Yonathan Perlaza

Yonathan Perlaza2B El Paso Chihuahuas

Age 27 S/R 5'9" / 170 lbs AAA HR +5% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION0 act + 0 ros · stats below = ROS only

showingROS

wRC+†104

AVG/OBP/SLG—

PA2

HR0

K%50

BB%9

BABIP315

ISO200

MLB%10%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$24M ctrl surplus

Tools · ContractCON 60 / POW 55

Toolsscout grade

CONTACT60

scouting grade only

POWER55

scouting grade only

EYE55

scouting grade only

SPEED50

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2029	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2030	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2031	Arb-1	$2M	+0.5	$1M	+$0.0M (cut)
2032	Arb-2	$0.7M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$9M	+$6M

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)
2016	17	ROK	DSL Cubs 1	—	245	223	57	12	4	3	18	50	1	17	11	256	314	386	700	130	314	20	7	309	96	-1	-1	—	—	+5	0.3
2017	18	ROK	AZL Cubs	—	109	102	24	4	2	0	6	25	0	4	3	235	278	314	592	78	312	23	6	265	65	-5	-0	—	—	+2	-0.3
2018	19	ROK	AZL Cubs 1	—	200	183	58	9	2	1	15	40	0	9	3	317	369	404	773	87	396	20	8	345	119	+5	+1	—	—	+4	1.0
2019	20	A	South Bend Cubs	—	97	84	20	5	0	1	12	26	0	0	1	238	333	333	667	95	333	27	12	305	92	-1	-0	—	—	+2	0.1
2021	22	A+	South Bend Cubs	—	404	357	100	24	1	15	38	95	3	6	4	280	354	479	833	199	337	24	9	363	132	+15	-0	—	—	+9	2.4
2021	22	INTL	Aguilas del Zulia	—	91	85	24	7	0	0	3	14	0	2	0	282	307	365	672	82	329	15	3	291	83	-2	+0	—	—	+2	0.1
2022	23	AA	Tennessee Smokies	—	547	470	120	36	3	23	72	127	4	15	6	255	359	491	850	236	302	23	13	374	139	+26	+1	—	—	+12	3.9
2023	24	AAA	Iowa Cubs	—	543	461	131	40	3	23	76	119	4	13	5	284	390	534	924	249	336	22	14	403	159	+38	+1	—	—	+12	5.1
2023	24	INTL	Aguilas del Zulia	—	82	70	15	2	0	0	10	16	1	2	0	214	321	243	564	29	273	20	12	269	68	-3	+0	—	—	+2	-0.1
2025	26	AAA	El Paso Chihuahuas	—	624	541	166	49	2	19	74	125	4	15	7	307	394	510	904	203	366	20	12	396	154	+40	+0	—	—	+14	5.5
2025	26	INTL	Aguilas del Zulia	—	108	83	19	7	0	3	19	13	2	4	1	229	385	422	806	193	225	12	18	353	125	+3	+0	—	—	+2	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	17	ROK MLE	DSL Cubs 1	—	245	230	43	8	3	2	11	72	1	17	11	187	227	274	501	87	259	29	4	223	37	-18	-1	—	—	+5	-1.4
2017	18	ROK MLE	AZL Cubs	—	109	104	17	3	1	0	4	36	0	4	3	163	194	212	406	48	249	33	4	180	8	-12	-0	—	—	+2	-1.0
2018	19	ROK MLE	AZL Cubs 1	—	200	189	45	6	1	1	9	58	0	9	3	238	273	296	569	58	330	29	4	253	57	-10	+1	—	—	+4	-0.5
2019	20	A MLE	South Bend Cubs	—	97	88	17	4	0	1	8	37	0	0	1	193	260	273	533	80	299	38	8	229	41	-7	-0	—	—	+2	-0.5
2021	22	A+ MLE	South Bend Cubs	—	404	369	85	18	1	13	26	127	3	6	4	230	286	390	677	160	295	31	6	289	82	-9	-0	—	—	+9	-0.0
2022	23	AA MLE	Tennessee Smokies	—	547	491	105	32	3	17	51	162	4	15	6	214	293	395	688	181	279	30	9	300	89	-7	+1	—	—	+12	0.6
2023	24	AAA MLE	Iowa Cubs	—	543	485	112	32	3	17	52	140	4	13	5	231	311	414	725	184	285	26	10	313	98	-1	+1	—	—	+12	1.1
2025	26	AAA MLE	El Paso Chihuahuas	—	624	566	143	39	1	15	49	166	4	15	7	253	317	405	721	152	326	27	8	315	99	-1	+0	—	—	+14	1.3
2016	17	ROK MLE	DSL Cubs 1	—	245	230	43	8	3	2	11	72	1	17	11	187	227	274	501	87	259	29	4	223	37	—	—	—	—	—	—
2016	17	ROK RAW	DSL Cubs 1	—	245	223	57	12	4	3	18	50	1	17	11	256	314	386	700	130	314	20	7	309	37	—	—	—	—	—	—
2017	18	ROK MLE	AZL Cubs	—	109	104	17	3	1	0	4	36	0	4	3	163	194	212	406	48	250	33	4	180	8	—	—	—	—	—	—
2017	18	ROK RAW	AZL Cubs	—	109	102	24	4	2	0	6	25	0	4	3	235	278	314	592	78	312	23	6	265	8	—	—	—	—	—	—
2018	19	ROK MLE	AZL Cubs 1	—	200	189	45	6	1	1	9	58	0	9	3	238	273	296	569	58	333	29	4	253	57	—	—	—	—	—	—
2018	19	ROK RAW	AZL Cubs 1	—	200	183	58	9	2	1	15	40	0	9	3	317	369	404	773	87	396	20	8	345	57	—	—	—	—	—	—
2019	20	A MLE	South Bend Cubs	—	97	88	17	4	0	1	8	37	0	0	1	193	260	273	533	80	320	38	8	229	41	—	—	—	—	—	—
2019	20	A RAW	South Bend Cubs	—	97	84	20	5	0	1	12	26	0	0	1	238	333	333	667	95	333	27	12	305	41	—	—	—	—	—	—
2021	22	A+ MLE	2 teams	—	495	451	104	22	1	16	32	155	3	8	4	231	286	390	676	160	307	31	6	289	82	—	—	—	—	—	—
2021	22	A+ RAW	2 teams	—	495	442	124	31	1	15	41	109	3	8	4	281	346	457	803	176	335	22	8	350	82	—	—	—	—	—	—
2022	23	AA MLE	Tennessee Smokies	—	547	491	105	32	3	17	51	162	4	15	6	214	293	395	688	181	281	30	9	300	89	—	—	—	—	—	—
2022	23	AA RAW	Tennessee Smokies	—	547	470	120	36	3	23	72	127	4	15	6	255	359	491	850	236	302	23	13	374	89	—	—	—	—	—	—
2023	24	AAA MLE	2 teams	—	625	558	129	37	4	19	59	161	5	15	5	231	310	414	724	183	289	26	9	313	98	—	—	—	—	—	—
2023	24	AAA RAW	2 teams	—	625	531	146	42	3	23	86	135	5	15	5	275	381	495	876	220	327	22	14	385	98	—	—	—	—	—	—
2025	26	AAA MLE	2 teams	—	732	659	169	46	2	17	58	195	6	19	8	256	322	410	732	153	333	27	8	315	99	—	—	—	—	—	—
2025	26	AAA RAW	2 teams	—	732	624	185	56	2	22	93	138	6	19	8	296	393	498	891	202	345	19	13	390	99	—	—	—	—	—	—
2016	17	ROK MLE	DSL Cubs 1	—	245	231	43	8	3	2	11	72	1	17	11	186	227	273	500	87	259	29	4	223	37	—	—	—	—	—	—
2017	18	ROK MLE	AZL Cubs	—	109	104	17	3	1	0	4	36	0	4	3	163	194	212	406	48	249	33	4	180	8	—	—	—	—	—	—
2018	19	ROK MLE	AZL Cubs 1	—	200	189	45	6	1	1	9	58	0	9	3	238	273	296	569	58	330	29	4	253	57	—	—	—	—	—	—
2019	20	A MLE	South Bend Cubs	—	97	89	17	4	0	1	8	37	0	0	1	191	260	270	530	79	299	38	8	229	41	—	—	—	—	—	—
2021	22	A+ MLE	2 teams	—	495	457	104	22	1	16	32	155	3	8	4	228	286	385	671	158	295	31	6	289	82	—	—	—	—	—	—
2022	23	AA MLE	Tennessee Smokies	—	547	487	105	32	3	17	51	162	4	15	6	216	293	398	691	183	279	30	9	300	89	—	—	—	—	—	—
2023	24	AAA MLE	2 teams	—	625	556	129	37	4	19	59	161	5	15	5	232	310	415	726	183	285	26	9	313	98	—	—	—	—	—	—
2025	26	AAA MLE	2 teams	—	732	662	169	46	2	17	58	195	6	19	8	255	322	408	730	153	326	27	8	315	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	24	AAA MLE	2 teams	—	625	556	129	37	4	19	59	161	5	15	5	232	310	415	726	183	285	26	9	313	98	—	—	—	—	—	—
2025	26	AAA MLE	2 teams	—	732	662	169	46	2	17	58	195	6	19	8	255	322	408	730	153	326	27	8	315	99	—	—	—	—	—	—
▸ 2026 season
2026	27	MLB MLE	SD	10%	22	20	5	1	0	1	2	6	0	0	0	250	318	450	768	200	319	27	9	322	104	+0	+0	+0	+0	+0	1.0
▸ 2026 — real world (MLB)
2026	27	MLB CTX	SD	10%	2	2	0	0	0	0	0	1	0	0	0						315	50	0	315	104	+0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	SD	41%	561	505	126	32	2	15	47	144	4	11	4	250	318	410	728	160	316	26	8	321	103	+2	+1	-1	+2	+12	1.7
2028	29	MLB MLE	SD	54%	584	526	129	32	2	15	49	149	4	10	4	245	314	399	714	154	314	26	8	319	102	+2	+0	-1	+2	+13	1.6
2029	30	MLB MLE	SD	62%	594	535	131	32	2	15	50	152	4	10	4	245	314	396	710	151	311	26	8	317	101	+0	+0	-2	+2	+13	1.4
2030	31	MLB MLE	SD	66%	596	536	130	32	2	15	51	154	4	8	3	243	313	394	707	151	309	26	9	313	98	-1	+0	-3	+2	+13	1.1
2031	32	MLB MLE	SD	68%	593	534	127	31	2	14	50	156	4	7	3	238	308	382	690	144	305	26	8	307	94	-4	+0	-4	+2	+13	0.8
2032	33	MLB MLE	SD	70%	318	286	67	16	1	7	27	85	2	3	1	234	305	371	675	136	300	27	8	300	89	-4	+0	-4	+1	+7	-0.0
2027	28	MLB CTX	SD	41%	232	209	52	13	1	6	19	59	2	4	2	249	317	407	724	158	312	25	8	314	103	+1	+0	-0	+1	+5	0.7
2028	29	MLB CTX	SD	54%	316	284	69	17	1	8	27	81	2	6	2	243	313	394	707	151	310	26	9	313	102	+1	+0	-1	+1	+7	0.9
2029	30	MLB CTX	SD	62%	365	328	80	19	1	10	31	94	3	6	2	244	315	399	714	155	308	26	8	310	101	+0	+0	-1	+1	+8	0.9
2030	31	MLB CTX	SD	66%	392	353	84	20	1	10	33	101	3	5	2	238	308	385	694	147	305	26	8	306	98	-1	+0	-2	+1	+8	0.7
2031	32	MLB CTX	SD	68%	405	365	85	20	1	10	34	106	3	5	2	233	303	375	679	142	302	26	8	301	94	-3	+0	-2	+1	+9	0.5
2032	33	MLB CTX	SD	70%	222	200	46	11	1	5	19	59	1	2	1	230	300	370	670	140	297	27	9	293	89	-3	+0	-3	+1	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1932	1739	416	100	6	49	163	500	14	28	11	239	309	388	698	149	306	26	8	306	90	-5	+1	-10	+7	+42	3.7
/ 162G	—	A+C		—	650	585	140	34	2	16	55	168	5	9	4	239	310	386	696	147	307	26	8	306	90	-2	+0	-3	+2	+14	1.2
Career	—	MLE		—	6318	5712	1344	334	26	155	508	1722	41	136	60	235	302	384	687	149	307	27	8	302	90	-5	+2	-15	+12	+71	6.6
/ 162G	—	MLE		—	650	588	138	34	3	16	52	177	4	14	6	235	301	384	686	150	306	27	8	302	90	-1	+0	-3	+2	+14	1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jedd Gyorkolast yr '20 career totals — 8 seasons, 2,983 PA	4.5	2,983	121	14	245	310	424	+8	+22	13.4	13.5
/162	664	27	3	+1.7	+5.0	3.0	pk7: 14
#2Yangervis Solartelast yr '19 career totals — 6 seasons, 2,645 PA	4.0	2,645	75	6	258	315	408	+9	+3	9.4	9.4
/162	664	19	2	+2.4	+0.7	2.4	pk7: 9
#3Brett Lawrielast yr '16 career totals — 6 seasons, 2,417 PA	3.6	2,417	71	41	261	315	419	+9	+1	9.4	9.4
/162	664	20	11	+2.4	+0.3	2.6	pk7: 9
#4Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
#5Casey McGeheelast yr '16 career totals — 7 seasons, 3,061 PA	4.6	3,061	67	7	258	318	386	+3	+7	8.3	8.3
/162	664	15	2	+0.7	+1.4	1.8	pk7: 8
#6Ryan Robertslast yr '13 career totals — 5 seasons, 1,639 PA	2.5	1,639	45	35	248	323	395	+5	+20	7.5	7.5
/162	664	18	14	+2.0	+8.0	3.0	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.9	1,958	49	29	243	309	393	+7	+4	5.3	5.3
/162	664	17	10	+2.4	+1.4	1.8	pk7: 5

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
Yonathan Perlaza (OGILVIE)	27	60	55	50	55	248/315/405	157	319	6	5	26%	8%	104	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Asdrúbal Cabrera 2013 · MLB	27	54→63	50→55	48→50	51	269/331/427	158	300	17	11	17%	8%	114	+2.4	251/312/409	158	290	16	10	19%	7%	103	+1.5	275/336/454	180	309	21	3	18%	8%	119	+2.6
✕Welington Castillo 2014 · MLB	27	52→57	48→55	48→30	48	255/330/398	143	321	16	3	25%	8%	107	+1.9	246/310/410	164	301	20	3	25%	7%	103	+1.5	253/309/434	181	307	25	1	26%	7%	105	+1.1
✕Mark Teahen 2009 · MLB	27	55→60	48→55	50	50	269/331/421	152	324	13	8	21%	8%	112	+2.2	257/320/388	131	320	12	7	22%	8%	101	+1.4	253/319/372	120	318	11	6	23%	8%	93	+0.5
✕John Hester 2011 · MLB	27	51	49→55	49→50	42	251/300/411	160	318	14	11	25%	6%	99	+1.2	212/270/326	114	291	12	5	30%	7%	68	-1.0	187/247/297	110	270	12	4	34%	7%	52	-1.0
✕Niko Goodrum 2019 · MLB	27	46→53	49→55	49→55	43	233/288/388	155	304	16	13	28%	7%	89	+0.5	233/304/395	162	322	16	17	31%	9%	97	+1.1	224/301/377	154	317	16	20	32%	9%	90	+0.3
✕Jonathan India 2023 · MLB	26	51→53	49→50	45→50	51	253/343/402	150	308	16	8	22%	9%	114	+2.3	242/338/384	142	289	15	10	20%	10%	107	+1.9	237/339/372	134	283	14	9	20%	11%	103	+1.5
●Neil Walker 2013 · MLB	27	56→57	48→55	44→45	51	276/338/428	151	320	15	9	18%	8%	116	+2.5	267/339/442	175	297	20	4	17%	8%	120	+2.8	275/342/462	187	302	24	3	17%	8%	122	+2.7
✕Drew Sutton 2010 · MLB	27	51→56	46→50	48→50	49	248/317/388	140	300	12	12	21%	8%	100	+1.3	238/308/354	116	313	8	7	25%	8%	88	+0.5	236/306/342	106	315	6	6	25%	8%	83	+0.1
✕Francisco Mejía 2022 · MLB	26	49→59	50→55	48→40	46	247/309/408	161	284	16	4	19%	6%	102	+1.5	241/283/389	148	289	15	3	22%	5%	88	+0.4	238/277/377	139	287	15	1	22%	4%	81	-0.0
✕Brendan Harris 2008 · MLB	27	54→58	46→50	47→45	48	264/320/399	135	312	12	6	19%	7%	103	+1.6	251/309/370	119	301	10	3	19%	7%	93	+0.8	229/311/345	116	266	10	1	17%	9%	86	+0.2
✕Victor Reyes 2022 · MLB	27	56→58	46→50	55	42	273/313/412	139	338	12	17	22%	5%	103	+1.6	252/293/381	129	323	12	8	25%	5%	89	+0.5	248/286/370	122	320	11	4	25%	4%	82	-0.0
●Mickey Gasper 2023 · AA	27	49→54	47→50	48→45	51	238/330/382	144	301	14	8	24%	10%	104	+1.6	235/321/364	129	277	13	10	19%	9%	97	+1.1	252/343/409	158	285	17	7	17%	10%	113	+1.5
●Dexter Fowler 2013 · MLB	27	54→64	45→55	53→55	56	255/345/398	142	331	10	13	24%	12%	112	+2.2	258/354/397	139	326	13	16	22%	12%	116	+2.5	259/365/442	182	317	17	14	22%	13%	126	+3.1
●Lane Thomas 2023 · MLB	27	47→52	51→55	47→55	49	238/307/402	164	294	18	10	25%	9%	100	+1.3	247/309/424	177	309	20	20	26%	7%	105	+1.7	244/307/421	177	305	21	25	26%	7%	102	+1.2
●Felipe Lopez 2006 · MLB	26	54→64	52→55	48→55	52	269/336/445	176	313	18	12	20%	9%	120	+2.8	265/335/389	124	311	11	22	17%	9%	106	+1.8	276/344/384	108	321	8	12	15%	9%	105	+1.8
●Chris Johnson 2013 · MLB	28	53→63	49→55	48→45	41	265/310/420	156	332	16	6	25%	5%	105	+1.7	280/318/409	129	359	13	5	24%	5%	105	+1.7	284/318/397	113	366	11	3	25%	4%	98	+0.9
✕Tyler Stephenson 2023 · MLB	26	57	49→55	47→30	49	278/348/424	147	345	16	4	23%	8%	120	+2.8	248/323/402	154	317	17	2	26%	9%	106	+1.8	237/322/408	171	303	20	0	27%	10%	103	+1.1
✕Brad Miller 2017 · MLB	27	47→57	56→60	49→50	49	245/310/443	198	285	23	9	23%	8%	110	+2.1	231/314/413	182	295	21	7	27%	11%	105	+1.7	230/323/459	228	279	31	5	28%	11%	116	+1.2
✕Larry Bigbie 2005 · MLB	27	56	49→50	49→50	51	277/338/425	148	329	17	11	21%	9%	116	+2.5	250/312/373	123	319	12	9	24%	8%	95	+0.9	242/303/347	105	316	8	8	24%	8%	82	+0.0
✕Derek Norris 2015 · MLB	26	51→56	50→55	47→50	56	255/339/410	154	304	17	7	21%	11%	113	+2.3	233/300/386	153	291	17	7	25%	8%	93	+0.8	218/280/370	152	272	18	7	26%	7%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps