Won-Bin Cho — OGILVIE

Won-Bin ChoOF Peoria Chiefs

Age 22 L/L 6'1" / 200 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION449 act + 9 ros · stats below = ROS only

showingROS

wRC+†80

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP281

ISO91

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$2M ctrl surplus

Tools · ContractCON 40 / POW 55

Toolsscout grade

CONTACT40

scouting grade only

POWER55

scouting grade only

EYE45

scouting grade only

SPEED50

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2029	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2031	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2032	Arb-2	$3M	+0.3	$0.8M	+$0.0M (cut)
2033	Arb-3	$4M	+0.2	$0.5M	+$0.0M (cut)
Totals		$2M		$5M	+$0.9M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2022	18	ROK	FCL Cardinals	—	100	76	16	3	1	1	20	27	4	6	4	211	400	316	716	105	312	27	20	344	119	+2	-0	—	—	+2	0.4
2023	19	A	Palm Beach Cardinals	—	452	378	102	14	5	7	64	98	4	32	11	270	381	389	770	119	341	22	14	347	121	+11	+2	—	—	+10	2.4
2024	20	A+	Peoria Chiefs	—	428	374	85	15	4	2	36	134	9	13	8	227	310	305	615	78	343	31	8	279	75	-13	-1	—	—	+9	-0.4
2025	21	A+	Peoria Chiefs	—	368	313	74	15	0	6	50	87	3	25	4	236	347	342	689	105	308	24	14	317	101	+0	+3	—	—	+8	1.2
2025	21	A	Palm Beach Cardinals	—	17	16	5	0	0	1	1	7	0	1	0	312	353	500	853	188	500	41	6	376	141	+1	+0	—	—	+0	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	FCL Cardinals	—	100	83	12	2	1	1	13	39	4	6	4	145	290	229	519	84	227	39	13	223	37	-7	-0	—	—	+2	-0.6
2023	19	A MLE	Palm Beach Cardinals	—	452	394	86	12	4	6	48	146	4	32	11	218	309	315	624	96	316	32	11	279	75	-13	+2	—	—	+10	-0.2
2024	20	A+ MLE	Peoria Chiefs	—	428	383	68	11	3	1	27	180	9	13	8	178	248	230	478	52	307	42	6	215	32	-35	-1	—	—	+9	-2.7
2025	21	A+ MLE	Peoria Chiefs	—	368	329	61	11	0	5	34	124	3	25	4	185	268	264	532	79	274	34	9	243	51	-22	+3	—	—	+8	-1.0
2025	21	A MLE	Palm Beach Cardinals	—	17	16	4	0	0	1	1	10	0	1	0	250	294	438	732	188	457	59	6	239	48	-1	+0	—	—	+0	-0.0
2022	18	ROK MLE	FCL Cardinals	—	100	83	12	2	1	1	13	39	4	6	4	145	290	229	519	84	256	39	13	223	37	—	—	—	—	—	—
2022	18	ROK RAW	FCL Cardinals	—	100	76	16	3	1	1	20	27	4	6	4	211	400	316	716	105	312	27	20	344	37	—	—	—	—	—	—
2023	19	A MLE	Palm Beach Cardinals	—	452	394	86	12	4	6	48	146	4	32	11	218	309	315	624	96	323	32	11	279	75	—	—	—	—	—	—
2023	19	A RAW	Palm Beach Cardinals	—	452	378	102	14	5	7	64	98	4	32	11	270	381	389	770	119	341	22	14	347	75	—	—	—	—	—	—
2024	20	A+ MLE	Peoria Chiefs	—	428	383	68	11	3	1	27	180	9	13	8	178	248	230	478	52	325	42	6	215	32	—	—	—	—	—	—
2024	20	A+ RAW	Peoria Chiefs	—	428	374	85	15	4	2	36	134	9	13	8	227	310	305	615	78	343	31	8	279	32	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	385	345	65	11	0	6	35	134	3	26	4	188	269	272	541	84	286	35	9	243	50	—	—	—	—	—	—
2025	21	A+ RAW	2 teams	—	385	329	79	15	0	7	51	94	3	26	4	240	347	350	697	109	314	24	13	320	50	—	—	—	—	—	—
2022	18	ROK MLE	FCL Cardinals	—	100	83	12	2	1	1	13	39	4	6	4	145	290	229	519	84	227	39	13	223	37	—	—	—	—	—	—
2023	19	A MLE	Palm Beach Cardinals	—	452	397	86	12	4	6	48	146	4	32	11	217	309	312	622	96	316	32	11	279	75	—	—	—	—	—	—
2024	20	A+ MLE	Peoria Chiefs	—	428	389	68	11	3	1	27	180	9	13	8	175	248	226	474	51	307	42	6	215	32	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	385	344	65	11	0	6	35	134	3	26	4	189	269	273	542	84	282	35	9	243	50	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Palm Beach Cardinals	—	452	397	86	12	4	6	48	146	4	32	11	217	309	312	622	96	316	32	11	279	75	—	—	—	—	—	—
2024	20	A+ MLE	Peoria Chiefs	—	428	389	68	11	3	1	27	180	9	13	8	175	248	226	474	51	307	42	6	215	32	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	385	344	65	11	0	6	35	134	3	26	4	189	269	273	542	84	282	35	9	243	50	—	—	—	—	—	—
YTD	22	A+ MLE	STL	—	449	395	90	19	2	16	50	132	4	30	9	228	321	408	728	180	300	29	11	313	98	-1	+2	+0	-3	+10	0.9
▸ 2026 season
YTD	22	A+ RAW	STL	—	233	193	52	14	2	8	37	58	3	23	6	269	395	487	882	218	346	25	16	391	98	—	—	—	—	—	—
YTD	22	AA RAW	STL	—	216	181	49	8	0	12	34	44	1	7	3	271	389	514	903	243	296	20	16	398	98	—	—	—	—	—	—
ROS	22	A+ MLE	STL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		282	33	11	287	80	-0	+0	-0	-0	+0	-0.0
TOT	22	A+ MLE	STL	—	458	403	91	19	2	16	51	135	4	30	9	226	319	402	721	176	298	29	11	313	98	-1	+2	-0	-3	+10	0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	STL	35%	465	411	86	16	2	12	47	141	4	18	5	209	297	345	642	136	283	30	10	291	83	-9	+2	-1	-3	+10	-0.1
2028	24	MLB MLE	STL	46%	515	453	98	18	2	15	52	152	5	20	6	216	304	364	668	148	285	30	10	301	90	-6	+2	-1	-3	+11	0.3
2029	25	MLB MLE	STL	52%	524	461	102	19	2	17	53	152	5	21	6	221	308	382	690	161	286	29	10	307	94	-4	+2	-1	-3	+11	0.6
2030	26	MLB MLE	STL	54%	534	470	105	19	2	18	54	154	5	21	6	223	310	387	697	164	286	29	10	310	96	-3	+2	-1	-3	+12	0.7
2031	27	MLB MLE	STL	54%	535	470	105	19	2	18	55	154	5	21	6	223	311	387	699	164	286	29	10	310	96	-3	+2	-1	-3	+12	0.7
2032	28	MLB MLE	STL	54%	531	466	103	19	2	17	55	154	5	20	6	221	310	380	690	159	285	29	10	309	95	-3	+2	-1	-3	+12	0.6
2033	29	MLB MLE	STL	53%	522	458	101	19	2	17	54	152	5	18	5	221	309	382	692	162	285	29	10	307	94	-4	+2	-2	-3	+11	0.4
2034	30	MLB MLE	STL	52%	512	449	98	18	2	16	53	151	5	16	5	218	308	374	682	156	283	29	10	304	92	-5	+1	-3	-3	+11	0.2
2035	31	MLB MLE	STL	52%	498	439	93	17	1	15	52	148	4	14	4	212	301	358	659	146	280	30	10	300	89	-6	+1	-4	-3	+11	-0.1
2027	23	MLB CTX	STL	35%	161	143	30	6	1	4	16	49	1	6	2	210	294	350	643	140	282	30	10	280	83	-3	+0	-0	-1	+3	-0.1
2028	24	MLB CTX	STL	46%	238	210	46	9	1	7	24	70	2	9	3	219	305	371	677	152	284	29	10	290	90	-3	+1	-0	-1	+5	0.1
2029	25	MLB CTX	STL	52%	271	240	52	10	1	8	27	78	2	11	3	217	301	367	668	150	285	29	10	295	94	-2	+1	-0	-2	+6	0.3
2030	26	MLB CTX	STL	54%	290	256	56	10	1	9	29	83	3	12	3	219	306	371	677	152	285	29	10	298	96	-1	+1	-0	-2	+6	0.4
2031	27	MLB CTX	STL	54%	290	255	56	10	1	9	30	84	3	12	3	220	309	373	682	153	285	29	10	298	96	-1	+1	-0	-2	+6	0.4
2032	28	MLB CTX	STL	54%	288	253	55	10	1	9	30	83	3	11	3	217	308	372	679	154	284	29	10	297	95	-2	+1	-1	-2	+6	0.3
2033	29	MLB CTX	STL	53%	277	243	53	10	1	8	29	81	3	10	3	218	309	366	675	148	283	29	10	296	94	-2	+1	-1	-2	+6	0.2
2034	30	MLB CTX	STL	52%	268	236	50	9	1	8	28	79	2	8	3	212	301	360	661	148	282	29	10	293	92	-3	+0	-1	-2	+6	0.1
2035	31	MLB CTX	STL	52%	259	228	48	9	1	7	27	77	2	7	2	211	300	351	650	140	279	30	10	289	89	-3	+1	-2	-2	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2342	2064	446	83	9	69	240	684	21	86	25	216	304	365	669	149	286	29	10	294	83	-20	+7	-7	-14	+51	1.7
/ 162G	—	A+C		—	650	573	123	23	2	19	67	190	6	24	7	215	303	361	665	147	284	29	10	294	83	-6	+2	-2	-4	+14	0.5
Career	—	MLE		—	6010	5290	1123	200	25	159	599	1860	63	246	76	212	300	350	650	137	292	31	10	291	83	-43	+14	-14	-28	+101	3.1
/ 162G	—	MLE		—	650	572	122	22	3	17	65	201	7	27	8	213	301	351	653	138	293	31	10	291	83	-6	+2	-2	-4	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.5	2,344	74	86	219	304	376	-14	+0	3.7	3.6
/162	664	21	24	-4.0	+0.0	1.1	pk7: 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
Won-Bin Cho (OGILVIE)	22	30→40	50→55	50	45	204/291/337	133	282	8	16	31%	10%	80	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Parker Meadows 2022 · A	22	36→46	42→55	43→55	40	183/242/280	97	259	10	9	32%	6%	47	-2.5	216/279/367	151	277	16	17	27%	8%	81	-0.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Akil Baddoo 2021 · A	22	41→51	42→50	55	42	196/264/310	113	305	9	14	36%	8%	62	-1.4	239/314/383	144	319	14	21	27%	10%	98	+1.2	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Taylor Trammell 2021 · AA	23	42→46	40→55	51→55	46	203/278/290	87	288	8	17	30%	9%	63	-1.3	213/292/373	160	289	19	15	31%	9%	88	+0.4	203/297/373	170	273	21	23	32%	11%	88	+0.3
✕Roger Bernadina 2006 · A	22	40→50	44→45	54→60	50	202/283/312	110	254	12	20	25%	9%	71	-0.8	236/296/330	94	314	8	26	25%	7%	78	-0.3	261/318/385	124	324	11	31	22%	7%	95	+0.9
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Enmanuel Valdez 2021 · A	22	39→46	42→55	46→45	39	197/249/302	104	270	10	9	30%	6%	55	-2.0	219/276/389	170	272	21	8	27%	7%	86	+0.3	219/282/397	178	265	23	8	27%	7%	88	+0.3
✕Nick Pratto 2021 · A	22	37→45	42→55	49→50	33	179/230/279	100	307	10	13	43%	6%	42	-2.9	200/287/381	181	293	22	9	37%	10%	88	+0.5	194/287/372	178	283	22	7	37%	10%	85	+0.2
✕Bo Naylor 2022 · AA	22	33→43	45→55	54→50	39	176/236/295	119	259	13	11	36%	7%	49	-2.4	212/299/376	164	277	19	13	29%	10%	91	+0.7	213/305/387	174	267	21	12	27%	11%	94	+0.7
✕Adrian Del Castillo 2023 · A	23	35→45	43→55	52→40	41	182/244/292	111	252	10	7	31%	7%	51	-2.2	214/284/360	146	291	16	3	30%	8%	82	-0.0	228/294/410	182	286	22	1	28%	8%	95	+0.6
✕Samad Taylor 2021 · A	23	37→47	41→45	53→65	43	182/258/286	104	274	8	22	34%	8%	55	-1.9	228/299/361	133	324	14	34	32%	8%	87	+0.4	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Sean Bouchard 2019 · A	23	39→44	44→55	48→50	38	198/249/313	115	283	11	13	33%	6%	57	-1.8	206/259/338	132	302	13	10	34%	6%	67	-1.1	223/323/414	192	292	21	16	29%	12%	107	+0.9
●Ryan Schimpf 2011 · A	23	38→41	43→60	52→45	38	188/252/310	122	285	9	10	36%	6%	58	-1.7	196/271/353	157	270	17	6	32%	8%	76	-0.4	202/284/418	216	238	27	2	28%	9%	93	+0.7
✕Mike Daniel 2007 · A	22	39→49	41→45	48→50	43	192/259/288	96	277	9	11	33%	8%	55	-1.9	233/284/344	111	314	10	14	28%	6%	77	-0.3	237/287/345	108	313	10	15	26%	6%	76	-0.4
✕Livan Soto 2022 · AA	22	36→46	40	50	42	182/238/271	89	250	7	11	30%	6%	43	-2.8	225/293/312	87	303	7	9	26%	8%	74	-0.6	234/307/314	80	309	6	8	24%	9%	77	-0.3
✕Brian Pointer 2014 · A	22	38→41	42→45	51→50	40	186/261/292	106	285	9	13	36%	7%	58	-1.7	207/280/332	125	310	12	12	35%	8%	74	-0.5	204/280/338	134	302	14	12	35%	8%	72	-0.5
●Trent Grisham 2019 · AA	22	41→49	40→60	53→55	49	194/281/283	90	284	7	17	32%	11%	63	-1.3	233/317/403	170	288	19	14	25%	10%	103	+1.6	240/327/432	192	284	22	14	23%	10%	111	+1.7
✕Daniel Schneemann 2019 · A	22	38→48	40→50	50	43	185/251/280	94	271	8	6	33%	8%	51	-2.3	211/270/297	86	293	7	9	28%	7%	61	-1.5	223/303/368	144	295	14	13	28%	10%	87	+0.3
✕DJ Stewart 2017 · A	23	45→48	42→55	51→50	48	215/293/325	110	294	9	16	28%	9%	77	-0.3	225/297/366	141	277	15	14	24%	8%	88	+0.5	208/314/396	188	250	26	2	28%	11%	99	+0.6
✕Michael A. Taylor 2013 · A	22	39→49	41→55	49→60	36	192/239/293	101	289	7	15	35%	5%	49	-2.4	216/271/342	126	324	12	25	35%	6%	72	-0.7	240/298/383	143	310	19	14	28%	7%	90	+0.5
✕Chris Meyers 2022 · A	23	40→45	41→50	51→40	45	197/267/298	101	259	8	11	26%	7%	61	-1.5	220/278/357	137	292	15	6	29%	6%	79	-0.2	222/283/366	144	287	17	3	28%	6%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps