Jahmai Jones — OGILVIE

Jahmai JonesRF Detroit Tigers

Age 28 R/R 5'10" / 210 lbs MLB HR +5%H +3% Svc 1.860 · Ctrl thru 2030 peak 2.2 · 2026

wRC+†vL 172124vR 73

AVG/OBP/SLG.249 / .341 / .444

PA350

HR12

SB10

K%25

BB%10

MLB%100%

Scouting · now → future

HIT

55→55

PWR

55→55

SPD

55→55

EYE

52↗60

trajectory · 10 yrs

1.7peak

2026

Contract

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

Status Pre-Arb

MLB Debut 2021

Service 1.860 yrs.days

Team Control Through 2030

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+2.2	$18M	+$17M
2027	Pre-Arb	$0.8M	+2.2	$18M	+$17M
2028	Arb-1	$4M	+2.0	$17M	+$13M
2029	Arb-2	$7M	+1.8	$16M	+$9M
2030	Arb-3	$8M	+1.4	$13M	+$5M
Totals		$20M		$81M	+$61M

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
2015	17	ROK	AZL Angels	183	167	31	4	1	2	10	48	4	16	7	.186	.249	.257	.506	.072	.246	26	5	.226	31	-14	+0	+0	+1	+5	-0.8
2016	18	ROK	2 teams	296	269	66	10	2	3	15	59	7	20	6	.245	.302	.331	.633	.086	.301	20	5	.276	70	-10	+2	+0	+1	+8	0.1
2017	19	A	2 teams	578	530	130	23	6	11	33	139	8	27	13	.245	.299	.374	.673	.128	.312	24	6	.286	77	-15	+0	+0	+2	+16	0.4
2018	20	A+	3 teams	649	584	119	19	9	11	54	171	7	28	8	.204	.279	.324	.603	.120	.266	26	8	.265	61	-28	+2	+0	+2	+18	-0.5
2019	21	AA	2 teams	605	554	99	19	3	5	37	166	5	16	14	.179	.237	.251	.487	.072	.240	27	6	.218	25	-51	-2	+0	+2	+17	-3.5
2021	23	AAA	2 teams	367	335	66	11	2	9	27	109	3	12	3	.197	.263	.322	.585	.125	.260	30	7	.260	57	-18	+1	-3	+1	+10	-0.8
2022	24	AAA	Norfolk Tides	118	104	20	4	1	2	9	27	5	2	1	.192	.288	.308	.596	.115	.240	23	8	.271	66	-5	+0	+0	+0	+3	-0.1
2023	25	AAA	Nashville Sounds	445	380	92	25	3	11	57	119	5	12	5	.242	.348	.411	.759	.168	.323	27	13	.334	114	+7	+0	+0	+2	+13	2.2
2024	26	AAA	2 teams	166	148	38	5	2	4	9	46	6	11	2	.257	.325	.399	.724	.142	.343	28	5	.320	103	+1	+1	+1	-2	+5	0.6
2025	27	AAA	2 teams	355	306	79	18	5	12	35	84	12	10	2	.258	.357	.467	.824	.209	.318	24	10	.358	132	+13	+1	-2	-4	+10	1.9
▸ 2026 Season (actual · ROS · total)
2026	28	MLB	Detroit Tigers	25	25	6	1	0	2	0	6	0	0	0	.240	.240	.520	.760	.280	.235	24	0	.323	105	+0	+0	-0	-0	+1	0.0
ROS	28	MLB	DET	325	282	71	15	3	11	32	81	8	10	2	.252	.345	.443	.788	.191	.310	25	10	.350	126	+9	+1	-0	+1	+9	2.1
TOT	28	MLB	DET	350	307	77	16	3	13	32	87	8	10	2	.251	.337	.450	.787	.199	.306	25	9	.348	124	+10	+1	-0	+1	+10	2.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB	DET	360	312	79	16	4	13	36	91	9	10	2	.253	.347	.455	.802	.202	.309	25	10	.348	124	+10	+1	-2	+1	+10	2.1
2028	30	MLB	DET	366	317	78	16	4	12	37	94	9	9	2	.246	.342	.435	.777	.189	.308	26	10	.345	122	+9	+1	-2	+1	+10	2.0
2029	31	MLB	DET	351	305	74	15	3	12	35	92	8	7	1	.243	.336	.430	.766	.187	.307	26	10	.341	119	+8	+1	-3	+1	+10	1.7
2030	32	MLB	DET	332	288	69	14	3	11	33	88	8	5	1	.240	.334	.424	.758	.184	.306	27	10	.337	116	+6	+1	-4	+1	+9	1.4
2031	33	MLB	DET	302	262	62	13	3	9	30	82	7	4	0	.237	.331	.412	.743	.176	.304	27	10	.331	111	+4	+1	-4	+1	+9	1.0
2032	34	MLB	DET	259	226	53	11	2	8	25	73	6	3	0	.235	.327	.407	.734	.173	.303	28	10	.324	106	+2	+1	-5	+1	+7	0.6
2033	35	MLB	DET	207	180	41	8	2	6	20	60	5	2	0	.228	.322	.394	.716	.167	.301	29	10	.317	100	+0	+0	-6	+1	+6	0.1
2034	36	MLB	DET	151	133	29	6	1	4	14	46	3	1	0	.218	.307	.368	.675	.150	.299	30	9	.308	94	-1	+0	-6	+1	+4	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			6415	5682	1296	252	59	156	548	1675	125	205	69	.228	.310	.376	.685	.147	.293	26	9	.303	90	-74	+13	-36	+15	+182	10.3
/ 162G	—			650	576	132	26	6	16	56	170	13	21	7	.229	.312	.378	.691	.149	.294	26	9	.303	90	-7	+1	-4	+2	+18	1.0

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
2015	17	ROK	AZL Angels	183	160	39	6	2	2	17	33	4	16	7	.244	.331	.344	.675	.100	.294	18	9	.307	93	-1	+0	—	—	+5	0.4
2016	18	A	Burlington Bees	70	62	15	1	0	1	5	13	0	1	0	.242	.299	.306	.605	.065	.286	19	7	.266	62	-3	+0	—	—	+2	-0.1
2016	18	ROK	Orem Owlz	226	196	63	12	3	3	21	29	7	19	6	.321	.406	.459	.865	.138	.364	13	9	.385	153	+13	+1	—	—	+6	2.2
2017	19	A+	Inland Empire 66ers	191	172	52	11	3	5	13	43	5	9	6	.302	.368	.488	.857	.186	.379	23	7	.377	147	+10	-1	—	—	+5	1.5
2017	19	A	Burlington Bees	387	346	94	18	4	9	32	63	3	18	7	.272	.339	.425	.763	.153	.309	16	8	.336	115	+7	+1	—	—	+11	1.9
2018	20	AA	Mobile BayBears	212	184	45	10	4	2	24	51	2	11	1	.245	.338	.375	.713	.130	.323	24	11	.320	103	+1	+2	—	—	+6	0.9
2018	20	A+	Inland Empire 66ers	347	298	70	10	5	8	43	63	4	13	3	.235	.338	.383	.721	.148	.272	18	12	.326	107	+3	+1	—	—	+10	1.4
2018	20	INTL	Mesa Solar Sox	90	78	25	6	1	2	10	23	1	4	4	.321	.404	.500	.904	.179	.426	26	11	.396	161	+6	-1	—	—	+3	0.8
2019	21	AA	Mobile BayBears	544	482	113	22	3	5	50	109	4	9	11	.234	.312	.324	.635	.089	.288	20	9	.288	78	-13	-3	—	—	+15	-0.1
2019	21	INTL	Mesa Solar Sox	61	53	16	5	0	2	6	16	1	7	3	.302	.383	.509	.893	.208	.389	26	10	.388	155	+4	+0	—	—	+2	0.6
2021	23	MLB	Baltimore Orioles	72	67	10	3	0	0	4	26	1	1	0	.149	.208	.194	.402	.045	.244	36	6	.190	4	-8	+0	-3	+1	+2	-0.8
2021	23	AAA	Norfolk Tides	295	255	62	9	3	11	35	68	2	11	3	.243	.338	.431	.769	.188	.287	23	12	.341	119	+6	+1	—	—	+8	1.6
2022	24	AAA	Norfolk Tides	118	99	21	5	1	2	14	23	5	2	1	.212	.339	.343	.682	.131	.257	19	12	.317	101	+0	+0	—	—	+3	0.4
2023	25	AAA	Nashville Sounds	445	354	95	28	3	12	83	97	5	12	5	.268	.414	.466	.880	.198	.337	22	19	.392	158	+29	+0	—	—	+13	4.3
2024	26	MLB	New York Yankees	47	42	10	1	1	1	2	16	2	1	1	.238	.304	.381	.685	.143	.360	34	4	.302	89	-1	-0	+1	-2	+1	-0.1
2024	26	AAA	Scranton/Wilkes-Barre RailRiders	119	102	31	5	1	4	11	25	4	10	1	.304	.393	.490	.883	.186	.365	21	9	.386	154	+7	+2	—	—	+3	1.2
2025	27	MLB	Detroit Tigers	150	129	37	11	1	7	18	32	3	2	0	.287	.387	.550	.937	.264	.333	21	12	.409	171	+12	+0	-2	-4	+4	1.1
2025	27	AAA	Toledo Mud Hens	205	170	47	9	4	6	24	46	9	8	2	.276	.394	.482	.876	.206	.345	22	12	.386	154	+12	+1	—	—	+6	1.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			269	238	57	15	2	8	24	74	6	4	1	.239	.325	.420	.745	.181	.314	28	9	.332	112	+4	+0	-4	-4	+8	0.3

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
Jahmai Jones (OGILVIE)	28	55	55	55	60	.249/.341/.444	.195	.310	12	10	25%	10%	126	+2.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Randy Arozarena 2023 · MLB	28	54→56	54→55	52→55	47	.269/.341/.461	.192	.339	21	24	26%	8%	130	+3.8	.248/.343/.423	.175	.311	20	21	25%	10%	121	+3.2	.235/.343/.407	.173	.295	20	22	26%	11%	114	+3.0
●Corey Hart 2010 · MLB	28	53→56	53→60	53→55	48	.268/.323/.456	.188	.300	19	18	18%	7%	121	+3.2	.267/.329/.465	.198	.312	23	9	21%	8%	125	+3.5	.266/.331/.473	.207	.312	25	6	23%	8%	121	+3.2
●Wil Myers 2019 · MLB	28	47→54	57→60	54→55	50	.244/.319/.446	.202	.298	25	20	26%	10%	116	+2.8	.251/.324/.450	.199	.335	23	15	30%	10%	120	+3.1	.252/.331/.448	.196	.337	23	13	30%	10%	118	+2.0
●Steven Souza Jr. 2016 · MLB	27	51→57	55→60	52→55	48	.255/.331/.443	.188	.331	23	22	29%	10%	121	+3.2	.246/.326/.431	.185	.332	23	14	31%	10%	115	+2.8	.241/.329/.432	.190	.320	24	13	30%	10%	113	+2.0
●Justin Upton 2016 · MLB	28	49→59	57→65	49→55	52	.254/.336/.456	.202	.309	25	12	26%	10%	126	+3.5	.254/.332/.473	.219	.317	28	11	28%	10%	128	+3.7	.256/.337/.481	.225	.321	30	10	29%	10%	128	+3.8
●Ramón Laureano 2022 · MLB	28	50→57	57→60	50→55	46	.259/.333/.461	.203	.316	24	14	26%	8%	127	+3.6	.234/.309/.403	.169	.300	19	16	28%	7%	102	+1.8	.260/.326/.446	.186	.336	21	13	27%	7%	117	+2.1
●Seiya Suzuki 2023 · MLB	28	50→60	52→60	47→50	50	.252/.327/.426	.173	.309	20	12	24%	9%	114	+2.7	.272/.348/.470	.198	.337	22	10	24%	10%	134	+4.1	.270/.351/.481	.211	.332	25	9	25%	11%	134	+4.1
●Taylor Ward 2022 · MLB	28	49→52	53→60	47→50	50	.247/.329/.429	.182	.310	19	9	26%	10%	116	+2.8	.258/.337/.432	.174	.308	21	7	22%	10%	120	+3.1	.240/.326/.442	.201	.281	26	5	24%	10%	116	+2.8
✕Jake Fraley 2023 · MLB	28	47→46	53→55	51→55	56	.241/.340/.412	.171	.300	22	16	26%	12%	117	+2.9	.252/.329/.404	.152	.299	17	23	21%	10%	109	+2.4	.253/.327/.391	.138	.299	15	27	19%	9%	101	+1.0
●Harrison Bader 2022 · MLB	28	47→55	56→55	50→55	49	.245/.324/.441	.196	.295	24	14	25%	9%	118	+3.0	.242/.294/.380	.138	.285	15	23	20%	6%	89	+0.9	.240/.297/.372	.133	.292	15	22	23%	6%	85	+0.5
●Eric Byrnes 2004 · MLB	28	51→57	52→60	58→60	53	.255/.322/.441	.186	.279	17	13	16%	8%	115	+2.8	.262/.324/.442	.180	.291	18	15	16%	7%	118	+3.0	.261/.323/.441	.179	.281	19	28	15%	7%	112	+2.5
●Ryan Raburn 2009 · MLB	28	48→55	52→60	52→50	46	.244/.304/.419	.175	.300	19	14	25%	8%	103	+1.9	.264/.324/.463	.199	.314	24	9	23%	7%	123	+3.3	.267/.324/.468	.201	.318	25	5	24%	7%	121	+2.1
✕Austin Slater 2022 · MLB	29	49→59	54→50	55	51	.246/.336/.425	.179	.317	21	20	28%	10%	118	+3.0	.253/.342/.398	.145	.339	16	18	27%	11%	113	+2.6	.250/.347/.364	.114	.347	12	14	28%	11%	104	+0.9
●Jonny Gomes 2008 · MLB	27	47→52	59→60	48→50	51	.245/.339/.462	.217	.307	27	13	28%	10%	129	+3.7	.237/.315/.434	.197	.295	24	12	27%	8%	112	+2.6	.243/.324/.434	.191	.295	24	8	25%	9%	111	+2.0
★Jayson Werth 2007 · MLB	28	51→60	51→60	53→55	52	.249/.340/.416	.167	.329	18	15	28%	11%	118	+3.0	.268/.365/.455	.187	.338	22	18	25%	13%	137	+4.3	.274/.374/.499	.225	.326	28	18	23%	13%	144	+4.8
●Matt Joyce 2013 · MLB	28	51→56	54→60	48→50	56	.259/.347/.452	.193	.304	21	9	22%	11%	129	+3.7	.244/.335/.410	.166	.289	18	7	21%	12%	114	+2.7	.231/.347/.434	.202	.261	25	3	21%	15%	118	+1.9
●Mitch Haniger 2019 · MLB	28	53→58	55→65	48→50	51	.269/.347/.462	.193	.319	21	8	22%	9%	132	+4.0	.258/.336/.475	.217	.306	27	7	24%	9%	131	+3.9	.243/.320/.471	.228	.278	33	2	25%	9%	120	+2.2
●Nate McLouth 2009 · MLB	27	51→55	55→60	58→60	54	.261/.340/.460	.199	.284	21	22	16%	9%	128	+3.7	.242/.334/.413	.171	.267	19	18	17%	11%	114	+2.7	.223/.325/.366	.142	.250	16	16	17%	12%	93	+1.0
✕Gregory Polanco 2020 · MLB	28	48→55	55→60	53→55	52	.246/.319/.438	.192	.285	22	12	22%	9%	114	+2.7	.221/.292/.402	.181	.278	23	16	28%	9%	94	+1.3	.201/.272/.373	.171	.249	24	19	29%	8%	73	-0.1
●Michael Saunders 2015 · MLB	28	50→52	52→55	51→55	52	.252/.327/.427	.175	.309	18	15	24%	10%	115	+2.7	.239/.316/.405	.166	.305	18	6	26%	10%	105	+2.1	.215/.287/.378	.162	.268	19	2	26%	8%	80	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)