Ryan Metzler

Pos2B

B/TR/R

Born1993-03-20

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	24	AA/A2 orgs	100	.228/.283/.261	0	2	28	—	.192/.233/.223
2018	25	AAA/AACOL	357	.240/.316/.371	8	14	52	—	.207/.264/.297
2019	26	AAA/AACOL	114	.186/.265/.245	1	2	9	—	.152/.212/.200

Contract

No contract data on file.

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	23	A	Lansing Lugnuts	—	212	184	30	7	3	1	20	78	4	10	2	163	260	250	510	87	271	37	9	236	-8	—	—	—	—	—	—
2017	24	AA	Hartford Yard Goats	—	48	44	11	1	0	0	3	15	0	1	2	250	298	273	571	23	367	31	6	259	41	—	—	—	—	—	—
2017	24	A	Asheville Tourists	—	52	48	10	0	1	0	3	9	1	1	0	208	269	250	519	42	256	17	6	242	16	—	—	—	—	—	—
2018	25	AAA	Albuquerque Isotopes	—	23	21	8	1	0	0	1	6	0	0	0	381	409	429	838	48	533	26	4	362	87	—	—	—	—	—	—
2018	25	AA	Hartford Yard Goats	—	334	292	67	16	0	8	31	86	3	14	4	229	310	366	676	137	292	26	9	299	50	—	—	—	—	—	—
2019	26	AAA	Albuquerque Isotopes	—	19	18	4	0	0	0	1	5	0	0	0	222	263	222	485		308	26	5	227	9	—	—	—	—	—	—
2019	26	AA	Hartford Yard Goats	—	95	84	15	3	0	1	9	31	1	2	3	179	266	250	516	71	264	33	9	241	9	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	23	A MLE	Lansing Lugnuts	—	212	190	19	4	2	1	14	112	4	10	2	100	178	158	336	58	225	53	7	157	-8	—	—	—	—	—	—
2017	24	AA MLE	Hartford Yard Goats	—	48	45	10	1	0	0	2	17	0	1	2	222	255	244	500	22	347	35	4	229	41	—	—	—	—	—	—
2017	24	A MLE	Asheville Tourists	—	52	49	8	0	1	0	2	12	1	1	0	163	212	204	416	41	225	23	4	192	16	—	—	—	—	—	—
2018	25	AAA MLE	Albuquerque Isotopes	—	23	21	7	1	0	0	1	8	0	0	0	333	364	381	745	48	478	35	4	297	87	—	—	—	—	—	—
2018	25	AA MLE	Hartford Yard Goats	—	334	302	60	13	0	5	21	102	3	14	4	199	258	291	549	93	264	31	6	242	50	—	—	—	—	—	—
2019	26	AAA MLE	Albuquerque Isotopes	—	19	18	3	0	0	0	1	7	0	0	0	167	211	167	377		290	37	5	181	9	—	—	—	—	—	—
2019	26	AA MLE	Hartford Yard Goats	—	95	87	13	2	0	1	6	38	1	2	3	149	213	207	420	57	232	40	6	182	9	—	—	—	—	—	—
2016	23	A MLE	Lansing Lugnuts	—	212	190	19	4	2	1	14	112	4	10	2	100	178	158	336	58	228	53	7	157	-8	—	—	—	—	—	—
2016	23	A RAW	Lansing Lugnuts	—	212	184	30	7	3	1	20	78	4	10	2	163	260	250	510	87	271	37	9	236	-8	—	—	—	—	—	—
2017	24	A MLE	2 teams	—	100	94	19	1	1	0	4	29	1	2	2	202	242	234	476	32	288	29	4	210	28	—	—	—	—	—	—
2017	24	A RAW	2 teams	—	100	92	21	1	1	0	6	24	1	2	2	228	283	261	544	33	304	24	6	250	28	—	—	—	—	—	—
2018	25	AA MLE	2 teams	—	357	324	67	14	0	5	21	109	3	14	4	207	261	296	558	90	290	31	6	246	52	—	—	—	—	—	—
2018	25	AA RAW	2 teams	—	357	313	75	17	0	8	32	92	3	14	4	240	316	371	687	131	309	26	9	303	52	—	—	—	—	—	—
2019	26	AA MLE	2 teams	—	114	105	16	2	0	1	7	44	1	2	3	152	212	200	412	48	246	39	6	182	9	—	—	—	—	—	—
2019	26	AA RAW	2 teams	—	114	102	19	3	0	1	10	36	1	2	3	186	265	245	511	59	273	32	9	239	9	—	—	—	—	—	—
2016	23	A MLE	Lansing Lugnuts	—	212	192	19	4	2	1	14	112	4	10	2	99	178	156	334	57	225	53	7	157	-8	—	—	—	—	—	—
2017	24	A MLE	2 teams	—	100	95	19	1	1	0	4	29	1	2	2	200	242	232	474	32	284	29	4	210	28	—	—	—	—	—	—
2018	25	AA MLE	2 teams	—	357	330	67	14	0	5	21	109	3	14	4	203	261	291	552	88	278	31	6	246	52	—	—	—	—	—	—
2019	26	AA MLE	2 teams	—	114	105	16	2	0	1	7	44	1	2	3	152	212	200	412	48	242	39	6	182	9	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	783	713	121	21	3	7	46	294	9	28	11	170	229	237	466	67	271	38	6	208	27	-68	+1	+0	+3	+17	-4.8
/ 162G	—	MLE		—	650	592	100	17	2	6	38	244	7	23	9	169	228	235	462	66	269	38	6	208	27	-57	+1	+0	+2	+14	-4.0

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 AAHartford Yard Goats · 95 PAwOBA .238 → .182 (−55)K% 32.6% → 39.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.63%	÷1.007	×1.220	—	—	39.54%
BB% (unintentional) /PA	9.47%	÷1.042	×0.700	—	×0.988	6.29%
HBP% /PA	1.05%	—	×0.850	—	×0.988	0.88%
Singles /BIP	20.75%	÷1.029	×0.970	—	×0.988	19.33%
Doubles /BIP	5.66%	÷1.178	×0.860	—	×0.988	4.08%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.988	0.00%
Home runs /BIP	1.89%	÷1.190	×0.780	—	×0.988	1.22%

Factors used: league row EL. Park (home-season share, regressed): HR 138, 1B 106, 2B 136, 3B 80, K 101, BB 108 — 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 .238 → .182; ISO .071 → .047; BABIP .264 → .232. 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 AAAAlbuquerque Isotopes · 19 PAwOBA .222 → .181 (−40)K% 26.3% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷0.957	×1.290	—	—	35.49%
BB% (unintentional) /PA	5.26%	÷0.974	×0.710	—	×1.018	3.91%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	30.77%	÷0.974	×0.900	—	×1.018	28.95%
Doubles /BIP	0.00%	÷1.071	×0.810	—	×1.018	0.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.136	×0.780	—	×1.018	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 127, 1B 95, 2B 114, 3B 130, K 91, BB 95 — 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).

Result: wOBA .222 → .181; ISO .000 → .000; BABIP .308 → .290. 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 AAHartford Yard Goats · 334 PAwOBA .295 → .242 (−53)K% 25.7% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.75%	÷1.035	×1.220	—	—	30.36%
BB% (unintentional) /PA	9.28%	÷1.051	×0.700	—	×0.998	6.17%
HBP% /PA	0.90%	—	×0.850	—	×0.998	0.76%
Singles /BIP	20.87%	÷1.011	×0.970	×1.003	×0.998	20.05%
Doubles /BIP	7.77%	÷1.081	×0.860	×1.003	×0.998	6.19%
Triples /BIP	0.00%	÷0.948	×0.950	×1.003	×0.998	0.00%
Home runs /BIP	3.88%	÷1.194	×0.780	—	×0.998	2.53%

Factors used: league row EL. Park (home-season share, regressed): HR 139, 1B 102, 2B 116, 3B 90, K 107, BB 110 — 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 ×1.003.

Result: wOBA .295 → .242; ISO .137 → .099; BABIP .292 → .264. 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 AAAAlbuquerque Isotopes · 23 PAwOBA .352 → .297 (−55)K% 26.1% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.09%	÷0.978	×1.290	—	—	34.43%
BB% (unintentional) /PA	4.35%	÷1.024	×0.710	—	×1.033	3.11%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	46.67%	÷1.034	×0.900	—	×1.033	41.97%
Doubles /BIP	6.67%	÷0.960	×0.810	—	×1.033	5.81%
Triples /BIP	0.00%	÷0.973	×0.810	—	×1.033	0.00%
Home runs /BIP	0.00%	÷1.162	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 107, 2B 92, 3B 95, K 96, BB 105 — 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).

Result: wOBA .352 → .297; ISO .048 → .040; BABIP .533 → .478. 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 AAsheville Tourists · 52 PAwOBA .236 → .192 (−44)K% 17.3% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.31%	÷1.018	×1.340	—	—	22.78%
BB% (unintentional) /PA	5.77%	÷0.987	×0.660	—	×0.980	3.78%
HBP% /PA	1.92%	—	×0.770	—	×0.980	1.45%
Singles /BIP	23.08%	÷1.048	×0.920	—	×0.980	19.85%
Doubles /BIP	0.00%	÷1.085	×0.820	—	×0.980	0.00%
Triples /BIP	2.56%	÷0.900	×0.940	—	×0.980	2.62%
Home runs /BIP	0.00%	÷1.243	×0.820	—	×0.980	0.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 149, 1B 110, 2B 117, 3B 80, K 104, BB 97 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).

Result: wOBA .236 → .192; ISO .042 → .041; BABIP .256 → .225. 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 AAHartford Yard Goats · 48 PAwOBA .258 → .229 (−29)K% 31.2% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷1.051	×1.220	—	—	36.26%
BB% (unintentional) /PA	6.25%	÷1.017	×0.700	—	×1.012	4.35%
HBP% /PA	0.00%	—	×0.850	—	×1.012	0.00%
Singles /BIP	34.48%	÷1.026	×0.970	—	×1.012	33.00%
Doubles /BIP	3.45%	÷1.014	×0.860	—	×1.012	2.96%
Triples /BIP	0.00%	÷0.900	×0.950	—	×1.012	0.00%
Home runs /BIP	0.00%	÷1.183	×0.780	—	×1.012	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 137, 1B 105, 2B 103, 3B 80, K 110, BB 103 — 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).

Result: wOBA .258 → .229; ISO .023 → .019; BABIP .367 → .347. 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 ALansing Lugnuts · 212 PAwOBA .233 → .157 (−76)K% 36.8% → 53.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.79%	÷0.944	×1.360	—	—	53.01%
BB% (unintentional) /PA	9.43%	÷0.970	×0.690	—	×0.990	6.64%
HBP% /PA	1.89%	—	×0.780	—	×0.990	1.46%
Singles /BIP	17.92%	÷1.044	×0.920	×0.954	×0.990	14.92%
Doubles /BIP	6.60%	÷0.982	×0.830	×0.954	×0.990	5.27%
Triples /BIP	2.83%	÷0.918	×0.910	×0.954	×0.990	2.65%
Home runs /BIP	0.94%	÷0.968	×0.800	—	×0.990	0.77%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 109, 2B 96, 3B 84, K 89, BB 94 — 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 ×0.954.

Result: wOBA .233 → .157; ISO .087 → .058; BABIP .271 → .225. 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).