Ronny Polanco — OGILVIE

Ronny Polanco3B ACL D-backs

Age 22 R/R 5'11" / 180 lbs ROK HR -11% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 97 proj PA

wRC+†68

AVG/OBP/SLG.208 / .272 / .316

PA8

HR0

K%29

BB%7

ISO110

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · Contract

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
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
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		$0.5M	+$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)
2021	17	ROK	ACL D-backs	—	185	163	36	7	0	4	18	52	2	3	2	221	306	337	643	117	294	28	10	292	84	-4	-0	—	—	+4	0.0
2022	18	ROK	ACL D-backs Black	—	187	174	42	9	2	3	12	56	1	1	3	241	294	368	662	126	339	30	6	297	87	-3	-1	—	—	+4	0.0
2023	19	A	Visalia Rawhide	—	148	137	21	4	1	2	8	48	3	2	0	153	216	241	457	88	218	32	5	212	30	-12	+0	—	—	+3	-0.9
2023	19	ROK	ACL D-backs Red	—	154	132	39	5	0	5	16	29	5	1	0	295	392	447	839	152	343	19	10	376	141	+7	+0	—	—	+3	1.1
2024	20	ROK	ACL D-backs	—	128	109	23	3	0	1	13	32	5	3	1	211	323	266	589	55	286	25	10	280	76	-4	+0	—	—	+3	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	ACL D-backs	—	185	170	25	5	0	3	11	76	2	3	2	147	208	229	437	82	228	41	6	192	16	-18	-0	—	—	+4	-1.5
2022	18	ROK MLE	ACL D-backs Black	—	187	179	27	5	1	2	7	82	1	1	3	151	187	223	411	73	270	44	4	187	13	-19	-1	—	—	+4	-1.7
2023	19	A MLE	Visalia Rawhide	—	148	139	17	3	1	2	6	63	3	2	0	122	176	201	377	79	191	43	4	156	-8	-19	+0	—	—	+3	-1.6
2023	19	ROK MLE	ACL D-backs Red	—	154	138	30	4	0	4	10	42	5	1	0	217	294	333	627	116	267	27	6	270	69	-6	+0	—	—	+3	-0.2
2024	20	ROK MLE	ACL D-backs	—	128	114	17	2	0	1	8	48	5	3	1	149	236	193	429	44	231	38	6	191	15	-13	+0	—	—	+3	-1.0
2021	17	ROK MLE	ACL D-backs	—	185	170	25	5	0	3	11	76	2	3	2	147	208	229	437	82	237	41	6	192	16	—	—	—	—	—	—
2021	17	ROK RAW	ACL D-backs	—	185	163	36	7	0	4	18	52	2	3	2	221	306	337	643	117	294	28	10	292	16	—	—	—	—	—	—
2022	18	ROK MLE	ACL D-backs Black	—	187	179	27	5	1	2	7	82	1	1	3	151	187	223	411	73	263	44	4	187	13	—	—	—	—	—	—
2022	18	ROK RAW	ACL D-backs Black	—	187	174	42	9	2	3	12	56	1	1	3	241	294	368	662	126	339	30	6	297	13	—	—	—	—	—	—
2023	19	ROK MLE	2 teams	—	302	278	46	6	1	6	15	105	8	3	0	165	229	259	488	94	238	35	5	214	31	—	—	—	—	—	—
2023	19	ROK RAW	2 teams	—	302	269	60	9	1	7	24	77	8	3	0	223	306	342	648	119	285	25	8	296	31	—	—	—	—	—	—
2024	20	ROK MLE	ACL D-backs	—	128	114	17	2	0	1	8	48	5	3	1	149	236	193	429	44	242	38	6	191	15	—	—	—	—	—	—
2024	20	ROK RAW	ACL D-backs	—	128	109	23	3	0	1	13	32	5	3	1	211	323	266	589	55	286	25	10	280	15	—	—	—	—	—	—
2021	17	ROK MLE	ACL D-backs	—	185	170	25	5	0	3	11	76	2	3	2	147	208	229	437	82	228	41	6	192	16	—	—	—	—	—	—
2022	18	ROK MLE	ACL D-backs Black	—	187	177	27	5	1	2	7	82	1	1	3	153	187	226	413	73	270	44	4	187	13	—	—	—	—	—	—
2023	19	ROK MLE	2 teams	—	302	276	46	6	1	6	15	105	8	3	0	167	229	261	490	94	230	35	5	214	31	—	—	—	—	—	—
2024	20	ROK MLE	ACL D-backs	—	128	114	17	2	0	1	8	48	5	3	1	149	236	193	429	44	231	38	6	191	15	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	2 teams	—	302	276	46	6	1	6	15	105	8	3	0	167	229	261	490	94	230	35	5	214	31	—	—	—	—	—	—
2024	20	ROK MLE	ACL D-backs	—	128	114	17	2	0	1	8	48	5	3	1	149	236	193	429	44	231	38	6	191	15	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	ARI	0%	8	7	1	0	0	0	1	2	0	0	0	143	250	143	393		282	25	12	268	68	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	ARI	34%	152	138	29	5	1	3	11	42	2	2	1	210	278	326	604	116	284	28	7	279	75	-4	+0	+0	+1	+3	-0.1
2028	24	MLB MLE	ARI	46%	272	246	56	10	2	7	20	74	4	4	1	228	296	370	666	142	285	27	7	287	80	-6	+0	+0	+1	+6	0.1
2029	25	MLB MLE	ARI	52%	348	314	70	12	2	9	26	94	5	5	1	223	293	360	653	137	286	27	7	291	83	-7	+1	+0	+1	+8	0.2
2030	26	MLB MLE	ARI	54%	398	361	80	14	2	10	29	107	5	6	2	222	289	355	643	133	286	27	7	293	85	-7	+0	+0	+1	+9	0.3
2031	27	MLB MLE	ARI	54%	423	382	85	15	2	11	32	114	6	6	2	223	293	359	651	136	286	27	8	293	85	-8	+0	+0	+2	+9	0.3
2032	28	MLB MLE	ARI	54%	435	393	87	15	2	11	33	118	6	6	2	221	292	354	645	132	285	27	8	292	84	-8	+0	-1	+2	+9	0.2
2033	29	MLB MLE	ARI	53%	436	394	86	15	2	11	33	119	6	6	2	218	289	350	639	132	284	27	8	290	83	-9	+0	-1	+2	+9	0.1
2034	30	MLB MLE	ARI	52%	432	390	86	15	2	11	33	119	6	5	1	221	291	354	645	133	283	28	8	287	81	-10	+1	-2	+2	+9	-0.1
2027	23	MLB CTX	ARI	34%	52	47	10	2	0	1	4	14	1	1	0	213	288	319	608	106	290	27	8	272	75	-2	+0	+0	+0	+1	-0.0
2028	24	MLB CTX	ARI	46%	125	113	26	5	1	3	9	34	2	2	1	230	298	372	670	142	291	27	7	280	80	-3	+0	+0	+0	+3	0.0
2029	25	MLB CTX	ARI	52%	180	163	37	7	1	4	13	49	2	3	1	227	292	356	648	129	292	27	7	284	83	-4	+0	+0	+1	+4	0.1
2030	26	MLB CTX	ARI	54%	216	195	43	8	1	5	16	58	3	3	1	221	290	349	638	128	292	27	7	286	85	-4	+0	+0	+1	+5	0.2
2031	27	MLB CTX	ARI	54%	229	207	47	9	1	6	17	62	3	3	1	227	295	367	662	140	291	27	7	286	85	-4	+0	+0	+1	+5	0.2
2032	28	MLB CTX	ARI	54%	236	213	48	9	1	6	18	64	3	3	1	225	295	362	656	136	291	27	8	285	84	-4	+0	-0	+1	+5	0.1
2033	29	MLB CTX	ARI	53%	231	208	47	9	1	6	18	63	3	3	1	226	297	365	662	139	290	27	8	283	83	-5	+0	-1	+1	+5	0.1
2034	30	MLB CTX	ARI	52%	226	204	44	8	1	5	17	62	3	3	1	216	286	338	624	123	288	27	8	280	81	-5	+0	-1	+1	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1495	1350	302	57	7	36	112	406	20	21	7	224	293	356	649	133	291	27	7	283	69	-31	+1	-2	+5	+32	0.6
/ 162G	—	A+C		—	650	587	132	25	3	16	49	177	9	9	3	225	295	359	654	135	292	27	8	283	69	-13	+1	-1	+2	+14	0.3
Career	—	MLE		—	3706	3366	695	119	17	85	259	1100	56	50	18	206	274	328	602	121	277	30	7	270	69	-60	+3	-4	+10	+63	1.2
/ 162G	—	MLE		—	650	590	122	21	3	15	45	193	10	9	3	207	274	329	603	122	278	30	7	270	69	-14	+1	-1	+2	+14	0.3

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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.4	1,594	40	22	222	288	356	+6	+2	1.7	1.8
/162	664	17	9	+2.4	+1.0	0.7	pk7: 2
#6Nick 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

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
Ronny Polanco (OGILVIE)	22	—	—	—	—	208/272/316	109	282	2	1	29%	7%	68	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Jabari Henry 2013 · A	22	42→41	46→55	49→45	44	211/272/346	135	274	13	6	28%	7%	74	-0.6	207/286/361	154	270	17	6	28%	9%	83	+0.1	192/278/355	163	249	19	6	30%	10%	76	-0.3
✕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
✕Adam Abraham 2009 · A	22	39→46	44→50	49→40	43	197/259/310	113	258	12	5	28%	7%	61	-1.5	217/273/330	113	277	10	4	24%	6%	70	-0.8	220/280/334	115	276	11	2	23%	7%	72	-0.3
✕Tyler Kolodny 2010 · A	22	40→36	43→45	49→50	41	200/271/316	116	273	11	8	30%	6%	67	-1.1	208/282/338	130	278	13	10	29%	6%	76	-0.4	207/287/352	145	264	16	10	27%	6%	79	-0.1
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Cody Freeman 2023 · A	22	41→51	43→50	47→50	46	204/266/306	103	244	12	9	22%	6%	63	-1.4	220/268/349	129	260	14	9	21%	5%	73	-0.6	248/292/385	137	277	15	10	16%	5%	89	+0.4
✕Corey Joyce 2021 · A	22	44	40	50	39	211/267/307	95	311	8	8	33%	6%	63	-1.4	201/290/309	108	293	11	12	33%	9%	74	-0.6	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Kevin Padlo 2018 · A	22	36→40	45→50	44→50	47	182/268/311	128	259	12	8	33%	10%	65	-1.2	195/278/338	143	287	14	9	35%	9%	75	-0.5	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Anderson Gomes 2007 · A	22	42→40	42→45	47→50	39	207/256/314	107	282	10	9	30%	5%	60	-1.6	223/276/335	112	301	11	7	28%	6%	72	-0.7	229/283/339	110	302	11	5	27%	7%	75	-0.2
✕Zach Green 2016 · A	22	42	40→55	49→40	39	208/248/301	93	281	8	6	28%	5%	53	-2.1	203/258/334	131	317	14	3	39%	5%	66	-1.1	194/261/373	179	295	22	1	40%	7%	74	-0.3
✕Yu Chang 2017 · A	21	40→44	45→50	49→45	38	203/253/331	128	284	12	8	32%	6%	63	-1.3	200/259/336	136	279	14	8	32%	6%	67	-1.1	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Miguel Amaya 2021 · A	22	42→41	46→50	48→40	46	211/282/339	129	262	14	4	25%	7%	77	-0.3	219/310/346	127	298	13	6	29%	9%	89	+0.5	212/319/354	142	290	16	3	30%	10%	93	+0.3
✕Devin Mann 2019 · A	22	44	38→50	46→45	48	208/284/291	83	279	5	9	26%	9%	65	-1.2	218/288/366	148	285	17	7	28%	8%	84	+0.2	210/294/364	154	277	16	4	29%	9%	85	+0.2
✕Tucker Mitchell 2023 · A	22	38	43→45	51→45	35	181/259/287	106	307	11	11	42%	7%	57	-1.8	200/265/308	108	290	13	7	34%	6%	63	-1.4	190/248/282	93	268	12	5	33%	5%	49	-1.0
✕Sandro Fabian 2021 · A	23	40→46	44→55	46→45	39	204/261/317	114	276	13	6	30%	6%	63	-1.3	224/265/382	158	260	20	4	22%	4%	80	-0.2	223/272/387	164	251	20	4	20%	5%	81	-0.1
✕Christian Villanueva 2013 · A	22	45→46	43→55	47→50	39	221/276/332	111	285	11	13	26%	5%	72	-0.7	211/258/344	133	266	14	6	26%	5%	68	-1.0	223/280/397	174	256	23	3	23%	6%	88	+0.3
✕Blaze Alexander 2021 · A	22	45→48	42→45	51→50	42	215/281/322	107	301	9	11	30%	7%	72	-0.7	206/277/331	125	321	14	12	37%	7%	73	-0.6	239/319/362	123	339	12	15	30%	8%	93	+0.6
✕Pedro Pagés 2022 · A	23	43→45	43→50	42→40	42	211/278/315	104	301	11	4	32%	7%	69	-0.9	213/277/334	121	292	13	4	30%	7%	73	-0.6	227/286/364	137	285	17	2	26%	7%	81	-0.0
✕Deibinson Romero 2009 · A	22	46→45	43→50	46→40	40	225/277/338	113	297	11	7	27%	5%	74	-0.6	202/269/296	94	280	8	3	29%	7%	61	-1.5	223/296/348	126	274	12	2	22%	8%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps