Hendry Mendez — OGILVIE

Hendry MendezOF Wichita Wind Surge

INJURED · Reassigned to Minors (RM)

Age 22 L/L 6'3" / 175 lbs AA BB +3% Svc 0.0 · Ctrl thru 2034 peak 1.3 · 2030

wRC+†107

AVG/OBP/SLG.238 / .310 / .347

PA203

HR3

K%19

BB%9

MLB%40%

Scouting · now → future

HIT

57→57

PWR

42→42

SPD

44→44

FLD

37→37

EYE

52↗57

trajectory · 10 yrs

1.7peak

2030

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+1.2	$10M	+$10M
2030	Arb-2	$0.9M	+1.3	$12M	+$11M
2031	Arb-3	$0.9M	+1.3	$12M	+$11M
2032	Ext / FA-deal	$3M	+1.2	$11M	+$9M
2033	Ext / FA-deal	$4M	+1.0	$10M	+$6M
2034	Ext / FA-deal	$4M	+0.8	$4M	-$0.4M
Totals		$13M		$60M	+$46M

Career Projections (MLE)

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	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
2021	17	ROK	ACL Brewers Blue	138	122	31	7	2	1	12	17	2	3	1	.254	.331	.369	.700	.115	.286	12	9	.305	92	-1	+0	+0	-1	+4	0.2
2022	18	A	Carolina Mudcats	446	399	85	9	1	4	40	101	5	7	8	.213	.293	.271	.563	.058	.274	23	9	.255	53	-24	-2	+0	-3	+13	-1.6
2023	19	A+	3 teams	315	297	67	11	2	3	17	62	1	0	2	.226	.270	.306	.576	.081	.276	20	5	.249	49	-18	-1	+0	-2	+9	-1.2
2024	20	A+	Jersey Shore BlueClaws	373	337	81	16	3	3	32	66	2	3	0	.240	.310	.332	.642	.092	.289	18	9	.285	76	-10	+1	+0	-2	+11	-0.1
2025	21	AA	2 teams	514	449	121	15	4	11	49	95	6	11	4	.269	.349	.394	.743	.125	.313	18	10	.323	105	+3	+1	+0	-3	+15	1.5
▸ 2026 Season (actual · ROS · total)
2026	22	AA	Wichita Wind Surge	75	67	18	4	1	4	4	23	3	1	0	.269	.338	.537	.875	.269	.341	31	5	.355	130	+3	+0	+0	-0	+2	0.4
ROS	22	MLB	MIN	128	115	28	5	1	3	10	27	2	2	0	.243	.315	.383	.698	.139	.289	21	8	.308	94	-1	+0	-1	-1	+4	0.2
TOT	22	MLB	MIN	203	182	46	9	2	7	14	50	5	3	0	.253	.323	.440	.763	.187	.307	25	7	.325	107	+2	+1	-1	-1	+6	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 58%	MIN	526	468	114	19	4	11	46	93	7	7	2	.244	.321	.372	.692	.128	.279	18	9	.309	95	-3	+1	-3	-3	+15	0.7
2028	24	MLB 76%	MIN	562	500	123	21	4	13	50	99	7	7	2	.246	.323	.382	.705	.136	.280	18	9	.314	99	-1	+1	-3	-3	+16	1.0
2029	25	MLB 91%	MIN	584	517	128	22	4	14	54	104	8	8	2	.248	.328	.387	.715	.139	.281	18	9	.318	102	+1	+1	-3	-4	+17	1.2
2030	26	MLB	MIN	595	527	130	22	4	14	55	106	8	8	2	.247	.327	.383	.710	.137	.282	18	9	.320	103	+2	+1	-3	-4	+17	1.3
2031	27	MLB	MIN	597	528	130	22	4	14	56	107	8	8	2	.246	.328	.383	.710	.136	.282	18	9	.320	103	+2	+1	-3	-4	+17	1.3
2032	28	MLB	MIN	594	524	129	22	4	14	57	108	8	7	1	.246	.329	.384	.713	.137	.282	18	10	.319	102	+2	+1	-4	-4	+17	1.2
2033	29	MLB	MIN	585	517	127	21	4	14	56	108	7	6	1	.246	.328	.383	.711	.137	.282	18	10	.317	101	+1	+1	-4	-4	+17	1.0
2034	30	MLB	MIN	575	508	124	21	4	13	55	108	7	5	0	.244	.326	.378	.704	.134	.281	19	10	.314	99	-1	+1	-5	-3	+16	0.8
2035	31	MLB	MIN	561	495	118	20	3	12	54	108	7	2	0	.238	.322	.364	.686	.125	.280	19	10	.311	96	-3	+0	-6	-3	+16	0.5
2036	32	MLB	MIN	543	479	113	19	3	11	52	107	7	0	0	.236	.320	.357	.677	.121	.279	20	10	.306	93	-5	+0	-6	-3	+15	0.1
2037	33	MLB	MIN	513	453	105	17	3	10	49	105	6	0	0	.232	.315	.349	.664	.117	.278	20	10	.301	89	-7	+0	-7	-3	+15	-0.2
2038	34	MLB	MIN	466	414	95	15	3	9	44	99	5	0	0	.229	.311	.345	.656	.116	.277	21	9	.295	84	-8	+0	-7	-3	+13	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			8615	7649	1849	304	57	174	788	1620	103	84	27	.242	.321	.365	.685	.123	.284	19	9	.307	93	-70	+6	-55	-52	+244	7.5
/ 162G	—			650	577	139	23	4	13	59	122	8	6	2	.241	.320	.362	.682	.121	.283	19	9	.307	93	-5	+0	-4	-4	+18	0.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2021	17	ROK	ACL Brewers Blue	138	117	37	9	3	1	17	12	2	3	1	.316	.412	.470	.882	.154	.343	9	12	.388	155	+9	+0	—	—	+4	1.3
2022	18	A	Carolina Mudcats	446	377	92	11	1	5	62	70	5	7	8	.244	.358	.318	.676	.074	.286	16	14	.316	100	+0	-2	—	—	+13	1.1
2023	19	A+	Wisconsin Timber Rattlers	257	233	55	8	2	3	23	40	1	0	1	.236	.307	.326	.634	.090	.274	16	9	.290	80	-6	-0	—	—	+7	0.1
2023	19	ROK	ACL Brewers	15	15	9	3	0	0	0	0	0	0	1	.600	.600	.800	1.400	.200	.600	0	0	.619	332	+4	-0	—	—	+0	0.4
2023	19	INTL	Surprise Saguaros	43	37	8	3	0	0	6	10	0	0	0	.216	.326	.297	.623	.081	.296	23	14	.292	82	-1	+0	—	—	+1	0.0
2024	20	A+	Jersey Shore BlueClaws	373	317	90	19	3	3	52	52	2	3	0	.284	.388	.391	.779	.107	.330	14	14	.354	129	+12	+1	—	—	+11	2.4
2025	21	AA	Wichita Wind Surge	491	408	122	16	4	11	67	65	6	10	4	.299	.405	.439	.844	.140	.326	13	14	.374	144	+24	+0	—	—	+14	4.0
2025	21	INTL	Peoria Javelinas	23	20	6	1	0	1	3	2	0	1	0	.300	.391	.500	.891	.200	.294	9	13	.395	160	+2	+0	—	—	+1	0.2

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
Hendry Mendez (OGILVIE)	22	57	42	44	57	.238/.310/.347	.109	.283	3	2	19%	9%	87	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Daric Barton 2008 · MLB	22	52→56	44→45	43→45	56	.250/.330/.379	.129	.287	10	4	16%	10%	103	+1.9	.236/.329/.364	.128	.273	11	4	17%	12%	99	+1.7	.235/.345/.364	.129	.271	11	3	16%	13%	103	+1.9
●J.P. Crawford 2017 · AAA	22	49→58	40→45	47→50	53	.236/.302/.329	.092	.275	8	12	17%	9%	78	+0.2	.215/.295/.331	.116	.268	10	8	22%	10%	76	+0.1	.263/.355/.386	.123	.307	11	2	17%	11%	113	+2.8
✕Jorbit Vivas 2023 · A	22	50→56	44→45	47→50	50	.245/.317/.366	.121	.270	12	4	14%	7%	95	+1.4	.229/.313/.339	.110	.261	10	14	16%	8%	87	+0.8	.221/.312/.321	.101	.254	9	18	16%	9%	79	+0.3
●David Cooper 2009 · A	22	52→60	42→50	47→30	47	.251/.301/.363	.113	.309	8	5	21%	7%	86	+0.8	.240/.294/.367	.127	.284	12	2	19%	7%	85	+0.7	.258/.312/.406	.148	.283	14	0	14%	7%	101	+1.6
✕Dario Pizzano 2014 · A	23	54→57	42→50	48→40	51	.258/.316/.376	.117	.295	8	6	15%	7%	95	+1.4	.237/.297/.368	.131	.268	10	4	15%	7%	86	+0.8	.235/.293/.359	.124	.253	14	2	14%	6%	80	+0.2
✕Greg Garcia 2013 · AA	23	51→53	40	46→50	50	.240/.315/.339	.099	.299	7	8	21%	8%	86	+0.8	.239/.313/.331	.092	.309	6	12	23%	8%	84	+0.6	.241/.350/.334	.093	.308	6	3	21%	13%	99	+0.8
●Alex Verdugo 2018 · MLB	22	52→58	42→50	43→45	47	.253/.297/.359	.106	.285	10	7	15%	6%	83	+0.6	.271/.322/.398	.127	.308	13	8	16%	7%	105	+2.1	.289/.349/.442	.153	.326	15	7	16%	8%	121	+2.1
●Justin Yurchak 2019 · A	22	49→59	39→40	42→40	50	.231/.294/.318	.087	.281	6	3	20%	8%	72	-0.2	.245/.303/.347	.102	.308	9	3	22%	7%	83	+0.6	.273/.337/.381	.107	.337	11	2	21%	8%	103	+1.1
●Ryan Sweeney 2007 · MLB	22	54→61	41→45	42→45	44	.259/.296/.361	.101	.300	8	7	17%	4%	83	+0.6	.261/.312/.370	.109	.304	10	9	17%	7%	92	+1.2	.286/.344/.386	.101	.326	6	7	13%	8%	105	+1.6
✕Matt Koperniak 2022 · AA	24	52→54	44→50	43→45	47	.251/.319/.371	.121	.298	11	6	19%	6%	97	+1.5	.254/.309/.386	.132	.307	15	9	22%	6%	96	+1.5	.259/.311/.398	.139	.311	17	9	22%	6%	97	+1.3
✕Peter Ciofrone 2007 · AA	23	52→55	41→45	46→40	51	.248/.325/.343	.096	.299	8	6	19%	8%	92	+1.2	.230/.292/.338	.108	.272	11	3	19%	6%	77	+0.1	.215/.274/.321	.106	.251	11	1	19%	6%	61	-0.7
●Eric Sogard 2009 · A	23	52→58	43→45	46→55	53	.248/.309/.361	.113	.279	9	10	15%	8%	89	+1.0	.250/.310/.348	.098	.283	7	11	13%	8%	86	+0.8	.255/.340/.377	.121	.290	11	10	15%	11%	103	+1.2
●Joe Panik 2013 · A	22	54→62	40→50	48→45	50	.259/.310/.356	.097	.288	7	8	13%	6%	88	+0.9	.262/.313/.354	.092	.298	6	6	13%	6%	89	+0.9	.268/.339/.406	.138	.280	12	5	9%	9%	107	+1.9
✕Trevor Larnach 2019 · A	22	48→53	45→55	51→45	47	.235/.297/.362	.127	.292	11	7	23%	8%	85	+0.7	.238/.301/.359	.121	.342	12	4	31%	7%	86	+0.8	.235/.316/.401	.167	.293	21	4	26%	10%	99	+1.4
✕Caleb Gindl 2012 · AAA	23	50→54	45→50	46→50	48	.246/.307/.373	.128	.300	13	9	22%	8%	92	+1.2	.229/.284/.357	.128	.289	12	6	24%	7%	78	+0.2	.240/.285/.363	.124	.292	11	1	21%	6%	77	+0.1
✕Colin Moran 2015 · AA	22	52→57	41→55	41→30	43	.250/.288/.349	.098	.308	8	3	21%	5%	76	+0.1	.241/.289/.351	.110	.316	11	3	26%	6%	78	+0.2	.271/.332/.429	.158	.324	19	0	21%	8%	111	+1.6
●Corban Joseph 2011 · AA	22	50→58	40→50	44→45	45	.238/.293/.343	.105	.303	6	6	23%	7%	77	+0.1	.237/.296/.359	.122	.299	9	4	23%	7%	83	+0.6	.269/.317/.406	.138	.293	14	3	13%	6%	101	+1.4
✕Dominic Smith 2017 · AA	22	52→55	41→50	43→40	45	.251/.294/.348	.097	.300	8	3	19%	6%	79	+0.3	.248/.296/.387	.139	.310	14	3	24%	6%	91	+1.1	.266/.332/.448	.182	.319	21	2	23%	7%	120	+1.5
✕Rio Ruiz 2016 · AA	22	48→52	42→50	43→40	50	.230/.296/.342	.112	.289	9	5	23%	9%	79	+0.3	.227/.286/.341	.114	.294	11	3	25%	8%	75	-0.0	.223/.289/.369	.145	.265	17	3	22%	8%	81	+0.2
●Daniel Descalso 2010 · AAA	23	50→54	44→50	45	47	.244/.297/.366	.122	.279	10	6	16%	6%	85	+0.7	.243/.302/.351	.108	.282	7	7	16%	7%	83	+0.6	.238/.343/.404	.166	.294	16	4	23%	13%	108	+1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)