Cristian Paulino

Pos2B

B/TR/R

Born1991-09-04

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

ALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	23	AATL	187	.299/.371/.467	3	19	71	—	.227/.285/.337
2016	24	A+SF	299	.259/.281/.374	4	29	30	—	.198/.217/.281
2017	25	A+/A2 orgs	308	.283/.347/.384	5	34	55	—	.225/.274/.313

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	18	ROK	DSL Giants	—	250	215	54	10	0	3	20	51	7	19	6	251	335	340	674	88	305	20	8	301	21	—	—	—	—	—	—
2011	19	ROK	AZL Giants	—	135	112	31	7	4	1	16	17	3	10	1	277	382	438	819	161	316	13	12	356	59	—	—	—	—	—	—
2012	20	ROK	AZL Giants	—	106	97	24	5	1	0	6	24	1	11	2	247	298	320	618	72	329	23	6	276	14	—	—	—	—	—	—
2013	21	ROK	AZL Giants	—	110	101	31	9	1	2	5	17	3	13	2	307	358	475	833	168	354	15	5	366	55	—	—	—	—	—	—
2014	22	A	Augusta GreenJackets	—	296	271	65	8	4	3	15	56	5	20	5	240	292	332	624	92	291	19	5	278	37	—	—	—	—	—	—
2015	23	A	Augusta GreenJackets	—	187	167	50	13	3	3	13	39	6	19	5	299	371	467	838	168	376	21	7	371	71	—	—	—	—	—	—
2016	24	A+	San Jose Giants	—	299	286	74	17	2	4	8	69	1	29	10	259	281	374	655	115	329	23	3	287	30	—	—	—	—	—	—
2017	25	A+	San Jose Giants	—	50	47	16	2	0	1	1	11	1	4	2	340	367	447	814	106	429	22	2	357	78	—	—	—	—	—	—
2017	25	A	Augusta GreenJackets	—	258	229	62	9	1	4	23	49	2	30	7	271	343	371	714	100	330	19	9	320	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	18	ROK MLE	DSL Giants	—	250	221	35	6	0	1	14	62	7	19	6	158	231	199	430	41	199	25	6	199	21	—	—	—	—	—	—
2011	19	ROK MLE	AZL Giants	—	135	119	25	5	3	1	9	24	3	10	1	210	282	328	610	118	237	18	7	256	59	—	—	—	—	—	—
2012	20	ROK MLE	AZL Giants	—	106	99	18	3	1	0	4	35	1	11	2	182	221	232	453	51	261	33	4	189	14	—	—	—	—	—	—
2013	21	ROK MLE	AZL Giants	—	110	103	22	6	1	1	3	25	3	13	2	214	257	320	577	107	262	23	3	249	55	—	—	—	—	—	—
2014	22	A MLE	Augusta GreenJackets	—	296	276	55	6	4	3	10	71	5	20	5	199	241	283	523	83	249	24	3	223	37	—	—	—	—	—	—
2015	23	A MLE	Augusta GreenJackets	—	187	172	39	9	2	2	8	52	6	19	5	227	285	337	622	110	308	28	4	273	71	—	—	—	—	—	—
2016	24	A+ MLE	San Jose Giants	—	299	288	57	13	1	3	6	93	1	29	10	198	217	281	498	83	273	31	2	213	30	—	—	—	—	—	—
2017	25	A+ MLE	San Jose Giants	—	50	47	13	1	0	1	1	14	1	4	2	277	306	362	668	85	374	28	2	284	78	—	—	—	—	—	—
2017	25	A MLE	Augusta GreenJackets	—	258	237	51	7	1	4	15	69	2	30	7	215	268	304	572	89	278	27	6	244	51	—	—	—	—	—	—
2010	18	ROK MLE	DSL Giants	—	250	221	35	6	0	1	14	62	7	19	6	158	231	199	430	41	207	25	6	199	21	—	—	—	—	—	—
2010	18	ROK RAW	DSL Giants	—	250	215	54	10	0	3	20	51	7	19	6	251	335	340	674	88	305	20	8	301	21	—	—	—	—	—	—
2011	19	ROK MLE	AZL Giants	—	135	119	25	5	3	1	9	24	3	10	1	210	282	328	610	118	253	18	7	256	59	—	—	—	—	—	—
2011	19	ROK RAW	AZL Giants	—	135	112	31	7	4	1	16	17	3	10	1	277	382	438	819	161	316	13	12	356	59	—	—	—	—	—	—
2012	20	ROK MLE	AZL Giants	—	106	99	18	3	1	0	4	35	1	11	2	182	221	232	453	51	281	33	4	189	14	—	—	—	—	—	—
2012	20	ROK RAW	AZL Giants	—	106	97	24	5	1	0	6	24	1	11	2	247	298	320	618	72	329	23	6	276	14	—	—	—	—	—	—
2013	21	ROK MLE	AZL Giants	—	110	103	22	6	1	1	3	25	3	13	2	214	257	320	577	107	273	23	3	249	55	—	—	—	—	—	—
2013	21	ROK RAW	AZL Giants	—	110	101	31	9	1	2	5	17	3	13	2	307	358	475	833	168	354	15	5	366	55	—	—	—	—	—	—
2014	22	A MLE	Augusta GreenJackets	—	296	276	55	6	4	3	10	71	5	20	5	199	241	283	523	83	256	24	3	223	37	—	—	—	—	—	—
2014	22	A RAW	Augusta GreenJackets	—	296	271	65	8	4	3	15	56	5	20	5	240	292	332	624	92	291	19	5	278	37	—	—	—	—	—	—
2015	23	A MLE	Augusta GreenJackets	—	187	172	39	9	2	2	8	52	6	19	5	227	285	337	622	110	314	28	4	273	71	—	—	—	—	—	—
2015	23	A RAW	Augusta GreenJackets	—	187	167	50	13	3	3	13	39	6	19	5	299	371	467	838	168	376	21	7	371	71	—	—	—	—	—	—
2016	24	A+ MLE	San Jose Giants	—	299	288	57	13	1	3	6	93	1	29	10	198	217	281	498	83	281	31	2	213	30	—	—	—	—	—	—
2016	24	A+ RAW	San Jose Giants	—	299	286	74	17	2	4	8	69	1	29	10	259	281	374	655	115	329	23	3	287	30	—	—	—	—	—	—
2017	25	A MLE	2 teams	—	308	285	64	8	1	5	15	83	3	34	9	225	271	312	583	88	299	27	5	250	56	—	—	—	—	—	—
2017	25	A RAW	2 teams	—	308	276	78	11	1	5	24	60	3	34	9	283	347	384	731	101	346	19	8	326	56	—	—	—	—	—	—
2010	18	ROK MLE	DSL Giants	—	250	227	35	6	0	1	14	62	7	19	6	154	231	194	425	40	199	25	6	199	21	—	—	—	—	—	—
2011	19	ROK MLE	AZL Giants	—	135	122	25	5	3	1	9	24	3	10	1	205	282	320	602	115	237	18	7	256	59	—	—	—	—	—	—
2012	20	ROK MLE	AZL Giants	—	106	100	18	3	1	0	4	35	1	11	2	180	221	230	451	50	261	33	4	189	14	—	—	—	—	—	—
2013	21	ROK MLE	AZL Giants	—	110	103	22	6	1	1	3	25	3	13	2	214	257	320	577	107	262	23	3	249	55	—	—	—	—	—	—
2014	22	A MLE	Augusta GreenJackets	—	296	279	55	6	4	3	10	71	5	20	5	197	241	280	520	82	249	24	3	223	37	—	—	—	—	—	—
2015	23	A MLE	Augusta GreenJackets	—	187	171	39	9	2	2	8	52	6	19	5	228	285	339	624	111	308	28	4	273	71	—	—	—	—	—	—
2016	24	A+ MLE	San Jose Giants	—	299	290	57	13	1	3	6	93	1	29	10	197	217	279	496	83	273	31	2	213	30	—	—	—	—	—	—
2017	25	A MLE	2 teams	—	308	287	64	8	1	5	15	83	3	34	9	223	271	310	581	87	294	27	5	250	56	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1691	1563	315	56	13	16	69	445	29	155	40	202	249	285	533	83	269	26	4	230	42	-117	+15	+0	+6	+37	-6.0
/ 162G	—	MLE		—	650	601	121	22	5	6	27	171	11	60	15	201	249	285	533	83	269	26	4	230	42	-45	+6	+0	+2	+14	-2.3

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 AAugusta GreenJackets · 258 PAwOBA .311 → .244 (−67)K% 19.0% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.99%	÷0.954	×1.340	—	—	26.68%
BB% (unintentional) /PA	8.91%	÷0.997	×0.660	—	×0.960	5.66%
HBP% /PA	0.78%	—	×0.770	—	×0.960	0.57%
Singles /BIP	26.67%	÷1.010	×0.920	×0.978	×0.960	22.82%
Doubles /BIP	5.00%	÷0.989	×0.820	×0.978	×0.960	3.89%
Triples /BIP	0.56%	÷1.016	×0.940	×0.978	×0.960	0.48%
Home runs /BIP	2.22%	÷0.818	×0.820	—	×0.960	2.14%

Factors used: league row SAL. Park (home-season share, regressed): HR 64, 1B 102, 2B 98, 3B 103, K 91, BB 99 — applied at half strength. Age: age 26 vs a level average of 22.0 → −4.0% on BB/HBP/hit rates (4.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .311 → .244; ISO .100 → .085; BABIP .330 → .278. 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).

2017 A+San Jose Giants · 50 PAwOBA .347 → .284 (−63)K% 22.0% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.00%	÷1.018	×1.340	—	—	28.95%
BB% (unintentional) /PA	2.00%	÷0.968	×0.710	—	×0.968	1.42%
HBP% /PA	2.00%	—	×0.790	—	×0.968	1.53%
Singles /BIP	36.11%	÷0.990	×0.910	—	×0.968	32.13%
Doubles /BIP	5.56%	÷1.008	×0.820	—	×0.968	4.37%
Triples /BIP	0.00%	÷0.900	×0.760	—	×0.968	0.00%
Home runs /BIP	2.78%	÷1.010	×0.920	—	×0.968	2.45%

Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 98, 2B 102, 3B 80, K 104, BB 94 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .347 → .284; ISO .106 → .085; BABIP .429 → .374. 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 A+San Jose Giants · 299 PAwOBA .279 → .213 (−66)K% 23.1% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷0.998	×1.340	—	—	30.99%
BB% (unintentional) /PA	2.68%	÷0.992	×0.710	—	×0.978	1.87%
HBP% /PA	0.33%	—	×0.790	—	×0.978	0.26%
Singles /BIP	23.50%	÷1.008	×0.910	×0.955	×0.978	19.82%
Doubles /BIP	7.83%	÷0.951	×0.820	×0.955	×0.978	6.31%
Triples /BIP	0.92%	÷0.900	×0.760	×0.955	×0.978	0.73%
Home runs /BIP	1.84%	÷1.045	×0.920	—	×0.978	1.59%

Factors used: league row CAL. Park (home-season share, regressed): HR 109, 1B 102, 2B 90, 3B 80, K 100, 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 ×0.955.

Result: wOBA .279 → .213; ISO .115 → .088; BABIP .329 → .273. 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 AAugusta GreenJackets · 187 PAwOBA .361 → .273 (−88)K% 20.9% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.86%	÷0.996	×1.340	—	—	28.05%
BB% (unintentional) /PA	6.95%	÷0.989	×0.660	—	×0.980	4.54%
HBP% /PA	3.21%	—	×0.770	—	×0.980	2.42%
Singles /BIP	24.22%	÷0.986	×0.920	×0.951	×0.980	21.04%
Doubles /BIP	10.16%	÷1.055	×0.820	×0.951	×0.980	7.35%
Triples /BIP	2.34%	÷1.150	×0.940	×0.951	×0.980	1.78%
Home runs /BIP	2.34%	÷0.952	×0.820	—	×0.980	1.98%

Factors used: league row SAL. Park (home-season share, regressed): HR 90, 1B 97, 2B 111, 3B 130, K 99, BB 98 — 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 ×0.951.

Result: wOBA .361 → .273; ISO .168 → .123; BABIP .376 → .308. 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 AAugusta GreenJackets · 296 PAwOBA .272 → .223 (−49)K% 18.9% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.92%	÷1.053	×1.340	—	—	24.07%
BB% (unintentional) /PA	5.07%	÷0.966	×0.660	—	×0.990	3.43%
HBP% /PA	1.69%	—	×0.770	—	×0.990	1.29%
Singles /BIP	23.26%	÷1.055	×0.920	×0.985	×0.990	19.79%
Doubles /BIP	3.72%	÷0.979	×0.820	×0.985	×0.990	3.04%
Triples /BIP	1.86%	÷0.934	×0.940	×0.985	×0.990	1.83%
Home runs /BIP	1.40%	÷0.890	×0.820	—	×0.990	1.27%

Factors used: league row SAL. Park (home-season share, regressed): HR 78, 1B 111, 2B 96, 3B 87, K 111, BB 93 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .272 → .223; ISO .092 → .082; BABIP .291 → .249. 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 ROKAZL Giants · 110 PAwOBA .356 → .249 (−107)K% 15.5% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.45%	÷1.000	×1.440	—	—	22.25%
BB% (unintentional) /PA	4.55%	÷1.000	×0.620	—	×0.975	2.75%
HBP% /PA	2.73%	—	×0.720	—	×0.975	1.91%
Singles /BIP	22.62%	÷1.000	×0.820	×0.974	×0.975	17.61%
Doubles /BIP	10.71%	÷1.000	×0.720	×0.974	×0.975	7.33%
Triples /BIP	1.19%	÷1.000	×0.720	×0.974	×0.975	0.81%
Home runs /BIP	2.38%	÷1.000	×0.780	—	×0.975	1.81%

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 ×0.974.

Result: wOBA .356 → .249; ISO .168 → .115; BABIP .354 → .262. 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 ROKAZL Giants · 106 PAwOBA .269 → .189 (−79)K% 22.6% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.64%	÷1.000	×1.440	—	—	32.60%
BB% (unintentional) /PA	5.66%	÷1.000	×0.620	—	×0.985	3.46%
HBP% /PA	0.94%	—	×0.720	—	×0.985	0.67%
Singles /BIP	24.66%	÷1.000	×0.820	×1.012	×0.985	20.15%
Doubles /BIP	6.85%	÷1.000	×0.720	×1.012	×0.985	4.92%
Triples /BIP	1.37%	÷1.000	×0.720	×1.012	×0.985	0.98%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.985	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 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 ×1.012.

Result: wOBA .269 → .189; ISO .072 → .048; BABIP .329 → .261. 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 ROKAZL Giants · 135 PAwOBA .348 → .256 (−91)K% 12.6% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.59%	÷1.000	×1.440	—	—	18.13%
BB% (unintentional) /PA	11.11%	÷1.000	×0.620	—	×0.995	6.85%
HBP% /PA	2.22%	—	×0.720	—	×0.995	1.59%
Singles /BIP	20.00%	÷1.000	×0.820	×0.964	×0.995	15.74%
Doubles /BIP	7.37%	÷1.000	×0.720	×0.964	×0.995	5.09%
Triples /BIP	4.21%	÷1.000	×0.720	×0.964	×0.995	2.91%
Home runs /BIP	1.05%	÷1.000	×0.780	—	×0.995	0.82%

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 ×0.964.

Result: wOBA .348 → .256; ISO .161 → .118; BABIP .316 → .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).