Esteury Ruiz

CF Miami Marlins

Age 28 R/R 5'11" / 169 lbs MLB HR -10%H -3% Svc 3.372 · Ctrl thru 2029

Overview

MLB40-MANArb-1FA 2030

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	25	AAA/AOAK	68	.370/.477/.611	3	8	168	—	.339/.419/.514
2024	25	MLBOakland Athle…	65	.200/.279/.382	2	5	78	-0.4
2025	26	AAA/INTL2 orgs	533	.290/.401/.489	17	69	115	—	.279/.357/.437
2025	26	MLBLAD	23	.190/.261/.333	1	4	68	-0.6
2026	27	MLBMIA	255	.216/.333/.366	6	34	108	1.3
2027PROJ	28	MLBMIA	213	.199/.301/.341	6	24	90	0.6
2028PROJ82% MLB	29	MLBMIA	189	.197/.298/.334	5	19	87	0.3

Last 3 seasons WAR 0.2 · Next 2 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service3.372First FA2030

2027Arb-1$0.8M2028Arb-2$2M2029Ext$2M

Skills · percentileStatcast 2024-2026

Speed90

Barrel%49

Bat Spd41

xwOBA22

Avg EV10

Form.195/.292/.318 ▼▼ rolling true talent (60d window) · proj .206/.305/.357

CompsJosé Caballero (age 27) · Dairon Blanco (age 30) · Samad Taylor (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†90

AVG/OBP/SLG.199 / .301 / .341

PA213

HR6

SB24

K%31

BB%9

BABIP271

ISO147

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · Recent Form · Splits · ContractCON 60 / POW 55

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT60

xAVG

100.175

POWER55

Barrel%

498.0

Avg EV

1083.6

Bat Spd

4170.4

EYE60

scouting grade only

SPEED60

Sprint

9029.9

Recent Formrolling true talent ⓘ

K%32%▼34% over 59 PA (60d) · proj 31%

BB%9%·8% over 59 PA (60d) · proj 10%

ISO.123▼.038 over 52 AB (60d) · proj .151

HR/BB3.9%▼0.0% over 32 BBE (60d) · proj 5.1%

BABIP.280·.250 over 32 BIP (60d) · proj .281

SLASH.195/.292/.318▼▼proj .206/.305/.357

Platoon Splits2024 · 65 PA

vs LHP

vs RHP

Edge

—

wRC+

145

-11

◀◀L

wOBA

383

153

◀◀L

ISO

276

077

◀◀L

BABIP

316

188

◀◀L

27.8%

34.5%

◀◀L

BB%

11.1%

0.0%

—

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

Status Arb-1

MLB Debut 2022

Service 3.372 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$0.8M	+0.4	$2M	+$0.8M
2028	Arb-2	$2M	+0.3	$1M	+$0.0M (cut)
2029	Ext	beyond projection horizon · no WAR estimate
Totals		$0.8M		$3M	+$0.8M

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	DSL Royals	—	244	217	68	18	5	5	19	35	4	13	10	313	379	512	891	198	354	14	8	385	53	—	—	—	—	—	—
2017	18	ROK	AZL Padres	—	225	206	72	20	10	4	13	54	3	26	6	350	396	602	998	252	456	24	6	426	82	—	—	—	—	—	—
2018	19	A	Fort Wayne TinCaps	—	493	439	111	20	5	12	38	141	9	49	11	253	325	403	728	150	345	29	8	322	49	—	—	—	—	—	—
2019	20	A+	Lake Elsinore Storm	—	380	339	81	18	2	6	26	101	5	34	11	239	303	357	660	118	319	27	7	291	46	—	—	—	—	—	—
2021	22	AA	San Antonio Missions	—	353	309	77	16	2	10	28	73	9	36	7	249	329	411	740	162	294	21	8	326	78	—	—	—	—	—	—
2021	22	INTL	Toros del Este	—	46	43	7	2	0	0	1	11	1	5	1	163	200	209	409	47	212	24	2	185	12	—	—	—	—	—	—
2022	23	MLB	Milwaukee Brewers	—	36	35	6	1	1	0	1	7	0	1	2	171	194	257	452	86	214	19	3	200	25	-3	-1	-0	-7	+1	-1.0
2022	23	AAA	Nashville Sounds	—	309	257	83	16	0	7	34	54	13	48	9	323	428	467	895	144	388	17	11	397	122	—	—	—	—	—	—
2022	23	AA	San Antonio Missions	—	232	180	62	17	2	9	32	40	14	37	5	344	476	611	1.087	267	398	17	14	462	159	—	—	—	—	—	—
2022	23	INTL	Toros del Este	—	49	44	8	1	0	0	3	6	1	5	2	182	250	205	455	23	205	12	6	213	30	—	—	—	—	—	—
2023	24	MLB	Oakland Athletics	—	497	449	114	24	1	5	20	99	16	67	13	254	305	345	650	91	315	20	4	291	83	-10	+8	-2	+2	+11	0.9
2023	24	AAA	Las Vegas Aviators	—	21	20	8	1	1	1	1	5	0	3	0	400	429	700	1.129	300	500	24	5	486	154	—	—	—	—	—	—
2024	25	MLB	Oakland Athletics	—	65	55	11	2	1	2	4	20	2	5	4	200	279	382	661	182	257	31	6	277	78	-2	-1	-2	-1	+1	-0.4
2024	25	AAA	Las Vegas Aviators	—	52	43	14	2	0	3	6	10	2	7	1	326	431	581	1.013	256	355	19	12	435	138	—	—	—	—	—	—
2024	25	A	Stockton Ports	—	16	11	6	2	0	0	3	3	0	1	2	545	643	727	1.370	182	600	19	19	518	265	—	—	—	—	—	—
2025	26	MLB	Los Angeles Dodgers	—	23	21	4	0	0	1	2	8	0	4	0	190	261	333	594	143	250	35	9	269	68	-1	+1	-0	-6	+0	-0.6
2025	26	AAA	Oklahoma City Comets	—	494	411	125	25	6	16	64	89	12	63	11	304	410	511	921	207	355	18	13	403	120	—	—	—	—	—	—
2025	26	INTL	Tigres del Licey	—	39	31	3	0	0	1	7	8	1	6	3	97	282	194	476	97	91	21	18	244	51	—	—	—	—	—	—
2026	27	MLB	Miami Marlins	—	255	213	46	12	1	6	26	82	12	34	8	216	333	366	700	150	317	32	10	317	108	+2	+4	+0	+1	+6	1.3
2026	27	AAA	Jacksonville Jumbo Shrimp	—	19	17	2	0	0	1	2	9	0	1	0	118	211	294	505	176	143	47	11	231	-12	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	876	773	181	39	4	14	53	216	30	111	27	234	306	349	655	115	305	25	6	293	85	-16	+11	-4	-11	+19	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	17	ROK MLE	DSL Royals	—	244	222	44	11	3	2	14	43	4	13	10	198	258	302	560	104	231	18	6	246	53	—	—	—	—	—	—
2017	18	ROK MLE	AZL Padres	—	225	211	51	13	7	3	8	78	3	26	6	242	279	412	692	171	357	35	4	289	82	—	—	—	—	—	—
2018	19	A MLE	Fort Wayne TinCaps	—	493	450	87	14	4	8	27	192	9	49	11	193	253	296	549	102	308	39	5	240	49	—	—	—	—	—	—
2019	20	A+ MLE	Lake Elsinore Storm	—	380	345	68	14	2	6	20	137	5	34	11	197	251	301	553	104	286	36	5	236	46	—	—	—	—	—	—
2021	22	AA MLE	San Antonio Missions	—	353	318	72	15	2	9	19	94	9	36	7	226	289	371	660	145	281	27	5	284	78	—	—	—	—	—	—
2022	23	MLB MLE	Milwaukee Brewers	—	36	35	6	1	1	0	1	7	0	1	2	171	194	257	452	86	214	19	3	204	25	-3	-1	-0	-7	+1	-1.0
2022	23	AAA MLE	Nashville Sounds	—	309	266	79	15	0	5	25	67	13	48	9	297	385	410	795	113	371	22	8	349	122	—	—	—	—	—	—
2022	23	AA MLE	San Antonio Missions	—	232	189	58	14	2	9	24	48	14	37	5	307	423	545	968	238	348	21	10	403	159	—	—	—	—	—	—
2023	24	MLB MLE	Oakland Athletics	—	497	457	113	23	1	5	19	99	16	67	13	247	301	335	636	88	315	20	4	290	83	-10	+8	-2	+2	+11	0.9
2023	24	AAA MLE	Las Vegas Aviators	—	21	20	8	1	1	1	1	6	0	3	0	400	429	700	1.129	300	461	29	5	396	154	—	—	—	—	—	—
2024	25	MLB MLE	Oakland Athletics	—	65	55	11	2	1	2	4	20	2	5	4	200	279	382	661	182	257	31	6	283	78	-2	-1	-2	-1	+1	-0.4
2024	25	AAA MLE	Las Vegas Aviators	—	52	45	13	2	0	2	4	12	2	7	1	289	373	467	839	178	329	23	8	372	138	—	—	—	—	—	—
2024	25	A MLE	Stockton Ports	—	16	12	6	2	0	0	2	4	0	1	2	500	571	667	1.238	167	542	25	12	560	265	—	—	—	—	—	—
2025	26	MLB MLE	Los Angeles Dodgers	—	23	21	4	0	0	1	2	8	0	4	0	190	261	333	594	143	250	35	9	269	68	-1	+1	-0	-6	+0	-0.6
2025	26	AAA MLE	Oklahoma City Comets	—	494	437	122	23	5	12	41	105	12	63	11	279	357	437	794	158	339	21	8	346	120	—	—	—	—	—	—
2026	27	MLB MLE	Miami Marlins	—	255	214	47	13	1	6	26	82	12	34	8	220	337	374	711	154	317	32	10	327	108	+2	+4	+0	+1	+6	1.3
2026	27	AAA MLE	Jacksonville Jumbo Shrimp	—	19	18	2	0	0	1	1	11	0	1	0	111	158	278	436	167	128	58	5	150	-12	—	—	—	—	—	—
2016	17	ROK MLE	DSL Royals	—	244	222	44	11	3	2	14	43	4	13	10	198	258	302	560	104	236	18	6	246	53	—	—	—	—	—	—
2016	17	ROK RAW	DSL Royals	—	244	217	68	18	5	5	19	35	4	13	10	313	379	512	891	198	354	14	8	385	53	—	—	—	—	—	—
2017	18	ROK MLE	AZL Padres	—	225	211	51	13	7	3	8	78	3	26	6	242	279	412	692	171	366	35	4	289	82	—	—	—	—	—	—
2017	18	ROK RAW	AZL Padres	—	225	206	72	20	10	4	13	54	3	26	6	350	396	602	998	252	456	24	6	426	82	—	—	—	—	—	—
2018	19	A MLE	Fort Wayne TinCaps	—	493	450	87	14	4	8	27	192	9	49	11	193	253	296	549	102	315	39	5	240	49	—	—	—	—	—	—
2018	19	A RAW	Fort Wayne TinCaps	—	493	439	111	20	5	12	38	141	9	49	11	253	325	403	728	150	345	29	8	322	49	—	—	—	—	—	—
2019	20	A+ MLE	Lake Elsinore Storm	—	380	345	68	14	2	6	20	137	5	34	11	197	251	301	553	104	302	36	5	236	46	—	—	—	—	—	—
2019	20	A+ RAW	Lake Elsinore Storm	—	380	339	81	18	2	6	26	101	5	34	11	239	303	357	660	118	319	27	7	291	46	—	—	—	—	—	—
2021	22	AA MLE	2 teams	—	399	359	81	17	2	10	22	106	10	41	8	226	289	368	657	142	289	27	6	284	78	—	—	—	—	—	—
2021	22	AA RAW	2 teams	—	399	352	84	18	2	10	29	84	10	41	8	239	315	386	701	148	284	21	7	310	78	—	—	—	—	—	—
2022	23	AAA MLE	4 teams	—	626	533	155	32	3	16	54	133	28	91	18	291	385	452	838	161	359	21	9	362	131	—	—	—	—	—	—
2022	23	AAA RAW	4 teams	—	626	516	159	35	3	16	70	107	28	91	18	308	418	481	899	172	361	17	11	395	131	—	—	—	—	—	—
2023	24	MLB MLE	2 teams	—	518	477	121	24	2	6	20	105	16	70	13	254	306	350	656	96	313	20	4	295	86	-9	+9	-2	+2	+11	1.2
2023	24	MLB RAW	2 teams	—	518	469	122	25	2	6	21	104	16	70	13	260	310	360	670	100	322	20	4	299	86	-9	+9	-2	+2	+11	1.2
2024	25	MLB MLE	3 teams	—	133	112	31	6	1	4	10	36	4	13	7	277	357	455	812	179	351	27	8	351	124	+4	-0	-2	-1	+3	0.3
2024	25	MLB RAW	3 teams	—	133	109	31	6	1	5	13	33	4	13	7	284	381	495	876	211	342	25	10	368	124	+4	-0	-2	-1	+3	0.3
2025	26	AAA MLE	3 teams	—	556	492	136	25	6	14	47	122	13	73	14	276	355	437	792	161	342	22	8	343	118	—	—	—	—	—	—
2025	26	AAA RAW	3 teams	—	556	463	132	25	6	18	73	105	13	73	14	285	395	482	877	197	334	19	13	386	118	—	—	—	—	—	—
2026	27	MLB MLE	2 teams	—	274	232	49	13	1	7	27	93	12	35	8	211	325	366	691	155	316	34	10	315	99	-0	+4	+0	+1	+6	1.1
2026	27	MLB RAW	2 teams	—	274	230	48	12	1	7	28	91	12	35	8	209	325	361	686	152	308	33	10	311	99	-0	+4	+0	+1	+6	1.1
2016	17	ROK MLE	DSL Royals	—	244	224	44	11	3	2	14	43	4	13	10	196	258	299	557	103	231	18	6	246	53	—	—	—	—	—	—
2017	18	ROK MLE	AZL Padres	—	225	212	51	13	7	3	8	78	3	26	6	241	279	410	690	170	357	35	4	289	82	—	—	—	—	—	—
2018	19	A MLE	Fort Wayne TinCaps	—	493	454	87	14	4	8	27	192	9	49	11	192	253	293	546	101	308	39	5	240	49	—	—	—	—	—	—
2019	20	A+ MLE	Lake Elsinore Storm	—	380	352	68	14	2	6	20	137	5	34	11	193	251	295	547	102	286	36	5	236	46	—	—	—	—	—	—
2021	22	AA MLE	2 teams	—	399	364	81	17	2	10	22	106	10	41	8	223	289	363	652	140	281	27	6	284	78	—	—	—	—	—	—
2022	23	AAA MLE	4 teams	—	626	539	155	32	3	16	54	133	28	91	18	288	385	447	832	160	352	21	9	362	131	—	—	—	—	—	—
2023	24	MLB MLE	2 teams	—	518	477	121	24	2	6	20	105	16	70	13	254	306	350	656	96	321	20	4	295	86	—	—	—	—	—	—
2024	25	MLB MLE	3 teams	—	133	118	31	6	1	4	10	36	4	13	7	263	357	432	789	169	320	27	8	351	124	—	—	—	—	—	—
2025	26	AAA MLE	3 teams	—	556	491	136	25	6	14	47	122	13	73	14	277	355	438	793	161	335	22	8	343	118	—	—	—	—	—	—
2026	27	MLB MLE	2 teams	—	274	233	49	13	1	7	27	93	12	35	8	210	325	365	690	155	304	34	10	315	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	25	MLB MLE	3 teams	—	133	118	31	6	1	4	10	36	4	13	7	263	357	432	789	169	320	27	8	351	124	—	—	—	—	—	—
2025	26	AAA MLE	3 teams	—	556	491	136	25	6	14	47	122	13	73	14	277	355	438	793	161	335	22	8	343	118	—	—	—	—	—	—
2026	27	MLB MLE	2 teams	—	274	233	49	13	1	7	27	93	12	35	8	210	325	365	690	155	304	34	10	315	99	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	28	MLB MLE	MIA	100%	324	280	58	11	2	9	31	100	10	36	6	207	307	357	665	151	281	31	10	301	90	-4	+5	-1	+1	+7	0.4
▸ 2027 — real world (MLB)
2027	28	MLB CTX	MIA	100%	213	184	37	7	1	6	20	66	7	24	4	199	301	341	642	142	271	31	9	292	90	-3	+3	-0	+1	+5	0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	29	MLB MLE	MIA	82%	231	200	40	8	1	6	22	72	7	23	4	204	304	350	654	147	279	31	10	297	87	-3	+3	-2	+1	+5	0.3
2028	29	MLB CTX	MIA	82%	189	163	32	6	1	5	18	59	6	19	3	197	298	334	632	138	269	31	10	289	87	-3	+3	-2	+1	+4	0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1065	936	213	45	5	19	71	275	36	130	30	228	304	347	652	120	300	26	7	292	88	-19	+14	-6	-11	+23	0.2
/ 162G	—	A+C		—	650	571	130	27	3	12	43	168	22	79	18	228	304	349	652	121	299	26	7	292	88	-12	+9	-3	-6	+14	0.1
Career	—	MLE		—	4292	3817	901	184	33	88	291	1183	118	492	114	236	310	371	681	135	317	28	7	299	88	-22	+18	-6	-10	+29	0.8
/ 162G	—	MLE		—	650	578	136	28	5	13	44	179	18	75	17	235	309	369	678	133	316	28	7	299	88	-11	+9	-3	-5	+14	0.4

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 AAAJacksonville Jumbo Shrimp · 19 PAwOBA .224 → .150 (−74)K% 47.4% → 56.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	47.37%	÷1.000	×1.200	—	—	56.84%
BB% (unintentional) /PA	10.53%	÷1.000	×0.690	—	×1.003	7.28%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	12.50%	÷1.000	×0.930	—	×1.003	11.66%
Doubles /BIP	0.00%	÷1.000	×0.830	—	×1.003	0.00%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.003	0.00%
Home runs /BIP	12.50%	÷1.000	×0.700	—	×1.003	8.78%

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 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .224 → .150; ISO .176 → .106; BABIP .143 → .128. 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 AAAOklahoma City Comets · 494 PAwOBA .394 → .346 (−47)K% 18.0% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.02%	÷1.015	×1.200	—	—	21.30%
BB% (unintentional) /PA	12.96%	÷1.083	×0.690	—	×1.018	8.40%
HBP% /PA	2.43%	—	×0.940	—	×1.018	2.32%
Singles /BIP	24.22%	÷0.951	×0.930	×1.009	×1.018	24.32%
Doubles /BIP	7.76%	÷0.969	×0.830	×1.009	×1.018	6.83%
Triples /BIP	1.86%	÷1.150	×0.970	×1.009	×1.018	1.61%
Home runs /BIP	4.97%	÷0.956	×0.700	—	×1.018	3.70%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 90, 2B 94, 3B 130, K 103, BB 117 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .394 → .346; ISO .207 → .173; BABIP .355 → .339. 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).

2024 AAALas Vegas Aviators · 52 PAwOBA .431 → .372 (−60)K% 19.2% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷1.022	×1.200	—	—	22.58%
BB% (unintentional) /PA	11.54%	÷0.952	×0.690	—	×1.033	8.64%
HBP% /PA	3.85%	—	×0.940	—	×1.033	3.73%
Singles /BIP	27.27%	÷0.974	×0.930	—	×1.033	26.90%
Doubles /BIP	6.06%	÷1.088	×0.830	—	×1.033	4.78%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.033	0.00%
Home runs /BIP	9.09%	÷1.001	×0.700	—	×1.033	6.57%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 95, 2B 118, 3B 130, K 104, BB 90 — 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).

Result: wOBA .431 → .372; ISO .256 → .193; BABIP .355 → .329. 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).

2024 AStockton Ports · 16 PAwOBA .577 → .560 (−17)K% 18.8% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.015	×1.360	—	—	25.11%
BB% (unintentional) /PA	18.75%	÷1.021	×0.690	—	×0.970	12.29%
HBP% /PA	0.00%	—	×0.780	—	×0.970	0.00%
Singles /BIP	50.00%	÷1.004	×0.920	—	×0.970	44.46%
Doubles /BIP	25.00%	÷0.979	×0.830	—	×0.970	20.56%
Triples /BIP	0.00%	÷0.900	×0.910	—	×0.970	0.00%
Home runs /BIP	0.00%	÷1.164	×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 133, 1B 101, 2B 96, 3B 80, K 103, BB 104 — 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 .577 → .560; ISO .182 → .187; BABIP .600 → .542. 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 · 21 PAwOBA .472 → .396 (−76)K% 23.8% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.017	×1.200	—	—	28.08%
BB% (unintentional) /PA	4.76%	÷1.055	×0.690	—	×1.048	3.26%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	33.33%	÷0.993	×0.930	—	×1.048	32.71%
Doubles /BIP	6.67%	÷1.124	×0.830	—	×1.048	5.16%
Triples /BIP	6.67%	÷1.133	×0.970	—	×1.048	5.98%
Home runs /BIP	6.67%	÷0.996	×0.700	—	×1.048	4.91%

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 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .472 → .396; ISO .300 → .230; BABIP .500 → .461. 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 AAANashville Sounds · 309 PAwOBA .387 → .349 (−38)K% 17.5% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.48%	÷0.971	×1.200	—	—	21.61%
BB% (unintentional) /PA	11.00%	÷0.994	×0.690	—	×1.050	8.02%
HBP% /PA	4.21%	—	×0.940	—	×1.050	4.15%
Singles /BIP	29.56%	÷0.996	×0.930	×0.997	×1.050	28.90%
Doubles /BIP	7.88%	÷0.952	×0.830	×0.997	×1.050	7.20%
Triples /BIP	0.00%	÷1.150	×0.970	×0.997	×1.050	0.00%
Home runs /BIP	3.45%	÷0.946	×0.700	—	×1.050	2.68%

Factors used: league row International League. Park (home-season share, regressed): HR 89, 1B 99, 2B 90, 3B 130, K 94, BB 99 — 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 ×0.997.

Result: wOBA .387 → .349; ISO .144 → .121; BABIP .388 → .371. 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 AASan Antonio Missions · 232 PAwOBA .454 → .403 (−51)K% 17.2% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.24%	÷1.008	×1.220	—	—	20.87%
BB% (unintentional) /PA	13.79%	÷0.965	×0.700	—	×1.027	10.28%
HBP% /PA	6.03%	—	×0.870	—	×1.027	5.39%
Singles /BIP	24.29%	÷0.979	×0.920	×0.950	×1.027	22.26%
Doubles /BIP	12.14%	÷1.035	×0.840	×0.950	×1.027	9.62%
Triples /BIP	1.43%	÷1.035	×0.940	×0.950	×1.027	1.27%
Home runs /BIP	6.43%	÷0.870	×0.800	—	×1.027	6.07%

Factors used: league row TL. Park (home-season share, regressed): HR 74, 1B 96, 2B 107, 3B 107, K 102, BB 93 — applied at half strength. Age: age 23 vs a level average of 24.8 → +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 .454 → .403; ISO .267 → .248; BABIP .398 → .348. 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 AASan Antonio Missions · 353 PAwOBA .319 → .284 (−35)K% 20.7% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.68%	÷0.949	×1.220	—	—	26.60%
BB% (unintentional) /PA	7.93%	÷1.028	×0.690	—	×1.042	5.55%
HBP% /PA	2.55%	—	×0.850	—	×1.042	2.26%
Singles /BIP	20.76%	÷0.989	×0.940	×0.973	×1.042	20.00%
Doubles /BIP	6.78%	÷0.925	×0.870	×0.973	×1.042	6.46%
Triples /BIP	0.85%	÷1.071	×0.920	×0.973	×1.042	0.74%
Home runs /BIP	4.24%	÷0.868	×0.780	—	×1.042	3.97%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 98, 2B 85, 3B 114, K 90, BB 106 — 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 ×0.973.

Result: wOBA .319 → .284; ISO .162 → .149; BABIP .294 → .281. 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
#1Jarrod Dysonlast yr '21 career totals — 12 seasons, 2,833 PA	4.3	2,833	21	266	244	314	332	+10	+50	11.8	11.6
/162	664	5	62	+2.4	+11.7	2.8	pk7: 11
#2Rajai Davislast yr '18 career totals — 12 seasons, 4,564 PA	6.9	4,564	61	414	263	311	380	-3	-25	10.5	10.3
/162	664	9	60	-0.4	-3.6	1.5	pk7: 10
#3Rudy Law'78-'86 * career totals — 6 seasons, 2,647 PA	4.0	2,647	18	228	266*	325*	384*	-4	-3	6.5	6.5
/162	664	5	57	-0.9	-0.7	1.6	pk7: 6
#4Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.8	1,219	24	149	226	306	351	+2	-9	3.4	3.4
/162	664	13	81	+0.9	-4.9	1.9	pk7: 3
#5Ed Stroud'66-'71 * career totals — 5 seasons, 1,500 PA	2.3	1,500	14	72	245*	312*	375*	-6	-0	2.5	2.5
/162	664	6	32	-2.7	-0.2	1.1	pk7: 2
#6Tom Goodwin'91-'04 * career totals — 11 seasons, 4,315 PA	6.5	4,315	24	369	255*	316*	327*	-0	-2	0.9	2.2
/162	664	4	57	-0.0	-0.3	0.1	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
Esteury Ruiz (OGILVIE)	28	60	55	60	60	205/305/354	149	281	6	24	31%	10%	90	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕José Caballero 2024 · MLB	27	47→45	44→45	63→70	57	228/349/346	118	284	11	43	22%	12%	104	+1.6	229/307/349	120	299	12	51	26%	8%	88	+0.4	225/297/344	119	294	12	58	26%	8%	84	+0.1
✕Dairon Blanco 2023 · AAA	30	48→50	46→45	62→70	41	237/290/363	127	308	14	42	27%	6%	84	+0.2	249/310/375	126	320	13	71	25%	6%	95	+0.9	246/312/366	120	313	12	95	24%	6%	91	+0.3
✕Samad Taylor 2024 · MLB	26	51→61	45→50	63→65	49	246/323/375	129	330	12	43	28%	9%	99	+1.3	248/315/357	109	335	9	36	26%	8%	92	+0.7	253/319/358	105	339	9	36	26%	8%	90	+0.6
✕Keon Broxton 2017 · MLB	27	49→52	49→55	62→60	45	234/305/396	163	347	16	36	35%	9%	97	+1.1	209/283/366	157	338	18	32	40%	9%	82	+0.0	192/267/340	148	315	18	33	42%	8%	71	-0.5
✕Bubba Thompson 2024 · MLB	26	52→59	44→50	65	39	248/295/367	120	337	11	43	29%	5%	86	+0.3	216/259/305	89	318	7	31	33%	5%	59	-1.7	186/210/227	40	296	2	37	36%	3%	17	-2.1
✕Roman Quinn 2021 · MLB	28	49→57	46→45	65	43	239/297/373	134	324	13	36	29%	7%	88	+0.5	216/302/341	125	329	11	27	34%	9%	84	+0.2	178/281/285	107	312	8	34	40%	11%	63	-0.4
✕Forrest Wall 2024 · MLB	28	51→55	41→45	69→70	44	239/301/343	105	333	7	54	29%	7%	83	+0.1	244/312/344	100	338	8	38	28%	8%	88	+0.4	245/318/331	86	342	7	38	28%	8%	84	+0.1
✕Jorge Mateo 2024 · MLB	29	43→50	47→50	62→65	42	219/269/356	137	274	14	39	26%	6%	74	-0.5	219/265/353	134	280	14	41	26%	6%	72	-0.7	209/250/335	125	273	13	52	28%	5%	63	-0.4
✕J.P. Martínez 2024 · MLB	28	46→48	48→50	64→65	47	222/305/370	147	315	14	37	32%	10%	92	+0.7	213/288/327	114	313	10	34	32%	9%	76	-0.4	191/267/275	85	292	6	43	34%	8%	53	-1.6
✕Corey Patterson 2008 · MLB	28	51→54	47→55	61→60	43	254/289/390	136	285	14	39	17%	4%	90	+0.6	233/269/362	129	274	13	28	20%	4%	76	-0.4	234/269/352	118	293	11	28	23%	4%	72	-0.5
✕Drew Stubbs 2013 · MLB	28	46→56	46→50	57→60	46	229/298/356	127	310	15	31	30%	8%	86	+0.3	235/300/372	137	330	15	24	31%	8%	90	+0.6	233/301/372	139	331	14	24	32%	8%	90	+0.4
●Rajai Davis 2009 · MLB	28	53→63	41→50	67→70	47	256/305/357	102	294	7	54	16%	6%	87	+0.4	273/319/382	109	321	6	51	16%	6%	99	+1.2	264/312/409	145	311	13	43	19%	6%	103	+1.2
●Jonathan Villar 2019 · MLB	28	54→60	47→50	59→65	47	260/323/394	135	342	15	37	27%	8%	103	+1.6	257/322/403	146	330	17	30	26%	8%	105	+1.7	256/324/408	152	325	18	29	25%	9%	108	+1.5
✕Adalberto Mondesi 2021 · MLB	26	51→53	51→60	68→65	38	253/290/423	169	336	17	49	30%	5%	98	+1.2	227/274/382	155	306	18	39	31%	6%	83	+0.1	208/244/397	189	262	25	57	31%	4%	75	-0.2
●Carlos Gómez 2013 · MLB	27	48→58	52→60	63→65	42	247/295/420	173	290	20	38	23%	5%	99	+1.3	272/330/465	193	328	21	33	23%	6%	123	+3.0	274/336/462	188	331	20	32	23%	7%	125	+3.0
✕Billy Hamilton 2019 · MLB	28	51→61	39→40	67→70	48	241/300/333	92	307	5	44	22%	8%	80	-0.2	221/280/315	94	297	6	34	26%	8%	69	-0.9	158/208/235	77	253	4	47	37%	6%	22	-1.0
●Brett Gardner 2012 · MLB	28	55→60	41→55	66→65	58	260/348/367	107	306	7	45	16%	11%	107	+1.8	260/337/389	129	317	9	29	19%	10%	107	+1.8	245/329/417	171	277	19	16	18%	10%	112	+2.2
✕Dylan Moore 2023 · MLB	30	43→49	51→55	57→65	52	219/326/387	168	288	18	35	29%	11%	105	+1.7	214/315/385	171	288	18	32	30%	11%	100	+1.3	199/300/371	172	267	19	37	31%	10%	91	+0.3
✕Tyler Wade 2024 · MLB	29	49→58	39→45	61→60	47	234/299/321	87	306	7	42	25%	8%	78	-0.3	224/293/294	70	295	5	29	24%	8%	70	-0.9	213/289/252	39	283	1	26	23%	9%	58	-0.6
●B.J. Upton 2011 · MLB	26	50→60	49→60	59→60	53	243/326/403	159	309	14	37	25%	11%	107	+1.8	233/306/413	180	294	21	29	27%	9%	102	+1.5	224/297/397	174	282	22	28	28%	9%	96	+1.0

Esteury Ruiz

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps