18	3	292	84	—	—	—	—	—	—
2010	18	A RAW	3 teams	—	713	657	193	42	3	13	39	91	9	5	5	294	342	426	768	132	321	13	5	339	84	—	—	—	—	—	—
2011	19	A+ MLE	2 teams	—	711	670	158	31	2	9	23	129	7	4	2	236	269	328	597	93	275	18	3	263	64	—	—	—	—	—	—
2011	19	A+ RAW	2 teams	—	711	649	179	32	2	11	44	94	7	4	2	276	329	382	711	106	304	13	6	315	64	—	—	—	—	—	—
2012	20	AA MLE	3 teams	—	765	705	190	39	2	20	38	116	7	3	3	270	313	416	729	146	293	15	5	314	99	—	—	—	—	—	—
2012	20	AA RAW	3 teams	—	765	688	201	40	3	23	55	90	7	3	3	292	351	459	810	167	304	12	7	353	99	—	—	—	—	—	—
2013	21	AAA MLE	3 teams	—	663	620	165	42	3	14	26	127	4	1	5	266	300	411	711	145	309	19	4	309	95	—	—	—	—	—	—
2013	21	AAA RAW	3 teams	—	663	607	189	47	4	19	39	96	4	1	5	311	357	496	853	185	339	14	6	368	95	—	—	—	—	—	—
2014	22	MLB MLE	3 teams	—	611	576	151	26	3	20	24	100	5	4	2	262	298	422	719	160	285	16	4	314	99	-1	+0	+6	+7	+13	2.5
2014	22	MLB RAW	3 teams	—	611	569	165	27	3	25	31	83	5	4	2	290	332	480	812	190	301	14	5	354	99	-1	+0	+6	+7	+13	2.5
2015	23	MLB MLE	2 teams	—	527	500	135	24	0	17	18	65	5	0	1	270	302	420	722	150	281	12	3	315	99	-0	-0	+4	+6	+11	2.0
2015	23	MLB RAW	2 teams	—	527	497	131	24	0	17	21	65	5	0	1	264	300	414	715	151	273	12	4	315	99	-0	-0	+4	+6	+11	2.0
2016	24	MLB MLE	2 teams	—	354	324	88	15	0	16	24	50	2	1	1	272	326	466	792	194	275	14	7	346	120	+9	-0	-5	+1	+8	1.2
2016	24	MLB RAW	2 teams	—	354	324	86	14	0	16	24	50	2	1	1	265	320	457	777	191	267	14	7	339	120	+9	-0	-5	+1	+8	1.2
2017	25	MLB MLE	New York Mets	—	362	337	93	18	1	18	16	54	3	1	1	276	315	496	810	220	277	15	4	350	123	+10	-0	-7	+1	+8	1.3
2017	25	MLB RAW	New York Mets	—	362	336	91	17	1	18	17	54	3	1	1	271	312	488	800	217	270	15	5	345	123	+10	-0	-7	+1	+8	1.3
2018	26	MLB MLE	New York Mets	—	429	387	107	27	0	11	28	42	5	0	0	276	333	432	765	155	280	10	7	332	111	+6	+0	-1	-8	+9	0.6
2018	26	MLB RAW	New York Mets	—	429	386	103	25	0	11	29	42	5	0	0	267	326	417	743	150	269	10	7	325	111	+6	+0	-1	-8	+9	0.6
2019	27	MLB MLE	Arizona Diamondbacks	—	285	265	83	16	0	10	15	31	4	0	0	313	359	487	846	174	324	11	5	369	136	+12	+0	+0	+1	+6	2.0
2019	27	MLB RAW	Arizona Diamondbacks	—	285	265	84	18	0	9	15	31	4	0	0	317	363	487	849	170	332	11	5	375	136	+12	+0	+0	+1	+6	2.0
2020	28	MLB MLE	San Francisco Giants	—	213	199	54	11	1	13	12	36	1	1	0	271	316	533	849	261	272	17	6	368	135	+9	+0	+1	+1	+5	1.6
2020	28	MLB RAW	San Francisco Giants	—	213	198	53	11	1	12	13	36	1	1	0	268	316	515	831	247	272	17	6	360	135	+9	+0	+1	+1	+5	1.6
2021	29	MLB MLE	San Francisco Giants	—	436	389	104	16	1	19	41	56	3	1	0	267	342	460	802	193	268	13	9	355	127	+14	+0	+0	+2	+9	2.6
2021	29	MLB RAW	San Francisco Giants	—	436	389	102	16	1	18	41	56	3	1	0	262	337	447	784	185	264	13	9	346	127	+14	+0	+0	+2	+9	2.6
2022	30	MLB MLE	San Francisco Giants	—	602	526	123	28	1	21	58	103	11	0	0	234	323	411	733	177	249	17	10	324	105	+4	+0	-3	+2	+13	1.6
2022	30	MLB RAW	San Francisco Giants	—	602	525	120	28	1	19	59	103	11	0	0	229	319	394	714	166	246	17	10	318	105	+4	+0	-3	+2	+13	1.6
2023	31	MLB MLE	2 teams	—	550	493	143	27	0	30	48	76	6	0	0	290	360	527	888	237	290	14	9	387	148	+31	+0	-3	-10	+12	3.1
2023	31	MLB RAW	2 teams	—	550	487	140	29	0	24	54	72	6	0	0	287	366	495	860	207	294	13	10	378	148	+31	+0	-3	-10	+12	3.1
2024	32	MLB MLE	San Francisco Giants	—	242	215	44	12	0	4	19	33	3	0	0	205	278	316	595	112	219	14	8	271	69	-9	+0	-2	-4	+5	-1.0
2024	32	MLB RAW	San Francisco Giants	—	242	214	44	12	0	4	20	33	3	0	0	206	283	318	600	112	220	14	8	270	69	-9	+0	-2	-4	+5	-1.0
2025	33	MLB MLE	San Francisco Giants	—	463	419	103	10	0	17	34	88	7	1	0	246	313	391	704	146	271	19	7	317	100	+0	+0	-2	-8	+10	0.0
2025	33	MLB RAW	San Francisco Giants	—	463	419	101	10	0	16	34	88	7	1	0	241	309	379	688	138	267	19	7	309	100	+0	+0	-2	-8	+10	0.0
2008	16	ROK MLE	Kingsport Mets	—	265	251	62	9	3	7	7	40	5	2	1	247	282	390	673	143	258	15	3	281	76	—	—	—	—	—	—
2009	17	A MLE	Savannah Sand Gnats	—	528	499	116	16	2	3	15	97	9	3	3	232	270	291	560	58	275	18	3	245	52	—	—	—	—	—	—
2010	18	A MLE	3 teams	—	713	676	177	38	3	12	22	127	9	5	5	262	295	380	675	118	298	18	3	292	84	—	—	—	—	—	—
2011	19	A+ MLE	2 teams	—	711	675	158	31	2	9	23	129	7	4	2	234	269	326	594	92	269	18	3	263	64	—	—	—	—	—	—
2012	20	AA MLE	3 teams	—	765	714	190	39	2	20	38	116	7	3	3	266	313	410	724	144	283	15	5	314	99	—	—	—	—	—	—
2013	21	AAA MLE	3 teams	—	663	628	165	42	3	14	26	127	4	1	5	263	300	406	706	143	299	19	4	309	95	—	—	—	—	—	—
2014	22	MLB MLE	3 teams	—	611	577	151	26	3	20	24	100	5	4	2	262	298	421	719	159	281	16	4	314	99	—	—	—	—	—	—
2015	23	MLB MLE	2 teams	—	527	499	135	24	0	17	18	65	5	0	1	271	302	421	723	150	273	12	3	315	99	—	—	—	—	—	—
2016	24	MLB MLE	2 teams	—	354	325	88	15	0	16	24	50	2	1	1	271	326	465	790	194	267	14	7	346	120	—	—	—	—	—	—
2017	25	MLB MLE	New York Mets	—	362	340	93	18	1	18	16	54	3	1	1	274	315	491	806	218	270	15	4	350	123	—	—	—	—	—	—
2018	26	MLB MLE	New York Mets	—	429	393	107	27	0	11	28	42	5	0	0	272	333	425	758	153	269	10	7	332	111	—	—	—	—	—	—
2019	27	MLB MLE	Arizona Diamondbacks	—	285	264	83	16	0	10	15	31	4	0	0	314	359	489	848	174	332	11	5	369	136	—	—	—	—	—	—
2020	28	MLB MLE	San Francisco Giants	—	213	198	54	11	1	13	12	36	1	1	0	273	316	535	851	263	272	17	6	368	135	—	—	—	—	—	—
2021	29	MLB MLE	San Francisco Giants	—	436	389	104	16	1	19	41	56	3	1	0	267	342	460	802	193	264	13	9	355	127	—	—	—	—	—	—
2022	30	MLB MLE	San Francisco Giants	—	602	528	123	28	1	21	58	103	11	0	0	233	323	409	732	176	246	17	10	324	105	—	—	—	—	—	—
2023	31	MLB MLE	2 teams	—	550	491	143	27	0	30	48	76	6	0	0	291	360	530	890	238	286	14	9	387	148	—	—	—	—	—	—
2024	32	MLB MLE	San Francisco Giants	—	242	218	44	12	0	4	19	33	3	0	0	202	278	312	590	110	220	14	8	271	69	—	—	—	—	—	—
2025	33	MLB MLE	San Francisco Giants	—	463	419	103	10	0	17	34	88	7	1	0	246	313	391	704	146	267	19	7	317	100	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	MLB MLE	San Francisco Giants	—	242	218	44	12	0	4	19	33	3	0	0	202	278	312	590	110	220	14	8	271	69	—	—	—	—	—	—
2025	33	MLB MLE	San Francisco Giants	—	463	419	103	10	0	17	34	88	7	1	0	246	313	391	704	146	267	19	7	317	100	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	35	MLB MLE	SF	100%	365	329	77	13	1	11	28	69	5	3	1	236	305	385	690	149	263	19	8	308	95	-2	+0	+1	-7	+8	0.0
▸ 2027 — real world (MLB)
2027	35	MLB CTX	SF	100%	254	230	53	9	1	7	19	48	3	2	1	231	301	372	673	141	259	19	7	301	95	-2	+0	+1	-5	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	36	MLB MLE	SF	100%	183	166	37	6	0	5	13	36	2	0	0	223	291	357	647	134	252	20	7	290	83	-4	+0	-6	-3	+4	-0.9
2028	36	MLB CTX	SF	100%	183	166	36	6	0	5	13	36	2	0	0	218	287	345	632	127	249	20	7	284	83	-4	+0	-6	-3	+4	-0.9
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4889	4447	1143	219	5	174	341	707	51	6	3	257	317	426	743	169	268	14	7	328	99	+47	+0	-16	-11	+106	12.8
/ 162G	—	A+C		—	650	591	152	29	1	23	45	94	7	1	0	257	317	426	744	169	269	14	7	328	99	+6	+0	-2	-1	+14	1.7
Career	—	MLE		—	9156	8440	2187	420	23	274	500	1454	101	29	25	259	308	412	720	153	281	16	5	315	99	+45	+0	-15	-15	+111	12.8
/ 162G	—	MLE		—	650	599	155	30	2	19	35	103	7	2	2	259	307	411	718	152	281	16	5	315	99	+6	+0	-2	-2	+14	1.6

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.

2016 AABinghamton Mets · 19 PAwOBA .234 → .222 (−12)K% 10.5% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷1.062	×1.220	—	—	12.09%
BB% (unintentional) /PA	5.26%	÷0.996	×0.700	—	×0.998	3.69%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	26.67%	÷1.034	×0.970	—	×0.998	24.96%
Doubles /BIP	0.00%	÷1.070	×0.860	—	×0.998	0.00%
Triples /BIP	0.00%	÷0.956	×0.950	—	×0.998	0.00%
Home runs /BIP	0.00%	÷1.085	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 117, 1B 107, 2B 114, 3B 91, K 112, BB 99 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .234 → .222; ISO .000 → .000; BABIP .250 → .235. 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).

2014 AAALas Vegas 51s · 241 PAwOBA .395 → .333 (−62)K% 16.2% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.18%	÷0.945	×1.290	—	—	22.08%
BB% (unintentional) /PA	6.22%	÷1.060	×0.710	—	×1.050	4.38%
HBP% /PA	0.41%	—	×0.980	—	×1.050	0.43%
Singles /BIP	24.86%	÷0.991	×0.900	×0.961	×1.050	22.77%
Doubles /BIP	6.08%	÷1.057	×0.810	×0.961	×1.050	4.70%
Triples /BIP	1.10%	÷0.900	×0.810	×0.961	×1.050	1.00%
Home runs /BIP	7.18%	÷0.925	×0.780	—	×1.050	6.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 98, 2B 111, 3B 80, K 89, BB 112 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .395 → .333; ISO .245 → .206; BABIP .339 → .299. 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).

2013 AAALas Vegas 51s · 463 PAwOBA .376 → .321 (−55)K% 13.6% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.61%	÷0.952	×1.290	—	—	18.45%
BB% (unintentional) /PA	4.97%	÷0.994	×0.710	—	×1.050	3.73%
HBP% /PA	0.65%	—	×0.980	—	×1.050	0.67%
Singles /BIP	22.44%	÷1.018	×0.900	×1.016	×1.050	21.16%
Doubles /BIP	9.97%	÷1.023	×0.810	×1.016	×1.050	8.42%
Triples /BIP	1.11%	÷1.150	×0.810	×1.016	×1.050	0.83%
Home runs /BIP	4.16%	÷1.078	×0.780	—	×1.050	3.16%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, BB 99 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .376 → .321; ISO .210 → .165; BABIP .342 → .307. 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).

2012 AABinghamton Mets · 275 PAwOBA .367 → .332 (−35)K% 10.9% → 13.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.91%	÷0.989	×1.220	—	—	13.45%
BB% (unintentional) /PA	7.27%	÷0.990	×0.700	—	×1.050	5.40%
HBP% /PA	0.36%	—	×0.850	—	×1.050	0.32%
Singles /BIP	22.62%	÷1.036	×0.970	×0.972	×1.050	21.60%
Doubles /BIP	8.14%	÷0.967	×0.860	×0.972	×1.050	7.39%
Triples /BIP	0.90%	÷1.093	×0.950	×0.972	×1.050	0.80%
Home runs /BIP	3.62%	÷0.932	×0.780	—	×1.050	3.18%

Factors used: league row EL. Park (home-season share, regressed): HR 86, 1B 107, 2B 93, 3B 119, K 98, BB 98 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .367 → .332; ISO .183 → .164; BABIP .326 → .305. 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).

2012 A+St. Lucie Mets · 272 PAwOBA .345 → .296 (−49)K% 11.0% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.03%	÷0.933	×1.420	—	—	16.78%
BB% (unintentional) /PA	5.88%	÷1.034	×0.750	—	×1.027	4.38%
HBP% /PA	1.10%	—	×0.930	—	×1.027	1.05%
Singles /BIP	22.64%	÷1.020	×0.920	×0.991	×1.027	20.79%
Doubles /BIP	5.66%	÷1.036	×0.960	×0.991	×1.027	5.34%
Triples /BIP	0.00%	÷1.016	×0.810	×0.991	×1.027	0.00%
Home runs /BIP	4.72%	÷1.239	×0.880	—	×1.027	3.44%

Factors used: league row FSL. Park (home-season share, regressed): HR 148, 1B 104, 2B 107, 3B 103, K 87, BB 107 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .345 → .296; ISO .174 → .137; BABIP .286 → .260. 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).

2011 A+St. Lucie Mets · 559 PAwOBA .300 → .263 (−37)K% 12.2% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.16%	÷0.947	×1.420	—	—	18.24%
BB% (unintentional) /PA	4.29%	÷1.042	×0.750	—	×1.042	3.22%
HBP% /PA	1.07%	—	×0.930	—	×1.042	1.04%
Singles /BIP	22.77%	÷1.009	×0.920	×0.975	×1.042	21.07%
Doubles /BIP	5.80%	÷1.013	×0.960	×0.975	×1.042	5.58%
Triples /BIP	0.45%	÷1.097	×0.810	×0.975	×1.042	0.33%
Home runs /BIP	2.01%	÷1.095	×0.880	—	×1.042	1.68%

Factors used: league row FSL. Park (home-season share, regressed): HR 119, 1B 102, 2B 103, 3B 119, K 89, BB 108 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .300 → .263; ISO .110 → .095; BABIP .291 → .269. 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).

2010 ASavannah Sand Gnats · 307 PAwOBA .331 → .296 (−34)K% 12.1% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.05%	÷0.988	×1.340	—	—	16.34%
BB% (unintentional) /PA	5.54%	÷1.072	×0.660	—	×1.045	3.56%
HBP% /PA	1.63%	—	×0.770	—	×1.045	1.31%
Singles /BIP	20.83%	÷0.968	×0.920	×0.997	×1.045	20.61%
Doubles /BIP	7.50%	÷1.050	×0.820	×0.997	×1.045	6.10%
Triples /BIP	0.83%	÷1.105	×0.940	×0.997	×1.045	0.74%
Home runs /BIP	2.92%	÷0.920	×0.820	—	×1.045	2.72%

Factors used: league row SAL. Park (home-season share, regressed): HR 84, 1B 94, 2B 110, 3B 121, K 98, BB 114 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .331 → .296; ISO .155 → .137; BABIP .298 → .280. 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).

2010 A+St. Lucie Mets · 290 PAwOBA .321 → .287 (−34)K% 13.8% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.79%	÷1.008	×1.420	—	—	19.42%
BB% (unintentional) /PA	3.10%	÷1.020	×0.750	—	×1.050	2.40%
HBP% /PA	0.69%	—	×0.930	—	×1.050	0.67%
Singles /BIP	25.32%	÷1.018	×0.920	×0.993	×1.050	23.86%
Doubles /BIP	7.59%	÷1.024	×0.960	×0.993	×1.050	7.42%
Triples /BIP	0.42%	÷1.150	×0.810	×0.993	×1.050	0.31%
Home runs /BIP	1.69%	÷0.942	×0.880	—	×1.050	1.66%

Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 104, 2B 105, 3B 130, K 102, BB 104 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .321 → .287; ISO .116 → .106; BABIP .336 → .318. 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
#1Josh Reddicklast yr '21 career totals — 13 seasons, 4,879 PA	7.3	4,879	146	61	262	321	426	-52	-8	13.1	13.0
/162	664	20	8	-7.1	-1.1	1.8	pk7: 13
#2Candy Maldonado'81-'95 * career totals — 13 seasons, 4,590 PA	6.9	4,590	146	34	252*	320*	452*	-47	-24	10.6	11.0
/162	664	21	5	-6.8	-3.4	1.5	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 15 projected seasons	7.7	5,143	182	8	257	314	425	-93	-19	8.6	9.1
/162	664	24	1	-12.0	-2.4	1.1	pk7: 10
#3Avisaíl Garcíalast yr '24 career totals — 13 seasons, 4,298 PA	6.5	4,298	140	51	263	316	417	-43	-35	6.6	8.0
/162	664	22	8	-6.7	-5.4	1.0	pk7: 9
#4Jim Spencer'68-'82 * career totals — 15 seasons, 5,409 PA	8.1	5,409	146	11	250*	308*	424*	-101	+13	6.2	7.0
/162	664	18	1	-12.4	+1.6	0.8	pk7: 8
#5Ed Kranepool'62-'79 * career totals — 17 seasons, 5,997 PA	9.0	5,997	118	15	259*	319*	411*	-100	-1	5.3	6.5
/162	664	13	2	-11.1	-0.2	0.6	pk7: 8
#6Mitch Morelandlast yr '21 career totals — 12 seasons, 4,536 PA	6.8	4,536	186	11	251	318	446	-81	-56	5.9	6.1
/162	664	27	2	-11.9	-8.1	0.9	pk7: 6

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
Wilmer Flores (OGILVIE)	35	—	—	—	—	234/303/382	148	263	8	2	19%	8%	95	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Edgard Clemente 2010 · AAA	34	46	50	39→40	49	236/302/386	150	279	18	6	22%	8%	95	+0.9	246/305/399	153	301	17	8	23%	7%	99	+1.2	225/287/381	156	284	20	9	28%	6%	84	+0.0
✕Leobardo Arauz 2013 · AAA	36	46→56	46→45	34→45	57	225/311/353	128	247	13	4	16%	10%	91	+0.6	220/299/321	101	251	10	4	16%	10%	78	-0.3	217/295/298	82	247	7	2	15%	9%	70	-0.5
✕Izzy Alcantara 2007 · AAA	34	46	50→55	40→45	52	238/316/391	153	273	19	8	21%	9%	101	+1.4	229/295/386	157	278	19	8	24%	8%	92	+0.7	206/271/371	165	245	20	2	25%	7%	76	-0.2
✕Brian Burgamy 2016 · AAA	35	44→47	49→50	41→50	48	226/293/372	145	276	17	5	24%	8%	88	+0.4	226/294/342	116	303	11	9	27%	8%	81	-0.1	225/298/331	106	305	9	10	27%	9%	80	-0.1
✕Andy Abad 2007 · AAA	34	47→48	49→50	39→45	47	238/287/382	144	252	17	4	15%	6%	88	+0.4	231/276/350	119	259	14	8	17%	5%	76	-0.4	227/266/329	102	253	13	7	16%	4%	69	-0.3
●Scott Brosius 2001 · MLB	34	46→56	50	35→40	54	234/301/384	150	246	19	3	15%	8%	93	+0.8	260/320/414	154	292	17	5	17%	7%	107	+1.8	279/335/433	154	319	16	4	17%	7%	118	+2.1
●Vinny Castilla 2002 · MLB	35	47→53	53→60	35→40	45	246/289/416	170	264	21	3	17%	5%	97	+1.1	252/292/425	173	268	21	3	15%	5%	99	+1.3	262/312/460	198	279	23	2	16%	6%	116	+2.5
✕Raul Gonzalez 2009 · AAA	35	51→58	41→45	37→50	48	245/296/347	102	279	9	5	16%	6%	82	-0.0	266/326/384	118	304	12	13	16%	7%	102	+1.5	293/358/411	118	331	12	16	15%	8%	116	+1.0
✕Shawn Wooten 2006 · MLB	34	44→42	47→45	40→30	45	221/271/346	125	245	16	3	18%	5%	74	-0.6	205/251/295	90	250	9	3	21%	5%	54	-2.0	186/232/248	62	234	6	1	22%	5%	34	-1.4
✕Russ Johnson 2007 · MLB	34	46→45	47→50	40→45	53	230/297/367	138	252	15	6	16%	8%	88	+0.5	223/285/347	124	242	13	8	14%	8%	78	-0.3	212/270/320	109	223	11	6	11%	7%	65	-0.9
✕Abraham Valencia 2014 · AAA	34	44→50	47→45	43→45	41	227/283/359	132	269	16	4	23%	5%	82	-0.0	232/294/334	102	282	10	7	21%	5%	79	-0.2	237/301/296	59	285	5	3	18%	5%	70	-0.4
✕Eric Karros 2003 · MLB	35	50→55	50→55	43→40	50	254/314/405	151	279	18	5	16%	8%	103	+1.6	257/311/404	147	278	17	5	14%	7%	101	+1.4	262/313/411	149	278	18	3	13%	7%	104	+0.7
✕Carlos Valencia 2014 · AAA	34	45→55	47→55	38→40	39	229/257/368	139	264	15	4	20%	3%	73	-0.6	206/239/320	114	240	14	4	21%	4%	55	-2.0	195/227/283	87	234	12	3	22%	4%	41	-1.6
✕Matt McBride 2019 · MLB	34	38→48	51→55	42→40	45	204/261/364	161	235	18	4	23%	6%	74	-0.5	214/266/385	171	257	22	7	26%	6%	81	-0.1	174/211/355	181	185	29	0	27%	3%	51	-0.6
●Steve Pearce 2018 · MLB	35	48→58	54→60	38→50	51	248/318/428	181	275	22	3	20%	8%	110	+2.1	244/325/413	169	287	20	4	21%	9%	109	+2.0	237/331/406	169	278	20	0	22%	10%	111	+0.7
✕Andy Tracy 2008 · AAA	34	40→45	50→55	40→45	49	211/284/360	150	252	18	5	25%	9%	82	-0.0	222/289/390	168	265	21	6	24%	8%	91	+0.6	219/287/395	175	259	23	5	25%	8%	91	+0.6
✕Carlos Sievers 2010 · AAA	35	49→59	48→50	40→45	51	246/313/387	141	261	17	4	14%	7%	99	+1.2	231/305/359	128	257	15	5	16%	8%	89	+0.5	223/299/331	109	253	13	4	17%	9%	82	+0.0
✕Mike Matheny 2006 · MLB	35	48→52	46→45	35→30	43	237/277/370	133	273	13	2	19%	5%	81	-0.1	234/282/372	138	269	14	5	19%	5%	83	+0.1	220/260/321	101	252	10	0	17%	4%	63	-0.4
✕Shane Halter 2004 · MLB	34	47→57	48→50	39→40	49	236/296/383	147	272	16	4	20%	8%	91	+0.7	223/282/367	144	262	17	7	21%	7%	82	+0.0	202/248/351	149	237	20	5	25%	6%	67	-0.2
✕Edgar Gonzalez 2011 · MLB	33	48→56	48→45	38→50	48	242/306/381	139	289	15	6	22%	8%	95	+0.9	244/292/353	109	288	11	13	19%	6%	82	-0.0	245/288/341	96	292	10	15	19%	5%	74	-0.3

Wilmer Flores

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps