LaMonte Wade Jr.

1B Sugar Land Space Cowboys

Age 33 L/L 5'11" / 215 lbs AAA HR -6% Svc 4.572 · Ctrl thru 2028

Overview

AAA40-MANArb-2FA 2029

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	30	MLBSF	401	.260/.383/.381	8	2	119	0.6
2025	31	MLBLAA	242	.167/.272/.254	2	1	52	-2.0
2026	32	AAAHOU	214	.241/.417/.420	7	2	83	—	.196/.318/.318
2026	32	MLBHOU	146	.205/.308/.346	4	0	88	-0.5
2027PROJ45% MLB	33	MLBHOU	99	.215/.324/.347	2	1	92	-0.0
2028PROJ	34	MLBHOU	180	.206/.314/.326	4	0	84	-0.8

Last 3 seasons WAR -2.0 · Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service4.572First FA2029

2027Arb-2$1M2028Arb-3$1M

Skills · percentileStatcast 2024-2026

xwOBA57

Avg EV56

Barrel%39

Bat Spd38

Speed13

Form.213/.304/.360 · rolling true talent (60d window) · proj .212/.320/.343

CompsA.J. Ellis (age 34) · Ramón Vázquez (age 33) · Elias Díaz (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8192vR 96

AVG/OBP/SLG.215 / .324 / .347

PA99

HR2

K%24

BB%13

BABIP271

ISO118

MLB%45%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · Recent Form · Splits · ContractCON 50 / POW 45

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

xAVG

190.226

POWER45

Barrel%

396.8

Avg EV

5689.5

Bat Spd

3870.0

EYE60

scouting grade only

SPEED40

Sprint

1325.7

Recent Formrolling true talent ⓘ

K%26%▼29% over 31 PA (60d) · proj 24%

BB%11%▼▼3% over 31 PA (60d) · proj 13%

ISO.147▲.233 over 30 AB (60d) · proj .131

BABIP.265·.211 over 19 BIP (60d) · proj .266

SLASH.213/.304/.360·proj .212/.320/.343

Platoon Splits2024-2025 · 643 PA

vs LHP

vs RHP

Edge

571

—

wRC+

▶R

wOBA

290

306

▶R

ISO

053

114

▶▶R

BABIP

264

291

▶R

15.3%

24.0%

◀◀L

BB%

13.9%

12.8%

◀L

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

Status Arb-2

MLB Debut 2019

Service 4.572 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-2	$1M	+0.2	$0.7M	+$0.0M (cut)
2028	Arb-3	$1M	—	—	—
Totals		$0.0M		$-2M	+$0.0M

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)
2015	21	A	Cedar Rapids Kernels	—	16	14	2	0	0	0	1	2	1	0	0	143	250	143	393		167	12	6	203	-3	—	—	—	—	—	—
2015	21	ROK	Elizabethton Twins	—	284	231	72	8	5	9	46	34	3	12	1	312	432	506	939	195	330	12	16	411	93	—	—	—	—	—	—
2016	22	A+	Fort Myers Miracle	—	127	110	35	8	1	4	10	17	4	1	1	318	395	518	913	200	337	13	8	394	124	—	—	—	—	—	—
2016	22	A	Cedar Rapids Kernels	—	261	207	58	6	3	4	44	27	5	5	3	280	418	396	814	116	298	10	17	368	88	—	—	—	—	—	—
2017	23	AA	Chattanooga Lookouts	—	519	424	124	22	3	7	76	71	5	9	2	292	406	408	814	116	328	14	15	361	103	—	—	—	—	—	—
2017	23	INTL	Surprise Saguaros	—	77	63	15	3	1	2	9	10	3	1	2	238	360	413	773	175	245	13	12	341	117	—	—	—	—	—	—
2018	24	AAA	Rochester Red Wings	—	294	253	58	9	3	4	38	54	3	5	1	229	337	336	673	107	277	18	13	311	64	—	—	—	—	—	—
2018	24	AA	Chattanooga Lookouts	—	201	171	51	2	1	7	26	20	2	5	2	298	397	444	841	146	301	10	13	375	95	—	—	—	—	—	—
2019	25	MLB	Minnesota Twins	—	69	56	11	2	1	2	11	9	2	0	1	196	348	375	723	179	200	13	16	332	111	+1	-0	-2	+2	+1	0.1
2019	25	AAA	Rochester Red Wings	—	334	264	65	12	1	5	56	48	9	7	2	246	395	356	751	110	280	14	17	346	82	—	—	—	—	—	—
2019	25	AA	Pensacola Blue Wahoos	—	24	21	5	3	0	0	3	3	0	0	0	238	333	381	714	143	278	12	12	323	57	—	—	—	—	—	—
2019	25	A	Cedar Rapids Kernels	—	18	15	2	0	0	0	3	5	0	0	0	133	278	133	411		200	28	17	217	-8	—	—	—	—	—	—
2020	26	MLB	Minnesota Twins	—	44	39	9	3	0	0	4	9	1	1	1	231	318	308	626	77	300	20	9	291	83	-1	-0	-0	-1	+1	-0.1
2021	27	MLB	San Francisco Giants	—	381	336	85	17	3	18	33	89	5	6	1	253	329	482	811	229	289	23	9	350	128	+13	+1	-1	-5	+8	1.6
2021	27	AAA	Sacramento River Cats	—	59	45	11	2	0	3	14	13	0	0	1	244	424	489	913	244	276	22	24	407	103	—	—	—	—	—	—
2022	28	MLB	San Francisco Giants	—	251	217	45	7	1	8	26	51	5	1	0	207	306	359	666	152	233	20	10	300	94	-2	+0	-2	-3	+5	-0.2
2022	28	AAA	Sacramento River Cats	—	58	44	11	4	0	2	10	6	2	0	0	250	411	477	888	227	237	10	17	384	112	—	—	—	—	—	—
2023	29	MLB	San Francisco Giants	—	519	429	110	14	2	17	76	95	6	2	0	256	376	417	793	161	290	18	15	354	128	+17	+0	-7	-9	+11	1.3
2024	30	MLB	San Francisco Giants	—	401	331	86	16	0	8	62	90	4	2	1	260	383	381	764	121	331	22	15	348	119	+9	+0	-5	-7	+9	0.6
2025	31	MLB	Los Angeles Angels	—	242	209	35	8	2	2	27	58	3	1	0	167	272	254	526	86	220	24	11	246	52	-14	+0	-7	-4	+5	-2.0
2026	32	MLB	Houston Astros	—	146	127	26	6	0	4	19	36	0	0	0	205	308	346	655	142	253	25	13	300	88	-2	+0	+0	-6	+3	-0.5
2026	32	AAA	Sugar Land Space Cowboys	—	214	162	39	8	0	7	47	49	2	2	0	241	417	420	837	179	296	23	22	378	83	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2053	1744	407	73	9	59	258	437	26	13	4	233	341	387	728	154	276	21	13	327	107	+18	+1	-25	-34	+44	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	21	A MLE	Cedar Rapids Kernels	—	16	14	2	0	0	0	1	3	1	0	0	143	250	143	393		153	19	6	164	-3	—	—	—	—	—	—
2015	21	ROK MLE	Elizabethton Twins	—	284	248	58	6	4	7	29	48	3	12	1	234	321	375	696	141	254	17	10	305	93	—	—	—	—	—	—
2016	22	A+ MLE	Fort Myers Miracle	—	127	112	32	7	1	4	8	25	4	1	1	286	355	473	828	188	308	20	6	352	124	—	—	—	—	—	—
2016	22	A MLE	Cedar Rapids Kernels	—	261	222	53	5	3	3	29	37	5	5	3	239	340	329	669	90	257	14	11	298	88	—	—	—	—	—	—
2017	23	AA MLE	Chattanooga Lookouts	—	519	447	119	20	3	6	53	86	5	9	2	266	350	365	715	98	297	17	10	320	103	—	—	—	—	—	—
2018	24	AAA MLE	Rochester Red Wings	—	294	265	55	8	3	4	26	66	3	5	1	208	286	306	591	98	257	22	9	263	64	—	—	—	—	—	—
2018	24	AA MLE	Chattanooga Lookouts	—	201	181	46	2	1	6	16	25	2	5	2	254	322	376	697	122	261	12	8	309	95	—	—	—	—	—	—
2019	25	MLB MLE	Minnesota Twins	—	69	56	11	2	1	2	11	9	2	0	1	196	348	375	723	179	200	13	16	332	111	+1	-0	-2	+2	+1	0.1
2019	25	AAA MLE	Rochester Red Wings	—	334	284	63	10	1	5	36	58	9	7	2	222	328	317	645	95	251	17	11	290	82	—	—	—	—	—	—
2019	25	AA MLE	Pensacola Blue Wahoos	—	24	22	4	2	0	0	2	4	0	0	0	182	250	273	523	91	236	17	8	253	57	—	—	—	—	—	—
2019	25	A MLE	Cedar Rapids Kernels	—	18	16	2	0	0	0	2	7	0	0	0	125	222	125	347		177	39	11	157	-8	—	—	—	—	—	—
2020	26	MLB MLE	Minnesota Twins	—	44	39	9	3	0	0	4	9	1	1	1	231	318	308	626	77	300	20	9	291	83	-1	-0	-0	-1	+1	-0.1
2021	27	MLB MLE	San Francisco Giants	—	381	337	87	17	3	19	32	89	5	6	1	258	332	496	827	237	289	23	8	358	128	+13	+1	-1	-5	+8	1.6
2021	27	AAA MLE	Sacramento River Cats	—	59	50	10	2	0	2	9	15	0	0	1	200	322	360	682	160	239	25	15	320	103	—	—	—	—	—	—
2022	28	MLB MLE	San Francisco Giants	—	251	217	46	7	1	9	26	51	5	1	0	212	310	378	688	166	233	20	10	307	94	-2	+0	-2	-3	+5	-0.2
2022	28	AAA MLE	Sacramento River Cats	—	58	48	11	4	0	2	6	7	2	0	0	229	339	438	777	208	213	12	10	333	112	—	—	—	—	—	—
2023	29	MLB MLE	San Francisco Giants	—	519	432	112	14	2	18	73	95	6	2	0	259	374	426	800	167	290	18	14	357	128	+17	+0	-7	-9	+11	1.3
2024	30	MLB MLE	San Francisco Giants	—	401	336	88	16	0	9	57	90	4	2	1	262	375	390	765	128	331	22	14	344	119	+9	+0	-5	-7	+9	0.6
2025	31	MLB MLE	Los Angeles Angels	—	242	210	35	8	2	2	26	58	3	1	0	167	268	252	520	86	220	24	11	245	52	-14	+0	-7	-4	+5	-2.0
2026	32	MLB MLE	Houston Astros	—	146	127	26	6	0	4	19	36	0	0	0	205	308	346	655	142	253	25	13	298	88	-2	+0	+0	-6	+3	-0.5
2026	32	AAA MLE	Sugar Land Space Cowboys	—	214	179	35	7	0	5	30	59	2	2	0	196	318	318	636	123	251	28	14	291	83	—	—	—	—	—	—
2015	21	ROK MLE	2 teams	—	300	262	60	6	4	7	30	51	4	12	1	229	318	363	680	134	256	17	10	297	87	—	—	—	—	—	—
2015	21	ROK RAW	2 teams	—	300	245	74	8	5	9	47	36	4	12	1	302	422	486	908	184	320	12	16	400	87	—	—	—	—	—	—
2016	22	A MLE	2 teams	—	388	334	84	12	4	7	37	61	9	6	4	251	342	374	716	123	281	16	10	316	100	—	—	—	—	—	—
2016	22	A RAW	2 teams	—	388	317	93	14	4	8	54	44	9	6	4	293	411	438	849	145	311	11	14	376	100	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	596	511	137	23	3	7	61	99	8	10	4	268	355	366	721	98	311	17	10	320	103	—	—	—	—	—	—
2017	23	AA RAW	2 teams	—	596	487	139	25	4	9	85	81	8	10	4	285	400	409	809	123	317	14	14	359	103	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	495	446	101	10	4	10	42	91	5	10	3	226	300	334	634	108	262	18	8	282	77	—	—	—	—	—	—
2018	24	AAA RAW	2 teams	—	495	424	109	11	4	11	64	74	5	10	3	257	361	380	741	123	287	15	13	337	77	—	—	—	—	—	—
2019	25	AAA MLE	4 teams	—	445	378	79	14	2	7	51	77	11	7	3	209	320	312	633	103	242	17	11	289	82	—	—	—	—	—	—
2019	25	AAA RAW	4 teams	—	445	356	83	17	2	7	73	65	11	7	3	233	380	351	731	118	265	15	16	338	82	—	—	—	—	—	—
2020	26	MLB MLE	Minnesota Twins	—	44	39	9	3	0	0	4	9	1	1	1	231	318	308	626	77	300	20	9	291	83	-1	-0	-0	-1	+1	-0.1
2020	26	MLB RAW	Minnesota Twins	—	44	39	9	3	0	0	4	9	1	1	1	231	318	308	626	77	300	20	9	291	83	-1	-0	-0	-1	+1	-0.1
2021	27	MLB MLE	2 teams	—	440	387	97	19	3	22	41	104	5	6	2	251	330	486	816	235	284	24	9	353	125	+13	+0	-1	-5	+10	1.7
2021	27	MLB RAW	2 teams	—	440	381	96	19	3	21	47	102	5	6	2	252	342	483	825	231	287	23	11	358	125	+13	+0	-1	-5	+10	1.7
2022	28	MLB MLE	2 teams	—	309	265	57	11	1	10	32	58	7	1	0	215	316	377	693	162	235	19	10	312	97	-1	+0	-2	-3	+7	0.0
2022	28	MLB RAW	2 teams	—	309	261	56	11	1	10	36	57	7	1	0	215	326	379	705	165	234	18	12	316	97	-1	+0	-2	-3	+7	0.0
2023	29	MLB MLE	San Francisco Giants	—	519	432	112	14	2	18	73	95	6	2	0	259	374	426	800	167	291	18	14	357	128	+17	+0	-7	-9	+11	1.3
2023	29	MLB RAW	San Francisco Giants	—	519	429	110	14	2	17	76	95	6	2	0	256	376	417	793	161	290	18	15	354	128	+17	+0	-7	-9	+11	1.3
2024	30	MLB MLE	San Francisco Giants	—	401	336	88	16	0	9	57	90	4	2	1	262	375	390	765	128	329	22	14	344	119	+9	+0	-5	-7	+9	0.6
2024	30	MLB RAW	San Francisco Giants	—	401	331	86	16	0	8	62	90	4	2	1	260	383	381	764	121	331	22	15	348	119	+9	+0	-5	-7	+9	0.6
2025	31	MLB MLE	Los Angeles Angels	—	242	210	35	8	2	2	26	58	3	1	0	167	268	252	520	86	219	24	11	245	52	-14	+0	-7	-4	+5	-2.0
2025	31	MLB RAW	Los Angeles Angels	—	242	209	35	8	2	2	27	58	3	1	0	167	272	254	526	86	220	24	11	246	52	-14	+0	-7	-4	+5	-2.0
2026	32	AAA MLE	2 teams	—	360	306	61	13	0	9	49	95	2	2	0	199	314	330	644	131	255	26	14	294	85	—	—	—	—	—	—
2026	32	AAA RAW	2 teams	—	360	289	65	14	0	11	66	85	2	2	0	225	373	388	760	163	277	24	18	346	85	—	—	—	—	—	—
2015	21	ROK MLE	2 teams	—	300	263	60	6	4	7	30	51	4	12	1	228	318	361	679	133	249	17	10	297	87	—	—	—	—	—	—
2016	22	A MLE	2 teams	—	388	339	84	12	4	7	37	61	9	6	4	248	342	369	711	121	274	16	10	316	100	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	596	522	137	23	3	7	61	99	8	10	4	262	355	358	713	96	297	17	10	320	103	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	495	445	101	10	4	10	42	91	5	10	3	227	300	335	635	108	259	18	8	282	77	—	—	—	—	—	—
2019	25	AAA MLE	4 teams	—	445	380	79	14	2	7	51	77	11	7	3	208	320	311	631	103	239	17	11	289	82	—	—	—	—	—	—
2020	26	MLB MLE	Minnesota Twins	—	44	39	9	3	0	0	4	9	1	1	1	231	318	308	626	77	300	20	9	291	83	—	—	—	—	—	—
2021	27	MLB MLE	2 teams	—	440	391	97	19	3	22	41	104	5	6	2	248	330	481	811	233	282	24	9	353	125	—	—	—	—	—	—
2022	28	MLB MLE	2 teams	—	309	267	57	11	1	10	32	58	7	1	0	213	316	375	690	161	229	19	10	312	97	—	—	—	—	—	—
2023	29	MLB MLE	San Francisco Giants	—	519	435	112	14	2	18	73	95	6	2	0	257	374	423	797	166	290	18	14	357	128	—	—	—	—	—	—
2024	30	MLB MLE	San Francisco Giants	—	401	337	88	16	0	9	57	90	4	2	1	261	375	389	764	128	331	22	14	344	119	—	—	—	—	—	—
2025	31	MLB MLE	Los Angeles Angels	—	242	211	35	8	2	2	26	58	3	1	0	166	268	251	519	85	220	24	11	245	52	—	—	—	—	—	—
2026	32	AAA MLE	2 teams	—	360	306	61	13	0	9	49	95	2	2	0	199	314	330	644	131	252	26	14	294	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	MLB MLE	San Francisco Giants	—	401	337	88	16	0	9	57	90	4	2	1	261	375	389	764	128	331	22	14	344	119	—	—	—	—	—	—
2025	31	MLB MLE	Los Angeles Angels	—	242	211	35	8	2	2	26	58	3	1	0	166	268	251	519	85	220	24	11	245	52	—	—	—	—	—	—
2026	32	AAA MLE	2 teams	—	360	306	61	13	0	9	49	95	2	2	0	199	314	330	644	131	252	26	14	294	85	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	HOU	45%	331	282	60	13	1	7	43	80	3	2	1	213	322	344	666	131	266	24	13	304	92	-3	+0	-0	-6	+7	0.4
▸ 2027 — real world (MLB)
2027	33	MLB CTX	HOU	45%	99	85	18	4	0	2	13	24	1	1	0	215	324	347	671	131	271	24	13	306	92	-1	+0	-0	-2	+2	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	HOU	100%	180	154	31	6	0	4	23	45	1	0	0	203	312	323	635	120	258	25	13	292	84	-4	+0	-5	-3	+4	-0.8
2028	34	MLB CTX	HOU	100%	180	154	33	7	1	4	23	45	1	0	0	206	314	326	640	120	262	25	13	294	84	-4	+0	-5	-3	+4	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2233	1898	440	80	10	63	281	482	27	13	4	232	339	384	723	152	276	22	13	324	98	+14	+1	-30	-38	+48	-0.4
/ 162G	—	A+C		—	650	552	128	23	3	18	82	140	8	4	1	232	340	382	722	150	276	22	13	324	98	+4	+0	-9	-11	+14	-0.1
Career	—	MLE		—	4939	4248	991	163	26	117	554	986	68	62	20	233	331	367	698	133	274	20	11	312	98	+12	+1	-30	-42	+53	-0.6
/ 162G	—	MLE		—	650	559	129	21	3	15	73	130	9	8	3	231	329	360	689	129	271	20	11	312	98	+3	+0	-8	-11	+14	-0.2

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 AAASugar Land Space Cowboys · 214 PAwOBA .371 → .291 (−80)K% 22.9% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.90%	÷1.000	×1.200	—	—	27.48%
BB% (unintentional) /PA	21.50%	÷1.000	×0.690	—	×0.952	14.12%
HBP% /PA	0.93%	—	×0.940	—	×0.952	0.84%
Singles /BIP	21.24%	÷1.000	×0.930	×1.002	×0.952	18.84%
Doubles /BIP	7.08%	÷1.000	×0.830	×1.002	×0.952	5.61%
Triples /BIP	0.00%	÷1.000	×0.970	×1.002	×0.952	0.00%
Home runs /BIP	6.19%	÷1.000	×0.700	—	×0.952	4.13%

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 ×1.002.

Result: wOBA .371 → .291; ISO .179 → .137; BABIP .296 → .251. 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 AAASacramento River Cats · 58 PAwOBA .377 → .333 (−44)K% 10.3% → 12.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.34%	÷0.986	×1.200	—	—	12.59%
BB% (unintentional) /PA	13.79%	÷0.984	×0.690	—	×0.992	9.60%
HBP% /PA	3.45%	—	×0.940	—	×0.992	3.22%
Singles /BIP	13.16%	÷0.968	×0.930	—	×0.992	12.54%
Doubles /BIP	10.53%	÷0.967	×0.830	—	×0.992	8.96%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.992	0.00%
Home runs /BIP	5.26%	÷0.989	×0.700	—	×0.992	3.70%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 94, 2B 93, 3B 80, K 97, BB 97 — 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).

Result: wOBA .377 → .333; ISO .227 → .197; BABIP .237 → .213. 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).

2021 AAASacramento River Cats · 59 PAwOBA .392 → .320 (−72)K% 22.0% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.03%	÷1.034	×1.200	—	—	25.57%
BB% (unintentional) /PA	22.03%	÷0.956	×0.690	—	×1.003	15.96%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	18.75%	÷1.049	×0.930	—	×1.003	16.67%
Doubles /BIP	6.25%	÷0.916	×0.830	—	×1.003	5.68%
Triples /BIP	0.00%	÷0.900	×0.920	—	×1.003	0.00%
Home runs /BIP	9.38%	÷0.995	×0.700	—	×1.003	6.62%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 110, 2B 83, 3B 80, K 107, BB 91 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .392 → .320; ISO .244 → .196; BABIP .276 → .239. 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 AAARochester Red Wings · 334 PAwOBA .341 → .290 (−52)K% 14.4% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.37%	÷0.999	×1.200	—	—	17.26%
BB% (unintentional) /PA	16.77%	÷1.095	×0.690	—	×1.033	10.91%
HBP% /PA	2.69%	—	×0.940	—	×1.033	2.62%
Singles /BIP	21.76%	÷0.982	×0.930	×0.950	×1.033	20.22%
Doubles /BIP	5.56%	÷1.063	×0.830	×0.950	×1.033	4.26%
Triples /BIP	0.46%	÷1.150	×0.970	×0.950	×1.033	0.38%
Home runs /BIP	2.31%	÷0.958	×0.840	—	×1.033	2.10%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 96, 2B 113, 3B 130, K 100, BB 119 — 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 .341 → .290; ISO .110 → .099; BABIP .280 → .251. 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 AAPensacola Blue Wahoos · 24 PAwOBA .315 → .253 (−62)K% 12.5% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.027	×1.220	—	—	14.85%
BB% (unintentional) /PA	12.50%	÷1.028	×0.680	—	×0.998	8.25%
HBP% /PA	0.00%	—	×0.840	—	×0.998	0.00%
Singles /BIP	11.11%	÷0.970	×0.920	—	×0.998	10.52%
Doubles /BIP	16.67%	÷1.160	×0.910	—	×0.998	13.05%
Triples /BIP	0.00%	÷0.900	×0.880	—	×0.998	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×0.998	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 100, 1B 94, 2B 132, 3B 80, K 105, BB 106 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .315 → .253; ISO .143 → .115; BABIP .278 → .236. 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 ACedar Rapids Kernels · 18 PAwOBA .213 → .157 (−56)K% 27.8% → 39.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.78%	÷0.968	×1.360	—	—	39.01%
BB% (unintentional) /PA	16.67%	÷0.960	×0.690	—	×0.970	11.62%
HBP% /PA	0.00%	—	×0.780	—	×0.970	0.00%
Singles /BIP	20.00%	÷1.007	×0.920	—	×0.970	17.72%
Doubles /BIP	0.00%	÷0.976	×0.830	—	×0.970	0.00%
Triples /BIP	0.00%	÷1.045	×0.910	—	×0.970	0.00%
Home runs /BIP	0.00%	÷0.997	×0.800	—	×0.970	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 101, 2B 95, 3B 109, K 94, BB 92 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average).

Result: wOBA .213 → .157; ISO .000 → .000; BABIP .200 → .177. 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 AAARochester Red Wings · 294 PAwOBA .302 → .263 (−40)K% 18.4% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.37%	÷0.978	×1.200	—	—	22.54%
BB% (unintentional) /PA	12.59%	÷1.008	×0.690	—	×1.048	9.02%
HBP% /PA	1.02%	—	×0.940	—	×1.048	1.01%
Singles /BIP	21.11%	÷1.023	×0.930	×0.994	×1.048	19.99%
Doubles /BIP	4.52%	÷1.009	×0.830	×0.994	×1.048	3.88%
Triples /BIP	1.51%	÷1.150	×0.970	×0.994	×1.048	1.33%
Home runs /BIP	2.01%	÷0.879	×0.840	—	×1.048	2.01%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, BB 102 — 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 ×0.994.

Result: wOBA .302 → .263; ISO .107 → .098; BABIP .277 → .257. 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 AAChattanooga Lookouts · 201 PAwOBA .368 → .309 (−59)K% 10.0% → 12.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.95%	÷0.961	×1.220	—	—	12.64%
BB% (unintentional) /PA	12.44%	÷1.078	×0.680	—	×1.012	7.94%
HBP% /PA	1.00%	—	×0.840	—	×1.012	0.85%
Singles /BIP	27.15%	÷1.072	×0.920	×0.997	×1.012	23.51%
Doubles /BIP	1.32%	÷0.979	×0.910	×0.997	×1.012	1.24%
Triples /BIP	0.66%	÷0.900	×0.880	×0.997	×1.012	0.65%
Home runs /BIP	4.64%	÷0.975	×0.800	—	×1.012	3.85%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 114, 2B 96, 3B 80, K 92, BB 116 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .368 → .309; ISO .146 → .130; BABIP .301 → .261. 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
#1Robert Fick'98-'07 * career totals — 8 seasons, 2,658 PA	4.0	2,658	69	6	249*	318*	393*	-24	-10	3.9	5.0
/162	664	17	1	-6.0	-2.4	1.0	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	3.4	2,288	65	13	230	334	382	-40	-40	4.3	4.9
/162	664	19	4	-11.5	-11.6	1.2	pk7: 6
#2Jeremy Giambi'98-'03 * career totals — 6 seasons, 1,704 PA	2.6	1,704	52	1	252*	364*	416*	-30	-17	4.3	4.3
/162	664	20	0	-11.7	-6.5	1.7	pk7: 4
#3Jerry Turner'74-'83 * career totals — 7 seasons, 1,931 PA	2.9	1,931	45	45	251*	316*	413*	-22	-11	3.0	3.4
/162	664	15	15	-7.7	-3.7	1.0	pk7: 4
#4Connor Joelast yr '25 career totals — 5 seasons, 1,646 PA	2.5	1,646	35	13	241	335	387	-21	-16	1.9	1.9
/162	664	14	5	-8.3	-6.6	0.7	pk7: 2
#5Ji Man Choilast yr '23 career totals — 7 seasons, 1,823 PA	2.7	1,823	65	6	234	338	423	-33	-31	1.8	1.8
/162	664	24	2	-11.9	-11.3	0.7	pk7: 2
#6Darin Ruflast yr '23 career totals — 8 seasons, 1,653 PA	2.5	1,653	64	6	237	329	420	-28	-31	1.0	1.7
/162	664	26	2	-11.3	-12.4	0.4	pk7: 2

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
LaMonte Wade Jr. (OGILVIE)	33	50	45	40	60	211/319/341	130	266	5	2	24%	13%	92	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕A.J. Ellis 2015 · MLB	34	46→54	43→45	40	58	225/320/333	108	262	11	2	18%	11%	89	+0.5	224/317/350	126	255	13	4	17%	11%	92	+0.7	220/313/354	134	245	15	2	17%	10%	94	+0.3
✕Ramón Vázquez 2010 · MLB	33	51→58	42→45	47→50	54	243/321/352	109	295	9	4	20%	10%	93	+0.8	226/289/307	81	280	6	5	20%	8%	71	-0.8	215/270/270	55	269	2	2	20%	7%	52	-0.9
✕Elias Díaz 2024 · MLB	33	48→58	48→50	44→45	47	242/296/382	140	286	16	2	21%	7%	91	+0.6	241/291/373	132	295	15	2	23%	6%	87	+0.4	232/281/361	129	284	15	0	23%	5%	81	-0.0
✕Austin Nola 2023 · MLB	33	53→52	42→45	43→45	53	254/326/358	105	288	9	4	15%	8%	97	+1.1	205/275/292	87	252	8	4	21%	8%	63	-1.4	171/239/235	64	217	5	0	23%	7%	35	-1.0
✕Daniel Descalso 2019 · MLB	32	46→56	51→50	48→45	58	232/334/401	168	284	17	4	24%	13%	109	+2.0	201/297/334	133	273	14	6	29%	12%	81	-0.1	159/261/244	85	219	9	5	30%	12%	48	-0.9
✕Michael McKenry 2017 · MLB	32	45→47	48→55	44→40	54	221/316/371	150	289	15	7	27%	11%	97	+1.1	201/287/318	117	283	11	6	30%	10%	74	-0.6	159/252/243	84	230	7	0	31%	10%	42	-1.3
✕Mike Freeman 2021 · MLB	33	49→59	45	43→55	47	236/307/357	121	310	13	8	27%	8%	89	+0.5	216/290/328	112	289	11	8	27%	9%	76	-0.4	185/264/270	85	252	8	6	28%	9%	52	-1.0
✕Nick Martini 2024 · MLB	34	45→55	49→50	43→45	49	227/309/381	154	279	17	3	24%	9%	96	+1.0	217/296/357	140	263	15	3	23%	8%	86	+0.3	204/286/329	125	245	13	1	22%	8%	76	-0.2
✕Edgar Gonzalez 2011 · MLB	33	48→56	48→45	38→50	48	242/306/381	139	289	15	6	22%	8%	95	+0.9	244/292/353	109	288	11	13	19%	6%	82	-0.0	245/288/341	96	292	10	15	19%	5%	74	-0.3
✕Kevan Smith 2021 · MLB	33	51→54	47→50	49→40	50	252/320/389	137	288	14	7	18%	8%	101	+1.4	221/287/336	115	291	11	8	26%	8%	77	-0.3	162/217/192	30	235	0	0	29%	7%	17	-0.8
✕Gerald Laird 2013 · MLB	33	51→47	43→50	46→50	50	246/302/357	112	276	10	5	15%	7%	87	+0.4	241/309/338	97	286	7	6	17%	8%	85	+0.2	231/306/298	66	286	2	2	18%	8%	76	-0.1
✕Miguel Ojeda 2007 · MLB	32	46→45	45	41→45	50	227/292/347	120	263	13	5	19%	8%	81	-0.1	233/294/353	120	273	12	7	19%	7%	83	+0.1	237/302/363	127	268	13	7	17%	8%	87	+0.2
✕Russ Johnson 2006 · MLB	33	47→45	47→50	42→45	49	234/296/375	141	272	13	9	19%	8%	89	+0.5	225/289/354	129	245	14	6	14%	8%	82	-0.0	217/284/338	121	230	13	4	12%	8%	74	-0.4
✕Brendan Harris 2015 · MLB	34	46→56	45→50	42→45	51	227/299/352	125	263	13	5	19%	8%	86	+0.3	222/298/327	105	266	10	7	19%	9%	80	-0.2	200/289/264	64	238	5	0	17%	9%	60	-0.5
✕Brian Schneider 2011 · MLB	34	47→53	46→50	47→30	56	234/310/363	129	255	14	3	15%	10%	92	+0.7	217/284/334	117	260	12	5	21%	8%	76	-0.4	190/250/276	85	236	8	0	22%	6%	50	-0.6
✕Jack Hannahan 2013 · MLB	33	48→56	44→45	41→45	51	236/308/356	120	289	11	4	22%	9%	89	+0.5	228/299/331	103	293	8	5	23%	9%	80	-0.1	210/308/280	69	281	3	0	23%	11%	72	-0.2
✕Anthony Recker 2017 · MLB	33	40→48	49→50	48→45	47	208/286/351	143	274	17	5	30%	9%	81	-0.1	204/267/343	139	278	15	5	31%	7%	72	-0.7	182/239/318	136	247	15	1	32%	6%	53	-0.9
✕Ben Gamel 2024 · MLB	32	48→58	47→50	44→50	53	234/318/375	140	297	14	8	25%	10%	97	+1.1	223/311/359	136	312	13	6	30%	11%	92	+0.7	204/300/329	125	300	11	4	33%	11%	78	-0.1
✕Nick Hundley 2017 · MLB	33	51→45	49→55	42→40	46	257/304/407	150	304	16	5	21%	6%	99	+1.3	241/284/407	166	304	19	4	26%	6%	93	+0.8	229/267/395	166	295	19	2	29%	5%	84	+0.1
✕Luis Antonio Rodriguez 2013 · MLB	33	48→50	46→45	42→45	53	236/302/367	130	250	14	7	13%	8%	90	+0.6	222/277/329	107	247	10	5	15%	6%	72	-0.7	216/264/314	98	239	9	2	14%	6%	61	-0.8

LaMonte Wade Jr.

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps