Ji Man Choi — OGILVIE

Ji Man ChoiDH Syracuse Mets

Age 35 L/R 6'0" / 260 lbs AAA H +5%HR +3% Svc 10.000 · Ctrl thru 2026 peak 0.4 · 2026

wRC+†114

AVG/OBP/SLG.230 / .314 / .441

PA193

HR9

K%30

BB%10

xwOBA.349

Barrel%19.7%

MLB%10%

Scouting · now → future

PWR

61→61

SPD

29→29

EYE

67→67

Contract

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

Status FA

MLB Debut 2016

Service 10.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+0.4	$2M	+$0.0M
Totals		$2M		$2M	+$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
2010	19	ROK	2 teams	209	188	50	11	2	2	17	56	1	10	1	.266	.330	.378	.708	.112	.361	27	8	.307	93	-2	+2	+0	-4	+6	0.2
2012	21	A	2 teams	466	404	105	20	1	11	42	117	15	1	3	.260	.351	.396	.747	.136	.336	25	9	.333	113	+7	-1	+0	-8	+13	1.1
2013	22	AA	3 teams	499	446	111	31	5	15	41	91	8	2	3	.249	.323	.442	.765	.193	.280	18	8	.332	112	+7	-1	+0	-9	+14	1.1
2014	23	AAA	3 teams	355	315	78	9	2	6	31	67	3	3	3	.248	.321	.346	.667	.098	.295	19	9	.301	88	-5	-1	+0	-6	+10	-0.2
2015	24	INTL	2 teams	181	163	41	9	0	2	17	47	0	0	2	.252	.322	.344	.666	.092	.339	26	9	.298	86	-3	-1	+0	-3	+5	-0.2
2016	25	AAA	2 teams	356	310	77	18	1	9	37	72	2	6	7	.248	.332	.400	.732	.152	.289	20	10	.318	102	+1	-2	-2	-6	+10	0.1
2017	26	AAA	2 teams	356	319	78	23	1	13	25	109	4	3	1	.245	.307	.445	.753	.201	.317	31	7	.322	104	+2	+0	-1	-6	+10	0.5
2018	27	AAA	2 teams	470	406	105	25	1	18	56	113	3	3	0	.259	.353	.458	.811	.200	.311	24	12	.348	124	+13	+1	-0	-8	+13	1.9
2019	28	MLB	Tampa Bay Rays	487	410	109	21	2	20	64	108	6	2	3	.266	.373	.473	.846	.207	.308	22	13	.361	134	+19	-1	-8	-9	+14	1.5
2020	29	MLB	Tampa Bay Rays	145	122	29	13	0	3	20	36	0	0	0	.238	.345	.418	.763	.180	.302	25	14	.327	109	+1	+0	-3	-3	+4	-0.0
2021	30	MLB	2 teams	332	282	65	16	0	12	47	95	2	0	0	.230	.344	.415	.759	.184	.301	29	14	.328	109	+3	+0	-4	-6	+9	0.3
2022	31	MLB	Tampa Bay Rays	419	356	85	23	0	11	58	123	2	0	0	.239	.349	.396	.745	.157	.329	29	14	.321	104	+2	+0	-2	-7	+12	0.4
2023	32	MLB	2 teams	175	154	28	6	1	9	17	53	1	0	0	.182	.267	.409	.677	.227	.200	30	10	.278	71	-6	+0	-1	-3	+5	-0.5
2024	33	AAA	Syracuse Mets	104	89	15	2	0	3	12	36	0	0	0	.169	.267	.292	.559	.124	.226	35	12	.256	54	-5	+0	+0	-2	+3	-0.4
▸ 2026 Season
2026	35	MLB	NYM	193	170	39	7	1	9	20	58	1	2	1	.229	.314	.441	.755	.212	.292	30	10	.335	114	+3	+0	-2	-3	+5	0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4747	4134	1015	234	17	143	504	1181	48	32	24	.246	.334	.414	.749	.169	.305	25	11	.325	107	+38	-3	-23	-85	+134	6.2
/ 162G	—			650	566	139	32	2	20	69	162	7	4	3	.246	.335	.415	.750	.170	.304	25	11	.325	107	+5	-0	-3	-12	+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
2010	19	A+	High Desert Mavericks	50	43	13	1	1	1	6	9	0	0	0	.302	.388	.442	.830	.140	.353	18	12	.364	137	+2	+0	—	—	+1	0.4
2010	19	ROK	AZL Mariners	159	135	51	15	2	1	21	30	1	10	1	.378	.465	.541	1.006	.163	.472	19	13	.439	194	+17	+2	—	—	+5	2.3
2012	21	A	Clinton LumberKings	294	242	72	14	1	8	39	55	12	0	2	.298	.420	.463	.883	.165	.358	19	13	.397	162	+20	-1	—	—	+8	2.9
2012	21	INTL	Adelaide Bite	172	139	43	6	1	8	26	27	3	1	1	.309	.429	.540	.968	.230	.324	16	15	.417	177	+15	-0	—	—	+5	2.0
2013	22	AAA	Tacoma Rainiers	52	45	11	2	0	2	4	7	2	0	0	.244	.333	.422	.756	.178	.250	13	8	.333	113	+1	+0	—	—	+1	0.2
2013	22	AA	Jackson Generals	236	198	53	10	3	9	32	28	4	2	2	.268	.380	.485	.865	.217	.270	12	14	.380	149	+13	-0	—	—	+7	2.0
2013	22	A+	High Desert Mavericks	211	181	61	24	3	7	27	33	2	0	1	.337	.429	.619	1.047	.282	.380	16	13	.450	203	+24	-0	—	—	+6	3.1
2014	23	AAA	Tacoma Rainiers	281	237	67	7	2	5	36	42	3	2	2	.283	.384	.392	.776	.110	.323	15	13	.348	125	+8	-0	—	—	+8	1.6
2014	23	AA	Jackson Generals	15	11	3	1	0	1	4	2	0	0	0	.273	.467	.636	1.103	.364	.250	13	27	.471	218	+2	+0	—	—	+0	0.2
2014	23	INTL	Tigres de Aragua	59	50	11	2	0	1	8	15	0	1	1	.220	.328	.320	.648	.100	.294	25	14	.296	85	-1	-0	—	—	+2	0.0
2015	24	AAA	Tacoma Rainiers	67	57	17	4	0	1	10	14	0	0	1	.298	.403	.421	.824	.123	.381	21	15	.374	144	+3	-0	—	—	+2	0.5
2015	24	INTL	Estrellas de Oriente	114	96	21	4	1	3	17	20	0	0	1	.219	.336	.375	.711	.156	.243	18	15	.321	104	+1	-0	—	—	+3	0.3
2016	25	MLB	Los Angeles Angels	129	112	19	4	0	5	16	27	0	2	4	.170	.273	.339	.613	.170	.173	21	12	.277	70	-4	-1	-2	-6	+4	-1.0
2016	25	AAA	Salt Lake Bees	227	188	65	17	1	5	31	34	2	4	3	.346	.443	.527	.970	.181	.390	15	14	.418	178	+20	-0	—	—	+6	2.7
2017	26	MLB	New York Yankees	18	15	4	1	0	2	2	5	0	0	0	.267	.353	.733	1.086	.467	.222	28	11	.430	187	+2	+0	-1	-6	+1	-0.5
2017	26	AAA	Scranton/Wilkes-Barre RailRiders	338	288	83	25	1	15	39	86	4	3	1	.288	.381	.538	.919	.250	.351	25	12	.394	159	+23	+0	—	—	+10	3.3
2018	27	MLB	Tampa Bay Rays	221	190	50	14	1	10	26	55	3	2	0	.263	.361	.505	.866	.242	.315	25	12	.377	147	+12	+0	-0	-8	+6	1.0
2018	27	AAA	Durham Bulls	249	203	59	13	0	7	43	49	0	1	0	.291	.415	.458	.873	.167	.347	20	17	.388	155	+15	+0	—	—	+7	2.3
2019	28	MLB	Tampa Bay Rays	487	410	107	20	2	19	64	108	6	2	3	.261	.369	.459	.827	.198	.303	22	13	.364	137	+20	-1	-8	-9	+14	1.6
2020	29	MLB	Tampa Bay Rays	145	122	28	13	0	3	20	36	0	0	0	.230	.338	.410	.748	.180	.291	25	14	.329	110	+2	+0	-3	-3	+4	-0.0
2021	30	MLB	Tampa Bay Rays	305	258	59	14	0	11	45	87	2	0	0	.229	.348	.411	.758	.182	.300	29	15	.343	120	+7	+0	-4	-6	+9	0.6
2021	30	AAA	Durham Bulls	27	23	6	2	0	0	3	7	0	0	0	.261	.346	.348	.694	.087	.353	26	11	.307	93	-0	+0	—	—	+1	0.1
2022	31	MLB	Tampa Bay Rays	419	356	83	22	0	11	58	123	2	0	0	.233	.344	.388	.731	.154	.320	29	14	.330	111	+5	+0	-2	-7	+12	0.7
2023	32	MLB	San Diego Padres	117	104	17	5	0	6	10	35	1	0	0	.163	.243	.385	.628	.221	.169	30	9	.274	68	-4	+0	-1	-3	+3	-0.6
2023	32	AAA	El Paso Chihuahuas	58	48	12	1	1	3	9	14	0	0	0	.250	.368	.500	.868	.250	.281	24	16	.375	145	+3	+0	—	—	+2	0.5
2024	33	AAA	Syracuse Mets	104	84	16	2	0	4	17	29	0	0	0	.190	.327	.357	.684	.167	.222	28	16	.306	92	-1	+0	—	—	+3	0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1841	1567	367	93	3	67	241	476	14	6	7	.234	.341	.426	.767	.191	.288	26	13	.340	119	+39	-2	-22	-49	+52	1.9

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
Ji Man Choi (OGILVIE)	35	—	61	29	67	.230/.314/.441	.210	.292	9	2	30%	10%	114	+0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adam Lind 2018 · MLB	35	51→61	57→60	43→40	53	.268/.333/.465	.197	.291	26	2	18%	9%	127	+3.6	.237/.288/.398	.161	.272	21	4	21%	7%	91	+1.1	.199/.237/.322	.123	.234	16	0	23%	5%	48	-0.9
✕Olmedo Saenz 2006 · MLB	35	50	58→60	42→30	50	.262/.328/.470	.208	.288	27	3	20%	8%	126	+3.5	.258/.333/.467	.209	.292	25	4	21%	8%	128	+3.6	.249/.336/.468	.219	.281	27	0	21%	9%	126	+1.0
★Jeromy Burnitz 2004 · MLB	35	43→52	60→65	40→45	52	.237/.318/.452	.215	.263	29	7	23%	10%	118	+3.0	.258/.326/.478	.220	.282	29	6	20%	9%	128	+3.6	.259/.328/.474	.215	.280	29	4	19%	8%	121	+2.9
✕Brett Harper 2015 · AAA	34	49→51	55→60	40→30	43	.254/.309/.436	.181	.307	25	7	26%	6%	110	+2.4	.254/.312/.437	.183	.311	27	5	27%	7%	111	+2.5	.256/.315/.438	.182	.308	29	0	26%	7%	111	+1.3
✕Marcus Thames 2010 · MLB	33	44→46	63→70	36→40	46	.244/.302/.470	.225	.279	33	3	26%	8%	116	+2.8	.248/.311/.429	.181	.298	25	4	25%	8%	108	+2.3	.270/.334/.438	.168	.328	25	0	25%	8%	117	+1.2
✕Matt Joyce 2019 · MLB	34	45→55	56→60	41→50	61	.235/.341/.430	.195	.266	23	4	21%	14%	121	+3.2	.250/.351/.398	.148	.305	17	4	22%	13%	118	+3.0	.251/.368/.372	.121	.315	14	1	22%	15%	114	+0.7
✕Yadiel Hernandez 2022 · MLB	34	49→56	56→55	45	46	.259/.315/.443	.184	.308	25	7	25%	8%	114	+2.7	.255/.302/.397	.142	.316	17	7	24%	6%	96	+1.5	.272/.317/.409	.136	.334	16	4	23%	6%	104	+1.1
✕John Mabry 2005 · MLB	34	51	56→60	41→30	52	.266/.336/.459	.193	.300	25	4	21%	9%	127	+3.6	.237/.306/.396	.159	.286	18	3	23%	9%	98	+1.6	.218/.286/.360	.141	.266	15	0	23%	8%	77	+0.1
●Steve Pearce 2018 · MLB	35	48→57	55→60	38→50	51	.251/.323/.436	.185	.278	23	3	20%	9%	115	+2.8	.248/.330/.420	.172	.288	20	3	21%	9%	115	+2.7	.236/.331/.400	.164	.278	19	0	22%	10%	108	+0.8
✕Adrián González 2017 · MLB	35	55→64	53→65	36→30	53	.280/.347/.457	.177	.311	21	2	18%	9%	131	+3.9	.258/.318/.404	.146	.295	16	3	18%	8%	105	+2.1	.241/.295/.364	.122	.276	13	0	17%	7%	80	+0.2
✕Ryan Ludwick 2013 · MLB	35	49→56	54→65	36→45	51	.252/.324/.432	.180	.291	21	2	22%	9%	115	+2.8	.243/.308/.391	.148	.294	17	3	22%	8%	97	+1.5	.233/.294/.344	.111	.292	11	0	23%	7%	74	-0.0
✕Carlos Pena 2013 · MLB	35	40→49	55→70	42→45	61	.211/.338/.402	.191	.263	23	4	28%	15%	114	+2.7	.218/.320/.377	.159	.279	18	4	27%	12%	99	+1.7	.207/.299/.352	.145	.258	17	2	26%	11%	74	-0.0
✕Jay Bruce 2020 · MLB	33	42→52	62→65	42→50	50	.236/.302/.464	.228	.257	31	3	23%	9%	115	+2.7	.221/.284/.426	.205	.253	27	6	25%	8%	97	+1.5	.192/.247/.431	.239	.197	31	0	23%	7%	74	-0.0
●Adam Dunn 2014 · MLB	34	35→45	58→70	41→50	56	.201/.315/.399	.198	.258	28	2	33%	14%	104	+2.0	.229/.335/.439	.210	.298	28	4	31%	13%	121	+3.2	.224/.343/.434	.209	.293	28	1	31%	14%	115	+2.4
✕Kole Calhoun 2023 · MLB	35	41→51	52→60	44→50	46	.218/.290/.383	.164	.272	21	5	28%	8%	88	+0.9	.225/.290/.379	.154	.278	17	4	25%	7%	87	+0.8	.223/.290/.384	.161	.264	18	0	22%	7%	86	+0.6
✕Justin Smoak 2020 · MLB	33	45→52	59→65	39→30	61	.241/.347/.455	.215	.271	27	1	23%	14%	131	+3.9	.224/.320/.406	.182	.275	22	5	26%	11%	107	+2.2	.175/.250/.349	.174	.225	20	0	32%	8%	58	-0.3
●Kevin Barker 2010 · MLB	35	44→47	53→55	44→40	47	.232/.294/.405	.173	.275	22	3	25%	8%	95	+1.4	.255/.320/.425	.170	.295	18	4	20%	8%	111	+2.5	.273/.342/.440	.167	.313	16	1	17%	9%	123	+1.9
✕Kendrys Morales 2019 · MLB	36	48→58	58→65	39→40	51	.255/.323/.451	.196	.280	28	2	21%	8%	120	+3.1	.235/.323/.376	.141	.263	17	5	18%	11%	100	+1.7	.191/.311/.246	.056	.214	6	0	13%	13%	63	-0.3
✕Justin Upton 2022 · MLB	34	39→49	57→65	43→55	50	.218/.303/.412	.194	.264	27	6	29%	10%	102	+1.8	.215/.298/.378	.163	.296	20	7	32%	9%	91	+1.1	.139/.242/.241	.101	.229	13	0	42%	9%	33	-0.5
✕Mike Napoli 2017 · MLB	35	44→54	56→65	44→50	56	.229/.331/.417	.187	.285	25	5	28%	13%	114	+2.7	.210/.302/.419	.209	.263	30	5	32%	11%	103	+1.9	.184/.278/.415	.232	.210	36	1	34%	10%	82	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)