Dyron Campos

PosOF

B/TR/R

Born2000-12-26

Age (2027)26

No MLB projection yet. Career stats below are historical.

Overview

ALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	20	ROKDSL Mets 2	118	.233/.319/.330	2	2	9	—	.142/.216/.189
2022	21	ROKNYM	198	.266/.333/.475	7	6	32	—	.158/.210/.273
2023	22	A/ROKNYM	196	.184/.255/.318	5	8	0	—	.127/.189/.209

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 A

Speed93

Max EV55

Z-Con%50

K%37

Whiff%36

BB%6

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)
2019	18	ROK	DSL Mets 2	—	299	266	78	14	4	1	25	41	3	13	15	293	361	387	748	94	344	14	8	333	27	—	—	—	—	—	—
2021	20	ROK	DSL Mets 2	—	118	103	24	4	0	2	11	22	2	2	4	233	319	330	649	97	272	19	9	294	9	—	—	—	—	—	—
2022	21	ROK	FCL Mets	—	198	177	47	10	3	7	16	48	2	6	1	266	333	475	808	209	320	24	8	350	32	—	—	—	—	—	—
2023	22	A	St. Lucie Mets	—	172	159	29	4	2	5	7	48	6	6	1	182	244	327	571	145	226	28	4	258	0	—	—	—	—	—	—
2023	22	ROK	FCL Mets	—	24	20	4	1	0	0	3	7	1	2	0	200	333	250	583	50	308	29	12	284	4	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	18	ROK MLE	DSL Mets 2	—	299	274	49	8	2	0	17	50	3	13	15	179	235	223	457	44	214	17	6	208	27	—	—	—	—	—	—
2021	20	ROK MLE	DSL Mets 2	—	118	106	15	2	0	1	8	27	2	2	4	142	216	189	404	47	165	23	7	181	9	—	—	—	—	—	—
2022	21	ROK MLE	FCL Mets	—	198	183	29	5	2	4	10	72	2	6	1	158	210	273	483	115	224	36	5	216	32	—	—	—	—	—	—
2023	22	A MLE	St. Lucie Mets	—	172	161	20	3	1	3	5	69	6	6	1	124	180	211	391	87	188	40	3	168	0	—	—	—	—	—	—
2023	22	ROK MLE	FCL Mets	—	24	21	3	1	0	0	2	11	1	2	0	143	250	190	440	48	231	46	8	174	4	—	—	—	—	—	—
2019	18	ROK MLE	DSL Mets 2	—	299	274	49	8	2	0	17	50	3	13	15	179	235	223	457	44	219	17	6	208	27	—	—	—	—	—	—
2019	18	ROK RAW	DSL Mets 2	—	299	266	78	14	4	1	25	41	3	13	15	293	361	387	748	94	344	14	8	333	27	—	—	—	—	—	—
2021	20	ROK MLE	DSL Mets 2	—	118	106	15	2	0	1	8	27	2	2	4	142	216	189	404	47	175	23	7	181	9	—	—	—	—	—	—
2021	20	ROK RAW	DSL Mets 2	—	118	103	24	4	0	2	11	22	2	2	4	233	319	330	649	97	272	19	9	294	9	—	—	—	—	—	—
2022	21	ROK MLE	FCL Mets	—	198	183	29	5	2	4	10	72	2	6	1	158	210	273	483	115	227	36	5	216	32	—	—	—	—	—	—
2022	21	ROK RAW	FCL Mets	—	198	177	47	10	3	7	16	48	2	6	1	266	333	475	808	209	320	24	8	350	32	—	—	—	—	—	—
2023	22	A MLE	2 teams	—	196	182	22	3	1	3	7	80	7	8	1	121	184	198	381	77	192	41	4	169	0	—	—	—	—	—	—
2023	22	A RAW	2 teams	—	196	179	33	5	2	5	10	55	7	8	1	184	255	318	574	134	235	28	5	261	0	—	—	—	—	—	—
2019	18	ROK MLE	DSL Mets 2	—	299	277	49	8	2	0	17	50	3	13	15	177	235	220	455	43	214	17	6	208	27	—	—	—	—	—	—
2021	20	ROK MLE	DSL Mets 2	—	118	107	15	2	0	1	8	27	2	2	4	140	216	187	402	47	165	23	7	181	9	—	—	—	—	—	—
2022	21	ROK MLE	FCL Mets	—	198	184	29	5	2	4	10	72	2	6	1	158	210	272	482	114	224	36	5	216	32	—	—	—	—	—	—
2023	22	A MLE	2 teams	—	196	180	22	3	1	3	7	80	7	8	1	122	184	200	384	78	193	41	4	169	0	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	811	745	115	18	5	8	42	229	14	29	21	154	213	224	438	70	209	28	5	197	19	-78	-3	+0	-5	+18	-6.9
/ 162G	—	MLE		—	650	597	91	14	4	6	34	184	11	23	17	152	212	219	431	67	207	28	5	197	19	-63	-2	+0	-4	+14	-5.6

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.

2023 ASt. Lucie Mets · 172 PAwOBA .251 → .168 (−83)K% 27.9% → 40.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.91%	÷0.947	×1.360	—	—	40.09%
BB% (unintentional) /PA	4.07%	÷0.977	×0.690	—	×0.990	2.84%
HBP% /PA	3.49%	—	×0.780	—	×0.990	2.69%
Singles /BIP	16.22%	÷1.054	×0.920	×0.993	×0.990	13.91%
Doubles /BIP	3.60%	÷0.987	×0.830	×0.993	×0.990	2.98%
Triples /BIP	1.80%	÷1.150	×0.910	×0.993	×0.990	1.40%
Home runs /BIP	4.50%	÷1.274	×0.800	—	×0.990	2.80%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 111, 2B 97, 3B 130, K 89, BB 95 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .251 → .168; ISO .145 → .083; BABIP .226 → .188. 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 ROKFCL Mets · 24 PAwOBA .278 → .174 (−105)K% 29.2% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.17%	÷0.949	×1.440	—	—	44.28%
BB% (unintentional) /PA	12.50%	÷1.004	×0.620	—	×0.965	7.45%
HBP% /PA	4.17%	—	×0.720	—	×0.965	2.89%
Singles /BIP	23.08%	÷1.046	×0.820	—	×0.965	17.45%
Doubles /BIP	7.69%	÷0.953	×0.720	—	×0.965	5.61%
Triples /BIP	0.00%	÷0.979	×0.720	—	×0.965	0.00%
Home runs /BIP	0.00%	÷1.040	×0.780	—	×0.965	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 109, 2B 91, 3B 96, K 90, BB 101 — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .278 → .174; ISO .050 → .031; BABIP .308 → .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).

2022 ROKFCL Mets · 198 PAwOBA .346 → .216 (−130)K% 24.2% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.24%	÷0.964	×1.440	—	—	36.20%
BB% (unintentional) /PA	8.08%	÷1.014	×0.620	—	×0.975	4.82%
HBP% /PA	1.01%	—	×0.720	—	×0.975	0.71%
Singles /BIP	20.93%	÷1.015	×0.820	×0.962	×0.975	15.85%
Doubles /BIP	7.75%	÷1.103	×0.720	×0.962	×0.975	4.75%
Triples /BIP	2.33%	÷1.012	×0.720	×0.962	×0.975	1.55%
Home runs /BIP	5.43%	÷1.078	×0.780	—	×0.975	3.83%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 103, 2B 121, 3B 102, K 93, BB 103 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .346 → .216; ISO .209 → .126; BABIP .320 → .224. 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 DSLDSL Mets 2 · 118 PAwOBA .292 → .181 (−111)K% 18.6% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.64%	÷1.000	×1.220	—	—	22.75%
BB% (unintentional) /PA	9.32%	÷1.000	×0.700	—	×0.975	6.36%
HBP% /PA	1.69%	—	×0.700	—	×0.975	1.16%
Singles /BIP	22.22%	÷1.000	×0.680	×0.950	×0.975	14.00%
Doubles /BIP	4.94%	÷1.000	×0.600	×0.950	×0.975	2.74%
Triples /BIP	0.00%	÷1.000	×0.600	×0.950	×0.975	0.00%
Home runs /BIP	2.47%	÷1.000	×0.470	—	×0.975	1.13%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .292 → .181; ISO .097 → .049; BABIP .272 → .165. 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 DSLDSL Mets 2 · 299 PAwOBA .325 → .208 (−116)K% 13.7% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.71%	÷1.000	×1.220	—	—	16.73%
BB% (unintentional) /PA	8.36%	÷1.000	×0.700	—	×0.995	5.82%
HBP% /PA	1.00%	—	×0.700	—	×0.995	0.70%
Singles /BIP	26.22%	÷1.000	×0.680	×0.950	×0.995	16.85%
Doubles /BIP	6.22%	÷1.000	×0.600	×0.950	×0.995	3.53%
Triples /BIP	1.78%	÷1.000	×0.600	×0.950	×0.995	1.01%
Home runs /BIP	0.44%	÷1.000	×0.470	—	×0.995	0.21%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .325 → .208; ISO .094 → .053; BABIP .344 → .214. 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).