Cristian Santana

Pos3B

B/TR/R

Born1997-02-24

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	24	AAAOklahoma City…	347	.311/.335/.444	8	0	97	—	.299/.318/.407
2022	25	AAACIN	504	.271/.330/.392	11	1	65	—	.237/.282/.316
2024	27	AA/INTL2 orgs	329	.271/.340/.407	9	1	102	—	.180/.219/.279

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	DSL Dodgers	—	126	118	24	7	1	0	6	29	0	2	2	203	242	280	522	76	267	23	5	232	-10	—	—	—	—	—	—
2015	18	ROK	DSL Dodgers	—	235	217	60	13	0	3	16	35	1	3	6	276	329	378	707	101	318	15	7	318	24	—	—	—	—	—	—
2016	19	ROK	AZL Dodgers	—	180	172	44	6	2	8	5	46	1	0	1	256	281	453	734	198	300	26	3	317	34	—	—	—	—	—	—
2017	20	A	Great Lakes Loons	—	180	174	56	9	0	5	5	42	0	0	1	322	341	460	801	138	398	23	3	353	82	—	—	—	—	—	—
2017	20	ROK	Ogden Raptors	—	48	41	22	2	1	5	6	6	0	0	0	537	596	1.000	1.596	463	548	12	12	655	229	—	—	—	—	—	—
2018	21	A+	Rancho Cucamonga Quakes	—	580	548	150	23	0	24	20	143	5	2	2	274	305	447	752	173	325	25	3	328	57	—	—	—	—	—	—
2018	21	INTL	Estrellas Orientales	—	70	66	19	5	1	0	4	18	0	0	0	288	329	394	723	106	396	26	6	323	105	—	—	—	—	—	—
2019	22	AA	Tulsa Drillers	—	413	399	120	22	1	10	10	88	2	0	0	301	321	436	757	135	363	21	2	334	68	—	—	—	—	—	—
2019	22	INTL	Estrellas Orientales	—	43	42	5	0	0	0	1	7	0	0	0	119	140	119	259		143	16	2	121	-32	—	—	—	—	—	—
2020	23	INTL	Estrellas Orientales	—	18	15	3	0	0	0	3	6	0	0	0	200	333	200	533		333	33	17	267	67	—	—	—	—	—	—
2021	24	AAA	Oklahoma City Dodgers	—	347	331	103	20	0	8	11	68	1	0	2	311	335	444	779	133	367	20	3	342	97	—	—	—	—	—	—
2022	25	AAA	Louisville Bats	—	504	457	124	22	0	11	35	112	5	1	4	271	330	392	722	120	331	22	7	321	65	—	—	—	—	—	—
2024	27	AA	Tulsa Drillers	—	64	59	13	1	1	1	5	18	0	0	1	220	281	322	603	102	300	28	8	274	21	—	—	—	—	—	—
2024	27	INTL	Tomateros de Culiacan	—	265	236	67	10	0	8	24	51	2	1	2	284	355	428	783	144	328	19	9	347	121	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	17	ROK MLE	DSL Dodgers	—	126	120	16	4	1	0	4	35	0	2	2	133	161	183	345	50	184	28	3	153	-10	—	—	—	—	—	—
2015	18	ROK MLE	DSL Dodgers	—	235	222	40	8	0	1	11	43	1	3	6	180	222	230	452	50	216	18	5	204	24	—	—	—	—	—	—
2016	19	ROK MLE	AZL Dodgers	—	180	174	31	4	1	5	3	66	1	0	1	178	197	299	495	121	244	37	2	218	34	—	—	—	—	—	—
2017	20	A MLE	Great Lakes Loons	—	180	176	49	7	0	4	3	58	0	0	1	278	291	386	677	108	386	32	2	290	82	—	—	—	—	—	—
2017	20	ROK MLE	Ogden Raptors	—	48	44	18	1	1	4	3	9	0	0	0	409	447	750	1.197	341	421	19	6	507	229	—	—	—	—	—	—
2018	21	A+ MLE	Rancho Cucamonga Quakes	—	580	554	119	16	0	19	14	200	5	2	2	215	241	347	587	132	286	34	2	253	57	—	—	—	—	—	—
2019	22	AA MLE	Tulsa Drillers	—	413	402	101	16	1	9	7	113	2	0	0	251	268	363	631	112	322	27	2	269	68	—	—	—	—	—	—
2021	24	AAA MLE	Oklahoma City Dodgers	—	347	334	100	18	0	6	8	82	1	0	2	299	318	407	725	108	370	24	2	312	97	—	—	—	—	—	—
2022	25	AAA MLE	Louisville Bats	—	504	468	111	19	0	6	24	141	5	1	4	237	282	316	598	79	313	28	5	265	65	—	—	—	—	—	—
2024	27	AA MLE	Tulsa Drillers	—	64	61	11	1	1	1	3	23	0	0	1	180	219	279	497	98	255	36	5	199	21	—	—	—	—	—	—
2014	17	ROK MLE	DSL Dodgers	—	126	120	16	4	1	0	4	35	0	2	2	133	161	183	345	50	186	28	3	153	-10	—	—	—	—	—	—
2014	17	ROK RAW	DSL Dodgers	—	126	118	24	7	1	0	6	29	0	2	2	203	242	280	522	76	267	23	5	232	-10	—	—	—	—	—	—
2015	18	ROK MLE	DSL Dodgers	—	235	222	40	8	0	1	11	43	1	3	6	180	222	230	452	50	219	18	5	204	24	—	—	—	—	—	—
2015	18	ROK RAW	DSL Dodgers	—	235	217	60	13	0	3	16	35	1	3	6	276	329	378	707	101	318	15	7	318	24	—	—	—	—	—	—
2016	19	ROK MLE	AZL Dodgers	—	180	174	31	4	1	5	3	66	1	0	1	178	197	299	495	121	248	37	2	218	34	—	—	—	—	—	—
2016	19	ROK RAW	AZL Dodgers	—	180	172	44	6	2	8	5	46	1	0	1	256	281	453	734	198	300	26	3	317	34	—	—	—	—	—	—
2017	20	A MLE	2 teams	—	228	220	67	8	1	8	6	66	0	0	1	305	323	459	782	155	399	29	3	336	113	—	—	—	—	—	—
2017	20	A RAW	2 teams	—	228	215	78	11	1	10	11	48	0	0	1	363	394	563	957	200	428	21	5	416	113	—	—	—	—	—	—
2018	21	A+ MLE	2 teams	—	650	622	133	18	0	21	16	224	5	2	2	214	240	344	584	130	292	34	2	253	57	—	—	—	—	—	—
2018	21	A+ RAW	2 teams	—	650	614	169	28	1	24	24	161	5	2	2	275	308	441	749	166	333	25	4	328	57	—	—	—	—	—	—
2019	22	AA MLE	2 teams	—	456	444	110	18	1	9	8	124	2	0	0	248	264	354	618	106	323	27	2	269	68	—	—	—	—	—	—
2019	22	AA RAW	2 teams	—	456	441	125	22	1	10	11	95	2	0	0	283	304	406	710	122	340	21	2	314	68	—	—	—	—	—	—
2020	23	INTL MLE	Estrellas Orientales	—	18	15	3	0	0	0	3	6	0	0	0	200	333	200	533		333	33	17	—	—	—	—	—	—	—	—
2020	23	INTL RAW	Estrellas Orientales	—	18	15	3	0	0	0	3	6	0	0	0	200	333	200	533		333	33	17	267	67	—	—	—	—	—	—
2021	24	AAA MLE	Oklahoma City Dodgers	—	347	334	100	18	0	6	8	82	1	0	2	299	318	407	725	108	376	24	2	312	97	—	—	—	—	—	—
2021	24	AAA RAW	Oklahoma City Dodgers	—	347	331	103	20	0	8	11	68	1	0	2	311	335	444	779	133	367	20	3	342	97	—	—	—	—	—	—
2022	25	AAA MLE	Louisville Bats	—	504	468	111	19	0	6	24	141	5	1	4	237	282	316	598	79	320	28	5	265	65	—	—	—	—	—	—
2022	25	AAA RAW	Louisville Bats	—	504	457	124	22	0	11	35	112	5	1	4	271	330	392	722	120	331	22	7	321	65	—	—	—	—	—	—
2024	27	INTL MLE	2 teams	—	329	307	52	4	4	3	17	118	2	1	3	169	218	238	456	68	259	36	5	199	21	—	—	—	—	—	—
2024	27	INTL RAW	2 teams	—	329	295	80	11	1	9	29	69	2	1	3	271	340	407	747	136	323	21	9	333	21	—	—	—	—	—	—
2014	17	ROK MLE	DSL Dodgers	—	126	121	16	4	1	0	4	35	0	2	2	132	161	182	343	50	184	28	3	153	-10	—	—	—	—	—	—
2015	18	ROK MLE	DSL Dodgers	—	235	221	40	8	0	1	11	43	1	3	6	181	222	231	453	50	216	18	5	204	24	—	—	—	—	—	—
2016	19	ROK MLE	AZL Dodgers	—	180	174	31	4	1	5	3	66	1	0	1	178	197	299	495	121	244	37	2	218	34	—	—	—	—	—	—
2017	20	A MLE	2 teams	—	228	220	67	8	1	8	6	66	0	0	1	305	323	459	782	155	393	29	3	336	113	—	—	—	—	—	—
2018	21	A+ MLE	2 teams	—	650	624	133	18	0	21	16	224	5	2	2	213	240	343	582	130	286	34	2	253	57	—	—	—	—	—	—
2019	22	AA MLE	2 teams	—	456	443	110	18	1	9	8	124	2	0	0	248	264	354	619	106	322	27	2	269	68	—	—	—	—	—	—
2021	24	AAA MLE	Oklahoma City Dodgers	—	347	335	100	18	0	6	8	82	1	0	2	299	318	406	724	107	370	24	2	312	97	—	—	—	—	—	—
2022	25	AAA MLE	Louisville Bats	—	504	470	111	19	0	6	24	141	5	1	4	236	282	315	597	79	313	28	5	265	65	—	—	—	—	—	—
2024	27	INTL MLE	2 teams	—	329	307	52	4	4	3	17	118	2	1	3	169	218	238	456	68	255	36	5	199	21	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	INTL MLE	2 teams	—	329	307	52	4	4	3	17	118	2	1	3	169	218	238	456	68	255	36	5	199	21	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3073	2926	663	101	8	59	100	905	17	9	21	227	256	327	583	100	304	29	3	253	57	-156	-7	+0	+11	+67	-8.7
/ 162G	—	MLE		—	650	619	140	21	2	12	21	191	4	2	4	226	256	325	581	99	303	29	3	253	57	-33	-1	+0	+2	+14	-1.8

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.

2024 AATulsa Drillers · 64 PAwOBA .267 → .199 (−68)K% 28.1% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.12%	÷0.959	×1.220	—	—	35.76%
BB% (unintentional) /PA	7.81%	÷1.048	×0.700	—	×0.978	5.11%
HBP% /PA	0.00%	—	×0.870	—	×0.978	0.00%
Singles /BIP	24.39%	÷1.042	×0.920	—	×0.978	21.05%
Doubles /BIP	2.44%	÷1.003	×0.840	—	×0.978	2.00%
Triples /BIP	2.44%	÷1.142	×0.940	—	×0.978	1.96%
Home runs /BIP	2.44%	÷1.063	×0.800	—	×0.978	1.79%

Factors used: league row TL. Park (home-season share, regressed): HR 113, 1B 108, 2B 101, 3B 128, K 92, 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).

Result: wOBA .267 → .199; ISO .102 → .073; BABIP .300 → .255. 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).

2022 AAALouisville Bats · 504 PAwOBA .316 → .265 (−51)K% 22.2% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.958	×1.200	—	—	27.85%
BB% (unintentional) /PA	6.94%	÷1.023	×0.690	—	×1.033	4.84%
HBP% /PA	0.99%	—	×0.940	—	×1.033	0.96%
Singles /BIP	26.38%	÷0.996	×0.930	×1.007	×1.033	25.63%
Doubles /BIP	6.38%	÷0.955	×0.830	×1.007	×1.033	5.77%
Triples /BIP	0.00%	÷0.900	×0.970	×1.007	×1.033	0.00%
Home runs /BIP	3.19%	÷1.282	×0.700	—	×1.033	1.80%

Factors used: league row International League. Park (home-season share, regressed): HR 156, 1B 99, 2B 91, 3B 80, K 92, BB 105 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .316 → .265; ISO .120 → .082; BABIP .331 → .313. 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).

2021 AAAOklahoma City Dodgers · 347 PAwOBA .336 → .312 (−24)K% 19.6% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.60%	÷0.994	×1.200	—	—	23.65%
BB% (unintentional) /PA	3.17%	÷1.015	×0.690	—	×1.048	2.26%
HBP% /PA	0.29%	—	×0.940	—	×1.048	0.28%
Singles /BIP	28.52%	÷0.958	×0.930	×1.021	×1.048	29.61%
Doubles /BIP	7.60%	÷0.941	×0.830	×1.021	×1.048	7.18%
Triples /BIP	0.00%	÷0.900	×0.920	×1.021	×1.048	0.00%
Home runs /BIP	3.04%	÷1.016	×0.700	—	×1.048	2.20%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .336 → .312; ISO .133 → .107; BABIP .367 → .370. 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).

2019 AATulsa Drillers · 413 PAwOBA .326 → .269 (−56)K% 21.3% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.31%	÷0.954	×1.220	—	—	27.26%
BB% (unintentional) /PA	2.42%	÷1.063	×0.700	—	×1.042	1.66%
HBP% /PA	0.48%	—	×0.870	—	×1.042	0.44%
Singles /BIP	27.97%	÷0.997	×0.920	×0.950	×1.042	25.54%
Doubles /BIP	7.07%	÷1.048	×0.840	×0.950	×1.042	5.61%
Triples /BIP	0.32%	÷0.925	×0.940	×0.950	×1.042	0.32%
Home runs /BIP	3.22%	÷0.909	×0.800	—	×1.042	2.95%

Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 99, 2B 110, 3B 85, K 91, BB 113 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .326 → .269; ISO .135 → .110; BABIP .363 → .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).

2018 A+Rancho Cucamonga Quakes · 580 PAwOBA .322 → .253 (−70)K% 24.7% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.66%	÷0.957	×1.340	—	—	34.53%
BB% (unintentional) /PA	3.45%	÷1.066	×0.710	—	×1.027	2.36%
HBP% /PA	0.86%	—	×0.790	—	×1.027	0.70%
Singles /BIP	25.43%	÷1.025	×0.910	×1.000	×1.027	23.20%
Doubles /BIP	5.68%	÷1.076	×0.820	×1.000	×1.027	4.45%
Triples /BIP	0.00%	÷1.150	×0.760	×1.000	×1.027	0.00%
Home runs /BIP	5.93%	÷1.058	×0.920	—	×1.027	5.29%

Factors used: league row CAL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 130, K 91, BB 113 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .322 → .253; ISO .173 → .134; BABIP .325 → .286. 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 AGreat Lakes Loons · 180 PAwOBA .344 → .290 (−54)K% 23.3% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.33%	÷0.990	×1.360	—	—	32.06%
BB% (unintentional) /PA	2.78%	÷1.048	×0.690	—	×1.030	1.88%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	31.82%	÷0.965	×0.920	×1.018	×1.030	31.80%
Doubles /BIP	6.82%	÷1.013	×0.830	×1.018	×1.030	5.86%
Triples /BIP	0.00%	÷1.013	×0.910	×1.018	×1.030	0.00%
Home runs /BIP	3.79%	÷0.970	×0.800	—	×1.030	3.22%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 93, 2B 103, 3B 103, K 98, BB 110 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .344 → .290; ISO .138 → .106; BABIP .398 → .386. 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 ROKOgden Raptors · 48 PAwOBA .649 → .507 (−142)K% 12.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.000	×1.440	—	—	18.00%
BB% (unintentional) /PA	10.42%	÷1.000	×0.610	—	×0.995	6.32%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	40.00%	÷1.000	×0.820	—	×0.995	32.64%
Doubles /BIP	5.71%	÷1.000	×0.720	—	×0.995	4.09%
Triples /BIP	2.86%	÷1.000	×0.720	—	×0.995	2.05%
Home runs /BIP	14.29%	÷1.000	×0.750	—	×0.995	10.66%

Factors used: league row PIO. 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).

Result: wOBA .649 → .507; ISO .463 → .356; BABIP .548 → .421. 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 ROKAZL Dodgers · 180 PAwOBA .312 → .218 (−93)K% 25.6% → 36.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.56%	÷1.000	×1.440	—	—	36.80%
BB% (unintentional) /PA	2.78%	÷1.000	×0.620	—	×1.008	1.74%
HBP% /PA	0.56%	—	×0.720	—	×1.008	0.40%
Singles /BIP	22.22%	÷1.000	×0.820	×1.029	×1.008	18.89%
Doubles /BIP	4.76%	÷1.000	×0.720	×1.029	×1.008	3.55%
Triples /BIP	1.59%	÷1.000	×0.720	×1.029	×1.008	1.18%
Home runs /BIP	6.35%	÷1.000	×0.780	—	×1.008	4.99%

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 ×1.029.

Result: wOBA .312 → .218; ISO .198 → .134; BABIP .300 → .244. 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 — .