Coco Montes

2B Durham Bulls

Age 30 R/R 6'0" / 215 lbs AAA HR -6%H +4% Svc 4.000 · Ctrl thru 2028

Overview

AAAROOKIEArb-2FA 2029

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	26	AAA/INTL2 orgs	613	.317/.400/.529	24	15	105	—	.245/.317/.400
2023	26	MLBCOL	41	.184/.244/.316	1	0	51	-0.1
2024	27	AAACOL	297	.335/.421/.551	9	5	118	—	.289/.353/.447
2025	28	AAA/INTL2 orgs	449	.213/.279/.321	8	8	32	—	.187/.238/.259
2026	29	No MLB games played
2027PROJ10% MLB	30	MLBTB	16	.235/.289/.343	0	0	77	-0.0
2028PROJ27% MLB	31	MLBTB	69	.232/.286/.337	1	1	75	-0.1

Last 3 seasons WAR -0.1 · Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service4.000First FA2029

2027Arb-2$0.4M2028Arb-3$0.6M

Skills · percentileMiLB Statcast 2025 AAA

Max EV51

Speed46

BB%26

Chase%23

K%21

Z-Con%21

CompsCam Gallagher (age 30) · Tomás Nido (age 30) · Xorge Carrillo (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†77

AVG/OBP/SLG.235 / .289 / .343

PA16

HR0

K%31

BB%6

BABIP321

ISO67

MLB%10%

Value2027 · WAR

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

Tools · ContractCON 35 / POW 40

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT35

xAVG

100.169

POWER40

Barrel%

103.1

Avg EV

1084.0

Bat Spd

6272.7

EYE40

scouting grade only

SPEED50

Sprint

1225.6

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

Status Arb-2

MLB Debut 2023

Service 4.000 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-2	$0.4M	—	—	—
2028	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-0.4M	+$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)
2018	21	ROK	Grand Junction Rockies	—	310	267	89	18	3	8	35	69	4	7	6	333	418	513	931	180	418	22	11	407	74	—	—	—	—	—	—
2019	22	A	Asheville Tourists	—	549	500	129	29	3	13	29	122	8	6	11	258	309	406	715	148	311	22	5	312	29	—	—	—	—	—	—
2021	24	AA	Hartford Yard Goats	—	474	431	111	37	3	13	33	120	6	3	4	258	319	448	767	190	325	25	7	336	65	—	—	—	—	—	—
2022	25	AAA	Albuquerque Isotopes	—	479	420	115	27	4	20	50	131	7	13	1	274	361	500	861	226	351	27	10	377	75	—	—	—	—	—	—
2022	25	AA	Hartford Yard Goats	—	60	49	12	1	0	0	10	13	1	2	0	245	383	265	649	20	333	22	17	316	61	—	—	—	—	—	—
2022	25	INTL	Aguilas de Mexicali	—	138	123	28	4	1	0	9	24	2	2	3	228	291	276	567	49	275	17	7	256	59	—	—	—	—	—	—
2023	26	MLB	Colorado Rockies	—	41	38	7	2	0	1	2	12	1	0	0	184	244	316	560	132	240	29	5	254	51	-2	+0	-2	+2	+1	-0.1
2023	26	AAA	Albuquerque Isotopes	—	507	436	138	26	5	22	59	130	6	11	6	317	405	550	956	234	400	26	12	414	99	—	—	—	—	—	—
2023	26	INTL	Aguilas Cibaenas	—	106	97	31	5	0	2	8	18	1	4	2	320	377	433	810	113	377	17	8	364	133	—	—	—	—	—	—
2024	27	AAA	Albuquerque Isotopes	—	297	254	85	16	6	9	37	54	1	5	2	335	421	551	972	217	388	18	12	419	118	—	—	—	—	—	—
2025	28	AAA	Durham Bulls	—	415	375	82	19	0	8	32	123	5	7	2	219	289	333	622	115	300	30	8	281	36	—	—	—	—	—	—
2025	28	INTL	Estrellas Orientales	—	34	33	5	1	0	0	0	9	0	1	0	152	152	182	333	30	208	26	0	144	-16	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	41	38	7	2	0	1	2	12	1	0	0	184	244	316	560	132	240	29	5	254	58	-2	+0	-2	+2	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	21	ROK MLE	Grand Junction Rockies	—	310	281	65	12	2	6	21	100	4	7	6	231	294	352	646	121	317	32	7	277	74	—	—	—	—	—	—
2019	22	A MLE	Asheville Tourists	—	549	513	93	18	2	8	16	169	8	6	11	181	218	271	489	90	237	31	3	211	29	—	—	—	—	—	—
2021	24	AA MLE	Hartford Yard Goats	—	474	442	92	30	3	10	22	143	6	3	4	208	255	357	613	149	276	30	5	264	65	—	—	—	—	—	—
2022	25	AAA MLE	Albuquerque Isotopes	—	479	433	89	20	3	13	37	158	7	13	1	206	279	356	634	150	287	33	8	279	75	—	—	—	—	—	—
2022	25	AA MLE	Hartford Yard Goats	—	60	52	11	1	0	0	7	16	1	2	0	212	317	231	547	19	306	27	12	259	61	—	—	—	—	—	—
2023	26	MLB MLE	Colorado Rockies	—	41	38	7	2	0	1	2	12	1	0	0	184	244	316	560	132	240	29	5	244	51	-2	+0	-2	+2	+1	-0.1
2023	26	AAA MLE	Albuquerque Isotopes	—	507	453	111	20	4	14	42	165	6	11	6	245	317	400	717	155	341	33	8	314	99	—	—	—	—	—	—
2024	27	AAA MLE	Albuquerque Isotopes	—	297	266	77	14	5	6	25	66	1	5	2	289	353	447	800	158	345	22	8	342	118	—	—	—	—	—	—
2025	28	AAA MLE	Durham Bulls	—	415	386	72	16	0	4	21	139	5	7	2	187	238	259	497	73	272	33	5	222	36	—	—	—	—	—	—
2018	21	ROK MLE	Grand Junction Rockies	—	310	281	65	12	2	6	21	100	4	7	6	231	294	352	646	121	330	32	7	277	74	—	—	—	—	—	—
2018	21	ROK RAW	Grand Junction Rockies	—	310	267	89	18	3	8	35	69	4	7	6	333	418	513	931	180	418	22	11	407	74	—	—	—	—	—	—
2019	22	A MLE	Asheville Tourists	—	549	513	93	18	2	8	16	169	8	6	11	181	218	271	489	90	247	31	3	211	29	—	—	—	—	—	—
2019	22	A RAW	Asheville Tourists	—	549	500	129	29	3	13	29	122	8	6	11	258	309	406	715	148	311	22	5	312	29	—	—	—	—	—	—
2021	24	AA MLE	Hartford Yard Goats	—	474	442	92	30	3	10	22	143	6	3	4	208	255	357	613	149	280	30	5	264	65	—	—	—	—	—	—
2021	24	AA RAW	Hartford Yard Goats	—	474	431	111	37	3	13	33	120	6	3	4	258	319	448	767	190	325	25	7	336	65	—	—	—	—	—	—
2022	25	AAA MLE	3 teams	—	677	605	126	26	4	16	56	218	10	17	4	208	286	344	630	136	293	32	8	277	73	—	—	—	—	—	—
2022	25	AAA RAW	3 teams	—	677	592	155	32	5	20	69	168	10	17	4	262	349	434	783	172	330	25	10	347	73	—	—	—	—	—	—
2023	26	AAA MLE	3 teams	—	654	588	142	27	5	18	52	211	8	15	8	241	312	396	708	155	340	32	8	309	95	—	—	—	—	—	—
2023	26	AAA RAW	3 teams	—	654	571	176	33	5	25	69	160	8	15	8	308	390	515	905	207	385	24	11	396	95	—	—	—	—	—	—
2024	27	AAA MLE	Albuquerque Isotopes	—	297	266	77	14	5	6	25	66	1	5	2	289	353	447	800	158	357	22	8	342	118	—	—	—	—	—	—
2024	27	AAA RAW	Albuquerque Isotopes	—	297	254	85	16	6	9	37	54	1	5	2	335	421	551	972	217	388	18	12	419	118	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	449	417	77	17	0	4	23	151	5	8	2	185	236	254	490	70	275	34	5	222	36	—	—	—	—	—	—
2025	28	AAA RAW	2 teams	—	449	408	87	20	0	8	32	132	5	8	2	213	279	321	600	108	292	29	7	271	36	—	—	—	—	—	—
2018	21	ROK MLE	Grand Junction Rockies	—	310	282	65	12	2	6	21	100	4	7	6	230	294	351	645	121	317	32	7	277	74	—	—	—	—	—	—
2019	22	A MLE	Asheville Tourists	—	549	520	93	18	2	8	16	169	8	6	11	179	218	267	485	88	237	31	3	211	29	—	—	—	—	—	—
2021	24	AA MLE	Hartford Yard Goats	—	474	443	92	30	3	10	22	143	6	3	4	208	255	357	612	149	276	30	5	264	65	—	—	—	—	—	—
2022	25	AAA MLE	3 teams	—	677	606	126	26	4	16	56	218	10	17	4	208	286	343	629	135	289	32	8	277	73	—	—	—	—	—	—
2023	26	AAA MLE	3 teams	—	654	589	142	27	5	18	52	211	8	15	8	241	312	396	707	154	333	32	8	309	95	—	—	—	—	—	—
2024	27	AAA MLE	Albuquerque Isotopes	—	297	269	77	14	5	6	25	66	1	5	2	286	353	442	795	156	345	22	8	342	118	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	449	418	77	17	0	4	23	151	5	8	2	184	236	254	490	69	272	34	5	222	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	AAA MLE	Albuquerque Isotopes	—	297	269	77	14	5	6	25	66	1	5	2	286	353	442	795	156	345	22	8	342	118	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	449	418	77	17	0	4	23	151	5	8	2	184	236	254	490	69	272	34	5	222	36	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	TB	10%	380	351	82	17	2	6	23	109	3	6	2	233	287	343	630	110	318	29	6	283	77	-10	+0	-1	+1	+8	0.0
▸ 2027 — real world (MLB)
2027	30	MLB CTX	TB	10%	16	15	3	1	0	0	1	5	0	0	0	235	289	343	632	108	321	31	6	284	77	-0	+0	-0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	TB	27%	254	235	54	11	1	4	15	73	2	2	1	230	284	336	621	107	313	29	6	279	75	-8	+0	-3	+1	+6	-0.5
2028	31	MLB CTX	TB	27%	69	64	14	3	0	1	4	20	1	1	0	232	286	337	623	105	317	29	6	280	75	-2	+0	-1	+0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	110	102	21	5	0	2	6	32	2	1	0	206	264	314	577	108	279	29	5	270	69	-4	+0	-3	+3	+2	-0.2
/ 162G	—	A+C		—	650	603	125	30	0	12	35	189	12	6	0	207	265	317	581	109	281	29	5	270	69	-24	+1	-19	+15	+14	-1.3
Career	—	MLE		—	3819	3491	759	162	23	74	239	1175	45	65	39	217	276	341	617	123	301	31	6	270	69	-14	+0	-6	+4	+10	-0.7
/ 162G	—	MLE		—	650	594	130	28	4	13	41	200	8	11	7	219	278	345	624	126	302	31	6	270	69	-20	+0	-9	+5	+14	-0.9

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 AAADurham Bulls · 415 PAwOBA .276 → .222 (−55)K% 29.6% → 33.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.64%	÷1.057	×1.200	—	—	33.64%
BB% (unintentional) /PA	7.71%	÷1.030	×0.690	—	×0.982	5.07%
HBP% /PA	1.20%	—	×0.940	—	×0.982	1.11%
Singles /BIP	21.83%	÷0.956	×0.930	×0.990	×0.982	20.65%
Doubles /BIP	7.54%	÷0.940	×0.830	×0.990	×0.982	6.47%
Triples /BIP	0.00%	÷0.900	×0.970	×0.990	×0.982	0.00%
Home runs /BIP	3.17%	÷1.380	×0.700	—	×0.982	1.58%

Factors used: league row International League. Park (home-season share, regressed): HR 176, 1B 91, 2B 88, 3B 80, K 111, BB 106 — 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 ×0.990.

Result: wOBA .276 → .222; ISO .115 → .075; BABIP .300 → .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).

2024 AAAAlbuquerque Isotopes · 297 PAwOBA .415 → .342 (−72)K% 18.2% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.979	×1.200	—	—	22.29%
BB% (unintentional) /PA	12.46%	÷1.018	×0.690	—	×0.992	8.38%
HBP% /PA	0.34%	—	×0.940	—	×0.992	0.31%
Singles /BIP	27.00%	÷0.990	×0.930	×0.999	×0.992	25.15%
Doubles /BIP	8.00%	÷0.988	×0.830	×0.999	×0.992	6.66%
Triples /BIP	3.00%	÷1.150	×0.970	×0.999	×0.992	2.51%
Home runs /BIP	4.50%	÷1.096	×0.700	—	×0.992	2.85%

Factors used: league row International League. Park (home-season share, regressed): HR 119, 1B 98, 2B 98, 3B 130, K 96, BB 104 — 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 ×0.999.

Result: wOBA .415 → .342; ISO .217 → .163; BABIP .388 → .345. 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 AAAAlbuquerque Isotopes · 507 PAwOBA .407 → .314 (−94)K% 25.6% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.64%	÷0.947	×1.200	—	—	32.49%
BB% (unintentional) /PA	11.64%	÷0.984	×0.690	—	×1.003	8.18%
HBP% /PA	1.18%	—	×0.940	—	×1.003	1.12%
Singles /BIP	27.78%	÷1.018	×0.930	×0.979	×1.003	24.90%
Doubles /BIP	8.50%	÷1.002	×0.830	×0.979	×1.003	6.91%
Triples /BIP	1.63%	÷1.150	×0.970	×0.979	×1.003	1.35%
Home runs /BIP	7.19%	÷1.062	×0.700	—	×1.003	4.75%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 104, 2B 100, 3B 130, K 89, BB 97 — 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 ×0.979.

Result: wOBA .407 → .314; ISO .234 → .162; BABIP .400 → .341. 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 AAAAlbuquerque Isotopes · 479 PAwOBA .369 → .279 (−90)K% 27.3% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.35%	÷0.995	×1.200	—	—	32.97%
BB% (unintentional) /PA	10.44%	÷0.945	×0.690	—	×1.018	7.76%
HBP% /PA	1.46%	—	×0.940	—	×1.018	1.40%
Singles /BIP	22.15%	÷1.047	×0.930	×0.957	×1.018	19.16%
Doubles /BIP	9.34%	÷1.038	×0.830	×0.957	×1.018	7.27%
Triples /BIP	1.38%	÷1.150	×0.970	×0.957	×1.018	1.14%
Home runs /BIP	6.92%	÷1.061	×0.700	—	×1.018	4.65%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 109, 2B 108, 3B 130, K 99, BB 89 — 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 ×0.957.

Result: wOBA .369 → .279; ISO .226 → .155; BABIP .351 → .287. 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 AAHartford Yard Goats · 60 PAwOBA .309 → .259 (−51)K% 21.7% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.67%	÷1.006	×1.220	—	—	26.29%
BB% (unintentional) /PA	16.67%	÷1.002	×0.700	—	×0.988	11.51%
HBP% /PA	1.67%	—	×0.850	—	×0.988	1.40%
Singles /BIP	30.56%	÷1.032	×0.970	—	×0.988	28.36%
Doubles /BIP	2.78%	÷1.035	×0.860	—	×0.988	2.28%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.988	0.00%
Home runs /BIP	0.00%	÷0.992	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 106, 2B 107, 3B 130, K 101, BB 100 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .309 → .259; ISO .020 → .017; BABIP .333 → .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).

2021 AAHartford Yard Goats · 474 PAwOBA .330 → .264 (−66)K% 25.3% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.32%	÷1.022	×1.220	—	—	30.23%
BB% (unintentional) /PA	6.96%	÷1.020	×0.690	—	×0.998	4.70%
HBP% /PA	1.27%	—	×0.850	—	×0.998	1.07%
Singles /BIP	18.65%	÷1.047	×0.940	×0.969	×0.998	16.20%
Doubles /BIP	11.90%	÷1.010	×0.870	×0.969	×0.998	9.92%
Triples /BIP	0.96%	÷0.956	×0.920	×0.969	×0.998	0.90%
Home runs /BIP	4.18%	÷0.990	×0.780	—	×0.998	3.29%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 109, 2B 102, 3B 91, K 104, BB 104 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .330 → .264; ISO .190 → .152; BABIP .325 → .276. 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 AAsheville Tourists · 549 PAwOBA .308 → .211 (−97)K% 22.2% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.968	×1.340	—	—	30.75%
BB% (unintentional) /PA	5.28%	÷1.148	×0.660	—	×0.990	3.01%
HBP% /PA	1.46%	—	×0.770	—	×0.990	1.11%
Singles /BIP	22.22%	÷1.063	×0.920	×0.950	×0.990	18.09%
Doubles /BIP	7.67%	÷1.188	×0.820	×0.950	×0.990	4.98%
Triples /BIP	0.79%	÷1.150	×0.940	×0.950	×0.990	0.61%
Home runs /BIP	3.44%	÷1.249	×0.820	—	×0.990	2.24%

Factors used: league row SAL. Park (home-season share, regressed): HR 150, 1B 113, 2B 138, 3B 130, K 94, BB 130 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .308 → .211; ISO .148 → .092; BABIP .311 → .237. 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 ROKGrand Junction Rockies · 310 PAwOBA .402 → .277 (−125)K% 22.3% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.26%	÷1.000	×1.440	—	—	32.05%
BB% (unintentional) /PA	11.29%	÷1.000	×0.610	—	×0.975	6.71%
HBP% /PA	1.29%	—	×0.720	—	×0.975	0.91%
Singles /BIP	30.30%	÷1.000	×0.820	×0.992	×0.975	24.04%
Doubles /BIP	9.09%	÷1.000	×0.720	×0.992	×0.975	6.33%
Triples /BIP	1.52%	÷1.000	×0.720	×0.992	×0.975	1.06%
Home runs /BIP	4.04%	÷1.000	×0.750	—	×0.975	2.95%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .402 → .277; ISO .180 → .121; BABIP .418 → .317. 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 — .

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
Coco Montes (OGILVIE)	30	35	40	50	40	231/285/340	109	318	2	2	29%	6%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cam Gallagher 2023 · MLB	30	44	43→45	47→30	46	217/274/329	112	274	10	4	24%	7%	70	-0.8	195/244/294	99	266	8	7	29%	6%	51	-2.3	124/153/165	41	182	0	0	31%	3%	-14	-1.7
✕Tomás Nido 2024 · MLB	30	46→45	41→45	47→30	40	224/263/313	89	286	9	3	25%	5%	61	-1.5	211/251/313	102	271	12	3	26%	4%	57	-1.8	194/232/285	90	252	11	0	27%	4%	42	-1.0
✕Xorge Carrillo 2019 · AAA	30	44	42→40	45→30	41	219/266/319	100	282	10	5	26%	5%	65	-1.2	239/298/357	118	280	12	7	19%	6%	86	+0.3	251/312/356	105	283	10	2	15%	6%	87	+0.2
✕Ryan Cordell 2021 · MLB	29	43→42	46→50	49→50	42	216/272/344	128	288	14	11	30%	6%	74	-0.6	203/269/353	150	324	19	14	41%	7%	75	-0.5	141/210/279	138	225	21	18	47%	7%	34	-1.3
✕David Matranga 2007 · AAA	30	37	44→45	47→50	42	191/258/306	114	248	13	9	28%	6%	60	-1.6	208/279/330	122	276	13	11	28%	7%	73	-0.6	205/284/322	118	273	13	9	28%	8%	72	-0.3
✕Dan Butler 2017 · MLB	30	46→39	40→45	46→40	45	221/285/316	95	289	6	3	25%	7%	72	-0.7	210/275/308	98	264	9	4	23%	7%	66	-1.1	186/254/268	82	229	8	0	22%	7%	48	-1.1
✕Christian Herrera 2012 · AAA	30	49	40	47→45	41	235/286/327	92	306	7	10	25%	5%	74	-0.6	214/268/305	91	289	7	12	27%	5%	63	-1.4	167/219/210	43	243	0	16	29%	3%	20	-0.9
✕Horacio Vasquez 2016 · AAA	30	44	38→40	48→40	40	212/255/288	76	278	6	9	26%	5%	53	-2.1	225/260/304	79	291	6	10	24%	4%	58	-1.7	238/250/270	31	305	0	6	22%	2%	44	-0.8
✕José Molina 2005 · MLB	30	48	41→45	48→45	41	235/274/335	101	293	8	9	23%	5%	71	-0.8	236/279/355	119	285	12	7	21%	5%	78	-0.3	242/301/374	132	289	16	6	22%	7%	92	+0.3
✕Carlos M. Rodriguez 2011 · AAA	29	49→42	40→50	50→40	45	231/299/322	91	323	8	6	29%	8%	78	-0.3	220/279/375	155	313	20	4	34%	7%	84	+0.1	204/263/371	167	283	23	2	36%	6%	74	-0.3
✕Ronnie Freeman 2021 · AAA	30	46	45→40	48→30	42	228/279/345	117	299	13	6	28%	6%	76	-0.4	216/273/361	145	286	17	9	30%	7%	78	-0.3	149/204/297	148	176	20	0	30%	6%	34	-0.6
✕Jesus Alberto Vega 2013 · AAA	31	42	44→45	47→40	43	210/265/323	113	259	13	8	24%	6%	66	-1.1	215/266/326	111	284	12	7	28%	6%	67	-1.1	207/257/302	95	280	10	3	29%	5%	55	-0.8
✕Kristopher Negrón 2016 · MLB	30	42→49	41→45	52→55	41	206/262/305	99	269	9	13	26%	6%	61	-1.5	215/269/332	117	288	11	17	28%	5%	70	-0.9	217/277/337	120	309	13	14	32%	6%	71	-0.6
✕Sebastian Valle 2019 · AAA	29	44→45	42→45	48→40	38	213/264/316	103	319	10	7	35%	6%	63	-1.3	230/297/365	135	295	14	7	26%	8%	88	+0.4	224/296/358	134	282	15	4	25%	8%	84	+0.1
✕Nevin Ashley 2015 · AAA	30	44→50	42→45	48→45	45	217/281/326	109	273	9	6	24%	7%	72	-0.7	222/286/330	108	292	11	4	26%	7%	76	-0.4	217/283/317	100	287	11	1	27%	6%	69	-0.5
✕J.C. Escarra 2024 · AAA	29	44→45	44→45	52→45	45	216/287/331	115	279	11	11	26%	7%	76	-0.4	224/292/345	121	261	11	6	18%	8%	81	-0.1	220/289/338	117	255	10	3	17%	7%	76	-0.2
✕Luke Maile 2021 · MLB	30	44→50	45→40	51→40	48	218/287/339	122	281	12	8	26%	8%	78	-0.3	229/308/349	120	317	11	6	29%	9%	88	+0.4	227/310/346	119	311	10	4	28%	9%	88	+0.1
✕Danny Mendick 2024 · MLB	30	48→47	43→45	50	48	234/297/344	110	280	11	13	20%	7%	82	+0.0	221/276/358	137	270	15	14	24%	6%	78	-0.3	197/245/343	146	238	18	15	26%	5%	61	-0.9
✕Aramis Garcia 2023 · MLB	30	42	43→50	42→45	36	212/255/315	103	286	11	4	30%	4%	59	-1.6	189/241/320	131	262	17	8	34%	5%	57	-1.8	165/235/287	122	232	17	5	36%	7%	46	-1.1
✕Niko Vasquez 2019 · AAA	30	46→42	48→50	47→45	42	234/288/376	142	297	16	10	27%	6%	86	+0.3	215/277/331	116	301	13	9	31%	6%	72	-0.7	184/248/269	86	259	12	4	32%	6%	46	-1.0