Cristian Santana

Cristian Santana3B Tomateros de Culiacan

Age 29 R/R 6'2" / 175 lbs INTL HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 170 proj PA

wRC+†70

AVG/OBP/SLG.217 / .273 / .328

PA15

HR0

K%31

BB%6

ISO112

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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	43	-8	-0	—	—	+3	-0.6
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	101	+0	-2	—	—	+5	0.4
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	101	+0	-0	—	—	+4	0.4
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	125	+5	-0	—	—	+4	0.9
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	329	+13	+0	—	—	+1	1.4
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	108	+6	-0	—	—	+13	1.8
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	+0	+0	—	—	+2	0.2
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	112	+6	+0	—	—	+9	1.5
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	-7	+0	—	—	+1	-0.6
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	-1	+0	—	—	+0	-0.0
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	117	+7	-1	—	—	+8	1.4
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	103	+2	-1	—	—	+11	1.2
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	71	-2	-0	—	—	+1	-0.1
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	+7	-1	—	—	+6	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	17	ROK MLE	DSL Dodgers	—	126	120	18	5	1	0	4	42	0	2	2	150	177	208	386	58	216	33	3	162	-4	-16	-0	—	—	+3	-1.4
2015	18	ROK MLE	DSL Dodgers	—	235	223	46	9	0	2	10	50	1	3	6	206	244	274	517	67	259	21	4	231	42	-16	-2	—	—	+5	-1.3
2016	19	ROK MLE	AZL Dodgers	—	180	174	31	4	1	5	3	66	1	0	1	178	197	299	495	121	242	37	2	217	33	-14	-0	—	—	+4	-1.1
2017	20	A MLE	Great Lakes Loons	—	180	176	48	7	0	4	3	58	0	0	1	273	285	381	666	108	374	32	2	282	77	-5	-0	—	—	+4	-0.1
2017	20	ROK MLE	Ogden Raptors	—	48	44	18	1	1	4	3	9	0	0	0	409	447	750	1.197	341	423	19	6	509	231	+7	+0	—	—	+1	0.9
2018	21	A+ MLE	Rancho Cucamonga Quakes	—	580	555	117	16	0	19	13	200	5	2	2	211	236	342	578	132	278	34	2	246	53	-33	-0	—	—	+13	-2.1
2019	22	AA MLE	Tulsa Drillers	—	413	402	98	16	1	8	7	113	2	0	0	244	260	348	609	104	316	27	2	263	64	-18	+0	—	—	+9	-0.9
2021	24	AAA MLE	Oklahoma City Dodgers	—	347	334	95	18	0	5	8	82	1	0	2	284	303	383	686	99	353	24	2	298	88	-5	-1	—	—	+8	0.2
2022	25	AAA MLE	Louisville Bats	—	504	468	108	19	0	6	24	141	5	1	4	231	276	310	585	79	303	28	5	257	60	-24	-1	—	—	+11	-1.5
2024	27	AA MLE	Tulsa Drillers	—	64	61	11	1	1	1	3	23	0	0	1	180	219	279	497	98	266	36	5	205	25	-6	-0	—	—	+1	-0.5
2014	17	ROK MLE	DSL Dodgers	—	126	120	18	5	1	0	4	42	0	2	2	150	177	208	386	58	228	33	3	162	-4	—	—	—	—	—	—
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	-4	—	—	—	—	—	—
2015	18	ROK MLE	DSL Dodgers	—	235	223	46	9	0	2	10	50	1	3	6	206	244	274	517	67	257	21	4	231	42	—	—	—	—	—	—
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	42	—	—	—	—	—	—
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	217	33	—	—	—	—	—	—
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	33	—	—	—	—	—	—
2017	20	A MLE	2 teams	—	228	220	66	8	1	8	6	66	0	0	1	300	319	455	773	155	392	29	3	330	109	—	—	—	—	—	—
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	109	—	—	—	—	—	—
2018	21	A+ MLE	2 teams	—	650	623	131	18	0	21	15	224	5	2	2	210	235	340	575	130	286	34	2	246	53	—	—	—	—	—	—
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	53	—	—	—	—	—	—
2019	22	AA MLE	2 teams	—	456	445	109	18	1	9	7	124	2	0	0	245	260	351	610	106	318	27	2	263	64	—	—	—	—	—	—
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	64	—	—	—	—	—	—
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	95	18	0	5	8	82	1	0	2	284	303	383	686	99	359	24	2	298	88	—	—	—	—	—	—
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	88	—	—	—	—	—	—
2022	25	AAA MLE	Louisville Bats	—	504	468	108	19	0	6	24	141	5	1	4	231	276	310	585	79	311	28	5	257	60	—	—	—	—	—	—
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	60	—	—	—	—	—	—
2024	27	INTL MLE	2 teams	—	329	307	54	4	4	3	17	118	2	1	3	176	224	244	468	68	270	36	5	205	25	—	—	—	—	—	—
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	25	—	—	—	—	—	—
2014	17	ROK MLE	DSL Dodgers	—	126	121	18	5	1	0	4	42	0	2	2	149	177	207	384	58	216	33	3	162	-4	—	—	—	—	—	—
2015	18	ROK MLE	DSL Dodgers	—	235	222	46	9	0	2	10	50	1	3	6	207	244	275	518	68	259	21	4	231	42	—	—	—	—	—	—
2016	19	ROK MLE	AZL Dodgers	—	180	174	31	4	1	5	3	66	1	0	1	178	197	299	495	121	242	37	2	217	33	—	—	—	—	—	—
2017	20	A MLE	2 teams	—	228	220	66	8	1	8	6	66	0	0	1	300	319	455	773	155	384	29	3	330	109	—	—	—	—	—	—
2018	21	A+ MLE	2 teams	—	650	625	131	18	0	21	15	224	5	2	2	210	235	339	574	130	278	34	2	246	53	—	—	—	—	—	—
2019	22	AA MLE	2 teams	—	456	444	109	18	1	9	7	124	2	0	0	245	260	351	611	106	316	27	2	263	64	—	—	—	—	—	—
2021	24	AAA MLE	Oklahoma City Dodgers	—	347	335	95	18	0	5	8	82	1	0	2	284	303	382	685	99	353	24	2	298	88	—	—	—	—	—	—
2022	25	AAA MLE	Louisville Bats	—	504	470	108	19	0	6	24	141	5	1	4	230	276	309	584	79	303	28	5	257	60	—	—	—	—	—	—
2024	27	INTL MLE	2 teams	—	329	307	54	4	4	3	17	118	2	1	3	176	224	244	468	68	266	36	5	205	25	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	27	INTL MLE	2 teams	—	329	307	54	4	4	3	17	118	2	1	3	176	224	244	468	68	266	36	5	205	25	—	—	—	—	—	—
▸ 2026 season
2026	29	MLB MLE	LAD	0%	15	14	2	0	0	0	1	5	0	0	0	143	200	143	343		304	33	7	272	70	-1	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	30	MLB MLE	LAD	22%	243	223	49	8	2	5	16	73	2	3	1	220	278	341	619	121	301	30	7	274	72	-8	+0	-2	+1	+5	-0.4
2027	30	MLB CTX	LAD	22%	52	49	10	2	0	1	3	16	0	1	0	204	250	306	556	102	296	31	6	266	72	-2	+0	-0	+0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	52	49	10	2	0	1	3	16	0	1	0	204	250	306	556	102	281	31	6	266	57	-2	+0	-0	+0	+1	-0.1
/ 162G	—	A+C		—	650	612	125	25	0	12	38	200	0	12	0	204	251	304	555	100	282	31	6	266	57	-22	+2	-6	+2	+14	-0.9
Career	—	MLE		—	3331	3166	712	111	10	64	114	997	19	12	22	225	256	327	583	102	304	30	3	252	57	-9	+0	-2	+1	+6	-0.4
/ 162G	—	MLE		—	650	618	139	22	2	12	22	195	4	2	4	225	257	325	582	100	305	30	3	252	57	-22	+1	-5	+2	+14	-1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.3	222	4	3	220	273	332	+1	+0	-0.1	-0.1
/162	664	12	9	+2.4	+1.5	-0.4	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Cristian Santana (OGILVIE)	29	—	—	—	—	217/273/328	111	304	3	2	31%	6%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Cordell 2021 · MLB	29	43	46→50	49→50	42	215/271/341	126	287	13	11	30%	6%	72	-0.7	204/270/355	151	326	19	14	41%	7%	76	-0.4	143/213/283	140	229	22	18	47%	7%	37	-1.2
✕René Rivera 2012 · MLB	29	43→33	45→55	46→30	40	216/259/340	123	270	13	3	25%	5%	68	-1.0	231/281/355	124	284	12	3	22%	6%	79	-0.2	238/298/393	156	304	23	0	29%	6%	88	+0.2
✕Jeff Nettles 2008 · AA	29	44→40	47→50	49→40	40	224/265/356	132	284	15	6	27%	5%	73	-0.6	220/266/364	144	250	18	4	20%	6%	76	-0.4	210/256/355	145	226	20	0	18%	5%	68	-1.0
✕Travis Garcia 2011 · AA	29	45	44→45	48→40	38	223/260/344	121	297	12	8	29%	5%	68	-1.0	242/284/405	163	318	20	10	30%	5%	93	+0.8	236/273/389	152	303	20	5	29%	3%	82	+0.0
✕Adam Fox 2011 · AAA	29	39→44	46→45	49→45	41	202/251/325	124	250	14	9	26%	5%	61	-1.5	201/247/324	123	254	12	9	25%	5%	59	-1.7	178/216/303	125	218	11	6	24%	4%	38	-1.3
✕Brett Carroll 2012 · MLB	29	42→45	47→55	48→50	44	214/281/347	133	264	14	11	25%	6%	78	-0.3	205/271/329	124	273	14	10	29%	7%	70	-0.8	191/262/312	122	255	14	10	30%	8%	60	-1.0
✕Jeff Mathis 2012 · MLB	29	38→46	41→50	43→45	41	191/242/288	96	249	9	6	27%	6%	49	-2.4	204/257/329	125	273	14	4	29%	6%	64	-1.3	210/260/314	105	285	8	1	28%	6%	58	-0.4
✕Joe Hudson 2020 · AAA	29	38	45	47→40	40	197/251/316	119	276	14	4	33%	7%	59	-1.6	196/255/316	120	281	15	5	34%	7%	61	-1.5	175/280/306	130	256	18	8	36%	11%	67	-0.3
✕Stevie Berman 2023 · AAA	28	39	45	48→40	49	198/286/319	122	254	12	5	26%	9%	74	-0.5	216/298/331	115	289	12	7	27%	9%	80	-0.1	197/296/255	58	267	7	0	26%	12%	61	-0.3
✕Tyler Payne 2022 · AA	29	42	42→45	49→40	37	209/252/318	109	290	10	5	31%	5%	59	-1.6	234/273/332	98	317	8	5	27%	5%	70	-0.8	240/276/327	87	311	7	2	24%	4%	66	-0.4
✕David Matranga 2007 · AAA	30	38	44→45	47→50	42	193/261/309	116	251	13	9	28%	6%	61	-1.5	213/285/338	125	283	14	11	28%	7%	78	-0.3	212/294/334	122	284	13	9	28%	8%	78	-0.1
✕Joe DeCarlo 2021 · AA	27	41→38	42→50	47→30	40	199/266/299	100	293	9	5	34%	7%	61	-1.5	202/262/294	92	302	9	7	34%	7%	57	-1.8	164/225/218	54	247	7	0	35%	7%	24	-1.3
✕Kevin Richardson 2010 · AAA	29	36	47→50	44→40	34	190/245/320	130	289	17	3	39%	5%	58	-1.7	203/251/344	141	328	17	5	41%	5%	66	-1.1	194/239/335	141	309	17	2	42%	4%	56	-0.8
✕Camden Duzenack 2023 · AAA	28	39→36	49→50	51→50	37	207/247/351	144	269	17	13	30%	4%	65	-1.2	231/288/355	124	292	12	10	24%	6%	82	-0.0	243/308/345	102	303	9	6	22%	6%	84	+0.1
✕Aaron Sisk 2007 · AA	28	39	49→50	48→45	43	205/263/348	142	263	17	10	29%	7%	71	-0.8	223/279/369	146	284	18	8	27%	7%	82	-0.0	227/285/382	154	278	22	3	26%	6%	86	+0.1
✕Sebastian Valle 2019 · AAA	29	44→46	42→45	48→40	38	213/264/316	103	319	10	7	35%	6%	63	-1.3	233/301/370	137	299	15	7	26%	8%	91	+0.6	229/302/365	137	289	15	4	25%	8%	88	+0.3
✕Melky Mesa 2016 · AAA	29	42→44	43→50	47→55	30	208/241/324	116	317	11	7	37%	3%	56	-1.9	208/252/314	106	312	9	9	35%	4%	58	-1.7	189/233/276	87	285	6	8	34%	4%	38	-1.4
✕Brandon Hicks 2015 · MLB	29	36→40	49→50	46→50	42	189/267/338	149	282	18	7	38%	9%	71	-0.8	189/261/304	115	312	13	8	40%	8%	61	-1.5	166/235/251	85	293	9	8	44%	8%	36	-1.3
✕Chris Rabago 2022 · AAA	29	40	40	47→55	44	198/266/286	88	273	8	13	29%	8%	57	-1.8	201/268/296	95	308	8	10	35%	7%	61	-1.5	157/228/221	64	263	4	5	39%	6%	26	-1.2
✕Quincy Latimore 2017 · AA	28	39→43	46→50	45→50	42	204/258/334	130	266	14	7	29%	6%	65	-1.2	216/265/341	125	294	14	8	30%	6%	70	-0.9	218/256/337	119	286	16	6	29%	4%	62	-1.0

Career Stats + Projections

Career Comps

Career Path Comps