Leody Taveras

CF Baltimore Orioles

Age 28 S/R 6'2" / 210 lbs MLB HR +9% Svc 4.721 · Ctrl thru 2028

Overview

MLB40-MANArb-2FA 2029

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	25	MLBTEX	529	.229/.291/.352	12	23	78	0.4
2025	26	AAA/INTL2 orgs	545	.280/.374/.436	12	37	92	—	.230/.289/.345
2025	26	MLBSEA	180	.205/.227/.304	3	9	44	-0.7
2026	27	MLBBAL	482	.219/.289/.345	8	11	73	-0.3
2027PROJ	28	MLBBAL	437	.225/.287/.347	8	19	75	0.1
2028PROJ	29	MLBBAL	422	.223/.284/.341	8	16	73	-0.2

Last 3 seasons WAR -0.6 · Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service4.721First FA2029

2027Arb-2$0.4M2028Arb-3$1M

Skills · percentileStatcast 2024-2026

Speed87

Bat Spd61

Avg EV42

Barrel%27

xwOBA24

Form.203/.261/.314 ▼▼ rolling true talent (60d window) · proj .221/.281/.340

CompsBen DeLuzio (age 28) · Bryce Johnson (age 28) · Jared Oliva (age 28)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 7575vR 75

AVG/OBP/SLG.225 / .287 / .347

PA437

HR8

SB19

K%24

BB%8

BABIP282

ISO120

MLB%100%

Value2027 · WAR

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

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

150.222

POWER

Barrel%

275.2

Avg EV

4288.5

Bat Spd

6172.5

SPEED

Sprint

8728.9

Recent Formrolling true talent ⓘ

K%29%▼▼34% over 62 PA (60d) · proj 24%

BB%7%·6% over 62 PA (60d) · proj 8%

ISO.110·.088 over 57 AB (60d) · proj .118

HR/BB2.0%▼0.0% over 37 BBE (60d) · proj 2.7%

BABIP.279·.297 over 37 BIP (60d) · proj .278

SLASH.203/.261/.314▼▼proj .221/.281/.340

Platoon Splits2024-2026 · 780 PA

vs LHP

vs RHP

Edge

154

626

—

wRC+

▶▶R

wOBA

255

288

▶R

ISO

053

136

▶▶R

BABIP

271

279

—

24.7%

22.0%

▶R

BB%

11.0%

6.5%

◀◀L

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

Status Arb-2

MLB Debut 2020

Service 4.721 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-2	$0.4M	+0.1	$0.4M	+$0.0M
2028	Arb-3	$1M	—	—	—
Totals		$0.4M		$-0.3M	+$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)
2016	17	ROK	AZL Rangers	—	200	183	55	8	5	1	17	29	0	15	7	301	360	415	775	115	353	14	8	347	61	—	—	—	—	—	—
2017	18	A	Hickory Crawdads	—	577	522	130	20	7	8	47	92	2	20	6	249	313	360	674	111	287	16	8	301	59	—	—	—	—	—	—
2018	19	A+	Down East Wood Ducks	—	580	521	128	16	7	5	51	96	0	19	11	246	313	332	645	86	292	17	9	290	50	—	—	—	—	—	—
2018	19	INTL	Aguilas Cibaenas	—	39	35	8	2	0	0	4	9	0	1	2	229	308	286	593	57	308	23	10	277	73	—	—	—	—	—	—
2019	20	AA	Frisco RoughRiders	—	293	264	70	12	4	3	23	60	0	11	8	265	324	375	699	110	327	20	8	308	65	—	—	—	—	—	—
2019	20	A+	Down East Wood Ducks	—	290	255	75	7	4	2	31	62	0	21	5	294	371	376	747	82	378	21	11	336	62	—	—	—	—	—	—
2019	20	INTL	Aguilas Cibaenas	—	107	100	29	3	0	0	6	15	0	6	2	290	330	320	650	30	337	14	6	295	86	—	—	—	—	—	—
2020	21	MLB	Texas Rangers	—	134	119	27	6	1	4	14	43	0	8	0	227	308	395	703	168	319	32	10	313	95	-1	+2	-1	+0	+3	0.3
2021	22	MLB	Texas Rangers	—	185	174	28	6	2	3	9	60	1	10	1	161	207	270	477	109	225	32	5	214	30	-15	+2	+5	+3	+4	-0.2
2021	22	AAA	Round Rock Express	—	381	322	79	19	2	17	49	95	2	13	5	245	349	475	824	230	287	25	13	356	91	—	—	—	—	—	—
2021	22	INTL	Aguilas Cibaenas	—	175	146	40	5	1	2	24	23	2	11	1	274	384	363	747	89	309	13	14	339	116	—	—	—	—	—	—
2022	23	MLB	Texas Rangers	—	341	314	82	14	2	5	21	88	2	11	5	261	312	366	678	105	344	26	6	302	89	-4	+0	+3	+2	+7	0.8
2022	23	AAA	Round Rock Express	—	221	204	60	12	3	7	14	48	0	7	4	294	339	485	825	191	349	22	6	357	103	—	—	—	—	—	—
2023	24	MLB	Texas Rangers	—	554	511	136	31	3	14	35	117	1	14	4	266	314	421	735	155	318	21	6	322	103	+2	+1	+3	+2	+12	2.1
2024	25	MLB	Texas Rangers	—	529	480	110	17	3	12	42	112	0	23	6	229	291	352	643	123	272	21	8	286	78	-14	+2	+3	+2	+11	0.4
2025	26	MLB	Seattle Mariners	—	180	171	35	6	1	3	5	50	0	9	3	205	227	304	531	99	269	28	3	232	44	-12	+1	-2	+3	+4	-0.7
2025	26	AAA	Tacoma Rainiers	—	372	325	91	15	3	11	41	57	1	27	1	280	362	446	809	166	305	15	11	356	74	—	—	—	—	—	—
2025	26	INTL	Aguilas Cibaenas	—	173	143	40	12	2	1	28	23	0	10	1	280	398	413	810	133	322	13	16	363	132	—	—	—	—	—	—
2026	27	MLB	Baltimore Orioles	—	482	429	94	18	6	8	41	124	1	11	4	219	289	345	634	126	288	26	9	280	73	-16	+1	-0	+2	+10	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2405	2198	512	98	18	49	167	594	5	86	23	233	289	361	649	128	295	25	7	287	81	-55	+8	+11	+13	+52	2.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	17	ROK MLE	AZL Rangers	—	200	189	45	6	4	1	11	42	0	15	7	238	280	328	608	90	295	21	6	258	61	—	—	—	—	—	—
2017	18	A MLE	Hickory Crawdads	—	577	537	120	16	6	7	32	122	2	20	6	223	270	315	584	91	272	21	6	256	59	—	—	—	—	—	—
2018	19	A+ MLE	Down East Wood Ducks	—	580	541	119	14	6	3	31	137	0	19	11	220	262	285	547	65	285	24	5	242	50	—	—	—	—	—	—
2019	20	AA MLE	Frisco RoughRiders	—	293	271	63	10	4	2	16	74	0	11	8	232	275	321	596	89	302	25	5	265	65	—	—	—	—	—	—
2019	20	A+ MLE	Down East Wood Ducks	—	290	268	63	6	3	2	18	88	0	21	5	235	283	302	585	67	332	30	6	260	62	—	—	—	—	—	—
2020	21	MLB MLE	Texas Rangers	—	134	119	27	6	1	4	14	43	0	8	0	227	308	395	703	168	319	32	10	308	95	-1	+2	-1	+0	+3	0.3
2021	22	MLB MLE	Texas Rangers	—	185	174	28	6	2	3	9	60	1	10	1	161	207	270	477	109	225	32	5	212	30	-15	+2	+5	+3	+4	-0.2
2021	22	AAA MLE	Round Rock Express	—	381	337	74	18	2	14	34	106	2	13	5	220	295	409	704	190	259	28	9	303	91	—	—	—	—	—	—
2022	23	MLB MLE	Texas Rangers	—	341	314	83	15	2	5	21	88	2	11	5	264	315	373	687	108	344	26	6	300	89	-4	+0	+3	+2	+7	0.8
2022	23	AAA MLE	Round Rock Express	—	221	208	56	11	3	5	10	57	0	7	4	269	303	423	726	154	342	26	5	320	103	—	—	—	—	—	—
2023	24	MLB MLE	Texas Rangers	—	554	511	136	32	3	13	35	117	1	14	4	266	314	417	731	151	318	21	6	320	103	+2	+1	+3	+2	+12	2.1
2024	25	MLB MLE	Texas Rangers	—	529	480	110	18	3	11	42	112	0	23	6	229	291	348	639	119	272	21	8	283	78	-14	+2	+3	+2	+11	0.4
2025	26	MLB MLE	Seattle Mariners	—	180	171	35	6	1	3	5	50	0	9	3	205	227	304	531	99	269	28	3	234	44	-12	+1	-2	+3	+4	-0.7
2025	26	AAA MLE	Tacoma Rainiers	—	372	339	78	12	3	7	27	66	1	27	1	230	289	345	634	115	258	18	7	278	74	—	—	—	—	—	—
2026	27	MLB MLE	Baltimore Orioles	—	482	429	93	18	6	8	41	124	1	11	4	217	287	343	629	126	288	26	9	276	73	-16	+1	-0	+2	+10	-0.3
2016	17	ROK MLE	AZL Rangers	—	200	189	45	6	4	1	11	42	0	15	7	238	280	328	608	90	301	21	6	258	61	—	—	—	—	—	—
2016	17	ROK RAW	AZL Rangers	—	200	183	55	8	5	1	17	29	0	15	7	301	360	415	775	115	353	14	8	347	61	—	—	—	—	—	—
2017	18	A MLE	Hickory Crawdads	—	577	537	120	16	6	7	32	122	2	20	6	223	270	315	584	91	275	21	6	256	59	—	—	—	—	—	—
2017	18	A RAW	Hickory Crawdads	—	577	522	130	20	7	8	47	92	2	20	6	249	313	360	674	111	287	16	8	301	59	—	—	—	—	—	—
2018	19	A+ MLE	2 teams	—	619	578	128	15	7	3	33	147	0	20	13	221	264	287	551	66	291	24	5	242	50	—	—	—	—	—	—
2018	19	A+ RAW	2 teams	—	619	556	136	18	7	5	55	105	0	20	13	245	313	329	642	85	293	17	9	289	50	—	—	—	—	—	—
2019	20	AA MLE	3 teams	—	690	638	150	19	9	4	41	192	0	38	15	235	281	312	593	77	325	28	6	263	64	—	—	—	—	—	—
2019	20	AA RAW	3 teams	—	690	619	174	22	8	5	60	137	0	38	15	281	345	367	711	86	349	20	9	318	64	—	—	—	—	—	—
2020	21	MLB MLE	Texas Rangers	—	134	119	27	6	1	4	14	43	0	8	0	227	308	395	703	168	319	32	10	308	95	-1	+2	-1	+0	+3	0.3
2020	21	MLB RAW	Texas Rangers	—	134	119	27	6	1	4	14	43	0	8	0	227	308	395	703	168	319	32	10	313	95	-1	+2	-1	+0	+3	0.3
2021	22	AAA MLE	3 teams	—	741	667	134	32	5	22	57	218	5	34	7	201	269	363	632	162	257	29	8	273	71	—	—	—	—	—	—
2021	22	AAA RAW	3 teams	—	741	642	147	30	5	22	82	178	5	34	7	229	321	394	715	165	278	24	11	317	71	—	—	—	—	—	—
2022	23	MLB MLE	2 teams	—	562	522	139	26	5	10	31	145	2	18	9	266	310	393	703	126	346	26	6	308	95	-4	+0	+3	+2	+12	1.4
2022	23	MLB RAW	2 teams	—	562	518	142	26	5	12	35	136	2	18	9	274	323	413	736	139	346	24	6	324	95	-4	+0	+3	+2	+12	1.4
2023	24	MLB MLE	Texas Rangers	—	554	511	136	32	3	13	35	117	1	14	4	266	314	417	731	151	319	21	6	320	103	+2	+1	+3	+2	+12	2.1
2023	24	MLB RAW	Texas Rangers	—	554	511	136	31	3	14	35	117	1	14	4	266	314	421	735	155	318	21	6	322	103	+2	+1	+3	+2	+12	2.1
2024	25	MLB MLE	Texas Rangers	—	529	480	110	18	3	11	42	112	0	23	6	229	291	348	639	119	274	21	8	283	78	-14	+2	+3	+2	+11	0.4
2024	25	MLB RAW	Texas Rangers	—	529	480	110	17	3	12	42	112	0	23	6	229	291	352	643	123	272	21	8	286	78	-14	+2	+3	+2	+11	0.4
2025	26	AAA MLE	3 teams	—	725	671	148	24	5	13	42	153	1	46	5	221	268	329	597	109	263	21	6	264	65	—	—	—	—	—	—
2025	26	AAA RAW	3 teams	—	725	639	166	33	6	15	74	130	1	46	5	260	338	401	738	141	301	18	10	327	65	—	—	—	—	—	—
2026	27	MLB MLE	Baltimore Orioles	—	482	429	93	18	6	8	41	124	1	11	4	217	287	343	629	126	284	26	9	276	73	-16	+1	-0	+2	+10	-0.3
2026	27	MLB RAW	Baltimore Orioles	—	482	429	94	18	6	8	41	124	1	11	4	219	289	345	634	126	288	26	9	280	73	-16	+1	-0	+2	+10	-0.3
2016	17	ROK MLE	AZL Rangers	—	200	187	45	6	4	1	11	42	0	15	7	241	280	332	612	91	295	21	6	258	61	—	—	—	—	—	—
2017	18	A MLE	Hickory Crawdads	—	577	538	120	16	6	7	32	122	2	20	6	223	270	314	584	91	272	21	6	256	59	—	—	—	—	—	—
2018	19	A+ MLE	2 teams	—	619	581	128	15	7	3	33	147	0	20	13	220	264	286	549	65	285	24	5	242	50	—	—	—	—	—	—
2019	20	AA MLE	3 teams	—	690	644	150	19	9	4	41	192	0	38	15	233	281	309	590	76	317	28	6	263	64	—	—	—	—	—	—
2020	21	MLB MLE	Texas Rangers	—	134	119	27	6	1	4	14	43	0	8	0	227	308	395	703	168	319	32	10	308	95	—	—	—	—	—	—
2021	22	AAA MLE	3 teams	—	741	673	134	32	5	22	57	218	5	34	7	199	269	360	628	160	248	29	8	273	71	—	—	—	—	—	—
2022	23	MLB MLE	2 teams	—	562	524	139	26	5	10	31	145	2	18	9	265	310	391	701	126	343	26	6	308	95	—	—	—	—	—	—
2023	24	MLB MLE	Texas Rangers	—	554	513	136	32	3	13	35	117	1	14	4	265	314	415	730	150	318	21	6	320	103	—	—	—	—	—	—
2024	25	MLB MLE	Texas Rangers	—	529	482	110	18	3	11	42	112	0	23	6	228	291	346	638	118	272	21	8	283	78	—	—	—	—	—	—
2025	26	AAA MLE	3 teams	—	725	676	148	24	5	13	42	153	1	46	5	219	268	327	594	108	262	21	6	264	65	—	—	—	—	—	—
2026	27	MLB MLE	Baltimore Orioles	—	482	437	93	18	6	8	41	124	1	11	4	213	287	336	623	124	288	26	9	276	73	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	25	MLB MLE	Texas Rangers	—	529	482	110	18	3	11	42	112	0	23	6	228	291	346	638	118	272	21	8	283	78	—	—	—	—	—	—
2025	26	AAA MLE	3 teams	—	725	676	148	24	5	13	42	153	1	46	5	219	268	327	594	108	262	21	6	264	65	—	—	—	—	—	—
2026	27	MLB MLE	Baltimore Orioles	—	482	437	93	18	6	8	41	124	1	11	4	213	287	336	623	124	288	26	9	276	73	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	28	MLB MLE	BAL	100%	513	468	104	18	5	9	39	123	1	23	5	222	283	340	623	118	278	24	8	279	75	-15	+3	+0	+2	+11	0.1
▸ 2027 — real world (MLB)
2027	28	MLB CTX	BAL	100%	437	400	90	16	4	8	33	105	1	19	4	225	287	347	634	122	282	24	8	284	75	-13	+2	+0	+2	+9	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	29	MLB MLE	BAL	100%	422	386	84	14	4	7	32	102	1	16	3	219	280	334	614	114	277	24	8	276	73	-14	+2	-1	+2	+9	-0.2
2028	29	MLB CTX	BAL	100%	422	386	87	15	4	8	32	102	1	16	3	223	284	341	625	118	280	24	8	280	73	-14	+2	-1	+2	+9	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2827	2584	599	113	22	57	199	696	6	102	26	232	288	359	647	127	293	25	7	286	72	-69	+10	+9	+15	+61	2.7
/ 162G	—	A+C		—	650	594	138	26	5	13	46	160	1	23	6	232	289	359	647	126	294	25	7	286	72	-16	+2	+2	+3	+14	0.6
Career	—	MLE		—	6672	6127	1402	241	62	111	444	1622	14	282	83	229	282	343	625	114	291	24	7	275	72	-82	+12	+10	+16	+71	2.7
/ 162G	—	MLE		—	650	597	136	23	6	11	43	158	1	27	8	228	281	342	623	114	289	24	7	275	72	-16	+2	+2	+3	+14	0.5

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.

2025 AAATacoma Rainiers · 372 PAwOBA .351 → .278 (−72)K% 15.3% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.32%	÷1.035	×1.200	—	—	17.76%
BB% (unintentional) /PA	10.75%	÷1.023	×0.690	—	×1.003	7.27%
HBP% /PA	0.27%	—	×0.940	—	×1.003	0.25%
Singles /BIP	23.13%	÷1.019	×0.930	×0.950	×1.003	20.13%
Doubles /BIP	5.60%	÷0.985	×0.830	×0.950	×1.003	4.50%
Triples /BIP	1.12%	÷1.017	×0.970	×0.950	×1.003	1.02%
Home runs /BIP	4.10%	÷1.204	×0.700	—	×1.003	2.39%

Factors used: league row International League. Park (home-season share, regressed): HR 141, 1B 104, 2B 97, 3B 103, K 107, BB 105 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .351 → .278; ISO .166 → .117; BABIP .305 → .258. 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 AAARound Rock Express · 221 PAwOBA .352 → .320 (−32)K% 21.7% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.72%	÷1.015	×1.200	—	—	25.67%
BB% (unintentional) /PA	6.33%	÷0.997	×0.690	—	×1.048	4.60%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	24.36%	÷0.986	×0.930	×1.010	×1.048	24.31%
Doubles /BIP	7.69%	÷0.938	×0.830	×1.010	×1.048	7.21%
Triples /BIP	1.92%	÷0.900	×0.970	×1.010	×1.048	2.19%
Home runs /BIP	4.49%	÷0.957	×0.700	—	×1.048	3.44%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 97, 2B 88, 3B 80, K 103, BB 99 — 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 ×1.010.

Result: wOBA .352 → .320; ISO .191 → .166; BABIP .349 → .342. 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 AAARound Rock Express · 381 PAwOBA .350 → .303 (−47)K% 24.9% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.93%	÷1.072	×1.200	—	—	27.91%
BB% (unintentional) /PA	12.07%	÷0.975	×0.690	—	×1.050	8.97%
HBP% /PA	0.52%	—	×0.940	—	×1.050	0.52%
Singles /BIP	18.06%	÷0.999	×0.930	×0.950	×1.050	16.77%
Doubles /BIP	8.37%	÷0.915	×0.830	×0.950	×1.050	7.58%
Triples /BIP	0.88%	÷1.150	×0.920	×0.950	×1.050	0.70%
Home runs /BIP	7.49%	÷0.958	×0.700	—	×1.050	5.74%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 100, 2B 83, 3B 130, K 114, BB 95 — 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 ×0.950.

Result: wOBA .350 → .303; ISO .230 → .194; BABIP .287 → .259. 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 AAFrisco RoughRiders · 293 PAwOBA .304 → .265 (−40)K% 20.5% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.48%	÷0.986	×1.220	—	—	25.35%
BB% (unintentional) /PA	7.85%	÷1.032	×0.700	—	×1.050	5.59%
HBP% /PA	0.00%	—	×0.870	—	×1.050	0.00%
Singles /BIP	25.00%	÷0.983	×0.920	×0.950	×1.050	23.35%
Doubles /BIP	5.88%	÷0.960	×0.840	×0.950	×1.050	5.14%
Triples /BIP	1.96%	÷0.900	×0.940	×0.950	×1.050	2.04%
Home runs /BIP	1.47%	÷1.208	×0.800	—	×1.050	1.02%

Factors used: league row TL. Park (home-season share, regressed): HR 142, 1B 97, 2B 92, 3B 80, K 97, BB 106 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .304 → .265; ISO .110 → .094; BABIP .327 → .302. 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 A+Down East Wood Ducks · 290 PAwOBA .326 → .260 (−66)K% 21.4% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.38%	÷1.002	×1.420	—	—	30.30%
BB% (unintentional) /PA	9.66%	÷0.985	×0.630	—	×1.027	6.34%
HBP% /PA	0.00%	—	×0.860	—	×1.027	0.00%
Singles /BIP	32.12%	÷1.038	×0.940	×0.950	×1.027	28.38%
Doubles /BIP	3.63%	÷0.939	×0.830	×0.950	×1.027	3.13%
Triples /BIP	2.07%	÷0.900	×0.800	×0.950	×1.027	1.80%
Home runs /BIP	1.04%	÷1.152	×0.900	—	×1.027	0.83%

Factors used: league row CAR. Park (home-season share, regressed): HR 130, 1B 108, 2B 88, 3B 80, K 100, BB 97 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .326 → .260; ISO .082 → .066; BABIP .378 → .332. 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 A+Down East Wood Ducks · 580 PAwOBA .283 → .242 (−40)K% 16.6% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.55%	÷0.991	×1.420	—	—	23.71%
BB% (unintentional) /PA	8.62%	÷1.042	×0.630	—	×1.042	5.43%
HBP% /PA	0.00%	—	×0.860	—	×1.042	0.00%
Singles /BIP	23.53%	÷0.991	×0.940	×1.007	×1.042	23.41%
Doubles /BIP	3.76%	÷0.970	×0.830	×1.007	×1.042	3.38%
Triples /BIP	1.65%	÷0.905	×0.800	×1.007	×1.042	1.53%
Home runs /BIP	1.18%	÷1.393	×0.900	—	×1.042	0.79%

Factors used: league row CAR. Park (home-season share, regressed): HR 179, 1B 98, 2B 94, 3B 81, K 98, BB 108 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .283 → .242; ISO .086 → .069; BABIP .292 → .285. 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 AHickory Crawdads · 577 PAwOBA .295 → .256 (−40)K% 15.9% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.94%	÷1.010	×1.340	—	—	21.14%
BB% (unintentional) /PA	8.15%	÷1.002	×0.660	—	×1.045	5.61%
HBP% /PA	0.35%	—	×0.770	—	×1.045	0.28%
Singles /BIP	22.09%	÷0.988	×0.920	×1.010	×1.045	21.72%
Doubles /BIP	4.65%	÷1.045	×0.820	×1.010	×1.045	3.85%
Triples /BIP	1.63%	÷1.141	×0.940	×1.010	×1.045	1.41%
Home runs /BIP	1.86%	÷1.019	×0.820	—	×1.045	1.56%

Factors used: league row SAL. Park (home-season share, regressed): HR 104, 1B 98, 2B 109, 3B 128, K 102, BB 100 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .295 → .256; ISO .111 → .092; BABIP .287 → .272. 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 ROKAZL Rangers · 200 PAwOBA .338 → .258 (−80)K% 14.5% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.50%	÷1.000	×1.440	—	—	20.88%
BB% (unintentional) /PA	8.50%	÷1.000	×0.620	—	×1.022	5.39%
HBP% /PA	0.00%	—	×0.720	—	×1.022	0.00%
Singles /BIP	26.62%	÷1.000	×0.820	×1.028	×1.022	22.95%
Doubles /BIP	5.19%	÷1.000	×0.720	×1.028	×1.022	3.93%
Triples /BIP	3.25%	÷1.000	×0.720	×1.028	×1.022	2.46%
Home runs /BIP	0.65%	÷1.000	×0.780	—	×1.022	0.52%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .338 → .258; ISO .115 → .084; BABIP .353 → .295. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Leury Garcíalast yr '22 career totals — 9 seasons, 2,387 PA	3.6	2,387	34	63	253	293	351	+5	+10	3.1	4.3
/162	664	9	18	+1.4	+2.7	0.9	pk7: 6
#2Darren Lewis'90-'02 * career totals — 12 seasons, 4,652 PA	7.0	4,652	27	247	239*	312*	319*	+0	+23	2.7	4.2
/162	664	4	35	+0.0	+3.3	0.4	pk7: 6
#3Garrett 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
#4Brian Hunter'94-'03 * career totals — 9 seasons, 3,659 PA	5.5	3,659	25	260	252*	300*	337*	+1	+13	2.0	3.6
/162	664	5	47	+0.2	+2.4	0.4	pk7: 5
#5Luis Matos'00-'06 * career totals — 6 seasons, 1,773 PA	2.7	1,773	30	72	245*	304*	365*	+1	+10	3.2	3.2
/162	664	11	27	+0.3	+3.9	1.2	pk7: 3
#6Tony Scott'73-'84 * career totals — 9 seasons, 3,047 PA	4.6	3,047	17	125	243*	294*	352*	-0	+13	1.4	2.9
/162	664	4	27	-0.0	+2.8	0.3	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	4.9	3,264	64	121	229	283	354	+8	+11	2.5	2.7
/162	664	13	25	+1.5	+2.2	0.5	pk7: 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
Leody Taveras (OGILVIE)	28	—	—	—	—	220/281/337	117	278	8	19	24%	8%	75	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ben DeLuzio 2023 · MLB	28	47→50	42→45	60	41	224/281/335	111	303	8	29	28%	6%	74	-0.5	210/272/317	107	307	10	20	33%	7%	68	-1.0	148/218/218	71	242	7	18	39%	7%	24	-1.2
✕Bryce Johnson 2024 · MLB	28	51→54	43→45	62→60	44	240/306/355	114	332	10	32	29%	8%	88	+0.4	238/310/342	104	325	7	28	27%	8%	86	+0.3	237/312/330	93	329	4	33	27%	8%	82	+0.0
✕Jared Oliva 2024 · MLB	28	44→49	43→45	57→65	41	217/273/337	120	286	9	24	27%	6%	72	-0.7	227/288/352	125	287	12	49	24%	6%	81	-0.1	225/290/349	124	279	13	71	23%	6%	77	-0.2
✕Ian Miller 2021 · MLB	29	46→56	42→40	58→60	45	226/281/337	112	277	9	29	22%	6%	74	-0.5	228/280/319	91	288	7	21	22%	6%	70	-0.9	229/278/296	68	290	3	25	21%	5%	62	-1.0
✕Michael Beltre 2022 · AA	27	46→52	47→45	61→60	44	226/286/372	146	300	13	26	29%	7%	84	+0.2	221/289/362	141	319	14	32	33%	8%	84	+0.1	196/278/327	131	295	15	50	36%	9%	70	-0.4
✕Magneuris Sierra 2023 · MLB	27	50→58	40	61→60	43	239/285/333	94	298	7	30	22%	5%	74	-0.5	226/278/326	100	303	9	23	27%	6%	71	-0.8	203/254/267	64	293	4	26	30%	6%	45	-1.0
✕Chavez Young 2024 · AAA	27	42→50	41→45	59→60	47	204/280/299	95	274	8	33	27%	8%	66	-1.1	206/278/308	102	289	8	22	30%	7%	68	-1.0	181/254/268	87	272	5	21	33%	6%	47	-0.7
✕Ruben Sosa 2019 · AAA	28	51→54	41→45	60	46	245/301/358	113	313	7	24	23%	7%	86	+0.3	245/314/343	98	302	8	24	20%	7%	89	+0.5	255/329/337	82	314	7	29	19%	7%	88	+0.4
✕Pedro Florimón 2015 · MLB	28	43→53	41→45	54→55	43	212/265/311	100	285	8	19	28%	6%	62	-1.4	212/264/318	106	304	8	18	31%	6%	63	-1.3	217/272/330	113	320	10	11	33%	6%	68	-0.5
✕Riley Unroe 2024 · AAA	28	44→47	44→45	54→55	50	216/293/331	115	279	11	21	26%	9%	78	-0.3	217/297/337	120	296	12	22	28%	10%	81	-0.1	202/289/323	121	280	13	23	30%	10%	72	-0.3
✕Jorge Mateo 2023 · MLB	28	44→50	48→50	60→65	40	224/272/371	148	287	14	32	27%	5%	79	-0.2	220/268/357	137	277	14	40	25%	6%	74	-0.5	209/250/335	125	273	13	52	28%	5%	63	-0.4
✕Wayne Lydon 2008 · AAA	27	51→53	40→45	58→55	44	242/290/341	99	308	7	24	23%	6%	78	-0.3	234/288/311	77	291	5	28	20%	7%	70	-0.8	234/290/282	48	288	1	38	18%	7%	63	-1.3
✕John Andreoli 2018 · AAA	28	44→54	45	58→60	47	212/292/341	129	302	12	29	32%	10%	80	-0.1	212/295/329	117	312	10	19	32%	10%	79	-0.2	196/288/304	108	300	9	17	34%	11%	69	-0.6
✕Tyler Wade 2023 · MLB	28	45→55	40→45	57→60	50	216/289/307	92	274	8	35	23%	9%	71	-0.8	231/297/309	78	304	6	35	24%	8%	74	-0.5	232/301/293	61	309	4	40	24%	8%	70	-0.4
✕Greg Allen 2021 · MLB	28	49→57	43→45	56→65	43	237/302/356	119	295	10	23	23%	6%	87	+0.4	240/331/358	118	311	10	37	24%	7%	99	+1.3	235/337/343	108	314	8	52	25%	7%	97	+0.4
✕Tim Raines Jr. 2008 · AAA	28	52→55	44→50	58→60	41	253/289/368	115	315	11	29	23%	5%	84	+0.2	238/271/371	133	292	13	24	23%	4%	78	-0.3	232/262/370	138	282	13	26	23%	4%	72	-0.5
✕Roman Quinn 2022 · MLB	29	47→57	45	61→65	44	224/301/353	129	315	11	31	31%	8%	86	+0.3	210/301/333	123	337	10	25	37%	10%	82	+0.0	178/281/285	107	312	8	34	40%	11%	63	-0.4
✕Tyler Saladino 2016 · MLB	27	49→47	42→45	59→55	46	237/289/344	107	283	9	25	20%	6%	79	-0.2	234/289/341	107	291	10	19	22%	6%	78	-0.3	227/287/327	100	289	10	17	24%	7%	74	-0.3
✕José Azocar 2024 · MLB	28	49→56	42→45	55→65	40	238/279/347	108	307	9	28	25%	5%	76	-0.4	232/272/322	90	292	7	34	22%	4%	68	-1.0	229/269/305	76	287	5	37	21%	4%	60	-1.0
✕Cesar Crespo 2006 · MLB	27	48→51	44→40	57→55	48	236/291/356	119	278	10	28	19%	7%	82	+0.0	227/282/313	86	282	7	18	21%	7%	69	-0.9	221/277/287	65	278	5	15	21%	7%	58	-1.3

Leody Taveras

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps