Adam Frazier

2B Los Angeles Angels

Age 35 L/R 5'10" / 190 lbs MLB K +5%HR +4% Svc 10.436 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	32	MLBKC	294	.202/.282/.294	4	3	67	-0.5
2025	33	MLBKC	459	.267/.322/.365	7	8	95	0.9
2026	34	AAA/ALAA	43	.282/.349/.436	1	0	72	—	.269/.302/.416
2026	34	MLBLAA	147	.240/.315/.349	1	3	81	-0.0
2027PROJ	35	MLBLAA	177	.237/.298/.349	3	3	84	0.1
2028PROJ	36	MLBLAA	133	.225/.284/.323	2	1	73	-0.7

Last 3 seasons WAR 0.3 · Next 2 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service10.436First FA2028Options3

2027Ext / FA-deal$1M

Skills · percentileStatcast 2024-2026

xwOBA26

Speed22

Barrel%10

Avg EV10

Bat Spd10

CompsMatt Treanor (age 35) · Miguel Ojeda (age 34) · Gary Bennett (age 35)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 6884vR 89

AVG/OBP/SLG.237 / .298 / .349

PA177

HR3

K%20

BB%6

BABIP282

ISO118

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

340.238

POWER

Barrel%

102.3

Avg EV

1085.1

Bat Spd

1065.3

SPEED

Sprint

2226.1

Platoon Splits2024-2026 · 790 PA

vs LHP

vs RHP

Edge

692

—

wRC+

▶▶R

wOBA

246

297

▶▶R

ISO

091

102

▶R

BABIP

261

297

▶R

25.5%

18.5%

▶▶R

BB%

5.1%

6.6%

▶▶R

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

Status FA

MLB Debut 2016

Service 10.436 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	+0.1	$0.4M	-$0.6M
Totals		$1M		$0.4M	-$0.6M

Options · projected decision
2027	MUTUAL OPT	$1.0M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$8.5M / $2.5M buyout	DECLINE
2029	MUTUAL OPT	$1.0M / $2.5M buyout	DECLINE

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2014	22	A+	Bradenton Marauders	—	540	492	124	21	2	1	37	61	3	14	8	252	308	309	617	57	285	11	7	279	51	—	—	—	—	—	—
2015	23	AA	Altoona Curve	—	423	377	122	21	4	2	34	42	3	11	7	324	384	416	801	93	360	10	8	353	114	—	—	—	—	—	—
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	162	—	—	—	—	—	—
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	119	+4	+0	-4	-5	+3	-0.1
2016	24	AAA	Indianapolis Indians	—	299	261	87	16	4	0	29	27	2	17	15	333	404	425	829	92	369	9	10	366	122	—	—	—	—	—	—
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	110	+5	-0	-8	-5	+10	0.2
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	123	+10	-1	+1	+2	+8	1.9
2018	26	AAA	Indianapolis Indians	—	137	121	27	5	2	0	11	20	1	1	3	223	293	298	591	74	262	15	8	264	51	—	—	—	—	—	—
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	110	+7	-1	+8	+2	+13	3.0
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	90	-3	-1	+4	+1	+5	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	+19	+0	+1	+2	+14	3.7
2022	30	MLB	Seattle Mariners	—	602	541	129	22	4	3	46	73	5	11	6	238	304	311	615	72	268	12	8	278	75	-18	-0	+4	+2	+13	0.1
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	91	-5	+1	-10	+2	+10	-0.3
2024	32	MLB	Kansas City Royals	—	294	262	53	10	1	4	22	59	7	3	0	202	282	294	576	92	246	20	7	264	67	-12	+1	-1	+1	+6	-0.5
2025	33	MLB	Kansas City Royals	—	459	419	112	20	0	7	26	81	8	8	6	267	322	365	687	98	312	18	6	308	95	-3	-1	+0	+2	+10	0.9
2026	34	MLB	Los Angeles Angels	—	147	129	31	9	1	1	11	39	3	3	2	240	315	349	664	109	337	27	7	294	81	-3	-0	-1	+1	+3	-0.0
2026	34	AAA	Salt Lake Bees	—	25	23	5	2	0	0	2	3	0	0	0	217	280	304	584	87	250	12	8	267	26	—	—	—	—	—	—
2026	34	A	Rancho Cucamonga Quakes	—	18	16	6	1	0	1	2	0	0	0	0	375	444	625	1.069	250	333	0	11	466	137	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4400	3973	1046	209	29	68	319	635	61	66	40	263	328	382	709	119	297	14	7	317	101	+3	-3	-5	+4	+95	9.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	22	A+ MLE	Bradenton Marauders	—	540	503	116	19	2	1	26	89	3	14	8	231	273	282	555	52	272	16	5	243	51	—	—	—	—	—	—
2015	23	AA MLE	Altoona Curve	—	423	387	128	21	4	2	24	51	3	11	7	331	374	421	796	90	363	12	6	336	114	—	—	—	—	—	—
2016	24	MLB MLE	Pittsburgh Pirates	—	160	146	44	8	1	2	12	26	1	4	1	301	358	411	769	110	353	16	8	344	119	+4	+0	-4	-5	+3	-0.1
2016	24	AAA MLE	Indianapolis Indians	—	299	270	91	15	5	0	20	32	2	17	15	337	387	430	817	93	367	11	7	349	122	—	—	—	—	—	—
2017	25	MLB MLE	Pittsburgh Pirates	—	454	408	111	19	6	6	34	57	8	9	5	272	340	392	732	120	306	13	7	331	110	+5	-0	-8	-5	+10	0.2
2018	26	MLB MLE	Pittsburgh Pirates	—	352	320	88	22	2	11	27	53	3	1	3	275	337	459	797	184	305	15	8	350	123	+10	-1	+1	+2	+8	1.9
2018	26	AAA MLE	Indianapolis Indians	—	137	124	26	4	2	0	8	23	1	1	3	210	263	274	537	65	247	17	6	244	51	—	—	—	—	—	—
2019	27	MLB MLE	Pittsburgh Pirates	—	608	558	155	32	7	11	36	75	9	5	5	278	332	419	751	142	306	12	6	330	110	+7	-1	+8	+2	+13	3.0
2020	28	MLB MLE	Pittsburgh Pirates	—	230	209	49	7	0	8	17	35	3	1	3	234	301	383	684	148	246	15	7	301	90	-3	-1	+4	+1	+5	0.7
2021	29	MLB MLE	San Diego Padres	—	639	579	179	38	5	5	46	69	10	10	5	309	370	418	788	109	339	11	7	353	125	+19	+0	+1	+2	+14	3.7
2022	30	MLB MLE	Seattle Mariners	—	602	542	130	22	4	3	45	73	5	11	6	240	304	312	616	72	268	12	7	279	75	-18	-0	+4	+2	+13	0.1
2023	31	MLB MLE	Baltimore Orioles	—	455	413	97	20	2	13	32	68	4	11	4	235	296	387	684	153	258	15	7	302	91	-5	+1	-10	+2	+10	-0.3
2024	32	MLB MLE	Kansas City Royals	—	294	262	53	10	1	4	22	59	7	3	0	202	282	294	576	92	246	20	7	267	67	-12	+1	-1	+1	+6	-0.5
2025	33	MLB MLE	Kansas City Royals	—	459	421	114	20	0	8	24	81	8	8	6	271	322	375	698	105	312	18	5	309	95	-3	-1	+0	+2	+10	0.9
2026	34	MLB MLE	Los Angeles Angels	—	147	131	31	9	1	1	9	39	3	3	2	237	301	344	644	107	337	27	6	288	81	-3	-0	-1	+1	+3	-0.0
2026	34	AAA MLE	Salt Lake Bees	—	25	24	5	2	0	0	1	4	0	0	0	208	240	292	532	83	209	16	4	207	26	—	—	—	—	—	—
2026	34	A MLE	Rancho Cucamonga Quakes	—	18	17	6	1	0	1	1	0	0	0	0	353	389	588	977	235	278	0	6	370	137	—	—	—	—	—	—
2014	22	A+ MLE	Bradenton Marauders	—	540	503	116	19	2	1	26	89	3	14	8	231	273	282	555	52	277	16	5	243	51	—	—	—	—	—	—
2014	22	A+ RAW	Bradenton Marauders	—	540	492	124	21	2	1	37	61	3	14	8	252	308	309	617	57	285	11	7	279	51	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	456	417	137	22	4	2	26	55	3	13	8	329	372	415	787	86	374	12	6	336	114	—	—	—	—	—	—
2015	23	AA RAW	2 teams	—	456	405	131	22	7	2	38	47	3	13	8	323	386	427	813	104	361	10	8	357	114	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	459	416	135	23	6	2	32	58	3	21	16	325	377	423	800	99	370	13	7	347	121	—	—	—	—	—	—
2016	24	AAA RAW	2 teams	—	459	407	131	24	5	2	41	53	3	21	16	322	388	420	808	98	363	12	9	358	121	—	—	—	—	—	—
2017	25	MLB MLE	Pittsburgh Pirates	—	454	408	111	19	6	6	34	57	8	9	5	272	340	392	732	120	302	13	7	331	110	+5	-0	-8	-5	+10	0.2
2017	25	MLB RAW	Pittsburgh Pirates	—	454	406	112	20	6	6	36	57	8	9	5	276	347	399	746	123	306	13	8	333	110	+5	-0	-8	-5	+10	0.2
2018	26	MLB MLE	2 teams	—	489	444	114	26	4	11	35	76	4	2	6	257	317	408	724	151	286	16	7	320	103	+2	-2	+1	+2	+11	1.3
2018	26	MLB RAW	2 teams	—	489	439	115	28	4	10	40	73	4	2	6	262	329	412	741	150	292	15	8	327	103	+2	-2	+1	+2	+11	1.3
2019	27	MLB MLE	Pittsburgh Pirates	—	608	558	155	32	7	11	36	75	9	5	5	278	332	419	751	142	304	12	6	330	110	+7	-1	+8	+2	+13	3.0
2019	27	MLB RAW	Pittsburgh Pirates	—	608	554	154	33	7	10	40	75	9	5	5	278	337	417	754	139	306	12	7	334	110	+7	-1	+8	+2	+13	3.0
2020	28	MLB MLE	Pittsburgh Pirates	—	230	209	49	7	0	8	17	35	3	1	3	234	301	383	684	148	247	15	7	301	90	-3	-1	+4	+1	+5	0.7
2020	28	MLB RAW	Pittsburgh Pirates	—	230	209	48	7	0	7	17	35	3	1	3	230	297	364	661	134	246	15	7	297	90	-3	-1	+4	+1	+5	0.7
2021	29	MLB MLE	San Diego Padres	—	639	579	179	38	5	5	46	69	10	10	5	309	370	418	788	109	344	11	7	353	125	+19	+0	+1	+2	+14	3.7
2021	29	MLB RAW	San Diego Padres	—	639	577	176	36	5	5	48	69	10	10	5	305	369	411	779	106	339	11	8	349	125	+19	+0	+1	+2	+14	3.7
2022	30	MLB MLE	Seattle Mariners	—	602	542	130	22	4	3	45	73	5	11	6	240	304	312	616	72	269	12	7	279	75	-18	-0	+4	+2	+13	0.1
2022	30	MLB RAW	Seattle Mariners	—	602	541	129	22	4	3	46	73	5	11	6	238	304	311	615	72	268	12	8	278	75	-18	-0	+4	+2	+13	0.1
2023	31	MLB MLE	Baltimore Orioles	—	455	413	97	20	2	13	32	68	4	11	4	235	296	387	684	153	251	15	7	302	91	-5	+1	-10	+2	+10	-0.3
2023	31	MLB RAW	Baltimore Orioles	—	455	412	99	21	2	13	32	68	4	11	4	240	301	396	696	155	258	15	7	307	91	-5	+1	-10	+2	+10	-0.3
2024	32	MLB MLE	Kansas City Royals	—	294	262	53	10	1	4	22	59	7	3	0	202	282	294	576	92	246	20	7	267	67	-12	+1	-1	+1	+6	-0.5
2024	32	MLB RAW	Kansas City Royals	—	294	262	53	10	1	4	22	59	7	3	0	202	282	294	576	92	246	20	7	264	67	-12	+1	-1	+1	+6	-0.5
2025	33	MLB MLE	Kansas City Royals	—	459	421	114	20	0	8	24	81	8	8	6	271	322	375	698	105	315	18	5	309	95	-3	-1	+0	+2	+10	0.9
2025	33	MLB RAW	Kansas City Royals	—	459	419	112	20	0	7	26	81	8	8	6	267	322	365	687	98	312	18	6	308	95	-3	-1	+0	+2	+10	0.9
2026	34	MLB MLE	3 teams	—	190	171	41	12	1	2	12	43	3	3	2	240	301	357	658	117	310	23	6	285	79	-5	-0	-1	+1	+4	-0.1
2026	34	MLB RAW	3 teams	—	190	168	42	12	1	2	15	42	3	3	2	250	323	369	692	119	323	22	8	307	79	-5	-0	-1	+1	+4	-0.1
2014	22	A+ MLE	Bradenton Marauders	—	540	506	116	19	2	1	26	89	3	14	8	229	273	281	553	51	272	16	5	243	51	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	456	424	137	22	4	2	26	55	3	13	8	323	372	408	780	85	363	12	6	336	114	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	459	421	135	23	6	2	32	58	3	21	16	321	377	418	795	97	362	13	7	347	121	—	—	—	—	—	—
2017	25	MLB MLE	Pittsburgh Pirates	—	454	409	111	19	6	6	34	57	8	9	5	271	340	391	731	120	306	13	7	331	110	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	489	447	114	26	4	11	35	76	4	2	6	255	317	405	722	150	289	16	7	320	103	—	—	—	—	—	—
2019	27	MLB MLE	Pittsburgh Pirates	—	608	558	155	32	7	11	36	75	9	5	5	278	332	419	751	142	306	12	6	330	110	—	—	—	—	—	—
2020	28	MLB MLE	Pittsburgh Pirates	—	230	208	49	7	0	8	17	35	3	1	3	236	301	385	686	149	246	15	7	301	90	—	—	—	—	—	—
2021	29	MLB MLE	San Diego Padres	—	639	578	179	38	5	5	46	69	10	10	5	310	370	419	789	109	339	11	7	353	125	—	—	—	—	—	—
2022	30	MLB MLE	Seattle Mariners	—	602	547	130	22	4	3	45	73	5	11	6	238	304	309	613	71	268	12	7	279	75	—	—	—	—	—	—
2023	31	MLB MLE	Baltimore Orioles	—	455	416	97	20	2	13	32	68	4	11	4	233	296	385	681	151	258	15	7	302	91	—	—	—	—	—	—
2024	32	MLB MLE	Kansas City Royals	—	294	263	53	10	1	4	22	59	7	3	0	202	282	293	575	91	246	20	7	267	67	—	—	—	—	—	—
2025	33	MLB MLE	Kansas City Royals	—	459	424	114	20	0	8	24	81	8	8	6	269	322	373	695	104	312	18	5	309	95	—	—	—	—	—	—
2026	34	MLB MLE	3 teams	—	190	173	41	12	1	2	12	43	3	3	2	237	301	353	654	116	315	23	6	285	79	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	MLB MLE	Kansas City Royals	—	294	263	53	10	1	4	22	59	7	3	0	202	282	293	575	91	246	20	7	267	67	—	—	—	—	—	—
2025	33	MLB MLE	Kansas City Royals	—	459	424	114	20	0	8	24	81	8	8	6	269	322	373	695	104	312	18	5	309	95	—	—	—	—	—	—
2026	34	MLB MLE	3 teams	—	190	173	41	12	1	2	12	43	3	3	2	237	301	353	654	116	315	23	6	285	79	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	35	MLB MLE	LAA	100%	284	259	62	13	1	5	18	56	5	5	1	239	299	352	652	113	284	20	6	293	84	-5	+1	-1	+1	+6	0.1
▸ 2027 — real world (MLB)
2027	35	MLB CTX	LAA	100%	177	161	39	8	1	3	11	35	3	3	1	237	298	349	647	112	282	20	6	291	84	-3	+0	-0	+1	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	36	MLB MLE	LAA	100%	133	122	27	5	0	2	8	27	2	1	0	226	286	326	611	99	274	20	6	276	73	-4	+0	-7	+0	+3	-0.7
2028	36	MLB CTX	LAA	100%	133	122	27	5	0	2	8	27	2	1	0	225	284	323	608	98	272	20	6	275	73	-4	+0	-7	+0	+3	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4533	4095	1073	214	29	70	327	662	63	67	40	262	326	380	706	118	296	15	7	316	96	-2	-3	-11	+5	+98	9.0
/ 162G	—	A+C		—	650	587	154	31	4	10	47	95	9	10	6	262	327	380	706	118	297	15	7	316	96	-0	-0	-2	+1	+14	1.3
Career	—	MLE		—	6185	5626	1497	283	43	81	406	900	75	115	75	266	324	375	699	109	303	15	7	310	96	-5	-2	-12	+5	+102	9.1
/ 162G	—	MLE		—	650	591	159	30	5	9	43	95	8	12	8	269	327	382	710	113	306	15	7	310	96	-1	-0	-2	+1	+14	1.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAASalt Lake Bees · 25 PAwOBA .260 → .207 (−54)K% 12.0% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷1.000	×1.200	—	—	14.40%
BB% (unintentional) /PA	8.00%	÷1.000	×0.690	—	×0.940	5.19%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	15.00%	÷1.000	×0.930	—	×0.940	13.11%
Doubles /BIP	10.00%	÷1.000	×0.830	—	×0.940	7.80%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.700	—	×0.940	0.00%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .260 → .207; ISO .087 → .068; BABIP .250 → .209. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 ARancho Cucamonga Quakes · 18 PAwOBA .453 → .370 (−83)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.000	×1.360	—	—	0.00%
BB% (unintentional) /PA	11.11%	÷1.000	×0.690	—	×0.940	7.21%
HBP% /PA	0.00%	—	×0.780	—	×0.940	0.00%
Singles /BIP	25.00%	÷1.000	×0.920	—	×0.940	21.62%
Doubles /BIP	6.25%	÷1.000	×0.830	—	×0.940	4.88%
Triples /BIP	0.00%	÷1.000	×0.910	—	×0.940	0.00%
Home runs /BIP	6.25%	÷1.000	×0.800	—	×0.940	4.70%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 35 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (13.0 yr older than average).

Result: wOBA .453 → .370; ISO .250 → .198; BABIP .333 → .278. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAAIndianapolis Indians · 137 PAwOBA .261 → .244 (−18)K% 14.6% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.60%	÷1.063	×1.200	—	—	16.47%
BB% (unintentional) /PA	8.03%	÷0.890	×0.690	—	×1.003	6.24%
HBP% /PA	0.73%	—	×0.940	—	×1.003	0.69%
Singles /BIP	19.80%	÷0.984	×0.930	×1.010	×1.003	18.97%
Doubles /BIP	4.95%	÷1.040	×0.830	×1.010	×1.003	4.00%
Triples /BIP	1.98%	÷0.900	×0.970	×1.010	×1.003	2.16%
Home runs /BIP	0.00%	÷1.041	×0.840	—	×1.003	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 97, 2B 108, 3B 80, K 113, BB 78 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .261 → .244; ISO .074 → .072; BABIP .262 → .247. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAAIndianapolis Indians · 299 PAwOBA .359 → .349 (−10)K% 9.0% → 10.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.03%	÷1.015	×1.200	—	—	10.68%
BB% (unintentional) /PA	9.70%	÷1.054	×0.690	—	×1.033	6.56%
HBP% /PA	0.67%	—	×0.940	—	×1.033	0.65%
Singles /BIP	28.63%	÷0.998	×0.930	×1.048	×1.033	28.89%
Doubles /BIP	6.84%	÷1.010	×0.830	×1.048	×1.033	6.08%
Triples /BIP	1.71%	÷0.900	×0.970	×1.048	×1.033	1.99%
Home runs /BIP	0.00%	÷0.933	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 87, 1B 100, 2B 102, 3B 80, K 103, BB 111 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .359 → .349; ISO .092 → .095; BABIP .369 → .367. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAAltoona Curve · 423 PAwOBA .344 → .336 (−9)K% 9.9% → 12.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.93%	÷1.005	×1.220	—	—	12.05%
BB% (unintentional) /PA	8.04%	÷1.004	×0.700	—	×1.012	5.67%
HBP% /PA	0.71%	—	×0.850	—	×1.012	0.61%
Singles /BIP	28.36%	÷0.997	×0.970	×1.043	×1.012	29.14%
Doubles /BIP	6.27%	÷0.953	×0.860	×1.043	×1.012	5.98%
Triples /BIP	1.19%	÷1.150	×0.950	×1.043	×1.012	1.04%
Home runs /BIP	0.60%	÷0.912	×0.780	—	×1.012	0.52%

Factors used: league row EL. Park (home-season share, regressed): HR 82, 1B 99, 2B 91, 3B 130, K 101, BB 101 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .344 → .336; ISO .093 → .088; BABIP .360 → .363. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 A+Bradenton Marauders · 540 PAwOBA .273 → .243 (−30)K% 11.3% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.30%	÷0.975	×1.420	—	—	16.45%
BB% (unintentional) /PA	6.85%	÷1.059	×0.750	—	×0.998	4.84%
HBP% /PA	0.56%	—	×0.930	—	×0.998	0.52%
Singles /BIP	23.20%	÷1.004	×0.920	×1.050	×0.998	22.27%
Doubles /BIP	4.87%	÷1.078	×0.960	×1.050	×0.998	4.55%
Triples /BIP	0.46%	÷0.900	×0.810	×1.050	×0.998	0.44%
Home runs /BIP	0.23%	÷1.337	×0.880	—	×0.998	0.15%

Factors used: league row FSL. Park (home-season share, regressed): HR 167, 1B 101, 2B 116, 3B 80, K 95, BB 112 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .273 → .243; ISO .057 → .050; BABIP .285 → .272. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Omar Infantelast yr '16 career totals — 15 seasons, 5,698 PA	8.6	5,698	82	80	271	308	387	+21	+23	16.2	16.0
/162	664	10	9	+2.5	+2.6	1.9	pk7: 16
#2Josh Harrisonlast yr '23 career totals — 13 seasons, 4,347 PA	6.5	4,347	73	91	270	316	396	+14	+16	15.1	15.4
/162	664	11	14	+2.2	+2.4	2.3	pk7: 16
#3Jim Gantner'76-'92 * career totals — 16 seasons, 6,782 PA	10.2	6,782	47	137	271*	320*	372*	+23	+15	15.7	14.7
/162	664	5	13	+2.3	+1.4	1.5	pk7: 14
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	7.1	4,710	73	70	262	322	380	+17	-3	13.6	13.5
/162	664	10	10	+2.4	-0.5	1.9	pk7: 13
#4Bill Spiers'89-'01 * career totals — 11 seasons, 3,845 PA	5.8	3,845	37	97	262*	330*	373*	+19	+4	10.9	12.2
/162	664	6	17	+3.3	+0.7	1.9	pk7: 13
#5Fernando Vina'93-'04 * career totals — 12 seasons, 4,742 PA	7.1	4,742	40	116	270*	333*	367*	+17	-6	10.0	10.3
/162	664	6	16	+2.4	-0.8	1.4	pk7: 11
#6Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10

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)	35	—	—	—	—	237/297/349	112	284	3	3	20%	6%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Treanor 2011 · MLB	35	44	42→40	42→40	51	217/292/318	101	250	11	5	18%	8%	75	-0.5	213/311/316	103	260	10	7	21%	11%	82	+0.0	192/310/272	79	243	7	5	22%	12%	71	-0.3
✕Miguel Ojeda 2009 · MLB	34	48→45	43→45	42→45	49	234/296/346	111	272	9	8	18%	7%	82	+0.0	237/299/363	126	272	13	8	18%	8%	87	+0.4	235/297/350	116	268	13	5	17%	8%	83	+0.0
✕Gary Bennett 2007 · MLB	35	46	42→40	43→40	50	223/281/323	100	253	10	4	17%	7%	72	-0.7	234/286/354	120	252	13	7	13%	6%	80	-0.1	241/277/321	80	257	7	4	9%	4%	69	-0.3
✕Issmael Salas 2017 · AAA	35	48	42→45	42→50	44	236/275/342	107	266	10	7	16%	4%	73	-0.6	233/279/343	110	256	11	6	14%	5%	75	-0.5	231/277/333	102	249	11	3	12%	5%	71	-0.5
✕Jose Espinoza 2009 · AAA	35	53	41→40	42→45	50	253/316/347	94	297	9	10	18%	7%	90	+0.6	245/302/337	92	295	7	8	18%	7%	82	-0.0	243/302/325	82	297	6	5	19%	7%	79	-0.1
✕Humberto Quintero 2015 · MLB	35	47	44→45	41→40	38	233/263/350	118	284	11	5	22%	3%	70	-0.8	225/257/325	100	280	10	7	23%	3%	63	-1.4	220/242/296	76	267	11	3	22%	2%	47	-1.3
✕Brent Mayne 2003 · MLB	35	53→50	39→40	40	53	253/314/337	84	284	7	5	14%	8%	86	+0.3	232/293/321	89	269	8	4	16%	8%	75	-0.5	226/285/302	76	263	6	1	16%	7%	68	-0.5
✕Luis Antonio Rodriguez 2015 · AAA	35	45→50	43→45	42→45	49	217/274/325	108	238	10	5	14%	6%	70	-0.9	237/292/342	105	279	10	9	18%	6%	80	-0.2	267/314/333	66	308	7	4	15%	6%	82	+0.0
✕Jamie Burke 2008 · MLB	36	49→45	43→45	40→30	46	237/286/347	110	262	10	3	15%	5%	79	-0.2	225/275/317	92	264	8	5	17%	5%	68	-1.0	203/251/265	62	245	4	1	18%	5%	46	-0.6
✕Adan Amezcua 2009 · AAA	35	51	41→45	41→45	48	247/303/348	101	282	8	7	16%	6%	85	+0.2	238/291/334	96	279	8	7	17%	6%	77	-0.3	244/310/369	125	285	12	4	18%	7%	91	+0.3
✕Rob Brantly 2024 · MLB	35	47→57	39→50	48→30	45	224/298/311	87	267	6	5	18%	6%	76	-0.4	224/282/334	110	277	10	6	22%	6%	74	-0.5	199/251/295	96	245	11	0	23%	4%	51	-0.7
✕Joe Thurston 2014 · AAA	34	47→57	42→45	46→50	49	226/294/332	106	268	9	12	19%	8%	79	-0.2	228/288/319	91	265	8	10	16%	7%	73	-0.6	225/283/293	68	257	5	7	14%	6%	63	-1.0
✕John Flaherty 2003 · MLB	35	51→52	44→45	43→40	46	248/285/368	121	276	11	4	15%	5%	83	+0.1	237/276/388	151	265	16	5	18%	5%	84	+0.2	217/247/372	155	236	19	0	18%	3%	71	-0.2
✕Yosmany Guerra 2017 · AAA	34	53→57	39→40	42→45	53	248/311/333	85	285	6	8	15%	8%	84	+0.2	251/305/354	103	292	5	7	15%	7%	86	+0.3	256/310/364	108	299	5	5	15%	7%	89	+0.4
✕Jesus Rivera 2013 · AAA	35	48→52	39→40	41→40	47	230/271/312	83	254	7	5	13%	5%	65	-1.2	226/273/303	77	270	6	5	18%	6%	63	-1.4	259/304/311	52	303	1	4	14%	5%	76	-0.2
✕Charlie Culberson 2023 · MLB	34	49→54	45	47→50	43	240/287/367	127	300	12	13	24%	6%	84	+0.1	222/270/335	113	309	12	12	30%	6%	70	-0.8	164/189/198	34	266	4	14	39%	3%	8	-1.0
✕Bryan Holaday 2021 · MLB	33	46	44→45	43→40	49	228/293/346	118	262	12	6	18%	7%	82	-0.0	224/284/381	157	275	18	8	25%	7%	86	+0.3	186/238/360	174	219	21	4	27%	5%	67	-0.3
✕Juan Centeno 2023 · AAA	33	47	46→45	42→40	42	233/273/360	127	270	13	4	20%	4%	77	-0.3	220/263/311	91	300	8	8	28%	5%	61	-1.5	203/243/240	37	305	1	7	32%	5%	34	-1.6
✕Noe Mata 2009 · AAA	35	54→57	44→45	42→50	42	264/293/377	113	299	12	9	17%	3%	88	+0.4	221/253/313	92	270	9	8	21%	3%	58	-1.7	187/212/248	61	235	5	5	23%	2%	24	-1.5
✕Sandy León 2024 · MLB	35	41→51	41→45	46→30	48	199/279/294	95	266	9	4	27%	9%	65	-1.2	168/243/261	93	254	11	5	36%	8%	44	-2.8	127/200/199	72	195	10	3	39%	8%	13	-1.9

Adam Frazier

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps