Tyler Wade — OGILVIE

Tyler Wade2B Round Rock Express

Age 31 L/R 6'0" / 188 lbs AAA K +3% Svc 9.000 · Ctrl thru 2026

wRC+†vL 1350vR 49

AVG/OBP/SLG.210 / .287 / .273

PA298

HR2

SB17

K%24

BB%9

xwOBA.247

Barrel%0.0%

MLB%10%

Scouting · now → future

HIT

45→45

PWR

30→30

SPD

55→55

EYE

52↗55

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 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-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
2013	18	ROK	GCL Yankees1	198	174	40	7	0	0	20	60	2	11	1	.230	.316	.270	.586	.040	.351	30	10	.269	64	-8	+2	+0	+1	+6	0.0
2014	19	A	Charleston RiverDogs	576	532	125	18	5	1	32	159	6	22	13	.235	.286	.293	.579	.058	.330	28	6	.257	55	-29	-1	+0	+2	+16	-1.2
2015	20	A+	3 teams	585	536	124	15	3	3	33	134	3	35	17	.231	.280	.287	.567	.056	.300	23	6	.250	50	-33	+0	+0	+2	+17	-1.5
2016	21	AA	2 teams	654	590	145	16	7	5	50	148	8	37	9	.246	.313	.322	.635	.076	.319	23	8	.282	74	-19	+4	+0	+2	+19	0.6
2017	22	AAA	2 teams	451	413	107	24	3	5	29	109	4	27	6	.259	.314	.368	.682	.109	.337	24	6	.298	87	-7	+3	-2	+2	+13	0.8
2018	23	AAA	2 teams	478	444	94	19	4	4	27	121	3	12	8	.212	.262	.300	.561	.088	.280	25	6	.249	49	-28	-1	+1	+2	+14	-1.3
2019	24	AAA	2 teams	443	405	99	18	5	5	25	119	5	20	5	.244	.297	.351	.647	.106	.332	27	6	.282	74	-13	+2	+0	+2	+13	0.3
2020	25	MLB	New York Yankees	105	88	13	2	0	2	12	22	3	4	1	.148	.272	.239	.510	.091	.169	21	11	.251	50	-6	+0	+4	+1	+3	0.3
2021	26	MLB	New York Yankees	145	128	35	6	1	0	16	37	1	17	6	.273	.359	.336	.695	.062	.385	26	11	.301	88	-2	+1	-0	+2	+4	0.5
2022	27	AAA	2 teams	337	302	60	11	1	4	27	77	2	23	6	.199	.269	.281	.550	.083	.252	23	8	.245	46	-21	+2	-2	+1	+10	-1.0
2023	28	AAA	2 teams	455	408	101	16	2	5	35	122	5	46	9	.248	.315	.333	.648	.086	.340	27	8	.284	76	-12	+6	+1	+5	+13	1.2
2024	29	MLB	San Diego Padres	156	139	31	3	0	0	11	29	2	8	1	.223	.289	.245	.534	.022	.282	19	7	.243	44	-10	+1	-2	+1	+4	-0.5
2025	30	MLB	2 teams	248	216	47	5	2	1	25	66	2	11	4	.218	.305	.273	.578	.056	.307	27	10	.255	54	-13	+1	-2	+1	+7	-0.7
▸ 2026 Season (actual · ROS · total)
2026	31	AAA	Round Rock Express	73	64	13	1	0	0	6	17	1	4	3	.203	.282	.219	.500	.016	.265	23	8	.225	30	-6	-0	+0	+0	+2	-0.4
ROS	31	MLB	TEX	225	201	42	5	1	1	20	54	2	13	4	.209	.287	.259	.546	.050	.277	24	9	.258	56	-11	+1	+0	+1	+6	-0.3
TOT	31	MLB	TEX	298	265	55	6	1	1	26	71	3	17	7	.208	.286	.249	.535	.042	.276	24	9	.250	50	-17	+1	+0	+1	+8	-0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 20%	TEX	279	249	52	6	1	2	25	58	3	15	4	.209	.289	.265	.554	.056	.265	21	9	.258	56	-14	+1	-3	+1	+8	-0.7
2028	33	MLB 33%	TEX	249	222	45	5	1	1	22	54	3	12	3	.203	.283	.248	.531	.045	.264	22	9	.253	52	-14	+1	-4	+1	+7	-0.8
2029	34	MLB 43%	TEX	207	184	37	4	1	1	19	46	2	10	3	.201	.283	.250	.533	.049	.262	22	9	.247	47	-12	+1	-5	+1	+6	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			5791	5231	1197	180	37	40	428	1415	56	323	100	.229	.294	.300	.594	.071	.304	24	7	.266	61	-252	+25	-14	+26	+164	-5.3
/ 162G	—			650	587	134	20	4	4	48	159	6	36	11	.228	.293	.296	.589	.068	.304	24	7	.266	61	-28	+3	-2	+3	+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
2013	18	ROK	GCL Yankees1	198	162	50	10	0	0	32	42	2	11	1	.309	.429	.370	.799	.062	.417	21	16	.368	140	+9	+2	—	—	+6	1.7
2014	19	A	Charleston RiverDogs	576	507	138	24	6	1	57	118	6	22	13	.272	.353	.349	.702	.077	.349	20	10	.319	102	+1	-1	—	—	+16	1.7
2015	20	AA	Trenton Thunder	117	113	23	4	0	1	2	24	1	2	1	.204	.224	.265	.490	.062	.250	21	2	.219	26	-10	+0	—	—	+3	-0.7
2015	20	A+	Tampa Yankees	418	368	103	11	5	2	39	65	2	31	15	.280	.352	.353	.705	.073	.331	16	9	.316	100	-0	+0	—	—	+12	1.2
2015	20	INTL	Surprise Saguaros	50	41	9	2	0	0	6	7	0	2	1	.220	.319	.268	.587	.049	.257	14	12	.262	59	-2	+0	—	—	+1	-0.1
2016	21	AA	Trenton Thunder	583	505	131	16	7	5	66	103	7	27	8	.259	.353	.349	.701	.089	.317	18	11	.320	103	+2	+2	—	—	+17	2.1
2016	21	INTL	Scottsdale Scorpions	71	54	13	0	1	0	13	11	1	10	1	.241	.386	.278	.663	.037	.295	15	18	.314	98	-0	+2	—	—	+2	0.4
2017	22	MLB	New York Yankees	63	58	9	4	0	0	5	19	0	1	1	.155	.222	.224	.446	.069	.231	30	8	.209	18	-6	-0	-2	+2	+2	-0.5
2017	22	AAA	Scranton/Wilkes-Barre RailRiders	388	339	105	22	4	7	38	75	4	26	5	.310	.384	.460	.844	.150	.375	19	10	.371	142	+18	+3	—	—	+11	3.3
2018	23	MLB	New York Yankees	70	66	11	4	0	1	4	23	0	1	0	.167	.214	.273	.487	.106	.238	33	6	.221	27	-6	+0	+1	+2	+2	-0.1
2018	23	AAA	Scranton/Wilkes-Barre RailRiders	408	364	93	18	4	4	37	82	3	11	8	.255	.329	.360	.689	.104	.318	20	9	.310	96	-2	-1	—	—	+12	0.9
2019	24	MLB	New York Yankees	108	94	23	3	1	2	11	28	1	7	0	.245	.330	.362	.692	.117	.328	26	10	.309	95	-1	+1	+0	+2	+3	0.6
2019	24	AAA	Scranton/Wilkes-Barre RailRiders	335	301	89	19	4	4	23	76	4	13	5	.296	.353	.425	.778	.130	.381	23	7	.341	119	+7	+1	—	—	+9	1.8
2020	25	MLB	New York Yankees	105	88	15	3	0	3	12	22	3	4	1	.170	.291	.307	.598	.136	.188	21	11	.274	68	-4	+0	+4	+1	+3	0.5
2021	26	MLB	New York Yankees	145	127	34	5	1	0	16	37	1	17	6	.268	.352	.323	.675	.055	.378	26	11	.312	97	-0	+1	-0	+2	+4	0.6
2022	27	MLB	Los Angeles Angels	163	147	32	5	0	1	10	33	1	8	5	.218	.272	.272	.544	.054	.274	20	6	.244	45	-10	-0	-2	+1	+5	-0.7
2022	27	AAA	Scranton/Wilkes-Barre RailRiders	174	145	33	7	1	4	27	37	1	15	1	.228	.353	.372	.725	.145	.276	21	16	.330	111	+2	+3	—	—	+5	1.0
2023	28	MLB	Oakland Athletics	55	51	13	1	1	0	4	13	0	4	0	.255	.309	.314	.623	.059	.342	24	7	.284	76	-2	+1	+1	+5	+2	0.7
2023	28	AAA	Las Vegas Aviators	400	340	99	20	1	6	47	86	5	42	9	.291	.384	.409	.793	.118	.373	22	12	.354	129	+13	+5	—	—	+11	3.0
2024	29	MLB	San Diego Padres	156	138	30	3	0	0	11	29	2	8	1	.217	.283	.239	.522	.022	.275	19	7	.240	42	-10	+1	-2	+1	+4	-0.6
2025	30	MLB	San Diego Padres	127	107	22	1	2	0	15	31	1	1	2	.206	.309	.252	.561	.047	.289	24	12	.259	56	-6	-1	-2	+1	+4	-0.5
2025	30	AAA	El Paso Chihuahuas	121	104	29	5	0	1	15	26	1	10	2	.279	.375	.356	.731	.077	.359	21	12	.335	114	+2	+1	—	—	+3	0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			992	876	189	29	5	7	88	235	9	51	16	.216	.293	.284	.578	.068	.287	24	9	.264	60	-45	+4	-3	+15	+28	-0.0

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
Tyler Wade (OGILVIE)	31	45	30	55	55	.210/.287/.273	.063	.278	2	17	24%	9%	58	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Trent Durrington 2007 · MLB	31	48→45	39→40	59→60	44	.230/.283/.316	.086	.295	6	35	24%	6%	66	-0.6	.221/.280/.304	.083	.284	6	28	23%	7%	62	-0.9	.211/.282/.265	.054	.271	2	33	21%	8%	50	-0.7
✕Billy Hamilton 2022 · MLB	31	44→54	40	59→70	43	.212/.267/.310	.098	.290	7	32	28%	7%	58	-1.2	.191/.250/.285	.094	.293	8	33	35%	7%	45	-2.1	.137/.206/.179	.042	.227	2	52	38%	8%	-3	-1.1
✕Tony Campana 2016 · MLB	30	50→60	35→30	56→70	43	.235/.280/.297	.063	.306	2	28	23%	6%	59	-1.1	.216/.261/.282	.066	.257	5	18	17%	5%	47	-1.9	.240/.274/.300	.060	.287	1	25	16%	4%	53	-1.0
✕Quintin Berry 2016 · AAA	31	46→56	37→40	58→65	48	.216/.287/.282	.066	.288	5	33	25%	8%	60	-1.0	.219/.281/.287	.068	.305	5	33	28%	7%	58	-1.2	.220/.278/.269	.049	.316	3	44	29%	6%	48	-0.8
✕Esix Snead 2006 · AAA	30	47	37→30	62→65	50	.220/.294/.296	.076	.268	4	42	19%	8%	66	-0.6	.219/.283/.300	.081	.266	6	35	19%	7%	63	-0.9	.204/.265/.243	.038	.243	4	46	16%	8%	38	-0.7
✕Tony Gwynn Jr. 2013 · MLB	30	50→57	38→40	59→60	50	.233/.294/.321	.087	.281	4	28	18%	8%	72	-0.2	.229/.293/.300	.071	.278	4	18	18%	8%	66	-0.6	.222/.290/.276	.054	.264	2	15	16%	8%	55	-0.7
✕Delino DeShields 2023 · MLB	30	46→53	37→45	55→65	52	.210/.304/.283	.072	.301	5	30	29%	11%	69	-0.4	.215/.297/.289	.074	.316	5	24	30%	10%	66	-0.6	.234/.314/.288	.054	.387	0	11	35%	9%	68	-0.1
✕Joey Gathright 2012 · MLB	31	50→60	35→30	53→60	46	.236/.280/.295	.059	.284	3	24	18%	6%	59	-1.1	.232/.277/.314	.082	.298	6	14	23%	5%	63	-0.8	.265/.303/.304	.039	.346	0	13	22%	3%	67	-0.1
✕Todd Donovan 2009 · AAA	30	50→53	37→40	60→65	48	.236/.296/.308	.072	.298	4	38	21%	7%	69	-0.4	.231/.311/.314	.083	.302	5	32	23%	10%	78	+0.2	.225/.320/.302	.077	.294	4	38	22%	12%	77	+0.1
✕Tyler Graham 2014 · AAA	30	48→54	38→40	61→65	44	.228/.289/.309	.080	.290	5	38	22%	6%	67	-0.5	.233/.279/.310	.077	.290	6	28	21%	5%	63	-0.9	.240/.280/.291	.051	.298	4	38	20%	4%	54	-1.1
✕Alexi Casilla 2015 · MLB	31	49→59	38→40	57→60	46	.230/.276/.309	.079	.269	5	27	16%	6%	61	-1.0	.239/.278/.323	.084	.284	6	14	17%	5%	66	-0.6	.242/.278/.315	.073	.288	5	12	17%	5%	58	-0.6
✕Ian Miller 2021 · MLB	29	46→56	41→40	58→60	44	.224/.277/.328	.104	.277	8	30	22%	6%	67	-0.5	.230/.280/.324	.094	.289	7	22	22%	6%	67	-0.5	.235/.285/.308	.073	.299	3	25	21%	5%	63	-0.6
✕Jack Reinheimer 2023 · AAA	31	43→51	40	55	40	.209/.262/.297	.088	.290	8	20	30%	6%	53	-1.5	.186/.232/.268	.082	.274	7	16	33%	5%	33	-2.9	.143/.180/.193	.050	.195	3	12	28%	4%	-11	-1.3
●Julio Borbon 2016 · MLB	30	52→61	36→40	56→60	44	.247/.283/.308	.061	.293	4	29	17%	5%	63	-0.9	.268/.304/.348	.080	.313	7	26	16%	5%	82	+0.5	.290/.329/.371	.082	.335	7	27	15%	5%	97	+1.1
✕Darren Ford 2016 · AAA	30	45→53	40→45	58→65	43	.221/.273/.310	.089	.287	9	40	26%	6%	60	-1.0	.221/.273/.300	.079	.289	6	25	24%	6%	58	-1.2	.219/.271/.264	.046	.292	1	23	24%	6%	44	-1.5
✕Chase d'Arnaud 2018 · MLB	31	48→49	40→45	57→60	46	.229/.281/.320	.092	.275	7	25	19%	6%	66	-0.6	.213/.277/.342	.129	.290	14	20	30%	7%	72	-0.2	.193/.263/.325	.132	.270	15	19	33%	7%	60	-0.7
✕Johnny Davis 2019 · AAA	29	50→55	36→30	59→65	38	.231/.274/.295	.065	.333	3	32	31%	5%	56	-1.3	.231/.273/.309	.078	.309	6	42	26%	5%	59	-1.1	.238/.279/.304	.067	.311	4	58	24%	4%	59	-0.9
✕Emilio Bonifácio 2016 · MLB	31	52→61	38→40	55→65	45	.247/.295/.332	.085	.311	5	29	22%	6%	75	-0.0	.248/.289/.323	.075	.305	4	29	19%	6%	70	-0.3	.246/.288/.332	.086	.306	5	33	20%	5%	68	-0.2
✕Craig Gentry 2016 · MLB	32	50→55	38→40	58→60	47	.238/.299/.311	.073	.293	5	31	20%	7%	72	-0.2	.223/.284/.302	.079	.283	6	24	22%	7%	63	-0.8	.224/.290/.298	.074	.287	4	29	22%	7%	62	-0.3
✕Andrew Romine 2017 · MLB	31	49→54	40	55	46	.236/.294/.321	.085	.292	8	22	21%	7%	72	-0.2	.232/.288/.331	.099	.287	8	15	21%	6%	72	-0.2	.230/.280/.321	.090	.284	8	17	21%	5%	64	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)