Willson Contreras

Willson Contreras1B Boston Red Sox

Age 34 R/R 6'0" / 240 lbs MLB Svc 10.000 · Ctrl thru 2028 peak 4.5 · 2026

wRC+†vL 147138vR 125

AVG/OBP/SLG.258 / .357 / .471

PA483

HR21

K%25

BB%10

MLB%100%

Scouting · now → future

HIT

50→50

PWR

60→60

SPD

50→50

EYE

56↘45

trajectory · 10 yrs

2.4peak

2026

Contract

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

Status FA

MLB Debut 2016

Service 10.000 yrs.days

Team Control Through 2028

First FA Year 2029

NTCDEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$18M	+4.5	$36M	+$18M
2027	Ext / FA-deal	$17M	+3.2	$26M	+$9M
2028	Ext / FA-deal	$20M	+2.2	$19M	-$1M
Totals		$55M		$81M	+$26M

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
2009	17	ROK	DSL Cubs 2	130	116	18	4	1	1	6	37	6	2	2	.155	.234	.233	.467	.078	.218	28	5	.204	14	-13	-0	+0	+2	+4	-0.7
2010	18	ROK	DSL Cubs 2	74	67	18	2	1	0	5	9	2	2	0	.269	.338	.328	.666	.060	.310	12	7	.274	68	-3	+0	+0	+1	+2	0.1
2013	21	A	2 teams	361	334	66	9	4	9	18	90	7	8	3	.198	.253	.329	.583	.132	.242	25	5	.255	53	-19	+0	+0	+6	+10	-0.2
2014	22	A+	2 teams	391	356	72	15	2	5	25	121	5	5	5	.202	.264	.298	.562	.096	.286	31	6	.253	52	-21	-1	+0	+7	+11	-0.4
2015	23	AA	2 teams	582	526	158	36	4	8	45	94	7	4	4	.300	.363	.430	.793	.129	.350	16	8	.345	122	+15	-1	+0	+10	+16	4.2
2016	24	MLB	2 teams	523	465	140	29	4	21	45	107	10	6	6	.301	.375	.516	.891	.215	.350	20	9	.383	151	+30	-1	+8	+9	+15	6.2
2017	25	MLB	Chicago Cubs	428	377	104	21	0	20	45	98	3	5	4	.276	.358	.491	.848	.215	.322	23	11	.365	137	+18	-1	-0	+8	+12	3.8
2018	26	MLB	Chicago Cubs	544	474	117	27	4	11	53	121	13	4	1	.247	.339	.390	.729	.143	.308	22	10	.319	103	+2	+0	-4	+10	+15	2.3
2019	27	MLB	Chicago Cubs	409	360	94	17	1	26	38	102	9	1	2	.261	.346	.531	.877	.269	.291	25	9	.372	143	+20	-1	-2	+7	+12	3.7
2020	28	MLB	Chicago Cubs	225	189	47	10	0	7	20	57	14	1	2	.249	.363	.413	.776	.164	.315	25	9	.341	119	+5	-1	+6	+4	+6	2.2
2021	29	MLB	Chicago Cubs	483	413	94	21	0	20	52	138	14	5	4	.228	.334	.424	.758	.196	.286	29	11	.334	113	+7	-1	+6	+9	+14	3.5
2022	30	MLB	Chicago Cubs	487	416	100	24	2	23	45	103	24	4	2	.240	.348	.474	.822	.233	.264	21	9	.357	131	+17	+0	+3	+9	+14	4.3
2023	31	MLB	St. Louis Cardinals	495	428	113	29	0	20	51	111	13	6	3	.264	.360	.472	.832	.208	.311	22	10	.361	135	+19	+0	-1	+9	+14	4.2
2024	32	MLB	2 teams	380	322	81	17	0	15	46	102	12	4	1	.252	.366	.444	.810	.193	.322	27	12	.355	130	+13	+0	+2	+7	+11	3.3
2025	33	MLB	St. Louis Cardinals	563	491	127	30	1	21	44	142	23	5	1	.259	.348	.452	.800	.193	.319	25	8	.350	126	+16	+1	-0	-10	+16	2.3
▸ 2026 Season (actual · ROS · total)
2026	34	MLB	Boston Red Sox	101	84	21	2	0	4	12	28	5	0	0	.250	.376	.417	.793	.167	.327	28	12	.358	132	+4	+0	+3	-2	+3	0.8
ROS	34	MLB	BOS	382	326	85	17	0	17	39	97	14	3	1	.261	.364	.469	.833	.209	.318	25	10	.369	140	+17	+0	+2	+7	+11	3.8
TOT	34	MLB	BOS	483	410	106	19	0	21	51	125	19	3	1	.259	.367	.459	.825	.200	.320	26	11	.366	138	+21	+0	+5	+5	+14	4.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	35	MLB	BOS	418	357	90	18	0	17	43	87	15	3	1	.252	.357	.445	.802	.193	.286	21	10	.360	134	+16	+0	-4	+7	+12	3.2
2028	36	MLB	BOS	357	305	75	15	0	14	36	79	13	2	0	.246	.350	.433	.783	.187	.283	22	10	.350	126	+10	+0	-5	+6	+10	2.3
2029	37	MLB	BOS	293	251	60	12	0	11	29	67	11	1	0	.239	.344	.418	.762	.179	.278	23	10	.338	117	+6	+0	-6	+5	+8	1.4
2030	38	MLB	BOS	223	191	44	8	0	8	22	53	8	0	0	.230	.335	.398	.733	.168	.273	24	10	.326	108	+2	+0	-7	+4	+6	0.6
2031	39	MLB	BOS	150	130	28	5	0	5	14	36	5	0	0	.215	.315	.369	.685	.154	.266	24	9	.313	98	-0	+0	-8	+3	+4	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			7898	6894	1731	366	24	279	721	1851	228	71	42	.251	.342	.433	.774	.181	.302	23	9	.339	118	+157	-3	-10	+121	+224	49.9
/ 162G	—			650	567	142	30	2	23	59	152	19	6	3	.250	.341	.432	.773	.182	.301	23	9	.339	118	+13	+0	-1	+10	+18	4.1

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
2009	17	ROK	DSL Cubs 2	130	112	23	5	2	1	10	26	6	2	2	.205	.305	.312	.617	.107	.259	20	8	.282	74	-4	-0	—	—	+4	-0.1
2010	18	ROK	DSL Cubs 2	74	64	20	2	1	0	8	6	2	2	0	.312	.405	.375	.780	.062	.345	8	11	.360	133	+3	+0	—	—	+2	0.5
2013	21	A	Kane County Cougars	344	309	76	11	5	10	26	66	7	8	3	.246	.319	.411	.730	.165	.282	19	8	.324	106	+2	+0	—	—	+10	1.3
2013	21	INTL	Tigres de Aragua	17	15	5	1	0	0	2	5	0	0	0	.333	.412	.400	.812	.067	.500	29	12	.371	142	+1	+0	—	—	+0	0.1
2014	22	A+	Daytona Cubs	317	281	68	14	2	5	28	66	5	5	5	.242	.322	.359	.681	.117	.297	21	9	.307	93	-2	-1	—	—	+9	0.6
2014	22	INTL	Tigres de Aragua	74	66	18	1	1	5	6	20	0	0	0	.273	.333	.545	.879	.273	.302	27	8	.371	142	+4	+0	—	—	+2	0.6
2015	23	AA	Tennessee Smokies	521	454	151	34	4	8	57	62	7	4	4	.333	.415	.478	.893	.145	.370	12	11	.397	162	+36	-1	—	—	+15	5.1
2015	23	INTL	Mesa Solar Sox	61	53	15	5	0	3	7	9	0	0	0	.283	.367	.547	.914	.264	.286	15	11	.392	158	+4	+0	—	—	+2	0.6
2016	24	MLB	Chicago Cubs	283	252	71	14	1	12	26	67	4	2	2	.282	.358	.488	.846	.206	.339	24	9	.373	143	+14	-0	+8	+9	+8	3.9
2016	24	AAA	Iowa Cubs	240	204	72	16	3	9	28	32	6	4	4	.353	.445	.593	1.039	.240	.382	13	12	.450	202	+28	-1	—	—	+7	3.4
2017	25	MLB	Chicago Cubs	428	377	104	21	0	21	45	98	3	5	4	.276	.358	.499	.856	.223	.319	23	11	.375	145	+22	-1	-0	+8	+12	4.2
2018	26	MLB	Chicago Cubs	544	474	118	27	5	10	53	121	13	4	1	.249	.341	.390	.731	.141	.313	22	10	.329	110	+6	+0	-4	+10	+15	2.8
2019	27	MLB	Chicago Cubs	409	360	98	18	2	24	38	102	9	1	2	.272	.356	.533	.890	.261	.314	25	9	.387	154	+25	-1	-2	+7	+12	4.3
2020	28	MLB	Chicago Cubs	225	189	46	10	0	7	20	57	14	1	2	.243	.359	.407	.766	.164	.307	25	9	.346	123	+6	-1	+6	+4	+6	2.3
2021	29	MLB	Chicago Cubs	483	413	98	20	0	21	52	138	14	5	4	.237	.342	.438	.781	.201	.298	29	11	.347	124	+13	-1	+6	+9	+14	4.1
2022	30	MLB	Chicago Cubs	487	416	101	23	2	22	45	103	24	4	2	.243	.351	.466	.817	.224	.270	21	9	.362	135	+19	+0	+3	+9	+14	4.6
2023	31	MLB	St. Louis Cardinals	495	428	113	27	0	20	51	111	13	6	3	.264	.360	.467	.827	.203	.311	22	10	.366	138	+21	+0	-1	+9	+14	4.4
2024	32	MLB	St. Louis Cardinals	358	301	79	17	0	15	45	96	12	4	1	.262	.380	.468	.848	.206	.337	27	13	.379	148	+20	+0	+2	+7	+10	3.9
2024	32	AAA	Memphis Redbirds	22	21	3	0	0	0	1	5	0	0	0	.143	.182	.143	.325	.000	.188	23	5	.155	-23	-3	+0	—	—	+1	-0.2
2025	33	MLB	St. Louis Cardinals	563	490	126	31	1	20	44	142	23	5	1	.257	.346	.447	.793	.190	.319	25	8	.351	127	+17	+1	-0	-10	+16	2.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4275	3700	954	208	11	172	419	1035	129	37	22	.258	.353	.459	.813	.202	.311	24	10	.360	134	+163	-1	+17	+61	+121	36.8

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
Willson Contreras (OGILVIE)	34	50	60	50	45	.258/.362/.464	.206	.289	21	4	20%	10%	140	+3.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Josh Willingham 2012 · MLB	33	49→53	60	48→45	56	.258/.358/.478	.219	.297	27	7	23%	12%	141	+4.5	.241/.350/.457	.216	.286	27	4	25%	12%	132	+4.0	.226/.348/.431	.205	.272	26	2	26%	13%	118	+2.4
●Steve Pearce 2016 · MLB	33	48→57	59→60	48→50	52	.256/.333/.471	.215	.283	27	6	20%	9%	129	+3.7	.260/.338/.457	.197	.290	24	3	19%	9%	127	+3.6	.265/.349/.459	.194	.292	24	0	18%	10%	127	+1.9
✕David Dellucci 2008 · MLB	34	49→46	58→65	46→50	56	.257/.346/.472	.215	.295	25	6	22%	11%	134	+4.1	.241/.311/.398	.157	.290	16	7	22%	7%	100	+1.7	.234/.304/.380	.146	.285	14	6	22%	6%	89	+0.4
✕Eduardo Perez 2004 · MLB	34	49	57→60	46→50	54	.256/.336/.459	.203	.281	25	8	19%	10%	127	+3.6	.256/.341/.457	.201	.278	25	6	18%	10%	128	+3.7	.251/.345/.469	.217	.255	30	0	16%	11%	129	+1.2
✕Olmedo Saenz 2005 · MLB	34	51	58→60	46→30	50	.266/.343/.464	.198	.305	26	6	22%	8%	131	+3.9	.262/.331/.474	.212	.294	26	3	20%	8%	129	+3.7	.255/.330/.472	.216	.282	26	0	20%	8%	125	+1.3
★José Abreu 2022 · MLB	35	51→61	59→65	44→40	48	.270/.341/.485	.215	.307	27	2	22%	8%	136	+4.2	.270/.341/.433	.163	.315	19	2	20%	8%	122	+3.3	.264/.331/.405	.141	.308	16	0	19%	8%	107	+1.7
✕Jonny Gomes 2014 · MLB	33	47→52	56→60	46→50	55	.242/.346/.432	.191	.302	25	6	27%	12%	124	+3.4	.236/.331/.380	.144	.312	18	4	28%	11%	105	+2.1	.221/.322/.335	.114	.303	14	1	29%	11%	84	+0.3
★Paul Konerko 2010 · MLB	34	49→59	58→65	46→30	59	.261/.349/.471	.209	.269	26	2	15%	11%	135	+4.2	.283/.367/.483	.200	.302	26	2	15%	11%	145	+4.9	.288/.374/.479	.191	.307	25	0	15%	11%	134	+4.2
✕C.J. Cron 2022 · MLB	32	48→53	60→65	47→40	52	.257/.341/.476	.218	.289	28	3	22%	9%	134	+4.1	.244/.311/.423	.179	.294	22	2	24%	8%	108	+2.3	.237/.294/.403	.166	.287	21	0	25%	7%	89	+0.7
✕Adam LaRoche 2015 · MLB	35	46→55	58→65	47→40	59	.248/.340/.450	.203	.273	26	4	20%	12%	126	+3.5	.228/.317/.386	.158	.280	19	4	24%	11%	100	+1.7	.206/.293/.334	.128	.270	14	0	27%	10%	70	-0.3
✕Jesse Gutierrez 2012 · AAA	34	53→56	58→60	44→30	49	.279/.337/.480	.200	.296	26	2	16%	7%	133	+4.0	.259/.313/.423	.164	.291	20	3	19%	6%	108	+2.3	.247/.299/.376	.129	.289	15	0	20%	5%	88	+0.4
✕Justin Upton 2021 · MLB	33	45→55	58→65	42→55	50	.239/.326/.439	.200	.293	28	6	28%	10%	118	+3.0	.213/.298/.392	.179	.275	24	6	30%	10%	95	+1.4	.188/.280/.359	.170	.243	24	5	32%	10%	77	+0.0
●Hunter Pence 2017 · MLB	34	55→63	53→60	47→50	50	.277/.336/.457	.180	.319	21	7	20%	8%	126	+3.5	.263/.318/.416	.153	.313	19	6	21%	7%	107	+2.2	.260/.312/.409	.149	.309	19	6	22%	7%	100	+1.2
✕Mike Sweeney 2007 · MLB	34	54→64	57→60	47→45	54	.280/.345/.487	.207	.289	25	5	14%	8%	137	+4.3	.262/.322/.419	.157	.278	17	4	12%	7%	111	+2.5	.267/.327/.417	.150	.274	18	4	10%	7%	108	+0.8
●Carlos Lee 2010 · MLB	34	57→59	59→65	44→50	53	.299/.350/.510	.212	.290	27	6	9%	7%	146	+4.9	.267/.323/.433	.166	.268	19	4	9%	7%	115	+2.7	.256/.318/.399	.143	.260	15	3	9%	8%	96	+1.5
✕Juan Gonzalez 2004 · MLB	34	55→59	63→65	46→40	46	.294/.339/.531	.237	.317	31	4	19%	6%	147	+5.0	.268/.317/.461	.193	.294	25	6	18%	6%	120	+3.1	.273/.326/.437	.164	.288	22	0	14%	7%	111	+0.6
★Jermaine Dye 2008 · MLB	34	51→61	65→70	46→45	51	.278/.343/.531	.253	.292	34	7	19%	8%	149	+5.1	.272/.339/.504	.232	.290	30	3	18%	9%	140	+4.5	.271/.342/.497	.226	.287	30	1	17%	9%	135	+4.3
✕Mitch Moreland 2020 · MLB	34	45→55	58→60	47→40	54	.242/.321/.450	.207	.271	26	3	22%	10%	118	+3.0	.243/.314/.451	.208	.276	27	4	22%	9%	116	+2.8	.235/.303/.445	.211	.261	28	0	22%	8%	105	+0.7
✕Luis Alfonso Garcia 2014 · AAA	35	50→58	57→60	46→40	51	.261/.327/.451	.191	.294	26	4	21%	9%	121	+3.2	.249/.312/.430	.181	.279	25	3	21%	8%	109	+2.4	.242/.309/.405	.163	.272	24	1	21%	8%	100	+1.2
✕Adam Lind 2018 · MLB	35	51→61	57→60	43→40	53	.268/.333/.465	.197	.291	26	2	18%	9%	127	+3.6	.237/.288/.398	.161	.272	21	4	21%	7%	91	+1.1	.199/.237/.322	.123	.234	16	0	23%	5%	48	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)