Cody Ross

PosRF

B/TR/L

Born1980-12-23

Age (2027)46

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	32	MLBARI	351	.278/.336/.413	8	3	103	1.1
2014	33	AAAARI	32	.290/.312/.323	0	0	28	—	.226/.250/.258
2014	33	MLBARI	219	.252/.307/.322	2	0	77	-1.1
2015	34	MLBOakland Athle…	25	.091/.200/.091	0	0	-8	-0.4
2016	35	No MLB games played
2017	36	No MLB games played
2018	37	No MLB games played
2019	38	No MLB games played
2020	39	No MLB games played
2021	40	No MLB games played
2022	41	No MLB games played
2023	42	No MLB games played
2024	43	No MLB games played
2025	44	No MLB games played
2026	45	No MLB games played

Last 3 seasons WAR -0.4

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)
2003	22	MLB	Detroit Tigers	—	22	19	4	1	0	1	1	3	1	0	0	211	286	421	707	211	200	14	5	300	89	-0	+0	-1	-0	+0	-0.1
2005	24	MLB	Los Angeles Dodgers	—	26	25	4	1	0	0	1	10	0	0	0	160	192	200	392	40	267	38	4	181	8	-3	+0	+3	-5	+1	-0.5
2005	24	AAA	Las Vegas 51s	—	448	393	105	21	4	22	49	103	2	4	2	267	351	509	860	242	305	23	11	374	83	—	—	—	—	—	—
2006	25	MLB	Florida Marlins	—	298	269	61	12	2	13	22	65	4	1	1	227	295	431	726	204	249	22	7	318	101	+0	-0	-5	-4	+6	-0.2
2006	25	AAA	Louisville Bats	—	64	50	17	1	0	3	13	12	1	0	2	340	484	540	1.024	200	400	19	20	455	147	—	—	—	—	—	—
2007	26	MLB	Florida Marlins	—	197	173	58	19	0	12	20	38	3	2	0	335	413	653	1.066	318	371	19	10	457	188	+21	+0	-4	+1	+4	2.2
2007	26	A+	Jupiter Hammerheads	—	24	23	6	1	0	2	1	6	0	0	0	261	292	565	857	304	267	25	4	369	68	—	—	—	—	—	—
2008	27	MLB	Florida Marlins	—	506	461	120	29	5	22	33	116	7	6	1	260	319	488	807	228	299	23	7	350	121	+13	+1	+13	+2	+11	4.0
2009	28	MLB	Florida Marlins	—	604	559	151	37	1	24	34	122	9	5	2	270	322	469	791	199	306	20	6	348	121	+15	+0	-8	+2	+13	2.3
2010	29	MLB	San Francisco Giants	—	569	525	141	28	3	14	37	121	5	9	2	269	323	413	736	145	324	21	7	327	109	+6	+1	+3	+2	+12	2.4
2011	30	MLB	San Francisco Giants	—	461	405	97	25	0	14	49	96	4	5	2	240	328	405	732	165	279	21	11	327	108	+4	+0	-11	-5	+10	-0.1
2012	31	MLB	Boston Red Sox	—	528	476	127	34	1	22	42	129	3	2	3	267	330	481	811	214	317	24	8	352	116	+10	-1	-0	-6	+11	1.5
2013	32	MLB	Arizona Diamondbacks	—	351	317	88	17	1	8	25	50	3	3	2	278	336	413	749	136	303	14	7	330	103	+1	-0	+6	-4	+8	1.1
2013	32	A+	Visalia Rawhide	—	19	16	2	0	0	0	1	4	1	0	0	125	222	125	347		154	21	5	171	-22	—	—	—	—	—	—
2014	33	MLB	Arizona Diamondbacks	—	219	202	51	8	0	2	15	44	1	0	0	252	307	322	629	69	312	20	7	286	77	-6	+0	-7	-3	+5	-1.1
2014	33	AAA	Reno Aces	—	32	31	9	1	0	0	1	5	0	0	0	290	312	323	635	32	346	16	3	288	28	—	—	—	—	—	—
2015	34	MLB	Oakland Athletics	—	25	22	2	0	0	0	3	6	0	0	0	91	200	91	291		125	24	12	156	-8	-3	+0	-1	-0	+1	-0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3806	3453	904	211	13	132	282	800	40	33	13	262	325	445	770	183	303	21	7	339	115	+69	+1	-12	-20	+82	12.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2003	22	MLB MLE	Detroit Tigers	—	22	19	4	1	0	1	1	3	1	0	0	211	286	421	707	211	200	14	5	300	89	-0	+0	-1	-0	+0	-0.1
2005	24	MLB MLE	Los Angeles Dodgers	—	26	25	4	1	0	0	1	10	0	0	0	160	192	200	392	40	267	38	4	181	8	-3	+0	+3	-5	+1	-0.5
2005	24	AAA MLE	Las Vegas 51s	—	448	407	86	16	3	17	35	133	2	4	2	211	277	391	668	179	263	30	8	291	83	—	—	—	—	—	—
2006	25	MLB MLE	Florida Marlins	—	298	269	61	12	2	13	22	65	4	1	1	227	295	431	726	204	249	22	7	318	101	+0	-0	-5	-4	+6	-0.2
2006	25	AAA MLE	Louisville Bats	—	64	54	17	1	0	3	9	14	1	0	2	315	422	500	922	185	371	22	14	386	147	—	—	—	—	—	—
2007	26	MLB MLE	Florida Marlins	—	197	176	58	19	0	12	17	38	3	2	0	330	398	642	1.040	313	371	19	9	446	188	+21	+0	-4	+1	+4	2.2
2007	26	A+ MLE	Jupiter Hammerheads	—	24	23	4	1	0	1	1	9	0	0	0	174	208	348	556	174	233	38	4	269	68	—	—	—	—	—	—
2008	27	MLB MLE	Florida Marlins	—	506	463	120	29	5	22	31	116	7	6	1	259	315	486	801	227	299	23	6	347	121	+13	+1	+13	+2	+11	4.0
2009	28	MLB MLE	Florida Marlins	—	604	560	151	37	1	24	33	122	9	5	2	270	321	468	788	198	306	20	5	346	121	+15	+0	-8	+2	+13	2.3
2010	29	MLB MLE	San Francisco Giants	—	569	529	143	28	3	15	33	121	5	9	2	270	319	420	739	149	324	21	6	329	109	+6	+1	+3	+2	+12	2.4
2011	30	MLB MLE	San Francisco Giants	—	461	409	99	25	0	15	45	96	4	5	2	242	323	413	736	171	279	21	10	328	108	+4	+0	-11	-5	+10	-0.1
2012	31	MLB MLE	Boston Red Sox	—	528	479	123	30	1	23	39	129	3	2	3	257	317	468	784	211	317	24	7	340	116	+10	-1	-0	-6	+11	1.5
2013	32	MLB MLE	Arizona Diamondbacks	—	351	318	87	16	1	8	24	50	3	3	2	274	330	406	736	132	303	14	7	320	103	+1	-0	+6	-4	+8	1.1
2013	32	A+ MLE	Visalia Rawhide	—	19	16	2	0	0	0	1	5	1	0	0	125	222	125	347		128	26	5	135	-22	—	—	—	—	—	—
2014	33	MLB MLE	Arizona Diamondbacks	—	219	202	50	7	0	2	15	44	1	0	0	248	303	312	615	64	312	20	7	281	77	-6	+0	-7	-3	+5	-1.1
2014	33	AAA MLE	Reno Aces	—	32	31	7	1	0	0	1	7	0	0	0	226	250	258	508	32	277	22	3	209	28	—	—	—	—	—	—
2015	34	MLB MLE	Oakland Athletics	—	25	22	2	0	0	0	3	6	0	0	0	91	200	91	291		125	24	12	156	-8	-3	+0	-1	-0	+1	-0.4
2003	22	MLB MLE	Detroit Tigers	—	22	19	4	1	0	1	1	3	1	0	0	211	286	421	707	211	200	14	5	300	89	-0	+0	-1	-0	+0	-0.1
2003	22	MLB RAW	Detroit Tigers	—	22	19	4	1	0	1	1	3	1	0	0	211	286	421	707	211	200	14	5	300	89	-0	+0	-1	-0	+0	-0.1
2005	24	AAA MLE	2 teams	—	474	432	90	17	3	17	36	143	2	4	2	208	272	380	652	171	264	30	8	285	79	—	—	—	—	—	—
2005	24	AAA RAW	2 teams	—	474	418	109	22	4	22	50	113	2	4	2	261	343	490	833	230	303	24	11	363	79	—	—	—	—	—	—
2006	25	MLB MLE	2 teams	—	362	323	78	13	2	16	31	79	5	1	3	241	318	443	760	201	270	22	9	330	109	+4	-1	-5	-4	+8	0.2
2006	25	MLB RAW	2 teams	—	362	319	78	13	2	16	35	77	5	1	3	245	329	448	777	204	272	21	10	342	109	+4	-1	-5	-4	+8	0.2
2007	26	MLB MLE	2 teams	—	221	199	62	20	0	13	18	47	3	2	0	312	377	608	985	296	350	21	8	427	175	+20	+0	-4	+1	+5	2.2
2007	26	MLB RAW	2 teams	—	221	196	64	20	0	14	21	44	3	2	0	327	400	643	1.043	316	360	20	10	447	175	+20	+0	-4	+1	+5	2.2
2008	27	MLB MLE	Florida Marlins	—	506	463	120	29	5	22	31	116	7	6	1	259	315	486	801	227	297	23	6	347	121	+13	+1	+13	+2	+11	4.0
2008	27	MLB RAW	Florida Marlins	—	506	461	120	29	5	22	33	116	7	6	1	260	319	488	807	228	299	23	7	350	121	+13	+1	+13	+2	+11	4.0
2009	28	MLB MLE	Florida Marlins	—	604	560	151	37	1	24	33	122	9	5	2	270	321	468	788	198	305	20	5	346	121	+15	+0	-8	+2	+13	2.3
2009	28	MLB RAW	Florida Marlins	—	604	559	151	37	1	24	34	122	9	5	2	270	322	469	791	199	306	20	6	348	121	+15	+0	-8	+2	+13	2.3
2010	29	MLB MLE	San Francisco Giants	—	569	529	143	28	3	15	33	121	5	9	2	270	319	420	739	149	324	21	6	329	109	+6	+1	+3	+2	+12	2.4
2010	29	MLB RAW	San Francisco Giants	—	569	525	141	28	3	14	37	121	5	9	2	269	323	413	736	145	324	21	7	327	109	+6	+1	+3	+2	+12	2.4
2011	30	MLB MLE	San Francisco Giants	—	461	409	99	25	0	15	45	96	4	5	2	242	323	413	736	171	279	21	10	328	108	+4	+0	-11	-5	+10	-0.1
2011	30	MLB RAW	San Francisco Giants	—	461	405	97	25	0	14	49	96	4	5	2	240	328	405	732	165	279	21	11	327	108	+4	+0	-11	-5	+10	-0.1
2012	31	MLB MLE	Boston Red Sox	—	528	479	123	30	1	23	39	129	3	2	3	257	317	468	784	211	300	24	7	340	116	+10	-1	-0	-6	+11	1.5
2012	31	MLB RAW	Boston Red Sox	—	528	476	127	34	1	22	42	129	3	2	3	267	330	481	811	214	317	24	8	352	116	+10	-1	-0	-6	+11	1.5
2013	32	MLB MLE	2 teams	—	370	334	88	16	1	8	25	55	4	3	2	263	322	389	712	126	289	15	7	311	97	-2	-0	+6	-4	+8	0.9
2013	32	MLB RAW	2 teams	—	370	333	90	17	1	8	26	54	4	3	2	270	331	399	730	129	296	15	7	322	97	-2	-0	+6	-4	+8	0.9
2014	33	MLB MLE	2 teams	—	251	233	57	8	0	2	16	51	1	0	0	245	296	305	601	60	304	20	6	272	70	-9	+0	-7	-3	+5	-1.3
2014	33	MLB RAW	2 teams	—	251	233	60	9	0	2	16	49	1	0	0	258	308	322	630	64	317	20	6	287	70	-9	+0	-7	-3	+5	-1.3
2015	34	MLB MLE	Oakland Athletics	—	25	22	2	0	0	0	3	6	0	0	0	91	200	91	291		125	24	12	156	-8	-3	+0	-1	-0	+1	-0.4
2015	34	MLB RAW	Oakland Athletics	—	25	22	2	0	0	0	3	6	0	0	0	91	200	91	291		125	24	12	156	-8	-3	+0	-1	-0	+1	-0.4
2003	22	MLB MLE	Detroit Tigers	—	22	20	4	1	0	1	1	3	1	0	0	200	286	400	686	200	200	14	5	300	89	—	—	—	—	—	—
2005	24	AAA MLE	2 teams	—	474	433	90	17	3	17	36	143	2	4	2	208	272	379	651	171	263	30	8	285	79	—	—	—	—	—	—
2006	25	MLB MLE	2 teams	—	362	323	78	13	2	16	31	79	5	1	3	241	318	443	760	201	270	22	9	330	109	—	—	—	—	—	—
2007	26	MLB MLE	2 teams	—	221	198	62	20	0	13	18	47	3	2	0	313	377	611	988	298	356	21	8	427	175	—	—	—	—	—	—
2008	27	MLB MLE	Florida Marlins	—	506	463	120	29	5	22	31	116	7	6	1	259	315	486	801	227	299	23	6	347	121	—	—	—	—	—	—
2009	28	MLB MLE	Florida Marlins	—	604	557	151	37	1	24	33	122	9	5	2	271	321	470	791	199	306	20	5	346	121	—	—	—	—	—	—
2010	29	MLB MLE	San Francisco Giants	—	569	526	143	28	3	15	33	121	5	9	2	272	319	422	741	150	324	21	6	329	109	—	—	—	—	—	—
2011	30	MLB MLE	San Francisco Giants	—	461	409	99	25	0	15	45	96	4	5	2	242	323	413	736	171	279	21	10	328	108	—	—	—	—	—	—
2012	31	MLB MLE	Boston Red Sox	—	528	481	123	30	1	23	39	129	3	2	3	256	317	466	782	210	317	24	7	340	116	—	—	—	—	—	—
2013	32	MLB MLE	2 teams	—	370	338	88	16	1	8	25	55	4	3	2	260	322	385	707	124	294	15	7	311	97	—	—	—	—	—	—
2014	33	MLB MLE	2 teams	—	251	232	57	8	0	2	16	51	1	0	0	246	296	306	602	60	308	20	6	272	70	—	—	—	—	—	—
2015	34	MLB MLE	Oakland Athletics	—	25	22	2	0	0	0	3	6	0	0	0	91	200	91	291		125	24	12	156	-8	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3806	3453	904	211	13	132	282	800	40	33	13	262	325	445	770	183	303	21	7	339	109	+69	+1	-12	-20	+82	12.4
/ 162G	—	A+C		—	650	590	155	36	2	23	48	137	7	6	2	263	326	447	774	185	303	21	7	339	109	+12	+0	-2	-3	+14	2.1
Career	—	MLE		—	4393	4002	1017	224	16	156	311	968	44	37	17	254	315	435	750	181	296	22	7	329	109	+69	+1	-12	-20	+82	12.4
/ 162G	—	MLE		—	650	592	150	33	2	23	46	143	7	5	3	253	315	432	748	179	295	22	7	329	109	+12	+0	-2	-3	+14	2.1

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.

2014 AAAReno Aces · 32 PAwOBA .280 → .209 (−71)K% 15.6% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.62%	÷0.965	×1.290	—	—	20.89%
BB% (unintentional) /PA	3.12%	÷1.049	×0.710	—	×0.940	1.99%
HBP% /PA	0.00%	—	×0.980	—	×0.940	0.00%
Singles /BIP	30.77%	÷1.047	×0.900	—	×0.940	24.87%
Doubles /BIP	3.85%	÷1.047	×0.810	—	×0.940	2.80%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.116	×0.780	—	×0.940	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 109, 2B 109, 3B 130, K 93, BB 110 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average).

Result: wOBA .280 → .209; ISO .032 → .022; BABIP .346 → .277. 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 A+Visalia Rawhide · 19 PAwOBA .176 → .135 (−42)K% 21.1% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷0.981	×1.340	—	—	28.75%
BB% (unintentional) /PA	5.26%	÷1.156	×0.710	—	×0.940	3.04%
HBP% /PA	5.26%	—	×0.790	—	×0.940	3.91%
Singles /BIP	16.67%	÷1.029	×0.910	—	×0.940	13.86%
Doubles /BIP	0.00%	÷1.043	×0.820	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.087	×0.760	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.118	×0.920	—	×0.940	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 124, 1B 106, 2B 109, 3B 117, K 96, BB 131 — applied at half strength. Age: age 33 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (10.2 yr older than average).

Result: wOBA .176 → .135; ISO .000 → .000; BABIP .154 → .128. 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).

2007 A+Jupiter Hammerheads · 24 PAwOBA .358 → .269 (−89)K% 25.0% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.000	×1.420	—	—	35.50%
BB% (unintentional) /PA	4.17%	÷1.000	×0.750	—	×0.958	2.99%
HBP% /PA	0.00%	—	×0.930	—	×0.958	0.00%
Singles /BIP	17.65%	÷1.000	×0.920	—	×0.958	15.55%
Doubles /BIP	5.88%	÷1.000	×0.960	—	×0.958	5.41%
Triples /BIP	0.00%	÷1.000	×0.810	—	×0.958	0.00%
Home runs /BIP	11.76%	÷1.000	×0.880	—	×0.958	9.92%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .358 → .269; ISO .304 → .226; BABIP .267 → .233. 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).

2006 AAALouisville Bats · 64 PAwOBA .444 → .386 (−58)K% 18.8% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.000	×1.200	—	—	22.50%
BB% (unintentional) /PA	20.31%	÷1.000	×0.690	—	×1.018	14.27%
HBP% /PA	1.56%	—	×0.940	—	×1.018	1.50%
Singles /BIP	34.21%	÷1.000	×0.930	—	×1.018	32.39%
Doubles /BIP	2.63%	÷1.000	×0.830	—	×1.018	2.22%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.018	0.00%
Home runs /BIP	7.89%	÷1.000	×0.840	—	×1.018	6.75%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).

Result: wOBA .444 → .386; ISO .200 → .178; BABIP .400 → .371. 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).

2005 AAALas Vegas 51s · 448 PAwOBA .366 → .291 (−74)K% 23.0% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.99%	÷1.000	×1.290	—	—	29.66%
BB% (unintentional) /PA	10.71%	÷1.000	×0.710	—	×1.033	7.86%
HBP% /PA	0.45%	—	×0.980	—	×1.033	0.45%
Singles /BIP	20.00%	÷1.000	×0.900	×0.970	×1.033	18.04%
Doubles /BIP	7.24%	÷1.000	×0.810	×0.970	×1.033	5.88%
Triples /BIP	1.38%	÷1.000	×0.810	×0.970	×1.033	1.12%
Home runs /BIP	7.59%	÷1.000	×0.780	—	×1.033	6.11%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.970.

Result: wOBA .366 → .291; ISO .242 → .187; BABIP .305 → .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).