Nicandro Aybar

3B Charleston RiverDogs

Age 22 S/R 6'1" / 170 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	ROKTB	114	.323/.407/.364	0	6	57	—	.240/.301/.269
2025	20	INTLPerth Heat	129	.267/.312/.400	4	2	100	—
2026	21	A+TB	126	.315/.389/.360	0	1	75	—	.263/.310/.297
2026	21	ATB	287	.231/.311/.279	0	10	40	—	.202/.261/.244
2027PROJ0% MLB	22	MLBTB	519	.221/.277/.269	1	9	56	-0.7
2028PROJ34% MLB	23	MLBTB	156	.230/.287/.295	1	3	64	-0.3
2029PROJ46% MLB	24	MLBTB	226	.234/.292/.314	2	4	71	-0.2

Next 3 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

Z-Con%79

Whiff%77

K%73

wRC+58

wOBA56

BB%47

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 96%

CompsBengie González (age 22) · Ramiro Pena (age 22) · Danny Mars (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 320 proj PA

wRC+†56

AVG/OBP/SLG.219 / .275 / .267

PA320

HR0

SB5

K%22

BB%7

ISO48

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 61 / POW 33

Toolsscout grade

CONTACT61

scouting grade only

POWER33

scouting grade only

EYE50

scouting grade only

SPEED54

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
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	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
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		$-1.0M	+$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 = actual YTD + projected ROS + total. 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)
2022	17	ROK	DSL Tampa Bay	—	192	157	41	6	3	1	33	30	1	9	4	261	393	357	749	96	315	16	17	346	49	—	—	—	—	—	—
2023	18	ROK	DSL Rays	—	222	188	52	5	5	3	29	33	1	11	6	277	374	404	779	128	316	15	13	347	42	—	—	—	—	—	—
2024	19	ROK	FCL Rays	—	205	177	48	8	3	0	24	28	1	13	5	271	361	350	712	79	322	14	12	322	44	—	—	—	—	—	—
2025	20	A	Charleston RiverDogs	—	20	19	2	1	0	0	1	4	0	0	0	105	150	158	308	53	133	20	5	144	-33	—	—	—	—	—	—
2025	20	ROK	FCL Rays	—	114	99	32	2	1	0	13	11	1	6	1	323	407	364	771	40	360	10	11	353	57	—	—	—	—	—	—
2025	20	INTL	Perth Heat	—	129	120	32	4	0	4	8	16	0	2	0	267	312	400	713	133	277	12	6	316	100	—	—	—	—	—	—
2026	21	A+	Bowling Green Hot Rods	—	126	111	35	3	1	0	14	25	0	1	1	315	389	360	749	45	407	20	11	344	75	—	—	—	—	—	—
2026	21	A	Charleston RiverDogs	—	287	251	58	8	2	0	28	38	2	10	4	231	311	279	590	48	267	13	10	272	40	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tampa Bay	—	192	166	29	4	2	0	24	37	1	9	4	175	283	223	506	48	222	19	12	241	49	—	—	—	—	—	—
2023	18	ROK MLE	DSL Rays	—	222	198	35	3	3	2	20	41	1	11	6	177	256	253	508	76	207	18	9	230	42	—	—	—	—	—	—
2024	19	ROK MLE	FCL Rays	—	205	187	38	6	2	0	14	41	1	13	5	203	262	257	519	53	258	20	7	233	44	—	—	—	—	—	—
2025	20	A MLE	Charleston RiverDogs	—	20	19	2	1	0	0	1	5	0	0	0	105	150	158	308	53	128	25	5	119	-33	—	—	—	—	—	—
2025	20	ROK MLE	FCL Rays	—	114	104	25	1	1	0	8	16	1	6	1	240	301	269	570	29	273	14	7	253	57	—	—	—	—	—	—
2026	21	A+ MLE	Bowling Green Hot Rods	—	126	118	31	2	1	0	8	33	0	1	1	263	310	297	606	34	373	26	6	279	75	—	—	—	—	—	—
2026	21	A MLE	Charleston RiverDogs	—	287	262	53	7	2	0	19	52	2	10	4	202	261	244	506	42	241	18	7	228	40	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tampa Bay	—	192	166	29	4	2	0	24	37	1	9	4	175	283	223	506	48	223	19	12	241	49	—	—	—	—	—	—
2022	17	ROK RAW	DSL Tampa Bay	—	192	157	41	6	3	1	33	30	1	9	4	261	393	357	749	96	315	16	17	346	49	—	—	—	—	—	—
2023	18	ROK MLE	DSL Rays	—	222	198	35	3	3	2	20	41	1	11	6	177	256	253	508	76	209	18	9	230	42	—	—	—	—	—	—
2023	18	ROK RAW	DSL Rays	—	222	188	52	5	5	3	29	33	1	11	6	277	374	404	779	128	316	15	13	347	42	—	—	—	—	—	—
2024	19	ROK MLE	FCL Rays	—	205	187	38	6	2	0	14	41	1	13	5	203	262	257	519	53	260	20	7	233	44	—	—	—	—	—	—
2024	19	ROK RAW	FCL Rays	—	205	177	48	8	3	0	24	28	1	13	5	271	361	350	712	79	322	14	12	322	44	—	—	—	—	—	—
2025	20	INTL MLE	3 teams	—	263	243	51	4	1	0	17	42	1	8	1	210	264	235	499	25	251	16	6	233	44	—	—	—	—	—	—
2025	20	INTL RAW	3 teams	—	263	238	66	7	1	4	22	31	1	8	1	277	341	366	707	88	302	12	8	319	44	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	413	379	84	9	3	0	28	84	2	11	5	222	279	261	540	40	281	20	7	244	51	—	—	—	—	—	—
2026	21	A RAW	2 teams	—	413	362	93	11	3	0	42	63	2	11	5	257	335	304	639	47	307	15	10	294	51	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tampa Bay	—	192	165	29	4	2	0	24	37	1	9	4	176	283	224	507	48	222	19	12	241	49	—	—	—	—	—	—
2023	18	ROK MLE	DSL Rays	—	222	199	35	3	3	2	20	41	1	11	6	176	256	251	507	75	207	18	9	230	42	—	—	—	—	—	—
2024	19	ROK MLE	FCL Rays	—	205	188	38	6	2	0	14	41	1	13	5	202	262	255	518	53	258	20	7	233	44	—	—	—	—	—	—
2025	20	INTL MLE	3 teams	—	263	243	51	4	1	0	17	42	1	8	1	210	264	235	499	25	251	16	6	233	44	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	413	380	84	9	3	0	28	84	2	11	5	221	279	261	539	39	281	20	7	244	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	FCL Rays	—	205	188	38	6	2	0	14	41	1	13	5	202	262	255	518	53	258	20	7	233	44	—	—	—	—	—	—
2025	20	INTL MLE	3 teams	—	263	243	51	4	1	0	17	42	1	8	1	210	264	235	499	25	251	16	6	233	44	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	413	380	84	9	3	0	28	84	2	11	5	221	279	261	539	39	281	20	7	244	51	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TB	0%	519	477	106	15	3	1	35	116	2	9	3	221	277	269	546	48	288	22	7	251	56	-27	+1	+0	+2	+11	-0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TB	34%	454	418	95	14	3	3	31	100	2	8	3	227	284	293	577	66	289	22	7	263	64	-19	+0	+0	+2	+10	-0.8
2029	24	MLB MLE	TB	46%	490	451	104	15	3	5	34	107	2	8	3	231	289	312	601	80	290	22	7	272	71	-17	+0	+0	+2	+11	-0.4
2030	25	MLB MLE	TB	52%	529	483	113	16	3	7	38	116	3	9	3	234	293	324	617	90	290	22	7	279	75	-16	+1	+0	+2	+11	-0.2
2031	26	MLB MLE	TB	54%	543	496	116	17	3	8	39	119	3	9	3	235	295	332	628	97	290	22	7	283	78	-14	+1	+0	+2	+12	-0.0
2032	27	MLB MLE	TB	54%	547	499	117	17	3	9	40	121	3	8	3	235	295	333	629	99	290	22	7	284	78	-14	+0	+0	+2	+12	-0.0
2033	28	MLB MLE	TB	54%	545	497	116	17	3	8	40	121	3	7	3	233	293	329	622	96	289	22	7	281	76	-15	+0	-1	+2	+12	-0.2
2034	29	MLB MLE	TB	53%	536	489	114	17	3	8	39	121	3	5	3	230	291	322	613	92	288	23	7	277	74	-17	-0	-1	+2	+12	-0.5
2028	23	MLB CTX	TB	34%	156	143	33	5	1	1	11	34	1	3	1	230	287	295	582	65	293	22	7	265	64	-7	+0	+0	+1	+3	-0.3
2029	24	MLB CTX	TB	46%	226	207	48	7	1	2	16	49	1	4	1	234	292	314	606	79	294	22	7	275	71	-8	+0	+0	+1	+5	-0.2
2030	25	MLB CTX	TB	52%	273	251	60	8	2	4	19	60	1	5	2	237	296	326	621	89	295	22	7	281	75	-8	+0	+0	+1	+6	-0.1
2031	26	MLB CTX	TB	54%	294	269	64	9	2	4	21	64	2	5	2	238	298	334	631	96	294	22	7	285	78	-8	+0	+0	+1	+6	-0.0
2032	27	MLB CTX	TB	54%	297	271	65	9	2	5	22	65	2	4	2	237	298	335	632	97	294	22	7	285	78	-8	+0	+0	+1	+6	-0.0
2033	28	MLB CTX	TB	54%	296	270	64	9	2	4	22	66	2	4	2	236	296	330	626	94	293	22	7	283	76	-8	+0	-0	+1	+6	-0.1
2034	29	MLB CTX	TB	53%	285	261	62	9	2	4	21	64	1	2	1	233	293	323	616	90	292	22	7	279	74	-9	+0	-1	+1	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1827	1672	396	56	12	24	132	402	10	27	11	237	297	328	624	91	297	22	7	280	66	-56	+1	-1	+7	+40	-1.0
/ 162G	—	A+C		—	650	595	141	20	4	9	47	143	4	10	4	237	297	329	627	92	297	22	7	280	66	-20	+0	-0	+2	+14	-0.3
Career	—	MLE		—	5259	4801	1076	148	34	50	385	1122	26	111	44	224	285	300	586	76	280	21	7	266	66	-130	+3	-2	+14	+86	-3.0
/ 162G	—	MLE		—	650	593	132	18	4	6	48	139	3	14	5	223	284	297	581	74	279	21	7	266	66	-21	+0	-0	+2	+14	-0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dustin 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
#2Jimmy Burke'01-'05 * career totals — 5 seasons, 2,093 PA	3.2	2,093	1	86	236*	296*	348*	+7	+4	2.7	2.7
/162	664	0	27	+2.3	+1.4	0.9	pk7: 3
#3Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
#4Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.2	2,147	25	32	232	288	316	+8	+2	-0.4	0.1
/162	664	8	10	+2.4	+0.6	-0.1	pk7: 1
#5Bobby Young'48-'58 * career totals — 6 seasons, 2,719 PA	4.1	2,719	15	18	243*	294*	341*	+10	-0	-0.8	-0.8
/162	664	4	4	+2.4	-0.1	-0.2	pk7: -1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Nicandro Aybar (OGILVIE)	22	56→61	28→33	49→54	50	219/275/267	48	288	0	5	22%	7%	56	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bengie González 2012 · A	22	44→54	34→40	48→50	43	205/257/255	51	273	2	14	25%	6%	46	-2.6	215/269/279	64	287	2	15	24%	6%	56	-1.9	252/303/348	96	305	4	12	18%	7%	82	+0.0
✕Ramiro Pena 2007 · AA	22	50→55	34→45	47→50	43	234/275/285	51	291	2	9	20%	5%	59	-1.6	241/289/309	68	301	3	10	19%	6%	70	-0.8	248/288/343	95	285	8	2	16%	5%	78	-0.1
✕Danny Mars 2016 · A	22	47→57	35→40	54→55	44	220/264/277	57	272	3	18	20%	5%	53	-2.1	245/286/321	76	328	4	18	25%	5%	72	-0.7	250/292/323	74	335	4	18	25%	5%	72	-0.6
✕Carlos Garcia 2014 · A	22	49→50	36→40	52→55	45	233/281/301	68	287	4	13	20%	6%	65	-1.2	235/283/308	73	297	4	22	21%	5%	68	-1.0	234/282/306	72	294	4	26	21%	5%	64	-0.8
✕Gabriel Maciel 2021 · A	22	50→54	37→40	50→55	47	236/296/307	71	303	4	15	22%	7%	73	-0.6	217/275/293	76	281	4	16	23%	7%	62	-1.4	212/270/279	67	272	3	18	22%	7%	54	-0.9
✕Walter Ibarra 2010 · AA	22	47→57	36→40	47→50	41	222/255/287	66	270	3	12	19%	4%	52	-2.2	246/281/333	87	310	5	13	21%	4%	73	-0.6	257/290/353	96	324	5	12	21%	3%	79	-0.1
✕Jeremy Arocho 2021 · A	22	48→44	36→30	48→60	47	224/284/295	71	288	3	10	22%	7%	65	-1.2	228/321/282	54	318	2	26	25%	12%	78	-0.3	221/328/267	46	302	1	34	24%	13%	75	-0.3
✕Sergio Alcántara 2018 · A	22	50→57	35→45	43→50	45	232/279/296	64	293	2	10	21%	6%	63	-1.3	237/292/298	61	312	3	9	23%	7%	69	-0.9	215/291/325	109	290	12	4	28%	9%	75	-0.3
✕Juniel Querecuto 2014 · A	21	47→57	35→45	48→50	43	220/271/282	62	298	2	10	26%	6%	57	-1.8	234/274/301	67	294	3	5	20%	5%	62	-1.4	253/286/352	99	304	8	13	19%	4%	77	-0.3
✕Chuck Taylor 2016 · A	22	49→55	36→40	44→50	46	228/290/293	65	298	3	8	24%	7%	68	-1.0	232/295/315	83	296	6	6	22%	7%	75	-0.5	240/305/325	85	298	6	4	20%	7%	78	-0.2
✕Frainyer Chavez 2021 · A	22	44→47	36→40	50	44	210/266/274	64	282	3	15	26%	7%	54	-2.0	207/274/272	65	290	4	11	28%	8%	57	-1.8	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Elih Marrero 2019 · A	22	45	36→40	49→55	47	212/276/279	66	277	3	5	23%	8%	59	-1.6	212/271/292	80	283	5	9	25%	7%	60	-1.6	210/266/317	107	293	8	22	29%	6%	61	-0.4
✕Louis Ott 2007 · A	22	44→48	36→30	52→45	40	203/263/271	68	301	3	10	32%	6%	53	-2.1	225/294/293	68	316	4	6	28%	8%	70	-0.9	229/306/286	56	325	4	5	28%	9%	70	-0.4
✕Jovanny Rosario 2007 · A	22	45→51	36→40	50→60	43	215/261/287	71	272	3	9	22%	5%	55	-2.0	233/265/306	73	304	4	18	23%	4%	60	-1.6	251/284/328	77	318	3	39	21%	4%	68	-0.4
✕Zack Granite 2015 · A	22	49→59	35→40	48→60	47	226/273/286	59	268	2	11	16%	6%	58	-1.7	250/299/321	71	294	3	24	15%	6%	76	-0.4	266/314/342	76	305	3	30	13%	6%	83	+0.1
✕Omar Obregon 2016 · A	22	51→54	33→30	48→50	46	239/286/285	46	288	1	15	17%	5%	63	-1.3	227/268/289	62	290	2	11	21%	5%	57	-1.8	223/260/277	54	289	0	10	22%	5%	49	-1.0
✕Greg Miclat 2010 · A	23	43→53	34→30	52→60	44	203/252/255	51	267	2	16	24%	6%	44	-2.8	247/303/314	67	327	3	23	23%	7%	77	-0.3	267/326/335	68	353	2	28	23%	7%	86	+0.2
✕Erick Salcedo 2015 · A	22	46→53	33→40	49→50	46	214/258/257	43	260	1	13	18%	6%	47	-2.6	222/261/278	56	268	2	10	17%	5%	52	-2.2	232/270/301	69	271	3	5	15%	5%	58	-1.4
✕Rodrigo Orozco 2017 · A	22	46→56	39→40	47→50	49	220/278/305	85	266	6	9	19%	7%	65	-1.2	239/295/314	75	308	3	12	21%	7%	74	-0.6	242/300/314	72	309	2	15	21%	7%	73	-0.4
✕Sammy Diaz 2013 · A	22	47	37→40	51→50	46	222/272/292	70	265	4	9	18%	6%	60	-1.6	232/282/310	78	272	4	8	16%	6%	68	-1.0	239/288/313	74	273	3	7	13%	6%	69	-0.5

Nicandro Aybar

Career Stats + Projections

Career Comps

Career Path Comps