Kyle Seager

Pos3B

B/TL/R

Born1987-11-03

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	31	AAASEA	42	.256/.310/.308	0	0	33	—	.200/.238/.225
2019	31	MLBSEA	443	.239/.322/.468	23	2	124	2.7
2020	32	MLBSEA	248	.241/.364/.433	9	5	120	1.6
2021	33	MLBSEA	670	.212/.287/.438	35	3	103	2.5
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR 6.8

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

xwOBA76

Barrel%66

Avg EV51

Speed13

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)
2009	21	A	Clinton LumberKings	—	178	153	42	8	0	1	22	20	0	4	2	275	366	346	712	72	304	11	12	323	72	—	—	—	—	—	—
2010	22	A+	High Desert Mavericks	—	643	557	192	40	3	14	71	94	5	13	12	345	423	503	926	158	390	15	11	405	107	—	—	—	—	—	—
2011	23	MLB	Seattle Mariners	—	201	182	47	13	0	3	13	36	2	3	1	258	315	379	694	121	303	18	6	306	95	-1	+0	-0	+2	+4	0.5
2011	23	AAA	Tacoma Rainiers	—	117	106	41	8	2	3	11	12	0	3	1	387	444	585	1.029	198	418	10	9	451	156	—	—	—	—	—	—
2011	23	AA	Jackson Generals	—	299	266	83	25	1	4	26	38	5	8	5	312	384	459	842	147	350	13	9	374	105	—	—	—	—	—	—
2012	24	MLB	Seattle Mariners	—	651	594	154	35	1	20	46	110	5	13	5	259	318	423	740	163	286	17	7	327	109	+7	+1	+8	+2	+14	3.2
2013	25	MLB	Seattle Mariners	—	695	615	160	32	2	22	68	122	7	9	3	260	341	426	767	166	290	18	10	341	118	+15	+1	+1	+2	+15	3.5
2014	26	MLB	Seattle Mariners	—	654	590	158	27	4	25	52	118	8	7	5	268	335	454	790	186	296	18	8	348	122	+17	-1	+11	+2	+14	4.5
2015	27	MLB	Seattle Mariners	—	686	623	166	37	0	26	54	98	5	6	6	266	330	451	781	185	278	14	8	344	118	+14	-1	+4	+2	+15	3.5
2016	28	MLB	Seattle Mariners	—	676	597	166	36	3	30	69	108	8	3	1	278	361	499	860	221	295	16	10	378	138	+30	+0	+9	+2	+15	5.8
2017	29	MLB	Seattle Mariners	—	650	578	144	33	1	27	58	110	8	2	1	249	326	450	776	201	262	17	9	341	115	+12	+0	+9	+2	+14	3.8
2018	30	MLB	Seattle Mariners	—	630	583	129	36	1	22	38	138	5	2	2	221	275	400	674	178	251	22	6	297	87	-9	-0	-2	+2	+14	0.4
2019	31	MLB	Seattle Mariners	—	443	393	94	19	1	23	44	86	4	2	2	239	322	468	790	229	248	19	10	347	124	+13	-0	+3	+2	+10	2.7
2019	31	AAA	Tacoma Rainiers	—	42	39	10	2	0	0	3	7	0	0	0	256	310	308	617	51	312	17	7	283	33	—	—	—	—	—	—
2020	32	MLB	Seattle Mariners	—	248	203	49	12	0	9	32	33	7	5	0	241	364	433	797	192	240	13	13	351	120	+6	+1	+3	+1	+5	1.6
2021	33	MLB	Seattle Mariners	—	670	603	128	29	1	35	59	161	4	3	1	212	287	438	725	226	226	24	9	318	103	+2	+0	+5	+2	+15	2.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6204	5561	1395	309	14	242	533	1120	63	55	27	251	323	442	765	191	272	18	9	337	114	+106	+0	+50	+24	+134	32.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	21	A MLE	Clinton LumberKings	—	178	161	39	7	0	1	14	27	0	4	2	242	303	304	607	62	276	15	8	274	72	—	—	—	—	—	—
2010	22	A+ MLE	High Desert Mavericks	—	643	583	168	33	2	11	45	129	5	13	12	288	344	408	753	120	339	20	7	326	107	—	—	—	—	—	—
2011	23	MLB MLE	Seattle Mariners	—	201	182	47	13	0	3	13	36	2	3	1	258	315	379	694	121	303	18	6	309	95	-1	+0	-0	+2	+4	0.5
2011	23	AAA MLE	Tacoma Rainiers	—	117	109	39	8	2	2	8	16	0	3	1	358	402	523	925	165	403	14	7	399	156	—	—	—	—	—	—
2011	23	AA MLE	Jackson Generals	—	299	276	79	23	1	3	16	45	5	8	5	286	337	409	746	123	326	15	5	324	105	—	—	—	—	—	—
2012	24	MLB MLE	Seattle Mariners	—	651	595	156	36	1	21	45	110	5	13	5	262	319	432	751	170	286	17	7	329	109	+7	+1	+8	+2	+14	3.2
2013	25	MLB MLE	Seattle Mariners	—	695	616	163	33	2	23	67	122	7	9	3	265	343	437	780	172	290	18	10	343	118	+15	+1	+1	+2	+15	3.5
2014	26	MLB MLE	Seattle Mariners	—	654	593	160	27	4	26	49	118	8	7	5	270	334	460	794	191	296	18	7	349	122	+17	-1	+11	+2	+14	4.5
2015	27	MLB MLE	Seattle Mariners	—	686	629	169	38	0	27	48	98	5	6	6	269	326	458	783	189	278	14	7	342	118	+14	-1	+4	+2	+15	3.5
2016	28	MLB MLE	Seattle Mariners	—	676	607	168	37	3	31	59	108	8	3	1	277	349	501	849	224	295	16	9	372	138	+30	+0	+9	+2	+15	5.8
2017	29	MLB MLE	Seattle Mariners	—	650	584	146	34	1	28	52	110	8	2	1	250	320	455	775	205	262	17	8	338	115	+12	+0	+9	+2	+14	3.8
2018	30	MLB MLE	Seattle Mariners	—	630	586	131	37	1	23	35	138	5	2	2	224	273	408	681	184	251	22	6	297	87	-9	-0	-2	+2	+14	0.4
2019	31	MLB MLE	Seattle Mariners	—	443	393	95	19	1	24	44	86	4	2	2	242	324	478	803	237	248	19	10	351	124	+13	-0	+3	+2	+10	2.7
2019	31	AAA MLE	Tacoma Rainiers	—	42	40	8	1	0	0	2	9	0	0	0	200	238	225	463	25	266	21	5	217	33	—	—	—	—	—	—
2020	32	MLB MLE	Seattle Mariners	—	248	206	49	12	0	9	29	33	7	5	0	238	351	427	778	189	240	13	12	346	120	+6	+1	+3	+1	+5	1.6
2021	33	MLB MLE	Seattle Mariners	—	670	605	129	29	1	36	57	161	4	3	1	213	285	443	728	230	226	24	9	320	103	+2	+0	+5	+2	+15	2.5
2009	21	A MLE	Clinton LumberKings	—	178	161	39	7	0	1	14	27	0	4	2	242	303	304	607	62	279	15	8	274	72	—	—	—	—	—	—
2009	21	A RAW	Clinton LumberKings	—	178	153	42	8	0	1	22	20	0	4	2	275	366	346	712	72	304	11	12	323	72	—	—	—	—	—	—
2010	22	A+ MLE	High Desert Mavericks	—	643	583	168	33	2	11	45	129	5	13	12	288	344	408	753	120	349	20	7	326	107	—	—	—	—	—	—
2010	22	A+ RAW	High Desert Mavericks	—	643	557	192	40	3	14	71	94	5	13	12	345	423	503	926	158	390	15	11	405	107	—	—	—	—	—	—
2011	23	AA MLE	3 teams	—	617	566	165	44	3	8	38	97	7	14	7	292	344	422	766	131	338	16	6	333	112	—	—	—	—	—	—
2011	23	AA RAW	3 teams	—	617	554	171	46	3	10	50	86	7	14	7	309	373	457	830	148	348	14	8	366	112	—	—	—	—	—	—
2012	24	MLB MLE	Seattle Mariners	—	651	595	156	36	1	21	45	110	5	13	5	262	319	432	751	170	288	17	7	329	109	+7	+1	+8	+2	+14	3.2
2012	24	MLB RAW	Seattle Mariners	—	651	594	154	35	1	20	46	110	5	13	5	259	318	423	740	163	286	17	7	327	109	+7	+1	+8	+2	+14	3.2
2013	25	MLB MLE	Seattle Mariners	—	695	616	163	33	2	23	67	122	7	9	3	265	343	437	780	172	294	18	10	343	118	+15	+1	+1	+2	+15	3.5
2013	25	MLB RAW	Seattle Mariners	—	695	615	160	32	2	22	68	122	7	9	3	260	341	426	767	166	290	18	10	341	118	+15	+1	+1	+2	+15	3.5
2014	26	MLB MLE	Seattle Mariners	—	654	593	160	27	4	26	49	118	8	7	5	270	334	460	794	191	296	18	7	349	122	+17	-1	+11	+2	+14	4.5
2014	26	MLB RAW	Seattle Mariners	—	654	590	158	27	4	25	52	118	8	7	5	268	335	454	790	186	296	18	8	348	122	+17	-1	+11	+2	+14	4.5
2015	27	MLB MLE	Seattle Mariners	—	686	629	169	38	0	27	48	98	5	6	6	269	326	458	783	189	280	14	7	342	118	+14	-1	+4	+2	+15	3.5
2015	27	MLB RAW	Seattle Mariners	—	686	623	166	37	0	26	54	98	5	6	6	266	330	451	781	185	278	14	8	344	118	+14	-1	+4	+2	+15	3.5
2016	28	MLB MLE	Seattle Mariners	—	676	607	168	37	3	31	59	108	8	3	1	277	349	501	849	224	291	16	9	372	138	+30	+0	+9	+2	+15	5.8
2016	28	MLB RAW	Seattle Mariners	—	676	597	166	36	3	30	69	108	8	3	1	278	361	499	860	221	295	16	10	378	138	+30	+0	+9	+2	+15	5.8
2017	29	MLB MLE	Seattle Mariners	—	650	584	146	34	1	28	52	110	8	2	1	250	320	455	775	205	261	17	8	338	115	+12	+0	+9	+2	+14	3.8
2017	29	MLB RAW	Seattle Mariners	—	650	578	144	33	1	27	58	110	8	2	1	249	326	450	776	201	262	17	9	341	115	+12	+0	+9	+2	+14	3.8
2018	30	MLB MLE	Seattle Mariners	—	630	586	131	37	1	23	35	138	5	2	2	224	273	408	681	184	252	22	6	297	87	-9	-0	-2	+2	+14	0.4
2018	30	MLB RAW	Seattle Mariners	—	630	583	129	36	1	22	38	138	5	2	2	221	275	400	674	178	251	22	6	297	87	-9	-0	-2	+2	+14	0.4
2019	31	MLB MLE	2 teams	—	485	433	104	21	1	24	46	95	4	2	2	240	319	460	778	219	253	20	9	340	116	+9	-0	+3	+2	+11	2.4
2019	31	MLB RAW	2 teams	—	485	432	104	21	1	23	47	93	4	2	2	241	321	454	775	213	255	19	10	341	116	+9	-0	+3	+2	+11	2.4
2020	32	MLB MLE	Seattle Mariners	—	248	206	49	12	0	9	29	33	7	5	0	238	351	427	778	189	235	13	12	346	120	+6	+1	+3	+1	+5	1.6
2020	32	MLB RAW	Seattle Mariners	—	248	203	49	12	0	9	32	33	7	5	0	241	364	433	797	192	240	13	13	351	120	+6	+1	+3	+1	+5	1.6
2021	33	MLB MLE	Seattle Mariners	—	670	605	129	29	1	36	57	161	4	3	1	213	285	443	728	230	226	24	9	320	103	+2	+0	+5	+2	+15	2.5
2021	33	MLB RAW	Seattle Mariners	—	670	603	128	29	1	35	59	161	4	3	1	212	287	438	725	226	226	24	9	318	103	+2	+0	+5	+2	+15	2.5
2009	21	A MLE	Clinton LumberKings	—	178	162	39	7	0	1	14	27	0	4	2	241	303	302	605	62	276	15	8	274	72	—	—	—	—	—	—
2010	22	A+ MLE	High Desert Mavericks	—	643	588	168	33	2	11	45	129	5	13	12	286	344	405	749	119	339	20	7	326	107	—	—	—	—	—	—
2011	23	AA MLE	3 teams	—	617	567	165	44	3	8	38	97	7	14	7	291	344	422	765	131	333	16	6	333	112	—	—	—	—	—	—
2012	24	MLB MLE	Seattle Mariners	—	651	596	156	36	1	21	45	110	5	13	5	262	319	431	751	169	286	17	7	329	109	—	—	—	—	—	—
2013	25	MLB MLE	Seattle Mariners	—	695	616	163	33	2	23	67	122	7	9	3	265	343	437	780	172	290	18	10	343	118	—	—	—	—	—	—
2014	26	MLB MLE	Seattle Mariners	—	654	592	160	27	4	26	49	118	8	7	5	270	334	461	795	191	296	18	7	349	122	—	—	—	—	—	—
2015	27	MLB MLE	Seattle Mariners	—	686	628	169	38	0	27	48	98	5	6	6	269	326	459	784	189	278	14	7	342	118	—	—	—	—	—	—
2016	28	MLB MLE	Seattle Mariners	—	676	604	168	37	3	31	59	108	8	3	1	278	349	503	852	225	295	16	9	372	138	—	—	—	—	—	—
2017	29	MLB MLE	Seattle Mariners	—	650	585	146	34	1	28	52	110	8	2	1	250	320	455	775	205	262	17	8	338	115	—	—	—	—	—	—
2018	30	MLB MLE	Seattle Mariners	—	630	585	131	37	1	23	35	138	5	2	2	224	273	409	682	185	251	22	6	297	87	—	—	—	—	—	—
2019	31	MLB MLE	2 teams	—	485	432	104	21	1	24	46	95	4	2	2	241	319	461	779	220	250	20	9	340	116	—	—	—	—	—	—
2020	32	MLB MLE	Seattle Mariners	—	248	210	49	12	0	9	29	33	7	5	0	233	351	419	770	186	240	13	12	346	120	—	—	—	—	—	—
2021	33	MLB MLE	Seattle Mariners	—	670	604	129	29	1	36	57	161	4	3	1	214	285	444	729	230	226	24	9	320	103	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6204	5561	1395	309	14	242	533	1120	63	55	27	251	323	442	765	191	272	18	9	337	112	+106	+0	+50	+24	+134	32.1
/ 162G	—	A+C		—	650	583	145	32	1	25	56	117	7	6	3	249	322	436	758	187	270	18	9	337	112	+11	+0	+5	+2	+14	3.4
Career	—	MLE		—	7483	6764	1747	388	19	268	584	1346	73	83	47	258	324	440	764	182	284	18	8	334	112	+106	+0	+50	+24	+134	32.1
/ 162G	—	MLE		—	650	588	152	34	2	23	51	117	6	7	4	259	325	440	765	182	285	18	8	334	112	+11	+0	+5	+2	+14	3.4

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 AAATacoma Rainiers · 42 PAwOBA .276 → .217 (−59)K% 16.7% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.990	×1.290	—	—	21.71%
BB% (unintentional) /PA	7.14%	÷1.039	×0.710	—	×0.952	4.64%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	25.00%	÷0.985	×0.900	—	×0.952	21.74%
Doubles /BIP	6.25%	÷0.998	×0.810	—	×0.952	4.83%
Triples /BIP	0.00%	÷1.073	×0.810	—	×0.952	0.00%
Home runs /BIP	0.00%	÷1.049	×0.780	—	×0.952	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 97, 2B 100, 3B 115, K 98, BB 108 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .276 → .217; ISO .051 → .038; BABIP .312 → .266. 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).

2011 AAJackson Generals · 299 PAwOBA .366 → .324 (−41)K% 12.7% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.71%	÷1.031	×1.220	—	—	15.04%
BB% (unintentional) /PA	8.36%	÷1.063	×0.680	—	×1.012	5.41%
HBP% /PA	1.67%	—	×0.840	—	×1.012	1.42%
Singles /BIP	23.25%	÷0.986	×0.920	×1.012	×1.012	22.21%
Doubles /BIP	10.96%	÷1.028	×0.910	×1.012	×1.012	9.94%
Triples /BIP	0.44%	÷1.150	×0.880	×1.012	×1.012	0.34%
Home runs /BIP	1.75%	÷1.130	×0.800	—	×1.012	1.26%

Factors used: league row SL. Park (home-season share, regressed): HR 126, 1B 97, 2B 106, 3B 130, K 106, BB 113 — 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 ×1.012.

Result: wOBA .366 → .324; ISO .147 → .126; BABIP .350 → .326. 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).

2011 AAATacoma Rainiers · 117 PAwOBA .439 → .399 (−40)K% 10.3% → 13.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.26%	÷0.990	×1.290	—	—	13.36%
BB% (unintentional) /PA	9.40%	÷0.976	×0.710	—	×1.048	7.17%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	29.79%	÷0.960	×0.900	×1.003	×1.048	29.38%
Doubles /BIP	8.51%	÷0.896	×0.810	×1.003	×1.048	8.09%
Triples /BIP	2.13%	÷0.993	×0.810	×1.003	×1.048	1.83%
Home runs /BIP	3.19%	÷1.004	×0.780	—	×1.048	2.60%

Factors used: league row PCL. Park (home-season share, regressed): HR 101, 1B 92, 2B 79, 3B 99, K 98, BB 95 — 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 ×1.003.

Result: wOBA .439 → .399; ISO .198 → .171; BABIP .418 → .403. 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).

2010 A+High Desert Mavericks · 643 PAwOBA .399 → .326 (−73)K% 14.6% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.62%	÷0.981	×1.340	—	—	19.98%
BB% (unintentional) /PA	11.04%	÷1.116	×0.710	—	×0.998	7.01%
HBP% /PA	0.78%	—	×0.790	—	×0.998	0.61%
Singles /BIP	29.16%	÷1.022	×0.910	×1.010	×0.998	26.17%
Doubles /BIP	8.64%	÷1.020	×0.820	×1.010	×0.998	7.00%
Triples /BIP	0.65%	÷1.090	×0.760	×1.010	×0.998	0.46%
Home runs /BIP	3.02%	÷1.164	×0.920	—	×0.998	2.39%

Factors used: league row CAL. Park (home-season share, regressed): HR 133, 1B 104, 2B 104, 3B 118, K 96, BB 123 — 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 ×1.010.

Result: wOBA .399 → .326; ISO .158 → .126; BABIP .390 → .339. 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).

2009 AClinton LumberKings · 178 PAwOBA .319 → .274 (−45)K% 11.2% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.24%	÷1.000	×1.360	—	—	15.28%
BB% (unintentional) /PA	11.80%	÷1.000	×0.690	—	—	8.14%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	24.81%	÷1.000	×0.920	×1.007	—	22.98%
Doubles /BIP	6.02%	÷1.000	×0.830	×1.007	—	5.03%
Triples /BIP	0.00%	÷1.000	×0.910	×1.007	—	0.00%
Home runs /BIP	0.75%	÷1.000	×0.800	—	—	0.60%

Factors used: level-wide A 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 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .319 → .274; ISO .072 → .061; BABIP .304 → .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).