Franchy Cordero

1B Leones del Escogido

Age 32 L/R 6'3" / 225 lbs INTL Svc 10.000 · Ctrl thru 2027

Overview

INTLExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	29	INTLLeones del Es…	77	.279/.429/.508	2	1	166	—
2025	30	AAA/INTL2 orgs	321	.240/.312/.406	12	0	80	—	.181/.235/.271
2026	31	INTLLeones del Es…	19	.222/.263/.278	0	0	53	—
2027PROJMLE	32	MLBWSH	216	.230/.293/.358	5	4	83	0.0
2028PROJ22% MLB	33	MLBWSH	25	.222/.285/.340	1	0	76	-0.2

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

ContractESTIMATED

Control thru2027Service10.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2021-2023

Bat Spd90

Barrel%68

Avg EV58

Speed47

xwOBA34

CompsSherman Johnson (age 31) · Jorge Guzman (age 32) · Jason Conti (age 31)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 134 proj PA

wRC+†83

AVG/OBP/SLG.228 / .291 / .355

PA134

HR3

K%27

BB%7

ISO128

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 45

Toolsscout grade · Statcast %ile · 2021-2023

CONTACT40

xAVG

100.214

POWER45

Barrel%

6810.8

Avg EV

5889.6

Bat Spd

9078.1

EYE45

scouting grade only

SPEED45

Sprint

4727.4

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

Status FA

MLB Debut 2017

Service 10.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$0.0M	-$1M

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)
2012	17	ROK	DSL Padres	—	270	230	62	9	6	1	37	73	1	14	4	270	373	374	747	104	389	27	14	339	38	—	—	—	—	—	—
2013	18	ROK	AZL Padres	—	157	141	47	4	6	3	10	33	2	11	0	333	386	511	896	177	411	21	6	384	71	—	—	—	—	—	—
2014	19	A	Fort Wayne TinCaps	—	94	85	16	2	1	0	4	36	2	3	3	188	242	235	477	47	314	38	4	215	-12	—	—	—	—	—	—
2015	20	A	Fort Wayne TinCaps	—	524	481	117	13	1	5	31	121	4	22	11	243	295	306	600	62	313	23	6	271	34	—	—	—	—	—	—
2016	21	AAA	El Paso Chihuahuas	—	16	13	1	0	0	0	3	4	0	0	0	77	250	77	327		111	25	19	187	-17	—	—	—	—	—	—
2016	21	AA	San Antonio Missions	—	264	245	75	8	8	6	17	67	2	12	6	306	356	478	834	171	401	25	6	367	110	—	—	—	—	—	—
2016	21	A+	Lake Elsinore Storm	—	322	297	85	16	8	5	19	83	5	11	8	286	340	444	784	158	381	26	6	346	75	—	—	—	—	—	—
2016	21	INTL	Peoria Javelinas	—	82	74	15	3	0	1	7	26	0	4	0	203	272	284	555	81	298	32	9	253	58	—	—	—	—	—	—
2017	22	MLB	San Diego Padres	—	99	92	21	3	3	3	6	44	0	1	1	228	276	424	699	196	400	44	6	303	93	-1	-0	+3	+3	+2	0.7
2017	22	AAA	El Paso Chihuahuas	—	419	390	127	21	18	17	23	118	4	15	4	326	369	603	972	277	431	28	5	417	101	—	—	—	—	—	—
2017	22	INTL	Leones del Escogido	—	211	186	60	7	5	5	22	39	1	6	3	323	397	495	892	172	382	18	10	391	151	—	—	—	—	—	—
2018	23	MLB	San Diego Padres	—	154	139	33	5	1	7	14	55	0	5	2	237	307	439	746	201	338	36	9	328	109	+2	+0	-2	-3	+3	-0.0
2018	23	AAA	El Paso Chihuahuas	—	31	27	7	1	0	1	4	10	0	3	0	259	355	407	762	148	375	32	13	345	57	—	—	—	—	—	—
2018	23	INTL	Leones del Escogido	—	112	99	23	5	2	2	13	37	0	4	0	232	321	384	705	152	350	33	12	317	101	—	—	—	—	—	—
2019	24	MLB	San Diego Padres	—	20	15	5	1	0	0	4	7	0	1	0	333	474	400	874	67	556	35	20	385	150	+1	+0	-1	+0	+0	0.1
2019	24	AAA	El Paso Chihuahuas	—	51	46	10	2	1	3	4	19	1	0	0	217	294	500	794	283	292	37	8	345	47	—	—	—	—	—	—
2019	24	INTL	Leones del Escogido	—	39	33	12	4	0	1	6	12	0	0	0	364	462	576	1.037	212	550	31	15	455	194	—	—	—	—	—	—
2020	25	MLB	Kansas City Royals	—	42	38	8	3	0	2	4	4	0	1	0	211	286	447	733	237	188	10	10	322	110	+0	+0	-0	-1	+1	0.0
2020	25	INTL	Leones del Escogido	—	76	66	15	2	0	2	9	21	0	0	0	227	320	348	668	121	295	28	12	302	91	—	—	—	—	—	—
2021	26	MLB	Boston Red Sox	—	136	127	24	6	0	1	8	51	0	1	1	189	237	260	497	71	307	38	6	226	34	-11	-0	-1	-6	+3	-1.5
2021	26	AAA	Worcester Red Sox	—	335	287	86	24	2	13	42	94	5	12	1	300	397	533	930	233	406	28	13	408	98	—	—	—	—	—	—
2021	26	INTL	Leones del Escogido	—	97	87	22	5	1	2	8	20	0	1	0	253	316	402	718	149	303	21	8	314	99	—	—	—	—	—	—
2022	27	MLB	Boston Red Sox	—	275	242	53	17	1	8	28	92	1	4	1	219	303	397	699	178	312	33	10	308	88	-4	+0	-9	-8	+6	-1.5
2022	27	AAA	Worcester Red Sox	—	136	117	38	10	0	7	15	42	1	4	2	325	406	590	996	265	437	31	11	424	102	—	—	—	—	—	—
2022	27	INTL	Leones del Escogido	—	37	31	7	1	0	0	4	10	0	0	0	226	314	258	572	32	318	27	11	257	60	—	—	—	—	—	—
2023	28	MLB	New York Yankees	—	71	69	13	2	0	6	2	25	0	0	0	188	211	478	690	290	184	35	3	295	79	-2	+0	-1	-5	+2	-0.6
2023	28	AAA	Scranton/Wilkes-Barre RailRiders	—	350	292	84	14	1	13	53	77	4	8	1	288	404	476	880	188	350	22	15	392	93	—	—	—	—	—	—
2023	28	INTL	Leones del Escogido	—	27	22	8	2	0	1	5	4	0	0	0	364	481	591	1.072	227	412	15	19	469	204	—	—	—	—	—	—
2024	29	INTL	Leones del Escogido	—	77	61	17	6	1	2	16	20	0	1	1	279	429	508	937	230	385	26	21	414	166	—	—	—	—	—	—
2025	30	AAA	Rochester Red Wings	—	166	150	32	6	0	4	15	43	1	0	0	213	289	333	622	120	272	26	9	284	34	—	—	—	—	—	—
2025	30	INTL	Dominican Republic	—	155	138	37	6	0	8	14	55	1	0	0	268	338	486	823	217	382	35	9	359	129	—	—	—	—	—	—
2026	31	INTL	Leones del Escogido	—	19	18	4	1	0	0	1	7	0	0	0	222	263	278	541	56	364	37	5	247	53	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	797	722	157	37	5	27	66	278	1	13	5	217	284	395	679	177	310	35	8	299	88	-11	+1	-11	-20	+17	-2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	17	ROK MLE	DSL Padres	—	270	242	42	6	4	0	25	89	1	14	4	174	254	231	485	58	266	33	9	224	38	—	—	—	—	—	—
2013	18	ROK MLE	AZL Padres	—	157	145	35	3	4	2	6	48	2	11	0	241	281	359	640	117	321	31	4	273	71	—	—	—	—	—	—
2014	19	A MLE	Fort Wayne TinCaps	—	94	87	11	1	1	0	2	51	2	3	3	126	165	161	326	34	278	54	2	150	-12	—	—	—	—	—	—
2015	20	A MLE	Fort Wayne TinCaps	—	524	492	101	11	1	4	20	169	4	22	11	205	242	256	498	51	291	32	4	218	34	—	—	—	—	—	—
2016	21	AAA MLE	El Paso Chihuahuas	—	16	14	1	0	0	0	2	5	0	0	0	71	188	71	259		102	31	12	143	-17	—	—	—	—	—	—
2016	21	AA MLE	San Antonio Missions	—	264	253	72	7	9	5	9	81	2	12	6	285	314	443	757	158	402	31	3	331	110	—	—	—	—	—	—
2016	21	A+ MLE	Lake Elsinore Storm	—	322	303	73	12	6	5	13	109	5	11	8	241	283	370	653	129	354	34	4	279	75	—	—	—	—	—	—
2017	22	MLB MLE	San Diego Padres	—	99	92	21	3	3	3	6	44	0	1	1	228	276	424	699	196	400	44	6	306	93	-1	-0	+3	+3	+2	0.7
2017	22	AAA MLE	El Paso Chihuahuas	—	419	395	103	17	14	12	18	152	4	15	4	261	300	466	766	205	385	36	4	318	101	—	—	—	—	—	—
2018	23	MLB MLE	San Diego Padres	—	154	139	33	5	1	7	14	55	0	5	2	237	307	439	746	201	338	36	9	329	109	+2	+0	-2	-3	+3	-0.0
2018	23	AAA MLE	El Paso Chihuahuas	—	31	28	6	1	0	1	3	13	0	3	0	214	290	357	647	143	330	42	10	252	57	—	—	—	—	—	—
2019	24	MLB MLE	San Diego Padres	—	20	15	5	1	0	0	4	7	0	1	0	333	474	400	874	67	556	35	20	391	150	+1	+0	-1	+0	+0	0.1
2019	24	AAA MLE	El Paso Chihuahuas	—	51	47	7	1	1	2	3	25	1	0	0	149	216	340	556	191	251	49	6	238	47	—	—	—	—	—	—
2020	25	MLB MLE	Kansas City Royals	—	42	38	8	3	0	2	4	4	0	1	0	211	286	447	733	237	188	10	10	331	110	+0	+0	-0	-1	+1	0.0
2021	26	MLB MLE	Boston Red Sox	—	136	127	23	5	0	1	8	51	0	1	1	181	230	244	474	63	307	38	6	219	34	-11	-0	-1	-6	+3	-1.5
2021	26	AAA MLE	Worcester Red Sox	—	335	303	74	20	2	7	27	111	5	12	1	244	316	393	709	149	363	33	8	313	98	—	—	—	—	—	—
2022	27	MLB MLE	Boston Red Sox	—	275	243	51	15	1	8	27	92	1	4	1	210	292	379	670	169	312	33	10	298	88	-4	+0	-9	-8	+6	-1.5
2022	27	AAA MLE	Worcester Red Sox	—	136	122	30	7	0	5	10	50	1	4	2	246	308	426	735	180	341	37	7	319	102	—	—	—	—	—	—
2023	28	MLB MLE	New York Yankees	—	71	69	13	2	0	6	2	25	0	0	0	188	211	478	690	290	184	35	3	285	79	-2	+0	-1	-5	+2	-0.6
2023	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	350	312	74	13	1	9	33	93	4	8	1	237	318	372	690	135	307	27	9	306	93	—	—	—	—	—	—
2025	30	AAA MLE	Rochester Red Wings	—	166	155	28	5	0	3	10	50	1	0	0	181	235	271	506	90	238	30	6	218	34	—	—	—	—	—	—
2012	17	ROK MLE	DSL Padres	—	270	242	42	6	4	0	25	89	1	14	4	174	254	231	485	58	273	33	9	224	38	—	—	—	—	—	—
2012	17	ROK RAW	DSL Padres	—	270	230	62	9	6	1	37	73	1	14	4	270	373	374	747	104	389	27	14	339	38	—	—	—	—	—	—
2013	18	ROK MLE	AZL Padres	—	157	145	35	3	4	2	6	48	2	11	0	241	281	359	640	117	340	31	4	273	71	—	—	—	—	—	—
2013	18	ROK RAW	AZL Padres	—	157	141	47	4	6	3	10	33	2	11	0	333	386	511	896	177	411	21	6	384	71	—	—	—	—	—	—
2014	19	A MLE	Fort Wayne TinCaps	—	94	87	11	1	1	0	2	51	2	3	3	126	165	161	326	34	289	54	2	150	-12	—	—	—	—	—	—
2014	19	A RAW	Fort Wayne TinCaps	—	94	85	16	2	1	0	4	36	2	3	3	188	242	235	477	47	314	38	4	215	-12	—	—	—	—	—	—
2015	20	A MLE	Fort Wayne TinCaps	—	524	492	101	11	1	4	20	169	4	22	11	205	242	256	498	51	301	32	4	218	34	—	—	—	—	—	—
2015	20	A RAW	Fort Wayne TinCaps	—	524	481	117	13	1	5	31	121	4	22	11	243	295	306	600	62	313	23	6	271	34	—	—	—	—	—	—
2016	21	A+ MLE	4 teams	—	684	648	166	23	17	11	27	222	7	27	14	256	293	395	688	139	373	32	4	298	88	—	—	—	—	—	—
2016	21	A+ RAW	4 teams	—	684	629	176	27	16	12	46	180	7	27	14	280	336	431	767	151	374	26	7	339	88	—	—	—	—	—	—
2017	22	AAA MLE	3 teams	—	729	685	172	28	23	20	34	275	5	22	8	251	291	447	738	196	388	38	5	316	100	—	—	—	—	—	—
2017	22	AAA RAW	3 teams	—	729	668	208	31	26	25	51	201	5	22	8	311	365	548	913	237	412	28	7	394	100	—	—	—	—	—	—
2018	23	MLB MLE	3 teams	—	297	269	63	10	2	12	27	109	0	12	2	234	304	420	724	186	345	37	9	316	100	+0	+2	-2	-3	+6	0.3
2018	23	MLB RAW	3 teams	—	297	265	63	11	3	10	31	102	0	12	2	238	318	415	733	177	346	34	10	326	100	+0	+2	-2	-3	+6	0.3
2019	24	AAA MLE	3 teams	—	110	97	19	4	1	3	11	50	1	1	0	196	284	351	635	155	356	45	10	281	76	—	—	—	—	—	—
2019	24	AAA RAW	3 teams	—	110	94	27	7	1	4	14	38	1	1	0	287	385	511	896	223	434	35	13	391	76	—	—	—	—	—	—
2020	25	INTL MLE	2 teams	—	118	106	22	8	0	6	11	11	0	1	0	208	282	453	735	245	178	9	9	331	110	—	—	—	—	—	—
2020	25	INTL RAW	2 teams	—	118	104	23	5	0	4	13	25	0	1	0	221	308	385	692	163	250	21	11	309	110	—	—	—	—	—	—
2021	26	AAA MLE	3 teams	—	568	517	118	31	2	10	43	195	5	14	2	228	294	354	648	126	345	34	8	286	80	—	—	—	—	—	—
2021	26	AAA RAW	3 teams	—	568	501	132	35	3	16	58	165	5	14	2	263	345	441	786	178	361	29	10	348	80	—	—	—	—	—	—
2022	27	MLB MLE	3 teams	—	448	396	89	24	1	15	41	155	2	8	3	225	301	404	705	179	319	35	9	305	92	-4	+0	-9	-8	+10	-1.1
2022	27	MLB RAW	3 teams	—	448	390	98	28	1	15	47	144	2	8	3	251	335	444	778	192	350	32	10	339	92	-4	+0	-9	-8	+10	-1.1
2023	28	AAA MLE	3 teams	—	448	405	93	16	1	16	38	125	4	8	1	230	302	393	695	163	291	28	8	302	91	—	—	—	—	—	—
2023	28	AAA RAW	3 teams	—	448	383	105	18	1	20	60	106	4	8	1	274	378	483	861	209	329	24	13	381	91	—	—	—	—	—	—
2024	29	INTL MLE	Leones del Escogido	—	77	61	17	6	1	2	16	20	0	1	1	279	429	508	937	230	385	26	21	—	—	—	—	—	—	—	—
2024	29	INTL RAW	Leones del Escogido	—	77	61	17	6	1	2	16	20	0	1	1	279	429	508	937	230	385	26	21	414	166	—	—	—	—	—	—
2025	30	AAA MLE	2 teams	—	321	298	52	9	0	5	20	97	2	0	0	174	231	255	486	81	239	30	6	218	34	—	—	—	—	—	—
2025	30	AAA RAW	2 teams	—	321	288	69	12	0	12	29	98	2	0	0	240	312	406	719	167	318	31	9	320	34	—	—	—	—	—	—
2026	31	INTL MLE	Leones del Escogido	—	19	18	4	1	0	0	1	7	0	0	0	222	263	278	541	56	364	37	5	—	—	—	—	—	—	—	—
2026	31	INTL RAW	Leones del Escogido	—	19	18	4	1	0	0	1	7	0	0	0	222	263	278	541	56	364	37	5	247	53	—	—	—	—	—	—
2012	17	ROK MLE	DSL Padres	—	270	242	42	6	4	0	25	89	1	14	4	174	254	231	485	58	266	33	9	224	38	—	—	—	—	—	—
2013	18	ROK MLE	AZL Padres	—	157	148	35	3	4	2	6	48	2	11	0	236	281	351	632	115	321	31	4	273	71	—	—	—	—	—	—
2014	19	A MLE	Fort Wayne TinCaps	—	94	90	11	1	1	0	2	51	2	3	3	122	165	156	320	33	278	54	2	150	-12	—	—	—	—	—	—
2015	20	A MLE	Fort Wayne TinCaps	—	524	495	101	11	1	4	20	169	4	22	11	204	242	255	497	51	291	32	4	218	34	—	—	—	—	—	—
2016	21	A+ MLE	4 teams	—	684	645	166	23	17	11	27	222	7	27	14	257	293	397	690	140	368	32	4	298	88	—	—	—	—	—	—
2017	22	AAA MLE	3 teams	—	729	684	172	28	23	20	34	275	5	22	8	251	291	447	739	196	388	38	5	316	100	—	—	—	—	—	—
2018	23	MLB MLE	3 teams	—	297	268	63	10	2	12	27	109	0	12	2	235	304	422	726	187	336	37	9	316	100	—	—	—	—	—	—
2019	24	AAA MLE	3 teams	—	110	97	19	4	1	3	11	50	1	1	0	196	284	351	635	155	337	45	10	281	76	—	—	—	—	—	—
2020	25	INTL MLE	2 teams	—	118	106	22	8	0	6	11	11	0	1	0	208	282	453	735	245	188	9	9	331	110	—	—	—	—	—	—
2021	26	AAA MLE	3 teams	—	568	515	118	31	2	10	43	195	5	14	2	229	294	355	649	126	347	34	8	286	80	—	—	—	—	—	—
2022	27	MLB MLE	3 teams	—	448	402	89	24	1	15	41	155	2	8	3	221	301	398	699	177	322	35	9	305	92	—	—	—	—	—	—
2023	28	AAA MLE	3 teams	—	448	403	93	16	1	16	38	125	4	8	1	231	302	395	697	164	286	28	8	302	91	—	—	—	—	—	—
2025	30	AAA MLE	2 teams	—	321	296	52	9	0	5	20	97	2	0	0	176	231	257	488	81	238	30	6	218	34	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	30	AAA MLE	2 teams	—	321	296	52	9	0	5	20	97	2	0	0	176	231	257	488	81	238	30	6	218	34	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	WSH	0%	216	196	46	9	1	5	16	58	2	4	1	230	293	358	651	128	298	27	7	292	83	-4	+0	-0	-4	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	WSH	22%	115	105	23	4	1	2	8	31	1	1	0	222	285	341	626	119	291	27	7	281	76	-3	+0	-4	-2	+2	-0.7
2028	33	MLB CTX	WSH	22%	25	23	5	1	0	1	2	7	0	0	0	222	285	340	624	118	291	28	8	281	76	-1	+0	-1	-0	+1	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	822	745	162	38	5	28	68	285	1	13	5	217	284	395	678	177	308	35	8	298	72	-12	+1	-12	-21	+18	-2.7
/ 162G	—	A+C		—	650	589	128	30	4	22	54	225	1	10	4	217	284	394	678	177	308	35	8	298	72	-9	+0	-10	-16	+14	-2.1
Career	—	MLE		—	5113	4693	1055	190	60	111	340	1690	37	148	50	225	282	362	644	137	324	33	7	275	72	-17	+1	-16	-25	+23	-3.4
/ 162G	—	MLE		—	650	597	134	24	8	14	43	215	5	19	6	224	282	362	644	137	323	33	7	275	72	-10	+1	-10	-15	+14	-2.1

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.

2025 AAARochester Red Wings · 166 PAwOBA .277 → .218 (−58)K% 25.9% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.90%	÷1.028	×1.200	—	—	30.25%
BB% (unintentional) /PA	9.04%	÷0.978	×0.690	—	×0.962	6.13%
HBP% /PA	0.60%	—	×0.940	—	×0.962	0.54%
Singles /BIP	20.56%	÷0.987	×0.930	×1.002	×0.962	18.67%
Doubles /BIP	5.61%	÷1.000	×0.830	×1.002	×0.962	4.49%
Triples /BIP	0.00%	÷1.150	×0.970	×1.002	×0.962	0.00%
Home runs /BIP	3.74%	÷0.960	×0.700	—	×0.962	2.62%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 97, 2B 100, 3B 130, K 106, BB 96 — 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 ×1.002.

Result: wOBA .277 → .218; ISO .120 → .086; BABIP .272 → .238. 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 AAAScranton/Wilkes-Barre RailRiders · 350 PAwOBA .382 → .306 (−77)K% 22.0% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.00%	÷0.998	×1.200	—	—	26.46%
BB% (unintentional) /PA	14.86%	÷1.059	×0.690	—	×0.982	9.50%
HBP% /PA	1.14%	—	×0.940	—	×0.982	1.05%
Singles /BIP	26.05%	÷1.029	×0.930	×1.006	×0.982	23.24%
Doubles /BIP	6.51%	÷0.903	×0.830	×1.006	×0.982	5.91%
Triples /BIP	0.47%	÷1.048	×0.970	×1.006	×0.982	0.43%
Home runs /BIP	6.05%	÷1.017	×0.700	—	×0.982	4.09%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 106, 2B 81, 3B 110, K 100, BB 112 — 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 ×1.006.

Result: wOBA .382 → .306; ISO .188 → .144; BABIP .350 → .307. 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 AAAWorcester Red Sox · 136 PAwOBA .421 → .319 (−102)K% 30.9% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.88%	÷1.013	×1.200	—	—	36.59%
BB% (unintentional) /PA	11.03%	÷0.987	×0.690	—	×0.992	7.65%
HBP% /PA	0.74%	—	×0.940	—	×0.992	0.69%
Singles /BIP	28.00%	÷1.010	×0.930	×0.950	×0.992	24.30%
Doubles /BIP	13.33%	÷1.179	×0.830	×0.950	×0.992	8.85%
Triples /BIP	0.00%	÷1.000	×0.970	×0.950	×0.992	0.00%
Home runs /BIP	9.33%	÷0.939	×0.700	—	×0.992	6.90%

Factors used: league row International League. Park (home-season share, regressed): HR 88, 1B 102, 2B 136, 3B 100, K 103, BB 97 — 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 ×0.950.

Result: wOBA .421 → .319; ISO .265 → .189; BABIP .437 → .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).

2021 AAAWorcester Red Sox · 335 PAwOBA .395 → .313 (−83)K% 28.1% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.06%	÷1.021	×1.200	—	—	32.99%
BB% (unintentional) /PA	11.94%	÷1.008	×0.690	—	×1.003	8.20%
HBP% /PA	1.49%	—	×0.940	—	×1.003	1.41%
Singles /BIP	24.35%	÷0.974	×0.930	×1.009	×1.003	23.55%
Doubles /BIP	12.44%	÷0.992	×0.830	×1.009	×1.003	10.54%
Triples /BIP	1.04%	÷1.023	×0.920	×1.009	×1.003	0.94%
Home runs /BIP	6.74%	÷1.318	×0.700	—	×1.003	3.59%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 164, 1B 95, 2B 98, 3B 105, K 104, BB 102 — 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 ×1.009.

Result: wOBA .395 → .313; ISO .233 → .155; BABIP .406 → .363. 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 AAAEl Paso Chihuahuas · 51 PAwOBA .335 → .238 (−97)K% 37.3% → 49.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.25%	÷0.965	×1.290	—	—	49.79%
BB% (unintentional) /PA	7.84%	÷1.050	×0.710	—	×1.033	5.48%
HBP% /PA	1.96%	—	×0.980	—	×1.033	1.98%
Singles /BIP	14.81%	÷1.033	×0.900	—	×1.033	13.33%
Doubles /BIP	7.41%	÷1.044	×0.810	—	×1.033	5.94%
Triples /BIP	3.70%	÷0.900	×0.810	—	×1.033	3.44%
Home runs /BIP	11.11%	÷0.950	×0.780	—	×1.033	9.42%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 107, 2B 109, 3B 80, K 93, BB 110 — 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 .335 → .238; ISO .283 → .195; BABIP .292 → .251. 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 AAAEl Paso Chihuahuas · 31 PAwOBA .336 → .252 (−84)K% 32.3% → 42.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.26%	÷0.983	×1.290	—	—	42.34%
BB% (unintentional) /PA	12.90%	÷0.986	×0.710	—	×1.048	9.74%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	29.41%	÷1.032	×0.900	—	×1.048	26.89%
Doubles /BIP	5.88%	÷1.098	×0.810	—	×1.048	4.55%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.048	0.00%
Home runs /BIP	5.88%	÷1.045	×0.780	—	×1.048	4.60%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 106, 2B 120, 3B 130, K 97, BB 97 — 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 .336 → .252; ISO .148 → .101; BABIP .375 → .330. 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 AAAEl Paso Chihuahuas · 419 PAwOBA .404 → .318 (−86)K% 28.2% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.16%	÷1.005	×1.290	—	—	36.16%
BB% (unintentional) /PA	5.25%	÷0.921	×0.710	—	×1.050	4.25%
HBP% /PA	0.95%	—	×0.980	—	×1.050	0.98%
Singles /BIP	26.10%	÷1.040	×0.900	×1.025	×1.050	24.31%
Doubles /BIP	7.72%	÷0.983	×0.810	×1.025	×1.050	6.84%
Triples /BIP	6.62%	÷1.049	×0.810	×1.025	×1.050	5.50%
Home runs /BIP	6.25%	÷1.087	×0.780	—	×1.050	4.71%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 108, 2B 97, 3B 110, K 101, BB 84 — 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 ×1.025.

Result: wOBA .404 → .318; ISO .277 → .201; BABIP .431 → .385. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 A+Lake Elsinore Storm · 322 PAwOBA .337 → .279 (−58)K% 25.8% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.78%	÷1.016	×1.340	—	—	33.98%
BB% (unintentional) /PA	5.59%	÷1.036	×0.710	—	×1.012	3.88%
HBP% /PA	1.55%	—	×0.790	—	×1.012	1.24%
Singles /BIP	26.17%	÷0.999	×0.910	×1.050	×1.012	25.33%
Doubles /BIP	7.48%	÷1.036	×0.820	×1.050	×1.012	6.29%
Triples /BIP	3.74%	÷0.969	×0.760	×1.050	×1.012	3.11%
Home runs /BIP	2.34%	÷0.925	×0.920	—	×1.012	2.35%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 100, 2B 107, 3B 94, K 103, BB 107 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .337 → .279; ISO .158 → .129; BABIP .381 → .354. 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
#1John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#2Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#3Brian Hunter'91-'00 * career totals — 9 seasons, 1,742 PA	2.6	1,742	67	4	226*	288*	432*	-29	+4	0.1	0.8
/162	664	26	2	-11.1	+1.6	0.0	pk7: 1
#4Eric Anthony'89-'97 * career totals — 9 seasons, 2,243 PA	3.4	2,243	78	24	225*	300*	410*	-22	-22	0.1	0.6
/162	664	23	7	-6.7	-6.6	0.0	pk7: 1
#5Chad Pinderlast yr '22 career totals — 7 seasons, 1,740 PA	2.6	1,740	62	5	242	294	417	-17	-20	0.6	0.6
/162	664	24	2	-6.5	-7.6	0.2	pk7: 1
#6Karim Garcia'95-'04 * career totals — 6 seasons, 1,560 PA	2.3	1,560	66	10	231*	269*	413*	-16	-3	-1.0	0.1
/162	664	28	4	-6.7	-1.3	-0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	1.3	894	28	14	218	279	386	-16	-12	-0.5	-0.5
/162	664	21	10	-11.6	-8.6	-0.4	pk7: -0

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
Franchy Cordero (OGILVIE)	32	40	45	45	45	228/291/355	127	298	3	3	27%	7%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sherman Johnson 2021 · AAA	31	42→49	43→45	46→50	45	208/273/316	109	285	10	10	30%	8%	68	-1.0	200/286/307	107	285	9	9	30%	9%	71	-0.8	156/262/243	88	226	7	5	31%	11%	46	-1.2
✕Jorge Guzman 2016 · AAA	32	43→50	44→55	44→40	42	218/267/328	110	280	12	5	27%	6%	68	-1.0	216/273/310	94	276	9	9	24%	7%	65	-1.2	182/238/216	34	230	3	4	21%	6%	32	-0.8
✕Jason Conti 2006 · MLB	31	42→40	45	44→50	40	210/259/331	121	279	13	6	29%	6%	65	-1.2	217/267/328	111	286	11	8	27%	6%	68	-1.0	205/249/275	71	267	7	5	25%	5%	47	-0.8
✕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
✕Baltazar Lopez 2016 · AAA	32	43	44→50	47→45	36	209/259/326	116	315	12	6	36%	5%	64	-1.3	226/296/321	95	349	9	9	35%	8%	77	-0.3	237/326/270	33	383	3	4	34%	10%	79	-0.0
✕Jon Weber 2010 · AAA	32	48→53	47→50	41→50	45	237/292/381	144	291	14	8	23%	7%	89	+0.5	227/283/339	112	282	9	10	22%	7%	76	-0.4	214/266/283	69	264	2	10	19%	6%	53	-0.9
✕Mario Lisson 2016 · AAA	32	46→49	46→50	48→55	43	229/286/350	120	286	15	9	25%	6%	80	-0.2	213/281/336	123	284	13	8	28%	8%	75	-0.5	195/272/320	125	261	14	6	29%	8%	66	-0.7
✕James Adduci 2017 · MLB	32	45→55	45	51→60	46	226/287/349	123	287	13	14	25%	8%	80	-0.2	238/280/359	121	318	11	13	27%	6%	79	-0.2	236/272/353	117	312	11	12	27%	5%	73	-0.4
✕Matt Clark 2019 · AAA	32	44→45	50→55	44→30	42	226/277/379	153	288	19	5	28%	6%	84	+0.1	233/294/419	186	283	23	6	26%	7%	99	+1.3	220/286/429	209	251	27	0	25%	8%	100	+0.7
✕Victor Mendez 2011 · AAA	31	46	44→45	46→50	45	226/285/342	117	291	12	11	26%	7%	78	-0.3	244/320/380	136	316	15	14	25%	10%	99	+1.3	263/359/406	143	329	18	20	24%	13%	117	+0.4
✕Cory Aldridge 2009 · AAA	30	44→47	45→55	43→45	45	220/280/351	131	291	12	7	28%	8%	78	-0.3	233/280/395	162	307	19	4	30%	6%	88	+0.5	205/268/370	165	274	26	5	35%	8%	78	-0.2
✕Brad Snyder 2014 · AAA	32	48→51	47→55	44→50	38	234/280/372	137	336	14	12	34%	6%	82	+0.0	228/281/389	161	326	20	9	35%	7%	87	+0.4	208/267/384	176	279	25	3	34%	7%	79	-0.1
✕Ryan Fitzgerald 2024 · AAA	30	38→48	48→50	46→45	42	198/260/344	146	262	14	9	30%	7%	69	-0.9	216/277/347	131	281	13	9	27%	7%	76	-0.4	227/285/352	125	285	12	9	24%	6%	78	-0.2
✕Preston Tucker 2023 · AAA	33	45→47	45→55	48→40	46	226/286/349	122	264	13	6	20%	6%	80	-0.2	237/317/389	152	287	16	7	22%	9%	101	+1.4	236/340/418	182	283	18	2	22%	12%	113	+0.9
✕Mark Payton 2024 · MLB	32	46→51	46→55	50	48	228/285/361	133	262	12	13	19%	7%	82	-0.0	238/291/355	117	292	10	9	21%	7%	82	+0.0	243/295/350	107	298	8	5	20%	7%	80	-0.1
✕Dee Brown 2009 · AAA	31	46→49	45→50	48→45	47	228/284/348	120	261	13	7	18%	6%	78	-0.3	231/292/379	148	262	16	11	18%	8%	89	+0.5	227/292/397	169	250	19	10	18%	8%	91	+0.5
✕Daniel Palka 2023 · AAA	31	42→43	51→55	44→50	45	219/280/375	156	275	20	4	28%	8%	84	+0.1	211/266/349	138	275	17	6	29%	7%	72	-0.7	185/238/306	121	238	16	4	29%	6%	49	-1.7
✕Rafael Alvarez 2007 · AAA	30	47	45	49→45	44	233/288/360	127	305	13	6	27%	7%	82	+0.0	233/305/339	106	325	9	9	28%	9%	84	+0.2	237/330/328	91	336	5	10	27%	12%	89	+0.2
✕Jesus Cota 2015 · AAA	33	41→51	45→50	49→50	44	208/259/323	116	251	13	7	23%	6%	63	-1.3	213/265/324	111	283	12	8	28%	6%	65	-1.2	175/218/243	68	234	10	0	29%	5%	29	-1.0
✕Abraham M. Nunez 2008 · AAA	31	45	49→50	41→45	43	228/280/373	145	290	17	7	27%	6%	83	+0.1	229/291/359	130	287	14	8	24%	7%	84	+0.1	211/299/297	85	250	6	4	17%	10%	72	-0.2

Franchy Cordero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps