Caleb Ramsey

PosRF

B/TL/R

Born1988-10-07

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	26	AAA/AA2 orgs	482	.287/.357/.343	2	13	82	—	.278/.328/.330
2016	27	AAASyracuse Chie…	468	.265/.322/.361	4	5	59	—	.231/.266/.310
2017	28	AAASyracuse Chie…	259	.246/.319/.306	1	0	50	—	.221/.272/.271

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)
2012	23	A	Hagerstown Suns	—	510	462	136	17	10	7	37	46	5	22	10	294	353	420	773	126	314	9	7	342	78	—	—	—	—	—	—
2013	24	A+	Potomac Nationals	—	528	483	140	20	4	6	32	69	5	13	8	290	340	385	725	95	324	13	6	322	65	—	—	—	—	—	—
2014	25	AA	Harrisburg Senators	—	523	473	116	16	2	1	42	75	2	20	5	245	309	294	603	49	287	14	8	276	51	—	—	—	—	—	—
2015	26	AAA	Syracuse Chiefs	—	357	319	89	4	4	1	33	60	2	9	3	279	350	326	676	47	337	17	9	310	76	—	—	—	—	—	—
2015	26	AA	Harrisburg Senators	—	125	110	34	2	2	1	12	17	0	4	1	309	377	391	768	82	355	14	10	340	101	—	—	—	—	—	—
2016	27	AAA	Syracuse Chiefs	—	468	427	113	25	2	4	36	85	0	5	0	265	322	361	682	96	321	18	8	306	59	—	—	—	—	—	—
2017	28	AAA	Syracuse Chiefs	—	259	232	57	11	0	1	24	51	1	0	1	246	319	306	625	60	308	20	9	287	50	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	23	A MLE	Hagerstown Suns	—	510	474	122	14	8	5	25	64	5	22	10	257	302	352	654	95	283	13	5	283	78	—	—	—	—	—	—
2013	24	A+ MLE	Potomac Nationals	—	528	495	122	16	3	5	20	105	5	13	8	246	283	321	604	75	293	20	4	265	65	—	—	—	—	—	—
2014	25	AA MLE	Harrisburg Senators	—	523	488	113	13	2	1	28	96	2	20	5	232	276	273	549	41	279	18	5	243	51	—	—	—	—	—	—
2015	26	AAA MLE	Syracuse Chiefs	—	357	328	87	3	4	1	24	69	2	9	3	265	319	308	627	43	326	19	7	281	76	—	—	—	—	—	—
2015	26	AA MLE	Harrisburg Senators	—	125	115	36	2	2	1	7	20	0	4	1	313	352	391	744	78	354	16	6	318	101	—	—	—	—	—	—
2016	27	AAA MLE	Syracuse Chiefs	—	468	442	102	22	2	3	21	108	0	5	0	231	266	310	576	79	295	23	4	256	59	—	—	—	—	—	—
2017	28	AAA MLE	Syracuse Chiefs	—	259	240	53	9	0	1	16	61	1	0	1	221	272	271	543	50	285	24	6	242	50	—	—	—	—	—	—
2012	23	A MLE	Hagerstown Suns	—	510	474	122	14	8	5	25	64	5	22	10	257	302	352	654	95	287	13	5	283	78	—	—	—	—	—	—
2012	23	A RAW	Hagerstown Suns	—	510	462	136	17	10	7	37	46	5	22	10	294	353	420	773	126	314	9	7	342	78	—	—	—	—	—	—
2013	24	A+ MLE	Potomac Nationals	—	528	495	122	16	3	5	20	105	5	13	8	246	283	321	604	75	299	20	4	265	65	—	—	—	—	—	—
2013	24	A+ RAW	Potomac Nationals	—	528	483	140	20	4	6	32	69	5	13	8	290	340	385	725	95	324	13	6	322	65	—	—	—	—	—	—
2014	25	AA MLE	Harrisburg Senators	—	523	488	113	13	2	1	28	96	2	20	5	232	276	273	549	41	284	18	5	243	51	—	—	—	—	—	—
2014	25	AA RAW	Harrisburg Senators	—	523	473	116	16	2	1	42	75	2	20	5	245	309	294	603	49	287	14	8	276	51	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	482	443	123	5	7	2	31	89	2	13	4	278	328	334	662	56	340	18	6	291	83	—	—	—	—	—	—
2015	26	AAA RAW	2 teams	—	482	429	123	6	6	2	45	77	2	13	4	287	357	343	700	56	342	16	9	318	83	—	—	—	—	—	—
2016	27	AAA MLE	Syracuse Chiefs	—	468	442	102	22	2	3	21	108	0	5	0	231	266	310	576	79	297	23	4	256	59	—	—	—	—	—	—
2016	27	AAA RAW	Syracuse Chiefs	—	468	427	113	25	2	4	36	85	0	5	0	265	322	361	682	96	321	18	8	306	59	—	—	—	—	—	—
2017	28	AAA MLE	Syracuse Chiefs	—	259	240	53	9	0	1	16	61	1	0	1	221	272	271	543	50	289	24	6	242	50	—	—	—	—	—	—
2017	28	AAA RAW	Syracuse Chiefs	—	259	232	57	11	0	1	24	51	1	0	1	246	319	306	625	60	308	20	9	287	50	—	—	—	—	—	—
2012	23	A MLE	Hagerstown Suns	—	510	475	122	14	8	5	25	64	5	22	10	257	302	352	653	95	283	13	5	283	78	—	—	—	—	—	—
2013	24	A+ MLE	Potomac Nationals	—	528	498	122	16	3	5	20	105	5	13	8	245	283	319	602	74	293	20	4	265	65	—	—	—	—	—	—
2014	25	AA MLE	Harrisburg Senators	—	523	488	113	13	2	1	28	96	2	20	5	232	276	273	549	41	279	18	5	243	51	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	482	446	123	5	7	2	31	89	2	13	4	276	328	332	660	56	333	18	6	291	83	—	—	—	—	—	—
2016	27	AAA MLE	Syracuse Chiefs	—	468	444	102	22	2	3	21	108	0	5	0	230	266	309	574	79	295	23	4	256	59	—	—	—	—	—	—
2017	28	AAA MLE	Syracuse Chiefs	—	259	240	53	9	0	1	16	61	1	0	1	221	272	271	543	50	285	24	6	242	50	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2770	2582	635	79	22	17	141	523	15	73	28	246	289	313	602	67	300	19	5	265	65	-114	+3	+0	-30	+60	-8.2
/ 162G	—	MLE		—	650	606	149	19	5	4	33	123	4	17	7	246	289	314	603	68	300	19	5	265	65	-27	+1	+0	-7	+14	-1.9

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 AAASyracuse Chiefs · 259 PAwOBA .282 → .242 (−40)K% 19.7% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.69%	÷1.005	×1.200	—	—	23.51%
BB% (unintentional) /PA	9.27%	÷1.033	×0.690	—	×0.982	6.08%
HBP% /PA	0.39%	—	×0.940	—	×0.982	0.36%
Singles /BIP	24.86%	÷0.997	×0.930	×1.050	×0.982	23.90%
Doubles /BIP	6.08%	÷1.081	×0.830	×1.050	×0.982	4.81%
Triples /BIP	0.00%	÷1.150	×0.970	×1.050	×0.982	0.00%
Home runs /BIP	0.55%	÷0.980	×0.840	—	×0.982	0.46%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 99, 2B 116, 3B 130, K 101, BB 107 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .282 → .242; ISO .060 → .049; BABIP .308 → .285. 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 AAASyracuse Chiefs · 468 PAwOBA .297 → .256 (−41)K% 18.2% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.16%	÷0.949	×1.200	—	—	22.96%
BB% (unintentional) /PA	7.26%	÷1.110	×0.690	—	×0.992	4.48%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	23.98%	÷1.048	×0.930	×1.048	×0.992	22.12%
Doubles /BIP	7.31%	÷0.959	×0.830	×1.048	×0.992	6.58%
Triples /BIP	0.58%	÷0.900	×0.970	×1.048	×0.992	0.66%
Home runs /BIP	1.17%	÷0.978	×0.840	—	×0.992	1.00%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 110, 2B 92, 3B 80, K 90, BB 122 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .297 → .256; ISO .096 → .087; BABIP .321 → .295. 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 AAASyracuse Chiefs · 357 PAwOBA .304 → .281 (−23)K% 16.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.81%	÷1.043	×1.200	—	—	19.34%
BB% (unintentional) /PA	8.96%	÷0.938	×0.690	—	×1.003	6.62%
HBP% /PA	0.56%	—	×0.940	—	×1.003	0.53%
Singles /BIP	30.89%	÷1.010	×0.930	×1.050	×1.003	29.95%
Doubles /BIP	1.54%	÷1.088	×0.830	×1.050	×1.003	1.24%
Triples /BIP	1.54%	÷0.947	×0.970	×1.050	×1.003	1.67%
Home runs /BIP	0.39%	÷1.183	×0.840	—	×1.003	0.27%

Factors used: league row IL. Park (home-season share, regressed): HR 137, 1B 102, 2B 118, 3B 89, K 109, BB 88 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .304 → .281; ISO .047 → .044; BABIP .337 → .326. 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 AAHarrisburg Senators · 125 PAwOBA .331 → .318 (−14)K% 13.6% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.60%	÷1.018	×1.220	—	—	16.30%
BB% (unintentional) /PA	8.80%	÷1.052	×0.700	—	×0.978	5.73%
HBP% /PA	0.00%	—	×0.850	—	×0.978	0.00%
Singles /BIP	31.18%	÷0.962	×0.970	×1.023	×0.978	31.46%
Doubles /BIP	2.15%	÷1.070	×0.860	×1.023	×0.978	1.73%
Triples /BIP	2.15%	÷0.916	×0.950	×1.023	×0.978	2.23%
Home runs /BIP	1.08%	÷0.986	×0.780	—	×0.978	0.83%

Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 92, 2B 114, 3B 83, K 104, BB 110 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .331 → .318; ISO .082 → .077; BABIP .355 → .354. 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 AAHarrisburg Senators · 523 PAwOBA .270 → .243 (−28)K% 14.3% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.34%	÷0.955	×1.220	—	—	18.32%
BB% (unintentional) /PA	7.84%	÷1.032	×0.700	—	×0.988	5.26%
HBP% /PA	0.38%	—	×0.850	—	×0.988	0.32%
Singles /BIP	24.37%	÷0.992	×0.970	×1.035	×0.988	24.35%
Doubles /BIP	4.02%	÷1.109	×0.860	×1.035	×0.988	3.19%
Triples /BIP	0.50%	÷1.000	×0.950	×1.035	×0.988	0.49%
Home runs /BIP	0.25%	÷0.991	×0.780	—	×0.988	0.20%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 98, 2B 122, 3B 100, K 91, BB 106 — 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 ×1.035.

Result: wOBA .270 → .243; ISO .049 → .040; BABIP .287 → .279. 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+Potomac Nationals · 528 PAwOBA .317 → .265 (−52)K% 13.1% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.07%	÷0.932	×1.420	—	—	19.91%
BB% (unintentional) /PA	6.06%	÷0.991	×0.630	—	×0.978	3.77%
HBP% /PA	0.95%	—	×0.860	—	×0.978	0.80%
Singles /BIP	26.57%	÷1.031	×0.940	×1.038	×0.978	24.59%
Doubles /BIP	4.83%	÷0.992	×0.830	×1.038	×0.978	4.10%
Triples /BIP	0.97%	÷1.150	×0.800	×1.038	×0.978	0.68%
Home runs /BIP	1.45%	÷0.936	×0.900	—	×0.978	1.36%

Factors used: league row CAR. Park (home-season share, regressed): HR 87, 1B 106, 2B 98, 3B 130, K 86, BB 98 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .317 → .265; ISO .095 → .079; BABIP .324 → .293. 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 AHagerstown Suns · 510 PAwOBA .334 → .283 (−52)K% 9.0% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.02%	÷0.970	×1.340	—	—	12.47%
BB% (unintentional) /PA	7.25%	÷0.960	×0.660	—	×0.980	4.89%
HBP% /PA	0.98%	—	×0.770	—	×0.980	0.74%
Singles /BIP	24.52%	÷0.987	×0.920	×1.017	×0.980	22.79%
Doubles /BIP	4.09%	÷1.009	×0.820	×1.017	×0.980	3.31%
Triples /BIP	2.40%	÷1.150	×0.940	×1.017	×0.980	1.96%
Home runs /BIP	1.68%	÷1.150	×0.820	—	×0.980	1.18%

Factors used: league row SAL. Park (home-season share, regressed): HR 130, 1B 97, 2B 102, 3B 130, K 94, BB 92 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .334 → .283; ISO .126 → .097; BABIP .314 → .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).