Andy Polanco — OGILVIE

Andy PolancoCF San Jose Giants

Age 21 R/R 6'3" / 181 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION393 act + 9 ros · stats below = ROS only

showingROS

wRC+†51

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%33

BB%4

BABIP327

ISO65

MLB%0%

Value2026 · WAR

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

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 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-0.3M	+$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. 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)
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	96	-1	+3	—	—	+4	0.6
▸ 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	294	36	6	221	36	-12	+3	—	—	+4	-0.6
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	221	36	—	—	—	—	—	—
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	36	—	—	—	—	—	—
2025	20	ROK MLE	ACL Giants	—	163	150	30	4	1	1	10	59	2	22	3	200	264	260	524	60	294	36	6	221	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	20	ROK MLE	ACL Giants	—	163	150	30	4	1	1	10	59	2	22	3	200	264	260	524	60	294	36	6	221	36	—	—	—	—	—	—
YTD	21	A MLE	SF	—	393	370	86	14	6	1	13	161	6	38	14	232	270	311	581	78	405	41	3	250	55	-21	+2	+0	+1	+9	-0.9
▸ 2026 season
YTD	21	A RAW	SF	—	393	364	105	18	9	1	19	120	6	38	14	288	334	396	730	107	424	31	5	323	55	—	—	—	—	—	—
ROS	21	A MLE	SF	0%	9	9	1	0	0	0	0	3	0	1	0	111	111	111	222		333	33	0	244	51	-1	+0	+0	+0	+0	-0.0
TOT	21	A MLE	SF	—	402	379	87	14	6	1	13	164	6	39	14	230	266	306	572	77	398	41	3	250	55	-21	+2	+0	+1	+9	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	SF	34%	365	342	75	13	4	3	16	122	4	13	4	219	262	307	569	88	327	33	4	258	61	-17	+1	+0	+1	+8	-0.7
2028	23	MLB MLE	SF	48%	435	406	91	16	4	6	21	140	5	13	5	224	271	328	598	103	325	32	5	269	68	-16	+1	+0	+2	+9	-0.5
2029	24	MLB MLE	SF	53%	478	445	102	18	5	8	24	151	6	14	5	229	278	346	624	117	324	32	5	276	73	-15	+1	+0	+2	+10	-0.3
2030	25	MLB MLE	SF	55%	496	461	107	19	5	9	26	155	6	13	5	232	282	354	636	121	324	31	5	280	75	-15	+1	+0	+2	+11	-0.1
2031	26	MLB MLE	SF	56%	506	468	108	19	5	9	27	158	6	13	5	231	281	350	632	120	324	31	5	281	76	-14	+1	+0	+2	+11	-0.1
2032	27	MLB MLE	SF	55%	505	467	108	19	5	9	27	158	6	13	4	231	282	351	633	120	323	31	5	281	76	-14	+1	+0	+2	+11	-0.1
2027	22	MLB CTX	SF	34%	125	117	24	4	1	1	6	42	1	4	1	205	250	282	532	77	321	34	5	245	61	-6	+0	+0	+0	+3	-0.2
2028	23	MLB CTX	SF	48%	211	197	44	8	2	3	10	68	2	7	2	223	268	330	598	107	319	32	5	255	68	-8	+1	+0	+1	+5	-0.2
2029	24	MLB CTX	SF	53%	252	234	52	9	2	4	13	80	3	7	2	222	272	329	601	107	319	32	5	262	73	-8	+1	+0	+1	+5	-0.1
2030	25	MLB CTX	SF	55%	271	252	57	10	3	4	14	85	3	7	3	226	275	337	612	111	318	31	5	265	75	-8	+0	+0	+1	+6	-0.1
2031	26	MLB CTX	SF	56%	282	262	59	10	3	5	15	88	3	7	3	225	275	344	619	118	318	31	5	266	76	-8	+0	+0	+1	+6	-0.1
2032	27	MLB CTX	SF	55%	278	258	59	10	3	5	15	87	3	7	2	229	279	349	628	120	318	31	5	266	76	-8	+1	+0	+1	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1419	1320	295	51	14	22	73	450	15	39	13	223	272	333	605	110	320	32	5	262	70	-46	+3	+0	+5	+31	-0.7
/ 162G	—	A+C		—	650	605	134	23	6	10	33	206	7	18	6	221	270	329	599	107	316	32	5	262	70	-21	+1	+0	+2	+14	-0.3
Career	—	MLE		—	2957	2745	622	108	29	45	151	946	35	102	31	227	276	336	612	110	326	32	5	272	70	-93	+5	+0	+10	+61	-1.8
/ 162G	—	MLE		—	650	603	137	24	6	10	33	208	8	22	7	227	276	337	613	109	326	32	5	272	70	-22	+1	+0	+2	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Dustin 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
#3Ryan 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
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#5Nick 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
#6Alexi 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.5	1,652	24	46	224	270	331	-8	+0	-2.3	-1.1
/162	664	9	19	-3.1	+0.0	-0.9	pk7: 0

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)	21	35	20	60	40	212/253/283	71	333	1	14	35%	4%	51	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mikey Edie 2017 · A	20	43	34→30	50	36	201/262/254	53	296	2	14	31%	4%	49	-2.4	216/267/279	63	314	3	13	30%	4%	55	-1.9	200/250/260	60	280	3	7	28%	3%	41	-1.5
✕Jon Matthews 2012 · A	21	42	36→40	54→60	40	196/256/265	69	282	2	18	30%	6%	49	-2.4	205/266/278	73	292	4	23	29%	6%	55	-1.9	231/302/293	61	313	3	21	25%	8%	69	-0.4
✕Luke Williams 2018 · A	21	39→44	35→45	55→65	41	188/231/241	52	251	2	18	26%	5%	33	-3.6	199/255/288	89	264	8	18	26%	6%	54	-2.0	222/284/339	116	307	11	42	29%	7%	74	-0.3
✕Juan Beltre 2007 · A	21	36	34→30	47→60	34	173/221/220	48	266	2	10	34%	4%	25	-4.1	209/274/272	63	297	3	19	29%	6%	57	-1.8	243/319/291	49	314	2	32	21%	7%	76	-0.2
✕Lane Adams 2011 · A	21	44→46	37→45	57→60	40	206/257/280	74	300	4	14	31%	6%	52	-2.2	213/263/314	101	299	8	14	30%	6%	62	-1.4	227/280/350	123	310	14	36	30%	6%	74	-0.4
✕Anderson Bohorquez 2019 · A	21	43	35→30	51→50	41	202/258/263	61	274	2	15	26%	5%	49	-2.4	198/249/266	68	274	3	11	27%	6%	45	-2.7	162/201/196	33	208	0	12	21%	5%	12	-0.9
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Tyler James 2018 · A	21	44	36→30	64→65	42	204/266/281	77	293	2	27	29%	7%	56	-1.9	220/283/294	74	332	4	27	32%	7%	65	-1.2	230/297/289	60	352	4	45	33%	8%	65	-0.5
✕Victor Soto 2010 · A	21	39	37→45	56→60	40	188/240/265	77	263	3	22	29%	5%	42	-2.9	199/243/272	73	293	3	14	31%	5%	45	-2.7	187/218/237	50	279	0	18	32%	3%	25	-0.8
✕Gorge Munoz 2017 · A	21	43	38→40	50→55	42	205/260/282	78	258	5	17	22%	5%	54	-2.0	206/257/291	85	297	7	10	31%	5%	55	-1.9	189/234/268	78	291	9	9	37%	3%	38	-0.8
✕Charcer Burks 2016 · A	21	43→46	36→40	53→50	44	205/261/274	70	275	4	17	26%	7%	53	-2.1	203/273/298	95	282	7	15	28%	8%	63	-1.3	197/274/291	94	277	8	14	29%	8%	60	-1.4
✕Junior Boni 2012 · A	21	44	37→40	55	48	204/278/285	80	264	2	16	22%	8%	62	-1.4	200/272/276	76	269	3	12	25%	8%	57	-1.8	146/233/191	44	204	0	13	25%	9%	22	-0.9
✕Johnni Turbo 2009 · A	20	37→47	37→40	54→55	36	184/222/257	73	263	4	13	31%	4%	33	-3.6	211/247/290	79	307	4	16	31%	4%	50	-2.3	254/283/341	87	306	5	19	18%	3%	73	-0.4
✕Edwin Ventura 2018 · A	20	42	35→30	52→55	39	198/239/256	58	257	3	9	24%	4%	39	-3.1	194/248/246	52	266	2	16	26%	6%	40	-3.0	176/234/198	22	242	0	27	25%	6%	24	-1.7
✕Grolmann Gonzalez 2010 · A	21	40	38→40	52→55	42	193/255/277	85	272	4	9	29%	7%	51	-2.2	209/265/303	94	303	6	7	31%	6%	61	-1.5	218/266/319	101	307	7	4	30%	6%	63	-0.3
✕Omar Guerra 2008 · A	21	41	35→30	48→50	45	193/274/246	53	257	2	9	24%	7%	53	-2.1	220/315/279	59	272	2	11	19%	6%	76	-0.4	229/342/268	39	277	0	15	15%	5%	81	-0.0
✕Alex Gonzalez 2011 · A	20	43	34→30	54→60	43	201/261/250	48	284	1	19	28%	7%	47	-2.5	213/281/271	58	289	2	12	25%	7%	59	-1.6	206/278/255	49	273	1	12	23%	7%	53	-0.7
✕Joe Munoz 2008 · A	22	43	36→30	51→55	44	202/275/270	69	257	2	16	21%	6%	58	-1.7	204/255/269	65	274	3	9	25%	4%	49	-2.4	197/231/226	29	265	0	9	25%	2%	27	-1.1
✕Ricardo Rosario 2023 · A	20	40	37→40	50→55	42	192/252/267	75	262	4	12	27%	6%	48	-2.5	202/274/290	88	285	7	19	30%	8%	61	-1.5	196/282/285	89	259	11	29	27%	9%	63	-0.8
✕Dionis Hinojosa 2013 · A	22	44	36→30	54→60	41	204/267/268	64	302	3	21	32%	6%	53	-2.1	203/255/273	70	283	4	12	28%	6%	50	-2.3	193/241/250	58	258	3	13	25%	5%	37	-0.8

Career Stats + Projections

Career Comps

Career Path Comps