Tyler Wade

CF Round Rock Express

Age 32 L/R 6'0" / 188 lbs AAA HR +15%BB +5% Svc 10.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	29	MLBSD	156	.217/.283/.239	0	8	50	-0.6
2025	30	AAASD	121	.279/.375/.356	1	10	62	—	.227/.292/.291
2025	30	MLBSD	127	.206/.309/.252	0	1	63	-0.5
2026	31	AAATEX	73	.226/.324/.242	0	4	37	—	.200/.268/.215
2027PROJ10% MLB	32	MLBTEX	12	.215/.292/.272	0	0	63	-0.0
2028PROJ27% MLB	33	MLBTEX	29	.207/.284/.256	0	1	56	-0.2

Last 3 seasons WAR -1.1 · Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service10.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

Speed66

xwOBA13

Barrel%10

Avg EV10

Bat Spd10

CompsTony Gwynn Jr. (age 32) · Munenori Kawasaki (age 33) · Craig Gentry (age 32)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 4763vR 68

AVG/OBP/SLG.215 / .292 / .272

PA12

HR0

K%25

BB%8

BABIP277

ISO72

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 45 / POW 30

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT45

xAVG

100.218

POWER30

Barrel%

100.8

Avg EV

1083.5

Bat Spd

1065.0

EYE55

scouting grade only

SPEED55

Sprint

6628.1

Platoon Splits2024-2025 · 283 PA

vs LHP

vs RHP

Edge

236

—

wRC+

▶▶R

wOBA

211

261

▶▶R

ISO

—

039

—

BABIP

324

282

◀L

29.8%

19.5%

▶▶R

BB%

10.6%

8.9%

◀◀L

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

Status FA

MLB Debut 2017

Service 10.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-0.1M	-$1M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2013	18	ROK	GCL Yankees1	—	198	162	50	10	0	0	32	42	2	11	1	309	429	370	799	62	417	21	16	368	69	—	—	—	—	—	—
2014	19	A	Charleston RiverDogs	—	576	507	138	24	6	1	57	118	6	22	13	272	353	349	702	77	349	20	10	319	73	—	—	—	—	—	—
2015	20	AA	Trenton Thunder	—	117	113	23	4	0	1	2	24	1	2	1	204	224	265	490	62	250	21	2	219	24	—	—	—	—	—	—
2015	20	A+	Tampa Yankees	—	418	368	103	11	5	2	39	65	2	31	15	280	352	353	705	73	331	16	9	316	73	—	—	—	—	—	—
2015	20	INTL	Surprise Saguaros	—	50	41	9	2	0	0	6	7	0	2	1	220	319	268	587	49	257	14	12	262	63	—	—	—	—	—	—
2016	21	AA	Trenton Thunder	—	583	505	131	16	7	5	66	103	7	27	8	259	353	349	701	89	317	18	11	320	85	—	—	—	—	—	—
2016	21	INTL	Scottsdale Scorpions	—	71	54	13	0	1	0	13	11	1	10	1	241	386	278	663	37	295	15	18	314	99	—	—	—	—	—	—
2017	22	MLB	New York Yankees	—	63	58	9	4	0	0	5	19	0	1	1	155	222	224	446	69	231	30	8	209	28	-5	-0	-2	+2	+1	-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	109	—	—	—	—	—	—
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	35	-5	+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	65	—	—	—	—	—	—
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	94	-1	+1	+0	+2	+2	0.5
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	78	—	—	—	—	—	—
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	70	-4	+0	+4	+1	+2	0.4
2021	26	MLB	New York Yankees	—	145	127	34	5	1	0	16	37	1	17	6	268	352	323	675	55	378	26	11	312	94	-1	+1	-0	+2	+3	0.5
2022	27	MLB	Los Angeles Angels	—	163	147	32	5	0	1	10	33	1	8	5	218	272	272	544	54	274	20	6	244	52	-9	-0	-2	+1	+4	-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	55	—	—	—	—	—	—
2023	28	MLB	Oakland Athletics	—	55	51	13	1	1	0	4	13	0	4	0	255	309	314	623	59	342	24	7	284	79	-1	+1	+1	+5	+1	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	81	—	—	—	—	—	—
2024	29	MLB	San Diego Padres	—	156	138	30	3	0	0	11	29	2	8	1	217	283	239	522	22	275	19	7	240	50	-9	+1	-2	+1	+3	-0.6
2025	30	MLB	San Diego Padres	—	127	107	22	1	2	0	15	31	1	1	2	206	309	252	561	47	289	24	12	259	63	-6	-1	-2	+1	+3	-0.5
2025	30	AAA	El Paso Chihuahuas	—	121	104	29	5	0	1	15	26	1	10	2	279	375	356	731	77	359	21	12	335	62	—	—	—	—	—	—
2026	31	AAA	Round Rock Express	—	73	62	14	1	0	0	8	13	1	4	3	226	324	242	566	16	275	18	11	265	37	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	992	876	189	29	5	7	88	235	9	51	16	216	293	284	578	68	287	24	9	264	65	-42	+4	-3	+15	+21	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	GCL Yankees1	—	198	174	41	7	0	0	20	60	2	11	1	236	321	276	597	40	353	30	10	270	69	—	—	—	—	—	—
2014	19	A MLE	Charleston RiverDogs	—	576	528	133	19	6	1	36	162	6	22	13	252	307	316	623	64	351	28	6	276	73	—	—	—	—	—	—
2015	20	AA MLE	Trenton Thunder	—	117	114	24	4	0	1	1	31	1	2	1	211	224	272	496	61	267	26	1	204	24	—	—	—	—	—	—
2015	20	A+ MLE	Tampa Yankees	—	418	377	96	11	4	2	30	91	2	31	15	255	313	321	634	66	313	22	7	276	73	—	—	—	—	—	—
2016	21	AA MLE	Trenton Thunder	—	583	526	137	16	7	4	45	126	7	27	8	260	327	340	667	80	330	22	8	294	85	—	—	—	—	—	—
2017	22	MLB MLE	New York Yankees	—	63	58	9	4	0	0	5	19	0	1	1	155	222	224	446	69	231	30	8	210	28	-5	-0	-2	+2	+1	-0.5
2017	22	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	388	354	104	21	4	5	25	90	4	26	5	294	347	418	765	124	366	23	6	329	109	—	—	—	—	—	—
2018	23	MLB MLE	New York Yankees	—	70	66	11	4	0	1	4	23	0	1	0	167	214	273	487	106	238	33	6	220	35	-5	+0	+1	+2	+2	-0.1
2018	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	408	377	87	16	4	3	24	98	3	11	8	231	282	318	600	88	296	24	6	265	65	—	—	—	—	—	—
2019	24	MLB MLE	New York Yankees	—	108	94	23	3	1	2	11	28	1	7	0	245	330	362	692	117	328	26	10	307	94	-1	+1	+0	+2	+2	0.5
2019	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	335	310	78	15	4	3	15	90	4	13	5	252	295	355	650	103	335	27	4	283	78	—	—	—	—	—	—
2020	25	MLB MLE	New York Yankees	—	105	88	15	3	0	3	12	22	3	4	1	170	291	307	598	136	188	21	11	271	70	-4	+0	+4	+1	+2	0.4
2021	26	MLB MLE	New York Yankees	—	145	129	34	5	1	0	15	37	1	17	6	264	345	318	663	54	378	26	10	308	94	-1	+1	-0	+2	+3	0.5
2022	27	MLB MLE	Los Angeles Angels	—	163	147	32	5	0	1	10	33	1	8	5	218	272	272	544	54	274	20	6	245	52	-9	-0	-2	+1	+4	-0.7
2022	27	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	174	155	28	6	1	3	17	44	1	15	1	181	266	290	556	110	230	25	10	250	55	—	—	—	—	—	—
2023	28	MLB MLE	Oakland Athletics	—	55	51	13	1	1	0	4	13	0	4	0	255	309	314	623	59	342	24	7	285	79	-1	+1	+1	+5	+1	0.7
2023	28	AAA MLE	Las Vegas Aviators	—	400	358	90	15	1	4	30	102	5	42	9	251	318	332	650	81	331	26	8	288	81	—	—	—	—	—	—
2024	29	MLB MLE	San Diego Padres	—	156	139	30	3	0	0	11	29	2	8	1	216	283	237	520	22	275	19	7	243	50	-9	+1	-2	+1	+3	-0.6
2025	30	MLB MLE	San Diego Padres	—	127	107	22	1	2	0	15	31	1	1	2	206	309	252	561	47	289	24	12	261	63	-6	-1	-2	+1	+3	-0.5
2025	30	AAA MLE	El Paso Chihuahuas	—	121	110	25	4	0	1	9	32	1	10	2	227	292	291	583	64	306	26	7	260	62	—	—	—	—	—	—
2026	31	AAA MLE	Round Rock Express	—	73	65	13	1	0	0	5	16	1	4	3	200	268	215	483	15	240	22	7	223	37	—	—	—	—	—	—
2013	18	ROK MLE	GCL Yankees1	—	198	174	41	7	0	0	20	60	2	11	1	236	321	276	597	40	360	30	10	270	69	—	—	—	—	—	—
2013	18	ROK RAW	GCL Yankees1	—	198	162	50	10	0	0	32	42	2	11	1	309	429	370	799	62	417	21	16	368	69	—	—	—	—	—	—
2014	19	A MLE	Charleston RiverDogs	—	576	528	133	19	6	1	36	162	6	22	13	252	307	316	623	64	358	28	6	276	73	—	—	—	—	—	—
2014	19	A RAW	Charleston RiverDogs	—	576	507	138	24	6	1	57	118	6	22	13	272	353	349	702	77	349	20	10	319	73	—	—	—	—	—	—
2015	20	A+ MLE	3 teams	—	585	535	129	16	4	3	34	133	3	35	17	241	290	303	593	62	312	23	6	260	62	—	—	—	—	—	—
2015	20	A+ RAW	3 teams	—	585	522	135	17	5	3	47	96	3	35	17	259	323	328	651	69	308	16	8	292	62	—	—	—	—	—	—
2016	21	AA MLE	2 teams	—	654	589	154	17	8	5	51	141	8	37	9	261	329	343	672	81	335	22	8	294	85	—	—	—	—	—	—
2016	21	AA RAW	2 teams	—	654	559	144	16	8	5	79	114	8	37	9	258	356	342	698	84	314	17	12	319	85	—	—	—	—	—	—
2017	22	AAA MLE	2 teams	—	451	412	113	25	4	5	30	109	4	27	6	274	330	391	720	117	358	24	7	312	98	—	—	—	—	—	—
2017	22	AAA RAW	2 teams	—	451	397	114	26	4	7	43	94	4	27	6	287	361	426	787	139	357	21	10	348	98	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	478	443	98	20	4	4	28	121	3	12	8	221	272	312	584	90	294	25	6	258	61	—	—	—	—	—	—
2018	23	AAA RAW	2 teams	—	478	430	104	22	4	5	41	105	3	12	8	242	312	347	659	105	307	22	9	297	61	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	443	404	101	18	5	5	26	118	5	20	5	250	303	356	660	106	339	27	6	289	82	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	443	395	112	22	5	6	34	104	5	20	5	284	347	410	757	127	369	23	8	333	82	—	—	—	—	—	—
2020	25	MLB MLE	New York Yankees	—	105	88	15	3	0	3	12	22	3	4	1	170	291	307	598	136	188	21	11	271	70	-4	+0	+4	+1	+2	0.4
2020	25	MLB RAW	New York Yankees	—	105	88	15	3	0	3	12	22	3	4	1	170	291	307	598	136	188	21	11	274	70	-4	+0	+4	+1	+2	0.4
2021	26	MLB MLE	New York Yankees	—	145	129	34	5	1	0	15	37	1	17	6	264	345	318	663	54	370	26	10	308	94	-1	+1	-0	+2	+3	0.5
2021	26	MLB RAW	New York Yankees	—	145	127	34	5	1	0	16	37	1	17	6	268	352	323	675	55	378	26	11	312	94	-1	+1	-0	+2	+3	0.5
2022	27	AAA MLE	2 teams	—	337	302	60	11	1	4	27	77	2	23	6	199	269	281	550	83	252	23	8	248	54	—	—	—	—	—	—
2022	27	AAA RAW	2 teams	—	337	292	65	12	1	5	37	70	2	23	6	223	314	322	636	99	275	21	11	289	54	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	455	409	103	16	2	4	34	115	5	46	9	252	317	330	647	78	340	25	7	288	81	—	—	—	—	—	—
2023	28	AAA RAW	2 teams	—	455	391	112	21	2	6	51	99	5	46	9	286	375	396	771	110	369	22	11	345	81	—	—	—	—	—	—
2024	29	MLB MLE	San Diego Padres	—	156	139	30	3	0	0	11	29	2	8	1	216	283	237	520	22	273	19	7	243	50	-9	+1	-2	+1	+3	-0.6
2024	29	MLB RAW	San Diego Padres	—	156	138	30	3	0	0	11	29	2	8	1	217	283	239	522	22	275	19	7	240	50	-9	+1	-2	+1	+3	-0.6
2025	30	MLB MLE	2 teams	—	248	217	48	5	2	1	24	63	2	11	4	221	305	276	581	55	305	25	10	261	63	-11	+1	-2	+1	+5	-0.7
2025	30	MLB RAW	2 teams	—	248	211	51	6	2	1	30	57	2	11	4	242	342	303	645	62	325	23	12	296	63	-11	+1	-2	+1	+5	-0.7
2026	31	AAA MLE	Round Rock Express	—	73	65	13	1	0	0	5	16	1	4	3	200	268	215	483	15	255	22	7	223	37	—	—	—	—	—	—
2026	31	AAA RAW	Round Rock Express	—	73	62	14	1	0	0	8	13	1	4	3	226	324	242	566	16	275	18	11	265	37	—	—	—	—	—	—
2013	18	ROK MLE	GCL Yankees1	—	198	174	41	7	0	0	20	60	2	11	1	236	321	276	597	40	353	30	10	270	69	—	—	—	—	—	—
2014	19	A MLE	Charleston RiverDogs	—	576	529	133	19	6	1	36	162	6	22	13	251	307	316	623	64	351	28	6	276	73	—	—	—	—	—	—
2015	20	A+ MLE	3 teams	—	585	543	129	16	4	3	34	133	3	35	17	238	290	298	589	61	303	23	6	260	62	—	—	—	—	—	—
2016	21	AA MLE	2 teams	—	654	590	154	17	8	5	51	141	8	37	9	261	329	342	671	81	330	22	8	294	85	—	—	—	—	—	—
2017	22	AAA MLE	2 teams	—	451	414	113	25	4	5	30	109	4	27	6	273	330	389	718	116	347	24	7	312	98	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	478	444	98	20	4	4	28	121	3	12	8	221	272	311	583	90	288	25	6	258	61	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	443	409	101	18	5	5	26	118	5	20	5	247	303	352	656	105	333	27	6	289	82	—	—	—	—	—	—
2020	25	MLB MLE	New York Yankees	—	105	89	15	3	0	3	12	22	3	4	1	169	291	303	595	135	188	21	11	271	70	—	—	—	—	—	—
2021	26	MLB MLE	New York Yankees	—	145	128	34	5	1	0	15	37	1	17	6	266	345	320	665	55	378	26	10	308	94	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	337	305	60	11	1	4	27	77	2	23	6	197	269	279	548	82	251	23	8	248	54	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	455	413	103	16	2	4	34	115	5	46	9	249	317	327	644	77	332	25	7	288	81	—	—	—	—	—	—
2024	29	MLB MLE	San Diego Padres	—	156	142	30	3	0	0	11	29	2	8	1	211	283	232	515	21	275	19	7	243	50	—	—	—	—	—	—
2025	30	MLB MLE	2 teams	—	248	220	48	5	2	1	24	63	2	11	4	218	305	273	577	55	298	25	10	261	63	—	—	—	—	—	—
2026	31	AAA MLE	Round Rock Express	—	73	67	13	1	0	0	5	16	1	4	3	194	268	209	477	15	240	22	7	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	MLB MLE	San Diego Padres	—	156	142	30	3	0	0	11	29	2	8	1	211	283	232	515	21	275	19	7	243	50	—	—	—	—	—	—
2025	30	MLB MLE	2 teams	—	248	220	48	5	2	1	24	63	2	11	4	218	305	273	577	55	298	25	10	261	63	—	—	—	—	—	—
2026	31	AAA MLE	Round Rock Express	—	73	67	13	1	0	0	5	16	1	4	3	194	268	209	477	15	240	22	7	223	37	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	TEX	10%	200	178	38	5	1	1	18	45	2	8	2	215	292	272	564	57	278	22	9	262	63	-9	+1	-1	+1	+4	-0.2
▸ 2027 — real world (MLB)
2027	32	MLB CTX	TEX	10%	12	11	2	0	0	0	1	3	0	0	0	215	292	272	564	57	277	25	8	262	63	-1	+0	-0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	TEX	27%	105	94	19	3	0	0	9	24	1	3	1	207	284	256	539	48	272	23	9	252	56	-5	+0	-5	+0	+2	-0.7
2028	33	MLB CTX	TEX	27%	29	26	5	1	0	0	3	7	0	1	0	207	284	256	539	48	271	24	10	252	56	-2	+0	-1	+0	+1	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1021	902	194	30	5	7	91	242	9	52	16	215	293	283	576	68	286	24	9	264	73	-43	+4	-4	+15	+22	-0.6
/ 162G	—	A+C		—	650	574	123	19	3	4	58	154	6	33	10	214	293	279	571	64	285	24	9	264	73	-27	+3	-3	+10	+14	-0.4
Career	—	MLE		—	5133	4639	1115	172	38	36	373	1255	49	285	91	240	304	317	621	77	320	24	7	276	73	-52	+5	-8	+16	+26	-1.4
/ 162G	—	MLE		—	650	587	142	22	5	5	47	159	6	36	12	242	304	322	626	80	322	24	7	276	73	-28	+2	-4	+8	+14	-0.7

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAARound Rock Express · 73 PAwOBA .267 → .223 (−44)K% 17.8% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.81%	÷1.000	×1.200	—	—	21.37%
BB% (unintentional) /PA	10.96%	÷1.000	×0.690	—	×0.952	7.20%
HBP% /PA	1.37%	—	×0.940	—	×0.952	1.23%
Singles /BIP	26.53%	÷1.000	×0.930	×0.993	×0.952	23.33%
Doubles /BIP	2.04%	÷1.000	×0.830	×0.993	×0.952	1.60%
Triples /BIP	0.00%	÷1.000	×0.970	×0.993	×0.952	0.00%
Home runs /BIP	0.00%	÷1.000	×0.700	—	×0.952	0.00%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .267 → .223; ISO .016 → .013; BABIP .275 → .240. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAAEl Paso Chihuahuas · 121 PAwOBA .330 → .260 (−70)K% 21.5% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.49%	÷0.973	×1.200	—	—	26.50%
BB% (unintentional) /PA	12.40%	÷1.054	×0.690	—	×0.962	7.81%
HBP% /PA	0.83%	—	×0.940	—	×0.962	0.75%
Singles /BIP	29.49%	÷0.999	×0.930	×0.982	×0.962	25.91%
Doubles /BIP	6.41%	÷1.042	×0.830	×0.982	×0.962	4.82%
Triples /BIP	0.00%	÷1.150	×0.970	×0.982	×0.962	0.00%
Home runs /BIP	1.28%	÷0.981	×0.700	—	×0.962	0.88%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 100, 2B 108, 3B 130, K 95, BB 111 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .330 → .260; ISO .077 → .056; BABIP .359 → .306. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAALas Vegas Aviators · 400 PAwOBA .345 → .288 (−57)K% 21.5% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.50%	÷1.017	×1.200	—	—	25.36%
BB% (unintentional) /PA	11.50%	÷1.055	×0.690	—	×0.982	7.39%
HBP% /PA	1.25%	—	×0.940	—	×0.982	1.15%
Singles /BIP	28.35%	÷0.993	×0.930	×1.018	×0.982	26.54%
Doubles /BIP	7.87%	÷1.124	×0.830	×1.018	×0.982	5.81%
Triples /BIP	0.39%	÷1.133	×0.970	×1.018	×0.982	0.34%
Home runs /BIP	2.36%	÷0.996	×0.700	—	×0.982	1.63%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 99, 2B 125, 3B 127, K 103, BB 111 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .345 → .288; ISO .118 → .089; BABIP .373 → .331. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAAScranton/Wilkes-Barre RailRiders · 174 PAwOBA .324 → .250 (−74)K% 21.3% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.26%	÷1.001	×1.200	—	—	25.49%
BB% (unintentional) /PA	15.52%	÷1.066	×0.690	—	×0.992	9.97%
HBP% /PA	0.57%	—	×0.940	—	×0.992	0.54%
Singles /BIP	19.44%	÷1.047	×0.930	×0.964	×0.992	16.52%
Doubles /BIP	6.48%	÷0.988	×0.830	×0.964	×0.992	5.21%
Triples /BIP	0.93%	÷1.000	×0.970	×0.964	×0.992	0.86%
Home runs /BIP	3.70%	÷1.006	×0.700	—	×0.992	2.56%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 109, 2B 98, 3B 100, K 100, BB 113 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .324 → .250; ISO .145 → .112; BABIP .276 → .230. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAAScranton/Wilkes-Barre RailRiders · 335 PAwOBA .333 → .283 (−50)K% 22.7% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.69%	÷1.007	×1.200	—	—	27.04%
BB% (unintentional) /PA	6.57%	÷1.066	×0.690	—	×1.033	4.39%
HBP% /PA	1.19%	—	×0.940	—	×1.033	1.16%
Singles /BIP	27.56%	÷1.019	×0.930	×0.950	×1.033	24.67%
Doubles /BIP	8.44%	÷1.009	×0.830	×0.950	×1.033	6.81%
Triples /BIP	1.78%	÷0.938	×0.970	×0.950	×1.033	1.80%
Home runs /BIP	1.78%	÷1.087	×0.840	—	×1.033	1.42%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .333 → .283; ISO .130 → .110; BABIP .381 → .335. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAAScranton/Wilkes-Barre RailRiders · 408 PAwOBA .302 → .265 (−37)K% 20.1% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.10%	÷1.002	×1.200	—	—	24.08%
BB% (unintentional) /PA	8.58%	÷1.034	×0.690	—	×1.048	6.00%
HBP% /PA	0.74%	—	×0.940	—	×1.048	0.72%
Singles /BIP	23.76%	÷1.032	×0.930	×1.007	×1.048	22.60%
Doubles /BIP	6.38%	÷1.004	×0.830	×1.007	×1.048	5.57%
Triples /BIP	1.42%	÷1.130	×0.970	×1.007	×1.048	1.29%
Home runs /BIP	1.42%	÷1.046	×0.840	—	×1.048	1.19%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 106, 2B 101, 3B 126, K 100, BB 107 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .302 → .265; ISO .104 → .091; BABIP .318 → .296. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 AAAScranton/Wilkes-Barre RailRiders · 388 PAwOBA .365 → .329 (−36)K% 19.3% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.33%	÷0.995	×1.200	—	—	23.32%
BB% (unintentional) /PA	9.79%	÷1.105	×0.690	—	×1.050	6.42%
HBP% /PA	1.03%	—	×0.940	—	×1.050	1.02%
Singles /BIP	27.27%	÷0.980	×0.930	×1.007	×1.050	27.37%
Doubles /BIP	8.33%	÷0.951	×0.830	×1.007	×1.050	7.69%
Triples /BIP	1.52%	÷1.150	×0.970	×1.007	×1.050	1.35%
Home runs /BIP	2.65%	÷1.247	×0.840	—	×1.050	1.88%

Factors used: league row IL. Park (home-season share, regressed): HR 149, 1B 96, 2B 90, 3B 130, K 99, BB 121 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .365 → .329; ISO .150 → .127; BABIP .375 → .366. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AATrenton Thunder · 583 PAwOBA .313 → .294 (−19)K% 17.7% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.67%	÷0.997	×1.220	—	—	21.62%
BB% (unintentional) /PA	11.32%	÷1.061	×0.700	—	×1.042	7.78%
HBP% /PA	1.20%	—	×0.850	—	×1.042	1.06%
Singles /BIP	25.62%	÷0.981	×0.970	×1.032	×1.042	27.24%
Doubles /BIP	3.98%	÷0.962	×0.860	×1.032	×1.042	3.83%
Triples /BIP	1.74%	÷1.039	×0.950	×1.032	×1.042	1.71%
Home runs /BIP	1.24%	÷1.015	×0.780	—	×1.042	1.00%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 96, 2B 92, 3B 108, K 99, BB 112 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .313 → .294; ISO .089 → .082; BABIP .317 → .330. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#2Travis Jankowskilast yr '25 career totals — 9 seasons, 1,718 PA	2.6	1,718	11	100	238	321	309	-9	+11	2.1	2.5
/162	664	4	39	-3.6	+4.2	0.8	pk7: 3
#3Milt Cuyler'90-'98 * career totals — 7 seasons, 1,567 PA	2.4	1,567	10	77	233*	299*	338*	+1	+4	0.6	0.9
/162	664	4	33	+0.6	+1.9	0.3	pk7: 1
#4Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#5Herm Winningham'84-'92 * career totals — 8 seasons, 2,069 PA	3.1	2,069	19	105	238*	296*	357*	+1	-3	-0.5	0.2
/162	664	6	34	+0.3	-1.1	-0.2	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	1.6	1,033	7	52	214	288	281	+4	-2	-0.6	-0.2
/162	664	5	34	+2.4	-1.0	-0.4	pk7: 0
#6Joe Simpson'75-'83 * career totals — 5 seasons, 1,531 PA	2.3	1,531	9	45	237*	289*	336*	-9	+2	-2.3	-1.8
/162	664	4	20	-4.0	+1.1	-1.0	pk7: -1

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)	32	45	30	55	55	213/290/269	57	278	1	5	22%	9%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tony Gwynn Jr. 2015 · MLB	32	47→57	36→40	49→60	51	222/289/291	68	271	4	16	19%	8%	67	-1.1	216/277/296	80	248	5	14	14%	7%	63	-1.3	209/265/268	60	235	1	14	11%	6%	49	-1.4
✕Munenori Kawasaki 2014 · MLB	33	48→54	37→30	54→50	57	221/308/290	69	260	4	14	16%	10%	74	-0.5	232/297/295	63	284	2	13	18%	8%	71	-0.8	231/293/280	49	288	0	16	18%	7%	65	-0.7
✕Craig Gentry 2016 · MLB	32	48→55	37→40	57→60	46	228/284/295	67	282	5	29	20%	6%	65	-1.2	218/278/298	80	277	6	24	22%	7%	64	-1.3	218/282/291	73	279	4	29	22%	7%	64	-0.4
✕Gerson Manzanillo 2019 · AAA	33	51	38→30	51→50	44	242/282/323	81	281	5	16	16%	4%	71	-0.8	224/255/301	77	273	7	10	20%	4%	56	-1.9	218/234/253	35	264	3	6	19%	2%	34	-1.6
✕Travis Jankowski 2023 · MLB	32	48→58	37→40	59→65	56	225/316/299	74	289	5	28	22%	11%	80	-0.2	231/312/305	74	287	5	29	19%	10%	79	-0.2	230/309/287	57	284	3	34	18%	9%	73	-0.2
✕Jonathan Diaz 2016 · MLB	31	44→48	36→30	47→50	49	207/279/274	67	254	3	9	19%	8%	59	-1.6	200/280/268	68	252	5	8	21%	9%	59	-1.6	182/271/228	46	233	3	5	21%	9%	45	-1.3
✕Guilder Rodriguez 2015 · AAA	32	48→54	33→30	46→55	49	222/273/260	38	261	2	15	15%	7%	53	-2.1	220/279/287	67	272	4	14	19%	7%	61	-1.5	199/269/224	24	249	0	18	18%	9%	44	-0.7
✕Pete Orr 2010 · MLB	31	46→45	41→45	56→55	41	224/266/327	104	272	7	20	21%	4%	66	-1.1	220/263/328	108	268	8	22	21%	4%	65	-1.2	228/255/314	86	291	5	16	23%	3%	55	-1.2
✕Ramon Valdez 2009 · AAA	32	53	37→30	48→55	47	248/301/317	70	298	4	14	18%	6%	77	-0.3	233/291/315	82	284	5	17	19%	6%	73	-0.6	250/322/310	61	285	2	26	12%	6%	80	-0.0
✕Daniel Nunez 2015 · AAA	33	50→49	38→30	48→50	46	234/304/313	79	291	5	14	20%	6%	78	-0.3	230/286/294	64	278	4	10	18%	6%	66	-1.1	218/276/260	43	267	2	10	18%	6%	52	-0.9
✕Alan Arredondo 2009 · AAA	31	51	38→30	56→60	44	242/284/326	85	297	5	17	20%	5%	72	-0.7	236/297/314	78	285	5	22	18%	8%	75	-0.5	232/304/268	37	272	0	36	13%	9%	63	-0.5
✕Skyler Stromsmoe 2015 · AAA	31	45	36→40	47→50	51	209/290/278	68	260	3	13	19%	8%	65	-1.2	216/290/297	81	269	4	12	20%	8%	70	-0.9	206/281/265	59	254	0	8	17%	7%	55	-0.5
✕Joey Gathright 2012 · MLB	31	48→58	36→30	52→60	46	226/272/288	62	273	3	23	18%	6%	59	-1.7	232/281/317	85	299	7	14	24%	5%	70	-0.9	253/291/291	38	331	0	13	22%	3%	63	-0.4
✕Jack Reinheimer 2024 · AAA	32	39→49	38→40	55	37	191/241/270	78	281	6	19	33%	5%	44	-2.8	191/238/280	89	267	8	13	30%	5%	45	-2.7	136/171/180	44	185	3	12	28%	4%	-4	-1.4
✕John McDonald 2008 · MLB	33	50	38→40	52→50	46	237/276/323	87	269	5	13	14%	5%	69	-0.9	233/269/344	111	257	10	9	14%	4%	72	-0.7	235/265/358	123	252	13	4	13%	3%	74	-0.2
✕Freddie Bynum Jr. 2011 · MLB	31	45→53	38→40	50→55	40	216/258/299	83	287	6	15	26%	5%	57	-1.8	213/258/313	100	281	9	11	26%	5%	60	-1.6	196/234/277	81	259	6	8	26%	4%	39	-1.3
✕Eric Bruntlett 2010 · MLB	32	45→51	38→40	52→55	49	214/280/297	83	256	5	17	18%	7%	65	-1.2	204/260/313	109	258	11	10	24%	6%	61	-1.5	186/237/280	95	236	10	9	25%	5%	42	-2.2
✕Donnie Sadler 2007 · MLB	32	47	40	52→55	47	225/284/327	102	292	6	13	24%	8%	73	-0.6	216/286/332	116	282	9	15	25%	8%	75	-0.5	169/258/280	110	220	7	19	24%	10%	52	-0.5
✕Elliot Soto 2023 · AAA	33	42→52	39→40	52→50	45	200/263/285	85	269	5	12	27%	7%	56	-1.9	190/253/266	76	278	5	19	31%	7%	48	-2.5	171/236/227	56	256	3	23	32%	7%	30	-2.0
✕Johnny Raburn 2010 · AAA	31	46→56	36→30	51→55	51	216/274/280	64	252	4	15	16%	7%	59	-1.7	222/286/317	95	265	8	11	18%	8%	72	-0.7	214/283/303	89	255	6	8	18%	9%	70	-0.4

Tyler Wade

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps