Donnie Dewees

PosCF

B/TL/L

Born1993-09-29

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	24	AAA/AA2 orgs	551	.258/.310/.383	8	16	52	—	.218/.257/.321
2019	25	AAA/INTL2 orgs	536	.263/.345/.442	17	14	81	—	.203/.271/.356
2022	28	AAACHC	45	.286/.333/.429	1	4	69	—	.256/.289/.395

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+	Myrtle Beach Pelicans	—	167	149	43	10	2	2	10	36	3	14	0	289	346	423	768	134	360	22	6	333	55	—	—	—	—	—	—
2016	22	A	South Bend Cubs	—	410	365	103	15	12	3	29	51	4	17	5	282	342	414	755	132	316	12	7	327	77	—	—	—	—	—	—
2017	23	AA	Northwest Arkansas Naturals	—	524	464	126	24	6	9	46	81	5	20	8	272	344	407	751	136	309	15	9	332	69	—	—	—	—	—	—
2017	23	INTL	Charros de Jalisco	—	77	71	20	1	1	2	2	15	4	4	1	282	338	408	746	127	333	19	3	336	114	—	—	—	—	—	—
2018	24	AAA	Omaha Storm Chasers	—	241	222	59	11	3	6	15	45	1	8	2	266	315	423	739	158	310	19	6	323	64	—	—	—	—	—	—
2018	24	AA	Northwest Arkansas Naturals	—	310	285	72	12	5	2	20	48	2	8	4	253	306	351	657	98	297	15	6	294	42	—	—	—	—	—	—
2019	25	AAA	Iowa Cubs	—	419	368	93	18	5	16	40	61	6	6	5	253	336	459	795	207	263	15	10	348	71	—	—	—	—	—	—
2019	25	INTL	Gigantes del Cibao	—	117	103	31	3	1	1	9	20	4	8	3	301	379	379	758	78	361	17	8	344	119	—	—	—	—	—	—
2022	28	AAA	Iowa Cubs	—	45	42	12	1	1	1	3	9	0	4	0	286	333	429	762	143	344	20	7	338	69	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	22	A+ MLE	Myrtle Beach Pelicans	—	167	153	33	8	1	1	6	53	3	14	0	216	259	301	560	85	303	32	4	250	55	—	—	—	—	—	—
2016	22	A MLE	South Bend Cubs	—	410	375	94	13	12	2	19	71	4	17	5	251	294	365	659	115	286	17	5	282	77	—	—	—	—	—	—
2017	23	AA MLE	Northwest Arkansas Naturals	—	524	478	109	19	6	7	32	102	5	20	8	228	283	337	620	109	266	19	6	270	69	—	—	—	—	—	—
2018	24	AAA MLE	Omaha Storm Chasers	—	241	226	52	10	3	4	11	58	1	8	2	230	269	354	623	124	280	24	5	263	64	—	—	—	—	—	—
2018	24	AA MLE	Northwest Arkansas Naturals	—	310	292	61	9	5	2	13	60	2	8	4	209	248	295	542	86	247	19	4	230	42	—	—	—	—	—	—
2019	25	AAA MLE	Iowa Cubs	—	419	379	77	14	4	12	29	77	6	6	5	203	271	356	627	153	219	18	7	273	71	—	—	—	—	—	—
2022	28	AAA MLE	Iowa Cubs	—	45	43	11	1	1	1	2	11	0	4	0	256	289	395	684	140	311	24	4	270	69	—	—	—	—	—	—
2016	22	A MLE	2 teams	—	577	528	128	21	13	4	25	124	7	31	5	242	286	354	640	112	304	21	4	273	71	—	—	—	—	—	—
2016	22	A RAW	2 teams	—	577	514	146	25	14	5	39	87	7	31	5	284	343	416	759	132	328	15	7	329	71	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	601	546	124	21	7	8	37	117	9	24	9	227	287	335	622	108	272	19	6	270	69	—	—	—	—	—	—
2017	23	AA RAW	2 teams	—	601	535	146	25	7	11	48	96	9	24	9	273	343	407	750	135	312	16	8	332	69	—	—	—	—	—	—
2018	24	AA MLE	2 teams	—	551	518	110	18	7	6	24	117	3	16	6	212	251	309	560	97	263	21	4	244	52	—	—	—	—	—	—
2018	24	AA RAW	2 teams	—	551	507	131	23	8	8	35	93	3	16	6	258	310	383	693	124	302	17	6	307	52	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	536	483	99	18	5	15	37	98	10	14	8	205	275	356	632	151	225	18	7	273	71	—	—	—	—	—	—
2019	25	AAA RAW	2 teams	—	536	471	124	21	6	17	49	81	10	14	8	263	345	442	787	178	285	15	9	347	71	—	—	—	—	—	—
2022	28	AAA MLE	Iowa Cubs	—	45	43	11	1	1	1	2	11	0	4	0	256	289	395	684	140	323	24	4	270	69	—	—	—	—	—	—
2022	28	AAA RAW	Iowa Cubs	—	45	42	12	1	1	1	3	9	0	4	0	286	333	429	762	143	344	20	7	338	69	—	—	—	—	—	—
2016	22	A MLE	2 teams	—	577	540	128	21	13	4	25	124	7	31	5	237	286	346	632	109	291	21	4	273	71	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	601	550	124	21	7	8	37	117	9	24	9	225	287	333	620	107	266	19	6	270	69	—	—	—	—	—	—
2018	24	AA MLE	2 teams	—	551	519	110	18	7	6	24	117	3	16	6	212	251	308	560	96	261	21	4	244	52	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	536	484	99	18	5	15	37	98	10	14	8	205	275	355	631	151	219	18	7	273	71	—	—	—	—	—	—
2022	28	AAA MLE	Iowa Cubs	—	45	43	11	1	1	1	2	11	0	4	0	256	289	395	684	140	311	24	4	270	69	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2310	2118	472	79	33	34	125	467	29	89	28	223	276	339	615	117	268	20	5	265	66	-94	+7	+0	+8	+50	-3.0
/ 162G	—	MLE		—	650	596	133	22	9	10	35	131	8	25	8	223	275	341	616	117	267	20	5	265	66	-27	+2	+0	+2	+14	-0.9

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.

2022 AAAIowa Cubs · 45 PAwOBA .329 → .270 (−59)K% 20.0% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.988	×1.200	—	—	24.29%
BB% (unintentional) /PA	6.67%	÷1.048	×0.690	—	×0.982	4.31%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	27.27%	÷0.985	×0.930	—	×0.982	25.28%
Doubles /BIP	3.03%	÷0.967	×0.830	—	×0.982	2.55%
Triples /BIP	3.03%	÷1.118	×0.970	—	×0.982	2.58%
Home runs /BIP	3.03%	÷0.996	×0.700	—	×0.982	2.09%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, BB 110 — 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).

Result: wOBA .329 → .270; ISO .143 → .107; BABIP .344 → .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).

2019 AAAIowa Cubs · 419 PAwOBA .339 → .273 (−66)K% 14.6% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.56%	÷1.025	×1.290	—	—	18.32%
BB% (unintentional) /PA	9.31%	÷0.968	×0.710	—	×1.018	6.95%
HBP% /PA	1.43%	—	×0.980	—	×1.018	1.43%
Singles /BIP	17.59%	÷0.993	×0.900	×0.950	×1.018	15.42%
Doubles /BIP	5.86%	÷1.014	×0.810	×0.950	×1.018	4.53%
Triples /BIP	1.63%	÷1.029	×0.810	×0.950	×1.018	1.24%
Home runs /BIP	5.21%	÷1.050	×0.780	—	×1.018	3.94%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, BB 94 — 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 .339 → .273; ISO .207 → .157; BABIP .263 → .219. 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 AANorthwest Arkansas Naturals · 310 PAwOBA .287 → .230 (−57)K% 15.5% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.48%	÷0.979	×1.220	—	—	19.29%
BB% (unintentional) /PA	6.45%	÷1.049	×0.700	—	×0.998	4.30%
HBP% /PA	0.65%	—	×0.870	—	×0.998	0.56%
Singles /BIP	22.36%	÷1.046	×0.920	×0.968	×0.998	18.99%
Doubles /BIP	5.06%	÷1.113	×0.840	×0.968	×0.998	3.69%
Triples /BIP	2.11%	÷0.956	×0.940	×0.968	×0.998	2.00%
Home runs /BIP	0.84%	÷1.008	×0.800	—	×0.998	0.67%

Factors used: league row TL. Park (home-season share, regressed): HR 102, 1B 109, 2B 123, 3B 91, K 96, BB 110 — 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 ×0.968.

Result: wOBA .287 → .230; ISO .098 → .080; BABIP .297 → .247. 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 AAAOmaha Storm Chasers · 241 PAwOBA .315 → .263 (−52)K% 18.7% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.67%	÷1.007	×1.290	—	—	23.91%
BB% (unintentional) /PA	6.22%	÷1.018	×0.710	—	×1.033	4.49%
HBP% /PA	0.41%	—	×0.980	—	×1.033	0.42%
Singles /BIP	22.03%	÷1.020	×0.900	×1.005	×1.033	20.19%
Doubles /BIP	6.21%	÷0.936	×0.810	×1.005	×1.033	5.58%
Triples /BIP	1.69%	÷0.900	×0.810	×1.005	×1.033	1.58%
Home runs /BIP	3.39%	÷1.101	×0.780	—	×1.033	2.48%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 104, 2B 87, 3B 80, K 102, BB 104 — 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 ×1.005.

Result: wOBA .315 → .263; ISO .158 → .125; BABIP .310 → .280. 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 AANorthwest Arkansas Naturals · 524 PAwOBA .325 → .270 (−55)K% 15.5% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.46%	÷0.967	×1.220	—	—	19.49%
BB% (unintentional) /PA	8.40%	÷0.982	×0.700	—	×1.012	6.06%
HBP% /PA	0.95%	—	×0.870	—	×1.012	0.84%
Singles /BIP	22.72%	÷1.051	×0.920	×0.993	×1.012	20.00%
Doubles /BIP	6.27%	÷1.091	×0.840	×0.993	×1.012	4.85%
Triples /BIP	1.57%	÷0.900	×0.940	×0.993	×1.012	1.65%
Home runs /BIP	2.35%	÷1.114	×0.800	—	×1.012	1.71%

Factors used: league row TL. Park (home-season share, regressed): HR 123, 1B 110, 2B 118, 3B 80, K 93, BB 96 — 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 ×0.993.

Result: wOBA .325 → .270; ISO .136 → .110; BABIP .309 → .266. 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 ASouth Bend Cubs · 410 PAwOBA .321 → .282 (−39)K% 12.4% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.44%	÷0.973	×1.360	—	—	17.39%
BB% (unintentional) /PA	6.59%	÷0.968	×0.690	—	×0.990	4.65%
HBP% /PA	0.98%	—	×0.780	—	×0.990	0.75%
Singles /BIP	23.25%	÷0.993	×0.920	×0.988	×0.990	21.07%
Doubles /BIP	4.78%	÷0.963	×0.830	×0.988	×0.990	4.03%
Triples /BIP	3.82%	÷0.900	×0.910	×0.988	×0.990	3.78%
Home runs /BIP	0.96%	÷0.997	×0.800	—	×0.990	0.76%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 93, 3B 80, K 95, BB 94 — 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 ×0.988.

Result: wOBA .321 → .282; ISO .132 → .120; 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).

2016 A+Myrtle Beach Pelicans · 167 PAwOBA .330 → .250 (−81)K% 21.6% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.56%	÷0.965	×1.420	—	—	31.73%
BB% (unintentional) /PA	5.99%	÷1.043	×0.630	—	×0.998	3.61%
HBP% /PA	1.80%	—	×0.860	—	×0.998	1.54%
Singles /BIP	25.66%	÷1.044	×0.940	×0.950	×0.998	21.90%
Doubles /BIP	8.85%	÷0.920	×0.830	×0.950	×0.998	7.57%
Triples /BIP	1.77%	÷1.038	×0.800	×0.950	×0.998	1.29%
Home runs /BIP	1.77%	÷1.311	×0.900	—	×0.998	1.21%

Factors used: league row CAR. Park (home-season share, regressed): HR 162, 1B 109, 2B 84, 3B 108, K 93, BB 109 — 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 ×0.950.

Result: wOBA .330 → .250; ISO .134 → .098; BABIP .360 → .303. 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 — .