Cody Thomas

PosCF

B/TL/R

Born1994-10-08

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	26	AAAOAK	245	.289/.365/.665	18	0	99	—	.211/.266/.485
2022	27	AAA/ROKOAK	59	.196/.281/.333	1	0	22	—	.170/.228/.282
2022	27	MLBOakland Athle…	32	.267/.312/.267	0	0	70	-0.2
2023	28	AAAOAK	477	.301/.364/.562	23	5	98	—	.249/.297/.434
2023	28	MLBOakland Athle…	46	.238/.304/.381	1	0	96	-0.5
2024	29	No MLB games played
2025	30	No MLB games played
2026	31	No MLB games played

Last 3 seasons WAR -0.7

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

Max EV90

Speed79

Whiff%67

K%63

Z-Con%61

BB%24

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	21	ROK	Ogden Raptors	—	267	232	69	10	4	19	21	87	12	10	3	297	385	621	1.006	323	391	33	8	430	65	—	—	—	—	—	—
2017	22	A	Great Lakes Loons	—	512	460	102	18	4	20	43	150	5	6	7	222	295	409	704	187	279	29	8	311	38	—	—	—	—	—	—
2018	23	A+	Rancho Cucamonga Quakes	—	558	499	142	35	7	19	48	163	8	5	2	285	357	497	854	212	384	29	9	374	60	—	—	—	—	—	—
2018	23	INTL	Glendale Desert Dogs	—	74	62	10	2	0	0	7	23	4	1	0	161	288	194	481	32	250	31	9	238	47	—	—	—	—	—	—
2019	24	AA	Tulsa Drillers	—	532	474	112	17	6	23	46	144	6	5	3	236	312	443	755	207	284	27	9	330	59	—	—	—	—	—	—
2021	26	AAA	Las Vegas Aviators	—	245	218	63	20	4	18	25	78	1	0	0	289	365	665	1.030	376	366	32	10	436	99	—	—	—	—	—	—
2022	27	MLB	Oakland Athletics	—	32	30	8	0	0	0	2	12	0	0	0	267	312	267	579		444	38	6	270	70	-1	+0	-0	-1	+1	-0.2
2022	27	AAA	Las Vegas Aviators	—	39	35	7	3	0	1	2	13	1	0	0	200	263	371	635	171	273	33	5	276	28	—	—	—	—	—	—
2022	27	ROK	ACL Athletics	—	20	16	3	1	0	0	3	4	0	0	0	188	316	250	566	62	231	20	15	259	10	—	—	—	—	—	—
2023	28	MLB	Oakland Athletics	—	46	42	10	3	0	1	4	17	0	0	0	238	304	381	685	143	375	37	9	308	96	-0	+0	+0	-6	+1	-0.5
2023	28	AAA	Las Vegas Aviators	—	477	429	129	27	8	23	37	97	6	5	0	301	364	562	926	261	338	20	8	398	98	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	78	72	18	3	0	1	6	29	0	0	0	250	308	333	641	83	405	37	8	292	84	-1	+0	-0	-7	+2	-0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	21	ROK MLE	Ogden Raptors	—	267	240	44	6	2	12	13	125	12	10	3	183	260	375	635	192	291	47	5	265	65	—	—	—	—	—	—
2017	22	A MLE	Great Lakes Loons	—	512	476	77	12	3	14	27	206	5	6	7	162	215	288	502	126	242	40	5	224	38	—	—	—	—	—	—
2018	23	A+ MLE	Rancho Cucamonga Quakes	—	558	516	102	23	4	14	31	228	8	5	2	198	254	339	593	141	311	41	6	257	60	—	—	—	—	—	—
2019	24	AA MLE	Tulsa Drillers	—	532	490	91	12	5	19	30	184	6	5	3	186	241	347	588	161	242	35	6	256	59	—	—	—	—	—	—
2021	26	AAA MLE	Las Vegas Aviators	—	245	227	48	15	4	13	16	94	1	0	0	211	266	485	751	273	288	38	7	314	99	—	—	—	—	—	—
2022	27	MLB MLE	Oakland Athletics	—	32	30	8	0	0	0	2	12	0	0	0	267	312	267	579		444	38	6	271	70	-1	+0	-0	-1	+1	-0.2
2022	27	AAA MLE	Las Vegas Aviators	—	39	36	6	2	0	1	1	15	1	0	0	167	211	306	516	139	226	38	3	210	28	—	—	—	—	—	—
2022	27	ROK MLE	ACL Athletics	—	20	17	3	1	0	0	2	6	0	0	0	176	263	235	498	59	171	30	10	183	10	—	—	—	—	—	—
2023	28	MLB MLE	Oakland Athletics	—	46	42	10	3	0	1	4	17	0	0	0	238	304	381	685	143	375	37	9	310	96	-0	+0	+0	-6	+1	-0.5
2023	28	AAA MLE	Las Vegas Aviators	—	477	442	110	20	7	16	24	114	6	5	0	249	297	434	731	186	293	24	5	313	98	—	—	—	—	—	—
2016	21	ROK MLE	Ogden Raptors	—	267	240	44	6	2	12	13	125	12	10	3	183	260	375	635	192	305	47	5	265	65	—	—	—	—	—	—
2016	21	ROK RAW	Ogden Raptors	—	267	232	69	10	4	19	21	87	12	10	3	297	385	621	1.006	323	391	33	8	430	65	—	—	—	—	—	—
2017	22	A MLE	Great Lakes Loons	—	512	476	77	12	3	14	27	206	5	6	7	162	215	288	502	126	242	40	5	224	38	—	—	—	—	—	—
2017	22	A RAW	Great Lakes Loons	—	512	460	102	18	4	20	43	150	5	6	7	222	295	409	704	187	279	29	8	311	38	—	—	—	—	—	—
2018	23	A+ MLE	2 teams	—	632	581	115	26	4	16	35	258	12	6	2	198	258	339	597	141	318	41	6	257	60	—	—	—	—	—	—
2018	23	A+ RAW	2 teams	—	632	561	152	37	7	19	55	186	12	6	2	271	349	463	812	193	369	29	9	358	60	—	—	—	—	—	—
2019	24	AA MLE	Tulsa Drillers	—	532	490	91	12	5	19	30	184	6	5	3	186	241	347	588	161	246	35	6	256	59	—	—	—	—	—	—
2019	24	AA RAW	Tulsa Drillers	—	532	474	112	17	6	23	46	144	6	5	3	236	312	443	755	207	284	27	9	330	59	—	—	—	—	—	—
2021	26	AAA MLE	Las Vegas Aviators	—	245	227	48	15	4	13	16	94	1	0	0	211	266	485	751	273	289	38	7	314	99	—	—	—	—	—	—
2021	26	AAA RAW	Las Vegas Aviators	—	245	218	63	20	4	18	25	78	1	0	0	289	365	665	1.030	376	366	32	10	436	99	—	—	—	—	—	—
2022	27	AAA MLE	3 teams	—	91	83	16	3	0	1	5	33	1	0	0	193	247	265	512	72	294	36	5	226	39	—	—	—	—	—	—
2022	27	AAA RAW	3 teams	—	91	81	18	4	0	1	7	29	1	0	0	222	292	309	601	86	321	32	8	270	39	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	523	484	120	23	7	17	28	131	6	5	0	248	297	430	727	182	302	25	5	313	98	—	—	—	—	—	—
2023	28	AAA RAW	2 teams	—	523	471	139	30	8	24	41	114	6	5	0	295	359	546	905	251	340	22	8	390	98	—	—	—	—	—	—
2016	21	ROK MLE	Ogden Raptors	—	267	240	44	6	2	12	13	125	12	10	3	183	260	375	635	192	291	47	5	265	65	—	—	—	—	—	—
2017	22	A MLE	Great Lakes Loons	—	512	475	77	12	3	14	27	206	5	6	7	162	215	288	503	126	242	40	5	224	38	—	—	—	—	—	—
2018	23	A+ MLE	2 teams	—	632	580	115	26	4	16	35	258	12	6	2	198	258	340	598	141	311	41	6	257	60	—	—	—	—	—	—
2019	24	AA MLE	Tulsa Drillers	—	532	491	91	12	5	19	30	184	6	5	3	185	241	346	588	161	242	35	6	256	59	—	—	—	—	—	—
2021	26	AAA MLE	Las Vegas Aviators	—	245	226	48	15	4	13	16	94	1	0	0	212	266	487	753	274	288	38	7	314	99	—	—	—	—	—	—
2022	27	AAA MLE	3 teams	—	91	85	16	3	0	1	5	33	1	0	0	188	247	259	506	71	291	36	5	226	39	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	523	484	120	23	7	17	28	131	6	5	0	248	297	430	727	182	300	25	5	313	98	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	78	72	18	3	0	1	6	29	0	0	0	250	308	333	641	83	405	37	8	292	66	-1	+0	-0	-7	+2	-0.7
/ 162G	—	A+C		—	650	600	150	25	0	8	50	242	0	0	0	250	308	332	639	82	406	37	8	292	66	-12	+0	-1	-55	+14	-5.5
Career	—	MLE		—	2802	2581	511	97	25	92	154	1031	43	32	15	198	255	362	617	164	283	37	5	266	66	-1	+0	-0	-7	+2	-0.7
/ 162G	—	MLE		—	650	599	119	23	6	21	36	239	10	7	3	199	256	362	618	164	284	37	6	266	66	-12	+0	-1	-55	+14	-5.5

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.

2023 AAALas Vegas Aviators · 477 PAwOBA .391 → .313 (−78)K% 20.3% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.34%	÷1.017	×1.200	—	—	23.98%
BB% (unintentional) /PA	7.76%	÷1.055	×0.690	—	×0.982	4.98%
HBP% /PA	1.26%	—	×0.940	—	×0.982	1.16%
Singles /BIP	21.39%	÷0.993	×0.930	×1.029	×0.982	20.23%
Doubles /BIP	8.13%	÷1.124	×0.830	×1.029	×0.982	6.07%
Triples /BIP	2.41%	÷1.133	×0.970	×1.029	×0.982	2.08%
Home runs /BIP	6.93%	÷0.996	×0.700	—	×0.982	4.78%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 99, 2B 125, 3B 127, K 103, BB 111 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .391 → .313; ISO .261 → .191; BABIP .338 → .293. 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).

2022 AAALas Vegas Aviators · 39 PAwOBA .276 → .210 (−66)K% 33.3% → 39.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.009	×1.200	—	—	39.63%
BB% (unintentional) /PA	5.13%	÷0.992	×0.690	—	×0.992	3.54%
HBP% /PA	2.56%	—	×0.940	—	×0.992	2.39%
Singles /BIP	13.64%	÷0.995	×0.930	—	×0.992	12.64%
Doubles /BIP	13.64%	÷1.088	×0.830	—	×0.992	10.32%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.992	0.00%
Home runs /BIP	4.55%	÷1.075	×0.700	—	×0.992	2.94%

Factors used: league row International League. Park (home-season share, regressed): HR 115, 1B 99, 2B 118, 3B 80, K 102, BB 98 — 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 .276 → .210; ISO .171 → .116; BABIP .273 → .226. 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).

2022 ROKACL Athletics · 20 PAwOBA .267 → .183 (−84)K% 20.0% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.997	×1.440	—	—	28.88%
BB% (unintentional) /PA	15.00%	÷1.017	×0.620	—	×0.940	8.60%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	16.67%	÷1.007	×0.820	—	×0.940	12.76%
Doubles /BIP	8.33%	÷0.981	×0.720	—	×0.940	5.75%
Triples /BIP	0.00%	÷1.011	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.950	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 101, 2B 96, 3B 102, K 99, BB 103 — applied at half strength. Age: age 28 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (8.5 yr older than average).

Result: wOBA .267 → .183; ISO .062 → .045; BABIP .231 → .171. 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).

2021 AAALas Vegas Aviators · 245 PAwOBA .425 → .314 (−111)K% 31.8% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.84%	÷0.994	×1.200	—	—	38.43%
BB% (unintentional) /PA	10.20%	÷1.083	×0.690	—	×1.003	6.52%
HBP% /PA	0.41%	—	×0.940	—	×1.003	0.38%
Singles /BIP	15.00%	÷1.156	×0.930	×0.988	×1.003	11.95%
Doubles /BIP	14.29%	÷1.018	×0.830	×0.988	×1.003	11.54%
Triples /BIP	2.86%	÷0.956	×0.920	×0.988	×1.003	2.73%
Home runs /BIP	12.86%	÷0.941	×0.700	—	×1.003	9.59%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 131, 2B 104, 3B 91, K 99, BB 117 — 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 ×0.988.

Result: wOBA .425 → .314; ISO .376 → .281; BABIP .366 → .288. 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 AATulsa Drillers · 532 PAwOBA .325 → .256 (−68)K% 27.1% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.07%	÷0.954	×1.220	—	—	34.63%
BB% (unintentional) /PA	8.65%	÷1.063	×0.700	—	×0.998	5.68%
HBP% /PA	1.13%	—	×0.870	—	×0.998	0.98%
Singles /BIP	20.00%	÷0.997	×0.920	×0.950	×0.998	17.49%
Doubles /BIP	5.15%	÷1.048	×0.840	×0.950	×0.998	3.92%
Triples /BIP	1.82%	÷0.925	×0.940	×0.950	×0.998	1.75%
Home runs /BIP	6.97%	÷0.909	×0.800	—	×0.998	6.12%

Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 99, 2B 110, 3B 85, K 91, BB 113 — 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 ×0.950.

Result: wOBA .325 → .256; ISO .207 → .170; BABIP .284 → .242. 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 A+Rancho Cucamonga Quakes · 558 PAwOBA .365 → .257 (−108)K% 29.2% → 40.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.21%	÷0.957	×1.340	—	—	40.91%
BB% (unintentional) /PA	8.42%	÷1.066	×0.710	—	×0.988	5.54%
HBP% /PA	1.43%	—	×0.790	—	×0.988	1.12%
Singles /BIP	24.11%	÷1.025	×0.910	×0.984	×0.988	20.81%
Doubles /BIP	10.42%	÷1.076	×0.820	×0.984	×0.988	7.72%
Triples /BIP	2.08%	÷1.150	×0.760	×0.984	×0.988	1.34%
Home runs /BIP	5.65%	÷1.058	×0.920	—	×0.988	4.86%

Factors used: league row CAL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 130, K 91, BB 113 — 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 ×0.984.

Result: wOBA .365 → .257; ISO .212 → .146; BABIP .384 → .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).

2017 AGreat Lakes Loons · 512 PAwOBA .304 → .224 (−80)K% 29.3% → 40.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.30%	÷0.990	×1.360	—	—	40.25%
BB% (unintentional) /PA	8.20%	÷1.048	×0.690	—	×0.990	5.35%
HBP% /PA	0.98%	—	×0.780	—	×0.990	0.75%
Singles /BIP	19.35%	÷0.965	×0.920	×0.966	×0.990	17.63%
Doubles /BIP	5.81%	÷1.013	×0.830	×0.966	×0.990	4.55%
Triples /BIP	1.29%	÷1.013	×0.910	×0.966	×0.990	1.11%
Home runs /BIP	6.45%	÷0.970	×0.800	—	×0.990	5.27%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 93, 2B 103, 3B 103, K 98, BB 110 — 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 ×0.966.

Result: wOBA .304 → .224; ISO .187 → .135; BABIP .279 → .242. 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 ROKOgden Raptors · 267 PAwOBA .421 → .265 (−156)K% 32.6% → 46.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.58%	÷1.000	×1.440	—	—	46.92%
BB% (unintentional) /PA	7.87%	÷1.000	×0.610	—	×0.975	4.68%
HBP% /PA	4.49%	—	×0.720	—	×0.975	3.16%
Singles /BIP	24.83%	÷1.000	×0.820	×1.007	×0.975	19.99%
Doubles /BIP	6.90%	÷1.000	×0.720	×1.007	×0.975	4.88%
Triples /BIP	2.76%	÷1.000	×0.720	×1.007	×0.975	1.95%
Home runs /BIP	13.10%	÷1.000	×0.750	—	×0.975	9.58%

Factors used: league row PIO. 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .421 → .265; ISO .323 → .195; BABIP .391 → .291. 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 — .