Courtney Hawkins

PosLF

B/TR/R

Born1993-11-12

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	24	AA/A+2 orgs	100	.211/.276/.300	2	3	17	—	.163/.213/.217
2019	25	AAA/A+2 orgs	440	.244/.301/.478	23	2	60	—	.183/.230/.373
2020	26	INTLSultanes de M…	40	.133/.333/.233	0	0	74	—

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	18	A+	Winston-Salem Dash	—	18	17	5	2	0	1	0	2	0	0	1	294	294	588	882	294	286	11	0	359	110	—	—	—	—	—	—
2012	18	A	Kannapolis Intimidators	—	72	65	20	5	2	4	4	17	1	3	2	308	357	631	988	323	356	24	6	412	112	—	—	—	—	—	—
2012	18	ROK	Bristol White Sox	—	159	147	40	8	1	3	7	37	3	8	2	272	318	401	720	129	339	23	4	318	46	—	—	—	—	—	—
2013	19	A+	Winston-Salem Dash	—	425	383	68	16	3	19	29	160	9	10	5	178	252	384	636	206	236	38	7	280	7	—	—	—	—	—	—
2014	20	A+	Winston-Salem Dash	—	515	449	112	25	4	19	53	143	5	11	3	249	335	450	785	200	316	28	10	343	55	—	—	—	—	—	—
2015	21	AA	Birmingham Barons	—	330	300	73	19	2	9	20	100	5	1	4	243	302	410	712	167	332	30	6	312	57	—	—	—	—	—	—
2016	22	AA	Birmingham Barons	—	455	418	85	25	0	12	28	137	3	0	3	203	258	349	608	146	265	30	6	269	40	—	—	—	—	—	—
2016	22	INTL	Glendale Desert Dogs	—	79	73	16	5	0	1	5	23	0	0	0	219	269	329	598	110	300	29	6	266	66	—	—	—	—	—	—
2017	23	AA	Birmingham Barons	—	322	295	56	8	1	10	21	105	4	0	0	190	253	325	579	136	253	33	7	260	24	—	—	—	—	—	—
2017	23	A+	Winston-Salem Dash	—	18	18	4	0	0	2	0	4	0	0	0	222	222	556	778	333	167	22	0	332	30	—	—	—	—	—	—
2017	23	A	Kannapolis Intimidators	—	32	28	10	4	0	0	2	11	0	0	1	357	400	500	900	143	588	34	6	374	70	—	—	—	—	—	—
2018	24	AA	Birmingham Barons	—	29	25	3	1	0	0	2	10	0	0	0	120	185	160	345	40	176	34	7	155	-20	—	—	—	—	—	—
2018	24	A+	Daytona Tortugas	—	71	65	16	1	0	2	5	23	1	3	0	246	310	354	664	108	350	32	7	302	32	—	—	—	—	—	—
2019	25	AAA	Louisville Bats	—	57	54	9	4	0	2	1	21	1	0	1	167	196	352	548	185	226	37	2	236	4	—	—	—	—	—	—
2019	25	A+	San Jose Giants	—	383	348	89	21	0	21	29	91	2	2	5	256	317	497	814	241	285	24	8	352	68	—	—	—	—	—	—
2020	26	INTL	Sultanes de Monterrey	—	40	30	4	3	0	0	7	7	2	0	1	133	333	233	567	100	167	18	18	278	74	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	A+ MLE	Winston-Salem Dash	—	18	17	5	2	0	1	0	3	0	0	1	294	294	588	882	294	266	17	0	331	110	—	—	—	—	—	—
2012	18	A MLE	Kannapolis Intimidators	—	72	66	18	4	2	4	3	23	1	3	2	273	314	576	890	303	306	32	4	334	112	—	—	—	—	—	—
2012	18	ROK MLE	Bristol White Sox	—	159	150	31	6	1	2	4	52	3	8	2	207	242	300	542	93	290	33	3	236	46	—	—	—	—	—	—
2013	19	A+ MLE	Winston-Salem Dash	—	425	393	43	9	2	12	19	231	9	10	5	109	169	234	403	125	194	54	4	179	7	—	—	—	—	—	—
2014	20	A+ MLE	Winston-Salem Dash	—	515	470	86	16	2	14	32	211	5	11	3	183	243	315	557	132	281	41	6	249	55	—	—	—	—	—	—
2015	21	AA MLE	Birmingham Barons	—	330	306	63	18	2	6	14	124	5	1	4	206	252	337	589	131	309	38	4	253	57	—	—	—	—	—	—
2016	22	AA MLE	Birmingham Barons	—	455	426	75	24	0	10	20	169	3	0	3	176	218	303	521	127	251	37	4	227	40	—	—	—	—	—	—
2017	23	AA MLE	Birmingham Barons	—	322	302	46	6	1	8	14	131	4	0	0	152	200	258	458	106	225	41	4	203	24	—	—	—	—	—	—
2017	23	A+ MLE	Winston-Salem Dash	—	18	18	3	0	0	1	0	6	0	0	0	167	167	333	500	167	147	33	0	213	30	—	—	—	—	—	—
2017	23	A MLE	Kannapolis Intimidators	—	32	29	8	3	0	0	1	15	0	0	1	276	300	379	679	103	494	47	3	272	70	—	—	—	—	—	—
2018	24	AA MLE	Birmingham Barons	—	29	26	3	1	0	0	1	12	0	0	0	115	148	154	302	38	157	41	3	139	-20	—	—	—	—	—	—
2018	24	A+ MLE	Daytona Tortugas	—	71	66	12	1	0	1	4	32	1	3	0	182	239	242	482	61	309	45	6	215	32	—	—	—	—	—	—
2019	25	AAA MLE	Louisville Bats	—	57	54	7	3	0	2	1	26	1	0	1	130	161	296	457	167	190	46	2	174	4	—	—	—	—	—	—
2019	25	A+ MLE	San Jose Giants	—	383	356	68	15	0	18	21	125	2	2	5	191	240	385	625	194	228	33	5	268	68	—	—	—	—	—	—
2012	18	ROK MLE	3 teams	—	249	233	52	11	2	7	7	78	4	11	5	223	258	378	636	155	298	31	3	271	70	—	—	—	—	—	—
2012	18	ROK RAW	3 teams	—	249	229	65	15	3	8	11	56	4	11	5	284	328	480	808	197	339	22	4	348	70	—	—	—	—	—	—
2013	19	A+ MLE	Winston-Salem Dash	—	425	393	43	9	2	12	19	231	9	10	5	109	169	234	403	125	201	54	4	179	7	—	—	—	—	—	—
2013	19	A+ RAW	Winston-Salem Dash	—	425	383	68	16	3	19	29	160	9	10	5	178	252	384	636	206	236	38	7	280	7	—	—	—	—	—	—
2014	20	A+ MLE	Winston-Salem Dash	—	515	470	86	16	2	14	32	211	5	11	3	183	243	315	557	132	286	41	6	249	55	—	—	—	—	—	—
2014	20	A+ RAW	Winston-Salem Dash	—	515	449	112	25	4	19	53	143	5	11	3	249	335	450	785	200	316	28	10	343	55	—	—	—	—	—	—
2015	21	AA MLE	Birmingham Barons	—	330	306	63	18	2	6	14	124	5	1	4	206	252	337	589	131	320	38	4	253	57	—	—	—	—	—	—
2015	21	AA RAW	Birmingham Barons	—	330	300	73	19	2	9	20	100	5	1	4	243	302	410	712	167	332	30	6	312	57	—	—	—	—	—	—
2016	22	AA MLE	2 teams	—	534	501	88	28	0	12	23	198	3	0	3	176	216	303	520	128	255	37	4	227	40	—	—	—	—	—	—
2016	22	AA RAW	2 teams	—	534	491	101	30	0	13	33	160	3	0	3	206	260	346	606	141	271	30	6	268	40	—	—	—	—	—	—
2017	23	AA MLE	3 teams	—	372	349	57	9	1	10	15	152	4	0	1	163	207	281	487	117	249	41	4	209	28	—	—	—	—	—	—
2017	23	AA RAW	3 teams	—	372	341	70	12	1	12	23	120	4	0	1	205	264	352	615	147	275	32	6	273	28	—	—	—	—	—	—
2018	24	A+ MLE	2 teams	—	100	92	14	2	0	1	5	44	1	3	0	152	204	207	411	54	265	44	5	193	17	—	—	—	—	—	—
2018	24	A+ RAW	2 teams	—	100	90	19	2	0	2	7	33	1	3	0	211	276	300	576	89	298	33	7	259	17	—	—	—	—	—	—
2019	25	A+ MLE	2 teams	—	440	411	76	18	0	20	21	151	3	2	6	185	230	375	605	190	230	34	5	256	59	—	—	—	—	—	—
2019	25	A+ RAW	2 teams	—	440	402	98	25	0	23	30	112	3	2	6	244	301	478	779	234	278	25	7	337	59	—	—	—	—	—	—
2020	26	INTL MLE	Sultanes de Monterrey	—	40	30	4	3	0	0	7	7	2	0	1	133	333	233	567	100	167	18	18	—	—	—	—	—	—	—	—
2020	26	INTL RAW	Sultanes de Monterrey	—	40	30	4	3	0	0	7	7	2	0	1	133	333	233	567	100	167	18	18	278	74	—	—	—	—	—	—
2012	18	ROK MLE	3 teams	—	249	236	52	11	2	7	7	78	4	11	5	220	258	373	631	153	293	31	3	271	70	—	—	—	—	—	—
2013	19	A+ MLE	Winston-Salem Dash	—	425	394	43	9	2	12	19	231	9	10	5	109	169	234	402	124	194	54	4	179	7	—	—	—	—	—	—
2014	20	A+ MLE	Winston-Salem Dash	—	515	473	86	16	2	14	32	211	5	11	3	182	243	313	555	131	281	41	6	249	55	—	—	—	—	—	—
2015	21	AA MLE	Birmingham Barons	—	330	308	63	18	2	6	14	124	5	1	4	205	252	334	587	130	309	38	4	253	57	—	—	—	—	—	—
2016	22	AA MLE	2 teams	—	534	503	88	28	0	12	23	198	3	0	3	175	216	302	519	127	251	37	4	227	40	—	—	—	—	—	—
2017	23	AA MLE	3 teams	—	372	350	57	9	1	10	15	152	4	0	1	163	207	280	487	117	244	41	4	209	28	—	—	—	—	—	—
2018	24	A+ MLE	2 teams	—	100	94	14	2	0	1	5	44	1	3	0	149	204	202	406	53	265	44	5	193	17	—	—	—	—	—	—
2019	25	A+ MLE	2 teams	—	440	413	76	18	0	20	21	151	3	2	6	184	230	373	603	189	223	34	5	256	59	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3005	2785	483	114	9	82	143	1196	36	38	28	173	223	309	533	136	261	40	5	228	41	-212	-4	+0	-32	+65	-18.6
/ 162G	—	MLE		—	650	602	105	25	2	18	31	259	8	8	6	174	225	312	537	138	262	40	5	228	41	-46	-1	+0	-7	+14	-4.0

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.

2019 A+San Jose Giants · 383 PAwOBA .344 → .268 (−76)K% 23.8% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.76%	÷0.975	×1.340	—	—	32.66%
BB% (unintentional) /PA	7.31%	÷0.936	×0.710	—	×0.968	5.37%
HBP% /PA	0.52%	—	×0.790	—	×0.968	0.40%
Singles /BIP	18.29%	÷1.017	×0.910	×0.950	×0.968	15.05%
Doubles /BIP	8.17%	÷0.973	×0.820	×0.950	×0.968	6.33%
Triples /BIP	0.00%	÷0.903	×0.760	×0.950	×0.968	0.00%
Home runs /BIP	8.17%	÷0.947	×0.920	—	×0.968	7.68%

Factors used: league row CAL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 81, K 95, BB 87 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .344 → .268; ISO .241 → .199; BABIP .285 → .228. 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 AAALouisville Bats · 57 PAwOBA .229 → .174 (−55)K% 36.8% → 46.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.84%	÷0.960	×1.200	—	—	46.03%
BB% (unintentional) /PA	1.75%	÷1.151	×0.690	—	×1.018	1.07%
HBP% /PA	1.75%	—	×0.940	—	×1.018	1.68%
Singles /BIP	9.09%	÷1.018	×0.930	—	×1.018	8.46%
Doubles /BIP	12.12%	÷1.082	×0.830	—	×1.018	9.47%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.018	0.00%
Home runs /BIP	6.06%	÷0.957	×0.840	—	×1.018	5.41%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 116, 3B 130, K 92, BB 130 — 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).

Result: wOBA .229 → .174; ISO .185 → .139; BABIP .226 → .190. 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 A+Daytona Tortugas · 71 PAwOBA .294 → .215 (−79)K% 32.4% → 44.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.39%	÷1.035	×1.420	—	—	44.45%
BB% (unintentional) /PA	7.04%	÷0.994	×0.750	—	×0.978	5.20%
HBP% /PA	1.41%	—	×0.930	—	×0.978	1.28%
Singles /BIP	30.95%	÷1.006	×0.920	—	×0.978	27.69%
Doubles /BIP	2.38%	÷1.088	×0.960	—	×0.978	2.06%
Triples /BIP	0.00%	÷1.047	×0.810	—	×0.978	0.00%
Home runs /BIP	4.76%	÷1.058	×0.880	—	×0.978	3.87%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 101, 2B 118, 3B 109, K 107, BB 99 — 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).

Result: wOBA .294 → .215; ISO .108 → .073; BABIP .350 → .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).

2018 AABirmingham Barons · 29 PAwOBA .162 → .139 (−24)K% 34.5% → 41.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.48%	÷1.006	×1.220	—	—	41.80%
BB% (unintentional) /PA	6.90%	÷0.954	×0.680	—	×0.998	4.91%
HBP% /PA	0.00%	—	×0.840	—	×0.998	0.00%
Singles /BIP	13.33%	÷1.069	×0.920	—	×0.998	11.45%
Doubles /BIP	6.67%	÷0.969	×0.910	—	×0.998	6.25%
Triples /BIP	0.00%	÷1.150	×0.880	—	×0.998	0.00%
Home runs /BIP	0.00%	÷0.949	×0.800	—	×0.998	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 90, 1B 114, 2B 94, 3B 130, K 101, BB 91 — 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).

Result: wOBA .162 → .139; ISO .040 → .039; BABIP .176 → .157. 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 AABirmingham Barons · 322 PAwOBA .253 → .203 (−51)K% 32.6% → 40.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.61%	÷0.980	×1.220	—	—	40.61%
BB% (unintentional) /PA	6.21%	÷1.001	×0.680	—	×1.012	4.27%
HBP% /PA	1.24%	—	×0.840	—	×1.012	1.06%
Singles /BIP	19.47%	÷1.009	×0.920	×0.976	×1.012	17.54%
Doubles /BIP	4.21%	÷1.021	×0.910	×0.976	×1.012	3.71%
Triples /BIP	0.53%	÷1.086	×0.880	×0.976	×1.012	0.42%
Home runs /BIP	5.26%	÷0.894	×0.800	—	×1.012	4.77%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 102, 2B 104, 3B 117, K 96, BB 100 — 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 ×0.976.

Result: wOBA .253 → .203; ISO .136 → .111; BABIP .253 → .225. 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 AKannapolis Intimidators · 32 PAwOBA .364 → .272 (−91)K% 34.4% → 47.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.38%	÷0.979	×1.340	—	—	47.06%
BB% (unintentional) /PA	6.25%	÷0.975	×0.660	—	×0.980	4.14%
HBP% /PA	0.00%	—	×0.770	—	×0.980	0.00%
Singles /BIP	35.29%	÷1.001	×0.920	—	×0.980	31.78%
Doubles /BIP	23.53%	÷1.070	×0.820	—	×0.980	17.67%
Triples /BIP	0.00%	÷1.150	×0.940	—	×0.980	0.00%
Home runs /BIP	0.00%	÷0.824	×0.820	—	×0.980	0.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 65, 1B 100, 2B 114, 3B 130, K 96, BB 95 — 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).

Result: wOBA .364 → .272; ISO .143 → .099; BABIP .588 → .494. 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 A+Winston-Salem Dash · 18 PAwOBA .320 → .213 (−107)K% 22.2% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.966	×1.420	—	—	32.65%
BB% (unintentional) /PA	0.00%	÷1.046	×0.630	—	×0.988	0.00%
HBP% /PA	0.00%	—	×0.860	—	×0.988	0.00%
Singles /BIP	14.29%	÷0.999	×0.940	—	×0.988	13.28%
Doubles /BIP	0.00%	÷1.080	×0.830	—	×0.988	0.00%
Triples /BIP	0.00%	÷0.902	×0.800	—	×0.988	0.00%
Home runs /BIP	14.29%	÷1.275	×0.900	—	×0.988	9.96%

Factors used: league row CAR. Park (home-season share, regressed): HR 155, 1B 100, 2B 116, 3B 80, K 93, BB 109 — 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).

Result: wOBA .320 → .213; ISO .333 → .201; BABIP .167 → .147. 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 AABirmingham Barons · 455 PAwOBA .265 → .227 (−38)K% 30.1% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.11%	÷0.991	×1.220	—	—	37.05%
BB% (unintentional) /PA	6.15%	÷0.990	×0.680	—	×1.027	4.34%
HBP% /PA	0.66%	—	×0.840	—	×1.027	0.57%
Singles /BIP	17.08%	÷1.004	×0.920	×0.973	×1.027	15.64%
Doubles /BIP	8.90%	÷0.897	×0.910	×0.973	×1.027	9.02%
Triples /BIP	0.00%	÷1.150	×0.880	×0.973	×1.027	0.00%
Home runs /BIP	4.27%	÷0.918	×0.800	—	×1.027	3.82%

Factors used: league row SL. Park (home-season share, regressed): HR 84, 1B 101, 2B 79, 3B 130, K 98, BB 98 — 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 ×0.973.

Result: wOBA .265 → .227; ISO .146 → .129; BABIP .265 → .251. 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 — .