Chris Shaw

PosLF

B/TL/R

Born1993-10-20

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	25	AAA/AASF	492	.294/.362/.559	28	2	93	—	.233/.286/.431
2019	25	MLBSF	20	.056/.150/.056	0	0	-36	-1.4
2021	27	AAA/A+2 orgs	74	.067/.243/.150	1	0	-19	—	.045/.162/.104
2023	29	AACWS	225	.197/.329/.426	12	1	37	—	.125/.222/.270
2024	30	No MLB games played
2025	31	No MLB games played
2026	32	No MLB games played

Last 3 seasons WAR -1.4

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AA

ISO90

BB%89

wOBA61

wRC+58

Chase%30

Speed23

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	22	AA	Richmond Flying Squirrels	—	256	232	57	16	4	5	20	55	2	0	0	246	311	414	725	168	299	21	8	319	70	—	—	—	—	—	—
2016	22	A+	San Jose Giants	—	305	270	77	22	0	16	28	70	4	0	0	285	361	544	905	259	326	23	9	391	98	—	—	—	—	—	—
2017	23	AAA	Sacramento River Cats	—	360	336	97	25	1	18	20	106	1	0	0	289	331	530	860	241	367	29	6	372	82	—	—	—	—	—	—
2017	23	AA	Richmond Flying Squirrels	—	154	133	40	10	0	6	18	26	2	0	0	301	392	511	903	211	333	17	12	397	112	—	—	—	—	—	—
2017	23	INTL	Scottsdale Scorpions	—	22	19	3	0	0	0	3	2	0	0	0	158	273	158	431		176	9	14	219	34	—	—	—	—	—	—
2018	24	MLB	San Francisco Giants	—	62	54	10	2	0	1	7	23	0	1	0	185	279	278	556	93	290	37	11	256	62	-3	+0	-1	-5	+1	-0.7
2018	24	AAA	Sacramento River Cats	—	422	394	102	21	2	24	21	144	7	0	0	259	308	505	813	246	345	34	5	355	75	—	—	—	—	—	—
2019	25	MLB	San Francisco Giants	—	20	18	1	0	0	0	2	8	0	0	0	56	150	56	206		100	40	10	115	-36	-3	+0	-1	-9	+0	-1.4
2019	25	AAA	Sacramento River Cats	—	310	282	84	18	1	21	20	78	6	0	0	298	357	592	949	294	341	25	6	408	90	—	—	—	—	—	—
2019	25	AA	Richmond Flying Squirrels	—	182	160	46	9	2	7	19	33	2	2	2	287	370	500	870	213	322	18	10	381	97	—	—	—	—	—	—
2021	27	AAA	Norfolk Tides	—	50	39	1	0	0	0	11	25	0	0	0	26	240	26	266		71	50	22	172	-36	—	—	—	—	—	—
2021	27	A+	Aberdeen IronBirds	—	24	21	3	2	0	1	3	7	0	0	0	143	250	381	631	238	154	29	12	281	15	—	—	—	—	—	—
2023	29	AA	Birmingham Barons	—	225	188	37	7	0	12	35	83	2	1	0	197	329	426	754	229	269	37	16	338	37	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	82	72	11	2	0	1	9	31	0	1	0	153	247	222	469	69	244	38	11	222	36	-6	+0	-2	-14	+2	-2.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	22	AA MLE	Richmond Flying Squirrels	—	256	239	53	14	3	4	13	69	2	0	0	222	268	356	623	134	290	27	5	272	70	—	—	—	—	—	—
2016	22	A+ MLE	San Jose Giants	—	305	280	65	18	0	13	18	94	4	0	0	232	288	436	724	204	289	31	6	313	98	—	—	—	—	—	—
2017	23	AAA MLE	Sacramento River Cats	—	360	341	78	19	1	15	15	138	1	0	0	229	263	422	686	194	324	38	4	290	82	—	—	—	—	—	—
2017	23	AA MLE	Richmond Flying Squirrels	—	154	139	37	8	0	6	12	33	2	0	0	266	333	453	787	187	299	21	8	333	112	—	—	—	—	—	—
2018	24	MLB MLE	San Francisco Giants	—	62	54	10	2	0	1	7	23	0	1	0	185	279	278	556	93	290	37	11	260	62	-3	+0	-1	-5	+1	-0.7
2018	24	AAA MLE	Sacramento River Cats	—	422	400	86	18	1	18	15	173	7	0	0	215	256	400	656	185	325	41	4	279	75	—	—	—	—	—	—
2019	25	MLB MLE	San Francisco Giants	—	20	18	1	0	0	0	2	8	0	0	0	56	150	56	206		100	40	10	116	-36	-3	+0	-1	-9	+0	-1.4
2019	25	AAA MLE	Sacramento River Cats	—	310	288	65	13	1	15	14	104	6	0	0	226	276	434	710	208	285	34	5	301	90	—	—	—	—	—	—
2019	25	AA MLE	Richmond Flying Squirrels	—	182	167	41	8	2	6	12	41	2	2	2	246	304	425	729	180	283	23	7	311	97	—	—	—	—	—	—
2021	27	AAA MLE	Norfolk Tides	—	50	43	1	0	0	0	7	31	0	0	0	23	160	23	183		67	62	14	115	-36	—	—	—	—	—	—
2021	27	A+ MLE	Aberdeen IronBirds	—	24	22	2	1	0	1	2	9	0	0	0	91	167	273	439	182	120	38	8	190	15	—	—	—	—	—	—
2023	29	AA MLE	Birmingham Barons	—	225	200	25	5	0	8	23	108	2	1	0	125	222	270	492	145	207	48	10	223	37	—	—	—	—	—	—
2016	22	A+ MLE	2 teams	—	561	519	119	33	3	17	31	163	6	0	0	229	281	403	683	173	297	29	6	294	85	—	—	—	—	—	—
2016	22	A+ RAW	2 teams	—	561	502	134	38	4	21	48	125	6	0	0	267	338	484	822	217	313	22	9	358	85	—	—	—	—	—	—
2017	23	AAA MLE	3 teams	—	536	501	118	28	1	21	28	179	3	0	0	236	280	421	701	186	318	33	5	303	91	—	—	—	—	—	—
2017	23	AAA RAW	3 teams	—	536	488	140	35	1	24	41	134	3	0	0	287	346	510	856	223	347	25	8	373	91	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	484	454	96	20	1	19	22	196	7	1	0	211	259	385	644	174	321	40	5	277	73	—	—	—	—	—	—
2018	24	AAA RAW	2 teams	—	484	448	112	23	2	25	28	167	7	1	0	250	304	478	782	228	339	35	6	342	73	—	—	—	—	—	—
2019	25	AAA MLE	3 teams	—	512	473	106	21	2	21	28	153	8	2	2	224	279	410	689	186	281	30	5	297	87	—	—	—	—	—	—
2019	25	AAA RAW	3 teams	—	512	460	131	27	3	28	41	119	8	2	2	285	354	539	893	254	326	23	8	387	87	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	74	65	3	1	0	1	9	40	0	0	0	46	162	108	270	62	83	54	12	139	-20	—	—	—	—	—	—
2021	27	AAA RAW	2 teams	—	74	60	4	2	0	1	14	32	0	0	0	67	243	150	393	83	111	43	19	207	-20	—	—	—	—	—	—
2023	29	AA MLE	Birmingham Barons	—	225	200	25	5	0	8	23	108	2	1	0	125	222	270	492	145	202	48	10	223	37	—	—	—	—	—	—
2023	29	AA RAW	Birmingham Barons	—	225	188	37	7	0	12	35	83	2	1	0	197	329	426	754	229	269	37	16	338	37	—	—	—	—	—	—
2016	22	A+ MLE	2 teams	—	561	519	119	33	3	17	31	163	6	0	0	229	281	403	683	173	289	29	6	294	85	—	—	—	—	—	—
2017	23	AAA MLE	3 teams	—	536	500	118	28	1	21	28	179	3	0	0	236	280	422	702	186	317	33	5	303	91	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	484	452	96	20	1	19	22	196	7	1	0	212	259	387	646	175	321	40	5	277	73	—	—	—	—	—	—
2019	25	AAA MLE	3 teams	—	512	471	106	21	2	21	28	153	8	2	2	225	279	412	691	187	277	30	5	297	87	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	74	65	3	1	0	1	9	40	0	0	0	46	162	108	270	62	84	54	12	139	-20	—	—	—	—	—	—
2023	29	AA MLE	Birmingham Barons	—	225	198	25	5	0	8	23	108	2	1	0	126	222	273	495	146	207	48	10	223	37	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	82	72	11	2	0	1	9	31	0	1	0	153	247	222	469	69	244	38	11	222	77	-6	+0	-2	-14	+2	-2.1
/ 162G	—	A+C		—	650	571	87	16	0	8	71	246	0	8	0	152	246	222	469	70	243	38	11	222	77	-49	+2	-16	-114	+14	-16.7
Career	—	MLE		—	2392	2212	467	108	7	87	141	839	26	4	2	211	266	384	651	173	293	35	6	282	77	-6	+0	-2	-14	+2	-2.1
/ 162G	—	MLE		—	650	601	127	29	2	24	38	228	7	1	1	211	266	386	652	175	292	35	6	282	77	-49	+2	-16	-114	+14	-16.7

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 AABirmingham Barons · 225 PAwOBA .330 → .223 (−107)K% 36.9% → 48.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.89%	÷0.938	×1.220	—	—	48.00%
BB% (unintentional) /PA	15.56%	÷0.995	×0.680	—	×0.948	10.08%
HBP% /PA	0.89%	—	×0.840	—	×0.948	0.71%
Singles /BIP	17.14%	÷1.069	×0.920	×0.950	×0.948	13.29%
Doubles /BIP	6.67%	÷0.961	×0.910	×0.950	×0.948	5.68%
Triples /BIP	0.00%	÷0.967	×0.880	×0.950	×0.948	0.00%
Home runs /BIP	11.43%	÷1.013	×0.800	—	×0.948	8.56%

Factors used: league row SL. Park (home-season share, regressed): HR 103, 1B 114, 2B 92, 3B 93, K 88, BB 99 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .330 → .223; ISO .229 → .155; BABIP .269 → .207. 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 AAANorfolk Tides · 50 PAwOBA .169 → .115 (−54)K% 50.0% → 61.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	50.00%	÷0.982	×1.200	—	—	61.11%
BB% (unintentional) /PA	22.00%	÷1.030	×0.690	—	×0.992	14.61%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	7.14%	÷0.981	×0.930	—	×0.992	6.72%
Doubles /BIP	0.00%	÷0.977	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.009	×0.700	—	×0.992	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 96, 2B 95, 3B 130, K 96, BB 106 — 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 .169 → .115; ISO .000 → .000; BABIP .071 → .067. 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 A+Aberdeen IronBirds · 24 PAwOBA .274 → .190 (−84)K% 29.2% → 39.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.17%	÷1.002	×1.350	—	—	39.32%
BB% (unintentional) /PA	12.50%	÷0.974	×0.710	—	×0.948	8.64%
HBP% /PA	0.00%	—	×0.810	—	×0.948	0.00%
Singles /BIP	0.00%	÷1.026	×0.910	—	×0.948	0.00%
Doubles /BIP	14.29%	÷0.989	×0.830	—	×0.948	11.36%
Triples /BIP	0.00%	÷1.150	×0.820	—	×0.948	0.00%
Home runs /BIP	7.14%	÷1.041	×0.830	—	×0.948	5.40%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 105, 2B 98, 3B 130, K 100, BB 95 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .274 → .190; ISO .238 → .164; BABIP .154 → .120. 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 AAASacramento River Cats · 310 PAwOBA .398 → .301 (−97)K% 25.2% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.16%	÷0.971	×1.290	—	—	33.41%
BB% (unintentional) /PA	6.13%	÷0.980	×0.710	—	×1.018	4.52%
HBP% /PA	1.94%	—	×0.980	—	×1.018	1.93%
Singles /BIP	21.57%	÷0.982	×0.900	×0.950	×1.018	19.11%
Doubles /BIP	8.82%	÷0.981	×0.810	×0.950	×1.018	7.05%
Triples /BIP	0.49%	÷1.008	×0.810	×0.950	×1.018	0.38%
Home runs /BIP	10.29%	÷1.027	×0.780	—	×1.018	7.96%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 96, 2B 96, 3B 102, K 94, BB 96 — 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 ×0.950.

Result: wOBA .398 → .301; ISO .294 → .209; BABIP .341 → .285. 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 AARichmond Flying Squirrels · 182 PAwOBA .372 → .311 (−60)K% 18.1% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.13%	÷0.975	×1.220	—	—	22.68%
BB% (unintentional) /PA	9.89%	÷1.011	×0.700	—	×0.988	6.76%
HBP% /PA	1.10%	—	×0.850	—	×0.988	0.92%
Singles /BIP	22.05%	÷1.020	×0.970	×0.950	×0.988	19.67%
Doubles /BIP	7.09%	÷0.916	×0.860	×0.950	×0.988	6.25%
Triples /BIP	1.57%	÷1.147	×0.950	×0.950	×0.988	1.22%
Home runs /BIP	5.51%	÷0.890	×0.780	—	×0.988	4.77%

Factors used: league row EL. Park (home-season share, regressed): HR 78, 1B 104, 2B 83, 3B 129, K 95, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .372 → .311; ISO .212 → .182; BABIP .322 → .283. 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 AAASacramento River Cats · 422 PAwOBA .344 → .279 (−65)K% 34.1% → 41.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.12%	÷1.071	×1.290	—	—	41.09%
BB% (unintentional) /PA	4.98%	÷1.043	×0.710	—	×1.033	3.50%
HBP% /PA	1.66%	—	×0.980	—	×1.033	1.68%
Singles /BIP	22.00%	÷0.963	×0.900	×1.014	×1.033	21.53%
Doubles /BIP	8.40%	÷0.910	×0.810	×1.014	×1.033	7.83%
Triples /BIP	0.80%	÷1.150	×0.810	×1.014	×1.033	0.59%
Home runs /BIP	9.60%	÷0.998	×0.780	—	×1.033	7.75%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — 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 ×1.014.

Result: wOBA .344 → .279; ISO .246 → .186; BABIP .345 → .325. 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 AAASacramento River Cats · 360 PAwOBA .364 → .290 (−74)K% 29.4% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.44%	÷0.989	×1.290	—	—	38.40%
BB% (unintentional) /PA	5.56%	÷0.952	×0.710	—	×1.048	4.34%
HBP% /PA	0.28%	—	×0.980	—	×1.048	0.29%
Singles /BIP	23.04%	÷1.027	×0.900	×0.983	×1.048	20.80%
Doubles /BIP	10.87%	÷0.975	×0.810	×0.983	×1.048	9.30%
Triples /BIP	0.43%	÷0.920	×0.810	×0.983	×1.048	0.39%
Home runs /BIP	7.83%	÷0.889	×0.780	—	×1.048	7.20%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — 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 ×0.983.

Result: wOBA .364 → .290; ISO .241 → .193; BABIP .367 → .324. 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 AARichmond Flying Squirrels · 154 PAwOBA .385 → .333 (−51)K% 16.9% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷0.948	×1.220	—	—	21.73%
BB% (unintentional) /PA	10.39%	÷0.974	×0.700	—	×1.012	7.55%
HBP% /PA	1.30%	—	×0.850	—	×1.012	1.12%
Singles /BIP	22.43%	÷1.004	×0.970	×0.976	×1.012	21.39%
Doubles /BIP	9.35%	÷1.096	×0.860	×0.976	×1.012	7.25%
Triples /BIP	0.00%	÷0.900	×0.950	×0.976	×1.012	0.00%
Home runs /BIP	5.61%	÷0.848	×0.780	—	×1.012	5.22%

Factors used: league row EL. Park (home-season share, regressed): HR 70, 1B 101, 2B 119, 3B 80, K 90, BB 95 — 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 ×0.976.

Result: wOBA .385 → .333; ISO .211 → .185; BABIP .333 → .299. 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).