Paul Goldschmidt

Paul Goldschmidt1B New York Yankees

Age 38 R/R 6'2" / 225 lbs MLB HR +8%BB +8% Svc 14.343 · Ctrl thru 2026 peak 1.0 · 2026

wRC+†vL 153121vR 74

AVG/OBP/SLG.271 / .336 / .449

PA374

HR13

SB5

K%22

BB%8

MLB%100%

Scouting · now → future

HIT

55→55

PWR

70→70

SPD

46→46

FLD

50→50

EYE

46↗53

trajectory · 10 yrs

1.1peak

2026

Contract

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

Status FA

MLB Debut 2011

Service 14.343 yrs.days

Team Control Through 2026

First FA Year 2027

NTCOPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$4M	+1.0	$8M	+$4M
Totals		$4M		$8M	+$4M

Options · projected decision
2027	CLUB OPT	$2019.0M / $0.0M buyout	DECLINE
2028	CLUB OPT	$14.5M / $2.0M buyout	DECLINE

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	21	ROK	Missoula Osprey	331	301	69	18	2	13	22	107	3	4	3	.229	.288	.432	.720	.203	.301	32	7	.303	90	-4	-0	+0	-6	+9	-0.1
2010	22	A+	Visalia Rawhide	599	543	141	33	2	30	39	206	8	5	1	.260	.319	.494	.812	.234	.351	34	7	.345	122	+15	+1	+0	-11	+17	2.2
2011	23	AA	2 teams	634	553	137	27	4	34	71	173	5	13	3	.248	.339	.495	.834	.248	.293	27	11	.363	136	+26	+1	-4	-11	+18	3.1
2012	24	MLB	Arizona Diamondbacks	587	514	146	42	1	19	60	130	4	18	3	.284	.363	.481	.844	.196	.340	22	10	.353	128	+19	+2	-13	-10	+17	1.4
2013	25	MLB	Arizona Diamondbacks	710	603	181	36	2	35	99	145	3	15	7	.300	.401	.541	.942	.240	.341	20	14	.384	152	+42	+0	-10	-13	+20	4.1
2014	26	MLB	Arizona Diamondbacks	479	410	119	37	1	19	64	110	2	9	3	.290	.389	.524	.913	.234	.352	23	13	.377	147	+25	+1	-8	-9	+14	2.4
2015	27	MLB	Arizona Diamondbacks	695	568	178	35	1	36	118	151	2	21	5	.313	.433	.569	1.002	.255	.366	22	17	.397	162	+49	+2	-7	-12	+20	5.2
2016	28	MLB	Arizona Diamondbacks	705	580	171	34	3	22	110	150	7	32	5	.295	.413	.478	.891	.183	.358	21	16	.377	146	+37	+4	-7	-13	+20	4.3
2017	29	MLB	Arizona Diamondbacks	665	559	162	30	3	34	94	147	8	18	5	.290	.399	.537	.936	.247	.335	22	14	.389	156	+42	+2	-2	-12	+19	4.9
2018	30	MLB	Arizona Diamondbacks	690	594	172	36	4	35	90	173	6	7	4	.290	.388	.540	.929	.251	.355	25	13	.388	155	+43	-0	-9	-12	+20	4.2
2019	31	MLB	St. Louis Cardinals	682	599	160	27	1	39	78	166	2	3	1	.267	.353	.511	.864	.244	.305	24	11	.370	142	+32	+0	-1	-12	+19	3.9
2020	32	MLB	St. Louis Cardinals	231	192	61	15	0	6	37	43	1	1	0	.318	.430	.490	.920	.172	.382	19	16	.398	163	+16	+0	+0	-4	+7	2.0
2021	33	MLB	St. Louis Cardinals	679	603	177	35	2	34	67	136	4	12	0	.294	.368	.527	.895	.234	.326	20	10	.385	152	+40	+2	-2	-12	+19	4.9
2022	34	MLB	St. Louis Cardinals	651	563	176	42	0	33	79	141	5	7	0	.313	.402	.563	.965	.250	.364	22	12	.414	175	+55	+1	-9	-12	+18	5.5
2023	35	MLB	St. Louis Cardinals	687	594	157	33	0	25	87	161	3	11	2	.264	.361	.446	.807	.182	.321	23	13	.349	125	+19	+1	-3	-12	+19	2.6
2024	36	MLB	St. Louis Cardinals	654	603	145	32	1	22	47	173	2	11	0	.240	.298	.406	.704	.166	.300	26	7	.307	93	-5	+2	-6	-12	+19	-0.2
2025	37	MLB	New York Yankees	534	492	140	35	1	9	36	100	4	5	1	.285	.338	.415	.753	.130	.340	19	7	.324	106	+4	+1	-7	-10	+15	0.3
▸ 2026 Season (actual · ROS · total)
2026	38	MLB	New York Yankees	29	24	3	2	0	1	4	8	1	0	0	.125	.276	.333	.609	.208	.133	28	14	.279	72	-1	+0	+0	-1	+1	-0.0
ROS	38	MLB	NYY	345	311	85	19	1	12	29	75	2	5	2	.273	.339	.457	.796	.183	.322	22	8	.349	125	+10	+0	-3	-6	+10	1.0
TOT	38	MLB	NYY	374	335	88	21	1	13	33	83	3	5	2	.263	.334	.448	.782	.185	.311	22	9	.343	121	+9	+0	-3	-7	+11	1.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	39	MLB	NYY	260	236	62	14	0	8	21	58	1	2	1	.263	.326	.424	.749	.161	.315	22	8	.335	115	+4	+0	-11	-5	+7	-0.4
2028	40	MLB	NYY	187	169	44	9	0	6	15	41	1	2	0	.260	.324	.420	.744	.160	.311	22	8	.329	110	+2	+0	-11	-3	+5	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			11005	9587	2683	589	29	471	1263	2586	73	201	46	.280	.368	.495	.863	.215	.335	23	11	.366	138	+471	+22	-112	-197	+312	50.6
/ 162G	—			650	566	159	35	2	28	75	153	4	12	3	.281	.369	.498	.867	.217	.336	24	12	.366	138	+28	+1	-7	-12	+18	3.0

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	21	ROK	Missoula Osprey	331	287	96	27	3	18	36	74	3	4	3	.334	.414	.638	1.052	.303	.390	22	11	.446	200	+37	-0	—	—	+9	4.7
2010	22	A+	Visalia Rawhide	599	525	165	42	3	35	57	161	8	5	1	.314	.390	.606	.996	.291	.385	27	10	.424	183	+56	+1	—	—	+17	7.5
2011	23	MLB	Arizona Diamondbacks	177	156	39	9	1	8	20	53	0	4	0	.250	.335	.474	.810	.224	.323	30	11	.355	130	+6	+1	-4	-11	+5	-0.4
2011	23	AA	Mobile BayBears	457	366	112	21	3	30	82	92	5	9	3	.306	.439	.626	1.065	.320	.331	20	18	.454	206	+55	+1	—	—	+13	7.0
2012	24	MLB	Arizona Diamondbacks	587	514	147	43	1	20	60	130	4	18	3	.286	.365	.490	.855	.204	.340	22	10	.372	143	+28	+2	-13	-10	+17	2.4
2013	25	MLB	Arizona Diamondbacks	710	602	182	36	3	36	99	145	3	15	7	.302	.403	.551	.954	.249	.343	20	14	.414	175	+60	+0	-10	-13	+20	6.0
2014	26	MLB	Arizona Diamondbacks	479	406	122	39	1	19	64	110	2	9	3	.300	.395	.542	.937	.241	.368	23	13	.406	169	+37	+1	-8	-9	+14	3.6
2015	27	MLB	Arizona Diamondbacks	695	567	182	38	2	33	118	151	2	21	5	.321	.439	.570	1.009	.249	.382	22	17	.436	192	+72	+2	-7	-12	+20	7.6
2016	28	MLB	Arizona Diamondbacks	705	579	172	33	3	24	110	150	7	32	5	.297	.415	.489	.903	.192	.358	21	16	.398	163	+50	+4	-7	-13	+20	5.6
2017	29	MLB	Arizona Diamondbacks	665	558	166	34	3	36	94	147	8	18	5	.297	.405	.563	.968	.265	.343	22	14	.420	179	+60	+2	-2	-12	+19	6.7
2018	30	MLB	Arizona Diamondbacks	690	593	172	35	5	33	90	173	6	7	4	.290	.388	.533	.921	.243	.359	25	13	.404	167	+52	-0	-9	-12	+20	5.1
2019	31	MLB	St. Louis Cardinals	682	597	155	25	1	34	78	166	2	3	1	.260	.346	.476	.822	.216	.302	24	11	.361	135	+27	+0	-1	-12	+19	3.4
2020	32	MLB	St. Louis Cardinals	231	191	58	13	0	6	37	43	1	1	0	.304	.417	.466	.883	.162	.364	19	16	.394	160	+16	+0	+0	-4	+7	1.9
2021	33	MLB	St. Louis Cardinals	679	603	177	36	2	31	67	136	4	12	0	.294	.368	.514	.882	.221	.331	20	10	.385	153	+40	+2	-2	-12	+19	4.9
2022	34	MLB	St. Louis Cardinals	651	561	178	41	0	35	79	141	5	7	0	.317	.405	.578	.982	.260	.368	22	12	.425	183	+61	+1	-9	-12	+18	6.2
2023	35	MLB	St. Louis Cardinals	687	593	159	31	0	25	87	161	3	11	2	.268	.364	.447	.811	.179	.327	23	13	.361	134	+27	+1	-3	-12	+19	3.3
2024	36	MLB	St. Louis Cardinals	654	599	147	33	1	22	47	173	2	11	0	.245	.301	.414	.715	.169	.308	26	7	.316	100	-0	+2	-6	-12	+19	0.3
2025	37	MLB	New York Yankees	534	489	134	31	1	10	36	100	4	5	1	.274	.327	.403	.730	.129	.325	19	7	.325	107	+4	+1	-7	-10	+15	0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			8826	7608	2190	477	24	372	1086	1979	53	174	36	.288	.380	.504	.883	.216	.342	22	12	.387	154	+540	+20	-87	-166	+250	56.9

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
Paul Goldschmidt (OGILVIE)	38	55	70	46	53	.271/.336/.449	.178	.322	13	5	22%	8%	125	+2.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ruben Sierra 2004 · MLB	38	53→54	53→60	48→40	51	.271/.321/.448	.177	.286	21	5	15%	7%	117	+2.9	.247/.301/.417	.170	.271	21	4	17%	7%	101	+1.8	.235/.285/.419	.184	.253	24	1	18%	7%	88	+0.4
✕Marquis Grissom 2005 · MLB	38	55→59	54→60	49→50	47	.282/.320/.460	.178	.299	22	7	15%	5%	120	+3.1	.251/.296/.395	.144	.272	17	7	15%	6%	93	+1.3	.203/.237/.281	.078	.220	10	4	14%	4%	36	-0.7
●Jeff Conine 2004 · MLB	38	56→63	50→55	50	53	.280/.339/.443	.163	.295	17	8	12%	8%	124	+3.4	.277/.338/.422	.145	.304	14	6	13%	8%	117	+2.9	.277/.342/.406	.129	.309	11	4	13%	8%	109	+2.0
✕Yuli Gurriel 2022 · MLB	38	58→64	52→60	41→50	54	.291/.350/.463	.172	.301	19	3	12%	8%	133	+4.0	.252/.311/.379	.127	.278	11	8	14%	7%	95	+1.4	.234/.293/.353	.119	.263	10	10	15%	7%	77	+0.1
●Matt Stairs 2006 · MLB	38	53→55	55→65	41→45	59	.272/.362/.464	.192	.299	22	3	17%	12%	138	+4.4	.264/.347/.454	.190	.300	22	3	19%	11%	130	+3.8	.261/.346/.457	.196	.298	24	2	20%	11%	121	+2.1
●Raul Ibanez 2011 · MLB	39	54→61	55→60	44→45	55	.275/.347/.475	.200	.306	22	4	18%	10%	135	+4.2	.250/.312/.444	.194	.277	23	4	19%	8%	113	+2.6	.241/.300/.447	.206	.262	27	2	20%	7%	103	+1.6
✕Paul Konerko 2014 · MLB	38	53→59	51→65	43→30	57	.269/.346/.421	.152	.287	20	2	14%	10%	121	+3.2	.236/.299/.369	.133	.271	16	4	19%	7%	88	+0.9	.201/.251/.315	.114	.240	14	0	23%	4%	49	-0.7
✕Jayson Werth 2017 · MLB	38	49→59	51→60	48→55	57	.247/.339/.411	.164	.291	18	6	21%	11%	115	+2.8	.228/.312/.393	.165	.278	19	7	24%	10%	100	+1.7	.204/.291/.366	.162	.248	19	6	25%	10%	82	+0.2
✕Brian Jordan 2005 · MLB	38	53→57	49→55	42→45	51	.263/.324/.418	.155	.287	17	5	15%	8%	111	+2.5	.246/.302/.376	.130	.287	14	7	19%	7%	91	+1.1	.249/.300/.363	.114	.298	13	4	21%	6%	87	+0.3
✕Darin Ruf 2023 · MLB	37	47→53	55→60	50→40	56	.242/.342/.429	.187	.302	23	5	27%	12%	121	+3.2	.226/.318/.371	.145	.301	16	6	28%	11%	97	+1.5	.176/.281/.254	.078	.266	5	0	32%	13%	49	-0.3
✕Matt Holliday 2018 · MLB	38	47→57	54→65	46→50	54	.244/.329/.426	.182	.280	22	3	21%	10%	115	+2.8	.247/.332/.420	.173	.300	21	5	24%	11%	115	+2.8	.272/.378/.430	.158	.341	19	0	23%	14%	134	+0.9
✕Olmedo Saenz 2007 · MLB	36	51	60	42→30	49	.270/.338/.493	.223	.302	28	3	21%	8%	137	+4.3	.246/.327/.434	.188	.281	22	6	21%	9%	117	+2.9	.184/.295/.333	.149	.200	18	0	19%	12%	77	+0.0
✕José Abreu 2023 · MLB	36	57→64	54→65	46→40	52	.286/.364/.469	.183	.328	21	2	19%	9%	141	+4.5	.250/.315/.399	.149	.293	18	2	20%	7%	102	+1.9	.223/.281/.361	.138	.260	18	0	22%	6%	75	-0.0
✕Michael Cuddyer 2015 · MLB	36	59→65	55→60	50	51	.297/.353/.497	.200	.332	22	11	18%	8%	143	+4.7	.276/.329/.434	.158	.326	17	7	20%	7%	117	+2.9	.270/.320/.401	.131	.329	15	3	22%	6%	103	+1.3
✕Shin-Soo Choo 2020 · MLB	38	52→62	52→55	51→55	58	.257/.361/.426	.169	.315	20	10	24%	12%	128	+3.7	.255/.347/.430	.175	.317	21	14	25%	11%	124	+3.4	.235/.325/.408	.173	.284	26	28	26%	10%	102	+0.4
✕Karim Garcia 2014 · AAA	38	50→52	55→60	48→50	42	.258/.300/.435	.177	.307	24	9	25%	5%	105	+2.1	.229/.265/.380	.151	.270	20	5	23%	5%	76	+0.1	.208/.244/.340	.132	.240	18	0	22%	5%	56	-0.6
✕Garret Anderson 2010 · MLB	38	56→61	49→65	45	48	.277/.316/.425	.148	.297	16	4	13%	5%	109	+2.4	.239/.281/.367	.128	.273	14	6	18%	5%	79	+0.3	.178/.204/.270	.091	.215	7	4	21%	3%	14	-1.1
✕Tony Clark 2009 · MLB	37	45→55	55→70	47→30	54	.238/.326/.420	.182	.291	25	3	27%	11%	113	+2.6	.231/.325/.406	.175	.291	21	6	27%	12%	108	+2.3	.165/.277/.371	.205	.179	27	0	27%	13%	79	+0.0
✕Ray Martinez 2007 · AAA	38	51→56	51→50	51→45	52	.260/.337/.419	.159	.297	19	11	19%	9%	117	+2.9	.259/.315/.392	.133	.300	15	8	19%	7%	100	+1.7	.279/.325/.400	.121	.324	14	5	18%	6%	104	+1.0
✕Mario Valenzuela 2014 · AAA	37	53→58	53→60	41→40	44	.272/.321/.440	.168	.322	22	4	23%	6%	115	+2.8	.242/.289/.361	.119	.315	14	5	27%	6%	81	+0.4	.235/.287/.345	.109	.296	14	1	25%	6%	73	-0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)