David Thompson

Pos3B

B/TR/R

Born1993-08-28

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	24	AAALas Vegas 51s	73	.258/.329/.379	1	2	59	—	.209/.274/.313
2019	25	AAA/AANYM	456	.217/.294/.348	9	13	47	—	.186/.249/.297
2021	27	AAA/INTL2 orgs	292	.222/.315/.447	14	10	58	—	.168/.254/.327

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)
2016	22	A+	St. Lucie Mets	—	225	204	54	12	0	6	15	41	3	3	0	265	324	412	736	147	302	18	7	325	68	—	—	—	—	—	—
2016	22	A	Columbia Fireflies	—	256	228	67	22	2	5	14	49	7	3	0	294	353	474	827	180	343	19	5	356	86	—	—	—	—	—	—
2017	23	AA	Binghamton Rumble Ponies	—	529	476	125	29	1	16	40	92	7	8	6	263	329	429	757	166	291	17	8	334	71	—	—	—	—	—	—
2017	23	INTL	Scottsdale Scorpions	—	62	58	19	7	2	1	4	11	0	1	1	328	371	569	940	241	391	18	6	407	162	—	—	—	—	—	—
2018	24	AAA	Las Vegas 51s	—	73	66	17	5	0	1	4	20	3	2	2	258	329	379	708	121	356	27	5	321	59	—	—	—	—	—	—
2019	25	AAA	Syracuse Mets	—	144	127	24	10	0	3	11	40	2	3	0	189	264	339	603	150	239	28	8	265	32	—	—	—	—	—	—
2019	25	AA	Binghamton Rumble Ponies	—	312	278	64	12	2	6	23	61	8	10	3	230	307	353	660	122	271	20	7	298	54	—	—	—	—	—	—
2021	27	AAA	Syracuse Mets	—	252	219	50	10	2	13	22	68	11	10	1	228	329	470	800	242	268	27	9	354	59	—	—	—	—	—	—
2021	27	INTL	Tigres del Licey	—	40	38	7	2	0	1	2	4	0	0	0	184	225	316	541	132	182	10	5	242	50	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	22	A+ MLE	St. Lucie Mets	—	225	208	46	11	0	5	11	61	3	3	0	221	270	346	616	125	277	27	5	268	68	—	—	—	—	—	—
2016	22	A MLE	Columbia Fireflies	—	256	233	59	18	2	4	9	67	7	3	0	253	301	399	700	146	308	26	4	295	86	—	—	—	—	—	—
2017	23	AA MLE	Binghamton Rumble Ponies	—	529	490	113	24	1	9	26	107	7	8	6	231	279	339	618	108	269	20	5	273	71	—	—	—	—	—	—
2018	24	AAA MLE	Las Vegas 51s	—	73	67	14	4	0	1	3	26	3	2	2	209	274	313	587	104	329	36	4	256	59	—	—	—	—	—	—
2019	25	AAA MLE	Syracuse Mets	—	144	130	20	8	0	3	8	47	2	3	0	154	214	285	499	131	193	33	6	215	32	—	—	—	—	—	—
2019	25	AA MLE	Binghamton Rumble Ponies	—	312	284	57	10	2	5	17	69	8	10	3	201	265	303	568	102	238	22	5	248	54	—	—	—	—	—	—
2021	27	AAA MLE	Syracuse Mets	—	252	226	38	8	2	8	15	84	11	10	1	168	254	327	581	159	223	33	6	256	59	—	—	—	—	—	—
2016	22	A MLE	2 teams	—	481	441	105	29	2	9	20	127	10	6	0	238	287	374	661	136	306	26	4	282	77	—	—	—	—	—	—
2016	22	A RAW	2 teams	—	481	432	121	34	2	11	29	90	10	6	0	280	340	444	784	164	324	19	6	342	77	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	591	548	125	26	1	10	30	120	7	9	7	228	277	334	611	106	271	20	5	273	71	—	—	—	—	—	—
2017	23	AA RAW	2 teams	—	591	534	144	36	3	17	44	103	7	9	7	270	333	444	777	174	302	17	7	342	71	—	—	—	—	—	—
2018	24	AAA MLE	Las Vegas 51s	—	73	67	14	4	0	1	3	26	3	2	2	209	274	313	587	104	325	36	4	256	59	—	—	—	—	—	—
2018	24	AAA RAW	Las Vegas 51s	—	73	66	17	5	0	1	4	20	3	2	2	258	329	379	708	121	356	27	5	321	59	—	—	—	—	—	—
2019	25	AA MLE	2 teams	—	456	414	76	18	2	7	25	116	10	13	3	184	247	287	535	104	232	25	5	238	47	—	—	—	—	—	—
2019	25	AA RAW	2 teams	—	456	405	88	22	2	9	34	101	10	13	3	217	294	348	642	131	262	22	7	287	47	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	292	264	44	10	2	9	17	98	11	10	1	167	247	322	569	155	223	34	6	256	59	—	—	—	—	—	—
2021	27	AAA RAW	2 teams	—	292	257	57	12	2	14	24	72	11	10	1	222	315	447	763	226	251	25	8	339	59	—	—	—	—	—	—
2016	22	A MLE	2 teams	—	481	448	105	29	2	9	20	127	10	6	0	234	287	368	655	134	293	26	4	282	77	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	591	549	125	26	1	10	30	120	7	9	7	228	277	333	610	106	269	20	5	273	71	—	—	—	—	—	—
2018	24	AAA MLE	Las Vegas 51s	—	73	67	14	4	0	1	3	26	3	2	2	209	274	313	587	104	329	36	4	256	59	—	—	—	—	—	—
2019	25	AA MLE	2 teams	—	456	418	76	18	2	7	25	116	10	13	3	182	247	285	532	103	224	25	5	238	47	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	292	262	44	10	2	9	17	98	11	10	1	168	247	324	571	156	223	34	6	256	59	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1893	1734	364	87	7	36	95	487	41	40	13	210	267	330	598	121	266	26	5	264	65	-80	+3	+0	+7	+41	-3.0
/ 162G	—	MLE		—	650	595	124	30	2	12	33	167	14	14	4	208	266	326	592	118	264	26	5	264	65	-27	+1	+0	+2	+14	-1.0

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.

2021 AAASyracuse Mets · 252 PAwOBA .344 → .256 (−88)K% 27.0% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.98%	÷0.966	×1.200	—	—	33.53%
BB% (unintentional) /PA	8.73%	÷1.006	×0.690	—	×0.992	5.94%
HBP% /PA	4.37%	—	×0.940	—	×0.992	4.07%
Singles /BIP	16.56%	÷1.032	×0.930	×0.950	×0.992	14.06%
Doubles /BIP	6.62%	÷0.897	×0.830	×0.950	×0.992	5.77%
Triples /BIP	1.32%	÷0.986	×0.920	×0.950	×0.992	1.16%
Home runs /BIP	8.61%	÷1.039	×0.700	—	×0.992	5.75%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — 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 → .256; ISO .242 → .165; BABIP .268 → .223. 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 AABinghamton Rumble Ponies · 312 PAwOBA .293 → .248 (−45)K% 19.6% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.55%	÷1.083	×1.220	—	—	22.02%
BB% (unintentional) /PA	7.37%	÷0.942	×0.700	—	×0.988	5.41%
HBP% /PA	2.56%	—	×0.850	—	×0.988	2.15%
Singles /BIP	20.28%	÷1.026	×0.970	×0.950	×0.988	18.00%
Doubles /BIP	5.53%	÷0.945	×0.860	×0.950	×0.988	4.72%
Triples /BIP	0.92%	÷0.900	×0.950	×0.950	×0.988	0.91%
Home runs /BIP	2.76%	÷1.012	×0.780	—	×0.988	2.11%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 105, 2B 89, 3B 80, K 117, BB 88 — 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 ×0.950.

Result: wOBA .293 → .248; ISO .122 → .102; BABIP .271 → .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).

2019 AAASyracuse Mets · 144 PAwOBA .266 → .215 (−51)K% 27.8% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.78%	÷1.020	×1.200	—	—	32.69%
BB% (unintentional) /PA	7.64%	÷0.966	×0.690	—	×1.018	5.56%
HBP% /PA	1.39%	—	×0.940	—	×1.018	1.33%
Singles /BIP	12.64%	÷1.042	×0.930	×0.950	×1.018	10.92%
Doubles /BIP	11.49%	÷1.060	×0.830	×0.950	×1.018	8.70%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×1.018	0.00%
Home runs /BIP	3.45%	÷0.960	×0.840	—	×1.018	3.07%

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 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 ×0.950.

Result: wOBA .266 → .215; ISO .150 → .123; BABIP .239 → .193. 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 · 73 PAwOBA .313 → .256 (−57)K% 27.4% → 35.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.40%	÷0.986	×1.290	—	—	35.85%
BB% (unintentional) /PA	5.48%	÷1.039	×0.710	—	×1.033	3.87%
HBP% /PA	4.11%	—	×0.980	—	×1.033	4.16%
Singles /BIP	23.91%	÷0.992	×0.900	—	×1.033	22.42%
Doubles /BIP	10.87%	÷0.918	×0.810	—	×1.033	9.91%
Triples /BIP	0.00%	÷0.959	×0.810	—	×1.033	0.00%
Home runs /BIP	2.17%	÷1.009	×0.780	—	×1.033	1.74%

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 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .313 → .256; ISO .121 → .094; BABIP .356 → .329. 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 · 529 PAwOBA .327 → .273 (−54)K% 17.4% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷1.046	×1.220	—	—	20.29%
BB% (unintentional) /PA	6.99%	÷0.986	×0.700	—	×1.012	5.03%
HBP% /PA	1.32%	—	×0.850	—	×1.012	1.14%
Singles /BIP	20.57%	÷0.971	×0.970	×0.978	×1.012	20.34%
Doubles /BIP	7.55%	÷1.056	×0.860	×0.978	×1.012	6.08%
Triples /BIP	0.26%	÷1.150	×0.950	×0.978	×1.012	0.21%
Home runs /BIP	4.17%	÷1.365	×0.780	—	×1.012	2.41%

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 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 ×0.978.

Result: wOBA .327 → .273; ISO .166 → .112; BABIP .291 → .269. 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 AColumbia Fireflies · 256 PAwOBA .356 → .295 (−61)K% 19.1% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.14%	÷0.987	×1.340	—	—	25.97%
BB% (unintentional) /PA	5.47%	÷1.039	×0.660	—	×0.990	3.44%
HBP% /PA	2.73%	—	×0.770	—	×0.990	2.08%
Singles /BIP	21.23%	÷0.964	×0.920	×1.005	×0.990	20.16%
Doubles /BIP	12.29%	÷0.986	×0.820	×1.005	×0.990	10.18%
Triples /BIP	1.12%	÷1.009	×0.940	×1.005	×0.990	1.04%
Home runs /BIP	2.79%	÷1.093	×0.820	—	×0.990	2.07%

Factors used: league row SAL. Park (home-season share, regressed): HR 119, 1B 93, 2B 97, 3B 102, K 97, BB 108 — 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 ×1.005.

Result: wOBA .356 → .295; ISO .180 → .142; BABIP .343 → .308. 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 A+St. Lucie Mets · 225 PAwOBA .319 → .268 (−51)K% 18.2% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.22%	÷0.959	×1.420	—	—	26.99%
BB% (unintentional) /PA	6.67%	÷1.032	×0.750	—	×0.998	4.84%
HBP% /PA	1.33%	—	×0.930	—	×0.998	1.24%
Singles /BIP	22.09%	÷0.994	×0.920	×0.975	×0.998	19.90%
Doubles /BIP	7.36%	÷0.956	×0.960	×0.975	×0.998	7.19%
Triples /BIP	0.00%	÷1.017	×0.810	×0.975	×0.998	0.00%
Home runs /BIP	3.68%	÷0.943	×0.880	—	×0.998	3.43%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 99, 2B 91, 3B 103, K 92, BB 106 — 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 ×0.975.

Result: wOBA .319 → .268; ISO .147 → .129; BABIP .302 → .277. 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 — .