Michael Conforto

Michael ConfortoLF Chicago Cubs

Age 33 L/R 5'11" / 215 lbs MLB BB +5%HR -4% Svc 9.250 · Ctrl thru 2026 peak 0.9 · 2026

wRC+†vL 146117vR 93

AVG/OBP/SLG.235 / .327 / .405

PA422

HR14

K%24

BB%11

MLB%100%

Scouting · now → future

HIT

50→50

PWR

55→55

SPD

40→40

EYE

56↘55

trajectory · 10 yrs

1.0peak

2026

Contract

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

Status FA

MLB Debut 2015

Service 9.250 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+0.9	$4M	+$2M
Totals		$2M		$4M	+$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
2015	22	A+	3 teams	597	547	141	34	3	18	41	122	5	1	2	.258	.315	.430	.745	.172	.299	20	7	.325	107	+4	-1	+4	-6	+17	1.8
2016	23	MLB	2 teams	492	436	113	28	3	18	46	113	7	4	3	.259	.339	.461	.800	.202	.308	23	9	.339	117	+10	-0	+1	-5	+14	1.9
2017	24	MLB	New York Mets	440	373	109	21	1	29	57	113	8	2	0	.292	.397	.587	.984	.295	.343	26	13	.415	176	+38	+0	+1	-5	+12	4.8
2018	25	MLB	New York Mets	638	543	140	28	1	29	84	159	7	3	4	.258	.364	.473	.838	.215	.309	25	13	.355	130	+22	-1	+2	-7	+18	3.5
2019	26	MLB	New York Mets	648	549	144	31	1	31	84	149	10	7	2	.262	.370	.492	.862	.230	.302	23	13	.369	141	+30	+1	-0	-7	+18	4.3
2020	27	MLB	New York Mets	233	202	66	11	0	9	24	57	7	3	3	.327	.416	.515	.931	.188	.419	24	10	.414	175	+20	-1	-3	-2	+7	2.1
2021	28	MLB	New York Mets	479	406	93	20	0	14	59	104	12	1	0	.229	.344	.382	.726	.153	.272	22	12	.323	105	+3	+0	-2	-5	+14	1.0
2023	30	MLB	San Francisco Giants	470	406	100	14	0	15	53	106	7	4	0	.246	.343	.392	.735	.145	.294	23	11	.321	104	+2	+1	-3	-5	+13	0.8
2024	31	MLB	San Francisco Giants	488	438	104	25	3	22	42	118	5	0	1	.237	.311	.459	.770	.221	.272	24	9	.336	116	+9	-0	-5	-5	+14	1.2
2025	32	MLB	Los Angeles Dodgers	486	418	82	19	0	10	56	121	9	1	0	.196	.304	.313	.618	.117	.248	25	12	.282	74	-14	+0	-9	-5	+14	-1.5
▸ 2026 Season (actual · ROS · total)
2026	33	MLB	Chicago Cubs	31	23	7	3	0	0	7	10	0	0	0	.304	.467	.435	.901	.130	.500	32	23	.394	160	+2	+0	-2	-0	+1	0.1
ROS	33	MLB	CHC	391	338	81	19	1	12	44	97	6	2	1	.240	.338	.408	.746	.169	.297	25	11	.334	114	+6	+0	-5	-4	+11	0.8
TOT	33	MLB	CHC	422	361	88	22	1	12	51	107	6	2	1	.244	.347	.410	.757	.166	.310	25	12	.339	117	+8	+0	-7	-5	+12	0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB	CHC	376	325	77	18	1	11	43	88	5	1	0	.237	.335	.400	.735	.163	.284	23	11	.328	109	+4	+0	-10	-4	+11	0.1
2028	35	MLB	CHC	323	280	64	15	1	9	36	79	4	0	0	.229	.325	.386	.711	.157	.281	24	11	.319	102	+1	+0	-10	-3	+9	-0.3
2029	36	MLB	CHC	264	229	51	12	0	7	29	67	4	0	0	.223	.321	.367	.687	.144	.278	25	11	.310	95	-1	+0	-10	-3	+7	-0.7
2030	37	MLB	CHC	201	174	37	8	0	5	22	53	3	0	0	.213	.312	.345	.656	.132	.273	26	11	.299	87	-3	+0	-10	-2	+6	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			6526	5664	1402	303	15	239	720	1546	99	29	16	.248	.343	.433	.775	.185	.297	24	11	.339	117	+128	-1	-58	-70	+185	18.8
/ 162G	—			650	564	139	30	1	24	72	154	10	3	2	.246	.342	.431	.773	.184	.295	24	11	.339	117	+13	-0	-6	-7	+18	1.9

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
2015	22	MLB	New York Mets	194	174	47	14	0	9	17	39	1	0	1	.270	.339	.506	.844	.236	.297	20	9	.366	138	+8	-0	+4	-6	+5	1.1
2015	22	AA	Binghamton Mets	197	173	55	12	3	5	23	35	1	1	0	.318	.401	.509	.910	.191	.376	18	12	.402	165	+15	+0	—	—	+6	2.1
2015	22	A+	St. Lucie Mets	206	184	52	12	0	7	17	26	3	0	1	.283	.353	.462	.815	.179	.294	13	8	.359	133	+8	-0	—	—	+6	1.3
2016	23	MLB	New York Mets	348	304	67	21	1	12	36	89	5	2	1	.220	.313	.414	.728	.194	.267	26	10	.322	105	+2	+0	+1	-5	+10	0.7
2016	23	AAA	Las Vegas 51s	144	128	54	8	2	9	13	18	2	2	2	.422	.479	.727	1.206	.305	.446	12	9	.517	254	+25	-0	—	—	+4	2.9
2017	24	MLB	New York Mets	440	373	104	20	1	27	57	113	8	2	0	.279	.386	.555	.941	.276	.328	26	13	.409	171	+35	+0	+1	-5	+12	4.6
2018	25	MLB	New York Mets	638	543	132	25	1	28	84	159	7	3	4	.243	.352	.448	.799	.204	.289	25	13	.355	130	+21	-1	+2	-7	+18	3.4
2019	26	MLB	New York Mets	648	549	141	29	1	33	84	149	10	7	2	.257	.365	.494	.859	.237	.290	23	13	.377	146	+34	+1	-0	-7	+18	4.7
2020	27	MLB	New York Mets	233	202	65	12	0	9	24	57	7	3	3	.322	.412	.515	.927	.193	.412	24	10	.411	173	+19	-1	-3	-2	+7	2.1
2021	28	MLB	New York Mets	479	406	94	20	0	14	59	104	12	1	0	.232	.346	.384	.730	.153	.276	22	12	.332	112	+7	+0	-2	-5	+14	1.3
2023	30	MLB	San Francisco Giants	470	406	97	14	0	15	53	106	7	4	0	.239	.337	.384	.721	.145	.284	23	11	.325	107	+4	+1	-3	-5	+13	1.0
2024	31	MLB	San Francisco Giants	488	438	104	27	3	20	42	118	5	0	1	.237	.311	.450	.761	.212	.277	24	9	.334	114	+8	-0	-5	-5	+14	1.1
2025	32	MLB	Los Angeles Dodgers	486	418	83	20	0	12	56	121	9	1	0	.199	.306	.333	.639	.134	.247	25	12	.293	83	-10	+0	-9	-5	+14	-1.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4424	3813	934	202	7	179	512	1055	71	23	12	.245	.345	.442	.788	.197	.290	24	12	.350	126	+129	-0	-14	-53	+125	19.0

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
Michael Conforto (OGILVIE)	33	50	55	40	55	.238/.336/.406	.168	.286	13	2	22%	11%	114	+1.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daryle Ward 2008 · MLB	33	55→56	52→60	39→30	57	.275/.352/.449	.174	.303	18	3	16%	10%	130	+3.8	.244/.323/.406	.162	.284	18	5	20%	10%	108	+2.3	.227/.301/.363	.136	.259	17	2	19%	9%	86	+0.3
✕Yonder Alonso 2019 · MLB	32	49→57	53→55	46→45	54	.253/.328/.427	.174	.286	22	3	20%	10%	115	+2.8	.231/.314/.391	.160	.269	20	3	21%	10%	100	+1.7	.202/.300/.343	.141	.235	16	0	21%	11%	76	+0.0
✕Todd Hollandsworth 2005 · MLB	32	55→56	52→55	43→50	52	.274/.339/.456	.182	.318	18	8	20%	9%	126	+3.5	.251/.304/.409	.158	.297	16	6	20%	7%	100	+1.7	.243/.288/.393	.150	.289	14	4	21%	6%	85	+0.3
✕Jason Kubel 2014 · MLB	32	48→57	53→60	41→40	50	.244/.315/.417	.173	.306	20	3	27%	9%	107	+2.2	.232/.310/.358	.126	.330	12	6	30%	10%	89	+1.0	.223/.311/.294	.071	.352	3	3	34%	11%	67	-0.2
✕Seth Smith 2017 · MLB	34	50→56	52→60	46→50	57	.253/.343/.430	.177	.292	18	2	20%	11%	122	+3.3	.254/.337/.427	.173	.299	20	5	21%	10%	119	+3.1	.256/.340/.425	.169	.303	19	3	21%	10%	111	+1.6
●Aaron Guiel 2006 · MLB	33	45→53	54→60	43→45	48	.235/.309/.420	.185	.266	22	6	21%	7%	106	+2.2	.232/.318/.424	.192	.268	23	6	22%	9%	111	+2.5	.222/.327/.430	.209	.249	25	3	22%	10%	115	+2.0
✕Garrett Jones 2015 · MLB	34	48→53	54→60	46→50	48	.248/.305/.433	.185	.284	22	3	21%	8%	107	+2.2	.236/.293/.390	.154	.284	18	5	23%	7%	91	+1.1	.213/.254/.347	.134	.257	17	0	24%	5%	62	-0.2
✕Matt Joyce 2018 · MLB	33	44→54	56→60	42→50	60	.232/.338/.430	.198	.264	24	4	22%	13%	120	+3.1	.247/.348/.416	.169	.293	20	4	21%	13%	121	+3.2	.251/.359/.382	.131	.309	15	1	22%	14%	111	+0.9
●Mitch Moreland 2019 · MLB	33	45→55	55→60	46→40	52	.237/.313/.427	.190	.270	23	3	22%	10%	109	+2.4	.243/.318/.454	.211	.275	27	3	22%	10%	118	+3.0	.239/.312/.465	.226	.261	31	1	22%	9%	115	+1.1
✕Brad Hawpe 2012 · MLB	33	53→59	52→60	42→40	54	.258/.346/.441	.182	.332	18	3	26%	12%	126	+3.5	.238/.317/.370	.132	.346	14	5	32%	10%	95	+1.4	.228/.314/.335	.107	.354	12	2	35%	11%	83	+0.2
●Aubrey Huff 2010 · MLB	33	53→60	53→60	38→45	53	.271/.333/.454	.183	.288	20	3	14%	8%	124	+3.4	.257/.336/.426	.169	.278	19	5	15%	10%	118	+3.0	.251/.338/.411	.160	.271	18	5	15%	11%	109	+1.8
●Adam Lind 2017 · MLB	34	52→61	55→60	41→40	52	.268/.332/.452	.184	.297	22	2	19%	9%	123	+3.3	.252/.308/.431	.179	.281	23	3	19%	8%	108	+2.3	.247/.300/.413	.166	.274	22	1	19%	7%	94	+0.6
●Adam LaRoche 2012 · MLB	32	49→55	53→65	42→40	52	.249/.324/.427	.178	.305	20	3	25%	10%	113	+2.6	.247/.331/.446	.199	.285	25	3	22%	11%	121	+3.2	.247/.340/.453	.206	.275	27	3	21%	12%	118	+3.0
✕Alex Dickerson 2022 · MLB	32	49→54	56→55	48→45	48	.255/.326/.453	.198	.293	24	4	22%	8%	121	+3.2	.222/.282/.386	.164	.268	20	5	25%	7%	85	+0.7	.196/.249/.341	.145	.238	17	1	25%	6%	56	-0.8
✕Lyle Overbay 2010 · MLB	33	52→62	50→55	43→40	60	.259/.350/.428	.169	.298	16	2	18%	12%	124	+3.4	.243/.329/.400	.157	.292	15	3	21%	11%	108	+2.3	.233/.316/.375	.143	.284	13	1	22%	10%	90	+0.7
✕John Mabry 2004 · MLB	33	47	54→60	46→30	51	.243/.317/.425	.181	.273	22	5	20%	8%	110	+2.4	.252/.321/.428	.176	.297	21	3	22%	9%	112	+2.6	.242/.310/.404	.162	.290	20	0	23%	9%	96	+0.6
●Greg Norton 2005 · MLB	33	46	50→60	43→40	52	.234/.312/.393	.159	.284	18	7	24%	10%	99	+1.7	.254/.328/.429	.175	.297	22	3	21%	10%	115	+2.8	.270/.367/.437	.168	.321	20	2	21%	13%	126	+1.7
✕Brian Daubach 2006 · MLB	34	50→52	52→60	43→40	55	.252/.334/.427	.175	.296	19	4	21%	11%	117	+2.9	.241/.318/.404	.163	.287	19	5	22%	9%	105	+2.1	.221/.309/.367	.147	.261	19	0	23%	9%	91	+0.5
✕Nick Martini 2023 · MLB	33	48→58	47→55	46→45	48	.237/.318/.372	.135	.301	15	7	25%	8%	97	+1.5	.231/.312/.396	.165	.282	19	3	24%	9%	101	+1.8	.218/.306/.374	.155	.263	17	0	23%	9%	90	+0.7
✕Ricky Ledee 2006 · MLB	32	50→47	53→60	50	54	.254/.332/.434	.180	.296	20	5	21%	10%	118	+3.0	.233/.295/.379	.146	.281	16	5	22%	8%	89	+0.9	.215/.269/.337	.122	.265	15	2	25%	6%	65	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)