Drew Ward

Pos3B

B/TL/R

Born1994-11-25

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	24	AAA/AA2 orgs	322	.274/.328/.520	17	1	67	—	.204/.244/.368
2021	26	AADET	316	.240/.330/.458	16	1	70	—	.197/.269/.352
2022	27	INTLMayos de Navo…	53	.214/.377/.238	0	0	93	—

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)
2013	18	ROK	GCL Nationals	—	199	168	49	13	0	1	25	44	6	2	4	292	402	387	789	95	390	22	13	363	61	—	—	—	—	—	—
2014	19	A	Hagerstown Suns	—	478	431	116	26	3	10	42	121	5	2	2	269	341	413	754	144	353	25	9	338	68	—	—	—	—	—	—
2015	20	A+	Potomac Nationals	—	426	377	94	19	2	6	39	110	6	2	1	249	329	358	687	109	333	26	9	311	55	—	—	—	—	—	—
2015	20	ROK	GCL Nationals	—	16	13	2	0	0	1	3	8	0	0	0	154	312	385	697	231	250	50	19	317	-10	—	—	—	—	—	—
2015	20	INTL	Salt River Rafters	—	43	31	3	2	0	0	11	9	0	0	0	97	333	161	495	65	130	21	26	259	62	—	—	—	—	—	—
2016	21	AA	Harrisburg Senators	—	203	178	39	7	0	3	22	51	2	0	1	219	312	309	621	90	288	25	11	287	51	—	—	—	—	—	—
2016	21	A+	Potomac Nationals	—	268	230	64	16	0	11	34	70	3	0	1	278	378	491	870	213	353	26	13	384	87	—	—	—	—	—	—
2016	21	INTL	Glendale Desert Dogs	—	92	81	25	6	0	0	10	21	1	1	1	309	391	383	774	74	417	23	11	354	126	—	—	—	—	—	—
2017	22	AA	Harrisburg Senators	—	480	413	97	20	0	10	55	131	4	0	0	235	331	356	686	121	311	27	11	309	73	—	—	—	—	—	—
2018	23	AAA	Syracuse Chiefs	—	61	54	10	2	0	0	7	20	0	0	1	185	279	222	501	37	294	33	11	241	22	—	—	—	—	—	—
2018	23	AA	Harrisburg Senators	—	380	320	83	16	4	13	55	95	5	1	1	259	376	456	833	197	330	25	14	372	92	—	—	—	—	—	—
2019	24	AAA	Fresno Grizzlies	—	117	111	32	6	0	8	6	46	0	1	0	288	325	559	883	270	421	39	5	383	61	—	—	—	—	—	—
2019	24	AA	Harrisburg Senators	—	205	185	49	14	1	9	15	74	3	0	0	265	330	497	827	232	385	36	7	359	70	—	—	—	—	—	—
2021	26	AA	Erie SeaWolves	—	316	275	66	10	1	16	33	105	4	1	2	240	330	458	788	218	316	33	10	345	70	—	—	—	—	—	—
2022	27	INTL	Mayos de Navojoa	—	53	42	9	1	0	0	10	13	1	0	0	214	377	238	615	24	310	25	19	306	93	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	GCL Nationals	—	199	177	38	9	0	1	16	63	6	2	4	215	302	282	584	68	322	32	8	258	61	—	—	—	—	—	—
2014	19	A MLE	Hagerstown Suns	—	478	444	100	21	2	8	29	166	5	2	2	225	280	336	616	110	338	35	6	269	68	—	—	—	—	—	—
2015	20	A+ MLE	Potomac Nationals	—	426	391	82	15	2	6	25	155	6	2	1	210	268	304	572	95	320	36	6	250	55	—	—	—	—	—	—
2015	20	ROK MLE	GCL Nationals	—	16	14	0	0	0	0	2	12	0	0	0		125		125		191	75	12	153	-10	—	—	—	—	—	—
2016	21	AA MLE	Harrisburg Senators	—	203	184	38	7	0	2	16	64	2	0	1	207	277	277	554	71	293	32	8	244	51	—	—	—	—	—	—
2016	21	A+ MLE	Potomac Nationals	—	268	245	56	13	0	9	19	102	3	0	1	229	292	392	684	163	344	38	7	297	87	—	—	—	—	—	—
2017	22	AA MLE	Harrisburg Senators	—	480	428	95	18	0	8	40	156	4	0	0	222	294	320	615	98	311	32	8	276	73	—	—	—	—	—	—
2018	23	AAA MLE	Syracuse Chiefs	—	61	56	9	2	0	0	5	23	0	0	1	161	230	196	426	36	275	38	8	200	22	—	—	—	—	—	—
2018	23	AA MLE	Harrisburg Senators	—	380	337	77	14	4	11	38	117	5	1	1	228	316	392	707	163	309	31	10	304	92	—	—	—	—	—	—
2019	24	AAA MLE	Fresno Grizzlies	—	117	113	22	4	0	5	4	62	0	1	0	195	222	363	585	168	387	53	3	259	61	—	—	—	—	—	—
2019	24	AA MLE	Harrisburg Senators	—	205	191	40	11	1	6	9	91	3	0	0	209	256	372	628	162	349	44	4	272	70	—	—	—	—	—	—
2021	26	AA MLE	Erie SeaWolves	—	316	284	56	9	1	11	24	125	4	1	2	197	269	352	621	155	286	40	8	271	70	—	—	—	—	—	—
2013	18	ROK MLE	GCL Nationals	—	199	177	38	9	0	1	16	63	6	2	4	215	302	282	584	68	327	32	8	258	61	—	—	—	—	—	—
2013	18	ROK RAW	GCL Nationals	—	199	168	49	13	0	1	25	44	6	2	4	292	402	387	789	95	390	22	13	363	61	—	—	—	—	—	—
2014	19	A MLE	Hagerstown Suns	—	478	444	100	21	2	8	29	166	5	2	2	225	280	336	616	110	341	35	6	269	68	—	—	—	—	—	—
2014	19	A RAW	Hagerstown Suns	—	478	431	116	26	3	10	42	121	5	2	2	269	341	413	754	144	353	25	9	338	68	—	—	—	—	—	—
2015	20	A+ MLE	3 teams	—	485	445	92	17	2	7	29	183	6	2	1	207	265	301	566	94	328	38	6	246	53	—	—	—	—	—	—
2015	20	A+ RAW	3 teams	—	485	421	99	21	2	7	53	127	6	2	1	235	329	344	674	109	316	26	11	306	53	—	—	—	—	—	—
2016	21	A+ MLE	3 teams	—	563	513	110	23	0	12	42	198	6	1	3	214	282	329	611	115	321	35	7	274	72	—	—	—	—	—	—
2016	21	A+ RAW	3 teams	—	563	489	128	29	0	14	66	142	6	1	3	262	357	407	763	145	340	25	12	344	72	—	—	—	—	—	—
2017	22	AA MLE	Harrisburg Senators	—	480	428	95	18	0	8	40	156	4	0	0	222	294	320	615	98	320	32	8	276	73	—	—	—	—	—	—
2017	22	AA RAW	Harrisburg Senators	—	480	413	97	20	0	10	55	131	4	0	0	235	331	356	686	121	311	27	11	309	73	—	—	—	—	—	—
2018	23	AA MLE	2 teams	—	441	393	85	15	4	11	43	140	5	1	2	216	302	359	660	142	306	32	10	290	82	—	—	—	—	—	—
2018	23	AA RAW	2 teams	—	441	374	93	18	4	13	62	115	5	1	2	249	363	422	785	174	325	26	14	354	82	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	322	303	63	15	1	11	14	153	3	1	0	208	250	373	623	165	369	48	4	267	67	—	—	—	—	—	—
2019	24	AA RAW	2 teams	—	322	296	81	20	1	17	21	120	3	1	0	274	328	520	848	247	398	37	7	368	67	—	—	—	—	—	—
2021	26	AA MLE	Erie SeaWolves	—	316	284	56	9	1	11	24	125	4	1	2	197	269	352	621	155	296	40	8	271	70	—	—	—	—	—	—
2021	26	AA RAW	Erie SeaWolves	—	316	275	66	10	1	16	33	105	4	1	2	240	330	458	788	218	316	33	10	345	70	—	—	—	—	—	—
2022	27	INTL MLE	Mayos de Navojoa	—	53	42	9	1	0	0	10	13	1	0	0	214	377	238	615	24	310	25	19	—	—	—	—	—	—	—	—
2022	27	INTL RAW	Mayos de Navojoa	—	53	42	9	1	0	0	10	13	1	0	0	214	377	238	615	24	310	25	19	306	93	—	—	—	—	—	—
2013	18	ROK MLE	GCL Nationals	—	199	175	38	9	0	1	16	63	6	2	4	217	302	286	587	69	322	32	8	258	61	—	—	—	—	—	—
2014	19	A MLE	Hagerstown Suns	—	478	441	100	21	2	8	29	166	5	2	2	227	280	338	618	111	338	35	6	269	68	—	—	—	—	—	—
2015	20	A+ MLE	3 teams	—	485	447	92	17	2	7	29	183	6	2	1	206	265	300	564	94	315	38	6	246	53	—	—	—	—	—	—
2016	21	A+ MLE	3 teams	—	563	510	110	23	0	12	42	198	6	1	3	216	282	331	613	116	322	35	7	274	72	—	—	—	—	—	—
2017	22	AA MLE	Harrisburg Senators	—	480	433	95	18	0	8	40	156	4	0	0	219	294	316	611	97	311	32	8	276	73	—	—	—	—	—	—
2018	23	AA MLE	2 teams	—	441	390	85	15	4	11	43	140	5	1	2	218	302	362	663	144	304	32	10	290	82	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	322	302	63	15	1	11	14	153	3	1	0	209	250	374	624	166	363	48	4	267	67	—	—	—	—	—	—
2021	26	AA MLE	Erie SeaWolves	—	316	285	56	9	1	11	24	125	4	1	2	196	269	351	620	154	286	40	8	271	70	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3337	3029	648	128	10	69	247	1197	40	10	14	214	282	331	613	117	325	36	7	265	66	-136	-4	+0	+12	+72	-5.6
/ 162G	—	MLE		—	650	590	126	25	2	13	48	233	8	2	3	214	282	329	611	115	325	36	7	265	66	-26	-1	+0	+2	+14	-1.1

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 AAErie SeaWolves · 316 PAwOBA .340 → .271 (−69)K% 33.2% → 39.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.23%	÷1.026	×1.220	—	—	39.49%
BB% (unintentional) /PA	10.44%	÷0.945	×0.690	—	×0.978	7.46%
HBP% /PA	1.27%	—	×0.850	—	×0.978	1.05%
Singles /BIP	22.94%	÷1.030	×0.940	×1.038	×0.978	21.27%
Doubles /BIP	5.88%	÷0.935	×0.870	×1.038	×0.978	5.56%
Triples /BIP	0.59%	÷1.150	×0.920	×1.038	×0.978	0.48%
Home runs /BIP	9.41%	÷1.055	×0.780	—	×0.978	6.81%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 106, 2B 87, 3B 130, K 105, BB 89 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .340 → .271; ISO .218 → .161; BABIP .316 → .286. 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 AAHarrisburg Senators · 205 PAwOBA .351 → .272 (−79)K% 36.1% → 44.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.10%	÷0.996	×1.220	—	—	44.22%
BB% (unintentional) /PA	6.83%	÷1.054	×0.700	—	×0.998	4.53%
HBP% /PA	1.46%	—	×0.850	—	×0.998	1.24%
Singles /BIP	22.52%	÷0.991	×0.970	×0.996	×0.998	21.92%
Doubles /BIP	12.61%	÷0.985	×0.860	×0.996	×0.998	10.95%
Triples /BIP	0.90%	÷1.150	×0.950	×0.996	×0.998	0.74%
Home runs /BIP	8.11%	÷1.111	×0.780	—	×0.998	5.68%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 98, 2B 97, 3B 130, K 99, BB 111 — 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 ×0.996.

Result: wOBA .351 → .272; ISO .232 → .163; BABIP .385 → .349. 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 AAAFresno Grizzlies · 117 PAwOBA .372 → .259 (−113)K% 39.3% → 53.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.32%	÷0.953	×1.290	—	—	53.22%
BB% (unintentional) /PA	5.13%	÷0.990	×0.710	—	×1.033	3.80%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	27.69%	÷0.959	×0.900	—	×1.033	26.84%
Doubles /BIP	9.23%	÷0.976	×0.810	—	×1.033	7.91%
Triples /BIP	0.00%	÷1.140	×0.810	—	×1.033	0.00%
Home runs /BIP	12.31%	÷0.962	×0.780	—	×1.033	10.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 92, 2B 95, 3B 128, K 91, BB 98 — 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 .372 → .259; ISO .270 → .176; BABIP .421 → .387. 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 AAHarrisburg Senators · 380 PAwOBA .363 → .304 (−59)K% 25.0% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.987	×1.220	—	—	30.90%
BB% (unintentional) /PA	14.47%	÷1.037	×0.700	—	×1.012	9.89%
HBP% /PA	1.32%	—	×0.850	—	×1.012	1.13%
Singles /BIP	22.22%	÷1.017	×0.970	×1.008	×1.012	21.63%
Doubles /BIP	7.11%	÷1.012	×0.860	×1.008	×1.012	6.16%
Triples /BIP	1.78%	÷1.070	×0.950	×1.008	×1.012	1.61%
Home runs /BIP	5.78%	÷0.925	×0.780	—	×1.012	4.93%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 103, 2B 102, 3B 114, K 97, BB 107 — 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 ×1.008.

Result: wOBA .363 → .304; ISO .197 → .167; BABIP .330 → .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 AAASyracuse Chiefs · 61 PAwOBA .235 → .200 (−35)K% 32.8% → 37.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.79%	÷1.044	×1.200	—	—	37.68%
BB% (unintentional) /PA	11.48%	÷0.956	×0.690	—	×1.048	8.68%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	23.53%	÷1.044	×0.930	—	×1.048	21.97%
Doubles /BIP	5.88%	÷0.933	×0.830	—	×1.048	5.49%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.048	0.00%
Home runs /BIP	0.00%	÷1.205	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 141, 1B 109, 2B 87, 3B 80, K 109, BB 91 — 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).

Result: wOBA .235 → .200; ISO .037 → .033; BABIP .294 → .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).

2017 AAHarrisburg Senators · 480 PAwOBA .306 → .276 (−30)K% 27.3% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.29%	÷1.022	×1.220	—	—	32.57%
BB% (unintentional) /PA	11.25%	÷0.974	×0.700	—	×1.027	8.30%
HBP% /PA	0.83%	—	×0.850	—	×1.027	0.73%
Singles /BIP	23.76%	÷1.016	×0.970	×1.050	×1.027	24.45%
Doubles /BIP	7.09%	÷0.998	×0.860	×1.050	×1.027	6.59%
Triples /BIP	0.00%	÷0.906	×0.950	×1.050	×1.027	0.00%
Home runs /BIP	3.55%	÷0.970	×0.780	—	×1.027	2.93%

Factors used: league row EL. Park (home-season share, regressed): HR 94, 1B 103, 2B 100, 3B 81, K 104, BB 95 — 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 ×1.050.

Result: wOBA .306 → .276; ISO .121 → .104; BABIP .311 → .311. 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+Potomac Nationals · 268 PAwOBA .373 → .297 (−76)K% 26.1% → 38.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.12%	÷0.974	×1.420	—	—	38.08%
BB% (unintentional) /PA	11.94%	÷1.061	×0.630	—	×1.012	7.17%
HBP% /PA	1.12%	—	×0.860	—	×1.012	0.97%
Singles /BIP	23.12%	÷0.966	×0.940	×1.046	×1.012	23.82%
Doubles /BIP	10.00%	÷1.010	×0.830	×1.046	×1.012	8.70%
Triples /BIP	0.00%	÷0.975	×0.800	×1.046	×1.012	0.00%
Home runs /BIP	6.88%	÷1.025	×0.900	—	×1.012	6.11%

Factors used: league row CAR. Park (home-season share, regressed): HR 105, 1B 93, 2B 102, 3B 95, K 95, BB 112 — 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 ×1.046.

Result: wOBA .373 → .297; ISO .213 → .169; BABIP .353 → .344. 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 AAHarrisburg Senators · 203 PAwOBA .282 → .244 (−37)K% 25.1% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.12%	÷0.980	×1.220	—	—	31.27%
BB% (unintentional) /PA	10.84%	÷0.992	×0.700	—	×1.042	7.97%
HBP% /PA	0.99%	—	×0.850	—	×1.042	0.87%
Singles /BIP	22.83%	÷1.029	×0.970	×1.050	×1.042	23.54%
Doubles /BIP	5.51%	÷0.922	×0.860	×1.050	×1.042	5.62%
Triples /BIP	0.00%	÷1.137	×0.950	×1.050	×1.042	0.00%
Home runs /BIP	2.36%	÷1.445	×0.780	—	×1.042	1.33%

Factors used: league row EL. Park (home-season share, regressed): HR 189, 1B 106, 2B 84, 3B 127, K 96, BB 98 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .282 → .244; ISO .090 → .066; BABIP .288 → .293. 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 — .