Tommy Field

Pos2B

B/TR/R

Born1987-02-22

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	28	AAATEX	435	.247/.352/.439	14	5	63	—	.187/.268/.316
2015	28	MLBTEX	45	.195/.250/.366	2	1	62	0.0
2016	29	AAAWSH	362	.226/.313/.387	11	2	58	—	.193/.263/.324
2017	30	AAAWSH	447	.231/.298/.348	6	4	36	—	.184/.232/.271
2018	31	No MLB games played
2019	32	No MLB games played
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 0.0

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)
2009	22	A	Asheville Tourists	—	350	304	78	17	0	2	26	58	11	8	3	257	335	332	668	76	309	17	7	302	53	—	—	—	—	—	—
2010	23	A+	Modesto Nuts	—	544	440	125	21	7	15	66	114	21	16	5	284	402	466	867	182	346	21	12	377	97	—	—	—	—	—	—
2010	23	INTL	Scottsdale Scorpions	—	74	67	14	3	0	1	5	22	0	2	0	209	260	299	559	90	289	30	7	250	55	—	—	—	—	—	—
2011	24	MLB	Colorado Rockies	—	51	48	13	0	0	0	3	14	0	0	0	271	314	271	585		382	27	6	272	66	-2	+0	+1	+6	+1	0.6
2011	24	AA	Tulsa Drillers	—	544	472	128	22	3	17	53	108	12	9	4	271	359	439	798	167	316	20	10	353	91	—	—	—	—	—	—
2012	25	AAA	Colorado Springs Sky Sox	—	494	435	107	31	6	8	41	76	5	4	0	246	317	400	717	154	279	15	8	313	55	—	—	—	—	—	—
2013	26	MLB	Los Angeles Angels	—	27	26	4	0	0	0	1	7	0	0	0	154	185	154	339		211	26	4	160	-6	-3	+0	-1	+1	+1	-0.3
2013	26	AAA	Salt Lake Bees	—	372	314	95	20	2	11	44	68	5	6	2	303	397	484	881	182	350	18	12	382	103	—	—	—	—	—	—
2014	27	AAA	Indianapolis Indians	—	387	339	97	19	4	7	34	69	6	5	1	286	361	428	789	142	336	18	9	347	88	—	—	—	—	—	—
2015	28	MLB	Texas Rangers	—	45	41	8	1	0	2	2	16	1	1	0	195	250	366	616	171	261	36	4	269	62	-2	+0	-1	+2	+1	0.0
2015	28	AAA	Round Rock Express	—	435	369	91	23	3	14	53	82	7	5	1	247	352	439	791	192	276	19	12	349	63	—	—	—	—	—	—
2016	29	AAA	Rochester Red Wings	—	362	318	72	14	2	11	31	71	9	2	2	226	313	387	700	160	256	20	9	312	58	—	—	—	—	—	—
2017	30	AAA	Rochester Red Wings	—	447	402	93	29	0	6	30	89	8	4	0	231	298	348	646	117	281	20	7	289	36	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	123	115	25	1	0	2	6	37	1	1	0	217	262	278	541	61	303	30	5	246	53	-7	+0	-1	+10	+3	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	A MLE	Asheville Tourists	—	350	316	70	14	0	2	16	78	11	8	3	222	283	285	568	63	274	22	5	246	53	—	—	—	—	—	—
2010	23	A+ MLE	Modesto Nuts	—	544	465	112	18	5	15	42	153	21	16	5	241	331	398	729	157	299	28	8	312	97	—	—	—	—	—	—
2011	24	MLB MLE	Colorado Rockies	—	51	48	13	0	0	0	3	14	0	0	0	271	314	271	585		382	27	6	266	66	-2	+0	+1	+6	+1	0.6
2011	24	AA MLE	Tulsa Drillers	—	544	488	121	20	3	13	37	133	12	9	4	248	317	381	698	133	304	24	7	302	91	—	—	—	—	—	—
2012	25	AAA MLE	Colorado Springs Sky Sox	—	494	444	88	23	4	6	33	109	5	4	0	198	261	309	570	110	238	22	7	249	55	—	—	—	—	—	—
2013	26	MLB MLE	Los Angeles Angels	—	27	26	4	0	0	0	1	7	0	0	0	154	185	154	339		211	26	4	160	-6	-3	+0	-1	+1	+1	-0.3
2013	26	AAA MLE	Salt Lake Bees	—	372	327	85	17	1	9	31	91	5	6	2	260	333	401	734	141	318	24	8	321	103	—	—	—	—	—	—
2014	27	AAA MLE	Indianapolis Indians	—	387	348	86	17	3	7	25	86	6	5	1	247	309	374	682	126	298	22	6	299	88	—	—	—	—	—	—
2015	28	MLB MLE	Texas Rangers	—	45	41	8	1	0	2	2	16	1	1	0	195	250	366	616	171	261	36	4	261	62	-2	+0	-1	+2	+1	0.0
2015	28	AAA MLE	Round Rock Express	—	435	386	72	17	3	9	36	103	7	5	1	187	268	316	584	130	221	24	8	261	63	—	—	—	—	—	—
2016	29	AAA MLE	Rochester Red Wings	—	362	327	63	9	2	10	22	85	9	2	2	193	263	324	587	131	221	23	6	254	58	—	—	—	—	—	—
2017	30	AAA MLE	Rochester Red Wings	—	447	414	76	21	0	5	18	107	8	4	0	184	232	271	502	87	226	24	4	221	36	—	—	—	—	—	—
2009	22	A MLE	Asheville Tourists	—	350	316	70	14	0	2	16	78	11	8	3	222	283	285	568	63	286	22	5	246	53	—	—	—	—	—	—
2009	22	A RAW	Asheville Tourists	—	350	304	78	17	0	2	26	58	11	8	3	257	335	332	668	76	309	17	7	302	53	—	—	—	—	—	—
2010	23	A+ MLE	2 teams	—	618	532	127	20	6	17	48	174	21	18	5	239	326	395	721	156	315	28	8	312	97	—	—	—	—	—	—
2010	23	A+ RAW	2 teams	—	618	507	139	24	7	16	71	136	21	18	5	274	384	444	828	170	339	22	11	362	97	—	—	—	—	—	—
2011	24	AA MLE	2 teams	—	595	536	134	20	3	13	40	147	12	9	4	250	316	371	688	121	318	25	7	299	88	—	—	—	—	—	—
2011	24	AA RAW	2 teams	—	595	520	141	22	3	17	56	122	12	9	4	271	355	423	779	152	322	21	9	346	88	—	—	—	—	—	—
2012	25	AAA MLE	Colorado Springs Sky Sox	—	494	444	88	23	4	6	33	109	5	4	0	198	261	309	570	110	246	22	7	249	55	—	—	—	—	—	—
2012	25	AAA RAW	Colorado Springs Sky Sox	—	494	435	107	31	6	8	41	76	5	4	0	246	317	400	717	154	279	15	8	313	55	—	—	—	—	—	—
2013	26	AAA MLE	2 teams	—	399	353	89	17	1	9	32	98	5	6	2	252	323	382	706	130	319	25	8	310	96	—	—	—	—	—	—
2013	26	AAA RAW	2 teams	—	399	340	99	20	2	11	45	75	5	6	2	291	382	459	841	168	340	19	11	367	96	—	—	—	—	—	—
2014	27	AAA MLE	Indianapolis Indians	—	387	348	86	17	3	7	25	86	6	5	1	247	309	374	682	126	304	22	6	299	88	—	—	—	—	—	—
2014	27	AAA RAW	Indianapolis Indians	—	387	339	97	19	4	7	34	69	6	5	1	286	361	428	789	142	336	18	9	347	88	—	—	—	—	—	—
2015	28	AAA MLE	2 teams	—	480	427	80	18	3	11	38	119	8	6	1	187	266	321	587	133	228	25	8	261	63	—	—	—	—	—	—
2015	28	AAA RAW	2 teams	—	480	410	99	24	3	16	55	98	8	6	1	241	342	432	774	190	275	20	11	341	63	—	—	—	—	—	—
2016	29	AAA MLE	Rochester Red Wings	—	362	327	63	9	2	10	22	85	9	2	2	193	263	324	587	131	226	23	6	254	58	—	—	—	—	—	—
2016	29	AAA RAW	Rochester Red Wings	—	362	318	72	14	2	11	31	71	9	2	2	226	313	387	700	160	256	20	9	312	58	—	—	—	—	—	—
2017	30	AAA MLE	Rochester Red Wings	—	447	414	76	21	0	5	18	107	8	4	0	184	232	271	502	87	233	24	4	221	36	—	—	—	—	—	—
2017	30	AAA RAW	Rochester Red Wings	—	447	402	93	29	0	6	30	89	8	4	0	231	298	348	646	117	281	20	7	289	36	—	—	—	—	—	—
2009	22	A MLE	Asheville Tourists	—	350	320	70	14	0	2	16	78	11	8	3	219	283	281	564	62	274	22	5	246	53	—	—	—	—	—	—
2010	23	A+ MLE	2 teams	—	618	544	127	20	6	17	48	174	21	18	5	233	326	386	712	153	299	28	8	312	97	—	—	—	—	—	—
2011	24	AA MLE	2 teams	—	595	538	134	20	3	13	40	147	12	9	4	249	316	370	686	121	311	25	7	299	88	—	—	—	—	—	—
2012	25	AAA MLE	Colorado Springs Sky Sox	—	494	453	88	23	4	6	33	109	5	4	0	194	261	302	564	108	238	22	7	249	55	—	—	—	—	—	—
2013	26	AAA MLE	2 teams	—	399	359	89	17	1	9	32	98	5	6	2	248	323	376	699	128	311	25	8	310	96	—	—	—	—	—	—
2014	27	AAA MLE	Indianapolis Indians	—	387	353	86	17	3	7	25	86	6	5	1	244	309	368	677	125	298	22	6	299	88	—	—	—	—	—	—
2015	28	AAA MLE	2 teams	—	480	431	80	18	3	11	38	119	8	6	1	186	266	318	584	132	225	25	8	261	63	—	—	—	—	—	—
2016	29	AAA MLE	Rochester Red Wings	—	362	328	63	9	2	10	22	85	9	2	2	192	263	323	586	131	221	23	6	254	58	—	—	—	—	—	—
2017	30	AAA MLE	Rochester Red Wings	—	447	418	76	21	0	5	18	107	8	4	0	182	232	268	500	86	226	24	4	221	36	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	123	115	25	1	0	2	6	37	1	1	0	217	262	278	541	61	303	30	5	246	72	-7	+0	-1	+10	+3	0.4
/ 162G	—	A+C		—	650	608	132	5	0	11	32	196	5	5	0	217	262	280	542	62	302	30	5	246	72	-37	+1	-6	+50	+14	2.3
Career	—	MLE		—	4132	3697	813	159	22	80	272	1003	85	62	18	220	289	340	628	120	276	24	7	275	72	-7	+0	-1	+10	+3	0.4
/ 162G	—	MLE		—	650	582	128	25	3	13	43	158	13	10	3	220	288	340	629	120	276	24	7	275	72	-37	+1	-6	+50	+14	2.3

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.

2017 AAARochester Red Wings · 447 PAwOBA .282 → .221 (−61)K% 19.9% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.91%	÷0.997	×1.200	—	—	23.96%
BB% (unintentional) /PA	6.49%	÷1.080	×0.690	—	×0.972	4.03%
HBP% /PA	1.79%	—	×0.940	—	×0.972	1.64%
Singles /BIP	18.53%	÷1.019	×0.930	×0.963	×0.972	15.83%
Doubles /BIP	9.27%	÷1.085	×0.830	×0.963	×0.972	6.64%
Triples /BIP	0.00%	÷1.085	×0.970	×0.963	×0.972	0.00%
Home runs /BIP	1.92%	÷0.956	×0.840	—	×0.972	1.64%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 117, 3B 117, K 99, BB 116 — 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 ×0.963.

Result: wOBA .282 → .221; ISO .117 → .090; BABIP .281 → .226. 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 AAARochester Red Wings · 362 PAwOBA .306 → .254 (−52)K% 19.6% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.61%	÷1.007	×1.200	—	—	23.37%
BB% (unintentional) /PA	8.56%	÷0.968	×0.690	—	×0.982	6.00%
HBP% /PA	2.49%	—	×0.940	—	×0.982	2.29%
Singles /BIP	18.22%	÷0.953	×0.930	×0.971	×0.982	16.96%
Doubles /BIP	5.67%	÷1.224	×0.830	×0.971	×0.982	3.67%
Triples /BIP	0.81%	÷0.971	×0.970	×0.971	×0.982	0.77%
Home runs /BIP	4.45%	÷0.951	×0.840	—	×0.982	3.86%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 90, 2B 145, 3B 94, K 101, BB 94 — 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 ×0.971.

Result: wOBA .306 → .254; ISO .160 → .131; BABIP .256 → .221. 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 AAARound Rock Express · 435 PAwOBA .344 → .261 (−82)K% 18.9% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.85%	÷1.031	×1.290	—	—	23.59%
BB% (unintentional) /PA	11.95%	÷1.014	×0.710	—	×0.992	8.30%
HBP% /PA	1.61%	—	×0.980	—	×0.992	1.56%
Singles /BIP	17.77%	÷1.007	×0.900	×0.950	×0.992	14.97%
Doubles /BIP	8.01%	÷1.029	×0.810	×0.950	×0.992	5.95%
Triples /BIP	1.05%	÷0.900	×0.810	×0.950	×0.992	0.89%
Home runs /BIP	4.88%	÷1.184	×0.780	—	×0.992	3.19%

Factors used: league row PCL. Park (home-season share, regressed): HR 137, 1B 101, 2B 106, 3B 80, K 106, 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 .344 → .261; ISO .192 → .136; BABIP .276 → .221. 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 AAAIndianapolis Indians · 387 PAwOBA .342 → .299 (−43)K% 17.8% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.83%	÷0.968	×1.200	—	—	22.10%
BB% (unintentional) /PA	8.79%	÷0.944	×0.690	—	×1.003	6.44%
HBP% /PA	1.55%	—	×0.940	—	×1.003	1.46%
Singles /BIP	24.81%	÷1.068	×0.930	×1.011	×1.003	21.92%
Doubles /BIP	7.04%	÷0.932	×0.830	×1.011	×1.003	6.36%
Triples /BIP	1.48%	÷1.150	×0.970	×1.011	×1.003	1.27%
Home runs /BIP	2.59%	÷0.854	×0.840	—	×1.003	2.56%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 114, 2B 86, 3B 130, K 94, BB 89 — 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 ×1.011.

Result: wOBA .342 → .299; ISO .142 → .132; BABIP .336 → .298. 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 AAASalt Lake Bees · 372 PAwOBA .377 → .321 (−56)K% 18.3% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.28%	÷0.964	×1.290	—	—	24.45%
BB% (unintentional) /PA	11.56%	÷1.016	×0.710	—	×1.018	8.23%
HBP% /PA	1.34%	—	×0.980	—	×1.018	1.34%
Singles /BIP	25.20%	÷0.997	×0.900	×1.021	×1.018	23.65%
Doubles /BIP	8.13%	÷0.977	×0.810	×1.021	×1.018	7.01%
Triples /BIP	0.81%	÷1.150	×0.810	×1.021	×1.018	0.60%
Home runs /BIP	4.47%	÷0.973	×0.780	—	×1.018	3.65%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 95, 3B 130, K 93, 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 ×1.021.

Result: wOBA .377 → .321; ISO .182 → .150; BABIP .350 → .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).

2012 AAAColorado Springs Sky Sox · 494 PAwOBA .307 → .249 (−58)K% 15.4% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.898	×1.290	—	—	22.11%
BB% (unintentional) /PA	8.30%	÷0.927	×0.710	—	×1.033	6.57%
HBP% /PA	1.01%	—	×0.980	—	×1.033	1.02%
Singles /BIP	17.27%	÷1.006	×0.900	×0.986	×1.033	15.73%
Doubles /BIP	8.64%	÷1.068	×0.810	×0.986	×1.033	6.67%
Triples /BIP	1.67%	÷1.150	×0.810	×0.986	×1.033	1.20%
Home runs /BIP	2.23%	÷0.996	×0.780	—	×1.033	1.80%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 101, 2B 114, 3B 130, K 80, BB 85 — 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 ×0.986.

Result: wOBA .307 → .249; ISO .154 → .116; BABIP .279 → .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).

2011 AATulsa Drillers · 544 PAwOBA .346 → .302 (−44)K% 19.9% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.85%	÷0.992	×1.220	—	—	24.43%
BB% (unintentional) /PA	9.56%	÷0.992	×0.700	—	×1.012	6.82%
HBP% /PA	2.21%	—	×0.870	—	×1.012	1.94%
Singles /BIP	23.63%	÷0.935	×0.920	×0.997	×1.012	23.47%
Doubles /BIP	6.04%	÷0.949	×0.840	×0.997	×1.012	5.40%
Triples /BIP	0.82%	÷1.029	×0.940	×0.997	×1.012	0.76%
Home runs /BIP	4.67%	÷1.071	×0.800	—	×1.012	3.53%

Factors used: league row TL. Park (home-season share, regressed): HR 114, 1B 87, 2B 90, 3B 106, K 98, BB 98 — 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 ×0.997.

Result: wOBA .346 → .302; ISO .167 → .135; BABIP .316 → .304. 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).

2010 A+Modesto Nuts · 544 PAwOBA .371 → .312 (−59)K% 21.0% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.96%	÷1.001	×1.340	—	—	28.07%
BB% (unintentional) /PA	11.76%	÷1.072	×0.710	—	×0.998	7.78%
HBP% /PA	3.86%	—	×0.790	—	×0.998	3.04%
Singles /BIP	25.15%	÷1.016	×0.910	×0.994	×0.998	22.34%
Doubles /BIP	6.44%	÷0.990	×0.820	×0.994	×0.998	5.29%
Triples /BIP	2.15%	÷1.046	×0.760	×0.994	×0.998	1.55%
Home runs /BIP	4.60%	÷0.923	×0.920	—	×0.998	4.58%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 103, 2B 98, 3B 109, K 100, BB 114 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .371 → .312; ISO .182 → .167; BABIP .346 → .299. 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).