Kyle Lewis

PosCF

B/TR/R

Born1995-07-13

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	MLBSEA	147	.246/.333/.392	5	2	110	0.6
2022	27	AAASEA	174	.245/.362/.517	12	0	76	—	.192/.276/.353
2022	27	MLBSEA	62	.143/.226/.304	3	0	52	-0.5
2023	28	AAAARI	293	.371/.462/.641	17	0	133	—	.300/.366/.487
2023	28	MLBARI	54	.157/.204/.255	1	0	25	-0.8
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 · percentileStatcast 2021-2023

Barrel%74

Avg EV57

xwOBA52

Bat Spd46

Speed16

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)
2017	22	A+	Modesto Nuts	—	167	149	38	4	0	6	15	38	1	2	1	255	327	403	730	148	299	23	9	324	73	—	—	—	—	—	—
2017	22	ROK	AZL Mariners	—	46	38	10	2	1	1	4	14	2	1	0	263	364	447	811	184	360	30	9	347	49	—	—	—	—	—	—
2018	23	AA	Arkansas Travelers	—	152	132	29	8	0	4	17	32	1	1	0	220	313	371	685	152	255	21	11	306	64	—	—	—	—	—	—
2018	23	A+	Modesto Nuts	—	211	196	51	18	0	5	11	55	2	0	0	260	306	429	735	168	333	26	5	322	59	—	—	—	—	—	—
2019	24	MLB	Seattle Mariners	—	75	71	19	5	0	6	3	29	0	0	0	268	297	592	889	324	351	39	4	377	145	+4	+0	+1	-6	+2	0.1
2019	24	AA	Arkansas Travelers	—	517	457	120	25	2	11	56	152	1	3	2	263	344	398	743	136	367	29	11	333	76	—	—	—	—	—	—
2020	25	MLB	Seattle Mariners	—	242	206	54	3	0	11	34	71	0	5	1	262	367	437	804	175	341	29	14	358	131	+9	+1	+3	+1	+5	1.9
2021	26	MLB	Seattle Mariners	—	147	130	32	4	0	5	16	37	1	2	0	246	333	392	726	146	307	25	11	328	110	+2	+0	-0	+1	+3	0.6
2022	27	MLB	Seattle Mariners	—	62	56	8	0	0	3	5	19	1	0	0	143	226	304	529	161	147	31	8	242	52	-4	+0	-0	-3	+1	-0.5
2022	27	AAA	Tacoma Rainiers	—	174	147	36	4	0	12	26	45	1	0	0	245	362	517	879	272	267	26	15	386	76	—	—	—	—	—	—
2023	28	MLB	Arizona Diamondbacks	—	54	51	8	2	0	1	3	21	0	0	0	157	204	255	459	98	241	39	6	209	25	-5	+0	-0	-4	+1	-0.8
2023	28	AAA	Reno Aces	—	293	248	92	16	0	17	39	58	3	0	0	371	462	641	1.103	270	426	20	13	473	133	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	580	514	121	14	0	26	61	177	2	7	1	235	319	414	733	179	303	31	11	327	107	+5	+1	+4	-11	+13	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2017	22	A+ MLE	Modesto Nuts	—	167	153	34	3	0	6	11	52	1	2	1	222	279	359	638	137	280	31	7	276	73	—	—	—	—	—	—
2017	22	ROK MLE	AZL Mariners	—	46	40	7	1	1	1	2	20	2	1	0	175	250	325	575	150	272	43	4	240	49	—	—	—	—	—	—
2018	23	AA MLE	Arkansas Travelers	—	152	138	28	8	0	4	11	38	1	1	0	203	267	348	614	145	240	25	7	263	64	—	—	—	—	—	—
2018	23	A+ MLE	Modesto Nuts	—	211	200	42	14	0	5	7	74	2	0	0	210	244	355	599	145	301	35	3	256	59	—	—	—	—	—	—
2019	24	MLB MLE	Seattle Mariners	—	75	71	19	5	0	6	3	29	0	0	0	268	297	592	889	324	351	39	4	383	145	+4	+0	+1	-6	+2	0.1
2019	24	AA MLE	Arkansas Travelers	—	517	474	108	22	2	11	39	180	1	3	2	228	288	352	640	124	334	35	8	280	76	—	—	—	—	—	—
2020	25	MLB MLE	Seattle Mariners	—	242	206	54	3	0	11	34	71	0	5	1	262	367	437	804	175	341	29	14	362	131	+9	+1	+3	+1	+5	1.9
2021	26	MLB MLE	Seattle Mariners	—	147	130	32	4	0	5	16	37	1	2	0	246	333	392	726	146	307	25	11	331	110	+2	+0	-0	+1	+3	0.6
2022	27	MLB MLE	Seattle Mariners	—	62	56	8	0	0	3	5	19	1	0	0	143	226	304	529	161	147	31	8	245	52	-4	+0	-0	-3	+1	-0.5
2022	27	AAA MLE	Tacoma Rainiers	—	174	156	30	4	0	7	17	53	1	0	0	192	276	353	628	160	236	30	10	280	76	—	—	—	—	—	—
2023	28	MLB MLE	Arizona Diamondbacks	—	54	51	8	2	0	1	3	21	0	0	0	157	204	255	459	98	241	39	6	205	25	-5	+0	-0	-4	+1	-0.8
2023	28	AAA MLE	Reno Aces	—	293	263	79	13	0	12	24	73	3	0	0	300	366	487	852	186	363	25	8	365	133	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	213	193	41	4	1	7	13	73	3	3	1	212	273	352	625	140	291	34	6	268	68	—	—	—	—	—	—
2017	22	A+ RAW	2 teams	—	213	187	48	6	1	7	19	52	3	3	1	257	335	412	747	155	311	24	9	329	68	—	—	—	—	—	—
2018	23	A+ MLE	2 teams	—	363	338	70	22	0	8	18	113	3	1	0	207	253	343	597	136	281	31	5	259	61	—	—	—	—	—	—
2018	23	A+ RAW	2 teams	—	363	328	80	26	0	9	28	87	3	1	0	244	309	405	715	162	301	24	8	316	61	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	592	545	127	27	2	17	42	209	1	3	2	233	289	383	673	150	341	35	7	293	84	—	—	—	—	—	—
2019	24	AA RAW	2 teams	—	592	528	139	30	2	17	59	181	1	3	2	263	338	424	763	161	365	31	10	339	84	—	—	—	—	—	—
2020	25	MLB MLE	Seattle Mariners	—	242	206	54	3	0	11	34	71	0	5	1	262	367	437	804	175	341	29	14	362	131	+9	+1	+3	+1	+5	1.9
2020	25	MLB RAW	Seattle Mariners	—	242	206	54	3	0	11	34	71	0	5	1	262	367	437	804	175	341	29	14	358	131	+9	+1	+3	+1	+5	1.9
2021	26	MLB MLE	Seattle Mariners	—	147	130	32	4	0	5	16	37	1	2	0	246	333	392	726	146	307	25	11	331	110	+2	+0	-0	+1	+3	0.6
2021	26	MLB RAW	Seattle Mariners	—	147	130	32	4	0	5	16	37	1	2	0	246	333	392	726	146	307	25	11	328	110	+2	+0	-0	+1	+3	0.6
2022	27	AAA MLE	2 teams	—	236	212	39	4	0	11	22	72	2	0	0	184	267	358	625	175	217	31	9	271	69	—	—	—	—	—	—
2022	27	AAA RAW	2 teams	—	236	203	44	4	0	15	31	64	2	0	0	217	326	458	784	241	234	27	13	348	69	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	347	314	86	14	0	13	27	94	3	0	0	274	337	443	780	169	348	27	8	340	116	—	—	—	—	—	—
2023	28	AAA RAW	2 teams	—	347	299	100	18	0	18	42	79	3	0	0	334	422	575	997	241	400	23	12	432	116	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	213	195	41	4	1	7	13	73	3	3	1	210	273	349	621	138	278	34	6	268	68	—	—	—	—	—	—
2018	23	A+ MLE	2 teams	—	363	339	70	22	0	8	18	113	3	1	0	206	253	342	596	136	275	31	5	259	61	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	592	544	127	27	2	17	42	209	1	3	2	233	289	384	673	151	336	35	7	293	84	—	—	—	—	—	—
2020	25	MLB MLE	Seattle Mariners	—	242	206	54	3	0	11	34	71	0	5	1	262	367	437	804	175	341	29	14	362	131	—	—	—	—	—	—
2021	26	MLB MLE	Seattle Mariners	—	147	129	32	4	0	5	16	37	1	2	0	248	333	395	729	147	307	25	11	331	110	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	236	210	39	4	0	11	22	72	2	0	0	186	267	362	629	176	213	31	9	271	69	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	347	314	86	14	0	13	27	94	3	0	0	274	337	443	780	169	344	27	8	340	116	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	580	514	121	14	0	26	61	177	2	7	1	235	319	414	733	179	303	31	11	327	89	+5	+1	+4	-11	+13	1.2
/ 162G	—	A+C		—	650	576	136	16	0	29	68	198	2	8	1	236	318	415	733	179	304	30	10	327	89	+6	+1	+5	-13	+14	1.3
Career	—	MLE		—	2140	1938	449	78	3	72	172	669	13	14	4	232	299	386	685	155	311	31	8	300	89	+5	+1	+4	-11	+13	1.2
/ 162G	—	MLE		—	650	589	137	24	1	22	52	203	4	4	1	233	299	389	688	156	312	31	8	300	89	+6	+1	+5	-13	+14	1.3

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 AAAReno Aces · 293 PAwOBA .465 → .365 (−100)K% 19.8% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.80%	÷0.951	×1.200	—	—	24.97%
BB% (unintentional) /PA	13.31%	÷1.096	×0.690	—	×0.992	8.31%
HBP% /PA	1.02%	—	×0.940	—	×0.992	0.95%
Singles /BIP	31.05%	÷1.026	×0.930	×1.006	×0.992	28.09%
Doubles /BIP	8.42%	÷1.059	×0.830	×1.006	×0.992	6.58%
Triples /BIP	0.00%	÷1.150	×0.970	×1.006	×0.992	0.00%
Home runs /BIP	8.95%	÷1.012	×0.700	—	×0.992	6.14%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 105, 2B 112, 3B 130, K 90, BB 119 — 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 ×1.006.

Result: wOBA .465 → .365; ISO .270 → .194; BABIP .426 → .363. 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 AAATacoma Rainiers · 174 PAwOBA .375 → .280 (−95)K% 25.9% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.86%	÷1.020	×1.200	—	—	30.44%
BB% (unintentional) /PA	14.94%	÷1.048	×0.690	—	×1.003	9.87%
HBP% /PA	0.57%	—	×0.940	—	×1.003	0.54%
Singles /BIP	19.61%	÷1.013	×0.930	×0.999	×1.003	18.04%
Doubles /BIP	3.92%	÷0.839	×0.830	×0.999	×1.003	3.89%
Triples /BIP	0.00%	÷0.902	×0.970	×0.999	×1.003	0.00%
Home runs /BIP	11.76%	÷1.144	×0.700	—	×1.003	7.22%

Factors used: league row International League. Park (home-season share, regressed): HR 129, 1B 103, 2B 68, 3B 80, K 104, BB 110 — 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 ×0.999.

Result: wOBA .375 → .280; ISO .272 → .179; BABIP .267 → .236. 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 AAArkansas Travelers · 517 PAwOBA .326 → .280 (−46)K% 29.4% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.40%	÷1.031	×1.220	—	—	34.78%
BB% (unintentional) /PA	10.64%	÷1.010	×0.700	—	×1.012	7.46%
HBP% /PA	0.19%	—	×0.870	—	×1.012	0.17%
Singles /BIP	26.89%	÷0.966	×0.920	×0.950	×1.012	24.61%
Doubles /BIP	8.20%	÷0.916	×0.840	×0.950	×1.012	7.22%
Triples /BIP	0.66%	÷0.922	×0.940	×0.950	×1.012	0.64%
Home runs /BIP	3.61%	÷0.784	×0.800	—	×1.012	3.72%

Factors used: league row TL. Park (home-season share, regressed): HR 57, 1B 93, 2B 83, 3B 84, K 106, BB 102 — 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 ×0.950.

Result: wOBA .326 → .280; ISO .136 → .128; BABIP .367 → .334. 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+Modesto Nuts · 211 PAwOBA .316 → .256 (−61)K% 26.1% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.07%	÷0.990	×1.340	—	—	35.29%
BB% (unintentional) /PA	5.21%	÷1.106	×0.710	—	×0.998	3.34%
HBP% /PA	0.95%	—	×0.790	—	×0.998	0.75%
Singles /BIP	19.86%	÷1.003	×0.910	×1.018	×0.998	18.29%
Doubles /BIP	12.77%	÷0.951	×0.820	×1.018	×0.998	11.18%
Triples /BIP	0.00%	÷1.150	×0.760	×1.018	×0.998	0.00%
Home runs /BIP	3.55%	÷0.925	×0.920	—	×0.998	3.52%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 101, 2B 90, 3B 130, K 98, BB 121 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .316 → .256; ISO .168 → .142; BABIP .333 → .301. 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 AAArkansas Travelers · 152 PAwOBA .303 → .263 (−39)K% 21.1% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.022	×1.220	—	—	25.13%
BB% (unintentional) /PA	11.18%	÷1.097	×0.700	—	×1.027	7.33%
HBP% /PA	0.66%	—	×0.870	—	×1.027	0.59%
Singles /BIP	17.00%	÷1.015	×0.920	×1.011	×1.027	15.99%
Doubles /BIP	8.00%	÷0.920	×0.840	×1.011	×1.027	7.58%
Triples /BIP	0.00%	÷0.925	×0.940	×1.011	×1.027	0.00%
Home runs /BIP	4.00%	÷0.925	×0.800	—	×1.027	3.55%

Factors used: league row TL. Park (home-season share, regressed): HR 85, 1B 103, 2B 84, 3B 85, K 104, BB 119 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .303 → .263; ISO .152 → .141; BABIP .255 → .240. 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 A+Modesto Nuts · 167 PAwOBA .319 → .276 (−44)K% 22.8% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.75%	÷0.972	×1.340	—	—	31.36%
BB% (unintentional) /PA	8.98%	÷0.995	×0.710	—	×1.012	6.49%
HBP% /PA	0.60%	—	×0.790	—	×1.012	0.48%
Singles /BIP	25.23%	÷1.008	×0.910	×1.043	×1.012	24.04%
Doubles /BIP	3.60%	÷1.082	×0.820	×1.043	×1.012	2.88%
Triples /BIP	0.00%	÷1.041	×0.760	×1.043	×1.012	0.00%
Home runs /BIP	5.41%	÷0.866	×0.920	—	×1.012	5.81%

Factors used: league row CAL. Park (home-season share, regressed): HR 73, 1B 102, 2B 116, 3B 108, K 94, BB 99 — 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 ×1.043.

Result: wOBA .319 → .276; ISO .148 → .140; BABIP .299 → .280. 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 ROKAZL Mariners · 46 PAwOBA .353 → .240 (−113)K% 30.4% → 43.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.43%	÷1.000	×1.440	—	—	43.83%
BB% (unintentional) /PA	8.70%	÷1.000	×0.620	—	×0.975	5.26%
HBP% /PA	4.35%	—	×0.720	—	×0.975	3.05%
Singles /BIP	25.00%	÷1.000	×0.820	—	×0.975	19.99%
Doubles /BIP	8.33%	÷1.000	×0.720	—	×0.975	5.85%
Triples /BIP	4.17%	÷1.000	×0.720	—	×0.975	2.92%
Home runs /BIP	4.17%	÷1.000	×0.780	—	×0.975	3.17%

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 .353 → .240; ISO .184 → .123; BABIP .360 → .272. 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).