Cristopher Polanco

SS DSL Blue Jays Blue

Age 19 L/R 5'10" / 174 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1935ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Blue Jays…	222	.177/.392/.232	0	9	28	—	.101/.279/.135
2026	18	ROKDSL Blue Jays…	202	.221/.420/.315	2	7	53	—	.147/.305/.202
2027PROJMLE	19	MLBTOR	312	.182/.279/.249	2	5	55	-0.1
2028PROJ34% MLB	20	MLBTOR	54	.189/.287/.270	1	1	62	-0.1
2029PROJ48% MLB	21	MLBTOR	127	.195/.292/.286	2	2	67	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Chase%96

BB%92

wOBA58

wRC+58

Speed48

Whiff%44

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsDaniel Vellojin (age 19) · Juan Mosquera (age 19) · Michael De La Cruz (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 106 proj PA

wRC+†55

AVG/OBP/SLG.180 / .277 / .247

PA106

HR1

K%28

BB%11

ISO68

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M 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 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$1M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$1M	+$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	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	28	—	—	—	—	—	—
2026	18	ROK	DSL Blue Jays Blue	—	202	149	33	6	1	2	48	46	3	7	4	221	420	315	735	94	301	23	24	351	53	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Blue Jays Blue	—	222	178	18	4	1	0	38	71	6	9	5	101	279	135	414	34	163	32	17	210	28	—	—	—	—	—	—
2026	18	ROK MLE	DSL Blue Jays Blue	—	202	163	24	4	1	1	34	56	3	7	4	147	305	202	507	55	209	28	17	246	53	—	—	—	—	—	—
2025	17	ROK MLE	DSL Blue Jays Blue	—	222	178	18	4	1	0	38	71	6	9	5	101	279	135	414	34	168	32	17	210	28	—	—	—	—	—	—
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	28	—	—	—	—	—	—
2026	18	ROK MLE	DSL Blue Jays Blue	—	202	163	24	4	1	1	34	56	3	7	4	147	305	202	507	55	213	28	17	246	53	—	—	—	—	—	—
2026	18	ROK RAW	DSL Blue Jays Blue	—	202	149	33	6	1	2	48	46	3	7	4	221	420	315	735	94	301	23	24	351	53	—	—	—	—	—	—
2025	17	ROK MLE	DSL Blue Jays Blue	—	222	176	18	4	1	0	38	71	6	9	5	102	279	136	416	34	163	32	17	210	28	—	—	—	—	—	—
2026	18	ROK MLE	DSL Blue Jays Blue	—	202	163	24	4	1	1	34	56	3	7	4	147	305	202	507	55	209	28	17	246	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Blue Jays Blue	—	222	176	18	4	1	0	38	71	6	9	5	102	279	136	416	34	163	32	17	210	28	—	—	—	—	—	—
2026	18	ROK MLE	DSL Blue Jays Blue	—	202	163	24	4	1	1	34	56	3	7	4	147	305	202	507	55	209	28	17	246	53	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	TOR	0%	312	273	50	9	2	2	33	87	3	5	2	182	279	249	529	68	255	28	11	249	55	-17	+0	+0	+3	+7	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	TOR	34%	156	136	26	5	1	1	17	43	2	3	1	189	286	269	555	80	259	28	11	259	62	-7	+0	+0	+2	+3	-0.2
2029	21	MLB MLE	TOR	48%	263	230	45	8	2	3	28	71	3	5	2	194	291	285	576	91	262	27	11	267	67	-10	+0	+0	+3	+6	-0.2
2030	22	MLB MLE	TOR	54%	370	323	63	11	2	5	39	98	5	7	2	199	294	298	592	99	265	26	11	273	71	-13	+1	+0	+4	+8	-0.0
2031	23	MLB MLE	TOR	57%	440	385	79	14	3	7	46	115	6	8	3	203	297	308	606	105	267	26	10	278	75	-13	+0	+0	+5	+10	0.1
2032	24	MLB MLE	TOR	57%	483	424	86	15	3	8	50	125	6	9	3	206	300	317	616	110	269	26	10	282	77	-13	+1	+0	+5	+10	0.3
2033	25	MLB MLE	TOR	57%	509	445	92	16	3	9	53	132	6	10	3	207	300	319	619	112	269	26	10	283	78	-13	+1	+0	+5	+11	0.4
2034	26	MLB MLE	TOR	56%	522	457	95	17	3	10	54	136	6	10	3	207	300	319	619	113	269	26	10	283	78	-14	+1	+0	+6	+11	0.4
2035	27	MLB MLE	TOR	55%	526	460	95	17	3	9	55	137	6	10	4	206	299	317	616	111	269	26	10	282	77	-14	+0	+0	+6	+11	0.3
2036	28	MLB MLE	TOR	59%	521	456	93	16	3	9	54	137	6	9	4	204	297	312	610	108	268	26	10	280	75	-15	+0	-1	+6	+11	0.1
2037	29	MLB MLE	TOR	61%	511	447	90	16	3	8	53	136	6	8	4	202	295	306	601	104	266	27	10	276	73	-16	+0	-1	+5	+11	-0.1
2028	20	MLB CTX	TOR	34%	54	47	10	2	0	1	6	15	1	1	0	189	287	270	557	81	260	28	11	260	62	-2	+0	+0	+1	+1	-0.1
2029	21	MLB CTX	TOR	48%	127	111	22	4	1	2	13	34	2	2	1	195	292	286	578	91	263	27	10	268	67	-5	+0	+0	+1	+3	-0.1
2030	22	MLB CTX	TOR	54%	201	175	35	6	1	3	21	53	3	4	1	200	295	299	594	99	266	26	10	274	71	-7	+0	+0	+2	+4	0.0
2031	23	MLB CTX	TOR	57%	249	218	45	8	2	4	26	65	3	5	2	204	298	310	608	106	268	26	10	279	75	-8	+0	+0	+3	+5	0.1
2032	24	MLB CTX	TOR	57%	273	240	50	9	2	5	28	71	3	5	2	207	300	318	619	111	270	26	10	283	77	-7	+0	+0	+3	+6	0.2
2033	25	MLB CTX	TOR	57%	288	252	52	9	2	5	30	75	4	5	2	208	301	320	621	112	270	26	10	284	78	-8	+0	+0	+3	+6	0.2
2034	26	MLB CTX	TOR	56%	295	258	53	9	2	5	31	77	4	5	2	208	301	321	622	113	270	26	11	284	78	-8	+0	+0	+3	+6	0.2
2035	27	MLB CTX	TOR	55%	292	256	53	9	2	5	30	76	4	5	2	207	300	318	618	111	270	26	10	283	77	-8	+0	+0	+3	+6	0.2
2036	28	MLB CTX	TOR	59%	308	269	55	10	2	5	32	81	4	5	2	205	298	314	612	109	269	26	10	280	75	-9	+0	-0	+3	+7	0.1
2037	29	MLB CTX	TOR	61%	311	272	56	10	2	5	32	83	4	5	2	203	295	307	603	105	268	27	10	277	73	-10	+0	-1	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2398	2098	431	76	16	40	249	630	32	42	16	205	299	314	613	109	272	26	10	280	71	-72	+2	-1	+26	+52	0.7
/ 162G	—	A+C		—	650	569	117	21	4	11	67	171	9	11	4	206	299	315	614	109	272	26	10	280	71	-19	+1	-0	+7	+14	0.2
Career	—	MLE		—	4831	4197	824	146	29	71	532	1286	62	97	39	196	296	296	592	99	263	27	11	273	71	-136	+4	-2	+47	+95	0.9
/ 162G	—	MLE		—	650	565	112	20	4	10	72	173	8	13	5	198	298	301	599	103	265	27	11	273	71	-20	+1	-0	+7	+14	0.1

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 DSLDSL Blue Jays Blue · 202 PAwOBA .347 → .246 (−101)K% 22.8% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.77%	÷1.000	×1.220	—	—	27.78%
BB% (unintentional) /PA	23.76%	÷1.000	×0.700	—	×1.008	16.76%
HBP% /PA	1.49%	—	×0.700	—	×1.008	1.05%
Singles /BIP	23.30%	÷1.000	×0.680	×1.050	×1.008	16.76%
Doubles /BIP	5.83%	÷1.000	×0.600	×1.050	×1.008	3.70%
Triples /BIP	0.97%	÷1.000	×0.600	×1.050	×1.008	0.62%
Home runs /BIP	1.94%	÷1.000	×0.470	—	×1.008	0.92%

Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .347 → .246; ISO .094 → .057; BABIP .301 → .209. 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 DSLDSL Blue Jays Blue · 222 PAwOBA .311 → .210 (−100)K% 25.2% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.23%	÷0.968	×1.220	—	—	31.80%
BB% (unintentional) /PA	23.42%	÷0.988	×0.700	—	×1.022	16.97%
HBP% /PA	2.70%	—	×0.700	—	×1.022	1.93%
Singles /BIP	19.44%	÷1.086	×0.680	×0.960	×1.022	11.95%
Doubles /BIP	6.48%	÷1.023	×0.600	×0.960	×1.022	3.73%
Triples /BIP	0.93%	÷0.900	×0.600	×0.960	×1.022	0.61%
Home runs /BIP	0.00%	÷0.836	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 67, 1B 117, 2B 105, 3B 80, K 94, BB 98 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .311 → .210; ISO .055 → .033; BABIP .269 → .163. 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
#1Danny 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
#2Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#3Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#4Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#5Dal Maxvill'62-'75 * career totals — 12 seasons, 3,898 PA	5.9	3,898	6	7	216*	295*	283*	+38	+40	1.2	3.2
/162	664	1	1	+6.4	+6.8	0.2	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.8	2,503	41	45	204	294	309	+27	+18	2.2	2.2
/162	664	11	12	+7.1	+4.8	0.6	pk7: 2
#6Ryan 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

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)	19	20	20	50	60	180/277/247	67	255	1	2	28%	11%	55	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daniel Vellojin 2019 · A	19	38	37→45	47→45	51	180/266/253	73	238	4	6	25%	10%	51	-2.2	200/296/287	87	250	6	8	20%	10%	70	-0.8	188/295/296	108	247	11	6	26%	12%	69	-0.4
✕Juan Mosquera 2007 · A	19	37	35→30	49→55	47	176/246/232	56	244	2	15	27%	8%	38	-3.2	191/286/234	43	258	1	14	23%	11%	55	-2.0	192/299/217	25	248	0	17	20%	12%	55	-0.6
✕Michael De La Cruz 2015 · A	19	41	35→40	46→50	53	191/283/246	55	262	2	10	26%	11%	55	-1.9	187/254/251	64	288	3	9	33%	8%	45	-2.7	169/235/228	58	266	2	10	34%	7%	30	-1.3
✕Vladi Gomez 2024 · A	18	34	38→30	55→65	49	165/258/243	77	232	5	14	29%	10%	47	-2.6	177/267/241	64	248	3	28	27%	10%	49	-2.4	170/262/223	53	238	2	43	27%	10%	41	-1.0
✕Dario Laverde 2024 · A	19	46→34	37→40	52→30	50	214/292/297	83	279	3	11	23%	9%	70	-0.9	207/268/284	77	295	4	4	29%	7%	57	-1.8	196/254/265	68	282	4	0	30%	6%	45	-1.6
✕Omar Alfonzo 2023 · A	19	35→41	36→45	48→40	50	170/265/234	64	247	4	3	30%	10%	47	-2.6	207/288/311	104	312	11	4	34%	10%	72	-0.7	205/285/317	112	311	13	2	36%	9%	70	-0.6
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Carlos Rodriguez 2022 · A	19	37	39→45	46→45	53	177/289/262	85	262	6	6	31%	12%	63	-1.4	182/260/254	72	283	5	6	34%	9%	49	-2.4	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Enmanuel Terrero 2022 · A	19	41	35→45	46→55	56	189/281/251	62	237	3	9	20%	11%	56	-1.9	216/292/302	86	304	6	14	28%	9%	71	-0.8	210/285/301	91	316	8	17	33%	9%	65	-0.5
✕Rafael Ramirez Jr. 2024 · A	19	39	39→40	51→45	52	184/289/271	87	279	5	10	32%	12%	64	-1.3	183/279/280	97	312	6	8	38%	11%	62	-1.4	181/284/294	113	294	8	6	37%	12%	65	-0.6
✕Henry Pena 2010 · A	19	37	37→40	45	49	177/263/255	78	261	4	5	31%	10%	51	-2.3	198/271/294	96	333	7	6	39%	9%	61	-1.5	204/277/339	135	307	13	8	35%	8%	70	-0.1
✕Nicoll Parra 2013 · A	19	39	34→30	48→55	61	178/305/231	53	239	1	16	23%	14%	63	-1.4	196/301/249	53	251	2	17	20%	11%	64	-1.3	167/318/192	26	207	0	34	16%	16%	58	-0.5
✕German Ortiz 2024 · A	19	39	34→30	51→45	50	182/271/231	49	265	1	6	29%	10%	48	-2.5	198/266/260	62	292	3	5	30%	8%	51	-2.2	191/252/252	60	284	3	3	31%	7%	41	-1.0
✕Jose Perez 2023 · A	19	39	35→40	43→45	54	182/271/240	59	231	2	8	21%	10%	50	-2.3	194/308/276	82	256	4	6	23%	13%	73	-0.6	178/308/258	80	234	4	5	22%	14%	67	-0.4
✕Luis Valenzuela 2013 · A	19	41	37→45	51→45	45	196/255/276	80	259	4	6	25%	7%	51	-2.3	211/250/290	79	273	4	8	23%	5%	51	-2.2	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕Narciso Polanco 2024 · A	19	38→42	36→40	47→55	46	182/256/247	65	259	3	8	29%	8%	45	-2.7	193/266/277	84	267	6	17	27%	8%	55	-1.9	193/266/281	89	260	6	21	27%	8%	54	-1.6
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6
✕Pedro Ruiz 2011 · A	19	38	34→30	48→50	57	174/286/230	56	237	1	9	24%	12%	55	-2.0	206/287/262	56	304	2	11	29%	10%	60	-1.6	206/281/258	52	313	1	11	32%	9%	54	-1.0
✕Willian Berti 2024 · A	18	39	36→40	45→40	51	184/277/252	68	253	4	5	27%	10%	55	-1.9	174/276/249	75	247	5	5	28%	11%	55	-2.0	136/272/212	76	189	5	4	28%	14%	45	-0.7
✕Victor Nova 2019 · A	19	38	37→40	50	55	180/281/251	71	242	4	10	25%	12%	57	-1.8	199/278/269	70	293	4	11	30%	9%	59	-1.7	171/252/236	65	268	4	11	34%	9%	39	-1.2

Cristopher Polanco

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps