Kyle Higashioka — OGILVIE

Kyle HigashiokaC Texas Rangers

Age 36 R/R 6'1" / 202 lbs MLB K +3% Svc 9.000 · Ctrl thru 2027 peak 0.9 · 2026

wRC+†vL 9991vR 103

AVG/OBP/SLG.217 / .267 / .405

PA204

HR9

K%25

BB%6

MLB%100%

Scouting · now → future

HIT

45→45

PWR

50→50

SPD

35→35

EYE

42↗50

trajectory · 10 yrs

0.4peak

2026

Contract

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

Status FA

MLB Debut 2017

Service 9.000 yrs.days

Team Control Through 2027

First FA Year 2028

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$7M	+0.9	$4M	-$3M
2027	Ext / FA-deal	$7M	—	—	—
Totals		$14M		$2M	-$11M

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
2008	18	ROK	GCL Yankees	50	47	10	1	0	1	1	12	1	0	0	.213	.245	.298	.543	.085	.257	24	2	.218	25	-4	+0	+0	+1	+1	-0.2
2010	20	A	Charleston RiverDogs	359	332	59	14	0	6	19	81	5	0	2	.178	.233	.274	.507	.096	.215	23	5	.219	26	-30	-1	+0	+6	+10	-1.5
2011	21	A+	2 teams	324	302	59	14	0	7	15	55	3	1	0	.195	.241	.311	.552	.116	.214	17	5	.240	42	-21	+0	+0	+6	+9	-0.6
2012	22	A+	2 teams	165	152	20	4	0	5	8	59	0	1	1	.132	.175	.257	.432	.125	.165	36	5	.190	4	-18	-0	+0	+3	+5	-1.1
2013	23	AA	Trenton Thunder	26	25	7	2	0	1	0	6	0	0	0	.280	.280	.480	.760	.200	.333	23	0	.304	91	-0	+0	+0	+0	+1	0.1
2014	24	A+	3 teams	83	74	13	5	0	1	7	23	0	1	1	.176	.247	.284	.531	.108	.231	28	8	.251	50	-5	-0	+0	+1	+2	-0.1
2015	25	A+	2 teams	348	330	66	16	1	5	16	73	1	0	0	.200	.239	.300	.539	.100	.241	21	5	.236	39	-24	+0	+0	+6	+10	-0.8
2016	26	AA	2 teams	416	384	91	20	0	18	24	91	0	0	2	.237	.282	.430	.712	.193	.258	22	6	.307	93	-3	-1	+0	+7	+12	1.6
2017	27	AAA	2 teams	77	72	11	3	0	1	5	14	0	0	0	.153	.208	.236	.444	.083	.175	18	6	.212	21	-7	+0	+1	+1	+2	-0.2
2018	28	AAA	2 teams	290	267	44	10	1	7	17	69	4	2	0	.165	.226	.288	.514	.124	.192	24	6	.226	31	-23	+0	+4	+5	+8	-0.5
2019	29	AAA	2 teams	327	306	69	16	0	19	15	89	3	0	0	.225	.269	.464	.733	.239	.249	27	5	.306	92	-3	+0	+3	+6	+9	1.6
2020	30	MLB	New York Yankees	48	48	11	1	0	3	0	11	0	0	0	.229	.229	.438	.667	.208	.235	23	0	.280	72	-1	+0	+3	+1	+1	0.4
2021	31	MLB	New York Yankees	211	193	36	11	0	10	17	59	0	0	0	.187	.252	.399	.651	.212	.208	28	8	.281	73	-6	+0	+8	+4	+6	1.1
2022	32	MLB	New York Yankees	248	229	53	7	0	10	12	52	1	0	1	.231	.273	.393	.666	.162	.251	21	5	.280	73	-8	-0	+13	+4	+7	1.7
2023	33	MLB	New York Yankees	260	242	57	14	0	9	14	74	0	0	0	.236	.277	.405	.682	.169	.296	28	5	.292	81	-5	+0	+10	+5	+7	1.7
2024	34	MLB	San Diego Padres	263	246	53	10	1	15	15	74	0	2	0	.215	.261	.447	.708	.232	.241	28	6	.307	93	-2	+0	+6	+5	+7	1.7
2025	35	MLB	Texas Rangers	327	303	73	14	1	11	20	72	2	3	1	.241	.292	.403	.695	.162	.279	22	6	.303	90	-4	+0	+5	+6	+9	1.6
▸ 2026 Season (actual · ROS · total)
2026	36	MLB	Texas Rangers	38	33	8	1	0	1	5	10	0	0	0	.242	.342	.364	.706	.121	.318	26	13	.320	103	+0	+0	-1	+1	+1	0.1
ROS	36	MLB	TEX	166	153	35	7	1	7	11	41	1	1	0	.229	.285	.425	.710	.196	.255	25	7	.300	88	-2	+0	+3	+3	+5	0.9
TOT	36	MLB	TEX	204	186	43	8	1	8	16	51	1	1	0	.231	.296	.414	.710	.183	.273	25	8	.304	91	-2	+0	+2	+4	+6	0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	37	MLB	TEX	103	95	20	4	0	4	7	24	0	1	0	.211	.265	.379	.644	.168	.242	23	7	.289	79	-2	+0	-5	+2	+3	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			4091	3800	787	173	5	140	223	979	21	12	8	.207	.255	.366	.621	.159	.238	24	5	.268	63	-170	-1	+52	+73	+116	7.1
/ 162G	—			650	604	125	27	1	22	35	156	3	2	1	.207	.254	.364	.618	.157	.238	24	5	.268	63	-27	+0	+8	+12	+18	1.1

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
2008	18	ROK	GCL Yankees	50	46	12	1	0	1	2	8	1	0	0	.261	.306	.348	.654	.087	.289	16	4	.291	81	-1	+0	—	—	+1	0.0
2010	20	A	Charleston RiverDogs	359	320	72	18	0	6	31	64	5	0	2	.225	.303	.338	.641	.113	.263	18	9	.291	81	-8	-1	—	—	+10	0.2
2011	21	A+	Tampa Yankees	180	164	39	10	0	4	14	22	1	1	0	.238	.302	.372	.674	.134	.252	12	8	.302	89	-2	+0	—	—	+5	0.3
2011	21	A	Charleston RiverDogs	144	130	29	6	0	4	9	19	2	0	0	.223	.284	.362	.645	.138	.229	13	6	.285	76	-4	+0	—	—	+4	0.0
2012	22	AA	Trenton Thunder	26	23	2	0	0	0	2	8	0	0	0	.087	.160	.087	.247	.000	.125	31	8	.123	-47	-4	+0	—	—	+1	-0.4
2012	22	A+	Tampa Yankees	139	124	23	5	0	6	10	34	0	1	1	.185	.244	.371	.615	.185	.198	24	7	.264	60	-6	-0	—	—	+4	-0.3
2013	23	AA	Trenton Thunder	26	25	8	3	0	1	0	5	0	0	0	.320	.320	.560	.880	.240	.368	19	0	.367	139	+1	+0	—	—	+1	0.2
2014	24	A+	Tampa Yankees	31	26	6	3	0	1	4	4	0	0	0	.231	.333	.462	.795	.231	.227	13	13	.340	118	+1	+0	—	—	+1	0.2
2014	24	ROK	GCL Yankees1	27	23	5	1	0	0	3	7	0	0	0	.217	.308	.261	.569	.043	.294	26	11	.259	57	-1	+0	—	—	+1	-0.1
2014	24	INTL	Scottsdale Scorpions	25	22	9	3	0	1	3	2	0	1	1	.409	.480	.682	1.162	.273	.421	8	12	.502	242	+4	-0	—	—	+1	0.5
2015	25	AAA	Scranton/Wilkes-Barre RailRiders	17	17	3	1	0	0	0	4	0	0	0	.176	.176	.235	.412	.059	.231	24	0	.182	-2	-2	+0	—	—	+0	-0.2
2015	25	A+	Tampa Yankees	331	307	78	18	2	5	22	49	1	0	0	.254	.306	.375	.681	.121	.287	15	7	.305	91	-3	+0	—	—	+9	0.6
2016	26	AAA	Scranton/Wilkes-Barre RailRiders	160	148	37	9	0	10	12	31	0	0	1	.250	.306	.514	.820	.264	.252	19	8	.356	131	+6	-0	—	—	+5	1.0
2016	26	AA	Trenton Thunder	256	222	65	15	0	11	26	42	0	0	1	.293	.367	.509	.876	.216	.305	16	10	.373	144	+13	-0	—	—	+7	2.0
2017	27	MLB	New York Yankees	20	18	0	0	0	0	2	6	0	0	0	.000	.100	.000	.100	.000	.000	30	10	.070	-88	-4	+0	+1	+1	+1	-0.1
2017	27	AAA	Scranton/Wilkes-Barre RailRiders	57	53	14	4	0	2	4	7	0	0	0	.264	.316	.453	.769	.189	.273	12	7	.339	118	+1	+0	—	—	+2	0.3
2018	28	MLB	New York Yankees	79	72	12	2	0	3	6	16	1	0	0	.167	.241	.319	.560	.153	.170	20	8	.254	53	-4	+0	+4	+5	+2	0.8
2018	28	AAA	Scranton/Wilkes-Barre RailRiders	211	188	38	10	1	5	17	44	3	2	0	.202	.278	.346	.623	.144	.234	21	8	.279	72	-7	+0	—	—	+6	-0.0
2019	29	MLB	New York Yankees	57	56	12	5	0	3	0	26	0	0	0	.214	.214	.464	.679	.250	.321	46	0	.286	77	-1	+0	+3	+6	+2	1.0
2019	29	AAA	Scranton/Wilkes-Barre RailRiders	270	241	67	13	0	20	24	53	3	0	0	.278	.351	.581	.932	.303	.276	20	9	.400	164	+20	+0	—	—	+8	2.8
2020	30	MLB	New York Yankees	48	48	12	1	0	4	0	11	0	0	0	.250	.250	.521	.771	.271	.242	23	0	.332	112	+1	+0	+3	+1	+1	0.6
2021	31	MLB	New York Yankees	211	193	35	10	0	10	17	59	0	0	0	.181	.248	.389	.636	.207	.200	28	8	.280	72	-7	+0	+8	+4	+6	1.1
2022	32	MLB	New York Yankees	248	229	52	7	0	10	12	52	1	0	1	.227	.269	.389	.657	.162	.246	21	5	.285	76	-7	-0	+13	+4	+7	1.8
2023	33	MLB	New York Yankees	260	242	57	13	0	10	14	74	0	0	0	.236	.277	.413	.691	.178	.292	28	5	.300	88	-4	+0	+10	+5	+7	1.9
2024	34	MLB	San Diego Padres	263	246	54	10	1	17	15	74	0	2	0	.220	.264	.476	.740	.256	.237	28	6	.319	102	+1	+0	+6	+5	+7	2.0
2025	35	MLB	Texas Rangers	327	303	73	14	1	11	20	72	2	3	1	.241	.292	.403	.695	.162	.279	22	6	.307	93	-3	+0	+5	+6	+9	1.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1513	1407	307	62	2	68	86	390	4	5	2	.218	.265	.410	.675	.192	.249	26	6	.295	84	-28	+0	+54	+37	+43	10.8

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
Kyle Higashioka (OGILVIE)	36	45	50	35	50	.220/.274/.404	.184	.246	8	2	23%	7%	88	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Olivo 2014 · MLB	36	42→52	54→60	39→50	38	.229/.261/.399	.170	.274	24	7	27%	4%	80	+0.4	.243/.283/.399	.156	.327	18	8	30%	5%	89	+1.0	.232/.272/.372	.140	.326	15	8	33%	5%	73	-0.1
✕Brooks Conrad 2015 · MLB	35	41→44	56→55	37→50	41	.220/.276/.411	.190	.285	25	3	32%	7%	89	+1.0	.194/.254/.321	.127	.261	14	6	30%	6%	57	-1.2	.146/.214/.229	.083	.201	8	3	30%	6%	14	-2.2
●Scott McClain 2008 · MLB	36	39→45	55	41→40	45	.215/.269/.394	.178	.243	24	4	24%	7%	82	+0.5	.233/.297/.412	.179	.272	23	6	23%	8%	98	+1.6	.240/.309/.430	.190	.274	25	4	22%	9%	107	+2.2
✕Jonathan Aceves 2014 · AAA	36	43	50→55	43→30	44	.224/.275/.376	.153	.269	18	5	25%	6%	80	+0.4	.230/.289/.364	.134	.276	16	4	22%	6%	82	+0.5	.243/.313/.364	.121	.289	14	1	20%	7%	90	+0.5
✕Rod Barajas 2012 · MLB	36	43→47	56→60	46→30	45	.235/.282/.422	.187	.245	26	2	18%	5%	95	+1.4	.229/.297/.391	.162	.255	21	4	20%	7%	93	+1.3	.208/.287/.344	.137	.230	19	0	19%	8%	69	-0.2
✕Adam Rosales 2019 · MLB	36	40→48	50→55	43→45	42	.212/.268/.367	.156	.271	19	6	29%	6%	75	-0.0	.203/.251/.328	.125	.275	15	6	31%	5%	57	-1.2	.172/.213/.259	.088	.245	12	2	34%	4%	19	-1.9
✕John Buck 2014 · MLB	34	42→52	51→55	43→30	51	.219/.300/.370	.151	.258	20	3	24%	9%	89	+1.0	.232/.300/.359	.127	.289	15	5	24%	8%	85	+0.7	.238/.300/.312	.074	.311	6	0	24%	7%	70	-0.1
✕Nick Hundley 2019 · MLB	35	48→45	53→55	46→40	44	.247/.297/.424	.177	.303	20	4	25%	7%	102	+1.8	.227/.279/.384	.157	.303	18	6	30%	6%	83	+0.6	.167/.203/.288	.122	.239	14	0	36%	4%	25	-0.8
✕Carlos Valencia 2016 · AAA	36	42→52	49→60	40	40	.222/.255/.363	.141	.252	19	4	21%	4%	68	-0.5	.218/.253/.326	.108	.260	13	5	22%	4%	56	-1.3	.215/.249/.296	.080	.259	10	3	21%	4%	46	-0.9
✕Sal Fasano 2008 · MLB	36	43	53→55	44→40	38	.226/.284/.395	.168	.279	23	4	28%	4%	89	+1.0	.209/.266/.328	.119	.287	12	6	31%	4%	64	-0.8	.184/.237/.271	.087	.271	7	4	33%	3%	34	-0.9
●Vinny Castilla 2002 · MLB	35	48→53	52→60	36→40	47	.246/.293/.413	.167	.264	20	3	17%	6%	97	+1.5	.253/.297/.423	.170	.270	20	3	15%	5%	101	+1.8	.264/.321/.464	.200	.282	23	2	16%	7%	115	+2.8
✕Hernando Arredondo 2014 · AAA	37	49→56	51→50	41→50	40	.251/.278/.407	.156	.281	19	6	19%	3%	89	+0.9	.242/.280/.373	.131	.283	15	5	20%	4%	81	+0.4	.242/.284/.345	.103	.288	12	2	20%	4%	70	-0.1
✕Vance Wilson 2009 · MLB	36	49	50→55	40	43	.249/.295/.405	.156	.287	18	8	20%	5%	95	+1.4	.239/.300/.406	.167	.292	21	6	25%	6%	98	+1.6	.226/.282/.384	.158	.272	23	0	26%	5%	82	+0.2
✕Pedro Diaz 2015 · AAA	36	43→47	50	44→45	36	.228/.249/.376	.148	.265	20	4	23%	2%	69	-0.4	.231/.260/.366	.135	.276	17	4	23%	3%	70	-0.3	.239/.272/.378	.138	.283	18	0	22%	3%	74	-0.0
✕Cody Ransom 2011 · MLB	35	42→41	53→55	48→50	44	.221/.281/.393	.172	.275	20	8	28%	7%	87	+0.8	.220/.290/.402	.182	.297	22	8	32%	8%	93	+1.3	.209/.290/.400	.192	.287	24	6	34%	10%	89	+0.5
✕Benito Santiago 2001 · MLB	36	50→56	50	44→45	50	.252/.309/.403	.151	.278	18	7	17%	7%	101	+1.8	.262/.304/.398	.136	.294	13	6	15%	6%	97	+1.5	.274/.318/.431	.157	.301	17	3	15%	6%	106	+1.4
✕Ernie Young 2006 · MLB	37	47→54	51→50	44→40	47	.239/.320/.391	.153	.315	20	8	30%	9%	103	+1.9	.232/.306/.372	.140	.300	17	5	27%	8%	92	+1.2	.221/.294/.349	.128	.282	16	1	26%	7%	78	+0.1
●Eliezer Alfonzo 2016 · AAA	37	45→55	52→60	44→40	35	.240/.272/.398	.158	.292	22	5	27%	3%	84	+0.6	.266/.296/.456	.190	.315	27	7	25%	3%	110	+2.4	.291/.316/.504	.212	.334	33	3	23%	2%	130	+2.2
✕Matt McBride 2019 · MLB	34	40→50	50→55	42→40	45	.211/.268/.372	.161	.245	18	4	23%	6%	76	+0.0	.216/.266/.391	.175	.257	23	6	26%	6%	80	+0.4	.184/.222/.370	.186	.199	30	0	27%	4%	53	-0.4
✕Edgard Clemente 2012 · AAA	36	51	53→55	42→40	47	.261/.320/.434	.173	.305	21	6	22%	7%	114	+2.7	.246/.301/.410	.164	.314	20	11	27%	6%	99	+1.7	.244/.306/.429	.185	.305	25	9	28%	7%	104	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)