Sung-Mun Song

3B San Diego Padres

Age 30 L/R 6'0" / 194 lbs MLB HR +5% Svc 0.953 · Ctrl thru 2032

Overview

MLB40-MANExtFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	29	AAASD	125	.265/.336/.319	1	1	51	—	.222/.272/.265
2026	29	MLBSD	154	.191/.293/.244	1	13	55	-0.3
2027PROJ	30	MLBSD	155	.186/.266/.245	1	6	50	-0.5
2028PROJ65% MLB	31	MLBSD	133	.184/.264/.243	1	4	48	-0.6

Last 1 season WAR -0.3 · Next 2 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.953First FA2033Options3

2027Ext$4M2028Ext$4M2029Ext$4M2030Ext$0.2M2031Ext$0.4M2032Ext$0.6M

Skills · percentileStatcast 2026

Speed43

Avg EV26

Barrel%16

xwOBA10

CompsJonathan Diaz (age 30) · Peter Mooney (age 30) · Zach Remillard (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†50

AVG/OBP/SLG.186 / .266 / .245

PA155

HR1

SB6

K%23

BB%10

BABIP239

ISO50

MLB%100%

Value2027 · WAR

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

Tools · ContractCON 47 / POW 40

Toolsscout grade · Statcast %ile · 2026

CONTACT47

xAVG

100.183

POWER40

Barrel%

163.8

Avg EV

2687.3

EYE80

scouting grade only

SPEED52

Sprint

4327.2

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

Status Pre-Arb

MLB Debut 2026

Service 0.953 yrs.days

Team Control Through 2032

First FA Year 2033

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$4M	—	—	—
2028	Ext	$4M	—	—	—
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
Totals		$8M		$-4M	-$11M

Options · projected decision
2030	MUTUAL OPT	$0.6M / $0.0M buyout	DECLINE
2031	PLAYER OPT	$4.0M / $1.0M buyout	EXERCISE
2032	MUTUAL OPT	$7.0M / $1.0M buyout	DECLINE

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)
2026	29	MLB	San Diego Padres	—	154	131	25	4	0	1	19	31	0	13	4	191	293	244	538	53	240	20	12	250	55	-8	+1	+0	+1	+3	-0.3
2026	29	AAA	El Paso Chihuahuas	—	125	113	30	3	0	1	12	29	0	1	1	265	336	319	655	53	349	23	10	303	51	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	154	131	25	4	0	1	19	31	0	13	4	191	293	244	538	53	240	20	12	250	56	-8	+1	+0	+1	+3	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	29	MLB MLE	San Diego Padres	—	154	132	25	4	0	1	18	31	0	13	4	189	287	242	529	53	240	20	12	249	55	-8	+1	+0	+1	+3	-0.3
2026	29	AAA MLE	El Paso Chihuahuas	—	125	117	26	2	0	1	8	35	0	1	1	222	272	265	537	43	316	28	6	243	51	—	—	—	—	—	—
2026	29	MLB MLE	2 teams	—	279	249	52	7	0	2	26	66	0	14	5	209	284	261	545	52	275	24	9	246	53	-16	+1	+0	+1	+6	-0.8
2026	29	MLB RAW	2 teams	—	279	244	55	7	0	2	31	60	0	14	5	225	313	279	591	53	290	22	11	274	53	-16	+1	+0	+1	+6	-0.8
2026	29	MLB MLE	2 teams	—	279	251	52	7	0	2	26	66	0	14	5	207	284	259	543	52	274	24	9	246	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	29	MLB MLE	2 teams	—	279	251	52	7	0	2	26	66	0	14	5	207	284	259	543	52	274	24	9	246	53	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	SD	100%	329	293	56	9	1	3	32	76	1	13	3	189	269	249	518	61	243	23	10	242	50	-20	+1	+0	+1	+7	-0.4
▸ 2027 — real world (MLB)
2027	30	MLB CTX	SD	100%	155	139	25	4	0	1	15	36	0	6	2	186	266	245	511	59	239	23	10	239	50	-9	+0	+0	+1	+3	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	SD	65%	204	183	34	5	0	2	19	48	0	6	2	187	266	247	513	60	242	24	9	240	48	-13	+0	-3	+1	+4	-1.0
2028	31	MLB CTX	SD	65%	133	119	21	3	0	1	13	31	0	4	1	184	264	243	507	59	238	23	10	237	48	-8	+0	-2	+0	+3	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	287	250	46	7	0	2	32	62	0	17	5	184	277	236	513	52	234	22	11	244	51	-16	+1	-2	+1	+6	-0.9
/ 162G	—	A+C		—	650	566	105	16	0	5	72	140	0	39	11	186	277	240	518	55	235	22	11	244	51	-37	+3	-4	+3	+14	-2.1
Career	—	MLE		—	638	571	111	16	0	5	60	150	0	26	9	194	271	249	520	54	253	24	9	243	51	-30	+2	-3	+2	+11	-1.8
/ 162G	—	MLE		—	650	582	113	16	0	5	61	153	0	26	9	194	271	247	518	53	253	24	9	243	51	-38	+2	-4	+3	+14	-2.3

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 AAAEl Paso Chihuahuas · 125 PAwOBA .295 → .243 (−52)K% 23.2% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.20%	÷1.000	×1.200	—	—	27.84%
BB% (unintentional) /PA	9.60%	÷1.000	×0.690	—	×0.972	6.44%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	30.95%	÷1.000	×0.930	×1.015	×0.972	28.41%
Doubles /BIP	3.57%	÷1.000	×0.830	×1.015	×0.972	2.93%
Triples /BIP	0.00%	÷1.000	×0.970	×1.015	×0.972	0.00%
Home runs /BIP	1.19%	÷1.000	×0.700	—	×0.972	0.81%

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 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .295 → .243; ISO .053 → .039; BABIP .349 → .316. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#2Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
#3Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	0.7	442	3	23	188	272	246	+2	+2	-1.1	-0.6
/162	664	5	34	+2.4	+2.3	-1.6	pk7: -0
#4Hector Torres'68-'77 * career totals — 9 seasons, 1,889 PA	2.8	1,889	18	7	215*	262*	312*	+16	+3	-2.1	-0.9
/162	664	6	2	+5.7	+1.2	-0.7	pk7: 0
#5Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1
#6Jim Mason'71-'79 * career totals — 8 seasons, 1,756 PA	2.6	1,756	12	2	204*	262*	306*	+18	-14	-4.1	-2.9
/162	664	5	1	+6.7	-5.3	-1.6	pk7: -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
Sung-Mun Song (OGILVIE)	30	47	40	52	80	187/267/247	60	243	1	6	23%	10%	50	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonathan Diaz 2015 · MLB	30	44→48	36→30	48→50	50	208/284/276	68	258	3	12	20%	8%	62	-1.4	201/276/264	63	251	4	8	20%	8%	57	-1.8	191/272/239	49	239	3	6	20%	9%	47	-1.5
✕Peter Mooney 2021 · AAA	30	45→50	42→40	48→45	49	217/281/324	106	261	9	10	20%	8%	72	-0.7	199/259/298	99	261	10	10	26%	7%	57	-1.8	128/186/170	42	167	5	3	27%	7%	-2	-1.5
✕Zach Remillard 2024 · MLB	30	45→49	40	52→55	44	218/282/303	86	291	7	20	27%	7%	68	-1.0	200/261/295	95	269	8	14	27%	7%	58	-1.7	132/192/197	65	179	6	8	29%	6%	9	-1.9
✕Juan Ciriaco 2014 · AAA	30	42→48	41→45	53→50	45	207/256/301	95	246	9	14	20%	6%	57	-1.8	217/253/313	96	257	9	20	19%	4%	58	-1.7	215/245/302	87	255	7	23	19%	4%	51	-0.8
✕Skyler Stromsmoe 2015 · AAA	31	45	36→40	47→50	51	209/290/278	68	260	3	13	19%	8%	65	-1.2	216/290/297	81	269	4	12	20%	8%	70	-0.9	206/281/265	59	254	0	8	17%	7%	55	-0.5
✕Jermaine Clark 2006 · MLB	29	44→42	42→45	51→60	54	213/288/321	108	240	9	20	16%	9%	74	-0.6	213/275/304	91	263	8	28	21%	8%	65	-1.2	199/260/263	65	250	5	39	22%	7%	49	-1.7
✕Pete Kozma 2017 · MLB	29	40→47	36→45	46→50	44	193/245/256	63	241	4	12	21%	6%	42	-2.9	193/243/278	85	243	6	9	22%	5%	47	-2.6	188/235/276	88	231	6	6	21%	5%	41	-2.0
✕Anderson Machado 2010 · AAA	29	39→44	39→40	53→45	50	188/269/274	87	254	6	14	27%	10%	56	-1.9	205/273/292	87	282	5	7	27%	8%	61	-1.5	221/287/308	87	310	2	0	27%	8%	68	-0.5
✕Joey Wong 2018 · AAA	30	46→49	35→40	42→45	50	214/289/271	57	273	3	3	21%	8%	63	-1.4	218/292/313	95	286	9	6	25%	8%	74	-0.6	182/268/295	113	242	12	0	28%	9%	58	-0.3
✕Gerson Manzanillo 2017 · AAA	31	50	37→30	45→50	45	235/280/298	63	272	5	12	16%	5%	64	-1.3	237/273/311	74	280	5	14	17%	4%	64	-1.3	238/263/294	56	284	2	13	17%	2%	53	-0.9
✕Anthony Bemboom 2020 · MLB	30	39	42→40	44→45	44	197/256/300	103	258	10	4	27%	7%	57	-1.8	203/272/324	121	261	13	5	26%	8%	69	-0.9	193/262/294	101	249	10	2	26%	8%	56	-0.6
✕Donnie Sadler 2004 · MLB	29	41	39→40	49→55	50	199/273/288	89	243	6	17	20%	8%	61	-1.5	220/286/333	113	280	9	13	23%	8%	76	-0.4	205/275/306	101	271	4	16	24%	9%	62	-0.4
✕Brian Bocock 2014 · AAA	29	40→46	39→40	50	43	197/244/284	86	245	7	14	22%	6%	48	-2.5	213/259/297	84	280	6	9	25%	5%	57	-1.8	214/256/277	63	287	2	5	25%	5%	48	-1.7
✕Enrique Trujillo 2017 · AAA	30	49	36→30	47→50	45	230/278/291	61	282	4	15	20%	6%	63	-1.4	222/275/302	80	279	6	17	22%	6%	64	-1.3	216/266/265	48	275	0	28	20%	5%	50	-0.6
✕Francisco Rivera 2019 · AAA	30	46	40	48→40	48	221/278/314	93	266	7	8	20%	7%	68	-1.0	238/292/346	108	282	12	7	19%	7%	80	-0.1	242/293/327	84	282	11	2	18%	6%	75	-0.3
✕Mitch Canham 2014 · AAA	29	46→49	38→40	49→45	48	216/280/304	88	276	4	12	22%	8%	66	-1.1	216/272/311	95	273	7	13	22%	7%	65	-1.2	179/219/223	45	218	4	12	20%	5%	23	-0.8
✕Pete Orr 2008 · MLB	29	48→45	39→45	52→55	42	230/268/319	89	289	5	15	22%	5%	65	-1.2	225/268/335	110	278	7	20	21%	4%	69	-0.9	221/264/336	115	269	8	23	20%	4%	65	-1.0
✕Eric Bruntlett 2009 · MLB	31	48→51	38→40	53→55	53	228/299/307	79	268	5	20	16%	9%	74	-0.5	204/262/299	95	254	8	13	22%	6%	59	-1.6	181/234/270	88	231	8	9	25%	5%	39	-1.5
✕Guilder Rodriguez 2013 · AAA	30	49→54	33→30	50→55	50	227/279/262	35	263	1	17	14%	7%	55	-1.9	222/275/262	40	264	2	16	15%	7%	54	-2.0	221/275/247	26	263	0	16	15%	7%	48	-1.3
✕Chris Rabago 2022 · AAA	29	40	40	47→55	44	198/265/285	87	273	8	13	29%	8%	57	-1.8	200/266/294	94	306	8	10	35%	7%	59	-1.6	154/223/216	62	257	4	5	39%	6%	24	-1.3

Sung-Mun Song

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps