Yohendrick Pinango

Yohendrick PinangoLF Buffalo Bisons

Age 24 L/L 5'10" / 170 lbs AAA HR +12%BB +4% Svc 0.0 · Ctrl thru 2033 peak 0.2 · 2028

wRC+†83

AVG/OBP/SLG.210 / .281 / .335

PA320

HR7

SB6

K%25

BB%8

MLB%30%

Scouting · now → future

HIT

40↗52

PWR

50↗52

SPD

40→40

FLD

40↘35

EYE

51↘40

trajectory · 10 yrs

0.5peak

2028

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 2027

DEF 10%

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	+0.2	$0.8M	+$0.0M
2029	Arb-1	$0.8M	+0.2	$0.9M	+$0.0M
2030	Arb-2	$0.9M	+0.2	$0.9M	+$0.0M
2031	Arb-3	$3M	—	—	—
2032	Ext / FA-deal	$0.4M	—	—	—
2033	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$-0.3M	-$4M

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
2019	17	ROK	DSL Cubs 1	274	250	67	14	0	0	17	29	4	27	7	.268	.325	.324	.649	.056	.299	11	6	.286	77	-7	+3	+0	-3	+8	0.0
2021	19	A	2 teams	456	431	106	17	3	4	21	95	2	8	2	.246	.284	.327	.611	.081	.305	21	5	.269	64	-19	+1	+0	-5	+13	-1.0
2022	20	A+	South Bend Cubs	495	472	98	18	1	11	22	111	1	14	1	.208	.244	.320	.564	.112	.249	22	4	.246	46	-30	+2	+0	-5	+14	-1.9
2023	21	A+	South Bend Cubs	439	407	80	12	1	4	25	94	2	15	6	.197	.247	.260	.507	.064	.242	21	6	.232	36	-32	+1	+0	-5	+12	-2.4
2024	22	AA	3 teams	510	464	94	22	3	9	39	123	5	11	4	.203	.272	.321	.593	.119	.254	24	8	.261	58	-24	+1	+0	-5	+14	-1.5
2025	23	AAA	3 teams	643	572	125	27	2	18	59	162	5	7	0	.219	.297	.367	.664	.149	.270	25	9	.292	81	-13	+1	+0	-7	+18	-0.1
▸ 2026 Season (actual · ROS · total)
2026	24	AAA	Buffalo Bisons	87	79	20	5	0	3	6	24	1	2	0	.253	.314	.430	.744	.177	.321	28	7	.310	95	-0	+0	+0	-1	+2	0.2
ROS	24	MLB	TOR	233	210	47	10	1	6	19	59	2	4	1	.224	.294	.367	.661	.143	.274	25	8	.287	78	-6	+0	-2	-2	+7	-0.3
TOT	24	MLB	TOR	320	289	67	15	1	9	25	83	3	6	1	.232	.300	.384	.684	.152	.291	26	8	.293	83	-6	+1	-2	-3	+9	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 47%	TOR	370	332	74	16	1	9	32	80	3	6	1	.223	.297	.358	.655	.136	.269	22	9	.300	88	-5	+1	-2	-4	+10	-0.0
2028	26	MLB 61%	TOR	407	364	83	18	1	11	36	88	4	6	1	.228	.304	.374	.678	.146	.271	22	9	.307	93	-3	+1	-3	-4	+12	0.2
2029	27	MLB 79%	TOR	420	375	86	18	1	12	38	92	4	6	1	.229	.307	.379	.686	.149	.272	22	9	.308	94	-3	+1	-3	-4	+12	0.2
2030	28	MLB 86%	TOR	425	379	87	18	1	12	39	94	4	6	0	.230	.308	.377	.685	.148	.273	22	9	.307	93	-3	+1	-3	-5	+12	0.2
2031	29	MLB 92%	TOR	420	375	85	18	1	11	38	94	4	5	0	.227	.305	.368	.673	.141	.272	22	9	.305	92	-4	+1	-4	-4	+12	0.0
2032	30	MLB	TOR	414	369	83	17	1	11	38	94	4	4	0	.225	.304	.366	.670	.141	.271	23	9	.302	89	-5	+1	-5	-4	+12	-0.2
2033	31	MLB	TOR	401	358	80	17	1	10	37	93	3	2	0	.223	.302	.360	.662	.137	.269	23	9	.298	86	-6	+0	-5	-4	+11	-0.4
2034	32	MLB	TOR	384	343	75	16	1	9	35	91	3	0	0	.219	.297	.350	.646	.131	.268	24	9	.294	83	-7	+0	-6	-4	+11	-0.7
2035	33	MLB	TOR	355	317	68	14	1	8	32	86	3	0	0	.215	.293	.341	.633	.126	.266	24	9	.288	79	-9	+0	-7	-4	+10	-0.9
2036	34	MLB	TOR	311	278	59	12	1	7	28	78	2	0	0	.212	.289	.338	.627	.126	.265	25	9	.282	74	-9	+0	-7	-3	+9	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			6957	6296	1397	284	21	152	555	1563	55	121	24	.222	.291	.346	.637	.124	.270	22	8	.285	76	-186	+15	-47	-75	+197	-9.8
/ 162G	—			650	588	131	27	2	14	52	146	5	11	2	.223	.291	.347	.638	.124	.271	22	8	.285	76	-17	+1	-4	-7	+18	-0.9

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
2019	17	ROK	DSL Cubs 1	274	240	86	20	0	0	27	20	4	27	7	.358	.432	.442	.873	.083	.386	7	10	.391	158	+18	+3	—	—	+8	2.9
2021	19	A+	South Bend Cubs	105	97	28	4	1	1	7	12	1	0	0	.289	.343	.381	.724	.093	.321	11	7	.327	109	+1	+0	—	—	+3	0.4
2021	19	A	Myrtle Beach Pelicans	351	324	88	16	2	4	24	57	1	8	2	.272	.324	.370	.694	.099	.317	16	7	.311	96	-1	+1	—	—	+10	1.0
2022	20	A+	South Bend Cubs	495	464	116	24	2	13	30	88	1	14	1	.250	.297	.394	.691	.144	.284	18	6	.308	94	-3	+2	—	—	+14	1.3
2023	21	A+	South Bend Cubs	439	392	97	18	2	6	40	72	2	15	6	.247	.320	.349	.670	.102	.285	16	9	.302	89	-5	+1	—	—	+12	0.8
2024	22	AA	New Hampshire Fisher Cats	352	314	65	18	1	5	34	74	3	8	1	.207	.291	.318	.609	.111	.254	21	10	.279	72	-11	+1	—	—	+10	-0.0
2024	22	A+	South Bend Cubs	122	100	34	8	2	5	20	15	1	3	3	.340	.455	.610	1.065	.270	.358	12	16	.457	208	+15	-1	—	—	+3	1.8
2024	22	INTL	Cardenales de Lara	36	32	8	1	1	1	3	4	1	0	0	.250	.333	.438	.771	.188	.259	11	8	.343	120	+1	+0	—	—	+1	0.2
2025	23	AAA	Buffalo Bisons	341	293	69	19	1	7	43	65	2	1	0	.235	.336	.379	.715	.143	.278	19	13	.323	105	+2	+0	—	—	+10	1.2
2025	23	AA	New Hampshire Fisher Cats	192	161	48	10	1	8	27	42	3	5	0	.298	.408	.522	.930	.224	.357	22	14	.408	171	+15	+1	—	—	+5	2.2
2025	23	INTL	Cardenales de Lara	110	91	33	8	0	8	15	21	0	1	0	.363	.453	.714	1.167	.352	.391	19	14	.480	225	+16	+0	—	—	+3	1.9

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
Yohendrick Pinango (OGILVIE)	24	40→52	50→52	40	40	.210/.281/.335	.125	.265	7	5	25%	8%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Carlos Cortes 2022 · AA	25	40→50	48→55	42→40	44	.208/.270/.353	.144	.266	15	5	27%	7%	72	-0.2	.205/.269/.349	.144	.268	17	3	29%	7%	70	-0.3	.223/.296/.393	.171	.258	21	3	22%	9%	91	+0.7
●Andrew Lambo 2013 · AAA	24	46→50	45→60	43→45	43	.226/.279/.346	.121	.294	12	5	27%	6%	73	-0.1	.239/.286/.434	.195	.304	25	7	29%	6%	100	+1.7	.236/.283/.433	.197	.293	25	5	28%	5%	96	+0.9
✕Nicky Delmonico 2016 · AA	24	42→47	46→55	45	42	.211/.269/.345	.134	.290	12	7	31%	7%	69	-0.4	.233/.293/.391	.158	.293	17	5	25%	7%	91	+1.1	.233/.301/.393	.161	.284	18	4	24%	8%	92	+0.9
●Jorge Guzman 2008 · AAA	24	44→51	47→60	44→40	41	.223/.269/.354	.131	.280	15	6	26%	5%	71	-0.3	.222/.271/.367	.145	.264	17	5	22%	6%	76	+0.0	.247/.298/.446	.199	.273	30	3	22%	6%	105	+1.6
✕Chris Lubanski 2009 · AAA	24	42→48	48→55	46→45	42	.213/.266/.360	.147	.282	15	7	30%	7%	71	-0.3	.210/.261/.351	.141	.288	15	10	31%	6%	67	-0.5	.208/.265/.353	.145	.275	16	10	30%	7%	68	-0.2
✕Anthony García 2016 · AAA	24	40→46	48→55	44→45	45	.206/.280/.347	.141	.257	15	6	26%	7%	75	-0.0	.217/.283/.355	.138	.262	15	6	23%	7%	78	+0.2	.218/.290/.362	.145	.263	18	4	24%	7%	81	+0.3
✕Roman Pena 2012 · AAA	25	39→49	43→50	45	47	.197/.271/.312	.115	.263	10	9	28%	9%	62	-0.9	.242/.302/.387	.145	.329	14	9	29%	8%	93	+1.3	.211/.276/.359	.148	.314	17	6	36%	8%	73	-0.1
●JJ Bleday 2022 · AA	24	37→47	46→55	45	46	.192/.263/.319	.127	.251	13	6	29%	8%	60	-1.0	.203/.296/.370	.167	.254	19	6	27%	11%	87	+0.8	.233/.319/.423	.190	.271	22	4	22%	11%	107	+1.9
✕Caleb Gindl 2013 · AAA	24	48→54	44→50	46→50	46	.236/.290/.359	.123	.289	11	7	22%	7%	81	+0.4	.222/.276/.346	.124	.282	12	5	25%	7%	72	-0.2	.240/.285/.363	.124	.292	11	1	21%	6%	77	+0.1
✕Brad Nelson 2008 · AAA	25	43→48	46→50	43→50	45	.219/.280/.349	.129	.282	14	9	27%	8%	75	-0.0	.217/.278/.359	.142	.258	17	9	22%	8%	76	+0.1	.215/.284/.369	.153	.257	19	2	24%	8%	80	+0.3
✕Bronson Sardinha 2007 · AAA	24	47→53	45→50	45→50	44	.232/.285/.356	.124	.294	13	6	25%	6%	78	+0.2	.233/.286/.364	.131	.286	13	8	22%	7%	80	+0.4	.259/.325/.398	.139	.314	13	8	21%	8%	103	+1.2
●Danny Ortiz 2014 · AA	24	44→49	44→60	41→45	40	.221/.257/.344	.123	.269	11	4	23%	4%	63	-0.9	.225/.254/.366	.141	.273	15	5	23%	3%	67	-0.5	.223/.261/.404	.181	.259	25	2	25%	4%	81	+0.3
✕Jaff Decker 2014 · MLB	24	42→50	47→55	44→55	49	.210/.290/.343	.134	.281	14	9	30%	10%	78	+0.2	.221/.294/.335	.114	.282	10	14	24%	9%	76	+0.1	.216/.292/.323	.107	.267	9	19	21%	9%	71	-0.2
✕Jeff Clement 2007 · AAA	23	45→48	44→55	40→30	42	.225/.282/.339	.114	.280	12	4	24%	5%	73	-0.1	.232/.301/.394	.162	.278	18	2	23%	7%	95	+1.4	.232/.304/.410	.178	.275	20	1	23%	8%	98	+1.4
✕Tyler Collins 2014 · AA	24	44→49	46→50	46→50	46	.219/.282/.354	.135	.270	13	9	24%	7%	77	+0.1	.222/.276/.351	.129	.278	15	10	25%	6%	73	-0.1	.217/.276/.335	.118	.282	13	11	27%	7%	67	-0.4
✕Tommy Giles 2008 · AA	24	42→41	48→55	43→40	38	.218/.260/.362	.144	.284	16	9	29%	5%	69	-0.4	.222/.278/.391	.169	.290	21	5	30%	7%	85	+0.7	.213/.276/.387	.174	.271	22	3	30%	7%	81	+0.3
●Christian Marrero 2010 · AA	24	47→54	48→50	44→50	42	.235/.280/.382	.147	.287	15	5	24%	5%	83	+0.6	.242/.297/.375	.133	.294	13	8	21%	7%	89	+0.9	.246/.327/.385	.139	.293	15	3	20%	10%	102	+1.0
●Rowdy Tellez 2018 · AAA	23	44→50	45→60	46→45	44	.221/.274/.346	.124	.275	13	6	24%	6%	71	-0.3	.237/.293/.400	.163	.287	19	6	24%	7%	93	+1.3	.249/.317/.464	.215	.286	29	1	24%	8%	114	+1.6
●Alex Call 2019 · AA	24	40→48	43→50	43→50	42	.199/.262/.311	.112	.273	10	8	30%	7%	57	-1.2	.198/.258/.317	.119	.275	12	9	31%	7%	57	-1.2	.221/.325/.367	.147	.256	16	17	20%	12%	99	+1.2
✕Luis Liberato 2021 · AA	25	43→51	47→50	44→50	42	.221/.267/.353	.132	.279	15	7	27%	6%	70	-0.3	.219/.278/.358	.139	.305	15	8	31%	7%	76	+0.1	.210/.278/.360	.150	.290	16	9	32%	8%	75	+0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)