Travis Taijeron

PosRF

B/TR/R

Born1989-01-20

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	28	AAALas Vegas 51s	533	.272/.385/.525	25	2	70	—	.186/.279/.337
2017	28	MLBNYM	59	.173/.271/.269	1	0	62	-0.9
2018	29	AAAOklahoma City…	318	.271/.354/.468	11	1	51	—	.179/.247/.297
2019	30	AAANYM	453	.229/.366/.496	24	6	81	—	.174/.284/.381
2020	31	No MLB games played
2021	32	No MLB games played
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR -0.9

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.

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	23	A+	St. Lucie Mets	—	182	158	32	6	0	7	18	52	5	2	0	203	304	373	677	171	253	29	10	306	26	—	—	—	—	—	—
2012	23	A	Savannah Sand Gnats	—	277	230	67	17	3	12	37	70	7	4	1	291	405	548	953	257	364	25	13	413	102	—	—	—	—	—	—
2013	24	AA	Binghamton Mets	—	261	232	57	18	0	14	24	77	3	0	0	246	324	504	829	259	301	30	9	359	79	—	—	—	—	—	—
2013	24	A+	St. Lucie Mets	—	222	188	57	20	1	9	23	54	8	1	1	303	402	564	966	261	375	24	10	416	93	—	—	—	—	—	—
2014	25	AA	Binghamton Mets	—	387	330	82	30	0	15	48	107	8	1	3	248	358	476	833	227	321	28	12	368	76	—	—	—	—	—	—
2015	26	AAA	Las Vegas 51s	—	478	394	108	22	3	25	65	147	15	2	2	274	397	536	932	261	367	31	14	406	84	—	—	—	—	—	—
2015	26	INTL	Caribes de Anzoategui	—	56	47	11	3	0	2	8	17	0	0	0	234	345	426	771	191	310	30	14	340	116	—	—	—	—	—	—
2016	27	AAA	Las Vegas 51s	—	541	459	126	42	5	19	67	166	8	1	3	275	376	512	888	237	381	31	12	385	71	—	—	—	—	—	—
2017	28	MLB	New York Mets	—	59	52	9	2	0	1	5	24	2	0	0	173	271	269	540	96	296	41	8	255	62	-3	+0	-1	-6	+1	-0.9
2017	28	AAA	Las Vegas 51s	—	533	448	122	32	3	25	70	146	12	2	1	272	385	525	909	252	346	27	13	397	70	—	—	—	—	—	—
2018	29	AAA	Oklahoma City Dodgers	—	318	280	76	18	2	11	33	110	3	1	3	271	354	468	822	196	404	35	10	362	51	—	—	—	—	—	—
2019	30	AAA	Syracuse Mets	—	453	371	85	21	3	24	64	165	16	6	3	229	366	496	862	267	332	36	14	379	81	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	59	52	9	2	0	1	5	24	2	0	0	173	271	269	540	96	296	41	8	255	59	-3	+0	-1	-6	+1	-0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	23	A+ MLE	St. Lucie Mets	—	182	163	22	4	0	4	13	79	5	2	0	135	221	233	454	98	221	43	7	207	26	—	—	—	—	—	—
2012	23	A MLE	Savannah Sand Gnats	—	277	244	56	14	2	10	23	91	7	4	1	230	314	426	740	197	307	33	8	319	102	—	—	—	—	—	—
2013	24	AA MLE	Binghamton Mets	—	261	239	50	15	0	11	17	91	3	0	0	209	270	410	680	201	271	35	7	285	79	—	—	—	—	—	—
2013	24	A+ MLE	St. Lucie Mets	—	222	193	43	17	1	5	18	78	8	1	1	223	315	399	714	176	318	35	8	305	93	—	—	—	—	—	—
2014	25	AA MLE	Binghamton Mets	—	387	345	68	23	0	11	33	129	8	1	3	197	282	359	642	162	271	33	9	280	76	—	—	—	—	—	—
2015	26	AAA MLE	Las Vegas 51s	—	478	414	80	15	2	16	45	194	15	2	2	193	295	355	650	162	303	41	9	292	84	—	—	—	—	—	—
2016	27	AAA MLE	Las Vegas 51s	—	541	476	91	27	4	12	50	221	8	1	3	191	279	340	619	149	305	41	9	273	71	—	—	—	—	—	—
2017	28	MLB MLE	New York Mets	—	59	52	9	2	0	1	5	24	2	0	0	173	271	269	540	96	296	41	8	260	62	-3	+0	-1	-6	+1	-0.9
2017	28	AAA MLE	Las Vegas 51s	—	533	469	87	22	2	15	49	199	12	2	1	186	279	337	616	151	275	37	9	271	70	—	—	—	—	—	—
2018	29	AAA MLE	Oklahoma City Dodgers	—	318	290	52	11	1	7	23	146	3	1	3	179	247	297	543	117	322	46	7	243	51	—	—	—	—	—	—
2019	30	AAA MLE	Syracuse Mets	—	453	391	68	15	3	20	44	194	16	6	3	174	284	381	665	207	259	43	10	288	81	—	—	—	—	—	—
2012	23	A MLE	2 teams	—	459	407	77	18	2	14	36	170	12	6	1	189	275	346	621	157	279	37	8	275	72	—	—	—	—	—	—
2012	23	A RAW	2 teams	—	459	388	99	23	3	19	55	122	12	6	1	255	365	477	842	222	320	27	12	370	72	—	—	—	—	—	—
2013	24	AA MLE	2 teams	—	483	432	92	31	1	16	35	169	11	1	1	213	289	400	689	188	302	35	7	294	85	—	—	—	—	—	—
2013	24	AA RAW	2 teams	—	483	420	114	38	1	23	47	131	11	1	1	271	360	531	891	260	336	27	10	386	85	—	—	—	—	—	—
2014	25	AA MLE	Binghamton Mets	—	387	345	68	23	0	11	33	129	8	1	3	197	282	359	642	162	277	33	9	280	76	—	—	—	—	—	—
2014	25	AA RAW	Binghamton Mets	—	387	330	82	30	0	15	48	107	8	1	3	248	358	476	833	227	321	28	12	368	76	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	534	464	89	17	2	18	50	217	15	2	2	192	291	353	645	162	303	41	9	292	84	—	—	—	—	—	—
2015	26	AAA RAW	2 teams	—	534	441	119	25	3	27	73	164	15	2	2	270	391	524	915	254	361	31	14	399	84	—	—	—	—	—	—
2016	27	AAA MLE	Las Vegas 51s	—	541	476	91	27	4	12	50	221	8	1	3	191	279	340	619	149	316	41	9	273	71	—	—	—	—	—	—
2016	27	AAA RAW	Las Vegas 51s	—	541	459	126	42	5	19	67	166	8	1	3	275	376	512	888	237	381	31	12	385	71	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	592	521	96	24	2	16	54	223	14	2	1	184	278	330	609	146	281	38	9	270	69	—	—	—	—	—	—
2017	28	AAA RAW	2 teams	—	592	500	131	34	3	26	75	170	14	2	1	262	374	498	872	236	342	29	13	383	69	—	—	—	—	—	—
2018	29	AAA MLE	Oklahoma City Dodgers	—	318	290	52	11	1	7	23	146	3	1	3	179	247	297	543	117	324	46	7	243	51	—	—	—	—	—	—
2018	29	AAA RAW	Oklahoma City Dodgers	—	318	280	76	18	2	11	33	110	3	1	3	271	354	468	822	196	404	35	10	362	51	—	—	—	—	—	—
2019	30	AAA MLE	Syracuse Mets	—	453	391	68	15	3	20	44	194	16	6	3	174	284	381	665	207	268	43	10	288	81	—	—	—	—	—	—
2019	30	AAA RAW	Syracuse Mets	—	453	371	85	21	3	24	64	165	16	6	3	229	366	496	862	267	332	36	14	379	81	—	—	—	—	—	—
2012	23	A MLE	2 teams	—	459	408	77	18	2	14	36	170	12	6	1	189	275	346	620	157	273	37	8	275	72	—	—	—	—	—	—
2013	24	AA MLE	2 teams	—	483	434	92	31	1	16	35	169	11	1	1	212	289	399	687	187	293	35	7	294	85	—	—	—	—	—	—
2014	25	AA MLE	Binghamton Mets	—	387	343	68	23	0	11	33	129	8	1	3	198	282	362	644	163	271	33	9	280	76	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	534	464	89	17	2	18	50	217	15	2	2	192	291	353	645	162	303	41	9	292	84	—	—	—	—	—	—
2016	27	AAA MLE	Las Vegas 51s	—	541	478	91	27	4	12	50	221	8	1	3	190	279	339	618	149	305	41	9	273	71	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	592	519	96	24	2	16	54	223	14	2	1	185	278	331	610	146	277	38	9	270	69	—	—	—	—	—	—
2018	29	AAA MLE	Oklahoma City Dodgers	—	318	289	52	11	1	7	23	146	3	1	3	180	247	298	544	118	322	46	7	243	51	—	—	—	—	—	—
2019	30	AAA MLE	Syracuse Mets	—	453	390	68	15	3	20	44	194	16	6	3	174	284	382	666	208	259	43	10	288	81	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	59	52	9	2	0	1	5	24	2	0	0	173	271	269	540	96	296	41	8	255	74	-3	+0	-1	-6	+1	-0.9
/ 162G	—	A+C		—	650	573	99	22	0	11	55	264	22	0	0	173	271	269	540	96	295	41	8	255	74	-32	+0	-9	-70	+14	-9.9
Career	—	MLE		—	3767	3326	633	166	15	114	325	1469	87	20	17	190	280	352	632	162	293	39	9	278	74	-3	+0	-1	-6	+1	-0.9
/ 162G	—	MLE		—	650	574	110	29	3	20	56	253	15	3	3	192	281	357	638	166	294	39	9	278	74	-32	+0	-9	-70	+14	-9.9

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 · 453 PAwOBA .371 → .288 (−83)K% 36.4% → 42.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.42%	÷1.020	×1.200	—	—	42.86%
BB% (unintentional) /PA	14.13%	÷0.966	×0.690	—	×0.972	9.81%
HBP% /PA	3.53%	—	×0.940	—	×0.972	3.23%
Singles /BIP	17.96%	÷1.042	×0.930	×0.950	×0.972	14.81%
Doubles /BIP	10.19%	÷1.060	×0.830	×0.950	×0.972	7.37%
Triples /BIP	1.46%	÷0.900	×0.970	×0.950	×0.972	1.45%
Home runs /BIP	11.65%	÷0.960	×0.840	—	×0.972	9.91%

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 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .371 → .288; ISO .267 → .215; BABIP .332 → .259. 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 AAAOklahoma City Dodgers · 318 PAwOBA .355 → .243 (−112)K% 34.6% → 46.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.59%	÷0.970	×1.290	—	—	46.03%
BB% (unintentional) /PA	10.38%	÷1.021	×0.710	—	×0.982	7.08%
HBP% /PA	0.94%	—	×0.980	—	×0.982	0.91%
Singles /BIP	26.47%	÷0.992	×0.900	×0.950	×0.982	22.40%
Doubles /BIP	10.59%	÷1.029	×0.810	×0.950	×0.982	7.77%
Triples /BIP	1.18%	÷1.020	×0.810	×0.950	×0.982	0.87%
Home runs /BIP	6.47%	÷1.020	×0.780	—	×0.982	4.86%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 106, 3B 104, K 94, BB 104 — 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 .355 → .243; ISO .196 → .126; BABIP .404 → .322. 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 AAALas Vegas 51s · 533 PAwOBA .389 → .271 (−118)K% 27.4% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.39%	÷0.948	×1.290	—	—	37.27%
BB% (unintentional) /PA	13.13%	÷1.015	×0.710	—	×0.992	9.11%
HBP% /PA	2.25%	—	×0.980	—	×0.992	2.19%
Singles /BIP	20.53%	÷0.994	×0.900	×0.950	×0.992	17.52%
Doubles /BIP	10.60%	÷0.998	×0.810	×0.950	×0.992	8.10%
Triples /BIP	0.99%	÷1.111	×0.810	×0.950	×0.992	0.68%
Home runs /BIP	8.28%	÷1.209	×0.780	—	×0.992	5.30%

Factors used: league row PCL. Park (home-season share, regressed): HR 142, 1B 99, 2B 100, 3B 122, K 90, BB 103 — 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 .389 → .271; ISO .252 → .155; BABIP .346 → .275. 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 AAALas Vegas 51s · 541 PAwOBA .380 → .273 (−107)K% 30.7% → 40.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.68%	÷0.971	×1.290	—	—	40.76%
BB% (unintentional) /PA	12.38%	÷0.962	×0.710	—	×1.003	9.17%
HBP% /PA	1.48%	—	×0.980	—	×1.003	1.45%
Singles /BIP	20.48%	÷0.994	×0.900	×0.984	×1.003	18.30%
Doubles /BIP	14.33%	÷1.128	×0.810	×0.984	×1.003	10.16%
Triples /BIP	1.71%	÷0.980	×0.810	×0.984	×1.003	1.39%
Home runs /BIP	6.48%	÷1.088	×0.780	—	×1.003	4.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 99, 2B 126, 3B 96, K 94, BB 92 — 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 ×0.984.

Result: wOBA .380 → .273; ISO .237 → .154; BABIP .381 → .305. 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 AAALas Vegas 51s · 478 PAwOBA .397 → .292 (−105)K% 30.8% → 40.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.75%	÷0.977	×1.290	—	—	40.59%
BB% (unintentional) /PA	13.18%	÷1.010	×0.710	—	×1.018	9.43%
HBP% /PA	3.14%	—	×0.980	—	×1.018	3.13%
Singles /BIP	23.48%	÷0.983	×0.900	×0.958	×1.018	20.96%
Doubles /BIP	8.91%	÷1.042	×0.810	×0.958	×1.018	6.75%
Triples /BIP	1.21%	÷1.061	×0.810	×0.958	×1.018	0.90%
Home runs /BIP	10.12%	÷1.099	×0.780	—	×1.018	7.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — 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 ×0.958.

Result: wOBA .397 → .292; ISO .261 → .173; BABIP .367 → .303. 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 AABinghamton Mets · 387 PAwOBA .360 → .280 (−80)K% 27.6% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.65%	÷1.011	×1.220	—	—	33.37%
BB% (unintentional) /PA	12.40%	÷1.032	×0.700	—	×0.998	8.39%
HBP% /PA	2.07%	—	×0.850	—	×0.998	1.75%
Singles /BIP	16.59%	÷0.990	×0.970	×0.950	×0.998	15.41%
Doubles /BIP	13.45%	÷1.050	×0.860	×0.950	×0.998	10.45%
Triples /BIP	0.00%	÷1.036	×0.950	×0.950	×0.998	0.00%
Home runs /BIP	6.73%	÷1.009	×0.780	—	×0.998	5.19%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 98, 2B 110, 3B 107, K 102, BB 106 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .360 → .280; ISO .227 → .172; BABIP .321 → .271. 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).

2013 AABinghamton Mets · 261 PAwOBA .352 → .285 (−67)K% 29.5% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.50%	÷1.034	×1.220	—	—	34.82%
BB% (unintentional) /PA	9.20%	÷1.019	×0.700	—	×1.012	6.39%
HBP% /PA	1.15%	—	×0.850	—	×1.012	0.99%
Singles /BIP	16.13%	÷0.949	×0.970	×0.950	×1.012	15.85%
Doubles /BIP	11.61%	÷0.991	×0.860	×0.950	×1.012	9.69%
Triples /BIP	0.00%	÷0.900	×0.950	×0.950	×1.012	0.00%
Home runs /BIP	9.03%	÷1.012	×0.780	—	×1.012	7.05%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 90, 2B 98, 3B 80, K 107, BB 104 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .352 → .285; ISO .259 → .200; BABIP .301 → .271. 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).

2013 A+St. Lucie Mets · 222 PAwOBA .411 → .305 (−106)K% 24.3% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.32%	÷0.979	×1.420	—	—	35.30%
BB% (unintentional) /PA	10.36%	÷0.949	×0.750	—	×0.988	8.09%
HBP% /PA	3.60%	—	×0.930	—	×0.988	3.31%
Singles /BIP	20.15%	÷1.052	×0.920	×0.955	×0.988	16.61%
Doubles /BIP	14.93%	÷0.959	×0.960	×0.955	×0.988	14.09%
Triples /BIP	0.75%	÷1.114	×0.810	×0.955	×0.988	0.51%
Home runs /BIP	6.72%	÷1.370	×0.880	—	×0.988	4.26%

Factors used: league row FSL. Park (home-season share, regressed): HR 174, 1B 110, 2B 92, 3B 123, K 96, BB 90 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .411 → .305; ISO .261 → .176; BABIP .375 → .318. 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 — .