Ryon Healy

Pos1B

B/TR/R

Born1992-01-10

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2018	26	MLBSEA	524	.235/.278/.412	24	0	94	-1.2
2019	27	MLBSEA	187	.237/.295/.456	7	0	107	0.2
2021	29	INTLAguilas de Me…	73	.262/.333/.400	2	0	107	—
2022	30	No MLB games played
2023	31	No MLB games played
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -1.0

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

xwOBA58

Barrel%45

Avg EV45

Speed17

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)
2013	21	ROK	AZL Athletics	—	33	28	6	0	1	2	3	4	0	0	0	214	290	500	790	286	167	12	9	321	60	—	—	—	—	—	—
2014	22	A+	Stockton Ports	—	600	561	160	28	2	16	28	79	3	0	0	285	323	428	750	143	304	13	5	329	74	—	—	—	—	—	—
2015	23	AA	Midland RockHounds	—	543	507	153	31	1	10	30	82	1	0	1	302	342	426	768	124	341	15	6	339	76	—	—	—	—	—	—
2016	24	MLB	Oakland Athletics	—	283	269	82	20	0	13	12	60	1	0	0	305	337	524	861	219	352	21	4	375	143	+15	+0	+2	+2	+6	2.5
2016	24	AAA	Nashville Sounds	—	210	192	61	16	1	6	13	40	2	0	1	318	367	505	872	188	369	19	6	379	103	—	—	—	—	—	—
2016	24	AA	Midland RockHounds	—	164	145	49	12	3	8	18	35	0	1	0	338	411	628	1.039	290	398	21	11	445	113	—	—	—	—	—	—
2017	25	MLB	Oakland Athletics	—	605	576	156	29	0	25	23	142	4	0	1	271	303	451	755	181	319	23	4	331	115	+11	-0	-10	-11	+13	0.3
2018	26	MLB	Seattle Mariners	—	524	493	116	15	0	24	27	113	2	0	0	235	278	412	690	176	257	22	5	304	94	-4	+0	-10	-10	+11	-1.2
2018	26	AA	Arkansas Travelers	—	18	15	5	0	0	1	3	0	0	0	0	333	444	533	978	200	286	0	17	433	132	—	—	—	—	—	—
2019	27	MLB	Seattle Mariners	—	187	169	40	16	0	7	13	40	1	0	0	237	295	456	751	219	262	21	7	322	107	+2	+0	-4	+1	+4	0.2
2021	29	INTL	Aguilas de Mexicali	—	73	65	17	3	0	2	6	18	1	0	1	262	333	400	733	138	326	25	8	326	107	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1599	1507	394	80	0	69	75	355	8	0	1	261	300	452	752	190	298	22	5	329	109	+17	-0	-22	-17	+35	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	21	ROK MLE	AZL Athletics	—	33	30	6	0	1	2	1	6	0	0	0	200	226	467	692	267	129	18	3	257	60	—	—	—	—	—	—
2014	22	A+ MLE	Stockton Ports	—	600	570	143	22	2	13	19	106	3	0	0	251	279	365	644	114	277	18	3	278	74	—	—	—	—	—	—
2015	23	AA MLE	Midland RockHounds	—	543	517	135	23	1	8	20	108	1	0	1	261	290	356	646	95	309	20	4	280	76	—	—	—	—	—	—
2016	24	MLB MLE	Oakland Athletics	—	283	270	82	19	0	14	11	60	1	0	0	304	333	530	863	226	352	21	4	380	143	+15	+0	+2	+2	+6	2.5
2016	24	AAA MLE	Nashville Sounds	—	210	196	53	14	1	6	9	51	2	0	1	270	309	444	753	173	324	24	4	320	103	—	—	—	—	—	—
2016	24	AA MLE	Midland RockHounds	—	164	151	39	9	2	6	12	46	0	1	0	258	313	464	776	205	329	28	7	335	113	—	—	—	—	—	—
2017	25	MLB MLE	Oakland Athletics	—	605	576	158	28	0	27	23	142	4	0	1	274	307	464	770	189	319	23	4	339	115	+11	-0	-10	-11	+13	0.3
2018	26	MLB MLE	Seattle Mariners	—	524	493	117	15	0	25	27	113	2	0	0	237	280	420	700	183	257	22	5	308	94	-4	+0	-10	-10	+11	-1.2
2018	26	AA MLE	Arkansas Travelers	—	18	16	5	0	0	1	2	0	0	0	0	312	389	500	889	188	253	0	11	363	132	—	—	—	—	—	—
2019	27	MLB MLE	Seattle Mariners	—	187	169	40	16	0	7	13	40	1	0	0	237	295	456	751	219	262	21	7	327	107	+2	+0	-4	+1	+4	0.2
2013	21	ROK MLE	AZL Athletics	—	33	30	6	0	1	2	1	6	0	0	0	200	226	467	692	267	167	18	3	257	60	—	—	—	—	—	—
2013	21	ROK RAW	AZL Athletics	—	33	28	6	0	1	2	3	4	0	0	0	214	290	500	790	286	167	12	9	321	60	—	—	—	—	—	—
2014	22	A+ MLE	Stockton Ports	—	600	570	143	22	2	13	19	106	3	0	0	251	279	365	644	114	283	18	3	278	74	—	—	—	—	—	—
2014	22	A+ RAW	Stockton Ports	—	600	561	160	28	2	16	28	79	3	0	0	285	323	428	750	143	304	13	5	329	74	—	—	—	—	—	—
2015	23	AA MLE	Midland RockHounds	—	543	517	135	23	1	8	20	108	1	0	1	261	290	356	646	95	314	20	4	280	76	—	—	—	—	—	—
2015	23	AA RAW	Midland RockHounds	—	543	507	153	31	1	10	30	82	1	0	1	302	342	426	768	124	341	15	6	339	76	—	—	—	—	—	—
2016	24	MLB MLE	3 teams	—	657	617	174	42	3	26	32	158	3	1	1	282	321	486	807	204	339	24	5	350	123	+18	-0	+2	+2	+14	3.7
2016	24	MLB RAW	3 teams	—	657	606	192	48	4	27	43	135	3	1	1	317	365	543	908	226	368	21	7	394	123	+18	-0	+2	+2	+14	3.7
2017	25	MLB MLE	Oakland Athletics	—	605	576	158	28	0	27	23	142	4	0	1	274	307	464	770	189	320	23	4	339	115	+11	-0	-10	-11	+13	0.3
2017	25	MLB RAW	Oakland Athletics	—	605	576	156	29	0	25	23	142	4	0	1	271	303	451	755	181	319	23	4	331	115	+11	-0	-10	-11	+13	0.3
2018	26	MLB MLE	2 teams	—	542	509	122	15	0	26	29	113	2	0	0	240	283	422	706	183	258	21	5	309	96	-3	+0	-10	-10	+12	-1.1
2018	26	MLB RAW	2 teams	—	542	508	121	15	0	25	30	113	2	0	0	238	283	415	699	177	258	21	6	308	96	-3	+0	-10	-10	+12	-1.1
2019	27	MLB MLE	Seattle Mariners	—	187	169	40	16	0	7	13	40	1	0	0	237	295	456	751	219	262	21	7	327	107	+2	+0	-4	+1	+4	0.2
2019	27	MLB RAW	Seattle Mariners	—	187	169	40	16	0	7	13	40	1	0	0	237	295	456	751	219	262	21	7	322	107	+2	+0	-4	+1	+4	0.2
2021	29	INTL MLE	Aguilas de Mexicali	—	73	65	17	3	0	2	6	18	1	0	1	262	333	400	733	138	326	25	8	—	—	—	—	—	—	—	—
2021	29	INTL RAW	Aguilas de Mexicali	—	73	65	17	3	0	2	6	18	1	0	1	262	333	400	733	138	326	25	8	326	107	—	—	—	—	—	—
2013	21	ROK MLE	AZL Athletics	—	33	32	6	0	1	2	1	6	0	0	0	188	226	438	663	250	129	18	3	257	60	—	—	—	—	—	—
2014	22	A+ MLE	Stockton Ports	—	600	573	143	22	2	13	19	106	3	0	0	250	279	363	642	113	277	18	3	278	74	—	—	—	—	—	—
2015	23	AA MLE	Midland RockHounds	—	543	517	135	23	1	8	20	108	1	0	1	261	290	356	646	95	309	20	4	280	76	—	—	—	—	—	—
2016	24	MLB MLE	3 teams	—	657	617	174	42	3	26	32	158	3	1	1	282	321	486	807	204	337	24	5	350	123	—	—	—	—	—	—
2017	25	MLB MLE	Oakland Athletics	—	605	573	158	28	0	27	23	142	4	0	1	276	307	466	773	190	319	23	4	339	115	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	542	506	122	15	0	26	29	113	2	0	0	241	283	425	708	184	257	21	5	309	96	—	—	—	—	—	—
2019	27	MLB MLE	Seattle Mariners	—	187	171	40	16	0	7	13	40	1	0	0	234	295	450	745	216	262	21	7	327	107	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1599	1507	394	80	0	69	75	355	8	0	1	261	300	452	752	190	298	22	5	329	93	+17	-0	-22	-17	+35	1.2
/ 162G	—	A+C		—	650	613	161	33	0	28	30	144	3	0	0	263	300	454	753	191	300	22	5	329	93	+7	-0	-9	-7	+14	0.5
Career	—	MLE		—	3240	3053	795	149	7	111	143	691	15	1	4	260	297	423	720	162	300	21	4	306	93	+17	-0	-22	-17	+35	1.2
/ 162G	—	MLE		—	650	612	159	30	1	22	29	139	3	0	1	260	296	420	716	160	300	21	4	306	93	+7	-0	-9	-7	+14	0.5

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.

2018 AAArkansas Travelers · 18 PAwOBA .422 → .363 (−59)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.022	×1.220	—	—	0.00%
BB% (unintentional) /PA	16.67%	÷1.097	×0.700	—	×0.988	10.51%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	26.67%	÷1.015	×0.920	—	×0.988	23.87%
Doubles /BIP	0.00%	÷0.920	×0.840	—	×0.988	0.00%
Triples /BIP	0.00%	÷0.925	×0.940	—	×0.988	0.00%
Home runs /BIP	6.67%	÷0.925	×0.800	—	×0.988	5.70%

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 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .422 → .363; ISO .200 → .184; BABIP .286 → .253. 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 AAANashville Sounds · 210 PAwOBA .372 → .320 (−52)K% 19.0% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷1.004	×1.290	—	—	24.47%
BB% (unintentional) /PA	5.71%	÷0.979	×0.710	—	×1.048	4.34%
HBP% /PA	0.95%	—	×0.980	—	×1.048	0.98%
Singles /BIP	25.00%	÷1.035	×0.900	×0.957	×1.048	21.81%
Doubles /BIP	10.53%	÷0.898	×0.810	×0.957	×1.048	9.52%
Triples /BIP	0.66%	÷1.015	×0.810	×0.957	×1.048	0.53%
Home runs /BIP	3.95%	÷0.856	×0.780	—	×1.048	3.77%

Factors used: league row PCL. Park (home-season share, regressed): HR 71, 1B 107, 2B 80, 3B 103, K 101, BB 96 — 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 ×0.957.

Result: wOBA .372 → .320; ISO .188 → .168; BABIP .369 → .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).

2016 AAMidland RockHounds · 164 PAwOBA .435 → .335 (−100)K% 21.3% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.34%	÷0.920	×1.220	—	—	28.31%
BB% (unintentional) /PA	10.98%	÷1.062	×0.700	—	×1.012	7.32%
HBP% /PA	0.00%	—	×0.870	—	×1.012	0.00%
Singles /BIP	23.64%	÷1.022	×0.920	×0.966	×1.012	20.80%
Doubles /BIP	10.91%	÷1.075	×0.840	×0.966	×1.012	8.34%
Triples /BIP	2.73%	÷1.150	×0.940	×0.966	×1.012	2.18%
Home runs /BIP	7.27%	÷0.999	×0.800	—	×1.012	5.89%

Factors used: league row TL. Park (home-season share, regressed): HR 100, 1B 104, 2B 115, 3B 130, K 84, BB 112 — 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 ×0.966.

Result: wOBA .435 → .335; ISO .290 → .221; BABIP .398 → .329. 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).

2015 AAMidland RockHounds · 543 PAwOBA .333 → .280 (−52)K% 15.1% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.10%	÷0.928	×1.220	—	—	19.86%
BB% (unintentional) /PA	5.52%	÷1.106	×0.700	—	×1.027	3.59%
HBP% /PA	0.18%	—	×0.870	—	×1.027	0.16%
Singles /BIP	26.12%	÷0.990	×0.920	×0.996	×1.027	24.84%
Doubles /BIP	7.29%	÷1.125	×0.840	×0.996	×1.027	5.57%
Triples /BIP	0.24%	÷1.150	×0.940	×0.996	×1.027	0.20%
Home runs /BIP	2.35%	÷0.982	×0.800	—	×1.027	1.97%

Factors used: league row TL. Park (home-season share, regressed): HR 96, 1B 98, 2B 125, 3B 130, K 86, BB 121 — 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 ×0.996.

Result: wOBA .333 → .280; ISO .124 → .097; BABIP .341 → .309. 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).

2014 A+Stockton Ports · 600 PAwOBA .323 → .278 (−46)K% 13.2% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.17%	÷0.997	×1.340	—	—	17.70%
BB% (unintentional) /PA	4.50%	÷1.020	×0.710	—	×1.012	3.17%
HBP% /PA	0.50%	—	×0.790	—	×1.012	0.40%
Singles /BIP	23.65%	÷0.992	×0.910	×1.017	×1.012	22.34%
Doubles /BIP	5.81%	÷1.044	×0.820	×1.017	×1.012	4.70%
Triples /BIP	0.41%	÷1.011	×0.760	×1.017	×1.012	0.32%
Home runs /BIP	3.32%	÷1.112	×0.920	—	×1.012	2.78%

Factors used: league row CAL. Park (home-season share, regressed): HR 122, 1B 98, 2B 109, 3B 102, K 99, BB 104 — 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 ×1.017.

Result: wOBA .323 → .278; ISO .143 → .115; BABIP .304 → .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 ROKAZL Athletics · 33 PAwOBA .320 → .257 (−63)K% 12.1% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.12%	÷1.000	×1.440	—	—	17.45%
BB% (unintentional) /PA	6.06%	÷1.000	×0.620	—	×0.985	3.70%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	12.50%	÷1.000	×0.820	—	×0.985	10.10%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Triples /BIP	4.17%	÷1.000	×0.720	—	×0.985	2.96%
Home runs /BIP	8.33%	÷1.000	×0.780	—	×0.985	6.40%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .320 → .257; ISO .286 → .233; BABIP .167 → .129. 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 — .