Jeff McNeil — OGILVIE

Jeff McNeil2B Athletics

Age 34 L/R 6'0" / 195 lbs MLB HR -6%K -4% Svc 8.000 · Ctrl thru 2031 peak 2.3 · 2026

wRC+†vL 87115vR 105

AVG/OBP/SLG.262 / .339 / .406

PA435

HR9

SB5

K%13

BB%8

MLB%100%

Scouting · now → future

HIT

55→55

PWR

40→40

SPD

45→45

EYE

53↘45

trajectory · 10 yrs

1.9peak

2026

Contract

CONFIRMED · hand-curated extension

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$20M	+2.3	$18M	-$2M
2027	Ext / FA-deal	$20M	+1.3	$11M	-$9M
2028	Ext / FA-deal	$20M	+0.6	$3M	-$17M
2029	Ext / FA-deal	$20M	—	—	—
2030	Ext / FA-deal	$20M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
Totals		$100M		$30M	-$70M

Underwater contract
Projected production over the remaining contract is worth -$70M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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	21	ROK	Kingsport Mets	199	170	48	7	2	0	11	20	10	11	2	.282	.361	.347	.708	.065	.310	10	6	.302	89	-2	+1	+0	+1	+6	0.5
2014	22	A	2 teams	506	456	117	26	3	3	25	80	12	17	5	.257	.312	.346	.659	.090	.303	16	5	.282	74	-15	+1	+0	+2	+14	0.3
2015	23	A+	3 teams	614	556	147	18	7	1	29	98	15	20	6	.264	.318	.327	.646	.063	.317	16	5	.278	71	-20	+2	+0	+2	+17	0.1
2017	25	A+	2 teams	194	179	42	9	0	3	7	42	6	4	2	.235	.286	.335	.622	.101	.287	22	4	.281	74	-6	+0	+0	+1	+5	0.0
2018	26	MLB	3 teams	632	577	185	36	10	20	37	78	11	13	1	.321	.373	.522	.894	.201	.342	12	6	.378	147	+34	+2	+3	+2	+18	6.0
2019	27	MLB	New York Mets	567	510	167	41	1	22	35	75	21	5	6	.327	.394	.541	.935	.214	.350	13	6	.404	167	+43	-1	+1	-6	+16	5.3
2020	28	MLB	New York Mets	209	183	58	13	0	4	20	24	3	0	2	.317	.393	.454	.847	.137	.342	11	10	.366	138	+9	-1	+1	-2	+6	1.3
2021	29	MLB	2 teams	442	401	102	21	1	8	30	63	10	3	0	.254	.322	.372	.694	.117	.284	14	7	.308	94	-3	+1	+4	+2	+13	1.6
2022	30	MLB	New York Mets	589	533	180	42	1	9	40	61	11	4	0	.338	.396	.471	.866	.133	.365	10	7	.378	148	+32	+1	+5	+2	+17	5.8
2023	31	MLB	New York Mets	648	585	162	26	4	10	39	65	18	10	0	.277	.341	.386	.727	.109	.296	10	6	.322	104	+3	+2	+2	+2	+18	2.9
2024	32	MLB	New York Mets	472	424	101	25	0	12	35	68	9	5	1	.238	.310	.382	.692	.144	.256	14	7	.304	91	-5	+1	+0	+2	+13	1.1
2025	33	MLB	New York Mets	462	399	94	21	5	12	49	55	8	3	0	.236	.331	.404	.735	.168	.244	12	11	.318	101	+1	+1	+1	+2	+13	1.7
▸ 2026 Season (actual · ROS · total)
2026	34	MLB	Athletics	87	75	21	5	0	1	8	12	2	1	1	.280	.365	.387	.751	.107	.317	14	9	.331	112	+1	-0	-0	+0	+2	0.3
ROS	34	MLB	OAK	348	309	82	18	2	7	29	45	7	4	2	.265	.342	.405	.747	.139	.290	13	8	.336	115	+6	+0	+2	+1	+10	2.0
TOT	34	MLB	OAK	435	384	103	23	2	8	37	57	9	5	3	.268	.347	.401	.748	.133	.295	13	9	.335	115	+7	-0	+2	+2	+12	2.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	35	MLB	OAK	372	330	86	18	2	7	31	42	8	4	1	.261	.339	.391	.730	.130	.279	11	8	.328	109	+4	+0	-3	+1	+11	1.3
2028	36	MLB	OAK	312	277	70	15	2	5	26	39	6	3	1	.253	.330	.375	.706	.123	.275	12	8	.318	102	+1	+0	-4	+1	+9	0.6
2029	37	MLB	OAK	248	221	54	11	1	4	20	33	5	2	1	.244	.321	.357	.679	.113	.272	13	8	.308	94	-2	+0	-5	+1	+7	0.1
2030	38	MLB	OAK	180	160	38	8	1	2	14	26	4	1	0	.237	.315	.338	.652	.100	.267	14	8	.296	85	-3	+0	-7	+1	+5	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6994	6270	1733	355	42	129	477	914	164	109	30	.276	.344	.408	.752	.132	.304	13	7	.328	110	+75	+10	-1	+14	+198	30.2
/ 162G	—			650	583	161	33	4	12	44	85	15	10	3	.276	.343	.408	.751	.132	.304	13	7	.328	110	+7	+1	-0	+1	+18	2.8

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	21	ROK	Kingsport Mets	199	164	54	9	2	0	17	14	10	11	2	.329	.424	.409	.833	.079	.348	7	9	.366	139	+9	+1	—	—	+6	1.6
2014	22	A+	St. Lucie Mets	241	207	51	8	2	1	22	25	4	2	2	.246	.330	.319	.649	.072	.275	10	9	.291	81	-5	-0	—	—	+7	0.1
2014	22	A	Savannah Sand Gnats	265	232	77	20	2	2	20	34	8	15	3	.332	.404	.461	.865	.129	.379	13	8	.381	149	+15	+2	—	—	+8	2.5
2015	23	AA	Binghamton Mets	16	15	3	0	0	0	1	2	0	0	1	.200	.250	.200	.450	.000	.231	12	6	.213	21	-1	-0	—	—	+0	-0.1
2015	23	A+	St. Lucie Mets	529	468	146	18	6	1	35	59	12	16	5	.312	.375	.382	.757	.071	.353	11	7	.336	115	+9	+1	—	—	+15	2.6
2015	23	INTL	Salt River Rafters	69	61	14	1	0	0	4	8	3	4	0	.230	.304	.246	.550	.016	.264	12	6	.262	58	-3	+1	—	—	+2	-0.1
2017	25	AAA	Las Vegas 51s	78	71	18	5	0	1	3	10	2	2	0	.254	.303	.366	.669	.113	.274	13	4	.294	83	-1	+0	—	—	+2	0.1
2017	25	A+	St. Lucie Mets	116	105	34	7	0	3	7	19	4	2	2	.324	.388	.476	.864	.152	.373	16	6	.386	154	+7	-0	—	—	+3	1.0
2018	26	MLB	New York Mets	248	225	74	11	6	3	14	24	5	7	1	.329	.381	.471	.852	.142	.359	10	6	.372	143	+12	+1	+3	+2	+7	2.6
2018	26	AAA	Las Vegas 51s	143	125	46	10	2	5	14	19	1	3	0	.368	.436	.600	1.036	.232	.394	13	10	.442	196	+16	+1	—	—	+4	2.1
2018	26	AA	Binghamton Rumble Ponies	241	214	70	16	3	14	22	23	5	3	0	.327	.402	.626	1.029	.299	.316	10	9	.444	198	+27	+1	—	—	+7	3.5
2019	27	MLB	New York Mets	567	510	162	38	1	23	35	75	21	5	6	.318	.385	.531	.917	.214	.337	13	6	.403	167	+43	-1	+1	-6	+16	5.3
2020	28	MLB	New York Mets	209	183	57	14	0	4	20	24	3	0	2	.311	.388	.454	.842	.142	.335	11	10	.372	143	+10	-1	+1	-2	+6	1.4
2021	29	MLB	New York Mets	426	386	97	19	1	7	29	58	10	3	0	.251	.320	.360	.680	.109	.280	14	7	.309	94	-3	+1	+4	+2	+12	1.6
2021	29	AAA	Syracuse Mets	16	15	6	2	0	1	1	4	0	0	0	.400	.438	.733	1.171	.333	.500	25	6	.504	244	+3	+0	—	—	+0	0.3
2022	30	MLB	New York Mets	589	533	174	39	1	9	40	61	11	4	0	.326	.385	.454	.839	.128	.353	10	7	.373	143	+29	+1	+5	+2	+17	5.5
2023	31	MLB	New York Mets	648	585	158	25	4	10	39	65	18	10	0	.270	.335	.378	.713	.108	.288	10	6	.320	103	+2	+2	+2	+2	+18	2.8
2024	32	MLB	New York Mets	472	424	101	26	0	12	35	68	9	5	1	.238	.310	.384	.694	.146	.256	14	7	.310	96	-2	+1	+0	+2	+13	1.4
2025	33	MLB	New York Mets	462	399	97	21	5	12	49	55	8	3	0	.243	.338	.411	.749	.168	.253	12	11	.332	112	+6	+1	+1	+2	+13	2.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3621	3245	920	193	18	80	261	430	85	37	10	.284	.353	.428	.781	.145	.305	12	7	.347	124	+98	+3	+16	+3	+103	22.8

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
Jeff McNeil (OGILVIE)	34	55	40	45	45	.265/.342/.403	.138	.281	9	5	10%	8%	115	+2.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Denard Span 2018 · MLB	34	54→64	47→50	49→55	54	.267/.328/.406	.140	.284	14	14	12%	8%	108	+2.3	.260/.333/.412	.152	.291	14	12	15%	9%	112	+2.6	.261/.346/.415	.154	.299	12	11	16%	10%	115	+2.3
✕Gerald Laird 2014 · MLB	34	54→47	42→50	45→50	54	.257/.327/.366	.110	.292	8	6	15%	8%	98	+1.6	.234/.303/.331	.097	.283	7	6	19%	8%	79	+0.3	.203/.274/.256	.053	.259	0	0	20%	8%	37	-0.7
✕Mark Kotsay 2010 · MLB	34	54→63	42→50	43→50	53	.259/.312/.369	.111	.276	9	7	10%	7%	92	+1.2	.251/.310/.366	.115	.270	10	6	11%	8%	91	+1.1	.247/.310/.353	.106	.264	9	3	10%	8%	78	+0.1
✕Ricky Gutierrez 2004 · MLB	34	56→58	41→45	42→45	51	.267/.323/.365	.098	.289	9	4	11%	6%	96	+1.5	.223/.287/.300	.077	.261	6	6	16%	7%	64	-0.8	.188/.259/.213	.025	.228	0	4	16%	7%	29	-0.7
✕Hector Garanzuay 2015 · AAA	34	57→61	44→45	39→50	47	.279/.319/.398	.119	.312	12	6	15%	5%	103	+1.9	.257/.304/.350	.093	.291	9	6	14%	6%	84	+0.6	.247/.301/.310	.064	.277	6	4	13%	6%	72	-0.1
✕Skip Schumaker 2014 · MLB	34	56→64	38→45	41→50	52	.264/.326/.347	.084	.306	4	4	15%	8%	92	+1.2	.247/.308/.338	.091	.300	5	6	18%	8%	82	+0.5	.240/.299/.323	.082	.297	3	4	19%	8%	69	-0.2
✕Timo Perez 2008 · MLB	33	54→60	46→50	46→50	48	.264/.304/.402	.138	.279	13	10	11%	5%	98	+1.6	.263/.310/.397	.134	.278	13	15	11%	6%	99	+1.7	.259/.310/.382	.123	.273	12	16	10%	6%	94	+0.8
✕Yosmany Guerra 2017 · AAA	34	54→60	40→45	43→45	53	.259/.323/.354	.095	.298	7	8	15%	8%	92	+1.2	.266/.321/.377	.111	.309	6	7	15%	7%	98	+1.6	.276/.332/.398	.122	.321	6	5	15%	7%	106	+1.6
✕Melky Cabrera 2019 · MLB	34	57→67	47→50	45→50	50	.282/.328/.424	.142	.302	14	3	12%	6%	114	+2.7	.271/.313/.401	.130	.293	13	6	12%	5%	101	+1.8	.286/.318/.404	.118	.305	11	3	10%	4%	97	+1.0
✕Tike Redman 2011 · AAA	34	58→60	40→45	49→55	54	.276/.334/.377	.101	.302	7	14	11%	8%	103	+1.9	.258/.325/.349	.091	.294	5	12	13%	9%	92	+1.2	.259/.332/.310	.051	.302	0	8	13%	9%	82	+0.3
✕Jose Espinoza 2008 · AAA	34	56→57	43→45	43→45	52	.270/.334/.385	.116	.307	9	6	15%	8%	106	+2.2	.264/.323/.366	.102	.313	9	9	18%	7%	96	+1.5	.269/.329/.360	.091	.321	8	8	18%	7%	93	+0.8
✕Brendan Harris 2015 · MLB	34	47→57	45→50	42→45	52	.232/.308/.359	.127	.270	12	5	19%	9%	89	+0.9	.224/.300/.328	.104	.269	10	7	20%	9%	78	+0.2	.209/.302/.276	.067	.251	5	0	17%	10%	64	-0.2
✕Kevan Smith 2021 · MLB	33	51→54	46→50	49→40	49	.254/.319/.385	.131	.287	14	6	17%	7%	100	+1.7	.223/.296/.338	.115	.295	11	8	26%	9%	79	+0.3	.163/.242/.193	.030	.240	0	0	29%	9%	2	-0.9
✕Gabe Kapler 2008 · MLB	33	52→60	45→55	47→55	51	.252/.316/.384	.131	.279	12	8	15%	7%	98	+1.6	.259/.322/.429	.170	.289	18	9	16%	8%	113	+2.6	.254/.322/.423	.170	.282	17	9	16%	9%	108	+0.8
✕Jason Kipnis 2021 · MLB	34	45→55	50→55	49→55	53	.232/.308/.391	.159	.265	18	8	20%	9%	97	+1.5	.243/.320/.413	.170	.303	20	7	25%	9%	108	+2.3	.237/.318/.414	.178	.297	22	2	27%	8%	104	+0.8
✕Chris Gomez 2005 · MLB	34	55→54	42→45	43→40	50	.262/.309/.368	.106	.282	8	5	11%	6%	91	+1.1	.273/.331/.359	.086	.297	6	6	10%	8%	97	+1.5	.291/.344/.365	.074	.316	4	4	9%	7%	99	+0.6
✕Jon Jay 2019 · MLB	34	57→65	38→45	47→50	48	.269/.334/.352	.083	.326	4	6	18%	7%	98	+1.6	.254/.309/.337	.083	.306	6	6	18%	6%	82	+0.5	.267/.305/.311	.044	.329	0	2	18%	4%	71	-0.1
●Jesse Castillo 2017 · AAA	34	55→62	44→45	48→50	51	.270/.330/.388	.119	.316	12	15	18%	8%	105	+2.1	.269/.325/.412	.143	.311	17	12	18%	8%	109	+2.4	.286/.341/.444	.158	.317	21	10	16%	7%	126	+2.8
✕Eddy Diaz 2006 · AAA	34	54→57	48→50	44→45	52	.267/.317/.406	.139	.276	16	7	11%	7%	105	+2.1	.251/.302/.371	.120	.268	13	5	12%	7%	89	+1.0	.247/.300/.348	.102	.263	12	0	11%	6%	80	+0.3
✕Edgar Gonzalez 2012 · MLB	34	53→57	44→45	46→50	47	.258/.309/.376	.117	.299	12	11	18%	6%	93	+1.3	.243/.288/.355	.112	.299	11	15	22%	6%	79	+0.3	.211/.245/.310	.098	.282	11	23	29%	4%	43	-0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)