Rodolfo Penalo

Pos2B

B/TS/R

Born1992-08-27

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

ROKLAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	20	ROKOAK	184	.311/.422/.404	0	29	58	—	.214/.306/.277
2014	21	ROKAZL Athletics	224	.275/.439/.368	1	37	73	—	.212/.326/.275
2015	22	ROKAZL Athletics	166	.222/.321/.292	0	6	23	—	.164/.230/.211

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)
2010	17	ROK	DSL Athletics	—	126	103	25	2	1	0	18	18	3	12	8	243	371	282	653	39	294	14	14	308	26	—	—	—	—	—	—
2011	18	ROK	DSL Athletics	—	96	80	20	2	1	1	11	12	1	8	7	250	348	338	685	88	275	12	11	304	29	—	—	—	—	—	—
2012	19	ROK	DSL Athletics	—	206	173	39	5	5	1	25	27	4	17	6	225	337	329	666	104	262	13	12	302	22	—	—	—	—	—	—
2013	20	ROK	DSL Athletics	—	184	151	47	6	4	0	25	21	4	29	10	311	422	404	826	93	362	11	14	370	58	—	—	—	—	—	—
2014	21	ROK	AZL Athletics	—	224	171	47	7	3	1	46	31	4	37	9	275	439	368	807	94	329	14	21	373	73	—	—	—	—	—	—
2015	22	ROK	AZL Athletics	—	166	144	32	2	4	0	19	29	2	6	6	222	321	292	613	69	278	17	11	285	23	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	DSL Athletics	—	126	109	17	1	1	0	12	22	3	12	8	156	258	183	442	28	193	17	10	207	26	—	—	—	—	—	—
2011	18	ROK MLE	DSL Athletics	—	96	83	15	1	1	1	8	15	1	8	7	181	261	253	514	72	185	16	8	211	29	—	—	—	—	—	—
2012	19	ROK MLE	DSL Athletics	—	206	182	26	3	3	0	16	33	4	17	6	143	228	192	420	49	174	16	8	200	22	—	—	—	—	—	—
2013	20	ROK MLE	DSL Athletics	—	184	159	34	4	3	0	17	26	4	29	10	214	306	277	582	63	244	14	9	254	58	—	—	—	—	—	—
2014	21	ROK MLE	AZL Athletics	—	224	189	40	5	2	1	28	45	4	37	9	212	326	275	601	63	268	20	12	276	73	—	—	—	—	—	—
2015	22	ROK MLE	AZL Athletics	—	166	152	25	1	3	0	11	42	2	6	6	164	230	211	441	46	226	25	7	202	23	—	—	—	—	—	—
2010	17	ROK MLE	DSL Athletics	—	126	109	17	1	1	0	12	22	3	12	8	156	258	183	442	28	195	17	10	207	26	—	—	—	—	—	—
2010	17	ROK RAW	DSL Athletics	—	126	103	25	2	1	0	18	18	3	12	8	243	371	282	653	39	294	14	14	308	26	—	—	—	—	—	—
2011	18	ROK MLE	DSL Athletics	—	96	83	15	1	1	1	8	15	1	8	7	181	261	253	514	72	203	16	8	211	29	—	—	—	—	—	—
2011	18	ROK RAW	DSL Athletics	—	96	80	20	2	1	1	11	12	1	8	7	250	348	338	685	88	275	12	11	304	29	—	—	—	—	—	—
2012	19	ROK MLE	DSL Athletics	—	206	182	26	3	3	0	16	33	4	17	6	143	228	192	420	49	174	16	8	200	22	—	—	—	—	—	—
2012	19	ROK RAW	DSL Athletics	—	206	173	39	5	5	1	25	27	4	17	6	225	337	329	666	104	262	13	12	302	22	—	—	—	—	—	—
2013	20	ROK MLE	DSL Athletics	—	184	159	34	4	3	0	17	26	4	29	10	214	306	277	582	63	256	14	9	254	58	—	—	—	—	—	—
2013	20	ROK RAW	DSL Athletics	—	184	151	47	6	4	0	25	21	4	29	10	311	422	404	826	93	362	11	14	370	58	—	—	—	—	—	—
2014	21	ROK MLE	AZL Athletics	—	224	189	40	5	2	1	28	45	4	37	9	212	326	275	601	63	271	20	12	276	73	—	—	—	—	—	—
2014	21	ROK RAW	AZL Athletics	—	224	171	47	7	3	1	46	31	4	37	9	275	439	368	807	94	329	14	21	373	73	—	—	—	—	—	—
2015	22	ROK MLE	AZL Athletics	—	166	152	25	1	3	0	11	42	2	6	6	164	230	211	441	46	227	25	7	202	23	—	—	—	—	—	—
2015	22	ROK RAW	AZL Athletics	—	166	144	32	2	4	0	19	29	2	6	6	222	321	292	613	69	278	17	11	285	23	—	—	—	—	—	—
2010	17	ROK MLE	DSL Athletics	—	126	110	17	1	1	0	12	22	3	12	8	155	258	182	440	27	193	17	10	207	26	—	—	—	—	—	—
2011	18	ROK MLE	DSL Athletics	—	96	87	15	1	1	1	8	15	1	8	7	172	261	241	502	69	185	16	8	211	29	—	—	—	—	—	—
2012	19	ROK MLE	DSL Athletics	—	206	184	26	3	3	0	16	33	4	17	6	141	228	190	418	49	174	16	8	200	22	—	—	—	—	—	—
2013	20	ROK MLE	DSL Athletics	—	184	161	34	4	3	0	17	26	4	29	10	211	306	273	579	62	244	14	9	254	58	—	—	—	—	—	—
2014	21	ROK MLE	AZL Athletics	—	224	190	40	5	2	1	28	45	4	37	9	211	326	274	599	63	268	20	12	276	73	—	—	—	—	—	—
2015	22	ROK MLE	AZL Athletics	—	166	152	25	1	3	0	11	42	2	6	6	164	230	211	441	46	226	25	7	202	23	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1002	874	157	15	13	2	92	183	18	109	46	180	271	233	505	54	224	18	9	229	41	-70	+3	+0	+4	+22	-4.2
/ 162G	—	MLE		—	650	567	101	10	8	1	60	119	12	71	30	178	271	229	500	51	223	18	9	229	41	-45	+2	+0	+2	+14	-2.7

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.

2015 ROKAZL Athletics · 166 PAwOBA .278 → .202 (−77)K% 17.5% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.47%	÷1.000	×1.440	—	—	25.16%
BB% (unintentional) /PA	11.45%	÷1.000	×0.620	—	×0.965	6.85%
HBP% /PA	1.20%	—	×0.720	—	×0.965	0.84%
Singles /BIP	22.61%	÷1.000	×0.820	×1.050	×0.965	18.78%
Doubles /BIP	1.74%	÷1.000	×0.720	×1.050	×0.965	1.27%
Triples /BIP	3.48%	÷1.000	×0.720	×1.050	×0.965	2.54%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.965	0.00%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .278 → .202; ISO .069 → .049; BABIP .278 → .226. 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 ROKAZL Athletics · 224 PAwOBA .367 → .276 (−90)K% 13.8% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.84%	÷1.000	×1.440	—	—	19.93%
BB% (unintentional) /PA	20.54%	÷1.000	×0.620	—	×0.975	12.41%
HBP% /PA	1.79%	—	×0.720	—	×0.975	1.25%
Singles /BIP	25.71%	÷1.000	×0.820	×1.050	×0.975	21.58%
Doubles /BIP	5.00%	÷1.000	×0.720	×1.050	×0.975	3.69%
Triples /BIP	2.14%	÷1.000	×0.720	×1.050	×0.975	1.58%
Home runs /BIP	0.71%	÷1.000	×0.780	—	×0.975	0.54%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .367 → .276; ISO .094 → .074; BABIP .329 → .268. 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 DSLDSL Athletics · 184 PAwOBA .361 → .254 (−107)K% 11.4% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.41%	÷1.000	×1.220	—	—	13.92%
BB% (unintentional) /PA	13.59%	÷1.000	×0.700	—	×0.975	9.27%
HBP% /PA	2.17%	—	×0.700	—	×0.975	1.48%
Singles /BIP	28.46%	÷1.000	×0.680	×1.043	×0.975	19.69%
Doubles /BIP	4.62%	÷1.000	×0.600	×1.043	×0.975	2.82%
Triples /BIP	3.08%	÷1.000	×0.600	×1.043	×0.975	1.88%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.975	0.00%

Factors used: level-wide DSL 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 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .361 → .254; ISO .093 → .060; BABIP .362 → .244. 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).

2012 DSLDSL Athletics · 206 PAwOBA .292 → .200 (−92)K% 13.1% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.11%	÷1.000	×1.220	—	—	15.99%
BB% (unintentional) /PA	11.17%	÷1.000	×0.700	—	×0.985	7.70%
HBP% /PA	1.94%	—	×0.700	—	×0.985	1.34%
Singles /BIP	19.18%	÷1.000	×0.680	×1.024	×0.985	13.15%
Doubles /BIP	3.42%	÷1.000	×0.600	×1.024	×0.985	2.07%
Triples /BIP	3.42%	÷1.000	×0.600	×1.024	×0.985	2.07%
Home runs /BIP	0.68%	÷1.000	×0.470	—	×0.985	0.32%

Factors used: level-wide DSL 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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .292 → .200; ISO .104 → .064; BABIP .262 → .174. 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 DSLDSL Athletics · 96 PAwOBA .303 → .211 (−92)K% 12.5% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.000	×1.220	—	—	15.25%
BB% (unintentional) /PA	11.46%	÷1.000	×0.700	—	×0.995	7.98%
HBP% /PA	1.04%	—	×0.700	—	×0.995	0.73%
Singles /BIP	23.53%	÷1.000	×0.680	×1.016	×0.995	16.17%
Doubles /BIP	2.94%	÷1.000	×0.600	×1.016	×0.995	1.78%
Triples /BIP	1.47%	÷1.000	×0.600	×1.016	×0.995	0.89%
Home runs /BIP	1.47%	÷1.000	×0.470	—	×0.995	0.69%

Factors used: level-wide DSL 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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .303 → .211; ISO .087 → .051; BABIP .275 → .185. 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 DSLDSL Athletics · 126 PAwOBA .299 → .207 (−91)K% 14.3% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.000	×1.220	—	—	17.43%
BB% (unintentional) /PA	13.49%	÷1.000	×0.700	—	×1.008	9.52%
HBP% /PA	2.38%	—	×0.700	—	×1.008	1.68%
Singles /BIP	25.88%	÷1.000	×0.680	×0.969	×1.008	17.18%
Doubles /BIP	2.35%	÷1.000	×0.600	×0.969	×1.008	1.38%
Triples /BIP	1.18%	÷1.000	×0.600	×0.969	×1.008	0.69%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .299 → .207; ISO .039 → .024; BABIP .294 → .193. 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).