Kennew Blanco

SS FCL Blue Jays

Age 21 R/R 6'3" / 205 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2061ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	ROKDSL Blue Jays…	237	.274/.345/.377	3	2	28	—	.174/.234/.229
2026	20	ROKTOR	187	.232/.326/.311	1	14	28	—	.169/.235/.221
2027PROJMLE	21	MLBTOR	297	.212/.268/.293	3	4	58	-0.1
2028PROJ34% MLB	22	MLBTOR	49	.218/.274/.309	1	1	64	-0.0
2029PROJ48% MLB	23	MLBTOR	110	.221/.278/.320	2	2	68	-0.0

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

Speed85

K%71

Z-Con%61

Whiff%59

ISO30

BB%22

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsArgenis Diaz (age 21) · Alfredo Lopez (age 21) · Emerson Landoni (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 97 proj PA

wRC+†58

AVG/OBP/SLG.211 / .265 / .290

PA97

HR1

K%26

BB%6

ISO80

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 50 / POW 25

Toolsscout grade

CONTACT50

scouting grade only

POWER25

scouting grade only

EYE25

scouting grade only

SPEED40

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	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.2M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.4M	+$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	19	ROK	DSL Blue Jays Red	—	237	212	58	11	1	3	17	27	6	2	3	274	345	377	722	104	299	11	7	326	28	—	—	—	—	—	—
2026	20	ROK	FCL Blue Jays	—	187	164	38	6	2	1	21	32	2	14	0	232	326	311	637	79	282	17	11	296	28	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	ROK MLE	DSL Blue Jays Red	—	237	218	38	7	1	1	11	34	6	2	3	174	234	229	463	55	195	14	5	210	28	—	—	—	—	—	—
2026	20	ROK MLE	FCL Blue Jays	—	187	172	29	4	1	1	13	46	2	14	0	169	235	221	456	52	228	25	7	210	28	—	—	—	—	—	—
2025	19	ROK MLE	DSL Blue Jays Red	—	237	218	38	7	1	1	11	34	6	2	3	174	234	229	463	55	200	14	5	210	28	—	—	—	—	—	—
2025	19	ROK RAW	DSL Blue Jays Red	—	237	212	58	11	1	3	17	27	6	2	3	274	345	377	722	104	299	11	7	326	28	—	—	—	—	—	—
2026	20	ROK MLE	FCL Blue Jays	—	187	172	29	4	1	1	13	46	2	14	0	169	235	221	456	52	224	25	7	210	28	—	—	—	—	—	—
2026	20	ROK RAW	FCL Blue Jays	—	187	164	38	6	2	1	21	32	2	14	0	232	326	311	637	79	282	17	11	296	28	—	—	—	—	—	—
2025	19	ROK MLE	DSL Blue Jays Red	—	237	218	38	7	1	1	11	34	6	2	3	174	234	229	463	55	195	14	5	210	28	—	—	—	—	—	—
2026	20	ROK MLE	FCL Blue Jays	—	187	170	29	4	1	1	13	46	2	14	0	171	235	224	459	53	228	25	7	210	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	ROK MLE	DSL Blue Jays Red	—	237	218	38	7	1	1	11	34	6	2	3	174	234	229	463	55	195	14	5	210	28	—	—	—	—	—	—
2026	20	ROK MLE	FCL Blue Jays	—	187	170	29	4	1	1	13	46	2	14	0	171	235	224	459	53	228	25	7	210	28	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TOR	0%	297	275	58	10	2	3	17	76	3	4	1	212	268	293	560	80	281	26	6	254	58	-15	+0	+0	+3	+6	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TOR	34%	143	131	29	5	1	2	9	36	2	2	1	217	273	307	580	90	283	25	6	262	64	-6	+0	+0	+2	+3	-0.2
2029	23	MLB MLE	TOR	48%	226	208	46	8	2	3	14	56	2	3	1	220	278	319	596	98	284	25	6	269	68	-9	+0	+0	+2	+5	-0.1
2030	24	MLB MLE	TOR	53%	309	283	63	11	2	5	20	77	3	4	1	223	281	328	609	105	286	25	6	274	72	-10	+0	+0	+3	+7	0.0
2031	25	MLB MLE	TOR	55%	362	332	74	13	2	6	23	89	4	5	1	225	284	334	618	109	286	25	6	278	74	-11	+1	+0	+4	+8	0.1
2032	26	MLB MLE	TOR	56%	392	359	81	14	3	7	26	96	4	5	1	226	286	339	625	113	286	24	7	281	76	-11	+1	+0	+4	+8	0.2
2033	27	MLB MLE	TOR	55%	406	372	84	15	3	7	27	100	4	5	1	225	285	336	621	111	286	25	7	279	75	-12	+1	+0	+4	+9	0.2
2034	28	MLB MLE	TOR	55%	408	374	84	15	3	7	27	102	4	5	1	223	283	332	615	109	285	25	7	277	73	-13	+1	-1	+4	+9	0.0
2035	29	MLB MLE	TOR	53%	402	369	82	14	3	7	26	101	4	4	1	221	280	326	606	105	284	25	6	273	71	-14	+0	-1	+4	+9	-0.2
2036	30	MLB MLE	TOR	53%	392	360	79	14	2	6	25	100	4	4	2	218	277	319	596	101	282	26	6	269	68	-15	+0	-2	+4	+8	-0.4
2028	22	MLB CTX	TOR	34%	49	45	10	2	0	1	3	12	1	1	0	218	274	309	583	91	284	24	6	263	64	-2	+0	+0	+1	+1	-0.0
2029	23	MLB CTX	TOR	48%	110	101	23	4	1	2	7	27	1	2	0	221	278	320	599	99	286	25	6	270	68	-4	+0	+0	+1	+2	-0.0
2030	24	MLB CTX	TOR	53%	163	150	34	6	1	3	10	40	2	2	1	224	282	329	611	105	287	25	6	275	72	-5	+0	+0	+2	+4	-0.0
2031	25	MLB CTX	TOR	55%	198	181	40	7	1	3	13	49	2	3	1	226	285	336	620	110	287	25	7	279	74	-6	+0	+0	+2	+4	0.1
2032	26	MLB CTX	TOR	56%	218	200	46	8	2	4	14	53	2	3	1	227	287	340	627	113	287	24	6	281	76	-6	+0	+0	+2	+5	0.1
2033	27	MLB CTX	TOR	55%	223	204	47	8	2	4	15	55	2	3	1	226	286	338	623	112	287	25	7	280	75	-7	+0	+0	+2	+5	0.1
2034	28	MLB CTX	TOR	55%	223	204	46	8	1	4	15	55	2	2	1	224	284	333	617	109	286	25	7	278	73	-7	+0	-0	+2	+5	-0.0
2035	29	MLB CTX	TOR	53%	214	196	43	8	1	3	14	54	2	2	1	222	281	328	609	106	285	25	7	274	71	-7	+0	-1	+2	+5	-0.1
2036	30	MLB CTX	TOR	53%	206	189	41	7	1	3	13	53	2	2	1	219	278	320	598	101	284	26	6	270	68	-8	+0	-1	+2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1604	1470	330	58	10	27	104	398	16	20	7	224	283	333	616	108	288	25	6	276	66	-53	+1	-2	+17	+35	-0.2
/ 162G	—	A+C		—	650	596	134	24	4	11	42	161	6	8	3	225	282	334	616	109	288	25	6	276	66	-21	+0	-1	+7	+14	-0.1
Career	—	MLE		—	3561	3268	708	123	24	53	227	862	40	54	13	217	276	318	593	101	276	24	6	266	66	-106	+4	-4	+34	+68	-0.5
/ 162G	—	MLE		—	650	597	129	22	4	10	41	157	7	10	2	216	274	317	591	101	275	24	6	266	66	-22	+1	-1	+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 ROKFCL Blue Jays · 187 PAwOBA .289 → .210 (−79)K% 17.1% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.11%	÷1.000	×1.440	—	—	24.64%
BB% (unintentional) /PA	11.23%	÷1.000	×0.620	—	×0.995	6.93%
HBP% /PA	1.07%	—	×0.720	—	×0.995	0.77%
Singles /BIP	21.97%	÷1.000	×0.820	×1.018	×0.995	18.25%
Doubles /BIP	4.55%	÷1.000	×0.720	×1.018	×0.995	3.32%
Triples /BIP	1.52%	÷1.000	×0.720	×1.018	×0.995	1.11%
Home runs /BIP	0.76%	÷1.000	×0.780	—	×0.995	0.59%

Factors used: level-wide ROK 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 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 ×1.018.

Result: wOBA .289 → .210; ISO .079 → .056; BABIP .282 → .228. 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 Red · 237 PAwOBA .318 → .210 (−109)K% 11.4% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.39%	÷0.980	×1.220	—	—	14.19%
BB% (unintentional) /PA	6.75%	÷0.994	×0.700	—	×0.995	4.73%
HBP% /PA	2.53%	—	×0.700	—	×0.995	1.76%
Singles /BIP	23.24%	÷1.002	×0.680	×0.995	×0.995	15.63%
Doubles /BIP	5.95%	÷0.970	×0.600	×0.995	×0.995	3.64%
Triples /BIP	0.54%	÷1.017	×0.600	×0.995	×0.995	0.32%
Home runs /BIP	1.62%	÷0.957	×0.470	—	×0.995	0.79%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 103, K 96, BB 99 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .318 → .210; ISO .104 → .059; BABIP .299 → .195. 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
#1Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#2John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#3Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
/162	664	5	14	+5.7	+6.0	0.9	pk7: 4
#4Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	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 6 projected seasons	2.6	1,702	27	21	223	279	329	+18	+18	0.9	1.0
/162	664	11	8	+7.1	+7.0	0.4	pk7: 1
#6Benji Gil'93-'03 * career totals — 7 seasons, 1,767 PA	2.7	1,767	32	24	227*	272*	349*	+10	+30	0.6	1.0
/162	664	12	9	+3.8	+11.3	0.2	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
Kennew Blanco (OGILVIE)	21	50	25	40	25	211/265/290	79	281	1	1	26%	6%	58	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Argenis Diaz 2008 · A	21	49→55	36→40	43→50	42	227/277/302	75	304	3	6	25%	6%	64	-1.3	238/278/302	64	325	2	6	26%	5%	64	-1.3	244/290/300	56	319	1	7	22%	6%	65	-0.9
✕Alfredo Lopez 2011 · A	21	48	37→30	44→50	45	226/291/297	71	291	4	7	23%	7%	69	-0.9	239/304/300	61	304	3	13	21%	7%	74	-0.5	235/280/279	45	285	1	20	17%	5%	56	-0.6
✕Emerson Landoni 2010 · A	21	46→56	37→40	45	46	218/283/290	73	282	5	7	24%	7%	65	-1.2	231/275/306	75	294	5	8	22%	5%	64	-1.3	259/302/329	70	307	3	4	16%	5%	76	-0.3
✕Dawel Lugo 2016 · A	21	48→55	37→45	41→45	37	228/255/299	71	289	5	4	23%	3%	55	-2.0	249/275/354	105	291	9	5	18%	3%	76	-0.4	257/284/364	107	302	8	6	17%	3%	79	-0.2
✕Jon Gilmore 2010 · A	21	50→59	37→40	41→30	40	238/268/313	75	297	5	3	22%	4%	63	-1.4	251/286/331	80	324	5	2	23%	4%	74	-0.5	260/295/334	74	338	4	0	23%	4%	76	-0.2
✕Yeison Santana 2022 · A	21	43	37→30	45→55	39	200/262/271	71	316	5	10	36%	7%	52	-2.2	221/289/285	64	313	3	15	28%	8%	66	-1.1	229/310/271	42	311	2	22	24%	10%	67	-0.6
✕Jacob Gonzalez 2019 · A	21	44→50	39→40	43→40	38	211/261/296	86	279	7	5	26%	4%	58	-1.7	201/252/294	93	256	9	3	24%	5%	54	-2.0	211/261/303	93	254	11	1	21%	4%	59	-1.0
✕Randy César 2016 · A	21	39→49	38→40	40	40	191/243/266	75	268	6	2	30%	6%	44	-2.8	214/255/298	84	323	8	3	34%	5%	55	-1.9	237/283/328	91	347	8	2	32%	6%	69	-0.6
✕Juan Fernandez 2019 · A	20	43→53	39→40	39→50	44	205/264/289	84	263	6	4	24%	6%	57	-1.8	211/270/305	94	274	8	5	25%	6%	63	-1.3	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Yeltsin Gudino 2018 · A	21	46→49	36→30	42→40	44	217/269/276	60	269	3	4	20%	5%	56	-1.9	229/280/279	50	281	2	5	18%	6%	60	-1.6	232/283/261	29	281	1	5	17%	6%	56	-1.0
✕Imeldo Diaz 2019 · A	21	44	41→40	46→45	41	215/264/307	91	269	9	5	23%	5%	61	-1.5	231/265/311	80	306	5	5	25%	4%	61	-1.5	238/261/300	62	316	3	2	25%	2%	55	-0.6
✕Omar Luna 2008 · A	21	46→56	38→30	48→50	40	221/256/301	80	278	4	10	22%	4%	56	-1.9	212/238/271	59	264	2	11	20%	3%	41	-3.0	259/290/315	56	300	2	12	14%	3%	68	-0.6
✕Ali Sánchez 2018 · A	21	46	35→45	42→40	43	218/261/273	55	266	4	6	19%	5%	51	-2.2	229/267/310	81	276	6	4	18%	5%	63	-1.4	247/298/343	95	318	11	1	25%	7%	79	-0.1
✕Anyesber Sivira 2021 · A	21	44	37→30	46→55	41	207/282/279	72	279	5	7	26%	6%	63	-1.4	218/283/318	100	309	9	7	31%	6%	72	-0.7	224/291/332	108	326	13	3	33%	6%	75	-0.2
✕Alex Monsalve 2013 · A	21	46→52	39→40	42→40	41	224/262/309	84	281	6	4	23%	4%	60	-1.6	228/268/327	99	288	8	4	23%	4%	67	-1.1	226/266/297	71	279	5	0	20%	4%	57	-0.4
✕Kenneth Betancourt 2022 · A	22	40→50	35→30	44→50	38	193/232/253	60	274	3	8	30%	5%	36	-3.4	236/279/307	71	306	4	9	23%	5%	66	-1.1	248/290/313	65	315	4	10	21%	5%	69	-0.6
✕Rayner Contreras 2008 · A	21	47	41→40	45→50	42	228/274/327	99	295	9	7	25%	6%	69	-0.9	230/288/312	82	303	5	11	24%	6%	72	-0.7	252/307/308	55	348	0	13	26%	6%	72	-0.2
✕Hector Martinez 2018 · A	21	46	36→40	43→45	37	219/263/287	68	301	3	9	28%	4%	55	-1.9	216/254/330	114	325	10	8	35%	4%	63	-1.4	245/259/406	162	376	11	13	37%	1%	77	-0.1
✕Jose Garcia 2009 · A	21	41→51	36→40	42→55	46	191/250/255	64	240	3	8	21%	6%	45	-2.7	236/280/308	72	292	4	18	20%	5%	67	-1.1	253/296/322	69	311	5	22	19%	5%	73	-0.5
✕D'Marcus Ingram 2009 · A	21	47→54	37→40	45→50	46	222/283/289	67	276	6	13	21%	6%	64	-1.3	229/291/313	84	295	5	16	22%	7%	73	-0.6	236/300/325	89	308	4	20	23%	7%	76	-0.2

Kennew Blanco

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps