Ji Hwan Bae

CF Nashville Sounds

Age 28 L/R 5'11" / 185 lbs AAA HR +10%K +6% Svc 1.106 · Ctrl thru 2031

Overview

AAAPre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	25	AAAPIT	293	.341/.436/.504	7	14	120	—	.296/.367/.423
2024	25	MLBPIT	81	.189/.250/.216	0	6	33	-0.5
2025	26	AAA/APIT	324	.292/.382/.420	1	23	87	—	.254/.317/.360
2025	26	MLBPIT	25	.050/.240/.050	0	4	5	-0.6
2026	27	AAAMIL	374	.261/.365/.381	6	36	78	—	.232/.311/.322
2027PROJ10% MLB	28	MLBMIL	24	.221/.297/.322	0	2	78	0.0
2028PROJ33% MLB	29	MLBMIL	89	.218/.294/.316	1	6	76	-0.0
2029PROJ46% MLB	30	MLBMIL	125	.215/.291/.309	2	7	73	-0.1

Last 3 seasons WAR -1.1 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.106First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$0.2M2030Ext$1M2031Ext$2M

Skills · percentileStatcast 2023-2025

Speed79

Avg EV35

Barrel%21

Bat Spd18

xwOBA16

CompsTyler Wade (age 29) · Billy Hamilton (age 28) · Mallex Smith (age 28)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†78

AVG/OBP/SLG.221 / .297 / .322

PA24

HR0

K%25

BB%8

BABIP285

ISO45

MLB%10%

Value2027 · WAR

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

Tools · ContractCON 60 / POW 40

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT60

xAVG

100.213

POWER40

Barrel%

214.5

Avg EV

3588.0

Bat Spd

1867.9

EYE50

scouting grade only

SPEED60

Sprint

7928.6

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

Status Pre-Arb

MLB Debut 2022

Service 1.106 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.0	$0.1M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	—	—	—
2029	Arb-1	$0.2M	—	—	—
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.2M	+$0.0M

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. 2027 = full-season projection (no games played yet). 2028+ 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)
2018	19	ROK	GCL Pirates	—	152	129	35	6	2	0	15	16	5	10	4	271	369	349	718	78	302	11	10	326	60	—	—	—	—	—	—
2019	20	A	Greensboro Grasshoppers	—	380	328	106	25	5	0	43	77	3	31	11	323	406	430	836	107	417	20	11	371	81	—	—	—	—	—	—
2019	20	INTL	Geelong-Korea	—	77	64	19	5	0	2	12	14	1	6	0	297	416	469	884	172	354	18	16	397	155	—	—	—	—	—	—
2021	22	AA	Altoona Curve	—	365	320	89	12	5	7	38	83	4	20	8	278	362	412	774	134	352	23	10	346	86	—	—	—	—	—	—
2021	22	INTL	Peoria Javelinas	—	109	92	23	4	1	2	13	21	1	8	1	250	346	380	726	130	296	19	12	323	105	—	—	—	—	—	—
2022	23	MLB	Pittsburgh Pirates	—	37	33	11	3	0	0	2	6	2	3	0	333	405	424	830	91	407	16	5	377	139	+2	+1	-1	+2	+1	0.4
2022	23	AAA	Indianapolis Indians	—	473	419	121	23	6	8	48	80	2	30	8	289	365	430	794	141	338	17	10	353	88	—	—	—	—	—	—
2023	24	MLB	Pittsburgh Pirates	—	371	334	77	17	2	2	30	92	2	24	9	231	298	311	609	81	310	25	8	276	72	-12	+1	-0	+1	+8	-0.2
2023	24	AAA	Indianapolis Indians	—	39	32	11	3	0	1	7	10	0	2	0	344	462	531	993	188	476	26	18	440	124	—	—	—	—	—	—
2024	25	MLB	Pittsburgh Pirates	—	81	74	14	2	0	0	6	24	0	6	2	189	250	216	466	27	275	30	7	217	33	-6	+0	-2	+1	+2	-0.5
2024	25	AAA	Indianapolis Indians	—	293	246	84	11	4	7	41	63	1	14	3	341	436	504	940	163	430	22	14	412	120	—	—	—	—	—	—
2025	26	MLB	Pittsburgh Pirates	—	25	20	1	0	0	0	5	9	0	4	1	50	240	50	290		91	36	20	176	5	-3	+0	-0	-4	+1	-0.6
2025	26	AAA	Indianapolis Indians	—	305	264	77	18	7	1	34	61	5	23	4	292	383	424	807	133	373	20	11	361	90	—	—	—	—	—	—
2025	26	A	Bradenton Marauders	—	19	17	5	1	0	0	2	6	0	0	0	294	368	353	721	59	455	32	11	332	42	—	—	—	—	—	—
2026	27	AAA	Nashville Sounds	—	374	318	83	14	3	6	47	76	5	36	6	261	365	381	745	119	324	20	13	337	78	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	514	461	103	22	2	2	43	131	4	37	12	223	295	293	588	69	305	25	8	269	68	-19	+3	-3	+1	+11	-0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	19	ROK MLE	GCL Pirates	—	152	136	31	5	2	0	8	23	5	10	4	228	295	294	589	66	253	15	5	257	60	—	—	—	—	—	—
2019	20	A MLE	Greensboro Grasshoppers	—	380	341	86	21	5	0	30	105	3	31	11	252	318	343	661	91	348	28	8	288	81	—	—	—	—	—	—
2021	22	AA MLE	Altoona Curve	—	365	331	82	11	4	6	27	102	4	20	8	248	312	360	672	112	332	28	7	296	86	—	—	—	—	—	—
2022	23	MLB MLE	Pittsburgh Pirates	—	37	33	11	3	0	0	2	6	2	3	0	333	405	424	830	91	407	16	5	374	139	+2	+1	-1	+2	+1	0.4
2022	23	AAA MLE	Indianapolis Indians	—	473	435	111	21	7	6	32	98	2	30	8	255	309	377	686	122	311	21	7	299	88	—	—	—	—	—	—
2023	24	MLB MLE	Pittsburgh Pirates	—	371	334	76	16	2	2	30	92	2	24	9	228	295	305	600	78	310	25	8	275	72	-12	+1	-0	+1	+8	-0.2
2023	24	AAA MLE	Indianapolis Indians	—	39	34	11	3	0	1	5	12	0	2	0	324	410	500	910	176	439	31	13	352	124	—	—	—	—	—	—
2024	25	MLB MLE	Pittsburgh Pirates	—	81	74	14	2	0	0	6	24	0	6	2	189	250	216	466	27	275	30	7	217	33	-6	+0	-2	+1	+2	-0.5
2024	25	AAA MLE	Indianapolis Indians	—	293	260	77	9	3	6	28	80	1	14	3	296	367	423	790	127	392	27	10	346	120	—	—	—	—	—	—
2025	26	MLB MLE	Pittsburgh Pirates	—	25	20	1	0	0	0	5	9	0	4	1	50	240	50	290		91	36	20	176	5	-3	+0	-0	-4	+1	-0.6
2025	26	AAA MLE	Indianapolis Indians	—	305	277	71	15	6	1	21	76	5	23	4	256	320	365	685	108	343	25	7	301	90	—	—	—	—	—	—
2025	26	A MLE	Bradenton Marauders	—	19	18	4	1	0	0	1	8	0	0	0	222	263	278	541	56	390	42	5	231	42	—	—	—	—	—	—
2026	27	AAA MLE	Nashville Sounds	—	374	332	77	12	3	4	33	91	5	36	6	232	311	322	633	90	302	24	9	284	78	—	—	—	—	—	—
2018	19	ROK MLE	GCL Pirates	—	152	136	31	5	2	0	8	23	5	10	4	228	295	294	589	66	267	15	5	257	60	—	—	—	—	—	—
2018	19	ROK RAW	GCL Pirates	—	152	129	35	6	2	0	15	16	5	10	4	271	369	349	718	78	302	11	10	326	60	—	—	—	—	—	—
2019	20	A MLE	2 teams	—	457	411	104	26	6	0	36	126	4	37	11	253	319	345	665	92	361	28	8	288	81	—	—	—	—	—	—
2019	20	A RAW	2 teams	—	457	392	125	30	5	2	55	91	4	37	11	319	408	436	844	117	407	20	12	376	81	—	—	—	—	—	—
2021	22	AA MLE	2 teams	—	474	429	107	15	5	8	35	133	5	28	9	249	313	364	677	114	338	28	7	296	86	—	—	—	—	—	—
2021	22	AA RAW	2 teams	—	474	412	112	16	6	9	51	104	5	28	9	272	358	405	764	133	339	22	11	341	86	—	—	—	—	—	—
2022	23	AAA MLE	2 teams	—	510	468	122	24	7	6	34	104	4	33	8	261	316	380	697	120	321	20	7	304	92	—	—	—	—	—	—
2022	23	AAA RAW	2 teams	—	510	452	132	26	6	8	50	86	4	33	8	292	368	429	797	137	343	17	10	355	92	—	—	—	—	—	—
2023	24	MLB MLE	2 teams	—	410	368	87	19	2	3	35	104	2	26	9	236	306	323	630	87	319	25	9	282	77	-11	+2	-0	+1	+9	0.0
2023	24	MLB RAW	2 teams	—	410	366	88	20	2	3	37	102	2	26	9	240	314	331	644	90	323	25	9	291	77	-11	+2	-0	+1	+9	0.0
2024	25	AAA MLE	2 teams	—	374	334	91	11	3	6	34	104	1	20	5	272	341	377	719	105	373	28	9	318	101	—	—	—	—	—	—
2024	25	AAA RAW	2 teams	—	374	320	98	13	4	7	47	87	1	20	5	306	396	438	833	131	396	23	13	370	101	—	—	—	—	—	—
2025	26	AAA MLE	3 teams	—	349	314	76	16	6	1	28	93	5	27	5	242	314	341	655	99	338	27	8	288	81	—	—	—	—	—	—
2025	26	AAA RAW	3 teams	—	349	301	83	19	7	1	41	76	5	27	5	276	372	395	767	120	363	22	12	346	81	—	—	—	—	—	—
2026	27	AAA MLE	Nashville Sounds	—	374	332	77	12	3	4	33	91	5	36	6	232	311	322	633	90	305	24	9	284	78	—	—	—	—	—	—
2026	27	AAA RAW	Nashville Sounds	—	374	318	83	14	3	6	47	76	5	36	6	261	365	381	745	119	324	20	13	337	78	—	—	—	—	—	—
2018	19	ROK MLE	GCL Pirates	—	152	138	31	5	2	0	8	23	5	10	4	225	295	290	585	65	253	15	5	257	60	—	—	—	—	—	—
2019	20	A MLE	2 teams	—	457	414	104	26	6	0	36	126	4	37	11	251	319	343	662	92	348	28	8	288	81	—	—	—	—	—	—
2021	22	AA MLE	2 teams	—	474	431	107	15	5	8	35	133	5	28	9	248	313	362	675	114	332	28	7	296	86	—	—	—	—	—	—
2022	23	AAA MLE	2 teams	—	510	467	122	24	7	6	34	104	4	33	8	261	316	381	697	120	318	20	7	304	92	—	—	—	—	—	—
2023	24	MLB MLE	2 teams	—	410	370	87	19	2	3	35	104	2	26	9	235	306	322	628	86	322	25	9	282	77	—	—	—	—	—	—
2024	25	AAA MLE	2 teams	—	374	336	91	11	3	6	34	104	1	20	5	271	341	375	716	104	367	28	9	318	101	—	—	—	—	—	—
2025	26	AAA MLE	3 teams	—	349	313	76	16	6	1	28	93	5	27	5	243	314	342	656	99	328	27	8	288	81	—	—	—	—	—	—
2026	27	AAA MLE	Nashville Sounds	—	374	333	77	12	3	4	33	91	5	36	6	231	311	321	632	90	302	24	9	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	25	AAA MLE	2 teams	—	374	336	91	11	3	6	34	104	1	20	5	271	341	375	716	104	367	28	9	318	101	—	—	—	—	—	—
2025	26	AAA MLE	3 teams	—	349	313	76	16	6	1	28	93	5	27	5	243	314	342	656	99	328	27	8	288	81	—	—	—	—	—	—
2026	27	AAA MLE	Nashville Sounds	—	374	333	77	12	3	4	33	91	5	36	6	231	311	321	632	90	302	24	9	284	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	28	MLB MLE	MIL	10%	380	340	76	13	3	5	33	93	4	27	5	223	299	326	625	102	290	24	9	284	78	-10	+3	-1	+1	+8	0.3
▸ 2027 — real world (MLB)
2027	28	MLB CTX	MIL	10%	24	22	4	1	0	0	2	6	0	2	0	221	297	322	619	102	285	25	8	282	78	-1	+0	-0	+0	+1	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	29	MLB MLE	MIL	33%	272	244	53	9	2	3	23	68	3	17	3	221	297	320	616	99	288	25	8	280	76	-8	+2	-2	+1	+6	-0.1
2029	30	MLB MLE	MIL	46%	272	244	53	9	2	3	23	69	3	15	3	218	293	312	605	94	287	25	8	276	73	-9	+2	-3	+1	+6	-0.3
2028	29	MLB CTX	MIL	33%	89	80	18	3	1	1	8	22	1	6	1	218	294	316	611	98	284	25	9	278	76	-3	+1	-1	+0	+2	-0.0
2029	30	MLB CTX	MIL	46%	125	112	25	4	1	2	11	32	1	7	1	215	291	309	599	93	282	26	9	273	73	-4	+1	-1	+0	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	728	653	146	29	4	5	62	185	6	50	14	224	297	303	600	80	302	25	9	271	83	-26	+4	-5	+2	+16	-0.9
/ 162G	—	A+C		—	650	583	130	26	4	4	55	165	5	45	12	223	295	302	597	79	301	25	8	271	83	-23	+4	-4	+1	+14	-0.8
Career	—	MLE		—	3882	3493	848	154	40	37	309	974	40	266	66	243	312	342	653	99	323	25	8	290	83	-42	+9	-8	+4	+28	-1.0
/ 162G	—	MLE		—	650	585	142	26	7	6	52	163	7	45	11	243	313	342	654	99	323	25	8	290	83	-21	+4	-4	+2	+14	-0.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAANashville Sounds · 374 PAwOBA .331 → .284 (−47)K% 20.3% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.32%	÷1.000	×1.200	—	—	24.39%
BB% (unintentional) /PA	12.57%	÷1.000	×0.690	—	×1.003	8.70%
HBP% /PA	1.34%	—	×0.940	—	×1.003	1.26%
Singles /BIP	24.79%	÷1.000	×0.930	×1.025	×1.003	23.70%
Doubles /BIP	5.79%	÷1.000	×0.830	×1.025	×1.003	4.94%
Triples /BIP	1.24%	÷1.000	×0.970	×1.025	×1.003	1.24%
Home runs /BIP	2.48%	÷1.000	×0.700	—	×1.003	1.74%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .331 → .284; ISO .119 → .098; BABIP .324 → .302. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAAIndianapolis Indians · 305 PAwOBA .354 → .301 (−53)K% 20.0% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.965	×1.200	—	—	24.87%
BB% (unintentional) /PA	11.15%	÷1.112	×0.690	—	×1.018	7.04%
HBP% /PA	1.64%	—	×0.940	—	×1.018	1.57%
Singles /BIP	25.12%	÷1.008	×0.930	×1.013	×1.018	23.91%
Doubles /BIP	8.87%	÷0.995	×0.830	×1.013	×1.018	7.62%
Triples /BIP	3.45%	÷1.150	×0.970	×1.013	×1.018	3.00%
Home runs /BIP	0.49%	÷0.915	×0.700	—	×1.018	0.38%

Factors used: league row International League. Park (home-season share, regressed): HR 83, 1B 102, 2B 99, 3B 130, K 93, BB 122 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .354 → .301; ISO .133 → .114; BABIP .373 → .343. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ABradenton Marauders · 19 PAwOBA .323 → .231 (−92)K% 31.6% → 43.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.58%	÷1.000	×1.360	—	—	42.95%
BB% (unintentional) /PA	10.53%	÷1.052	×0.690	—	×0.960	6.63%
HBP% /PA	0.00%	—	×0.780	—	×0.960	0.00%
Singles /BIP	36.36%	÷0.993	×0.920	—	×0.960	32.33%
Doubles /BIP	9.09%	÷1.084	×0.830	—	×0.960	6.68%
Triples /BIP	0.00%	÷0.952	×0.910	—	×0.960	0.00%
Home runs /BIP	0.00%	÷0.932	×0.800	—	×0.960	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 99, 2B 117, 3B 90, K 100, BB 110 — applied at half strength. Age: age 26 vs a level average of 22.0 → −4.0% on BB/HBP/hit rates (4.0 yr older than average).

Result: wOBA .323 → .231; ISO .059 → .038; BABIP .455 → .390. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AAAIndianapolis Indians · 293 PAwOBA .403 → .346 (−57)K% 21.5% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.50%	÷0.948	×1.200	—	—	27.23%
BB% (unintentional) /PA	13.31%	÷0.977	×0.690	—	×1.033	9.71%
HBP% /PA	0.34%	—	×0.940	—	×1.033	0.33%
Singles /BIP	33.88%	÷1.009	×0.930	×0.988	×1.033	31.90%
Doubles /BIP	6.01%	÷1.050	×0.830	×0.988	×1.033	4.85%
Triples /BIP	2.19%	÷1.150	×0.970	×0.988	×1.033	1.88%
Home runs /BIP	3.83%	÷0.909	×0.700	—	×1.033	3.04%

Factors used: league row International League. Park (home-season share, regressed): HR 82, 1B 102, 2B 110, 3B 130, K 90, BB 95 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .403 → .346; ISO .163 → .133; BABIP .430 → .392. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAAIndianapolis Indians · 39 PAwOBA .429 → .352 (−77)K% 25.6% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.64%	÷0.967	×1.200	—	—	31.83%
BB% (unintentional) /PA	17.95%	÷1.056	×0.690	—	×1.048	12.30%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	31.82%	÷1.004	×0.930	—	×1.048	30.90%
Doubles /BIP	13.64%	÷1.013	×0.830	—	×1.048	11.71%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.048	0.00%
Home runs /BIP	4.55%	÷1.095	×0.700	—	×1.048	3.05%

Factors used: league row International League. Park (home-season share, regressed): HR 119, 1B 101, 2B 103, 3B 130, K 93, BB 111 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .429 → .352; ISO .188 → .142; BABIP .476 → .439. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAAIndianapolis Indians · 473 PAwOBA .345 → .299 (−46)K% 16.9% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.91%	÷0.982	×1.200	—	—	20.68%
BB% (unintentional) /PA	9.94%	÷1.058	×0.690	—	×1.050	6.80%
HBP% /PA	0.42%	—	×0.940	—	×1.050	0.42%
Singles /BIP	24.78%	÷1.087	×0.930	×1.017	×1.050	22.64%
Doubles /BIP	6.78%	÷0.964	×0.830	×1.017	×1.050	6.24%
Triples /BIP	1.77%	÷0.942	×0.970	×1.017	×1.050	1.95%
Home runs /BIP	2.36%	÷1.013	×0.700	—	×1.050	1.71%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 117, 2B 93, 3B 88, K 96, BB 112 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .345 → .299; ISO .141 → .124; BABIP .338 → .311. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAAltoona Curve · 365 PAwOBA .340 → .296 (−45)K% 22.7% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.74%	÷0.992	×1.220	—	—	27.96%
BB% (unintentional) /PA	10.41%	÷1.014	×0.690	—	×1.042	7.38%
HBP% /PA	1.10%	—	×0.850	—	×1.042	0.97%
Singles /BIP	27.43%	÷1.042	×0.940	×1.012	×1.042	26.08%
Doubles /BIP	5.06%	÷0.948	×0.870	×1.012	×1.042	4.90%
Triples /BIP	2.11%	÷1.150	×0.920	×1.012	×1.042	1.78%
Home runs /BIP	2.95%	÷0.947	×0.780	—	×1.042	2.54%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 108, 2B 90, 3B 130, K 98, BB 103 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .340 → .296; ISO .134 → .117; BABIP .352 → .332. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AGreensboro Grasshoppers · 380 PAwOBA .365 → .288 (−77)K% 20.3% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.26%	÷0.983	×1.340	—	—	27.61%
BB% (unintentional) /PA	11.32%	÷0.990	×0.660	—	×1.030	7.77%
HBP% /PA	0.79%	—	×0.770	—	×1.030	0.63%
Singles /BIP	30.28%	÷1.113	×0.920	×0.950	×1.030	24.49%
Doubles /BIP	9.96%	÷0.914	×0.820	×0.950	×1.030	8.74%
Triples /BIP	1.99%	÷0.900	×0.940	×0.950	×1.030	2.04%
Home runs /BIP	0.00%	÷1.009	×0.820	—	×1.030	0.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 102, 1B 123, 2B 83, 3B 80, K 97, BB 98 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .365 → .288; ISO .107 → .095; BABIP .417 → .348. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#2Travis Jankowskilast yr '25 career totals — 9 seasons, 1,718 PA	2.6	1,718	11	100	238	321	309	-9	+11	2.1	2.5
/162	664	4	39	-3.6	+4.2	0.8	pk7: 3
#3Milt Cuyler'90-'98 * career totals — 7 seasons, 1,567 PA	2.4	1,567	10	77	233*	299*	338*	+1	+4	0.6	0.9
/162	664	4	33	+0.6	+1.9	0.3	pk7: 1
#4Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#5Herm Winningham'84-'92 * career totals — 8 seasons, 2,069 PA	3.1	2,069	19	105	238*	296*	357*	+1	-3	-0.5	0.2
/162	664	6	34	+0.3	-1.1	-0.2	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.0	689	5	44	222	288	302	+2	-4	-0.1	-0.1
/162	664	5	43	+2.4	-3.6	-0.1	pk7: -0
#6Joe Simpson'75-'83 * career totals — 5 seasons, 1,531 PA	2.3	1,531	9	45	237*	289*	336*	-9	+2	-2.3	-1.8
/162	664	4	20	-4.0	+1.1	-1.0	pk7: -1

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 Hwan Bae (OGILVIE)	28	60	40	60	50	221/297/323	101	290	3	17	25%	9%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler Wade 2024 · MLB	29	49→58	39→45	61→60	47	234/299/321	87	306	7	42	25%	8%	78	-0.3	224/293/294	70	295	5	29	24%	8%	70	-0.9	213/289/252	39	283	1	26	23%	9%	58	-0.6
✕Billy Hamilton 2019 · MLB	28	51→61	39→40	67→70	48	241/300/333	92	307	5	44	22%	8%	80	-0.2	221/280/315	94	297	6	34	26%	8%	69	-0.9	158/208/235	77	253	4	47	37%	6%	22	-1.0
✕Mallex Smith 2021 · MLB	28	51→61	41→45	65	48	242/308/351	110	307	7	40	22%	8%	88	+0.4	218/292/319	101	302	9	31	29%	9%	75	-0.5	197/280/280	83	292	10	40	33%	10%	58	-0.3
✕Quintin Berry 2013 · MLB	28	51→61	38→40	63→65	46	237/307/320	83	323	5	38	26%	8%	80	-0.1	220/290/291	71	297	5	34	25%	8%	68	-1.0	221/288/272	51	300	3	37	25%	8%	60	-1.2
✕Jerry Owens 2009 · MLB	28	55→65	36→40	57→65	48	257/307/315	58	306	4	39	17%	6%	78	-0.3	251/305/328	77	298	5	26	16%	7%	80	-0.1	276/326/337	61	321	2	24	14%	7%	88	+0.2
✕Todd Donovan 2007 · AAA	28	50→52	39→40	63→65	45	238/292/325	87	288	6	42	19%	6%	76	-0.4	230/294/306	76	290	4	37	20%	8%	72	-0.7	225/302/289	64	290	2	42	21%	10%	69	-0.6
✕Ezequiel Carrera 2015 · MLB	28	54→64	40→45	63→60	46	258/307/357	100	313	7	41	20%	6%	88	+0.5	254/314/358	104	315	10	22	21%	7%	92	+0.7	256/323/359	102	320	11	15	22%	8%	95	+0.5
✕Jarrod Dyson 2013 · MLB	28	54→57	37→45	68→70	50	253/309/328	76	305	3	47	18%	7%	82	+0.0	246/305/333	87	301	5	57	18%	7%	82	-0.0	254/319/358	104	292	5	53	14%	7%	94	+0.5
✕Darren Ford 2014 · MLB	28	46→53	39→45	58→65	42	222/271/306	84	294	6	41	26%	6%	63	-1.4	220/269/299	79	291	7	37	25%	6%	61	-1.5	216/266/283	68	282	6	37	24%	6%	53	-1.4
✕Tony Campana 2014 · MLB	28	54→64	35→30	66→70	44	249/298/308	59	331	3	50	25%	7%	73	-0.6	228/273/287	59	292	2	26	21%	5%	59	-1.7	231/266/285	54	284	1	24	18%	4%	52	-1.5
✕Forrest Wall 2024 · MLB	28	51→55	41→45	69→70	44	239/301/343	105	333	7	54	29%	7%	83	+0.1	244/312/344	100	338	8	38	28%	8%	88	+0.4	245/318/331	86	342	7	38	28%	8%	84	+0.1
✕Darin Mastroianni 2013 · MLB	27	52→60	38→40	63→60	49	245/306/332	87	305	5	37	20%	8%	82	-0.0	222/278/299	77	284	5	28	22%	6%	64	-1.3	212/263/277	65	270	4	25	22%	5%	51	-1.4
✕Freddy Guzman 2008 · AAA	27	51→61	38→45	63→70	50	240/302/320	80	290	4	42	18%	8%	78	-0.3	233/281/324	91	272	5	49	15%	6%	70	-0.8	267/319/375	107	317	7	77	17%	7%	93	+0.5
✕Tyler Graham 2012 · AAA	28	55→54	37→40	63→65	42	260/307/333	73	329	4	48	22%	5%	82	+0.0	230/286/306	76	291	5	35	21%	6%	70	-0.9	213/262/267	54	262	3	33	19%	5%	48	-1.2
●Michael Bourn 2009 · MLB	26	50→60	39→45	66→65	48	239/297/326	87	297	7	43	21%	7%	77	-0.3	266/329/357	91	336	4	47	20%	8%	96	+1.0	273/334/374	101	348	5	38	21%	8%	103	+1.7
✕Emilio Bonifácio 2014 · MLB	29	54→64	39→40	62→65	49	254/313/344	91	320	5	38	22%	8%	87	+0.4	248/293/327	79	312	5	31	21%	6%	76	-0.4	252/293/313	61	314	3	35	20%	5%	71	-0.5
✕Nyjer Morgan 2008 · MLB	28	57→63	36→45	63→65	44	267/318/341	74	326	3	42	18%	5%	88	+0.5	273/326/349	76	327	3	43	16%	6%	93	+0.8	277/338/360	83	328	3	35	15%	6%	101	+1.2
✕Ian Miller 2019 · AAA	27	53→59	36→40	61→60	43	248/294/315	67	315	3	34	22%	5%	74	-0.6	228/281/329	101	285	8	28	22%	6%	72	-0.7	222/276/324	102	274	8	30	21%	6%	68	-0.8
✕Rich Thompson 2007 · AAA	28	52→57	39→45	62→65	47	246/311/340	93	297	5	34	18%	6%	86	+0.3	245/300/341	96	300	5	25	19%	6%	82	-0.0	253/301/350	97	307	4	44	18%	4%	81	-0.0
✕Delino DeShields 2020 · MLB	27	49→56	40→45	58→65	52	231/310/323	91	299	7	32	24%	10%	82	+0.0	221/306/306	85	303	6	28	26%	10%	77	-0.3	203/300/264	60	295	3	32	28%	11%	64	-0.7

Ji Hwan Bae

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps