Cody Asche

Pos3B

B/TL/R

Born1990-06-30

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	27	AAACWS	347	.292/.398/.495	14	4	93	—	.235/.313/.378
2017	27	MLBCWS	62	.105/.177/.175	1	0	-7	-1.5
2018	28	AAALas Vegas 51s	368	.220/.304/.399	11	0	42	—	.167/.228/.296
2019	29	AABOS	91	.208/.367/.292	1	3	49	—	.167/.278/.231
2020	30	No MLB games played
2021	31	No MLB games played
2022	32	No MLB games played
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR -1.5

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA37

Barrel%27

Speed26

Avg EV20

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	22	AA	Reading Phillies	—	289	263	79	20	3	10	22	56	3	1	1	300	361	513	874	213	348	19	8	382	97	—	—	—	—	—	—
2012	22	A+	Clearwater Threshers	—	270	255	88	13	3	2	12	37	1	10	2	345	377	443	820	98	394	14	4	364	89	—	—	—	—	—	—
2012	22	INTL	Peoria Javelinas	—	99	89	25	11	0	1	8	16	1	0	1	281	347	438	785	157	329	16	8	346	121	—	—	—	—	—	—
2013	23	MLB	Philadelphia Phillies	—	179	162	38	8	1	5	15	43	1	1	0	235	303	389	692	154	287	24	8	308	85	-3	+0	-0	+2	+4	0.3
2013	23	AAA	Lehigh Valley IronPigs	—	446	404	119	24	4	15	35	95	3	11	3	295	355	485	840	191	349	21	8	367	109	—	—	—	—	—	—
2014	24	MLB	Philadelphia Phillies	—	434	397	100	25	0	10	33	102	0	0	1	252	309	390	700	139	315	24	8	311	91	-5	-0	-5	+2	+9	0.1
2015	25	MLB	Philadelphia Phillies	—	456	425	104	22	3	12	26	111	4	1	2	245	295	395	690	151	304	24	6	307	89	-6	-1	-9	-6	+10	-1.2
2015	25	AAA	Lehigh Valley IronPigs	—	67	61	18	3	0	1	6	9	0	0	0	295	358	393	752	98	333	13	9	340	84	—	—	—	—	—	—
2016	26	MLB	Philadelphia Phillies	—	218	197	42	15	0	4	18	54	2	3	1	213	286	350	636	137	271	25	8	286	79	-5	+0	-4	-4	+5	-0.9
2016	26	AAA	Lehigh Valley IronPigs	—	123	111	31	8	0	6	11	26	1	1	0	279	350	514	863	234	316	21	9	378	96	—	—	—	—	—	—
2016	26	AA	Reading Fightin Phils	—	18	16	2	0	0	1	2	6	0	0	0	125	222	312	535	188	111	33	11	243	-11	—	—	—	—	—	—
2016	26	A+	Clearwater Threshers	—	19	18	3	0	0	1	1	6	0	0	0	167	211	333	544	167	182	32	5	241	-1	—	—	—	—	—	—
2017	27	MLB	Chicago White Sox	—	62	57	6	1	0	1	3	21	2	0	0	105	177	175	353	70	143	34	5	170	-7	-8	+0	-1	-7	+1	-1.5
2017	27	AAA	Charlotte Knights	—	347	291	85	15	1	14	49	75	2	4	1	292	398	495	893	203	343	22	14	390	93	—	—	—	—	—	—
2018	28	AAA	Las Vegas 51s	—	368	328	72	18	4	11	37	92	3	0	4	220	304	399	704	180	271	25	10	315	42	—	—	—	—	—	—
2019	29	AA	Portland Sea Dogs	—	91	72	15	3	0	1	17	28	1	3	0	208	367	292	658	83	318	31	19	313	49	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1349	1238	290	71	4	32	95	331	9	5	4	234	294	376	669	141	294	25	7	299	88	-19	-1	-19	-13	+29	-2.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	22	AA MLE	Reading Phillies	—	289	268	70	15	3	6	17	71	3	1	1	261	312	407	719	146	330	25	6	311	97	—	—	—	—	—	—
2012	22	A+ MLE	Clearwater Threshers	—	270	259	75	11	2	1	8	53	1	10	2	290	313	359	673	69	355	20	3	300	89	—	—	—	—	—	—
2013	23	MLB MLE	Philadelphia Phillies	—	179	165	38	8	1	5	12	43	1	1	0	230	287	382	668	152	287	24	7	294	85	-3	+0	-0	+2	+4	0.3
2013	23	AAA MLE	Lehigh Valley IronPigs	—	446	414	114	21	4	15	25	116	3	11	3	275	321	454	775	179	338	26	6	330	109	—	—	—	—	—	—
2014	24	MLB MLE	Philadelphia Phillies	—	434	401	100	26	0	9	29	102	0	0	1	249	300	382	682	132	315	24	7	302	91	-5	-0	-5	+2	+9	0.1
2015	25	MLB MLE	Philadelphia Phillies	—	456	428	104	23	3	11	23	111	4	1	2	243	288	388	676	145	304	24	5	299	89	-6	-1	-9	-6	+10	-1.2
2015	25	AAA MLE	Lehigh Valley IronPigs	—	67	63	17	2	0	1	4	11	0	0	0	270	313	349	663	79	308	16	6	293	84	—	—	—	—	—	—
2016	26	MLB MLE	Philadelphia Phillies	—	218	197	42	15	0	4	18	54	2	3	1	213	286	350	636	137	271	25	8	286	79	-5	+0	-4	-4	+5	-0.9
2016	26	AAA MLE	Lehigh Valley IronPigs	—	123	114	26	6	0	5	8	31	1	1	0	228	285	412	697	184	278	25	7	310	96	—	—	—	—	—	—
2016	26	AA MLE	Reading Fightin Phils	—	18	17	2	0	0	1	1	8	0	0	0	118	167	294	461	176	102	44	6	152	-11	—	—	—	—	—	—
2016	26	A+ MLE	Clearwater Threshers	—	19	18	2	0	0	1	1	9	0	0	0	111	158	278	436	167	161	47	5	167	-1	—	—	—	—	—	—
2017	27	MLB MLE	Chicago White Sox	—	62	58	6	1	0	1	2	21	2	0	0	103	161	172	334	69	143	34	3	158	-7	-8	+0	-1	-7	+1	-1.5
2017	27	AAA MLE	Charlotte Knights	—	347	307	72	12	1	10	33	95	2	4	1	235	313	378	691	143	292	27	10	306	93	—	—	—	—	—	—
2018	28	AAA MLE	Las Vegas 51s	—	368	341	57	14	3	8	24	120	3	0	4	167	228	296	524	129	230	33	7	231	42	—	—	—	—	—	—
2019	29	AA MLE	Portland Sea Dogs	—	91	78	13	2	0	1	11	34	1	3	0	167	278	231	509	64	276	37	12	240	49	—	—	—	—	—	—
2012	22	AA MLE	3 teams	—	658	619	171	31	6	9	30	145	5	11	4	276	315	389	704	113	345	22	5	306	93	—	—	—	—	—	—
2012	22	AA RAW	3 teams	—	658	607	192	44	6	13	42	109	5	11	4	316	365	473	838	157	366	17	6	369	93	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	625	579	151	29	5	19	37	159	4	12	3	261	310	427	736	166	325	25	6	320	102	—	—	—	—	—	—
2013	23	AAA RAW	2 teams	—	625	566	157	32	5	20	50	138	4	12	3	277	340	458	798	180	332	22	8	351	102	—	—	—	—	—	—
2014	24	MLB MLE	Philadelphia Phillies	—	434	401	100	26	0	9	29	102	0	0	1	249	300	382	682	132	313	24	7	302	91	-5	-0	-5	+2	+9	0.1
2014	24	MLB RAW	Philadelphia Phillies	—	434	397	100	25	0	10	33	102	0	0	1	252	309	390	700	139	315	24	8	311	91	-5	-0	-5	+2	+9	0.1
2015	25	MLB MLE	2 teams	—	523	491	121	25	3	12	27	122	4	1	2	246	291	383	674	136	304	23	5	298	88	-7	-1	-9	-6	+11	-1.2
2015	25	MLB RAW	2 teams	—	523	486	122	25	3	13	32	120	4	1	2	251	303	395	698	144	308	23	6	311	88	-7	-1	-9	-6	+11	-1.2
2016	26	MLB MLE	4 teams	—	378	346	72	22	0	10	28	101	3	4	1	208	273	358	632	150	263	27	7	281	76	-11	+0	-4	-4	+8	-1.0
2016	26	MLB RAW	4 teams	—	378	342	78	23	0	12	32	92	3	4	1	228	300	401	700	173	276	24	8	312	76	-11	+0	-4	-4	+8	-1.0
2017	27	AAA MLE	2 teams	—	409	365	78	13	1	11	35	116	4	4	1	214	290	345	635	132	276	28	9	284	78	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	409	348	91	16	1	15	52	96	4	4	1	261	364	443	806	181	314	23	13	357	78	—	—	—	—	—	—
2018	28	AAA MLE	Las Vegas 51s	—	368	341	57	14	3	8	24	120	3	0	4	167	228	296	524	129	230	33	7	231	42	—	—	—	—	—	—
2018	28	AAA RAW	Las Vegas 51s	—	368	328	72	18	4	11	37	92	3	0	4	220	304	399	704	180	271	25	10	315	42	—	—	—	—	—	—
2019	29	AA MLE	Portland Sea Dogs	—	91	78	13	2	0	1	11	34	1	3	0	167	278	231	509	64	273	37	12	240	49	—	—	—	—	—	—
2019	29	AA RAW	Portland Sea Dogs	—	91	72	15	3	0	1	17	28	1	3	0	208	367	292	658	83	318	31	19	313	49	—	—	—	—	—	—
2012	22	AA MLE	3 teams	—	658	618	171	31	6	9	30	145	5	11	4	277	315	390	705	113	342	22	5	306	93	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	625	579	151	29	5	19	37	159	4	12	3	261	310	427	736	166	323	25	6	320	102	—	—	—	—	—	—
2014	24	MLB MLE	Philadelphia Phillies	—	434	402	100	26	0	9	29	102	0	0	1	249	300	381	681	132	315	24	7	302	91	—	—	—	—	—	—
2015	25	MLB MLE	2 teams	—	523	487	121	25	3	12	27	122	4	1	2	248	291	386	677	138	304	23	5	298	88	—	—	—	—	—	—
2016	26	MLB MLE	4 teams	—	378	344	72	22	0	10	28	101	3	4	1	209	273	360	634	151	260	27	7	281	76	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	409	367	78	13	1	11	35	116	4	4	1	213	290	343	633	131	269	28	9	284	78	—	—	—	—	—	—
2018	28	AAA MLE	Las Vegas 51s	—	368	338	57	14	3	8	24	120	3	0	4	169	228	299	527	130	230	33	7	231	42	—	—	—	—	—	—
2019	29	AA MLE	Portland Sea Dogs	—	91	79	13	2	0	1	11	34	1	3	0	165	278	228	506	63	276	37	12	240	49	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1349	1238	290	71	4	32	95	331	9	5	4	234	294	376	669	141	294	25	7	299	84	-19	-1	-19	-13	+29	-2.3
/ 162G	—	A+C		—	650	597	139	34	2	15	46	159	4	2	2	233	292	372	664	139	292	24	7	299	84	-9	-0	-9	-6	+14	-1.1
Career	—	MLE		—	3486	3220	763	162	18	79	221	899	24	35	16	237	291	372	663	135	303	26	6	292	84	-19	-1	-19	-13	+29	-2.3
/ 162G	—	MLE		—	650	600	142	30	3	15	41	168	4	7	3	237	289	372	661	135	302	26	6	292	84	-9	-0	-9	-6	+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.

2019 AAPortland Sea Dogs · 91 PAwOBA .310 → .240 (−69)K% 30.8% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.77%	÷0.991	×1.220	—	—	37.89%
BB% (unintentional) /PA	18.68%	÷0.997	×0.700	—	×0.958	12.57%
HBP% /PA	1.10%	—	×0.850	—	×0.958	0.89%
Singles /BIP	25.00%	÷1.016	×0.970	—	×0.958	22.86%
Doubles /BIP	6.82%	÷1.158	×0.860	—	×0.958	4.85%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.958	0.00%
Home runs /BIP	2.27%	÷0.953	×0.780	—	×0.958	1.78%

Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 103, 2B 132, 3B 130, K 98, BB 99 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .310 → .240; ISO .083 → .063; BABIP .318 → .276. 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 AAALas Vegas 51s · 368 PAwOBA .305 → .231 (−74)K% 25.0% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.986	×1.290	—	—	32.71%
BB% (unintentional) /PA	9.78%	÷1.039	×0.710	—	×0.992	6.63%
HBP% /PA	0.82%	—	×0.980	—	×0.992	0.79%
Singles /BIP	16.53%	÷0.992	×0.900	×0.964	×0.992	14.35%
Doubles /BIP	7.63%	÷0.918	×0.810	×0.964	×0.992	6.44%
Triples /BIP	1.69%	÷0.959	×0.810	×0.964	×0.992	1.37%
Home runs /BIP	4.66%	÷1.009	×0.780	—	×0.992	3.58%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .305 → .231; ISO .180 → .134; BABIP .271 → .230. 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 AAACharlotte Knights · 347 PAwOBA .385 → .306 (−79)K% 21.6% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.61%	÷0.952	×1.200	—	—	27.25%
BB% (unintentional) /PA	13.83%	÷1.008	×0.690	—	×1.003	9.50%
HBP% /PA	0.58%	—	×0.940	—	×1.003	0.54%
Singles /BIP	25.46%	÷1.012	×0.930	×0.951	×1.003	22.30%
Doubles /BIP	6.94%	÷0.958	×0.830	×0.951	×1.003	5.74%
Triples /BIP	0.46%	÷1.077	×0.970	×0.951	×1.003	0.40%
Home runs /BIP	6.48%	÷1.150	×0.840	—	×1.003	4.75%

Factors used: league row IL. Park (home-season share, regressed): HR 130, 1B 102, 2B 92, 3B 115, K 90, BB 102 — 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 ×0.951.

Result: wOBA .385 → .306; ISO .203 → .155; BABIP .343 → .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 AAALehigh Valley IronPigs · 123 PAwOBA .368 → .310 (−57)K% 21.1% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.14%	÷1.018	×1.200	—	—	24.92%
BB% (unintentional) /PA	8.94%	÷1.035	×0.690	—	×1.018	6.07%
HBP% /PA	0.81%	—	×0.940	—	×1.018	0.78%
Singles /BIP	20.00%	÷1.028	×0.930	×0.991	×1.018	18.25%
Doubles /BIP	9.41%	÷1.018	×0.830	×0.991	×1.018	7.74%
Triples /BIP	0.00%	÷1.107	×0.970	×0.991	×1.018	0.00%
Home runs /BIP	7.06%	÷0.942	×0.840	—	×1.018	6.41%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 106, 2B 104, 3B 121, K 104, BB 107 — 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 ×0.991.

Result: wOBA .368 → .310; ISO .234 → .204; BABIP .316 → .278. 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+Clearwater Threshers · 19 PAwOBA .234 → .167 (−67)K% 31.6% → 45.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.58%	÷0.986	×1.420	—	—	45.50%
BB% (unintentional) /PA	5.26%	÷1.011	×0.750	—	×0.968	3.78%
HBP% /PA	0.00%	—	×0.930	—	×0.968	0.00%
Singles /BIP	16.67%	÷0.997	×0.920	—	×0.968	14.89%
Doubles /BIP	0.00%	÷0.947	×0.960	—	×0.968	0.00%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.968	0.00%
Home runs /BIP	8.33%	÷0.964	×0.880	—	×0.968	7.37%

Factors used: league row FSL. Park (home-season share, regressed): HR 93, 1B 99, 2B 89, 3B 80, K 97, BB 102 — 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).

Result: wOBA .234 → .167; ISO .167 → .118; BABIP .182 → .161. 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 AAReading Fightin Phils · 18 PAwOBA .237 → .152 (−85)K% 33.3% → 43.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.936	×1.220	—	—	43.45%
BB% (unintentional) /PA	11.11%	÷1.042	×0.700	—	×0.988	7.38%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	10.00%	÷1.002	×0.970	—	×0.988	9.57%
Doubles /BIP	0.00%	÷0.998	×0.860	—	×0.988	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.988	0.00%
Home runs /BIP	10.00%	÷1.273	×0.780	—	×0.988	6.05%

Factors used: league row EL. Park (home-season share, regressed): HR 155, 1B 100, 2B 100, 3B 130, K 87, BB 108 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .237 → .152; ISO .188 → .100; BABIP .111 → .102. 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).

2015 AAALehigh Valley IronPigs · 67 PAwOBA .326 → .293 (−33)K% 13.4% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.43%	÷1.019	×1.200	—	—	15.82%
BB% (unintentional) /PA	7.46%	÷1.013	×0.690	—	×1.033	5.25%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	26.92%	÷0.991	×0.930	×1.012	×1.033	26.40%
Doubles /BIP	5.77%	÷1.314	×0.830	×1.012	×1.033	3.81%
Triples /BIP	0.00%	÷0.921	×0.970	×1.012	×1.033	0.00%
Home runs /BIP	1.92%	÷0.845	×0.840	—	×1.033	1.98%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 98, 2B 163, 3B 84, K 104, BB 103 — 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 ×1.012.

Result: wOBA .326 → .293; ISO .098 → .084; BABIP .333 → .308. 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 AAALehigh Valley IronPigs · 446 PAwOBA .360 → .330 (−30)K% 21.3% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.30%	÷0.985	×1.200	—	—	25.95%
BB% (unintentional) /PA	7.62%	÷1.001	×0.690	—	×1.050	5.52%
HBP% /PA	0.67%	—	×0.940	—	×1.050	0.66%
Singles /BIP	24.60%	÷0.994	×0.930	×1.015	×1.050	24.52%
Doubles /BIP	7.77%	÷0.991	×0.830	×1.015	×1.050	6.93%
Triples /BIP	1.29%	÷1.116	×0.970	×1.015	×1.050	1.20%
Home runs /BIP	4.85%	÷0.891	×0.840	—	×1.050	4.81%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 99, 2B 98, 3B 123, K 97, BB 100 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .360 → .330; ISO .191 → .178; BABIP .349 → .338. 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).