Yonny Hernández

3B Syracuse Mets

Age 29 S/R 5'8" / 140 lbs AAA H -5% Svc 6.000 · 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	26	AAA/INTL2 orgs	438	.253/.345/.319	2	17	75	—	.232/.300/.294
2025	27	AAA/AA/INTL2 orgs	599	.319/.399/.403	4	17	115	—	.291/.345/.352
2026	28	AAA/INTL2 orgs	321	.320/.409/.393	2	19	109	—	.289/.360/.349
2027PROJ10% MLB	29	MLBNYM	21	.238/.306/.316	0	1	83	0.0
2028PROJ33% MLB	30	MLBNYM	75	.236/.303/.309	1	2	80	-0.1

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service6.000First FA2028

2027Ext / FA-deal$3M

Skills · percentileStatcast 2021-2023

xwOBA21

Speed12

Barrel%10

Avg EV10

Bat Spd10

CompsIrving Falu (age 29) · Walter Ibarra (age 29) · Niuman Romero (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†83

AVG/OBP/SLG.238 / .306 / .316

PA21

HR0

K%14

BB%10

BABIP276

ISO53

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 60 / POW 30

Toolsscout grade · Statcast %ile · 2021-2023

CONTACT60

xAVG

190.226

POWER30

Barrel%

100.7

Avg EV

1083.5

Bat Spd

1064.9

EYE45

scouting grade only

SPEED50

Sprint

1225.6

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

Status FA

MLB Debut 2021

Service 6.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$3M	+0.0	$0.2M	-$3M
Totals		$3M		$0.2M	-$3M

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)
2015	17	ROK	DSL Rangers 1	—	186	150	35	4	1	0	26	30	6	5	8	233	368	273	641	40	289	16	14	303	34	—	—	—	—	—	—
2016	18	ROK	DSL Rangers 1	—	272	215	63	4	6	0	37	22	6	32	9	293	411	367	778	74	317	8	14	342	56	—	—	—	—	—	—
2017	19	ROK	AZL Rangers	—	146	117	27	7	0	0	24	11	3	13	2	231	375	291	666	60	250	8	16	315	51	—	—	—	—	—	—
2017	19	INTL	Tiburones de La Guaira	—	18	13	6	1	1	0	4	0	0	1	1	462	588	692	1.281	231	462	0	22	517	236	—	—	—	—	—	—
2018	20	AA	Frisco RoughRiders	—	16	11	3	0	0	0	4	3	0	2	0	273	467	273	739		333	19	25	344	109	—	—	—	—	—	—
2018	20	A	Hickory Crawdads	—	443	361	94	12	3	2	58	65	7	44	15	260	373	327	700	66	311	15	13	315	79	—	—	—	—	—	—
2019	21	AA	Frisco RoughRiders	—	206	170	47	5	2	0	30	25	3	16	4	276	394	329	724	53	324	12	15	335	85	—	—	—	—	—	—
2019	21	A+	Down East Wood Ducks	—	309	245	73	6	1	0	48	47	9	17	14	298	430	331	761	33	363	15	16	353	81	—	—	—	—	—	—
2019	21	INTL	Auckland Tuatara	—	106	83	19	3	0	0	19	16	2	8	2	229	385	265	650	36	284	15	18	312	97	—	—	—	—	—	—
2021	23	MLB	Texas Rangers	—	166	143	31	5	0	0	17	32	4	11	2	217	317	252	569	35	277	19	10	270	68	-6	+1	+1	+1	+4	0.1
2021	23	AAA	Round Rock Express	—	251	192	48	7	2	1	51	44	7	21	10	250	424	323	747	73	320	18	20	356	105	—	—	—	—	—	—
2022	24	MLB	Arizona Diamondbacks	—	28	24	2	0	0	0	2	4	0	2	0	83	154	83	237		100	14	7	114	-37	-5	+0	-0	+1	+1	-0.3
2022	24	AAA	Reno Aces	—	298	253	61	6	6	1	35	47	7	30	5	241	349	324	673	83	293	16	12	310	74	—	—	—	—	—	—
2023	25	MLB	Los Angeles Dodgers	—	27	22	3	1	0	0	2	8	1	0	0	136	240	182	422	45	200	30	7	193	21	-3	+0	-0	+2	+1	-0.0
2023	25	AAA	Oklahoma City Dodgers	—	407	322	81	13	2	4	75	81	4	17	12	252	399	342	741	90	320	20	18	343	86	—	—	—	—	—	—
2023	25	INTL	Tigres de Aragua	—	62	49	2	1	0	0	7	15	3	3	0	41	203	61	265	20	56	24	11	150	-13	—	—	—	—	—	—
2024	26	AAA	Nashville Sounds	—	322	278	67	7	3	2	35	57	4	13	8	241	334	309	644	68	295	18	11	295	63	—	—	—	—	—	—
2024	26	INTL	Cardenales de Lara	—	116	101	29	6	0	0	10	8	4	4	3	287	374	347	720	59	312	7	9	331	110	—	—	—	—	—	—
2025	27	AAA	Syracuse Mets	—	361	314	102	16	3	1	35	35	7	8	3	325	404	404	809	80	363	10	10	364	107	—	—	—	—	—	—
2025	27	AA	Binghamton Rumble Ponies	—	56	52	9	0	0	0	3	4	0	2	2	173	218	173	391		188	7	5	183	3	—	—	—	—	—	—
2025	27	INTL	Cardenales de Lara	—	182	157	56	6	2	3	21	17	3	7	3	357	442	478	920	121	387	9	12	411	164	—	—	—	—	—	—
2026	28	AAA	Syracuse Mets	—	268	226	69	12	0	2	30	33	5	11	2	305	398	385	783	80	345	12	11	351	99	—	—	—	—	—	—
2026	28	INTL	Cardenales de Lara	—	53	46	18	0	1	0	3	4	3	8	2	391	462	435	896	43	419	8	6	402	158	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	221	189	36	6	0	0	21	44	5	13	2	190	288	222	511	32	245	20	10	241	49	-13	+2	+1	+4	+5	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	17	ROK MLE	DSL Rangers 1	—	186	157	27	3	1	0	19	37	6	5	8	172	286	204	490	32	205	20	10	218	34	—	—	—	—	—	—
2016	18	ROK MLE	DSL Rangers 1	—	272	226	48	3	4	0	26	27	6	32	9	212	310	261	571	49	215	10	10	251	56	—	—	—	—	—	—
2017	19	ROK MLE	AZL Rangers	—	146	126	24	6	0	0	15	16	3	13	2	190	292	238	530	48	209	11	10	244	51	—	—	—	—	—	—
2018	20	AA MLE	Frisco RoughRiders	—	16	12	3	0	0	0	3	4	0	2	0	250	400	250	650		330	25	19	329	109	—	—	—	—	—	—
2018	20	A MLE	Hickory Crawdads	—	443	380	96	12	3	1	39	92	7	44	15	253	333	308	641	55	312	21	9	285	79	—	—	—	—	—	—
2019	21	AA MLE	Frisco RoughRiders	—	206	179	46	5	2	0	21	31	3	16	4	257	345	307	652	50	306	15	10	294	85	—	—	—	—	—	—
2019	21	A+ MLE	Down East Wood Ducks	—	309	261	66	5	1	0	32	67	9	17	14	253	354	280	634	27	320	22	10	288	81	—	—	—	—	—	—
2021	23	MLB MLE	Texas Rangers	—	166	143	31	5	0	0	17	32	4	11	2	217	317	252	569	35	277	19	10	269	68	-6	+1	+1	+1	+4	0.1
2021	23	AAA MLE	Round Rock Express	—	251	205	51	7	2	1	38	49	7	21	10	249	384	317	701	68	324	20	15	324	105	—	—	—	—	—	—
2022	24	MLB MLE	Arizona Diamondbacks	—	28	24	2	0	0	0	2	4	0	2	0	83	154	83	237		100	14	7	114	-37	-5	+0	-0	+1	+1	-0.3
2022	24	AAA MLE	Reno Aces	—	298	263	62	6	6	1	25	56	7	30	5	236	319	316	634	80	289	19	8	278	74	—	—	—	—	—	—
2023	25	MLB MLE	Los Angeles Dodgers	—	27	22	3	1	0	0	2	8	1	0	0	136	240	182	422	45	200	30	7	199	21	-3	+0	-0	+2	+1	-0.0
2023	25	AAA MLE	Oklahoma City Dodgers	—	407	343	79	12	2	3	54	97	4	17	12	230	342	303	645	73	301	24	13	296	86	—	—	—	—	—	—
2024	26	AAA MLE	Nashville Sounds	—	322	289	67	6	3	2	24	70	4	13	8	232	300	294	594	62	290	22	7	261	63	—	—	—	—	—	—
2025	27	AAA MLE	Syracuse Mets	—	361	326	101	14	3	1	23	43	7	8	3	310	368	380	748	71	348	12	6	327	107	—	—	—	—	—	—
2025	27	AA MLE	Binghamton Rumble Ponies	—	56	53	9	0	0	0	2	5	0	2	2	170	200	170	370		190	9	4	173	3	—	—	—	—	—	—
2026	28	AAA MLE	Syracuse Mets	—	268	235	68	11	0	1	21	40	5	11	2	289	360	349	709	60	327	15	8	315	99	—	—	—	—	—	—
2015	17	ROK MLE	DSL Rangers 1	—	186	157	27	3	1	0	19	37	6	5	8	172	286	204	490	32	223	20	10	218	34	—	—	—	—	—	—
2015	17	ROK RAW	DSL Rangers 1	—	186	150	35	4	1	0	26	30	6	5	8	233	368	273	641	40	289	16	14	303	34	—	—	—	—	—	—
2016	18	ROK MLE	DSL Rangers 1	—	272	226	48	3	4	0	26	27	6	32	9	212	310	261	571	49	234	10	10	251	56	—	—	—	—	—	—
2016	18	ROK RAW	DSL Rangers 1	—	272	215	63	4	6	0	37	22	6	32	9	293	411	367	778	74	317	8	14	342	56	—	—	—	—	—	—
2017	19	ROK MLE	2 teams	—	164	141	27	6	0	0	17	18	3	14	3	191	292	234	526	43	216	11	10	244	51	—	—	—	—	—	—
2017	19	ROK RAW	2 teams	—	164	130	33	8	1	0	28	11	3	14	3	254	398	331	728	77	273	7	17	337	51	—	—	—	—	—	—
2018	20	A MLE	2 teams	—	459	392	99	12	3	1	42	96	7	46	15	253	336	306	642	54	329	21	9	287	80	—	—	—	—	—	—
2018	20	A RAW	2 teams	—	459	372	97	12	3	2	62	68	7	46	15	261	376	325	702	65	311	15	14	316	80	—	—	—	—	—	—
2019	21	A+ MLE	3 teams	—	621	531	135	12	4	0	64	118	14	41	20	254	350	292	642	38	325	19	10	290	83	—	—	—	—	—	—
2019	21	A+ RAW	3 teams	—	621	498	139	14	3	0	97	88	14	41	20	279	411	319	730	40	337	14	16	340	83	—	—	—	—	—	—
2021	23	AAA MLE	2 teams	—	417	348	83	13	2	1	55	81	11	32	12	239	360	296	656	57	307	19	13	302	91	—	—	—	—	—	—
2021	23	AAA RAW	2 teams	—	417	335	79	12	2	1	68	76	11	32	12	236	382	293	674	57	301	18	16	322	91	—	—	—	—	—	—
2022	24	AAA MLE	2 teams	—	326	287	64	6	6	1	27	60	7	32	5	223	305	296	601	73	279	18	8	264	65	—	—	—	—	—	—
2022	24	AAA RAW	2 teams	—	326	277	63	6	6	1	37	51	7	32	5	227	333	303	637	76	276	16	11	294	65	—	—	—	—	—	—
2023	25	AAA MLE	3 teams	—	496	413	93	15	2	3	64	120	8	20	12	225	340	293	633	68	303	24	13	290	82	—	—	—	—	—	—
2023	25	AAA RAW	3 teams	—	496	393	86	15	2	4	84	104	8	20	12	219	367	298	665	79	281	21	17	311	82	—	—	—	—	—	—
2024	26	AAA MLE	2 teams	—	438	391	90	8	4	2	33	95	8	17	11	230	303	286	590	56	298	22	8	261	63	—	—	—	—	—	—
2024	26	AAA RAW	2 teams	—	438	379	96	13	3	2	45	65	8	17	11	253	345	319	664	66	300	15	10	305	63	—	—	—	—	—	—
2025	27	AAA MLE	3 teams	—	599	545	159	20	5	1	37	69	10	17	8	292	348	352	700	61	333	12	6	306	93	—	—	—	—	—	—
2025	27	AAA RAW	3 teams	—	599	523	167	22	5	4	59	56	10	17	8	319	399	403	802	84	352	9	10	361	93	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	321	280	82	13	0	2	25	48	8	19	4	293	367	361	728	68	342	15	8	315	99	—	—	—	—	—	—
2026	28	AAA RAW	2 teams	—	321	272	87	12	1	2	33	37	8	19	4	320	409	393	802	74	359	12	10	359	99	—	—	—	—	—	—
2015	17	ROK MLE	DSL Rangers 1	—	186	159	27	3	1	0	19	37	6	5	8	170	286	201	487	31	205	20	10	218	34	—	—	—	—	—	—
2016	18	ROK MLE	DSL Rangers 1	—	272	238	48	3	4	0	26	27	6	32	9	202	310	248	558	46	215	10	10	251	56	—	—	—	—	—	—
2017	19	ROK MLE	2 teams	—	164	143	27	6	0	0	17	18	3	14	3	189	292	231	523	42	209	11	10	244	51	—	—	—	—	—	—
2018	20	A MLE	2 teams	—	459	407	99	12	3	1	42	96	7	46	15	243	336	295	630	52	313	21	9	287	80	—	—	—	—	—	—
2019	21	A+ MLE	3 teams	—	621	538	135	12	4	0	64	118	14	41	20	251	350	288	638	37	314	19	10	290	83	—	—	—	—	—	—
2021	23	AAA MLE	2 teams	—	417	348	83	13	2	1	55	81	11	32	12	239	360	296	656	57	305	19	13	302	91	—	—	—	—	—	—
2022	24	AAA MLE	2 teams	—	326	289	64	6	6	1	27	60	7	32	5	221	305	294	599	73	273	18	8	264	65	—	—	—	—	—	—
2023	25	AAA MLE	3 teams	—	496	421	93	15	2	3	64	120	8	20	12	221	340	287	628	67	295	24	13	290	82	—	—	—	—	—	—
2024	26	AAA MLE	2 teams	—	438	394	90	8	4	2	33	95	8	17	11	228	303	284	588	56	290	22	8	261	63	—	—	—	—	—	—
2025	27	AAA MLE	3 teams	—	599	547	159	20	5	1	37	69	10	17	8	291	348	351	699	60	327	12	6	306	93	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	321	285	82	13	0	2	25	48	8	19	4	288	367	354	722	67	327	15	8	315	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	AAA MLE	2 teams	—	438	394	90	8	4	2	33	95	8	17	11	228	303	284	588	56	290	22	8	261	63	—	—	—	—	—	—
2025	27	AAA MLE	3 teams	—	599	547	159	20	5	1	37	69	10	17	8	291	348	351	699	60	327	12	6	306	93	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	321	285	82	13	0	2	25	48	8	19	4	288	367	354	722	67	327	15	8	315	99	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	29	MLB MLE	NYM	10%	318	287	70	11	1	3	23	50	5	8	3	246	312	326	639	81	285	16	7	291	83	-7	+0	-0	+1	+7	0.4
▸ 2027 — real world (MLB)
2027	29	MLB CTX	NYM	10%	21	19	5	1	0	0	2	3	0	1	0	238	306	316	622	78	276	14	10	284	83	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	30	MLB MLE	NYM	33%	228	206	50	8	1	2	17	36	3	5	2	243	309	319	628	76	284	16	7	286	80	-5	+0	-2	+1	+5	-0.2
2028	30	MLB CTX	NYM	33%	75	69	16	2	0	1	5	12	1	2	1	236	303	309	612	73	275	16	7	279	80	-2	+0	-1	+0	+2	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	296	258	52	8	0	1	26	56	6	15	3	202	290	244	534	43	251	19	9	250	78	-15	+2	-0	+5	+6	-0.2
/ 162G	—	A+C		—	650	567	114	18	0	2	57	123	13	33	7	201	289	243	532	42	251	19	9	250	78	-33	+4	-0	+10	+14	-0.5
Career	—	MLE		—	4735	4105	1003	126	33	15	441	837	94	286	111	244	331	302	634	58	301	18	9	283	78	-23	+2	-2	+6	+14	-0.2
/ 162G	—	MLE		—	650	564	138	17	5	2	61	115	13	39	15	245	333	303	636	59	302	18	9	283	78	-23	+2	-2	+6	+14	-0.2

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 AAASyracuse Mets · 268 PAwOBA .346 → .315 (−31)K% 12.3% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.31%	÷1.000	×1.200	—	—	14.78%
BB% (unintentional) /PA	11.19%	÷1.000	×0.690	—	×0.992	7.66%
HBP% /PA	1.87%	—	×0.940	—	×0.992	1.74%
Singles /BIP	28.50%	÷1.000	×0.930	×1.050	×0.992	27.61%
Doubles /BIP	6.22%	÷1.000	×0.830	×1.050	×0.992	5.38%
Triples /BIP	0.00%	÷1.000	×0.970	×1.050	×0.992	0.00%
Home runs /BIP	1.04%	÷1.000	×0.700	—	×0.992	0.72%

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 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 ×1.050.

Result: wOBA .346 → .315; ISO .080 → .068; BABIP .345 → .327. 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 AAASyracuse Mets · 361 PAwOBA .354 → .327 (−27)K% 9.7% → 11.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.70%	÷0.981	×1.200	—	—	11.86%
BB% (unintentional) /PA	9.42%	÷1.005	×0.690	—	×1.003	6.48%
HBP% /PA	1.94%	—	×0.940	—	×1.003	1.83%
Singles /BIP	29.39%	÷0.975	×0.930	×1.026	×1.003	28.84%
Doubles /BIP	5.73%	÷1.022	×0.830	×1.026	×1.003	4.79%
Triples /BIP	1.08%	÷0.959	×0.970	×1.026	×1.003	1.12%
Home runs /BIP	0.36%	÷1.167	×0.700	—	×1.003	0.22%

Factors used: league row International League. Park (home-season share, regressed): HR 133, 1B 95, 2B 104, 3B 92, K 96, BB 101 — 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 ×1.026.

Result: wOBA .354 → .327; ISO .080 → .070; BABIP .363 → .348. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AABinghamton Rumble Ponies · 56 PAwOBA .178 → .173 (−6)K% 7.1% → 8.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.14%	÷1.015	×1.220	—	—	8.58%
BB% (unintentional) /PA	5.36%	÷0.983	×0.700	—	×0.978	3.73%
HBP% /PA	0.00%	—	×0.850	—	×0.978	0.00%
Singles /BIP	18.75%	÷0.982	×0.970	×1.050	×0.978	19.03%
Doubles /BIP	0.00%	÷0.941	×0.860	×1.050	×0.978	0.00%
Triples /BIP	0.00%	÷0.911	×0.950	×1.050	×0.978	0.00%
Home runs /BIP	0.00%	÷0.990	×0.780	—	×0.978	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 96, 2B 88, 3B 82, K 103, BB 97 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .178 → .173; ISO .000 → .000; BABIP .188 → .190. 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 AAANashville Sounds · 322 PAwOBA .289 → .261 (−28)K% 17.7% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.70%	÷0.983	×1.200	—	—	21.61%
BB% (unintentional) /PA	10.87%	÷1.014	×0.690	—	×1.018	7.53%
HBP% /PA	1.24%	—	×0.940	—	×1.018	1.19%
Singles /BIP	24.89%	÷0.951	×0.930	×1.012	×1.018	25.05%
Doubles /BIP	3.17%	÷1.010	×0.830	×1.012	×1.018	2.68%
Triples /BIP	1.36%	÷1.150	×0.970	×1.012	×1.018	1.18%
Home runs /BIP	0.90%	÷0.909	×0.700	—	×1.018	0.71%

Factors used: league row International League. Park (home-season share, regressed): HR 82, 1B 90, 2B 102, 3B 130, K 97, BB 103 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .289 → .261; ISO .068 → .058; BABIP .295 → .290. 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 AAAOklahoma City Dodgers · 407 PAwOBA .338 → .296 (−42)K% 19.9% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.90%	÷1.003	×1.200	—	—	23.81%
BB% (unintentional) /PA	18.18%	÷0.976	×0.690	—	×1.033	13.28%
HBP% /PA	0.98%	—	×0.940	—	×1.033	0.95%
Singles /BIP	25.73%	÷1.021	×0.930	×1.020	×1.033	24.70%
Doubles /BIP	5.39%	÷0.983	×0.830	×1.020	×1.033	4.80%
Triples /BIP	0.83%	÷1.150	×0.970	×1.020	×1.033	0.74%
Home runs /BIP	1.66%	÷1.006	×0.700	—	×1.033	1.19%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 104, 2B 97, 3B 130, K 101, BB 95 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .338 → .296; ISO .090 → .077; BABIP .320 → .301. 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 AAAReno Aces · 298 PAwOBA .303 → .278 (−25)K% 15.8% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.77%	÷1.004	×1.200	—	—	18.85%
BB% (unintentional) /PA	11.74%	÷1.020	×0.690	—	×1.048	8.33%
HBP% /PA	2.35%	—	×0.940	—	×1.048	2.31%
Singles /BIP	23.30%	÷1.025	×0.930	×1.050	×1.048	23.27%
Doubles /BIP	2.91%	÷0.996	×0.830	×1.050	×1.048	2.67%
Triples /BIP	2.91%	÷1.100	×0.970	×1.050	×1.048	2.83%
Home runs /BIP	0.49%	÷0.965	×0.700	—	×1.048	0.37%

Factors used: league row International League. Park (home-season share, regressed): HR 93, 1B 105, 2B 99, 3B 120, K 101, BB 104 — 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 ×1.050.

Result: wOBA .303 → .278; ISO .083 → .078; BABIP .293 → .289. 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 AAARound Rock Express · 251 PAwOBA .349 → .324 (−25)K% 17.5% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.53%	÷1.072	×1.200	—	—	19.62%
BB% (unintentional) /PA	20.32%	÷0.975	×0.690	—	×1.050	15.10%
HBP% /PA	2.79%	—	×0.940	—	×1.050	2.75%
Singles /BIP	25.68%	÷0.999	×0.930	×1.050	×1.050	26.35%
Doubles /BIP	4.73%	÷0.915	×0.830	×1.050	×1.050	4.73%
Triples /BIP	1.35%	÷1.150	×0.920	×1.050	×1.050	1.19%
Home runs /BIP	0.68%	÷0.958	×0.700	—	×1.050	0.52%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 100, 2B 83, 3B 130, K 114, BB 95 — 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 ×1.050.

Result: wOBA .349 → .324; ISO .073 → .071; BABIP .320 → .324. 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 A+Down East Wood Ducks · 309 PAwOBA .349 → .288 (−61)K% 15.2% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.21%	÷1.002	×1.420	—	—	21.56%
BB% (unintentional) /PA	15.53%	÷0.985	×0.630	—	×1.027	10.20%
HBP% /PA	2.91%	—	×0.860	—	×1.027	2.57%
Singles /BIP	33.33%	÷1.038	×0.940	×0.950	×1.027	29.45%
Doubles /BIP	3.03%	÷0.939	×0.830	×0.950	×1.027	2.61%
Triples /BIP	0.51%	÷0.900	×0.800	×0.950	×1.027	0.44%
Home runs /BIP	0.00%	÷1.152	×0.900	—	×1.027	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 130, 1B 108, 2B 88, 3B 80, K 100, BB 97 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .349 → .288; ISO .033 → .029; BABIP .363 → .320. 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
#1Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#2Chris Getzlast yr '13 career totals — 5 seasons, 1,539 PA	2.3	1,539	3	86	251	310	309	+5	+12	2.7	2.7
/162	664	1	37	+2.4	+5.1	1.2	pk7: 3
#3Wayne Tolleson'81-'90 * career totals — 9 seasons, 2,613 PA	3.9	2,613	9	108	237*	307*	304*	+16	+5	0.4	1.9
/162	664	2	27	+4.0	+1.2	0.1	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.4	261	1	13	227	311	278	+1	+0	0.2	0.2
/162	664	2	33	+3.7	+1.0	0.4	pk7: 0
#4Pat Listach'92-'97 * career totals — 6 seasons, 1,991 PA	3.0	1,991	5	116	243*	307*	314*	+16	-7	0.1	0.1
/162	664	2	39	+5.4	-2.2	0.0	pk7: 0
#5Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1
#6Al Newman'85-'92 * career totals — 7 seasons, 2,409 PA	3.6	2,409	1	91	225*	304*	284*	+12	-16	-5.3	-4.3
/162	664	0	25	+3.3	-4.5	-1.5	pk7: -3

Career Path Comps

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

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Yonny Hernández (OGILVIE)	29	60	30	50	45	244/310/323	80	285	2	6	16%	7%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Irving Falu 2012 · AAA	29	55→62	36→40	53→55	49	258/298/325	67	289	3	17	12%	6%	77	-0.3	256/294/337	81	290	4	19	13%	5%	78	-0.3	251/289/337	86	274	7	13	11%	5%	74	-0.4
✕Walter Ibarra 2017 · AAA	29	56→61	39→40	49→50	41	266/292/352	86	317	6	13	18%	4%	80	-0.1	238/274/318	80	311	5	9	24%	5%	66	-1.1	221/263/282	60	305	3	6	27%	5%	53	-1.2
●Niuman Romero 2014 · AAA	29	53→63	38→40	48→50	49	253/306/336	83	301	5	11	17%	7%	83	+0.1	263/322/338	75	315	4	7	16%	8%	89	+0.5	267/329/331	63	320	3	4	16%	8%	89	+0.3
✕Isiah Kiner-Falefa 2024 · MLB	29	53→58	40	52→55	49	253/307/341	88	291	8	21	16%	6%	85	+0.2	255/302/350	95	298	8	18	17%	5%	85	+0.2	256/301/341	85	300	6	19	16%	5%	83	+0.1
✕Shawn O'Malley 2017 · MLB	29	53→58	40	56→60	47	251/312/351	100	312	7	21	21%	7%	89	+0.5	227/283/326	99	290	8	12	23%	6%	73	-0.6	210/260/288	78	269	6	6	23%	5%	52	-0.6
✕Elian Herrera 2014 · MLB	29	51→57	39→40	53→60	46	243/302/331	88	312	6	18	23%	7%	81	-0.1	245/289/342	97	315	7	12	23%	6%	78	-0.3	247/287/342	95	319	6	10	23%	5%	75	-0.2
✕Gustavo Nunez 2017 · AAA	29	53→58	36→40	47→55	45	248/290/312	64	296	4	18	18%	5%	71	-0.8	237/277/312	75	287	5	15	18%	5%	66	-1.1	245/272/297	52	294	1	14	17%	4%	58	-0.8
✕Alden Carrithers 2014 · AAA	29	53→59	37→30	53→55	54	249/315/324	75	280	4	20	13%	8%	84	+0.1	241/311/310	69	277	4	16	14%	8%	80	-0.2	246/319/294	48	282	2	15	12%	9%	76	-0.2
✕Anderson Hernandez 2012 · MLB	29	51→61	38→40	47→55	47	244/292/322	79	290	5	15	18%	6%	74	-0.5	240/281/331	91	282	8	13	17%	5%	72	-0.7	249/282/342	93	289	6	11	16%	4%	73	-0.4
✕Will Rhymes 2012 · MLB	29	56→61	38→40	51→55	52	264/316/349	85	294	4	16	12%	7%	90	+0.6	241/297/325	84	266	6	9	11%	7%	77	-0.3	228/284/308	80	250	5	6	11%	7%	67	-0.8
✕Alejo Lopez 2024 · MLB	28	55→62	39→40	51→55	53	260/329/354	93	301	6	13	15%	8%	96	+1.0	255/323/336	81	301	5	18	16%	7%	90	+0.6	258/325/328	70	302	4	19	15%	7%	85	+0.2
✕Nick Punto 2007 · MLB	29	55→60	38→40	53→55	54	259/324/350	91	304	4	18	16%	9%	93	+0.8	241/314/321	80	289	3	19	16%	10%	83	+0.1	243/328/321	79	300	3	9	18%	11%	91	+0.3
✕Andrew Romine 2015 · MLB	29	50→55	38→40	53→55	46	239/291/311	72	296	5	20	21%	6%	72	-0.7	238/294/325	87	297	7	20	21%	6%	76	-0.4	239/296/327	88	295	7	19	20%	6%	78	-0.1
✕Richy Pedroza 2019 · AAA	28	49→54	37→30	46→50	52	229/298/300	71	275	4	15	18%	8%	72	-0.7	242/319/331	89	292	5	19	17%	10%	87	+0.4	249/333/325	77	299	2	23	16%	11%	88	+0.4
✕Jonathan Herrera 2014 · MLB	29	51→59	39→40	46→55	49	245/293/326	81	272	7	9	13%	6%	76	-0.4	237/282/328	91	280	7	9	17%	5%	72	-0.7	231/266/307	76	287	4	10	20%	4%	61	-0.4
✕Roman Gonzalez 2006 · AAA	29	54→63	37→30	49→50	45	256/302/330	73	312	4	9	19%	5%	80	-0.2	264/305/329	65	300	2	11	12%	4%	80	-0.1	269/305/324	55	306	0	12	12%	4%	76	-0.3
✕Aaron Miles 2006 · MLB	29	57→65	39→40	48→45	46	269/302/350	81	292	6	10	11%	4%	84	+0.2	272/312/352	80	297	5	5	10%	5%	88	+0.5	281/323/354	73	306	4	3	9%	6%	93	+0.6
✕Alejandro Machado 2010 · AAA	28	52→62	39→40	52→55	47	245/297/339	94	287	6	19	17%	6%	80	-0.1	227/289/319	92	271	7	11	18%	7%	74	-0.6	219/284/280	62	257	5	4	16%	8%	62	-0.5
✕Gregorio Vazquez 2008 · AAA	29	53→56	36→40	49→55	49	246/303/316	70	283	3	17	14%	6%	78	-0.3	240/286/309	69	271	3	16	12%	5%	69	-0.9	236/279/291	55	262	1	14	10%	5%	60	-1.1
✕Guilder Rodriguez 2012 · AAA	29	52→54	33→30	51→55	49	241/292/284	43	281	1	16	14%	6%	65	-1.2	224/276/261	37	264	2	17	15%	7%	55	-2.0	221/275/247	26	263	0	16	15%	7%	48	-1.3

Yonny Hernández

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps