Dom Nuñez

C Columbus Clippers

Age 32 L/R 6'0" / 212 lbs AAA Svc 8.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	29	AAACLE	263	.202/.331/.339	5	1	37	—	.150/.238/.240
2025	30	AAACLE	298	.176/.333/.349	9	1	34	—	.125/.241/.235
2026	31	AAACLE	153	.187/.329/.293	3	4	35	—	.145/.248/.214
2027PROJ10% MLB	32	MLBCLE	13	.191/.283/.321	0	0	72	0.0
2028PROJ27% MLB	33	MLBCLE	27	.184/.274/.303	1	0	65	-0.1

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

ContractESTIMATED

Control thru2027Service8.000First FA2028

2027Ext / FA-deal$0.9M

Skills · percentileStatcast 2021-2025

Barrel%52

xwOBA10

Avg EV10

Speed10

Bat Spd10

CompsMichael Pérez (age 31) · Dustin Garneau (age 33) · Brian O'Keefe (age 31)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†72

AVG/OBP/SLG.191 / .283 / .321

PA13

HR0

K%31

BB%8

BABIP258

ISO117

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 30 / POW 50

Toolsscout grade · Statcast %ile · 2021-2025

CONTACT30

xAVG

100.162

POWER50

Barrel%

528.5

Avg EV

1084.0

Bat Spd

1063.2

EYE60

scouting grade only

SPEED45

Sprint

1024.5

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

Status FA

MLB Debut 2019

Service 8.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$0.9M	+0.0	$0.0M	-$0.9M
Totals		$0.9M		$0.0M	-$0.9M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2013	18	ROK	Grand Junction Rockies	—	217	195	39	13	1	3	18	34	1	11	8	200	271	323	594	123	225	16	8	266	12	—	—	—	—	—	—
2014	19	ROK	Grand Junction Rockies	—	198	176	55	12	0	8	21	28	0	5	7	312	386	517	903	205	333	14	11	396	74	—	—	—	—	—	—
2015	20	A	Asheville Tourists	—	441	373	105	23	0	13	53	55	4	7	7	282	377	448	824	166	298	12	12	360	77	—	—	—	—	—	—
2016	21	A+	Modesto Nuts	—	450	390	94	13	2	10	49	91	0	8	1	241	326	362	687	121	284	20	11	305	63	—	—	—	—	—	—
2017	22	AA	Hartford Yard Goats	—	364	297	60	10	1	11	53	83	8	7	1	202	338	354	692	152	238	23	15	315	59	—	—	—	—	—	—
2017	22	INTL	Salt River Rafters	—	46	44	4	2	0	0	1	12	0	0	0	91	111	136	247	45	121	26	2	110	-39	—	—	—	—	—	—
2018	23	AA	Hartford Yard Goats	—	377	324	72	12	0	9	46	73	2	8	6	222	323	343	665	120	257	19	12	302	54	—	—	—	—	—	—
2019	24	MLB	Colorado Rockies	—	43	39	7	3	0	2	3	17	0	0	0	179	238	410	648	231	238	40	7	277	64	-2	+0	+1	+5	+1	0.6
2019	24	AAA	Albuquerque Isotopes	—	257	213	52	14	1	17	35	69	6	2	0	244	366	559	925	315	269	27	14	396	80	—	—	—	—	—	—
2021	26	MLB	Colorado Rockies	—	263	228	43	12	3	10	34	91	0	0	0	189	294	399	693	211	258	35	13	308	76	-7	+0	+6	+6	+6	1.0
2021	26	INTL	Indios de Mayaguez	—	56	40	10	1	0	1	15	8	1	2	0	250	464	350	814	100	290	14	27	389	150	—	—	—	—	—	—
2022	27	MLB	Colorado Rockies	—	41	33	4	1	0	0	6	10	0	0	0	121	256	152	408	30	160	24	15	200	21	-4	+0	-0	+6	+1	0.3
2022	27	AAA	Albuquerque Isotopes	—	285	247	55	13	3	5	34	70	2	1	1	223	322	360	682	138	287	25	12	308	47	—	—	—	—	—	—
2023	28	AAA	Indianapolis Indians	—	236	193	36	9	0	5	36	64	4	4	0	187	326	311	637	124	250	27	15	296	35	—	—	—	—	—	—
2024	29	AAA	Columbus Clippers	—	263	218	44	11	2	5	42	79	0	1	0	202	331	339	670	138	289	30	16	306	37	—	—	—	—	—	—
2025	30	AAA	Columbus Clippers	—	298	238	42	14	0	9	51	87	5	1	1	176	333	349	682	172	228	29	17	313	34	—	—	—	—	—	—
2026	31	AAA	Columbus Clippers	—	153	123	23	4	0	3	25	49	1	4	0	187	329	293	622	106	267	32	16	288	35	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	347	300	54	16	3	12	43	118	0	0	0	180	283	373	656	193	241	34	12	292	83	-7	+0	+7	+17	+8	2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	Grand Junction Rockies	—	217	202	29	9	1	2	11	49	1	11	8	144	192	228	419	84	171	23	5	186	12	—	—	—	—	—	—
2014	19	ROK MLE	Grand Junction Rockies	—	198	185	41	8	0	6	12	40	0	5	7	222	269	362	631	141	250	20	6	277	74	—	—	—	—	—	—
2015	20	A MLE	Asheville Tourists	—	441	392	91	15	0	10	34	72	4	7	7	232	300	347	647	115	250	16	8	282	77	—	—	—	—	—	—
2016	21	A+ MLE	Modesto Nuts	—	450	406	84	11	1	10	33	127	0	8	1	207	267	313	579	106	262	28	7	261	63	—	—	—	—	—	—
2017	22	AA MLE	Hartford Yard Goats	—	364	313	55	9	1	8	37	96	8	7	1	176	279	288	567	112	215	26	10	255	59	—	—	—	—	—	—
2018	23	AA MLE	Hartford Yard Goats	—	377	341	68	10	0	6	29	86	2	8	6	199	266	282	548	82	240	23	8	248	54	—	—	—	—	—	—
2019	24	MLB MLE	Colorado Rockies	—	43	39	7	3	0	2	3	17	0	0	0	179	238	410	648	231	238	40	7	263	64	-2	+0	+1	+5	+1	0.6
2019	24	AAA MLE	Albuquerque Isotopes	—	257	222	39	10	1	11	26	93	6	2	0	176	280	378	658	203	220	36	10	287	80	—	—	—	—	—	—
2021	26	MLB MLE	Colorado Rockies	—	263	232	40	12	2	9	30	91	0	0	0	172	267	358	625	185	258	35	11	281	76	-7	+0	+6	+6	+6	1.0
2022	27	MLB MLE	Colorado Rockies	—	41	33	4	1	0	0	6	10	0	0	0	121	256	152	408	30	160	24	15	199	21	-4	+0	-0	+6	+1	0.3
2022	27	AAA MLE	Albuquerque Isotopes	—	285	256	44	10	2	3	25	84	2	1	1	172	251	262	513	90	241	29	9	237	47	—	—	—	—	—	—
2023	28	AAA MLE	Indianapolis Indians	—	236	206	30	7	0	3	23	80	4	4	0	146	245	223	468	78	218	34	10	220	35	—	—	—	—	—	—
2024	29	AAA MLE	Columbus Clippers	—	263	233	35	8	2	3	27	101	0	1	0	150	238	240	479	90	247	38	10	223	37	—	—	—	—	—	—
2025	30	AAA MLE	Columbus Clippers	—	298	255	32	10	0	6	34	109	5	1	1	125	241	235	477	110	178	37	11	219	34	—	—	—	—	—	—
2026	31	AAA MLE	Columbus Clippers	—	153	131	19	3	0	2	17	59	1	4	0	145	248	214	462	69	221	39	11	220	35	—	—	—	—	—	—
2013	18	ROK MLE	Grand Junction Rockies	—	217	202	29	9	1	2	11	49	1	11	8	144	192	228	419	84	176	23	5	186	12	—	—	—	—	—	—
2013	18	ROK RAW	Grand Junction Rockies	—	217	195	39	13	1	3	18	34	1	11	8	200	271	323	594	123	225	16	8	266	12	—	—	—	—	—	—
2014	19	ROK MLE	Grand Junction Rockies	—	198	185	41	8	0	6	12	40	0	5	7	222	269	362	631	141	250	20	6	277	74	—	—	—	—	—	—
2014	19	ROK RAW	Grand Junction Rockies	—	198	176	55	12	0	8	21	28	0	5	7	312	386	517	903	205	333	14	11	396	74	—	—	—	—	—	—
2015	20	A MLE	Asheville Tourists	—	441	392	91	15	0	10	34	72	4	7	7	232	300	347	647	115	258	16	8	282	77	—	—	—	—	—	—
2015	20	A RAW	Asheville Tourists	—	441	373	105	23	0	13	53	55	4	7	7	282	377	448	824	166	298	12	12	360	77	—	—	—	—	—	—
2016	21	A+ MLE	Modesto Nuts	—	450	406	84	11	1	10	33	127	0	8	1	207	267	313	579	106	268	28	7	261	63	—	—	—	—	—	—
2016	21	A+ RAW	Modesto Nuts	—	450	390	94	13	2	10	49	91	0	8	1	241	326	362	687	121	284	20	11	305	63	—	—	—	—	—	—
2017	22	AA MLE	2 teams	—	410	354	62	10	1	9	41	109	8	7	1	175	275	285	561	110	221	27	10	255	59	—	—	—	—	—	—
2017	22	AA RAW	2 teams	—	410	341	64	12	1	11	54	95	8	7	1	188	313	326	638	138	222	23	13	292	59	—	—	—	—	—	—
2018	23	AA MLE	Hartford Yard Goats	—	377	341	68	10	0	6	29	86	2	8	6	199	266	282	548	82	246	23	8	248	54	—	—	—	—	—	—
2018	23	AA RAW	Hartford Yard Goats	—	377	324	72	12	0	9	46	73	2	8	6	222	323	343	665	120	257	19	12	302	54	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	300	261	46	13	1	13	29	110	6	2	0	176	274	383	657	207	232	37	10	284	78	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	300	252	59	17	1	19	38	86	6	2	0	234	348	536	884	302	265	29	13	379	78	—	—	—	—	—	—
2021	26	MLB MLE	2 teams	—	319	281	49	14	3	11	36	110	1	2	0	174	270	363	633	189	236	34	11	281	76	-9	+0	+6	+6	+7	1.0
2021	26	MLB RAW	2 teams	—	319	268	53	13	3	11	49	99	1	2	0	198	324	392	716	194	264	31	15	323	76	-9	+0	+6	+6	+7	1.0
2022	27	AAA MLE	2 teams	—	326	289	48	11	2	3	31	94	2	1	1	166	252	249	501	83	230	29	10	232	43	—	—	—	—	—	—
2022	27	AAA RAW	2 teams	—	326	280	59	14	3	5	40	80	2	1	1	211	314	336	649	125	271	25	12	295	43	—	—	—	—	—	—
2023	28	AAA MLE	Indianapolis Indians	—	236	206	30	7	0	3	23	80	4	4	0	146	245	223	468	78	220	34	10	220	35	—	—	—	—	—	—
2023	28	AAA RAW	Indianapolis Indians	—	236	193	36	9	0	5	36	64	4	4	0	187	326	311	637	124	250	27	15	296	35	—	—	—	—	—	—
2024	29	AAA MLE	Columbus Clippers	—	263	233	35	8	2	3	27	101	0	1	0	150	238	240	479	90	246	38	10	223	37	—	—	—	—	—	—
2024	29	AAA RAW	Columbus Clippers	—	263	218	44	11	2	5	42	79	0	1	0	202	331	339	670	138	289	30	16	306	37	—	—	—	—	—	—
2025	30	AAA MLE	Columbus Clippers	—	298	255	32	10	0	6	34	109	5	1	1	125	241	235	477	110	182	37	11	219	34	—	—	—	—	—	—
2025	30	AAA RAW	Columbus Clippers	—	298	238	42	14	0	9	51	87	5	1	1	176	333	349	682	172	228	29	17	313	34	—	—	—	—	—	—
2026	31	AAA MLE	Columbus Clippers	—	153	131	19	3	0	2	17	59	1	4	0	145	248	214	462	69	230	39	11	220	35	—	—	—	—	—	—
2026	31	AAA RAW	Columbus Clippers	—	153	123	23	4	0	3	25	49	1	4	0	187	329	293	622	106	267	32	16	288	35	—	—	—	—	—	—
2013	18	ROK MLE	Grand Junction Rockies	—	217	203	29	9	1	2	11	49	1	11	8	143	192	227	418	84	171	23	5	186	12	—	—	—	—	—	—
2014	19	ROK MLE	Grand Junction Rockies	—	198	184	41	8	0	6	12	40	0	5	7	223	269	364	633	141	250	20	6	277	74	—	—	—	—	—	—
2015	20	A MLE	Asheville Tourists	—	441	400	91	15	0	10	34	72	4	7	7	228	300	340	640	113	250	16	8	282	77	—	—	—	—	—	—
2016	21	A+ MLE	Modesto Nuts	—	450	414	84	11	1	10	33	127	0	8	1	203	267	307	573	104	262	28	7	261	63	—	—	—	—	—	—
2017	22	AA MLE	2 teams	—	410	358	62	10	1	9	41	109	8	7	1	173	275	282	558	109	215	27	10	255	59	—	—	—	—	—	—
2018	23	AA MLE	Hartford Yard Goats	—	377	343	68	10	0	6	29	86	2	8	6	198	266	280	546	82	240	23	8	248	54	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	300	262	46	13	1	13	29	110	6	2	0	176	274	382	655	206	223	37	10	284	78	—	—	—	—	—	—
2021	26	MLB MLE	2 teams	—	319	279	49	14	3	11	36	110	1	2	0	176	270	366	636	190	258	34	11	281	76	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	326	290	48	11	2	3	31	94	2	1	1	166	252	248	500	83	231	29	10	232	43	—	—	—	—	—	—
2023	28	AAA MLE	Indianapolis Indians	—	236	207	30	7	0	3	23	80	4	4	0	145	245	222	467	77	218	34	10	220	35	—	—	—	—	—	—
2024	29	AAA MLE	Columbus Clippers	—	263	234	35	8	2	3	27	101	0	1	0	150	238	239	478	90	247	38	10	223	37	—	—	—	—	—	—
2025	30	AAA MLE	Columbus Clippers	—	298	257	32	10	0	6	34	109	5	1	1	125	241	233	475	109	178	37	11	219	34	—	—	—	—	—	—
2026	31	AAA MLE	Columbus Clippers	—	153	134	19	3	0	2	17	59	1	4	0	142	248	209	457	67	221	39	11	220	35	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	AAA MLE	Columbus Clippers	—	263	234	35	8	2	3	27	101	0	1	0	150	238	239	478	90	247	38	10	223	37	—	—	—	—	—	—
2025	30	AAA MLE	Columbus Clippers	—	298	257	32	10	0	6	34	109	5	1	1	125	241	233	475	109	178	37	11	219	34	—	—	—	—	—	—
2026	31	AAA MLE	Columbus Clippers	—	153	134	19	3	0	2	17	59	1	4	0	142	248	209	457	67	221	39	11	220	35	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	CLE	10%	203	178	34	7	1	5	21	62	2	2	0	191	282	321	603	130	258	31	10	275	72	-7	+0	-0	+4	+4	0.1
▸ 2027 — real world (MLB)
2027	32	MLB CTX	CLE	10%	13	12	1	0	0	0	1	4	0	0	0	191	283	321	603	129	258	31	8	275	72	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	CLE	27%	97	86	15	3	0	2	10	30	1	0	0	183	274	303	577	119	251	31	10	264	65	-4	+0	-4	+2	+2	-0.5
2028	33	MLB CTX	CLE	27%	27	24	5	1	0	1	3	8	0	0	0	184	274	303	577	119	251	30	11	264	65	-1	+0	-1	+0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	374	324	59	17	3	13	46	126	0	0	0	182	284	373	657	191	243	34	12	290	56	-8	+0	+6	+17	+8	2.4
/ 162G	—	A+C		—	650	563	103	30	5	23	80	219	0	0	0	183	285	377	661	194	244	34	12	290	56	-14	+0	+10	+30	+14	4.2
Career	—	MLE		—	4211	3733	669	136	11	89	380	1215	36	63	32	179	262	293	555	114	235	29	9	251	56	-15	+0	+3	+21	+12	2.2
/ 162G	—	MLE		—	650	576	104	21	2	14	59	188	6	10	5	181	264	297	561	116	237	29	9	251	56	-17	+0	+3	+24	+14	2.5

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.

2026 AAAColumbus Clippers · 153 PAwOBA .289 → .220 (−69)K% 32.0% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.03%	÷1.000	×1.200	—	—	38.43%
BB% (unintentional) /PA	16.34%	÷1.000	×0.690	—	×0.962	10.85%
HBP% /PA	0.65%	—	×0.940	—	×0.962	0.59%
Singles /BIP	21.62%	÷1.000	×0.930	×0.955	×0.962	18.48%
Doubles /BIP	5.41%	÷1.000	×0.830	×0.955	×0.962	4.12%
Triples /BIP	0.00%	÷1.000	×0.970	×0.955	×0.962	0.00%
Home runs /BIP	4.05%	÷1.000	×0.700	—	×0.962	2.73%

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 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .289 → .220; ISO .106 → .077; BABIP .267 → .221. 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 AAAColumbus Clippers · 298 PAwOBA .308 → .219 (−89)K% 29.2% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.19%	÷0.956	×1.200	—	—	36.65%
BB% (unintentional) /PA	17.11%	÷1.014	×0.690	—	×0.972	11.33%
HBP% /PA	1.68%	—	×0.940	—	×0.972	1.53%
Singles /BIP	12.58%	÷0.997	×0.930	×0.950	×0.972	10.84%
Doubles /BIP	9.27%	÷1.064	×0.830	×0.950	×0.972	6.68%
Triples /BIP	0.00%	÷1.042	×0.970	×0.950	×0.972	0.00%
Home runs /BIP	5.96%	÷1.093	×0.700	—	×0.972	3.71%

Factors used: league row International League. Park (home-season share, regressed): HR 118, 1B 99, 2B 113, 3B 108, K 91, BB 103 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .308 → .219; ISO .172 → .113; BABIP .228 → .178. 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 AAAColumbus Clippers · 263 PAwOBA .300 → .223 (−78)K% 30.0% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.04%	÷0.939	×1.200	—	—	38.40%
BB% (unintentional) /PA	15.97%	÷1.036	×0.690	—	×0.982	10.44%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	18.71%	÷0.977	×0.930	×0.950	×0.982	16.61%
Doubles /BIP	7.91%	÷0.985	×0.830	×0.950	×0.982	6.22%
Triples /BIP	1.44%	÷0.900	×0.970	×0.950	×0.982	1.45%
Home runs /BIP	3.60%	÷1.060	×0.700	—	×0.982	2.33%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 95, 2B 97, 3B 80, K 88, BB 107 — 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 ×0.950.

Result: wOBA .300 → .223; ISO .138 → .099; BABIP .289 → .247. 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 AAAIndianapolis Indians · 236 PAwOBA .289 → .220 (−69)K% 27.1% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.12%	÷0.967	×1.200	—	—	33.67%
BB% (unintentional) /PA	15.25%	÷1.056	×0.690	—	×0.992	9.89%
HBP% /PA	1.69%	—	×0.940	—	×0.992	1.58%
Singles /BIP	17.05%	÷1.004	×0.930	×0.995	×0.992	15.59%
Doubles /BIP	6.98%	÷1.013	×0.830	×0.995	×0.992	5.64%
Triples /BIP	0.00%	÷1.150	×0.970	×0.995	×0.992	0.00%
Home runs /BIP	3.88%	÷1.095	×0.700	—	×0.992	2.46%

Factors used: league row International League. Park (home-season share, regressed): HR 119, 1B 101, 2B 103, 3B 130, K 93, BB 111 — 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 ×0.995.

Result: wOBA .289 → .220; ISO .124 → .087; BABIP .250 → .218. 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 · 285 PAwOBA .303 → .237 (−66)K% 24.6% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.56%	÷0.995	×1.200	—	—	29.61%
BB% (unintentional) /PA	11.93%	÷0.945	×0.690	—	×1.003	8.74%
HBP% /PA	0.70%	—	×0.940	—	×1.003	0.66%
Singles /BIP	19.21%	÷1.047	×0.930	×0.978	×1.003	16.74%
Doubles /BIP	7.34%	÷1.038	×0.830	×0.978	×1.003	5.76%
Triples /BIP	1.69%	÷1.150	×0.970	×0.978	×1.003	1.40%
Home runs /BIP	2.82%	÷1.061	×0.700	—	×1.003	1.87%

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 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 ×0.978.

Result: wOBA .303 → .237; ISO .138 → .100; BABIP .287 → .241. 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 AAAAlbuquerque Isotopes · 257 PAwOBA .389 → .287 (−102)K% 26.8% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.85%	÷0.957	×1.290	—	—	36.21%
BB% (unintentional) /PA	13.23%	÷0.974	×0.710	—	×1.048	10.11%
HBP% /PA	2.33%	—	×0.980	—	×1.048	2.40%
Singles /BIP	13.89%	÷0.974	×0.900	×0.950	×1.048	12.78%
Doubles /BIP	9.72%	÷1.071	×0.810	×0.950	×1.048	7.32%
Triples /BIP	0.69%	÷1.150	×0.810	×0.950	×1.048	0.49%
Home runs /BIP	11.81%	÷1.136	×0.780	—	×1.048	8.49%

Factors used: league row PCL. Park (home-season share, regressed): HR 127, 1B 95, 2B 114, 3B 130, K 91, BB 95 — 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 ×0.950.

Result: wOBA .389 → .287; ISO .315 → .209; BABIP .269 → .220. 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 AAHartford Yard Goats · 377 PAwOBA .294 → .248 (−46)K% 19.4% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.36%	÷1.035	×1.220	—	—	22.83%
BB% (unintentional) /PA	11.41%	÷1.051	×0.700	—	×1.027	7.80%
HBP% /PA	0.53%	—	×0.850	—	×1.027	0.46%
Singles /BIP	20.32%	÷1.011	×0.970	×0.992	×1.027	19.87%
Doubles /BIP	4.78%	÷1.081	×0.860	×0.992	×1.027	3.87%
Triples /BIP	0.00%	÷0.948	×0.950	×0.992	×1.027	0.00%
Home runs /BIP	3.59%	÷1.194	×0.780	—	×1.027	2.41%

Factors used: league row EL. Park (home-season share, regressed): HR 139, 1B 102, 2B 116, 3B 90, K 107, BB 110 — 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 ×0.992.

Result: wOBA .294 → .248; ISO .120 → .089; BABIP .257 → .240. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 AAHartford Yard Goats · 364 PAwOBA .308 → .255 (−52)K% 22.8% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.80%	÷1.051	×1.220	—	—	26.46%
BB% (unintentional) /PA	14.01%	÷1.017	×0.700	—	×1.042	10.05%
HBP% /PA	2.20%	—	×0.850	—	×1.042	1.95%
Singles /BIP	17.76%	÷1.026	×0.970	×0.950	×1.042	16.62%
Doubles /BIP	4.67%	÷1.014	×0.860	×0.950	×1.042	3.92%
Triples /BIP	0.47%	÷0.900	×0.950	×0.950	×1.042	0.49%
Home runs /BIP	5.14%	÷1.183	×0.780	—	×1.042	3.53%

Factors used: league row EL. Park (home-season share, regressed): HR 137, 1B 105, 2B 103, 3B 80, K 110, BB 103 — 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 ×0.950.

Result: wOBA .308 → .255; ISO .152 → .117; BABIP .238 → .215. 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
#1Kelly Shoppachlast yr '13 career totals — 8 seasons, 1,839 PA	2.8	1,839	70	1	225	314	417	+33	+14	11.3	11.5
/162	664	25	0	+11.9	+5.0	4.1	pk7: 12
#2Elrod Hendricks'68-'79 * career totals — 9 seasons, 2,155 PA	3.2	2,155	62	1	224*	308*	401*	+37	-0	8.7	8.7
/162	664	19	0	+11.4	-0.1	2.7	pk7: 9
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#4Tim Laudner'81-'89 * career totals — 8 seasons, 2,268 PA	3.4	2,268	77	3	222*	292*	409*	+34	-1	6.0	6.1
/162	664	23	1	+9.8	-0.3	1.8	pk7: 6
#5J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.5	302	11	0	190	290	391	+5	+2	1.0	1.0
/162	664	24	1	+11.9	+3.9	2.3	pk7: 1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Dom Nuñez (OGILVIE)	32	30	50	45	60	189/280/318	129	258	3	2	31%	10%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Michael Pérez 2024 · MLB	31	33	47→50	45→40	46	180/252/303	123	227	16	4	29%	8%	57	-1.8	205/274/328	123	274	14	5	29%	7%	71	-0.8	182/256/298	116	243	13	0	29%	7%	55	-0.8
✕Dustin Garneau 2021 · MLB	33	40→38	49→50	45	46	208/290/361	153	270	17	5	29%	8%	85	+0.2	192/269/357	165	248	20	6	31%	7%	76	-0.4	145/226/306	160	173	21	1	31%	7%	48	-0.8
✕Brian O'Keefe 2024 · MLB	31	39→42	50	41→40	43	205/263/360	156	263	18	4	29%	7%	74	-0.5	196/254/337	141	249	17	5	28%	7%	65	-1.2	174/231/302	128	216	17	3	28%	7%	46	-0.9
✕Joe Hudson 2023 · MLB	32	35	48→45	48→40	43	190/256/322	132	260	17	6	33%	8%	63	-1.4	191/279/316	125	294	15	9	37%	9%	71	-0.8	170/278/279	109	259	14	10	37%	11%	60	-0.5
✕Chris Owings 2024 · MLB	32	36→46	45→50	45→55	42	187/254/308	121	268	13	9	34%	8%	59	-1.7	212/286/336	124	301	14	13	32%	8%	77	-0.3	207/292/315	108	291	13	18	31%	9%	72	-0.4
✕Chad Wallach 2024 · MLB	32	38→48	48→50	46→40	43	200/265/336	136	268	17	5	31%	7%	70	-0.9	201/264/329	128	278	15	5	32%	7%	67	-1.1	183/248/298	114	255	14	2	32%	6%	52	-0.9
✕Matt Pagnozzi 2015 · MLB	32	35	45→40	47→40	39	188/244/299	111	241	14	4	29%	5%	53	-2.1	208/264/317	109	264	12	6	25%	6%	64	-1.3	195/249/267	72	243	7	0	22%	6%	47	-1.0
✕Johnny Monell 2018 · MLB	32	46→43	46→50	48→45	45	230/280/356	126	272	15	7	22%	6%	79	-0.2	223/277/344	121	309	10	7	29%	7%	74	-0.5	213/263/322	109	308	6	0	31%	6%	62	-0.5
✕Cody Ransom 2008 · MLB	32	37→39	51→55	49→50	42	199/261/355	156	255	20	13	30%	7%	72	-0.7	209/271/376	167	263	20	10	28%	7%	80	-0.1	206/286/402	196	277	25	6	34%	9%	92	+0.4
✕David Matranga 2009 · AAA	32	41	46→45	49→50	42	209/273/332	123	275	14	10	29%	6%	72	-0.7	219/299/343	124	297	12	9	28%	9%	84	+0.1	200/298/309	110	273	11	5	28%	10%	76	-0.2
✕Beau Taylor 2022 · MLB	32	42→48	42→45	47→30	45	205/284/309	104	291	10	4	31%	9%	70	-0.8	211/293/321	110	297	11	6	30%	9%	76	-0.4	175/280/266	91	247	11	0	31%	11%	57	-0.6
✕Anthony Bemboom 2023 · MLB	33	39	44→40	48→45	46	198/268/313	115	251	12	5	26%	8%	65	-1.2	207/274/311	104	273	9	5	26%	8%	67	-1.1	195/267/283	89	260	6	1	26%	8%	56	-0.6
✕Mike Rose 2009 · AAA	32	41	46→45	41→40	43	211/268/338	128	277	14	6	29%	7%	70	-0.8	215/268/327	112	304	12	10	31%	7%	68	-1.0	166/210/224	59	244	8	4	35%	5%	22	-0.8
✕Jesus Alberto Vega 2014 · AAA	32	43	47→45	48→40	42	220/274/352	132	275	16	8	26%	6%	76	-0.4	212/260/304	92	295	9	5	30%	5%	59	-1.7	191/237/262	72	277	6	1	32%	5%	38	-1.0
✕Anthony Recker 2016 · MLB	32	37→47	52→50	45	42	200/266/362	162	268	21	5	33%	8%	76	-0.4	205/275/343	138	277	15	5	30%	8%	75	-0.5	193/262/327	134	259	15	2	30%	7%	64	-0.6
✕Guillermo Quiroz 2014 · MLB	32	43	46→45	47→50	43	217/275/348	131	274	14	4	26%	6%	76	-0.4	211/252/309	98	275	9	4	26%	4%	57	-1.8	199/229/296	97	264	10	0	29%	3%	42	-1.3
✕Jett Bandy 2021 · MLB	31	39	49→50	44→45	38	208/269/350	142	268	18	6	30%	5%	74	-0.5	213/278/331	118	299	13	8	31%	6%	73	-0.6	163/234/229	66	238	8	0	33%	5%	34	-0.7
✕Chad Moeller 2008 · MLB	33	40	45→50	41→30	42	204/259/322	118	253	14	4	25%	6%	63	-1.3	210/262/314	104	261	9	4	22%	5%	63	-1.4	200/250/291	90	248	5	0	21%	5%	52	-0.6
✕Jason Smith 2009 · MLB	32	38→33	50→55	46→50	33	204/238/357	153	285	18	5	35%	4%	63	-1.3	184/222/296	112	269	13	12	36%	4%	43	-2.8	132/162/196	65	196	8	18	37%	3%	-4	-3.3
✕Koyie Hill 2010 · MLB	31	46→42	44→45	45→40	44	226/281/348	122	289	11	4	25%	7%	78	-0.3	206/253/300	94	274	8	5	27%	6%	55	-1.9	181/220/251	69	241	6	3	27%	5%	31	-1.3

Dom Nuñez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps