Logan Watkins

Pos2B

B/TL/R

Born1989-08-29

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	26	AAACHC	378	.261/.318/.353	1	15	60	—	.237/.277/.318
2017	27	AAA/AADET	322	.242/.345/.300	2	5	54	—	.220/.294/.266
2019	29	AAAToros de Tiju…	146	.254/.364/.393	3	8	73	—	.225/.301/.326

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)
2008	18	ROK	AZL Cubs	—	107	80	26	3	0	0	20	19	2	2	0	325	471	362	833	37	413	18	19	375	90	—	—	—	—	—	—
2010	20	A	Peoria Chiefs	—	520	440	115	15	8	1	58	97	3	19	10	261	351	339	690	77	332	19	11	306	68	—	—	—	—	—	—
2011	21	A+	Daytona Cubs	—	502	441	124	15	12	5	44	97	7	21	5	281	356	404	759	122	346	19	9	335	74	—	—	—	—	—	—
2012	22	AA	Tennessee Smokies	—	588	488	137	20	11	9	76	97	7	28	7	281	385	422	807	141	332	16	13	354	97	—	—	—	—	—	—
2012	22	INTL	Mesa Solar Sox	—	40	32	7	1	0	1	8	3	0	0	0	219	375	344	719	125	214	8	20	337	114	—	—	—	—	—	—
2013	23	MLB	Chicago Cubs	—	42	38	8	1	0	0	3	14	0	0	0	211	268	237	505	26	333	33	7	231	42	-3	+0	+1	+2	+1	0.1
2013	23	AAA	Iowa Cubs	—	472	412	100	18	7	8	52	98	4	10	9	243	333	379	712	136	300	21	11	320	61	—	—	—	—	—	—
2014	24	MLB	Chicago Cubs	—	68	65	16	3	0	1	1	16	1	1	0	246	269	338	607	92	312	24	1	268	60	-3	+0	-3	+2	+1	-0.3
2014	24	AAA	Iowa Cubs	—	368	324	83	21	1	4	33	77	2	23	4	256	329	364	693	108	322	21	9	307	55	—	—	—	—	—	—
2016	26	AAA	Iowa Cubs	—	378	337	88	14	7	1	26	67	2	15	7	261	318	353	671	92	318	18	7	293	60	—	—	—	—	—	—
2017	27	AAA	Toledo Mud Hens	—	37	35	9	0	0	0	2	8	0	1	0	257	297	257	554		333	22	5	258	26	—	—	—	—	—	—
2017	27	AA	Erie SeaWolves	—	285	238	57	6	2	2	34	44	7	4	6	239	351	307	658	67	284	15	12	303	58	—	—	—	—	—	—
2019	29	AAA	Toros de Tijuana	—	146	122	31	6	1	3	19	33	2	8	0	254	364	393	757	139	326	23	13	338	73	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	110	103	24	4	0	1	4	30	1	1	0	233	269	301	569	68	319	27	4	254	58	-5	+0	-2	+3	+2	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	AZL Cubs	—	107	87	23	2	0	0	13	27	2	2	0	264	373	287	660	23	354	25	12	301	90	—	—	—	—	—	—
2010	20	A MLE	Peoria Chiefs	—	520	458	113	14	8	1	40	131	3	19	10	247	311	319	630	72	322	25	8	269	68	—	—	—	—	—	—
2011	21	A+ MLE	Daytona Cubs	—	502	453	109	13	9	4	32	130	7	21	5	241	301	336	636	95	315	26	6	278	74	—	—	—	—	—	—
2012	22	AA MLE	Tennessee Smokies	—	588	510	134	19	10	7	54	121	7	28	7	263	342	380	722	118	316	21	9	311	97	—	—	—	—	—	—
2013	23	MLB MLE	Chicago Cubs	—	42	38	8	1	0	0	3	14	0	0	0	211	268	237	505	26	333	33	7	230	42	-3	+0	+1	+2	+1	0.1
2013	23	AAA MLE	Iowa Cubs	—	472	426	88	14	6	6	38	126	4	10	9	207	278	310	588	103	273	27	8	258	61	—	—	—	—	—	—
2014	24	MLB MLE	Chicago Cubs	—	68	66	16	3	0	1	0	16	1	1	0	242	254	333	587	91	312	24	0	257	60	-3	+0	-3	+2	+1	-0.3
2014	24	AAA MLE	Iowa Cubs	—	368	338	75	17	1	3	19	100	2	23	4	222	267	305	572	83	292	27	5	250	55	—	—	—	—	—	—
2016	26	AAA MLE	Iowa Cubs	—	378	346	82	13	6	1	17	83	2	15	7	237	277	318	595	81	290	22	4	257	60	—	—	—	—	—	—
2017	27	AAA MLE	Toledo Mud Hens	—	37	36	8	0	0	0	1	10	0	1	0	222	243	222	465		292	27	3	207	26	—	—	—	—	—	—
2017	27	AA MLE	Erie SeaWolves	—	285	250	55	6	2	1	22	55	7	4	6	220	301	272	573	52	263	19	8	254	58	—	—	—	—	—	—
2019	29	AAA MLE	Toros de Tijuana	—	146	129	29	5	1	2	12	36	2	8	0	225	301	326	626	101	284	25	8	276	73	—	—	—	—	—	—
2008	18	ROK MLE	AZL Cubs	—	107	87	23	2	0	0	13	27	2	2	0	264	373	287	660	23	371	25	12	301	90	—	—	—	—	—	—
2008	18	ROK RAW	AZL Cubs	—	107	80	26	3	0	0	20	19	2	2	0	325	471	362	833	37	413	18	19	375	90	—	—	—	—	—	—
2010	20	A MLE	Peoria Chiefs	—	520	458	113	14	8	1	40	131	3	19	10	247	311	319	630	72	343	25	8	269	68	—	—	—	—	—	—
2010	20	A RAW	Peoria Chiefs	—	520	440	115	15	8	1	58	97	3	19	10	261	351	339	690	77	332	19	11	306	68	—	—	—	—	—	—
2011	21	A+ MLE	Daytona Cubs	—	502	453	109	13	9	4	32	130	7	21	5	241	301	336	636	95	324	26	6	278	74	—	—	—	—	—	—
2011	21	A+ RAW	Daytona Cubs	—	502	441	124	15	12	5	44	97	7	21	5	281	356	404	759	122	346	19	9	335	74	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	628	546	144	21	10	8	58	129	7	28	7	264	342	383	725	119	330	21	9	311	97	—	—	—	—	—	—
2012	22	AA RAW	2 teams	—	628	520	144	21	11	10	84	100	7	28	7	277	385	417	802	140	324	16	13	353	97	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	514	464	96	15	6	6	41	140	4	10	9	207	277	304	581	97	282	27	8	256	59	—	—	—	—	—	—
2013	23	AAA RAW	2 teams	—	514	450	108	19	7	8	55	112	4	10	9	240	328	367	695	127	302	22	11	313	59	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	436	404	91	19	1	5	19	116	3	24	4	225	265	314	580	89	302	27	4	251	56	—	—	—	—	—	—
2014	24	AAA RAW	2 teams	—	436	389	99	24	1	5	34	93	3	24	4	254	319	360	679	105	321	21	8	301	56	—	—	—	—	—	—
2016	26	AAA MLE	Iowa Cubs	—	378	346	82	13	6	1	17	83	2	15	7	237	277	318	595	81	303	22	4	257	60	—	—	—	—	—	—
2016	26	AAA RAW	Iowa Cubs	—	378	337	88	14	7	1	26	67	2	15	7	261	318	353	671	92	318	18	7	293	60	—	—	—	—	—	—
2017	27	AA MLE	2 teams	—	322	286	63	6	2	1	23	65	7	5	6	220	294	266	560	45	279	20	7	249	54	—	—	—	—	—	—
2017	27	AA RAW	2 teams	—	322	273	66	6	2	2	36	52	7	5	6	242	345	300	645	59	290	16	11	298	54	—	—	—	—	—	—
2019	29	AAA MLE	Toros de Tijuana	—	146	129	29	5	1	2	12	36	2	8	0	225	301	326	626	101	297	25	8	276	73	—	—	—	—	—	—
2019	29	AAA RAW	Toros de Tijuana	—	146	122	31	6	1	3	19	33	2	8	0	254	364	393	757	139	326	23	13	338	73	—	—	—	—	—	—
2008	18	ROK MLE	AZL Cubs	—	107	91	23	2	0	0	13	27	2	2	0	253	373	275	647	22	354	25	12	301	90	—	—	—	—	—	—
2010	20	A MLE	Peoria Chiefs	—	520	472	113	14	8	1	40	131	3	19	10	239	311	309	621	70	322	25	8	269	68	—	—	—	—	—	—
2011	21	A+ MLE	Daytona Cubs	—	502	458	109	13	9	4	32	130	7	21	5	238	301	332	633	94	315	26	6	278	74	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	628	558	144	21	10	8	58	129	7	28	7	258	342	375	717	116	316	21	9	311	97	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	514	464	96	15	6	6	41	140	4	10	9	207	277	304	581	97	278	27	8	256	59	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	436	411	91	19	1	5	19	116	3	24	4	221	265	309	574	88	295	27	4	251	56	—	—	—	—	—	—
2016	26	AAA MLE	Iowa Cubs	—	378	356	82	13	6	1	17	83	2	15	7	230	277	309	586	79	290	22	4	257	60	—	—	—	—	—	—
2017	27	AA MLE	2 teams	—	322	289	63	6	2	1	23	65	7	5	6	218	294	263	557	45	266	20	7	249	54	—	—	—	—	—	—
2019	29	AAA MLE	Toros de Tijuana	—	146	131	29	5	1	2	12	36	2	8	0	221	301	321	621	99	284	25	8	276	73	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	110	103	24	4	0	1	4	30	1	1	0	233	269	301	569	68	319	27	4	254	70	-5	+0	-2	+3	+2	-0.2
/ 162G	—	A+C		—	650	609	142	24	0	6	24	177	6	6	0	233	270	302	572	69	319	27	4	254	70	-32	+1	-15	+20	+14	-1.2
Career	—	MLE		—	3553	3173	750	108	43	28	255	857	37	132	48	236	301	324	625	88	313	24	7	272	70	-5	+0	-2	+3	+2	-0.2
/ 162G	—	MLE		—	650	580	137	20	8	5	47	157	7	24	9	236	301	324	625	88	313	24	7	272	70	-32	+1	-15	+20	+14	-1.2

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 AAAToros de Tijuana · 146 PAwOBA .327 → .276 (−51)K% 22.6% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.60%	÷1.111	×1.200	—	—	24.41%
BB% (unintentional) /PA	12.33%	÷1.007	×0.690	—	×0.972	8.21%
HBP% /PA	1.37%	—	×0.940	—	×0.972	1.25%
Singles /BIP	23.60%	÷0.989	×0.930	—	×0.972	21.56%
Doubles /BIP	6.74%	÷1.051	×0.830	—	×0.972	5.17%
Triples /BIP	1.12%	÷0.993	×0.920	—	×0.972	1.01%
Home runs /BIP	3.37%	÷1.023	×0.700	—	×0.972	2.24%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 98, 2B 110, 3B 99, K 122, BB 101 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .327 → .276; ISO .139 → .110; BABIP .326 → .284. 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 AAErie SeaWolves · 285 PAwOBA .299 → .254 (−44)K% 15.4% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.44%	÷0.973	×1.220	—	—	19.36%
BB% (unintentional) /PA	11.93%	÷1.059	×0.700	—	×0.968	7.64%
HBP% /PA	2.46%	—	×0.850	—	×0.968	2.02%
Singles /BIP	24.23%	÷1.020	×0.970	×1.019	×0.968	22.72%
Doubles /BIP	3.09%	÷0.944	×0.860	×1.019	×0.968	2.78%
Triples /BIP	1.03%	÷1.094	×0.950	×1.019	×0.968	0.88%
Home runs /BIP	1.03%	÷1.259	×0.780	—	×0.968	0.62%

Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 104, 2B 89, 3B 119, K 95, BB 112 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .299 → .254; ISO .067 → .054; BABIP .284 → .263. 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 AAAToledo Mud Hens · 37 PAwOBA .251 → .207 (−45)K% 21.6% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷1.004	×1.200	—	—	25.84%
BB% (unintentional) /PA	5.41%	÷0.996	×0.690	—	×0.992	3.71%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	33.33%	÷1.054	×0.930	—	×0.992	29.18%
Doubles /BIP	0.00%	÷0.916	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.049	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — 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 .251 → .207; ISO .000 → .000; BABIP .333 → .292. 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 AAAIowa Cubs · 378 PAwOBA .287 → .257 (−31)K% 17.7% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.72%	÷1.037	×1.290	—	—	22.05%
BB% (unintentional) /PA	6.35%	÷1.034	×0.710	—	×1.003	4.37%
HBP% /PA	0.53%	—	×0.980	—	×1.003	0.52%
Singles /BIP	24.44%	÷1.006	×0.900	×1.025	×1.003	22.48%
Doubles /BIP	5.19%	÷0.927	×0.810	×1.025	×1.003	4.66%
Triples /BIP	2.59%	÷0.945	×0.810	×1.025	×1.003	2.29%
Home runs /BIP	0.37%	÷0.890	×0.780	—	×1.003	0.33%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 101, 2B 85, 3B 89, K 107, BB 107 — 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 ×1.025.

Result: wOBA .287 → .257; ISO .092 → .084; BABIP .318 → .290. 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 AAAIowa Cubs · 368 PAwOBA .300 → .250 (−50)K% 20.9% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.92%	÷0.996	×1.290	—	—	27.10%
BB% (unintentional) /PA	8.70%	÷1.249	×0.710	—	×1.033	5.10%
HBP% /PA	0.54%	—	×0.980	—	×1.033	0.55%
Singles /BIP	23.08%	÷1.021	×0.900	×1.046	×1.033	21.99%
Doubles /BIP	8.50%	÷1.111	×0.810	×1.046	×1.033	6.70%
Triples /BIP	0.40%	÷1.150	×0.810	×1.046	×1.033	0.31%
Home runs /BIP	1.62%	÷0.929	×0.780	—	×1.033	1.41%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 104, 2B 122, 3B 130, K 99, BB 150 — 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 ×1.046.

Result: wOBA .300 → .250; ISO .108 → .088; BABIP .322 → .292. 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 AAAIowa Cubs · 472 PAwOBA .312 → .258 (−53)K% 20.8% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.76%	÷1.004	×1.290	—	—	26.69%
BB% (unintentional) /PA	10.81%	÷1.000	×0.710	—	×1.048	8.04%
HBP% /PA	0.85%	—	×0.980	—	×1.048	0.87%
Singles /BIP	21.34%	÷1.009	×0.900	×1.015	×1.048	20.25%
Doubles /BIP	5.73%	÷1.050	×0.810	×1.015	×1.048	4.70%
Triples /BIP	2.23%	÷1.012	×0.810	×1.015	×1.048	1.90%
Home runs /BIP	2.55%	÷1.130	×0.780	—	×1.048	1.84%

Factors used: league row PCL. Park (home-season share, regressed): HR 126, 1B 102, 2B 110, 3B 102, K 101, BB 100 — 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 ×1.015.

Result: wOBA .312 → .258; ISO .136 → .104; BABIP .300 → .273. 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).

2012 AATennessee Smokies · 588 PAwOBA .347 → .311 (−36)K% 16.5% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.50%	÷0.976	×1.220	—	—	20.62%
BB% (unintentional) /PA	12.93%	÷0.983	×0.680	—	×1.027	9.18%
HBP% /PA	1.19%	—	×0.840	—	×1.027	1.03%
Singles /BIP	24.81%	÷0.991	×0.920	×1.020	×1.027	24.15%
Doubles /BIP	5.12%	÷1.033	×0.910	×1.020	×1.027	4.72%
Triples /BIP	2.81%	÷1.082	×0.880	×1.020	×1.027	2.40%
Home runs /BIP	2.30%	÷1.028	×0.800	—	×1.027	1.84%

Factors used: league row SL. Park (home-season share, regressed): HR 106, 1B 98, 2B 107, 3B 116, K 95, BB 97 — 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 ×1.020.

Result: wOBA .347 → .311; ISO .141 → .125; BABIP .332 → .316. 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).

2011 A+Daytona Cubs · 502 PAwOBA .330 → .278 (−52)K% 19.3% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.32%	÷1.064	×1.420	—	—	25.78%
BB% (unintentional) /PA	8.76%	÷1.056	×0.750	—	×1.012	6.30%
HBP% /PA	1.39%	—	×0.930	—	×1.012	1.31%
Singles /BIP	26.74%	÷1.016	×0.920	×1.012	×1.012	24.80%
Doubles /BIP	4.36%	÷1.075	×0.960	×1.012	×1.012	3.99%
Triples /BIP	3.49%	÷1.030	×0.810	×1.012	×1.012	2.81%
Home runs /BIP	1.45%	÷1.232	×0.880	—	×1.012	1.05%

Factors used: league row FSL. Park (home-season share, regressed): HR 146, 1B 103, 2B 115, 3B 106, K 113, BB 111 — 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 ×1.012.

Result: wOBA .330 → .278; ISO .122 → .097; BABIP .346 → .315. 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 — .