Luis Arraez — OGILVIE

Luis ArraezIF San Francisco Giants

Age 29 L/R 5'10" / 186 lbs MLB BB -3% Svc 6.703 · Ctrl thru 2026 peak 2.6 · 2026

wRC+†vL 74108vR 110

AVG/OBP/SLG.304 / .342 / .400

PA675

HR7

SB13

K%4

BB%5

MLB%100%

Scouting · now → future

HIT

60→60

PWR

35→35

SPD

45→45

EYE

37↗40

trajectory · 10 yrs

2.9peak

2026

Contract

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

Status FA

MLB Debut 2019

Service 6.703 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$12M	+2.6	$21M	+$9M
Totals		$12M		$21M	+$9M

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
2014	17	ROK	DSL Twins	135	121	36	5	0	0	10	13	2	10	5	.298	.361	.339	.700	.041	.330	10	7	.304	91	-1	+0	+0	+0	+4	0.3
2015	18	ROK	2 teams	281	257	66	14	1	0	13	17	5	10	9	.257	.305	.319	.625	.062	.273	6	5	.271	66	-11	-2	+0	+1	+8	-0.4
2016	19	A	2 teams	717	673	214	35	4	3	30	91	1	8	4	.318	.348	.395	.743	.077	.361	13	4	.319	102	+2	+0	+0	+3	+20	2.5
2018	21	A+	3 teams	599	554	160	26	4	4	29	80	3	5	4	.289	.328	.372	.699	.083	.328	13	5	.302	89	-7	-1	+0	+2	+17	1.1
2019	22	MLB	3 teams	603	546	179	26	2	4	52	48	1	6	5	.328	.387	.405	.792	.077	.351	8	9	.349	125	+17	-1	-8	+2	+17	2.8
2020	23	MLB	Minnesota Twins	121	112	35	8	0	0	8	11	0	0	0	.312	.358	.384	.742	.071	.343	9	7	.325	107	+1	+0	-2	+0	+3	0.3
2021	24	MLB	Minnesota Twins	479	428	125	18	6	2	43	48	2	2	2	.292	.359	.376	.736	.084	.320	10	9	.322	105	+3	-0	-3	+2	+14	1.5
2022	25	MLB	Minnesota Twins	603	547	169	31	1	7	50	43	3	4	4	.309	.370	.408	.778	.099	.324	7	8	.345	122	+15	-1	-6	-11	+17	1.5
2023	26	MLB	Miami Marlins	617	574	192	29	2	10	35	34	4	3	2	.334	.377	.444	.821	.110	.341	6	6	.350	126	+18	-0	-10	+2	+17	2.8
2024	27	MLB	San Diego Padres	672	637	208	32	3	4	24	29	8	9	3	.327	.359	.405	.764	.078	.337	4	4	.333	113	+10	+1	-11	-12	+19	0.7
2025	28	MLB	San Diego Padres	675	620	182	33	4	7	34	21	2	11	4	.294	.332	.394	.726	.100	.292	3	5	.312	97	-3	+1	-10	-12	+19	-0.5
▸ 2026 Season (actual · ROS · total)
2026	29	MLB	San Francisco Giants	101	92	28	1	2	0	6	4	0	3	0	.304	.347	.359	.706	.054	.311	4	6	.307	93	-1	+1	+3	+0	+3	0.7
ROS	29	MLB	SF	574	537	165	24	5	5	29	25	3	10	2	.307	.346	.399	.745	.091	.311	4	5	.330	111	+7	+1	-7	+2	+16	2.0
TOT	29	MLB	SF	675	629	193	25	7	5	35	29	3	13	2	.307	.346	.393	.739	.086	.313	4	5	.327	108	+6	+2	-4	+2	+19	2.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB	SF	663	621	188	27	5	5	34	46	3	10	2	.303	.342	.386	.728	.084	.319	7	5	.327	108	+6	+1	-10	+2	+19	1.8
2028	31	MLB	SF	648	607	183	26	5	5	33	48	3	6	1	.301	.341	.386	.726	.084	.318	7	5	.323	105	+4	+1	-11	+2	+18	1.5
2029	32	MLB	SF	629	589	175	24	5	4	32	50	3	4	0	.297	.337	.375	.712	.078	.316	8	5	.317	101	+1	+1	-11	+2	+18	1.0
2030	33	MLB	SF	599	561	164	22	5	3	30	52	3	1	0	.292	.332	.365	.697	.073	.314	9	5	.311	96	-2	+0	-12	+2	+17	0.5
2031	34	MLB	SF	550	516	147	19	4	2	27	52	2	0	0	.285	.323	.349	.672	.064	.313	9	5	.304	91	-6	+0	-12	+2	+16	0.0
2032	35	MLB	SF	492	463	129	16	4	1	24	52	2	0	0	.279	.317	.337	.654	.058	.311	11	5	.297	85	-8	+0	-12	+2	+14	-0.4
2033	36	MLB	SF	431	406	111	13	3	1	20	50	2	0	0	.273	.311	.328	.638	.054	.308	12	5	.288	79	-10	+0	-12	+2	+12	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			10088	9369	2828	428	63	67	557	810	52	99	47	.302	.344	.382	.727	.081	.323	8	6	.320	103	+35	+1	-139	-6	+286	18.1
/ 162G	—			650	604	182	28	4	4	36	52	3	6	3	.301	.344	.381	.724	.079	.322	8	6	.320	103	+2	+0	-9	-0	+18	1.2

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
2014	17	ROK	DSL Twins	135	115	40	6	0	0	16	9	2	10	5	.348	.436	.400	.836	.052	.374	7	12	.379	148	+7	+0	—	—	+4	1.1
2015	18	ROK	GCL Twins	233	207	64	15	1	0	19	10	4	8	8	.309	.378	.391	.770	.082	.323	4	8	.346	123	+6	-2	—	—	+7	1.1
2015	18	INTL	Navegantes del Magallanes	48	42	12	0	1	0	2	7	1	2	1	.286	.333	.333	.667	.048	.333	15	4	.285	77	-1	+0	—	—	+1	0.0
2016	19	A	Cedar Rapids Kernels	514	475	165	31	3	3	31	51	1	3	3	.347	.389	.444	.833	.097	.382	10	6	.368	140	+23	-1	—	—	+15	3.8
2016	19	INTL	Navegantes del Magallanes	203	182	61	8	6	0	15	15	0	5	1	.335	.386	.445	.831	.110	.361	7	7	.359	133	+8	+1	—	—	+6	1.4
2018	21	AA	Chattanooga Lookouts	195	178	53	6	0	2	13	16	1	2	0	.298	.349	.365	.714	.067	.315	8	7	.320	103	+1	+0	—	—	+6	0.7
2018	21	A+	Fort Myers Miracle	258	228	73	14	3	1	19	28	2	2	3	.320	.378	.421	.799	.101	.356	11	7	.347	123	+7	-1	—	—	+7	1.4
2018	21	INTL	Navegantes del Magallanes	146	137	46	8	2	0	8	9	0	1	1	.336	.372	.423	.796	.088	.357	6	5	.354	129	+5	-0	—	—	+4	0.9
2019	22	MLB	Minnesota Twins	366	326	109	20	1	4	36	29	1	2	2	.334	.402	.439	.841	.104	.355	8	10	.376	146	+19	-0	-8	+2	+10	2.3
2019	22	AAA	Rochester Red Wings	73	66	23	4	0	0	6	2	0	1	0	.348	.403	.409	.812	.061	.354	3	8	.363	136	+3	+0	—	—	+2	0.5
2019	22	AA	Pensacola Blue Wahoos	164	146	50	6	1	0	18	13	0	3	3	.342	.415	.397	.812	.055	.376	8	11	.371	142	+8	-1	—	—	+5	1.2
2020	23	MLB	Minnesota Twins	121	112	36	9	0	0	8	11	0	0	0	.321	.367	.402	.768	.080	.353	9	7	.344	121	+3	+0	-2	+0	+3	0.5
2021	24	MLB	Minnesota Twins	479	428	126	17	6	2	43	48	2	2	2	.294	.362	.376	.738	.082	.323	10	9	.331	111	+6	-0	-3	+2	+14	1.8
2022	25	MLB	Minnesota Twins	603	547	173	31	1	8	50	43	3	4	4	.316	.377	.420	.797	.104	.331	7	8	.357	132	+22	-1	-6	-11	+17	2.1
2023	26	MLB	Miami Marlins	617	574	203	30	3	10	35	34	4	3	2	.354	.395	.469	.863	.115	.362	6	6	.383	151	+36	-0	-10	+2	+17	4.6
2024	27	MLB	San Diego Padres	672	637	200	32	3	4	24	29	8	9	3	.314	.347	.392	.739	.078	.324	4	4	.331	112	+9	+1	-11	-12	+19	0.5
2025	28	MLB	San Diego Padres	675	620	181	30	4	8	34	21	2	11	4	.292	.331	.392	.723	.100	.289	3	5	.315	99	-1	+1	-10	-12	+19	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3533	3244	1028	169	18	36	230	215	20	31	17	.317	.366	.413	.779	.096	.329	6	7	.347	123	+94	-1	-51	-28	+100	11.6

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
Luis Arraez (OGILVIE)	29	60	35	45	40	.303/.342/.392	.089	.308	6	11	4%	5%	111	+2.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ramon Rios 2017 · AAA	29	63→68	39→40	48→50	44	.301/.325/.383	.082	.323	6	8	9%	3%	101	+1.8	.276/.304/.363	.087	.297	8	4	10%	3%	86	+0.8	.271/.298/.350	.079	.289	7	1	9%	2%	78	+0.1
●Tike Redman 2006 · MLB	29	57→60	41→45	52→55	49	.270/.309/.373	.103	.285	8	14	9%	5%	92	+1.2	.260/.302/.347	.087	.286	5	19	11%	5%	82	+0.5	.289/.342/.389	.100	.317	5	22	10%	7%	107	+1.6
✕Heber Gomez 2007 · AAA	29	57→62	39→40	45→50	52	.272/.324/.362	.090	.289	6	12	9%	6%	95	+1.4	.265/.319/.351	.086	.288	6	11	10%	6%	90	+1.0	.268/.323/.342	.074	.293	5	12	10%	6%	87	+0.5
●Skip Schumaker 2009 · MLB	29	59→64	41→45	48→50	50	.282/.331/.386	.104	.313	8	9	13%	7%	104	+2.0	.285/.343/.380	.095	.320	7	5	12%	8%	108	+2.3	.281/.342/.361	.080	.317	5	3	12%	8%	96	+1.2
✕Luis Borges 2009 · AAA	29	58→68	35→40	41→45	52	.269/.315/.335	.066	.289	2	5	8%	6%	84	+0.6	.283/.328/.356	.073	.306	3	5	8%	6%	95	+1.4	.300/.327/.368	.068	.326	2	7	8%	3%	92	+0.9
●Timo Perez 2004 · MLB	29	55→60	43→50	42→50	49	.264/.304/.382	.118	.274	10	9	8%	5%	92	+1.2	.245/.288/.357	.112	.259	11	8	10%	5%	79	+0.3	.278/.324/.414	.135	.292	12	15	9%	5%	107	+1.8
✕Jesus Romo 2012 · AAA	28	59→66	38→40	46→50	52	.281/.338/.360	.079	.324	5	11	14%	8%	100	+1.7	.265/.321/.364	.099	.314	8	8	17%	7%	95	+1.4	.263/.320/.351	.088	.318	7	0	18%	7%	89	+0.4
✕Joe Panik 2020 · MLB	29	54→62	42→50	46→45	55	.261/.324/.368	.107	.276	9	6	10%	8%	97	+1.5	.233/.306/.332	.099	.261	8	6	14%	9%	81	+0.4	.208/.288/.288	.079	.240	6	3	15%	9%	59	-0.4
✕David Fletcher 2022 · MLB	28	58→62	38→45	50	52	.272/.319/.356	.083	.295	5	10	10%	7%	91	+1.1	.251/.292/.325	.074	.275	5	10	10%	5%	72	-0.2	.244/.286/.303	.059	.270	4	10	11%	5%	60	-0.6
●Jon Jay 2014 · MLB	29	58→65	42→45	47→50	50	.276/.343/.383	.107	.319	8	13	16%	7%	109	+2.4	.270/.342/.354	.084	.323	6	8	17%	7%	102	+1.8	.272/.337/.349	.077	.335	3	5	18%	6%	94	+1.0
✕Hanser Alberto 2022 · MLB	29	57→63	43→45	47→50	44	.279/.306/.399	.121	.298	10	7	11%	3%	98	+1.6	.242/.277/.375	.133	.269	11	6	15%	4%	79	+0.3	.242/.256/.362	.120	.277	7	0	16%	2%	65	-0.2
✕Sergio Gastelum 2009 · AAA	30	59→64	40	46→50	50	.280/.345/.376	.095	.311	7	8	12%	6%	108	+2.3	.271/.333/.354	.083	.299	5	10	11%	6%	98	+1.6	.269/.332/.341	.073	.297	4	9	11%	6%	91	+0.8
●Oswaldo Morejon 2008 · AAA	29	57→67	41→45	46→50	51	.269/.328/.375	.106	.291	7	11	10%	6%	101	+1.8	.270/.327/.365	.095	.295	7	11	11%	6%	98	+1.6	.302/.348/.404	.102	.322	7	7	8%	4%	113	+1.8
✕Jesus Merchan 2010 · AAA	29	58→64	40→45	48→50	45	.279/.321/.377	.097	.308	7	7	12%	4%	98	+1.6	.262/.301/.340	.078	.297	4	4	13%	4%	79	+0.3	.277/.312/.346	.070	.306	4	2	11%	4%	81	+0.1
●Jeff Keppinger 2009 · MLB	29	61→70	40→45	42→40	54	.289/.336/.383	.094	.298	7	4	6%	6%	105	+2.1	.271/.325/.379	.108	.282	8	4	7%	7%	100	+1.7	.292/.339/.392	.100	.302	9	2	6%	6%	107	+1.8
●David Eckstein 2005 · MLB	30	57→64	38→40	49→55	53	.266/.334/.343	.077	.282	5	16	8%	7%	95	+1.4	.282/.345/.363	.081	.299	5	11	7%	7%	105	+2.1	.291/.353/.368	.076	.306	4	10	6%	6%	107	+2.2
✕Lorenzo Buelna 2009 · AAA	29	57→65	39→45	43→45	46	.272/.318/.363	.091	.313	6	7	15%	5%	93	+1.3	.267/.311/.351	.084	.307	7	8	15%	5%	87	+0.8	.270/.315/.351	.081	.308	8	7	14%	5%	85	+0.4
●Carlos Alberto Gastelum 2009 · AAA	29	56→66	38→40	49→55	50	.260/.309/.343	.083	.282	4	15	10%	6%	84	+0.6	.262/.308/.352	.090	.287	7	15	11%	5%	86	+0.8	.310/.352/.405	.095	.354	7	8	14%	5%	113	+2.1
✕Howie Clark 2004 · MLB	30	56→58	42→40	45→40	50	.269/.329/.381	.112	.295	8	7	12%	6%	103	+1.9	.263/.326/.374	.111	.283	10	6	11%	8%	99	+1.7	.265/.307/.367	.103	.281	8	4	9%	5%	86	+0.4
✕Miguel Rojas 2018 · MLB	29	57→60	39→45	42→50	51	.267/.321/.362	.096	.296	5	5	12%	7%	94	+1.3	.266/.319/.373	.107	.293	10	9	13%	6%	97	+1.5	.274/.332/.396	.122	.304	9	13	13%	7%	103	+1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)