Adam Frazier — OGILVIE

Adam Frazier2B Los Angeles Angels

Age 34 L/R 5'10" / 190 lbs MLB HR -5% Svc 9.436 · Ctrl thru 2026 peak 0.9 · 2026

wRC+†vL 5394vR 91

AVG/OBP/SLG.241 / .303 / .357

PA358

HR7

SB5

K%18

BB%6

MLB%100%

Scouting · now → future

HIT

50→50

PWR

35→35

SPD

45→45

EYE

44↗50

trajectory · 10 yrs

0.4peak

2026

Contract

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

Status FA

MLB Debut 2016

Service 9.436 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+0.9	$4M	+$2M
Totals		$2M		$4M	+$2M

Options · projected decision
2027	MUTUAL OPT	$2025.0M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$8.5M / $2.5M buyout	DECLINE
2029	MUTUAL OPT	$2025.0M / $2.5M 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
2014	22	A+	Bradenton Marauders	540	503	116	19	2	1	26	89	3	14	8	.231	.273	.282	.555	.052	.277	16	5	.245	46	-33	-0	+0	+2	+15	-1.7
2015	23	AA	2 teams	456	417	133	22	3	2	26	58	3	13	8	.319	.363	.400	.764	.082	.366	13	6	.328	109	+5	-1	+0	+2	+13	1.9
2016	24	AAA	2 teams	459	417	133	23	6	2	31	58	3	21	16	.319	.370	.417	.788	.098	.364	13	7	.339	118	+9	-2	-4	-5	+13	1.2
2017	25	MLB	Pittsburgh Pirates	454	406	109	20	6	6	36	57	8	9	5	.268	.340	.392	.732	.123	.298	13	8	.321	104	+2	-0	-8	-5	+13	0.1
2018	26	MLB	2 teams	489	442	114	27	4	10	37	76	4	2	6	.258	.321	.405	.726	.147	.290	16	8	.318	101	+1	-2	+1	+2	+14	1.6
2019	27	MLB	Pittsburgh Pirates	608	554	157	31	6	11	40	75	9	5	5	.283	.342	.421	.762	.137	.311	12	7	.326	108	+5	-1	+8	+2	+17	3.2
2020	28	MLB	Pittsburgh Pirates	230	209	47	6	0	8	17	35	3	1	3	.225	.293	.368	.661	.144	.235	15	7	.295	84	-4	-1	+4	+1	+7	0.7
2021	29	MLB	San Diego Padres	639	577	176	34	5	5	48	69	10	10	5	.305	.369	.407	.776	.102	.339	11	8	.340	119	+13	+0	+1	+2	+18	3.6
2022	30	MLB	Seattle Mariners	602	541	132	22	5	3	46	73	5	11	6	.244	.309	.320	.629	.076	.274	12	8	.277	71	-20	-0	+4	+2	+17	0.3
2023	31	MLB	Baltimore Orioles	455	413	98	21	2	12	32	68	4	11	4	.237	.298	.385	.683	.148	.257	15	7	.302	89	-6	+1	-10	+2	+13	0.0
2024	32	MLB	Kansas City Royals	294	262	53	10	1	4	22	59	7	3	0	.202	.282	.294	.576	.092	.246	20	7	.255	54	-15	+1	-1	+1	+8	-0.7
2025	33	MLB	Kansas City Royals	459	419	110	19	0	7	26	81	8	8	6	.263	.318	.358	.676	.095	.307	18	6	.297	85	-8	-1	+0	+2	+13	0.7
▸ 2026 Season (actual · ROS · total)
2026	34	MLB	Los Angeles Angels	47	38	10	1	1	1	6	14	1	0	0	.263	.378	.421	.799	.158	.391	30	13	.342	120	+1	+0	-1	+0	+1	0.2
ROS	34	MLB	LAA	311	281	68	12	1	6	22	60	5	5	1	.242	.308	.356	.664	.114	.287	19	7	.303	90	-3	+1	+0	+1	+9	0.7
TOT	34	MLB	LAA	358	319	78	13	2	7	28	74	6	5	1	.245	.317	.364	.681	.119	.296	21	8	.308	94	-2	+1	-1	+1	+10	0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	35	MLB	LAA	298	270	65	11	1	6	21	52	5	4	1	.241	.307	.356	.663	.115	.272	17	7	.295	84	-5	+0	-5	+1	+8	-0.1
2028	36	MLB	LAA	240	218	50	8	1	4	16	44	4	3	1	.229	.294	.330	.624	.101	.269	18	7	.285	76	-6	+0	-6	+1	+7	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			6534	5929	1561	285	43	87	446	954	81	120	75	.263	.323	.370	.693	.107	.300	15	7	.304	91	-66	-6	-15	+10	+185	11.0
/ 162G	—			650	590	155	28	4	9	44	95	8	12	7	.263	.322	.369	.692	.107	.299	15	7	.304	91	-7	-0	-2	+1	+18	1.1

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
2014	22	A+	Bradenton Marauders	540	492	124	21	2	1	37	61	3	14	8	.252	.308	.309	.617	.057	.285	11	7	.279	72	-17	-0	—	—	+15	-0.2
2015	23	AA	Altoona Curve	423	377	122	21	4	2	34	42	3	11	7	.324	.384	.416	.801	.093	.360	10	8	.353	129	+14	-1	—	—	+12	2.6
2015	23	INTL	Glendale Desert Dogs	33	28	9	1	3	0	4	5	0	2	1	.321	.406	.571	.978	.250	.375	15	12	.407	170	+3	+0	—	—	+1	0.4
2016	24	MLB	Pittsburgh Pirates	160	146	44	8	1	2	12	26	1	4	1	.301	.358	.411	.769	.110	.353	16	8	.344	121	+4	+0	-4	-5	+5	-0.0
2016	24	AAA	Indianapolis Indians	299	261	87	16	4	0	29	27	2	17	15	.333	.404	.425	.829	.092	.369	9	10	.366	138	+13	-3	—	—	+8	1.9
2017	25	MLB	Pittsburgh Pirates	454	406	112	20	6	6	36	57	8	9	5	.276	.347	.399	.746	.123	.306	13	8	.333	113	+7	-0	-8	-5	+13	0.6
2018	26	MLB	Pittsburgh Pirates	352	318	88	23	2	10	29	53	3	1	3	.277	.343	.456	.799	.179	.305	15	8	.352	128	+11	-1	+1	+2	+10	2.3
2018	26	AAA	Indianapolis Indians	137	121	27	5	2	0	11	20	1	1	3	.223	.293	.298	.591	.074	.262	15	8	.264	60	-6	-1	—	—	+4	-0.3
2019	27	MLB	Pittsburgh Pirates	608	554	154	33	7	10	40	75	9	5	5	.278	.337	.417	.754	.139	.306	12	7	.334	114	+10	-1	+8	+2	+17	3.7
2020	28	MLB	Pittsburgh Pirates	230	209	48	7	0	7	17	35	3	1	3	.230	.297	.364	.661	.134	.246	15	7	.297	86	-4	-1	+4	+1	+7	0.7
2021	29	MLB	San Diego Padres	639	577	176	36	5	5	48	69	10	10	5	.305	.369	.411	.779	.106	.339	11	8	.349	125	+18	+0	+1	+2	+18	4.1
2022	30	MLB	Seattle Mariners	602	541	129	22	4	3	46	73	5	11	6	.238	.304	.311	.615	.072	.268	12	8	.278	71	-20	-0	+4	+2	+17	0.3
2023	31	MLB	Baltimore Orioles	455	412	99	21	2	13	32	68	4	11	4	.240	.301	.396	.696	.155	.258	15	7	.307	93	-4	+1	-10	+2	+13	0.2
2024	32	MLB	Kansas City Royals	294	262	53	10	1	4	22	59	7	3	0	.202	.282	.294	.576	.092	.246	20	7	.264	60	-13	+1	-1	+1	+8	-0.5
2025	33	MLB	Kansas City Royals	459	419	112	20	0	7	26	81	8	8	6	.267	.322	.365	.687	.098	.312	18	6	.308	94	-3	-1	+0	+2	+13	1.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4253	3844	1015	200	28	67	308	596	58	63	38	.264	.328	.383	.711	.119	.296	14	7	.318	101	+6	-3	-4	+4	+121	12.6

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
Adam Frazier (OGILVIE)	34	50	35	45	50	.242/.309/.360	.118	.275	7	5	16%	7%	90	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Joe Thurston 2014 · AAA	34	49→58	44→45	47→50	49	.238/.307/.356	.119	.281	11	12	19%	8%	88	+0.9	.237/.298/.335	.098	.275	9	10	16%	7%	78	+0.2	.241/.300/.316	.076	.273	6	7	14%	7%	71	-0.2
✕Howie Clark 2008 · MLB	34	52→58	40	46→40	53	.248/.304/.340	.092	.264	8	7	10%	7%	81	+0.4	.255/.297/.361	.106	.273	9	6	10%	5%	83	+0.6	.272/.311/.376	.105	.289	7	3	9%	5%	90	+0.7
✕Charlie Culberson 2023 · MLB	34	49→52	45	48→50	44	.241/.290/.371	.130	.302	12	13	24%	6%	84	+0.6	.225/.273/.339	.114	.313	12	12	30%	6%	69	-0.4	.176/.203/.217	.041	.286	5	14	39%	3%	7	-0.8
✕Don Kelly 2014 · MLB	34	45→55	45	50→55	55	.220/.293/.334	.114	.237	13	9	14%	9%	76	+0.1	.218/.298/.308	.090	.255	8	10	17%	10%	71	-0.3	.196/.270/.241	.044	.246	1	9	19%	9%	38	-0.9
✕Ramiro Pena 2019 · MLB	34	49→56	44→45	44→50	44	.243/.289/.361	.118	.285	11	10	19%	5%	81	+0.4	.260/.294/.402	.142	.283	16	9	14%	4%	94	+1.3	.278/.306/.417	.139	.298	16	7	13%	3%	102	+1.3
✕Fernando Rios 2013 · AAA	34	49	41→40	49→50	47	.238/.287/.331	.094	.273	9	9	17%	6%	72	-0.2	.227/.274/.321	.094	.265	9	10	18%	5%	64	-0.8	.232/.273/.270	.038	.262	3	4	12%	5%	48	-0.4
✕Hector Paez 2012 · AAA	34	49	43→45	48→40	42	.239/.263/.341	.101	.255	11	7	12%	2%	64	-0.8	.229/.263/.342	.113	.249	13	5	14%	3%	66	-0.6	.218/.255/.328	.110	.235	14	1	14%	2%	58	-0.4
✕Rob Brantly 2023 · MLB	34	49→56	42→50	49→30	42	.237/.298/.344	.107	.283	10	6	20%	5%	81	+0.4	.232/.299/.337	.105	.279	9	5	20%	5%	80	+0.4	.221/.301/.315	.094	.266	8	0	19%	6%	73	-0.0
✕Matt Treanor 2010 · MLB	34	50	43→40	48→40	52	.244/.321/.355	.111	.292	11	5	20%	9%	94	+1.3	.215/.306/.309	.094	.258	10	6	19%	10%	76	+0.0	.195/.299/.272	.077	.236	8	4	19%	11%	59	-0.4
✕Quinton McCracken 2005 · MLB	34	54→63	40	47→50	51	.258/.315/.366	.108	.300	6	10	16%	8%	92	+1.2	.241/.301/.330	.089	.279	7	11	15%	8%	77	+0.1	.242/.301/.308	.066	.282	4	10	15%	8%	63	-0.3
✕Jesus Rivera 2011 · AAA	33	53→54	41→40	40	51	.256/.305/.354	.098	.275	8	4	11%	6%	85	+0.7	.244/.288/.335	.091	.270	8	4	12%	6%	72	-0.2	.276/.323/.333	.057	.323	2	4	14%	6%	87	+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
✕Francisco Arias 2012 · AAA	34	54→50	42→40	45	47	.260/.308/.367	.108	.278	8	7	11%	4%	91	+1.1	.241/.276/.311	.070	.262	4	4	10%	3%	62	-0.9	.240/.270/.288	.048	.258	2	0	8%	2%	49	-1.1
✕Gerardo Parra 2021 · MLB	34	50→60	45→50	49→55	49	.246/.308/.365	.118	.286	13	14	18%	7%	90	+1.0	.231/.306/.361	.130	.293	13	10	24%	9%	89	+0.9	.214/.297/.314	.100	.283	9	6	26%	10%	70	-0.1
✕Pablo Ozuna 2009 · MLB	34	54	41→40	45→55	48	.260/.303/.364	.103	.278	8	13	10%	5%	87	+0.8	.248/.296/.353	.105	.283	7	14	14%	5%	81	+0.4	.269/.309/.358	.088	.317	0	20	14%	3%	83	+0.2
✕Ramón Vázquez 2011 · MLB	34	51→59	40→45	46→50	53	.241/.316/.339	.098	.297	7	4	20%	10%	87	+0.8	.231/.294/.312	.081	.286	6	6	20%	8%	70	-0.3	.237/.299/.281	.044	.293	2	4	18%	8%	59	-0.5
✕Hernan Iribarren 2018 · MLB	34	55→65	37→40	43→55	45	.260/.296/.336	.076	.307	5	6	17%	5%	76	+0.0	.239/.278/.325	.086	.297	5	6	20%	5%	66	-0.6	.233/.273/.303	.069	.303	0	0	22%	5%	54	-0.7
✕Greg Dobbs 2012 · MLB	34	49→56	46→55	46→50	46	.246/.291/.373	.128	.286	14	4	20%	6%	85	+0.7	.248/.295/.352	.104	.291	10	5	18%	6%	81	+0.4	.240/.288/.321	.080	.284	7	4	17%	5%	59	-0.5
✕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

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)