Andy Polanco

CF San Jose Giants

Age 22 R/R 6'3" / 181 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	ROKSF	163	.264/.352/.336	1	22	35	—	.204/.264/.265
2026	21	ASF	393	.288/.334/.396	1	38	61	—	.241/.278/.330
2027PROJMLE	22	MLBSF	503	.192/.236/.257	2	14	38	-1.1
2028PROJ34% MLB	23	MLBSF	118	.196/.242/.273	1	3	46	-0.5

Next 2 projected WAR -1.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Speed96

wOBA39

ISO37

wRC+35

K%21

Z-Con%19

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsJake Vogel (age 22) · Dionis Hinojosa (age 22) · Jordan Serena (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†38

AVG/OBP/SLG.191 / .234 / .254

PA210

HR1

SB6

K%31

BB%4

ISO64

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE40

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
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
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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)
2025	20	ROK	ACL Giants	—	163	140	37	5	1	1	17	43	2	22	3	264	352	336	688	71	364	26	10	310	35	—	—	—	—	—	—
2026	21	A	San Jose Giants	—	393	364	105	18	9	1	19	120	6	38	14	288	334	396	730	107	424	31	5	323	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	20	ROK MLE	ACL Giants	—	163	147	30	4	1	1	10	59	2	22	3	204	264	265	529	61	292	36	6	220	35	—	—	—	—	—	—
2026	21	A MLE	San Jose Giants	—	393	370	89	14	8	1	13	163	6	38	14	241	278	330	607	89	408	41	3	258	61	—	—	—	—	—	—
2025	20	ROK MLE	ACL Giants	—	163	147	30	4	1	1	10	59	2	22	3	204	264	265	529	61	322	36	6	220	35	—	—	—	—	—	—
2025	20	ROK RAW	ACL Giants	—	163	140	37	5	1	1	17	43	2	22	3	264	352	336	688	71	364	26	10	310	35	—	—	—	—	—	—
2026	21	A MLE	San Jose Giants	—	393	370	89	14	8	1	13	163	6	38	14	241	278	330	607	89	423	41	3	258	61	—	—	—	—	—	—
2026	21	A RAW	San Jose Giants	—	393	364	105	18	9	1	19	120	6	38	14	288	334	396	730	107	424	31	5	323	61	—	—	—	—	—	—
2025	20	ROK MLE	ACL Giants	—	163	150	30	4	1	1	10	59	2	22	3	200	264	260	524	60	292	36	6	220	35	—	—	—	—	—	—
2026	21	A MLE	San Jose Giants	—	393	371	89	14	8	1	13	163	6	38	14	240	278	329	606	89	408	41	3	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	20	ROK MLE	ACL Giants	—	163	150	30	4	1	1	10	59	2	22	3	200	264	260	524	60	292	36	6	220	35	—	—	—	—	—	—
2026	21	A MLE	San Jose Giants	—	393	371	89	14	8	1	13	163	6	38	14	240	278	329	606	89	408	41	3	258	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	SF	0%	503	471	92	18	4	2	21	157	6	14	4	192	236	257	493	64	281	31	4	224	38	-37	+1	+0	+2	+11	-1.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	SF	34%	342	320	64	12	3	3	15	104	4	9	3	199	244	278	522	79	283	30	4	236	46	-22	+1	+0	+1	+7	-1.3
2028	23	MLB CTX	SF	34%	118	111	22	4	1	1	5	36	1	3	1	196	242	273	515	77	279	31	4	233	46	-8	+0	+0	+0	+3	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	118	111	22	4	1	1	5	36	1	3	1	198	239	279	519	81	280	31	4	233	48	-8	+0	+0	+0	+3	-0.5
/ 162G	—	A+C		—	650	611	122	22	6	6	28	198	6	17	6	200	242	285	527	85	281	30	4	233	48	-42	+1	+0	+2	+14	-2.5
Career	—	MLE		—	1108	1034	221	37	14	6	47	391	14	75	22	214	258	294	552	80	333	35	4	239	48	-38	+1	+0	+2	+12	-2.3
/ 162G	—	MLE		—	650	607	130	22	8	4	28	229	8	44	13	214	259	297	555	82	332	35	4	239	48	-44	+1	+0	+2	+14	-2.7

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 ASan Jose Giants · 393 PAwOBA .316 → .258 (−59)K% 30.5% → 41.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.53%	÷1.000	×1.360	—	—	41.53%
BB% (unintentional) /PA	4.83%	÷1.000	×0.690	—	×1.015	3.39%
HBP% /PA	1.53%	—	×0.780	—	×1.015	1.21%
Singles /BIP	31.56%	÷1.000	×0.920	×1.050	×1.015	30.94%
Doubles /BIP	7.38%	÷1.000	×0.830	×1.050	×1.015	6.53%
Triples /BIP	3.69%	÷1.000	×0.910	×1.050	×1.015	3.58%
Home runs /BIP	0.41%	÷1.000	×0.800	—	×1.015	0.33%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .316 → .258; ISO .107 → .085; BABIP .424 → .408. 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 ROKACL Giants · 163 PAwOBA .309 → .220 (−88)K% 26.4% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.38%	÷1.045	×1.440	—	—	36.34%
BB% (unintentional) /PA	10.43%	÷1.070	×0.620	—	×0.995	6.01%
HBP% /PA	1.23%	—	×0.720	—	×0.995	0.88%
Singles /BIP	30.93%	÷1.042	×0.820	×1.050	×0.995	25.44%
Doubles /BIP	5.15%	÷1.001	×0.720	×1.050	×0.995	3.87%
Triples /BIP	1.03%	÷1.150	×0.720	×1.050	×0.995	0.67%
Home runs /BIP	1.03%	÷1.128	×0.780	—	×0.995	0.71%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 108, 2B 100, 3B 130, K 109, BB 114 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .309 → .220; ISO .071 → .049; BABIP .364 → .292. 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
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Garrett 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
#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 1 projected seasons	0.5	328	2	9	195	237	265	+0	+0	-1.6	-0.8
/162	664	3	18	+0.1	+0.0	-3.2	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
Andy Polanco (OGILVIE)	22	35	20	60	40	191/234/254	64	281	1	6	31%	4%	38	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake Vogel 2024 · A	22	41→40	36→40	55	39	192/256/265	73	293	3	17	34%	6%	49	-2.4	185/257/258	73	290	5	18	35%	7%	49	-2.4	138/225/185	48	226	4	22	38%	8%	19	-2.5
✕Dionis Hinojosa 2013 · A	22	41	35→30	54→60	42	192/258/252	60	278	3	21	30%	7%	47	-2.6	198/249/266	68	276	4	12	28%	6%	46	-2.6	186/233/242	56	249	3	13	25%	5%	32	-0.9
✕Jordan Serena 2016 · A	23	39→44	35→30	55→50	38	181/249/242	60	280	2	18	34%	6%	41	-3.0	192/247/255	63	293	3	10	33%	5%	43	-2.8	184/238/241	57	282	3	9	34%	5%	34	-2.1
✕Nick Hill 2017 · A	22	43	35→30	56→55	33	198/249/261	63	307	2	16	34%	4%	45	-2.7	196/260/261	65	346	2	17	41%	5%	49	-2.4	188/247/230	42	401	2	20	50%	4%	35	-1.2
✕Matt Sheely 2009 · A	22	45	36→30	57→50	42	213/263/286	73	287	3	14	26%	6%	55	-1.9	211/274/269	58	313	2	17	31%	7%	56	-1.9	208/274/251	43	315	1	20	31%	6%	50	-0.8
✕Yhoswar Garcia 2024 · A	22	39	37→30	58→70	39	190/246/264	74	268	4	27	30%	5%	45	-2.7	209/257/270	61	275	2	42	23%	6%	49	-2.4	208/255/258	50	270	1	58	22%	6%	44	-1.6
✕Dalvy Rosario 2022 · A	22	41→43	38→40	54→55	42	199/261/275	77	278	6	14	29%	7%	53	-2.1	198/244/286	88	289	8	19	33%	5%	49	-2.4	188/230/270	82	277	8	22	34%	4%	38	-2.0
✕Arlon Quiroz 2009 · A	22	42	36→30	53→55	45	196/264/262	66	279	4	18	29%	8%	51	-2.2	201/264/260	59	319	2	17	34%	8%	50	-2.3	187/255/228	41	303	0	24	35%	8%	37	-1.8
✕Alfredo Reyes 2017 · A	23	37	36→30	57→55	35	180/221/239	59	277	4	20	36%	5%	28	-3.9	199/250/264	65	325	4	24	37%	6%	46	-2.6	197/255/255	58	327	4	28	38%	7%	43	-1.5
✕Reidy Mercado 2023 · A	22	41	35→30	54→60	37	191/244/243	52	302	2	17	36%	6%	38	-3.2	190/240/248	58	304	3	23	36%	6%	38	-3.2	168/215/212	44	272	1	36	37%	5%	18	-1.2
✕Jose Curpa 2022 · A	22	40	36→30	58→55	47	185/274/255	70	288	2	24	33%	10%	55	-2.0	207/297/291	84	313	5	17	32%	9%	71	-0.8	199/309/261	62	300	4	23	31%	11%	68	-0.3
✕Kevin Kilpatrick Jr. 2024 · A	23	40→39	38→40	57→60	41	192/257/274	83	287	5	20	33%	7%	51	-2.2	194/250/269	75	290	5	28	33%	6%	47	-2.5	190/245/259	69	282	5	35	33%	6%	41	-2.0
✕Jose Ramos 2024 · A	21	36	38→40	59→55	43	175/251/257	81	256	4	23	31%	7%	46	-2.6	195/280/275	80	288	5	23	31%	9%	61	-1.5	194/290/265	72	282	5	28	30%	11%	60	-0.5
✕Karson Simas 2023 · A	22	39→40	36→30	56→60	32	172/228/241	69	331	3	14	46%	6%	32	-3.6	180/240/244	64	298	4	17	38%	6%	38	-3.2	178/238/232	54	279	4	21	35%	6%	33	-1.6
✕Oliver Marmol 2009 · A	23	37	36→40	55	38	180/237/247	66	254	3	19	29%	5%	38	-3.2	186/267/274	88	283	6	13	34%	6%	57	-1.8	158/260/245	87	255	5	10	36%	6%	48	-0.7
✕Jordan Sprinkle 2024 · A	23	40	37→30	54→65	40	193/252/263	71	286	6	16	33%	7%	47	-2.5	190/254/251	61	269	4	36	29%	7%	45	-2.7	186/252/236	50	259	3	50	27%	7%	39	-1.8
✕Brantley Bell 2017 · A	22	44→43	35→40	49→55	38	204/252/262	57	301	2	15	31%	5%	45	-2.7	202/251/273	71	282	5	16	29%	5%	48	-2.5	186/236/256	70	247	5	15	26%	5%	37	-1.4
✕Jose Escorche 2024 · A	22	44	36→30	51→55	38	207/250/268	61	296	4	16	30%	5%	47	-2.6	195/247/258	63	300	4	11	34%	5%	43	-2.8	137/197/152	15	228	0	9	37%	5%	-1	-1.7
✕Omar Hernandez 2023 · A	21	37	36→30	52→55	36	180/223/245	65	267	3	12	33%	5%	31	-3.7	192/242/254	62	259	4	17	26%	6%	40	-3.0	208/245/263	55	275	4	21	25%	4%	40	-1.5
✕Gregory Lorenzo 2013 · A	22	43→47	38→30	54→55	37	206/257/293	87	296	4	15	31%	5%	55	-1.9	205/239/271	66	324	2	21	36%	3%	42	-2.9	197/230/251	53	314	1	23	36%	3%	31	-2.5

Andy Polanco

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps