Josh Lowe — OGILVIE

Josh LoweRF Los Angeles Angels

Age 28 L/R 6'3" / 220 lbs MLB HR -5% Svc 3.541 · Ctrl thru 2028

wRC+†vL 1683vR 82

AVG/OBP/SLG.241 / .301 / .407

PA464

HR15

SB19

K%27

BB%8

MLB%100%

Scouting · now → future

HIT

45→45

PWR

50→50

SPD

55→55

EYE

48↘40

trajectory · 10 yrs

1.0peak

2026

Contract

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

Status Arb-1

MLB Debut 2022

Service 3.541 yrs.days

Team Control Through 2028

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$3M	—	—	—
2027	Arb-2	$1M	—	—	—
2028	Arb-3	$1M	—	—	—
Totals		$-3M		$-3M	+$0.0M

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
2016	18	ROK	Princeton Rays	214	187	33	4	2	4	23	84	0	2	2	.176	.267	.283	.550	.107	.282	39	11	.248	48	-13	-0	+0	-2	+6	-0.9
2017	19	A	Bowling Green Hot Rods	507	469	100	18	1	6	29	188	0	22	8	.213	.259	.294	.553	.081	.336	37	6	.245	46	-31	+1	+0	-5	+14	-2.1
2018	20	A+	Charlotte Stone Crabs	455	413	73	20	1	6	33	169	4	18	6	.177	.244	.274	.518	.097	.277	37	7	.232	36	-33	+1	+0	-5	+13	-2.4
2019	21	AA	2 teams	577	517	107	20	3	20	47	194	3	34	9	.207	.277	.373	.650	.166	.283	34	8	.279	72	-18	+3	+0	-6	+16	-0.5
2021	23	AAA	Durham Bulls	470	422	103	21	2	18	41	144	1	26	0	.244	.312	.431	.744	.187	.320	31	9	.320	103	+2	+5	+0	-5	+13	1.5
2022	24	AAA	2 teams	549	499	120	33	3	13	43	204	3	28	2	.240	.305	.397	.701	.156	.375	37	8	.307	93	-5	+5	-1	-6	+16	0.9
2023	25	MLB	Tampa Bay Rays	501	466	134	33	2	19	31	124	1	32	3	.288	.333	.489	.823	.202	.353	25	6	.353	128	+16	+5	-3	-5	+14	2.7
2024	26	MLB	2 teams	442	405	94	19	3	12	35	151	0	25	1	.232	.293	.383	.676	.151	.336	34	8	.291	81	-10	+5	-4	-5	+13	-0.1
2025	27	MLB	2 teams	457	414	89	20	2	11	36	116	3	19	4	.215	.283	.353	.635	.138	.269	25	8	.284	75	-13	+2	-6	-5	+13	-0.9
▸ 2026 Season (actual · ROS · total)
2026	28	MLB	Los Angeles Angels	72	64	10	1	0	3	5	21	1	1	0	.156	.229	.312	.541	.156	.171	29	7	.236	39	-5	+0	-0	-1	+2	-0.4
ROS	28	MLB	LAA	392	358	82	17	2	13	29	109	2	18	4	.229	.290	.397	.687	.168	.290	28	7	.304	91	-4	+2	-4	-4	+11	0.1
TOT	28	MLB	LAA	464	422	92	18	2	16	34	130	3	19	4	.218	.281	.384	.665	.166	.272	28	7	.293	83	-9	+2	-5	-5	+13	-0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB	LAA	452	413	94	19	2	15	34	106	2	20	4	.228	.290	.392	.682	.165	.269	23	8	.302	89	-6	+2	-6	-5	+13	-0.1
2028	30	MLB	LAA	441	403	91	19	2	14	33	105	2	19	4	.226	.288	.387	.675	.161	.268	24	7	.299	87	-7	+2	-7	-5	+12	-0.3
2029	31	MLB	LAA	426	389	87	18	2	13	32	104	2	16	3	.224	.286	.380	.667	.157	.267	24	8	.295	84	-8	+2	-7	-5	+12	-0.6
2030	32	MLB	LAA	407	372	82	17	2	12	30	101	2	14	2	.220	.282	.374	.656	.153	.265	25	7	.290	80	-9	+2	-8	-4	+12	-0.8
2031	33	MLB	LAA	377	344	75	15	2	11	28	96	2	11	1	.218	.281	.369	.650	.151	.263	25	7	.285	76	-10	+2	-8	-4	+11	-1.0
2032	34	MLB	LAA	332	304	63	13	1	9	24	88	1	9	1	.207	.267	.345	.613	.138	.261	27	7	.278	71	-11	+1	-8	-4	+9	-1.2
▸ Career Totals (MLE all levels + projections)
Career	—			6999	6375	1427	306	32	196	528	2083	28	313	54	.224	.286	.374	.660	.150	.297	30	8	.290	80	-159	+41	-62	-75	+198	-5.7
/ 162G	—			650	592	132	28	3	18	49	193	3	29	5	.223	.286	.372	.657	.149	.296	30	8	.290	80	-15	+4	-6	-7	+18	-0.5

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
2016	18	ROK	Princeton Rays	214	173	43	6	3	5	37	59	0	2	2	.249	.381	.405	.786	.156	.336	28	17	.351	126	+6	-0	—	—	+6	1.2
2017	19	A	Bowling Green Hot Rods	507	456	122	26	2	8	42	144	0	22	8	.268	.329	.386	.715	.118	.369	28	8	.316	100	+0	+1	—	—	+14	1.6
2018	20	A+	Charlotte Stone Crabs	455	399	95	25	3	6	47	117	4	18	6	.238	.324	.361	.685	.123	.318	26	10	.308	94	-3	+1	—	—	+13	1.1
2019	21	AA	Montgomery Biscuits	519	448	113	23	4	18	59	132	3	30	9	.252	.343	.442	.785	.190	.316	25	11	.344	121	+12	+2	—	—	+15	3.0
2019	21	INTL	Salt River Rafters	58	52	17	4	1	2	5	16	0	4	0	.327	.386	.558	.944	.231	.429	28	9	.404	168	+4	+1	—	—	+2	0.7
2021	23	AAA	Durham Bulls	470	402	117	28	2	22	61	123	1	26	0	.291	.386	.535	.921	.244	.361	26	13	.398	163	+33	+5	—	—	+13	5.3
2022	24	MLB	Tampa Bay Rays	198	181	40	12	2	2	15	66	1	3	0	.221	.284	.343	.627	.122	.336	33	8	.281	74	-6	+1	-1	-6	+6	-0.7
2022	24	AAA	Durham Bulls	351	302	95	27	2	14	44	115	2	25	2	.315	.405	.556	.961	.242	.460	33	13	.417	177	+31	+4	—	—	+10	4.6
2023	25	MLB	Tampa Bay Rays	501	466	136	33	2	20	31	124	1	32	3	.292	.337	.500	.837	.208	.357	25	6	.365	138	+21	+5	-3	-5	+14	3.3
2024	26	MLB	Tampa Bay Rays	387	353	85	19	2	10	32	123	0	25	1	.241	.304	.391	.695	.150	.338	32	8	.309	95	-2	+5	-4	-5	+11	0.5
2024	26	AAA	Durham Bulls	55	51	13	0	1	3	4	24	0	0	0	.255	.309	.471	.780	.216	.417	44	7	.342	120	+1	+0	—	—	+2	0.3
2025	27	MLB	Tampa Bay Rays	435	396	87	21	2	11	33	109	3	18	4	.220	.285	.366	.651	.146	.273	25	8	.290	80	-10	+2	-6	-5	+12	-0.6
2025	27	AAA	Durham Bulls	22	17	4	0	0	1	4	6	0	1	0	.235	.381	.412	.793	.176	.273	27	18	.345	122	+1	+0	—	—	+1	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1521	1396	348	85	8	43	111	422	5	78	8	.249	.307	.414	.721	.165	.325	28	7	.319	102	+3	+12	-14	-21	+43	2.5

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
Josh Lowe (OGILVIE)	28	45	50	55	40	.228/.289/.392	.164	.270	15	22	23%	7%	91	+0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dylan Moore 2021 · MLB	28	45→48	52→50	53→65	45	.231/.307/.404	.173	.287	18	25	26%	7%	101	+1.8	.215/.316/.385	.170	.285	19	31	30%	10%	100	+1.7	.207/.329/.377	.170	.285	16	41	30%	12%	100	+0.9
✕Roger Bernadina 2012 · MLB	28	49→59	47→45	56→60	47	.243/.303/.376	.133	.289	14	26	21%	7%	91	+1.1	.234/.306/.356	.122	.295	12	22	24%	8%	87	+0.8	.228/.296/.347	.119	.323	12	20	31%	8%	78	+0.1
●Will Venable 2012 · MLB	29	48→56	51→55	61→60	47	.241/.308/.410	.169	.303	18	26	26%	8%	102	+1.9	.250/.311/.412	.162	.306	16	26	23%	8%	104	+2.0	.247/.307/.401	.154	.299	16	24	22%	7%	93	+1.0
✕Corey Patterson 2007 · MLB	27	49→55	51→55	59→60	43	.251/.295/.412	.161	.296	19	32	22%	5%	97	+1.5	.242/.279/.376	.134	.277	14	33	18%	4%	80	+0.4	.237/.273/.360	.123	.296	11	28	23%	4%	70	-0.2
✕Cedric Mullins 2022 · MLB	27	49→56	50→55	57→60	49	.249/.310/.408	.159	.285	17	25	20%	7%	102	+1.9	.251/.316/.417	.166	.291	18	27	20%	8%	107	+2.2	.237/.305/.396	.159	.274	18	31	20%	8%	94	+1.2
●Reggie Taylor 2005 · MLB	28	47→57	50	53→55	40	.237/.284/.390	.154	.310	17	18	29%	6%	87	+0.8	.231/.283/.360	.129	.287	13	19	23%	6%	78	+0.2	.260/.307/.416	.155	.297	18	22	19%	6%	102	+1.0
✕Michael A. Taylor 2019 · MLB	28	47→51	49→55	57→60	41	.233/.287/.390	.156	.318	16	28	31%	7%	88	+0.9	.227/.282/.375	.148	.314	16	21	31%	7%	82	+0.5	.236/.294/.379	.143	.303	19	14	28%	7%	86	+0.6
✕Michael Helman 2023 · AAA	27	41	51→55	57→55	46	.215/.276/.371	.155	.258	19	25	25%	7%	79	+0.3	.221/.279/.380	.159	.267	19	22	24%	6%	82	+0.5	.213/.271/.381	.168	.251	20	20	24%	6%	76	+0.0
✕Jayson Nix 2010 · MLB	27	45→49	50→55	51→55	46	.234/.295/.391	.158	.277	18	19	23%	7%	92	+1.2	.216/.281/.377	.161	.260	20	11	25%	7%	83	+0.6	.204/.267/.354	.151	.250	18	9	26%	6%	66	-0.3
✕Leonys Martin 2017 · MLB	29	49→55	45→50	54→60	46	.244/.299/.360	.116	.300	13	25	23%	7%	85	+0.7	.236/.291/.378	.142	.300	16	22	26%	7%	87	+0.8	.228/.286/.372	.145	.289	16	21	26%	6%	79	+0.2
✕Josh Rojas 2021 · MLB	27	47→55	47→50	54→55	50	.232/.300/.371	.140	.278	13	25	22%	8%	89	+0.9	.252/.325/.380	.128	.318	12	17	23%	10%	101	+1.8	.254/.328/.372	.118	.320	10	18	22%	10%	95	+1.1
✕Drew Stubbs 2013 · MLB	28	47→57	46→50	57→60	46	.230/.301/.358	.128	.311	15	31	30%	9%	85	+0.7	.235/.301/.369	.134	.330	14	25	31%	8%	89	+0.9	.235/.305/.374	.139	.336	14	24	32%	9%	88	+0.6
✕Jordany Valdespin 2015 · MLB	27	48→54	49→50	49→55	49	.241/.299/.383	.142	.265	17	21	17%	7%	92	+1.2	.244/.296/.345	.101	.283	9	16	17%	6%	79	+0.3	.260/.308/.341	.081	.308	5	18	16%	5%	80	+0.2
✕Óscar Mercado 2022 · MLB	27	45→53	48→55	55→60	48	.225/.290/.373	.147	.260	15	20	20%	7%	85	+0.7	.223/.285/.376	.153	.261	16	23	21%	7%	84	+0.6	.217/.277/.380	.163	.251	19	28	22%	6%	79	+0.2
✕Jorge Mateo 2023 · MLB	28	45→46	48→50	60→65	40	.225/.273/.375	.150	.289	14	31	27%	5%	78	+0.2	.223/.271/.364	.141	.282	13	39	25%	6%	75	-0.0	.218/.263/.346	.128	.274	12	54	25%	6%	65	-0.3
✕Jake Marisnick 2018 · MLB	27	44→54	52→60	51→55	41	.227/.284/.394	.167	.297	20	23	30%	6%	89	+0.9	.235/.295/.423	.188	.314	23	16	31%	6%	101	+1.8	.224/.285/.401	.178	.305	20	16	32%	6%	88	+0.4
✕Hernán Pérez 2019 · MLB	28	51→56	48→50	55	43	.257/.293/.398	.141	.298	16	23	20%	5%	92	+1.2	.241/.284/.388	.147	.295	18	16	24%	6%	86	+0.8	.238/.283/.362	.124	.301	16	24	26%	5%	76	+0.0
✕Justin Maxwell 2012 · MLB	28	44→45	51→60	56→60	45	.219/.299/.380	.161	.322	19	28	36%	10%	91	+1.1	.223/.295/.404	.181	.317	22	16	34%	8%	95	+1.4	.213/.284/.379	.166	.309	19	12	35%	8%	80	+0.2
✕Kevin Kiermaier 2019 · MLB	29	48→57	50→55	55	48	.243/.311/.406	.163	.292	17	20	23%	8%	102	+1.9	.234/.297/.390	.156	.289	15	19	24%	7%	92	+1.2	.255/.318/.395	.140	.326	12	17	24%	7%	96	+0.8
✕Reid Gorecki 2009 · AAA	28	46→51	48→50	50→55	45	.231/.291/.367	.136	.288	16	20	26%	7%	84	+0.6	.237/.290/.358	.121	.300	10	19	23%	6%	80	+0.4	.230/.284/.349	.119	.293	8	20	23%	6%	72	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)