Maykel Minoso

C FCL Blue Jays

Age 22 R/R 5'9" / 170 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1466ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	18	ROKTOR	190	.278/.374/.315	0	1	30	—	.173/.257/.190
2024	19	A/ROKTOR	152	.179/.267/.246	1	6	4	—	.144/.207/.202
2025	20	ROKTOR	128	.162/.307/.200	0	0	3	—	.115/.213/.142
2027PROJMLE	22	MLBTOR	238	.213/.279/.299	2	3	64	0.0
2028PROJ34% MLB	23	MLBTOR	32	.218/.284/.315	0	0	69	0.0
2029PROJ46% MLB	24	MLBTOR	77	.222/.288/.328	1	1	74	0.1

Next 3 projected WAR 0.1Projected 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 2025 Rk

Whiff%96

K%86

Z-Con%84

BB%69

Chase%59

wRC+16

CompsAaron McKeithan (age 22) · Blake Hunt (age 22) · Francisco Acuna (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†64

AVG/OBP/SLG.211 / .276 / .296

PA56

HR1

K%25

BB%7

ISO86

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · Contract

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	+0.1	$0.2M	+$0.0M (cut)
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.7M	+$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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2022	17	ROK	DSL Blue Jays	—	39	31	5	0	0	0	8	13	0	0	0	161	333	161	495		278	33	21	259	4	—	—	—	—	—	—
2023	18	ROK	DSL Blue Jays	—	190	162	45	6	0	0	22	16	3	1	1	278	374	315	689	37	302	8	12	319	30	—	—	—	—	—	—
2024	19	A	Dunedin Blue Jays	—	35	33	4	1	0	0	2	8	0	0	1	121	171	152	323	30	160	23	6	154	-27	—	—	—	—	—	—
2024	19	ROK	FCL Blue Jays	—	117	101	20	3	1	1	13	15	1	6	0	198	296	277	573	79	218	13	11	264	13	—	—	—	—	—	—
2025	20	ROK	FCL Blue Jays	—	128	105	17	4	0	0	21	18	1	0	1	162	307	200	507	38	193	14	16	252	3	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Blue Jays	—	39	33	3	0	0	0	6	16	0	0	0	91	231	91	322		191	41	15	174	4	—	—	—	—	—	—
2023	18	ROK MLE	DSL Blue Jays	—	190	168	29	3	0	0	16	19	3	1	1	173	257	190	447	18	190	10	8	213	30	—	—	—	—	—	—
2024	19	A MLE	Dunedin Blue Jays	—	35	33	4	1	0	0	2	10	0	0	1	121	171	152	323	30	155	29	6	128	-27	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	117	106	16	2	1	1	8	21	1	6	0	151	217	217	434	66	164	18	7	187	13	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	128	113	13	3	0	0	13	26	1	0	1	115	213	142	354	27	144	20	10	172	3	—	—	—	—	—	—
2022	17	ROK MLE	DSL Blue Jays	—	39	33	3	0	0	0	6	16	0	0	0	91	231	91	322		176	41	15	174	4	—	—	—	—	—	—
2022	17	ROK RAW	DSL Blue Jays	—	39	31	5	0	0	0	8	13	0	0	0	161	333	161	495		278	33	21	259	4	—	—	—	—	—	—
2023	18	ROK MLE	DSL Blue Jays	—	190	168	29	3	0	0	16	19	3	1	1	173	257	190	447	18	191	10	8	213	30	—	—	—	—	—	—
2023	18	ROK RAW	DSL Blue Jays	—	190	162	45	6	0	0	22	16	3	1	1	278	374	315	689	37	302	8	12	319	30	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	152	140	20	3	1	1	9	32	1	6	1	143	200	200	400	57	174	21	6	173	4	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	152	134	24	4	1	1	15	23	1	6	1	179	267	246	513	67	205	15	10	239	4	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	128	113	13	3	0	0	13	26	1	0	1	115	213	142	354	27	148	20	10	172	3	—	—	—	—	—	—
2025	20	ROK RAW	FCL Blue Jays	—	128	105	17	4	0	0	21	18	1	0	1	162	307	200	507	38	193	14	16	252	3	—	—	—	—	—	—
2022	17	ROK MLE	DSL Blue Jays	—	39	33	3	0	0	0	6	16	0	0	0	91	231	91	322		191	41	15	174	4	—	—	—	—	—	—
2023	18	ROK MLE	DSL Blue Jays	—	190	169	29	3	0	0	16	19	3	1	1	172	257	189	446	18	190	10	8	213	30	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	152	141	20	3	1	1	9	32	1	6	1	142	200	199	399	57	162	21	6	173	4	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	128	113	13	3	0	0	13	26	1	0	1	115	213	142	354	27	144	20	10	172	3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	2 teams	—	152	141	20	3	1	1	9	32	1	6	1	142	200	199	399	57	162	21	6	173	4	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	128	113	13	3	0	0	13	26	1	0	1	115	213	142	354	27	144	20	10	172	3	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TOR	0%	238	216	46	8	2	2	18	60	2	3	1	213	279	299	578	86	281	25	8	263	64	-10	+0	+0	+4	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TOR	34%	93	85	18	3	1	1	7	23	1	1	0	217	283	314	597	96	283	25	8	271	69	-3	+0	+0	+2	+2	0.0
2029	24	MLB MLE	TOR	46%	167	151	34	6	1	3	13	41	1	2	1	221	287	326	614	105	284	25	8	277	74	-5	+0	+0	+3	+4	0.1
2030	25	MLB MLE	TOR	52%	235	213	48	8	2	4	18	58	2	3	1	224	290	336	626	112	285	25	8	282	77	-6	+0	+0	+4	+5	0.3
2031	26	MLB MLE	TOR	54%	292	265	61	11	2	6	23	72	2	4	1	225	292	343	635	118	285	25	8	286	80	-7	+0	+0	+5	+6	0.5
2032	27	MLB MLE	TOR	54%	324	293	66	12	2	6	25	80	3	4	1	225	293	344	636	118	285	25	8	286	80	-8	+0	+0	+6	+7	0.6
2033	28	MLB MLE	TOR	54%	340	308	68	12	2	6	26	84	3	3	1	223	291	339	629	115	284	25	8	284	78	-9	+0	-1	+6	+7	0.4
2034	29	MLB MLE	TOR	53%	341	309	68	12	2	6	26	85	3	2	1	221	288	332	620	112	282	25	8	280	75	-10	+0	-1	+6	+7	0.2
2035	30	MLB MLE	TOR	52%	336	305	67	12	2	6	26	85	2	1	1	218	284	325	609	107	280	25	8	275	72	-11	-0	-2	+6	+7	-0.0
2028	23	MLB CTX	TOR	34%	32	30	6	1	0	0	2	8	0	0	0	218	284	315	600	97	284	25	6	272	69	-1	+0	+0	+1	+1	0.0
2029	24	MLB CTX	TOR	46%	77	70	16	3	1	1	6	19	1	1	0	222	288	328	616	106	285	25	8	278	74	-2	+0	+0	+1	+2	0.1
2030	25	MLB CTX	TOR	52%	121	110	24	4	1	2	9	30	1	2	0	225	291	337	628	113	286	25	7	283	77	-3	+0	+0	+2	+3	0.2
2031	26	MLB CTX	TOR	54%	158	144	33	6	1	3	12	39	1	2	1	226	293	344	637	118	286	25	8	287	80	-4	+0	+0	+3	+3	0.2
2032	27	MLB CTX	TOR	54%	176	159	35	6	1	3	14	43	1	2	1	226	294	345	638	119	286	24	8	287	80	-4	+0	+0	+3	+4	0.3
2033	28	MLB CTX	TOR	54%	184	167	37	7	1	3	14	46	1	2	1	224	292	340	632	116	285	25	8	284	78	-5	+0	-0	+3	+4	0.2
2034	29	MLB CTX	TOR	53%	181	164	36	6	1	3	14	45	1	1	0	222	289	334	622	112	283	25	8	281	75	-5	+0	-1	+3	+4	0.1
2035	30	MLB CTX	TOR	52%	176	160	35	6	1	3	13	45	1	0	0	219	285	326	611	107	282	26	7	276	72	-6	+0	-1	+3	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1105	1004	222	39	7	18	84	275	7	10	3	221	286	328	614	107	285	25	8	282	64	-31	+1	-2	+20	+24	1.2
/ 162G	—	A+C		—	650	591	131	23	4	11	49	162	4	6	2	222	286	330	616	108	284	25	8	282	64	-18	+0	-1	+12	+14	0.7
Career	—	MLE		—	2693	2435	506	87	15	40	212	635	22	28	10	208	277	305	582	97	262	24	8	263	64	-62	+1	-4	+39	+47	2.2
/ 162G	—	MLE		—	650	588	123	21	4	10	51	153	5	7	2	209	278	310	587	100	263	24	8	263	64	-19	+0	-1	+12	+14	0.6

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.

2025 ROKFCL Blue Jays · 128 PAwOBA .249 → .172 (−77)K% 14.1% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.06%	÷1.002	×1.440	—	—	20.22%
BB% (unintentional) /PA	16.41%	÷1.001	×0.620	—	×0.995	10.11%
HBP% /PA	0.78%	—	×0.720	—	×0.995	0.56%
Singles /BIP	14.94%	÷1.038	×0.820	×0.956	×0.995	11.23%
Doubles /BIP	4.60%	÷0.956	×0.720	×0.956	×0.995	3.29%
Triples /BIP	0.00%	÷1.150	×0.720	×0.956	×0.995	0.00%
Home runs /BIP	0.00%	÷1.077	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 108, 2B 91, 3B 130, K 100, BB 100 — 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 ×0.956.

Result: wOBA .249 → .172; ISO .038 → .028; BABIP .193 → .144. 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).

2024 ROKFCL Blue Jays · 117 PAwOBA .263 → .187 (−76)K% 12.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.82%	÷1.009	×1.440	—	—	18.30%
BB% (unintentional) /PA	11.11%	÷1.042	×0.620	—	×1.008	6.66%
HBP% /PA	0.85%	—	×0.720	—	×1.008	0.62%
Singles /BIP	17.44%	÷1.016	×0.820	×0.951	×1.008	13.49%
Doubles /BIP	3.49%	÷1.012	×0.720	×0.951	×1.008	2.38%
Triples /BIP	1.16%	÷1.150	×0.720	×0.951	×1.008	0.70%
Home runs /BIP	1.16%	÷0.925	×0.780	—	×1.008	0.99%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 103, 2B 102, 3B 130, K 102, BB 108 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .263 → .187; ISO .079 → .058; BABIP .218 → .164. 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).

2024 ADunedin Blue Jays · 35 PAwOBA .150 → .128 (−23)K% 22.9% → 29.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.86%	÷1.041	×1.360	—	—	29.87%
BB% (unintentional) /PA	5.71%	÷0.959	×0.690	—	×1.045	4.30%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	12.00%	÷0.962	×0.920	—	×1.045	11.99%
Doubles /BIP	4.00%	÷0.999	×0.830	—	×1.045	3.47%
Triples /BIP	0.00%	÷1.150	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.003	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 92, 2B 100, 3B 130, K 108, BB 92 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .150 → .128; ISO .030 → .024; BABIP .160 → .155. 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).

2023 DSLDSL Blue Jays · 190 PAwOBA .316 → .213 (−104)K% 8.4% → 10.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.42%	÷1.014	×1.220	—	—	10.13%
BB% (unintentional) /PA	11.58%	÷0.979	×0.700	—	×1.008	8.34%
HBP% /PA	1.58%	—	×0.700	—	×1.008	1.11%
Singles /BIP	26.71%	÷1.016	×0.680	×0.952	×1.008	17.15%
Doubles /BIP	4.11%	÷1.059	×0.600	×0.952	×1.008	2.23%
Triples /BIP	0.00%	÷0.900	×0.600	×0.952	×1.008	0.00%
Home runs /BIP	0.00%	÷1.083	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 103, 2B 112, 3B 80, K 103, BB 96 — 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 ×0.952.

Result: wOBA .316 → .213; ISO .037 → .021; BABIP .302 → .190. 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).

2022 DSLDSL Blue Jays · 39 PAwOBA .254 → .174 (−80)K% 33.3% → 40.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.008	×1.220	—	—	40.36%
BB% (unintentional) /PA	20.51%	÷1.034	×0.700	—	×1.022	14.20%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	27.78%	÷1.011	×0.680	—	×1.022	19.11%
Doubles /BIP	0.00%	÷0.960	×0.600	—	×1.022	0.00%
Triples /BIP	0.00%	÷1.000	×0.600	—	×1.022	0.00%
Home runs /BIP	0.00%	÷1.130	×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 126, 1B 102, 2B 92, 3B 100, K 102, BB 107 — 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).

Result: wOBA .254 → .174; ISO .000 → .000; BABIP .278 → .191. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
#4Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
/162	664	11	0	+11.4	-0.0	0.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.8	1,162	20	11	223	286	335	+21	+20	2.0	2.0
/162	664	12	6	+11.9	+11.4	1.2	pk7: 2
#5Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#6Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	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
Maykel Minoso (OGILVIE)	22	—	—	—	—	211/276/296	85	281	1	1	25%	7%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/293/300	81	280	8	4	23%	7%	72	-0.7	211/298/265	54	265	5	1	21%	8%	64	-0.3
✕Blake Hunt 2021 · A	22	42	40→50	49→40	44	206/262/301	95	270	7	6	26%	6%	59	-1.6	193/252/308	115	279	11	4	33%	6%	58	-1.7	215/280/358	143	272	16	1	27%	7%	77	-0.1
✕Francisco Acuna 2022 · A	22	38→47	39→45	48→50	45	184/277/270	87	267	6	10	31%	8%	60	-1.6	204/274/301	97	277	7	11	27%	6%	65	-1.2	213/284/310	97	279	9	16	25%	7%	68	-0.5
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	290	5	6	30%	6%	55	-2.0	200/254/277	77	265	5	3	25%	5%	51	-2.3	195/253/281	87	245	8	0	23%	5%	49	-0.8
✕Gilberto Vizcarra 2021 · A	22	43	36→45	50→40	46	202/265/271	69	260	4	5	23%	7%	53	-2.1	217/264/312	95	267	7	4	21%	5%	62	-1.4	233/269/347	114	277	11	0	20%	4%	71	-0.4
✕Javier Valdes 2021 · A	22	40	37→55	50→30	45	190/265/263	73	265	4	7	28%	8%	53	-2.1	210/293/324	114	277	11	5	27%	8%	78	-0.3	206/302/346	140	255	16	3	25%	9%	84	+0.1
✕Aramis Garcia 2015 · A	22	44→42	38→50	49→45	45	207/268/289	81	284	4	6	27%	7%	59	-1.7	212/264/332	120	287	14	3	30%	6%	68	-1.0	213/253/349	135	283	17	0	31%	4%	65	-0.7
✕Alexis Wilson 2019 · A	22	40	38→40	48→30	45	194/260/273	78	263	5	4	27%	8%	53	-2.1	219/269/310	91	281	9	5	24%	6%	63	-1.3	222/267/302	80	270	10	1	21%	5%	58	-0.6
✕Robert Mullen 2018 · A	22	43	38→50	51→45	46	203/268/288	85	276	4	6	27%	8%	58	-1.7	214/263/324	110	299	11	4	31%	5%	65	-1.2	211/252/341	130	285	17	0	32%	3%	63	-0.6
✕Ramon Mendoza 2023 · A	22	40→50	37→45	48→45	45	190/266/265	75	277	4	7	31%	8%	53	-2.1	214/286/312	98	294	8	5	28%	8%	72	-0.7	232/310/341	109	301	10	3	24%	9%	83	+0.1
✕Nick Fortes 2019 · A	22	43→45	37→45	49→45	50	200/268/274	74	240	4	6	18%	8%	55	-1.9	201/265/295	94	250	8	5	22%	6%	59	-1.6	221/288/344	123	250	15	8	18%	6%	79	-0.1
✕Steven Baron 2013 · A	22	39	41→45	50	37	194/232/294	100	263	8	10	29%	4%	46	-2.6	197/236/287	90	278	6	9	30%	5%	45	-2.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Tomás Nido 2015 · A	21	44→45	39→45	49→30	43	213/268/301	88	286	6	7	27%	6%	61	-1.5	234/265/337	103	307	9	2	26%	4%	68	-1.0	244/279/354	110	291	9	0	19%	4%	75	-0.3
✕Andy Paz 2015 · A	22	37	38→40	45	45	183/243/257	74	248	5	5	28%	7%	42	-2.9	217/271/283	66	297	4	6	26%	7%	58	-1.7	245/291/294	49	311	2	7	21%	6%	64	-0.4
✕Ronarsy Ledesma 2015 · A	22	44	41→45	47→50	41	212/262/314	102	269	7	9	24%	5%	62	-1.4	199/246/283	84	329	7	7	39%	5%	49	-2.4	179/223/234	55	313	7	10	43%	4%	26	-1.3
✕Wynston Sawyer 2014 · A	22	41	42→45	47→45	46	204/266/305	102	255	9	3	24%	7%	62	-1.4	214/278/311	97	270	8	5	23%	7%	68	-1.0	223/309/335	112	282	10	2	23%	8%	83	+0.0
✕Eric Fryer 2008 · A	22	38→48	40→45	45→50	42	190/244/278	87	251	7	7	27%	6%	47	-2.5	242/300/353	111	312	9	10	24%	7%	86	+0.3	247/311/363	116	318	9	11	24%	7%	88	+0.3
✕Glenn Santiago 2023 · A	22	42	41→40	46→45	40	203/258/299	95	286	8	8	31%	6%	57	-1.8	200/263/285	85	289	7	9	31%	7%	56	-1.9	185/254/258	73	266	7	8	31%	7%	46	-1.1
✕Danny Mendick 2016 · A	22	41→47	42→45	50	45	204/261/304	99	246	10	9	21%	6%	60	-1.6	207/263/297	90	260	7	9	22%	6%	59	-1.7	237/296/342	105	299	11	4	23%	7%	81	-0.0
✕Stevie Berman 2017 · A	22	45	37→45	48→40	45	211/277/283	72	278	4	6	24%	7%	61	-1.5	211/270/298	87	265	7	4	22%	6%	61	-1.5	204/292/318	114	244	13	2	21%	9%	73	-0.1

Maykel Minoso

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps