Jeremy Farrell

Pos3B

B/TR/R

Born1986-11-11

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	26	A+CWS	493	.253/.346/.415	11	2	49	—	.185/.256/.296
2014	27	AACWS	275	.247/.322/.350	2	2	55	—	.218/.270/.317
2015	28	AACWS	209	.226/.279/.321	2	1	34	—	.192/.235/.269

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)
2009	22	A	West Virginia Power	—	312	270	67	13	1	5	30	71	8	1	2	248	341	359	700	111	313	23	10	317	58	—	—	—	—	—	—
2010	23	A+	Bradenton Marauders	—	306	275	82	25	0	9	23	57	8	6	2	298	369	487	857	189	349	19	8	380	91	—	—	—	—	—	—
2010	23	ROK	GCL Pirates	—	16	14	5	1	0	1	2	2	0	0	0	357	438	643	1.080	286	364	12	12	467	107	—	—	—	—	—	—
2011	24	AA	Altoona Curve	—	353	312	81	18	1	5	29	78	10	4	1	260	342	372	714	112	330	22	8	324	81	—	—	—	—	—	—
2011	24	ROK	GCL Pirates	—	18	14	2	0	0	0	2	5	1	1	0	143	294	143	437		200	28	11	219	-8	—	—	—	—	—	—
2011	24	INTL	Indios de Mayaguez	—	72	63	11	4	0	1	3	18	5	0	0	175	268	286	553	111	222	25	4	256	59	—	—	—	—	—	—
2012	25	AAA	Indianapolis Indians	—	32	29	6	1	0	0	2	6	1	0	0	207	281	241	523	34	261	19	6	248	27	—	—	—	—	—	—
2012	25	AA	Altoona Curve	—	345	299	67	15	1	4	31	83	12	3	3	224	322	321	643	97	297	24	9	296	46	—	—	—	—	—	—
2013	26	A+	Winston-Salem Dash	—	493	431	109	35	1	11	44	113	17	2	2	253	346	415	761	162	319	23	9	342	49	—	—	—	—	—	—
2014	27	AA	Birmingham Barons	—	275	243	60	15	2	2	23	68	4	2	2	247	322	350	672	103	330	25	8	301	55	—	—	—	—	—	—
2015	28	AA	Birmingham Barons	—	209	190	43	10	1	2	7	59	7	1	0	226	279	321	600	95	313	28	3	267	34	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	A MLE	West Virginia Power	—	312	282	58	10	1	4	18	95	8	1	2	206	273	291	564	85	285	30	6	254	58	—	—	—	—	—	—
2010	23	A+ MLE	Bradenton Marauders	—	306	282	69	22	0	6	16	82	8	6	2	245	304	387	690	142	322	27	5	302	91	—	—	—	—	—	—
2010	23	ROK MLE	GCL Pirates	—	16	15	4	1	0	1	1	3	0	0	0	267	312	533	846	267	270	19	6	326	107	—	—	—	—	—	—
2011	24	AA MLE	Altoona Curve	—	353	319	78	16	1	4	22	97	10	4	1	245	313	339	652	94	333	27	6	288	81	—	—	—	—	—	—
2011	24	ROK MLE	GCL Pirates	—	18	15	2	0	0	0	1	7	1	1	0	133	235	133	369		155	39	6	156	-8	—	—	—	—	—	—
2012	25	AAA MLE	Indianapolis Indians	—	32	30	5	1	0	0	1	7	1	0	0	167	219	200	419	33	237	22	3	208	27	—	—	—	—	—	—
2012	25	AA MLE	Altoona Curve	—	345	309	59	11	1	3	21	104	12	3	3	191	269	262	531	71	266	30	6	236	46	—	—	—	—	—	—
2013	26	A+ MLE	Winston-Salem Dash	—	493	449	83	24	1	8	26	163	17	2	2	185	256	296	552	111	263	33	5	241	49	—	—	—	—	—	—
2014	27	AA MLE	Birmingham Barons	—	275	252	55	15	2	2	14	87	4	2	2	218	270	317	588	99	305	32	5	250	55	—	—	—	—	—	—
2015	28	AA MLE	Birmingham Barons	—	209	193	37	10	1	1	4	73	7	1	0	192	235	269	505	78	283	35	2	219	34	—	—	—	—	—	—
2009	22	A MLE	West Virginia Power	—	312	282	58	10	1	4	18	95	8	1	2	206	273	291	564	85	289	30	6	254	58	—	—	—	—	—	—
2009	22	A RAW	West Virginia Power	—	312	270	67	13	1	5	30	71	8	1	2	248	341	359	700	111	313	23	10	317	58	—	—	—	—	—	—
2010	23	A+ MLE	2 teams	—	322	297	73	23	0	7	17	85	8	6	2	246	304	394	698	148	322	26	5	303	91	—	—	—	—	—	—
2010	23	A+ RAW	2 teams	—	322	289	87	26	0	10	25	59	8	6	2	301	373	495	867	194	350	18	8	384	91	—	—	—	—	—	—
2011	24	AA MLE	3 teams	—	443	395	95	20	1	5	28	125	16	5	1	241	317	334	651	94	336	28	6	282	77	—	—	—	—	—	—
2011	24	AA RAW	3 teams	—	443	389	94	22	1	6	34	101	16	5	1	242	328	350	678	108	309	23	8	308	77	—	—	—	—	—	—
2012	25	AA MLE	2 teams	—	377	338	64	12	1	3	23	111	13	3	3	189	267	257	525	68	272	29	6	234	44	—	—	—	—	—	—
2012	25	AA RAW	2 teams	—	377	328	73	16	1	4	33	89	13	3	3	223	318	314	632	91	294	24	9	292	44	—	—	—	—	—	—
2013	26	A+ MLE	Winston-Salem Dash	—	493	449	83	24	1	8	26	163	17	2	2	185	256	296	552	111	270	33	5	241	49	—	—	—	—	—	—
2013	26	A+ RAW	Winston-Salem Dash	—	493	431	109	35	1	11	44	113	17	2	2	253	346	415	761	162	319	23	9	342	49	—	—	—	—	—	—
2014	27	AA MLE	Birmingham Barons	—	275	252	55	15	2	2	14	87	4	2	2	218	270	317	588	99	319	32	5	250	55	—	—	—	—	—	—
2014	27	AA RAW	Birmingham Barons	—	275	243	60	15	2	2	23	68	4	2	2	247	322	350	672	103	330	25	8	301	55	—	—	—	—	—	—
2015	28	AA MLE	Birmingham Barons	—	209	193	37	10	1	1	4	73	7	1	0	192	235	269	505	78	298	35	2	219	34	—	—	—	—	—	—
2015	28	AA RAW	Birmingham Barons	—	209	190	43	10	1	2	7	59	7	1	0	226	279	321	600	95	313	28	3	267	34	—	—	—	—	—	—
2009	22	A MLE	West Virginia Power	—	312	283	58	10	1	4	18	95	8	1	2	205	273	290	562	85	285	30	6	254	58	—	—	—	—	—	—
2010	23	A+ MLE	2 teams	—	322	294	73	23	0	7	17	85	8	6	2	248	304	398	702	150	319	26	5	303	91	—	—	—	—	—	—
2011	24	AA MLE	3 teams	—	443	396	95	20	1	5	28	125	16	5	1	240	317	333	650	93	324	28	6	282	77	—	—	—	—	—	—
2012	25	AA MLE	2 teams	—	377	338	64	12	1	3	23	111	13	3	3	189	267	257	525	68	264	29	6	234	44	—	—	—	—	—	—
2013	26	A+ MLE	Winston-Salem Dash	—	493	447	83	24	1	8	26	163	17	2	2	186	256	298	554	112	263	33	5	241	49	—	—	—	—	—	—
2014	27	AA MLE	Birmingham Barons	—	275	255	55	15	2	2	14	87	4	2	2	216	270	314	584	98	305	32	5	250	55	—	—	—	—	—	—
2015	28	AA MLE	Birmingham Barons	—	209	196	37	10	1	1	4	73	7	1	0	189	235	265	501	77	283	35	2	219	34	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2431	2206	465	114	7	30	130	739	73	20	12	211	277	310	587	99	300	30	5	256	60	-117	-1	+0	+9	+53	-5.7
/ 162G	—	MLE		—	650	590	124	30	2	8	35	198	20	5	3	210	278	308	586	98	300	30	5	256	60	-31	-0	+0	+2	+14	-1.5

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.

2015 AABirmingham Barons · 209 PAwOBA .262 → .219 (−43)K% 28.2% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.23%	÷0.981	×1.220	—	—	35.10%
BB% (unintentional) /PA	3.35%	÷1.019	×0.680	—	×0.958	2.14%
HBP% /PA	3.35%	—	×0.840	—	×0.958	2.70%
Singles /BIP	22.90%	÷1.007	×0.920	×1.009	×0.958	20.22%
Doubles /BIP	7.63%	÷0.875	×0.910	×1.009	×0.958	7.67%
Triples /BIP	0.76%	÷1.087	×0.880	×1.009	×0.958	0.60%
Home runs /BIP	1.53%	÷1.102	×0.800	—	×0.958	1.06%

Factors used: league row SL. Park (home-season share, regressed): HR 120, 1B 101, 2B 75, 3B 117, K 96, BB 104 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .262 → .219; ISO .095 → .080; BABIP .313 → .283. 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 AABirmingham Barons · 275 PAwOBA .297 → .250 (−47)K% 24.7% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.73%	÷0.955	×1.220	—	—	31.59%
BB% (unintentional) /PA	8.36%	÷1.057	×0.680	—	×0.968	5.21%
HBP% /PA	1.45%	—	×0.840	—	×0.968	1.18%
Singles /BIP	23.43%	÷1.021	×0.920	×1.035	×0.968	21.14%
Doubles /BIP	8.57%	÷0.903	×0.910	×1.035	×0.968	8.66%
Triples /BIP	1.14%	÷1.065	×0.880	×1.035	×0.968	0.95%
Home runs /BIP	1.14%	÷0.967	×0.800	—	×0.968	0.92%

Factors used: league row SL. Park (home-season share, regressed): HR 93, 1B 104, 2B 81, 3B 113, K 91, BB 111 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .297 → .250; ISO .103 → .093; BABIP .330 → .305. 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 A+Winston-Salem Dash · 493 PAwOBA .333 → .241 (−92)K% 22.9% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.92%	÷0.985	×1.420	—	—	33.03%
BB% (unintentional) /PA	8.72%	÷1.001	×0.630	—	×0.958	5.26%
HBP% /PA	3.45%	—	×0.860	—	×0.958	2.84%
Singles /BIP	19.50%	÷1.040	×0.940	×1.015	×0.958	17.14%
Doubles /BIP	11.01%	÷1.077	×0.830	×1.015	×0.958	8.26%
Triples /BIP	0.31%	÷1.150	×0.800	×1.015	×0.958	0.21%
Home runs /BIP	3.46%	÷1.083	×0.900	—	×0.958	2.75%

Factors used: league row CAR. Park (home-season share, regressed): HR 117, 1B 108, 2B 115, 3B 130, K 97, BB 100 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .333 → .241; ISO .162 → .114; BABIP .319 → .263. 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 AAAltoona Curve · 345 PAwOBA .287 → .236 (−51)K% 24.1% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.06%	÷0.979	×1.220	—	—	29.98%
BB% (unintentional) /PA	8.41%	÷0.943	×0.700	—	×0.988	6.17%
HBP% /PA	3.48%	—	×0.850	—	×0.988	2.92%
Singles /BIP	21.76%	÷1.018	×0.970	×1.013	×0.988	20.75%
Doubles /BIP	6.94%	÷1.173	×0.860	×1.013	×0.988	5.10%
Triples /BIP	0.46%	÷1.026	×0.950	×1.013	×0.988	0.43%
Home runs /BIP	1.85%	÷1.042	×0.780	—	×0.988	1.37%

Factors used: league row EL. Park (home-season share, regressed): HR 108, 1B 104, 2B 135, 3B 105, K 96, BB 89 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .287 → .236; ISO .097 → .071; BABIP .297 → .266. 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 AAAIndianapolis Indians · 32 PAwOBA .242 → .208 (−34)K% 18.8% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.014	×1.200	—	—	22.19%
BB% (unintentional) /PA	6.25%	÷1.043	×0.690	—	×1.018	4.21%
HBP% /PA	3.12%	—	×0.940	—	×1.018	2.99%
Singles /BIP	21.74%	÷1.038	×0.930	—	×1.018	19.82%
Doubles /BIP	4.35%	÷0.945	×0.830	—	×1.018	3.89%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.095	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 108, 2B 89, 3B 130, K 103, BB 109 — 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 .242 → .208; ISO .034 → .030; BABIP .261 → .237. 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 AAAltoona Curve · 353 PAwOBA .315 → .288 (−27)K% 22.1% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.10%	÷0.977	×1.220	—	—	27.59%
BB% (unintentional) /PA	7.93%	÷0.897	×0.700	—	×0.998	6.18%
HBP% /PA	2.83%	—	×0.850	—	×0.998	2.40%
Singles /BIP	24.36%	÷0.986	×0.970	×1.050	×0.998	25.11%
Doubles /BIP	7.69%	÷0.949	×0.860	×1.050	×0.998	7.31%
Triples /BIP	0.43%	÷0.949	×0.950	×1.050	×0.998	0.45%
Home runs /BIP	2.14%	÷0.931	×0.780	—	×0.998	1.79%

Factors used: league row EL. Park (home-season share, regressed): HR 86, 1B 97, 2B 90, 3B 90, K 95, BB 79 — 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 ×1.050.

Result: wOBA .315 → .288; ISO .112 → .098; BABIP .330 → .333. 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 ROKGCL Pirates · 18 PAwOBA .227 → .156 (−71)K% 27.8% → 40.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.78%	÷1.000	×1.440	—	—	40.00%
BB% (unintentional) /PA	11.11%	÷1.000	×0.620	—	×0.945	6.51%
HBP% /PA	5.56%	—	×0.720	—	×0.945	3.78%
Singles /BIP	22.22%	÷1.000	×0.820	—	×0.945	17.22%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.945	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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .227 → .156; ISO .000 → .000; BABIP .200 → .155. 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 A+Bradenton Marauders · 306 PAwOBA .369 → .302 (−68)K% 18.6% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.63%	÷0.984	×1.420	—	—	26.88%
BB% (unintentional) /PA	7.52%	÷1.061	×0.750	—	×0.988	5.25%
HBP% /PA	2.61%	—	×0.930	—	×0.988	2.40%
Singles /BIP	22.02%	÷1.039	×0.920	×1.050	×0.988	20.22%
Doubles /BIP	11.47%	÷1.041	×0.960	×1.050	×0.988	10.97%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×0.988	0.00%
Home runs /BIP	4.13%	÷1.118	×0.880	—	×0.988	3.21%

Factors used: league row FSL. Park (home-season share, regressed): HR 124, 1B 108, 2B 108, 3B 130, K 97, BB 112 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .369 → .302; ISO .189 → .150; BABIP .349 → .322. 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 — .