Cristian Santana

Cristian SantanaSS West Michigan Whitecaps

Age 22 R/R 5'11" / 165 lbs A+ HR +5%H +3% Svc 0.0 · Ctrl thru 2035 peak 2.1 · 2031

wRC+†73

AVG/OBP/SLG.167 / .307 / .305

PA320

HR9

K%38

BB%14

MLB%0%

Scouting · now → future

HIT

25→25

PWR

50→50

SPD

45→45

EYE

75↘60

trajectory · 10 yrs

2.1peak

2031

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	+2.0	$18M	+$17M
2031	Pre-Arb	$0.9M	+2.1	$19M	+$19M
2032	Pre-Arb	$0.9M	+1.9	$18M	+$17M
2033	Arb-1	$4M	+1.7	$17M	+$13M
2034	Arb-2	$5M	+1.5	$15M	+$10M
2035	Arb-3	$6M	+1.2	$13M	+$7M
Totals		$17M		$100M	+$83M

Career Projections (MLE)

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	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
2021	17	ROK	DSL Tigers	216	182	31	7	1	7	19	66	15	12	7	.170	.301	.335	.636	.165	.220	31	9	.281	73	-7	-0	+0	+2	+6	0.2
2022	18	A	Lakeland Flying Tigers	340	279	44	11	0	6	40	127	18	10	5	.158	.303	.262	.564	.104	.255	37	12	.263	59	-16	+0	+0	+4	+10	-0.2
2023	19	A	Lakeland Flying Tigers	419	336	37	9	0	8	63	168	14	6	5	.110	.276	.208	.484	.098	.175	40	15	.238	40	-28	-1	+0	+4	+12	-1.3
2024	20	A	2 teams	229	177	20	2	0	6	37	103	7	1	2	.113	.290	.226	.516	.113	.187	45	16	.246	47	-14	-1	+0	+2	+6	-0.6
2025	21	A	Lakeland Flying Tigers	394	319	47	9	0	14	59	139	12	7	1	.147	.303	.307	.610	.160	.194	35	15	.282	74	-12	+1	+0	+4	+11	0.5
▸ 2026 Season (actual · ROS · total)
2026	22	A+	West Michigan Whitecaps	66	52	7	0	1	2	10	24	3	1	0	.135	.308	.288	.596	.154	.185	36	15	.253	52	-4	+0	+0	+1	+2	-0.1
ROS	22	MLB	DET	254	208	34	6	1	7	36	96	8	3	1	.163	.310	.303	.612	.139	.253	38	14	.288	78	-6	+0	+0	+3	+7	0.4
TOT	22	MLB	DET	320	260	41	6	2	9	46	120	11	4	1	.158	.309	.300	.609	.142	.241	38	14	.281	73	-10	+0	+0	+3	+9	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	DET	438	359	64	12	2	13	64	144	12	5	2	.178	.322	.331	.653	.153	.247	33	15	.301	89	-6	+0	+0	+5	+12	1.2
2028	24	MLB 26%	DET	488	402	75	14	2	15	70	155	13	6	2	.187	.326	.343	.669	.157	.252	32	14	.307	93	-4	+0	+0	+5	+14	1.6
2029	25	MLB 44%	DET	515	423	80	15	2	16	74	161	13	7	2	.189	.327	.348	.675	.158	.255	31	14	.311	96	-2	+1	+0	+6	+15	1.9
2030	26	MLB 59%	DET	530	435	83	15	2	17	76	164	14	7	2	.191	.330	.352	.681	.161	.257	31	14	.313	98	-1	+1	+0	+6	+15	2.0
2031	27	MLB 76%	DET	535	438	84	15	2	17	78	166	14	7	2	.192	.332	.352	.684	.160	.257	31	15	.313	98	-1	+1	+0	+6	+15	2.1
2032	28	MLB 84%	DET	533	436	83	15	2	17	78	167	14	6	1	.190	.331	.351	.682	.161	.256	31	15	.312	97	-2	+1	-1	+6	+15	1.9
2033	29	MLB 90%	DET	526	431	81	15	2	16	77	166	13	5	1	.188	.328	.343	.672	.155	.255	32	15	.310	95	-3	+1	-1	+6	+15	1.7
2034	30	MLB	DET	516	422	79	14	2	16	76	164	13	5	1	.187	.329	.344	.672	.156	.253	32	15	.307	93	-4	+1	-2	+6	+15	1.5
2035	31	MLB	DET	503	411	76	14	2	15	74	162	13	3	0	.185	.327	.338	.666	.153	.251	32	15	.303	90	-6	+1	-3	+5	+14	1.2
2036	32	MLB	DET	485	399	71	13	1	14	71	159	12	1	0	.178	.320	.321	.640	.143	.249	33	15	.298	86	-7	+0	-4	+5	+14	0.8
2037	33	MLB	DET	456	376	66	12	1	13	66	153	11	1	0	.176	.316	.316	.632	.141	.247	34	14	.293	82	-9	+0	-4	+5	+13	0.5
2038	34	MLB	DET	410	338	57	10	1	11	59	141	10	1	0	.169	.310	.302	.611	.133	.244	34	14	.286	77	-10	+0	-5	+4	+12	0.1
2039	35	MLB	DET	356	293	48	8	1	9	51	126	9	0	0	.164	.306	.290	.596	.126	.241	35	14	.279	72	-11	+0	-6	+4	+10	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			8143	6664	1160	216	24	237	1168	2727	235	93	34	.174	.318	.320	.638	.146	.246	33	14	.295	84	-150	+5	-25	+87	+231	15.1
/ 162G	—			650	532	93	17	2	19	93	218	19	7	3	.175	.318	.321	.640	.147	.247	34	14	.295	84	-12	+0	-2	+7	+18	1.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	177	+19	-0	—	—	+6	2.5
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	124	+9	+0	—	—	+10	1.9
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	—	—	+12	1.4
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	104	+1	-1	—	—	+6	0.6
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	143	+1	+0	—	—	+1	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	126	+11	+1	—	—	+11	2.4

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	.167/.307/.305	.138	.263	9	3	38%	14%	79	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Williams 2021 · A	24	35→31	51→55	49→40	49	.190/.278/.345	.156	.259	19	4	33%	10%	74	-0.1	.188/.269/.345	.157	.295	20	4	40%	10%	70	-0.3	.180/.262/.367	.188	.250	27	4	39%	9%	71	-0.2
✕Marcus Greene Jr. 2017 · A	22	35	46→50	45→40	40	.185/.251/.313	.128	.265	15	5	35%	7%	53	-1.5	.209/.268/.329	.120	.279	13	4	28%	7%	65	-0.7	.211/.271/.321	.110	.275	12	2	27%	7%	61	-0.4
✕Kevin Padlo 2018 · A	22	36→40	45→55	44→50	48	.184/.270/.312	.128	.257	13	8	32%	10%	62	-0.9	.195/.278/.343	.148	.287	15	8	35%	9%	73	-0.1	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Max Stassi 2013 · A	22	41→43	47→55	43→40	40	.210/.270/.343	.133	.290	15	4	32%	6%	69	-0.4	.216/.264/.358	.142	.286	17	3	30%	5%	70	-0.3	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Allan Cerda 2023 · AA	23	34→24	54→55	42→45	44	.185/.283/.363	.179	.280	22	6	40%	10%	82	+0.5	.175/.270/.329	.154	.291	19	8	43%	10%	67	-0.5	.135/.241/.280	.145	.220	20	8	45%	10%	40	-0.8
✕Eric Haase 2015 · A	22	39→41	48→65	42→40	38	.201/.253/.347	.146	.286	16	3	35%	6%	63	-0.9	.194/.252/.355	.161	.294	18	4	39%	6%	65	-0.7	.218/.277/.437	.219	.284	32	2	35%	7%	94	+0.9
✕Aaron Luna 2009 · A	22	43	50	50→45	45	.215/.318/.372	.157	.292	18	8	31%	8%	98	+1.6	.214/.320/.369	.155	.268	17	7	26%	8%	98	+1.6	.212/.320/.363	.151	.264	17	7	25%	8%	94	+0.8
✕Sherten Apostel 2020 · A	21	37→32	47→50	44→40	45	.194/.269/.328	.134	.267	16	4	33%	9%	66	-0.6	.198/.261/.326	.128	.305	15	4	38%	7%	61	-1.0	.191/.253/.324	.132	.303	16	0	40%	6%	54	-0.7
✕Wes Clarke 2022 · A	22	45→38	50→55	46→40	50	.222/.318/.374	.152	.300	17	7	30%	10%	98	+1.6	.195/.293/.360	.165	.290	20	4	37%	11%	84	+0.6	.190/.295/.363	.173	.279	23	4	38%	12%	84	+0.5
✕Zack Collins 2018 · AA	23	37→42	47→50	42→40	46	.185/.275/.321	.137	.291	15	3	39%	11%	66	-0.6	.198/.295/.349	.151	.306	17	3	37%	12%	82	+0.5	.196/.301/.351	.156	.289	18	2	35%	13%	83	+0.4
✕Freuddy Batista 2022 · A	22	39	51→50	46→40	39	.204/.263/.362	.157	.283	19	7	34%	7%	71	-0.3	.207/.269/.341	.134	.304	14	6	35%	6%	68	-0.5	.202/.254/.336	.134	.282	14	1	33%	5%	57	-0.6
✕Joe DeCarlo 2017 · A	23	39→38	45→50	46→30	45	.193/.281/.316	.123	.278	13	2	33%	9%	68	-0.5	.195/.274/.331	.136	.278	16	3	34%	8%	68	-0.5	.176/.253/.301	.125	.251	16	0	35%	7%	49	-0.8
✕Heriberto Hernández 2023 · A	23	39→45	52→55	45	40	.201/.277/.364	.164	.309	20	7	40%	8%	79	+0.3	.212/.291/.377	.165	.312	20	7	36%	9%	87	+0.8	.213/.297/.387	.174	.298	22	7	34%	10%	90	+0.8
✕Niko Hulsizer 2019 · A	22	44→30	47→60	51→50	42	.211/.300/.348	.138	.322	15	12	36%	8%	84	+0.6	.206/.285/.382	.176	.328	21	9	41%	8%	86	+0.8	.193/.269/.393	.200	.316	27	12	45%	8%	80	+0.2
●Tom Murphy 2014 · AA	23	40→35	50→65	43→45	38	.208/.269/.365	.156	.292	18	6	34%	6%	75	-0.0	.209/.263/.380	.171	.291	21	5	35%	6%	76	+0.1	.244/.316/.459	.215	.308	30	2	30%	9%	117	+1.2
✕Johan Mieses 2017 · A	22	37→32	51→55	46→50	36	.200/.247/.364	.164	.270	19	9	34%	5%	65	-0.7	.183/.234/.337	.154	.257	20	4	37%	5%	53	-1.5	.194/.269/.375	.181	.237	26	7	31%	7%	74	-0.0
✕Isan Díaz 2018 · A	22	40	47→55	45	43	.203/.272/.335	.133	.289	14	8	34%	8%	68	-0.5	.205/.274/.346	.141	.290	16	8	33%	8%	72	-0.2	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Carlos Narváez 2023 · A	24	36→45	47→50	47→45	43	.185/.270/.313	.127	.285	15	6	38%	9%	63	-0.9	.206/.289/.337	.131	.291	15	7	32%	9%	76	+0.1	.215/.298/.353	.138	.288	16	6	29%	9%	82	+0.3
✕Ian Rice 2017 · A	23	44→40	48→50	43→30	49	.219/.298/.359	.140	.287	16	5	28%	9%	85	+0.7	.205/.289/.350	.145	.278	18	3	31%	10%	80	+0.4	.184/.274/.315	.131	.252	17	0	32%	10%	62	-0.5
●Derek Norris 2011 · A	22	41→51	51→55	44→50	51	.210/.308/.369	.158	.282	19	6	31%	11%	92	+1.2	.208/.299/.376	.168	.272	20	10	30%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)