Cristopher Polanco

Cristopher PolancoSS DSL Blue Jays Blue

Age 18 L/R 5'10" / 174 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION202 act + 19 ros · stats below = ROS only

showingROS

wRC+†61

AVG/OBP/SLG.176 / .263 / .235

PA19

HR0

K%32

BB%11

BABIP262

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$22M ctrl surplus

Tools · ContractCON 20 / POW 20

Toolsscout grade

CONTACT20

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED50

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
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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.2M
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$8M	+$3M

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	17	ROK	DSL Blue Jays Blue	—	222	164	29	7	1	0	52	56	6	9	5	177	392	232	624	55	269	25	23	317	100	+0	-0	—	—	+5	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Blue Jays Blue	—	222	183	19	4	1	0	33	83	6	9	5	104	261	137	398	33	192	37	15	202	23	-20	-0	—	—	+5	-1.6
2025	17	ROK MLE	DSL Blue Jays Blue	—	222	183	19	4	1	0	33	83	6	9	5	104	261	137	398	33	190	37	15	202	23	—	—	—	—	—	—
2025	17	ROK RAW	DSL Blue Jays Blue	—	222	164	29	7	1	0	52	56	6	9	5	177	392	232	624	55	269	25	23	317	23	—	—	—	—	—	—
2025	17	ROK MLE	DSL Blue Jays Blue	—	222	181	19	4	1	0	33	83	6	9	5	105	261	138	399	33	192	37	15	202	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Blue Jays Blue	—	222	181	19	4	1	0	33	83	6	9	5	105	261	138	399	33	192	37	15	202	23	—	—	—	—	—	—
YTD	18	ROK MLE	TOR	—	202	167	29	5	1	2	30	66	3	7	4	174	310	251	561	78	267	33	15	252	57	-10	-0	+0	+2	+4	-0.4
▸ 2026 season
YTD	18	ROK RAW	TOR	—	202	149	33	6	1	2	48	46	3	7	4	221	420	315	735	94	301	23	24	351	57	—	—	—	—	—	—
ROS	18	ROK MLE	TOR	0%	19	17	3	1	0	0	2	6	0	0	0	176	263	235	498	59	261	32	11	258	61	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	TOR	—	221	184	32	6	1	2	32	72	3	7	4	174	306	250	556	76	268	33	14	252	57	-11	-0	+0	+2	+5	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	TOR	34%	271	233	44	8	1	3	32	76	4	5	2	189	297	270	568	82	265	28	12	269	68	-10	+0	+0	+3	+6	-0.1
2028	20	MLB MLE	TOR	48%	393	338	67	12	2	6	46	108	6	7	3	198	305	299	604	101	269	27	12	280	75	-12	+0	+0	+4	+9	0.1
2029	21	MLB MLE	TOR	54%	484	417	84	15	2	8	57	130	7	9	4	201	308	305	612	103	271	27	12	286	80	-12	+0	+0	+5	+10	0.4
2030	22	MLB MLE	TOR	57%	548	471	98	18	3	10	64	145	8	10	4	208	313	323	636	115	273	26	12	291	83	-11	+0	+0	+6	+12	0.7
2031	23	MLB MLE	TOR	58%	592	509	106	19	3	11	69	156	9	11	4	208	313	322	636	114	274	26	12	293	85	-11	+1	+0	+6	+13	0.9
2032	24	MLB MLE	TOR	57%	616	530	111	20	3	12	72	162	9	12	5	209	314	326	641	117	274	26	12	295	86	-10	+0	+0	+7	+13	1.0
2033	25	MLB MLE	TOR	57%	627	539	112	20	3	12	74	165	9	12	5	208	314	323	636	115	275	26	12	296	86	-10	+0	+0	+7	+14	1.1
2034	26	MLB MLE	TOR	60%	635	545	115	21	3	13	75	167	10	12	5	211	317	332	650	121	274	26	12	296	87	-10	+0	+0	+7	+14	1.1
2035	27	MLB MLE	TOR	62%	634	543	114	20	3	13	76	167	10	12	5	210	318	330	648	120	274	26	12	296	87	-10	+0	+0	+7	+14	1.1
2036	28	MLB MLE	TOR	63%	629	539	112	20	3	12	76	166	9	12	5	208	316	323	639	115	274	26	12	295	86	-10	+0	-1	+7	+14	1.0
2037	29	MLB MLE	TOR	65%	619	530	110	20	3	12	75	165	9	11	4	208	316	325	640	117	273	27	12	294	85	-11	+1	-1	+7	+13	0.8
2038	30	MLB MLE	TOR	65%	609	521	107	19	3	11	74	164	9	10	4	205	315	317	631	111	272	27	12	291	83	-12	+0	-2	+7	+13	0.6
2039	31	MLB MLE	TOR	65%	595	509	103	18	3	11	72	162	9	10	4	202	312	314	626	112	270	27	12	287	81	-14	+0	-3	+6	+13	0.3
2040	32	MLB MLE	TOR	65%	576	494	97	17	2	10	69	159	8	9	4	196	305	300	604	103	267	28	12	282	77	-16	+0	-4	+6	+12	-0.0
2027	19	MLB CTX	TOR	34%	93	81	16	3	1	1	11	26	1	2	1	198	301	296	597	99	267	28	12	260	68	-4	+0	+0	+1	+2	-0.1
2028	20	MLB CTX	TOR	48%	190	163	33	6	1	3	22	52	3	3	1	202	309	307	615	104	271	27	12	270	75	-6	+0	+0	+2	+4	0.1
2029	21	MLB CTX	TOR	54%	262	225	45	8	1	4	31	70	4	5	2	200	308	298	605	98	273	27	12	276	80	-6	+0	+0	+3	+6	0.2
2030	22	MLB CTX	TOR	57%	310	266	56	10	2	6	36	82	5	6	2	211	316	331	647	120	274	26	12	281	83	-6	+0	+0	+3	+7	0.4
2031	23	MLB CTX	TOR	58%	341	293	61	11	2	6	40	90	5	6	3	208	314	321	634	113	275	26	12	283	85	-6	+0	+0	+4	+7	0.5
2032	24	MLB CTX	TOR	57%	351	302	63	11	2	7	41	92	5	7	3	209	313	328	641	119	276	26	12	285	86	-6	+0	+0	+4	+8	0.6
2033	25	MLB CTX	TOR	57%	356	306	65	12	2	7	42	93	5	7	3	212	317	333	651	121	276	26	12	286	86	-6	+0	+0	+4	+8	0.6
2034	26	MLB CTX	TOR	60%	384	330	69	12	2	8	45	101	6	7	3	209	315	330	645	121	276	26	12	286	87	-6	+0	+0	+4	+8	0.7
2035	27	MLB CTX	TOR	62%	394	338	71	13	2	8	47	104	6	7	3	210	317	331	648	121	276	26	12	286	87	-6	+0	+0	+4	+9	0.7
2036	28	MLB CTX	TOR	63%	398	341	72	13	2	8	48	105	6	7	3	211	319	331	650	120	275	26	12	285	86	-7	+0	-0	+4	+9	0.6
2037	29	MLB CTX	TOR	65%	402	344	72	13	2	8	49	107	6	7	3	209	318	328	647	119	275	27	12	284	85	-7	+0	-1	+4	+9	0.5
2038	30	MLB CTX	TOR	65%	396	339	69	12	2	7	48	107	6	7	3	204	313	313	626	109	274	27	12	281	83	-8	+0	-1	+4	+9	0.4
2039	31	MLB CTX	TOR	65%	387	331	68	12	2	7	47	105	6	6	3	205	315	317	632	112	271	27	12	277	81	-9	+0	-2	+4	+8	0.2
2040	32	MLB CTX	TOR	65%	374	321	64	11	2	6	45	103	5	6	2	199	307	302	609	103	268	28	12	273	77	-10	+0	-2	+4	+8	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4638	3980	824	147	25	86	552	1237	69	83	35	207	314	321	635	114	275	27	12	281	81	-93	+3	-7	+50	+100	5.4
/ 162G	—	A+C		—	650	558	116	21	4	12	77	173	10	12	5	208	315	324	639	116	277	27	12	281	81	-13	+0	-1	+7	+14	0.8
Career	—	MLE		—	8069	6918	1402	252	38	144	966	2181	122	151	63	203	311	313	624	110	272	27	12	288	81	-160	+5	-10	+84	+170	9.1
/ 162G	—	MLE		—	650	557	113	20	3	12	78	176	10	12	5	203	312	314	626	111	272	27	12	288	81	-13	+0	-1	+7	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#4Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#5Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#6Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.3	4,830	87	87	206	309	318	+52	+27	8.5	7.3
/162	664	12	12	+7.1	+3.7	1.2	pk7: 6

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
Cristopher Polanco (OGILVIE)	18	20	20	50	60	179/290/249	70	261	1	4	29%	12%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Nicoll Parra 2012 · A	18	39	36→30	44→55	45	183/264/252	70	275	4	8	32%	8%	50	-2.3	197/307/251	54	268	1	18	24%	12%	67	-1.1	186/321/224	38	254	0	27	22%	14%	65	-0.4
✕Iraj Serrano 2017 · A	18	38	35→30	50	50	178/255/236	59	221	2	10	20%	8%	43	-2.8	208/295/256	48	264	1	10	19%	9%	62	-1.4	206/304/235	29	266	0	10	20%	10%	59	-0.6
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	53	200/285/268	68	260	3	9	23%	10%	61	-1.5	217/295/305	88	312	7	14	30%	10%	73	-0.6	206/286/298	92	317	9	17	35%	10%	65	-0.5
✕Eliezer Álvarez 2013 · A	18	38→48	37→45	46→55	47	183/255/256	73	241	5	11	25%	8%	47	-2.6	207/259/305	98	267	5	11	23%	6%	59	-1.7	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Nolan Beltran 2023 · A	18	44→49	35→40	45	54	202/283/260	58	244	2	7	17%	9%	59	-1.7	199/268/277	78	256	5	6	23%	8%	57	-1.8	204/291/293	90	251	7	4	20%	10%	67	-0.4
✕Kleininger Teran 2007 · A	18	43	36→30	46→45	46	204/263/271	66	266	4	5	24%	7%	52	-2.2	214/282/273	59	266	2	5	19%	8%	60	-1.6	228/286/289	61	277	1	3	17%	7%	62	-0.6
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Marco Guzman 2013 · A	18	37	35→45	47→50	47	176/257/242	66	244	2	8	26%	8%	45	-2.7	198/263/278	80	251	4	7	22%	8%	55	-2.0	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕Dario Laverde 2023 · A	18	47→33	36→40	52→30	48	216/284/291	75	264	2	11	18%	7%	65	-1.2	212/277/291	79	295	4	6	27%	7%	63	-1.4	195/258/267	73	277	4	2	29%	7%	48	-1.2
✕Michael De La Cruz 2015 · A	19	43	35→40	46→50	50	199/283/256	57	281	2	10	28%	10%	57	-1.8	188/254/253	65	290	3	9	33%	8%	45	-2.7	169/235/227	58	265	2	10	34%	7%	30	-1.3
✕Michael Chirinos 2018 · A	18	41	37→40	51→55	50	193/251/266	73	225	4	11	16%	7%	47	-2.5	226/292/296	70	250	5	13	11%	8%	69	-0.9	236/307/298	61	253	5	16	8%	9%	76	-0.2
✕Kleiber Rodriguez 2018 · A	19	37	35→30	46→40	46	175/250/234	59	244	2	5	27%	8%	40	-3.0	219/280/288	69	282	3	5	21%	7%	63	-1.4	240/298/301	61	284	2	4	15%	8%	71	-0.4
✕Ronier Lascarro 2019 · A	18	43	35→40	47→50	47	199/274/261	62	291	2	7	30%	9%	55	-1.9	201/287/276	75	282	4	9	27%	10%	63	-1.3	200/308/280	80	249	4	10	19%	12%	70	-0.4
✕Felipe Burin 2010 · A	18	42	36→40	42→45	46	198/250/263	64	243	3	5	19%	6%	45	-2.7	232/298/304	72	286	3	5	18%	8%	73	-0.6	236/304/302	66	296	2	3	19%	8%	74	-0.2
✕Deivi Estrada 2019 · A	18	40	36→30	45→50	43	190/259/260	71	280	2	10	31%	7%	49	-2.4	210/287/274	64	289	3	9	26%	9%	63	-1.4	195/270/241	46	288	2	8	30%	8%	47	-0.8

Career Stats + Projections

Career Comps

Career Path Comps