Carlos Pérez

C Toledo Mud Hens

Age 36 R/R 5'11" / 210 lbs AAA HR -8% Svc 12.000 · 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	33	AAAOAK	468	.260/.348/.544	27	0	74	—	.193/.261/.380
2025	34	AAA/INTL2 orgs	607	.283/.376/.558	35	1	99	—	.217/.285/.393
2026	35	AAA/INTL2 orgs	320	.248/.335/.493	16	1	69	—	.180/.241/.337
2027PROJ10% MLB	36	MLBDET	21	.225/.290/.392	1	0	94	0.1
2028PROJMLE	37	MLBDET	1	.213/.276/.364	0	0	83	-0.0

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

ContractESTIMATED

Control thru2027Service12.000First FA2028

2027Ext / FA-deal$4M

Skills · percentileStatcast 2017-2023

Bat Spd40

Avg EV33

Barrel%22

xwOBA19

Speed10

CompsJohn Flaherty (age 37) · Miguel Olivo (age 36) · A.J. Ellis (age 37)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†94

AVG/OBP/SLG.225 / .290 / .392

PA21

HR1

K%19

BB%10

BABIP256

ISO211

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Contract

ToolsStatcast %ile · 2017-2023

CONTACT

xAVG

140.222

POWER

Barrel%

224.6

Avg EV

3387.8

Bat Spd

4070.3

SPEED

Sprint

1024.6

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

Status FA

MLB Debut 2015

Service 12.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$4M	+0.1	$0.3M	-$4M
Totals		$4M		$0.3M	-$4M

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)
2008	17	ROK	DSL Blue Jays 1	—	257	196	60	10	2	0	52	28	6	7	5	306	465	378	842	71	351	11	20	390	76	—	—	—	—	—	—
2009	18	ROK	GCL Blue Jays	—	163	141	41	11	3	1	16	23	2	2	5	291	371	433	804	142	333	14	10	351	62	—	—	—	—	—	—
2011	20	A	Lansing Lugnuts	—	429	383	98	17	6	3	37	74	2	6	2	256	325	355	680	99	304	17	9	304	56	—	—	—	—	—	—
2012	21	A+	Lancaster JetHawks	—	97	88	28	6	1	0	6	17	1	0	1	318	368	409	778	91	394	18	6	343	70	—	—	—	—	—	—
2012	21	A	Lansing Lugnuts	—	319	273	75	22	5	5	35	38	3	3	2	275	363	447	810	172	298	12	11	352	81	—	—	—	—	—	—
2013	22	AAA	Oklahoma City RedHawks	—	296	264	71	14	0	2	25	39	0	1	1	269	332	345	677	76	304	13	8	302	65	—	—	—	—	—	—
2013	22	AA	Corpus Christi Hooks	—	60	53	15	4	0	1	4	11	2	0	0	283	356	415	771	132	341	18	7	342	74	—	—	—	—	—	—
2013	22	INTL	Leones del Caracas	—	64	59	16	6	0	0	2	7	0	0	1	271	295	373	668	102	296	11	3	284	78	—	—	—	—	—	—
2014	23	AAA	Oklahoma City RedHawks	—	340	301	78	16	2	6	29	54	1	3	0	259	326	385	712	126	295	16	9	312	68	—	—	—	—	—	—
2014	23	INTL	Leones del Caracas	—	159	146	48	11	1	4	10	19	0	0	0	329	372	500	872	171	349	12	6	377	142	—	—	—	—	—	—
2015	24	MLB	Los Angeles Angels	—	283	260	65	13	0	4	19	49	0	2	0	250	301	346	647	96	292	17	7	289	83	-6	+0	+3	+6	+6	1.0
2015	24	AAA	Salt Lake Bees	—	79	72	26	8	0	2	7	7	0	1	0	361	418	556	973	194	381	9	9	428	123	—	—	—	—	—	—
2016	25	MLB	Los Angeles Angels	—	291	268	56	16	0	5	12	49	1	1	0	209	246	325	570	116	236	17	4	246	54	-16	+0	+5	+6	+6	0.1
2016	25	AAA	Salt Lake Bees	—	40	39	14	4	0	3	1	7	0	0	2	359	375	692	1.067	333	379	18	2	460	118	—	—	—	—	—	—
2017	26	MLB	Los Angeles Angels	—	21	20	2	0	0	1	1	6	0	0	0	100	143	250	393	150	77	29	5	175	4	-2	+0	+1	+7	+0	0.6
2017	26	AAA	Salt Lake Bees	—	300	261	92	18	3	5	32	38	3	4	1	352	429	502	931	149	392	13	11	409	111	—	—	—	—	—	—
2017	26	INTL	Leones del Caracas	—	76	70	22	5	1	1	5	4	0	0	0	314	360	457	817	143	318	5	7	358	128	—	—	—	—	—	—
2018	27	MLB	Texas Rangers	—	75	70	10	2	0	1	2	21	1	1	0	143	178	214	392	71	188	28	3	175	1	-9	+0	-1	+3	+2	-0.5
2018	27	AAA	Round Rock Express	—	87	79	25	2	0	4	7	12	0	0	0	316	372	494	866	177	328	14	8	379	103	—	—	—	—	—	—
2018	27	AA	Frisco RoughRiders	—	18	16	4	2	0	2	2	5	0	0	0	250	333	750	1.083	500	222	28	11	451	88	—	—	—	—	—	—
2019	28	AAA	Norfolk Tides	—	25	24	3	1	0	0	1	4	0	0	0	125	160	167	327	42	150	16	4	152	-35	—	—	—	—	—	—
2019	28	AA	Bowie Baysox	—	385	350	88	22	0	14	20	52	8	0	0	251	307	434	741	183	255	14	5	323	57	—	—	—	—	—	—
2020	29	INTL	Navegantes del Magallanes	—	118	112	36	5	1	5	4	11	2	0	0	321	356	518	874	196	323	9	3	384	146	—	—	—	—	—	—
2021	30	AAA	Las Vegas Aviators	—	418	376	101	19	1	31	34	63	6	0	0	269	339	572	911	303	246	15	8	392	74	—	—	—	—	—	—
2021	30	INTL	Navegantes del Magallanes	—	81	73	11	4	0	2	8	15	0	1	0	151	235	288	522	137	161	19	10	240	48	—	—	—	—	—	—
2022	31	AAA	Albuquerque Isotopes	—	522	456	116	28	1	31	54	100	8	0	0	254	344	524	868	270	258	19	10	376	64	—	—	—	—	—	—
2023	32	MLB	Oakland Athletics	—	189	168	38	4	0	6	13	40	4	0	0	226	297	357	654	131	256	21	7	291	87	-3	+0	-2	+6	+4	0.5
2023	32	AAA	Las Vegas Aviators	—	15	13	5	2	0	0	1	0	1	0	0	385	467	538	1.005	154	385	0	7	448	124	—	—	—	—	—	—
2023	32	INTL	Navegantes del Magallanes	—	113	102	31	5	0	5	8	19	1	0	0	304	360	500	860	196	325	17	7	373	139	—	—	—	—	—	—
2024	33	AAA	Las Vegas Aviators	—	468	408	106	27	4	27	49	80	6	0	0	260	348	544	892	284	258	17	10	383	74	—	—	—	—	—	—
2025	34	AAA	Iowa Cubs	—	465	402	115	32	1	27	51	77	7	1	1	286	376	572	948	286	290	17	11	407	84	—	—	—	—	—	—
2025	34	INTL	Caribes de Anzoategui	—	142	121	33	5	0	8	17	26	3	0	0	273	376	512	888	240	284	18	12	389	149	—	—	—	—	—	—
2026	35	AAA	Toledo Mud Hens	—	283	249	60	14	0	15	31	55	2	1	0	241	330	478	808	237	250	19	11	355	56	—	—	—	—	—	—
2026	35	INTL	Cardenales de Lara	—	37	33	10	5	1	1	4	5	0	0	0	303	378	606	984	303	333	14	11	422	172	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	859	786	171	35	0	17	47	165	6	4	0	218	267	327	594	109	252	19	5	262	64	-37	+1	+6	+28	+19	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	17	ROK MLE	DSL Blue Jays 1	—	257	211	45	7	1	0	37	34	6	7	5	213	346	256	602	43	242	13	14	280	76	—	—	—	—	—	—
2009	18	ROK MLE	GCL Blue Jays	—	163	147	32	8	2	1	10	33	2	2	5	218	277	320	596	102	261	20	6	260	62	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	429	395	88	13	6	3	25	105	2	6	2	223	273	309	581	86	279	24	6	251	56	—	—	—	—	—	—
2012	21	A+ MLE	Lancaster JetHawks	—	97	90	24	4	1	0	4	23	1	0	1	267	305	333	639	67	345	24	4	271	70	—	—	—	—	—	—
2012	21	A MLE	Lansing Lugnuts	—	319	286	65	18	4	4	22	55	3	3	2	227	289	360	650	133	259	17	7	288	81	—	—	—	—	—	—
2013	22	AAA MLE	Oklahoma City RedHawks	—	296	270	67	12	0	2	19	54	0	1	1	248	298	315	612	67	287	18	6	265	65	—	—	—	—	—	—
2013	22	AA MLE	Corpus Christi Hooks	—	60	54	13	3	0	1	3	13	2	0	0	241	305	352	657	111	299	22	5	278	74	—	—	—	—	—	—
2014	23	AAA MLE	Oklahoma City RedHawks	—	340	308	71	15	1	5	22	70	1	3	0	231	284	334	618	104	271	21	6	268	68	—	—	—	—	—	—
2015	24	MLB MLE	Los Angeles Angels	—	283	260	66	14	0	4	19	49	0	2	0	254	305	354	659	100	292	17	7	291	83	-6	+0	+3	+6	+6	1.0
2015	24	AAA MLE	Salt Lake Bees	—	79	74	23	7	0	2	5	9	0	1	0	311	354	486	841	176	335	11	6	350	123	—	—	—	—	—	—
2016	25	MLB MLE	Los Angeles Angels	—	291	268	57	17	0	5	12	49	1	1	0	213	249	332	581	119	236	17	4	249	54	-16	+0	+5	+6	+6	0.1
2016	25	AAA MLE	Salt Lake Bees	—	40	39	11	3	0	2	1	9	0	0	2	282	300	513	813	231	318	22	2	342	118	—	—	—	—	—	—
2017	26	MLB MLE	Los Angeles Angels	—	21	20	2	0	0	1	1	6	0	0	0	100	143	250	393	150	77	29	5	173	4	-2	+0	+1	+7	+0	0.6
2017	26	AAA MLE	Salt Lake Bees	—	300	270	79	14	2	4	23	49	3	4	1	293	355	404	758	111	331	16	8	332	111	—	—	—	—	—	—
2018	27	MLB MLE	Texas Rangers	—	75	70	10	2	0	1	2	21	1	1	0	143	178	214	392	71	188	28	3	170	1	-9	+0	-1	+3	+2	-0.5
2018	27	AAA MLE	Round Rock Express	—	87	81	23	2	0	3	5	15	0	0	0	284	326	420	745	136	298	17	6	320	103	—	—	—	—	—	—
2018	27	AA MLE	Frisco RoughRiders	—	18	17	2	1	0	1	1	7	0	0	0	118	167	353	520	235	171	39	6	299	88	—	—	—	—	—	—
2019	28	AAA MLE	Norfolk Tides	—	25	24	3	1	0	0	1	5	0	0	0	125	160	167	327	42	130	20	4	117	-35	—	—	—	—	—	—
2019	28	AA MLE	Bowie Baysox	—	385	358	73	17	0	11	12	67	8	0	0	204	246	344	590	140	211	17	3	253	57	—	—	—	—	—	—
2021	30	AAA MLE	Las Vegas Aviators	—	418	390	74	14	1	22	20	76	6	0	0	190	240	400	640	210	178	18	5	277	74	—	—	—	—	—	—
2022	31	AAA MLE	Albuquerque Isotopes	—	522	472	86	20	1	20	38	121	8	0	0	182	255	356	611	174	194	23	7	263	64	—	—	—	—	—	—
2023	32	MLB MLE	Oakland Athletics	—	189	168	39	4	0	7	13	40	4	0	0	232	303	381	684	149	256	21	7	297	87	-3	+0	-2	+6	+4	0.5
2023	32	AAA MLE	Las Vegas Aviators	—	15	13	4	1	0	0	1	0	1	0	0	308	400	385	785	77	311	0	7	352	124	—	—	—	—	—	—
2024	33	AAA MLE	Las Vegas Aviators	—	468	424	82	19	3	18	33	94	6	0	0	193	261	380	641	186	198	20	7	277	74	—	—	—	—	—	—
2025	34	AAA MLE	Iowa Cubs	—	465	420	91	24	1	16	33	93	7	1	1	217	285	393	678	176	231	20	7	292	84	—	—	—	—	—	—
2026	35	AAA MLE	Toledo Mud Hens	—	283	261	47	11	0	10	19	66	2	1	0	180	241	337	578	157	195	23	7	251	56	—	—	—	—	—	—
2008	17	ROK MLE	DSL Blue Jays 1	—	257	211	45	7	1	0	37	34	6	7	5	213	346	256	602	43	250	13	14	280	76	—	—	—	—	—	—
2008	17	ROK RAW	DSL Blue Jays 1	—	257	196	60	10	2	0	52	28	6	7	5	306	465	378	842	71	351	11	20	390	76	—	—	—	—	—	—
2009	18	ROK MLE	GCL Blue Jays	—	163	147	32	8	2	1	10	33	2	2	5	218	277	320	596	102	267	20	6	260	62	—	—	—	—	—	—
2009	18	ROK RAW	GCL Blue Jays	—	163	141	41	11	3	1	16	23	2	2	5	291	371	433	804	142	333	14	10	351	62	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	429	395	88	13	6	3	25	105	2	6	2	223	273	309	581	86	290	24	6	251	56	—	—	—	—	—	—
2011	20	A RAW	Lansing Lugnuts	—	429	383	98	17	6	3	37	74	2	6	2	256	325	355	680	99	304	17	9	304	56	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	416	376	90	23	5	4	26	78	4	3	3	239	296	359	655	120	288	19	6	284	78	—	—	—	—	—	—
2012	21	A RAW	2 teams	—	416	361	103	28	6	5	41	55	4	3	3	285	365	438	802	152	320	13	10	350	78	—	—	—	—	—	—
2013	22	AAA MLE	3 teams	—	420	382	94	18	0	3	25	79	2	1	2	246	296	317	613	71	297	19	6	267	67	—	—	—	—	—	—
2013	22	AAA RAW	3 teams	—	420	376	102	24	0	3	31	57	2	1	2	271	330	359	689	88	307	14	7	305	67	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	499	454	104	21	2	7	32	103	1	3	0	229	281	330	612	101	277	21	6	268	68	—	—	—	—	—	—
2014	23	AAA RAW	2 teams	—	499	447	126	27	3	10	39	73	1	3	0	282	341	423	764	141	314	15	8	333	68	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	362	334	88	20	0	6	24	58	0	3	0	263	313	377	690	114	301	16	7	304	92	-4	+1	+3	+6	+8	1.4
2015	24	MLB RAW	2 teams	—	362	332	91	21	0	6	26	56	0	3	0	274	327	392	718	117	312	15	7	319	92	-4	+1	+3	+6	+8	1.4
2016	25	MLB MLE	2 teams	—	331	307	68	20	0	7	13	58	1	1	2	221	255	355	611	134	250	18	4	260	62	-15	-1	+5	+6	+7	0.2
2016	25	MLB RAW	2 teams	—	331	307	70	20	0	8	13	56	1	1	2	228	262	371	633	143	253	17	4	272	62	-15	-1	+5	+6	+7	0.2
2017	26	AAA MLE	3 teams	—	397	359	100	17	3	6	30	68	3	4	1	279	339	393	732	114	324	17	8	322	104	—	—	—	—	—	—
2017	26	AAA RAW	3 teams	—	397	351	116	23	4	7	38	48	3	4	1	330	401	479	879	148	362	12	10	387	104	—	—	—	—	—	—
2018	27	AAA MLE	3 teams	—	180	168	35	5	0	5	8	42	1	1	0	208	249	327	576	119	246	23	4	255	59	—	—	—	—	—	—
2018	27	AAA RAW	3 teams	—	180	165	39	6	0	7	11	38	1	1	0	236	288	400	688	164	264	21	6	301	59	—	—	—	—	—	—
2019	28	AA MLE	2 teams	—	410	382	75	18	0	11	13	72	8	0	0	196	238	330	568	134	210	18	3	245	52	—	—	—	—	—	—
2019	28	AA RAW	2 teams	—	410	374	91	23	0	14	21	56	8	0	0	243	298	417	715	174	248	14	5	312	52	—	—	—	—	—	—
2020	29	INTL MLE	Navegantes del Magallanes	—	118	112	36	5	1	5	4	11	2	0	0	321	356	518	874	196	323	9	3	—	—	—	—	—	—	—	—
2020	29	INTL RAW	Navegantes del Magallanes	—	118	112	36	5	1	5	4	11	2	0	0	321	356	518	874	196	323	9	3	384	146	—	—	—	—	—	—
2021	30	AAA MLE	2 teams	—	499	467	90	17	1	27	24	91	6	1	0	193	241	407	648	214	179	18	5	277	74	—	—	—	—	—	—
2021	30	AAA RAW	2 teams	—	499	449	112	23	1	33	42	78	6	1	0	249	322	526	848	276	232	16	8	367	74	—	—	—	—	—	—
2022	31	AAA MLE	Albuquerque Isotopes	—	522	472	86	20	1	20	38	121	8	0	0	182	255	356	611	174	197	23	7	263	64	—	—	—	—	—	—
2022	31	AAA RAW	Albuquerque Isotopes	—	522	456	116	28	1	31	54	100	8	0	0	254	344	524	868	270	258	19	10	376	64	—	—	—	—	—	—
2023	32	MLB MLE	3 teams	—	317	284	66	8	0	10	21	62	6	0	0	232	299	366	665	134	258	20	7	301	90	-4	+0	-2	+6	+7	0.7
2023	32	MLB RAW	3 teams	—	317	283	74	11	0	11	22	59	6	0	0	261	328	417	745	155	289	19	7	328	90	-4	+0	-2	+6	+7	0.7
2024	33	AAA MLE	Las Vegas Aviators	—	468	424	82	19	3	18	33	94	6	0	0	193	261	380	641	186	202	20	7	277	74	—	—	—	—	—	—
2024	33	AAA RAW	Las Vegas Aviators	—	468	408	106	27	4	27	49	80	6	0	0	260	348	544	892	284	258	17	10	383	74	—	—	—	—	—	—
2025	34	AAA MLE	2 teams	—	607	548	118	31	1	21	43	122	10	1	1	215	285	391	675	175	236	20	7	292	84	—	—	—	—	—	—
2025	34	AAA RAW	2 teams	—	607	523	148	37	1	35	68	103	10	1	1	283	376	558	934	275	289	17	11	403	84	—	—	—	—	—	—
2026	35	AAA MLE	2 teams	—	320	296	52	12	0	11	21	75	2	1	0	176	235	328	563	152	194	23	7	251	56	—	—	—	—	—	—
2026	35	AAA RAW	2 teams	—	320	282	70	19	1	16	35	60	2	1	0	248	335	493	828	245	261	19	11	362	56	—	—	—	—	—	—
2008	17	ROK MLE	DSL Blue Jays 1	—	257	212	45	7	1	0	37	34	6	7	5	212	346	255	601	42	242	13	14	280	76	—	—	—	—	—	—
2009	18	ROK MLE	GCL Blue Jays	—	163	150	32	8	2	1	10	33	2	2	5	213	277	313	590	100	261	20	6	260	62	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	429	399	88	13	6	3	25	105	2	6	2	221	273	306	578	85	279	24	6	251	56	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	416	383	90	23	5	4	26	78	4	3	3	235	296	352	648	117	279	19	6	284	78	—	—	—	—	—	—
2013	22	AAA MLE	3 teams	—	420	390	94	18	0	3	25	79	2	1	2	241	296	310	606	69	289	19	6	267	67	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	499	463	104	21	2	7	32	103	1	3	0	225	281	324	605	99	271	21	6	268	68	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	362	335	88	20	0	6	24	58	0	3	0	263	313	376	689	113	301	16	7	304	92	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	331	314	68	20	0	7	13	58	1	1	2	217	255	347	603	131	246	18	4	260	62	—	—	—	—	—	—
2017	26	AAA MLE	3 teams	—	397	361	100	17	3	6	30	68	3	4	1	277	339	391	730	114	314	17	8	322	104	—	—	—	—	—	—
2018	27	AAA MLE	3 teams	—	180	169	35	5	0	5	8	42	1	1	0	207	249	325	574	118	239	23	4	255	59	—	—	—	—	—	—
2019	28	AA MLE	2 teams	—	410	386	75	18	0	11	13	72	8	0	0	194	238	326	565	132	206	18	3	245	52	—	—	—	—	—	—
2021	30	AAA MLE	2 teams	—	499	466	90	17	1	27	24	91	6	1	0	193	241	408	649	215	178	18	5	277	74	—	—	—	—	—	—
2022	31	AAA MLE	Albuquerque Isotopes	—	522	471	86	20	1	20	38	121	8	0	0	183	255	357	612	174	194	23	7	263	64	—	—	—	—	—	—
2023	32	MLB MLE	3 teams	—	317	287	66	8	0	10	21	62	6	0	0	230	299	362	661	132	260	20	7	301	90	—	—	—	—	—	—
2024	33	AAA MLE	Las Vegas Aviators	—	468	426	82	19	3	18	33	94	6	0	0	192	261	378	639	185	198	20	7	277	74	—	—	—	—	—	—
2025	34	AAA MLE	2 teams	—	607	549	118	31	1	21	43	122	10	1	1	215	285	390	674	175	231	20	7	292	84	—	—	—	—	—	—
2026	35	AAA MLE	2 teams	—	320	294	52	12	0	11	21	75	2	1	0	177	235	330	565	153	195	23	7	251	56	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	AAA MLE	Las Vegas Aviators	—	468	426	82	19	3	18	33	94	6	0	0	192	261	378	639	185	198	20	7	277	74	—	—	—	—	—	—
2025	34	AAA MLE	2 teams	—	607	549	118	31	1	21	43	122	10	1	1	215	285	390	674	175	231	20	7	292	84	—	—	—	—	—	—
2026	35	AAA MLE	2 teams	—	320	294	52	12	0	11	21	75	2	1	0	177	235	330	565	153	195	23	7	251	56	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	DET	10%	322	293	67	15	1	11	23	69	3	2	1	230	294	403	697	173	260	21	7	308	94	-2	+0	+1	+6	+7	0.7
▸ 2027 — real world (MLB)
2027	36	MLB CTX	DET	10%	21	19	5	1	0	1	2	4	0	0	0	225	290	392	682	167	256	19	10	302	94	-0	+0	+0	+0	+0	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	DET	1%	117	107	23	5	0	4	8	26	1	0	0	217	280	374	654	157	249	22	7	290	83	-2	+0	-7	+2	+3	-0.5
2028	37	MLB CTX	DET	1%	1	1	0	0	0	0	0	0	0	0	0	213	276	364	640	152	245	0	0	285	83	-0	+0	-0	+0	+0	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	860	787	171	35	0	17	47	165	6	4	0	217	267	327	593	109	252	19	5	262	70	-37	+1	+6	+28	+19	1.7
/ 162G	—	A+C		—	650	595	129	26	0	13	36	125	5	3	0	217	268	326	594	109	251	19	6	262	70	-28	+1	+5	+21	+14	1.3
Career	—	MLE		—	7043	6417	1416	297	27	176	450	1377	73	35	21	221	279	358	637	137	251	20	6	272	70	-41	+1	-0	+34	+26	2.0
/ 162G	—	MLE		—	650	592	130	27	2	16	42	127	7	3	2	220	279	353	632	133	251	20	6	272	70	-22	+1	-0	+19	+14	1.1

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 AAAToledo Mud Hens · 283 PAwOBA .344 → .251 (−93)K% 19.4% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.43%	÷1.000	×1.200	—	—	23.32%
BB% (unintentional) /PA	10.25%	÷1.000	×0.690	—	×0.940	6.65%
HBP% /PA	0.71%	—	×0.940	—	×0.940	0.62%
Singles /BIP	15.98%	÷1.000	×0.930	×0.950	×0.940	13.27%
Doubles /BIP	7.22%	÷1.000	×0.830	×0.950	×0.940	5.35%
Triples /BIP	0.00%	÷1.000	×0.970	×0.950	×0.940	0.00%
Home runs /BIP	7.73%	÷1.000	×0.700	—	×0.940	5.09%

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 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .344 → .251; ISO .237 → .163; BABIP .250 → .195. 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 AAAIowa Cubs · 465 PAwOBA .400 → .292 (−108)K% 16.6% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.56%	÷0.989	×1.200	—	—	20.10%
BB% (unintentional) /PA	10.97%	÷1.005	×0.690	—	×0.940	7.08%
HBP% /PA	1.51%	—	×0.940	—	×0.940	1.33%
Singles /BIP	16.92%	÷0.949	×0.930	×0.959	×0.940	14.95%
Doubles /BIP	9.85%	÷1.033	×0.830	×0.959	×0.940	7.14%
Triples /BIP	0.31%	÷0.939	×0.970	×0.959	×0.940	0.29%
Home runs /BIP	8.31%	÷1.125	×0.700	—	×0.940	4.86%

Factors used: league row International League. Park (home-season share, regressed): HR 125, 1B 90, 2B 107, 3B 88, K 98, BB 101 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.

Result: wOBA .400 → .292; ISO .286 → .184; BABIP .290 → .231. 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 · 468 PAwOBA .376 → .277 (−99)K% 17.1% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.09%	÷1.022	×1.200	—	—	20.07%
BB% (unintentional) /PA	10.26%	÷0.952	×0.690	—	×0.940	6.99%
HBP% /PA	1.28%	—	×0.940	—	×0.940	1.13%
Singles /BIP	14.63%	÷0.974	×0.930	×0.950	×0.940	12.48%
Doubles /BIP	8.23%	÷1.088	×0.830	×0.950	×0.940	5.61%
Triples /BIP	1.22%	÷1.150	×0.970	×0.950	×0.940	0.92%
Home runs /BIP	8.23%	÷1.001	×0.700	—	×0.940	5.41%

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 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .376 → .277; ISO .284 → .195; BABIP .258 → .198. 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 · 15 PAwOBA .436 → .352 (−84)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.017	×1.200	—	—	0.00%
BB% (unintentional) /PA	6.67%	÷1.055	×0.690	—	×0.942	4.11%
HBP% /PA	6.67%	—	×0.940	—	×0.942	5.90%
Singles /BIP	23.08%	÷0.993	×0.930	—	×0.942	20.36%
Doubles /BIP	15.38%	÷1.124	×0.830	—	×0.942	10.70%
Triples /BIP	0.00%	÷1.133	×0.970	—	×0.942	0.00%
Home runs /BIP	0.00%	÷0.996	×0.700	—	×0.942	0.00%

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 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .436 → .352; ISO .154 → .111; BABIP .385 → .311. 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 · 522 PAwOBA .368 → .263 (−105)K% 19.2% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.16%	÷0.995	×1.200	—	—	23.10%
BB% (unintentional) /PA	10.34%	÷0.945	×0.690	—	×0.952	7.19%
HBP% /PA	1.53%	—	×0.940	—	×0.952	1.37%
Singles /BIP	15.73%	÷1.047	×0.930	×0.950	×0.952	12.64%
Doubles /BIP	7.87%	÷1.038	×0.830	×0.950	×0.952	5.69%
Triples /BIP	0.28%	÷1.150	×0.970	×0.950	×0.952	0.21%
Home runs /BIP	8.71%	÷1.061	×0.700	—	×0.952	5.47%

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 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .368 → .263; ISO .270 → .176; BABIP .258 → .194. 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 AAALas Vegas Aviators · 418 PAwOBA .382 → .277 (−105)K% 15.1% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.07%	÷0.994	×1.200	—	—	18.19%
BB% (unintentional) /PA	7.89%	÷1.083	×0.690	—	×0.962	4.84%
HBP% /PA	1.44%	—	×0.940	—	×0.962	1.30%
Singles /BIP	15.97%	÷1.156	×0.930	×0.954	×0.962	11.79%
Doubles /BIP	6.07%	÷1.018	×0.830	×0.954	×0.962	4.54%
Triples /BIP	0.32%	÷0.956	×0.920	×0.954	×0.962	0.28%
Home runs /BIP	9.90%	÷0.941	×0.700	—	×0.962	7.09%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 131, 2B 104, 3B 91, K 99, BB 117 — 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 ×0.954.

Result: wOBA .382 → .277; ISO .303 → .222; BABIP .246 → .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).

2019 AABowie Baysox · 385 PAwOBA .318 → .253 (−65)K% 13.5% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.51%	÷0.940	×1.220	—	—	17.53%
BB% (unintentional) /PA	4.94%	÷1.020	×0.700	—	×0.958	3.24%
HBP% /PA	2.08%	—	×0.850	—	×0.958	1.69%
Singles /BIP	17.45%	÷1.031	×0.970	×0.950	×0.958	14.94%
Doubles /BIP	7.38%	÷0.987	×0.860	×0.950	×0.958	5.85%
Triples /BIP	0.00%	÷1.116	×0.950	×0.950	×0.958	0.00%
Home runs /BIP	4.70%	÷0.987	×0.780	—	×0.958	3.56%

Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 106, 2B 97, 3B 123, K 88, BB 104 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .318 → .253; ISO .183 → .141; BABIP .255 → .211. 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 AAANorfolk Tides · 25 PAwOBA .148 → .117 (−30)K% 16.0% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷0.973	×1.200	—	—	19.72%
BB% (unintentional) /PA	4.00%	÷1.103	×0.690	—	×0.982	2.46%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	10.00%	÷1.033	×0.930	—	×0.982	8.84%
Doubles /BIP	5.00%	÷0.990	×0.830	—	×0.982	4.12%
Triples /BIP	0.00%	÷0.954	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.889	×0.840	—	×0.982	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 107, 2B 98, 3B 91, K 95, BB 121 — 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).

Result: wOBA .148 → .117; ISO .042 → .033; BABIP .150 → .130. 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
#1Curt 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
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#4Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.3	860	17	4	218	264	327	+15	+5	0.6	0.6
/162	664	13	3	+11.8	+3.8	0.5	pk7: 1
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
#6Joel Skinner'83-'91 * career totals — 8 seasons, 1,551 PA	2.3	1,551	17	3	227*	270*	327*	+27	-0	-0.6	0.2
/162	664	7	1	+11.7	-0.1	-0.3	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
Carlos Pérez (OGILVIE)	36	—	—	—	—	228/292/399	172	260	7	1	21%	7%	94	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕John Flaherty 2005 · MLB	37	48→52	52→45	38→40	43	248/284/415	167	272	19	5	18%	4%	94	+0.9	220/270/362	142	251	16	7	19%	6%	77	-0.3	160/203/244	84	184	9	0	19%	4%	24	-1.0
✕Miguel Olivo 2014 · MLB	36	42→50	54→60	39→50	38	227/259/398	170	272	24	7	27%	4%	81	-0.1	230/270/370	140	313	16	8	31%	5%	78	-0.3	216/254/339	124	304	13	8	32%	4%	62	-0.7
✕A.J. Ellis 2018 · MLB	37	45→54	48→45	45→40	54	228/311/370	143	252	17	5	18%	9%	95	+0.9	247/334/371	124	299	12	6	20%	11%	103	+1.5	266/370/339	73	343	3	0	20%	14%	109	+0.6
✕Vance Wilson 2009 · MLB	36	49	50	43→40	44	248/299/406	157	286	18	9	21%	6%	98	+1.2	232/292/386	154	280	19	6	24%	6%	91	+0.7	213/266/351	138	253	20	0	24%	4%	71	-0.3
✕Kelly Stinnett 2006 · MLB	36	47	50	46→40	44	240/301/390	150	294	19	4	25%	7%	95	+1.0	212/264/329	117	271	14	5	26%	6%	67	-1.1	177/219/253	76	229	9	0	27%	5%	31	-1.0
✕Saul Soto 2015 · AAA	36	47→57	48→55	41→45	48	237/300/374	137	281	17	3	22%	8%	91	+0.6	241/318/357	116	282	12	3	18%	10%	93	+0.8	243/326/348	105	281	10	2	17%	10%	94	+0.7
✕Chris Widger 2006 · MLB	35	48	47→60	39→40	49	239/295/378	139	263	14	5	16%	7%	90	+0.6	225/296/354	129	267	14	7	20%	9%	84	+0.2	167/252/229	62	211	6	0	22%	10%	41	-0.5
✕Miguel Ojeda 2011 · AAA	36	47→45	46→45	43→45	51	235/298/365	131	265	14	8	18%	8%	88	+0.4	228/284/331	103	275	10	7	20%	7%	74	-0.5	225/281/317	91	274	8	6	20%	6%	68	-0.7
✕Mendy López 2010 · AAA	36	48→54	50→55	39→30	51	244/313/398	154	295	17	3	23%	9%	101	+1.4	242/311/400	158	312	20	3	27%	9%	101	+1.4	230/306/399	169	293	24	1	29%	9%	98	+0.7
✕José Hernández 2006 · MLB	37	47→57	50→55	41→45	45	242/299/391	150	302	19	5	26%	7%	95	+0.9	234/289/361	127	295	14	6	25%	7%	84	+0.1	230/285/340	110	295	11	6	25%	6%	75	-0.3
✕Alex Gonzalez 2013 · MLB	36	47→54	51→55	44→40	43	245/284/408	162	276	20	4	20%	5%	93	+0.8	222/272/344	122	261	13	7	20%	6%	73	-0.6	178/206/231	53	222	5	0	22%	3%	21	-0.9
✕Nick Hundley 2018 · MLB	34	50→45	51→55	42→40	42	251/291/417	166	302	17	4	23%	5%	97	+1.1	232/279/394	162	302	19	5	29%	6%	87	+0.4	219/266/377	158	287	19	3	30%	6%	80	-0.1
✕Eddie Pérez 2004 · MLB	36	50	47→50	42→30	45	251/285/388	137	270	15	3	14%	4%	88	+0.4	239/285/382	143	265	16	4	17%	6%	87	+0.4	223/277/343	120	252	10	0	15%	5%	76	-0.1
✕Benito Santiago 2001 · MLB	36	49→56	49→50	44→45	45	247/287/394	147	270	18	7	17%	5%	90	+0.6	261/298/397	136	292	14	6	15%	5%	95	+0.9	272/311/427	156	298	17	3	15%	5%	108	+1.2
✕Sal Fasano 2007 · MLB	35	44	54→55	41→40	39	233/287/409	177	288	23	4	28%	5%	95	+1.0	210/269/343	133	276	15	5	29%	4%	72	-0.7	183/238/286	103	251	12	3	31%	3%	47	-0.8
✕John Buck 2014 · MLB	34	42→52	51→60	43→30	48	221/293/376	155	261	21	3	24%	8%	89	+0.5	232/296/358	126	288	15	5	24%	7%	85	+0.2	229/290/300	70	298	6	0	24%	7%	68	-0.4
✕Chris Coste 2007 · MLB	34	49→48	47→50	40→30	43	245/290/381	136	276	16	4	18%	5%	88	+0.5	245/295/376	131	279	15	3	18%	5%	89	+0.5	243/297/365	122	280	13	0	18%	5%	88	+0.2
✕Rod Barajas 2012 · MLB	36	43→47	56→60	46→30	43	232/274/418	186	243	26	2	18%	4%	92	+0.7	225/287/386	161	250	21	4	20%	7%	89	+0.5	202/270/342	140	220	20	0	19%	7%	74	-0.3
✕Doug Mirabelli 2007 · MLB	36	44	53→50	48→30	46	228/304/398	170	292	21	5	29%	8%	99	+1.2	228/300/390	162	298	20	7	29%	8%	95	+1.0	200/276/357	157	261	24	0	32%	9%	79	-0.0
✕Mike Cervenak 2013 · AAA	36	51→58	46→45	41→40	46	253/297/376	124	278	14	4	15%	5%	90	+0.6	245/288/356	111	275	11	7	15%	5%	81	-0.1	240/272/321	81	266	8	4	13%	3%	65	-0.7

Carlos Pérez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps