Joey Wendle — OGILVIE

Joey Wendle2B New York Mets

Age 36 L/R 6'1" / 195 lbs MLB H +5%HR +3% Svc 10.000 · Ctrl thru 2026 peak 0.2 · 2026

wRC+†74

AVG/OBP/SLG.240 / .284 / .344

PA145

HR2

K%22

BB%5

MLB%100%

Scouting · now → future

PWR

37→37

SPD

56→56

EYE

34→34

Contract

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

Status FA

MLB Debut 2016

Service 10.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.2	$0.8M	-$0.2M
Totals		$1M		$0.8M	-$0.2M

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	23	A+	2 teams	544	494	124	31	3	16	30	129	11	10	2	.251	.308	.423	.731	.172	.303	24	6	.315	99	-0	+1	+0	+6	+15	2.2
2014	24	AA	2 teams	396	368	82	17	6	8	20	81	4	5	3	.223	.270	.367	.637	.144	.261	20	5	.277	70	-13	-0	+0	+4	+11	0.2
2015	25	AAA	Nashville Sounds	618	584	149	32	7	9	15	142	9	12	2	.255	.285	.380	.665	.125	.320	23	2	.284	76	-17	+2	+0	+7	+18	0.9
2016	26	AAA	3 teams	780	735	169	34	8	14	29	198	8	21	5	.230	.267	.355	.622	.125	.294	25	4	.271	66	-30	+2	+2	+3	+22	-0.1
2017	27	AAA	Nashville Sounds	510	484	119	23	7	7	13	106	12	13	4	.246	.283	.366	.649	.120	.301	21	3	.278	71	-17	+1	-0	+2	+14	0.1
2018	28	MLB	Tampa Bay Rays	545	487	144	35	5	8	37	96	9	16	4	.296	.356	.437	.794	.142	.346	18	7	.335	114	+9	+2	+5	+2	+15	3.3
2019	29	MLB	2 teams	284	258	60	15	2	3	15	52	8	9	3	.233	.295	.341	.636	.109	.277	18	5	.283	75	-8	+1	+3	+1	+8	0.5
2020	30	MLB	Tampa Bay Rays	184	168	51	9	2	4	10	35	5	8	2	.304	.361	.452	.813	.149	.362	19	5	.352	128	+6	+1	+1	+1	+5	1.4
2021	31	MLB	Tampa Bay Rays	501	460	119	31	2	12	28	113	10	8	6	.259	.315	.413	.728	.154	.317	23	6	.311	96	-2	-1	+8	+2	+14	2.2
2022	32	MLB	2 teams	388	362	98	27	1	4	15	55	6	12	3	.271	.311	.384	.695	.113	.306	14	4	.300	88	-5	+1	+3	+1	+11	1.2
2023	33	MLB	2 teams	355	334	65	16	3	4	13	77	2	8	1	.195	.229	.296	.526	.102	.238	22	4	.227	32	-27	+1	-0	+4	+10	-1.3
2024	34	MLB	New York Mets	37	36	8	1	0	0	1	9	0	1	0	.222	.243	.250	.493	.028	.296	24	3	.224	30	-3	+0	-1	+0	+1	-0.3
▸ 2026 Season
2026	36	MLB	NYM	145	136	33	7	1	2	7	32	1	3	1	.243	.285	.353	.638	.110	.302	22	5	.283	74	-4	+0	+1	+2	+4	0.2
▸ Career Totals (MLE all levels + projections)
Career	—			5287	4906	1221	278	47	91	233	1125	85	126	36	.249	.295	.380	.675	.131	.302	21	4	.291	81	-113	+11	+22	+34	+150	10.5
/ 162G	—			650	603	150	34	6	11	29	138	10	15	4	.249	.294	.380	.674	.131	.302	21	4	.291	81	-14	+1	+3	+4	+18	1.3

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	23	A+	Carolina Mudcats	474	413	122	32	5	16	44	79	10	10	2	.295	.377	.513	.890	.218	.327	17	9	.386	154	+29	+1	—	—	+13	4.4
2013	23	INTL	Surprise Saguaros	70	61	19	4	2	1	6	11	1	0	0	.311	.382	.492	.874	.180	.353	16	9	.375	145	+4	+0	—	—	+2	0.6
2014	24	AA	Akron RubberDucks	370	336	85	20	5	8	26	56	4	4	2	.253	.314	.414	.728	.161	.279	15	7	.320	103	+1	+0	—	—	+10	1.2
2014	24	ROK	AZL Indians	26	22	10	1	1	0	4	4	0	1	1	.455	.538	.591	1.129	.136	.556	15	15	.497	239	+4	-0	—	—	+1	0.5
2015	25	AAA	Nashville Sounds	618	577	167	42	8	10	22	114	9	12	2	.289	.326	.442	.768	.153	.343	18	4	.334	114	+10	+2	—	—	+18	2.9
2016	26	MLB	Oakland Athletics	104	96	25	1	0	1	6	16	0	2	0	.260	.304	.302	.606	.042	.296	15	6	.273	67	-4	+0	+2	+3	+3	0.5
2016	26	AAA	Nashville Sounds	526	491	137	31	9	12	26	112	7	14	4	.279	.324	.452	.777	.173	.340	21	5	.341	119	+11	+1	—	—	+15	2.8
2016	26	INTL	Yaquis de Obregon	150	137	42	11	4	3	8	16	1	5	1	.307	.349	.511	.860	.204	.325	11	5	.366	138	+6	+1	—	—	+4	1.2
2017	27	AAA	Nashville Sounds	510	478	136	29	8	8	19	82	12	13	4	.285	.328	.429	.757	.144	.329	16	4	.336	115	+9	+1	—	—	+14	2.5
2018	28	MLB	Tampa Bay Rays	545	487	146	33	6	7	37	96	9	16	4	.300	.360	.435	.796	.136	.353	18	7	.348	124	+15	+2	+5	+2	+15	4.0
2019	29	MLB	Tampa Bay Rays	263	238	55	13	2	3	14	47	8	8	3	.231	.296	.340	.636	.109	.272	18	5	.286	77	-7	+0	+3	+1	+7	0.5
2019	29	AAA	Durham Bulls	21	19	5	2	0	0	2	4	0	1	0	.263	.333	.368	.702	.105	.333	19	10	.318	102	+0	+0	—	—	+1	0.1
2020	30	MLB	Tampa Bay Rays	184	168	48	9	2	4	10	35	5	8	2	.286	.344	.435	.779	.149	.338	19	5	.346	123	+5	+1	+1	+1	+5	1.3
2021	31	MLB	Tampa Bay Rays	501	460	122	31	4	11	28	113	10	8	6	.265	.321	.422	.743	.157	.327	23	6	.329	110	+6	-1	+8	+2	+14	3.0
2022	32	MLB	Miami Marlins	371	347	90	24	1	3	15	50	5	12	3	.259	.300	.360	.660	.101	.293	13	4	.294	83	-7	+1	+3	+1	+11	1.0
2022	32	AAA	Jacksonville Jumbo Shrimp	17	15	5	1	0	1	0	4	1	0	0	.333	.375	.600	.975	.267	.364	24	0	.401	165	+1	+0	—	—	+0	0.2
2023	33	MLB	Miami Marlins	318	297	63	16	3	2	13	67	2	7	1	.212	.250	.306	.556	.094	.264	21	4	.246	46	-19	+1	-0	+4	+9	-0.6
2023	33	AAA	Jacksonville Jumbo Shrimp	37	37	7	1	1	2	0	9	0	1	0	.189	.189	.432	.622	.243	.192	24	0	.264	60	-2	+0	—	—	+1	-0.0
2024	34	MLB	New York Mets	37	36	8	1	0	0	1	9	0	1	0	.222	.243	.250	.493	.028	.296	24	3	.225	30	-3	+0	-1	+0	+1	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2323	2129	557	128	18	31	124	433	39	62	19	.262	.314	.382	.696	.121	.311	19	5	.309	94	-15	+5	+22	+14	+66	9.3

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
Joey Wendle (OGILVIE)	36	—	37	56	34	.240/.284/.344	.103	.302	2	3	22%	5%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Pete Orr 2015 · MLB	36	50→46	40→45	51→55	38	.238/.267/.334	.096	.304	6	14	24%	3%	63	-0.8	.232/.269/.317	.085	.290	6	15	21%	4%	59	-1.1	.229/.268/.284	.056	.277	3	20	18%	4%	50	-1.1
✕Ramon Valdez 2012 · AAA	35	48	38→30	52→55	45	.229/.290/.310	.081	.276	6	18	19%	6%	68	-0.5	.256/.328/.334	.078	.290	5	22	13%	7%	91	+1.1	.272/.353/.333	.061	.305	2	26	10%	7%	97	+0.6
✕Daniel Hinojosa 2019 · AAA	35	48	39→40	50→55	42	.226/.283/.307	.081	.312	7	12	28%	7%	64	-0.8	.210/.258/.350	.140	.324	17	10	39%	6%	66	-0.6	.140/.178/.291	.151	.208	25	5	47%	4%	14	-0.8
✕Josh Wilson 2017 · MLB	36	45→50	39→45	48→50	36	.215/.259/.297	.083	.300	7	10	30%	4%	51	-1.7	.219/.274/.329	.110	.287	11	8	27%	5%	67	-0.5	.203/.261/.299	.096	.264	10	2	26%	4%	52	-0.7
✕Hector Hernandez 2019 · AAA	36	52→51	37→40	44→50	46	.244/.281/.312	.068	.274	5	6	13%	4%	63	-0.8	.258/.301/.361	.103	.303	9	8	17%	5%	85	+0.7	.302/.339/.387	.085	.353	6	2	16%	4%	109	+0.8
✕Curtis Pride 2005 · MLB	36	48	46→45	51→55	43	.239/.295/.372	.133	.300	13	12	24%	6%	87	+0.8	.242/.317/.378	.136	.327	12	18	27%	10%	97	+1.5	.234/.314/.359	.125	.326	11	21	29%	10%	89	+0.5
✕Sergio Palafox 2015 · AAA	35	48	38→40	49→45	43	.230/.268/.308	.078	.270	6	11	17%	4%	57	-1.2	.229/.272/.323	.094	.271	8	11	18%	5%	63	-0.8	.228/.269/.299	.071	.264	5	5	15%	4%	53	-0.2
✕Daniel Nunez 2017 · AAA	35	50→51	37→30	44→50	46	.239/.294/.312	.073	.286	5	11	18%	6%	70	-0.3	.230/.289/.290	.060	.282	4	11	19%	6%	62	-0.9	.216/.281/.243	.028	.272	0	9	19%	7%	43	-0.9
✕Robinson Cancel 2012 · AAA	36	50	39→45	49→50	46	.239/.289/.328	.089	.289	6	14	19%	6%	72	-0.2	.253/.301/.374	.121	.298	13	16	19%	6%	89	+1.0	.271/.320/.397	.126	.310	15	17	17%	6%	99	+1.0
✕Pedro Mere 2006 · AAA	36	46→49	43→40	46→40	45	.228/.272/.340	.112	.264	11	7	18%	5%	68	-0.5	.236/.283/.334	.098	.265	9	5	14%	5%	72	-0.2	.239/.289/.324	.085	.269	8	3	14%	5%	69	-0.2
✕Andrew Romine 2021 · MLB	35	47→54	42→40	55	43	.232/.277/.333	.101	.283	10	19	22%	5%	69	-0.4	.238/.286/.329	.091	.307	8	10	24%	6%	71	-0.3	.247/.295/.310	.063	.326	3	3	24%	6%	65	-0.4
✕Jesus Rivera 2015 · AAA	37	48→54	40	45→40	43	.232/.271/.318	.086	.276	7	5	19%	5%	62	-0.9	.245/.295/.316	.071	.293	4	5	17%	6%	71	-0.3	.276/.323/.333	.057	.323	2	4	14%	6%	87	+0.3
✕Munenori Kawasaki 2016 · MLB	35	51→54	35→30	48→50	52	.236/.303/.298	.063	.284	2	11	17%	8%	70	-0.3	.234/.299/.306	.072	.293	4	20	20%	8%	71	-0.3	.236/.306/.288	.052	.301	1	28	20%	9%	69	-0.3
✕Hector Paez 2013 · AAA	35	46	43→45	48→40	42	.227/.255/.332	.105	.243	12	6	13%	3%	59	-1.1	.228/.267/.341	.113	.250	13	4	15%	3%	66	-0.6	.221/.262/.317	.096	.243	11	1	14%	3%	58	-0.4
✕Grégor Blanco 2019 · MLB	35	47→57	41→45	56→60	50	.226/.294/.329	.104	.292	8	18	24%	9%	75	-0.0	.218/.284/.350	.132	.279	14	14	26%	8%	76	+0.1	.200/.272/.336	.136	.248	17	13	26%	9%	67	-0.4
✕Trinidad Robles 2008 · AAA	35	49	44→40	47→45	46	.241/.294/.360	.119	.288	12	10	21%	6%	83	+0.6	.219/.273/.304	.085	.272	7	7	21%	6%	59	-1.1	.220/.277/.248	.028	.287	0	0	21%	5%	43	-0.9
✕Carlos Orrantia 2017 · AAA	35	49→55	39→45	43→55	42	.234/.276/.319	.085	.288	7	8	21%	5%	64	-0.8	.233/.270/.319	.086	.297	8	10	24%	5%	61	-1.0	.253/.281/.303	.050	.329	5	9	24%	4%	57	-0.5
✕Manny Alexander 2007 · MLB	36	47→50	42→45	51→55	46	.230/.276/.331	.102	.266	9	18	18%	6%	67	-0.5	.216/.255/.307	.091	.261	7	11	20%	5%	52	-1.6	.199/.229/.270	.071	.247	3	5	20%	4%	28	-1.7
✕Oscar Fentanes 2006 · AAA	36	51	40→30	47→45	48	.241/.307/.331	.090	.266	7	8	12%	5%	82	+0.5	.237/.291/.308	.071	.275	6	6	15%	5%	68	-0.5	.242/.296/.305	.063	.290	2	5	16%	4%	67	-0.2
✕Sandy Martinez 2006 · AAA	35	46	43→45	44→40	41	.227/.269/.334	.107	.285	10	7	24%	5%	66	-0.6	.216/.261/.343	.127	.270	15	6	25%	6%	65	-0.7	.191/.239/.318	.127	.229	18	2	26%	6%	47	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)