Gio Urshela — OGILVIE

Gio Urshela3B Athletics

Age 34 R/R 6'0" / 215 lbs MLB HR -6%K -4% Svc 11.000 · Ctrl thru 2026 peak 0.3 · 2026

wRC+†vL 3479vR 85

AVG/OBP/SLG.243 / .292 / .348

PA285

HR4

K%18

BB%6

xwOBA.286

Barrel%2.1%

MLB%100%

Scouting · now → future

HIT

55→55

PWR

40→40

SPD

25→25

EYE

41↘35

trajectory · 10 yrs

0.0peak

2026

Barrel%

102.1

xwOBA

310.286

Avg EV

2186.9

Whiff%

120.153

Chase%

100.425

Speed

1024.2

Bat Spd

2568.6

Contract

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

Status FA

MLB Debut 2015

Service 11.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.3	$1M	+$0.2M
Totals		$1M		$1M	+$0.2M

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
2009	17	ROK	AZL Indians	236	219	45	7	1	1	11	38	2	5	2	.205	.250	.260	.510	.055	.240	16	5	.221	27	-19	+0	+0	+1	+7	-1.2
2011	19	A	Lake County Captains	529	510	108	20	2	6	9	89	4	3	0	.212	.231	.294	.525	.082	.243	17	2	.226	31	-41	+1	+0	+2	+15	-2.4
2012	20	A+	Carolina Mudcats	475	444	105	23	1	14	10	90	7	1	1	.236	.265	.387	.652	.151	.261	19	2	.273	67	-18	-0	+0	+2	+13	-0.3
2013	21	AA	Akron Aeros	466	450	110	20	2	8	9	62	1	1	1	.244	.261	.351	.612	.107	.267	13	2	.261	58	-22	-0	+0	+2	+13	-0.8
2014	22	AAA	3 teams	646	606	142	35	7	19	28	100	6	1	4	.234	.275	.409	.684	.175	.250	15	4	.291	81	-14	-1	+0	+2	+18	0.5
2015	23	MLB	2 teams	372	349	77	11	2	8	20	72	2	0	1	.221	.267	.332	.599	.112	.257	19	5	.265	61	-16	-0	+6	+1	+11	0.1
2016	24	AAA	2 teams	670	644	151	26	1	8	13	98	2	1	0	.234	.252	.315	.567	.081	.261	15	2	.245	46	-41	+0	+0	+2	+19	-2.0
2017	25	AAA	2 teams	490	461	108	17	1	5	20	77	5	0	0	.234	.274	.308	.582	.074	.270	16	4	.258	56	-25	+0	-2	+2	+14	-1.1
2018	26	AAA	3 teams	386	368	89	17	2	3	14	64	2	0	0	.242	.273	.323	.597	.082	.285	17	4	.267	62	-16	+0	-2	+4	+11	-0.3
2019	27	MLB	New York Yankees	476	442	140	37	0	20	25	87	5	1	1	.317	.360	.536	.896	.219	.354	18	5	.385	153	+28	-0	-4	+2	+13	4.0
2020	28	MLB	New York Yankees	174	151	41	9	0	4	18	25	1	1	0	.272	.353	.411	.764	.139	.294	14	10	.339	118	+3	+0	-0	+1	+5	0.9
2021	29	MLB	New York Yankees	442	420	113	20	2	14	20	109	1	1	0	.269	.304	.426	.730	.157	.332	25	5	.316	100	-0	+0	-1	+2	+13	1.3
2022	30	MLB	Minnesota Twins	551	501	140	27	3	12	41	96	2	1	0	.279	.336	.417	.754	.138	.320	17	7	.326	108	+5	+0	-2	+2	+16	2.1
2023	31	MLB	Los Angeles Angels	228	214	67	7	1	2	10	36	1	3	2	.313	.347	.383	.730	.070	.363	16	4	.320	103	+1	-0	-0	+1	+6	0.8
2024	32	MLB	Atlanta Braves	461	432	109	18	1	10	23	72	1	0	0	.252	.292	.368	.660	.116	.279	16	5	.287	78	-12	+0	+4	+2	+13	0.7
2025	33	MLB	3 teams	281	257	62	19	1	1	19	59	1	0	1	.241	.296	.335	.631	.093	.307	21	7	.270	65	-11	-0	-1	+1	+8	-0.4
▸ 2026 Season
2026	34	MLB	OAK	285	264	64	13	1	4	18	51	1	2	1	.242	.293	.345	.638	.102	.286	18	6	.288	79	-7	+0	+0	+1	+8	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	35	MLB	OAK	228	211	51	10	1	3	14	43	1	1	0	.242	.292	.341	.633	.100	.284	19	6	.280	73	-7	+0	-5	+1	+6	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7396	6943	1722	336	29	142	322	1268	45	22	14	.248	.286	.366	.652	.118	.282	17	4	.283	75	-212	-1	-7	+29	+210	1.8
/ 162G	—			650	610	152	30	3	12	28	111	4	2	1	.249	.287	.367	.654	.118	.284	17	4	.283	75	-19	+0	-1	+3	+18	0.2

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
2009	17	ROK	AZL Indians	236	213	56	10	1	1	17	26	2	5	2	.263	.323	.333	.657	.070	.291	11	7	.295	84	-4	+0	—	—	+7	0.3
2011	19	A	Lake County Captains	529	505	120	24	2	9	14	69	4	3	0	.238	.264	.347	.610	.109	.258	13	3	.269	64	-21	+1	—	—	+15	-0.6
2012	20	A+	Carolina Mudcats	475	438	122	30	1	14	16	61	7	1	1	.279	.315	.447	.762	.169	.291	13	3	.327	108	+4	-0	—	—	+13	1.8
2013	21	AA	Akron Aeros	466	445	120	23	2	8	14	48	1	1	1	.270	.293	.384	.678	.115	.286	10	3	.298	86	-7	-0	—	—	+13	0.6
2014	22	AAA	Columbus Clippers	430	395	109	27	6	13	30	51	3	0	2	.276	.332	.473	.805	.197	.289	12	7	.352	128	+14	-1	—	—	+12	2.5
2014	22	AA	Akron RubberDucks	98	90	27	9	0	5	6	16	1	1	1	.300	.351	.567	.917	.267	.314	16	6	.394	160	+7	-0	—	—	+3	0.9
2014	22	INTL	Aguilas del Zulia	118	108	43	2	3	3	5	13	2	0	1	.398	.435	.556	.990	.157	.421	11	4	.426	184	+11	-0	—	—	+3	1.4
2015	23	MLB	Cleveland Indians	288	267	60	8	1	6	18	58	2	0	1	.225	.279	.330	.608	.105	.266	20	6	.275	68	-10	-0	+6	+1	+8	0.4
2015	23	AAA	Columbus Clippers	84	81	22	5	1	3	3	12	0	0	0	.272	.298	.469	.767	.198	.288	14	4	.335	114	+1	+0	—	—	+2	0.4
2016	24	AAA	Columbus Clippers	491	468	128	24	1	8	15	58	1	0	0	.274	.298	.380	.678	.107	.294	12	3	.298	86	-8	+0	—	—	+14	0.6
2016	24	INTL	Aguilas del Zulia	179	169	57	16	0	3	5	16	1	1	0	.337	.360	.485	.845	.148	.351	9	3	.365	138	+8	+0	—	—	+5	1.3
2017	25	MLB	Cleveland Indians	165	156	35	7	0	1	8	22	0	0	0	.224	.262	.288	.551	.064	.256	13	5	.249	49	-10	+0	-2	+2	+5	-0.5
2017	25	AAA	Columbus Clippers	325	297	79	12	1	6	20	45	5	0	0	.266	.323	.374	.697	.108	.294	14	6	.312	97	-1	+0	—	—	+9	0.8
2018	26	MLB	Toronto Blue Jays	46	43	10	1	0	1	2	10	1	0	0	.233	.283	.326	.608	.093	.281	22	4	.277	70	-2	+0	-2	+4	+1	0.2
2018	26	AAA	Scranton/Wilkes-Barre RailRiders	240	224	64	14	2	2	13	31	1	0	0	.286	.328	.393	.721	.107	.323	13	5	.320	103	+1	+0	—	—	+7	0.8
2018	26	INTL	Tigres del Licey	100	96	22	9	0	1	4	12	0	0	0	.229	.260	.354	.614	.125	.253	12	4	.273	67	-4	+0	—	—	+3	-0.1
2019	27	MLB	New York Yankees	476	442	139	34	0	21	25	87	5	1	1	.314	.358	.534	.892	.219	.349	18	5	.388	155	+29	-0	-4	+2	+13	4.1
2020	28	MLB	New York Yankees	174	151	45	11	0	6	18	25	1	1	0	.298	.376	.490	.867	.192	.315	14	10	.375	145	+9	+0	-0	+1	+5	1.5
2021	29	MLB	New York Yankees	442	420	112	18	2	14	20	109	1	1	0	.267	.302	.419	.721	.152	.329	25	5	.318	102	+1	+0	-1	+2	+13	1.4
2022	30	MLB	Minnesota Twins	551	501	143	27	3	13	41	96	2	1	0	.285	.342	.429	.771	.144	.326	17	7	.340	118	+11	+0	-2	+2	+16	2.8
2023	31	MLB	Los Angeles Angels	228	214	64	8	1	2	10	36	1	3	2	.299	.333	.374	.707	.075	.346	16	4	.315	99	-0	-0	-0	+1	+6	0.7
2024	32	MLB	Atlanta Braves	461	432	108	19	1	9	23	72	1	0	0	.250	.289	.361	.651	.111	.278	16	5	.289	79	-11	+0	+4	+2	+13	0.8
2025	33	MLB	Athletics	197	181	43	14	1	0	13	40	0	0	1	.238	.289	.326	.615	.088	.303	20	7	.274	68	-7	-0	-1	+1	+6	-0.2
2025	33	AAA	Las Vegas Aviators	16	14	7	2	0	1	2	4	0	0	0	.500	.562	.857	1.420	.357	.667	25	12	.604	320	+4	+0	—	—	+0	0.5
2025	33	INTL	Leones del Escogido	68	63	20	4	0	0	3	12	1	0	0	.317	.358	.381	.739	.063	.385	18	4	.330	111	+1	+0	—	—	+2	0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3028	2807	759	147	9	73	178	555	14	7	5	.270	.317	.407	.724	.137	.311	18	6	.320	103	+11	-1	-2	+17	+86	11.3

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
Gio Urshela (OGILVIE)	34	55	40	25	35	.243/.292/.348	.105	.286	4	2	18%	6%	79	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dave Berg 2005 · MLB	34	52→57	43→45	38→40	47	.253/.301/.368	.115	.288	11	3	16%	6%	87	+0.8	.250/.310/.341	.091	.296	7	4	17%	7%	84	+0.6	.263/.328/.336	.074	.314	3	1	16%	8%	92	+1.0
✕Mike Matheny 2005 · MLB	34	50→54	41→45	37→30	50	.243/.303/.344	.101	.283	9	3	17%	8%	82	+0.5	.239/.293/.376	.137	.278	13	3	19%	6%	87	+0.8	.234/.287/.380	.146	.267	14	0	18%	6%	74	-0.0
✕Chris Heintz 2008 · MLB	33	52→54	39→40	38→40	42	.249/.283/.332	.083	.304	6	3	20%	4%	69	-0.4	.230/.271/.317	.087	.273	8	6	18%	5%	61	-1.0	.221/.258/.292	.071	.250	6	3	14%	4%	46	-0.6
✕Jesus Rivera 2012 · AAA	34	52→54	41→40	36→40	51	.246/.294/.342	.096	.262	8	3	10%	6%	77	+0.1	.239/.280/.327	.088	.274	8	5	15%	5%	67	-0.5	.276/.323/.333	.057	.323	2	4	14%	6%	87	+0.3
✕Bobby Wilson 2017 · MLB	34	44→51	41→50	39→40	43	.219/.265/.309	.091	.274	10	3	24%	6%	57	-1.2	.203/.257/.324	.121	.255	15	3	26%	6%	58	-1.2	.174/.231/.288	.115	.214	15	0	26%	6%	36	-0.9
✕Mario Ivan Santana 2010 · AAA	34	57→65	37→40	35→45	47	.269/.303/.343	.074	.293	4	3	10%	5%	81	+0.4	.250/.296/.329	.079	.280	6	5	12%	6%	75	-0.0	.249/.301/.329	.080	.277	6	3	12%	6%	74	-0.0
✕Jamie Burke 2006 · MLB	34	51→48	43→45	40→30	49	.247/.310/.361	.114	.277	10	4	15%	6%	90	+1.0	.243/.292/.355	.112	.270	11	3	14%	5%	81	+0.4	.250/.293/.350	.100	.274	9	0	12%	4%	76	+0.0
✕Roque Sanchez 2009 · AAA	34	53→56	39→45	41→45	41	.253/.277/.336	.083	.279	7	6	12%	2%	68	-0.5	.264/.288/.364	.100	.294	8	5	13%	2%	80	+0.4	.294/.314/.404	.110	.320	8	1	11%	2%	98	+0.7
✕Valentin Gamez 2016 · AAA	33	51	36→40	39→40	48	.242/.292/.308	.066	.283	4	3	16%	6%	67	-0.5	.220/.266/.294	.074	.272	6	6	20%	5%	53	-1.5	.213/.258/.268	.055	.263	4	2	20%	4%	41	-0.6
✕Octavio Sandoval 2007 · AAA	34	52	41→40	40→45	42	.250/.287/.347	.098	.295	8	8	18%	4%	76	+0.0	.248/.272/.335	.087	.285	8	7	16%	3%	66	-0.6	.254/.274/.334	.080	.287	6	5	14%	2%	62	-0.4
✕Luis Carlos Martinez 2008 · AAA	34	55	39→40	41→45	44	.261/.287/.346	.085	.286	7	8	12%	3%	75	-0.0	.249/.271/.316	.067	.283	6	9	14%	3%	60	-1.0	.251/.269/.292	.041	.286	4	8	13%	2%	48	-0.9
✕Ed Lucas 2016 · MLB	34	54→56	38→45	42→50	45	.253/.304/.331	.077	.326	6	5	24%	6%	79	+0.3	.216/.269/.306	.090	.291	7	5	27%	6%	58	-1.2	.179/.231/.260	.082	.244	5	1	28%	6%	27	-2.2
✕Rolando Acosta 2017 · AAA	34	47→57	42→50	40→45	47	.229/.291/.328	.099	.264	9	7	17%	6%	74	-0.1	.222/.277/.317	.095	.264	9	7	19%	5%	65	-0.7	.223/.263/.292	.069	.266	8	2	19%	3%	48	-0.5
✕Humberto Quintero 2015 · MLB	35	48	44→45	41→40	38	.237/.269/.357	.120	.290	11	5	22%	3%	71	-0.3	.234/.264/.339	.105	.290	11	7	23%	3%	64	-0.8	.234/.256/.313	.080	.283	11	3	22%	2%	51	-0.8
✕Kevin Flores 2017 · AAA	32	52→51	39→45	39→45	42	.249/.293/.331	.082	.304	6	4	20%	5%	74	-0.1	.220/.267/.290	.070	.275	4	7	21%	5%	53	-1.5	.200/.245/.234	.034	.255	0	4	20%	4%	26	-1.1
✕Clint Barmes 2013 · MLB	34	48→58	44→55	40→50	47	.236/.294/.350	.115	.274	12	4	19%	6%	80	+0.4	.224/.275/.331	.107	.270	11	3	21%	5%	67	-0.5	.209/.265/.301	.092	.258	6	1	21%	5%	49	-0.5
✕Ivan Cervantes 2013 · AAA	33	50→58	41→45	42→45	44	.240/.281/.336	.096	.279	9	4	17%	5%	71	-0.3	.236/.272/.314	.078	.283	6	6	18%	4%	60	-1.0	.253/.280/.302	.049	.310	3	4	19%	3%	57	-0.9
✕Hector Paez 2010 · AAA	32	50	45	35→40	41	.249/.282/.367	.118	.277	13	4	16%	3%	79	+0.3	.231/.258/.335	.104	.250	12	6	13%	3%	60	-1.0	.242/.273/.347	.105	.258	13	2	12%	2%	69	-0.1
✕Ryan Roberts 2015 · MLB	34	46→52	44→50	41→55	47	.229/.283/.344	.115	.276	12	8	22%	7%	74	-0.1	.234/.285/.367	.133	.268	14	4	18%	7%	81	+0.4	.236/.288/.372	.137	.259	15	0	16%	7%	82	+0.4
✕Sergio Gastelum 2014 · AAA	35	55→64	40	38→50	47	.262/.316/.358	.096	.300	7	5	15%	6%	92	+1.2	.253/.304/.330	.077	.289	5	8	14%	5%	79	+0.3	.249/.302/.304	.056	.282	2	7	12%	6%	69	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)