Parker Meadows — OGILVIE

Parker MeadowsCF Detroit Tigers

INJURED · Injured 60-Day (D60)

Age 26 L/R 6'5" / 205 lbs MLB HR +5%H +3% Svc 1.983 · Ctrl thru 2030 peak 1.8 · 2027

wRC+†vL 7388vR 93

AVG/OBP/SLG.224 / .299 / .381

PA136

HR4

SB7

K%26

BB%9

MLB%100%

Scouting · now → future

HIT

45→45

PWR

45→45

SPD

60→60

EYE

53↗55

trajectory · 10 yrs

1.3peak

2027

Contract

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

Status Pre-Arb

MLB Debut 2023

Service 1.983 yrs.days

Team Control Through 2030

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2027	Pre-Arb	$0.8M	+1.8	$15M	+$14M
2028	Arb-1	$4M	+1.7	$14M	+$11M
2029	Arb-2	$6M	+1.5	$13M	+$8M
2030	Arb-3	$7M	+1.2	$11M	+$4M
Totals		$18M		$55M	+$37M

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
2018	18	ROK	GCL Tigers West	85	78	15	1	1	3	4	36	3	3	1	.192	.259	.346	.605	.154	.308	42	5	.253	52	-5	+0	+0	+0	+2	-0.2
2019	19	A	West Michigan Whitecaps	504	456	85	13	2	6	34	137	2	14	8	.186	.246	.263	.509	.077	.248	27	7	.224	30	-40	-0	+0	+2	+14	-2.5
2021	21	A+	West Michigan Whitecaps	408	366	62	12	1	8	26	138	6	9	8	.169	.236	.273	.509	.104	.240	34	6	.222	28	-33	-1	+0	+1	+12	-2.2
2022	22	AA	3 teams	632	572	133	23	8	22	44	159	6	19	2	.233	.294	.416	.710	.184	.278	25	7	.301	89	-8	+3	+0	+2	+18	1.5
2023	23	AAA	2 teams	662	592	127	23	7	20	56	185	4	27	3	.215	.287	.378	.665	.164	.270	28	8	.291	81	-14	+4	+3	+2	+19	1.4
2024	24	MLB	2 teams	535	482	116	20	8	18	45	129	4	28	9	.241	.311	.427	.738	.187	.290	24	8	.323	105	+3	+2	+5	+2	+15	2.7
2025	25	MLB	2 teams	268	239	51	8	5	5	28	76	0	5	0	.213	.296	.351	.647	.138	.289	28	10	.288	78	-7	+1	+1	+1	+8	0.4
▸ 2026 Season (actual · ROS · total)
2026	26	MLB	Detroit Tigers	39	36	9	1	1	0	2	10	1	3	0	.250	.308	.333	.641	.083	.346	26	5	.288	79	-1	+1	+1	+0	+1	0.2
ROS	26	MLB	DET	97	87	19	3	1	2	9	25	1	4	1	.218	.299	.345	.644	.126	.290	26	9	.304	91	-1	+0	+1	+0	+3	0.3
TOT	26	MLB	DET	136	123	28	4	2	2	11	35	2	7	1	.228	.301	.341	.643	.114	.302	26	8	.300	88	-2	+1	+2	+0	+4	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB	DET	453	406	93	14	7	12	41	108	3	17	2	.229	.304	.387	.691	.158	.280	24	9	.304	91	-5	+3	+4	+2	+13	1.7
2028	28	MLB	DET	449	402	90	14	6	11	41	108	3	16	2	.224	.300	.371	.671	.147	.279	24	9	.303	90	-5	+2	+3	+2	+13	1.5
2029	29	MLB	DET	438	392	89	14	6	11	40	107	3	15	2	.227	.303	.378	.681	.151	.279	24	9	.301	89	-6	+2	+2	+2	+12	1.3
2030	30	MLB	DET	428	383	85	13	6	10	39	106	3	14	1	.222	.299	.366	.664	.144	.277	25	9	.298	86	-7	+2	+2	+2	+12	1.1
2031	31	MLB	DET	413	370	82	12	6	10	37	104	3	11	1	.222	.298	.368	.665	.146	.276	25	9	.294	83	-8	+2	+1	+1	+12	0.8
2032	32	MLB	DET	394	353	76	11	5	9	36	101	2	9	0	.215	.292	.351	.643	.136	.274	26	9	.289	80	-9	+2	-0	+1	+11	0.5
2033	33	MLB	DET	364	326	69	10	5	8	33	96	2	7	0	.212	.288	.347	.635	.135	.273	26	9	.284	76	-10	+1	-1	+1	+10	0.2
2034	34	MLB	DET	319	286	59	9	4	6	28	87	2	5	0	.206	.282	.329	.610	.122	.271	27	9	.278	71	-11	+1	-2	+1	+9	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			6449	5790	1251	200	78	161	541	1702	47	203	40	.216	.288	.361	.649	.145	.274	26	8	.287	78	-164	+25	+18	+23	+183	8.6
/ 162G	—			650	584	126	20	8	16	55	172	5	20	4	.216	.289	.360	.649	.144	.274	26	8	.287	78	-17	+2	+2	+2	+18	0.9

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
2018	18	ROK	GCL Tigers West	85	74	21	2	1	4	8	25	3	3	1	.284	.376	.500	.876	.216	.378	29	9	.388	155	+5	+0	—	—	+2	0.8
2019	19	A	West Michigan Whitecaps	504	443	98	15	2	7	47	113	2	14	8	.221	.299	.312	.610	.090	.277	22	9	.274	68	-18	-0	—	—	+14	-0.4
2021	21	A+	West Michigan Whitecaps	408	355	74	15	2	8	37	99	6	9	8	.208	.294	.330	.624	.121	.261	24	9	.279	71	-13	-1	—	—	+12	-0.3
2022	22	AA	Erie SeaWolves	489	425	117	21	6	16	52	90	4	17	2	.275	.360	.466	.826	.191	.309	18	11	.360	134	+19	+3	—	—	+14	3.6
2022	22	A+	West Michigan Whitecaps	67	61	14	4	1	4	4	18	1	0	0	.230	.288	.525	.812	.295	.256	27	6	.345	122	+2	+0	—	—	+2	0.4
2022	22	INTL	Salt River Rafters	76	67	15	3	1	3	7	16	1	2	0	.224	.307	.433	.740	.209	.245	21	9	.323	106	+0	+0	—	—	+2	0.3
2023	23	MLB	Detroit Tigers	145	125	29	4	2	3	17	37	2	8	1	.232	.333	.368	.701	.136	.302	26	12	.318	101	+0	+1	+3	+2	+4	1.1
2023	23	AAA	Toledo Mud Hens	517	449	115	27	7	19	57	123	2	19	2	.256	.343	.474	.817	.218	.305	24	11	.354	129	+17	+3	—	—	+15	3.5
2024	24	MLB	Detroit Tigers	298	270	66	12	6	9	25	76	1	9	4	.244	.311	.433	.744	.189	.306	26	8	.326	108	+3	+0	+5	+2	+8	1.8
2024	24	AAA	Toledo Mud Hens	237	202	59	11	3	8	30	45	3	19	5	.292	.391	.495	.887	.203	.338	19	13	.389	156	+15	+2	—	—	+7	2.4
2025	25	MLB	Detroit Tigers	213	191	41	6	2	4	21	56	0	4	0	.215	.292	.330	.622	.115	.280	26	10	.282	74	-6	+1	+1	+1	+6	0.3
2025	25	AAA	Toledo Mud Hens	55	45	12	3	3	1	10	18	0	1	0	.267	.400	.533	.933	.267	.423	33	18	.405	168	+4	+0	—	—	+2	0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			656	586	136	22	10	16	63	169	3	21	5	.232	.310	.386	.695	.154	.297	26	10	.310	96	-3	+2	+9	+5	+19	3.2

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
Parker Meadows (OGILVIE)	26	45	45	60	55	.227/.300/.378	.152	.280	3	5	24%	9%	91	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Blake Tekotte 2012 · MLB	25	44→46	50	52→55	47	.225/.293/.380	.155	.283	17	23	27%	8%	89	+0.9	.203/.260/.335	.132	.279	13	17	31%	6%	63	-0.9	.194/.258/.314	.119	.261	10	10	28%	6%	53	-0.8
✕Richie Palacios 2023 · MLB	26	51→53	44→50	58→55	50	.246/.318/.376	.130	.305	9	20	21%	8%	97	+1.5	.232/.317/.355	.123	.273	12	18	19%	10%	92	+1.2	.220/.315/.334	.114	.255	12	20	18%	11%	84	+0.3
●TJ Friedl 2023 · MLB	27	47→53	48→50	55	48	.234/.303/.384	.149	.269	15	16	19%	7%	93	+1.3	.244/.323/.394	.150	.276	16	19	17%	8%	105	+2.1	.246/.337/.381	.136	.276	15	18	16%	10%	103	+1.8
✕Josh Rojas 2020 · MLB	26	46→55	48→50	55	49	.231/.297/.380	.149	.276	14	24	22%	8%	89	+1.0	.245/.318/.381	.136	.306	13	20	22%	9%	98	+1.6	.254/.328/.372	.118	.320	10	18	22%	10%	95	+1.1
●Josh Smith 2023 · MLB	25	48→53	46→45	52→50	51	.234/.325/.366	.131	.293	13	18	23%	9%	98	+1.6	.234/.323/.360	.126	.288	12	12	22%	9%	96	+1.5	.239/.327/.362	.123	.288	12	10	20%	9%	94	+1.0
✕Luis González 2023 · MLB	27	48→50	46→45	52→50	49	.236/.310/.364	.128	.299	14	18	25%	9%	91	+1.1	.235/.308/.352	.117	.309	10	18	25%	8%	87	+0.8	.219/.300/.302	.083	.281	4	28	22%	9%	68	-0.1
✕Manuel Margot 2021 · MLB	26	51→53	46→50	54→60	50	.249/.308/.386	.137	.288	12	23	18%	8%	95	+1.4	.257/.315/.377	.120	.299	11	18	17%	8%	95	+1.4	.260/.315/.371	.111	.303	9	15	17%	7%	89	+0.7
✕Chip Ambres 2006 · MLB	26	49	48→50	52→50	51	.242/.317/.393	.151	.292	15	20	22%	9%	102	+1.8	.218/.291/.358	.140	.272	15	12	25%	9%	82	+0.5	.214/.283/.358	.144	.260	17	6	24%	8%	76	+0.0
✕Matt Long 2013 · AAA	26	47→54	45→50	54→55	47	.233/.292/.366	.133	.278	12	19	20%	7%	83	+0.6	.217/.273/.337	.120	.284	11	19	26%	7%	68	-0.5	.203/.260/.310	.107	.270	10	18	27%	7%	53	-1.3
✕Jake Fraley 2021 · MLB	26	48→46	51→55	53→55	41	.243/.297/.414	.171	.310	17	19	27%	6%	98	+1.6	.239/.331/.408	.169	.300	21	19	26%	11%	111	+2.5	.240/.341/.409	.169	.286	23	23	23%	12%	110	+1.3
✕Nate Eaton 2023 · MLB	26	46→51	45→50	59→60	44	.226/.292/.352	.126	.295	13	28	27%	7%	81	+0.4	.218/.268/.353	.135	.282	15	28	28%	6%	70	-0.3	.215/.263/.353	.138	.275	16	29	28%	5%	65	-0.5
✕Matt Vierling 2023 · MLB	26	49→55	45→50	52→50	46	.242/.298/.366	.124	.292	13	16	22%	7%	86	+0.8	.252/.312/.387	.135	.309	14	10	22%	8%	98	+1.6	.252/.317/.390	.138	.311	14	7	22%	8%	97	+1.1
✕Jason Donald 2011 · MLB	26	48→55	43→45	55→50	45	.234/.296/.354	.120	.302	10	14	25%	7%	82	+0.5	.240/.296/.343	.103	.316	7	13	25%	6%	79	+0.3	.238/.290/.334	.095	.321	6	11	26%	5%	71	-0.2
✕Alen Hanson 2019 · MLB	26	50→51	47→50	58→60	42	.249/.285/.393	.144	.294	13	25	21%	5%	87	+0.8	.220/.264/.344	.124	.278	12	17	25%	5%	66	-0.6	.189/.235/.277	.088	.250	6	17	26%	5%	31	-1.0
●Michael Saunders 2013 · MLB	26	45→52	51→55	53→55	49	.231/.300/.393	.161	.291	18	18	26%	9%	95	+1.4	.244/.321/.406	.162	.310	17	15	25%	10%	106	+2.2	.242/.330/.423	.181	.305	20	8	26%	11%	109	+1.8
✕Óscar Mercado 2021 · MLB	26	49→53	46→55	55→60	46	.241/.295/.372	.132	.285	13	25	21%	6%	86	+0.8	.224/.288/.371	.147	.263	15	21	21%	7%	84	+0.6	.223/.288/.374	.151	.263	15	26	21%	7%	81	+0.3
●Nate McLouth 2008 · MLB	26	51→55	49→60	59→60	49	.252/.320/.406	.154	.289	15	27	19%	7%	106	+2.2	.254/.339/.443	.189	.278	20	20	17%	10%	124	+3.4	.244/.335/.425	.181	.264	20	19	16%	10%	112	+2.4
✕Leonys Martin 2013 · MLB	25	52→55	48→50	51→60	46	.260/.309/.411	.151	.297	14	21	18%	6%	102	+1.9	.254/.304/.377	.123	.307	11	30	20%	6%	91	+1.1	.241/.297/.381	.140	.306	16	24	26%	7%	85	+0.6
✕Hoy Park 2023 · MLB	27	43→50	47→45	53→55	49	.217/.296/.348	.131	.283	16	16	28%	10%	82	+0.5	.222/.306/.335	.113	.303	11	17	28%	10%	82	+0.5	.222/.314/.322	.100	.305	9	19	27%	11%	79	+0.2
✕Cal Stevenson 2023 · MLB	26	46→56	43→45	53→60	51	.225/.303/.337	.112	.295	11	20	26%	10%	81	+0.4	.237/.325/.359	.122	.309	12	27	25%	11%	96	+1.5	.238/.332/.360	.122	.307	12	34	24%	12%	98	+0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)