Frankeny Fernandez

Pos2B

B/TR/R

Born1996-12-07

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

ROKLAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	18	ROKGCL Astros	143	.148/.262/.221	1	7	-12	—	.109/.184/.171
2016	19	ROKGreeneville A…	228	.223/.342/.372	4	20	35	—	.155/.239/.255
2017	20	ROKGreeneville A…	178	.240/.339/.305	1	4	28	—	.173/.243/.222

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)
2014	17	ROK	GCL Astros	—	305	243	73	13	4	1	43	71	7	35	6	300	420	399	819	99	400	23	14	361	65	—	—	—	—	—	—
2015	18	ROK	GCL Astros	—	143	122	18	4	1	1	19	44	0	7	6	148	262	221	484	74	215	31	13	230	-12	—	—	—	—	—	—
2016	19	ROK	Greeneville Astros	—	228	188	42	10	3	4	30	56	4	20	5	223	342	372	715	149	295	25	13	318	35	—	—	—	—	—	—
2017	20	ROK	Greeneville Astros	—	178	154	37	7	0	1	21	34	2	4	4	240	339	305	644	65	300	19	12	300	28	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	17	ROK MLE	GCL Astros	—	305	259	57	9	3	1	27	102	7	35	6	220	311	290	600	69	312	33	9	265	65	—	—	—	—	—	—
2015	18	ROK MLE	GCL Astros	—	143	129	14	3	1	1	12	63	0	7	6	109	184	171	355	62	170	44	8	151	-12	—	—	—	—	—	—
2016	19	ROK MLE	Greeneville Astros	—	228	200	31	7	2	3	18	80	4	20	5	155	239	255	494	100	225	35	8	220	35	—	—	—	—	—	—
2017	20	ROK MLE	Greeneville Astros	—	178	162	28	5	0	1	13	48	2	4	4	173	243	222	465	49	233	27	7	209	28	—	—	—	—	—	—
2014	17	ROK MLE	GCL Astros	—	305	259	57	9	3	1	27	102	7	35	6	220	311	290	600	69	339	33	9	265	65	—	—	—	—	—	—
2014	17	ROK RAW	GCL Astros	—	305	243	73	13	4	1	43	71	7	35	6	300	420	399	819	99	400	23	14	361	65	—	—	—	—	—	—
2015	18	ROK MLE	GCL Astros	—	143	129	14	3	1	1	12	63	0	7	6	109	184	171	355	62	194	44	8	151	-12	—	—	—	—	—	—
2015	18	ROK RAW	GCL Astros	—	143	122	18	4	1	1	19	44	0	7	6	148	262	221	484	74	215	31	13	230	-12	—	—	—	—	—	—
2016	19	ROK MLE	Greeneville Astros	—	228	200	31	7	2	3	18	80	4	20	5	155	239	255	494	100	237	35	8	220	35	—	—	—	—	—	—
2016	19	ROK RAW	Greeneville Astros	—	228	188	42	10	3	4	30	56	4	20	5	223	342	372	715	149	295	25	13	318	35	—	—	—	—	—	—
2017	20	ROK MLE	Greeneville Astros	—	178	162	28	5	0	1	13	48	2	4	4	173	243	222	465	49	237	27	7	209	28	—	—	—	—	—	—
2017	20	ROK RAW	Greeneville Astros	—	178	154	37	7	0	1	21	34	2	4	4	240	339	305	644	65	300	19	12	300	28	—	—	—	—	—	—
2014	17	ROK MLE	GCL Astros	—	305	268	57	9	3	1	27	102	7	35	6	213	311	280	590	67	312	33	9	265	65	—	—	—	—	—	—
2015	18	ROK MLE	GCL Astros	—	143	130	14	3	1	1	12	63	0	7	6	108	184	169	354	62	170	44	8	151	-12	—	—	—	—	—	—
2016	19	ROK MLE	Greeneville Astros	—	228	204	31	7	2	3	18	80	4	20	5	152	239	250	489	98	225	35	8	220	35	—	—	—	—	—	—
2017	20	ROK MLE	Greeneville Astros	—	178	161	28	5	0	1	13	48	2	4	4	174	243	224	467	50	233	27	7	209	28	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	854	750	130	24	6	6	70	293	13	66	21	173	256	245	501	72	267	34	8	222	37	-64	+5	+0	+3	+19	-3.9
/ 162G	—	MLE		—	650	571	100	18	5	5	53	223	10	50	16	175	257	250	508	75	269	34	8	222	37	-49	+4	+0	+2	+14	-3.0

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.

2017 ROKGreeneville Astros · 178 PAwOBA .293 → .209 (−83)K% 19.1% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.10%	÷1.000	×1.420	—	—	27.12%
BB% (unintentional) /PA	11.24%	÷1.000	×0.640	—	×0.985	7.08%
HBP% /PA	1.12%	—	×0.740	—	×0.985	0.82%
Singles /BIP	24.17%	÷1.000	×0.840	×0.964	×0.985	19.28%
Doubles /BIP	5.83%	÷1.000	×0.740	×0.964	×0.985	4.10%
Triples /BIP	0.00%	÷1.000	×0.740	×0.964	×0.985	0.00%
Home runs /BIP	0.83%	÷1.000	×0.800	—	×0.985	0.66%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .293 → .209; ISO .065 → .046; BABIP .300 → .233. 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 ROKGreeneville Astros · 228 PAwOBA .310 → .220 (−90)K% 24.6% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.56%	÷1.000	×1.420	—	—	34.88%
BB% (unintentional) /PA	12.72%	÷1.000	×0.640	—	×0.995	8.10%
HBP% /PA	1.75%	—	×0.740	—	×0.995	1.29%
Singles /BIP	18.94%	÷1.000	×0.840	×0.958	×0.995	15.17%
Doubles /BIP	7.58%	÷1.000	×0.740	×0.958	×0.995	5.35%
Triples /BIP	2.27%	÷1.000	×0.740	×0.958	×0.995	1.60%
Home runs /BIP	3.03%	÷1.000	×0.800	—	×0.995	2.41%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .310 → .220; ISO .149 → .107; BABIP .295 → .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).

2015 ROKGCL Astros · 143 PAwOBA .229 → .151 (−78)K% 30.8% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.77%	÷1.000	×1.440	—	—	44.31%
BB% (unintentional) /PA	13.29%	÷1.000	×0.620	—	×1.008	8.30%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	15.38%	÷1.000	×0.820	×0.997	×1.008	12.68%
Doubles /BIP	5.13%	÷1.000	×0.720	×0.997	×1.008	3.71%
Triples /BIP	1.28%	÷1.000	×0.720	×0.997	×1.008	0.93%
Home runs /BIP	1.28%	÷1.000	×0.780	—	×1.008	1.01%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .229 → .151; ISO .074 → .048; BABIP .215 → .170. 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 ROKGCL Astros · 305 PAwOBA .363 → .265 (−98)K% 23.3% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.28%	÷1.000	×1.440	—	—	33.52%
BB% (unintentional) /PA	14.10%	÷1.000	×0.620	—	×1.022	8.94%
HBP% /PA	2.30%	—	×0.720	—	×1.022	1.69%
Singles /BIP	31.98%	÷1.000	×0.820	×0.961	×1.022	25.75%
Doubles /BIP	7.56%	÷1.000	×0.720	×0.961	×1.022	5.35%
Triples /BIP	2.33%	÷1.000	×0.720	×0.961	×1.022	1.64%
Home runs /BIP	0.58%	÷1.000	×0.780	—	×1.022	0.46%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .363 → .265; ISO .099 → .070; BABIP .400 → .312. 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).