Cristian Santana

Cristian SantanaSS West Michigan Whitecaps

Age 22 R/R 5'11" / 165 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION354 act + 10 ros · stats below = ROS only

showingROS

wRC+†71

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP201

ISO144

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Tools · ContractCON 25 / POW 50

Toolsscout grade

CONTACT25

scouting grade only

POWER50

scouting grade only

EYE60

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Arb-1	$2M	+0.4	$0.9M	+$0.0M (cut)
2034	Arb-2	$3M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$6M	+$3M

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)
2021	17	ROK	DSL Tigers	—	216	171	46	12	2	9	30	46	15	12	7	269	421	520	942	251	319	21	14	417	169	+18	-0	—	—	+5	2.2
2022	18	A	Lakeland Flying Tigers	—	340	265	57	13	0	9	54	88	18	10	5	215	383	366	749	151	281	26	16	347	121	+9	+0	—	—	+7	1.6
2023	19	A	Lakeland Flying Tigers	—	419	308	48	12	0	12	91	116	14	6	5	156	370	312	682	156	194	28	22	324	106	+3	-1	—	—	+9	1.1
2024	20	A	Lakeland Flying Tigers	—	207	147	22	3	0	7	49	69	4	1	2	150	375	313	688	163	195	33	24	321	103	+1	-1	—	—	+4	0.5
2024	20	ROK	FCL Tigers	—	22	15	3	0	0	1	3	5	3	0	0	200	429	400	829	200	200	23	14	372	138	+1	+0	—	—	+0	0.2
2025	21	A	Lakeland Flying Tigers	—	394	302	59	11	1	15	76	98	12	7	1	195	377	387	764	192	228	25	19	350	123	+11	+1	—	—	+9	2.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Tigers	—	216	182	32	7	1	7	19	66	15	12	7	176	306	341	646	165	222	31	9	281	76	-6	-0	—	—	+5	-0.2
2022	18	A MLE	Lakeland Flying Tigers	—	340	279	43	11	0	5	40	127	18	10	5	154	300	247	547	93	244	37	12	260	62	-15	+0	—	—	+7	-0.8
2023	19	A MLE	Lakeland Flying Tigers	—	419	336	37	9	0	8	63	169	14	6	5	110	276	208	484	98	170	40	15	237	47	-27	-1	—	—	+9	-1.9
2024	20	A MLE	Lakeland Flying Tigers	—	207	161	17	2	0	5	35	95	4	1	2	106	280	211	491	106	162	46	17	241	49	-13	-1	—	—	+4	-0.9
2024	20	ROK MLE	FCL Tigers	—	22	16	3	0	0	1	2	7	3	0	0	188	381	375	756	188	163	32	9	292	84	-0	+0	—	—	+0	0.0
2025	21	A MLE	Lakeland Flying Tigers	—	394	319	48	9	1	14	59	139	12	7	1	150	305	317	622	166	195	35	15	284	78	-10	+1	—	—	+9	-0.1
2021	17	ROK MLE	DSL Tigers	—	216	182	32	7	1	7	19	66	15	12	7	176	306	341	646	165	229	31	9	281	76	—	—	—	—	—	—
2021	17	ROK RAW	DSL Tigers	—	216	171	46	12	2	9	30	46	15	12	7	269	421	520	942	251	319	21	14	417	76	—	—	—	—	—	—
2022	18	A MLE	Lakeland Flying Tigers	—	340	279	43	11	0	5	40	127	18	10	5	154	300	247	547	93	253	37	12	260	62	—	—	—	—	—	—
2022	18	A RAW	Lakeland Flying Tigers	—	340	265	57	13	0	9	54	88	18	10	5	215	383	366	749	151	281	26	16	347	62	—	—	—	—	—	—
2023	19	A MLE	Lakeland Flying Tigers	—	419	336	37	9	0	8	63	169	14	6	5	110	276	208	484	98	176	40	15	237	47	—	—	—	—	—	—
2023	19	A RAW	Lakeland Flying Tigers	—	419	308	48	12	0	12	91	116	14	6	5	156	370	312	682	156	194	28	22	324	47	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	229	178	20	2	0	6	36	103	7	1	2	112	285	225	510	112	184	45	16	246	53	—	—	—	—	—	—
2024	20	A RAW	2 teams	—	229	162	25	3	0	8	52	74	7	1	2	154	380	321	701	167	195	32	23	326	53	—	—	—	—	—	—
2025	21	A MLE	Lakeland Flying Tigers	—	394	319	48	9	1	14	59	139	12	7	1	150	305	317	622	166	200	35	15	284	78	—	—	—	—	—	—
2025	21	A RAW	Lakeland Flying Tigers	—	394	302	59	11	1	15	76	98	12	7	1	195	377	387	764	192	228	25	19	350	78	—	—	—	—	—	—
2021	17	ROK MLE	DSL Tigers	—	216	180	32	7	1	7	19	66	15	12	7	178	306	344	650	167	222	31	9	281	76	—	—	—	—	—	—
2022	18	A MLE	Lakeland Flying Tigers	—	340	279	43	11	0	5	40	127	18	10	5	154	300	247	547	93	244	37	12	260	62	—	—	—	—	—	—
2023	19	A MLE	Lakeland Flying Tigers	—	419	339	37	9	0	8	63	169	14	6	5	109	276	206	483	97	170	40	15	237	47	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	229	184	20	2	0	6	36	103	7	1	2	109	285	217	502	109	162	45	16	246	53	—	—	—	—	—	—
2025	21	A MLE	Lakeland Flying Tigers	—	394	320	48	9	1	14	59	139	12	7	1	150	305	316	621	166	195	35	15	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Lakeland Flying Tigers	—	419	339	37	9	0	8	63	169	14	6	5	109	276	206	483	97	170	40	15	237	47	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	229	184	20	2	0	6	36	103	7	1	2	109	285	217	502	109	162	45	16	246	53	—	—	—	—	—	—
2025	21	A MLE	Lakeland Flying Tigers	—	394	320	48	9	1	14	59	139	12	7	1	150	305	316	621	166	195	35	15	284	78	—	—	—	—	—	—
YTD	22	A+ MLE	DET	—	354	299	46	5	1	13	38	124	11	5	0	154	273	308	581	154	200	35	11	254	58	-18	+1	+0	+4	+8	-0.5
▸ 2026 season
YTD	22	A+ RAW	DET	—	354	283	56	6	1	16	54	92	11	5	0	198	348	396	743	198	225	26	15	334	58	—	—	—	—	—	—
ROS	22	A+ MLE	DET	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		205	30	10	273	71	-0	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	DET	—	364	308	47	5	1	13	39	127	11	5	0	153	271	302	573	149	199	35	11	255	58	-18	+1	+0	+4	+8	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	DET	43%	438	370	61	9	1	15	54	144	11	4	1	165	290	316	606	151	216	33	12	280	76	-13	+0	+0	+5	+9	0.2
2028	24	MLB MLE	DET	58%	488	415	72	11	1	17	59	155	11	5	1	173	293	328	620	154	224	32	12	287	81	-11	+1	+0	+5	+11	0.5
2029	25	MLB MLE	DET	65%	515	436	78	12	1	19	62	160	12	5	1	179	298	342	640	163	229	31	12	292	84	-10	+1	+0	+6	+11	0.7
2030	26	MLB MLE	DET	68%	530	449	81	13	1	19	64	164	12	5	1	180	299	341	640	160	231	31	12	294	85	-9	+1	+0	+6	+11	0.8
2031	27	MLB MLE	DET	68%	535	453	82	13	1	19	65	166	12	5	1	181	300	340	640	159	230	31	12	294	85	-9	+1	+0	+6	+12	0.9
2032	28	MLB MLE	DET	68%	533	451	81	13	1	19	65	166	12	5	1	180	299	339	638	160	230	31	12	293	85	-10	+1	-1	+6	+12	0.8
2033	29	MLB MLE	DET	66%	526	445	79	12	1	19	64	165	12	4	1	178	298	337	635	160	229	31	12	291	83	-10	+0	-1	+6	+11	0.6
2034	30	MLB MLE	DET	71%	516	436	77	12	1	18	63	163	12	4	1	177	297	333	630	156	228	32	12	289	82	-11	+0	-2	+6	+11	0.4
2035	31	MLB MLE	DET	75%	503	425	74	11	1	17	62	160	11	3	1	174	295	325	620	151	225	32	12	285	79	-12	+0	-3	+5	+11	0.1
2036	32	MLB MLE	DET	77%	485	412	69	10	1	16	59	157	11	3	0	167	288	313	601	146	222	32	12	280	76	-14	+1	-4	+5	+11	-0.1
2027	23	MLB CTX	DET	43%	190	160	25	4	0	6	23	63	5	2	0	156	282	294	576	138	212	33	12	258	76	-5	+0	+0	+2	+4	0.1
2028	24	MLB CTX	DET	58%	283	240	41	6	1	10	34	90	7	3	0	171	292	329	621	158	220	32	12	265	81	-6	+1	+0	+3	+6	0.3
2029	25	MLB CTX	DET	65%	334	283	51	8	1	12	40	104	8	3	1	180	299	343	642	163	224	31	12	270	84	-7	+0	+0	+4	+7	0.5
2030	26	MLB CTX	DET	68%	361	307	55	8	1	13	43	112	8	3	1	179	296	339	635	160	226	31	12	272	85	-6	+0	+0	+4	+8	0.6
2031	27	MLB CTX	DET	68%	364	309	56	9	1	13	44	113	8	3	1	181	299	343	642	162	226	31	12	272	85	-6	+0	+0	+4	+8	0.6
2032	28	MLB CTX	DET	68%	362	307	54	8	1	13	44	113	8	3	1	176	295	336	631	160	226	31	12	272	85	-7	+0	-0	+4	+8	0.5
2033	29	MLB CTX	DET	66%	349	295	52	8	1	12	43	109	8	3	0	176	298	332	630	156	225	31	12	270	83	-7	+1	-1	+4	+8	0.4
2034	30	MLB CTX	DET	71%	368	312	54	8	1	12	45	116	8	3	0	173	293	321	614	147	224	32	12	268	82	-8	+1	-1	+4	+8	0.3
2035	31	MLB CTX	DET	75%	376	319	54	8	1	12	46	120	8	2	0	169	290	313	603	144	221	32	12	264	79	-9	+0	-2	+4	+8	0.1
2036	32	MLB CTX	DET	77%	373	316	53	8	1	12	46	120	8	2	0	168	289	313	602	146	218	32	12	260	76	-11	+0	-3	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3360	2848	495	75	9	115	408	1060	76	27	4	174	294	328	621	154	225	32	12	267	77	-73	+4	-8	+36	+73	3.3
/ 162G	—	A+C		—	650	551	96	15	2	22	79	205	15	5	1	174	295	328	623	154	226	32	12	267	77	-14	+1	-1	+7	+14	0.6
Career	—	MLE		—	6677	5595	935	154	12	218	835	2207	182	79	29	167	295	316	611	149	223	33	13	282	77	-111	+5	-10	+54	+110	4.9
/ 162G	—	MLE		—	650	545	91	15	1	21	81	215	18	8	3	167	295	314	609	147	223	33	12	282	77	-14	+1	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#4Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,362	119	28	178	294	336	+36	+21	5.7	5.3
/162	664	23	6	+7.1	+4.1	1.1	pk7: 5
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4

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)	22	25	50	45	60	153/282/298	146	205	11	4	35%	12%	71	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Williams 2019 · A	22	38→32	53→55	47→40	47	207/281/370	163	255	22	4	29%	9%	84	+0.1	181/271/318	137	279	15	4	37%	11%	68	-1.0	176/260/345	169	249	23	4	38%	9%	68	-0.7
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	181/247/307	126	264	15	5	36%	7%	56	-1.9	209/267/324	115	285	12	4	30%	7%	67	-1.1	208/268/318	109	276	12	2	28%	7%	64	-0.6
✕Freuddy Batista 2022 · A	22	38	51→50	46→40	41	204/266/362	158	277	19	7	33%	7%	76	-0.4	205/266/337	132	302	13	6	35%	6%	70	-0.8	206/257/336	130	270	16	4	30%	4%	63	-0.6
✕Darrien Miller 2023 · A	22	38→41	47→45	50→45	48	196/307/325	129	265	16	7	30%	10%	84	+0.2	187/296/284	97	258	8	5	29%	10%	71	-0.8	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Kevin Padlo 2018 · A	22	36→40	45→50	44→50	47	182/268/311	128	259	12	8	33%	10%	65	-1.2	195/278/338	143	287	14	9	35%	9%	75	-0.5	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Colton Shaver 2019 · A	23	36→32	50	43→30	42	194/265/340	146	254	18	4	31%	7%	71	-0.8	190/269/339	149	282	18	3	37%	8%	72	-0.7	163/256/314	151	249	20	0	41%	9%	58	-1.0
✕Allan Cerda 2023 · AA	23	33→23	52→50	42→45	44	178/279/345	167	274	20	6	40%	10%	78	-0.3	175/269/320	145	289	17	8	42%	10%	68	-1.0	136/244/274	138	217	18	8	43%	11%	46	-0.8
✕Sherten Apostel 2020 · A	21	38→34	47→50	45→40	44	195/269/325	130	273	16	4	33%	8%	68	-1.0	202/265/327	125	312	14	4	37%	7%	67	-1.1	200/262/331	131	310	15	0	38%	6%	63	-0.6
✕Wes Clarke 2023 · AA	23	36→38	48→50	41→40	50	188/288/330	142	266	16	3	34%	11%	78	-0.3	197/295/354	157	295	19	5	37%	11%	85	+0.2	188/293/345	157	273	20	4	36%	12%	81	-0.1
✕Ian Rice 2017 · A	23	43→40	47→50	43→30	48	216/294/353	138	287	15	4	29%	9%	84	+0.2	203/288/334	131	275	15	3	30%	10%	78	-0.3	186/276/303	117	251	14	0	30%	10%	64	-0.7
✕Luke Montz 2006 · A	23	35→45	52→55	45→40	44	194/261/363	169	251	20	4	32%	8%	74	-0.5	202/265/346	144	260	16	3	28%	7%	72	-0.7	201/276/399	198	236	27	4	28%	8%	88	+0.3
✕Damiano Palmegiani 2023 · A	23	37→39	54→50	50→40	43	203/278/377	174	253	23	5	30%	7%	84	+0.2	193/272/337	144	269	17	5	33%	8%	73	-0.6	176/262/306	130	252	15	3	34%	8%	60	-1.1
✕Miguel Amaya 2021 · A	22	42→41	46→50	48→40	46	211/282/339	129	262	14	4	25%	7%	77	-0.3	219/310/346	127	298	13	6	29%	9%	89	+0.5	212/319/354	142	290	16	3	30%	10%	93	+0.3
✕Johan Mieses 2017 · A	22	36→33	52→55	44→50	35	198/245/367	169	270	20	8	35%	5%	69	-0.9	184/234/333	149	254	20	4	35%	5%	57	-1.8	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Joe DeCarlo 2017 · A	23	38	45→50	47→30	44	190/278/314	124	278	13	2	34%	9%	70	-0.8	197/273/328	131	280	15	3	33%	8%	71	-0.8	180/256/302	122	254	15	0	34%	7%	56	-0.8
✕Adam Zebrowski 2023 · A	22	41→35	45→50	50→40	46	202/281/326	123	286	12	5	32%	9%	73	-0.6	186/249/301	115	286	13	3	38%	7%	55	-1.9	188/241/319	130	273	18	2	37%	5%	53	-1.3
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕Clint Coulter 2015 · A	22	42→43	48→50	42→40	45	216/296/360	144	279	16	5	28%	8%	86	+0.3	209/274/331	122	267	12	4	26%	6%	72	-0.7	201/269/342	141	247	16	4	25%	5%	69	-0.3
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	274	17	4	28%	9%	84	+0.1	201/278/335	134	291	14	4	33%	9%	74	-0.6	169/258/297	128	251	15	0	37%	11%	56	-1.3
✕Yu Chang 2018 · AA	22	36→44	49→50	49→45	39	193/251/345	152	262	17	9	33%	6%	66	-1.1	207/266/332	125	289	12	7	31%	7%	68	-1.0	212/267/370	158	271	20	6	29%	6%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps