Andrew Toles

PosLF

B/TL/R

Born1992-05-24

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	24	AAA/AA/A+3 orgs	349	.331/.376/.511	7	23	111	—	.292/.327/.444
2016	24	MLBLAD	115	.314/.368/.505	3	1	142	0.7
2017	25	MLBLAD	102	.271/.314/.458	5	0	118	0.3
2018	26	AAAOklahoma City…	275	.306/.347/.461	7	3	82	—	.260/.292/.374
2018	26	MLBLAD	32	.233/.281/.300	0	1	56	0.0
2019	27	No MLB games played
2020	28	No MLB games played
2021	29	No MLB games played
2022	30	No MLB games played
2023	31	No MLB games played
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR 1.0

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed79

xwOBA62

Barrel%46

Avg EV32

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	20	ROK	Princeton Rays	—	214	199	56	13	3	7	12	36	2	14	5	281	329	482	811	201	312	17	6	354	62	—	—	—	—	—	—
2013	21	A	Bowling Green Hot Rods	—	552	519	169	35	16	2	22	105	7	62	17	326	361	466	828	141	402	19	4	363	86	—	—	—	—	—	—
2014	22	A+	Charlotte Stone Crabs	—	218	199	52	10	1	1	12	31	1	18	10	261	307	337	643	75	300	14	6	284	63	—	—	—	—	—	—
2014	22	ROK	GCL Rays	—	25	24	7	0	1	0	0	6	1	6	0	292	320	375	695	83	389	24	0	311	25	—	—	—	—	—	—
2016	24	MLB	Los Angeles Dodgers	—	115	105	33	9	1	3	8	25	1	1	1	314	368	505	873	190	385	22	7	381	142	+6	-0	+4	-5	+2	0.7
2016	24	AAA	Oklahoma City Dodgers	—	59	56	18	5	0	2	2	8	0	1	5	321	345	518	863	196	340	14	3	372	109	—	—	—	—	—	—
2016	24	AA	Tulsa Drillers	—	190	175	55	14	3	5	12	30	2	13	3	314	365	514	879	200	355	16	6	384	114	—	—	—	—	—	—
2016	24	A+	Rancho Cucamonga Quakes	—	100	92	34	8	2	0	6	13	1	9	3	370	414	500	914	130	430	13	6	401	105	—	—	—	—	—	—
2017	25	MLB	Los Angeles Dodgers	—	102	96	26	3	0	5	5	16	1	0	1	271	314	458	772	188	280	16	5	341	118	+2	-0	+0	-1	+2	0.3
2018	26	MLB	Los Angeles Dodgers	—	32	30	7	2	0	0	2	8	0	1	0	233	281	300	581	67	318	25	6	265	56	-2	+0	-0	+1	+1	0.0
2018	26	AAA	Oklahoma City Dodgers	—	275	258	79	17	1	7	13	56	3	3	2	306	347	461	808	155	367	20	5	357	82	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	249	231	66	14	1	8	15	49	2	2	2	286	335	459	794	173	331	20	6	350	123	+7	-0	+4	-5	+5	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	20	ROK MLE	Princeton Rays	—	214	205	43	9	2	5	6	51	2	14	5	210	239	346	586	137	255	24	3	260	62	—	—	—	—	—	—
2013	21	A MLE	Bowling Green Hot Rods	—	552	528	144	27	14	1	13	149	7	62	17	273	299	383	682	110	372	27	2	296	86	—	—	—	—	—	—
2014	22	A+ MLE	Charlotte Stone Crabs	—	218	202	50	10	1	1	9	45	1	18	10	248	283	322	605	74	297	21	4	262	63	—	—	—	—	—	—
2014	22	ROK MLE	GCL Rays	—	25	24	5	0	1	0	0	9	1	6	0	208	240	292	532	83	305	36	0	205	25	—	—	—	—	—	—
2016	24	MLB MLE	Los Angeles Dodgers	—	115	107	34	10	1	3	6	25	1	1	1	318	360	514	874	196	385	22	5	379	142	+6	-0	+4	-5	+2	0.7
2016	24	AAA MLE	Oklahoma City Dodgers	—	59	57	16	4	0	2	1	11	0	1	5	281	293	456	749	175	323	19	2	330	109	—	—	—	—	—	—
2016	24	AA MLE	Tulsa Drillers	—	190	178	51	13	3	4	9	37	2	13	3	287	328	461	789	174	336	19	5	336	114	—	—	—	—	—	—
2016	24	A+ MLE	Rancho Cucamonga Quakes	—	100	94	29	7	1	0	4	18	1	9	3	309	343	404	748	96	376	18	4	324	105	—	—	—	—	—	—
2017	25	MLB MLE	Los Angeles Dodgers	—	102	96	26	3	0	5	5	16	1	0	1	271	314	458	772	188	280	16	5	342	118	+2	-0	+0	-1	+2	0.3
2018	26	MLB MLE	Los Angeles Dodgers	—	32	31	7	2	0	0	1	8	0	1	0	226	250	290	540	65	318	25	3	250	56	-2	+0	-0	+1	+1	0.0
2018	26	AAA MLE	Oklahoma City Dodgers	—	275	262	68	13	1	5	9	75	3	3	2	260	292	374	666	115	339	27	3	289	82	—	—	—	—	—	—
2012	20	ROK MLE	Princeton Rays	—	214	205	43	9	2	5	6	51	2	14	5	210	239	346	586	137	253	24	3	260	62	—	—	—	—	—	—
2012	20	ROK RAW	Princeton Rays	—	214	199	56	13	3	7	12	36	2	14	5	281	329	482	811	201	312	17	6	354	62	—	—	—	—	—	—
2013	21	A MLE	Bowling Green Hot Rods	—	552	528	144	27	14	1	13	149	7	62	17	273	299	383	682	110	375	27	2	296	86	—	—	—	—	—	—
2013	21	A RAW	Bowling Green Hot Rods	—	552	519	169	35	16	2	22	105	7	62	17	326	361	466	828	141	402	19	4	363	86	—	—	—	—	—	—
2014	22	A+ MLE	2 teams	—	243	226	54	10	1	1	9	54	2	24	10	239	274	305	580	66	305	22	4	256	59	—	—	—	—	—	—
2014	22	A+ RAW	2 teams	—	243	223	59	10	2	1	12	37	2	24	10	265	308	341	649	76	309	15	5	287	59	—	—	—	—	—	—
2016	24	AA MLE	4 teams	—	464	435	130	34	6	8	21	90	4	24	12	299	337	460	797	161	359	19	5	343	118	—	—	—	—	—	—
2016	24	AA RAW	4 teams	—	464	428	140	36	6	10	28	76	4	24	12	327	374	509	883	182	377	16	6	385	118	—	—	—	—	—	—
2017	25	MLB MLE	Los Angeles Dodgers	—	102	96	26	3	0	5	5	16	1	0	1	271	314	458	772	188	280	16	5	342	118	+2	-0	+0	-1	+2	0.3
2017	25	MLB RAW	Los Angeles Dodgers	—	102	96	26	3	0	5	5	16	1	0	1	271	314	458	772	188	280	16	5	341	118	+2	-0	+0	-1	+2	0.3
2018	26	AAA MLE	2 teams	—	307	293	75	15	1	5	10	83	3	4	2	256	288	365	653	109	340	27	3	285	79	—	—	—	—	—	—
2018	26	AAA RAW	2 teams	—	307	288	86	19	1	7	15	64	3	4	2	299	340	444	784	146	362	21	5	347	79	—	—	—	—	—	—
2012	20	ROK MLE	Princeton Rays	—	214	204	43	9	2	5	6	51	2	14	5	211	239	348	587	137	255	24	3	260	62	—	—	—	—	—	—
2013	21	A MLE	Bowling Green Hot Rods	—	552	527	144	27	14	1	13	149	7	62	17	273	299	383	683	110	372	27	2	296	86	—	—	—	—	—	—
2014	22	A+ MLE	2 teams	—	243	230	54	10	1	1	9	54	2	24	10	235	274	300	574	65	298	22	4	256	59	—	—	—	—	—	—
2016	24	AA MLE	4 teams	—	464	436	130	34	6	8	21	90	4	24	12	298	337	459	796	161	355	19	5	343	118	—	—	—	—	—	—
2017	25	MLB MLE	Los Angeles Dodgers	—	102	95	26	3	0	5	5	16	1	0	1	274	314	463	777	189	280	16	5	342	118	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	307	291	75	15	1	5	10	83	3	4	2	258	288	368	655	110	337	27	3	285	79	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	249	231	66	14	1	8	15	49	2	2	2	286	335	459	794	173	331	20	6	350	89	+7	-0	+4	-5	+5	1.1
/ 162G	—	A+C		—	650	603	173	37	3	21	39	128	5	5	5	287	335	463	798	176	333	20	6	350	89	+18	-1	+10	-13	+14	2.8
Career	—	MLE		—	1882	1783	472	98	24	25	64	443	19	128	47	265	297	389	686	124	337	24	3	299	89	+7	-0	+4	-5	+5	1.1
/ 162G	—	MLE		—	650	616	163	34	8	9	22	153	7	44	16	265	298	390	688	125	336	24	3	299	89	+18	-1	+10	-13	+14	2.8

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.

2018 AAAOklahoma City Dodgers · 275 PAwOBA .347 → .289 (−58)K% 20.4% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.36%	÷0.970	×1.290	—	—	27.10%
BB% (unintentional) /PA	4.36%	÷1.021	×0.710	—	×1.018	3.09%
HBP% /PA	1.09%	—	×0.980	—	×1.018	1.09%
Singles /BIP	26.73%	÷0.992	×0.900	×1.042	×1.018	25.71%
Doubles /BIP	8.42%	÷1.029	×0.810	×1.042	×1.018	7.02%
Triples /BIP	0.50%	÷1.020	×0.810	×1.042	×1.018	0.42%
Home runs /BIP	3.47%	÷1.020	×0.780	—	×1.018	2.70%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 106, 3B 104, K 94, BB 104 — 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 ×1.042.

Result: wOBA .347 → .289; ISO .155 → .117; BABIP .367 → .339. 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 AATulsa Drillers · 190 PAwOBA .375 → .336 (−40)K% 15.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.996	×1.220	—	—	19.34%
BB% (unintentional) /PA	6.32%	÷0.935	×0.700	—	×1.012	4.78%
HBP% /PA	1.05%	—	×0.870	—	×1.012	0.93%
Singles /BIP	22.76%	÷0.990	×0.920	×1.014	×1.012	21.70%
Doubles /BIP	9.66%	÷0.926	×0.840	×1.014	×1.012	8.98%
Triples /BIP	2.07%	÷0.900	×0.940	×1.014	×1.012	2.22%
Home runs /BIP	3.45%	÷1.020	×0.800	—	×1.012	2.74%

Factors used: league row TL. Park (home-season share, regressed): HR 104, 1B 98, 2B 85, 3B 80, K 99, BB 87 — 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 ×1.014.

Result: wOBA .375 → .336; ISO .200 → .176; BABIP .355 → .336. 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+Rancho Cucamonga Quakes · 100 PAwOBA .391 → .324 (−67)K% 13.0% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.00%	÷0.979	×1.340	—	—	17.79%
BB% (unintentional) /PA	6.00%	÷1.046	×0.710	—	×0.988	4.02%
HBP% /PA	1.00%	—	×0.790	—	×0.988	0.78%
Singles /BIP	30.38%	÷1.043	×0.910	×1.027	×0.988	26.91%
Doubles /BIP	10.13%	÷0.938	×0.820	×1.027	×0.988	8.98%
Triples /BIP	2.53%	÷1.142	×0.760	×1.027	×0.988	1.71%
Home runs /BIP	0.00%	÷1.003	×0.920	—	×0.988	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 101, 1B 109, 2B 88, 3B 128, K 96, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .391 → .324; ISO .130 → .104; BABIP .430 → .376. 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 AAAOklahoma City Dodgers · 59 PAwOBA .367 → .330 (−37)K% 13.6% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.56%	÷0.972	×1.290	—	—	17.99%
BB% (unintentional) /PA	3.39%	÷1.059	×0.710	—	×1.048	2.38%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	22.92%	÷1.017	×0.900	×1.050	×1.048	22.32%
Doubles /BIP	10.42%	÷0.975	×0.810	×1.050	×1.048	9.53%
Triples /BIP	0.00%	÷1.104	×0.810	×1.050	×1.048	0.00%
Home runs /BIP	4.17%	÷0.947	×0.780	—	×1.048	3.60%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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 ×1.050.

Result: wOBA .367 → .330; ISO .196 → .170; BABIP .340 → .323. 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 A+Charlotte Stone Crabs · 218 PAwOBA .280 → .262 (−19)K% 14.2% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.22%	÷0.977	×1.420	—	—	20.67%
BB% (unintentional) /PA	5.50%	÷0.985	×0.750	—	×1.012	4.24%
HBP% /PA	0.46%	—	×0.930	—	×1.012	0.43%
Singles /BIP	23.81%	÷0.996	×0.920	×1.050	×1.012	23.38%
Doubles /BIP	5.95%	÷0.977	×0.960	×1.050	×1.012	6.21%
Triples /BIP	0.60%	÷1.109	×0.810	×1.050	×1.012	0.46%
Home runs /BIP	0.60%	÷0.899	×0.880	—	×1.012	0.59%

Factors used: league row FSL. Park (home-season share, regressed): HR 80, 1B 99, 2B 95, 3B 122, K 95, BB 97 — 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 ×1.050.

Result: wOBA .280 → .262; ISO .075 → .073; BABIP .300 → .297. 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 ROKGCL Rays · 25 PAwOBA .303 → .205 (−97)K% 24.0% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷1.000	×1.440	—	—	34.56%
BB% (unintentional) /PA	0.00%	÷1.000	×0.620	—	×0.975	0.00%
HBP% /PA	4.00%	—	×0.720	—	×0.975	2.81%
Singles /BIP	33.33%	÷1.000	×0.820	—	×0.975	26.65%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Triples /BIP	5.56%	÷1.000	×0.720	—	×0.975	3.90%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.975	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .303 → .205; ISO .083 → .051; BABIP .389 → .305. 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 ABowling Green Hot Rods · 552 PAwOBA .355 → .296 (−59)K% 19.0% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.02%	÷0.958	×1.360	—	—	26.99%
BB% (unintentional) /PA	3.80%	÷1.098	×0.690	—	×1.015	2.43%
HBP% /PA	1.27%	—	×0.780	—	×1.015	1.00%
Singles /BIP	28.02%	÷1.004	×0.920	×1.022	×1.015	26.64%
Doubles /BIP	8.45%	÷1.038	×0.830	×1.022	×1.015	7.01%
Triples /BIP	3.86%	÷0.974	×0.910	×1.022	×1.015	3.74%
Home runs /BIP	0.48%	÷1.044	×0.800	—	×1.015	0.38%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 101, 2B 108, 3B 95, K 92, BB 120 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .355 → .296; ISO .141 → .116; BABIP .402 → .372. 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 ROKPrinceton Rays · 214 PAwOBA .341 → .260 (−81)K% 16.8% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.82%	÷1.000	×1.420	—	—	23.89%
BB% (unintentional) /PA	4.21%	÷1.000	×0.640	—	×0.995	2.68%
HBP% /PA	0.93%	—	×0.740	—	×0.995	0.69%
Singles /BIP	20.25%	÷1.000	×0.840	×1.027	×0.995	17.38%
Doubles /BIP	7.98%	÷1.000	×0.740	×1.027	×0.995	6.03%
Triples /BIP	1.84%	÷1.000	×0.740	×1.027	×0.995	1.39%
Home runs /BIP	4.29%	÷1.000	×0.800	—	×0.995	3.42%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .341 → .260; ISO .201 → .149; BABIP .312 → .255. 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).