Darnell Sweeney

PosLF

B/TS/R

Born1991-02-01

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	27	AAATOR	332	.236/.316/.411	10	6	55	—	.190/.255/.313
2019	28	AAA/AAPIT	153	.214/.272/.364	4	2	34	—	.175/.219/.308
2021	30	INTLVenados de Ma…	90	.197/.315/.250	0	2	68	—

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	21	A	Great Lakes Loons	—	229	199	58	8	4	5	24	41	2	17	4	291	373	447	821	156	344	18	10	360	88	—	—	—	—	—	—
2012	21	ROK	Ogden Raptors	—	79	66	20	1	2	0	9	8	1	10	2	303	395	379	774	76	328	10	11	341	63	—	—	—	—	—	—
2013	22	A+	Rancho Cucamonga Quakes	—	613	552	152	34	16	11	43	151	5	48	20	275	333	455	788	179	355	25	7	340	73	—	—	—	—	—	—
2014	23	AA	Chattanooga Lookouts	—	586	490	141	34	5	14	77	117	5	15	16	288	390	463	853	176	350	20	13	372	97	—	—	—	—	—	—
2014	23	INTL	Glendale Desert Dogs	—	88	79	25	6	0	2	8	19	1	3	4	316	386	468	855	152	397	22	9	381	144	—	—	—	—	—	—
2015	24	MLB	Philadelphia Phillies	—	98	85	15	4	1	3	13	27	0	0	2	176	286	353	639	176	218	28	13	290	80	-2	-1	-4	-7	+2	-1.2
2015	24	AAA	Oklahoma City Dodgers	—	522	472	128	30	4	9	42	116	3	32	13	271	335	409	744	138	339	22	8	330	70	—	—	—	—	—	—
2016	25	AAA	Lehigh Valley IronPigs	—	447	400	93	17	5	6	38	100	1	12	11	233	301	345	646	112	293	22	9	287	56	—	—	—	—	—	—
2017	26	AAA	Louisville Bats	—	494	443	118	26	4	11	46	109	3	18	14	266	339	418	757	151	329	22	9	337	75	—	—	—	—	—	—
2018	27	AAA	Buffalo Bisons	—	332	292	69	13	4	10	31	113	3	6	5	236	316	411	727	175	339	34	9	319	55	—	—	—	—	—	—
2019	28	AAA	Indianapolis Indians	—	98	89	20	4	1	2	5	35	2	2	1	225	281	360	641	135	346	36	5	282	40	—	—	—	—	—	—
2019	28	AA	Altoona Curve	—	55	51	10	3	0	2	4	22	0	0	2	196	255	373	627	176	296	40	7	279	23	—	—	—	—	—	—
2021	30	INTL	Venados de Mazatlan	—	90	76	15	2	1	0	12	20	1	2	2	197	315	250	565	53	268	22	13	268	68	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	98	85	15	4	1	3	13	27	0	0	2	176	286	353	639	176	218	28	13	290	82	-2	-1	-4	-7	+2	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	A MLE	Great Lakes Loons	—	229	207	53	6	4	4	16	56	2	17	4	256	316	382	697	126	321	24	7	298	88	—	—	—	—	—	—
2012	21	ROK MLE	Ogden Raptors	—	79	70	16	1	1	0	5	12	1	10	2	229	289	271	561	43	254	15	6	262	63	—	—	—	—	—	—
2013	22	A+ MLE	Rancho Cucamonga Quakes	—	613	564	130	26	12	10	31	199	5	48	20	230	277	372	649	142	318	32	5	276	73	—	—	—	—	—	—
2014	23	AA MLE	Chattanooga Lookouts	—	586	516	131	31	4	12	51	147	5	15	16	254	327	399	726	145	317	25	9	311	97	—	—	—	—	—	—
2015	24	MLB MLE	Philadelphia Phillies	—	98	85	15	4	1	3	13	27	0	0	2	176	286	353	639	176	218	28	13	286	80	-2	-1	-4	-7	+2	-1.2
2015	24	AAA MLE	Oklahoma City Dodgers	—	522	488	111	25	3	8	26	152	3	32	13	227	271	340	611	113	309	29	5	272	70	—	—	—	—	—	—
2016	25	AAA MLE	Lehigh Valley IronPigs	—	447	412	89	15	5	6	26	118	1	12	11	216	264	320	585	104	276	26	6	251	56	—	—	—	—	—	—
2017	26	AAA MLE	Louisville Bats	—	494	459	106	21	4	9	30	133	3	18	14	231	283	353	635	122	302	27	6	279	75	—	—	—	—	—	—
2018	27	AAA MLE	Buffalo Bisons	—	332	300	57	10	3	7	23	136	3	6	5	190	255	313	568	123	296	41	7	250	55	—	—	—	—	—	—
2019	28	AAA MLE	Indianapolis Indians	—	98	91	17	3	1	2	3	41	2	2	1	187	229	308	537	121	310	42	3	228	40	—	—	—	—	—	—
2019	28	AA MLE	Altoona Curve	—	55	52	8	2	0	2	3	28	0	0	2	154	200	308	508	154	261	51	5	202	23	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	308	277	69	7	5	4	21	67	3	27	6	249	309	354	663	105	310	22	7	289	82	—	—	—	—	—	—
2012	21	A RAW	2 teams	—	308	265	78	9	6	5	33	49	3	27	6	294	379	430	809	136	340	16	11	355	82	—	—	—	—	—	—
2013	22	A+ MLE	Rancho Cucamonga Quakes	—	613	564	130	26	12	10	31	199	5	48	20	230	277	372	649	142	331	32	5	276	73	—	—	—	—	—	—
2013	22	A+ RAW	Rancho Cucamonga Quakes	—	613	552	152	34	16	11	43	151	5	48	20	275	333	455	788	179	355	25	7	340	73	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	674	595	151	36	5	13	59	169	6	18	20	254	327	397	724	143	331	25	9	311	97	—	—	—	—	—	—
2014	23	AA RAW	2 teams	—	674	569	166	40	5	16	85	136	6	18	20	292	389	464	853	172	356	20	13	373	97	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	620	573	127	30	4	11	39	179	3	32	15	222	275	346	620	124	300	29	6	274	72	—	—	—	—	—	—
2015	24	AAA RAW	2 teams	—	620	557	143	34	5	12	55	143	3	32	15	257	327	400	727	144	323	23	9	323	72	—	—	—	—	—	—
2016	25	AAA MLE	Lehigh Valley IronPigs	—	447	412	89	15	5	6	26	118	1	12	11	216	264	320	585	104	285	26	6	251	56	—	—	—	—	—	—
2016	25	AAA RAW	Lehigh Valley IronPigs	—	447	400	93	17	5	6	38	100	1	12	11	233	301	345	646	112	293	22	9	287	56	—	—	—	—	—	—
2017	26	AAA MLE	Louisville Bats	—	494	459	106	21	4	9	30	133	3	18	14	231	283	353	635	122	304	27	6	279	75	—	—	—	—	—	—
2017	26	AAA RAW	Louisville Bats	—	494	443	118	26	4	11	46	109	3	18	14	266	339	418	757	151	329	22	9	337	75	—	—	—	—	—	—
2018	27	AAA MLE	Buffalo Bisons	—	332	300	57	10	3	7	23	136	3	6	5	190	255	313	568	123	309	41	7	250	55	—	—	—	—	—	—
2018	27	AAA RAW	Buffalo Bisons	—	332	292	69	13	4	10	31	113	3	6	5	236	316	411	727	175	339	34	9	319	55	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	153	143	24	5	1	3	6	69	2	2	3	168	212	280	492	112	296	45	4	219	34	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	153	140	30	7	1	4	9	57	2	2	3	214	272	364	636	150	329	37	6	281	34	—	—	—	—	—	—
2021	30	INTL MLE	Venados de Mazatlan	—	90	76	15	2	1	0	12	20	1	2	2	197	315	250	565	53	268	22	13	—	—	—	—	—	—	—	—
2021	30	INTL RAW	Venados de Mazatlan	—	90	76	15	2	1	0	12	20	1	2	2	197	315	250	565	53	268	22	13	268	68	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	308	281	69	7	5	4	21	67	3	27	6	246	309	349	658	103	304	22	7	289	82	—	—	—	—	—	—
2013	22	A+ MLE	Rancho Cucamonga Quakes	—	613	572	130	26	12	10	31	199	5	48	20	227	277	367	644	140	318	32	5	276	73	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	674	604	151	36	5	13	59	169	6	18	20	250	327	391	718	141	317	25	9	311	97	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	620	573	127	30	4	11	39	179	3	32	15	222	275	346	620	124	295	29	6	274	72	—	—	—	—	—	—
2016	25	AAA MLE	Lehigh Valley IronPigs	—	447	417	89	15	5	6	26	118	1	12	11	213	264	317	581	103	276	26	6	251	56	—	—	—	—	—	—
2017	26	AAA MLE	Louisville Bats	—	494	458	106	21	4	9	30	133	3	18	14	231	283	354	636	122	302	27	6	279	75	—	—	—	—	—	—
2018	27	AAA MLE	Buffalo Bisons	—	332	303	57	10	3	7	23	136	3	6	5	188	255	310	565	122	296	41	7	250	55	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	153	144	24	5	1	3	6	69	2	2	3	167	212	278	490	111	292	45	4	219	34	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	98	85	15	4	1	3	13	27	0	0	2	176	286	353	639	176	218	28	13	290	68	-2	-1	-4	-7	+2	-1.1
/ 162G	—	A+C		—	650	564	100	27	7	20	86	179	0	0	13	177	286	356	643	179	219	28	13	290	68	-14	-5	-25	-44	+14	-7.6
Career	—	MLE		—	3731	3399	768	152	40	63	247	1090	27	165	96	226	284	350	634	124	310	29	7	269	68	-2	-1	-4	-7	+2	-1.1
/ 162G	—	MLE		—	650	592	133	26	7	11	43	190	5	29	17	225	283	348	631	123	308	29	7	269	68	-14	-5	-25	-44	+14	-7.6

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.

2019 AAAIndianapolis Indians · 98 PAwOBA .274 → .228 (−46)K% 35.7% → 42.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.71%	÷1.013	×1.200	—	—	42.31%
BB% (unintentional) /PA	5.10%	÷1.010	×0.690	—	×0.992	3.46%
HBP% /PA	2.04%	—	×0.940	—	×0.992	1.90%
Singles /BIP	24.07%	÷1.026	×0.930	—	×0.992	21.66%
Doubles /BIP	7.41%	÷0.901	×0.830	—	×0.992	6.77%
Triples /BIP	1.85%	÷1.150	×0.970	—	×0.992	1.55%
Home runs /BIP	3.70%	÷0.953	×0.840	—	×0.992	3.24%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 80, 3B 130, K 103, BB 102 — 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).

Result: wOBA .274 → .228; ISO .135 → .113; BABIP .346 → .310. 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 AAAltoona Curve · 55 PAwOBA .271 → .202 (−69)K% 40.0% → 50.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	40.00%	÷0.959	×1.220	—	—	50.89%
BB% (unintentional) /PA	7.27%	÷0.958	×0.700	—	×0.968	5.14%
HBP% /PA	0.00%	—	×0.850	—	×0.968	0.00%
Singles /BIP	17.24%	÷1.009	×0.970	—	×0.968	16.05%
Doubles /BIP	10.34%	÷1.038	×0.860	—	×0.968	8.30%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.968	0.00%
Home runs /BIP	6.90%	÷0.783	×0.780	—	×0.968	6.65%

Factors used: league row EL. Park (home-season share, regressed): HR 57, 1B 102, 2B 108, 3B 130, K 92, BB 92 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .271 → .202; ISO .176 → .134; BABIP .296 → .261. 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 AAABuffalo Bisons · 332 PAwOBA .315 → .250 (−65)K% 34.0% → 41.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.04%	÷0.993	×1.200	—	—	41.14%
BB% (unintentional) /PA	9.34%	÷0.954	×0.690	—	×1.003	6.78%
HBP% /PA	0.90%	—	×0.940	—	×1.003	0.85%
Singles /BIP	23.46%	÷0.970	×0.930	×0.954	×1.003	21.52%
Doubles /BIP	7.26%	÷0.987	×0.830	×0.954	×1.003	5.84%
Triples /BIP	2.23%	÷1.150	×0.970	×0.954	×1.003	1.80%
Home runs /BIP	5.59%	÷1.080	×0.840	—	×1.003	4.36%

Factors used: league row IL. Park (home-season share, regressed): HR 116, 1B 94, 2B 97, 3B 130, K 99, BB 91 — 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 ×0.954.

Result: wOBA .315 → .250; ISO .175 → .131; BABIP .339 → .296. 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 AAALouisville Bats · 494 PAwOBA .328 → .279 (−49)K% 22.1% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.06%	÷0.985	×1.200	—	—	26.89%
BB% (unintentional) /PA	8.70%	÷1.015	×0.690	—	×1.018	6.02%
HBP% /PA	0.61%	—	×0.940	—	×1.018	0.58%
Singles /BIP	23.05%	÷1.038	×0.930	×1.044	×1.018	21.93%
Doubles /BIP	7.78%	÷1.051	×0.830	×1.044	×1.018	6.53%
Triples /BIP	1.20%	÷1.113	×0.970	×1.044	×1.018	1.11%
Home runs /BIP	3.29%	÷1.042	×0.840	—	×1.018	2.70%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 108, 2B 110, 3B 123, K 97, 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 ×1.044.

Result: wOBA .328 → .279; ISO .151 → .125; BABIP .329 → .302. 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 AAALehigh Valley IronPigs · 447 PAwOBA .282 → .251 (−31)K% 22.4% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.37%	÷1.018	×1.200	—	—	26.37%
BB% (unintentional) /PA	8.50%	÷1.035	×0.690	—	×1.033	5.86%
HBP% /PA	0.22%	—	×0.940	—	×1.033	0.22%
Singles /BIP	21.67%	÷1.028	×0.930	×1.033	×1.033	20.92%
Doubles /BIP	5.67%	÷1.018	×0.830	×1.033	×1.033	4.93%
Triples /BIP	1.67%	÷1.107	×0.970	×1.033	×1.033	1.56%
Home runs /BIP	2.00%	÷0.942	×0.840	—	×1.033	1.84%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 106, 2B 104, 3B 121, K 104, BB 107 — 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 ×1.033.

Result: wOBA .282 → .251; ISO .113 → .102; BABIP .293 → .276. 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 AAAOklahoma City Dodgers · 522 PAwOBA .321 → .272 (−49)K% 22.2% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.984	×1.290	—	—	29.13%
BB% (unintentional) /PA	7.28%	÷1.095	×0.710	—	×1.048	4.95%
HBP% /PA	0.57%	—	×0.980	—	×1.048	0.59%
Singles /BIP	23.88%	÷1.028	×0.900	×1.008	×1.048	22.08%
Doubles /BIP	8.43%	÷0.965	×0.810	×1.008	×1.048	7.47%
Triples /BIP	1.12%	÷0.941	×0.810	×1.008	×1.048	1.02%
Home runs /BIP	2.53%	÷0.866	×0.780	—	×1.048	2.39%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 93, 3B 88, K 97, BB 119 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .321 → .272; ISO .138 → .120; BABIP .339 → .309. 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 AAChattanooga Lookouts · 586 PAwOBA .364 → .311 (−53)K% 20.0% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.97%	÷0.972	×1.220	—	—	25.07%
BB% (unintentional) /PA	12.97%	÷1.036	×0.680	—	×1.027	8.75%
HBP% /PA	0.85%	—	×0.840	—	×1.027	0.74%
Singles /BIP	23.59%	÷1.014	×0.920	×1.000	×1.027	21.97%
Doubles /BIP	9.12%	÷1.053	×0.910	×1.000	×1.027	8.09%
Triples /BIP	1.34%	÷1.150	×0.880	×1.000	×1.027	1.05%
Home runs /BIP	3.75%	÷1.026	×0.800	—	×1.027	3.01%

Factors used: league row SL. Park (home-season share, regressed): HR 105, 1B 103, 2B 111, 3B 130, K 94, BB 107 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .364 → .311; ISO .176 → .150; BABIP .350 → .317. 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+Rancho Cucamonga Quakes · 613 PAwOBA .334 → .276 (−58)K% 24.6% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.63%	÷1.018	×1.340	—	—	32.42%
BB% (unintentional) /PA	6.85%	÷0.971	×0.710	—	×1.012	5.07%
HBP% /PA	0.82%	—	×0.790	—	×1.012	0.65%
Singles /BIP	22.69%	÷0.993	×0.910	×1.024	×1.012	21.54%
Doubles /BIP	8.48%	÷1.038	×0.820	×1.024	×1.012	6.94%
Triples /BIP	3.99%	÷1.027	×0.760	×1.024	×1.012	3.06%
Home runs /BIP	2.74%	÷0.980	×0.920	—	×1.012	2.60%

Factors used: league row CAL. Park (home-season share, regressed): HR 96, 1B 99, 2B 108, 3B 105, K 104, BB 94 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .334 → .276; ISO .179 → .143; BABIP .355 → .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 — .