Colton Plaia

PosC

B/TR/R

Born1990-09-25

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2017	26	AANYM	158	.241/.342/.314	1	53	—	.208/.278/.264
2018	27	AAALas Vegas 51s	223	.255/.332/.474	9	61	—	.196/.255/.363
2019	28	AAANYM	137	.152/.203/.224	1	-18	—	.117/.150/.172

Contract

No contract data on file.

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)
2014	23	A	Savannah Sand Gnats	—	308	272	71	13	1	4	28	68	3	1	0	261	337	360	697	99	328	22	9	313	47	—	—	—	—	—	—
2015	24	A+	St. Lucie Mets	—	311	274	78	11	0	2	22	62	4	0	0	285	347	347	693	62	355	20	7	307	55	—	—	—	—	—	—
2016	25	AA	Binghamton Mets	—	241	216	51	9	0	1	17	55	3	0	2	236	301	292	593	56	309	23	7	269	41	—	—	—	—	—	—
2017	26	AA	Binghamton Rumble Ponies	—	158	137	33	7	0	1	19	31	2	0	0	241	342	314	656	73	305	20	12	306	53	—	—	—	—	—	—
2018	27	AAA	Las Vegas 51s	—	223	196	50	14	1	9	23	62	0	0	0	255	332	474	806	219	325	28	10	349	61	—	—	—	—	—	—
2019	28	AAA	Syracuse Mets	—	137	125	19	6	0	1	7	49	1	0	0	152	203	224	427	72	234	36	5	192	-18	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	23	A MLE	Savannah Sand Gnats	—	308	283	58	10	1	3	17	90	3	1	0	205	257	279	537	74	273	29	6	237	47	—	—	—	—	—	—
2015	24	A+ MLE	St. Lucie Mets	—	311	280	66	10	0	1	16	89	4	0	0	236	287	282	569	46	316	29	5	250	55	—	—	—	—	—	—
2016	25	AA MLE	Binghamton Mets	—	241	222	47	7	0	1	11	63	3	0	2	212	258	257	515	45	280	26	5	229	41	—	—	—	—	—	—
2017	26	AA MLE	Binghamton Rumble Ponies	—	158	144	30	5	0	1	12	36	2	0	0	208	278	264	542	56	272	23	8	246	53	—	—	—	—	—	—
2018	27	AAA MLE	Las Vegas 51s	—	223	204	40	11	1	7	16	81	0	0	0	196	255	363	617	167	272	36	7	258	61	—	—	—	—	—	—
2019	28	AAA MLE	Syracuse Mets	—	137	128	15	4	0	1	4	58	1	0	0	117	150	172	322	55	186	42	3	142	-18	—	—	—	—	—	—
2014	23	A MLE	Savannah Sand Gnats	—	308	283	58	10	1	3	17	90	3	1	0	205	257	279	537	74	284	29	6	237	47	—	—	—	—	—	—
2014	23	A RAW	Savannah Sand Gnats	—	308	272	71	13	1	4	28	68	3	1	0	261	337	360	697	99	328	22	9	313	47	—	—	—	—	—	—
2015	24	A+ MLE	St. Lucie Mets	—	311	280	66	10	0	1	16	89	4	0	0	236	287	282	569	46	335	29	5	250	55	—	—	—	—	—	—
2015	24	A+ RAW	St. Lucie Mets	—	311	274	78	11	0	2	22	62	4	0	0	285	347	347	693	62	355	20	7	307	55	—	—	—	—	—	—
2016	25	AA MLE	Binghamton Mets	—	241	222	47	7	0	1	11	63	3	0	2	212	258	257	515	45	287	26	5	229	41	—	—	—	—	—	—
2016	25	AA RAW	Binghamton Mets	—	241	216	51	9	0	1	17	55	3	0	2	236	301	292	593	56	309	23	7	269	41	—	—	—	—	—	—
2017	26	AA MLE	Binghamton Rumble Ponies	—	158	144	30	5	0	1	12	36	2	0	0	208	278	264	542	56	271	23	8	246	53	—	—	—	—	—	—
2017	26	AA RAW	Binghamton Rumble Ponies	—	158	137	33	7	0	1	19	31	2	0	0	241	342	314	656	73	305	20	12	306	53	—	—	—	—	—	—
2018	27	AAA MLE	Las Vegas 51s	—	223	204	40	11	1	7	16	81	0	0	0	196	255	363	617	167	282	36	7	258	61	—	—	—	—	—	—
2018	27	AAA RAW	Las Vegas 51s	—	223	196	50	14	1	9	23	62	0	0	0	255	332	474	806	219	325	28	10	349	61	—	—	—	—	—	—
2019	28	AAA MLE	Syracuse Mets	—	137	128	15	4	0	1	4	58	1	0	0	117	150	172	322	55	197	42	3	142	-18	—	—	—	—	—	—
2019	28	AAA RAW	Syracuse Mets	—	137	125	19	6	0	1	7	49	1	0	0	152	203	224	427	72	234	36	5	192	-18	—	—	—	—	—	—
2014	23	A MLE	Savannah Sand Gnats	—	308	285	58	10	1	3	17	90	3	1	0	204	257	277	535	74	273	29	6	237	47	—	—	—	—	—	—
2015	24	A+ MLE	St. Lucie Mets	—	311	288	66	10	0	1	16	89	4	0	0	229	287	274	561	45	316	29	5	250	55	—	—	—	—	—	—
2016	25	AA MLE	Binghamton Mets	—	241	225	47	7	0	1	11	63	3	0	2	209	258	253	512	44	280	26	5	229	41	—	—	—	—	—	—
2017	26	AA MLE	Binghamton Rumble Ponies	—	158	143	30	5	0	1	12	36	2	0	0	210	278	266	544	56	272	23	8	246	53	—	—	—	—	—	—
2018	27	AAA MLE	Las Vegas 51s	—	223	205	40	11	1	7	16	81	0	0	0	195	255	361	616	166	272	36	7	258	61	—	—	—	—	—	—
2019	28	AAA MLE	Syracuse Mets	—	137	131	15	4	0	1	4	58	1	0	0	115	150	168	318	53	186	42	3	142	-18	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1378	1261	256	47	2	14	76	417	13	1	2	203	256	277	532	74	287	30	6	234	44	-92	-1	+0	+25	+30	-3.8
/ 162G	—	MLE		—	650	595	121	22	1	7	36	197	6	0	1	203	256	279	535	76	287	30	6	234	44	-43	-0	+0	+12	+14	-1.8

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.

2019 AAASyracuse Mets · 137 PAwOBA .182 → .142 (−40)K% 35.8% → 42.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.77%	÷1.020	×1.200	—	—	42.09%
BB% (unintentional) /PA	3.65%	÷0.966	×0.690	—	×0.982	2.56%
HBP% /PA	0.73%	—	×0.940	—	×0.982	0.67%
Singles /BIP	15.79%	÷1.042	×0.930	×0.950	×0.982	13.15%
Doubles /BIP	7.89%	÷1.060	×0.830	×0.950	×0.982	5.77%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.982	0.00%
Home runs /BIP	1.32%	÷0.960	×0.840	—	×0.982	1.13%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .182 → .142; ISO .072 → .055; BABIP .234 → .186. 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 AAALas Vegas 51s · 223 PAwOBA .341 → .258 (−83)K% 27.8% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.80%	÷0.986	×1.290	—	—	36.38%
BB% (unintentional) /PA	10.31%	÷1.039	×0.710	—	×0.992	6.99%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	19.40%	÷0.992	×0.900	×0.956	×0.992	16.70%
Doubles /BIP	10.45%	÷0.918	×0.810	×0.956	×0.992	8.74%
Triples /BIP	0.75%	÷0.959	×0.810	×0.956	×0.992	0.60%
Home runs /BIP	6.72%	÷1.009	×0.780	—	×0.992	5.15%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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 ×0.956.

Result: wOBA .341 → .258; ISO .219 → .164; BABIP .325 → .272. 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 AABinghamton Rumble Ponies · 158 PAwOBA .294 → .246 (−49)K% 19.6% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.62%	÷1.046	×1.220	—	—	22.89%
BB% (unintentional) /PA	10.76%	÷0.986	×0.700	—	×0.978	7.47%
HBP% /PA	1.27%	—	×0.850	—	×0.978	1.05%
Singles /BIP	23.58%	÷0.971	×0.970	×0.957	×0.978	22.04%
Doubles /BIP	6.60%	÷1.056	×0.860	×0.957	×0.978	5.03%
Triples /BIP	0.00%	÷1.150	×0.950	×0.957	×0.978	0.00%
Home runs /BIP	0.94%	÷1.365	×0.780	—	×0.978	0.53%

Factors used: league row EL. Park (home-season share, regressed): HR 173, 1B 94, 2B 111, 3B 130, K 109, 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 ×0.957.

Result: wOBA .294 → .246; ISO .073 → .052; BABIP .305 → .272. 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 AABinghamton Mets · 241 PAwOBA .263 → .229 (−34)K% 22.8% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.82%	÷1.062	×1.220	—	—	26.21%
BB% (unintentional) /PA	6.64%	÷0.996	×0.700	—	×0.988	4.61%
HBP% /PA	1.24%	—	×0.850	—	×0.988	1.05%
Singles /BIP	25.47%	÷1.034	×0.970	×1.007	×0.988	23.77%
Doubles /BIP	5.59%	÷1.070	×0.860	×1.007	×0.988	4.47%
Triples /BIP	0.00%	÷0.956	×0.950	×1.007	×0.988	0.00%
Home runs /BIP	0.62%	÷1.085	×0.780	—	×0.988	0.44%

Factors used: league row EL. Park (home-season share, regressed): HR 117, 1B 107, 2B 114, 3B 91, K 112, BB 99 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .263 → .229; ISO .056 → .044; BABIP .309 → .280. 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).

2015 A+St. Lucie Mets · 311 PAwOBA .303 → .250 (−53)K% 19.9% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.94%	÷0.992	×1.420	—	—	28.54%
BB% (unintentional) /PA	7.07%	÷1.023	×0.750	—	×0.978	5.07%
HBP% /PA	1.29%	—	×0.930	—	×0.978	1.17%
Singles /BIP	30.66%	÷1.049	×0.920	×1.037	×0.978	27.25%
Doubles /BIP	5.19%	÷1.055	×0.960	×1.037	×0.978	4.79%
Triples /BIP	0.00%	÷0.900	×0.810	×1.037	×0.978	0.00%
Home runs /BIP	0.94%	÷1.269	×0.880	—	×0.978	0.64%

Factors used: league row FSL. Park (home-season share, regressed): HR 154, 1B 110, 2B 111, 3B 80, K 98, BB 105 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .303 → .250; ISO .062 → .050; BABIP .355 → .316. 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).

2014 ASavannah Sand Gnats · 308 PAwOBA .309 → .237 (−72)K% 22.1% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.08%	÷1.018	×1.340	—	—	29.06%
BB% (unintentional) /PA	9.09%	÷1.053	×0.660	—	×0.980	5.58%
HBP% /PA	0.97%	—	×0.770	—	×0.980	0.73%
Singles /BIP	25.98%	÷1.017	×0.920	×0.954	×0.980	21.97%
Doubles /BIP	6.37%	÷0.984	×0.820	×0.954	×0.980	4.97%
Triples /BIP	0.49%	÷0.908	×0.940	×0.954	×0.980	0.47%
Home runs /BIP	1.96%	÷0.987	×0.820	—	×0.980	1.60%

Factors used: league row SAL. Park (home-season share, regressed): HR 97, 1B 103, 2B 97, 3B 82, K 104, BB 111 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.954.

Result: wOBA .309 → .237; ISO .099 → .078; BABIP .328 → .273. 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).