Robertico Medina

Pos3B

B/TR/R

Born1994-01-12

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

ROKLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	20	ROKDSL Orioles 1	232	.200/.374/.300	3	7	29	—	.124/.265/.171
2015	21	ROKDSL Orioles 1	234	.221/.362/.384	5	9	32	—	.134/.250/.214
2016	22	ROKDSL Orioles 1	211	.228/.389/.287	1	2	28	—	.133/.256/.155

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)
2013	19	ROK	DSL Orioles 2	—	238	215	41	6	0	3	19	88	4	6	2	191	269	260	529	70	306	37	8	248	-12	—	—	—	—	—	—
2014	20	ROK	DSL Orioles 1	—	232	180	36	7	1	3	42	71	8	7	2	200	374	300	674	100	308	31	18	322	29	—	—	—	—	—	—
2015	21	ROK	DSL Orioles 1	—	234	190	42	6	5	5	35	62	7	9	2	221	362	384	746	163	296	26	15	339	32	—	—	—	—	—	—
2016	22	ROK	DSL Orioles 1	—	211	167	38	7	0	1	43	65	1	2	2	228	389	287	676	60	366	31	20	327	28	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	19	ROK MLE	DSL Orioles 2	—	238	221	25	3	0	1	13	107	4	6	2	113	176	140	317	27	211	45	5	151	-12	—	—	—	—	—	—
2014	20	ROK MLE	DSL Orioles 1	—	232	193	24	4	1	1	29	87	8	7	2	124	265	171	436	47	206	38	12	211	29	—	—	—	—	—	—
2015	21	ROK MLE	DSL Orioles 1	—	234	201	27	4	3	2	24	76	7	9	2	134	250	214	464	80	194	32	10	216	32	—	—	—	—	—	—
2016	22	ROK MLE	DSL Orioles 1	—	211	181	24	4	0	0	29	79	1	2	2	133	256	155	411	22	238	37	14	209	28	—	—	—	—	—	—
2013	19	ROK MLE	DSL Orioles 2	—	238	221	25	3	0	1	13	107	4	6	2	113	176	140	317	27	212	45	5	151	-12	—	—	—	—	—	—
2013	19	ROK RAW	DSL Orioles 2	—	238	215	41	6	0	3	19	88	4	6	2	191	269	260	529	70	306	37	8	248	-12	—	—	—	—	—	—
2014	20	ROK MLE	DSL Orioles 1	—	232	193	24	4	1	1	29	87	8	7	2	124	265	171	436	47	217	38	12	211	29	—	—	—	—	—	—
2014	20	ROK RAW	DSL Orioles 1	—	232	180	36	7	1	3	42	71	8	7	2	200	374	300	674	100	308	31	18	322	29	—	—	—	—	—	—
2015	21	ROK MLE	DSL Orioles 1	—	234	201	27	4	3	2	24	76	7	9	2	134	250	214	464	80	200	32	10	216	32	—	—	—	—	—	—
2015	21	ROK RAW	DSL Orioles 1	—	234	190	42	6	5	5	35	62	7	9	2	221	362	384	746	163	296	26	15	339	32	—	—	—	—	—	—
2016	22	ROK MLE	DSL Orioles 1	—	211	181	24	4	0	0	29	79	1	2	2	133	256	155	411	22	235	37	14	209	28	—	—	—	—	—	—
2016	22	ROK RAW	DSL Orioles 1	—	211	167	38	7	0	1	43	65	1	2	2	228	389	287	676	60	366	31	20	327	28	—	—	—	—	—	—
2013	19	ROK MLE	DSL Orioles 2	—	238	219	25	3	0	1	13	107	4	6	2	114	176	142	318	27	211	45	5	151	-12	—	—	—	—	—	—
2014	20	ROK MLE	DSL Orioles 1	—	232	193	24	4	1	1	29	87	8	7	2	124	265	171	436	47	206	38	12	211	29	—	—	—	—	—	—
2015	21	ROK MLE	DSL Orioles 1	—	234	201	27	4	3	2	24	76	7	9	2	134	250	214	464	80	194	32	10	216	32	—	—	—	—	—	—
2016	22	ROK MLE	DSL Orioles 1	—	211	179	24	4	0	0	29	79	1	2	2	134	256	156	412	22	238	37	14	209	28	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	915	796	100	15	4	4	95	349	20	24	8	126	236	170	406	44	215	38	10	196	19	-88	+2	+0	+3	+20	-6.5
/ 162G	—	MLE		—	650	565	72	11	3	3	67	248	14	17	6	127	236	173	410	46	218	38	10	196	19	-63	+1	+0	+2	+14	-4.6

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.

2016 DSLDSL Orioles 1 · 211 PAwOBA .320 → .209 (−110)K% 30.8% → 37.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.81%	÷1.000	×1.220	—	—	37.58%
BB% (unintentional) /PA	20.38%	÷1.000	×0.700	—	×0.965	13.77%
HBP% /PA	0.47%	—	×0.700	—	×0.965	0.32%
Singles /BIP	29.41%	÷1.000	×0.680	×1.018	×0.965	19.64%
Doubles /BIP	6.86%	÷1.000	×0.600	×1.018	×0.965	4.04%
Triples /BIP	0.00%	÷1.000	×0.600	×1.018	×0.965	0.00%
Home runs /BIP	0.98%	÷1.000	×0.470	—	×0.965	0.44%

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 22 vs a level average of 18.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .320 → .209; ISO .060 → .033; BABIP .366 → .238. 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 DSLDSL Orioles 1 · 234 PAwOBA .334 → .216 (−118)K% 26.5% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.50%	÷1.000	×1.220	—	—	32.32%
BB% (unintentional) /PA	14.96%	÷1.000	×0.700	—	×0.975	10.21%
HBP% /PA	2.99%	—	×0.700	—	×0.975	2.04%
Singles /BIP	20.31%	÷1.000	×0.680	×1.045	×0.975	14.08%
Doubles /BIP	4.69%	÷1.000	×0.600	×1.045	×0.975	2.87%
Triples /BIP	3.91%	÷1.000	×0.600	×1.045	×0.975	2.39%
Home runs /BIP	3.91%	÷1.000	×0.470	—	×0.975	1.79%

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 ×1.045.

Result: wOBA .334 → .216; ISO .163 → .089; BABIP .296 → .194. 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 DSLDSL Orioles 1 · 232 PAwOBA .316 → .211 (−105)K% 30.6% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.60%	÷1.000	×1.220	—	—	37.34%
BB% (unintentional) /PA	18.10%	÷1.000	×0.700	—	×0.985	12.48%
HBP% /PA	3.45%	—	×0.700	—	×0.985	2.38%
Singles /BIP	22.94%	÷1.000	×0.680	×1.040	×0.985	15.98%
Doubles /BIP	6.42%	÷1.000	×0.600	×1.040	×0.985	3.95%
Triples /BIP	0.92%	÷1.000	×0.600	×1.040	×0.985	0.56%
Home runs /BIP	2.75%	÷1.000	×0.470	—	×0.985	1.27%

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 ×1.040.

Result: wOBA .316 → .211; ISO .100 → .055; BABIP .308 → .206. 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 Orioles 2 · 238 PAwOBA .242 → .151 (−91)K% 37.0% → 45.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.97%	÷1.000	×1.220	—	—	45.11%
BB% (unintentional) /PA	7.98%	÷1.000	×0.700	—	×0.995	5.56%
HBP% /PA	1.68%	—	×0.700	—	×0.995	1.17%
Singles /BIP	25.20%	÷1.000	×0.680	×1.050	×0.995	17.90%
Doubles /BIP	4.72%	÷1.000	×0.600	×1.050	×0.995	2.96%
Triples /BIP	0.00%	÷1.000	×0.600	×1.050	×0.995	0.00%
Home runs /BIP	2.36%	÷1.000	×0.470	—	×0.995	1.10%

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 ×1.050.

Result: wOBA .242 → .151; ISO .070 → .033; BABIP .306 → .211. 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).